Genome-wide and rna-seq highlight genetic characteristics of rumpless signals in piao chicken by Wang Mei QI, Xing Fu ZHANG, Li Wen SONG, Zai Xia LIU, Yuan CHAI, Yan Yong SUN

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UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors by Yi Xu, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato

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A practical approach to building a calcareous nannofossil knowledge graph by Hongyi Zhao, Bin Hu, Chao Ma, Shijun Jiang, Yi Zhang, Xin Li, Lirong Chen, Can Cai, Longgang Ye, Shengjian Zhou, Chengshan Wang

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Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

“…In the era of burgeoning big data, extensive repositories of images and videos have risen to prominence as the primary conduits for disseminating information. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

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Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19 by Wei-Ling Lin, Chun-Hung Hsieh, Tung-Shou Chen, Jeanne Chen, Jian-Le Lee, Wei-Chung Chen

“…ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. …”
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Mapping TB incidence across districts in Uganda to inform health program activities by N.J. Henry, S. Zawedde-Muyanja, R.K. Majwala, S. Turyahabwe, R.V. Barnabas, R.C. Reiner, Jr, C.E. Moore, J.M. Ross

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Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

“…Some suggestions were: the use of data-driven technologies such as business intelligence and big data to strengthen data-driven decision-making, the use of a hybrid approach in training and the application of new technologies in the field of training such as Metaverse, the use of Internet of Things and blockchain technologies to automate and intelligentize processes and finally Moving towards an open innovation policy.…”
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Investigation of an Ultra-Wideband Optical Absorber with the Bandwidth from Ultraviolet C to Middle Infrared by Chih-Ching Hung, Xin-Yu Lin, Tung-Lung Wu, Shu-Han Liao, Ho-Sheng Chen, Cheng-Fu Yang

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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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Transdisciplinary role of physical and mathematical disciplines in modern natural science and engineering education by V. A. Testov, E. A. Perminov

“…As a result of the transdisciplinary trend in science, such scientific fields as cybernetics, general systems theory, catastrophe theory, synergetics, artificial intelligence, big data, etc. have emerged. All these concepts were developed on the basis of the achievements of mathematics and physics over the past 70–80 years, which gave rise to the most unique practical achievements in modern, natural, and technical sciences.Aim. …”
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A Novel Traffic Analysis Zone Division Methodology Based on Individual Travel Data by Kai Du, Jingni Song, Dan Chen, Ming Li, Yadi Zhu

“…Additionally, the emergence of urban big data allows for more refined spatial analyses based on individual travel patterns, addressing the limitations of administrative divisions. …”
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A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols by Nicolas Francos, Daniela Heller-Pearlshtien, José A. M. Demattê, Bas Van Wesemael, Robert Milewski, Sabine Chabrillat, Nikolaos Tziolas, Adrian Sanz Diaz, María Julia Yagüe Ballester, Asa Gholizadeh, Eyal Ben-Dor

“…Soil spectral libraries (SSLs) are important big-data archives (spectra associated with soil properties) that are analyzed via machine-learning algorithms to estimate soil attributes. …”
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Metabolic and epigenetic regulation of macrophage polarization in atherosclerosis: Molecular mechanisms and targeted therapies by Pinglian Yang, Xiaoling Rong, Zhechang Gao, Jiaojiao Wang, Zhiping Liu

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Exploration of novel NSM methods to achieve stronger FRPs with minimal epoxy by Wei Sun, Handong Yan, Jianli Yin, Xinan Zhu, Tiejiong Lou, Haifeng Li

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Models for predicting risk of endometrial cancer: a systematic review by Bea Harris Forder, Anastasia Ardasheva, Karyna Atha, Hannah Nentwich, Roxanna Abhari, Christiana Kartsonaki

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Unified Visual-Aware Representations for Data Analytics by Ladislav Peska, Ivana Sixtova, David Hoksza, David Bernhauer, Jakub Lokoc, Tomas Skopal

“…One of the characteristics of big data is its internal complexity and variety manifested in many types of datasets that are to be managed, searched, or analyzed. …”
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Pulmonary Nuclear protein in Testis (NUT) carcinoma: clinical, molecular characteristics, and treatment strategies by Jingjing Qu, Zhen Chen, Yanping Zhu, JinYan Huang, Qian Shen

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Fusion of Remotely Sensed Data with Monitoring Well Measurements for Groundwater Level Management by César de Oliveira Ferreira Silva, Rodrigo Lilla Manzione, Epitácio Pedro da Silva Neto, Ulisses Alencar Bezerra, John Elton Cunha

“…In the realm of hydrological engineering, integrating extensive geospatial raster data from remote sensing (Big Data) with sparse field measurements offers a promising approach to improve prediction accuracy in groundwater studies. …”
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Based on the MaxEnt model the analysis of influencing factors and simulation of potential risk areas of human infection with avian influenza A (H7N9) in China by Zhao Yang, Zhao Yang, Zhong Da Ren, Zhong Da Ren, Jie Wang, Wen Dong, Wen Dong

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