Results 101 to 110 of about 74,793 (263)
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley +1 more source
Objective Eosinophilic granulomatosis with polyangiitis (EGPA) is a small vessel vasculitis characterized by eosinophilia, asthma, and ear, nose, and throat (ENT) involvement. Although glucocorticoids (GCs) are effective in controlling symptoms, relapses and GC dependence are common. The aim of this study was to develop predictive models for vasculitis
Matthias Papo +35 more
wiley +1 more source
This study investigated the contributions of hope and optimism to teacher well-being and burnout through a Structural Equation Modeling (SEM) framework. A sample of 200 Iranian language teachers completed validated measures of hope, optimism, well-being,
Mahsa Taati Jeliseh +3 more
doaj +1 more source
Bilevel Optimization by Conditional Bayesian Optimization
Bilevel optimization problems have two decision-makers: a leader and a follower (sometimes more than one of either, or both). The leader must solve a constrained optimization problem in which some decisions are made by the follower. These problems are much harder to solve than those with a single decision-maker, and efficient optimal algorithms are ...
Vedat Dogan, Steven Prestwich
openaire +3 more sources
A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated With Colchicine Prophylaxis
Objective This study investigated that serum metabolomics, before urate‐lowering therapy (ULT) initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat‐to‐target ULT. Methods We studied a multicenter prospective cohort (n = 409) initiating treat‐to‐target ULT plus colchicine prophylaxis.
Wenyan Sun +13 more
wiley +1 more source
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu +2 more
wiley +1 more source
Abstract Simulation‐based training is critical for surgical skill acquisition and typically uses soft‐preserved body donors, as they represent high‐fidelity models (vs. hard‐fixed donors) with prolonged periods of preservation (vs. unembalmed donors).
Sorin Darie +13 more
wiley +1 more source
Abstract Serious games are emerging as innovative tools in medical education, yet their adoption in anatomy teaching remains limited due to educator hesitancy, institutional constraints, and design challenges. This qualitative study explores the perspectives of anatomy educators on digital serious games and proposes a framework for their implementation.
Arthur Chin Haeng Lau, James Pickering
wiley +1 more source
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
A sustainable business ecosystem: a case study demonstrating biochar's potential
Abstract The need for renewable, climate‐friendly resources has become urgent as legislators worldwide have sought to find ways to cut emissions while ensuring resource security for consumers. The use of biochar could help to achieve these goals. This study examines the current state of commercial biochar production and the maturity of the related ...
Kivijakola Juuso +4 more
wiley +1 more source

