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ELISSA NADWORNY, HOST:
What does…
(SOUNDBITE OF ARCHIVED RECORDING)
UNIDENTIFIED PERSON: (Reading) It was the best of times. It was the worst of times.
NADWORNY: …And…
(SOUNDBITE OF SONG, “BABY I’M A STAR”)
PRINCE: (Singing) Hey. Look me over. Tell me. Do you like what you see?
NADWORNY: …Have in common? Well, a lot, according to a new book by author Nick Hornby called “Dickens And Prince” – Dickens as in Charles Dickens, the 19th-century English author, and Prince as in, well, Prince.
NICK HORNBY: They both worked harder than perhaps anyone’s ever worked in the field of the arts.
NADWORNY: Hornby says he started to make the connection a couple of years ago, when Prince’s the “Sign O’ The Times” box set came out.
HORNBY: There’s something like 63 extra songs, and that’s the extra on top of a double album. And it turned out that Prince was working on three different albums at once. And I thought, oh, that’s so weird, because Dickens used to write two books at once, and it went on from there.
NADWORNY: He sees the two as creative idols. He has loved Dickens since he came across “Bleak House” on his own at university.
HORNBY: I think I was very grateful that I’d never been introduced to Dickens before because one of the problems I have when I recommend him to people is that they’ve tried to read him at school, and they hate him because those are some long sentences and some long books. And they miss the joy and the humor. And Dickens is so funny.
NADWORNY: And he first saw Prince in concert in the ’80s and said it was life-changing.
HORNBY: It was an extraordinary show with his huge band all synchronized to within an inch of their lives, dancers horn section. It was just in the wake of “Purple Rain,” and he’d kind of returned to his funk roots, I guess. But I just came, having had my socks knocked off, thinking I can’t do any kind of straight job.
NADWORNY: The full name of Nick Hornby’s new book is “Dickens And Prince: A Particular Kind Of Genius.” I started by asking him what exactly that particular kind of genius was.
HORNBY: With both of them, I think their creativity was unstoppable. It’s like they didn’t even need to think about it. It just poured out of them. If you see what Dickens did in the course of an average day, you get tired.
NADWORNY: (Laughter).
HORNBY: I mean, there’s 12 volumes of letters. And each of those volumes of letters is about the size of one of his novels. He’s got the novels as well. Plus, he edited magazine. He wrote plays. He went on tours. He had 10 kids. So it’s very hard to imagine that he slept. And this business of writing two books at once, I think if you’re a writer, it’s just impossible to get your head around. These are big, complicated books full of people and complicated plots. And he kept them somehow apart in his head and moved from one to the other, as far as we know, in the same week.
NADWORNY: And how does that compare to Prince?
HORNBY: Well, Prince never stopped recording. He woke up in the morning, and he recorded. And there is an estimate that there’s enough – a new album every six months for the next 40 years or something, everything that’s in his vault that wasn’t released. He recorded too much for his record company. And he went on these tours, which, once he’d finished the show, his people would have found him somewhere else to play. So the show’s finished at 11, and then it starts another one at 1 in the morning and play a two or three-hour show with the band. That’s when he did a lot of cover versions, and it was much looser. But yeah, who does a show after they’ve done a show and then wakes up in the morning and records 20 songs?
NADWORNY: I loved your notion that part of why their output was so high was that both Dickens and Prince were not actually perfectionists.
HORNBY: Yeah. I think that’s a very interesting part of what I was interested in. And they were so consumed, I think, with new ideas and wanting to get on and wanting to finish what they’d started, that they didn’t have time to go over things again and again and again. They just wanted to move on. And Prince really didn’t have the time to spend a year on a track like some contemporary bands are repeated to have done. He was like, get it down and move on. And there’s a lovely story that his recording engineer, Susan Rogers, tells about building him a studio. And she was very nervous about him using it for the first time. And he came in. And he wanted to record the song, “The Ballad Of Dorothy Parker,” that’s on “Sign O’ The Times.” And when she played it back, it sounded like he’d recorded it underwater.
(SOUNDBITE OF SONG, “THE BALLAD OF DOROTHY PARKER”)
PRINCE: (Singing) Dorothy was a waitress on the promenade. She worked the night shift.
HORNBY: And she was horrified. But he kind of shrugged and lived with it. And he liked the way it sounded. And that’s exactly how it is on the album.
(SOUNDBITE OF SONG, “THE BALLAD OF DOROTHY PARKER”)
PRINCE: (Singing) Well, earlier I’d been talking stuff in a violent room.
HORNBY: Dickens basically published first drafts, even though there were a lot of amendments on his manuscript pages. But he didn’t go back over the work when it was published in book form, for example. There was just too much to do, and I think that’s such a generous way of working.
NADWORNY: Yeah. As you point out in your book, we tend to look for these kind of connections and comparisons in our idols – Prince, Dickens. Why is that? Like, what do you think we can learn from exploring them in this way to figure out kind of how they impact us and how they connect with each other?
HORNBY: Well, one of the things that was interesting to me once I’d finished the book was that I realized that I’d been writing about two superstars. And if you want to write about a 19th-century superstar, you’re not spoiled for choice, actually, because people tended to hang out in their own countries. But Dickens cracked America like the Beatles did. And so I was comparing their success as much as anything. And both of them were so successful. That gave me an opportunity to do that. But also, we’ve got these places in our heart and head for particular artists. And I guess we look for our own connections. If you love Bruce Springsteen as much as you love Anne Tyler, then maybe you’re thinking, what do they have? What do they have in common? And I actually can see things with those two that they probably wouldn’t know about each other. But the way it comes through me makes sense to me.
NADWORNY: Well, it’s interesting that you say – you phrase it like that, how it comes through you, because I felt like there were sort of three main characters in the book – Dickens, Prince and you. You bring yourself into this analysis.
HORNBY: Yeah. It’s a memoir as well, I guess (laughter).
NADWORNY: Yeah, kind of a meditation on your own career and creative process and kind of how these works influenced you.
HORNBY: Yes. And what I can learn from the way they worked to get myself to work more and harder and better.
NADWORNY: Nick Hornby. His new book is “Dickens And Prince: A Particular Kind Of Genius.” Thanks so much for being with us.
HORNBY: Thank you for having me. Transcript provided by NPR, Copyright NPR.

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World Cup Road Trip, Day 11: Chatting Panini stickers with Biscan and lunch at Boban’s restaurant  The Athletic
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Wingspan Development Group has opened its 284-apartment luxury community in Plainfield, Ill. The asset, situated at 14750 S. Wallin Drive, is 40 miles southwest of downtown Chicago.
The eight-building, garden-style community, constructed by Nicholas & Associates, is 80 percent leased. According to Yardi Matrix data, the asset has been in preleasing since November 2021, with an average absorption rate of 16 units per month.
Sixteen30 features a cybercafé, an outdoor grilling area and office and pet spaces. The property has a 7,500-square-foot clubhouse with pool, which won a Platinum Key Award for community design/amenities from the Home Builders Association of Greater Chicago. Additional amenities include a coffee bar, fitness center, yoga studio, demonstration kitchen and office and hoteling suites.
Studio, one-, two- and three-bedroom apartments range from 600 square feet to 1,500 square feet. Individual units feature washers and dryers, 9-foot ceilings, walk-in closets, keyless entry and a patio or balcony option.
READ ALSO: Fulfilling Cities With Infill Architecture
Downtown Plainfield, a 10-minute walk from Sixteen30, has a variety of dining, shopping and recreation options. Less than a half-mile from the property is the PACE Park-n-Ride facility and the Wallin Oaks Elementary School. Plainfield North High School and Ira Jones Middle School are in proximity to the community.
The Nov. 1 opening ceremony was attended by development partners and local officials, including Plainfield Mayor John Argoudelis.
Lincoln Property Co. is heading up leasing and property management for the community.
The Chicago multifamily market is on a solid trajectory despite playing catch-up. After $3.9 billion in transactions in 2021, the first seven months of 2022 added $1.4 billion. While transactions are down 14 percent year-over-year, rents in the area are rising.
The latest multifamily news, delivered every morning.

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The global IT Leasing and Financing market size was valued at USD 424914.4 million in 2021 and is expected to expand at a CAGR of 16.48% during the forecast period, reaching USD 1061319.34 million by 2027. Pre & Post COVID-19 Impact Covered in this Report.
Global “IT Leasing and Financing Market” (2022-2027) research report presents a point by point analysis of the key trends, opportunities, challenges, and growth drivers of the market. IT Leasing and Financing Market research report states Scenario by Region/Country. IT Leasing and Financing market is expected to develop at a very crucial CAGR in the destiny duration because the scope and its applications are growing spectacularly worldwide. IT Leasing and Financing Market sort data by Segment by Type, Application and Marketing Channel. IT Leasing and Financing Market report states Market investment scenario by market share, market growth (value and volume).
With tables and figures helping analyze worldwide Global IT Leasing and Financing market trends, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.
Get a Sample PDF of the Report at–https://www.researchreportsworld.com/enquiry/request-sample/21903664
Key players in the global IT Leasing and Financing market covered in Chapter 9:
About IT Leasing and Financing Market and Market Insights:
The global IT Leasing and Financing market size was valued at USD 424914.4 million in 2021 and is expected to expand at a CAGR of 16.48% during the forecast period, reaching USD 1061319.34 million by 2027.
IT leases typically require a fixed monthly fee during the lease agreement. IT finance departments use IT equipment or other equipment for lease or lease. This avoids the need to invest in equipment, but still allows the company to operate effectively in a short period of time.
The report combines extensive quantitative analysis and exhaustive qualitative analysis, ranges from a macro overview of the total market size, industry chain, and market dynamics to micro details of segment markets by type, application and region, and, as a result, provides a holistic view of, as well as a deep insight into the IT Leasing and Financing market covering all its essential aspects.
For the competitive landscape, the report also introduces players in the industry from the perspective of the market share, concentration ratio, etc., and describes the leading companies in detail, with which the readers can get a better idea of their competitors and acquire an in-depth understanding of the competitive situation. Further, mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts will all be considered.
In a nutshell, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the market in any manner.
Get a Sample Copy of the IT Leasing and Financing Market Report 2022-2027
Global IT Leasing and Financing Market Segmentation:
Global IT Leasing and Financing Market is segmented in various types and applications according to product type and category. In terms of Value and Volume the growth of market calculated by providing CAGR for forecast period for year 2022 to 2027.
In Chapter 5 and Chapter 7.3, based on types, the IT Leasing and Financing market from 2017 to 2027 is primarily split into:
In Chapter 6 and Chapter 7.4, based on applications, the IT Leasing and Financing market from 2017 to 2027 covers:
Impact of COVID-19 on IT Leasing and Financing Market:
IT Leasing and Financing Market report analyses the impact of Coronavirus (COVID-19) on the IT Leasing and Financing industry. IT Leasing and Financing Market report explained the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for IT Leasing and Financing in a special period. This report also compares the market of Pre COVID-19 and Post COVID-19. Also report covers the analysis of the impact of COVID-19 from the perspective of the industry chain.
The biggest highlight of the report is to provide companies in the industry with a strategic analysis of the impact of COVID-19. At the same time, this report analyzed the market of leading 20 countries and introduce the market potential of these countries.
To Understand How COVID-19 Impact is covered in This Report. Get Sample copy of the report at-https://www.researchreportsworld.com/enquiry/request-covid19/21903664
Market Overview:
The report provides a basic overview of the industry including definitions, classifications, and industry chain structure. The IT Leasing and Financing market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand, price, revenue and gross margins. The report focuses on major leading industry players providing information such as company profiles, product picture and specification, shipments, price, revenue and contact information. The IT Leasing and Financing industry development trends are analyzed.
The IT Leasing and Financing market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations during forecast period (2022-2027).
Some Question by Clients and Our Answer:
– Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the IT Leasing and Financing market?
Yes. As the COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters 1.7, 2.7, 4.1, 7.5, 8.7, we elaborate at full length on the impact of the pandemic and the war on the IT Leasing and Financing Industry.
– How do you determine the list of the key players included in the report?
With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale, but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.
Please find the key player list in Summary.
– What are your main data sources?
Both Primary and Secondary data sources are being used while compiling the report.
Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users.
Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.
Please find a more complete list of data sources in Chapters 11.2.1 and 11.2.2.
– Can I modify the scope of the report and customize it to suit my requirements?
Yes. Customized requirements of multi-dimensional, deep-level and high-quality can help our customers precisely grasp market opportunities, effortlessly confront market challenges, properly formulate market strategies and act promptly, thus to win them sufficient time and space for market competition.
– What was the IT Leasing and Financing market share (%) distribution and how it will look like in 2027?
– What will be the IT Leasing and Financing total market size as well as market size by devices across the during the forecast period (2022-2027)?
– What are the key findings pertaining to the market and which country will have the largest IT Leasing and Financing market size during the forecast period?
– At what CAGR, the IT Leasing and Financing market is expected to grow in the top regions during the forecast period?
– What will be the IT Leasing and Financing market outlook during the forecast period?
– What will be the IT Leasing and Financing market growth till 2027 and what will be the resultant market size in the year 2027?
Get a Sample Copy of the IT Leasing and Financing Market Report 2022-2027
Scope of the Report:
The report covers the descriptive overview of IT Leasing and Financing, explaining its applications, advantages, and limitations, etc.
Additionally, an all-inclusive account of the currently available IT Leasing and Financing is provided, which will have an impact on the future market of IT Leasing and Financing.
A detailed review of IT Leasing and Financing market; historical and forecasted market size is included in the report.
The report provides an edge while developing business strategies, by understanding trends shaping and driving the IT Leasing and Financing market.
The report Global IT Leasing and Financing Market (2022-2027) provides an in-depth analysis of the global IT Leasing and Financing market including detailed description of market sizing and growth. The report provides analysis of the global IT Leasing and Financing market by value and the global IT Leasing and Financing market by region. The report also provides regional analysis of the IT Leasing and Financing market for various other regions such as the US, Europe, Japan, China and India.
Furthermore, the report also assesses the key opportunities in the market and outlines the factors that are and will be driving the growth of the industry. Growth of the overall global IT Leasing and Financing market has also been forecasted for the period 2022-2027, taking into consideration the previous growth patterns, the growth drivers and the current and future trends.
Enquire before purchasing this report –https://www.researchreportsworld.com/enquiry/pre-order-enquiry/21903664
Regions and Countries Level Analysis
Regional analysis is another highly comprehensive part of the research and analysis study of the global IT Leasing and Financing market presented in the report. This section sheds light on the sales growth of different regional and country-level IT Leasing and Financing markets. Research report provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global IT Leasing and Financing market.
Geographically, the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2017-2027) of the following regions:
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Table of Content:
1 IT Leasing and Financing Market Overview
1.1 Product Overview and Scope of IT Leasing and Financing Market
1.2 IT Leasing and Financing Market Segment by Type
1.2.1 Global IT Leasing and Financing Market Sales Volume and CAGR (%) Comparison by Type (2017-2027)
1.3 Global IT Leasing and Financing Market Segment by Application
1.3.1 IT Leasing and Financing Market Consumption (Sales Volume) Comparison by Application (2017-2027)
1.4 Global IT Leasing and Financing Market, Region Wise (2017-2027)
1.4.1 Global IT Leasing and Financing Market Size (Revenue) and CAGR (%) Comparison by Region (2017-2027)
1.4.2 United States IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.3 Europe IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.4 China IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.5 Japan IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.6 India IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.7 Southeast Asia IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.8 Latin America IT Leasing and Financing Market Status and Prospect (2017-2027)
1.4.9 Middle East and Africa IT Leasing and Financing Market Status and Prospect (2017-2027)
1.5 Global Market Size of IT Leasing and Financing (2017-2027)
1.5.1 Global IT Leasing and Financing Market Revenue Status and Outlook (2017-2027)
1.5.2 Global IT Leasing and Financing Market Sales Volume Status and Outlook (2017-2027)
1.6 Global Macroeconomic Analysis
1.7 The impact of the Russia-Ukraine war on the IT Leasing and Financing Market
2 Industry Outlook
2.1 IT Leasing and Financing Industry Technology Status and Trends
2.2 Industry Entry Barriers
2.2.1 Analysis of Financial Barriers
2.2.2 Analysis of Technical Barriers
2.2.3 Analysis of Talent Barriers
2.2.4 Analysis of Brand Barrier
2.3 IT Leasing and Financing Market Drivers Analysis
2.4 IT Leasing and Financing Market Challenges Analysis
2.5 Emerging Market Trends
2.6 Consumer Preference Analysis
2.7 IT Leasing and Financing Industry Development Trends under COVID-19 Outbreak
2.7.1 Global COVID-19 Status Overview
2.7.2 Influence of COVID-19 Outbreak on IT Leasing and Financing Industry Development
3 Global IT Leasing and Financing Market Landscape by Player
3.1 Global IT Leasing and Financing Sales Volume and Share by Player (2017-2022)
3.2 Global IT Leasing and Financing Revenue and Market Share by Player (2017-2022)
3.3 Global IT Leasing and Financing Average Price by Player (2017-2022)
3.4 Global IT Leasing and Financing Gross Margin by Player (2017-2022)
3.5 IT Leasing and Financing Market Competitive Situation and Trends
3.5.1 IT Leasing and Financing Market Concentration Rate
3.5.2 IT Leasing and Financing Market Share of Top 3 and Top 6 Players
3.5.3 Mergers and Acquisitions, Expansion
4 Global IT Leasing and Financing Sales Volume and Revenue Region Wise (2017-2022)
4.1 Global IT Leasing and Financing Sales Volume and Market Share, Region Wise (2017-2022)
4.2 Global IT Leasing and Financing Revenue and Market Share, Region Wise (2017-2022)
4.3 Global IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.4 United States IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.4.1 United States IT Leasing and Financing Market Under COVID-19
4.5 Europe IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.5.1 Europe IT Leasing and Financing Market Under COVID-19
4.6 China IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.6.1 China IT Leasing and Financing Market Under COVID-19
4.7 Japan IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.7.1 Japan IT Leasing and Financing Market Under COVID-19
4.8 India IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.8.1 India IT Leasing and Financing Market Under COVID-19
4.9 Southeast Asia IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.9.1 Southeast Asia IT Leasing and Financing Market Under COVID-19
4.10 Latin America IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.10.1 Latin America IT Leasing and Financing Market Under COVID-19
4.11 Middle East and Africa IT Leasing and Financing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.11.1 Middle East and Africa IT Leasing and Financing Market Under COVID-19
5 Global IT Leasing and Financing Sales Volume, Revenue, Price Trend by Type
5.1 Global IT Leasing and Financing Sales Volume and Market Share by Type (2017-2022)
5.2 Global IT Leasing and Financing Revenue and Market Share by Type (2017-2022)
5.3 Global IT Leasing and Financing Price by Type (2017-2022)
5.4 Global IT Leasing and Financing Sales Volume, Revenue and Growth Rate by Type (2017-2022)
5.4.1 Global IT Leasing and Financing Sales Volume, Revenue and Growth Rate of Hardware (2017-2022)
5.4.2 Global IT Leasing and Financing Sales Volume, Revenue and Growth Rate of Software (2017-2022)
5.4.3 Global IT Leasing and Financing Sales Volume, Revenue and Growth Rate of Service (2017-2022)
6 Global IT Leasing and Financing Market Analysis by Application
6.1 Global IT Leasing and Financing Consumption and Market Share by Application (2017-2022)
6.2 Global IT Leasing and Financing Consumption Revenue and Market Share by Application (2017-2022)
6.3 Global IT Leasing and Financing Consumption and Growth Rate by Application (2017-2022)
6.3.1 Global IT Leasing and Financing Consumption and Growth Rate of Listed Companies (2017-2022)
6.3.2 Global IT Leasing and Financing Consumption and Growth Rate of Small and Medium Companies (2017-2022)
6.3.3 Global IT Leasing and Financing Consumption and Growth Rate of Government Agency (2017-2022)
6.3.4 Global IT Leasing and Financing Consumption and Growth Rate of Others (2017-2022)
7 Global IT Leasing and Financing Market Forecast (2022-2027)
7.1 Global IT Leasing and Financing Sales Volume, Revenue Forecast (2022-2027)
7.1.1 Global IT Leasing and Financing Sales Volume and Growth Rate Forecast (2022-2027)
7.1.2 Global IT Leasing and Financing Revenue and Growth Rate Forecast (2022-2027)
7.1.3 Global IT Leasing and Financing Price and Trend Forecast (2022-2027)
7.2 Global IT Leasing and Financing Sales Volume and Revenue Forecast, Region Wise (2022-2027)
7.2.1 United States IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.2 Europe IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.3 China IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.4 Japan IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.5 India IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.6 Southeast Asia IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.7 Latin America IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.2.8 Middle East and Africa IT Leasing and Financing Sales Volume and Revenue Forecast (2022-2027)
7.3 Global IT Leasing and Financing Sales Volume, Revenue and Price Forecast by Type (2022-2027)
7.3.1 Global IT Leasing and Financing Revenue and Growth Rate of Hardware (2022-2027)
7.3.2 Global IT Leasing and Financing Revenue and Growth Rate of Software (2022-2027)
7.3.3 Global IT Leasing and Financing Revenue and Growth Rate of Service (2022-2027)
7.4 Global IT Leasing and Financing Consumption Forecast by Application (2022-2027)
7.4.1 Global IT Leasing and Financing Consumption Value and Growth Rate of Listed Companies(2022-2027)
7.4.2 Global IT Leasing and Financing Consumption Value and Growth Rate of Small and Medium Companies(2022-2027)
7.4.3 Global IT Leasing and Financing Consumption Value and Growth Rate of Government Agency(2022-2027)
7.4.4 Global IT Leasing and Financing Consumption Value and Growth Rate of Others(2022-2027)
7.5 IT Leasing and Financing Market Forecast Under COVID-19
8 IT Leasing and Financing Market Upstream and Downstream Analysis
8.1 IT Leasing and Financing Industrial Chain Analysis
8.2 Key Raw Materials Suppliers and Price Analysis
8.3 Manufacturing Cost Structure Analysis
8.3.1 Labor Cost Analysis
8.3.2 Energy Costs Analysis
8.3.3 RandD Costs Analysis
8.4 Alternative Product Analysis
8.5 Major Distributors of IT Leasing and Financing Analysis
8.6 Major Downstream Buyers of IT Leasing and Financing Analysis
8.7 Impact of COVID-19 and the Russia-Ukraine war on the Upstream and Downstream in the IT Leasing and Financing Industry
9 Players Profiles
9.1 Apple
9.1.1 Apple Basic Information, Manufacturing Base, Sales Region and Competitors
9.1.2 IT Leasing and Financing Product Profiles, Application and Specification
9.1.3 Apple Market Performance (2017-2022)
9.1.4 Recent Development
9.1.5 SWOT Analysis
9.2 NCH Software
9.2.1 NCH Software Basic Information, Manufacturing Base, Sales Region and Competitors
9.2.2 IT Leasing and Financing Product Profiles, Application and Specification
9.2.3 NCH Software Market Performance (2017-2022)
9.2.4 Recent Development
9.2.5 SWOT Analysis
9.3 Cakewalk
9.3.1 Cakewalk Basic Information, Manufacturing Base, Sales Region and Competitors
9.3.2 IT Leasing and Financing Product Profiles, Application and Specification
9.3.3 Cakewalk Market Performance (2017-2022)
9.3.4 Recent Development
9.3.5 SWOT Analysis
9.4 Magix
9.4.1 Magix Basic Information, Manufacturing Base, Sales Region and Competitors
9.4.2 IT Leasing and Financing Product Profiles, Application and Specification
9.4.3 Magix Market Performance (2017-2022)
9.4.4 Recent Development
9.4.5 SWOT Analysis
9.5 Propellerhead Software
9.5.1 Propellerhead Software Basic Information, Manufacturing Base, Sales Region and Competitors
9.5.2 IT Leasing and Financing Product Profiles, Application and Specification
9.5.3 Propellerhead Software Market Performance (2017-2022)
9.5.4 Recent Development
9.5.5 SWOT Analysis
9.6 Cockos
9.6.1 Cockos Basic Information, Manufacturing Base, Sales Region and Competitors
9.6.2 IT Leasing and Financing Product Profiles, Application and Specification
9.6.3 Cockos Market Performance (2017-2022)
9.6.4 Recent Development
9.6.5 SWOT Analysis
9.7 Acon Digital
9.7.1 Acon Digital Basic Information, Manufacturing Base, Sales Region and Competitors
9.7.2 IT Leasing and Financing Product Profiles, Application and Specification
9.7.3 Acon Digital Market Performance (2017-2022)
9.7.4 Recent Development
9.7.5 SWOT Analysis
9.8 PreSonus Audio Electronics
9.8.1 PreSonus Audio Electronics Basic Information, Manufacturing Base, Sales Region and Competitors
9.8.2 IT Leasing and Financing Product Profiles, Application and Specification
9.8.3 PreSonus Audio Electronics Market Performance (2017-2022)
9.8.4 Recent Development
9.8.5 SWOT Analysis
9.9 Avid Technology
9.9.1 Avid Technology Basic Information, Manufacturing Base, Sales Region and Competitors
9.9.2 IT Leasing and Financing Product Profiles, Application and Specification
9.9.3 Avid Technology Market Performance (2017-2022)
9.9.4 Recent Development
9.9.5 SWOT Analysis
9.10 Ableton
9.10.1 Ableton Basic Information, Manufacturing Base, Sales Region and Competitors
9.10.2 IT Leasing and Financing Product Profiles, Application and Specification
9.10.3 Ableton Market Performance (2017-2022)
9.10.4 Recent Development
9.10.5 SWOT Analysis
9.11 FL Studio
9.11.1 FL Studio Basic Information, Manufacturing Base, Sales Region and Competitors
9.11.2 IT Leasing and Financing Product Profiles, Application and Specification
9.11.3 FL Studio Market Performance (2017-2022)
9.11.4 Recent Development
9.11.5 SWOT Analysis
9.12 Steinberg Media Technologies
9.12.1 Steinberg Media Technologies Basic Information, Manufacturing Base, Sales Region and Competitors
9.12.2 IT Leasing and Financing Product Profiles, Application and Specification
9.12.3 Steinberg Media Technologies Market Performance (2017-2022)
9.12.4 Recent Development
9.12.5 SWOT Analysis
9.13 Adobe
9.13.1 Adobe Basic Information, Manufacturing Base, Sales Region and Competitors
9.13.2 IT Leasing and Financing Product Profiles, Application and Specification
9.13.3 Adobe Market Performance (2017-2022)
9.13.4 Recent Development
9.13.5 SWOT Analysis
10 Research Findings and Conclusion
11 Appendix
11.1 Methodology
11.2 Research Data Source
 
Continued. . .
Browse complete table of contents at –https://www.researchreportsworld.com/TOC/21903664#TOC
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Asia-Pacific is the region most impacted by natural disasters, followed by sub-Saharan Africa, and Central America and the Caribbean.
Work challenges like the time pressure of upcoming deadlines, and family challenges such as a child’s academic, emotional, or behavioural difficulties, including conflict like…
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Chinese authorities have unveiled sweeping measures to rescue struggling property sector.
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Swartz’s multidisciplinary work and practice engages with themes of the environment, healing, and finding balance.
Artnet Gallery Network, November 11, 2022
Every month, hundreds of galleries add newly available works by thousands of artists to the Artnet Gallery Network—and every week, we shine a spotlight on one artist or exhibition you should know. Check out what we have in store, and inquire for more with one simple click.
About the Artist: Artist Susan Swartz’s career is exceptionally multifaceted, and includes philanthropy, activism, film production, and, of course, painting. What makes Swartz’s endeavors so unique and intriguing are the ways these many facets inform one another. A defining source of inspiration and motivation in Swartz’s work has been her experiences with chronic illness, including Lyme disease. This has resulted in films like the 2008 award-winning Under Our Skin, and a series of paintings that engage with and promote the importance of the natural world in the processes of healing. Swartz’s personal journey is one that she consistently seeks to share through her work, with the aim of helping others and aiding causes that inspire care for the environment, as well as changing how people view the natural world.
Why We Like It: Swartz’s paintings have an intriguing tactility that is in large part due to her use of dried fruit, flowers, and other natural materials on her canvases. By physically employing such organic elements in her work, Swartz engages both literally and thematically with ideas of nature, immunity, and humans’ inextricable link with their lived environment. Painting with a purpose is a hallmark of Swartz’s practice, and it extends past just creating gorgeous, large-scale canvases into philanthropy. This year, Swartz contributed her painting Evolution of Nature 24 (2022) to the Sotheby’s Contemporary Discoveries benefit auction to support Instituto Terra. The work was chosen for the event while on view at the Susan Swartz Studios exhibition “August Day” this summer.
According to the Artist: “I’m often described as an environmental artist and that is an honor, but it is not a political stance for me. I seek to pay tribute to nature by painting the world as it is meant to be, so that we are inspired to protect it and take care of it… I have always been interested in the alchemy that exists between nature and art. With Covid, the importance of a strong immune system is critical. As I was working to build my own immune system, the thought came to me that I should include these elements in my paintings, so the world could reflect on the importance of our natural foods.”
See recent work by Susan Swartz below.
Susan Swartz, Evolution of Nature 24 (2022). Courtesy of Susan Swartz Studios.
Susan Swartz, Evolution of Nature 25 (2022). Courtesy of Susan Swartz Studios.
Susan Swartz, Evolution of Nature 19 (2021). Courtesy of Susan Swartz Studios.
Susan Swartz, Evolution of Nature 17 (2021). Courtesy of Susan Swartz Studios.
Susan Swartz, Natures Resurgence 3 (2020). Courtesy of Susan Swartz Studios.
Learn more about Susan Swartz Studios here.

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By Annikka Olsen, Nov 11, 2022
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November 13, 2022 Cholo Brooks Africa 0
A video of the sailors seeking the government of India’s help to secure their release went viral on social media earlier this week.
The Ministry of External Affairs on Thursday said all possible consular assistance will be provided to the 16 Indian sailors in detention in Equatorial Guinea and that it was making all efforts for an early resolution of the matter.
A video of the sailors seeking the government of India’s help to secure their release went viral on social media earlier this week. They have allegedly been detained for over 85 days now by the Guinean navy.
Ministry of External Affairs spokesperson Arindam Bagchi said the ministry is aware of the case and at least 16 Indian sailors from a ship, which also has people of other nationalities, are detained.
He, however, refused to comment on the nature of the charges against them or the legal processes involved.
“Our missions are in Malabo (Equatorial Guinea) and in Abuja in Nigeria. Both these missions are closely engaged with their respective local authorities in this case. We are also in touch with the detained sailors. We have had several rounds of consular access to these sailors,” he said at a media briefing.
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As Liberia Prepares For 2023 General and Presidential Elections Who Do You Think Must Be The Preferred Choice?

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SSL updates 360 with new controller templates for LUNA and Pyramix.  ·  Source:
The SSL 360 V1.4 update is here, bringing Merging Technologies’ Pyramix and Universal Audio LUNA DAW control templates for the UF8 and UC1.
In addition, there are a few other improvements and expansions to the SSL software bundles and a new 6-month SSL Complete subscription.
After the recent release of the 4K B channel strip plug-in, that comes with the UC1 controller, it’s now time to expand the SSL 360 software system.
Let’s take a look at some of the features:
Merging Technologies Director of Pro-Sales Solutions, Chris Hollebone, said that “Merging has enjoyed a long and productive relationship with Solid State Logic and we are delighted that UF8 Advanced DAW Controller can now control Pyramix, many of our customers will enthusiastically welcome this addition to the list of controllers.”
Meanwhile, Lev Perrey, VP of Product at Universal Audio stated that they “are thrilled to have deep integration between SSL Control Surfaces and LUNA, LUNA’s unique control surface features work best on SSL surfaces, combining to give our users record quality mixes faster than any other combination.“
SSL UF8
SSL 360° V1.4 is available as a free update direct from the SSL official page.
All registered UF8 and UC1 owners have access to a six-month free subscription to SSL Complete. You can unlock this via your SSL user account.
SSL UC1
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14 Nov · I have got a G&L Legacy Tribute which I would add to this list. A few minor flaws to the finish (rough frets, for example) but plays and sounds really good.
14 Nov · Forgot one big thing. Mackie 8 bus consoles. Liam Howlett has talked about this a lot. He credits the sound of Prodigy to overdriving the pre’s on the Mackie 24/32 8-bus boards.
13 Nov · Thanks for the suggestion, but at close to $500, the Slate VSX is far from being a budget set of headphones.

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DUNN – Central Baptist Church will present Thanksgiving: The Musical, their first-ever, all-original Thanksgiving drama on November 19 and 20. All seating for this presentation is free.
Worship Pastor Darren Hughes said, “Christmas is an amazing time of year as we look forward to celebrating the entrance of God in the flesh into the world.  We have traditionally gone all out with a big drama and music production. Because there are a lot of Christmas events in the community and in our region, we wanted to draw more attention to Thanksgiving this year.  So we wrote a Thanksgiving Musical.  As usual, our choir and drama team will be part of this event, but this will be the first for us where the cast sings, making it a true musical.  We’re very excited to share these songs written by writers in our church family!”
Thanksgiving isn’t just about the turkey and mashed potatoes, it’s about family. But there’s nothing like the holidays to bring out the dysfunction in our family functions. Are we really one big happy family?
CBC’s choir and drama teams aim to serve up a main course of old-fashioned nostalgia and gratitude (with a side of lighthearted humor). Before you rush into Christmas, experience Thanksgiving, the Musical! Saturday, November 19th at 6pm or Sunday, November 20th at 10am.
Central Baptist Church is located four miles south of Dunn on Highway 421 at 6050 Plain View Highway, (Exit 73 off I-95). For more information call 910-892-7914 or visit www.cbcdunn.com.

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Redshift – English
Thanks to improving infrastructure, a surplus of workers, a rising middle class, diversifying economies, expanding democracy, and free trade, African countries are offering new opportunities in housing development. Ernst & Young calls Africa “one of the last frontier markets” for global investors.
Still, obstacles remain. Take Kenya: Per the World Bank, from 2015 to 2019, the country’s economy grew an average of 4.8% per year—which is faster than many countries of similar income and than regional peers.  And yet more than a third of the country’s population lives in poverty.
“The country has made significant political and economic reforms that have contributed to sustained economic growth, social development, and political stability gains over the past decade,” the World Bank reports. However, its key development challenges still include poverty, inequality, youth unemployment, transparency and accountability, climate change, continued weak private sector investment, and the vulnerability of the economy to internal and external shocks.
Those challenges will only grow in the decades ahead, according to Nairobi-based architecture, engineering, and construction firm BuildX Studio. Africa’s population is expected to double by 2050, at which point 35% of new construction globally will take place on the continent. In Kenya’s capital city, BuildX is responding by developing sustainable and affordable housing that will help the region grow responsibly and equitably.
“What we build today will form the Africa and the Africans of tomorrow,” said BuildX board member Elizabeth Wangeci Chege, vice chair of the World Green Building Council, quoted in BuildX’s 2021 Impact Report (PDF, p. 22). “Companies like BuildX Studio are pioneering innovative solutions for low-carbon, healthy buildings in East Africa.”
Exemplary of BuildX’s commitment is Zima Homes, an affordable and sustainable housing project on the outskirts of Nairobi that will encompass 137 studio, one-bedroom, and two-bedroom units, the average cost of which will be $23,000.
“We work toward delivering buildings that enhance people’s quality of life, well-being, equity, and access,” says Munene Mathenge, BuildX managing director. “We are committed to working with our clients to create a world where all buildings are radically better by making wiser energy and material decisions, while also assisting them in learning, adapting, and flourishing in the face of change.”
BuildX broke ground on Zima Homes in June 2022 and will complete the project, which has achieved preliminary EDGE certification, in early 2024.
The company conceived the project during the early days of the COVID-19 pandemic. “During that time, we realized: Everyone is at home, but many of the homes that people live in are undignified,” says architect Etta Madete Mukuba, Zima Homes co-founder and affordable housing lead at BuildX. She adds that sheltering in place might have been more harmful than healthy for people who lived in homes without good ventilation or natural lighting. And so Zima Homes was born, whose namesake is the Swahili word zima, which means “whole and healthy.” Designed to serve young, low-income Kenyans, Zima Homes will take a holistic approach to sustainability. “It’s not just incorporating nature into the building,” Mukuba says.
For instance, the project ensures thermal comfort through passive design. “We want people inside to experience the space without having to use air conditioning or turn on the lights,” continues Mukuba, who says cross-ventilation and large windows with sun-blocking shades are key features. “In Nairobi, there is a popular trend where many new buildings are just covering themselves in glass. But in tropical climates, having a building made of glass is basically designing a greenhouse for people. You’re going to use a lot of air-conditioning, which uses a lot of power and is not fit for the environment.”
Other sustainable features include rainwater-harvesting facilities and high-efficiency water fixtures, solar panels to provide clean and renewable energy to common areas (individual units will be solar-ready for owners who want to install solar power later at their own expense), a landscaped garden, and a green rooftop terrace. Plus, units will have balconies and generous corridors that will double as shared communal spaces.
And then there are materials, many of which will be prefabricated and most of which will be locally sourced. That includes prefab wall panels and beam-and-block floors. “Prefabricated materials are more sustainable than ordinary materials because it takes less time for construction and because their quality is checked at the factory,” Mukuba says. “Also, the system can be scaled. That means you only have to do things once, and then you can replicate them across many projects, which ends up reducing your overall consumption.”
Technology is a key enabler, according to BuildX architect Wekesa George. “Sustainability requires tracking data so you know if you’re actually making the impact that you want to make,” he says. “Technology makes it very easy to do that.”
Specifically, BuildX designed Zima Homes using Autodesk Revit, which can create digital models of the project to simulate and compare the environmental performance of various design choices. When deciding to use beam-and-block floors, for example, the architects could determine the impact it would have on the project’s carbon footprint and on the building’s operational efficiency relative to traditional concrete slab. Likewise, they could make calculations that helped them minimize the use of certain materials without compromising the building’s structural integrity.
“It enables us to explore different innovative systems quite quickly and played an important part in the efficiency of our design iterations,” says Mukuba, who adds that technology—for example, artificial intelligence and generative design—might eventually help BuildX automate its designs as it scales its efforts. “We want to build 10,000 affordable homes by 2030. Automation will be instrumental in ensuring we can hit that target.”
What’s good for the environment is good for people, according to BuildX, which says inclusivity and equity go hand-in-glove with sustainability.
“Sustainability provides affordability,” says Wekesa, who adds that traditional notions of affordable housing focus on reducing size and quality, whereas sustainable approaches focus on increasing efficiency. “If a space is smaller, it costs less. But that’s not the only thing you can do. There’s much more that you can do to achieve positive outcomes.”
BuildX believes in equity and inclusivity for the residents who will live in Zima Homes—and also for the workers who are building them. The 18-month project has created 650 jobs, including 100 jobs for low-income people. Filling some of those jobs are graduates of Buildher, a nonprofit sister organization to BuildX with a mission to equip young, disadvantaged Kenyan women with accredited construction skills to improve their financial prospects and promote gender equality within the construction sector.
“Traditionally in the Kenyan context, construction is quite a discriminatory environment against women,” Mukuba says, adding that BuildX makes its construction sites gender-inclusive with accommodations like dedicated restrooms for women and anti-harassment policies. “When it comes to homeownership it’s the same thing. In Kenya, only 1% of women are on land titles or homeownership titles, which is crazy because we are 50% of the population. To address that, we’re marketing our units by reaching out to women’s groups and people who otherwise would not necessarily be targeted for homeownership. Also, we’re creating an enabling environment by making sure there’s a female representative or a female salesperson to talk people through documents if [prospective buyers] don’t feel comfortable.”
Ultimately, what is healthful also will be helpful—not just for the Kenyans who live in Zima Homes, but for people all over the globe, according to BuildX, which hopes that the project will prove to developers and builders what is possible when they rethink their notions of affordability, equity, and sustainability.
“The biggest hindrance to projects like this isn’t design or sustainability,” Weeks says. “It’s the process of convincing people that it is actually possible to deliver a building that has all these qualities at this price point. The message receives a lot of resistance because it’s new and because it’s been tried before and failed. But you have to be persistent.”
Matt Alderton is a Chicago-based freelance writer specializing in business, design, food, travel, and technology. A graduate of Northwestern University's Medill School of Journalism, his past subjects have included everything from Beanie Babies and mega bridges to robots and chicken sandwiches. He may be reached via his website, MattAlderton.com.
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Football November 12, 2022 Joel Coleman, Senior Writer
STARKVILLE – For just the 12^th time ever, Mississippi State battles the nation’s No. 1 team as MSU hosts Georgia on Saturday. The two sets of Bulldogs square off in a 6 p.m. game at Davis Wade Stadium. The game is set to be televised by ESPN.
However, you can also keep it right here for the latest updates from Starkville including highlights, exclusive photos and commentary. Updates are posted in reverse chronological order, so the newest updates can be found first. Refresh your page for the very latest.
– FINAL: Georgia 45, Mississippi State 19.

– Touchdown Georgia. 34-yard run. PAT makes it 45-19 Georgia with 2:04 left.

– 5:17 left. Still 38-19 Georgia.

– MSU drives inside the UGA 10 on the ensuing drive, but can’t convert a fourth and short. UGA ball with 9:54 left. Georgia leads 38-19.

– Touchdown Georgia. Two-yard pass. PAT is good. 38-19 UGA with 14:55 left.

– END OF THE THIRD QUARTER: Georgia 31, Mississippi State 19 – UGA has it 2nd and goal from the MSU 2 when play resumes.

– Video evidence of that last MSU TD:
 
𝗧𝗢𝗨𝗖𝗛𝗗𝗢𝗪𝗡,
MISSISSIPPI STATE!#HailState🐶 | 📺: https://t.co/QmpLbXjJEy pic.twitter.com/SYc2VA7OVW

@ftfzayy_, 𝑻𝑶. 𝑻𝑯𝑬. 𝑯𝑶𝑼𝑺𝑬‼️#HailState🐶 pic.twitter.com/cbhKYZff9K

— Mississippi State Football (@HailStateFB) November 13, 2022

– TOUCHDOWN MSU!!! Yes, you read that right. State forces a three and out, then Zavion Thomas with a 63-yard punt return to the house! Two-point conversion attempt fails, but State now withiin five points. Georgia 17, MSU 12 with 3 seconds til half.

– FIELD GOAL MSU. Massimo Biscardi with a 36-yarder. Georgia 17, State 6 with 51 seconds left in the half.

– MSU fighting hard here before half. A 47-yard pass from Will Rogers to Jaden Walley gets State into the red zone as they look to answer the UGA TD.

– Touchdown Georgia. UGA answers the MSU score with an eight-play, 75-yard drive into the end zone. PAT is good. Georgia leads 17-3 with 2:29 left before the half.

– FIELD GOAL MSU. Massimo Biscardi hits a 25-yarder after a delay of game pushed him back five yards. Georgia 10, MSU 3 with 5:01 left until halftime.

– MSU drives to 3, but can’t get it in. Gonna set up for a field goal.

– MSU starts at its own 30 after the kickoff.

– Georgia field goal gives UGA a 10-0 lead with 11:57 left in the second quarter.

– END OF THE FIRST QUARTER: Georgia 7, Mississippi State 0, UGA witth the ball on the MSU 25 when play resumes.

– Georgia has driven to the MSU 25.

– MSU goes three and out. Punt goes out of bounds at the Georgia 39.

– Interception for MSU! Tyrus Wheat gets pressure and alters the Georgia throw. Collin Duncan picks it off and returns it to the MSU 34.

– MSU gets across the 50 and goes for it on a 4th and short but doesn’t convert. Georgia takes over on its own 48. Still 7-0 UGA with 3:43 left in the first quarter.

– MSU defense forces a Georgia three-and-out. Georgia punts. Zavion Thomas returns it to the MSU 43 and that’s where State will start.

– MSU starts at its own 25 and drives to near midfield, but is ultimately forced to punt again. Punt rolls dead at the Georgia 12 and that’s where UGA will start. Georgia up 7-0 with 7:21 left in the first quarter.

– Touchdown Georgia. UGA drove quickly down the field. State defense held strong and pushed UGA to a third and goal, but a 2-yard TD pass give Georgia the lead. PAT is good and Georgia leads Mississippi State 7-0 with 9:50 left in the first quarter.

– Starting from its own 25, MSU goes three-and-out on its first offensive possession. Punt puts Georgia at its own 28 to start its first drive.

– Mississippi State wins the toss and chooses to receive the opening kickoff. It’s game time folks!

– Getting closer. All out. All night. Fight for Mississippi State.

– A special Dawg Walk on Military Appreciation Night:

– What’s State wearing tonight? This right here. Maroon helmets, maroon tops, white pants:
 
@ftfzayy_, 𝑻𝑶. 𝑻𝑯𝑬. 𝑯𝑶𝑼𝑺𝑬‼️#HailState🐶 pic.twitter.com/cbhKYZff9K

𝑇𝑜𝑛𝑖𝑔ℎ𝑡’𝑠 𝑡ℎ𝑟𝑒𝑎𝑑𝑠.#HailState🐶 pic.twitter.com/qYfxc8LnYL

— Mississippi State Football (@HailStateFB) November 12, 2022

– Take a look at tonight’s game program:
 
𝑇𝑜𝑛𝑖𝑔ℎ𝑡’𝑠 𝑡ℎ𝑟𝑒𝑎𝑑𝑠.#HailState🐶 pic.twitter.com/qYfxc8LnYL

📖 Tonight’s game program is 𝐋𝐈𝐕𝐄.#HailState🐶

— Mississippi State Football (@HailStateFB) November 12, 2022

– Check out some of the storylines heading into tonight’s game:
📖 Tonight’s game program is 𝐋𝐈𝐕𝐄.#HailState🐶

• MSU is facing the No. 1 team in the AP Top 25 for the 12th time in its history. Eight of those meetings were against Alabama, two against Tennessee and one against LSU. State has never faced Georgia as the nation’s top team. 
• State upset No. 1 Alabama in 1980, winning 6-3. 
• MSU is now bowl eligible and will play in a postseason game for the 13th straight season, which is a program record. Entering the season, only eight schools had active streaks of at least 12 seasons and only Alabama, Georgia and Texas A&M joined MSU from the SEC. 
• Mike Leach will now have taken 19 of his 21 teams to bowl games, including eight straight seasons. 
• Saturday’s game marks the 62nd contest in which the Bulldogs have met a team sharing their name or mascot. There are 14 Bulldogs among NCAA Division I schools (FBS and FCS), and State has played five with a 36-24-1 all-time against fellow Bulldogs. 
• WR Austin Williams was named one of 12 finalists for the William V. Campbell Trophy. He is MSU’s fifth finalist and the only finalist this season with a perfect 4.0 GPA every year of his career. The last Bulldog finalist was Taveze Calhoun (2015), who now serves on staff as a graduate assistant. 
• In 2022, MSU is outscoring opponents 76-14 in the first quarter. The Bulldogs are 13-4 when scoring first under Mike Leach. 
• MSU defeated Auburn in overtime on Nov. 5. It was the 11th overtime game in school history (6-5) and the Bulldogs’ first overtime win since defeating Ole Miss (17-10; 1OT) on Nov. 28, 2013. MSU has won four of its last five overtime games. 
• State’s kickoff return unit leads the nation, averaging 29.0 yards per return. WR Lideatrick Griffin leads the nation in yards per kick return (33.2), and his career average (33.8) is tops among active FBS players. 
• WR Lideatrick Griffin returned his second career kickoff for a touchdown (92 yards) against Auburn (Nov. 5). That return tied him with Leon Berry (2009-10) and Kevin Prentiss (1997-98) for the MSU career record. 
• Griffin finished the game against the Tigers with 144 yards on three kick returns, giving him five career games with 100-plus kick return yards, which is also tied for an MSU career record (since 1979). 
• QB Will Rogers broke a pair of Dak Prescott’s (2012-15) MSU career records against Auburn (Nov. 5). He threw his 71st touchdown and surpassed Prescott’s 9,376 passing yards. Rogers now boasts 73 touchdowns and 9,627 yards passing. 
• Rogers has thrown for 300-plus yards and at least three touchdowns in 15 of his 31 career games, which is tied for 14th in the FBS since 2000.  
• RB Jo’quavious Marks has caught a pass in 32 consecutive games, which is the second-longest active streak in the SEC and tied for No. 14 nationally. He has at least one reception in every game of his collegiate career. The MSU school record is 35 games set by Fred Ross (2013-16). 
• Mike Leach and Mason Miller‘s offensive lines since 2018 lead the nation in lowest tackles for loss percentage allowed (6.8 percent) and are fifth in sacks percentage allowed (3.7 percent). 
• Five State receivers have caught at least 30 balls. Georgia and Texas A&M are the only other SEC schools with more than two. 
• WRs Austin Williams (78) and Jaden Walley (76) are the SEC’s active career leaders in first-down receptions. 
• Of the Bulldogs’ 210 first downs this year, 137 have come through the air, which is tied for fourth in the FBS. 
• WR Rara Thomas turned in his second career multi-touchdown game against Auburn (Nov. 5). He has matched his total from last season (5) and now has 10 career receiving scores. 
• MSU is leading all Power 5 teams in yards after catch (1,704) after leading the nation in 2021. 
• WR Caleb Ducking’s eight receiving touchdowns are tied for second in the SEC and tied for 10th in the FBS. 
• Four current Bulldogs are now among the top 10 in MSU career history for total receptions: RB Jo’quavious Marks (2nd, 179), WR Austin Williams (6th, 140), RB Dillon Johnson (8th, 137) and WR Jaden Walley (10th, 128). 
• The Bulldogs have a 90.2 special teams grade from PFF, which ranks third in the FBS. 
• The Bulldogs have collected at least one takeaway in 26 of 33 games under defensive coordinator Zach Arnett with 49 total takeaways in that span.  
• CB Emmanuel Forbes leads the nation with five interceptions and is second with 11 total passes defended. He boasts the No. 4 coverage grade (84.7) in the conference per PFF, and his 83.3 overall defensive grade ranks eighth. 
• LBs Nathaniel Watson and Jett Johnson lead MSU in tackles with 78 stops this season, which is third in the SEC. 
• Watson now has seven career double-digit tackle games, which is tied for ninth-most by a Bulldog since 1988. Johnson boasts six career games with 10 or more tackles, which ranks 12th. 
• LB Tyrus Wheat is tied for fifth in the SEC with 5.0 sacks and now has 17.5 career sacks, which is ninth in MSU history. His 0.56 career sacks per game mark ranks 13th among active players. 
• Since their freshman year in 2020, RBs Jo’quavious Marks and Dillon Johnson are the only active SEC players with more than 1,000 career yards after catch. 
• Under Mike Leach, the Bulldogs are 13-0 when scoring at least 30 points and 13-4 when scoring first. 

11.13.22
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By Gabriel Olawale
Wave making top music producer, Adenola Adesegun Gabriel, Popularly known as Eskeez has revealed that he will soon launch his music production academy.
Eskeez, a top producer in Nigeria music industry, who presently is producer of talented rapper, Olamide Adedeji aka Badoo.
He said he is bent on laying down a good legacy for the upcoming once and those who have pure passion for music production, which is the main reason he is set on launching his music production academy.
In his words, “I’m planning to release an EP with many artistes all over the world and lunch my academy soon”.
Going down memory lane on his career, Eskeez started his sojourn into the music industry at tender age and delve into music production, which has made him popular and been in the industry over a decade ago.
Legendary ID Cabasa introduced him to the world of music production.
He noted that he has produced many songs for top musicians that include; Rock by Olamide, OMO by reminisce ft Olamide, sometimes remix by T.I blaze, Change by fireboy, She knows by Harry song ft Olamide and fireboy to mention but few.
Speaking further, Eskeez said all songs produced by him are hits songs but Rock by Olamide is my best job ever.
He said that gradually the Music industry is evolving as producers are now singing, which has made it more interesting.
“We all have our different abilities and talents some can produce and also a good writer but can’t sing, some can produce and sing, so it depends on the abilities and grace and there is no law that says a producer can’t be an artiste, it’s a matter of choice.
He, however, advised upcoming artiste not to compete with who they should learn from, rather, they should work more on themselves in terms of writing and performance.

RELATED NEWS

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When you think of artificial intelligence (or AI), do you think of sci-fi spaceships trying to kill Dave, weird photos generated by Dall-E that make your uncanny valley itch, or do you think about magic?
Well, Blackmagic Design announced a new update to DaVinci Resolve 18, which has several new features, including, most notably, new artificial intelligence-based tools that can isolate and level out recorded dialogue.
There are also new vertical video formats for social media content that will end up on TikTok, Snapchat, and Instagram. So, is this going to put sound mixers out of a job?

The DaVinci Resolve 18.1 update includes new tools to the Fairlight Audio Tab, which enabled voice isolation track FX to the DaVinci Neural Engine. This new feature will allow editors to separate voice and dialogue while eliminating ambient noise, such as loud background elements or aircraft sounds. The tools promise to reduce the need to either re-record dialogue in voiceover or reshoot a scene while on location and will likely be a godsend for documentarians and news organizations shooting interviews out in the wild. 
Moreover, Fairlight will also gain grid support so that editors can create a grid of edits positioned to be more easily cut by timecode or musical temp. This will make the process of cutting on the beat for music videos and montages to be easier for faster turnaround.

Meanwhile, Resolve gets several new social media-centric video formats.

The update adds support for vertical resolutions such as 1080×1920, as well as square aspect ratios to make it faster to set up a timeline and produce social media-style videos. Additionally, users will be able to create their own custom thumbnails and channels for uploading videos to YouTube.
Content collaborations will now be able to lock a timeline to prevent two separate users from selecting the same timeline. Multiple editors can now work on different timelines within the same bin simultaneously.

Over on the Fusion tab, users can get an expansion of the Magic Mask tool, enabling it to detect animals, vehicles, people, and objects and then track their movement in a shot. This will allow editors to create clean traveling mattes and add effects or backgrounds.

There is also a keyword and category search of Fusion’s 200-plus effects tools and filtering the list to find the proper effect without knowing the exact name. 
Users will also be able to use the Resolve FX DustBuster in the editing timeline.

As for housekeeping fixes, Blackmagic has improved importing of video files when using the ATEM Mini ISO, by attaching audio to video clips. The speed editor has been improved, and there’s now the ability to override the subtitle capture properties individually.

Finally, when editing Dolby Vision 5.1 projects, editors can adjust the brightness levels of HDR video, optimizing clips for either cinema or television broadcasts. The resolution can also be optimized for Windows or Linux to see fonts for titles more easily.

As always, updates to Resolve are free. The DaVinci Resolve 18.1 update is now available from the Blackmagic Design Support Website.
However, that’s not what piqued our interest. While the update is a nice addition to an already sprawling editing suite, the inclusion of AI is a really interesting change of pace.

With AI-generated imagery causing quite a stir in the arts community, we’re seeing the technology have a huge impact, both big and small. If this audio feature in Resolve works well enough, this will open a ton of doors for creatives on a time crunch or on a budget.
I know more than a few student filmmakers who would give an arm and a leg for this kind of audio support. But will it work better than a dedicated sound mixer? That remains to be seen. 
Let us know your thoughts!     
Check out weekly specials, deals, and rebates: Pro Video Gear, Pro Audio Gear, Lighting
it really works like magic. But it’s full of bugs. A wonderful new tool by the way. I am looking ahead of development and debugging.
November 14, 2022 at 6:35AM
Subscribe to No Film School and get a FREE high-resolution PDF of How to Write a Screenplay, For signing up, you’ll get the 100-page eBook, plus the weekly No Film School newsletter. Subscribe to receive the free PDF!

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Photo By Staff Sgt. John Carkeet IV | Words to Restore Honor: Master Sgt. Kisha S. White, military equal opportunity…… read more read more
Photo By Staff Sgt. John Carkeet IV | Words to Restore Honor: Master Sgt. Kisha S. White, military equal opportunity advisor, 75th Innovation Command, U.S. Army Reserve, addresses more than 800 veterans, families, volunteers, and special guests during the closing ceremony of the Wall That Heals – Chambers County exhibit Oct. 30, 2022, in Anahuac, Texas. White, a 29-year Army veteran, was invited by the Vietnam War Memorial Fund to serve as keynote speaker for this event that attracted more than 4,500 visitors over the course of four days. White recognized the 58,281 men and women who made the ultimate sacrifice in Vietnam while thanking veterans from that war for their courage and dedication despite the negative reception many received upon their return to the U.S. (photo courtesy of Wall That Heals – Chambers County)  see less | View Image Page
ANAHUAC, Texas – When Master Sgt. Kisha S. White, the 75th Innovation Command’s Military Equal Opportunity Advisor, heard the Wall that Heals would be on display near Houston, she jumped at the chance to volunteer.

White, a native of Yazoo City, Mississippi, was the keynote speaker at the closing ceremonies of the Wall that Heals-Chambers County, Oct. 30, one of the last stops out of the 29 communities selected this year by the Vietnam War Memorial Fund.

The Wall that Heals, which finished its 27th season Nov. 10, is a traveling exhibition that includes a three-quarter scale replica of the Vietnam Veterans Memorial in Washington, D.C. At 350 feet long, and with its largest panel 7.5 feet high, this synthetic granite structure bears the names of the 58,281 men and women who made the ultimate sacrifice in Vietnam.

“Their future was cut short, their hopes and dreams along with it,” White said to an audience of more than 800 veterans, families and volunteers. “And the families of those who didn’t return – whose names are etched on the Wall – experienced the painful loss of a loved one without the collective support of their nation … I encourage everyone here to join us in righting the wrong of honoring our heroes who stand with us today and the ones on the wall who made the ultimate sacrifice.”

White, who in her civilian role is a Special Project Manager with Harris County in Texas, has been Active Duty and the Army Reserve 29 years. Though she had spoken to larger audiences before, White said she volunteered to speak at the closing ceremonies to not only “get out of my comfort zone, but to pay tribute to those who served and sacrificed before her.”

Loretta Emmons, the co-chair for the Wall that Heals-Chambers County, formed the organization in August 2021 with the sole purpose of bringing the exhibit to Anahuac. It took Emmons and her committee 15 months to retrieve the exhibit, but only one day – Oct. 26 – for her and 40 fellow volunteer to erect it.

An estimated 4,500 people toured the wall in the days it was up in Anahuac, including about 900 students, Emmons said.

“This is a big commitment, and it was my first time doing a project of this size and scope, but we had a great committee and hundreds of volunteers. Everybody had a job, and they all did it,” Emmons said.

Emmons recalled bittersweet displays of grief and solitude as veterans and relatives looked and touched the names of lost friends and loved ones.

“[Some] veterans would stencil names of friends and comrades they lost. One veteran was clearly distraught he could not remember all the names of the friends who died on the same day and who are immortalized on the same panel,” Emmons said.

Between these poignant moments, Emmons and White remarked on one rewarding aspect: veterans having the chance to bond with other veterans, of all components, eras, and experiences.

“It was clear they felt appreciated, and you could see that they needed that. It was sad how they were treated after Vietnam. But this whole week was special: the Vietnam War Memorial Fund completed a 20-year project in August 2022 [the Wall of Faces], where there is at least one photo of every person listed on the wall,” Emmons said.

A local Congressman handed out about 800 pins to the Vietnam veterans, some of whom came as far away as Louisiana, who were present at the closing ceremony, or to a family member or friend in their stead. White’s 17-year-old daughter received a pin on behalf of her grandfather.

During her speech, White mentioned the 75th Innovation Command’s role in moving the Army into the future by honoring the past.

“It is important to know where we come from. It is OK to change and adapt; in fact, it is what we are doing at the 75th Innovation Command. We are built upon institutions of solid traditions and merits of those who are still here or no longer here. It is up to us to continue this great tradition of service, while the Army continues to adapt as a warfighting organization,” White said.

Before the closing ceremonies, White took a closer look at the panel. As she waited her turn alongside hundreds of attendees, White said she realized she stood amongst living family members, friends and Vietnam veterans themselves, who were having semi-private moments as they discovered specific names on the wall.

“It made the intangible, tangible,” White said. “These are not just random names on the wall; these are people who had lives, who made an impact, who had people who love and miss them. Their legacy should not ever be forgotten, and I am very grateful for the opportunity to share my support in every way I can.”
This work, More Than Mere Names: 75th Innovation Command Master Sergeant restores honor to Vietnam War Veterans at Wall That Heals, by LTC Elizabeth Behring and SSG John Carkeet IV, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
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From Charity Nwakaudu, Abuja
Nigerian rapper, Nanle, has released the official music video for his buzzing single, “On a Base to Score.”
The rap single was produced by Dr. Tim who has worked closely with Nigerian rappers, M.I Abaga and Skales.
The scintillating video shot on locations in Istanbul, Turkey, was directed by famous Iranian cinematographer, Mojtaba Mantreh.
In the video, he goes from waving the Beşiktaş flag (a Turkish sports club) in front of the Vodafone Park to partying with pallbearers.
Speaking about the influence and concept behind the song, Nanle said, “The song was inspired by me and my friends’ life journey; from being regular broke college kids to having some success in life.”
“The song’s title comes from a secondary school slang I and a childhood friend had. The video is dedicated to my late friend, Walshak Ngok, who was killed” he added.
Born on the 2nd of December 1994 in Jos, Nanle started his music career in 2013, freestyling at Nicosia nightclubs in North Cyprus, before foraying into beat-making in 2015.
Having grounded himself in music production, in 2016, he collaborated with Sigzerz on his “Greatness Remix” extended play.
Prior to the release of his 2022 drill-infused single, “On a Base to Score,” Nanle released a freestyle cover titled “The Prophecy” over JAY-Z and Kanye West’s “Gotta Have It” beat in 2021.
He cites MI Abaga, Reminisce, Nas, JAY-Z, and Lil Wayne as his biggest rap influences.
Nanle has a master’s degree in Economics and a passion for waste management & recycling, infrastructure building, tech, and poverty eradication.
Sun News Online Team

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From Okey Sampson, Umuahia Abia State chapter of All Progressives Congress (APC) has said Chief Ikechi Emenike…

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Scientific Reports volume 12, Article number: 19360 (2022) Cite this article
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As the challenges of food insecurity and population explosion become more pressing, there is a dire need to revamp the existing breeding and animal management systems. This can be achieved by the introduction of technology for efficiency and the improvement of the genetic merit of animals. A fundamental requirement for animal breeding is the availability of accurate and reliable pedigreed data and tools facilitating sophisticated computations. Keeping this in view, Smart Sheep Breeder (SSB) was developed using the waterfall methodology and multiple programming languages. It is a multi-use online artificial intelligence (AI) based and internet of things (IoT) compatible decision support system (DSS). It is capable of automatic performance recording, farm data management, data mining, biometrical analysis, e-governance, and decision-making in sheep farms. A centralized database was also developed capable of ranking sheep across multiple farms based on genetic merit and effective dissemination of germplasm. The system in India is available as a web-based tool and android application which facilitates performance recording and generates customized reports on various aspects of sheep production. SSB uses artificial intelligence and biometrical genetic algorithms to calculate breeding values, and inbreeding coefficients, construct selection indices and generate pedigree, and history sheets as well as more than 40 types of custom-tailored animal and farm reports and graphs. The algorithms used were validated using on farms using farm data and also by comparison with established methods and software. Smart Sheep Breeder could thus prove to be indispensable for the present farming systems which could be used by sheep farm managers and breeders across India.
The sheep husbandry sector is an important livelihood source for a significant percentage of people in India especially landless and marginalized farmers. There is an incessant demand for sheep and sheep products, be it in terms of mutton or wool. Despite this, the sector has been unable to reach its true potential and most animals are of poor genetic merit therefore the overall productivity of each farm is low. This is true even in parts of the country where there is huge scope for improving sheep husbandry. For example, Jammu, and Kashmir, a Union Territory in India has the 6th highest population of sheep and yet the genetic merit of the animals is reported to be declining over the years^1,2,3,4,5.
The sluggish growth and development may be attributed to the lack of proper data recording, both at the farm and field level, and the low dissemination of modern technologies for storage, management, and analysis of farm data. This would otherwise have enabled farm managers to quickly comprehend the status of the farm and discover lacunas in managemental practices. Also, due to the lack of proper breeding tools and a failure to connect with sheep breeders for performance evaluation of their animals, sheep farm managers still rely more on their perception than on scientific methods of selection and breeding. This limits the scope for open nucleus breeding schemes (ONBS) for continuous genetic upliftment of the farms and farm flocks. As a result, the rate of genetic growth is slow and elite animals often end up in slaughterhouses and their genetic potential remains unutilized.
The adoption of digital technologies could turn the scenario around. The fourth industrial revolution has transformed the animal husbandry sector of developed countries and taking leaves out of the success stories like Sheep Genetics Australia⁶, could uplift the animal husbandry sector in India as well. There is a dire need for the development of decision support and data recording systems custom tailored for the specific needs of Indian farms which could potentially help in eliminating uncertainties, increasing profits, and improving the genetic merit as well as the welfare status of farm animals. The Information Network for Animal Productivity and Health (INAPH) for cattle in India is one such endeavor⁷.
However, no such program is currently in place for the complete management of sheep throughout the country. This is especially true for breeding tools. Scientific selection of animals is very cumbersome using conventional methodologies and because of the complexity involved, many farm managers either do not know how to compute it or do not possess enough computational power in their systems to do so. Due to this, the genetic potential of animals is largely unexplored, farm management is cumbersome and labor-intensive. All this results in fewer returns to the farmers. Isolated efforts for bringing digital technology into this sector could be traced in literature. A farm management information system for goats⁸ and other toolkits⁹ have been developed in India, but none provide comprehensive decision support. Such tools also do not assist in the scientific selection of animals on pure genetic merit.
Therefore, the present research was undertaken for the development of a multi-use online decision support system (DSS). This would (1) enable performance recording in sheep, (2) automate statistical estimation, (3) generate customized reports on various aspects of sheep production, (4) support efficient e-governance, and (5) help in the selection of superior animals. (5) Ranking animals on genetic merit through estimated breeding values for the effective selection of animals is yet another critical aspect of this tool. All this is critical for efficient farm management and sheep breeding.
It was hypothesized that farm data collection, analysis, and interpretation could be automated for the overall benefit and welfare of the animals, farms, and farm managers. The hypothesis that the entire process of breeding value estimation and ranking of animals based on genetic merit could be automated for identifying superior animals on the farms was also tested. The other questions that were identified were whether such e-services would be useful to the stakeholders.
The software development methodology used for the design and development of the present DSS was the waterfall model. The waterfall model is a linear and sequential approach, and the following stages of development marked the development of this tool:
Planning and requirement analysis Identification of the requirements in animal farms was done by surveying at Mountain Research Station for Sheep and Goat (MRCSG), SKUAST-K, and other organized government sheep farms of J&K, India.
Design The design of the tool was created based on the requirements of the farms and entity relationship models (ER diagrams) and data flow diagrams (DFD) were constructed and reviewed based on various parameters and the best DFD (Fig. 1) was selected for the development of the tool.
Development and deployment The development, testing, and integration of software was done primarily on a Windows operating system and tested on Ubuntu operating system using the following programming languages:
HTML and CSS, JavaScript, and jQuery were used for frontend development and for creating e-forms which are discussed in the next section.
JAVA was used for developing the mobile application.
PHP, R, Python, MySQL, phpMyAdmin, and Django were used for developing more complex scripts involving biometrical algorithms discussed in detail in the later sections. Many libraries were utilized for building the tools: These include MCMCglmm, Pedigree, MasterBayes, MASS and GeneticsPed, DBI and RMySQL, proto, gsubfn, nlm, cronR were used for building the DSS^{10,11,12,13,14,15,16,17,18,19}.
The system was hosted on a VPS or Virtual Private Server on Ubuntu 17.10 x64 operating system, and the android application was hosted on Google Play Store.
IoT Integration: The application programming interface (APIs) for the DSS was developed so that it could be integrated with IoT-enabled devices and tools and with android applications. Raspberry Pi microcontroller was used along with RFID tags, readers, and antennae for building the automatic weight recording system. The customization of an automated system for automatic animal identification, counting of animals, and automatic data capture of weight records was outsourced.
Testing and validation Both alpha and beta tests on the web-based tool were performed. System tests helped to validate the fully developed system to ensure it meets all requirements and functions accurately²⁰. Alpha testing was performed by the development team to validate the tool by comparison with standard methods^21,22. Testing was also done using data from 3 sheep breeds from four farms using real-time data as well as retrospective data. The retrospective data from 1969 to 2016 was collected from MRCSG, Shuhama for the Corriedale breed was collected. Data for Rambouillet was collected from Government Sheep Breeding Farm (GSBF), Reasi from 1998 to 2007. For Kashmir Merino, it was collected from GSBF, Kralpathri from 1997 to 2016, and from GSBF, Goabal from 2013 to 2016. The data were also used for the development and validation of the deep learning model.
Data flow diagram level.
Beta testing was also done by the officers/farm managers of the Sheep Husbandry Departments of Jammu and Kashmir who were given training about this tool. Their feedback was used for bug fixes, DSS evaluation as well as for evaluating the usefulness of the tool. Results were also compared with known software like Wombat²³.
To allow the end-user to input farm data into the DSS, e-forms were created both in the web-based as well as an android application to allow the end-user to add or edit all details about new animal records, body weights, body measurements, wool (yield and quality), treatment, mating/breeding, vaccination/dosing, castration, and disposal for their subsequent analysis and mining were written using PHP, R, Python, and Java. Data retrieval from the MySQL database was done using MySQL queries which were used for the creation of scripts for several types of comprehensive farm reports on all aspects of farm management.
The decision support system was created in such a way that the breeder could be provided with tools to scientifically select sheep, requiring no prior knowledge of animal breeding. Scripts were, therefore, created for real-time data analysis and estimate generation. These mainly included the following.
For the estimation of heritability (Eq. (1)), the Nested ANOVA methodology was used where full sibs are nested within half-sibs and
where, σ²A = additive genetic variance and σ²p = phenotypic variance. The sire component of variance equals 4σ²s/σ²p, dam component equals 4σ²d/σ²p and sire + dam components equals 2(σ²_s + σ²_d)/σ²_p.
Automated scripts for heritability were also created using generalized linear mixed models. For the traits considered under the model, sex and year were taken as fixed effects. The animal effect, sire effect, and dam effects were taken as random to account for the possible bias caused by these effects. The effect of the farm was included under the condition of the availability of data from more than one farm. The code was kept flexible enough to include analysis breed-wise as well. This methodology was incorporated into the DSS, and scripts were created in such a way that the heritability estimated using this methodology could be used as a variable for the estimation of breeding values of all live animals on the farm in real-time.
Script for the automatic estimation of breeding values was written based on individual selection²⁶. The breeding values were estimated using Eq. (2).
where P_m = population means, P_i = phenotypic value of the individual, h² = heritability. The model in the matrix and mixed model solutions for BLUP are given in Eq. (3)
where, Y = selected trait, b = fixed vector for different non-genetic factors assumed to influence the traits, u = random vector for breeding values of sires to be predicted, e = random error, X, Z = incidence matrices, λ = (4-h²)/h², h² = heritability, A = numerator relationship matrix.
The DSS was developed to include selection indices for multiple user-defined traits. The selection index was constructed as a weighted sum of BLUP-EBV of selection²⁷. The selection criterion, is, therefore, an index of known phenotypes or EBV, constructed so that the expected value of the index is equal to H. Selection index scripts were created using the formula given in Eq. (4).
where I = index value, EBV = estimated breeding values for the breeding goal traits, n = number of traits, and v_i = (economic) weighting factors in the breeding goal. The code was written in such a way that the EBVs could be obtained from the estimation done using BLUP in the form of variables and was not kept as user input.
Scripts for relative economic values of different traits were written based on prices of different commodities (meat and wool) prevailing in the market and were estimated as per Ganai²⁸. Economic values of body weight at different ages were calculated as given in Eq. (5).
The economic value for fleece weight was calculated as given in Eq. (6):
Scripts for economic values of fiber diameter and staple length were written. This required the use of simple regression for both traits to calculate the regression of price per kg of wool per unit of fiber diameter and staple length. Since the price changes as per the market conditions, scripts were written such that the values as input by the user could be used to calculate the regression coefficients and thereafter the relative economic values for wool quality traits as given in Eq. (7)
‘a’ was calculated using the formula given in Eq. (8):
where, y = dependent variable (price), x = independent variable (staple length and fibre diameter), a = regression coefficient, b = constant, (overline{y} = {text{mean}};{text{of}};y,;overline{x} = {text{mean}};{text{of}};x).
Scripts were written in R for the automatic calculations of inbreeding coefficients for individuals based on the pedigree data retrieved from the database. The formula for the inbreeding coefficient is given in Eq. (9)
where FX equals the inbreeding coefficient of X individual, n is the number of segregations between sire and dam in a path emanating from a common ancestor, FA is the inbreeding coefficient of the common ancestor. Inbreeding was estimated using the pedigree package in R.
The script for the display of pedigree trees is written in PHP. Scripts for the history sheets were written to generate comprehensive information about the production and reproduction of the animal as well as its progeny.
Deep artificial neural networks (ANN) were used for developing a model for the prediction of breeding values. Estimated breeding values were used as labels for training and evaluating the neural network. The Django framework was used for building the framework for the AI module, which was deployed using TensorFlow Serving^29,30. A variable number of features were used for training the network to arrive at the optimal model. The number of neurons, hidden layers, optimum learning rate, activation function, optimizer settings, etc. were determined heuristically. The data were normalized and cleaned before training.
A farm survey of organized sheep farms indicated that most of the data recording on farms was still based on paper records which were not consolidated, and negligible digitization had taken place so far. Centralized databases for data management were not present which led to complete data loss on one farm during a fire one. Breeding decisions were mostly based on intuition rather than scientific procedures and inferences considering all data at the farm for any date were not drawn. A mechanism for connecting farms with scientists also didn’t exist. Complete handy records for individual animals were not maintained and decisions related to sale/transfer/disposal/breeding were reported to be often based only on the most recent records of the animal and pedigree was not taken into consideration.
Smart Sheep Breeder—an artificial intelligence-driven fully functional, multi-use DSS for performance recording, farm data management, breeding, ranking of animals on genetic merit, and decision-making in sheep farms was developed (http://www.agbskuastk.org/smartsheepbreeder). An android application, “Smart Sheep Breeder” was also developed for the facilitation of data input and was hosted on Google Play. The potential of SSB is represented in Figs. 2 and 3.
Smart Sheep Breeder and its potential.
Smart Sheep Breeder for ONBS and data flow.
The system is copyright protected in India (No: SW-13653/2020) and a patent for the same is also published (No: 202011035476). The tool has also been adopted into Jammu and Kashmir State livestock breeding policy operational plan, 2019³¹.
Personalized homepages for the website were also developed for redirection to various sections of the DSS. A log-in and registration system was also created.
The present DSS was created to support the management of the content of different portals of the DSS so that customized content could be displayed according to user type which is given in Fig. 4. Administrators can view and analyze reports generated from all registered farms/users under their specific jurisdiction. The user types provided by our system are based on a hierarchy depending on the role of the person at the farm. The types of users include a super admin who can control all farms under his jurisdiction and has access to all data. Officials under him have access to the farm data of a lesser number of farms. Individual farmers can only access details about their farms.
Framework used for the creation of user roles.
The user may also view all reports generated for only his farm to ensure privacy. More than 40 types of reports and graphs are generated by the system automatically on any date (current or previous) for all breeds registered within the system. Screenshots of some reports generated are given in Annexure 1. These include reports regarding the following.
Farm Inventories This portal includes reports about total sheep (breed-wise), total ewes (breed-wise), total rams (breed-wise).
Sheep Inventories This portal includes various reports about ewes’ inventory, rams’ inventory, breedable ewes’ inventory, breedable rams’ inventory, and wether inventory. These inventories include lists of all animals that are/were present on the farm on any date including all relevant details about them like age, parturition history, etc.
Lambings and abortions This portal has been created to include extensive reports about lambings and abortions, abortion inventory, lambing inventory, and all relevant details thereof.
Production reports This portal includes reports about body weights (breed-wise), body weight inventory, and body measurements at various ages on any date.
Wool quality This portal includes reports about wool production inventory including the number of clips and other details about the quality and quantity of wool from each animal.
Health This portal includes reports about the disease, vaccination and deworming, disease prognosis, and the drugs used as well.
Selection and breeding This portal includes reports about (individual breeding values, BLUP breeding values, inbreeding coefficients, selection index values, and an artificial intelligence-based module. The selection indices and breeding values can be calculated for multiple traits as per the requirements of the farm. These include both meat production traits and wool quality and quantity.
History This portal includes reports about pedigree reports and comprehensive history sheets of individual animals including their production, performance, pedigree as well as progeny.
Disposal This portal includes reports about total disposals (breed-wise), disposed of animals’ inventory, and animal death inventory. These include all details about the death, disposal, or transfer of animals to other farms.
Graphical analysis This portal includes graphical reports displaying farm status or animal status and their trend over the years.
The entire system was successfully integrated with a centralized relational mega database (MySQL) to consolidate all data. This would be useful in big data mining and ranking all animals across farms based on pure genetic merit (Fig. 2) as the number of farms associated with this tool increases.
The model developed for the prediction of breeding value quickly and in real-time had a testing correlation of 82.48. Figure 5 presents the correlation between true and predicted values from the test dataset of the ANN algorithm. This algorithm was deployed using the Django framework using Python. The testing mean-absolute-error, mean-squared-error, and root-mean-squared error values were 0.0762, 0.017, and 0.130, respectively. The module was deployed to automatically evaluate the genetic merit of all sheep on the farm at any date.
Correlation between true and predicted values for the AI algorithm.
The total number of data points (rows) in the dataset after data cleaning and outlier removal was 2500. The total features used to train the final model were 5. Among others, the weight at 12 months and dam weight had the highest feature scores. The final model consisted of 4 layers with 10 neurons per layer with Tanh as the activation function. A learning rate of 0.001 with the Adam optimizer gave the best results. The model was run for 500 epochs with a batch size of 10 and a validation split of 20%.
The system was successfully integrated with a customized IoT, and RFID-enabled weighing system (IDTECH Solutions) for automatic animal identification, weight recording, animal monitoring, and counting of all RFID-tagged animals. The machine was installed, tested, and validated at SKUAST-Kashmir. All animals bearing RFID tags on their ears can be automatically captured by this system. The in and out antennae can record the animal entry and exit on the farm thus counting the animals and identifying them. The weighing bridge captures the timestamp, animal id, and weight which is recorded over the internet into the centralized database in real time. Additionally, Smart Sheep Breeder can be connected over the internet to any number of IoT-based data-gathering systems through the developed APIs. The APIs so created are for data recording of biometrical data about the flock.
The results of heritability auto-generated by our system were validated using a standard example as per Cameron²¹. The book results were 0.38, and the results obtained by our system: were 0.37. The validation results of BLUP breeding values are given in Table 1. Validation of heritability using Wombat²³ is given in Table 2.
All 16 Government sheep breeding farms of J&K were registered for sensitization as well as beta testing of the tool. The feedback of the farm managers/officers of sheep husbandry departments indicated that 100% of the respondents were satisfied and agreed upon the usefulness of the tool in their work (Fig. 6) and that the developed tool was the need of the hour (Table 3). Since the tool is capable of farm data collection, analysis, interpretation, breeding value estimation, and ranking of animals based on genetic merit automatically and was found useful by the stakeholders, the hypothesis was successfully tested.
Response by users regarding the utility of the tool.
Efficient farm management, good scientific research, and effective selection are possible only if the data are easily accessible, accurate, and gathered routinely. The upkeep of paper records is not only cumbersome and difficult to maintain but is also hard to replicate and requires a lot of physical space. The lack of proper digitized farm records has hindered farm development as well as the creation of future-oriented breeding policies. Also, the absence of a centralized cloud-based database and the unavailability of duplicate records leads to the possibility of data loss due to factors like pests, theft, loss, fire, floods, etc. which have happened in some instances in the past. Progress in the farm operation cannot be determined from year to year without keeping an inventory and deriving rapid inferences from paper records is impractical but a digital inventory is flexible, efficient, rapid, and accurate³². A web-based DSS catering to most aspects of sheep farm data management would help in the creation of a system for the safe storage, analysis, retrieval, and effective use of data.
It is almost impossible to draw real-time, on-spot inferences from manual data. This especially hinders breeding decisions that require procedures that are computationally expensive and require vast amounts of data. Having to manually enter massive amounts of data into the system before analysis consumes a considerable amount of a researcher’s time and energy³³. As a result, research is not only delayed but the quality of the actual research is compromised. Therefore, selection on farms in India is still intuition based and the genetic progress is very low. The benefits in terms of saving time by efficient data handling have also been stressed by Lawson et al.³⁴.
E-linking of the University farm with other sheep farms would be necessary for ONBS which would generally increase the genetic merit of animals across farms³⁵. Web-based farm management information systems facilitate internet-based collaborative research by connecting geographically dispersed farms with experts or customizing end-user data for analysis or presentation³⁶.
As also suggested by Fountas et al.³⁷ agriculture has entered a new era in which the purpose of a DSS is to meet the increased demands, reduce production costs, and increase the overall productivity of the farm³⁸. Government farm managers and officers of the Sheep Husbandry Department had felt the need for this tool and their complete agreement upon sensitization in its utility enforced the hypothesis of this research. The key to success is access to timely information and elaborate decision-making. Decision-making is an important aspect of farm management as well as e-governance. Similar tools for dairy cattle have been developed⁸. The most popular one among them is INAPH, launched countrywide by the Government of India. Commercially available superior quality tools for sheep farm management were found to be scanty and inadequate. Additionally, they are complex and difficult to use³⁹ and are not applicable to farm practices and present systems of data collection on Indian farms. Adoption of such systems would force such farms to alter some of their processes to fully utilize the product thus adding to the problem rather than subtracting from it⁴⁰. This would also reduce adoption rates substantially. SSB solves this issue by being custom tailored and specifically designed for challenges faced by farmers in India.
Additionally, the available data management software capable of estimating genetic parameters for ranking animals according to their genetic merit is not easily available and those that are, do not assist in making breeding-related decisions. This necessitated the need for the development of a custom-tailored and multi-dimensional DSS for catering to the needs of the sheep farms. Economic, as well as scientific progress, could be ensured by adopting the present tool because it is simple to use, easy to understand, and cheap. Also, the present tool was developed with a user-friendly interface for sheep farms. Automated data processing would also facilitate decision-making in real-time, futuristic, and effective policy planning for breeding by administrators, and scientific research on the farm and allow the integration of expert knowledge and farming preferences for the benefit of both. Managemental strategies could be improved using this tool through proper interpretations of the trend/status of the farms. Smart Sheep Breeder is a step toward precision animal farming which has also been reported to increase efficiency, reduced labor and improve overall animal well-being⁴¹.
With the University as a stakeholder, farmers would generally be more comfortable with sharing data than with large companies that may repurpose the data for corporate interests. This is also a primary concern of India’s digital agriculture mission.
The success of animal farming in developed countries may mainly be attributed to the incorporation of specific DSS and breeding tools. Sheep Genetics Australia, the National Genetic Information and evaluation services for the meat and wool sector, delivered as LAMBPLAN, MERINOSELECT hosts a database of about 6.5 million animals and more than 1000 flocks in Australia and overseas.
Roles assigned to specific users ensure that relevant data is served to the users as per their role and ensure privacy for farmers. For e-governance purposes i.e., for the remote monitoring of all farms under his jurisdiction, an administrator needs to have access to data across all farms to get a general overview of all farms. He/she could thus remotely monitor all farms under the jurisdiction, visualize the farming trends in real-time and be able to take effective data-backed decisions. All this must be achieved without compromising the accuracy of the records from other farms thereby maintaining the privacy and hassle-free use of the web-based tool.
The most important function of a DSS is to handle and benefit from enormous data volumes and convert raw data into useful information³⁹. These would give the farm manager an understanding of the farm situation and the administrator to take timely critical decisions related to all aspects of farm management. Farm reports serve as an aid to managerial control during production. A producer can keep track of events such as whether activities are going according to plan, the total strength of the farm in terms of animals according to their sex and age, when animals were vaccinated, dipped, given any medicine, or castrated, which breed on the farm is performing better and which breed is not and production from animals both in terms of quality and quantity may be effectively monitored. Inferences drawn from disposal reports may give an early indication of any potential problems at the farm e.g., epidemic, managemental errors, etc. An analysis of reports related to breeding may help the breeder to find out expected dates of parturition, help in removing sterile/infertile animals, and make use of superior quality rams for breeding. History sheets of individual animals provide all information about that animal which helps the breeder to draw inferences and make decisions regarding breeding/culling/sale of the animal.
A breeder may also trace the pedigree of animals and serve as a tool for the selection of breeding animals and refrain from mating animals that are closely related to each other. A sound breeding program can only be developed by understanding which pedigree to use based on the information collected about each ancestor.
The tool was validated by both alpha and beta testing. The similarity of the results obtained by the DSS with book values and standard tools proves its accuracy. The retrospective data was used so that the tool could be validated quickly. Since the tool was developed to eventually be used on real-world farms, actual farm data, both real-time as well as retrospective was used to validate the tool. The results produced by the system could thus be compared with true data and they were found to be accurate. E.g., The lambing rate, animal parities, disposal rates, and farming trends were found to be 100% accurate. Results that could not be checked against farm records e.g., breeding values estimations were compared with standard methodologies or standard software like Wombat. The alpha testing and the feedback obtained through beta testing results validated the initial hypothesis.
The use of AI and various biometrical techniques for the ranking of animals through estimated breeding values and selection indices shall enable farm managers to retain only animals of high genetic merit on the farm and cull animals of low genetic merit and thus ensuring that genetic merit is maintained at the farm (Fig. 3).
The estimation of breeding values using the mixed model method for BLUP provides a powerful and flexible tool. Artificial Intelligence is also becoming a significant change in the agricultural sector. Deep learning models have also been used for sheep behavior recognition⁴². Lopes et al.⁴³ also showed that the ANNs performed better than other ML techniques for the prediction of genetic merit. AI is also finding applications in wide-ranging areas of research^44,45 including systems for providing decision support⁴⁶.
A higher correlation of 0.89 than that obtained by the present study, using ANN was reported for breeding values prediction by Bangar et al.⁴⁷ in the Harnali sheep breed. Ghotbaldini et al.⁴⁸ for the prediction of breeding values in Kermani sheep also used two ANN models and reported correlation coefficients of 0.703 and 0.864. Our results are also consistent with the reports of other scientists in this area^49,50. Also, a low learning rate was found to give better results than a higher one by Brownlee⁵¹ because high learning rates may cause unstable training and the neural network may never actually converge. IoT-based tools are rapidly becoming a norm in the world⁵². This is true also for the animal sciences. Cheng et al.⁴² also suggest the use of sensors, and machine learning, monitoring for monitoring animals and farms through automation which is necessary as farming is becoming more and more intensive. The AI model used would enable the farmers to know the genetic superiority of their animals at their fingertips and therefore make the right breeding decisions.
There are no major ethical issues involved with the adoption of this tool as no animal interventions are performed by this. Additionally, the IoT compatibility of the system is to ensure that animal handling is minimized and that the drudgery of data entry is eliminated. Most farms in J&K today are based on manual weighing systems which are labor-intensive and involve a tedious ledger-based record-keeping system. The development of a technology-driven system for farm management would promote both farm and animal welfare (as the animals do not need to be lifted by a rope to be hung from the spring balance for weighing anymore). The ultimate goal of developing this system is to minimize handling animals which would reduce animal distress and as farming becomes resourceful, more animals could be raised by a single farmer without additional labor.
A major threat to validity is the use of spurious data. This has been prevented for the weight records by the use of IoT-based data entry operations. In addition, the tool uses various checks like limiting entries to format types or setting upper and lower limits for value entries to ensure that outlier data is not entered into the system. This could be further improved by using AI for data validation as well. The threat of low adoption has been mitigated to a large extent by ensuring the system is simple to use and easily accessible. Also, the steady penetration of the internet and mobile phones to remote corners of the Country would help in the popularization of the tool. This is also in line with the Digital India mission of the Govt. of India.
BLUP has become the worldwide standard for the prediction of breeding values of farm animals. This is because, this method minimizes the variances of errors, the correlation between predictors and predictions are higher, the probability of selecting the better of any pair of candidates is maximized and the expected mean of the breeding values of selected individuals is maximized. The DSS also generates inbreeding coefficients like a tool reported by⁵³, which may help the farm manager to monitor inbreeding on the farm and make necessary decisions regarding the import of new animals into the farm or culling of inbred animals whenever required.
The generated report on selection index values of all live animals on the farm for the DSS shall serve as a breeding tool to make the selection on more than one trait at once. Since in practice, the index value is a weighted BLUP-EBV of selection candidates, therefore, the complexity of b = P–1Gv was avoided. The weighted sum of EBV and (economic) breeding goal weights for the construction of an index are also used in the SelAction tool, LAMBPLAN, and WOOLPLAN as reported by²⁷. A single selection index may not serve the interest of all farms because each producer may have different feed costs and sales markets so an index specifically for that flock would be better than a one-size-fits-all index.
Smart Sheep Breeder is an AI-based, and IoT-compatible decision support system catering to most aspects of sheep farm data management. It can consolidate data across all farms into a centralized database for ranking animals on pure genetic merit and dissemination of elite germplasm. This would help in the genetic improvement of sheep, animal welfare, and farmer welfare as well as improving the farmer’s income by increasing the efficiency of the farm.
The datasets used for the validation of the tool are not publicly available due to restrictions on the public availability of the data but are available from the corresponding author on reasonable request.
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India Innovation Growth Program-2019.
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
Ambreen Hamadani & Nazir A. Ganai
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N.A.G. and A.H. conceived the experiment. A.H. developed the tool and wrote the manuscript. N.A.G. proofread the manuscript.
Correspondence to Ambreen Hamadani.
The authors declare no competing interests.
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Hamadani, A., Ganai, N.A. Development of a multi-use decision support system for scientific management and breeding of sheep. Sci Rep 12, 19360 (2022). https://doi.org/10.1038/s41598-022-24091-y
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Received: 20 May 2022
Accepted: 09 November 2022
Published: 12 November 2022
DOI: https://doi.org/10.1038/s41598-022-24091-y
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Peter Moody has parted ways with the owners of a horse he trained after an expletive-laden recording he had sent them, which criticised the jockey who rode their horse on the weekend, was shared.
Moody had sent a private audio update to the owners of Amalgamation following the Dundeel gelding’s heavy defeat – by eight lengths – in Saturday’s $175,000 Cranbourne Classic, in which he blamed the jockey for failing to ride to instructions.
Trainer Peter Moody has apologised to the jockey who was the subject of an audio message he sent.Credit:Pat Scala
But the link to the audio spread like wildfire via social media on Sunday, leading to Moody apologise to the jockey in a tweet. He also posted that “the client” would no longer be associated with his stable.
“In view of a audio report from myself to clients in regards to [the] jockey … I wish to publicly apologise to [him] for this unprofessional and unacceptable behaviour toward him (sic),” Moody, who trained Black Caviar, tweeted on Sunday night.
“I have also privately done this. Unlike the client … [he] will continue to be part of MR [Moody Racing].”
The three-year-old horse has since been transferred from Moody’s Pakenham stable to the Melbourne Cup-winning Cranbourne combination of Ciaron Maher and David Eustace.
Amalgamation has had just three starts and finished no better than eighth, with Moody telling owners in the post-race audio update that he was yet to discover the horse’s full potential due to the way it had been ridden.
“I’m trying to ascertain what ability this horse has got, and I’m just learning nothing from a ride like that,” Moody said.
“He was just given no chance to show up in the race at all. I wanted him in a flowing position where he could learn something, and we could learn something, and he just continually dragged him back and then when they quickened … he just left him totally flat-footed.”
In the audio, Moody also accused the jockey of being out of form in other rides for the stable.
“His last few horses he’s ridden for me, he’s just ridden them disgraceful, I could’ve ridden them better myself,” he said.
The jockey was also beaten on Black Caviar’s daughter Invincible Caviar at Moonee Valley on Friday night, trained by Moody.
The four-year-old mare, who had won her two prior starts and was a heavy favourite in the race, became fractious at the gates and was vetted before the jump and cleared to run.
But she weakened quickly over the last 150 metres and ran last, with the jockey telling stewards he felt something went amiss with the horse before he eased her down.
According to the stewards report, “a post-race veterinary examination revealed the mare to be lame in the left hind leg”, which explained the poor performance. The mare will require a veterinary clearance before she can race again.
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Taunton Brewhouse, and touring
Tangle Theatre’s dynamic five-actor staging features a dazzling debut from Daniel Rock
Founded in 2009, Tangle Theatre Company’s aim is to champion African and Caribbean artistry by performing classic texts in an African “township” style, with the emphasis on strong storytelling, musical accompaniment and simplicity of presentation. Here, aluminium stepladders are clumped together on an otherwise bare stage; actors move into the space, filling it with movement and song (Colin Falconer’s design; music by Zimbabwean composer John Pfumojena).
Company founder and director Anna Coombs presents Shakespeare’s multi-peopled history play with an ensemble of just five multi-skilled actors. This stripping back effectively and affectively tightens the focus on the conflict between the titular “hero” and his challenger, Bolingbroke, bringing into stark relief the contrasts between the two men. Elsewhere, though, something is lost by the eradication of Shakespeare’s powerful women’s roles. I especially missed Queen Isabella in the gardening scene, engagingly played as this was by Courtney Winston (also Gaunt and Northumberland) and by the ever-excellent Sibusiso Mamba (also Mowbray and York). The gender imbalance is only partially compensated by having Aumerle, Richard’s vacillating cousin, played by Lebogang Fisher (hers a fine performance, in all senses).
As Richard, Daniel Rock conveys with intelligent sensitivity the intricate range of the king’s feelings, from petulance and intransigence in power to introspection and philosophising once deposed. This is a tremendous professional debut from Rock (building, no doubt, on his experience of playing the king while training at Lamda); the poetry of the lines is alive in him. Raheim Menzies imbues Bolingbroke with physical and psychical presence, radiating implacable strength against Richard’s fluid changeability (occasionally undermined by a less-than-assured delivery of the lines). Coombs, however, does not allow this clash of opposites to conclude simplistically; ultimately, even though weak, “unking’d” and imprisoned, Richard sounds depths of humanity that make his usurper appear, by contrast, shallow and insecure.
If this Richard II is typical of Tangle’s work, I look forward to seeing more. That said, the performance I attended had a not-quite-finished feel. Some elements were solidly in place – Pfumojena’s music, threaded through the acts, was always terrific, as were the fights directed by Jonathan Waller. Other features were off-kilter. In particular, the lighting design, by Hansjörg Schmidt, had not taken into account the problems of achieving its demanding precisions given short get-in times and the wide range of spaces to which it has to be adapted. Although its powerful beams slicing architecturally through darkness felt dramatically and conceptually appropriate, they did not always work as intended: too often, actors were lost to view. Early-day weaknesses aside, I found much to admire in this co-production with Southampton’s Mast Mayflower Studios, which looks set to grow in strength and depth along each stage of its tour.
Touring until 27 November

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