Predicting lung aging using scRNA-Seq data. by Qi Song, Alex Singh, John E McDonough, Taylor S Adams, Robin Vos, Ruben De Man, Greg Myers, Laurens J Ceulemans, Bart M Vanaudenaerde, Wim A Wuyts, Xiting Yan, Jonas Schupp, James S Hagood, Naftali Kaminski, Ziv Bar-Joseph

“…To enable age prediction based on scRNA-Seq data, we developed PolyEN, a new regression model which learns continuous representation for expression over time. …”
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Performance Modeling of Data Storage Systems Using Generative Models by Abdalaziz R. Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn

“…High-precision systems modeling is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various conditions. …”
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A Data-Driven Methodology for Quality Aware Code Fixing by Thomas Karanikiotis, Andreas L. Symeonidis

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New data-based load modeling for active distribution networks by Daladier Osorio-Vásquez, Sandra Pérez-Londoño, Juan Mora-Flórez

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Data product pricing strategy: exclusive or non-exclusive pricing by XU Yixuan, WU Bing

“…Price discrimination and the mutual influence among various parties in the trading market were taken into account. A comparative analysis was conducted between the pricing strategies of “exclusive pricing” and “non-exclusive pricing” for data products. …”
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Commercial Use of Satellite Remote Sensing Data and Civil Liability by Young-Ju Kim

“…Through this analysis, the paper offers legal and institutional recommendations to support the development and stability of the commercial satellite data industry, contributing to the establishment of a comprehensive legal framework for the space sector.…”
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CAM: A quality control pipeline for MNase-seq data. by Sheng'en Hu, Xiaolan Chen, Ji Liao, Yiqing Chen, Chengchen Zhao, Yong Zhang

“…There is a strong need for a convenient and comprehensive approach to obtain dedicated quality control (QC) for MNase-seq data analysis. Here we developed CAM, which is a comprehensive QC pipeline for MNase-seq data. …”
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Research on the big data planning model of mobile wireless network by Yu CHEN, Xiaodong CHEN, Yue LIU

“…With the development of big data technology in recent years,various industries have strengthened their research and application in their professional field.For the wireless network planning specialty of mobile operators,it will effectively improve the accuracy and automation level of network planning by combining the market,network,terminal,base station,planning and other data sources owned by enterprises.For the existing large data planning platforms,there are generally problems that do not fully consider the discrimination of scenario or regional types,which have a certain impact on the planning results.Firstly,the data sources,processing application architecture and implementation method which the large data planning model of mobile wireless network needed were analyzed.Then,the standards,algorithms and parameter settings of the three coverage planning models of surface,line and point were studied after the key steps and model analysis of the big data planning in mobile wireless network.Finally,some ideas and suggestions were put forward for the construction and application of the big data planning model in mobile wireless network.…”
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Dwelling as method: Lingering in/with feminist curated data sets on Instagram by Brianna I. Wiens, Shana MacDonald

“…By demarcating small, embodied data curation as a key space of method and analysis, we suggest that the personal relationships we develop in community as researchers with located acts of transgression, like these posts, are significant to consider more fully through their emergent intertextualities, especially for those invested in contemporary social media, protest, and visual cultures. …”
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Research Progress on Data-Driven Industrial Fault Diagnosis Methods by Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu

“…In conjunction with the development of multi-source heterogeneous data, the paper explores the evolutionary path of fault diagnosis methods. …”
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Compression of Marine Environmental Data Using Convolutional Attention Autoencoder by Xuehai Sun, Peiyu Wang, Yanxia Zhou, Kedi Wu, Limin Huang, Xuewen Ma

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Data product pricing strategy: exclusive or non-exclusive pricing by XU Yixuan, WU Bing

“…Price discrimination and the mutual influence among various parties in the trading market were taken into account. A comparative analysis was conducted between the pricing strategies of “exclusive pricing” and “non-exclusive pricing” for data products. …”
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Data Processing Method in Medium Range Coastal Radar Complex by Dang Quang Hieu, Nguyen Xuan Truong

“…The system structure diagram is designed to solve computational overload problem when processing large volume of data received from radar stations. The measurement-level fusion algorithm is developed based on the JPDA framework, in which radar data received from a single or group of radars and AIS data is aggregated in a processing center. …”
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SENTINEL SYSTEM – electronic system for collecting real-world data by E. O. Eremenko, M. I. Baranova

“…An example of this type of data collection and analysis coordination system development is the 2007 Food a nd Drug Administration (FDA) Sentinel initiative.Sentinel is a national electronic system that has changed the way researchers monitor the safety of FDA-regulated medical products, including drugs, vaccines, biologics, and medical devices. …”
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Combining systemic inflammation biomarkers with traditional prognostic factors to predict surgical site infections in elderly hip fracture patients: a risk factor analysis and dyna... by Yuhui Guo, Chengsi Li, Haichuan Guo, Peiyuan Wang, Xuebin Zhang

“…Results A total of 1430 patients were included in model development, with 41 cases (2.87%) of superficial SSI and 6 cases (0.42%) of deep SSI. …”
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Expert system for managing data on the competencies of a modern manager by P. A. Nechaeva, G. R. Yusupova

“…In the modern economy, digitalization has become one of the key components of the Russian Federation regions socio-economic development. Enterprises of various industries are faced with the need to process large amounts of data, which greatly complicates data management, and therefore the relevance of the analysis of artificial intelligence technologies increases. …”
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Is Open Source the Future of AI? A Data-Driven Approach by Domen Vake, Bogdan Šinik, Jernej Vičič, Aleksandar Tošić

“…In this paper, we adopt a data-driven approach to examine the open-source development of LLMs. …”
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OnabotulinumtoxinA for trigeminal neuralgia: a review of the available data by Pedro A. Kowacs, Marco A. T. Utiumi, Fábio A. Nascimento, Elcio J. Piovesan, Helio A. G. Teive

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Estimating contagion dynamics models on networks via data assimilation by Yinchong Wang, Wenlian Lu

“…Network-based contagion models are widely used to describe the spread of epidemics, computer viruses and opinions, yet estimating their states, parameters and hyperparameters remains challenging, especially when only macro-level data are available. We therefore aimed to develop a data-assimilation framework capable of performing this estimation without requiring node-level observations. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. …”
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