ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed +3 more
wiley +1 more source
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino +2 more
wiley +1 more source
Algorithm for investigating risk analysis and factors affecting suicidal attempts under uncertainty. [PDF]
Liang R, Duan N, Liu X, Liu C.
europepmc +1 more source
A Real‐Time Digital Twin for Human Cardiovascular Applications
A real‐time digital twin was developed using the reduced‐order unscented Kalman filter (ROUKF) to estimate left ventricular contractility from synthetic and in vivo left ventricular pressure measurement data. The results were promising, with identifiable parameter estimates and a stable mathematical model, highlighting the potential for real‐time ...
S. C. Snijders +4 more
wiley +1 more source
Evaluating Rapid Extraction Methods for Recovering Ancient DNA From Archaeological Sediments
A modified Amicon‐based rapid DNA extraction protocol outperformed other rapid methods, recovering short DNA fragments from mock sediments within ~3 h. Application to archaeological sediments successfully recovered amplifiable DNA from ancient taxa. This rapid, portable, non‐hazardous approach establishes a premise for more informed sampling in time ...
Nihan Dilşad Dağtaş +9 more
wiley +1 more source
Learning under uncertainty-Conservation of populations and persistence of dynamic resources through adaptive switching feedback controllers. [PDF]
Smith P, Guiver C.
europepmc +1 more source
The oxygen reduction reaction (ORR) at the proton exchange membrane fuel cells (PEMFC) cathode suffers from sluggish kinetics, high platinum loading requirements, and progressive catalyst degradation. This review examines how artificial intelligence (AI) and machine learning (ML) are reshaping the discovery and durability assessment of ORR ...
Aaditya Sharma +4 more
wiley +1 more source
Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes. [PDF]
Reddy BVS +5 more
europepmc +1 more source
Abstract This article investigates the modeling of metallic isotropic porous materials by evaluating and comparing macroscopic and microstructure‐resolved simulation approaches. At the macroscopic level, different variants of the Deshpande‐Fleck (DF) model are implemented to describe the elastoplastic behavior of metallic porous materials.
Julian Dahler +2 more
wiley +1 more source
Design of modified fractional-order PID controller for lower limb rehabilitation exoskeleton robot based on an improved elk herd hybridized with grey wolf and multi-verse optimization algorithms. [PDF]
Mohammed Ali NS, Saleh MH, Abbas NH.
europepmc +1 more source

