Results 111 to 120 of about 441 (221)

A comprehensive investigation of hydraulic performance and internal flow characteristics of Francis turbine model at part load cavitating flow for various turbulence models

open access: yesEngineering Applications of Computational Fluid Mechanics
Francis turbines are used extensively in hydropower facilities because of their great efficiency and versatility in a wider range of operations. In high specific speed turbines, part-load (PL) operations and cavitating conditions introduce highly complex
Mohammad Abu Shahzer   +2 more
doaj   +1 more source

Comparison of Environmental DNA Metabarcoding and Trawl Data Highlights Gear Selectivity of Marine Demersal Fish Surveys on the Faroese Plateau

open access: yesEnvironmental DNA, Volume 8, Issue 2, March/April 2026.
The study compared trawl and eDNA metabarcoding of demersal fish communities in an open ocean environment around the Faroe Islands. eDNA provided a comparable assessment of demersal species biomass and revealed additional spatial information on keystone species known to be under‐sampled by demersal trawls due to size and behavioral traits.
I. Salter   +4 more
wiley   +1 more source

UNSTEADY FLOW SIMULATION IN HYDRAULIC MACHINERY

open access: yesTASK Quarterly, 2002
In the field of hydraulic machinery Computational Fluid Dynamics (CFD) is routinely used today in research and development as well as in the daily design phase. Today in industry mostly steady-state simulations are applied.
ALBERT RUPRECHT
doaj  

Challenges and Advancements in High‐Nickel Layered Oxides Cathode Material for Lithium‐Ion Batteries

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 2, March 2026.
As a representative high‐energy‐density cathode material for lithium‐ion batteries, NCM811 still encounters critical challenges. This review provides a comprehensive analysis of its failure mechanisms, summarizes recent modification strategies, and highlights the contributions of advanced characterization and simulation techniques to performance ...
Yunshan Zheng   +10 more
wiley   +1 more source

Forecasting Carbon Prices: A Literature Review

open access: yesJournal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis   +2 more
wiley   +1 more source

Natural Antimicrobial Activity of Nettle (Urtica dioica L.) Leaf Extract for Shelf‐Life Extension of Mashed Potatoes

open access: yesFood Science &Nutrition, Volume 14, Issue 3, March 2026.
NLE exhibited strong antioxidant activity, with DPPH, ABTS, and FRAP values of 21.96 ± 0.76 and 17.51 ± 0.90 μmol Trolox/mL, and 5.93 ± 0.65 μmol Fe (II)/g, respectively. Cytotoxicity assessment using L929 fibroblast cells indicated that the extract was non‐toxic at concentrations relevant for antimicrobial application.
Saritha Kagula   +4 more
wiley   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

open access: yesJournal of Intelligent Medicine, Volume 3, Issue 1, Page 26-46, March 2026.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan   +3 more
wiley   +1 more source

AI‐Powered Scoring for Creative Thinking: Methods and Challenges in PISA Assessment

open access: yesThe Journal of Creative Behavior, Volume 60, Issue 1, March 2026.
ABSTRACT The introduction of the PISA 2022 Creative Thinking assessment underscores the growing need for scalable, valid, and reliable methods to evaluate creativity in international large‐scale assessments. Traditional human scoring, while nuanced, is time‐consuming, costly, and subject to inconsistencies.
Ricardo Primi   +7 more
wiley   +1 more source

Severity Prediction of Traumatic Cervical Spinal Cord Injury With an AI Model Based on MRI Radiomics

open access: yesJOR SPINE, Volume 9, Issue 1, March 2026.
(1) Manually delineation of the lesion area's region of interest (ROI) layer by layer to form three‐dimensional volume of interest (VOI). (2) Pretraining and transfer learning for target area segmentation of T2WI images. (3) Radiomic features selection for AIS prediction models. (4) Construction of ensemble model for AIS grade prediction.
Chunshuai Wu   +9 more
wiley   +1 more source

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