Academic Articles & Research Papers

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

Accelerated maximum likelihood parameter estimation for stochastic biochemical systems

Abstract Background A prerequisite for the mechanistic simulation of a biochemical system is detailed knowledge of its kinetic parameters. Despite recent experimental advances, the estimation of unknown parameter values from observed data i...

In silico analysis of ciprofloxacin analogs as inhibitors of DNA gyrase of Staphylococcus aureus

In this in silico study, thirty-five ciprofloxacin analogs were docked to the active site of DNA gyrase, the prime target of ciprofloxacin type antibiotics. Prior to docking all the structures were optimized using MM2 force field parameters...

AI scribes as novice performers: Insights from simulation science

A Focus on Simulation in Medical Informatics

This special issue of JAMIA addresses simulation, a methodology that holds great promise for the advancement of information technology in health care. Simulation has been termed a third domain, complementing both natural language and mathem...

Diffusion on social networks: Survey data from rural villages in central China

Empirical studies on social diffusions are often restricted by the access to data of diffusion and social relations on the same objects. We present a set of first-hand data that we collected in ten rural villages in central China through ho...

Computational Neuroscience

The ultimate aim of computational neuroscience is to explain how electrical and chemical signals are used in the brain to represent and process information. This goal is not new, but much has changed in the last decade. More is known now ab...

Emerging mutations in envelope protein of SARS-CoV-2 and their effect on thermodynamic properties

Structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are potential drug targets due to their role in the virus life cycle. The envelope (E) protein is one of the structural proteins; plays a critical role in v...

Full-scale simulations to improve disaster preparedness in hospital pharmacies

Abstract Purpose Assess whether full-scale simulation exercises improved hospital pharmacies’ disaster preparedness. Methods Swiss hospital pharmacies performed successive full-scale simulation exercises at least four months apart. An inter...

Public Administration

Marc Holzer and Richard W. Schwester have written a textbook that is distinct from the dozens of introductory public administration books now in the academic marketplace. Their vision is a unique blend of substance and style—a text that is ...

Simulation of international relations

Playing Games with International Relations

After reviewing the advantages and disadvantages in using simulations to teach International Relations, this paper develops pedagogy for using simulations to teach International Relations (IR) theory. After discussing methods for integratin...

Computer quantum chemical simulation of the interaction of magnesium phosphate with essential amino acids

As part of this work, a computer quantum chemical simulation of the interaction of magnesium phosphate with essential amino acids was carried out in order to determine the optimal stabilizer for Mg3(PO4)2 nanoparticles. Quantum chemical mod...

Landscape patterns and their spatial associations with ecosystem service balance: Insights from a rapidly urbanizing coastal region of southeastern China

Abstract: Assessing ecosystem service (ES) balance and exploring critical drivers are crucial for landscape management. However, a lack of understanding of the determinants of the ecosystem service supply–demand budget, their spillover effe...

Modeling financial interval time series.

In financial economics, a large number of models are developed based on the daily closing price. When using only the daily closing price to model the time series, we may discard valuable intra-daily information, such as maximum and minimum ...

Lightweight MS-DSCNN-AttMPLSTM for High-Precision Misalignment Fault Diagnosis of Wind Turbines

Wind turbine (WT) misalignment fault diagnosis is constrained by critical signal processing challenges: weak fault features, intense background noise, and poor generalization. This study proposes a lightweight method for high-precision faul...

A Literature Review on Challenges and Solutions for Smart and Sustainable Urban Mobility

Urban mobility is undergoing a rapid transition driven by digitalization, electrification, and automation. However, current research remains largely fragmented across specific technological domains, obscuring the interactions required for c...

The Research of SPAC System Model Based on Water Flow in Zoige Wetland

Abstract:This paper studied the water flow of SPAC system in Zoige wetland, so as to evaluate accurately and utilize suitably water resource of wetland. Based on the distinctive studies on the sub systems of soil plant atmosphere systems an...

Selection of Design Scheme for an Ultrahigh-Pressure Hydrostatic Extrusion Cylinder

In this study, the mechanical models of a multilayer combined extrusion cylinder and a steel-wire-winding extrusion cylinder were established and compared using a finite element simulation and existing experimental cases. This work provides...

Extrapolative prediction in multiphase flow pipelines: a multi-fidelity surrogate approach with stacking ensemble

Accurate extrapolation of multiphase flow behaviour in offshore pipelines is hindered by limited field data, simulator bias, and strong nonlinearities. A multi-fidelity surrogate approach with stacking ensemble is proposed to address these ...