Results 81 to 90 of about 858,188 (234)

Increasing sedentary time, minimum dietary energy requirements, and food security assessment

Applied Economic Perspectives and Policy, EarlyView.
Abstract We compute corrections for sedentary behavior in physical activity levels (PALs) and incorporate them along with corrections for over estimation of basal metabolic rates (BMRs) into threshold caloric intakes, known as minimum dietary energy requirements (MDERs).
Jacob Michels, Yacob Abrehe Zereyesus, John Beghin   +2 more
wiley   +1 more source

Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach

Nature and Science of Sleep, 2019
Aria Khademi,1–3 Yasser EL-Manzalawy,1,4 Lindsay Master,5 Orfeu M Buxton,5–9 Vasant G Honavar1–3,6,10,11 1College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA; 2Artificial ...
Khademi A, EL-Manzalawy Y, Master L, Buxton OM, Honavar VG   +4 more
doaj  

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

Person Identification and Relapse Detection From Continuous Recordings of Biosignals Challenge: Overview and Results

IEEE Open Journal of Signal Processing
This paper presents an overview of the e-Prevention: Person Identification and Relapse Detection Challenge, which was an open call for researchers at ICASSP-2023.
Athanasia Zlatintsi, Panagiotis P. Filntisis, Niki Efthymiou, Christos Garoufis, George Retsinas, Thomas Sounapoglou, Ilias Maglogiannis, Panayiotis Tsanakas, Nikolaos Smyrnis, Petros Maragos   +9 more
doaj   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Extra-auditory effects of noise in laboratory animals: the relationship between noise and sleep [PDF]

J Am Assoc Lab Anim Sci 46, 1 (2007) 35-41, 2008
Noise has both auditory and extra-auditory effects. Some of the most deleterious extra-auditory effects of noise are those leading to sleep disturbances. These disturbances seem to be related to both endogenous (physical parameters) and exogenous (sex, age) factors of noise.
arxiv  

Autonomous Navigation of Bio‐Intelligent Cyborg Insect Based on Insect Visual Perception

Advanced Intelligent Systems, EarlyView.
The bio‐intelligent cyborg insect (BCI) introduces a noninvasive ultraviolet‐based control method, leveraging natural sensory behaviors for adaptive navigation. By integrating biological and artificial intelligence, BCI minimizes habituation and enhances locomotion in complex environments.
Chowdhury Mohammad Masum Refat, Mochammad Ariyanto, Ryo Tanaka, Kotaro Yamamoto, Keisuke Morishima   +4 more
wiley   +1 more source

Acute symptomatic epi attacks in the Operation of emergency medical service: Case report [PDF]

ABC: časopis urgentne medicine, 2016
INTRODUCTION: Acute symptomatic epi attacks are attacks that are provoked by temporary action of systemic, metabolic, toxic and other factors with epileptogenic effect (high febrility, hypoglycemia, hypoxia, alcohol, lack of sleep, etc.) or they occur ...
Đurđević Ljiljana
doaj  

Biologically inspired sleep algorithm for artificial neural networks [PDF]

arXiv, 2019
Sleep plays an important role in incremental learning and consolidation of memories in biological systems. Motivated by the processes that are known to be involved in sleep generation in biological networks, we developed an algorithm that implements a sleep-like phase in artificial neural networks (ANNs).
arxiv  

“Who's breaking the law … not us, them!”: Inside immigration detention in Portugal

American Journal of Community Psychology, EarlyView.
Abstract In this paper, we examine immigration detention in Portugal, a system whose daily operations and inherent violence are overlooked in both public and academic discourses. Even within community psychology, discussions on immigration detention have largely remained on the fringes of scholarly debates. Guided by a justice‐centered ecological lens,
Francesca Esposito, Federica de Lellis, Federica De Cordova, Erica Briozzo   +3 more
wiley   +1 more source