Results 71 to 80 of about 47,028 (257)

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Editorial: Global excellence in molecular immunology and therapeutics: Africa 2021

open access: yesFrontiers in Immunology, 2023
Tarek A. Ahmad, Yusuf O. Omosun
doaj   +1 more source

Towards a transformed library and information sector in South Africa: rethinking roles

open access: yesSouth African Journal of Libraries and Information Science, 2009
The paper examines the current state of libraries in South Africa. It draws on the state’s role in the provision of library services since South Africa became a democracy in 1994.
Gavin Davis
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Library Sector Leadership: Bridging Theory and Practice [PDF]

open access: yes, 2011
Explore the issue of leadership in libraries with one current student and one graduate of The University of Victoria's Professional Graduate Certificate in Library Sector Leadership. Looking specifically at Kouzes and Posner's 'Five Practices of Exemplary Leaders' and Quinn et al.'s 'Competing Values Framework', we hope to share our own discoveries
Mills, Melanie, Innerd, Charlotte
openaire   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

BIBLIOGRAPHERS IN THE CONTEXT OF THE SCIENTIFIC APPEARANCE OF SCIENTIFIC LIBRARY OF THE ODESSA I. I. MECHNIKOV NATIONAL UNIVERSITY: PURPOSES, TASKS, INNOVATIONS

open access: yesVìsnik Odesʹkogo Nacìonalʹnogo Unìversitetu: Bìblìotekoznavstvo, Bìblìografoznavstvo, Knigoznavstvo, 2016
The purpose of our article is the description of activity of scientific-editorial sector of information-bibliographic department of Scientific Library of the Odessa I. I. Mechnikov National University.
В. В. Самодурова
doaj  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

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