Microsoft is making it a lot easier to access Linux files in Windows 10 – PC Gamer

Contrary to what some people might think, Windows 10 and Linux are not sworn enemies. Sure, there is a big difference between proprietary and open source software, but for people who run both operating systems, Microsoft is adding a neat feature to Windows 10Linux file integration into File Explorer (see image above).

Microsoft is essentially building on its plan to jam a full Linux kernel in Windows 10, as it previously announced. Users have been able to access Linux files in Explorer since the May 2019 update (Windows 10 version 1903), but the feature being tested right now adds a Linux icon (Tux) in the left-hand navigation pane of Explorer if you have Windows Subsytem for Linux, or WSL, installed.

It's a subtle change, and also a welcome one. Previously, users would have to open up their Linux distro, make sure the current folder was in their Linux home directory, then type 'explorer.exe' to open a File Explorer window containing their Linux files.

In this new implementation, clicking on the Linux icon will bring up a view of the available Linux distros. When you click on one, it will place you in the Linux root file system for that particular distro. Easy-cheesy.

Microsoft rolled out the feature to its newest preview build (19603) for Windows Insiders who are subscribed to the Fast ring. Assuming all goes well, this should end up in the next big update to Windows 10 (20H1).

It's not clear when 20H1 will roll out, other than sometime in the first half of the year, barring a delay. Microsoft has committed to releasing two major feature updates to Windows 10 each year, in addition to the cumulative security updates that arrive on Patch Tuesdaythe second Tuesday of every month.

In addition to better Linux integration, the 20H1 release is expected to add support for third-party widgets to the Windows 10 Game Bar, starting with ones from Intel, Razer, and XSplit.

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Microsoft is making it a lot easier to access Linux files in Windows 10 - PC Gamer

How Will the Emergence of 5G Affect Federated Learning? – IoT For All

As development teams race to build outAI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitlyaccessing raw user data.

Conceived byGoogle in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Googles on-device machine learning approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was eitherdelivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.

Generally speaking, with federated learning, the AI algorithm is trained without ever recognizing any individual users specific data; in fact, the raw data never leaves the device itself. Only aggregated model updates are sent back. These model updates are thendecrypted upon delivery to the central server. Test versions of the updated model are then sent back to select devices, and after this process is repeated thousands of times, the AI algorithm is significantly improvedall while never jeopardizing user privacy.

This technology is expected to make waves in the healthcare sector. For example, federated learning is currently being explored by medical start-up Owkin. Seeking to leverage patient data from several healthcare organizations, Owkin uses federated learning to build AI algorithms with data from various hospitals. This can have far-reaching effects, especially as its invaluable that hospitals are able to share disease progression data with each other while preserving the integrity of patient data and adhering to HIPAA regulations. By no means is healthcare the only sector employing this technology; federated learning will be increasingly used by autonomous car companies, smart cities, drones, and fintech organizations. Several other federated learning start-ups are coming to market, includingSnips,S20.ai, andXnor.ai, which was recently acquired by Apple.

Seeing as these AI algorithms are worth a great deal of money, its expected that these models will be a lucrative target for hackers. Nefarious actors will attempt to perform man-in-the-middle attacks. However, as mentioned earlier, by adding noise and aggregating data from various devices and then encrypting this aggregate data, companies can make things difficult for hackers.

Perhaps more concerning are attacks that poison the model itself. A hacker could conceivably compromise the model through his or her own device, or by taking over another users device on the network. Ironically, because federated learning aggregates the data from different devices and sends the encrypted summaries back to the central server, hackers who enter via a backdoor are given a degree of cover. Because of this, it is difficult, if not impossible, to identify where anomalies are located.

Althoughon-device machine learning effectively trains algorithms without exposing raw user data, it does require a ton of local power and memory. Companies attempt to circumvent this by only training their AI algorithms on the edge when devices are idle, charging, or connected to Wi-Fi; however, this is a perpetual challenge.

As 5G expands across the globe, edge devices will no longer be limited by bandwidth and processing speed constraints.According to a recentNokia report, 4G base stations can support 100,000 devices per square kilometer; whereas, the forthcoming 5G stations will support up to 1 million devices in the same area.Withenhanced mobile broadband and low latency, 5G will provide energy efficiency, while facilitating device-to-device communication (D2D). In fact, it is predicted that 5G will usher in a 10-100x increase in bandwidth and a 5-10x decrease in latency.

When 5G becomes more prevalent, well experience faster networks, more endpoints, and a larger attack surface, which may attract an influx of DDoS attacks. Also, 5G comes with a slicing feature, which allows slices (virtual networks) to be easily created, modified, and deleted based on the needs of users.According to aresearch manuscript on the disruptive force of 5G, it remains to be seen whether this network slicing component will allay security concerns or bring a host of new problems.

To summarize, there are new concerns from both a privacy and a security perspective; however, the fact remains: 5G is ultimately a boon for federated learning.

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Its Time to Improve the Scientific Paper Review Process But How? – Synced

Head image courtesy Getty Images

The level-headed evaluation of submitted research by other experts in the field is what grants scientific journals and academic conferences their respected positions. Peer review determines which papers get published, and that in turn can determine which academic theories are promoted, which projects are funded, and which awards are won.

In recent years however peer review processes have come under fire especially from the machine learning community with complaints of long delays, inconsistent standards and unqualified reviewers.

A new paper proposes replacing peer review with a novel State-Of-the-Art Review (SOAR) system, a neoteric reviewing pipeline that serves as a plug-and-play replacement for peer review.

SOAR improves scaling, consistency and efficiency and can be easily implemented as a plugin to score papers and offer a direct read/dont read recommendation. The team explain that SOAR evaluates a papers efficacy and novelty by calculating the total occurrences in the manuscript of the terms state-of-the-art and novel.

If only a solution were that simple but yes, SOAR was an April Fools prank.

The paper was a product of SIGBOVIK 2020, a yearly satire event of the Association for Computational Heresy and Carnegie Mellon University that presents humorous fake research in computer science. Previous studies have included Denotational Semantics of Pidgin and Creole, Artificial Stupidity, Elbow Macaroni, Rasterized Love Triangles, and Operational Semantics of Chevy Tahoes.

Seriously though, since 1998 the volume of AI papers in peer-reviewed journals has grown by more than 300 percent, according to the AI Index 2019 Report. Meanwhile major AI conferences like NeurIPS, AAAI and CVPR are setting new paper submission records every year.

This has inevitably led to a shortage of qualified peer reviewers in the machine learning community. In a previous Synced story, CVPR 2019 and ICCV 2019 Area Chair Jia-Bin Huang introduced research that used deep learning to predict whether a paper should be accepted based solely on its visual appearance. He told Synced the idea of training a classifier to recognize good/bad papers has been around since 2010.

Huang knows that although his model achieves decent classification performance it is unlikely to ever be used in an actual conference. Such analysis and classification might however be helpful for junior authors when considering how to prepare for their paper submissions.

Turing awardee Yoshua Bengio meanwhile believes the fundamental problem with todays peer review process lies in a publish or perish paradigm that can sacrifice paper depth and quality in favour of speedy publication.

Bengio blogged on the topic earlier this year, proposing a rethink of the overall publication process in the field of machine learning, with reviewing being a crucial element to safeguard research culture amid the fields exponential growth in size.

Machine learning has almost completely switched to a conference publication model, Bengio wrote, and we go from one deadline to the next every two months. In the lead-up to conference submission deadlines, many papers are rushed and things are not checked properly. The race to get more papers out especially as first or co-first author can also be crushing and counterproductive. Bengio is strongly urging the community to take a step back, think deeply, verify things carefully, etc.

Bengio says he has been thinking of a potentially different publication model for ML, where papers are first submitted to a fast turnaround journal such as the Journal of Machine Learning Research for example, and then conference program committees select the papers they like from the list of accepted and reviewed (scored) papers.

Conferences have played a central role in ML, as they can speed up the research cycle, enable interactions between researchers, and generate a fast turnaround of ideas. And peer-reviewed journals have for decades been the backbone of the broader scientific research community. But with the growing popularity of preprint servers like arXiv and upcoming ML conferences going digital due to the COVID-19 pandemic, this may be the time to rethink, redesign and reboot the ML paper review and publication process.

Journalist: Yuan Yuan & Editor: Michael Sarazen

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Infragistics Adds Predictive Analytics, Machine Learning and More – Patch.com

Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal's newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big data connectors, and much more. These enhancements allow businesses to quickly analyze and gain insights from internal and external data to sharpen decision-making.

Some of these advanced functions include:

Outliers DetectionEasily detect points in your data that are anomalies and differ from much of the data set.

Time Series ForecastingReveal will make visual predictions based on historical data and trends, useful in applications such as sales and revenue forecasting, inventory management, and others.

Linear RegressionReveal finds the relationship between two variables and creates a line that approximates the data, letting you easily see historical or future trends.

"Our new enhancements touch on the hottest topics and market trends, helping business users take actions based on predictive data," says Casey McGuigan, Reveal Product Manager. "And because Reveal is easy to use, everyday users get very sophisticated capabilities in a powerfully simple platform."

Machine Learning and Predictive Analytics

Reveal's new machine learning feature identifies and visually displays predictions from user data to enable more educated business-decision making. Reveal reads data from Microsoft Azure and Google BigQuery ML Platforms to render outputs in beautiful visualizations.

R and Python Scripting

R and Python are the leading programming languages focused on data analytics. With Reveal support, users such as citizen data scientists can leverage their knowledge around R and Python directly in Reveal to create more powerful visualizations and data stories. They only need to paste a URL to their R or Python scripts in Reveal or paste their code into the Reveal script editor.

Big Data Access

With support for Azure SQL, Azure Synapse, Goggle Big Query, Salesforce, and AWS data connectors, Reveal pulls in millions of records. And it creates visualizations fastReveal's been tested with 100 million records in Azure Synapse and it loads in a snap.

Additional connectors include those for Google Analytics and Microsoft SQL Server Reporting Services (SSRS). While Google Analytics offers reports and graphics, Reveal combines data from many sources, letting users build mashup-type dashboards with beautiful visualizations that tell a compelling story.

New Themes Match App's Look and Feel

The latest Reveal version includes two new themes that work in light and dark mode. They are fully customizable to match an app's look and feel when embedding Reveal into an application and provide control over colors, fonts, shapes and more.

More Information

For in-depth information about Reveal's newest features, visit the Reveal blog, Newest Reveal FeaturesPredictive Analytics, Big Data and More.

About Infragistics

Over the past 30 years, Infragistics has become the world leader in providing user interface development tools and multi-platform enterprise software products and services to accelerate application design and development, including building business solutions for BI and dashboarding. More than two million developers use Infragistics enterprise-ready UX and UI toolkits to rapidly prototype and build high-performing applications for the cloud, web, Windows, iOS and Android devices. The company offers expert UX services and award-winning support from its locations in the U.S., U.K., Japan, India, Bulgaria and Uruguay.

Here are ways to observe Good Friday, Easter and Passover services from the safety of your home.

By Gus Saltonstall, Patch Staff

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Infragistics Adds Predictive Analytics, Machine Learning and More - Patch.com

University of Iowa Health Care debuts ‘virtual hospital’ for COVID-19 patients – The Gazette

IOWA CITY While the University of Iowa Hospitals and Clinics has ramped up its campus preparation for any potential surge in COVID-19 patients requiring hospitalization, most patients dont, prompting the facility to roll out a virtual hospital for those recovering at home.

About 80 percent of COVID-19 patients dont need to be hospitalized, and the new initiative provides them with direct daily care and support from a team of medical specialists.

Being diagnosed with COVID-19 is a pretty scary thing, but being able to navigate it with the help of a doctor or a nurse really gives our patients the support they need, Bradley Manning, clinical assistant professor of internal medicine and a hospitalist with UI Health Care, said in a statement.

He noted those patients are in self-quarantine, making their recovery particularly isolating and daunting even if thats the best place for them to be for their own safety and the safety of the general public and health care professionals.

But a Home Treatment Team provides support from nurses, physicians, pharmacists and other staff who use telemedicine to monitor and care for patients as they recover.

Its like the doctor is (visiting) you while you are in the comfort of your own home, Manning said.

A monitoring kit also is delivered to patients who are recovering at home. It contains a blood pressure cuff and pulse oximeter, which measures a patients blood oxygen level and heart rate.

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The kit also includes instructions for self-isolation and symptoms patients should be watching for. The patients then log their vital signs including temperature, blood pressure and oxygen levels and discuss any issues theyre managing with a health care provider via a daily telephone check-in.

The system, according to UI Health Care, allows its providers to monitor patient progress in real time to prevent disease complications and also gives them the ability to intervene quickly if a patient starts to worsen.

A patients family members also can ask questions or voice concerns during the daily calls.

These daily contacts with COVID-19 patients has afforded UI Health Care workers valuable insights and information about how the disease affects people including that a large number of those tracked by UIHC have experienced an unpleasant taste and fever.

Those, for some patients, are the only symptoms they experience in the early phases of the illness making it hard for patients to eat enough or drink enough, leading to dehydration. The daily reports of patient blood pressure, heart rate, and urine volume for example helps providers track hydration in real time and intervene.

Based on what we have seen in our patients, staying properly hydrated in the first few days of the illness really seems to be important to a patients ability to fight the disease and lower the risk of hospitalization, Manning said. The altered sense of taste is a really dramatic symptom and does make it very unpleasant to eat or drink. So, we really emphasize to patients the importance of staying hydrated.

To date, UIHC which administrators say is one of only a few hospitals using this approach to COVID-19 patient care has served 76 patients through its virtual hospital.

Of those, 35 have recovered, 38 are still being monitored and three have been transferred to the hospital for more intensive care.

The goal, according to Manning, is to help patients beat the disease without coming to the hospital keeping more of the hospitals critical care beds open.

We are encouraged by our preliminary results, Manning said, recommending other health care systems consider this as a model, so that we may all better care for our patients and improve outcomes during this pandemic.

In staying in touch with the areas COVID-19 patients, UIHC Vice President for Medical Affairs Brooks Jackson earlier this week said his campus is close to receiving approval to begin using plasma from recovered patients to help hospitalized COVID-19 patients.

The hope is any antibodies in the plasma would help patients recover faster.

Comments: (319) 339-3158; vanessa.miller@thegazette.com

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On 10th Anniversary of ‘Collateral Murder’ Release: The US Soldier Who Sought to Save Iraqi Children – Consortium News

Ten years ago today WikiLeaks Collateral Murder video was published, depicting a horrific scene on a Baghdad street in 2007. Here is a talk by the one U.S. soldier who sought to save young victims of an American massacre.

Soldier Reveals What Happened onBaghdad Street; WikiLeaks WebinarOn 10th Anniversary of Videos Release

Consortium News

Ethan McCord was a U.S. soldier on patrol in Baghdad in July 2007 when he came upon a scene he says hed never encountered. Lying dead on a street were inanimate objects that turned out to be dead civilians, slain in cold blood by a U.S. Apache helicopter still filming the carnage from above.

McCord found a child still alive in a civilian van the US soldiers had gleefully struck. She had a stomach wound and glass in her eyes. The soldier carried her away to seek help, as seen in the cockpit video that U.S. Army intelligence officer Bradley Manning would soon pass to WikiLeaks.It was published on April 5, 2010, alarming the Pentagon and putting WikiLeaks on the map.

Later on Sunday, register to view a webinar with Editor-in-Chief Kristinn Hrafnnson, scholar Nozomi Hayase and Col. Ann Wright on the release of Collateral Murder. Hrafnnson traveled to Baghdad to meet the two children that McCord saved. The link to the webinar is below.

Here is a 17-minute talk given by McCord to the United National Peace Conference, in Albany, NY over the weekend of July 23-25, 2010. It was produced by the United National Peace Conference Media Project, the Sanctuary for Independent Media and the Hudson Mohawk Independent Media Center. McCord puts the events in context, explaining that U.S. military killing of Iraqi civilians was routine. He also exposes the reaction of the command to his actions to save the life of an innocent girl.

Here is how to register for Sundays webinar.

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On 10th Anniversary of 'Collateral Murder' Release: The US Soldier Who Sought to Save Iraqi Children - Consortium News

Headlong and Century Films Partner With BBC Arts On UNPRECEDENTED: REAL TIME THEATRE FROM A STATE OF ISOLATION – Broadway World

BBC Arts has joined award-winning theatre company Headlong and BAFTA winning Century Films, as broadcast partner for Unprecedented: Real Time Theatre from a State of Isolation, a series of short, digital plays written and performed in isolation, which will be broadcast across the nation during lockdown as part of Culture in Quarantine.

Written by celebrated playwrights, performed by a cast of over fifty UK actors and curated by Headlong, Century Films and BBC Arts, Unprecedented is a series of short digital plays exploring our rapidly evolving world. The plays will respond to how our understanding and experiences of community, education, work, relationships, family, culture, climate and capitalism are evolving on an unprecedented scale. The series will ask how we got here and what the enduring legacy of this historic episode might be.

Directors working on the series include; Ned Bennett (Equus; An Octoroon; Yen), Deborah Bruce (Pride and Prejudice), Tinuke Craig (Vassa; The Colour Purple), Debbie Hannan (The Panopticon; Pah-La), Jeremy Herrin (This House; People Places and Things), Brian Hill (Bella and The Boys; Falling Apart), Ola Ince (Poet in da Corner; Appropriate: The Convert), Nathaniel Martello-White (Cla'am), Caitlin McLeod (Returning To Haifa), Blanche McIntyre (Tartuffe; The Writer) and Holly Race Roughan (Hedda Tesman; Broken Dreams).

The series will include new works from a diverse group of celebrated playwrights including; April De Angelis (My Brilliant Friend; The Village), Josh Azouz (The Mikvah Project; Buggy Baby), Deborah Bruce (The Distance; The House They Grew Up In), John Donnelly (The Pass; The Knowledge), James Graham (Ink; QUIZ; Coalition; Brexit: An Uncivil War; Labour of Love), Charlene James (Cuttin' It; Tweet Tweet), Matilda Ibini (Where do we go next: Little Miss Burden), Jasmine Lee-Jones (seven methods of killing Kylie Jenner) Duncan MacMillan (People, Places and Things; City of Glass; Rosmersholm; 1984; Lungs), and Anna Maloney (Consent), Nathaniel Martello-White (Torn; BLACKTA), Chlo Moss (This Wide Night; The Gatekeeper), Prasanna Puwanarajah (Nightwatchman; Patrick Melrose; Doctor Foster) and Tim Price (Salt, Root, Row; The Radicalisation of Bradley Manning).

Using digital conferencing technology, and combining live and pre-recorded material, these intimate new plays will give an immediate insight into this extraordinary communal experience. Unprecedented: Real Time Theatre from a State of Isolation will be braodcast on the BBC as part of BBC Arts' Culture in Quarantine initiative and made avaliable to stream online from May.

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Headlong and Century Films Partner With BBC Arts On UNPRECEDENTED: REAL TIME THEATRE FROM A STATE OF ISOLATION - Broadway World

Rebel Without the Clothes – Jezebel

The front cover of Benjamin Mosers new biography of Susan Sontag doesnt have any words on it, just a photograph of Sontag, wearing a leather jacket. The jacket was as legible when the photo was taken as it is now: this is an image of a renegade. Sontags not wearing tweed or corduroy; shes not that kind of intellectual. Instead, with her leather jacket, she signifies that shes a kind of rebel intellectual that famously preferred erotics to hermeneutics. The jackets original association with motorcycle gangs gave it an aura of freedom and potential violence. While they seemed dangerous originally, those associations have become diluted over the years, so what would a contemporary writer wear to show that they are a cool renegade? Theres no obvious answer; in fact, its been a while since we had a new garment with the symbolic heft of the leather jacket.

In the past century, eight decades each gave us at least one strong universally comprehensible symbol of naughtinessand then, in the last 20 years, the well ran dry. Fishnet stockings, leather jackets, sagging jeans, and then, for a long time, nothing. If a filmmaker had to dress a vampire boyfriend without 20th-century markers for his sexy badness, where would she even begin? The pussy and MAGA hats are simple declarations of group identity. Leather jackets dont suggest the wearer is actually part of a motorcycle gangthey just imbue the wearer with a renegade aura. Billie Eilishs decorated face mask from the 2020 Grammys is one of our first symbolic garments of the 21st century. Eilish wasnt actually trying to hide her identity from facial recognition software or attempting to avoid sharing germs with the other attendees. Instead, the mask makes visual reference to the many groups of people who do wear face masks to respond to modern surveillance technologies or modern epidemics. Without joining with any of those groups, she borrowed a bit of their aura to symbolize her rebellious feelings.

Its not just that theres no symbolically naughty clothing at the moment, either. In the 1990s, every style of jeans had a meaning. Ripped jeans suggested punk, embroidery on the thighs suggested hippie idealism; one shape of oversized jeans suggested hip-hop while another suggested skaters. There were the jeans Cindy Crawford would wear, and the kind that Anna Nicole Smith would wear, and the details of these differences conveyed auras of meaning onto whoever was wearing them. Sunglasses, too: if Peggy Olson walked out of her job at the end of Mad Men wearing John Lennon-style sunglasses, it would change the meaning of that scene. Same if Audrey Hepburn had worn aviators with mirrored lenses in Breakfast at Tiffanys. The sunglasses in the sunglasses emoji are the same style as Peggy Olson, Edward Cullen in Twilight, and Emma Stone in Easy A. Clothing and accessories used to have such fine-grained associations that theres a kind of sunglasses that mean, I know everyones watching me, and I dont care except that I feel pretty goodand then, we largely stopped making new ones. If someone wanted to signify coolness in an emoji, theres no updated symbol that could replace those sunglasses.

Our jeans still change styles, but those changes dont mean anything anymore. Low-waist jeans have been replaced by high-waist jeans, but neither has any meaning about the person wearing them. Contemporary ripped jeans are just an informal version of the same absence of meaning, and while embroidered flowers and peace signs might still suggest a kind of Coachella bohemianism, the association is increasingly commercialized. Nearly every major retailer sells festival clothes now. As fewer people learn to sew and more high-end stores sell hippie-inspired styles, boho increasingly means brands like Free People or Anthropologie rather than individual people who made their own new designs or adapted existing styles. Certain styles still maintain the meaning of their original reference, but the transgression of transgressive styles, and the idealism of idealistic styles are all waning. All those meanings are dissipating.

Yoga pants would be a natural heir to the meaningful jeans styles of yesterday because they have moved from the gym to being anywhere clothes. But despite trends in fabrics, patterns, and lengths, theres no difference between a person who wears floral leggings and someone who wears leggings with mesh patches. The brands signify group identityLululemon is famous for obnoxiously defending what kind of person, and what kind of body, fits into their leggingsbut almost all brands have clusters of customers, and the stylistic details themselves dont signify a set of beliefs or attitudes beyond group membership. Theres no symbolic way to wear Lululemon leggings or a MAGA hatif youre wearing those things, youre just very directly wearing the branding associated with the garments.

There are new clothing styles that make watered-down reference to old signifiersthe new mom jeans, the new prairie dresses, new hoodies, new yee-haw agenda cowboy outfitsbut no new meanings. Clothing can still signify levels of formality, it can still show a direct group allegiance, but our new styles arent designed to go any farther than that.

One obvious explanation for that change is the internet now, and personal branding takes different forms. But theres another layer to how the internet has changed the way we see each other, not only how we express ourselves.

In the past 20 years, mass culture hasnt established new countercultural icons to embody feelings people otherwise cant express. Law-abiding people still sometimes claim a symbolic connection with Bonnie and Clyde, whether its Serge Gainsbourg, Beyonce and Jay-Z, or anyone else who isnt a bank-robber but wants a little of their lawless bad-boy and bad-girl allure without actually claiming that banks ought to be robbed, but the new criminals we admire are usually admirable because they have done something worthy rather than because they symbolize something inexpressible like Bonnie and Clyde or a celebrity gangster. Someone might un-symbolically admire Chelsea Manning or Reality Winner for their civil disobedience, but thats not the way most people have admired Bonnie and Clyde for the way they symbolize insouciant rebellion. They feel countercultural without actually having done any literal civil disobedience that would affect the culture.

There are famous scammers now, and the stories of Elizabeth Holmes and Anna Delvey getting away with scams can symbolize regular peoples desire to be free of societys rules around money. As Ive encountered it, peoples admiration for these scammers seems more distant and ambivalent than the way that previous generations have admired their famous criminals. I havent heard anyone claim kinship with Elizabeth Holmes to express any kind of countercultural cool, for instance. It may be that in a few more years, movies like The Queen and Slim will take on the Fyre Festival impresarios as counter-cultural models instead of Bonnie and Clyde, but my sense is that the admiration for our current crop of scammers comes from a different place, more gawking and less symbolically freighted.

The change in how we relate to our criminals is why the disappearance of meaning from our clothes isnt only about a shift of personal branding from jeans to social media. Cool criminals have largely disappeared in the same years as the auras of our jeans. There are still plenty of violent people, even some good-looking ones like the Hot Felon, but as far as I can tell, people arent paying attention because they symbolize profound feelings. Theres no equivalent to Lord Byron or Sid Vicious, maybe not since 50 Cent spent 2000 talking about how he was shot nine times.

Since the internet has lowered the barriers to public speech, people those barriers formerly would have stopped can now speak for themselves, which makes them less appealing as symbols. People from nearly any category of marginalizationany kind of body, any experienceonce reduced to narrow symbols can now show what normal looks like from their perspective, and it never aligns with their supposed symbolic meaning. So one side of the change is that a lot of people have more avenues to resist being used as symbols for the feelings of others.

At the same time, social media is available to the people who, a generation earlier, might have idolized Christian Slater from Heathers to express their feelings of anger and alienation. There are more ways for people to say what they mean without having to triangulate with another persons clothing, identity, or crimes. Even where its not seen as offensive, as in the aura of the motorcycle jacket or the celebrity criminal, people dont seem to adopt other people or their clothing so easily as symbols, or to need to. This is a profound change in our culture of perception.

It will be interesting to see if masks like Eilishs become more broadly popular with a symbolic but not literal connotation of rebellion, or if people will continue using facial-recognition-baffling makeup and masks mainly when they are directly rebelling. Perhaps the mask will also be absorbed and stripped of any rebellious meaning, becoming instead a universal accessory of protection and care.

h/t Erica Nofi.

Catherine Nichols has written for Jezebel many times since 2015.

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Review: ‘Final Draft: The Collected Work of David Carr,’ edited by Jill Rooney Carr – Minneapolis Star Tribune

The mystique surrounding Minneapolis native David Carr has grown since his death, at 58, in 2015. He now bears the complex aura of devoted friend and mentor, tough editor, redeemed junkie, author of the bestselling memoir The Night of the Gun and celebrated face of the New York Times, where his intelligence, compassion and humor won the admiration of peers. We have sorely needed the grounding provided by Final Draft, in which his widow gathers more than 50 features and other pieces written throughout Carrs 25-year career.

David Carr was a quintessential journalist, with an endless curiosity about life.

In sentences as clear and straight as spring water, to borrow a phrase from Rudyard Kipling, he wrote about media, politics, popular culture and other topics with an honest, often blunt, sometimes biting style that eviscerated phoniness, especially when it besmirched the craft he loved. He lambasted TV talk shows for welcoming the pirate sensibilities of Ann Coulter because seeing hate speech pop out of a blonde who knows her way around a black cocktail dress makes for compelling viewing. He called the New Republic in its plagiarism-plagued years a hotbed of adolescently malevolent con artists with notepads.

But in lengthy profiles, he could embrace gifted celebrities, often addicts, with understanding: serial relapser Robert Downey Jr. and his romance with mind-altering chemicals, Neil Young, whose brokenness has annealed rather than slowed him at age 66, and Philip Seymour Hoffman, who got in the ring with his addiction and battled it for two decades successfully.

The articles, arranged chronologically, trace Carrs work from his days as a writer and editor in Minnesota in the 1980s, at the Twin Cities Reader, Family Times and elsewhere, including personal accounts of a fishing trip with addicts from Eden House, his battles with cancer and his friendship with comedian Tom Arnold. Twin Cities journalism fills one-third of the book.

In 1995, Carr moved on to editing Washington City Paper, where he mentored Ta-Nehisi Coates (who provides a warm foreword) and demonstrated his versatility by profiling singer Lucinda Williams and parsing a badly reported account of suburban preteen oral sex.

As media columnist for the New York Times beginning in 2000, Carr wrote about Bill Cosbys enablers (including Carr himself) who ignored the comics harassment of women, Fox News, the Chicago Tribune, Julian Assange and the rise of digital publishing. There are also deeply reported stories from the Atlantic (on the dubious value of homeland security) and New York Magazine as well as lighter outings on cats and commuting.

In an unexpected gift to young journalists, the book contains the engaging syllabus for a communications class Carr taught at Boston University in 2014. Filled with knockout reading lists, the 12-page outline offers Carrs credo: Who you are and what you have been through should give you a prism on life that belongs to you only.

His own hard-won prism illuminates much of this gratifying book.

Joseph Barbato, an author and journalist, has reviewed for the Washington Post and USA Today. He is a former contributing editor at Publishers Weekly.

Final Draft: The Collected Work of David CarrEdited by: Jill Rooney Carr.Publisher: Houghton Mifflin Harcourt, 400 pages, $28.

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New Trends of Quantum Cryptography Market scrutinized in the new analysis – WhaTech Technology and Markets News

Feed enzymes are the additive ingredients used with the fodder of animals to enhance their digestion capabilities. These special types of biologically active chemicals expedite the digestion process and help in retaining useful nutrition like phosphorous that aid in animal development. According to Market Research Explore, the global feed enzyme market is expected to grow at a CAGR of 7.3% during the forecast period. It is expected to reach $1.51 billion by 2023.

TheGlobal Feed Enzyme Marketstudy is an evaluative research report released by Market Research Explore to offer a wide-ranging analysis of the market. The report covers the assessment of diverse market elements that lead to govern, impact, drive, or hinder the global Feed Enzyme market growth momentum.

The report mainly focuses on the leading market players, industry environment, influential factors, market segments, and the competitive scenario and provides a detailed analysis. The evaluation based on current past Feed Enzyme market size, share, demand, production, and sales is also highlighted in the report.

Report-www.marketresearchexplore.com/report/27#enquiry

The global Feed Enzyme market has been evolving at considerable growth rates and is forecasted to report an accelerated CAGR during the forecast period of 2020-2025. The global Feed Enzyme market is being boosted by rapidly escalating demand growth, product awareness, rising disposable incomes, surging purchasing confidence, and raw material affluence.

Technological advancements, recent market developments, and product innovations are expected to strengthen the market growth in the near future. According to the report, the global Feed Enzyme market will also impact its peers and parent markets by 2025.

The report offers authentic forecasts for market size, revenue sales, growth rate, and CAGR after deriving related information from the historical and present sitch of the global Feed Enzyme market. The report further elucidates changing market dynamics, consumption tendencies, emerging and contemporary market trends, pricing structure, product values, restraints, limitations, and growth-driving factors that have been considered to pose significant impacts on the market structure.

Comprehensive Study of Leading Companies based on Production, Revenue, and Share-

Additionally, the report explores current and forthcoming challenges and opportunities in the Feed Enzyme market that prompt market players, investors, and company officials to boost their business with lucrative gains. potential threats, market risks, hindrances, obstacles, and uncertainties are analyzed in the report that tends to be harmful to market development in the near future.

The report additionally analyzes the global Feed Enzyme industry environment covering international trade disputes, emergencies in the developed and developing nations, and provincial stringent regulations that could influence the Feed Enzyme market positively or negatively.

Furthermore, market segmentation is profoundly studied in the report featuring significant segments such as types, applications, regions, and end-users. Each product type and application is thoroughly examined in the report considering its current demand, profitability, revenue, and growth prospects.

Their forecast performance is also underscored in the report, which drives market players to focus on the most remunerative segments in the global Feed Enzyme market. a regional analysis of the Feed Enzyme market is comprised the, which has evaluated major regions including North America, Europe, Asia Pacific, South America, and Middle East & Africa.

Global Feed Enzyme Market 2020

Significantly, the report highlights crucial assessments of leading market players operating in the global Feed Enzyme market to comply with the soaring demand for the Feed Enzyme . The report evaluated leading companies' performance considering their Feed Enzyme sales revenue, gross margin, production volume, distribution networks, global reach, growth rate, and CAGR.

Their strategic moves explored in the report alongside important product research, innovation, development, and technology adoptions.

Key Features of the Global Feed Enzyme Market Report:

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New Trends of Quantum Cryptography Market scrutinized in the new analysis - WhaTech Technology and Markets News