Results 31 to 40 of about 10,952,915 (241)
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
TRATAMIENTO DE PROBLEMAS SOCIO CIENTIFICOS EN LA FORMACIÓN DE PROFESORES DE BIOLOGIA: ALGUNOS ASPECTOS [PDF]
From the STSE movement (Science-Technology-Society-Environment) and its implications in science education, this paper proposes to put in discussion of treatment possibilities and limitations of socio- scientific issues (SCI) in the training of biology ...
WASHINGTON LUIZ PACHECO DE CARVALHO +1 more
doaj
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu +4 more
wiley +1 more source
Rainfall Shapes the Diversity of Soil Nitrogen‐Fixing Microorganisms Worldwide
This study reveals the distinctive pattern and mechanism of rainfall driving the global biodiversity and biogeography of soil potential N‐fixing microorganisms, and constructs the theoretical framework. The results guide us on how to maintain ecosystem productivity under future climate changes (e.g., whether a specific region needs more N fertilizers ...
Bin Hua +18 more
wiley +1 more source
ABSTRACT Using a lab‐in‐the‐field experiment, we investigate how providing information about food miles and pesticide residue influences willingness to pay (WTP) for potatoes among 407 shoppers in Taiwan, split between a supermarket and a farmers market.
Chiu‐Lin Huang +3 more
wiley +1 more source
Critical Thinking in Science Education: Nurturing Inquiry, Socio-Scientific Issues, and Innovation
Critical thinking (CT) is a distinctive form of reasoning focused on examining the truthfulness of arguments, making evidence-based judgments, making informed decisions, and participating actively in socio-environmental issues.
Jordi Solbes, Teresa Lupión-Cobos
doaj +1 more source
This study aims to develop and analyze the validity of the e-book on environmental pollution based on socio-scientific issues to improve students' argumentation skills.
Minnathul Khasanah +2 more
doaj +1 more source

