Results 101 to 110 of about 56,882 (256)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

MDG 3 and the negotiation of gender in international education organisations [PDF]

, 2010
Aikman S., Amy North, Antrobus P., Fennell S., Kabeer N., Little A.W., Mukhopadhyay M., North A., Rai S., Sivasubramaniam M., Skelton C., Standing H., Subrahmanian R., Tinker I., Unterhalter E., Unterhalter E., Unterhalter E., Woodford‐Berger P.   +17 more
core   +4 more sources

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Judicial Independence and Democratic Accountability in Highest State Courts [PDF]

, 1998
Carrington notes that because judges in trial and intermediate courts are accountable to highest courts, it is the latter that are responsible for keeping the faith with democratic ...
Carrington, Paul D.
core   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

A community‐driven approach to address substance use and create a Great Plains American Indian addiction and recovery research agenda

American Journal of Community Psychology, EarlyView.
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger, Anna Kihlström, Brinda Sivaramakrishnan, Allison Kelliher, Frankie Kropp, Carmen Rosa, T. John Winhusen, Donald Warne, the CTN0129 participating Tribal communities   +8 more
wiley   +1 more source

‘People Need to Understand That They Are Stealing From Their Neighbours’: A Critical Media Analysis of the Representations and Resistance Throughout the Robodebt Scheme

Australian Journal of Social Issues, EarlyView.
ABSTRACT The Robodebt scheme issued thousand‐dollar debts to an estimated half a million people who had received social security. The debts were largely inaccurate and illegal, with the aim of improving the federal government's budget. The 2023 Royal Commission into the Robodebt Scheme found that the stigmatising political and public language about ...
Ella Kruger, Phillipa Evans
wiley   +1 more source

Building Community Amidst the Institutional Whiteness of Graduate Study: Black Joy and Maroon Moves in an Academic Marronage

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article reflects on the construction of a supportive community of Black Afro‐diasporic graduate students and their supervisors researching issues relating to race in the field of education in Australia. It draws on the concept of marronage—a term rooted in the fugitive act of becoming a maroon, where enslaved people enacted an escape in ...
Hellen Magoi, Casianus Gemoh, Denise Chapman, Edmund Hypolite, Simon Angok, Melanie Baak, Joel Windle   +6 more
wiley   +1 more source