Modeling of torsional vibration in harmonic drives by Ryszard LENIOWSKI

Get full text

Digitally delivered cognitive behavioral therapy for insomnia (CBT-I) for patients with chronic pain and insomnia (The Back2Sleep Trial): study protocol for a randomized controlled... by Maria Louise Stage Olsen, Jonas Bloch Thorlund, Robert Zachariae, Werner Vach, Laila Bendix, Julie Jespersen, Preben Kidmose, Christine Parsons, Kristian Kidholm, Henrik Bjarke Vægter

Get full text

Entanglement induced by Heisenberg exchange between an electron in a nested quantum dot and a qubit with relative motion by Li-Che Lin, Seng Ghee Tan, Ching-Ray Chang, Shih-Jye Sun, Son-Hsien Chen

Get full text

Start & Stop: a PhysiCell and PhysiBoSS 2.0 add-on for interactive simulation control by Riccardo Smeriglio, Roberta Bardini, Alessandro Savino, Stefano Di Carlo

“…Abstract In computational biology, in silico simulators are vital for exploring and understanding the behavior of complex biological systems. …”
Get full text

Discovering spatiotemporal patterns of human outdoor activities with crowdsourced trajectory data by Ju Peng, Jianbo Tang, Min Deng, Huimin Liu, Zhiyuan Hu, Xingxiang Jiang, Jianbing Xiang, Xia Ning, Wenzhe Zhao

“…Specifically, we examine the underlying statistical mechanisms of activity distances and durations that shape outdoor behaviors, investigate temporal rhythms and user preferences across daily, weekly, and monthly scales, and identify statistically significant hotspots of arbitrary shapes, characterizing their spatial distributions and seasonal variations. …”
Get full text

Strategies to alleviate flickering: Bayesian and smoothing methods for deep learning classification in video by Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce Cox, Trevor Bihl

“…Purpose – Increasing reliance on autonomous systems requires confidence in the accuracies produced from computer vision classification algorithms. Computer vision (CV) for video classification provides phenomenal abilities, but it often suffers from “flickering” of results. …”
Get full text

Klatskin tumor (hilar cholangiocarcinoma) by Reddy Ravikanth, Denver Steven Pinto

“…Typically, these tumors are small, poorly differentiated, exhibit aggressive biologic behavior, and tend to obstruct the intrahepatic bile ducts. …”
Get full text

Neuromorphic Digital-Twin-Based Controller for Indoor Multi-UAV Systems Deployment by Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad

“…This study introduces a novel distributed cloud-edge framework for autonomous multi-unmanned aerial vehicle (UAV) systems that combines the computational efficiency of neuromorphic computing with nature-inspired control strategies. …”
Get full text

Research on SNN Learning Algorithms and Networks Based on Biological Plausibility by Bingqiang Huo, Fang Li, Siyu Peng, Hongwei Chen, Sudan Xin, Hongjun Wang

“…Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. These networks aim to replicate the spike-driven behavior of biological neurons, incorporating temporal dynamics alongside spatial inputs, potentially offering enhanced spatiotemporal processing capabilities compared to conventional artificial neural networks. …”
Get full text

Investigation of DC and Low-Frequency Noise Performance in GaN-on-Si Power MIS-HEMTs Over a Temperature Range of 4 K–420 K by Anant Johari, Ankur Gupta, Tian-Li Wu, Rajendra Singh

“…Furthermore, the LFN characteristics from 10 Hz to 100 KHz reveal a consistent 1/f noise behavior within the measured temperature domain. The trap density inferred from the LFN characteristics increases substantially by two orders of magnitude at deep cryogenic temperatures. …”
Get full text

From word models to executable models of signaling networks using automated assembly by Benjamin M Gyori, John A Bachman, Kartik Subramanian, Jeremy L Muhlich, Lucian Galescu, Peter K Sorger

“…Abstract Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to building computational models directly from natural language using automated assembly. …”
Get full text

Insights from the Absorption Coefficient for the Development of Polarizable (Multipole) Force Fields by Marion Sappl, András Szabadi, Philipp Honegger, Franziska König, Othmar Steinhauser, Christian Schröder

Get full text

An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…We perform a comparative performance analysis of these differential evolution variants, showing that while they exhibit similar statistical behavior, the Single-Objective real-parameter optimization (jSO) method produces the most accurate oblique decision trees and is second best in compactness. …”
Get full text

Digital assessments for children and adolescents with ADHD: a scoping review by Franceli L. Cibrian, Elissa M. Monteiro, Elissa M. Monteiro, Kimberley D. Lakes

“…Current research on assessment has begun to take a user-centered approach by actively involving participants to ensure the development of assessments that meet the needs of users (e.g., clinicians, teachers, patients).MethodsThe objective of this mapping review was to identify and categorize digital mental health assessments designed to aid in the initial diagnosis of ADHD as well as ongoing monitoring of symptoms following diagnosis.ResultsResults suggested that the assessment tools currently described in the literature target both cognition and motor behaviors. These assessments were conducted using a variety of technological platforms, including telemedicine, wearables/sensors, the web, virtual reality, serious games, robots, and computer applications/software.DiscussionAlthough it is evident that there is growing interest in the design of digital assessment tools, research involving tools with the potential for widespread deployment is still in the early stages of development. …”
Get full text

From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

Get full text

Social Work in Cybersecurity by Samah Monammed Albargi

“…Rather than being a purely technical domain, cyber-security is a complex and multi-dimensional field that requires comprehensive evaluations and understanding of human behavior, social dynamics, and prevailing organizational structures, especially considering the increasingly sophisticated nature of cybercrimes in today’s society. …”
Get full text

A Driving Simulator Investigation on the Aggressiveness of an Automatic Lane-Change System by Muhua Guan, Zheng Wang, Bo Yang, Chenchang Li, Kimihiko Nakano

Get full text

Designing and implementing SMILE: An AI-driven platform for enhancing clinical decision-making in mental health and neurodivergence management by Antonio Pesqueira, Maria Jose Sousa, Ruben Pereira, Mark Schwendinger

Get full text

An algorithm for indoor SARS-CoV-2 transmission by Daniel Maxin, Spencer Gannon

“…We propose a computer modeling approach for SARS-CoV-2 transmission that can be preferable to a purely mathematical framework. …”
Get full text

An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization by Hashibul Ahsan Shoaib, Md Anisur Rahman, Jannatul Maua, Ashifur Rahman, M. F. Mridha, Pankoo Kim, Jungpil Shin

Get full text