Generalized structural equation modeling of direct and indirect determinants of chronic undernutrition among under-five children in Ethiopia: further analysis of the 2019 mini Ethi... by Abel Endawkie, Awoke Keleb, Tenagnework Dilnesa, Yawkal Tsega

“…Therefore, this study aimed to determine the direct, indirect, and total effects of determinants on chronic undernutrition among under-five children in Ethiopia. Method The study used the nationally representative weighted samples of 4,917 under-five children from the 2019 rounds of the DHS. …”
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Glucosafe 2-A new tool for nutritional management and insulin-therapy in the intensive care unit: Randomized controlled study (the Glucosafe 2 protocol). by Aude de Watteville, Ulrike Pielmeier, Mariagrazia Di Marco, Angèle Gayet-Ageron, Nils Siegenthaler, Nicolas Parel, Hannah Wozniak, Steve Primmaz, Jérôme Pugin, Steen Andreassen, Claudia Paula Heidegger

“…<h4>Background</h4>Patients admitted to the Intensive Care Unit (ICU) can experience significant fluctuations in blood glucose levels, even if they do not have a history of diabetes. …”
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Multi-Granularity Domain-Adaptive Teacher for Unsupervised Remote Sensing Object Detection by Fang Fang, Jianing Kang, Shengwen Li, Panpan Tian, Yang Liu, Chaoliang Luo, Shunping Zhou

“…Object detection in remote sensing images (RSIs) is pivotal for various tasks such as natural disaster warning, environmental monitoring, teacher–student urban planning. Object detection methods based on domain adaptation have emerged, which effectively decrease the dependence on annotated samples, making significant advances in unsupervised scenarios. …”
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Causal Relationships between Academic Procrastination, Emotion Regulation and Academic Well-Being in Student: A Gender Diffrence Test by Atiyeh Motevassel, Jalil Fathabadi, Omid Shokri

“…To test the mediation role of emotion regulation in the relationship between academic procrastination with academic well-being, the statistical method of structural equation modeling (SEM) was used. …”
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Research on association analysis between electricity consumption behaviors and weather factors based on mapreduce by Yuehua Yang, Yun Wu

“…In order to discover the associations between users’ electricity consumption behavior and weather factors, and meet the needs of efficient mining of massive data, in this paper a parallel association rule mining method is presented based on MapReduce. Firstly, to convert electricity data into the form suitable for association rule mining, the density-based K-means method is implemented to discretize the electricity consumption data, in which the parallel calculation method of sample density is presented. …”
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A Vehicle Reidentification Algorithm Based on Double-Channel Symmetrical CNN by Lijun Yang, Tangsen Huang

“…In order to solve the above problems, a double-channel symmetric CNN vehicle recognition algorithm is proposed by improving the network structure. In this method, two samples are taken as input at the same time, in which each sample has complementary characteristics. …”
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Investigating the Impacts of a Modified Mindfulness Practice on Minoritized College Students’ Chronic Stress by Midley Michaud, Maiya Evans, Rebecca Mendez, Jalena Zapanta, Anthony Trochez, Kala M. Mehta, Leticia Márquez-Magaña, Audrey Parangan-Smith

“…Context: Students of color in the United States experience elevated stress across the entire spectrum of education, spanning from early stages of K-12 to the more advanced stages of postgraduate studies. …”
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The Effect of Barrier and Knee Tuck Jump Exercises on Volleyball's Vertical Jump Smash Ability by Boby Agustan, Alif Nuryasin

“…This study was accomplished for volleyball extracurricular students at SMP Negeri 3 Kuningan. The research method is an experiment with a one-group pre-test and post-test design. …”
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Co-Metric Learning for Person Re-Identification by Qingming Leng

“…Person re-identification, aiming to identify the same pedestrian images across disjoint camera views, is a key technique of intelligent video surveillance. Although existing methods have developed both theories and experimental results, most of effective ones pertain to fully supervised training styles, which suffer the small sample size (SSS) problem a lot, especially in label-insufficient practical applications. …”
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Reinterpreting ethnic patterns among white and African American men who inject heroin: a social science of medicine approach. by Philippe Bourgois, Alexis Martinez, Alex Kral, Brian R Edlin, Jeff Schonberg, Dan Ciccarone

“…Effective clinical treatment and public health intervention for this population requires an understanding of their cultural environment and experiences. Social science theory and methods offer tools to understand the reasons for economic and ethnic disparities that cause individual suffering and stress at the institutional level.…”
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Multicomponent body composition of university club sport athletes by Dale R. Wagner, Edward M. Heath, Sara A. Harper, Elizabeth A. Cafferty, Masaru Teramoto, Alyssa Evans, Tate Burch, Jacob McBride, Steven Spencer, Michael N. Vakula

“…Additionally, the majority of norms for NCAA athletes were created from individual methods requiring assumptions.Objective This study used a four-component (4C) model to measure the body composition of university club sports athletes.Methods Data were collected on club athletes participating in baseball, climbing, cycling, figure skating, gymnastics, ice hockey, lacrosse, pickleball, powerlifting, racquetball, rodeo, rugby, soccer, swimming, ultimate, and volleyball. …”
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Adapting the group traumatic episode protocol approach as a paraprofessional-led early intervention for law enforcement personnel by Monika Ozga, Maryjo Hart, Theo Niyonsenga, Larissa Coulter

“…Methods: Police officers and staff, with peer support background, were trained as paraprofessionals to facilitate mGTEP as early mental health support for their colleagues. …”
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Oncology Clinicians' Perspectives of a Remote Patient Monitoring Program: Multi-Modal Case Study Approach by Ann Marie Mazzella-Ebstein, Robert Daly, Jennie Huang, Camila Bernal, Clare Wilhelm, Katherine S Panageas, Jessie Holland, Rori Salvaggio, Jill Ackerman, Jennifer Cracchiolo, Gilad Kuperman, Jun Mao, Aaron Begue, Margaret Barton-Burke

“…MethodsThe sample included 30 of 98 clinicians (31% response rate) managing at least 5 patients in the RPM program and responding to the mHealth usability between March 2021 and October 2021. …”
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Examining maternal and fetal outcomes across various subtypes of hypertension during pregnancy by Laith Alhuneafat, Fares Ghanem, Sneha Nandy, Sana Khan, Anushree Puttur, Ahmad Jabri, Alaq Haddad, Bhavadharini Ramu, Bethany Sabol, Jessica Schultz, Selma Carlson

“…It includes chronic hypertension (CH), gestational hypertension (GH), preeclampsia (PRE), and CH with superimposed preeclampsia (SPE).We aim to assess in-hospital maternal and fetal outcomes of women in each of these groups in comparison to normotensive controls. Methods: Study sample included women in the National Inpatient Sample dataset from 2016 to 2020 who were categorized into the 4 groups of HDP as described above. …”
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Professional quality of life of child welfare workers and psychotherapists working with traumatized young unaccompanied refugees in Germany: a cross-sectional study by Pia Maria Schwegler, Barbara Kasparik, Jonathan Thielemann, Rebekka Eilers, Elisa Pfeiffer, Cedric Sachser, Rita Rosner

“…Results Both samples showed average to high levels of CS, and low to average levels of BO and STS. …”
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Peer bullying victimization, psychological distress, and the protective role of school connectedness among adolescents by Tiwaloluwa A. Ajibewa, Kiarri N. Kershaw, Mercedes R. Carnethon, Nia J. Heard-Garris, Lauren B. Beach, Norrina B. Allen

“…Results Two thousand one hundred seventy-five adolescents (aged 15.5 ± 0.68 years; 50% non-Hispanic Black; 49% female) were included in the sample. Among the sample participants, 39.4% of adolescents had no experience with bullying, 43.0% had prior bullying, 5.7% with recent bullying, and 11.9% with long-term bullying. …”
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Reinforcement Learning with Multi-Policy Movement Strategy for Weakly Supervised Temporal Sentence Grounding by Shan Jiang, Yuqiu Kong, Lihe Zhang, Baocai Yin

“…To better learn the alignment, we propose a Gaussian-based Dual-Alignment Module (GDAM) which combines the strengths of both scoring-based and reconstruction-based alignment methods, addressing the issues of negative sample bias and language bias. …”
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Measuring the Inferential Values of Relations in Knowledge Graphs by Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong

“…To address this problem, this work, inspired by information entropy and uncertainty-measurement methods in knowledge bases, proposes a method called Relation Importance Measurement based on Information Entropy (RIMIE) to measure the inferential value of relations in knowledge graphs. …”
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Tribological Properties of Nano-dimensional Systems Containing Carbon Surfaces by A.V. Khomenko, N.V. Prodanov, К.P. Khomenko, D.S. Troshchenko

“…However, reliable confirmation of this hypothesis is absent in the literature. We also review methods of the graphene preparation through exfoliation of a graphite sample and formation of defects in graphene as a result of its irradiation by different particles. …”
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The Gamma Distribution and Inventory Control: Disruptive Lead Times Under Conventional and Nonclassical Conditions by John E. Tyworth

“…Despite these challenges, this research demonstrates that a gamma LTD approximation is an effective method for managing these goods. <i>Methods</i>: This study employs numerical experiments to assess accuracy at high service levels, focusing on errors in system cost and product availability. …”
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