Results 171 to 180 of about 56,202 (281)

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source

Global trends and the case of China in Cardio-Kidney-Metabolic multimorbidity: development and validation of a composite risk index using GBD 1990-2021 data. [PDF]

J Health Popul Nutr
Lu X, Peng X, Zhang Y, Zhu H, Zheng Y, Sun Y, Ji H, Li J, Jin H, Li X.   +9 more
europepmc   +1 more source

Benchmarking Potential Construction Waste Streams and Their Climate Impact: Life Cycle Assessment‐Based Targets for Strategic Planning of Construction Processes

Sustainable Development, EarlyView.
ABSTRACT This study investigates how construction waste intensity affects greenhouse gas emissions (GHGe), analyzing data from 345 buildings constructed between 2007 and 2025. Using material waste rates (MWR) from previous cases, it predicts climate impacts based on typical material compositions.
Lea Hasselsteen, Aleksander P. Otovic, Harpa Birgisdóttir, Kai Kanafani   +3 more
wiley   +1 more source

A Novel Machine Learning Approach to Assist Early Diagnosis of Diffuse Panbronchiolitis. [PDF]

J Korean Med Sci
Lee HJ, Heo KJ, You YS, Chae KJ, Kim JS, Jeong JS, Lee YC.   +6 more
europepmc   +1 more source

Environmental, Social and Governance Strategies for Sustainable Development Goal 3: Enhancing Health and Social Wellbeing

Sustainable Development, EarlyView.
ABSTRACT The discourse on Environmental, Social, and Governance (ESG) strategies is growing, yet its ability to meaningfully advance health and social wellbeing (H&SW) in line with United Nations Sustainable Development Goal (SDG 3) remains under‐examined. Existing studies assume that ESG automatically strengthens SDG 3 outcomes, yet how the Governance
Arjun Chaudhuri, Mahak Sharma, Devrim Murat Yazan   +2 more
wiley   +1 more source

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance

Small, EarlyView.
This study presents a machine‐learning (ML) framework to predict the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) for magnetic hyperthermia. A curated dataset comprising 30 intrinsic and extrinsic features revealed strong nonlinear dependencies.
Edgar Régulo Vega‐Carrasco, Shaquib Rahman Ansari, Jiaxi Zhao, Yael del Carmen Suárez‐López, Per Larsson, Alexandra Teleki   +5 more
wiley   +1 more source

Optimizing photovoltaic power prediction at extreme altitudes using stacking metamodels and dimensionality reduction. [PDF]

Sci Rep
Huaquipaco S, Mamani W, Beltran N, Ramos J, Sarmiento V, Puma P, Pizarro H, Yana-Mamani V, Cruz J, Condori R.   +9 more
europepmc   +1 more source

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

Structural Concrete, EarlyView.
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu, Nima Khodadadi, Anxiang Song, Tianyu Hu, Yang Yu, Antonio Nanni   +5 more
wiley   +1 more source

Uncovering the evolving drivers of student engagement in physical education: a dynamic analysis across developmental stages. [PDF]

Front Psychol
Lv Z.
europepmc   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

TAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman, Måns Svensson, Martin Westberg   +2 more
wiley   +1 more source