Small RNA data sets of mouse testes and ovaries before and after sexual maturity by Mailin Gan, Xingyu Wang, Jianfeng Ma, Lei Chen, Yan Wang, Linyuan Shen, Li Zhu

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Porosity prediction of tight reservoir rock using well logging data and machine learning by Yawen He, Hongjun Zhang, Zhiyu Wu, Hongbo Zhang, Xin Zhang, Xiaojing Zhuo, Xiaoli Song, Sha Dai, Wei Dang

“…These findings suggest that the PSO-GBDT model has strong potential for improving porosity prediction in tight reservoirs, offering significant implications for future exploration and development efforts.…”
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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

“…Physically based models can assess landslide susceptibility with limited datasets by inputting physical parameters, albeit with some uncertainties. In contrast, data-driven models, primarily developed using machine learning and statistical algorithms, often provide acceptable predictive accuracy in assessing landslide susceptibility. …”
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Simulation and Empirical Studies of Long Short-Term Memory Performance to Deal with Limited Data by Khusnia Nurul Khikmah, Kusman Sadik, Khairil Anwar Notodiputro

“…This research is proposed to determine the performance of time series machine learning in the presence of noise, where this approach is intended to forecast time series data. The approach method chosen is long short-term memory (LSTM), a development of recurrent neural network (RNN). …”
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Modeling Estuarine Algal Bloom Dynamics with Satellite Data and Spectral Index-Based Classification by Mayya Podsosonnaya, Maria J. Schreider, Sergei Schreider

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New prospects of uranium mineralisation of the Trans-Urals based on regional geochemical survey data by L. A. Krinochkin, O. K. Krinochkina, V. I. Blokov

“…Besides the known Dolmatovsky and Khokhlovsky uranium ore regions, 31 AGAs with uranium specialisation were identified based on the geochemical data obtained in a well-developed and accessible site. …”
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Bridging the digital readiness gap in palliative home care: A process to data approach by Yousra Odeh, Omar Shamieh

“…However, a critical analysis of the current process and its corresponding data structure is necessary to prepare for digital solutions. …”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

“…At last, an outlook of ML development for data processing methods is presented. …”
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Characterization of the DART Ejecta Using Computer Modeling of the Ground-based and HST Photopolarimetric Data by Ludmilla Kolokolova, Johannes Markkanen, Quentin Ludet, Zuri Gray, Stefano Bagnulo, Cyrielle Opitom, Brian Murphy

“…These data offer a unique opportunity to carry out a novel, detailed analysis of the ejecta particles. …”
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A Convolutional Neural Network for Coastal Classification Based on ALOS and NOAA Satellite Data by Kinh Bac Dang, Van Bao Dang, Quang Thanh Bui, Van Vuong Nguyen, Thi Phuong Nga Pham, Van Liem Ngo

“…Nowadays, the integration of deep learning in remote sensing and GIS analysis can quickly classify and detect different characteristics on both land and sea. …”
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Development of the Prevent for Work Questionnaire (P4Wq) for the assessment of musculoskeletal risk factors in the workplace: part 2—pilot study for questionnaire development and v... by Thorvaldur Skuli Palsson, Morten Høgh, Pablo Herrero, Pablo Bellosta-Lopez, Victor Domenech-Garcia, Francesco Langella, Steffan Wittrup McPhee Christensen, Jorge Hugo Villafañe, Pedro Berjano, Priscila de Brito Silva, Palle Schlott Jensen, Daniele Vanni, Paolo Barletta

“…Objective The aim of this study was to develop a multifactorial, self-report questionnaire: Prevent for Work Questionnaire (P4Wq). …”
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VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks by Juli Yin, Linfeng Wei, Zhiquan Liu, Xi Yang, Hongliang Sun, Yudan Cheng, Jianbin Mai

“…The performance analysis shows that the mechanism proposed in this paper can safely aggregate data and reduce consumption. …”
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Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management by Tianchen Zheng, Quan Pan, Songyao Huai, Chenxing Wang, Yan Yan, Veerle Van Eetvelde, Tim Van de Voorde

“…Targeting Belgian public greenspaces, we develop a comprehensive approach to quantify visitors’ perceptions from multiple dimensions. …”
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Reconstructing the dynamics of HIV evolution within hosts from serial deep sequence data. by Art F Y Poon, Luke C Swenson, Evelien M Bunnik, Diana Edo-Matas, Hanneke Schuitemaker, Angélique B van 't Wout, P Richard Harrigan

“…Using phylogenetic methods to reconstruct the evolutionary dynamics of HIV within hosts enables us to discriminate between competing models of this process. We have developed a phylogenetic pipeline for the molecular clock analysis, ancestral reconstruction, and visualization of deep sequence data. …”
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Research on Vehicle Fatigue Load Spectrum of Highway Bridges Based on Weigh-in-Motion Data by Ruisheng Feng, Guilin Xie, Youjia Zhang, Hu Kong, Chao Wu, Haiming Liu

“…This study focuses on vehicle data collected by a weigh-in-motion system installed on a highway bridge in Chongqing, China. …”
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Aufeises of the Indigirka river basin based on recent Landsat satellite images and historical data by Olga Makarieva, Andrey Shikhov, Andrey Ostashov, Nataliia Nesterova

“…The paper presents the methods and the results of the development of the digital catalogue of aufeises for the Indigirka river basin, with the use of Landsat images and historical data. …”
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Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study by Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

“…ObjectiveThis study aims to address the data scarcity issue by generating a large volume of labeled Chinese abstract sentences without manual annotation, thereby creating new training datasets. …”
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The Design and Implementation of an Intelligent Carbon Data Management Platform for Digital Twin Industrial Parks by Lingyu Wang, Hairui Wang, Yingchuan Li, Xingyun Yan, Min Wang, Meixing Guo, Mingzhu Fang, Yue Kong, Jie Hu

“…To address these challenges, this study proposes a carbon data management approach for industrial parks based on digital twin technology and develops an intelligent system that integrates monitoring, environmental surveillance, energy management, and carbon emission monitoring. …”
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RHEUMATOID ARTHRITIS IN THE RUSSIAN FEDERATION ACCORDING TO RUSSIAN ARTHRITIS REGISTRY DATA (COMMUNICATION I) by E. L. Nasonov, D. E. Karateev, A. M. Satybaldyev, E. L. Luchikhina, G. V. Lukina, M. V. Nikolenko, M. A. Bilinskaya, M. E. Dmitrieva, L. A. Bogoderova, N. A. Lapkina, N. V. Chichasova, V. N. Sorotskaya, D. I. Abdulganieva, R. G. Mukhina, G. R. Gafurova, V. I. Mazurov, D. S. Chakieva, R. R. Samigullina, E. G. Kuznetsova, N. V. Demidova, N. Yu. Nikishina, E. V. Fedorenko, E. V. Gerasimova, E. A. Zlepko, N. V. Muravyeva, G. I. Gridneva, O. A. Rumyantseva, K. A. Kasumova, A. V. Alekseeva, N. S. Shornikova, S. A. Vladimirov, D. A. Gukasyan, L. N. Tyurina, L. N. Denisov, T. G. Oskilko, E. A. Koshkarova

“…It discusses the main goals of setting up registries, compares the results of an analysis of the data available in the Russian Registry OREL and registries of European countries and the USA. …”
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