Results 161 to 170 of about 6,446,441 (278)

Assessment of genomic prediction and genetic gain in multi‑population half-sib families in the perennial grass crop intermediate wheatgrass. [PDF]

PLoS One
Bajgain P, Jungers JM, Anderson JA.
europepmc   +1 more source

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

Finlay-Wilkinson random regression for yield and yield stability prediction in cereals. [PDF]

Plant Genome
Sandro P, Blancon J, Neyhart J, Dawson J, Gutiérrez L.   +4 more
europepmc   +1 more source

Comparative Analysis of Al2O3/Water–TiO2/Chlorophyll Hybrid Nanofluids in a Photovoltaic–Thermal Solar Water Heating System

Energy Science &Engineering, EarlyView.
TiO2/chlorophyll bio‐hybrid nanofluid achieved the highest PVT performance, increasing thermal efficiency to 38.74% and overall efficiency to 51.35%, compared with 35.96% and 48.45% for Al2O3/water and 27.77% and 40.18% for water. The results demonstrate the potential of bio‐hybrid nanofluids for high‐efficiency solar thermal energy conversion ...
Oluwaseyi Omotayo Alabi, Oluwatoyin Joseph Gbadeyan, Oludolapo Akanni Olanrewaju   +2 more
wiley   +1 more source

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates. [PDF]

Plant Genome
Adewale SA, Babar MA, Jarquin D, Khan N, Harrison S, DeWitt N, Boyles R, Liu S, Melson E, Hathcoat D, Fiedler JD, Nandety RS.   +11 more
europepmc   +1 more source

Micro/Nanostructured Materials and Microfluidic Diagnostic Platforms Enable Multimodal Detection of Circulating Tumor Cells

Exploration, EarlyView.
Engineered micro/nanomaterials enable high‐efficiency CTC capture, release, and multimodal molecular profiling. Integrated with AI‐driven analytics, these platforms decode tumor heterogeneity and metastatic dynamics, advancing real‐time monitoring and precision oncology through DNA, RNA, and protein cross‐scale data fusion.
Hao Li, Jiaojiao Sun, Kunguo Liu, Shijie Wang, Bowen Fu, Hong Zhu, Peng Cao, Xin Han   +7 more
wiley   +1 more source

Genomic prediction in quinoa across contrasting environments using statistical and machine learning models. [PDF]

Plant Genome
Stanschewski CS, Warmington M, Afzal I, Rey E, Fiene G, Craine E, Murphy K, Tester M, Poland J.   +8 more
europepmc   +1 more source

RSM–ANFIS‐Based Process Optimization of Thermo‐Sonication of Amla Juice: Effect on Enzyme Inactivation, Physico‐Chemical, Phytochemical, Sensory, and Microbiological Quality

Food Chemistry International, EarlyView.
Thermo‐sonication parameters were optimized to maximize PPO inactivation while maintaining overall juice quality. ANFIS demonstrated superior predictive accuracy with higher R2 and lower RMSE compared to RSM. Further, the quality assessment of treated juice highlighted the potential of thermo‐sonication as a sustainable alternative to conventional ...
Sumaiya Fatima, Vivek Kumar
wiley   +1 more source

Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials. [PDF]

Theor Appl Genet
Paiva WAL, da Costa WG, Machado LP, Nascimento ACC, Jarquin D, Nascimento M.   +5 more
europepmc   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source