Evolutionary model of heterogeneous clustering wireless sensor networks based on local world theory by Xiu-wen FU, Wen-feng LI

“…Current research on the scale-free evolutionary model of wireless sensor networks (WSN) treated each network as a homogenous one and does not take into account the evolutionary characteristics of the network in realistic scenarios,thus leading to significant differences between homogenous networks and realistic ones.Therefore,based on local-world theory,a heterogonous evolution model of WSN in relation to cluster-structure,energy-sensitivity and dynamic behavior of WSN (e.g.…”
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Evolutionary model of heterogeneous clustering wireless sensor networks based on local world theory by Xiu-wen FU, Wen-feng LI

“…Current research on the scale-free evolutionary model of wireless sensor networks (WSN) treated each network as a homogenous one and does not take into account the evolutionary characteristics of the network in realistic scenarios,thus leading to significant differences between homogenous networks and realistic ones.Therefore,based on local-world theory,a heterogonous evolution model of WSN in relation to cluster-structure,energy-sensitivity and dynamic behavior of WSN (e.g.…”
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Population growth and environment as a self-organizing system by Peter M. Allen

“…In this paper we make clear the necessarily partial description that any particular model must provide, and show the importance of a multidisciplinary, holistic understanding, linking any particular model to the co-evolution of its environment. In addition, we show how evolutionary processes link the microscopic level of molecules through successive scales of structure and organization ultimately to the biosphere itself, to issues of climatic change, of biomes at the continental scale and atmospheric and oceanic circulation patterns. …”
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Practical Approach to Studying Evolutionary Methods for Setting Weight Coefficients of Artificial Neural Networks by D. O. Petrov

“…Software has been developed to demonstrate the neuroevolutionary approach using the example of the evolution of an artificial neural network of a given structure intended to control a simplified computer model of an autonomous vehicle. …”
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Strain-rate-driven shear mechanisms in additively manufactured CoCrFeMnNi chemically complex alloys by Shanshan Liu, Menglei Hu, Yuquan Meng, Lijun Xiao, Weidong Song

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Scaling Relations of Early-Type Galaxies in MOND by Robin Eappen, Pavel Kroupa

“…The results indicate that ETGs may originate in pairs in dense environments, with mergers subsequently producing elliptical structures that align well with the observed kinematic and morphological characteristics. …”
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Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli by Robert Schuetz, Lars Kuepfer, Uwe Sauer

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Evaluation of the Influence of Wind-Induced Dune Movement on Transmission Tower Lines by Shijun Wang, Wenyuan Bai, Yunfei Tian, Hailong Zhang, Hongchao Dun

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Wind Field Characteristics of the 13 June 2014 Downburst Event in Beijing Based on Meteorological Tower Records by Shi Zhang, Yibo Wang, Zengzhi Qian, Kexin Guo, Xiaoda Xu, Daxing Zhou, Qing Cao

“…Understanding the characteristics of downburst wind fields is crucial for studying structural resistance to downbursts. Based on measured data from the 325 m meteorological tower in Beijing, this paper investigates the spatiotemporal evolution of mean and fluctuating winds during a non-stationary downburst. …”
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Wind Speed Forecasting with Differentially Evolved Minimum-Bandwidth Filters and Gated Recurrent Units by Khathutshelo Steven Sivhugwana, Edmore Ranganai

“…Wind data are often cyclostationary due to cyclic variations, non-constant variance resulting from fluctuating weather conditions, and structural breaks due to transient behaviour (due to wind gusts and turbulence), resulting in unreliable wind power supply. …”
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Engineered sequestrins inhibit aggregation of pathogenic alpha-synuclein mutants by Linnea Charlotta Hjelm, Wojciech Paslawski, Christofer Lendel, Siri Flemming Svedmark, Per Svenningsson, Stefan Ståhl, Hanna Lindberg, John Löfblom

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Modeling Tidal Streams and Tidal Tails around Galaxies Using Deep Wendelstein Imaging Data by Jan-Niklas Pippert, Matthias Kluge, Ralf Bender

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Non‐enzymatic glycolysis and pentose phosphate pathway‐like reactions in a plausible Archean ocean by Markus A Keller, Alexandra V Turchyn, Markus Ralser

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The Isoforms of Ral Guanine Nucleotide Dissociation Stimulator (RalGDS) in LLC-PK1 Cells by Jingze Song, Na Li, Xinze Dong, Jianping Xie, Hongqiao Lai, Hengzhi Zhu, Kongwang He, Libin Wen, Sizhu Suolang, Qi Xiao

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Evolutionary analysis of genes associated with the sense of balance in semi-aquatic mammals by Yuehuan Dong, Qinguo Wei, Guolei Sun, Xiaodong Gao, Tianshu Lyu, Lidong Wang, Shengyang Zhou, Xibao Wang, Yongquan Shang, Lupeng Shi, Honghai Zhang

“…The sense of balance is crucial for mammalian locomotion, and in semi-aquatic mammals, the structural foundation of this sense (the vestibular system) shows distinct morphological adaptations to both aquatic and terrestrial environments compared to their terrestrial counterparts. …”
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(F, K)-Co-Doped Carbon Nitride for Enhanced Photocatalytic Hydrogen Production by Fuhong Bi, Guiming Ba, Junbo Yu, Huilin Hu, Jinhua Ye, Defa Wang

“…Carbon nitride (C₃N₄, CN) has been attracting extensive attention for its suitable band structure and stability, but the efficiency of photocatalytic hydrogen evolution is low due to insufficient visible-light absorption and rapid charge recombination. …”
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Assembly and analysis of stephania japonica mitochondrial genome provides new insights into its identification and energy metabolism by Ya Wu, Zhihao Sun, Zhaoyu Liu, Ting Qiu, Xiaojing Li, Liang Leng, Shilin Chen

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Tailoring Heat Treatment Strategies to Enhance Corrosion Resistance and Mechanical Performance of Low-Carbon Steel in Marine Environment by Basiru Philip Aramide, Tamba Jamiru, Taoreed Adesola Adegbola, Abimbola Patricia Idowu Popoola

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Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution by Zehao Jin, Mario Pasquato, Benjamin L. Davis, Tristan Deleu, Yu Luo, Changhyun Cho, Pablo Lemos, Laurence Perreault-Levasseur, Yoshua Bengio, Xi Kang, Andrea Valerio Macciò, Yashar Hezaveh

“…Correlation does not imply causation, but patterns of statistical association between variables can be exploited to infer a causal structure (even with purely observational data) with the burgeoning field of causal discovery. …”
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Correlation between macroscopic and microscopic mechanical behavior of tuff material under uniaxial compression by Jin Linlin, Ma Hongfa, Yu Jiang, Wang Feng, Yin Dawei, Qu Xiao, Yang Yingsong, Tao Minghao

“…In addition, the two-dimensional particle flow numerical model was constructed based on the PFC2D partition modeling method to analyze the evolution law of the internal structure of tuff from the perspective of mineral microstructure. …”
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