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CHIPS for America Announces Selection Committee for the Board of … – HSToday

The CHIPS for America team at the U.S. Department of Commerce announced leaders to serve on a selection committee that will choose board members to form a nonprofit entity that the department anticipates will serve as the operator of the National Semiconductor Technology Center (NSTC), a centerpiece of the bipartisan CHIPS and Science Acts research and development (R&D) program.

The selection committee includes leaders with industry expertise and executive experience; public and private sector service; a deep understanding of the importance of research and development to innovation; and experience with board governance.

The NSTC is the cornerstone of the CHIPS R&D program and is critical to the long-term success of the American semiconductor industry and our national and economic security goals, said Secretary of Commerce Gina Raimondo. We want the NSTC to be an engine of innovation, supporting and extending U.S. leadership in semiconductor research, design, engineering and advanced manufacturing for decades to come. This selection committee is the next step to helping us stand up the NSTC and ensure it succeeds for generations.

We chose the selection committee members from a stellar group of nominees, said Under Secretary of Commerce for Standards and Technology and National Institute of Standards and Technology (NIST) Director Laurie E. Locascio. The selection committee members have the deep industry knowledge and executive experience to identify distinguished, visionary leaders for the new independent, nonprofit entity that the department anticipates will operate the NSTC.

The following leaders will serve on the selection committee:

Janet Fouttyis a principal with Deloitte Consulting LLP and formerly served as executive chair of the board of Deloitte US from 2019 to 2023. Previously, she served as chair and CEO of Deloitte Consulting LLP. While chair, Foutty focused on critical matters of strategy, risk management and talent. Foutty was chosen for the selection committee due to her senior executive experience working at the intersection of the private and public sector, where she advised large, complex corporations and the federal government. She also has critical experience leading efforts to scale organizations and develop senior executive leadership.

John Hennessyis a professor of electrical engineering and computer science at Stanford University and chairman of Alphabet. Hennessy served as president of Stanford University from 2000 to 2016. Hennessy was chosen for the selection committee because of his expertise and experience with the semiconductor industry, his technical expertise in innovative technology, and his senior executive experience leading a major research university.

Jason Mathenyis president and chief executive officer of the RAND Corporation. Prior to becoming RANDs president and CEO in July 2022, Matheny led White House policy on technology and national security at the National Security Council and the Office of Science and Technology Policy. Matheny brings to the selection committee a record of distinguished service in the public sector, including serving in high-level government positions in national security. His expertise lies at the intersection of national security and technology. He also possesses significant experience overseeing large federal government research programs.

Don Rosenbergis a Fellow in Residence at UCSDs School of Global Policy and Strategy anda venture partner at Anzu Partners. He previously served asexecutive vice president, general counseland corporate secretary of Qualcomm Incorporated, where he was responsiblefor overseeing Qualcomms worldwide legal matters as well as its global government affairs function. Prior to that he served as senior vice president and general counsel of IBM and Apple.Rosenberg was chosenfor the selection committeefor his senior executive experience in the semiconductor industry; his senior executive experience at large, complex, sophisticated organizations; and his experiencein corporate board governance.

Brenda Wilkersonis president and chief executive officer of AnitaB.org, a global nonprofit that promotes greater equality for women and nonbinary professionals in technology fields by working with employers and the academic institutions training the next generation of leaders. Previously, Wilkerson was director of computer science and information technology education for Chicago Public Schools, where she founded the original Computer Science for All initiative. Wilkerson was chosen for her senior executive experience in technology, many years of public sector service, and experience building the technology workforce, including developing STEM workforce pipelines and opportunities among traditionally underrepresented groups.

Selection committee members were drawn from nominations received in response to an April 26, 2023,Federal Registernotice. The selection committee will act independently of the Department of Commerce. The selection committee will terminate no later than Aug. 31, 2023. To learn more about the NSTC structure, seeA Vision and Strategy for the National Semiconductor Technology Center,published in April 2023.

The CHIPS Act established four research and development programs at the National Institute of Standards and Technology (NIST): the National Semiconductor Technology Center, the National Advanced Packaging Manufacturing Program, up to three new Manufacturing USA institutes dedicated to semiconductors, and the CHIPS R&D Metrology Program.

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24 Stanford students and alumni awarded Fulbright Grants – Stanford University News

Twenty-four Stanford affiliates are recipients of grants from the Fulbright U.S. Student Program for the 2023-24 academic year, including seniors, graduate students, and alumni.

The Fulbright U.S. Student Program awards grants annually to more than 1,900 diverse U.S. students, artists, and early career professionals who pursue special projects in more than 140 countries. The newest Stanford grantees will travel to 17 countries, including Brazil, Chile, France, Germany, Indonesia, Israel, Italy, Mexico, and Norway, where they will carry out individually designed research projects, pursue graduate study programs, or take part in English teaching assistant programs during the 2023-24 academic year.

Following are the 2023-24 Fulbright recipients affiliated with Stanford.

Anuj Amin (PhD student, Religious Studies) will work with antiquities officials and historians in Israel. Amin will also study the provenance of Aramaic incantation bowls to better understand their ritual function and their transmission into the modern day.

Leah Balter (BA Human Biology 23) will conduct a mixed methods case study on Norways overlapping COVID-19 pandemic and Ukrainian refugee crisis responses.

Madeline Casas (BS Physics, BA Comparative Literature 23) will analyze the Cosmic Microwave Background radiation using novel denoising techniques while taking courses in the masters program in fundamental physics at lcole normale suprieure in Paris.

Danielle Cruz (BS Symbolic Systems, MS Computer Science 23) will teach English in Brazil and produce a podcast series capturing stories and perspectives from local community members. She also plans to take dance classes in traditional Brazilian styles.

Isaiah Dawid (BA French, BS Biology 23) will travel to France to study periodontal disease through the creation of an organoid replicating the junctional epithelium. Dawid will specifically focus on the hard tissue/soft tissue interaction.

Jierui Fang (MS Design Impact Engineering 23) will travel to the Netherlands to investigate mycelium material futures toward wearable applications in dexterity-affected diseases. She will also examine biodesign and sociocultural influences of emerging materials.

Jessica Femenias (BA Philosophy, BA History 23) will produce a critical historical and theoretical analysis of Haitian migrant labor in rural Dominican Republic, paying special attention to the recent wave of deportations of Dominican-Haitians.

Lauren Gillespie (PhD student, Computer Science) will combine deep learning techniques developed during her PhD, citizen science biodiversity data, and remote sensing imagery to detect patterns of plant biodiversity from the skies in Brazil.

Allison Gross (MA International Education Policy Analysis 23) will teach English in Indonesia and explore the nuances of Indonesian culture and educational systems.

Chloe Haydel Brown (BS Symbolic Systems 23, MS Sustainability 25) will teach English in Argentina, with a side project teaching yoga, dance, and other movement classes.

Alex Heyer (PhD student, Chemistry) will work at KU Leuven in Belgium researching methods for low-temperature methane combustion using zeolites with applications in lowering methanes greenhouse gas contribution.

Charlie Hoffs (BS Chemical Engineering, MS Community Health and Prevention Research 23) will travel to Chile to work with Dr. Manuel Prieto and a coalition of Aymara herders, farmers, and organizers to develop policy strategies redirecting water, land, and public investment back to rural Arica.

Darrow Hornik (BA Spanish, MA Latin American Studies 23) will teach English in Mexico, as well as research Mexican and Latin American artists who create work surrounding the U.S.-Mexico borderlands and understanding the contentious space.

Hannah Johnston (PhD student, History) will conduct archival research in Italy on procurers (pimps) and their connections to the broader working worlds of Venice and Rome in the 16th and 17th centuries.

Meagan Khoury (PhD student, Art History) will travel to Italy to research and redirect ideas about early modern feminism away from only the most visible women, and instead center on womens collective labor and creative networks through the lens of 17th-century Italian embroidery.

Christopher Knight (PhD student, Biology) will use unique underwater CO2 vent systems in Ischia, Italy, to investigate how ocean acidification will impact the nutritional quality of seafood and its implications for human health.

Elizabeth Nguyen (BS Computer Science 23) will write a short story collection inspired by research in Vietnams history of militarized women spanning the Trung sisters and modern-day mandatory military training.

Erica Okine (BA Psychology 23) will travel to Germany to study the impact of orthodontic tooth movement on jaw tissues, which can enhance treatment accessibility, benefiting oral health.

Stephen Queener (BA International Relations 23) will study human rights at the Friedrich-Alexander Universitt in Nuremberg, Germany, to prepare for an impactful career focused on uplifting the voices of atrocity victims.

Andrew Song (BS Human Biology 23) will pursue an MSc in bioinformatics and theoretical systems biology at Imperial College London. He will conduct research in axonal regeneration and restorative neuroscience, host music therapy sessions at hospitals, and open a tennis clinic for children with autism.

Lauren Urbont (PhD student, History) will conduct research in Israel on practices related to death and mourning among the Jews of medieval German lands between 1100 and 1350.

Valerie Wang (MS Applied Physics 22) will investigate predictive precursors to multiple sclerosis using magnetic resonance brain imaging and AI approaches at the Nencki Institute of Experimental Biology in Poland.

Katherine Whatley (PhD student, Japanese Literature) will investigate the connection between text and song in pre-modern Japan and examine the musical aspects of classical Japanese literature to create original compositions for the koto (transverse Japanese harp) inspired by ancient Japanese songs and poems.

Emily Wong (BS Mechanical Engineering 23) will travel to Germany to create a robotic fish that uses artificial intelligence to imitate the electric organ discharges of Mormyrid weakly electric fish, to better understand this method of communication.

Stanford students interested in global scholarships and Stanford faculty interested in nominating students for such awards should contact Diane Murk, manager of the Office of Global Scholarships at dmurk@stanford.edu, of the Bechtel International Center.

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Envisioning the future of computing | MIT News | Massachusetts … – MIT News

How will advances in computing transform human society?

MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize an essay contest in which they were challenged to imagine ways that computing technologies could improve our lives, as well as the pitfalls and dangers associated with them.

Offered for the first time this year, the Institute-wide competition invited MIT undergraduate and graduate students to share their ideas, aspirations, and vision for what they think a future propelled by advancements in computing holds. Nearly 60 students put pen to paper, including those majoring in mathematics, philosophy, electrical engineering and computer science, brain and cognitive sciences, chemical engineering, urban studies and planning, and management, and entered their submissions.

Students dreamed up highly inventive scenarios for how the technologies of today and tomorrow could impact society, for better or worse. Some recurring themes emerged, such as tackling issues in climate change and health care. Others proposed ideas for particular technologies that ranged from digital twins as a tool for navigating the deluge of information online to a cutting-edge platform powered by artificial intelligence, machine learning, and biosensors to create personalized storytelling films that help individuals understand themselves and others.

Conceived of by the Social and Ethical Responsibilities of Computing (SERC), a cross-cutting initiative of the MIT Schwarzman College of Computing in collaboration with the School of Humanities, Arts, and Social Sciences (SHASS), the intent of the competition was to create a space for students to think in a creative, informed, and rigorous way about the societal benefits and costs of the technologies they are or will be developing, says Caspar Hare, professor of philosophy, co-associate dean of SERC, and the lead organizer of the Envisioning the Future of Computing Prize. We also wanted to convey that MIT values such thinking.

Prize winners

The contest implemented a two-stage evaluation process wherein all essays were reviewed anonymously by a panel of MIT faculty members from the college and SHASS for the initial round. Three qualifiers were then invited to present their entries at an awards ceremony on May 8, followed by a Q&A with a judging panel and live in-person audience for the final round.

The winning entry was awarded to Robert Cunningham '23, a recent graduate in math and physics, for his paper on the implications of a personalized language model that is fine-tuned to predict an individuals writing based on their past texts and emails. Told from the perspective of three fictional characters: Laura, founder of the tech startup ScribeAI, and Margaret and Vincent, a couple in college who are frequent users of the platform, readers gained insights into the societal shifts that take place and the unforeseen repercussions of the technology.

Cunningham, who took home the grand prize of $10,000, says he came up with the concept for his essay in late January while thinking about the upcoming release of GPT-4 and how it might be applied. Created by the developers of ChatGPT an AI chatbot that has managed to capture popular imagination for its capacity to imitate human-like text, images, audio, and code GPT-4, which was unveiled in March, is the newest version of OpenAIs language model systems.

GPT-4 is wild in reality, but some rumors before it launched were even wilder, and I had a few longplane rides tothink about them! I enjoyed this opportunity to solidify a vague notion into a piece of writing, and since some of my favorite works of science fiction are short stories, I figured I'd take the chance to write one, Cunningham says.

The other two finalists, awarded $5,000 each, included Gabrielle Kaili-May Liu '23, a recent graduate in mathematics with computer science, and brain and cognitive sciences, for her entry on using the reinforcement learning with human feedback technique as a tool for transforming human interactions with AI; and Abigail Thwaites and Eliot Matthew Watkins, graduate students in the Department of Philosophy and Linguistics, for their joint submission on automatic fact checkers, an AI-driven software that they argue could potentially help mitigate the spread of misinformation and be a profound social good.

We were so excited to see the amazing response to this contest. It made clear how much students at MIT, contrary to stereotype, really care about the wider implications of technology, says Daniel Jackson, professor of computer science and one of the final-round judges. So many of the essays were incredibly thoughtful and creative. Roberts story was a chilling, but entirely plausible take on our AI future; Abigail and Eliots analysis brought new clarity to what harms misinformation actually causes; and Gabrielles piece gave a lucid overview of a prominent new technology. I hope well be able to run this contest every year, and that it will encourage all our students to broaden their perspectives even further.

Fellow judge Graham Jones, professor of anthropology, adds: The winning entries reflected the incredible breadth of our students engagement with socially responsible computing. They challenge us to think differently about how to design computational technologies, conceptualize social impacts, and imagine future scenarios. Working with a cross-disciplinary panel of judges catalyzed lots of new conversations. As a sci-fi fan, I was thrilled that the top prize went to a such a stunning piece of speculative fiction!

Other judges on the panel for the final round included:

Honorable mentions

In addition to the grand prize winner and runners up, 12 students were recognized with honorable mentions for their entries, with each receiving $500.

The honorees and the title of their essays include:

The Envisioning the Future of Computing Prize was supported by MAC3 Impact Philanthropies.

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An app can transform smartphones into thermometers that … – University of Washington

Engineering | Health and medicine | News releases | Public Health | Research | Technology

June 21, 2023

A team led by researchers at the University of Washington has created an app FeverPhone that transforms smartphones into thermometers without adding new hardware. To take someones temperature, the screen of a smartphone is held to a patients forehead. Shown here is lead author Joseph Breda (left), a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering, measuring Richard Lis temperature.Dennis Wise/University of Washington

If youve ever thought you may be running a temperature yet couldnt find a thermometer, you arent alone. A fever is the most commonly cited symptom of COVID-19 and an early sign of many other viral infections. For quick diagnoses and to prevent viral spread, a temperature check can be crucial. Yet accurate at-home thermometers arent commonplace, despite the rise of telehealth consultations.

There are a few potential reasons for that. The devices can range from $15 to $300, and many people need them only a few times a year. In times of sudden demand such as the early days of the COVID-19 pandemic thermometers can sell out. Many people, particularly those in under-resourced areas, can end up without a vital medical device when they need it most.

To address this issue, a team led by researchers at the University of Washington has created an app called FeverPhone, which transforms smartphones into thermometers without adding new hardware. Instead, it uses the phones touchscreen and repurposes the existing battery temperature sensors to gather data that a machine learning model uses to estimate peoples core body temperatures. When the researchers tested FeverPhone on 37 patients in an emergency department, the app estimated core body temperatures with accuracy comparable to some consumer thermometers. The team published its findings March 28 in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

In undergrad, I was doing research in a lab where we wanted to show that you could use the temperature sensor in a smartphone to measure air temperature, said lead author Joseph Breda, a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering.When I came to the UW, my adviser and I wondered how we could apply a similar technique for health. We decided to measure fever in an accessible way. The primary concern with temperature isnt that its a difficult signal to measure; its just that people dont have thermometers.

Lead author Joseph Breda.Dennis Wise/University of Washington

The app is the first to use existing phone sensors to estimate whether people have fevers. It needs more training data to be widely used, Breda said, but for doctors, the potential of such technology is exciting.

People come to the ER all the time saying, I think I was running a fever. And thats very different than saying I was running a fever, said Dr. Mastafa Springston, a co-author on the study and a UW clinical instructor at the Department of Emergency Medicine in the UW School of Medicine.In a wave of influenza, for instance, people running to the ER can take five days, or even a week sometimes. So if people were to share fever results with public health agencies through the app, similar to how we signed up for COVID exposure warnings, this earlier sign could help us intervene much sooner.

Clinical-grade thermometers use tiny sensors known as thermistors to estimate body temperature. Off-the-shelf smartphones also happen to contain thermistors; theyre mostly used to monitor the temperature of the battery. But the UW researchers realized they could use these sensors to track heat transfer between a person and a phone. The phone touchscreen could sense skin-to-phone contact, and the thermistors could gauge the air temperature and the rise in heat when the phone touched a body.

To test this idea, the team started by gathering data in a lab. To simulate a warm forehead, the researchers heated a plastic bag of water with a sous-vide machine and pressed phone screens against the bag. To account for variations in circumstances, such as different people using different phones, the researchers tested three phone models. They also added accessories such as a screen protector and a case and changed the pressure on the phone.

The researchers used the data from different test cases to train a machine learning model that used the complex interactions to estimate body temperature. Since the sensors are supposed to gauge the phones battery heat, the app tracks how quickly the phone heats up and then uses the touchscreen data to account for how much of that comes from a person touching it. As they added more test cases, the researchers were able to calibrate the model to account for the variations in things such as phone accessories.

Then the team was ready to test the app on people. The researchers took FeverPhone to the UW School of Medicines Emergency Department for a clinical trial where they compared its temperature estimates against an oral thermometer reading. They recruited 37 participants, 16 of whom had at least a mild fever.

To use FeverPhone, the participants held the phones like point-and-shoot cameras with forefingers and thumbs touching the corner edges to reduce heat from the hands being sensed (some had the researcher hold the phone for them). Then participants pressed the touchscreen against their foreheads for about 90 seconds, which the researchers found to be the ideal time to sense body heat transferring to the phone.

Overall, FeverPhone estimated patient core body temperatures with an average error of about 0.41 degrees Fahrenheit (0.23 degrees Celsius), which is in the clinically acceptable range of 0.5 C.

The researchers have highlighted a few areas for further investigation. The study didnt include participants with severe fevers above 101.5 F (38.6 C), because these temperatures are easy to diagnose and because sweaty skin tends to confound other skin-contact thermometers, according to the team. Also, FeverPhone was tested on only three phone models. Training it to run on other smartphones, as well as devices such as smartwatches, would increase its potential for public health applications, the team said.

We started with smartphones since theyre ubiquitous and easy to get data from, Breda said. I am already working on seeing if we can get a similar signal with a smartwatch. Whats nice, because watches are much smaller, is their temperature will change more quickly. So you could imagine having a user put a Fitbit to their forehead and measure in 10 seconds whether they have a fever or not.

Shwetak Patel, a UW professor in the Allen School and the electrical and computer engineering department, was a senior author on the paper, and Alex Mariakakis, an assistant professor in the University of Torontos computer science department, was a co-author. This research was supported by the University of Washington Gift Fund.

For more information, contact Breda at joebreda@cs.washington.edu. Hell be traveling for research starting June 23; his availability for interviews will be limited after that.

For questions specifically for Dr. Mastafa Springston, please contact Susan Gregg at sghanson@uw.edu.

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Accelerating Drug Discovery With the AI Behind ChatGPT … – SciTechDaily

Researchers at MIT and Tufts University have developed a new AI model called ConPLex that vastly accelerates drug discovery by predicting drug-protein interactions without the need to calculate the molecules structures. The model can screen over 100 million compounds in a single day, which could significantly reduce drug development failure rates and costs.

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

Huge libraries of drug compounds may hold potential treatments for a variety of diseases, such as cancer or heart disease. Ideally, scientists would like to experimentally test each of these compounds against all possible targets, but doing that kind of screen is prohibitively time-consuming.

In recent years, researchers have begun using computational methods to screen those libraries in hopes of speeding up drug discovery. However, many of those methods also take a long time, as most of them calculate each target proteins three-dimensional structure from its amino-acid sequence, then use those structures to predict which drug molecules it will interact with.

Researchers at MIT and Tufts University have now devised an alternative computational approach based on a type of artificial intelligence algorithm known as a large language model. These models one well-known example is ChatGPT can analyze huge amounts of text and figure out which words (or, in this case, amino acids) are most likely to appear together. The new model, known as ConPLex, can match target proteins with potential drug molecules without having to perform the computationally intensive step of calculating the molecules structures.

Using this method, the researchers can screen more than 100 million compounds in a single day much more than any existing model.

This work addresses the need for efficient and accurate in silico screening of potential drug candidates, and the scalability of the model enables large-scale screens for assessing off-target effects, drug repurposing, and determining the impact of mutations on drug binding, says Bonnie Berger, the Simons Professor of Mathematics, head of the Computation and Biology group in MITs Computer Science and Artificial Intelligence Laboratory (CSAIL), and one of the senior authors of the new study.

Lenore Cowen, a professor of computer science at Tufts University, is also a senior author of the paper, which was published on June 8 in the Proceedings of the National Academy of Sciences. Rohit Singh, a CSAIL research scientist, and Samuel Sledzieski, an MIT graduate student, are the lead authors of the paper, and Bryan Bryson, an associate professor of biological engineering at MIT and a member of the Ragon Institute of MGH, MIT, and Harvard, is also an author. In addition to the paper, the researchers have made their model available online for other scientists to use.

In recent years, computational scientists have made great advances in developing models that can predict the structures of proteins based on their amino-acid sequences. However, using these models to predict how a large library of potential drugs might interact with a cancerous protein, for example, has proven challenging, mainly because calculating the three-dimensional structures of the proteins requires a great deal of time and computing power.

An additional obstacle is that these kinds of models dont have a good track record for eliminating compounds known as decoys, which are very similar to a successful drug but dont actually interact well with the target.

One of the longstanding challenges in the field has been that these methods are fragile, in the sense that if I gave the model a drug or a small molecule that looked almost like the true thing, but it was slightly different in some subtle way, the model might still predict that they will interact, even though it should not, Singh says.

Researchers have designed models that can overcome this kind of fragility, but they are usually tailored to just one class of drug molecules, and they arent well-suited to large-scale screens because the computations take too long.

The MIT team decided to take an alternative approach, based on a protein model they first developed in 2019. Working with a database of more than 20,000 proteins, the language model encodes this information into meaningful numerical representations of each amino-acid sequence that capture associations between sequence and structure.

With these language models, even proteins that have very different sequences but potentially have similar structures or similar functions can be represented in a similar way in this language space, and were able to take advantage of that to make our predictions, Sledzieski says.

In their new study, the researchers applied the protein model to the task of figuring out which protein sequences will interact with specific drug molecules, both of which have numerical representations that are transformed into a common, shared space by a neural network. They trained the network on known protein-drug interactions, which allowed it to learn to associate specific features of the proteins with drug-binding ability, without having to calculate the 3D structure of any of the molecules.

With this high-quality numerical representation, the model can short-circuit the atomic representation entirely, and from these numbers predict whether or not this drug will bind, Singh says. The advantage of this is that you avoid the need to go through an atomic representation, but the numbers still have all of the information that you need.

Another advantage of this approach is that it takes into account the flexibility of protein structures, which can be wiggly and take on slightly different shapes when interacting with a drug molecule.

To make their model less likely to be fooled by decoy drug molecules, the researchers also incorporated a training stage based on the concept of contrastive learning. Under this approach, the researchers give the model examples of real drugs and imposters and teach it to distinguish between them.

The researchers then tested their model by screening a library of about 4,700 candidate drug molecules for their ability to bind to a set of 51 enzymes known as protein kinases.

From the top hits, the researchers chose 19 drug-protein pairs to test experimentally. The experiments revealed that of the 19 hits, 12 had strong binding affinity (in the nanomolar range), whereas nearly all of the many other possible drug-protein pairs would have no affinity. Four of these pairs bound with extremely high, sub-nanomolar affinity (so strong that a tiny drug concentration, on the order of parts per billion, will inhibit the protein).

While the researchers focused mainly on screening small-molecule drugs in this study, they are now working on applying this approach to other types of drugs, such as therapeutic antibodies. This kind of modeling could also prove useful for running toxicity screens of potential drug compounds, to make sure they dont have any unwanted side effects before testing them in animal models.

Part of the reason why drug discovery is so expensive is because it has high failure rates. If we can reduce those failure rates by saying upfront that this drug is not likely to work out, that could go a long way in lowering the cost of drug discovery, Singh says.

This new approach represents a significant breakthrough in drug-target interaction prediction and opens up additional opportunities for future research to further enhance its capabilities, says Eytan Ruppin, chief of the Cancer Data Science Laboratory at the National Cancer Institute, who was not involved in the study. For example, incorporating structural information into the latent space or exploring molecular generation methods for generating decoys could further improve predictions.

Reference: Contrastive learning in protein language space predicts interactions between drugs and protein targets by Rohit Singh, Samuel Sledzieski, Bryan Bryson, Lenore Cowen and Bonnie Berger, 8 June 2023, Proceedings of the National Academy of Sciences.DOI: 10.1073/pnas.2220778120

The research was funded by the National Institutes of Health, the National Science Foundation, and the Phillip and Susan Ragon Foundation.

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JEE Advanced 2023: First ranker V Chidvilas Reddy wants to study Computer Science course at IIT Bombay – Times of India

HYDERABAD

:

from Telangana, who secured the top rank in the IIT entrance exam JEE-Advanced, the results of which were announced on Sunday, said he expected to get a rank in the top 10 and was very happy to clinch All India Rank 1. According to IIT Guwahati, which conducted the Joint Entrance Exam (JEE)-Advanced this year, Reddy secured 341 out of 360 marks.

Reddy hails from Nagarkurnool district of Telangana and his parents are government teachers.

"I am very happy and excited. I had expected that I will be in the top 10 and I got rank one," Reddy told PTI here.

The 17-year-old, who attributed his success to his family, teachers and mentors, said he plans to take

at

and would later like to take up research.

Reddy, who had bagged 15th rank in JEE Mains said, "I like science and maths. Everyone in my family and teachers supported me a lot."

He said his preparation for the exam was good and he stopped playing cricket and also stayed away from social media for the past two years.

"Six months before the JEE, I used to study around eight to 10 hours every day. During the last two months, I studied 11-12 hours daily," he said and added that the success mantra was to stay focused.

"It was a childhood dream to study in IIT and I had decided on myself. The paper was easier this year," said Reddy, who took his coaching from the Sri Chaitanya Institute in Hyderabad.

Reddy's father V Rajeshwar Reddy said his son did not watch movies and his focus was only on studies.

"We used to think about his health. There was never any need for us to tell him to study. He himself used to study. He has been very good in academics right from class one to Intermediate (Class 12) and now we are very happy that he has secured All India Rank one in JEE-Advanced," he said.

Similarly, Nayakanti Naga Bhavya Sree from IIT Hyderabad zone, the topper among females with 298 marks, said her parents were always supportive in every step of this journey and also attributed her success to her faculty members at Narayana Educational Institution.

Bhavya Sree, who hails from Kadapa district of Andhra Pradesh, said, "My parents always used to motivate me whenever I used to feel low. I would like to dedicate my success to my parents, family and faculty".

"I think I could have got a better rank. I expected top 10. I used to study 12-13 hours every day. I plan to take Computer Science in IIT Bombay and later do research in maths. I am interested in maths," she said.

Six among the top 10 rankholders are from IIT Hyderabad zone. The second rank has been bagged by Ramesh Surya Theja (Hyderbad Zone) followed by Rishi Kalra (Roorkee zone).

A total of 1,80,372 appeared in both papers in IIT-JEE Advanced of which 43,773 have qualified. As many as 36,204 male students and 7,509 female students cleared

.

JEE-Main, which is the admission test for engineering colleges across the country, is the qualifying exam for JEE-Advanced. The exam was conducted on June 4.

The Joint Seat Allocation (JoSAA) counselling will begin from Monday.

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Hebrew University confers Honorary Doctorate degree on Professor … – JNS.org

(June 16, 2023 / JNS)

The Hebrew University of Jerusalem (HU) presented world-renowned computer science researcher and co-founder of database theory, Professor Jeffrey D. Ullman, with a prestigious Honorary Doctorate degree during the 86th Board of Governors Meeting on June 12 in Jerusalem.

Professor Ullman, the Stanford W. AschermanProfessor of Computer Science (Emeritus),has been a leader in the database theory field. His highly influential textbooks revolutionized the content of database courses that have educated generations of distinguished computer scientists. Professor Ullman was the Ph.D. advisor for Google Co-Founder Sergey Brin and served on Googles technical advisory board.

He is also a Co-Founder& Chief Executive Officer of Gradiance Corporation, which designs homework and labs that encourage students to learn from their mistakes and complete assignments correctly.

At the ceremony, HU President Professor Asher Cohen conferred upon Professor Ullman the degree of Doctor Philosophiae Honoris Causa, In recognition of his tremendous contributions to the field of computer science, in tribute to his academic achievements, including the prestigious A.M. Turing Award; and with immense gratitude for his and Hollys close friendship with the Hebrew University of Jerusalem, including their support of teaching assistants and an endowed lectureship.

Acknowledging the accolade, Professor Ullman said, I am honored to receive this degree and have been pleased to witness Hebrew Universitys success encouraging researcher cooperation and applying computer science big data and evaluative techniques to new fields of study. This helps break down academic silos, encourages new directions in research, and advances the Hebrew Universitys mission to expand the boundaries of knowledge in service to Israel and the world.

Professor Ullman and his wife, Holly, have been involved with Hebrew University for many years. They have pledged a $1 million gift to the university for the Scharf-Ullman Endowed Lectureship in Data and Computing Research and the Scharf-Ullman Graduate Scholarship Fund for Data and Computing Research. This gift also encourages cooperation between computer scientists and researchers in fields as diverse as medicine, political science, agriculture, and archaeology.

In 2020, he was a co-recipient of the Association of Computing Machinerys A.M. Turing Award, the highest distinction in computer science. It celebrated Professor Ullmans contributions of lasting and major technical importance to computer science.

Other prizes and awards include the Donald E. Knuth Prize, the SIGMOD Edgar F. Codd Innovations Award, and the IEEE John von Neumann Medal. He has received Honorary Doctorates from the Free University of Brussels (1975); the University of Paris-Dauphine (1992); and Ben-Gurion University of the Negev (2016).

Professor Ullman has served on numerous technical and scientific advisory boards, editorial boards, and corporate boards of directors, sharing his expertise with government agencies, commercial companies, and start-ups. He has also contributed to committees at academic and government institutions across the United States, Canada, Israel, Australia, Singapore, and Japan.

He is a member of the American Academy of Arts and Sciences and the National Academy of Engineering and Science and a fellow of the Association for Computing Machinery.

Professor Ullman received a Doctor of Philosophy in Electrical Engineering from Princeton University in 1966 and a Bachelor of Science in Engineering Mathematics from Columbia University in 1963.

He lives with his wife, Holly, in Stanford, California.

About the Hebrew University of Jerusalem

The Hebrew University of Jerusalem is Israels premier academic and research institution. Serving over 23,000 students from 80 countries, the university produces nearly 40% of Israels civilian scientific research and has received over 11,000 patents. Faculty and alumni of the Hebrew University have won eight Nobel Prizes and a Fields Medal. For more information about the Hebrew University, visit: http://new.huji.ac.il/en.

About American Friends of the Hebrew University

American Friends of the Hebrew University (AFHU) is a national, not-for-profit organization based in the United States. AFHU is headquartered in New York and has seven regional offices working in close partnership with the Hebrew University of Jerusalem. AFHU provides supporters, Hebrew University alumni, and the public with stimulating programs and events and organizes missions to Israel. The organizations activities support scholarly and scientific achievement at HU, create scholarships, fund new facilities, and assist the universitys efforts to recruit outstanding new faculty.

For more information, visit http://www.afhu.org.

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CVPR 2023 Best Paper Award Winners Announced – PR Newswire

PAMI-TC Award Recipients Recognized

VANCOUVER, BC, June 21, 2023 /PRNewswire/ -- Today, the 2023 Computer Vision and Pattern Recognition (CVPR) Conference Awards Committee announced the winners of its prestigious Best Paper Awards, which annually recognize top research in computer vision, artificial intelligence (AI), machine learning (ML), augmented and virtual reality (AR/VR), deep learning, and much more.

This year, from more than 9,000 paper submissions, the CVPR 2023 Awards Committee selected 12 candidatesfor the honor of Best Paper, and named the following as this year's winners:

"To realize that these recipients were selected from more than 9,000 potential candidates makes them all the more impactful," saidIEEE Computer Society (CS) President Nita Patel, co-sponsor of CVPR 2023. "Clearly, these awards recognize and honor the groundbreaking work being done in the field of computer vision and pattern recognition, and it's the developments showcased in research like this that will continue to advance and transform our industry."

"We congratulate the 2023 award winners as well as everyone who was considered for this year's prizes," said Ramin Zabih, founder and president, Computer Vision Foundation (CVF), co-sponsor of CVPR 2023. "These awards reflect one of the highest achievements in the field of computer vision. Apart from their clear importance on an individual and organizational level, they also serve the global community by recognizing the best of what computer vision currently has to offer and providing an indication of the exciting advances the future holds."

Additionally, IEEE CS announced the Technical Community on Pattern Analysis and Machine Intelligence (TCPAMI) Awards at this year's conference. The following were recognized for their achievements:

"These awards demonstrate the longevity and impact of CVPR research," shared Patel. "We are proud to recognize these achievements and the continued advancements of the computer vision community."

About CVPR 2023

The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent computer vision event for new research in support of artificial intelligence (AI), machine learning (ML), augmented and virtual reality (AR/VR), deep learning, and much more. Sponsored by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF), CVPR delivers the important advances in all areas of computer vision and pattern recognition and the various fields and industries they impact. With first-in-class technical content, a main program, tutorials, workshops, a leading-edge expo, and attended by more than 10,000 people annually, CVPR creates a one-of-a-kind opportunity for networking, recruiting, inspiration, and motivation.

CVPR 2023 is taking place now through 22 June at the Vancouver Convention Center in Vancouver, Canada, and virtually. For more information about CVPR 2023, the program, and how to participate, visit https://cvpr2023.thecvf.com/.

About the Computer Vision Foundation

The Computer Vision Foundation is a non-profit organization whose purpose is to foster and support research on all aspects of computer vision. Together with the IEEE Computer Society, it co-sponsors the two largest computer vision conferences, CVPR and the International Conference on Computer Vision (ICCV). Visit https://www.thecvf.com/for more information.

About the IEEE Computer Society

Engaging computer engineers, scientists, academia, and industry professionals from all areas of computing, the IEEE Computer Society (CS) sets the standard for the education and engagement that fuels continued global technological advancement. Through conferences, publications, and programs, and by bringing together computer science and engineering leaders at every phase of their career for dialogue, debate, and collaboration, IEEE CS empowers, shapes, and guides the future of not only its members, but the greater industry, enabling new opportunities to better serve our world. Visit computer.orgfor more information.

SOURCE IEEE Computer Society

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Feminists Against the Sexual Revolution – The Atlantic

Updated at 4:05 ET on June 19, 2023.

Was the sexual revolution a mistake? From the 1960s through today, the majority of feminists would instantly answer no. Easier access to contraception, the relaxation of divorce laws, the legalization of abortion, less emphasis on virginity, reduced stigma around unmarried sexall of these have been hailed as liberating for women.

But in the past few years, an emergent strand of feminism has questioned these assumptions. Reactionary feminismthe name was popularized by the British writer Mary Harringtonrests on a premise that sounds far more radical today than it once did: Men and women are different. In her 2022 book, The Case Against the Sexual Revolution, Louise Perry argues that individual physical variation is built upon a biological substrate. Liberal feminists and trans activists may do their best to deny this, but it is still true that only one half of the human race is capable of getting pregnant, andfailing the invention of artificial wombsthis will remain true indefinitely. Perry also argues for evolved psychological differences between the sexes. Men are innately much hornier, more eager for sexual variety, and much less likely to catch feelings from a one-night stand, she believes. Modern hookup culture serves men very well but forces women to deny their natural urges toward seeking commitment, affection, and protection.

These are heretical thoughts. For more than a decade, the dominant form of American feminism has maintained that differences between the sexeswhether in libido, crime rates, or even athletic performancelargely result from female socialization. Anything else is biological essentialism. The feminist scholar Catharine MacKinnon recently declared that she did not want to be part of a movement for female body parts Women are not, in fact, subordinated or oppressed by our bodies. We do not need to be liberated from our chromosomes or our ovaries. This view extends to the assertion that male and female bodies do not differ enough to justify strict sex segregation in sporting competitions or prisons, domestic-violence shelters, and public changing rooms. Recently, a reporter asked the White House press secretary, Karine Jean-Pierre, for a response to parents who worry about the safety of daughters competing in sports against genetically male athletes. Jean-Pierre responded with a terse smackdown. The reporters question, Jean-Pierre said, implied that transgender kids are dangerous and was therefore itself dangerous.

The reactionary feminists have no patience for this line of argument. In her new book, Feminism Against Progress, Harrington writes that the internet has encouraged us to think of ourselves as a Meat Lego, hunks of flesh that can be molded however we want. For women, that involves suppressing the messy biological reality of the female bodytaking birth control, having consequence-free casual sex, even outsourcing pregnanciesto achieve something that might look like equality but is really just pretending to be a man. Realizing my body isnt something Im in but something I am is the heart of the case for reactionary feminism, she writes.

Reactionary feminism is having a moment. Harrington recently toured the United States, where Feminism Against Progress was plugged in The Free Press, the heterodox equivalent of a glowing New York Times review. At the recent National Conservative conference in London, she shared the stage with Perry, whose book covers similar themes. Another NatCon speaker was Nina Power, a former leftist who is now a senior editor at Compact, an online magazine whose editors declare that they oppose liberalism in part because we seek a society more tolerant of human difference and human frailty.

Helen Lewis: Why so many conservatives feel like losers

All three women are Britishwhich is no coincidence. In Britain, where I live, feminism has developed around the assumption that women belong to a sex class with specific physical vulnerabilities. In America, the movement has been filtered through a progressive legal tradition of outlawing discrimination against a variety of marginalized groups, and because of the decades-long abortion fight, American feminism relies heavily on the concepts of choice and bodily autonomy. In the view of many mainstream U.S. feminist writers, Britain is TERF Island, a blasted heath of middle-class matrons radicalized by the parenting forum Mumsnet into conservatism and weaponized white femininity. The response of some British feminists is that, in practice, the agenda of mainstream American feminism has shriveled down to the abortion fight and corporate-empowerment platitudes, and is hamstrung by its strange refusal to accept the relevance of biology.

That said, Harrington was radicalized by Mumsnet, which she started reading more than a decade ago. At the time, I was still a fully paid up Butlerite, she told me in clipped English tones. She was referring to Judith Butler, the high priest of queer theory, which argues for the subversion of categories and norms. In her 20s, Harrington hung out in bohemian communities online and offline, and sometimes went by the name Sebastian. My first glimmers of ambivalence about queer theory, Harrington said, were when I realized that pretty much every butch woman Id ever dated had subsequently transitioned, and now thought of themselves as a man. As a married mother of one, living in a small town, she went on Mumsnet and met other women who shared her ambivalence about the new ideology around gender.

Both Power and Perry had similar experiences that peeled them away from the progressive consensus. Perrys was in the early days of motherhood, realizing her deep connection with her babyand her economic dependence on her husband. Power, a scholar of Marxist and continental philosophy, told me that her apostasy was driven by a general frustration with the progressive movement. Its just gone mad.

Inevitably, reactionary feminisms focus on sex differences has been welcomed by many on the political rightwho enjoy portraying liberals as reality deniers and themselves as no-nonsense realists. It has also been welcomed by the manosphere, that loose collection of blogs and YouTube channels whose content melds positive advice and help for men with anti-feminism and misogyny. Perry has appeared on podcasts with Jordan Peterson and Rod Dreher; Harringtons American publisher is Regnery, the conservative imprint whose top authors include Ann Coulter and Republican Senator Josh Hawley. I walk a very strange line, Harrington told me. The best engagement I get is when my work hits a sweet spot between conservative Catholics, radical feminists, and the weird online right. Thats not a Venn diagram that I really thought existed, but apparently its an underserved niche.

Helen Lewis: The abortion debate is suddenly about people not women

In her advocacy for marriage and opposition to the birth-control pill, Harrington finds fans among religious conservatives. In her opposition to commercial surrogacy, the sex trade, and gender self-identification, she is aligned with radical feminists. And in her language and arguments, you can see the influence of internet micro-celebrities such as the pseudonymous author Bronze Age Pervert, whose self-published manifesto warned that modern society was replacing masculine strength with phalanxes of weedy bugmen. (His book became briefly popular with junior staffers in the Trump administration.)

Reactionary feminists and the manosphere like to cast liberal feminists as daydreaming utopians. Both groups argue that, look, men are men and women are women, and evolution ordained it so. Yes, they say, a small percentage of people are gay or gender-nonconforming, but that doesnt change an overall picture shaped by millennia of sexual selection. Both groups invoke evolutionary psychology to explain their conclusions on female dating preferences, the reasons men cheat, and why so-called short kings struggle in the dating market.

I asked Stuart Ritchie, an academic psychologist turned science writer who has previously criticized the evidence base for Perrys claims on porn use causing erectile dysfunction, if he finds this pop-science approach troublesome. He told me via email that evolutionary psychologists stress that their findings merely describe reality, rather than morally endorsing the effects of natural selectionwhats known as the naturalistic fallacy. Both reactionary feminists and manosphere red-pillers are often committing exactly this fallacy, assuming that everything natural must be good, and that things that are more prevalent in the modern world [than in the past]contraception, divorce, surrogacy, etcmust therefore be bad, he added. Thats not necessarily to defend any of those modern things, but just to say that the arguments used against them are often very weak and fallaciousand that might be the main overarching thing reactionary feminism and the manosphere have in common.

Because it argues that men and women are fundamentally different in ways shaped by millennia of evolution, reactionary feminism is deeply fatalistic about the possibility of social change. (Political horndogs will always abuse power, claims the subhead of a recent Harrington article.) In Perrys book, her belief, derived from evolutionary psychology, that men are uncontrollable sex beasts sits uneasily alongside the assertion that monogamous marriage and children are the optimum conditions for female flourishing. Her core message seems to be simultaneously that men are usually ghastly and often potential rapists, and yet that women should also try very hard to marry one and never divorce him, the British journalist Hugo Rifkind wrote after reading it. Which, I must admit, I found a little unsatisfactory.

When I asked Harrington how Americans had received her book, she said that Baby Boomers had been more defensive of the post-1960s ethos than younger generations have been. Many Gen Z and Millennial women are disillusioned with the modern sexual marketplace of abundant porn, dating apps, and unfulfilling hookups: In 2021, Billie Eilish told Howard Stern that shed started watching porn at age 11, and it destroyed my brain. In the novels of Sally Rooney, sadomasochism is repeatedly presented as abusive and miserable rather than kinky and funmuch to the chagrin of sex positive feminists. In The Right to Sex, the ultraliberal Oxford philosopher Amia Srinivasan describes being challenged by her own students over what they see as her complacency about violent and misogynist porn. The widespread discontent felt by young people has led to unexpected collisions, such as the Washington Post columnist Christine Emba being interviewed by Church Times, a religious magazine, about her book-length critique of consent-only culture, Rethinking Sex: A Provocation. Generation Z might not all agree that New Yorks Hottest Club Is the Catholic Church, as a New York Times trend piece put it, but they arent all libertines either.

Reactionary feminists take these concerns to their logical end. Louise Perrys book begins by imagining the grave of the Playboy founder Hugh Hefner, who asked to be buried next to Marilyn Monroe. The sexual revolution worked out well for Hefner, she argueshe gained a house full of playmates and built an empire on female flesh bared in the name of empowerment. But for Monroe, being the sexiest woman alive brought mostly misery, including a string of men who wanted to bed her for the bragging rights. There is never a reckoning with what sexual liberation does to those women who follow its directives most obediently, Perry writes.

From the September 2021 issue: Sally Rooney addresses her critics

Reactionary feminism also lionizes motherhood with a zeal that, in the case of Perry and Harrington, feels very personal. Perry wrote her book while pregnant, and Harrington wishes she could have had more than one child. I came to motherhood pretty late, and I wish Id started sooner, Harrington told me. Thats an ongoing source of regret for me. Power, who does not have children, is nonetheless sympathetic to the other two womens pro-family stance. Ive spoken to people in their 30s who desperately want to have a family and cant, she told me. Theres something tragic about women who want to have a child but miss the moment. Louise is saying: Be realistic. Think about it sooner than later.

Unfortunately, these paeans to the nuclear family sound judgmental, no matter how many times the reactionaries insist that they arent demonizing gay couples, single parents, and people without childrennot least because they hand ammunition to anti-feminists who really do want women barefoot and pregnant.

Harringtons jeremiad against the pill is the kookiest part of Feminism Against Progress. Put simply, she thinks sex is hotter when it might lead to conception, because a woman who refuses birth control will be highly motivated to be choosy about her partners. She lost me with the assertion that the rhythm method is freakier than BDSM because its sex with the real danger left in. And theres more: In a lifelong partnership, the possibility of conception itself is deeply erotic. If theres anything less sexy than imagining that your future child will soon be in the room with you, I dont want to hear it.

While Perrys book specifically castigates those conservatives who are silly enough to think that returning to the 1950s is either possible or desirable, renouncing effective birth control would immiserate many women and imprison some in abusive relationships. The pills reported downsides, such as irritability and anxiety, also have to be weighed against the toll that decades of childbearing took on previous generations, both physically and economically. While researching my 2020 history of feminism, Difficult Women, I found wrenching letters that the contraceptive pioneer Marie Stopes had received, and I told Harrington about some of them. I have a very Weak Heart if I have any more it might prove fatal my inside is quite exausted [sic] I have a Prolapsed Womb, it is wicked to bring children into the world to Practicly [sic] starve, read one from a 37-year-old mother of nine children. Another woman wrote: He says if you wont let me at the front, I will at the back. I dont care which way it is so long as I get satisfied. Well Madam this is very painful to me, also I have wondered if it might be injurious.

Is that a world to which any woman would want to return? You can be sure that Stopes would have selected them to underline the point she wanted to make, Harrington told me. And the demographic that would have been writing to Stopes would have been self-selecting, for the reasons you would expect.

Again and again, reactionary feminism offers a useful corrective and then goes to the edge of overkill. For example, its proponents argue for the revival of mens single-sex spaces: sports clubs, bars, voluntary associations. This sounds unobjectionable, but could bring back the Mad Men days, when deals were sealed at the golf club or the strip club or a weird elitist retreat with a 40-foot owl. But Louise Perry takes the idea further by arguing that women should never get drunk or high in public or in mixed company, because of the risk of sexual assault. She thinks this is pragmatic; I find it incredibly bleak. As I told her during an interview about her book, I dont want to live in a voluntary Saudi Arabia.

Reactionary feminism is not the dominant strain in Britain, any more than its opposite (what Harrington calls Verso feminism, after the radical-left publisher) is. Most British feminists, as far as I can tell, are centrists and soft-left moderates, the heirs of a tradition that developed in tandem with labor unions, placing hard constraints on both its conservatism and radicalism. The movement has stayed grounded in material conditions arising from physical sex differencesthe challenges of pregnancy and motherhood, the threat of violence by bigger and stronger males. In the absence of a strong religious right and red-state governors banning abortion and passing punitive bills on LGBTQ issues, the gender debate is not so polarized here, and feminist thinkers and LGBTQ activists have more space to acknowledge that their interests are not always identical.

Read: The unending assaults on girlhood

Because of fears of being tarred as fascists or bigots, some American feminists refuse to even engage with any reactionary-feminist arguments. That is a shame, because the movements final tenetthat the unfettered free market should be kept away from bodies, particularly female onesis one you might expect the political left to embrace. Reactionary feminism offers pungent criticism of liberal choice feminism and its laissez-faire attitude to the exploitation of women who have ostensibly chosen their circumstances. The reactionaries dare to say that some choices are better than others, and that being offered two bad options is no choice at all.

Many liberals support commercial surrogacy: Let women do what they want with their bodies, the argument goes. The reactionaries, meanwhile, reply that the industry is driven by inequality: Rich couples open their wallets, and poor women provide the labor. (They also argue that separating a newborn from its mother is cruel unless absolutely necessary.) Similarly, they note that the shibboleth that sex work is work is complicated by the fact that rich men buy sex, and poorer women (and men) sell it. Harrington sees trans medical care, too, as unhappily consumeristan empowerment movement acting as a sales rep for Big Pharma. She also believes that feminists who advocate for government-supported day caredownplaying the importance of maternal attachment to small babies, in her vieware useful idiots for corporations who want women back at their desks.

There are a great many conservatives who havent noticed quite how much Marxism Ive smuggled in, Harrington says. Dont put that in The Atlantic. Then she relents: Reactionary feminism was coined half as a joketurning an insult into a badge of honorand half as a signal scrambler. If it isnt provoking you, then it hasnt worked.

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In a first, JWST detected starlight from distant galaxies with quasars – Science News Magazine

CAMBRIDGE, MASS. For the first time, astronomers have detected starlight from distant galaxies that host extremely bright supermassive black holes called quasars.

Data from the James Webb Space Telescope reveal that four of these galaxies are massive, compact and possibly disk-shaped, astronomers report June 12 at the JWST First Light meeting. Studying the galaxies could help solve the mystery of how black holes in the early universe grew so big so fast (SN: 1/18/21).

Ever since the discovery of [distant] quasars, there have been studies trying to detect their host galaxies, said MIT astrophysicist Minghao Yue. But until JWSTs sharp infrared eyes came along, it wasnt possible. This opens up brand new windows towards finally understanding luminous quasars and their host galaxies.

Quasars are black holes that are feeding so furiously, the material they gobble heats to white-hot temperatures, shining brighter than the stars in the galaxy around them. Theyre so bright and distant that each appears as a single, starlike point of light.

Two independent groups used that starlike quality to erase the black hole glow from images of their galaxies, like a sculptor coaxing a figure out of marble.

Yue and colleagues used JWST to observe six quasar-hosting galaxies. Around the same time, astrophysicist Xuheng Ding of the Kavli Institute for the Physics and Mathematics of the Universe in Tokyo and colleagues used JWST to look at another pair of quasars. The light from all the quasars was emitted more than 12.8 billion years ago, or less than a billion years after the Big Bang.

The teams used actual stars in the images to simulate the starlike shapes of the quasars. Then they subtracted the simulated quasar from the image of each whole galaxy, and voil: Only starlight remained.

Dings team got a direct peek at both of their galaxies, while Yues team glimpsed two of their six. All the measured galaxies appear to be less than a tenth as wide as the Milky Way, measuring between 2,600 and 8,000 light-years across. The two galaxies that Yue and colleagues observed contain enough stars to make up between 10 billion and 100 billion times the mass of the sun, the researchers estimate. The pair that Ding and colleagues looked at weigh in at about 25 billion and 63 billion solar masses, the team reported at the meeting and in a study to appear in Nature.

Those masses are comparable to that of all the stars in the Milky Way, which in total add up to roughly 60 billion times the mass of the sun. Thats surprisingly massive for so early in the universes history.

Whats more, the galaxies seem to break a rule set by observations of galaxies in the nearby universe. Locally, galaxies tend to split their mass between stars and black holes in a predictable way: The more massive its central supermassive black hole, the more stars a galaxy has. These galaxies appear to pack more mass into their black hole than their amount of stars should allow.

At least for these luminous quasars, they really are over-massive, Yue said.

The mass calculations might prove to be overestimates, says astrophysicist Paul Shapiro of the University of Texas at Austin who was not involved in either study. Converting the light that JWST can see into stars rests on assumptions about how many stars of various masses a galaxy has. Modern galaxies have a lot more dim, lightweight stars than bright, hefty ones, so astronomers typically assume that the brightest stars they see are just the tip of the iceberg. But that might not have been the case 800 million years after the Big Bang, Shapiro says.

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Youre observing the tail and inferring the dog, he says. If there were a mass distribution that favors high-mass stars, you could be significantly overestimating the mass associated with the light.

But the fact that we can see it at all is very exciting, says astronomer Madeline Marshall of the National Research Council Canada in Victoria. The fact that two groups are reporting starlight from quasar hosts independently is very convincing, she says.

Pre-JWST, we could not detect host galaxies of [distant] quasars, she said at the meeting. Now, with only the first year of observations we can actually detect some of these hosts for the first time.

These first few quasar hosts are just the beginning, Ding says. JWST is scheduled to observe at least 10 more, some of which are even farther away. A larger sample will help astronomers figure out enduring cosmic riddles about how black holes and galaxies influence each other as they grow.

We dont know how black holes can be so big in the early universe, Ding says. You need to understand the environment of this monster, how it can collect so much matter to it. So knowing the conditions the mass of the host galaxies, for example at least then you can say how their local environment is.

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