761 results found

Jose Soto, Juan de Dios Ortuzar, Luis Rizzi, Elisabetta Cherchi

Discrete choice models are useful to understand how decisions are made and to predict future choices. However, most applications rely on several simplifying assumptions. In this paper we relax one of ...

Research Square 2026-04-20 rs-9000359
Discrete choice scale heterogeneity respondent burden survey engagement design of designs stated preference survey design

JianYuan Chen

This study serves as both a teaching experiment and teaching case, introducing an immersive and situated learning approach to experiential business education. However, business‑education literature re...

SN Social Sciences 2026-04-20 rs-9286271
Financial Literacy Industrial Heritage Business Education Experiential Learning Cycle Teaching Case

THI TAM THU NGUYEN, LE THI NHI-CONG, THI HUYEN NGA TRAN, KIEN CUONG PHAM, MINH TRI LE

Recently, polyhydroxyalkanoates (PHA) have garnered systematic attention as biodegradable alternatives to petrochemical plastics. This study aimed to identify bacterial strains synthesizing poly(3-hyd...

Journal of Polymers and the Environment 2026-04-20 rs-9265218
Food packaging film Polyhydroxyalkanoate Salinicola lusitanus Salt-tolerant bacterium

Atantra Das Gupta

Traditional approaches to anticancer dosing typically rely on fixed protocols that often overlook how patients respond differently to treatment. This can limit both effectiveness and safety. In this w...

Research Square 2026-04-20 rs-9411956
digital twin antineoplastic drug delivery reinforcement learning PBPK modeling precision oncology pharmacokinetics theragnostic deep Q-network

Byeongsoo

Background. Flux balance analysis (FBA) is widely used to simulate gene essentiality in genome-scale metabolic models (GEMs), and several studies have proposed using FBA-based combination simulations ...

Research Square 2026-04-20 rs-9398278
flux balance analysis antibiotic synergy linear programming machine learning genome-scale metabolic model drug combination ESKAPE Bliss independence

Tahar kernif, Clément Lozano, Fayez Ahmed KHARDINE, Bachir MEDROUH, Aïssam HACHID, Bernard FERNANDEZ, Naouel EDDAIKRA, Stéphane DELBECQ, Jean ARMENGAUD, Denis SERENO, Philippe HOLZMULLER

Background Ticks are major ectoparasites and vectors of pathogens affecting humans, livestock, and wildlife. They harbor diverse microbial communities that may influence tick biology and interactions ...

Scientific Reports 2026-04-20 rs-9160125
Ticks Tick microbiome Metaproteomics Bacterial diversity Hyalomma Rhipicephalus Algeria

Rachel L King, Stuart Warren, Elizabeth Vass, Benjamen T Sharpe, Kian Beaumont, Stewart Seymour, Samuel Bell, Rosana Pacella, Antonina Pereira

Background: The prevalence of dementia is currently set to rise to 1.7 million by 2040, with associated costs estimated at £90 billion. Given its substantial impact on quality of life (QoL) and the gr...

Cost Effectiveness and Resource Allocation 2026-04-20 rs-9314155
Supportive care multicomponent dementia costs wellbeing quality of life care partners cost-effectiveness Sage House Model

Jiang-Long Shen, Xia Li

The Caudrey-Dodd-Gibbon (CDG) equation, a core constituent of the fifth-order Korteweg-de Vries (KdV)-type nonlinear wave equations, possesses exact solutions that are of pivotal significance for eluc...

Nonlinear Dynamics 2026-04-20 rs-9350197
Fifth-order dispersion nonlinear wave equation Feature enhancement Direct symbolic computation Neural networks

Dhanalakshmi P, Lakshmi K, Sreeja PA, Naga Rithesh N, Harikrishnan N, Aman Suresh Tharayil, Chathreian SR

Background mHealth is crucial in maternal health. They directly improve access to care & information, which reduces adverse maternal-perinatal outcomes, ultimately playing a vital role in improving ov...

Discover Public Health 2026-04-20 rs-9124324
mHealth decentralized record healthcare providers data management digital tools Pregnancy

Jiaee Cheong, Diana S. Chen, William Leung, Cody Chou, Cheryl M. Corcoran, Sinead Kelly, Carrie E. Bearden, Guillermo Cecchi, Justin T. Baker, John M. Kane, Scott W. Woods, Martha E. Shenton, Barnaby Nelson, John Torous

Large language models (LLMs) are increasingly deployed to assess, diagnose, and predict clinical symptoms and outcomes from textual data. However, prior work has shown that LLMs are susceptible to hal...

Research Square 2026-04-20 rs-9394250
automated text analysis clinical safety large language models
Back to Top
Home
Browse
Submit
About
0.024146s