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Cryptocurrency has been touted as the key to building Black wealth. But critics are skeptical – CNN

CNN

Samson Williams was working in the mortgage lending industry in 2014 when a colleague convinced him to invest in cryptocurrency.

At the time, Williams didnt know much about cryptocurrency but decided to invest a little more than $200 to see where it would get him.

No one knew what it was, Williams said. But it was going to change the world. So I was drinking a lot of crypto Kool-Aid.

Cryptocurrency decentralized digital money such as bitcoin and ethereum would gain momentum among Black investors in the years to come. As the hype grew, Williams cashed out in 2020 and bought his mom a house. He had learned enough about cryptocurrency to know it was time to get out.

I was done gambling, said Williams, now an adjunct law professor at the University of New Hampshire.

Despite his earnings, Williams worries that experienced investors are promoting cryptocurrency to Black Americans as the key to financial inclusion and closing the wealth gap without fully explaining the risks.

A study released earlier this year by Charles Schwab and Ariel Investments found that Black Americans were more likely than White Americans to invest in cryptocurrency. The study highlights data that shows Black investors are less likely than White investors to believe cryptocurrency is a risky investment, despite the extreme volatility of cryptocurrency, Black people, the study says, are also more likely to make investment decisions based on social media or other less credible sources.

The disparity leaves Black investors disproportionately vulnerable when the cryptocurrency market collapses. Critics argue that Black Americans lag behind their White counterparts in financial literacy which they say is key to making smart investment decisions with cryptocurrency. Still, social media influencers, Black celebrities, athletes and conference organizers continue efforts to lure more Black investors into cryptocurrency, touting their own financial gains.

Cryptocurrencies dont solve living wages, they dont address unemployment, Williams said. Black folks are so eager and so thirsty for financial inclusion and economic opportunity that by default we are more ripe for being exploited.

But experienced investors say cryptocurrency is appealing to Black people for many reasons. Among them are the low barriers to entry because there are no credit checks or income requirements; the equal opportunity for success regardless of race or generational wealth; and a lot of merchants accept cryptocurrency as a form of payment.

Successful Black investors say its important to educate potential investors on how cryptocurrency works so they can make smart decisions on how to invest their money.

Cryptocurrency is essentially money that is bought, sold and exchanged online. Unlike the U.S. dollar, cryptocurrency is not regulated by the government but instead operates in a decentralized system called a blockchain.

The goal is for cryptocurrency investors is to buy it at a low price, wait for the value to rise and then cash out their profit. When the demand for cryptocurrency increases, the value goes up. If values drop, or the market crashes, investors stand to lose money.

There are many different types of cryptocurrency. Bitcoin, which has been heavily promoted by celebrities and athletes, is one of the most popular because of its low transaction fees and ease of use.

Cryptocurrency has also gained popularity in the Black community because of success stories.

For example, Terrance Leonard invested $2,000 in 2019 and by 2021 his cryptocurrency investments grew to $1 million. The year prior, he was able to buy a house in Washington D.C. when he sold some of his cryptocurrency to pay the earnest money and make a down payment. He hopes to eventually sell more cryptocurrency and pay off the mortgage.

Leonard said becoming a millionaire does not happen overnight and it requires dedication and a willingness to study the market.

Its going to be scary and youll be nervous because theres money at play and lot of times people are investing more money than they can afford to lose, Leonard sad. But you have to dive in. Treat it like you treat any of your other interests.

Some researchers, however, are skeptical of cryptocurrency.

Algernon Austin, director of race and economic justice for the Center for Economic and Policy Research, called cryptocurrency a get rich quick scheme.

Austin said investing in cryptocurrency can be harmful for people who have no general experience with investing because the market is so volatile.

Austin said low income Black families should not gamble their money without receiving guidance from a financial adviser.

Most African Americans got into cryptocurrency as the values were high so that means people are losing money, Austin said. And we are talking about a low wealth population losing wealth, that is not a good thing. It is the most risky investment that you can make.

But cryptocurrency strategists and successful investors insist that investing will help Black people get ahead financially.

According to the Federal Reserve, the median net worth of a White family is $188,200 compared to $24,100 for a Black family.

Charlene Fadirepo, a Bitcoin adviser, said Black Americans have long been shut out of fair access to wealth due to systemic racism. Fadirepo pointed to homeownership which is lower in the Black community because banks have historically denied mortgages to Black families.

Fadirepo said cryptocurrency offers a leveled playing field for all investors.

This is our shot at a fair financial ecosystem, Fadirepo said.

Fadirepo, who plans to speak at a conference next month that educates attendees about cryptocurrency and connects Black investors, said she encourages potential investors to only invest what they can afford after paying for basic necessities. Part of that requires creating a budget of your additional funds, she said.

This is about responsible and smart investing, Fadirepo said. If you are not in a position to invest, if you have significant debt, if you have credit challenges, maybe your first step is to focus on that.

Leonard said many Black Americans feel empowered by cryptocurrency because they have an equal shot at wealth.

Leonard said there are fewer systemic barriers such as credit checks to obtaining crypto loans like there are with bank loans. Investors can use their crypto assets as collateral in exchange for liquid funds. As long as the investors maintain the collateral ratio and pay off the loans, they get their cryptocurrency back at the end of the term.

It opens the door to equality, Leonard said. There are no longstanding cryptocurrency institutions setting the rules.

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What Are Forks and How Do They Affect Cryptocurrency Prices? – GISuser.com

A decentralized alternative to cash was created in the form of Bitcoin, a digital currency. Ripple and Monero are two examples of specialized currencies that have emerged. Many of these new coins were created due to a crypto fork and not by accident. Simply changing the blockchains protocol, which is the softwares way of determining if the transaction is genuine, constitutes forking. A fork in the blockchain can be nearly anything that diverges from the original code.

When Do Forks Occur?

Forks happen when a cryptocurrencys user base or developers decide that a fundamental change is needed, even if its due to a massive hack like Ethereums or an internal debate within the community like Bitcoin and Bitcoin Cash.

Whats the Impact of a Fork?

When a cryptocurrency is forked, it can have a significant impact. Although controversial in the past, they are often caused by significant price variations.

What Is a Forks Purpose?

Soft forks and hard forks are the two most common types of forks.

When a hard fork occurs in a cryptocurrency, a new coin is formed with new rules and a different value resulting from the fork. When a hard fork occurs, there are two outcomes: one chain is operational as its coin, and the other chain disappears after a certain period. Both miners and developers must accept the new software protocol for a hard fork to take place.

Forks Effect on a Crypto Community

A communitys experience with forks can be disruptive. One of the most common reasons traders and miners break apart is because they have conflicting visions for the future of cryptocurrencies. Cryptocurrency will be treated like other forms of income in India, such as interest on savings bank accounts and fixed deposit payments. Crypto and NFT profits will be subject to Indias 30 % flat tax on Cryptocurrency. Due to the new Cryptocurrency being created, the existing Cryptocurrency asset is taxed.

Bitcoin Forks to Bitcoin Cash

After a series of increasingly bitter disputes within the community, for example, the split between Bitcoin and Bitcoin Cash occurred. Much hate still exists between the two communities, particularly over Bitcoin Cashs claims to embody Satoshis vision for Bitcoin.

What Are the Effects of a Hard Fork?

In addition to causing uncertainty, hard forks can significantly influence Cryptocurrency. For a real-world example, consider the Bitcoin Cash hard fork. As a result, all holders of the parent cryptocurrency will receive the same amount of forked-off coins.

Impact of Large Traders

There are whales in the market who can make a significant impact. The term whale refers to a major corporation that has a large number of Bitcoins. It is enough to have a significant impact on the markets trajectory. In addition, several significant individual investors, known as dolphins, have enough money to exert some impact on the market.

Conclusion

Many forks of bitcoin have been created in the past few years. However, it is expected that Cryptocurrency will continue to have soft and hard forks in the future, which will continue to develop and challenge the cryptocurrency community.

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Viral TikTok reminds parents to avoid posting certain back-to-school pics for safety concerns – Motherly Inc.

It wouldnt be back-to-school season without a flurry of back-to-school photos with smiling children holding chalkboard signs. But before you post those adorable photos of your kids to social media, there are a few things to keep in mind.A viral TikTok is reminding parents to be careful about what they include in those cute chalkboard signs.

If it just says first day, thats not terrible, TikToker Cathy Pedrayes, a cybersecurity professional,says in the video. But photos that include the childs favorite activities, teachers name, names on backpacks, house numbers, license plates, and school name can create safety risks,Pedrayes told TODAY.

Related:Whats the harm in posting about our kids on social media?

Pedrayes' warning is echoed by law enforcement officers and cybersecurity experts as well. According to The Child Crime Prevention and Safety Center, there are anestimated 500,000 online child predators active each day.Predators can use this information as way to launch an online relationship with children. And personal information can pose a cybersecurity risk for data mining by potential hackers.

"[I]t is not your childs precious face thats the problem, its what is behind them,"Joe Miller, Chief of Police at the Palos Park Police Department, told NBC Chicago. "Things like your house number, what your house looks like, your street name, your car, license plate number or even where you child catches the school bus could be clues those unsavory characters use against you."

Among the things experts say NOT to include in photos you post on social media:

"We all know parents only do things that are best for their kids. They dont post something to harm the child, its the other people that grab that data. The other part of the data mining that goes on and a lot of people like to take that information and sell it," cybersecurity contractor Stanton Greenawalt told WPDE, an ABC affiliate.

These warnings follow in the heels of theWren Eleanor controversy, which shined a light on the risks of sharing photos of our kids on social media. Wren Eleanor is a toddler with her own TikTok account containing videos of the toddler doing toddler things, like wearing cute clothes and eating snacks. Boasting a whopping 17 million followers, Wren Eleanor is also an influencer account, with the tiny tot and her mom showing off clothing gifted to them by fashion retailers.

Parents began sharing concerns over the account when they noticed certain videos and photos of Wren Eleanor had been saved tens of thousands of times by complete strangers and that comments by grown men were often sexual and predatory in nature. Concerns prompted parents to launch a #SaveWren movement and motivated many parents to take their childrens photos off social media or make their accounts private.

Related: Social media is redefining the new motherhoodbut is that a good thing?

It's also important to respect your childs wishes if they dont want photos shared on social media, even if your account is private and there isnt any risky information included in the photo.And if your child is old enough to be on social media, talk to them about the risks as well.

Bottom line: Celebrate going back to school with cute photos, but be careful. Pause a minute before sharing, and consider whether to share the photo on social media at all. If you do, make sure it doesnt include personal information about your child or your family.

"People in general don't realize how much they overshare on social media," Pedrayes toldTODAY Parents.

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Bitcoin Miners Take in Bear Rally Profits by Selling More Than 6000 BTC Since August 1 Bitcoin News – Bitcoin News

Bitcoins value against the U.S. dollar lost 7.3% during the last 24 hours after more than $600 million in value was removed from the $1.07 trillion crypto economy. Statistics show that a number of bitcoin miners capitulated over the last two weeks, selling 5,925 bitcoin worth millions, according to cryptoquant.com data.

Bitcoins U.S. dollar value slid from $23,593 per unit to $21,268 per coin at 8:30 a.m. (EST) on Friday morning. More than $600 million has been erased from the crypto economy during the last day as BTC lost 7.3% and ETH shed 7.4%. A number of other coins lost value against the U.S. dollar as well as BNB dipped by 5%, XRP slipped by 9%, and ADA lost 10.3% during the past 24 hours.

According to data stemming from cryptoquant.com shared by Ali Martinez bitcoin miners capitulated during the last 14 days. Bitcoin miners appear to have taken advantage of the recent upswing to book profits, Martinez said. Data shows that miners sold 5,925 BTC in the last two weeks, worth roughly $142 million.

Following Martinezs tweet, cryptoquant.com data shows more than 6,100 BTC have been sold since the first of August. The web portals Miners Position Index says bitcoin miners are moderately selling bitcoin. Using todays crypto market values, 6,100 BTC equates to $130.80 million, a much lower value than Martinezs quote price.

Miners took a break from selling BTC after a flurry of mined bitcoin was sold during the two months prior to August 1, 2022. A Blockware Intelligence Newsletter published on July 29 explained that the end of miner capitulation was near. According to the hash ribbon metric, Bitcoin is 52 days into a miner capitulation, the Blockware newsletter said. Blockwares report added:

The end of a miner capitulation historically marks a bear market bottom.

During the first two weeks of August, it seemed as though miner capitulation was over and BTC managed to tap $25,212 per unit on August 14. BTC has lost 14.58% since the August 14 high and its currently down 69% from the $69,044 per unit price recorded on November 10, 2021. This past week Bitcoins mining difficulty rose by 0.63% making it more difficult for miners to discover BTC blocks and with prices lower, mining bitcoin is less profitable today than it was five days ago.

Despite the difficulty rise, after coasting along under the 200 exahash per second (EH/s) zone at 182.40 EH/s the day prior on August 18, 2022, BTCs hashrate has skyrocketed to 267.40 EH/s. Thats a 24-hour increase of around 46.60% higher than the 182 EH/s recorded on Thursday afternoon (EST).

Using the current difficulty parameter, BTCs current market value and a cost of around $0.12 per kilowatt hour (kWh), a Bitmain Antminer S19 XP with 140 terahash per second (TH/s) can get an estimated $4.85 per day in profit. The Microbt Whatsminer M50S launched in July with 126 TH/s can get an estimated $2.74 per day in profit, according to current market statistics.

What do you think about miners selling 5,925 bitcoin during the last two weeks? Do you think miner capitulation is over or will continue? Let us know what you think about this subject in the comments section below.

Jamie Redman is the News Lead at Bitcoin.com News and a financial tech journalist living in Florida. Redman has been an active member of the cryptocurrency community since 2011. He has a passion for Bitcoin, open-source code, and decentralized applications. Since September 2015, Redman has written more than 5,700 articles for Bitcoin.com News about the disruptive protocols emerging today.

Image Credits: Shutterstock, Pixabay, Wiki Commons

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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The Exhibition is Afoot: Indiana University’s Lilly Library Hosts Sherlock Holmes Objects – LJ INFOdocket

From Indiana University Bloomington:

When a prominent collector of Sherlock Holmes memorabilia was asked to consider Indiana Universitys Lilly Library as a location for his latest exhibition, Sherlock Holmes in 221 Objects, the answer was elementary.

The Lilly Library already had a relationship with the collector, Glen Miranker, through a prior Holmes exhibition. The library has its own collection of Holmes artifacts, and it makes its various collections available to the public.

There are natural places for intellectual fervor and curiosity, the presence and respect and appreciation of the written intellectual history of man, Miranker said. Its institutions like IU. Its just a natural place.

[Clip]

The Lilly Library has a first edition of the first Holmes story, A Study in Scarlet, published in 1887; it is one of 23 known surviving copies. Also in its collection are a copy of the first appearance of Holmes in The Strand Magazine; the original, handwritten manuscript for The Adventure of the Red Circle; and first editions of other novels and story collections.

The library is the repository of the archives of the Baker Street Irregulars, also known as the BSI the first literary society to study and honor Holmes and the archives of the Mystery Writers of America, the association for professional crime writers in the U.S.

Also in the Lilly Librarys collection are examples of other Victorian and Edwardian detective characters, Victorian fiction and the London underworld.

Learn More, Read the Complete Post

Direct to Exhibition Web Site

Filed under: Archives and Special Collections, Libraries, News, Open Access

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area.He earned his MLIS degree from Wayne State University in Detroit.Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.

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Largest Ethereum miner, Ethermine, stops processing sanctioned transactions – CryptoSlate

The hope of a decentralized, open, free internet is in jeopardy right now. This is not hyperbole, FUD, or clickbait. Ethermine, the largest Ethereum mining pool, no longer produces blocks containing Tornado Cash transactions. This is likely due to OFAC sanctions and is an example of censorship at the protocol level.

Crypto analyst, Takens Theorem, discovered that Ethermine has stopped processing Tornado Cash transactions and presented the chart below. CryptoSlate reviewed on-chain data and confirmed that Ethermine had not produced a block that included a Tornado Cash transaction during the timeframe shown below.

We have to go back roughly ten days to find a block produced by Ethermine that includes a Tornado Cash transaction. Block 15306892 was created on August 9th and was mined by Ethermine. The block had a 10 ETH transaction processed through the Tornado Cash router.

A review of the most recent Tornado Cash Router transactions showed that it was dominated by Hiveon, P2Pool, 2Miners, and others.

Why does this matter? Recently, the U.S., via OFAC, sanctioned the use of Tornado Cash, making it illegal for any U.S. entity to interact with the protocol.

Following this sanction, Circle blacklisted USDC on the Ethereum network so that any holder who had interacted with Tornado Cash would no longer be able to interact with the smart contract. This move essentially froze all $USDC that had passed through Tornado Cash.

Next, DeFi protocols such as Aave, Uniswap, Balancer, and others introduced an API from TRM Labs, which disabled the front end of their dApps, essentially banning addresses sanctioned by OFAC.

Aave reportedly restored access to addresses that had been dusted with 0.1 ETH by a hacktivist attempting to highlight one of the critical issues with adhering to the sanctions. According to OFAC, any address that interacted with Tornado Cash was now under sanction from the U.S. Thus, when the hacktivist sent 0.1 ETH to several influential people in the crypto space, it showcased that the sanctions could easily be exploited.

While it is arguably good that Aave has restored access to those high-profile people who were targeted, the question remains, what will happen to users who are targeted by such an attack in future?

If I dont like my boss, so I send him 0.1 ETH through Tornado Cash, will he also now be banned from Aave? If so, how will Aave prove that his claim is legitimate? Banned users can still either fork the protocol or interact via CLI, but this is out of the reach of most users.

The choice by Ethermine to stop producing blocks that include Tornado Cash transactions is a step beyond any of the above. Selecting which transactions to process goes against the core principles of the Ethereum blockchain. The network is supposed to be open-source, free, decentralized, and inclusive.

While other miners are still processing the transactions at present, if others follow Ethermines lead, there is a possible world where Tornado Cash no longer has miners willing to process its transactions.

Vitalik Buterin was so outraged at the thought validators may comply with OFAC sanctions after The Merge that he declared any validators complying with the sanctions should have their ETH staked burned. He agreed with the sentiment that actions that do not include Tornado Cash transactions should be considered an attack on Ethereum and burn their stake via social consensus.

When discussing the possibility of proof-of-stake validators ignoring Tornado Cash transactions, Igor Mandrigin, CTO of web3 infrastructure company Gateway.fm, told CryptoSlate,

It is not impossible technically to not propose blocks with TC, ignore from the transaction pool but the fewer validators are under US regulations, the better ofc.

Within a day of the above conversation, we now see a real-world example of proof-of-work validators ignoring Tornado Cash blocks.

Ethermine is not a U.S.-based company and therefore does not fall under the jurisdiction of the OFAC sanctions. However, miners that use the Ethermine pool could be situated within the U.S. If Ethermine mines a block that includes a Tornado Cash transaction, it could be considered interacting with Tornado Cash, thereby breaking the sanctions.

In response to the news, Martin Koppelmann, Co-Founder of Gnosis, disagreed with a comment suggesting it does not matter.

Co-Founder of Paradigm, Matt Huang, recently reiterated the importance of the blockchain ecosystem to remain neutral and resist censorship.

Harsh Rajat, Founder of Ethereum Push Notification Service, shared similar concerns telling CryptoSlate,

Regulations to ban an open source tech is similar to bringing charges against ford for inventing cars. Its saddening to see that projects that are good are forced to comply with regulations owing to fear of getting targetted or because the regulations are written in such a way. Though, even more tragic is the way someone did a knee jerk reaction and bought in laws that simply cant be applied to web3.

Regarding a solution, Rajat stated, simply put, we need to stop bad actors but not the inventions that help us progress forward.

No entity within the Ethereum ecosystem should be able to decide what is included in blocks and what is not. While the news is startling, it is not yet a crisis. No other mining pools appear to be following Ethermines lead, and Ethereum validators such as Coinbase have categorically stated they will not censor transactions after The Merge.

However, this is a dangerous road to be traveling along. This is not the direction toward a free and fair decentralized internet; it is several steps backward and potentially the path to an even darker future.

The Tornado Cash code itself does nothing illegal and is fully open-sourced. We do not imprison gun manufacturers when they are used against innocent people. The government does not assume blame when a criminal uses cash for an illegal transaction. By the same arguments, the code written by the Tornado Cash team is not responsible for those who launder money through the protocol.

Tornado Cash has legitimate uses and is a privacy tool at its core. In my opinion (Akiba), the authorities should investigate and trace how the money got to Tornado Cash and what it was used for after, as thats where the illegal activity can be found.

There is a possibility that it is merely a coincidence that no Tornado Cash transactions have been included in Ethermine blocks. However, given it produces around one-third of the networks hashrate, it is unlikely.

CryptoSlate reached out to Ethermine for comment but has received no response. A moderator on the Discord forum told CryptoSlate that Ethermine/BitFly is a registered GmbH so theyre beholden to Austrian laws, so the possibility exists that its a compliance move. I could not say for certain however and Ill defer to the admin team.

Original research and findings by Oluwapelumi Adejumo.

UPDATE: Headline revised to improve clarity.

Become a member of CryptoSlate Edge and access our exclusive Discord community, more exclusive content and analysis.

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Controlling the concrete manufacturing process increases the strength by 30% – Newswise

Newswise To increase the strength of concrete, researchers are coming up with new ways to reinforce - usually with metal structures or nanofibers. A RUDN University professor with colleagues from Iran discovered an easier way. Even from a conventional concrete mix, one can get a more durable material. The main point is to choose the right proportions and hardening conditions. The results are published in Buildings.

To make concrete more resistant to static and cyclic loads, it is supplemented with a "framework" - reinforcement or nanofibers. At the same time, it is still necessary to look for ways to strengthen concrete even without reinforcement. For example, it is necessary to repair old structures built of ordinary concrete. A RUDN professor with colleagues from Iran conducted a series of experiments and created an artificial neural network to calculate how to make concrete stronger without new ingredients.

Concrete is a composite material of small and large aggregates, which are bonded to each other with a cementing mortar and harden. To increase the static and cyclic strength of buildings, civil engineers use reinforced concrete. Large structures such as dams and multi-storey car parks are made of reinforced concrete. However, there are still old conventional concrete structures around the world that need to be refurbished. Therefore, finding practical and inexpensive ways to increase the strength of conventional concrete is still an important task. Most of the research is outdated. Only a few researchers use new methods, such as data mining, neural network algorithms, hybrid optimization methods, and machine learning to assess the strength of ordinary concrete, said Kazem Reza Kashyzadeh, Professor in the Department of Transport at RUDN University.

Engineers have calculated the optimal mixture parameters that make concrete as strong as possible without the use of additional elements. The strength is affected by the shape and size of the particles of the filler - crushed stone, gravel or sand - and the solidification temperature of the solution. The best shape of filler particles is rounded. Angular fractions, on the contrary, reduce strength. As the particle size increases, the strength increases. And the temperature at which the solution hardens is best kept at 10 . Thus, it is possible to achieve an increase in the strength of concrete by 30%.

For simulation, RUDN engineers created an artificial neural network using the so-called backpropagation method. To train the neural network, the researchers conducted a series of experiments with different concrete samples. Part of the experimental data was left to test the resulting model.

We have found that in conventional concrete, the appearance of the aggregates, their size and geometry, as well as the curing conditions, have a significant impact on strength. We investigated the relationship between these parameters experimentally and obtained the best conditions for obtaining durable concrete, said Kazem Reza Kashyzadeh, Professor in the Department of Transport at RUDN University.

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2022 Report on Hormones and Their Derivatives – World Trade, Markets and Competitors – ResearchAndMarkets.com – Business Wire

DUBLIN--(BUSINESS WIRE)--The "Hormones And Their Derivatives: World Trade, Markets And Competitors" report has been added to ResearchAndMarkets.com's offering.

The study provides an in-depth analysis of international trends at a product-specific level.

The study provides an historical and prospective analysis of world trade in the product of interest, with a focus on the major competitor countries and major international markets, segmented by price ranges.

The report aims to provide the user with a summary view of international trade in the chosen product/sector/industry by answering the following questions:

The analysis covers the following areas:

Market Size - The size of total international trade which provides information on the size of different markets

Medium-term Outlook - Forecasts on the possible evolution in the near future of the product's international trade

Relevant Markets - An analysis of the most relevant international markets, segmented by price bands. The focus provides basic information to understand which markets tend to pay a higher price, showing preference for quality

Relevant Competitors - Review of the major competitor countries that play a relevant role in the international supply of the product. The focus provides basic information to understand the competitive strategies implemented by main competitors and evaluate how successful they are

Information contained in the report is derived from the publisher's database , that was developed from the UN (db Comtrade), Eurostat (db Comext) and US Census Bureau (db UsaTrade) databases.

The annual information is the result of the following data mining techniques:

The forecasts are developed from annual historical data and from the latest publication of World Economic Outlook, published at least twice a year by the International Monetary Fund.

The international trade forecasts are the result of econometric models aimed at providing an estimate of the scenario of foreign trade flows and highlighting future threats and opportunities of the industry at an international level.

Key Topics Covered:

Product Description

World Trade Analysis

Markets Analysis:

Competitors Analysis:

For more information about this report visit https://www.researchandmarkets.com/r/xi64qx

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Horizon World by Meta, gets trolled heavily on social media – Techstory

Metaverse created by Meta gets trolled left, right and center

Horizon Worlds or Zuckerverse trolled left, right and center

Horizon Worlds is the ambitious project of the social media giant Meta, which they launched in Spain and France, progressing from their previous projects prevalent in the US, UK and Canada.

As soon as meta launched the Horizon Worlds, it fell prey in the hands of trollers and memers. Lets look at some of the most hilarious memes that came in:

metaverse graphics fit a little TOO well on old gpu boxes pic.twitter.com/19G0Az2Rck

Linus Tech Tips (@LinusTech) August 18, 2022

Looks great! pic.twitter.com/aFFcvLv4ES

james hennessy (@jrhennessy) August 16, 2022

Here, I fixed it for you now its def. worth $10 billion pic.twitter.com/6OWrMF4q2t

SMETTER. (@0xSmetter) August 17, 2022

Monopolistic Approach in Metaverse, a big failure

Ever since, Metaverse started gaining more popularity, Meta, has tried to monopolize the industry and keep the powers to itself. Recently, when one of the fitness companies, planned to make a fitness-oriented app in metaverse, Meta came in as a competition, firstly, building a similar app, and then went to the extent of buying the platform.

From Metaverses point of view, if the concept has to flourish and grow and reach billions of people, then it has to be decentralized and cannot be centralized. It is crucial for Meta to not centralize the metaverse and let the concept grow.

Metaverse is web3 while, Meta is anything but web3

Meta, is essentially a Web2 at its best! Social Media, Data Mining, Data Profits, No Privacy, Centralization are all the key factors that push meta into Web2 Technology. When we critically analyze, Metaverse is nothing like Meta, Metaverse is Web3 while, Meta if at all anything is Web2.

The concept of Metaverse gaining attraction

Credits: LeewayHertz

Metaverse is growing as every day passes by. The tech enabled, virtual reality is something, everyone wants to be a part of. Metaverse is actually much older than Facebook. The introduction of metaverse to the world happened in Snow Crash in the early 90s by Sci-Fi writer Neal Stephenson. In a sense, Metaverse is actually 50% bigger than Earth.

Writers views

I think the monopolistic approach that the Social Media giant is deploying is doing no good to both the company as well as metaverse. If the company has to grow, then it needs to come out of the possessive approach and think more practically about the industry.

________________________________________________________________________________________________________________

What do you think about Metas madness in regards to Metaverse? Share your thoughts in the comment section below. Also, if you like the content in this article, then please share it with your friends and family.

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Best Machine Learning Books to Read This Year [2022 List] – CIO Insight

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Machine learning (ML) books are a valuable resource for IT professionals looking to expand their ML skills or pursue a career in machine learning. In turn, this expertise helps organizations automate and optimize their processes and make data-driven decisions. Machine learning books can help ML engineers learn a new skill or brush up on old ones.

Beginners and seasoned experts alike can benefit from adding machine learning books to their reading lists, though the right book depends on the learners goals. Some books serve as an entry point to the world of machine learning, while others build on existing knowledge.

The books in this list are roughly ranked in order of difficultybeginners should avoid pursuing the books toward the end until theyve mastered the concepts introduced in the books at the top of the list.

Machine Learning for Absolute Beginners is an excellent introduction to the machine learning field of study. Its a clear and concise overview of the high-level concepts that drive machine learning, so its ideal for beginners. The e-book format has free downloadable resources, code exercises, and video tutorials to satisfy a variety of learning styles.

Readers will learn the basic ML libraries and other tools needed to build their first model. In addition, this book covers data scrubbing techniques, data preparation, regression analysis, clustering, and bias/variance. This book may be a bit too basic for readers who are interested in learning more about coding, deep learning, or other advanced skills.

As the name implies, The Hundred-Page Machine Learning Book provides a brief overview of machine learning and the mathematics involved. Its suitable for beginners, but some knowledge of probability, statistics, and applied mathematics will help readers get through the material faster.

The book covers a broad range of ML topics at a high level and focuses on the aspects of ML that are of significant practical value. These include:

Several reviewers said that the text explains complicated topics in a way that is easy for most readers to understand. It doesnt dive into any one topic too deeply, but it provides several practice exercises and links to other resources for further reading.

Introduction to Machine Learning with Python is a starting point for aspiring data scientists who want to learn about machine learning through Python frameworks. It doesnt require any prior knowledge of machine learning or Python, though familiarity with NumPy and matplotlib libraries will enhance the learning experience.

In this book, readers will gain a foundational understanding of machine learning concepts and the benefits and drawbacks of using standard ML algorithms. It also explains how all of the algorithms behind various Python libraries fit together in a way thats easy to understand for even the most novice learners.

Python Machine Learning by Example builds on existing machine learning knowledge for engineers who want to dive deeper into Python programming. Each chapter demonstrates the practical application of common Python ML skills through concrete examples. These skills include:

This book walks through each problem with a step-by-step guide for implementing the right Python technique. Readers should have prior knowledge of both machine learning and Python, and some reviewers recommended supplementing this guide with more theoretical reference materials for advanced comprehension.

Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow provides a practical introduction to machine learning with a focus on three Python frameworks. Readers will gain an understanding of numerous machine learning concepts and techniques, including linear regression, neural networks, and deep learning. Then, readers can apply what they learn to practical exercises throughout the book.

Though this book is marketed toward beginners, some reviewers said it requires a basic understanding of machine learning principles. With this in mind, it may be better suited for readers who want to refresh their existing knowledge through concrete examples.

Machine learning for Hackers is written for experienced programmers who want to maximize the impact of their data. The text builds on existing knowledge of the R programming language to create basic machine learning algorithms and analyze datasets.

Each chapter walks through a different machine learning challenge to illustrate various concepts. These include:

This book is best suited for intermediate learners who are fluent in R and want to learn more about the practical applications of machine learning code. Students looking to delve into machine learning theory should opt for a more advanced book like Deep Learning, Hands-on Machine Learning, or Mathematics for Machine Learning.

Pattern Recognition and Machine Learning is an excellent reference for understanding statistical methods in machine learning. It provides practical exercises to introduce the reader to comprehensive pattern recognition techniques.

The text is broken into chapters that cover the following concepts:

Readers should have a thorough understanding of linear algebra and multivariable calculus, so it may be too advanced for beginners. Familiarity with basic probability theory, decision theory, and information theory will make the material easier to understand as well.

Mathematics for Machine Learning teaches the fundamental mathematical concepts necessary for machine learning. These topics include:

Some reviewers said this book leans more into mathematical theorems than practical application, so its not recommended for those without prior experience in applied mathematics. However, its one of the few resources that bridge the gap between mathematics and machine learning, so its a worthwhile investment for intermediate learners.

For advanced learners, Deep Learning covers the mathematics and concepts that power deep learning, a subset of machine learning that makes human-like decisions. This book walks through deep learning computations, techniques, and research including:

There are about 30 pages that cover practical applications of deep learning like computer vision and natural language processing, but the majority of the book deals with the theory behind deep learning. With this in mind, readers should have a working knowledge of machine learning concepts before delving into this text.

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Best Machine Learning Books to Read This Year [2022 List] - CIO Insight

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