Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer by Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai, Kenta Nakai

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An Overview of AI Hardware Architectures and Silicon for 3-D Spatial Computing Systems by Dongseok Im, Gwangtae Park, Junha Ryu, Hoi-Jun Yoo

Subjects: “…3-D data analysis…”
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Development of Criteria for Assessing Nutritional Status in Moscow Children and Adolescents Using Bioimpedance Analysis Data by S. G. Rudnev, A. E. Ivanova, E. Z. Godina, A. V. Zubko, V. I. Starodubov

“…To develop the criteria for assessing nutritional status in Moscow children and adolescents using bioimpedance analysis data.Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of children and adolescents aged 5–17 in Moscow health centers from 2010 to 2019 by the method of bioimpedance analysis. …”
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Collective Praxis, Collaborative Publishing: The Case of the Data-Sitters Club by Anouk Lang, Katherine Bowers, Lee Bessette, Maria Sachiko Cecire, Quinn Dombrowski, Roopika Risam

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Combinatorial prediction of marker panels from single‐cell transcriptomic data by Conor Delaney, Alexandra Schnell, Louis V Cammarata, Aaron Yao‐Smith, Aviv Regev, Vijay K Kuchroo, Meromit Singer

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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…This paper endorses the technical implementation of machine learning in dry sulfation processes and provides insights into how computer systems perceive data characteristics and make forecasts.…”
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Computing ecosystem risk hotspots: A mediterranean case study by Gianpaolo Coro, Laura Pavirani, Anton Ellenbroek

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Composite Mapping for Peptide‐Based Data Storage with Higher Coding Density and Fewer Synthesis Cycles by Anxun Zhang, Longjie Wang, Xiaowei Zhai, Yao Xiao, Yanchan Wu, Yongxi Zhao, Kai Liu, Ji‐Shen Zheng, Dong Chen

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Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data by Mustapha Muhammad, Badamasi Abba, Jinsen Xiao

“…We practically demonstrate approximate Bayesian computation (ABC)-Gibbs scheme using Kolmogorov-Smirnov as distance function; this method is a simulation-based scheme, which the explicit formulation of the likelihood function is not required, hence, suitable for a complex model or big data, where the “accept-reject” mechanism is required for the posterior computation. …”
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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data by Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang

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Preliminary analysis and exploration of big data service for agriculture,countryside and farmers by Zhongfu SUN, Jinxiang CHU, Juncheng MA, Keming DU, Feixiang ZHENG

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Author Correction: Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index by Junseop Oh, Kyoung-Ho Kim, Ho-Rim Kim, Sunhwa Park, Seong-Taek Yun

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Relationship between 24-hour movement behaviors and executive function in preschool children based on compositional data analysis by Zhenya Chang, Ling Wang, Aifeng Zhu

“…EF was measured by a questionnaire (BRIEF-P), and compositional data analysis was employed. Results: (1) The relative time distribution among 24 h-MBs showed statistically significant associations with both EF and specific subdomains in preschool children (p < 0.05). (2) Moderate-to-Vigorous-intensity Physical Activity (MVPA) was significantly associated with inhibitory control (γ14 = −2.36, p = 0.002), working memory (γ14 = −2.78, p = 0.003), emotional control (γ14 = −1.30, p = 0.024), planning (γ14 = −1.83, p = 0.003), and EF (γ14 = −9.35, p = 0.003). (3) SB was significantly associated with working memory (γ12 = 3.99, p = 0.027) and EF (γ12 = 11.95, p = 0.047). (4) When MVPA was substituted for sleep, SB, and Light-intensity Physical Activity (LPA) for 15 min per day, there was a significant decrease in preschoolers' EF and many of its dimensions. …”
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The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

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Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis by Jiayu Li, Zhendiao Lin, Mengting Zou, Xin Feng, Yuanyue Liu

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Test of the relationship between adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis by Ning Wang, Ziyi Wang, Hui Liu, Yifeng Wang, Jinkun Li, Xiaobin Hong

“…This study investigated the dose‒response relationship between Chinese adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis (CoDA). Methods The temporal distribution of 24-h activity behaviors of 176 adolescents was objectively measured by accelerometers, and anxiety symptoms were assessed by the Self-Rating Anxiety Scale (SAS). …”
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Comparison of the results of the assessment of physical development with the data of the bioimpedance study of the body composition of secondary school students by I. E. Shtina, S. L. Valina, O. Yu. Ustinova

“…The assessment of physical development by the value of BMI SDS correlates with data on the body component composition. Bioimpedance analysis of body composition can be recommended as an additional method for assessing the nutritional status of children and adolescents.…”
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Digital Diplomacy: A Case Study of Foreign Relations of Mongolian and India in Social Media by Big Data Analysis and Computation by Shinetsetseg Jargalsaikhan, Shu-Chin Huang, I-Tung Shih

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COMPARATIVE ANALYSIS OF QUANTITATIVE COMPUTED TOMOGRAPHY DATA AND HISTOLOGICAL FINDINGS IN PATIENTS WITH GIANT CELL BONE TUMOR TREATED WITH DENOSUMAB by S. A. Tabakaev, I. G. Frolova, I. I. Anisenya, N. V. Vasilyev, A. V. Bogoutdinova, P. K. Sitnikov

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Reinforcement Learning for Data-driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration by Brian M. Kirk, Urvashi Rau, Ramyaa Ramyaa

“…Data processing consists of a sequence of calibration and analysis procedures where choices must be made about the sequence of procedures as well as the specific configuration of the procedure itself. …”
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