Preface to Special Issue on Scientific Computing and Learning Analytics for Smart Healthcare Systems (Part II) by Chinmay Chakraborty, Sayonara Barbosa, Lalit Garg

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Evaluation of the relation between the pulp stones and direct restorations using cone beam computed tomography in a Turkish subpopulation by Güzide Pelin Sezgin, Sema Sönmez Kaplan, Tuna Kaplan

“…ObjectivesThis study aimed to assess the presence of pulp stones through an examination of cone beam computed tomography images and correlate their prevalence with age, sex, dental arch and side, tooth type, and restoration type and depth.Materials and MethodsCone beam computed tomography images obtained from 673 patients and archival data on 11,494 teeth were evaluated. …”
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Real time database system data security collection scheme by Zhenyang SHANG, Ruixian YANG

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A Selective Overview of Quantile Regression for Large-Scale Data by Shanshan Wang, Wei Cao, Xiaoxue Hu, Hanyu Zhong, Weixi Sun

Subjects: “…large-scale data…”
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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

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Grapes leaf disease dataset for precision agricultureMendeley Data by Madhuri Dharrao, Nilima Zade, R. Kamatchi, Rakesh Sonawane, Rabinder Henry, Deepak Dharrao

“…Overall, this open-access resource provides a valuable foundation for computer vision, machine learning, and agricultural technology researchers aims to enhance disease management practices in grape production. thus, this is an effective source of data for future studies and real-world applications in sustainable grape production.…”
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Enhancing healthcare data privacy and interoperability with federated learning by Adil Akhmetov, Zohaib Latif, Benjamin Tyler, Adnan Yazici

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On $[1,2]$-Domination in Interval and Circle Graphs by Mohsen Alambardar Meybodi, Abolfazl Poureidi

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Optimal Space Lower Bound for Deterministic Self-Stabilizing Leader Election Algorithms by Lélia Blin, Laurent Feuilloley, Gabriel Le Bouder

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Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data by Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu

“…We identified the sensitive index of short wavelength infra-red (SWIR) from satellite observations for detecting changes in building construction, demolition, and reconstruction. Comparing composite results at different temporal intervals revealed that monthly data is more effective in accurately characterizing building changes compared to daily and yearly intervals. …”
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality by Tingting Zhang, Jing Li, Jinpeng Tong, Yihu Song, Li Wang, Renye Wu, Xuan Wei, Yuanyuan Song, Rensen Zeng

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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…During Approximate Entropy computation, these preprocessed data points are used as inputs. …”
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From Tutte to Floater and Gotsman: On the Resolution of Planar Straight-line Drawings and Morphs by Giuseppe Di Battista, Fabrizio Frati

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Game-Related Statistics in the Spanish Water Polo League: Differences between Seasons (Estadísticas de partido en la Liga Española de Waterpolo: Diferencias entre temporadas) by María del Carmen Iglesias Pérez, Enrique García Ordóñez, Carlos Touriño González

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Source Apportionment and Ecological-Health Risk Assessments of Potentially Toxic Elements in Topsoil of an Agricultural Region in Southwest China by Yangshuang Wang, Shiming Yang, Denghui Wei, Haidong Li, Ming Luo, Xiaoyan Zhao, Yunhui Zhang, Ying Wang

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A novel computational approach for predicting complex phenotypes in Drosophila (starvation-sensitive and sterile) by deriving their gene expression signatures from public data. by Dobril K Ivanov, Gerrit Bostelmann, Benoit Lan-Leung, Julie Williams, Linda Partridge, Valentina Escott-Price, Janet M Thornton

“…We present a novel proof-of-principal computational approach for combining publicly available gene-expression data from control/mutant animal experiments that exhibit a particular phenotype, and we use this approach to predict unobserved phenotypic characteristics in new experiments (data derived from EBI's ArrayExpress and ExpressionAtlas respectively). …”
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E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data by Hua Yu, Yunjie Liu, Zhouming Zhang, Guanglei Xie, Jingyu Liu, Yijia Liu, Siyue He, Zhiwei Peng, Lu Lu, Fei Li, Xi Wang

“…Summary: Here, we present a computational framework, E3RC, for exploring enhancer RNA (eRNA) expression and regulation using conventional RNA sequencing (RNA-seq) data. …”
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Encouraging reusability of computational research through Data-to-Knowledge Packages - A hydrological use case [version 2; peer review: 2 approved] by Markus Konkol, Sami Domisch, Astra Labuce, Vanessa Bremerich, Merret Buurman

“…To address this challenge, we introduce the Data-to-Knowledge Package (D2K-Package), a collection of research materials including source code and open FAIR data, virtual labs, web API services, and computational workflows. …”
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MITSGRN: A Novel Computational Framework for Reconstructing Sleep Rhythm Gene Regulatory Networks Based on Mutual Information and Time-Series Big Data by Zhenyu Liu, Jiangqian Zuo, Qian Cao, Zheng Lu, Tao Li

“…In this study, we propose an innovative computational framework for gene regulatory network (GRN) reconstruction based on mutual information and large-scale time-series data. …”
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