Results 251 to 260 of about 64,613,075 (301)

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Identifying research priorities in adult intensive care in the United Kingdom: Results from a James Lind Alliance priority setting partnership. [PDF]

J Intensive Care Soc
Rose L, Wallace S, Abdillahi A, Borysik B, Bruce J, Burgess S, Crawford A, Gronlund T, Jarvis J, Jones J, Lacorcia L, Leighton S, Linstead G, Mach M, Negus-Fancey M, Newton-Smith S, Norman S, Ostermann M, Peng Y, Ramsay P, Sapsford D, Sharkey B, Tarpey M, Wade D, Watson J, Summers C.   +25 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

More than Rehabilitation: The Role of Contextual Factors in Pain Perception and Recovery: What the Physiotherapy Literature Reports-A Narrative Review with a Systematic Search Strategy. [PDF]

J Clin Med
Leonardi G, Bonanno F, Alito A, Cucinotta F, Lombardo C, Di Dio A, Sposito F, Cucinotta C, Garofalo A, Portaro S.   +9 more
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

Firm turnover under asymmetric information: Tanzania's agro‐dealer sector

American Journal of Agricultural Economics, EarlyView.
Abstract We study firm turnover (i.e., entry and exit) and its consumer implications in a market characterized by asymmetric information. Using a three‐round census of agro‐dealers in Tanzania's Morogoro Region, we document annual firm entry and exit rates of 33% and 17%, respectively.
Alix Naugler, Hope Michelson, Sarah Janzen, Christopher Magomba   +3 more
wiley   +1 more source

The School-age Asthma Prognosis Score (SAPS): development and external validation in two European cohorts

Makhoul R, Goutaki M, Romero F, Sasaki M, Hansen G, Heer P, Kopp MV, Latzin P, Regamey N, Schaub B, Seidl E, Spycher BD, Kuehni CE.   +12 more
europepmc   +1 more source

Therapeutic alliance in intensive PTSD treatment with a therapist rotation model. [PDF]

Eur J Psychotraumatol
Hoogeveen M, De Jongh A, Matthijssen SJMA, Voorendonk EM.   +3 more
europepmc   +1 more source