Artificial Intelligence in Advancing Algal Bioactive Ingredients: Production, Characterization, and Application by Bingbing Guo, Xingyu Lu, Xiaoyu Jiang, Xiao-Li Shen, Zihao Wei, Yifeng Zhang

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Classification of Continuous Sky Brightness Data Using Random Forest by Rhorom Priyatikanto, Lidia Mayangsari, Rudi A. Prihandoko, Agustinus G. Admiranto

“…Good handling of a pile of sky brightness data includes evaluation and classification of the data according to its quality and characteristics such that further analysis and inference can be conducted properly. …”
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Research on Data-driven PET-CT Gating Imaging Method by XU Shidong1, 2, 3, 4, SUN Xiaoli1, 3, 4, , LIU Shuangquan1, 3, 4, ZHENG Yushuang1, 3, 4, LI Mohan1, 3, 4, WEI Cunfeng1, 2, 3, 4

“…An improved data-driven gating method, partial data principal component analysis (PD-PCA), which optimizes the gating signal extraction approach and preprocesses the raw data was proposed. …”

Radar Sensor Data Fitting for Accurate Linear Sprint Modelling by Daniel Geneau, Patrick Cormier, Ming-Chang Tsai, Dana Agar-Newman, Seth Lenetsky, Marc Klimstra

“…Results: Significant differences (<i>p</i> < 0.001) were identified across the models in terms of goodness-of-fit and most FV metrics, with the sigmoid and polynomial functions demonstrating superior fit to the radar-collected velocity data. …”
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A Spatiotemporal Data Cube Approach to Classification of Variable Stars: A Catalog of Candidate Variable Stars from the TESS Full-frame Image Raw Data by Harry Qiang, Marina Kounkel, Sally Bass, Ryan Lingg, Logan Sizemore, Dylan Carroll, Brian Hutchinson, Keivan G. Stassun

“…We present a novel technique to identify variable stars in large surveys that performs classification not on the 1D light curves but on the spatiotemporal data cube. Such an approach can allow the model to better discriminate against the systematics in the background flux and consider the variability across the entire point-spread function, which can be advantageous to large surveys such as Transiting Exoplanet Survey Satellite (TESS). …”
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Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine le... by Jiajun Li, Nuo Xu, Leyin Hu, Jiayue Xu, Yifan Huang, Deqi Wang, Feng Chen, Yi Wang, Jiani Jiang, Yanggang Hong, Huajun Ye

“…Methods We performed a comprehensive multi-omics pan-cancer analysis of CCT5 across 33 cancer types, integrating bulk RNA-seq, single-cell RNA-seq (scRNA-seq), and spatial transcriptomics data. …”
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Operational Analysis of Power Generation from a Photovoltaic–Wind Mix and Low-Emission Hydrogen Production by Arkadiusz Małek, Andrzej Marciniak

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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…The satellite images contain enormous data that can be used in various applications. The analysis of the data is a tedious task due to the amount of data and the heterogeneity of the data. …”
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Unveiling the power of high-dimensional cytometry data with cyCONDOR by Charlotte Kröger, Sophie Müller, Jacqueline Leidner, Theresa Kröber, Stefanie Warnat-Herresthal, Jannis Bastian Spintge, Timo Zajac, Anna Neubauer, Aleksej Frolov, Caterina Carraro, DELCODE Study Group, Frank Jessen, Simone Puccio, Anna C. Aschenbrenner, Joachim L. Schultze, Tal Pecht, Marc D. Beyer, Lorenzo Bonaguro

“…To bridge this data analysis gap in HDC we develop cyCONDOR, an easy-to-use computational framework covering not only all essential steps of cytometry data analysis but also including an array of downstream functions and tools to expand the biological interpretation of the data. …”
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Investigating the determinants of productivity dynamics in Indian commercial banks: a DEA based Malmquist Index approach by Rashika Jain, Mohit Kumar Ojha, Vedmani Mishra

“…For this purpose, the study resorted to Data Envelopment Analysis based Malmquist Productivity Index. …”
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Disaggregate models with aggregate data: Two UrbanSim applications by Zachary Patterson, Marko Kryvobokov, Fabrice Marchal, Michel Bierlaire

“…While such data are not always easily available, most regions have readily available data in a more aggregate form, often at the level of traffic analysis zone (TAZ) or other municipal divisions. …”
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Algorithmic Support of Adaptive Automatic Control Systems with Data Compression by V. V. Alekseev, E. M. Antonyuk, I. E. Varshavskiy

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Unbiased machine learning-assisted approach for conditional discretization of human performances by Thepparit Banditwattanawong, Masawee Masdisornchote

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A computational approach and software package RNAexploreR for grouping RNA molecules of human genes by exon features by M. M. Yatskou, V. V. Skakun, V. V. Grinev

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Design and Implementation of an Integrated Management System for Backfill Experimental Data by Yunpeng Kou, Yuhang Liu, Guoqing Li, Jie Hou, Liming Luan, Hao Wang

“…Developing a data interface, having a built-in test formula and customizing a multidimensional data analysis enable the system to solve the problems in data collection, data accounting, and data analysis. …”
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Administrative penalties for infringements of a duty to protect personal data by Dobrosława Antonów

“…In this article features of these penalties, functions and construct are described. Conclusions arising from the analysis can compose a base for formulating assessments of the performances of this type of a public benefit focusing on the perspective of their significance as a new category of the State income.…”
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Research on technology of data encryption and search based on access broker by Guofeng WANG, Chuanyi LIU, Peiyi HAN, Hezhong PAN, Binxing FANG

“…Broker executed searchable encryption (BESE) scheme was proposed for the confidentiality issues of cloud application data.The scheme did not need to modify the cloud application or user habits,thus had strong applicability.Firstly,systematic and quantitative analysis on BESE scheme was conducted in terms of query expressiveness,performance and security.Then,the main challenges of BESE scheme including securely sharing index and encrypted data between brokers were pointed out,and corresponding schemes were proposed to address the above challenges.The experimental results show that the BESE scheme can effectively protect the user data in the cloud,achieve a variety of search functions,and has high efficiency and security.…”
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Bridging prediction and decision: Advances and challenges in data-driven optimization by Yanzhi Wang, Jianxiao Wang, Haoran Zhang, Jie Song

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Design and Development of Miniature Measuring Instrument for Parachute Cords Dynamic Load for Stepless Parachute Opening by Wei Liang, Xin Zhao, Pengpeng Wu, Yuxin Li, Shuai Lv

“…The experimental results show that the designed miniature measuring instrument has accurate data, strong stability, and good real-time performance, which meets the demand for real-time accurate measurement of miniature measuring instruments, and can provide reliable data for parachute cords parameter validation and stepless unfolding design.…”
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Gene expression data classification: some distance-based methods by Olusola Samuel Makinde

“…Gene selection technique based on shrunken centroids regularized discriminant analysis was employed on small round blue cell tissue, colon cancer, lymphoma, prostate cancer and leukaemia data before applying the classification rules. …”
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