Results 171 to 180 of about 29,340 (263)

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Diversity in Rubisco kinetics and CO2-concentrating mechanisms in Cyanobacteria. [PDF]

Plant Physiol
Aguiló-Nicolau P, Wijker RS, Iñiguez C, Capó-Bauçà S, Stoll HM, Galmés J.   +5 more
europepmc   +1 more source

Seismic Fragility of Gravity and Semi‐Gravity Retaining Walls and Its Impact on the Functionality Loss of Road Infrastructures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Retaining walls are key geotechnical components of road infrastructure, whose seismic performance directly affects the resilience of transportation networks. Despite their importance, seismic fragility models for retaining walls available in the literature refer only to specific case studies.
Amendola C., Conti R., de Silva F.
wiley   +1 more source

Unveiling the drivers of carbon sequestration in Baotou shelterbelt species: A functional group perspective with xgboost-SHAP interpretation. [PDF]

iScience
Han S, Liu Y, Ji P, Gao R, Zhang R, Zhang W, Weng J.   +6 more
europepmc   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Exogenous melatonin alleviates copper stress in apple rootstock M9T337 by regulating the antioxidant system and carbon-nitrogen metabolism. [PDF]

Front Plant Sci
Wang F, Zhang J, Hao X, Peng L, Ding S, Zhao C, Liu L, Ji X, Zhao X, Sun M, Xu R.   +10 more
europepmc   +1 more source

Stage‐Dependent Metabolic Reprogramming Drives a Self‐Organizing Microbial Network During Shanxi Aged Vinegar

Food Bioengineering, EarlyView.
Metabolic shifts from growth to stress adaptation in Shanxi aged vinegar fermentation link flavor maturation and microbial cooperation, and Lactobacillus and Acetobacter form a self‐organizing metabolic network through division of labor. ABSTRACT Acetic acid fermentation (AAF) is a vital stage in the production of Shanxi aged vinegar (SAV), during ...
Yanfang Wu, Jing Liu, Dantong Liu, Menglei Xia, Jia Song, Yu Zheng, Min Wang   +6 more
wiley   +1 more source

Fresh aboveground net primary productivity of Tibetan grasslands: Responses of different plant functional groups to climate change and human activities and implications for ecosystem management. [PDF]

PLoS One
Zhang G, Sun W, Li S, Zhong Z, Tian Y, Zhao C, Han F, Huang S, Yujie D, Fu G.   +9 more
europepmc   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

Lack of gastric acidification reduces postprandial energy expenditure and protein digestion but not growth in Astyanax mexicanus. [PDF]

J Exp Biol
Ferreira PG, Flávio H, Wilson JM.
europepmc   +1 more source