Post-Graduate Urology Training in Low- and Middle-Income Countries by Laith Baqain, Sanad Haddad, Ronny Baqain, Yaser El Hout, Mohammed Shahait

“…Disparities in access to surgical care between high-income countries (HICs) and low- and middle-income countries (LMICs) are evident. …”
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Polymorphism of <i>hOGG1</i> gene and susceptibility to malignant neoplasms in people affected by long-term low dose rate exposure by M. A. Yanishevskaya, E. A. Blinova, E. A. Shishkina, A. V. Akleyev

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Association between eating habits and low physical activity in adolescents by Đurđević Dragan, Nikolić Aleksandra, Mazić Sanja, Šipetić-Grujičić Sandra

“…The study instrument was a questionnaire regarding demographic characteristics, physical activity (International Physical Activity Questionnaire-Short Form), as well as eating habits. The data were analyzed using univariate and multivariate logistic regression analysis. …”
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SPINAL OSTEOARTHRITIS AS A CAUSE OF CHRONIC LOW BACK PAIN by A. E. Karateev, O. S. Davydov, N. N. Yakhno, L. I. Alekseeva, A. V. Amelin, A. N. Barinov, B. V. Zavodovsky, A. I. Isaikin, P. P. Kalinsky, S. I. Kritskaya, M. L. Kukushkin, S. A. Lapshina, A. M. Lila, V. A. Parfenov, I. G. Raginene, Yu. V. Trinitatsky, M. V. Churyukanov, E. Z. Yakupov

“…Based on their own experience and analysis of the data available in the literature, the authors defined a number of provisions that can later be used to formulate recommendations for the treatment and rehabilitation of patients with CNSLBP.…”
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Evaluating the Accuracy of Low-Cost Wearable Sensors for Healthcare Monitoring by Tatiana Pereira Filgueiras, Pedro Bertemes-Filho, Fabrício Noveletto

“…This study evaluates the accuracy of a low-cost wearable system for the continuous monitoring of vital signs, including heart rate, blood oxygen saturation (Sp<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="normal">O</mi><mn>2</mn></msub></semantics></math></inline-formula>), blood pressure trend (BPT), and body temperature. …”
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Acute hemodynamic, electrocardiographic, and hematological responses to high-velocity low intensity concentric and low-velocity high intensity eccentric resistance exercises in hea... by Jabbar Chegini, Hamid Arazi, Jalal Kheirkhah

“…The exercise protocol consisted of five sets of 10 repetitions, with 90 sec of rest between the sets and a two-second interval between actions. For data analysis, repeated measures ANOVA, one-way ANOVA, and Bonferroni's post hoc test were performed at a significance level of P≤0.05. …”
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Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

“…[Conclusion] Weibo texts serve as an effective data source for online public opinion analysis of sudden-onset disasters. …”
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The impact of diarrhoea in infants on the quality of life of low-income households by Montagu Murray, Marije Versteeg, Jannie Hugo

“…By means of a number of medical questions related to the duration of the diarrhoea and related symptoms, babies with severe diarrhoea were purposively sampled. After analysis of the data, these babies were classified as follows: 20 had severe diarrhoea, six had moderate diarrhoea and three were diagnosed as having had mild diarrhoea. …”
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Comprehensive Reservoir Architecture Dissection and Microfacies Analysis of the Chang 8 Oil Group in the Luo 1 Well Area, Jiyuan Oilfield by Jing Wang, Lixin Wang, Yanshu Yin, Pengfei Xie, Ge Xiong

“…This study employs a detailed reservoir architecture element analysis approach, integrating core samples, thin-section petrography, and geophysical logging data. …”
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Visualising and Valuing Urban Agriculture for Land Use Planning: A Critical GIS Analysis of Sydney and Neighbouring Regions by Joshua Zeunert, Scott Hawken, Josh Gowers

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Sustainability and efficiency analysis of 42 countries: Super SBM-DEA model and the GML productivity index with undesirable outputs by Amsalu K. Addis

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Dynamic behavior of the nucleus pulposus within the intervertebral disc loading: a systematic review and meta-analysis exploring the concept of dynamic disc model by Jean-Philippe Deneuville, Jean-Philippe Deneuville, Jean-Philippe Deneuville, Maxime Billot, Alexandra Cervantes, Sylvain Peterlongo, Martin Meyer, Mezika Kolder, Marie Escande, Mathilde Bourgeois, Adrien Pallot, Adrien Pallot, Romain David, Romain David, Romain David, Manuel Roulaud, Amine Ounajim, Mark Laslett, Mathieu Sarracanie, Najat Salameh, Arnaud Germaneau, Philippe Rigoard, Philippe Rigoard, Philippe Rigoard

“…Magnetic Resonance Imaging (MRI) was employed in 92.8% of the studies, revealing four strategies for assessing nucleus pulposus transformation. The meta-analysis of asymptomatic subjects’ data demonstrated that the nucleus pulposus behavior aligned with dynamic disc model predictions in 85.4% (95% CI = [79.4–91.4]) across spinal regions and bending directions. …”
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Association of artificial intelligence–predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows by C. Kemel, M. Salamone, B. Aernouts, I. Adriaens, G. Opsomer, P. Hut, M. Hostens

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Research on Electrical Equipment Big Data Mobile Laboratory Based on Power Grid Cloud Data Management and Its Application by WU Hao, XU Xiao, PENG Zinan, GUO Ninghui, WANG Qifeng

“…Aiming at the problems of low efficiency, low level of intelligent operation and low level of data informatization application encountered in the current substation equipment test operation, a mobile laboratory platform based on grid cloud data management was developed. …”
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Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand’s Emerging High-Speed Rail Network by Chinnakrit Banyong, Natthaporn Hantanong, Supanida Nanthawong, Chamroeun Se, Panuwat Wisutwattanasak, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

“…The analysis leverages stated preference (SP) data and employs Bayesian optimization in conjunction with a stratified 10-fold cross-validation scheme to ensure model robustness. …”
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Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

“…Numerical experiments, including simulation studies and real-world applications of OES data, demonstrate the effectiveness of the proposed method through superior prediction performance, as evidenced by low RMSE and MAE values, particularly in the presence of outliers.…”
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Impact of advanced lung cancer inflammation index on all-cause mortality among patients with heart failure: a systematic review and meta-analysis with reconstructed time-to-event d... by Ahmed Mazen Amin, Ramy Ghaly, Hossam Elbenawi, Abdelrahman Ewis, Ubaid Khan, Khaled S. M. Elshaer, Mohamed Abuelazm, Basel Abdelazeem, Brijesh Patel, Farris K. Timimi, Islam Y. Elgendy

“…We conducted a pair-wise and prognostic systematic review and meta-analysis with a reconstructed time-to-event data meta-analysis. …”
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SCALE EFFICIENCY IN TAMBAQUI FARMING IN EARTH PONDS IN THE METROPOLITAN REGION OF MANAUS-AM by Jesaias Ismael COSTA, Omar Jorge SABBAG, Maria Inez Espagnoli Geraldo MARTINS

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Applying Multi-Sensor Satellite Data to Identify Key Natural Factors in Annual Livestock Change and Winter Livestock Disaster (<i>Dzud</i>) in Mongolian Nomadic Pasturelands by Sinkyu Kang, Nanghyun Cho, Amartuvshin Narantsetseg, Bolor-Erdene Lkhamsuren, Otgon Khongorzul, Tumendemberel Tegshdelger, Bumsuk Seo, Keunchang Jang

“…A schematic model of nomadic landscapes was developed and used to select potential drivers retrievable from multi-sensor satellite data. Three alternative methods (principal component analysis, PCA; stepwise multiple regression, SMR; and random forest machine learning model, RF) were used to determine the key drivers for livestock changes and <i>Dzud</i> outbreaks. …”
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SCALE EFFICIENCY IN TAMBAQUI FARMING IN EARTH PONDS IN THE METROPOLITAN REGION OF MANAUS-AM by Jesaias Ismael COSTA, Omar Jorge SABBAG, Maria Inez Espagnoli Geraldo MARTINS

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