Results 121 to 130 of about 50,025,908 (203)

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman, Atit Parajuli, Adnan Hossain Khan, Liang Dong, Madan K Bhattacharyya   +4 more
wiley   +1 more source

Detection of lung cancer using Kronecker mobile forward harmonic net. [PDF]

Sci Rep
Prasad JR, Prasad R, Ranjan N, Dhumane A, Tamboli M.   +4 more
europepmc   +1 more source

Study on Classification and Detection of Operational Fatigue in Deep‐Well Mining Truck Drivers Based on GSWOA‐LSSVM

Safety Science and Technology, Volume 1, Issue 4, December 2026.
ABSTRACT Effectively detecting the operational fatigue of miners can identify safety risks in mines. As the executors of auxiliary transportation in mines, the operational fatigue status of mining truck drivers deserves particular attention and detection.
Ying Chen, Jikun Lu, Caiwu Lu, Qinghua Gu, Song Jiang   +4 more
wiley   +1 more source

A multi-stage stacking framework for accurate and interpretable life expectancy modeling. [PDF]

PLoS One
Chinthaginjala R, Tera SP, Natha P, Srinivasulu A, Al-Turjman F, Mohammad F.   +5 more
europepmc   +1 more source

WakeMeta: Physics‐Guided Graph Meta‐Adaptation for Cross‐Farm Probabilistic Wind Power Forecasting

Wind Energy, Volume 29, Issue 12, December 2026.
ABSTRACT Short‐term wind power forecasting is essential for reliable grid operation, yet newly commissioned wind farms often provide only limited supervisory control and data acquisition (SCADA) histories for model adaptation. Existing cross‐farm methods face two related limitations: Data‐driven models must relearn site‐specific interturbine ...
YanCheng Yang, YuChen Zhang, Rajermani Thinakaran   +2 more
wiley   +1 more source

Cross-Code Verification for Improved Thermophysical Properties of Argon, Krypton and Xenon Plasmas. [PDF]

Entropy (Basel)
Vagnoni A, Murphy AB, Ghedini E.
europepmc   +1 more source

Neurotransmitter‐Defined Degeneration Patterns in Sporadic and C9orf72‐Associated Amyotrophic Lateral Sclerosis: Predilection to GABAergic, Serotonergic, Opioid, Glutamatergic, Endocannabinoid, and Microglial Systems—Implications for Therapy Development

Annals of Neurology, Volume 100, Issue 5, Page 948-961, November 2026.
Objective Amyotrophic lateral sclerosis (ALS) has a markedly distinctive clinical and neuroradiological signature, with the preferential involvement of specific brain networks and the apparent sparing of others. The molecular underpinnings of the strikingly selective anatomical vulnerability have not been fully elucidated to date despite the potential ...
Marlene Tahedl, We Fong Siah, Jasmin Lope, Jennifer C. Hengeveld, Mark A. Doherty, Russell L. McLaughlin, Orla Hardiman, Ee Ling Tan, Alison Toomey, Jana Kleinerova, Peter Bede   +10 more
wiley   +1 more source

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm. [PDF]

Rapid Commun Mass Spectrom
Xu G, Gan S, Guo B, Yang L.
europepmc   +1 more source

Phytochemical Screening, Pharmacological Evaluation, and Exploratory In Silico Analysis of Emilia sonchifolia Extract and Solvent Fractions

Cell Biochemistry and Function, Volume 44, Issue 11, November 2026.
ABSTRACT Emilia sonchifolia (L.) DC. is a medicinal plant used traditionally for the management of several disorders; however, integrated experimental evaluation of its pharmacological properties remains limited. This study evaluated the phytochemical composition and selected biological activities of the methanolic whole‐plant extract of E. sonchifolia
Md. Masud Morshed, Mohammad Arman, Mohammad Nazmul Islam, Ziaul Karim, Rakibur Rahman, Mohammed Hassan Kawsar, Md. Sohel Rana   +6 more
wiley   +1 more source

The Variance of the Corrected Pearson Correlation Coefficient Under Correlated and Uncorrelated Additive Measurement Noise

Journal of Chemometrics, Volume 40, Issue 11, November 2026.
ABSTRACT In the presence of additive measurement noise, the Pearson moment‐product correlation coefficient between two measured quantities (variables) x$$ x $$ and y$$ y $$ is distorted and can be biased upwards or downwards depending on the interplay of the correlated and uncorrelated noise components.
Edoardo Saccenti
wiley   +1 more source