Effect of Relative Isometric Strength on Countermovement Jump Performance in Professional and Semi-Professional Soccer Players by Nicholas Joel Ripley, Jack Fahey, Nabil Hassim, Paul Comfort

“…A series of one-way Bayesian independent <i>t</i>-tests were performed to determine the difference between strong and weak groups. …”
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Detecting Older Adults’ Behavior Changes During Adverse External Events Using Ambient Sensing: Longitudinal Observational Study by Roschelle Fritz, Diane Cook

“…MethodsSecondary analysis of historic ambient sensor data collected on 39 adults managing one or more chronic conditions was performed. …”
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The accuracy of ultrasonography for detection of enlarged parathyroid glands in patients with different forms of hyperparathyroidism by Stefanović Dara, Petrović Milan, Dugonjić Sanja

“…Ultrasonography is a cheap, easily available and convenient method for diagnosis. The aims of this study were: to determine the utility of ultrasonography for preoperative identification and localization of enlarged parathyroid glands (PTG) in patients with different forms of hyperparathyroidism (HPT); to examine the frequency of PTG detection in patients previously non-suspected for HPT but having symptoms relevant to the disease; to determine sensitivity and positive predictive value (PPV) of ultrasonography for identification of PTG in HPT and to compare obtained results with those obtained by scintigraphy. …”
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CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

“…Four mainstream machine learning algorithm training models, namely, support vector machine (SVM), k-nearest neighbour (kNN), light gradient boosting (LightGBM) and logistic regression (LR), were constructed to determine the best classifier model. Univariate and multivariate analyses were used to determine the best clinical characteristics for constructing a clinical model. …”
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Analysis of Temperature Characteristics of Electrolytic-Plasma Discharge in Jet Processing of a Metal Anode by A. I. Popov, V. I. Novikov, D. N. Ivanov, I. A. Kozyrskiy

“…The research objective is to determine the distribution of temperatures and heat flows in the system “jet electrolytic cathode — metal anode” under various processing conditions.Materials and Methods. …”
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Comparative analysis of anthocyanin content in various tomato samples in connection with breeding by E. A. Dzhos, M. I. Mamedov, O. N. Pyshnaya, N. A. Golubkina, O. V. Verba, A. A. Matyukina

“…The aim of our research was to determine the quantitative composition of phenolic compounds - anthocyanins in different tomato samples, and on this basis to determine the objectives of breeding to improve the content of phenolic compounds.Results. …”
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Investigating the Relationship Between Altruism and Social Support With the Resilience of Rescuers by Iman Shakibkhah, Mitra Rafiei, Mohammad Javad Moradian, Milad Ahmadi Marzaleh, Mehdi Heidari, Elahe Piraee

“…Data were analyzed using SPSS software, version 26 to determine measures of central tendency, dispersion, and correlations. …”
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Optimization of the Lens Nucleus Fragmentation during Phacoemulsification in Patients with Pseudoexfoliation Syndrome by V. M. Malov, A. V. Zolotarev, E. B. Eroshevskaya, I. V. Malov, A. E. Gorbunov

“…Morphometry of the lens nuclei in patients with pseudoexfoliation syndrome allowed to determine the average radius of curvature of the nucleus equator, which is made up 2.89 ± 0.14 mm, according to the performance curve of the Gauss — 2.895– 3.530 mm. …”
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Conveyor belt deviation identification algorithm based on anchor point positioning and cross-layer correction by Zhe WANG, Zhe FU, Pengjun CAO, Qing LI, Gaoxiang ZHANG

“…The running state of coal mine conveyor belts is of crucial importance for safe production, and conveyor belt deviation has a significant impact on the transportation efficiency and safety of conveyor belts. Conveyor belt edge detection is an important basis for determining whether conveyor belts deviate or not. …”
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Utility of CA-125 for diagnosis and prognosis of breast cancer: a systematic review by Zohre Momenimovahed, Afrooz Mazidimoradi, Leila Allahqoli, Zohre Khalajinia, Hamid Salehiniya, Ibrahim Alkatout

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Effects of 8-weeks of training conducted at two ambient temperatures on basic physiological characteristicsand heat stress levels in young, non-training men by Piotr Koteja, Tomasz Pałka, Szczepan Wiecha, Łukasz Tota, Boryana Angelova-Igova, Michał Swolkień, Olga Czerwińska-Ledwig, Małgorzata Bagińska, Paweł Ostrowski, Anna Tyka, Barbara Szpotowicz-Czech, Dorota Ambroży, Agata Czuban-Szlachetka, Anna Piotrowska

“…The aim of this study was to determine the effects of aerobic physical training at two different ambient temperatures of 210.50C and 310.50C on the level of exercise physiological responses of the body in young, non-trained men.Material and Methods: Basic anthropometric measurements were taken, as well as baseline exercise tests to assess aerobic capacity and the efficiency of the body’s exercise thermoregulatory mechanisms. …”
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Electrocatalytic and photocatalytic activities of two alkynyl Ag20 cage clusters involved ligand exchange between PhCOO− and CF3COO− by Yi-Fan Tan, Li Li, Kun Zhou, Guang-Min Liang, Jing Sun, Jiu-Yu Ji, Yan-Feng Bi

“…Two silver alkynyl clusters, [(CO32−)@Ag20(tBuC≡C)14(PhCOO)3(CF3COO)] (1) and [(CO32−)@Ag20(tBuC≡C)14(PhCOO)(CF3COO)3] (2), composed of alkynyl Ag20 shell templated by a CO32− anion and supported by carboxyl ligands PhCOO− and CF3COO−, were synthesized successfully by conventional methods. Single crystal X–ray diffractometer (SCXRD) was used to determine the precise structures of 1 and 2. …”
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Characterizing spatial epidemiology in a heterogeneous transmission landscape using the spatial transmission count statistic by Leke Lyu, Gabriella Veytsel, Guppy Stott, Spencer Fox, Cody Dailey, Lambodhar Damodaran, Kayo Fujimoto, Pamela Brown, Roger Sealy, Armand Brown, Magdy Alabady, Justin Bahl

“…Intensive and widespread efforts to collect and sequence SARS-CoV-2 viral samples have enabled the development of comparative genomic approaches to reconstruct spatial transmission history and understand viral transmission across different scales. Methods We proposed the spatial transmission count statistic that efficiently summarizes the geographic transmission patterns imprinted in viral phylogenies. …”
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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…This resulted in a reduction in AVD by 0.37% and VSI by 0.24%, demonstrating the superiority of the suggested method. Furthermore, it has been demonstrated that the computational efficiency in complex systems is 24% faster than that of conventional optimization methods.…”
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Gaining Insight into Operative Performance: Analysis of an Automated 360-Degree Feedback Tool Among Perioperative Staff by Stefanie J. Soelling, MD, MPH, Robert D. Sinyard, MD, Lauren Spigel, MPH, Max Riley, MD, Paul Gregory, PhD, Nick Perdomo, MS, Yves Sonnay, MScPH, Steven Yule, PhD, Steven J. Fishman, MD, Douglas S. Smink, MD, MPH, FACS

“…Combined inductive and deductive coding was used to determine their perceptions regarding the utility of and barriers to the i360. …”
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Targeting atrial fibrillation in HFpEF: the emerging role of pulsed field ablation by A. S. Parwani, A. S. Parwani, A. S. Parwani, B. Kossmann, B. Kossmann, V. Schweiger, V. Schweiger, V. Schweiger

“…As PFA gains traction for its procedural efficiency and favorable safety profile, its role in managing AF in HFpEF may expand. …”
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Investigating the influence of soil organic carbon on pore structure within aggregates by Jingjing Liu, Yu Tian, Chiara Pasut, Mark Farrell, Shenggao Lu

“…SOC plays a vital role in determining soil functionality and ecosystem services and is the primary driver of pore geometry within soil aggregates, yet traditional in-situ analysis methods have fallen short in accurately describing its intricate distribution. …”
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Enhancing Marshall stability of asphalt concrete using a hybrid deep neural network and ensemble learning by Henok Desalegn Shikur, Ming-Der Yang, Yared Bitew Kebede

“…Accurate prediction of Marshall Stability (MS) is vital for asphalt concrete mix design and performance evaluation, yet traditional laboratory methods are resource-intensive. This study proposes and evaluates hybrid machine learning models, specifically integrating a deep neural network (DNN) base learner with various ensemble techniques (Random Forest, XGBoost, LightGBM, CatBoost, AdaBoost) through stacking, to enhance the accuracy and efficiency of MS prediction. …”
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Approach to Selenium Application in Different Soil Concentrations for Encouraged Yield, Distribution, and Biofortification of Common Buckwheat Seeds (<i>Fagopyrum esculentum</i> Mo... by Alexandra Zapletalová, Marek Kolenčík, Ladislav Ducsay, Mária Vicianová, Tomáš Vician, Ivan Černý, Rastislav Bušo

“…Following manual harvesting, chemical analysis was conducted using methods such as atomic absorption spectroscopy (AAS) and inductively coupled plasma mass spectrometry (ICP-MS), along with yield determination. …”
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Carbon footprint reduction associated with a surgical outreach clinic by David Forner, Chad Purcell, Victoria Taylor, Christopher W. Noel, Larry Pan, Matthew H. Rigby, Martin Corsten, Jonathan R. Trites, Antoine Eskander, Ted McDonald, S. Mark Taylor

“…Canadian datasets of manufacturer provided vehicular efficiency were used to estimate carbon emissions for each participant. …”
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