Results 201 to 210 of about 510,235 (277)

Artificial intelligence‐driven bioinformatics: From analytical pipelines to model‐centered biological discovery

open access: yesiMetaOmics, EarlyView.
AI‐driven bioinformatics is best viewed as an emerging model‐centered discovery framework in which learned representations increasingly support prediction, intervention design, and workflow orchestration, while classical pipelines remain essential for validation and reproducibility.
Songming Chen   +10 more
wiley   +1 more source

Deliberate Practice Supervision to Enhance the Effectiveness of Behavioral Activation for Depression: A Case Study

open access: yesJournal of Clinical Psychology, Volume 81, Issue 6, Page 526-537, June 2025.
ABSTRACT Deliberate Practice (DP) is a model of behavioral skill acquisition structured by several key tasks. The past decade has shown a consistent growth in interest in this form of learning for psychotherapy skills, with promising research suggesting DP training is superior to traditional learning methods of psychotherapy. This paper presents a case
Dan Sacks
wiley   +1 more source

Comparison of Continuous‐Time Random Walk and Fractional Order Calculus Diffusion Models for Preoperative Breast Lesion Characterization: Diagnosis, Biomarker Prediction and Molecular Subtyping

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Accurate preoperative characterization of breast lesions is important for individualized management. The conventional monoexponential (Mono) model has limited ability to capture the complex microstructure of lesions. Non‐Gaussian diffusion models, including continuous‐time random walk (CTRW) and fractional‐order calculus (FROC), may
Yimeng Cao   +10 more
wiley   +1 more source

Avoiding “Failure of Foresight” or Tunnel Vision Requires a Multi‐Paradigmatic Strategic Decision‐Making Approach

open access: yesStrategic Change, EarlyView.
ABSTRACT This paper considers the tensions between different organizational strategic decision‐making approaches at various levels of uncertainty. Of particular focus are the mechanisms for defaulting to lower uncertainty, from the Cynefin framework's unordered chaotic and complex domains to the more ordered complicated and obvious domains.
Richard J. Logan   +3 more
wiley   +1 more source

PVmatAgent: A Large Language Model (LLM) Agent for Perovskite Photovoltaic Material Design and Analysis

open access: yesMaterials Genome Engineering Advances, EarlyView.
PVmatAgent, an LLM‐based autonomous agent integrating 13 domain‐specific tools, executes the complete photovoltaic materials discovery pipeline (from literature retrieval and crystal structure generation to efficiency prediction and commercial assessment), while preventing hallucination via an enforced output parser.
Hangyuan Deng   +3 more
wiley   +1 more source

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