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Learning and Evolution in Neural Networks

Stefano Nolfi, Domenico Parisi, Jeffrey L. Elman • Adaptive Behavior (1994)

This article describes simulations on populations of neural networks that both evolve at the population level and learn at the individual level. Unlike other simulations, the evolutionary task (finding food in the environment) and the learn...

OPENALEX DOI: https://doi.org/10.1177/105971239400300102

Neural networks: an introduction

Kevin Warwick • Institution of Engineering and Technology eBooks (1995)

In this chapter, neural networks are discussed. The present field of neural networks links a number of closely related areas, such as parallel distributed processing, connectionism and neural computing, these being brought together with the...

OPENALEX DOI: https://doi.org/10.1049/pbce053e_ch1

A Heuristic Home Electric Energy Management System Considering Renewable Energy Availability

Victor J. Gutierrez-Martinez, Carlos A. Moreno-Bautista, Jose M. Lozano-Garcia, Alejandro Pizano-Martinez et al. • Energies (2019)

This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...

DOAJ Open Access (DOAJ) DOI: 10.3390/en12040671

Blind spots of randomized benchmarking under temporal correlations

Varun Srivastava, Abhinash Kumar Roy, Soumik Mahanti, Jasleen Kaur et al. • Physical Review Research (2026)

Randomized benchmarking (RB) is a widely adopted protocol for estimating the average gate fidelity in quantum hardware. However, its standard formulation relies on the assumption of temporally uncorrelated noise, an assumption often violate...

DOAJ Open Access (DOAJ) DOI: 10.1103/r1z5-ycqc

Physical Activity and Public Health

William L. Haskell, I-min M Lee, Russell R. Pate, Kenneth E. Powell et al. • Circulation (2007)

In 1995 the American College of Sports Medicine and the Centers for Disease Control and Prevention published national guidelines on Physical Activity and Public Health.The Committee on Exercise and Cardiac Rehabilitation of the American Hea...

OPENALEX Open Access DOI: https://doi.org/10.1161/circulationaha.107.185649

Prediction of cardiorrespiratory fitness by screen time in schoolchildrens

Amanda de Oliveira, Flávio Ricardo Guilherme, Stevan Ricardo dos Santos, Maria Teresa Martins Fávero et al. • Revista da Educação Física (2020)

The time spent in front of the screens, results in accumulations of sedentary behavior, which is related to health damages to adolescents, such as a low cardiorespiratory fitness. In this sense, this study aimed to predict cardiorespiratory...

DOAJ Open Access (DOAJ) DOI: 10.4025/jphyseduc.v31i1.3139

On the Biopolitics of Suicide

Zachary Gan • Canadian Journal for the Academic Mind (2023)

This essay critically examines the biopoliticization of suicide, challenging its framing as a public health issue which obscures its cultural and philosophical significance. Drawing from Michel Foucault’s theories of biopower, this essay ar...

DOAJ Open Access (DOAJ) DOI: 10.25071/2817-5344/52

LASIK Surgery

Megan Yu • Voices in Bioethics (2020)

Photo by Scott Van Daalen on Unsplash INTRODUCTION LASIK surgery, one of the most common elective procedures worldwide, aims to decrease or eliminate the need to wear glasses or contact lenses by reshaping the cornea’s curvature to re...

DOAJ Open Access (DOAJ)

Wild immunology

Amy B. Pedersen, Simon A. Babayan • Molecular Ecology (2011)

In wild populations, individuals are regularly exposed to a wide range of pathogens. In this context, organisms must elicit and regulate effective immune responses to protect their health while avoiding immunopathology. However, most of our...

OPENALEX DOI: https://doi.org/10.1111/j.1365-294x.2010.04938.x

Evidence of aberrant anti-epstein-barr virus antibody response, though no viral reactivation, in people with post-stroke fatigue

Isobel C. Mouat, Li Zhu, Alperen Aslan, Barry W. McColl et al. • Journal of Inflammation (2024)

Abstract Background Fatigue is a common complication of stroke that has a significant impact on quality of life. The biological mechanisms that underly post-stroke fatigue are currently unclear, however, reactivation of latent viruses and t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12950-024-00402-0

Efficacy and safety of biofilm dispersal by glycoside hydrolases in wounds

Whitni K. Redman, Garrett S. Welch, Avery C. Williams, Addyson J. Damron et al. • Biofilm (2021)

Novel anti-biofilm and dispersal agents are currently being investigated in an attempt to combat biofilm-associated wound infections. Glycoside hydrolases (GHs) are enzymes that hydrolyze the glycosidic bonds between sugars, such as those f...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.bioflm.2021.100061

Utilization of mobile health applications and determinant factors among health science students at Debre Markos University, northwest Ethiopia in 2022.

Gizaw Hailiye Teferi, Maru Meseret Tadele, Getaye Tizazu, Zegeye Regasa Hordofa et al. • PLoS ONE (2023)

BackgroundHigh penetration of smartphones and ownership among the young generation increased the utilization of mobile health applications for health management among university students more than ever. Compared to other health service prov...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0275689

Paradigm Shift in Natural Language Processing

Tianxiang Sun, Xiang-Yang Liu, Xipeng Qiu, Xuanjing Huang • Machine Intelligence Research (2022)

Abstract In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of tasks such as...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11633-022-1331-6

Transfer Learning in Natural Language Processing

Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)

The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/n19-5004