Results 121 to 130 of about 14,298 (230)

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

Machine Learning-Driven Prediction of CO2 Solubility in Brine: A Hybrid Grey Wolf Optimizer (GWO)-Assisted Gaussian Process Regression (GPR) Approach

Energies
The solubility of CO2 in brine systems is critical for both carbon storage and enhanced oil recovery (EOR) applications. In this study, Gaussian Process Regression (GPR) with eight different kernels was optimized using the Grey Wolf Optimizer (GWO) algorithm to model this important phase behavior.
Seyed Hossein Hashemi, Farshid Torabi, Paitoon Tontiwachwuthikul   +2 more
openaire   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, Volume 104, Issue 5, Page 2401-2415, May 2026.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Rhythms in longitudinal thalamic recordings are linked to seizure risk

Epilepsia, Volume 67, Issue 5, Page 2559-2571, May 2026.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang, Zachary T. Sanger, Thomas Lisko, Steffen Ventz, Robert A. McGovern, Theoden I. Netoff   +5 more
wiley   +1 more source

Linking Genetic Merit and Multi‐Trait Indices With Meteorological Controls to Maize Performance Across Multi‐Environment Trials

Food and Energy Security, Volume 15, Issue 3, May/June 2026.
ABSTRACT Accurate evaluation of maize performance across diverse environments is essential for improving yield stability and cultivar adaptation under a changing climate. However, conventional breeding approaches often struggle to address multi‐trait trade‐offs and complex genotype‐by‐environment (G × E) interactions while explicitly incorporating ...
Haiwang Yue, Xiaojing Cui, Jiashuai Zhu, Jianwei Wei, Pengcheng Liu, Hang Liu, Haoxiang Yang, Heqin Li, Lili Shi, Xueting Mi, Siya Wang, Jie Chen, Xuwen Jiang   +12 more
wiley   +1 more source

An Unfolding Story: AlphaFold's View on Protein Flexibility

Helvetica Chimica Acta, Volume 109, Issue 5, May 2026.
AlphaFold confidence measures allow for detailed proteome‐wide characterization of protein flexibility. All flexibility measures increased substantially in the evolutionary transition from prokaryota to eukaryota. ABSTRACT The AlphaFold confidence measures are related to conformation distribution of the protein.
Gunnar Jeschke
wiley   +1 more source

Epidemiological Features and Temporal Trends of Five Common Sexually Transmitted Infections Excluding HIV, 1990–2021: Findings From the Global Burden of Disease Study

Journal of Medical Virology, Volume 98, Issue 5, May 2026.
ABSTRACT Sexually transmitted infections (STIs) remain a major global health threat. A comprehensive assessment of their epidemiological features and future trajectories is essential for informing targeted public health policies and achieving international control targets.
Baigong Feng, Liwei Liu, Meizhuo Li, Jing Zhang, Yan Lian, Xiang Du   +5 more
wiley   +1 more source

Understanding Pressure‐Induced Photovoltaic Performance of Lead‐Free Ca3BiI3 Perovskite: A DFT and SCAPS‐1D Simulations Study

Nano Select, Volume 7, Issue 5, May 2026.
This research explores the structural, electronic, mechanical, and optical characteristics of lead‐free cubic Ca3BiI3 under hydrostatic pressure up to 15 GPa using first‐principles methods. The findings confirm that Ca3BiI3 becomes pressure‐dependent and has potential applications in advanced photovoltaic and optoelectronic devices.
Sayeef Shahrear, Md Shah Nawaz Romel, Istiak Ahmed Ovi, Md Muneef Hasan, Fahmida Rubaiya, Md Shahidul Islam   +5 more
wiley   +1 more source

Experimental and ANN Modeling of Mechanical Properties and Surface Quality in Multi‐Material FDM Printing: Effects of Retraction Parameters

Polymers for Advanced Technologies, Volume 37, Issue 5, May 2026.
ABSTRACT In fused deposition modeling (FDM), retraction related parameters are usually adjusted to reduce stringing and oozing; however, their combined effects on mechanical performance and surface quality, particularly in multi‐material printing, remain insufficiently quantified.
Yagmur Akin Yildirim, Burak Yildirim, Osman Ulkir, Melih Kuncan   +3 more
wiley   +1 more source

Integrated Experimental and Machine Learning‐Based Predictive Analysis of FDM Parameters for Conductive PLA‐Based Composites

Polymers for Advanced Technologies, Volume 37, Issue 5, May 2026.
ABSTRACT This study investigates the effects of fused deposition modeling (FDM) parameters on the tensile strength and electrical conductivity of conductive polylactic acid (PLA)‐based composites. An integrated experimental and machine learning (ML)‐based framework was used.
Mehmet Ali Altuncu, Osman Ulkir, Melih Kuncan   +2 more
wiley   +1 more source