Results 81 to 90 of about 754 (214)

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Secrecy Performance Analysis of Energy Harvesting Untrusted Relay Networks with Hardware Impairments

International Journal of Distributed Sensor Networks
In this work, we focus on the issue of secure communication in energy harvesting untrusted relay networks taking into account the impact of hardware impairments, where an energy-constrained relay, powered by received radio frequency signals, attempts to ...
Dechuan Chen, Jin Li, Jianwei Hu, Xingang Zhang, Shuai Zhang, Dong Wang   +5 more
doaj   +1 more source

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

Advanced 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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

The International Consortium for Arthrogryposis: A Collaborative Framework for Early Detection, Care, Research, and Education

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Arthrogryposis multiplex congenita (AMC) is a group of rare congenital conditions, characterized by multiple joint contractures but may involve any body system including central nervous system. AMC is etiologically heterogeneous, with over 400 genetic and many non‐genetic causes implicated in its prenatal development.
Shahrzad Nematollahi, Noa Bouzaglo, Victoria Castillo Sanchez, Johanna I. P. de‐Vries, Klaus Dieterich, Alicja Fafara, Isabel Filges, Philip Giampietro, Göknur Haliloğlu, Judith Hall, Coleman Hilton, Remco Jansen, Valentina Maestri, Carolina Navalon, Daniel Natera de Benito, Tony Pan, Ani Samargian, Bonita Sawatzky, Harold van Bosse, Paul A. Trainor, Noémi Dahan‐Oliel   +20 more
wiley   +1 more source

Co‐Occurring Non‐Cardiac Congenital Anomalies Among Cases With Congenital Heart Defects

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Cases with congenital heart defects (CHD) often have other associated anomalies. The aim of this investigation was to assess the prevalence and the types of co‐occurring anomalies in CHD in a well‐defined population. The anomalies co‐occurring with CHD were ascertained in all live births, stillbirths and terminations of pregnancy for fetal ...
Claude Stoll, Yves Alembik, Marie‐Paule Roth   +2 more
wiley   +1 more source

How Are Australian Local Governments Responding to the Homelessness Crisis? Findings From a National Study

Australian Journal of Social Issues, EarlyView.
ABSTRACT Australian local governments are facing intensifying pressures to respond to worsening visible homelessness. This paper presents one of the first national studies on how local governments are responding to these pressures, and the first since the onset of the post‐pandemic housing crisis.
Andrew Clarke, Joelle Moore, Fatemeh Aminpour, Katya Eagles   +3 more
wiley   +1 more source

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source