Results 121 to 130 of about 62,649 (242)

Tensor Changepoint Detection and Eigenbootstrap

Journal of Time Series Analysis, Volume 47, Issue 3, Page 557-578, May 2026.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta, Barbora Peštová, Martin Romaňák   +2 more
wiley   +1 more source

Protocol for survival assay of Caenorhabditis elegans to Pseudomonas aeruginosa PA14 infection

STAR Protocols
Summary: The nematode Caenorhabditis elegans is a powerful model organism for studying the molecular and cellular mechanisms of innate immunity governed by the intestine. Here, we present a protocol to perform C.
Junqiang Liu, Ming Lei, Mengqi Wang, Shu Chen, Haijun Tu   +4 more
doaj   +1 more source

Untargeted Metabolomics Coupled With Machine Learning Unravels Crop‐Specific Versus Generalized Effects of Biostimulants in Cucumber, Pepper, and Tomato

Physiologia Plantarum, Volume 178, Issue 3, May/June 2026.
ABSTRACT In recent years, agricultural practices have shifted toward sustainability, aiming to reduce the use of agrochemicals and rely more on bio‐based solutions. However, the effectiveness of these latter suffers from inconsistency. Understanding how different crops respond to biostimulants, instead of referring to a specific trial or crop, is a ...
Hajar Salehi, Pascual García‐Pérez, Luigi Lucini   +2 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, Volume 36, Issue 27, 2 April 2026.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Evolution of Point‐of‐Care Nucleic Acid Testing: From Amplification Chemistry to Intelligent and Data‐Driven Systems for Public Health

Aggregate, Volume 7, Issue 4, April 2026.
This review summarizes recent advances in integrated point‐of‐care testing (POCT) systems for public health, encompassing isothermal nucleic acid amplification, CRISPR‐based signal amplification, device integration, and chemometric/artificial intelligence‐assisted data interpretation, with applications in infectious disease surveillance, food and ...
Yan Du, Jiaqi Li, Jinghong Li
wiley   +1 more source

Identification of Quality Markers in Viola kunawaresis Royel Using HPLC Fingerprints, Chemometric Analysis, and Network Pharmacology

Biomedical Chromatography, Volume 40, Issue 4, April 2026.
ABSTRACT Violae tianshanicae herba (VTH), a widely used crude drug in Uyghur medicine in China, is renowned for its immunomodulatory, anti‐inflammatory, antibacterial, antiviral, and antidiabetic activities, with notable efficacy in treating asthma. However, systematic research on its quality markers (Q‐markers) remains limited, underscoring the need ...
Haifeng Liu, Rongmei Zhao, Hong Xu, Tabusi Manaer, Le Pan, Lu Jin, Amatjan Ayupbek   +6 more
wiley   +1 more source

Support Vector Machine Ensemble for Crude Oil Classification

Journal of Chemometrics, Volume 40, Issue 4, April 2026.
ABSTRACT The study focuses on proposing a new machine learning approach to classify crude oil samples based on their physicochemical properties, such as sulfur concentration (S), total acidity number (TAN), and American Petroleum Institute (API) gravity.
Maria Carolina da V. A. Barboza, Márcia Helena Cassago Nascimento, Gabriely Silveira Folli, Junio R. Botelho, Rafael de Queiroz Ferreira, Wanderson Romão, Paulo Roberto Filgueiras   +6 more
wiley   +1 more source

Why Is the Peak Group Analysis So Effective for IR Spectra Analysis?

Journal of Chemometrics, Volume 40, Issue 4, April 2026.
ABSTRACT Peak group analysis (PGA), an MCR algorithm, has proven to be very successful in extracting pure component spectra and concentration profiles from IR and Raman spectral data when investigating carbonylation reactions with transition metal catalysts.
Klaus Neymeyr, Christoph Kubis, Lukas Prestin, Robert Franke, Mathias Sawall   +4 more
wiley   +1 more source

High‐Throughput Glucose Biosensing Using Jack Bean [Canavalia ensiformis (L.) DC.] Lectin as Electrochemical Signaling Element

Electroanalysis, Volume 38, Issue 4, April 2026.
An electrochemical biosensor employing Canavalia ensiformis lectin immobilized on a Prussian Blue‐modified glassy carbon electrode was developed for label‐free glucose detection at submicromolar levels. The integration of lectin biorecognition with the conductive Prussian Blue layer ensured stable and selective signal transduction.
Vanessa E. Abrantes‐Coutinho, André O. Santos, Heryka R. A. Costa, Rosiane M. C. Farias, Maria A. S. Silva, Thiago M. B. F. Oliveira   +5 more
wiley   +1 more source

Cisplatin Promotes Immunosuppression in Ovarian Cancer by Enhancing miR‐181a‐5p‐Enriched Extracellular Vesicles to Drive Regulatory T Cell Differentiation

Journal of Extracellular Vesicles, Volume 15, Issue 4, April 2026.
ABSTRACT Although cisplatin (CDDP) is widely employed in combination immunotherapy, no CDDP‐based regimen has shown a survival benefit when treating the ovarian cancers. This is mainly because the impact of CDDP on immunotherapy is not fully understood.
Liyan Zheng, Sijia Mu, Mingxue Liu, Panmin Lei, Jingchen Zhang, Yuting Dai, Chenxi He, Fengli Qu, Weihong Tan   +8 more
wiley   +1 more source