Results 51 to 60 of about 258,840 (301)

Experimental dataset of charge and discharge patterns in a 1200Ah OpzS battery bankZenodo

open access: yesData in Brief
This dataset was generated from experiments on a bank of six 1200 Ah OPzS stationary batteries connected in series to form a 12 V storage system. Each cell was monitored for voltage, temperature, and electrolyte density using a DataTaker DT85M recorder ...
Javier Rocha   +2 more
doaj   +1 more source

Optimizing Team Sport Training With Multi-Objective Evolutionary Computation

open access: yesInternational Journal of Computer Science in Sport, 2021
This research introduces a new novel method for mathematically optimizing team sport training models to enhance two measures of athletic performance using an evolutionary computation based approach.
Connor Mark   +4 more
doaj   +1 more source

Artificial selection methods from evolutionary computing show promise for directed evolution of microbes

open access: yeseLife, 2022
Directed microbial evolution harnesses evolutionary processes in the laboratory to construct microorganisms with enhanced or novel functional traits. Attempting to direct evolutionary processes for applied goals is fundamental to evolutionary computation,
Alexander Lalejini   +3 more
doaj   +1 more source

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

open access: yesFEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source

Molecular bases of circadian magnesium rhythms across eukaryotes

open access: yesFEBS Letters, EarlyView.
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley   +1 more source

Design Exploration of Initial Bubbles for Higher-Speed Laser-Induced Microjets

open access: yesIEEE Access, 2023
Laser-induced microjets are advantageous for yielding high-speed and convergent microjets shape. However, owing to the need for high-power laser devices, reducing the required laser power is a prerequisite for convenience in practical use.
Tatsumasa Ishikawa   +2 more
doaj   +1 more source

Computation Environments, An Interactive Semantics for Turing Machines (which P is not equal to NP considering it) [PDF]

open access: yes, 2012
To scrutinize notions of computation and time complexity, we introduce and formally define an interactive model for computation that we call it the \emph{computation environment}.
Ramezanian, Rasoul
core  

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

open access: yesFEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches With Various Strategies for Feature Selection

open access: yesIEEE Access, 2020
Binary butterfly optimization approach (bBOA) is a recent high performing feature selection algorithm presented in 2018 which is based on the food foraging behavior of butterflies.
Bo Zhang   +4 more
doaj   +1 more source

GA Approach to Optimize Training Client Set in Federated Learning

open access: yesIEEE Access, 2023
Federated learning, where the distribution of distributed data is unknown, is more difficult and costly to train a central model with than traditional machine learning.
Dongseok Kang, Chang Wook Ahn
doaj   +1 more source

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