Test of the relationship between adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis by Ning Wang, Ziyi Wang, Hui Liu, Yifeng Wang, Jinkun Li, Xiaobin Hong

“…This study investigated the dose‒response relationship between Chinese adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis (CoDA). Methods The temporal distribution of 24-h activity behaviors of 176 adolescents was objectively measured by accelerometers, and anxiety symptoms were assessed by the Self-Rating Anxiety Scale (SAS). …”
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Impact of Ants on the Order Composition of Canopy Arthropod Communities in Temperate and Tropical Forests by Andreas Floren, Tobias Müller

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Measurement of Neutral Atmosphere Density during the Years of Increasing Solar Activity Using Insight-HXMT Data with the Earth Occultation Technique by Hao-Hui Zhang, Wang-Chen Xue, Xiao-Bo Li, Shuang-Nan Zhang, Shao-Lin Xiong, Yong Chen, Hai-Tao Li, Li-Ming Song, Ming-Yu Ge, Hai-Sheng Zhao, Yun-Wei Yu

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Copula Functions for Spatial Survival Data Analysis by Mohsen Mohammadzadeh, Nasrin Ebrahimi, Giuliana Cortese

Subjects: “…spatial survival data…”
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Development of Criteria for Assessing Nutritional Status in Moscow Children and Adolescents 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 children and adolescents using bioimpedance analysis data.Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of children and adolescents aged 5–17 in Moscow health centers from 2010 to 2019 by the method of bioimpedance analysis. …”
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Explainable machine learning and feature engineering applied to nanoindentation data by C.O.W. Trost, S. Žák, S. Schaffer, L. Walch, J. Zitz, T. Klünsner, H. Leitner, L. Exl, M.J. Cordill

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Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series by Katarzyna Ewa Lewińska, David Frantz, Ulf Leser, Patrick Hostert

“…We considered separate and joint use of both data archives and analyzed the spatio-temporal availability of composites during each calendar year and pixel-specific growing season across a variety of time windows and hypothesizing data interpolation. …”
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Robust biochar yield and composition prediction via uncertainty-aware ResNet-based autoencoder by Yali Zhang, Bowen Lei, Amirhossein Mahdaviarab, Xiao Wang, Zong Liu

“…This paper presents a ResNet-based autoencoder model that utilizes biomass properties and pyrolysis conditions to more accurately and robustly predict biochar yield and composition. The developed model has the advantage of addressing the common data uncertainty concerns in training data. …”
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Composite Tor traffic features extraction method of webpage in actual network flow based on SDN by Hongping YAN, Qiang ZHOU, Shihao WANG, Wang YAO, Liukun HE, Liangmin WANG

“…Website fingerprinting (WF) methods for Tor webpage traffic are often based on the separated Tor traffic or even the separated Tor webpage traffic.However, distinguishing Tor traffic from the original traffic of the actual network and Tor webpage traffic from the Tor traffic costs amount of computation, which is more difficult than the WF attack itself.According to the current architecture of the Internet and the characteristics of network traffic converging to regional central nodes, the bi-directional statistical feature (BSF) was proposed for distinguishing Tor traffic through the intra-domain global perspective provided by the SDN structure of the central node and the node information disclosed by the Tor network.Furthermore, a hidden feature extraction method for Web traffic based on lifted structure fingerprinting (LSF) was proposed, and a composited Tor-webpage-identification traffic feature (CTTF) was proposed based on BSF and LSF deep features.For solving the problem of traffic training data scarcity, a traffic data augmentation method based on translation was proposed, which made the augmented traffic data as consistent as the Tor traffic data captured in the real working environment.The experimental results show that the identification rate based on CTTF can be improved by about 4% compared with using only the original data features.When there is less training data, the classification accuracy is improved more obvious after using the traffic data augmentation method, and the false positive rate can be effectively reduced.…”
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Associations between 24-hour movement compositions and cardiometabolic health in children and adolescents: a five-part compositional analysis using data from the International Children’s Accelerometery Database (ICAD) by Russell R Pate, John J Reilly, Kate Northstone, EMF van Sluijs, Russ Jago, Niels Wedderkopp, R Davey, Luis B Sardinha, Jardena Puder, J Reilly, K Northstone, LB Andersen, S Kriemler, R Jago, J Salmon, G Cardon, Pedro Curi Hallal, Adam Runacres, Zoe A Marshall, Soyang Kwon, Ester Van Slujis, S Anderssen, P Hallal, S Kwon, N Møller, R Pate, JJ Puder, LB Sardinha

“…The aim of this study was to determine the joint influence of SED, light-, moderate- and vigorous-intensity PA (LPA, MPA and VPA), and sleep on CMR factors using five-part compositional analyses.Methods Data were pooled from 16 cohort studies comprising 22 474 children and adolescents from the International Children’s Accelerometery Database. …”
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An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data by Chang-Myung Oh, Ji-In Bang, Sang Yoon Lee, Jae Kyung Lee, Jee Won Chai, So Won Oh

“…The present study aimed to identify age-related changes in body composition and glucose metabolism in Korean using opportunistic FDG-PET/CT imaging. …”
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Data on compositional diversity of textural varieties of lake superior-type Banded Iron Formation (BIF) of the Njweng prospect, Mbalam iron ore district, southern CameroonMendeley Data by Dieudonne Charles Isidore Ilouga, Cheo Emmanuel Suh, Akumbom Vishiti, Elisha Muntum Shemang

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Data mining of rice genome by FAN Long-jiang, GUO Xing-yi

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Data on Brazilian Powdered Milk Formulations for Infants of Various Age Groups: 0–6 Months, 6–12 Months, and 12–36 Months by Francisco José Mendes dos Reis, Antonio Marcos Jacques Barbosa, Elaine Silva de Pádua Melo, Marta Aratuza Pereira Ancel, Rita de Cássia Avellaneda Guimarães, Priscila Aiko Hiane, Flavio Santana Michels, Daniele Bogo, Karine de Cássia Freitas Gielow, Diego Azevedo Zoccal Garcia, Geovanna Vilalva Freire, João Batista Gomes de Souza, Valter Aragão do Nascimento

“…The thermal degradation behavior of the samples is not the same due to their fatty acid compositions. The data presented may be useful in identifying compounds present in infant milk powder used as a substitute for breast milk and understanding the mechanism of thermal stability and degradation, ensuring food safety for those who consume them.…”
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Mineral Composition of Skeletal Elements in Dorid Nudibranchia <i>Onchidoris muricata</i> (Gastropoda, Mollusca) by Dmitry A. Ozerov, Ekaterina D. Nikitenko, Alexey A. Piryazev, Andrey I. Lavrov, Elena V. Vortsepneva

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MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling by Yewei Xiong, Xinwen Gao, Dahua Ye

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Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

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Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study by Gowtham G K, Thejas G. Urs

“…This study rigorously investigates cobalt chloride doped hydroxypropyl methylcellulose composite films, taking a significant step toward understanding structure property relations. …”
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Associations of reallocating time between movement behaviours with adiposity and physical fitness among employees: a compositional data analysis by Nucharapon Liangruenrom, Dorothea Dumuid, Zeljko Pedisic, Dyah Anantalia Widyastari, Waris Wongpipit, Piyawat Katewongsa

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Optimizing catalyst layer composition of PEM fuel cell via machine learning: Insights from in-house experimental data by Yuze Hou, Patrick Schneider, Linda Ney, Nada Zamel

“…In this work, we apply an Artificial Neural Network (ANN) model to forecast the performance and durability of a PEM fuel cell based on its cathode CL composition. The model is trained and validated based on experimental data measured at our laboratories, which consist of data from 49 fuel cells, detailing their cathode CL composition, operating conditions, accelerated stress test conditions, polarization curves and ECSA measurements throughout their lifespan. …”
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