Results 211 to 220 of about 114,884 (315)

Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool. [PDF]

BMJ Health Care Inform
Chan D, Chua MC, Hadimaja M, Mukherjee S, Wong J, Yap F.   +5 more
europepmc   +1 more source

Cup Deep Drawing Simulation of Commercially Pure Titanium for Varying‐Shoulder‐Radius Die Using Finite Element Method and Non‐associated Flow Rule

steel research international, Volume 97, Issue 2, Page 827-837, February 2026.
Finite element simulations of deep drawing of commercially pure titanium sheets using single‐radius and varying‐shoulder‐radius dies are conducted. Two types of nonassociated flow rules are applied, and the results are verified by comparing them with the experimental results.
Yuji Sato, Shogo Nishioka, Yutaro Akiguchi, Honghao Wang, Jun Yanagimoto   +4 more
wiley   +1 more source

Solubility of Glibenclamide in supercritical solvent versus pressure and temperature via development of machine learning and rain optimization algorithm. [PDF]

Sci Rep
Alotaibi HF, Hsu CY, Sead FF, Yadav A, Jyothi SR, Mishra S, Purohit B, Ashirova A, Eshchanov T, Chauhan AS.   +9 more
europepmc   +1 more source

Integrating Urban Expansion and Flood Risk: A Spatial Assessment of Impervious Surface Growth and Floodplain Exposure in Mecklenburg County (2011–2021)

World Water Policy, Volume 12, Issue 1, February 2026.
ABSTRACT Urban expansion significantly impacts flood risk, particularly in rapidly growing areas where impervious surfaces exacerbate surface runoff. This study examines spatial patterns of urban growth and their effects on flood exposure in Mecklenburg County, North Carolina, from 2011 to 2021.
Pegah Madadi, Azad Sadeghi
wiley   +1 more source

Predicting the demand of elderly care beds by a novel recursive grey Gompertz model: case studies of Jiangsu and Shanghai, China. [PDF]

BMC Geriatr
Guo X, Wang Y, Zhu X, Wu Y, Yang Y, Jin J.   +5 more
europepmc   +1 more source

An Earth System Model Ensemble Forced With Probabilistic Emissions: Demonstration and Prospects for Climate Risk Assessment

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Future projections of climate change are uncertain, in part because of uncertainty in future greenhouse gas emissions. However, current widely used emission scenarios and related physical climate projections have no probabilities associated with them, presenting a challenge for risk‐informed climate adaptation decision making.
Jeremy Fyke, Neil C. Swart, David Huard
wiley   +1 more source

Mapping area of habitat for inland wetland species

Conservation Biology, Volume 40, Issue 1, February 2026.
Abstract Area of habitat (AOH) maps provide a high‐resolution representation of the habitat available in a species’ range and can support conservation policy and planning processes. However, until recently, there was insufficient knowledge on the distribution of inland wetlands and freshwater biodiversity to develop AOH mapping methods specifically ...
Francesca A. Ridley, Catherine A. Sayer, Louise Mair, Daniele Baisero, Monika Böhm, Thomas M. Brooks, Stuart H. M. Butchart, Viola Clausnitzer, Jeorg Freyhof, Günther Grill, Ian Harrison, Randall R. Jiménez, Bernhard Lehner, Nicholas B. W. Macfarlane, Andrew J. Plumptre, Arnout van Soesbergen, Thomas A. Worthington, Thomas Starnes   +17 more
wiley   +1 more source

Machine Learning-Based Prediction of Early Left Ventricular Function After STEMI. [PDF]

J Clin Med
Zheng SF, Diegruber K, Esser D, Vieluf S, Stremmel C.   +4 more
europepmc   +1 more source

A Data‐Driven Quest for Room‐Temperature Bulk Plastically Deformable Ceramics

Journal of the American Ceramic Society, Volume 109, Issue 2, February 2026.
(1) This study presents the first systematic data‐driven analysis of key parameters governing room‐temperature bulk plasticity in ceramics employing a fuzzy inference model. (2) By integrating elastic, structural, and electronic descriptors, it constructs a multiscale parameter space bridging the gap between empirical ductility criteria and atomistic ...
Iwo Słodczyk, Alexander Frisch, Xufei Fang, Inna Gitman, Fengxian Liu   +4 more
wiley   +1 more source

A machine learning framework for long-term forecasting of spare part demand in end-of-life product scenarios. [PDF]

Sci Rep
B SN, Reddy BVS, Sujan VSS, Sastry CC, Krishnaiah J, Jitpichitchai S.   +5 more
europepmc   +1 more source