Long-term impact of the COVID-19 pandemic on physical activity and estimated cardiorespiratory fitness in south American adults: a multi-country cross-sectional online survey by Victor Zuniga Dourado, Maria do Socorro Morais Pereira Simões, Vinícius Tonon Lauria, Pablo Gulayin, Laura Gutierrez, Ricardo Peña-Silva, Isabel Pereyra-González, Alfonsina Ortiz, Sandra Lopez-Arana, Indah Suci Widyahening, Laila Al-Shaar, Goodarz Danaei, Rosana Poggio, On behalf of Lown Scholars in Physical Activity and Fitness Network (PA&FIT)

“…We also observed an increase in the proportion of participants with hypertension (12.9 vs. 16.5%), diabetes (6.8 vs. 9.8%), dyslipidemia (18.9 to 24%), depression symptoms (14.4 to 15.4%) and obesity (15.4 to 18.2%) compared with pre-pandemic levels (all p-values < 0.05). The eCRF was significantly lower at the survey time compared with pre-pandemic levels (mean difference, -1.17 mL/min/kg (or 3.34%): 95% CI, -1.03 to -1.30) even after adjusting for age (-0.50 mL/min/kg (or 1.45%): 95% CI -0.37 to -0.64). …”
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Effects of two forms of school-based high-intensity interval training on body fat, blood pressure, and cardiorespiratory fitness in adolescents: randomized control trial with eight... by Jarosław Domaradzki, Marek Popowczak, Katarzyna Kochan-Jacheć, Paweł Szkudlarek, Eugenia Murawska-Ciałowicz, Dawid Koźlenia

“…The second-order interaction for VO2max (time × sex × group: F = 6.960, p = 0.001, η2pG = 0.003, d = 0.05) indicated that the improvements over time were not related to the training variant. …”
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Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tom... by Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi

“…The incomplete records with missing values of more than 70% were excluded, and the remaining missing values were imputed using the mean and mode values for the continuous and discrete variables, respectively. …”
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A New Transformer Network for Short-Term Global Sea Surface Temperature Forecasting: Importance of Eddies by Tao Zhang, Pengfei Lin, Hailong Liu, Pengfei Wang, Ya Wang, Weipeng Zheng, Zipeng Yu, Jinrong Jiang, Yiwen Li, Hailun He

“…Specifically, the ACC value dropped to 0.89 in the Gulf Stream region at a 3-day lead time, while maintaining 0.92 globally. …”
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The examination of physical function and cognitive outcomes in middle-to-older high-risk adults: an unsupervised clustering method by Joshua L. Gills, Joshua L. Gills, Megan D. Jones, Anthony Campitelli, Anthony Campitelli, Sally Paulson, Sally Paulson, Cody Diehl, Charles Rodgers, Charles Rodgers, Erica Madero, Jennifer R. Myers, Kelsey Bryk, Omonigho Michael Bubu, Omonigho Michael Bubu, Omonigho Michael Bubu, Jordan M. Glenn, Michelle Gray

“…Cluster 1 (C1; n = 29) was characterized as the highest strength/power, faster dual-task walking time, and higher aerobic capacity, Cluster 3 (C3; n = 113) had the lowest values between PFI groups, Cluster 2 (C3; n = 74) was in-between C1 and C3. …”
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Performance optimization of D2 tool steel machining using novel multi-material cladded electrodes in electric discharge machining by Shoaib Mohammad, M. Wasiq Habib, Ammara Kanwal, Muhammad Asim, Muhammad Farooq, Imran Zahid, Noreen Sher Akbar, Hussein Togun, Fahid Riaz

“…Discharge current, pulse time ratio and spark voltage were taken as variable parameters and Taguchi L9 array was established to identify design of experiments (DOE) that are used for experimentation of each of the two configurations. …”
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Site‐Specific Mutations on KRAS, NRAS, and BRAF Corelate With the Frequency of ctDNA in Colorectal Cancer by Fumihiro Yoshimura, Yoichiro Yoshida, Teppei Yamada, Keita Tanaka, Takaomi Hayashi, Hideki Shimaoka, Ryohei Sakamoto, Naoya Aisu, Gumpei Yoshimatsu, Suguru Hasegawa

“…Although circulating tumor DNA (ctDNA) is an important biomarker in CRC patients, positivity is variable because cutoff values for each gene have not been clearly established. …”
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Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models (<i>δ</i>HBV-globe1.0-hydroDL) by D. Feng, D. Feng, D. Feng, H. Beck, J. de Bruijn, J. de Bruijn, R. K. Sahu, Y. Satoh, Y. Wada, J. Liu, M. Pan, K. Lawson, C. Shen

“…More recently, differentiable physics-informed machine learning models with a physical backbone can systematically integrate physical equations and DL, predicting untrained variables and processes with high performance. However, it is unclear if such models are competitive for global-scale applications with a simple backbone. …”
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Characterization of a new radiochromic film (LD-V1) using mammographic beam qualities by Erika Nakajima, Hitoshi Sato

“…Irradiation was performed using the time scale method based on the load on the equipment. …”
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On the issue of improving the methodology for confirming maximum safe (design) speed of freight railcars by G. I. Gadzhimetov, A. A. Lunin, G. I. Petrov

“…In fact, it is necessary to repeat tests to set running speeds, but in a short time, which is very cost-intensive. Based on the foregoing, in order to eliminate the risks associated with safety violation, to confirm the design speed and in order to reduce costs when applying new rolling stock, a full-scale virtual method has been proposed that provides the use of a computer simulation, in which the design speed specified in the technical documentation is set at the stage of rolling stock development, taking into account the operational variability of car running gear and the track state.…”
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Automatic fluorescence microscopic image analyzer: a novel AI-based tool for early diagnosing superficial fungal infections by Wenjing He, Chunjiao Zheng, Lianjuan Yang, Jingwen Tan

“…Their diverse and often non-specific clinical manifestations necessitate accurate and timely laboratory diagnosis. Traditional methods such as potassium hydroxide (KOH) microscopy and fluorescence staining, although widely used, are limited by operator dependency, variability in sensitivity, and time-consuming procedures. …”
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Validity of the scoring system for traumatic liver injury: a generalized estimating equation analysis by Kangho Lee, Dongyeon Ryu, Hohyun Kim, Chang Ho Jeon, Jae Hun Kim, Chan Yong Park, Seok Ran Yeom

“…The primary outcome variable was in-hospital mortality. All the risk factors were analyzed using multivariate logistic regression analysis. …”
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Magnitude of late presentation for induced abortion care services and the associated factors among reproductive-age women at selected hospitals in the South Gondar district of Nort... by Eyaya Habtie Dagnaw, Marta Berta, Endehsaw Admasu Cherkos, Endalamaw Wondie Mequannent

“…Binary logistic regression analyses were undertaken to identify the factors associated with the outcome variable. The level of significance was declared at a p value of &lt;0.05.Results The magnitude of late presentation for induced abortion care service was 21.5% (95% CI 17.7, 25.7). …”
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Environment-forming activity of barley regenerants root systems in the conditions of acid soils toxicity by O. N. Shupletsova, I. N. Shchennikova

“…Not all regenerants possessed breeding value. Selection in vitro of Al- resistant sort Novichok has not led to positive results. …”
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CRYOGENESIS AND GEODYNAMICS OF ICING VALLEYS by V. R. Alekseyev

“…In the mature aufeis glades, there are sites undergoing various development stages, which gives evidence that aufeis channelling is variable in a wide range in both space and time. With respect to sizes of aufeis glades, river flow capacities and geological, geomorphological, cryo-hydrogeological conditions, aufeis patterns of the channel network are classified into five types as follows: fan-shaped, cone-shaped, treelike, reticular, and longitudinal-insular types. …”
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Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics by Jordan Henderson BS, Santiago Logan-Baca BS, Sara Kisiel BS, Fadi Muheidat PhD, David Jaffe MD

“…However, the relationship between activity levels (measured by step counts) and pain perception (Pain-VAS scores) proved complex, with variable moderate correlations (3-month Pain-VAS Score vs 3-month Steps, r= 0.416, 95% CI: −0.245to 0.813) suggesting that higher activity might be associated with greater pain at different time points. …”
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Development and validation of models for predicting preterm birth and gestational latency following emergency cervical cerclage: A multicenter cohort study by Cheng Chen, Baihui Zhao, Yu Pan, Lujiao Chen, Xiaofu Yang, Min Lv, Liping Qiu, Mengmeng Yang, Xia Ying, Minmin Wang, Huanhuan Wang, Xiuying Chen, Xiaoxing Zhang, Xiaofeng Weng, Qiong Luo

“…Univariate and multivariate logistic and Cox regression analyses were used to identify independent predictive variables and establish the models. Harrell's C‐index, time‐dependent receiver operating characteristic curves and areas under the curves, calibration curve, and decision curve analyses were performed to assess the models. …”
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Reproducibility of ultrasound-derived fat fraction in measuring hepatic steatosis by Danlei Song, Pingping Wang, Jiahao Han, Huihui Chen, Ruixia Gao, Ling Li, Jia Li

“…Meanwhile, the ICC of the two operators increased over time. The variable measurement states did not influence the UDFF values on the surface, but they affected the coefficient of variation (Cov) of the results. …”
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Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector by Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bireiro, Inês Santiago, Joana Ip, Sara Belião, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, The ProCAncer-I Consortium, Nickolas Papanikolaou

“…Computational methods have been shown to help this process, using multiparametric MRI (mpMRI) data to detect PCa, effectively providing value during the diagnosis and monitoring stages. …”
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Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients by Vendula Bartáková, Linda Klimešová, Katarína Kianičková, Veronika Dvořáková, Denisa Malúšková, Jitka Řehořová, Jan Svojanovský, Jindřich Olšovský, Jana Bělobrádková, Kateřina Kaňková

“…A total of 421 T2DM patients with variable baseline stage of diabetic kidney disease (DKD) were prospectively followed. …”
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