Results 151 to 160 of about 2,234,265 (385)

The Effects of Zingiber officinal R. on Primary Dysmenorrhea

Journal of Medicinal Plants, 2010
Background: Prevalence of dysmenorrhea and its importance for women life as well as side effects of non steroid anti inflammatory drug used for its treatment increases the tendency for alternative complementary, and herbal therapy.
P Rahnama, H Fallah Huseini, H Mohammadi, M Modares, K Khajavi Shojaee, M Askari, P Mozayani   +6 more
doaj  

Early Malaria Diagnosis and Treatment Seeking Behavior Among Clients Attending Outpatient Department Sekou-Toure Regional Referral Hospital in Mwanza, Tanzania; A Cross-Sectional Study

, 2021
Samson Peter Mvandal, Godfrida Marandu
openalex   +2 more sources

U.S. Consumers Sometimes Prefer Seemingly Redundant Labels

Agribusiness, EarlyView.
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk, Brenna Ellison, Trey Malone   +2 more
wiley   +1 more source

Development of Conceptual Framework Influencing the Success of Collaboration among Organisation in Managing BIM Construction Project Based on Client Perspectives [PDF]

Raja Nor Husna Raja Mohd Noor, Aina Sazrina Mohd Johari, Juzailah Nur Yunus, Nor Izzah Zainuddin, Mohd Rafe Abdul Majid   +4 more
openalex   +1 more source

A preliminary casemix classification system for Home and Community Care Clients in Western Australia [PDF]

, 2004
Janine Calver, C. D’Arcy J. Holman, Gill Lewin   +2 more
openalex   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Screw‐Based Pill for Intelligent Robotic Extraction of Viscous Fluids in Medical Applications

Advanced Intelligent Systems, EarlyView.
Screw‐based pill for intelligent robotic extraction (S‐PIRE) is a magnetically actuated smart capsule with a motorized screw, 3‐axis sensor, and Bluetooth control for site‐specific and minimally invasive remote sampling of viscous fluids, overcoming passive diffusion limitations.
Prima Dewi Sinawang, Victor Garcia‐Gradilla, Fernando Soto, Demir Akin, Margaret Braunreuther, Gerald G. Fuller, Utkan Demirci   +6 more
wiley   +1 more source