Results 61 to 70 of about 4,961 (191)

Artificial Intelligence in Neonatal Care: The Breadth of Promise, the Depth of Challenge—An Overview

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Artificial intelligence (AI) is becoming an integral tool in clinical care. The recent position statement by the Royal Australasian College of Physicians (RACP) provides a timely practical blueprint on implementing and monitoring the use of AI in clinical practice.
N. M. Lai, K. T. Yeo, J. Y. Kong, M. E. Abdel‐Latif   +3 more
wiley   +1 more source

Spaceborne and spaceborn: Physiological aspects of pregnancy and birth during interplanetary flight

Experimental Physiology, EarlyView.
Abstract Crewed interplanetary return missions that are on the planning horizon will take years, more than enough time for initiation and completion of a pregnancy. Pregnancy is viewed as a sequence of processes – fertilization, blastocyst formation, implantation, gastrulation, placentation, organogenesis, gross morphogenesis, birth and neonatal ...
Arun V. Holden
wiley   +1 more source

Prediction in Photovoltaic Power by Neural Networks

Energies, 2017
The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Antonello Rosato, Rosa Altilio, Rodolfo Araneo, Massimo Panella   +3 more
doaj   +1 more source

Exploring Human‐LLM Collaboration for Creativity Through the Lens of Concepts

The Journal of Creative Behavior, Volume 60, Issue 3, September 2026.
ABSTRACT We conducted a theoretical exploration into how human‐LLM collaboration can facilitate the emergence of creativity through the lens of concepts—a notion that is central in the philosophical discussions regarding human knowledge creation. Kant considers concepts to be an epistemological tool that transforms people's perceptual, intuitive ...
Honghong Bai, Peng Cheng, Jingyi Duan, Kaiping Peng, Song Tong   +4 more
wiley   +1 more source

Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters

Mathematical and Computational Applications
This work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF).
Esvan-Jesús Pérez-Pérez, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, Ildeberto Santos-Ruiz   +4 more
doaj   +1 more source

Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System

JITeCS (Journal of Information Technology and Computer Science), 2017
Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro ...
Gusti Ahmad Fanshuri Alfarisy, Wayan Firdaus Mahmudy   +1 more
doaj   +1 more source

Is Aripiprazole an Effective Adjunct to Reduce Metabolic Adverse Effects Caused by Clozapine in Patients With Schizophrenia—A Systematic Review

Neuropsychopharmacology Reports, Volume 46, Issue 3, September 2026.
Adjunctive aripiprazole may provide modest improvements in lipid parameters and body weight in clozapine‐treated patients with schizophrenia, but evidence for glucose and waist circumference outcomes remains limited. Larger, long‐term randomized controlled trials are needed.
Avtaar Singh, Soban Sadiq
wiley   +1 more source

A Novel Nogo‐A Receptor Antagonist Peptide Impedes Alzheimer's Disease Pathology by Nogo‐A/NgR/ROCK Signaling Pathway

CNS Neuroscience &Therapeutics, Volume 32, Issue 8, August 2026.
NAP2, a NgR1 antagonist peptide, improved cognition in APP/PS1 mice, reduced Aβ plaques and tau hyperphosphorylation, increased dendritic spine density, and alleviated mitochondrial damage, acting through inhibition of the Nogo‐A/NgR/ROCK pathway, highlighting its therapeutic potential for Alzheimer's disease.
Zheng Zhang, Huimin Tan, Fang Shi, Jiajia Dai, Weilong Ding, Junliang Li, Yuke Wang, Rui Yang, Xinke Xu, Cheng Chen, Fei Xiao, Li‐an Huang, Xiaoyan Liu, Rui Liao, Li Yan   +14 more
wiley   +1 more source

Categorical Boosting‐PSO: A SHAP‐Interpretable Hybrid Framework for High‐Fidelity Wax Appearance Temperature Prediction in Subsea Pipelines

Engineering Reports, Volume 8, Issue 8, August 2026.
CatBoost–PSO accurately predicts wax appearance temperature from oil density, wax content, and pour point temperature, achieving R2 = 0.9760 and RMSE = 1.8106 K. External validation, SHAP interpretation, and low computational cost support rapid wax‐risk screening for subsea pipeline flow assurance.
H. M. Rayhan Rifat, Abdullah Abduljabbar, Mysara Eissa Mohyaldinna   +2 more
wiley   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4724-4738, 10 August 2026.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source