Results 161 to 170 of about 5,262,248 (269)

Synergistic transition from type‐I‐like to type‐II‐like symptomology in a pyrethroid mixture and its impact on knockdown–mortality relationships in Musca domestica L

Pest Management Science, Volume 82, Issue 10, Page 9614-9627, October 2026.
In the present study, relationship between knockdown and mortality of insecticides was examined against the adult female housefly, Musca domestica. Type‐I pyrethroid insecticides showed a weak linkage, as early knocked down flies did not always result in mortality, while type‐II pyrethroids and organophosphates exhibited strong correlation between the ...
Junho Yoon, Jun‐Hyung Tak
wiley   +1 more source

GA-SMOTE-RF Enhanced Kalman Filter with Adaptive Noise Reduction. [PDF]

Sensors (Basel)
Wang Y, Zou H, Liu Y, Qiao T, Xu X, Li Y, He C, Zhou S, Wang H, Geng Q, Song Q.   +10 more
europepmc   +1 more source

Surface‐Enhanced Raman Scattering‐Based Multimodal Medical Imaging in Cancer Diagnosis and Therapy Monitoring

Rare Metals, Volume 45, Issue 10, October 2026.
ABSTRACT Surface‐enhanced Raman scattering (SERS) has emerged as a highly sensitive and specific technique for tumor imaging, owing to its narrow spectral features, resistance to photobleaching, and capability for multiplexed detection. However, its clinical translation remains limited by poor tissue penetration and the absence of intrinsic anatomical ...
Xinyu Miao, Yujiao Xie, Aochi Liu, Shishuai Zheng, Dong Xu, Aiguo Wu, Jie Lin, Xiaoxia Wu   +7 more
wiley   +1 more source

Looking to Deceive: Voluntary Gaze Control Reduces the Discriminative Power of Eye-Movement-Based Concealed Information Testing. [PDF]

J Eye Mov Res
Milosavljević N, Panjevac M, Janković MM, Ković V.   +3 more
europepmc   +1 more source

Removal Thickness Prediction and Process‐Window Identification in Laser Cleaning of Multilayer Aerospace Coatings

Rare Metals, Volume 45, Issue 10, October 2026.
ABSTRACT Precise control of removal thickness is critical for laser cleaning of multilayer aerospace coatings particularly for selective removal without substrate exposure. However, the process response becomes highly sensitive near coating interfaces, making reliable parameter selection difficult.
Fanzhou Zeng, Shuran Miao, Zheng Qu, Shukai Hu, Donghe Zhang, Bin Guo, Jie Xu   +6 more
wiley   +1 more source

Leveraging Machine Learning Classifiers in Transfer Learning for Few-Shot Modulation Recognition. [PDF]

Sensors (Basel)
Li S, Wang Y, Xiong J, Wang X.
europepmc   +1 more source

Enhanced Control of 1.5 MW DFIG Generators in MRWT Systems Using GA‐Based PI‐ST‐SMC: Comparative Assessment With ST‐SMC

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT This paper proposes a novel genetic algorithm‐based proportional–integral super‐twisting sliding mode control (GA‐PI‐ST‐SMC) strategy for the rotor‐side converter of a 1.5 MW doubly‐fed induction generator (DFIG) operating in marine renewable wind turbine (MRWT) systems.
Habib Benbouhenni, Nicu Bizon, Zakaria Mohamed Salem Elbarbary, Saad F. Al‐Gahtani   +3 more
wiley   +1 more source

Forecasting and Explaining Ethanol Price Through Shapley Additive Explanations: Evidence From Two Decades of Panel Agroeconomic Data in Brazil

GCB Bioenergy, Volume 18, Issue 10, October 2026.
Explainable AI reveals how biological feedstock quality, energy markets, and policy factors jointly shape ethanol price dynamics. Deep learning improves forecasting accuracy while identifying sugarcane quality (TRS), gasoline prices, taxation, and macroeconomic variables as key drivers in a major bioenergy system.
Marilaine Colnago, Lucas A. B. de Matos, José Nuno Fidalgo, Rogério G. Negri, Wallace Casaca   +4 more
wiley   +1 more source

Quantum SVM-driven framework for accurate brain stroke classification. [PDF]

Sci Rep
Priya SB, Rajamanogaran M, Saravanan KS, Priyanga S.   +3 more
europepmc   +1 more source

Unveiling the Diagnostic Value and Potential Therapeutic Targets of Phenylalanine Metabolism in Pancreatic Cancer via Integrated Multi‐Omics and Machine Learning

The FASEB Journal, Volume 40, Issue 18, 30 September 2026.
MR identified phenylalanine as a causal PC risk factor (OR 1.18). A 5‐gene RF model (AUC 0.955) highlighted SLC6A14 as the top biomarker. Single‐cell analysis revealed epithelial–immune crosstalk. Molecular docking identified genistein (−9.1 kcal/mol) as a lead SLC6A14‐targeting compound.
Xing Liu, Yibin Li, Fangfang Qin, Jianghong Ou   +3 more
wiley   +1 more source