Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…The following sensors were used to collect and process data: incremental encoders, a three-axis accelerometer, and a gyroscope. …”
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Using administrative register data for adjusting non-response bias in the finnish gambling harms survey by Jukka Kontto, Hanna Tolonen, Anne H. Salonen

“…Weighted prevalences of gambling measures were calculated exploiting the respondents’ data (n = 7,153). The study sample (N = 19,741) was individually linked to socio-demographic data from Statistics Finland to obtain information on both respondents and non-respondents. …”
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Enhancing County-Level GDP Estimation Accuracy With Downscaled NPP-VIIRS Nighttime Light Data by Weihua Lin, Weixing Xu, Zhaocong Wu, Jiaheng Cao

“…However, commonly used global-scale NTL data acquired by the visible infrared imaging radiometer suite (VIIRS) aboard the Suomi National Polar-orbiting Partnership (NPP) satellite suffer from relatively coarse spatial resolution (15 arcsec), limiting their potential for fine-scale applications. …”
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Comparison of cone beam-computed and micro-computed tomography data for measuring facial canal dehiscence by Mert Ocak, Ferhat Geneci, Bilge İpek Torun, Mehmet Fatih Şentürk, Emine Şebnem Kurşun Çakmak

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A high-quality data set for seismological studies in the East Anatolian Fault Zone, Türkiye by L. Colavitti, D. Bindi, G. Tarchini, G. Tarchini, D. Scafidi, M. Picozzi, M. Picozzi, D. Spallarossa

“…</p> <p>The data set consists of 9442 events recorded by 271 stations and includes a total of 270 704 seismic phases (148 223 P and 122 481 S). …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…In our experiments, data augmentation improved the average F1-score by 2.3, 3.5, and 3.9 points for lung, liver, and adrenal glands, the organs for which we had access to expert-annotated data. …”
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Object-Based Downscaling Method for Land Surface Temperature with High-Spatial-Resolution Multispectral Data by Siyao Wu, Shengmao Zhang, Fei Wang

“…Meanwhile, object-based image analysis (OBIA) methods, which have developed rapidly in the analysis of high-spatial-resolution visible and near-infrared (VNIR) band data, have received little attention in the LST downscaling field. …”
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parafac4microbiome: exploratory analysis of longitudinal microbiome data using parallel factor analysis by G. R. van der Ploeg, J. A. Westerhuis, A. Heintz-Buschart, A. K. Smilde

“…These examples highlight PARAFAC’s broad applicability for analyzing longitudinal microbiome data across diverse environments. …”
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A Universal Framework for Near-Real-Time Detection of Vegetation Anomalies from Landsat Data by Yixuan Xie, Zhiqiang Xiao, Juan Li, Jinling Song, Hua Yang, Kexin Lv

“…However, the undisturbed vegetation conditions captured by these methods are only applicable to a particular pixel or vegetation type, resulting in a lack of universality. …”
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Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model by Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang, Liqing Hu, Jie Qin, Wuyan Huang, Zhongzhe Li, Shunyao Wang, Rui Zhang, Shang Huang, Xin Wang, Yao Yao, Jian Ran, Danling Cheng, Qi Luo, Teng Pan, Ruyun Gao, Jing Zheng, Yuxuan Wang, Cong Liu, Xianling Cao, Xuanyou Zhou, Naixin Xu, Lanlan Zhang, Xu Han, Haolin Wang, Suihua Feng, Shuyuan Li, Jianguo Zhang, Lijian Zhao, Fengxiang Wei

“…The developed models exhibited good predictive capability for assessing preeclampsia risk and severity based on clinical and laboratory data. Clinical trial number Not applicable.…”
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Open-Source Data Logger System for Real-Time Monitoring and Fault Detection in Bench Testing by Marcio Luís Munhoz Amorim, Jorge Gomes Lima, Norah Nadia Sánchez Torres, Jose A. Afonso, Sérgio F. Lopes, João P. P. do Carmo, Lucas Vinicius Hartmann, Cicero Rocha Souto, Fabiano Salvadori, Oswaldo Hideo Ando Junior

“…This PoC system leverages open-source technology to provide a cost-effective and versatile solution for both research and practical applications. Initial laboratory tests validate its feasibility for real-time data acquisition and highlight its potential for creating datasets to support advanced diagnostic algorithms. …”
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Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data by S. R. Mani Sekhar, D. M. Mushtaq Ahmed, G. M. Siddesh

“…This research attempts to provide personalized recommendations that are in line with users’ preferences, the state of the environment at the time, and other pertinent contextual factors by utilizing data from multiple sources, including IoT devices, mobile applications, and environmental sensors.…”
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Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data by Zhihong Li, Han Xu, Shiyao Qiu, Jun Liu, Kairan Yang, Jiahao Wu

“…This paper proposes a dynamic optimization model of bus route schedule based on bus Integrated Circuit Card (IC Card) data. The optimization variable is the departure frequency of the candidate lines. …”
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Forecasting Average Daily and Peak Electrical Load Based on Average Monthly Electricity Consumption Data by Saidjon Tavarov, Aleksandr Sidorov, Natalia Glotova

“…This article is devoted to the determination of the average daily electric load and the average electric load during the hours of maximum load, taking into account the generalized coefficient A_i, using data on electricity consumption for apartment buildings and individual residential buildings in Chelyabinsk and the cities of Dushanbe and Khorog in the Republic of Tajikistan. …”
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Progressive Bounded Error Piecewise Linear Approximation with Resolution Reduction for Time Series Data Compression by Jeng-Wei Lin, Shih-wei Liao, Yu-Hung Tsai, Ching-Che Huang

“…However, different applications may have different requirements for data accuracy. …”
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Performance of unmarked abundance models with data from machine‐learning classification of passive acoustic recordings by Cameron J. Fiss, Samuel Lapp, Jonathan B. Cohen, Halie A. Parker, Jeffery T. Larkin, Jeffery L. Larkin, Justin Kitzes

“…However, estimating abundance with such data collection techniques remains challenging because most abundance models require data that are difficult for low‐cost monoaural ARUs to gather (e.g., counts of individuals, distance to individuals), especially when using the output of automated species recognition. …”
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Conservative Treatment of Sesamoiditis: A Systematic Literature Review with Individual-Level Pooled Data Analysis by Carlo Biz, Maria Chiara Maccarone, Valentina Bonso, Elisa Belluzzi, Stefano Masiero, Nicola Luigi Bragazzi, Pietro Ruggieri

“…Pooled effect sizes were computed where applicable. <i>Results</i>: Out of 2380 initial records, 11 studies comprising 59 patients (29 females) were included. …”
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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…However, to fully realize the benefits of these technologies, future research must focus on addressing the challenges of data quality, enhancing model transparency, and ensuring the broader applicability of ML models across diverse populations and clinical settings.…”
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Inverse distance weight interpolation method for missing data of PM2.5 spatiotemporal series by Yurou LIANG, Hongling WU, Weipeng WANG, Feng CHENG, Ping DUAN

“…Furthermore, the seasonal PM2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. ConclusionThe IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.…”
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Constructing a Biomass-Data Center Nexus for Circular Economy-Based Energy Systems Integration by Pengya Wang, Li Pan, Guannan He, Gengyin Li, Jie Song, Ming Zhou, Jianxiao Wang

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