Results 81 to 90 of about 71,942 (280)
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran +2 more
wiley +1 more source
Proposing an Improved Version of the Bat Algorithm [PDF]
The bat algorithm is an example of meta-heuristic algorithms from the collective swarm intelligence, which is based on the echolocation behavior of bats.
Davar Giveki +2 more
doaj +1 more source
ABSTRACT Three categories of explanations exist for why we age: mechanistic theories, which omit reference to evolutionary forces; weakening force of selection theories, which posit that barriers exist that prevent evolutionary forces from optimising fitness in ageing; and optimisation theories, which posit that evolutionary forces actually select for ...
Michael S. Ringel
wiley +1 more source
Increasing network lifetime by battery-aware master selection in radio networks [PDF]
Mobile wireless communication systems often need to maximize their network lifetime (defined as the time until the first node runs out of energy). In the broadcast network lifetime problem, all nodes are sending broadcast traffic, and one asks for an ...
Graaf, Maurits de +1 more
core +1 more source
The spread of non‐native species
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
BAT-CLARA: BAT-inspired algorithm for Clustering LARge Applications
Abstract Bat algorithm is a new nature-inspired metaheuristic optimization algorithm introduced by Yang in 2010, especially based on echolocation behavior of microbats when searching their prey. Firstly, this algorithm is used to solve various continuous optimization problems. Clustering remains one of the most difficult challenges in data mining. In
Yasmine Aboubi +2 more
openaire +1 more source
Short Gamma-Ray Bursts with Extended Emission Observed with Swift/BAT and Fermi/GBM
Some short GRBs are followed by longer extended emission, lasting anywhere from ~10 to ~100 s. These short GRBs with extended emission (EE) can possess observational characteristics of both short and long GRBs (as represented by GRB 060614), and the ...
Bostanci, Z. F. +3 more
core +1 more source
Infection Risk From Humans and Animals in the Anatomy Laboratory: A Scoping Review
ABSTRACT Whole‐body dissection is a cornerstone of anatomy education. During and following the COVID‐19 pandemic, exposure to infectious agents and other risks of dissection were highlighted. To identify potential risks, one must have the data outlining these risks in specific situations.
Margaret A. McNulty, Elizabeth R. Agosto
wiley +1 more source
ABSTRACT In this study, a bacterium (NEIST_PMIB_06) was isolated from Hawaijar, a fermented soy food from Manipur, Northeast India. The bacterium was inoculated and incubated to isolate bioactive compounds. Liquid‐liquid extraction was performed to obtain extracts (cell‐free and cell‐based), and their efficacy was evaluated.
A Ibeyaima +2 more
wiley +1 more source
Heterogeneity in Short Gamma-ray Bursts
We analyze the Swift/BAT sample of short gamma-ray bursts, using an objective Bayesian Block procedure to extract temporal descriptors of the bursts' initial pulse complexes (IPCs). The sample comprises 12 and 41 bursts with and without extended emission
Berger +27 more
core +1 more source

