Impact of Fengyun-4A Atmospheric Motion Vector Data Assimilation on PM_2.5 Simulation by Kaiqiang Gu, Jinyan Wang, Shixiang Su, Jiangtao Zhu, Yu Zhang, Feifan Bian, Yi Yang

“…This study simulated a representative PM_2.5 pollution event using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem), incorporating the assimilation of infrared atmospheric motion vector (AMV) data from the Fengyun-4A (FY-4A) satellite. A comprehensive analysis was conducted to examine the meteorological characteristics of the event and their influence on PM_2.5 concentration simulations. …”
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Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context by Marcelo Bueno, Carlos Baca García, Nilton Montoya, Pedro Rau, Hildo Loayza

“…Statistical validation indicated suitable generalization error for scientific and practical use (RMSE < 0.05 cm3 cm-3). …”
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Observed impact of the GNSS clock data rate on radio occultation bending angles for Sentinel-6A and COSMIC-2 by S. Padovan, A. von Engeln, S. Paolella, Y. Andres, C. R. Galley, R. Notarpietro, V. Rivas Boscan, F. Sancho, F. Martin Alemany, N. Morew, C. Marquardt

“…The analysis is based on the reprocessing of Sentinel-6A data (4 months in 2021, September to December, or about 110 000 occultations) and of a smaller sample of recent COSMIC-2/FORMOSAT-7 data (5–7 August 2023, or about 9000 occultations). …”
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Determination of the Spatial Resolution of Radar Images in Remote Sensing of the Earth by S. N. Gusev, S. V. Zhuravlev, A. V. Popov

“…A comparison of the experimental and analytical data on the resolution capacity of an actual radar system confirmed the validity on the proposed method. …”
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ANALYSIS OF THE CAUSES OF LOW OIL RECOVERY by Nikolai Buktukov, Rustem Igizbaev, Gulnaz Moldabayeva, Evgenii Gumennikov, Elmira Yesbergenova

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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

“…Gyroscope signals were registered using the TrignoTM Wireless System. For data analysis in the MATLAB, the software for automated evaluation of electromyographic and biomechanical motion patterns was developed. …”
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Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

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Effect of Integrated Postural Training in Individuals with Text Neck Syndrome by Radha Bhende, Sandeep Shinde, Pooja Jain

“…Pre- and post-assessment scores of visual analog scale (VAS), neck disability index (NDI), range of motion (ROM) of the cervical spine, tragus to wall test (TTW), Vernier Caliper measurements for rounded shoulders and cervical joint position error testing (CPJE Testing) were taken and the results were obtained by statistical analysis of the data. …”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

“…The results from the validation comparison show that the elevation accuracy of IC2-GDEM is evidently superior to that of the ASTER GDEM product: (1) the RMSE reduction ratio of the corrected GDEM elevation is between 16 % and 82 %, and the average reduction ratio is about 47 %; and (2) from the analysis of the different topographies and land covers, this error reduction is effective even in areas with high topographic relief (<span class="inline-formula">&gt;15<i>°</i></span>) and high vegetation cover (<span class="inline-formula">&gt;60 %</span>). …”
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The Direct Assimilation of Radar Reflectivity Data with a Two-Moment Microphysics Scheme for a Landfalling Typhoon in an OSSE Framework by Ziyue Wang, Jingyao Luo, Hong Li, Yijie Zhu, Rui He

“…Though the most notable reduction in the Root Mean Square Errors (RMSEs) is observed through mixing the ratio of rainwater and snow, the analysis of other variables is also significantly improved with the accumulation of assimilation cycles. …”
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Height estimation in children and adolescents using body composition big data: Machine-learning and explainable artificial intelligence approach by Dohyun Chun, Taesung Chung, Jongho Kang, Taehoon Ko, Young-Jun Rhie, Jihun Kim

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Improving Data Entry Quality in Enterprise Applications With NLP Methods: A Model Proposal Based on BERT and Deep Learning by H. Canli

“…In this study, a data validation system was developed to improve the accuracy of risk management data collected from an ERP application and to minimize data entry errors. …”
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Potentials of computer simulation of lung tumors in comparison with ^99mТс-MIBI SPECT/CT data by N. V. Denisova, M. A. Gurko, S. M. Minin, Zh. Zh. Anashbaev, A. A. Zheravin, E. A. Samoilova, S. E. Krasilnikov

“…There was a good correlation between clinical “raw” data recorded from a real patient and projection data calculated by the Monte Carlo method from a “virtual patient”. …”
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A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv by Michel Visalli, Ronan Symoneaux, Cécile Mursic, Margaux Touret, Flore Lourtioux, Kipédène Coulibaly, Benjamin Mahieu

“…Each group evaluated six madeleine samples (five distinct samples and one replicate) in a sensory analysis laboratory, using different free comment data collection modes. …”
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Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data by Patrick Minnis, Chris R. Yost, Sunny Sun‐Mack, Yan Chen

“…Radiative transfer calculations show that ΔZ corresponds to an optical depth of ∼1, which based on observed ice‐particle sizes yields an average cloud‐top IWC of ∼0.015 gm−3, a value consistent with in situ measurements. The analysis indicates potential for deriving cloud‐top IWC using dual‐satellite data.…”
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Event-Triggered Secure Control Design Against False Data Injection Attacks via Lyapunov-Based Neural Networks by Neslihan Karas Kutlucan, Levent Ucun, Janset Dasdemir

“…A Lyapunov-based stability analysis is conducted, and linear matrix inequality (LMI) conditions are formulated to guarantee the boundedness of estimation and system errors, as well as to determine the triggering threshold used in the event-triggered mechanism. …”
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Multi‐sensor missile‐borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation by Luda Zhao, Yihua Hu, Fei Han, Zhenglei Dou, Shanshan Li, Yan Zhang, Qilong Wu

“…A distortion simulation method based on MC simulation for augmenting missile‐borne LiDAR point cloud data is proposed, underpinned by an analysis of combined errors between different modal sensors, achieving high‐quality augmentation of point cloud data. …”
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Rapid detection method of soil organic matter contents using visible/near infrared diffuse reflectance spectral data by CEN Yi-lang, SONG Tao, HE Yong, BAO Yi-dan

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Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges by Huajin Lei, Hongyi Li, Hongyu Zhao

“…Study focus: Reliable high-spatiotemporal-resolution and long-term precipitation data are critical for agriculture, hydrology, and climate change impact analysis. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…Metagenomics analysis has enabled the measurement of the microbiome diversity in environmental samples without prior targeted enrichment. …”
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