Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

“…To overcome these challenges, we propose a multi-function composite data generation paradigm that integrates diverse functional characteristics, generating 11 classes of highly interpretable single-condition images as training data for a prior model. …”
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Comparison between compositional data analysis and principal component analysis for identifying dietary patterns associated with hyperuricemia by Junkang Zhao, Junkang Zhao, Yajie Zhao, Jiannan Han, Jiannan Han, Yixuan Zhao, Sumiao Liu, Zhida Liu, Liyun Zhang, Yan Zhang

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Movement behaviors and cardiorespiratory fitness – a cross-sectional compositional data analysis among German adults by Alexander Roosz, Martin Bahls, Sabina Ulbricht, Antje Ullrich, Anne Obst, Beate Stubbe, Ralf Ewert, Sabine Kaczmarek, Till Ittermann, Marcus Dörr, Lisa Voigt

“…Abstract Background We investigated associations of movement behaviors (moderate-vigorous physical activity, light physical activity, and stationary time) with various parameters measured during cardiopulmonary exercise testing. We applied compositional data analysis to account for the relative contributions of different movement behaviors to the overall time budget of the waking day. …”
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New Data on the Mineral and Geochemical Composition of Bottom Sediments in the Tanatar Soda Lakes (Kulunda Plain, Russia) by Ovdina Ekaterina, Strakhovenko Vera, Malov Georgy, Malov Viktor, Solotchina Emilia

“…We used a complex of modern methods of mineralogy and geochemistry to 12 update and add new data on the main phases of bottom sediments. The studied lakes have a pH ≥ 8 13 and a TDS of 2.1–41.5 g/L and a soda water composition. …”
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Development of Criteria for Assessing Nutritional Status in Moscow Adults Using Bioimpedance Analysis Data by S. G. Rudnev, A. E. Ivanova, E. Z. Godina, A. V. Zubko, V. I. Starodubov

“…To develop the criteria for assessing nutritional status in Moscow adults using bioimpedance analysis data.Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of Moscow adults aged 18-96 in Moscow health centers between 2010 and 2019 by the method of bioimpedance analysis. …”
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Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities by Alessandro Lagrotteria, Samuele Roccatello, Alberto Doretto

“…This study, conducted in Italy, aimed to complement data on river macroinvertebrates collected by the Regional Environmental Protection Agency (ARPA) with additional data gained by volunteers. …”
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Hydro-geochemical and isotopic composition of ground water in Helwan area by W.M. Salem, Mona El-Sayed

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Correlation Measures in Metagenomic Data: The Blessing of Dimensionality by Alessandro Fuschi, Alessandra Merlotti, Thi Dong Binh Tran, Hoan Nguyen, George M. Weinstock, Daniel Remondini

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Data on the nutritional and fatty acid composition, bioactive compounds, in vitro antioxidant activity and techno-functional properties of a collection of pea (Pisum sativum L.)Mendeley Data by Francesca Vurro, Davide De Angelis, Giacomo Squeo, Stefano Pavan, Antonella Pasqualone, Carmine Summo

“…In addition to the study of suitable food applications, these data can be used in genetic research to identify specific genomic regions associated with key nutritional and techno-functional traits, thereby improving understanding of the underlying genetic mechanisms.…”
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Effect of variation in gridded cattle diet composition on estimated enteric methane emissions in data sparse tropical regions by J.Y. Mutua, A.J. Duncan, T.P. Robinson, S. Fraval, A.M.O. Notenbaert, G.R. Watmough

“…However, existing data have uncertainties resulting from data collection challenges and the assumption of a constant annual distribution of diet composition. …”
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Author Correction: Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index by Junseop Oh, Kyoung-Ho Kim, Ho-Rim Kim, Sunhwa Park, Seong-Taek Yun

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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

“…Our study aimed to assess the potential of multimodal data (hyperspectral vegetation indices (VIs), thermal indices, and canopy state variables) and ML algorithms to predict grapevine yield components and berry composition parameters. …”
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Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study by Dohyun Chun, Seo Jung Kim, Junghwan Suh, Jihun Kim

“…Conclusions This study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data.…”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. In addition, the system features a fusion analysis approach and a view that combines AE and DIC methods, enabling users to explore the correlations and trends in multimodal data generated during the material damage process. …”
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. …”
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Relationship between 24-hour movement behaviors and executive function in preschool children based on compositional data analysis by Zhenya Chang, Ling Wang, Aifeng Zhu

“…EF was measured by a questionnaire (BRIEF-P), and compositional data analysis was employed. Results: (1) The relative time distribution among 24 h-MBs showed statistically significant associations with both EF and specific subdomains in preschool children (p < 0.05). (2) Moderate-to-Vigorous-intensity Physical Activity (MVPA) was significantly associated with inhibitory control (γ14 = −2.36, p = 0.002), working memory (γ14 = −2.78, p = 0.003), emotional control (γ14 = −1.30, p = 0.024), planning (γ14 = −1.83, p = 0.003), and EF (γ14 = −9.35, p = 0.003). (3) SB was significantly associated with working memory (γ12 = 3.99, p = 0.027) and EF (γ12 = 11.95, p = 0.047). (4) When MVPA was substituted for sleep, SB, and Light-intensity Physical Activity (LPA) for 15 min per day, there was a significant decrease in preschoolers' EF and many of its dimensions. …”
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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data by Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang

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The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

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Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia by Susmita Saha, Louise A. Corben, Louisa P. Selvadurai, Ian H. Harding, Nellie Georgiou-Karistianis

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Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis by Jiayu Li, Zhendiao Lin, Mengting Zou, Xin Feng, Yuanyue Liu

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