Results 131 to 140 of about 4,091 (207)

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

Navigating barriers and enablers to academic success for students with disabilities at the University of Gondar, Ethiopia: A participatory action research approach. [PDF]

Afr J Disabil
Adugna MB, Tedla TA, Jemal MW, Tadese GG, Araya BM, Mengistie MM, Abera BY, Guadie T, Abate RA, Mengistu YA, Mekuanint HA, Kassa S, Coderre-Ball A, Robertson M, Egan R.   +14 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Embracing the Value of <i>Amanah</i>: A Guiding Principle for Medical School Academicians. [PDF]

Malays J Med Sci
Baharuddin KA, Mohamad I, Ab Razak A, Wan Hassan WMN, Daud A, Nik Lah NAZ, Awg Mat SM.   +6 more
europepmc   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

Advanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi, Matthias Arenz, Vladislav A. Mints   +2 more
wiley   +1 more source

Unveiling chemical industry secrets: Insights gleaned from scientific literatures that examine internal chemical corporate documents-A scoping review. [PDF]

PLoS One
Dong M, Gagnon MA.
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

Family planning self-care: From global frameworks to local meaning, perceptions, experiences and opportunities in Niger. [PDF]

PLOS Glob Public Health
Fotso JC, Togo E, Bidashimwa D, Adje OE, Moumouni NA.   +4 more
europepmc   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Beyond deficit and coexistence: Modeling the knowledge-conspiracy-mistrust configuration in public understanding of science. [PDF]

PLoS One
Süerdem A, Zdravkov S, Ivanov MJ.
europepmc   +1 more source