INFLUENCE OF THE SPATIAL ARRANGEMENT OF SEISMIC DETECTORS ON THE ACCURACY OF EARTHQUAKE HYPOCENTRE DETERMINATION by T. G. Aslanov, Кh. J. Magomedov, U. A. Musayeva, Кh. Y. Tagirov

“…Discrepancies between data containing an error and those without it used to determine two hypocenters provide information about the hypocenter locating error. …”
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The effect of protective eyewear on free throw performance in basketball players without refractive defects by Şinasi Özsaydı, Ali Keleş, Banu Kabak, Gökhan Deliceoğlu

“…The Wilcoxon Signed Ranks Test, a non-parametric statistical method, was used to identify differences between the protocols. Data analysis was performed using Microsoft Excel and SPSS 26.0 software (IBM, Chicago, IL, USA), with a significance level set at p < 0.05. …”
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A Refined Multipath Correction Model for High-Precision GNSS Deformation Monitoring by Yan Chen, Ran Lu, Xingyu Zhou, Mingkun Su, Mingyuan Zhang

“…We propose a novel GNSS multipath correction approach that leverages multi-day post-fit residual data and principal component analysis to extract stable multipath signals, integrating them into an enhanced spatial repeatability multipath correction model. …”
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Solutions for Preventing Patient Falls in Hospitals: A Scoping Review by Marziyeh Najafi, Roya Rajaee, Hojjat Rahmani, Behrooz Pouragha, Nazanin Sheikh Mohammadi, Ghasem Rajabi Vasokolaei

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Comparative Analysis of IMERG Satellite Rainfall and Elevation as Covariates for Regionalizing Average and Extreme Rainfall Patterns in Greece by Means of Bilinear Surface Smoothin... by Nikolaos Malamos, Theano Iliopoulou, Panayiotis Dimitriadis, Demetris Koutsoyiannis

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Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model by Toshinori Sato, Saki Shibata, Koichi Murata, Norihisa Usui, Hajime Shiobara, Tomoaki Yamada, Masanao Shinohara

“…Comparing slip distributions obtained with and without the OBP data, we found that the distribution obtained using OBP data extended further offshore, and the offshore estimation error was smaller. …”
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Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data by Yuan Jiang, Fei Yan

“…Computer science and technology under the background of big data are closely related to the development of modern agriculture. …”
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A comparison of relative survival and cause‐specific survival methods to measure net survival in cancer populations by Nupur Makkar, Quinn T. Ostrom, Carol Kruchko, Jill S. Barnholtz‐Sloan

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Spatiotemporal Analysis of the Termokarst Lakes Evolution Using Remote Sensing and Randomized Machine Learning and Forecasting by Dubnov Yuri, Popkov Alexey, Popkov Yuri, Kuprianov Matvey, Polyschuk Vladimir, Melnikov Andrey, Polyschuk Yuri

“…It is shown that proposed dynamic model can significantly reduce the average modeling error…”
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Análise de sensibilidade dos métodos de estimativa da evapotranspiração de referência e razão de Bowen em cultura da cana-de-açúcar Sensitivity analysis of methods for estimating r... by Bruce K. N Silva, Vicente de P. R. da Silva, Pedro V. de Azevedo, Carlos H. de A Farias

“…<br>The sensitivity analysis technique of models was applied to the data obtained from field experiment carried out during 2009 at Distillery Miriri, Capim, PB. …”
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Performance Evaluation and Spatiotemporal Dynamics of Nine Reanalysis and Remote Sensing Evapotranspiration Products in China by Yujie Liu, Wen Wang, Tianqing Zhao, Zhiyuan Huo

“…We tried to merge three optimal data products (ETMonitor, PML_V2, and SiTHv2) using the triple collocation analysis method to improve the ET estimation, but the results showed that the improvement by the data fusion approach is marginal. …”
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Machine Learning Modeling of Foam Concrete Performance: Predicting Mechanical Strength and Thermal Conductivity from Material Compositions by Leifa Li, Wangwen Sun, Askar Ayti, Wangping Chen, Zhuangzhuang Liu, Lauren Y. Gómez-Zamorano

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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crys... by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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Integrated Evaluation and error decomposition of four gridded precipitation products using dense rain gauge observations over the Yunnan-Kweichow Plateau, China by Tianjian Lu, Qingquan Xiao, Hanyu Lu, Jintong Ren, Yongyi Yuan, Xiaoshan Luo, Zhijie Zhang

“…This study comprehensively assesses four gridded precipitation datasets (AERA5-Asia, AIMERG, ERA5-Land, and IMERG-Final) using the China Meteorological Administration’s surface precipitation data. It employs eight statistical indicators and error decomposition methods at various spatiotemporal scales. …”
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Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method by Xiaolin Liu, Bo Wang, Shuanglong Jin, Zongpeng Song

“…This method can provide a more accurate basis for subsequent data analysis and application.…”
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Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude. by Ilya Pyatin, Juliy Boiko, Viacheslav Kovtun, Oksana Kovtun

“…Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality. …”
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Parameter Estimation Precision with Geocentric Gravitational Wave Interferometers: Monochromatic Signals by Manoel Felipe Sousa, Tabata Aira Ferreira, Massimo Tinto

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A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data by JiaXuan Zhang, Yan Feng, Pan Zhang, YuXuan Lin, XinWu Li, Ya Huang

“…Subsequently, orbit-by-orbit processing was applied to both scalar and vector data, such as spherical harmonic high-pass filtering, singular spectrum analysis, and line leveling, to suppress noise and residual signals along the satellite tracks. …”
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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

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Implementing and validating newborn screening for inborn errors of metabolism in South India: a 2-year observational study at a tertiary care hospital by Manju Hosuru Chikkalingaiah, Supriya Bevinakoppamath, Surajj S Archana, Aishwarya Kapa, Swetha N Kempegowda, Kusuma K Shivashankar, Shobha C Ramachandra, Suma K Basavarajaiah, Suma Nataraj, Akila Prashant

“…Markers assessed included 17-α-OH progesterone, neonatal thyroid stimulating hormone, total galactose, immunoreactive trypsinogen, G6PD enzyme, biotinidase enzyme and phenylalanine levels. Data analysis was conducted using R V.4.1.1 software.Results Of the 5157 neonates, the recall rates were consistent with those reported in similar studies. …”
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