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

“…A key challenge is determining the appropriate scale for identifying the latent objects. This model uses high-resolution remote sensing imagery and employs a convolutional autoencoder to extract common features from river channels. …”
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Design and Performance of Ultrathin Overlay Epoxy-Rubber Concrete by Qi Huang, Fei Chen

“…Epoxy-rubber concrete has a big potential to be used for pavement overlays, but there is currently no appropriate epoxy-rubber concrete design method and process. …”
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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

“…This approach can be applied in many countries with high TB burden.…”
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An optimized lightweight real-time detection network model for IoT embedded devices by Rongjun Chen, Peixian Wang, Binfan Lin, Leijun Wang, Xianxian Zeng, Xianglei Hu, Jun Yuan, Jiawen Li, Jinchang Ren, Huimin Zhao

“…However, since IoT embedded devices typically own limited computing resources, direct deployment of YOLOv8 is a big challenge, especially for real-time detection tasks. …”
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Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification by Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing

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Pancreatic Cancer: Molecular, Biochemical, Chemopreventive, and Therapeutic Aspects by Juan Iovanna, José Luis Neira

“…The inhibition of signal pathways can be carried out not only by small molecules, able to bind to selected regions of the target protein, but also by using large molecules as antibodies. …”
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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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Integration of carbon dioxide sensor with GNSS receiver for dynamic air quality monitoring applications by Lin Yola, Garrin Alif Nanditho, Kaito Kobayashi, Dinesh Manandhar

“…Air pollution is a significant problem in big cities due to the rapid increase of anthropogenic activities and severe traffic congestion. …”
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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

“…In the development of optical absorption technology, achieving ultra-wideband high absorption structures that span from the 200 nm ultraviolet C region to the 5800 nm mid-infrared range has been a significant challenge in materials science. …”
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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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The effect of physical cues on platelet storage lesion by Lihan Cheng, Lu Wang, Shichun Wang, Qi Liu, Ronghua Diao, Chunyan Yao

“…Meanwhile, when the physical cues are big enough, the activation of platelets is irreversible, such as spin at 2000 g. …”
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Validation of the death reflection scale among older people by Lukas Richter, Lukas Richter

“…A total of 1,806 individuals completed the survey.ResultsConfirmatory factor analysis showed a good fit of the originally proposed 5-factor (CFI 0.949, SRMR 0.058, RMSEA 0.070) and bi-factor model (CFI 0.956, SRMR 0.067, RMSEA 0.067) with a general factor and five subscales. …”
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Submicron quantum dot light-emitting diodes enabled by pixelated topological meta-mirror by Ye Taikang, Tian Dadi, Wu Dan, Sun Xiao Wei, Wang Kai

“…As a highly competitive display technology, the realization of pixelated full color quantum dot light emitting diodes (QLEDs) is an indispensable step for high resolution display. …”
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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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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

“…Neural networks were used to identify BSS on big remote sensing data. ASCSs have contrasting soil properties and contrasting fertility (productivity of agricultural crops). …”
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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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