Results 161 to 170 of about 562,901 (310)
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Engaging Chicago Residents in Climate Change Action: Results from Rapid Ethnographic Inquiry
Addressing climate change requires action at all levels of society, from neighborhood to international levels. Using Rapid Ethnography rooted in Asset Based Community Development theory, we investigated climate-friendly attitudes and behaviors in two ...
Lynne M. Westphal, Jennifer L. Hirsch
doaj
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng +7 more
wiley +1 more source
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans +8 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen +9 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Community Cancer Champions' Project: Learning From the Design and Implementation of an Integrated Health and Voluntary and Community Sector (VCS) Asset-Based Community Development Project - A Case Study From Plymouth, England. [PDF]
Stevenson K +4 more
europepmc +1 more source
An asset-based approach of the Romanian research-development and innovation system [PDF]
The present paper experiments a new model of analysis for the Research-Development and Innovation (RDI) field of research, namely the Asset-Based Development strategy or Appreciative Planning and Action, which unfolds at the community level the same core
Irina ANGHEL, Steliana SANDU
core +1 more source

