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Modeling Organizations with Evolutionary Algorithms [PDF]

open access: yes, 1997
中辻卯ー教授古稀記念特
Araki Takaharu, 荒木 孝治
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser   +6 more
wiley   +1 more source

A Chaotic System with Infinite Equilibria and Its S-Box Constructing Application

open access: yesApplied Sciences, 2018
Systems with many equilibrium points have attracted considerable interest recently. A chaotic system with a line equilibrium has been studied in this work. The system has infinite equilibria and exhibits coexisting chaotic attractors.
Xiong Wang   +5 more
doaj   +1 more source

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

open access: yesApplied Sciences, 2020
Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have used these techniques to analyze issues in this field.
Deliang Sun   +6 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

EmiR: Evolutionary minimization for R

open access: yesSoftwareX, 2022
Classical minimization methods, like the steepest descent or quasi-Newton techniques, have been proved to struggle in dealing with optimization problems with a high-dimensional search space or subject to complex nonlinear constraints. In the last decade,
Davide Pagano, Lorenzo Sostero
doaj   +1 more source

Evolutionary algorithms in dynamic environments [PDF]

open access: yes, 2006
The file attached to this record is the author's final peer reviewed version.Evolutionary algorithms (EAs) are widely and often used for solving stationary optimization problems where the fitness landscape or objective function does not change during the
Wang, Dingwei   +2 more
core  

Evolutionary Algorithms Applied to Landau-Gauge Fixing

open access: yes, 1998
Current algorithms used to put a lattice gauge configuration into Landau gauge either suffer from the problem of critical slowing-down or involve an additional computational expense to overcome it.
Bali   +10 more
core   +2 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

open access: yesMolecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath   +13 more
wiley   +1 more source

Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations

open access: yesApplied Sciences, 2020
Seepage is one of the most challenging issues in some procedures such as design, construction, and operation of embankment or earth fill dams. The purpose of this research is to develop a new solution based on governing equations to solve the seepage ...
Dongchun Tang   +6 more
doaj   +1 more source

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