Yu Zhou¹, Bosong Lin¹, Siqi Hu², Dandan Yu^3,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 161-182, 2024, DOI:10.32604/cmc.2024.047836

Abstract This paper addresses the problem of predicting population density leveraging cellular station data. As wireless communication devices are commonly used, cellular station data has become integral for estimating population figures and studying their movement, thereby implying significant contributions to urban planning. However, existing research grapples with issues pertinent to preprocessing base station data and the modeling of population prediction. To address this, we propose methodologies for preprocessing cellular station data to eliminate any irregular or redundant data. The preprocessing reveals a distinct cyclical characteristic and high-frequency variation in population shift. Further, we devise a multi-view enhancement model grounded on the… More >

Koren Hyogene Kwag^1,*, Ibrahim Kak¹, Ying Li², Walid Khass¹, Alec McKechnie¹, Oksana Nulman¹, Brande Brown¹, Manoj Chhabra¹

Congenital Heart Disease, Vol.19, No.1, pp. 107-121, 2024, DOI:10.32604/chd.2024.045953

Abstract Objective: Accurate measurement of QT interval, the ventricular action potential from depolarization to repolarization, is important for the early detection of Long QT syndrome. The most effective QT correction (QTc) formula has yet to be determined in the pediatric population, although it has intrinsically greater extremes in heart rate (HR) and is more susceptible to errors in measurement. The authors of this study compare six different QTc methods (Bazett, Fridericia, Framingham, Hodges, Rautaharju, and a computer algorithm utilizing the Bazett formula) for consistency against variations in HR and RR interval. Methods: Descriptive Retrospective Study. We included participants from a pediatric… More >

Tao Liu¹, Lin Liu¹, Zeyu Chen^1,*, Rong Fu^2,*

International Journal of Mental Health Promotion, Vol.26, No.2, pp. 127-138, 2024, DOI:10.32604/ijmhp.2023.045071

Abstract Mobile young white-collar workers not only have the characteristics of mobile young people, but also have the characteristics of general white-collar workers. Under the influence of both, their mental health may be suffering from “double disadvantage”. So, based on an ecological model of the stress process, this paper tries to use the data of the questionnaire on the mental health of mobile young white-collar workers in Zhejiang Province to explore the influence of some factors in the middle workplace and residence place on the mental health of micro individuals. The results show that: (1) The working environment with high control… More >

Dandan Wang, Xiaohong Li, Yanwen Zhang^*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 355-369, 2024, DOI:10.32604/phyton.2024.047183

Abstract Taxus cuspidata is a rare plant with important medicinal and ornamental value. Aiming at the obvious differences between wild and cultivated populations of T. cuspidata from Northeast China, a total of 61 samples, that is, 33 wild yews and 28 cultivated yews were used to analyze the differences and correlations of the kinship, genetic diversity, and genetic structure between them by specific length amplified fragment sequencing (SLAF-seq). Finally, 470725 polymorphic SLAF tags and 58622 valid SNP markers were obtained. Phylogenetic analysis showed that 61 samples were classified into 2 clusters: wild populations and cultivated populations, and some wild yews were… More >

Aisa Zulibiya^1,2,#, Jing Wen^3,#, Huiqing Yu^3,#, Xiaoming Chen³, Lei Xu³, Xiao Ma^1,2, Baojian Zhang^1,2,*

Congenital Heart Disease, Vol.18, No.6, pp. 611-625, 2023, DOI:10.32604/chd.2023.047689

Abstract Background: Tetralogy of Fallot (TOF) is a very common cyanotic congenital heart disease. Endothelial-to-mesenchymal transition (EndoMT) is recognized as a physiological mechanism involved in embryonic heart development and endothelial formation. However, there is still a gap in the reports related to the mechanism of EndoMT development in TOF. Methods: First, transcriptomic data of single cell nuclei of TOF and Donor were obtained based on the Gene Expression Omnibus (GEO) database, and the data were normalized and clustered by dimensionality reduction using the Seurat package. Subsequently, differentially expressed genes (DEGs) between TOF and Donor were screened using the “FindMarkers” function, and… More >

Yajun Liang^1,2,#, Juyun Zheng^1,#, Junduo Wang^1,#, Zhaolong Gong¹, Zhiqiang Li³, Ling Min⁴, Zeliang Zhang², Zhiwei Sang², Yanying Qu², Xueyuan Li^1,*, Quanjia Chen^2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3345-3357, 2023, DOI:10.32604/phyton.2023.028755

Abstract Upland cotton (Gossypium hirsutum) is the most important plant producing natural fibers for the textile industry. In this study, we first investigated the phenotypic variation of seven agronomic traits of 273 diverse cotton accessions in the years 2017 and 2018, which were from 18 geographical regions. We found large variations among the traits in different geographical regions and only half of the traits in either years 2017 or 2018 followed a normal distribution. We then genotyped the collection with 81,612 high quality SNPs. Phylogenetic tree and population structure revealed a diverse genetic structure of the core collection, and geographical diversification… More >

Chunlei Ruan^1,2,*, Cengceng Dong¹, Kunfeng Liang³, Zhijun Liu¹, Xinru Bao¹

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 3033-3049, 2024, DOI:10.32604/cmes.2023.030607

Abstract Using Euler’s first-order explicit (EE) method and the peridynamic differential operator (PDDO) to discretize the time and internal crystal-size derivatives, respectively, the Euler’s first-order explicit method–peridynamic differential operator (EE–PDDO) was obtained for solving the one-dimensional population balance equation in crystallization. Four different conditions during crystallization were studied: size-independent growth, size-dependent growth in a batch process, nucleation and size-independent growth, and nucleation and size-dependent growth in a continuous process. The high accuracy of the EE–PDDO method was confirmed by comparing it with the numerical results obtained using the second-order upwind and HR-van methods. The method is characterized by non-oscillation and high… More > Graphic Abstract

Xiaobao Yu^*, Kang Yang

Energy Engineering, Vol.120, No.12, pp. 2741-2760, 2023, DOI:10.32604/ee.2023.028041

Abstract Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict and analyze the load growth of the industrial park, an improved back-propagation algorithm is employed. Furthermore, the study classifies users within the industrial park according to their specific power consumption and supply requirements. This user segmentation allows for the introduction of three constraints: node voltage, wire current, and capacity of DERs. By incorporating these… More >

Chan Zhou^1,*, Nini Xie¹, Wenjun Rong¹, Zhuo Zhang², Linyou Lv³, Zhengwen Wang⁴

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3163-3176, 2023, DOI:10.32604/phyton.2023.030245

Abstract The effect of genotypic diversity on the age structure and bud bank of the Leymus chinensis population has not yet been demonstrated. This experiment was designed to study the age structure of the tiller, rhizome, and bud of L. chinensis at genotypic diversity levels of 1, 2, 4, 8, and 12. A total of 64 communities were established in this experiment, following the principle of randomized block experimental design. The results indicated that genotypic diversity had a significant or obviously significant effect on the cumulative length of rhizomes of 2a and 4a, dry matter accumulation of rhizomes of 1a and… More >

Ala Kana, Imtiaz Ahmad^*

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3443-3464, 2023, DOI:10.32604/cmc.2023.040775

Abstract A newly proposed competent population-based optimization algorithm called RUN, which uses the principle of slope variations calculated by applying the Runge Kutta method as the key search mechanism, has gained wider interest in solving optimization problems. However, in high-dimensional problems, the search capabilities, convergence speed, and runtime of RUN deteriorate. This work aims at filling this gap by proposing an improved variant of the RUN algorithm called the Adaptive-RUN. Population size plays a vital role in both runtime efficiency and optimization effectiveness of metaheuristic algorithms. Unlike the original RUN where population size is fixed throughout the search process, Adaptive-RUN automatically… More >