Results 71 to 80 of about 2,726 (189)

From Efficiency to Illness: Do Highly Automatable Jobs Take a Toll on Health in Germany?

Industrial Relations Journal, EarlyView.
ABSTRACT Automation transforms work at a rapid pace, with gradually increasing shares of the workforce at risk of being replaced by machines. However, little is known about how this risk is affecting workers. In this study, we examine the relationship between exposure to high automation risk at work and both subjective (self‐reported health, anxiety ...
Mariia Vasiakina, Christian Dudel
wiley   +1 more source

A new physarum learner for network structure learning from biomedical data [PDF]

, 2013
A novel structure learning algorithm for Bayesian Networks based on a Physarum Learner is presented. The length of the connections within an initially fully connected Physarum-Maze is taken as the inverse Pearson correlation coefficient between the ...
Lang, E. W., Schön, T., Stetter, M., Tomé, A. M.   +3 more
core   +1 more source

Wearable Electronic Monitoring of Vital Signs in Hospitalised Adults: A Nursing Focused Scoping Review of Clinical, Economic and Implementation Outcomes

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To synthesise evidence on wearable devices for continuous vital signs monitoring in adult hospital inpatients, focusing on clinical effectiveness, nursing perspectives, workflow impact, patient experience and resource implications. Design Scoping review.
Sian Myfanwy Shaw, Sophie Bethan Shaw, Gillian Janes   +2 more
wiley   +1 more source

Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA)

Results in Engineering
This paper sets pioneering research which investigates the parametric identification of thermoelectric modules (TEMs) through the employment of enhanced slime mould algorithm (ESMA).
Dharswini Ponnalagu, Mohd Ashraf Ahmad, Julakha Jahan Jui   +2 more
doaj   +1 more source

How Are Skills Changing with Digital Technologies? Clarifying Boundary Conditions in Management Research

Journal of Management Studies, EarlyView.
Abstract This article contributes to discussions about the future of work by providing a systematic review of the broad yet fragmented management literature on how skills are changing with digital technologies (DTs). Our aim was to understand the nature of scholarly engagement with this relationship to inform a future research agenda.
Damian Grimshaw, Marcela Miozzo
wiley   +1 more source

Adaptive slime mould algorithm for optimal design of photovoltaic models

Energy Science & Engineering, 2022
Solar energy is becoming more popular as it is a clean source of electricity. The design of photovoltaic (PV) cells has therefore captivated experts worldwide.
Haiping Lin, Iman Ahmadianfar, Noorbakhsh Amiri Golilarz, Mehdi Jamei, Ali Asghar Heidari, Fangjun Kuang, Siyang Zhang, Huiling Chen   +7 more
doaj   +1 more source

Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon

Energy Reports, 2021
This document proposes a method for determining the optimal point of integration of PV Generated into the electricity grid. The Slime mould optimization algorithm ( SMOA) is applied to determine the best node in the case of one and two injection points ...
F. Fissou Amigue, S. Ndjakomo Essiane, S. Perabi Ngoffe, G. Abessolo Ondoa, G. Mengata Mengounou, P.T. Nna Nna   +5 more
doaj   +1 more source

Beyond the Adult Mind: A Developmental Framework for Predictive Processing in Infancy

Topics in Cognitive Science, EarlyView.
Abstract Predictive Processing has been proposed as the single unifying computation underlying all of cognition, and proponents argue that all psychological phenomena can be explained as consequences of this principle. This theoretical framework has inspired many cognitive scientists and neuroscientists, but it currently has no developmental mechanism ...
Emma K. Ward, Danaja Rutar, Lorijn Zaadnoordijk, Francesco Poli, Sabine Hunnius   +4 more
wiley   +1 more source

Surrogate-Assisted Slime Mould Algorithm Considering a Dual-Based Merit Criterion for Global Database Management

Algorithms
Metaheuristic algorithms, including evolutionary approaches, are vital for solving non-trivial and non-convex optimization problems. However, real-world engineering often involves high-dimensional, expensive problems that deteriorate performance due to ...
Pedro Bento, José Pombo, Hugo Nunes, Maria Calado, Sílvio Mariano   +4 more
doaj   +1 more source

The hybridized Harris hawk optimization and slime mould algorithm

Journal of Physics: Conference Series, 2020
Abstract Both the Harris hawk optimization (HHO) algorithm proposed in 2016 and the slime moud algorithm proposed recently had complicated disciplines for individuals to update their positions. And both of them were proved to be capable of finding the best solutions for either benchmark functions or real engineering problems.
Juan Zhao, Zheng-Ming Gao
openaire   +1 more source