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The heart behind the boba tea: All about YAAAS Tea in Farmingdale – Greater Long Island

Kelly Zhou grew up in Fujian, a providence in China best known for its tea production.

She says tea has always played a major role in her life.

As a little girl, boba tea a drink served with tapioca pearls was considered a sweet treat.

At 15 years old, she immigrated to the United States where she found others from her hometown running restaurants on Long Island.

Combining her family history in the restaurant business, a computer science degree, and her love for boba tea, it became a no-brainer for Zhou to open her own authentic boba tea business: YAAAS Tea in Farmingdale.

I paid my college tuition working in my familys restaurant, I was doing like 50 hours a week, she said. Computer science has never been my passion, I love technology but I dont see myself working behind a computer; I really like the interaction.

In China, Zhou says peoples palettes are a bit different from those in the United States. Chinese people drink more pure tea, while in the United States, she says she noticed people like sweeter, creamier drinks.

With this observation, she decided to fuse the knowledge of her roots with what she learned in the U.S. to come up with a menu.

The vast variety of drinks at YAAAS Tea located at 118 Secatogue Ave. in Farmingdale makes it difficult to choose just one option.

Some of the more popular flavors include Brown Sugar Bobo, creme brle-style drinks, classic milk teas, and fresh teas.

The toppings are what really brings the drinks together, like different flavor bobas, lychees, jellies and more.

Theres also other sweet treats such as the boba cake and soft-serve, tea-flavored ice cream.

As one can tell from the photos below, all the drinks on the menu go through a meticulous creation process. It takes two hours from step 1 of shaking powder off the boba, to the end when the fully cooked pot is ready.

To keep up with the demand, the YAAAS Tea team is cooking non-stop in the kitchen.

We use the best quality boba, thats the important thing nothing makes me angrier than like bad boba, Zhou said. The shelf life for the boba is about three to four hours, but we make it strictly under two hours, so when two hours goes by, everything goes . to get the best consistency and best taste.

The proper way to drink YAAAS Teas drinks is to shake them 15 times, jam the straw into the lid on top and simply enjoy.

She also urges her drinkers to snap a pic first and post on social media.

Social media is crucial to the businesss success. From younger customers taking foodie pics for Instagram to even the stores logo that resembles a hashtag, its all about building the brand for Zhou.

On Monday, she announced on Instagram that YAAAS Tea is opening its second location, this time in Huntington.

Zhou confirmed with greaterfarmingdale.com she is looking to open at 347 New York Ave. around Christmas time.

In the end, she says following her heart led her to a job she is excited to wake up for everyday.

Im a true believer in womens independence, Zhous said. As a minority woman who has been in the business for a long time, I teach the girls Ive become a mentor for that to gain real independence, financial or personal freedom, you have to know what you want to do and then put your heart into it.

Follow YAAAS Tea on Instagram for updates on menu items and the new Huntington location. Visit their website to place an order for pickup or delivery.

Stay tuned for future updates on YAAAS Tea in Huntington on greaterhuntington.com.

Top: Kelly Zhou behind the register at YAAAS Tea in Farmingdale. Scroll through photos below.

Top: Kelly Zhou, owner of YAAAS Tea in Farmingdale.

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What the heck is a time crystal, and why are physicists obsessed with them? – Popular Science

Youre probably quite familiar with the basic states of mattersolid, liquid, gasthat fill everyday life on Earth.

But those three different sorts of matter that each look and act differently arent the whole of the universefar from it. Scientists have discovered (or created) dozens of more exotic states of matter, often bearing mystical and fanciful names: superfluids, Bose-Einstein condensates, and neutron-degenerate matter, to name a few.

In the last few years, physicists around the world have been constructing another state of matter: a time crystal. If that seems like B-movie technobabble, its technobabble no longer. Using a quantum computer, a few researchers have created a time crystal that, they think, firmly establishes time crystals in the world of physics.

The researchers havent yet formally published their research, but last month, they posted a preprint (a scientific paper that has yet-to-be peer-edited) on the website ArXiV.

So what exactly is a time crystal? It might sound like the critical component that makes a time machine tick, some sort of futuristic power source, or perhaps an artifact of a lost alien civilization. But, to scientists, a time crystal is actually something more subtle: a curiosity of the laws of physics.

What defines any bog-standard crystalsuch as a diamond, an emerald, or even an ice cubeis that the crystals atoms are somehow arranged in repeating patterns in space. Theres three dimensions of spaceand a fourth dimension, time. So physicists wondered if a crystals atoms could be arranged in repeating patterns in time.

In practice, that works something like this. You create a crystal whose atoms start in one state. If you blast that crystal with a finely tuned laser, those atoms might flip into another stateand then flip backand then flip againand so forth, all without actually absorbing any energy from the laser.

If you step back, what youve just created is a state of matter thats perpetually in motion, indefinitely, without taking in any energy.

Thats no small feat. It beats against one of classical physics most sacred tenets: the second law of thermodynamics. That law states that the amount of entropy, or disorder, always tends to increase. Think of it like a vase, teetering at the edge of a table. The universe wants to push that vase over and make it shatter across the floor. To piece it back together, you have to put in the energy.

Time crystals are actually a rather new idea, having first been theorized by Nobel-winning physicist Franck Wilczek in 2012. Not all physicists accepted that theory at the time, with some claiming that the second law of thermodynamics would rear its legalistic head.

Naturally, determined researchers found loopholes. In 2016, physicists at the University of Maryland managed to bodge together a crude time crystal from a collection of ytterbium atoms. Other groups have created time crystals inside diamonds.

[Related: In photos: a rare glimpse inside the heart of a quantum computer]

But these latest time-crystal-tinkerers did something different. They turned to Google and used a quantum computer: a device that takes advantage of the quirks of quantum mechanics, the seemingly mystical sort of physics that guides the universe at the tiniest scales. Instead of using bits of silicon like everyday, classical computers, quantum computers operate directly with atoms or particles. That allows physicists to do experiments which can be agonizingly difficult with traditional computers, since quantum physicswhich allows particles to be multiple things at one and for particles to interact at seemingly impossible distancesgets quite esoteric.

The ability to simulate the rulesbecomes so much harder with traditional computers, says Gabriel Perdue, a quantum computer researcher at Fermilab, a national lab in suburban Chicago that focuses on high-end particle physics.

But, by arranging particles in a quantum computers processor, its possible to literally study systems of tiny particles as if they are building blocks. Thats a powerful ability, and its not something youll see much in the non-quantum world.

We dont compute, you know, how far a baseball goesby building miniature baseball players and doing simulations, says Perdue. But doing something quite similar on a very small scale, he says, is what the researchers used Googles quantum computer to do to make their time crystal.

In this case, physicists could take atoms, rearrange them, then pulse them with a laser to drive a time crystal. That setup has allowed researchers to create a time crystal thats bigger than any time crystal before it. While many previous time crystals were short-lasting and unravelled within a few back-and-forth flip cycles, the scientists behind this latest time crystal effort are marvelling at the stability of what theyve created.

The thing that is most exciting here, for me, says Perdue, its a demonstration of using a quantum computer to really simulate a quantum physics system and study it in a way that is really novel and exciting.

So, could these time crystals indeed lead to a new wave of nascent time machines?

Probably not. But they might help make quantum computers become more robust. Engineers have struggled for years to create something that could serve as memory in quantum computers; some equivalent to the silicon that underpins traditional computers. Time crystals, physicists think, could serve that purpose.

And this experiment, Perdue says, is also a demonstration of the power of quantum computers to do science. The same platform that makes it easy for you to simulate some cool algorithm, he says, works just as well, and I would argue even better, for simulating these kinds of systems.

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This collection of 11 top-rated computer science courses is just $35 – BleepingComputer

By BleepingComputer Deals

To land a job at the cutting edge of technology, you really need a background in computer science.

But what if youre starting from scratch? Thankfully, there is an alternative to spending another costly few years in college.

The 2021 All-in-One Computer Science Certification Bundle provides over 100 hours of essential training, covering a wide range of key skills. The included content is worth $2,200, but you can get it today for just $34.99 at Bleeping Computer Deals.

To call yourself a computer scientist, you need a deep understanding of how computers operate. That means you need to learn multiple programming languages, get hands-on with data, and become a skillful developer.

The potential reward for mastering these skills is $104,000 a year on average, according to Indeed.

This bundle is the ideal introduction, providing over 100 hours of video tutorials. Perfect for beginners and improvers alike, the content helps you progress quickly without cutting corners.

Along the way, you will learn how to code with Java, C++, Ruby on Rails, C#, Python, and JavaScript. You can also learn web development with JQuery and AngularJS, and build your own chatbots with Google DialogFlow. The training even dives into applied probability, software testing, and voice recognition.

Each course offers a certificate of completion, and your instructors include Rob Percival, who has helped over 1.6 million students to date.

Order now for just $34.99 to get lifetime access to all 11 courses, worth $2,200.

Prices subject to change.

Disclosure: This is a StackCommerce deal in partnership with BleepingComputer.com. In order to participate in this deal or giveaway you are required to register an account in our StackCommerce store. To learn more about how StackCommerce handles your registration information please see the StackCommerce Privacy Policy. Furthermore, BleepingComputer.com earns a commission for every sale made through StackCommerce.

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‘More young people than ever’ choosing computer science at uni, says BCS – Education Technology

Computer science has been named the fastest-growing A-level STEM (science, technology, engineering, mathematics) subject by BCS, the Chartered Institute for IT.

According to the Institutes analysis, results day (10 August) this year saw an 11% increase in the number of students earning an A-level grade in the discipline. Not only this, but more female students than any previous year have achieved a grade in the subject, more than half of whom have been awarded an A or A*.

Compared to last year, the subject saw 13% more female A-level entries, with BCSs research showing that A-level enrolments from young women have increased by more than 350% since 2015.

In Scotland, 17% of computer science highers have been granted to female students this year.

Data shows that women now comprise 15% of all A-level entries and are generally achieving higher grades. More than 51% (compared to 45% in 2020) of female students received a high grade this year, compared to 43% (35% in 2020) of male students.

The Institute has welcomed the rise in female participation, which has subsequently driven a 9% surge in the number of young women pursuing the subject at undergraduate (UG) level across the UK. This trend is mirrored across the whole of this years cohort, which overall, has seen highest number of students being accepted into computer science degrees in the last decade. According to Ucas data, there has been a 5% increase in UG computer science graduates compared to 2020. Over the last 10 years, student demand for the subject has soared by 60%.

Computing is a rich and creative subject which can lead to exciting and rewarding careers, as well as skills which are in high demand from employers, and will help to address the digital skills gap Julia Adamson, BCS

Julia Adamson, director of education at BCS, said: More young people than ever before are choosing to study computer science at university. Computing is a rich and creative subject which can lead to exciting and rewarding careers, as well as skills which are in high demand from employers, and will help to address the digital skills gap.

There are variations across UK countries, with the number of students from England gaining acceptance to computer science degrees increasing by 6%; from Scotland, up 5%; while numbers in Wales remain the same; and enrolments in Northern Ireland have declined by 14%.

The study confirms computer science as the fastest-growing STEM-based A-level, with numbers in England rising by 12%, compared to 6.4% for STEM subjects overall (including: maths and further maths, computer science, biology, physics and chemistry).

Student appetites for the subject are also expanding in Scotland, with the nation seeing a 7% growth in the number of students being awarded a computer science higher.

Were particularly pleased to see rising numbers of female students choosing to study computer science at A-level and as a degree and hope this will lead to an increasingly diverse workforce in tech industries, added Adamson.

Congratulations to everyone receiving their results today. We know students and teaching staff have worked incredibly hard through a challenging year.

In other news: A-level results: increase in STEM entries from girls, but widening participation efforts stall

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'More young people than ever' choosing computer science at uni, says BCS - Education Technology

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Virtual Reality brings the past to life at Magnolia House – UNCG Now

Virtual Reality brings the past to life at Magnolia House

Posted on August 9, 2021 Tags: computer science, history, interior architecture, museum studies, research, virtual reality

The UNCG team of designers and computer scientists watch as Melissa Knapp 20 tours the historic hotel in virtual reality.

Combining design, history, and computer science, UNC Greensboro is bringing a piece of important local history to life.

Members of UNCGs Interior Architecture and Computer Science departments recently teamed up to create a virtual reality (VR) tour of the historic Magnolia House as it would have appeared in the 1950s.

The Magnolia House, located near downtown Greensboro, is a segregation-era hotel that housed such notable African American travelers as Ike and Tina Turner, Louis Armstrong, Ray Charles, James Baldwin, and Gladys Knight. The inn was featured for years in the Negro Motorist Green Book, meaning it was a safe place for Black American travelers to lay their heads or grab a meal during the danger and uncertainty of the Jim Crow era.

Now through the use of Oculus Quest 2 headsets visitors can be transported to this notable era in the Magnolia Houses history, when it was both a refuge and bustling hub for Black entertainers, authors, and civil rights activists.

Walking around the hotel, you observe the mid-century modern furniture and dcor. Jazz music plays from a room upstairs, its volume changing as you move closer or farther away. You peer off the porch at the Greensboro countryside, which looks quite different from the downtown neighborhood that surrounds the hotel today.

VR is a great medium to communicate in a way that wasnt possible before, to educate and bring awareness to historical time periods, said Dr. Regis Kopper, a computer science professor and one the projects supervisors.

Funded by a Catalyzing Creativity grant from the City of Greensboro, the project took three months to complete and more than 200 hours of work largely from undergraduate students.

Interior Architecture student Hannah Tripp worked with faculty mentor, Dr. Asha Kutty, to create the designs, measuring the inn on site and drawing an architectural model using the 3D design software SketchUp. No historical photos of the Magnolia House could be found, so they turned instead to design books and magazines featuring mid-century modern furniture, lighting, and interiors to create historically accurate models as well as a walkthrough using Enscape (video below).

The designers then worked with computer science student Kadir Lofca and his faculty mentor, Kopper, to transform the designs into the VR experience.

Kopper, whose research focuses on virtual reality, says the power of this medium comes from its immersive quality.

There is research to support that VR promotes a more visceral response, that it enables you to build more memories than through traditional means of learning because of the feeling of presence you get.

Kadir Lofca, Dr. Regis Kopper, Hannah Tripp, Dr. Asha Kutty, and Melissa Knapp 20

Guiding the UNCG team along the way was Melissa Knapp 20, the Magnolia Houses historic site manager and curator as well as an alumna of the UNCG masters in history with a concentration in museum studies.

Knapp has already used the VR tour to help educate a group of Dudley High School students about the hotels storied past. The VR tour will continue to be used with future field trips and educational programming.

Guests will soon be able to stay in the Tina Turner room at the renovated Magnolia House

And excitingly the VR tour will soon be an optional experience for guests staying overnight.

Interior renovations to the Magnolia House are fully underway, with plans to open as a bed and breakfast once again in fall 2021. The building has not functioned in this capacity since the 1960s, when civil rights and the end of segregation made Green Book sites less relevant.

Though the newly designed Magnolia House will have a fresh, modernized feel, it will still draw heavily from its historic roots. Rooms will be thematically designed around the hotels famous visitors so guests will soon be able to stay in the Tina Turner Suite, for instance. Knapp also hopes, with future funding, to add more augmented reality experiences to the tour, enabling guests to interact with the Magnolia Houses famous historic figures in the realm of virtual reality.

This is not UNCGs first time bringing awareness to the history of the Magnolia House, nor will it be the last. New projects between the historic inn and UNCG are already in the works.

Partnering with UNCG always brings a lot of creativity and new directions, said Knapp. You wouldnt immediately see the connections between interior architecture, computer science, and history, but theres great value in looking at things from different, interdisciplinary perspectives.

Story by Elizabeth Keri, College of Arts & SciencesPhotography by Martin W. Kane, University Communications

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COVID-19, protests, and crime | Penn Today – Penn Today – Penn Today

The COVID-19 pandemic upended so much so quickly when stay-at-home orders forced most Americans indoors in March 2020. For Penn Law economics professor David Abrams, who has spent the last two decades studying crime, a key question for the moment was how the pandemic would affect Americas crime rate. Would forcing people to stay home lead to calm? Could a sense of detachment lead to lawlessness?

Last summer he launched a series of projects aimed at analyzing data from cities around the nation to get to the bottom of how the pandemic affected crime.

Crime dropped in a big way as the pandemic hit, which turns out to be the same thing that happened 100 years ago during the 1918 flu pandemic. Thats the short-term takeaway, Abrams says.This initial drop in crime has been swept away by the current, headline-grabbing spike in homicides and shootings getting a lot of media attention, but even now not all crimes are up, he says.

There remain deeper takeaways from the pandemics effect on crime to be uncovered, he says. What happens when police stops on the streets get interrupted by pandemics or by protests? What happens when police presence varies?

Those are actually bigger, more important questions ultimately, but theyre ones that take longer to answer. Thats why were still doing the research.

This summer, the projects continue and are getting a boost from two undergraduate interns: Caroline Li, a rising sophomore from Lexington, Massachusetts, studying economics at the Wharton School, and David Feng, a rising sophomore from San Francisco,majoring in computer science in the School of Engineering and Applied Science.

The initial project involves a website Abrams created at the start of the pandemic called City Crime Stats, which started as a way to track crime during lockdown but has since transformed into a site that tracks criminal justice data from 27 major cities across the United States.

Separately, Abrams team is going beyond what happened in the pandemic, looking at the protests that followed the murder of George Floyd and different aspects of crime like police stops. Li and Feng are getting crime data from police departments around the country;removing incorrect, duplicate, or incomplete data; and moving towards analyzing it.

These big changes in such a short period of time offer a chance to learn about what impacts crime in a way that we normally couldnt, Abrams says of COVID and the racial justice rallies and protests of last June. We hope this research will help to expand our basic understanding of what impacts crime.

In high school, Feng was a debater and says he found himself wondering about the backstory of the statistics and data he was using to bolster his arguments. This led to his interest in computer science and analyzing data so he could learn how data was utilized to determine trends in society. Thats also what drew him to Abrams project.

Theres no better time to look at data than now, during COVID. Its such a monumental moment in modern history with social and economic repercussions that ripple all throughout America, says Feng. Seeing that I could use my technical skills to help contribute to this research was really important to me.

As part of his internship Feng has completely redone the City Crime Stats website.

Hes made it much better and much more useful, Abrams says, noting the site has been particularly valuable to journalists. Im really happy with how useful its been to the public, and I think it will be even more so now.

Li was drawn to the internship because she wanted to get a sense of how academic research worked at an institution like Penn. As a high schooler, you dont understand research and having this experience gives a great, broad overview of how academic research at the collegiate level is conducted, she says.

She also liked how timely the topic was, looking at both COVID and the protests and how it let her put her economics background to work. Im interested in trying to use techniques from economics across other fields, so I really appreciated the way that this project allows for that.

Feng echoed that its been helpful getting a sense of how his technical skills can be used in other fields.

Having this experience helped me realize that there are so many applications of technology and computer science, from criminal law to sociology to nonprofits and finance, he says. Theres such a broad-base application of it, and Im really glad that I was able to apply it to something I care about and am passionate about.

The goal for the research projects is to provide information for a number of academic papers, including a working paper on police stops that they recently presented at the National Bureau of Economic Researchs summer meeting, Abrams says.The first paper to emerge from the project, published in January in the Journal of Public Economics, is an early look at the pandemics effect on crime. He envisions a number of other papers will take shape from the project.

Despite the challenges of working together virtually, Li and Feng are making the most of the internships, which are supported by the Penn Undergraduate Research Mentoring Program (PURM).

It's always a pleasure working with PURM students, but these two have been especially fantastic, says Abrams. Its impressive to see what Penn undergrads, with one year of college under their belts, can contribute to ongoing research, and thats something Im very, very happy with.

David S. Abrams is a professor of law, business economics, and public policy at the University of Pennsylvania Carey School of Law and the Wharton School.

This opportunity was offered through the Center for Undergraduate Research & Fellowships, specifically the Penn Undergraduate Research Mentoring Program for first years and sophomores. Each student receives an award of $4,500 for the 10-week summer internship.

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Sewage is the latest disease detection tool for Covid-19 — and more – CNN

When covid is detected in sewage, students, staffers and faculty members are tested, which has allowed the school to identify and isolate infected individuals who aren't yet showing symptoms potentially stopping outbreaks in their tracks.

UC-San Diego's testing program is among hundreds of efforts around California and the nation to turn waste into valuable health data. From Fresno, California, to Portland, Maine, universities, communities and businesses are monitoring human excrement for signs of covid.

Researchers have high hopes for this sludgy new data stream, which they say can alert public health officials to trends in infections and doesn't depend on individuals getting tested. And because people excrete virus in feces before they show symptoms, it can serve as an early warning system for outbreaks.

The Centers for Disease Control and Prevention finds the practice so promising that it has created a federal database of wastewater samples, transforming raw data into valuable information for local health departments. The program is essentially creating a public health tool in real time, experts say, one that could have a range of uses beyond the current global pandemic, including tracking other infectious diseases and germs' resistance to antibiotics.

"We think this can really provide valuable data, not just for covid, but for a lot of diseases," said Amy Kirby, a microbiologist leading the CDC effort.

The virus that causes covid infects many types of cells in the body, including those in the respiratory tract and gut. The virus's genetic signature, viral RNA, makes its way into feces, and typically shows up in poop days before symptoms start.

At UC-San Diego and other campuses, researchers take samples flowing from individual buildings, capturing such granular data that they can often deduce the number of infected people living or working there. But in most other settings, due to privacy concerns and resource constraints, testing is done on a much larger scale with the goal of tracking trends over time.

Samples are drawn from wastewater, which is what comes out of our sewer pipes, or sludge, the solids that have settled out of the wastewater. They are typically extracted mechanically or by a human with a dipper on the end of a rod.

When researchers in Davis, California, saw the viral load rise in several neighborhood sewage streams in July, they sent out text-message alerts and hung signs on the doors of 3,000 homes recommending that people get tested.

But when covid hit the U.S. amid political chaos and a shortage of tests, local governments scrambled for any information they could get on the virus.

In rural Lake County, California, health officials had identified a handful of cases by sending nurses out to look for infected people. They were sure there were more but couldn't get their hands on tests to prove it, so in spring 2020 they signed up for a free sewage testing program run by Biobot, which pivoted to covid testing as the pandemic took off and now is charging to test in K-12 schools, office buildings and nursing homes, in addition to local governments and universities, said Mariana Matus, CEO and co-founder of the company.

The covid virus turned up in samples at four wastewater treatment facilities in Lake County.

The test data alone doesn't provide much value to health officials it needs to be translated to be useful. Scientists are still learning how to read the data, a complicated process that involves understanding the relationships between how much virus people excrete, how many people are using a wastewater system and how much rainwater is running into the system, potentially diluting the sewage, among many other factors. Since using wastewater to track diseases was not widespread before the pandemic, there's been a steep and ongoing learning curve.

Beleaguered public health officials have struggled to incorporate the new data into their already overwhelming workloads, but the CDC hopes it can address those issues with its new national system that tracks and translates wastewater data for local governments.

"Every piece of this system had to be built largely from scratch," Kirby said. "When I look at that, it really amazes me where we are now."

In the months since the system debuted, it has been able to detect an uptick in cases anywhere from four to six days before diagnostic testing shows an increase, Kirby said.

She hopes that by the end of next year the federal monitoring program will be used to check for a range of diseases, including E. coli, salmonella, norovirus and a deadly drug-resistant fungus called Candida auris, which has become a global threat and wreaked havoc in hospitals and nursing homes.

It's in these smaller communities with limited access to testing and doctors where the practice may hold the most promise, Naughton said. Covid laid bare long-standing inequities among communities that she fears will be perpetuated by the use of this new public health tool.

Public health and wastewater officials said they are thrilled by the potential of this new tool and are working on ways to address privacy concerns while taking advantage of it. Greg Kester, director of renewable resource programs at the California Association of Sanitation Agencies, wrote to CDC officials in June 2020 asking for a federal surveillance network. He can hardly believe how quickly that call became a reality. And he hopes it is here to stay, both for the ongoing pandemic and for the inevitable next outbreak.

"As vaccination rates increase and we get the variants, it's still going to be important because clinical testing is decreasing," Kester said. "We really want to make this part of the infrastructure."

This story was produced by KHN (Kaiser Health News), a national newsroom that provides in-depth coverage of health issues and that is one of the three major operating programs at KFF (Kaiser Family Foundation). KHN is the publisher of California Healthline, an editorially independent service of the California Health Care Foundation.

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Google and Lumen Bioscience Apply Machine Learning to the Manufacture of Spirulina-Based Biologic Drugs – BioPharm International

The companies announce the results of a research collaboration that applied machine learning to significantly advance the scalability of spirulina-based biologic drugs.

Lumen Bioscience, a clinical-stage biopharmaceutical company, announced in an August 11, 2021 press release the results of a research collaboration with Google that applied machine learning (ML) to significantly advance the scalability of spirulina-based biologic drugs. Lumens platform builds on discoveries of engineering spirulina and subsequent development of a low-cost system to manufacture them at large-scale under biopharmaceutical-grade current good manufacturing practice controls.

In a biomanufacturing system like Lumenswhere the growth media includes water and mineral saltsthe number of potentially interacting variables is too vast to explore with one-factor-at-a-time experimentation, according to Lumens press release. The ML application helps to improve the productivity process that took decades for older biomanufacturing platforms like yeast, E. coli, and CHO.

In the paper, the application of ML to increase spirulina productivity using Bayesian black box optimization to rapidly explore a 17-dimensional space containing several environmental variables, including pH, temperature, and light spectrum and light intensity is detailed. The research is titled Machine Learning Optimization of Photosynthetic Microbe Cultivation and Recombinant Protein Production and is pending peer review.

The combination of two pioneering innovationsthe machine-learning of Google and our spirulina-based therapeutics productionbrings us even closer to a fully optimized approach that could have a major impact on devastating diseases globally, said Jim Roberts, co-founder and chief scientific officer of Lumen Bioscience, in a press release. We believe this paper is the first to describe the application of AI techniques to biologics manufacturing. We look forward to the future implementation of these practices, as supported with funding from the Department of Energy, to provide mucosally and topically delivered biologics for highly prevalent diseases that, until now, have been infeasible due to the cost and scaling challenges of traditional biomanufacturing platforms.

The research was led by Caitlin Gamble, Lumen and Drew Bryant at Google Accelerated Science and was funded in part by the Bill & Melinda Gates Foundation. Lumen Bioscience also received $2 million in additional grant funding from the Department of Energy for further development of these research findings.

Source: Lumen Bioscience

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Deep machine learning study finds that body shape is associated with income – PsyPost

A new study published in PLOS One has found a relationship between a persons body shape and their family income. The findings provide more evidence for the beauty premium a phenomenon in which people who are physically attractive tend to earn more than their less attractive counterparts.

Researchers have consistently found evidence for the beauty premium. But Suyong Song, an associate professor at The University of Iowa, and his colleagues observed that the measurements used to gauge physical appearance suffered some important limitations.

I have been curious of whether or not there is physical attractiveness premium in labor market outcomes. One of the challenges is how researchers overcome reporting errors in body measures such as height or weight, as most previous studies often defined physical appearance from subjective opinions based on surveys, Song explained.

The other challenge is how to define body shapes from these body measures, as these measures are too simple to provide a complete description of body shapes. In this study, collaborated with one of my coauthors (Stephen Baek at University of Virginia), we use novel data which contains three-dimensional whole-body scans. Using a state-of-the art machine learning technique, called graphical autoencoder, we addressed these concerns.

The researchers used the deep machine learning methods to identify important physical features in whole-body scans of 2,383 individuals from North America.

The data came from the Civilian American and European Surface Anthropometry Resource (CAESAR) project, a study conducted primarily by the U.S. Air Force from 1998 to 2000. The dataset included detailed demographic information, tape measure and caliper body measurements, and digital three-dimensional whole-body scans of participants.

The findings showed that there is a statistically significant relationship between physical appearance and family income and that these associations differ across genders, Song told PsyPost. In particular, the males stature has a positive impact on family income, whereas the females obesity has a negative impact on family income.

The researchers estimated that one centimeter increase in stature (converted in height) is associated with approximately $998 increase in family income for a male who earns $70,000 of the median family income. For women, the researchers estimated that one unit decrease in obesity (converted in BMI) is associated with approximately $934 increase in the family income for a female who earns $70,000 of family income.

The results show that the physical attractiveness premium continues to exist, and the relationship between body shapes and family income is heterogeneous across genders, Song said.

Our findings also highlight importance of correctly measuring body shapes to provide adequate public policies for improving healthcare and mitigating discrimination and bias in the labor market. We suggest that (1) efforts to promote the awareness of such discrimination must occur through workplace ethics/non-discrimination training; and (2) mechanisms to minimize the invasion of bias throughout hiring and promotion processes, such as blind interviews, should be encouraged.

The new study avoids a major limitation of previous research that relied on self-reported attractiveness and body-mass index calculations, which do not distinguish between fat, muscle, or bone mass. But the new study has an important limitation of its own.

One major caveat is that the data set only includes family income as opposed to individual income. This opens up additional channels through which physical appearance could affect family income, Song explained. In this study, we identified the combined association between body shapes and family income through the labor market and marriage market. Thus, further investigations with a new survey on individual income would be an interesting direction for the future research.

The study, Body shape matters: Evidence from machine learning on body shape-income relationship, was published July 30, 2021.

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Machine Learning Could Identify Extremists From Their Anonymous Online Posts Homeland Security Today – HSToday

Two Illinois Institute of Technology graduate students have published research examining whether extremists can be identified through their anonymous online posts using machine learning and open-source intelligence software.

Andreas Vassilakos (ITM/M.A.S. CYF 21) and Jose Luis Castanon Remy (M.A.S. ITM 2nd Year) published Illicit Activities Beneath the Surface Web: Investigating Domestic Extremism on Anonymous Social Media Platforms in HOLISTICA Journal of Business and Public Administration. Dr Maurice Dawson, Illinois Tech assistant professor of information technology and management, and Tenace Kwaku Setor, assistant professor of information science and technology at the University of Nebraska Omaha, co-authored the paper.

The researchers examined online platforms such as Reddit and 4chan, where anonymous extremist rants and thoughts can be found easily. Domestic terrorists in California and New Zealand posted manifestos on these platforms before carrying out mass shootings. In each of these two cases, the shooters identified themselves as white nationalists and used these social media platforms to anonymously post their radical ideas and perceived viewpoints of population groups that conform to their own fanatic identities in political, ethnic, and social status.

We collected actual messages from forums like Reddit and 4chan, Vassilakos says. Specifically, we reviewed subreddits [topic-based posts] that were focused on politically incorrect and racial context. Through these platforms, we were able to analyze data that was posted in plain text. We did not interpret the content, but collected it verbatim.

The researchers used Open-Source Intelligence (OSINT) software, widely used by the United States government, to collect input values and data from the social media posts, which were then moved into a spreadsheet for analysis. By combining OSINT with artificial intelligence and machine learning techniques, the researchers hope to be able to identify anonymous posters.

With this intelligence-gathering strategy, we can collect publicly available data to conduct our analysis, Vassilakos says. People are often not careful when they share data on the internet. Combining OSINT and other machine learning tools, we can excavate much information that can lead to valuable conclusions.

After identifying these posts, an investigation into who originated the post can begin. Using tools such as Maltego, the researchers can examine IP addresses, MAC addresses, and mobile devices to unveil the identity of the poster.

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Machine Learning Could Identify Extremists From Their Anonymous Online Posts Homeland Security Today - HSToday

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