Advanced Characterization of Vitreous Hyperreflective Dots via OCT-Derived Metrics: A Cross-Sectional Study by William Rojas-Carabali, Jinghan Lin, Paola Saboya-Galindo, Eunice Jin Hui Goh, Joewee Boon, Carlos Cifuentes-González, Rupesh Agrawal

“…In this study, our objective is to evaluate OCT’s ability to characterize vitreous hyperreflective dots (VHDs) across eyes with varying conditions, including healthy controls, vitreous degenerations, intraocular inflammation, and others. …”
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Comparative Analysis of the Physical, Tactical, Emotional, and Mood Characteristics of Under-13 Soccer Players by Performance Level by Aura D. Montenegro Bonilla, Sergio D. Rodríguez Pachón, Víctor Hernández-Beltrán, José M. Gamonales, Markel Rico-González, José Pino-Ortega, Jorge Olivares-Arancibia, Rodrigo Yánez-Sepúlveda, José Francisco López-Gil, Boryi A. Becerra Patiño

“…<b>Background and Objectives</b>: Soccer is a sport characterized by various unpredictable situations in which physical abilities are associated with athletic performance. …”
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Multifractal modeling of MPEG-4 video traffic by WANG Sheng-hui, QIU Zheng-ding

“…The correlation function and marginal distribution of multipliers at each layer were investigated in multifractal multiplicative process.Based on the lemmas gained,a new multifractal MPEG-4 video traffic model（PMFM,predict-able MFM）was proposed.By modeling the coarsest coefficients with the auto-regressive（AR） process,PMFM has the ability of traffic prediction that traditional MFM do not have.Furthermore,the model stability and robustness were also improved by changing the way of parameter estimation.…”
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The Structural Model of Happiness Based on Mindfulness with Mediator Role of Emotional Intelligence, Self-Compassion and Resilience by Mohammad Reza Tamannai far, Faezeh Taraffo

“…Pearson's correlation coefficient method and structural equation modeling were used to analyze the data. …”
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Human motor control during movements with high demands by Paul Kaufmann, Willi Koller, Elias Wallnöfer, Basilio Goncalves, Clara Scheer, Juliana Exel, Olivia Froschauer, Catherine Hlavac, Mathias Wiplinger, Lorenz Zweier, Arnold Baca, Hans Kainz

“…The trial-to-trial similarity of the activation coefficients was determined by the Pearson correlation coefficient (Figure 1A). …”
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Application of mental fitness tools in the prevention of stress-associated conditions of female students of higher education establishments by Olena Andrieieva, Nataliia Byshevets, Vitalii Kashuba, Liubomyr Pasichniak, Yuliia Lazakovych

“…It has been proven that despite its lower predictive ability compared to other developed models, it has such advantages as statistically significant coefficients (p < 0.05), the ability to predict whether a student is engaged in mental fitness with 88.2% accuracy using only data on well-being, retention high prognostic ability with a significant simplification of the model. …”
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Investigation of high school students’ social emotional learning skills and social media use by Harun Şahin, Meriç Eraslan, Muhammed Ali Özkan

“…Analytical techniques such as t-tests, ANOVA, and Pearson correlation coefficient were applied to analyze the collected data. …”
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THE EFFECT OF MUSIC PREFERENCE ON LEARNING OUTCOMES IN SOLFEGIO COURSES by Clemy Ikasari Ichwan, Dani Nur Saputra

“…Musical preferences can have an impact on musical abilities, one of which is solfegio. This study aims to determine the effect of music preference on learning outcomes of solfegio courses in music education study programs. …”
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Assessment of memory in patients with rheumatoid arthritis by Tomašević-Todorović Snežana, Bošković Ksenija, Filipović Danka, Naumović Nada

“…The average values of the memory coefficient were significantly lower in the group of patients with rheumatoid arthritis compared with the control group. …”
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Nonlinearly coded signals for harmonic imaging by Andrzej NOWICKI, Janusz WÓJCIK, Tamara KUJAWSKA

“…The numerical simulations of nonlinear fields in water and in tissue-like medium with absorption coefficient of 7Np/(m MHz) are performed. The comparison between the proposed method and the Pulse Inverse (PI) method is presented. …”
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Comparative Analysis of Verbal and Non-Verbal Mental Activity Components Regarding the Young People with Different Intellectual Levels by Y. M. Revenko, V. A. Salnikov

“…The teaching materials should stimulate different mental qualities by differentiating the educational process to develop students’ individual abilities.…”
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Enhancing teacher agentic learning in physics education: The impact of cognitively guided instruction on prospective teachers' cognitive engagement by Paul Nnanyereugo Iwuanyanwu

“…Thirty-eight prospective physics teachers participated in a three-week learning program with pre-test and post-test assessments measuring their knowledge of thermodynamics concepts, problem-solving abilities, and experimental data evaluation. The results showed a significant improvement in teacher agentic learning, reflected in their abilities to manage cognitive resources, solve cognitive tasks, and evaluate experimental data more effectively. …”
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RELIABILITY AND VALIDITY OF VARIOUS FORCE-TIME INDICATORS FOR THE ASSESSMENT OF FINGER AND SHOULDER GIRDLE STRENGTH IN CLIMBING by Michail Michailov, Jiří Baláš

“…The reliability of the finger fl exor RFD indicators was high (intrasession intraclass correlation coefficients - ICC between .760 and .973; intersession ICC between .883 and .955). …”
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Analysis on the potential of Pennisetum hydridum for phytoremediation of Cd-polluted soil fertilized by worm castings. by Xiafang Hong, Zhi Zhang, Zhiwei Wan

“…However, most plant species have limited remediation ability and cannot achieve good heavy metal removal effect. …”
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PSE-Based Aerodynamic Flow Transition Prediction Using Automated Unstructured CFD Integration by Nathaniel Hildebrand, Meelan M. Choudhari, Fei Li, Pedro Paredes, Balaji S. Venkatachari

“…Our method integrates the ability of FUN3D to compute mixed laminar–transitional–turbulent mean flows via transition-sensitized Reynolds-Averaged Navier–Stokes equations with the ability of LASTRAC to perform linear stability analysis, all within an automated framework that requires no intermediate user involvement. …”
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Predicting Residential Energy Consumption in South Africa Using Ensemble Models by David Attipoe, Donatien Koulla Moulla, Ernest Mnkandla, Alain Abran

“…In addition, we employed feature engineering methodologies to further enhance their predictive abilities. The accuracy of each ensemble model was evaluated by assessing various performance indicators, including the mean squared error (MSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and coefficient of determination R2. …”
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Self-efficacy and Career Adaptability in Early Career employees by Stephany G. Holderman, Sutarto Wijono

“…The research scale consists of the General Self-Efficacy Scale (α =0.932) and the Career Adapt-Abilities Scale (α= 0.969). The Spearman Rho correlation test obtained a coefficient value of 0.841 with p(Sig.) = 0.000 (p<0.01) shows that self-efficacy positively relates to career adaptability in early-career employees. …”
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THE LEVEL OF DEMONSTRATION OF VARIETY GENETIC POTENTIAL DEPENDING ON THE GROWING CONDITIONS by L. A. Radchenko, A. F. Radchenko

“…There have been determined the coefficient of regression (bi) and the index of stability (Si2) of the studied winter wheat varieties of the principal ecologic groups. …”
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Analisis Cluster untuk Pengelompokan Kemampuan Penguasaan ICT Menggunakan K-Means dan Autoencoder by Daru Prasetyawan, Rahmadhan Gatra

“…Therefore, grouping students' ICT skills is crucial to ensure that the training provided aligns with the fundamental abilities of the students. Cluster analysis is a common method for grouping data. …”
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Evaluation of the performance of ERA5, ERA5-Land and MERRA-2 reanalysis to estimate snow depth over a mountainous semi-arid region in Iran by Faezehsadat Majidi, Samaneh Sabetghadam, Maryam Gharaylou, Reza Rezaian

“…The evaluation was performed on both temporal and spatial scales, employing statistical indicators such as correlation coefficients, bias, and root mean square error (RMSE). …”
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