Self-learning differential evolution algorithm for dynamic polycentric problems by Xing-bao LIU, Jian-ping YIN, Chun-hua HU, Rong-yuan CHEN

“…A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.…”
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Evolution of chemokine receptors is driven by mutations in the sodium binding site. by Bruck Taddese, Madeline Deniaud, Antoine Garnier, Asma Tiss, Hajer Guissouma, Hervé Abdi, Daniel Henrion, Marie Chabbert

“…These residues are part of the allosteric sodium binding site. Their structural and functional roles were investigated by molecular dynamics simulations of CXCR4 and CCR5 as prototypes of homeostatic and inflammatory chemokine receptors, respectively. …”
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Divergent evolution of slip banding in CrCoNi alloys by Bijun Xie, Hangman Chen, Pengfei Wang, Cheng Zhang, Bin Xing, Mingjie Xu, Xin Wang, Lorenzo Valdevit, Julian Rimoli, Xiaoqing Pan, Penghui Cao

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Identification, Evolution and Expression Analyses of the Hox Family in Procambarus clarkii by Xiaoyu WEI, Qian HU, Zemao GU, Yanhe LI

“…In addition to the lab gene, the relative expression of Hox genes in different tissues of female crayfish was generally higher than that in different tissues of male crayfish.In summary, this study used bioinformatics methods to perform genome-wide identification, protein structure analysis, amino acid sequence analysis, physical and chemical properties analysis, subcellular localization prediction, collinearity analysis, phylogenetic analysis, adaptive evolution analysis, and expression analysis of Hox genes in early developmental stages and different tissues of adult crayfish. …”
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Fully Automated Software Product Line Evolution With Diverse Artifacts by Jakub Perdek, Valentino Vranic

“…Specifically, fully automated knowledge-driven software product line evolution provides various views on an existing software product line, its variants, and their evolution through semantic and structural information accompanied by the time and order of the performed changes. …”
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The Evolution of Digital Security by Design Using Temporal Network Analysis by Lowri Williams, Hamza Khan, Pete Burnap

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Inferring Diversity and Evolution in Fish by Means of Integrative Molecular Cytogenetics by Roberto Ferreira Artoni, Jonathan Pena Castro, Uedson Pereira Jacobina, Paulo Augusto Lima-Filho, Gideão Wagner Werneck Félix da Costa, Wagner Franco Molina

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Evolution endodontic obturation of systems as indicator of technical progress in stomatology

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An Evolution Model of Trading Behavior Based on Peer Effect in Networks by Yue-Tang Bian, Lu Xu, Jin-Sheng Li, Jian-Min He, Ya-Ming Zhuang

“…Our results indicate that the evolution of investors' behavior is affected by the network structure of stock market and the effect of neighboring preferred degree; the stability of equilibrium states of investors' behavior dynamics is directly related with the concavity and convexity of the peer effect function; connectivity and heterogeneity of the network play an important role in the evolution of the investment behavior in stock market.…”
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Evolution of “Academic Sector” of Soviet Historical Science in 1920s—1960s. by O. V. Metel

“…The evolution of the “academic sector” of Soviet historical science is analyzed, the process of its formation and subsequent development is considered. …”
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Evolution of green in-situ generated polyamide nanofibers controlled by viscoelasticity by R. Hosseinnezhad, I. Vozniak, J. Morawiec, A. Galeski

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The technical milieu and its evolution: Uexküll, Kapp, Cassirer, Simondon by Christopher Loughnane

“…In a world increasingly structured by digital and algorithmic systems, this article argues that technics is a constitutive element of how humans understand and inhabit different environments, whether physical or virtual. …”
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Time Evolution of Bacterial Resistance Observed with Principal Component Analysis by Claudia P. Barrera Patiño, Mitchell Bonner, Andrew Ramos Borsatto, Jennifer M. Soares, Kate C. Blanco, Vanderlei S. Bagnato

“…<b>Background/Objectives</b>: In recent work, we have demonstrated that principal component analysis (PCA) and Fourier Transformation Infrared (FTIR) spectra are powerful tools for analyzing the changes in microorganisms at the biomolecular level to detect changes in bacteria with resistance to antibiotics. Here biochemical structural changes in <i>Staphylococcus aureus</i> were analyzed over exposure time with the goal of identifying trends inside the samples that have been exposed to antibiotics for increasing amounts of time and developed resistance. …”
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Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions by Idris Temitope Bello, Hassan Raza, Alabi Tobi Michael, Madithedu Muneeswara, Neha Tewari, Wang Bingsen, Yin Nee Cheung, Zungsun Choi, Steven T. Boles

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The evolution of the ‘Carpathian Basin’ discourse in the Hungarian parliament (1998-2020) by Katona Eszter, Németh Renáta, Unger Anna

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The mysterious sense of smell: evolution, historical perspectives, and neurological disorders by Thomas Brandt, Doreen Huppert, Doreen Huppert

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The Agave genus in the genomics era: evolution, biodiversity, and sustainable innovation by Dolores Javier Sánchez González

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Virulence Evolution via Pleiotropy in Vector‐Borne Plant Pathogens by Elise Woodruff, Nate B. Hardy

“…Here, we use individual‐based, quantitative‐genetic simulations to investigate how virulence evolution depends on genetic trade‐offs and population structure. …”
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A neural network model for the evolution of reconstructive social learning by Jacob Chisausky, Inès Marguerite Daras, Franz J. Weissing, Magdalena Kozielska

“…Abstract Learning from others is an important adaptation. However, the evolution of social learning and its role in the spread of socially transmitted information are not well understood. …”
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The Dynamical Evolution Parameter in Manifestly Covariant Quantum Gravity Theory by Claudio Cremaschini

“…A remarkable feature of manifestly covariant quantum gravity theory (CQG-theory) is represented by its unconstrained Hamiltonian structure expressed in evolution form. This permits the identification of the corresponding dynamical evolution parameter advancing the quantum-wave equation for the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>4</mn><mo>−</mo></mrow></semantics></math></inline-formula>scalar quantum wave function defined on an appropriate Hilbert space. …”
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