Range of Motion and Muscle Stiffness Differences in Junior Tennis Players with and without a History of Shoulder Pain by Joshua Colomar, Javier Peña, Jordi Vicens-Bordas, Ernest Baiget

“…# Background Due to its significant unilateral predominance, tennis can provoke functional and morphological asymmetries that develop over time and may result in undesired morphological alterations…”
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Calculation of the Required Power of Electric Motors for Overhead Crane Movement Mechanisms Using the Statistical Method by Kovalenko V., Zhuravel O., Strizhak V., Iglin S., Strizhak M.

“…The set aim is achieved by solving the following problems: figur-ing out how to calculate the power of the electric motor of the overhead traveling crane mecha-nism by the traditional methodology; selecting constants known from the initial data and varia-bles that require additional calculation; collecting and arranging statistical data - values of varia-bles for overhead cranes of different spans and load capacities; determining regression equa-tions based on statistical data - functions of two variables from the load capacity and span; sub-stituting the equations for the power of the overhead traveling crane mechanism from the load capacity and span. …”
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Evaluating the Quality of Life in Advanced Laryngeal and Oral Cancer Undergoing Extensive Surgeries by Usha Armo, Harbansh Kumar Singh, Arpita Singh, Nageshwar Venkatesh Reddy, Sushil Kumar Sahoo, AR Lingaraju, Mahesh Ghadage, Dipooja Patil

“…Arbitrary values for QoL scores ranged from 0 (worst) to 100 (best). …”
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Early Death Among COVID-19 Patients: A Cross-sectional Analysis of the First 10,000 COVID-19 Deaths from the Indian State of Tamil Nadu by Zarin Pilakkadavath, Janice M. Weinberg, Serin Kuriakose, Shahul H. Ebrahim, Lekha D. Bhat, Bindhya Vijayan, Salman Khan, Soji D. Jose, Premini Rajeev, Jinbert L. Azariah, Shaffi Fazaludeen Koya

“…Methods We conducted a cross sectional analysis of state government administrative data to describe deaths, examine the differences between early deaths and non-early deaths, and calculate the risks of early death for several independent variables. All p-values < 0.05 were considered statistically significant. …”
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Large‐scale breeding applications of unoccupied aircraft systems enabled genomic prediction by Andrew W. Herr, Peter Schmuker, Arron H. Carter

“…In univariate models, when test year NDVI data were available and used to calculate breeding values, prediction performance was at least 16% better than the control, ranging in prediction accuracy from 0.54 in 2019 to 0.93 in 2020. …”
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Morphological Model for Erosion Prediction of India’s Largest Braided River Using MIKE 21C Model by Kuldeep Pareta

“…To understand how the river changes over time, this study focused on two stretches: Palasbari-Gumi and Dibrugarh. …”
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Restoration of autonomic balance and cortical and cerebral structures functions harmonization indicators by means of gamma-aminobutyric acid system modulation in patients with prim... by V. V. Batushkin, I. О. Lavrinchuk

“…To assess the state of autonomic regulation we used analysis of heart rate variability (HRV) values obtained with the IPEC-6-CARDIOPLUS FASAGRAF® device. …”
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Automated Geographic Information System Multi-Criteria Decision Tool to Assess Urban Road Suitability for Active Mobility by Bertha Santos, Sandro Ferreira, Pollyanna Lucena

“…The treatment, representation, and study of the variables considered in the analysis are carried out with the aid of geoprocessing, using the spatial and network analysis tools available in the GIS. …”
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Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture by Vaishali Swaminathan, J. Alex Thomasson, Robert G. Hardin, Nithya Rajan, Rahul Raman

“…These observations highlighted the challenges in appropriately calibrating canopy and soil reflectance values subjected to exposure setting variabilities. …”
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Qualitative and quantitative characterization of the Surma cattle population in the Bench Maji Zone, Southwest Ethiopia by Gedefaw Fetene, Wondmagegn Kefyalew Alemayehu, Damitie Kebede, Teshale Dereje Birara

“…This study provides basic phenotypic information about Surma cattle for the first time, which is important for genetic study, conservation, and breed improvement. …”
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Mining autonomous student patterns score on LMS within online higher education by Ricardo Ordoñez-Avila, Jaime Meza, Sebastian Ventura

“…This approach may provide indicators of interest for understanding and improving online learning from a personalized, real-time perspective.…”
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Endocrine profile and OPU-ICSI outcomes in mares: a comparative study by Dragos Scarlet, Gerhard Schuler, Eleni Malama, Heinrich Bollwein, Carlotta Bocci, Silvia Colleoni, Giovanna Lazzari, Cesare Galli, Mariusz Pawel Kowalewski

“…Despite recent improvements in equine ovum pick-up (OPU) combined with intracytoplasmic sperm injection (ICSI), there is still significant inter-individual variability. In this study, serum concentrations of the oocyte-secreted factors growth differentiation factor 9 (GDF9) and bone morphogenetic protein 15 (BMP15), as well as the GDF9/BMP15 complex, anti-Müllerian hormone (AMH), progesterone (P4), and free and conjugated estradiol-17β (E2), were determined in 59 mares (3–24 years) at the time of OPU. …”
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Cultural dimensions of safe cities by Ćurčić Slađana

“…Namely, cultural differences determine the different functioning of states in many fields, so academic literature on urban security often investigates whether and in what way cultural variables reflect on the resilience of cities, urban planning, urban development, etc. …”
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Longitudinal path analysis of ecosystem water yield effects and its driving forces in the upper Yangtze River basin by Hongxiang Wang, Jiaqi Lan, Lintong Huang, Xuyang Jiao, Kaiang Zhao, Wenxian Guo

“…However, peak WY values in 2020 indicate a lag in the effects of these strategies on water supply. …”
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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The article shows that the use of the sinusoidal regression function makes it possible to identify the cyclicity of time series, which will help in assessing the dynamics of mudflows taking into account long-term changes in climate variables. …”
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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…The examination of the confusion matrix indicated a high predictive accuracy, with AUC values over 97% for both &#x201C;Occupancy Status&#x201D; and &#x201C;Vehicle Type.…”
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Predictors of Successful Memory Aging in Older Mexican Adults by Rosa Estela García-Chanes, Luis Miguel Gutiérrez-Robledo, Teresa Álvarez-Cisneros, Paloma Roa-Rojas

“…Nevertheless, for some individuals, memory performance stays within or above the normative values of younger subjects. This is known as successful memory aging and is associated with specific neurophysiological features and psychological and lifestyle-related variables. …”
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Chemometric-assisted UV spectrophotometric methods for determination of miconazole nitrate and lidocaine hydrochloride along with potential impurity and dosage from preservatives by Esraa S. Ashour, Ghada M. El-Sayed, Maha A. Hegazy, Nermine S. Ghoniem

“…The obtained results revealed that PLS algorithm was superior to PCR depending on the lowest root mean square error of prediction (RMSEP) and correlation coefficient values (r). The biPLS model, constructed with [3, 4, 5, 6, 8, and 9] subintervals, is considered the most efficient model with the lowest number of latent variables. biPLS is ideal for data analysis and enhancing model performance and robustness by focusing on the most relevant spectral regions. …”
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Spatial and temporal stationarity of the Laptev Sea polynyas by A. B. Timofeeva, A. V. Rubchenia, R. I. May

“…The study examines the seasonal and interannual variability of the location and area of flaw polynyas in the Laptev Sea. …”
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Impact of Dyslipidemia on Tear Film and Meibomian Gland Dysfunction: A Cross-Sectional Study of the Interplay between Serum Lipid Profile and Ocular Surface Health by José-Manuel Serrano-Morales, Noelia Álvarez-Santaliestra, María Carmen Sánchez-González, Antonio Ballesteros-Sánchez, José-María Sánchez-González

“…The relationship between serum lipid levels and DED was analyzed with the following variables: dry eye questionnaire-5 (DEQ-5), first (F-NIBUT) and average (A-NIBUT) noninvasive breakup time, tear meniscus height (TMH), lipid layer grade (LLG), conjunctival bulbar redness (CBR), and upper (U-LAMG) and lower (L-LAMG) loss area of meibomian glands. …”
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