Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition by Haichuan Zhang, Fangling Zeng

“…Although beamforming-based GNSS system possesses the ability of nulling interference sources, the distortions to satellite signal induced by impulsive noises are always neglected. …”
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Modelling hedonic residential rents for land use and transport simulation while considering spatial effects by Michael Löchl, Kay W. Axhausen

“…The latter technique performed best with regard to model fit, but the issue of correlated coefficients favored a spatial simultaneous autoregressive model. …”
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Liquid-Liquid Equilibrium of Poly(Ethylene Glycol) 6000 + Sodium Succinate + Water System at Different Temperatures by Selvaraj Raja, Vytla Ramachandra Murty

“…The effect of temperature on the phase-forming ability has been studied by fitting the binodal data to a Setschenow-type equation for each temperature. …”
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Intertemporal Asset Pricing: Preliminary Evidence from an Emerging Economy by Amna Rehman, Nawazish Mirza

“…We evaluate the model’s ability to account for returns on portfolios sorted by size, book-tomarket ratio, and momentum. …”
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Divide-and-conquer routing for learning heterogeneous individualized capsules. by Hailei Yuan, Qiang Ren

“…Capsule Networks (CapsNets) have demonstrated an enhanced ability to capture spatial relationships and preserve hierarchical feature representations compared to Convolutional Neural Networks (CNNs). …”
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How ELT Teacher Trainees Formulate Aims by Iva Koutská, Petra Peldová

“…tating an aim is a vital skill for planning effective teaching Nonetheless, it is a skill one has to develop consciously Teacher trainees learn how to formulate aims during their teacher training and validate their aim design in their teaching practice Yet, they face several problems when stating an aim The thematic analysis of aims written by English language teaching (ELT) bachelor and master teacher trainees at the Technical University of Liberec is used to define clusters of aspects that their aim designs consist of The thematic analysis is followed by subsequent Spearman’s correlation coefficients’ statistics and Excel computations to analyse the frequency of those aspects in order to compare ELT bachelor and master teacher trainees’ aim designs and the potential impact of teaching experience on the ability to design an aim These results are contrasted to a preferable aim design description according to the theory The study results show that the aspects the respondents struggle with most are concreteness and student-orientedness, i.e. their aims are stated in vague language and are teacher-centred.…”
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Analytical Modelling and Verification of Bus-Clamping Modulation Technique for Switched-Capacitor Converter by Amarnath Yalavarthi, Akbar Ahmad

“…Bus-clamped pulse width modulation classified in space vector techniques has the ability to reduce the switching losses of the converter and has reduced harmonic distortion. …”
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Assessing hand motor function in chronic immune-mediated neuropathies: a proof-of-concept study using a data glove by Elisa Gilliam, Pascal Achenbach, Gernot J. Suemmermann, Manuel N. Wessely, Peter Rossmanith, Maike F. Dohrn, Jörg B. Schulz, Anne Waschbisch, Robert Brunkhorst

“…Results We found good to excellent test–retest reliability for the ROM in all glove movement patterns (Intraclass correlation coefficients = 0.83–0.94), underlining the ability to capture clinical stability. …”
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An Exploratory Study on the Correlation Between Reactive Agility and Downhill Trail Running Performance in Amateur Trail Runners by Juan Pablo García Muñoz, Francisco García-Muro San José, Ángel Luis Rodríguez Fernández, Ella Jayne Neale, Arturo Pérez Gosálvez

“…The correlations found in the tests suggest that reactive agility skills and acceleration abilities have a significant relationship with performance on downhill sections in trail running.…”
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"Classroom Climate" Standardization Methodology in the Republic of Belarus by N.B. Shumakova, Y.P. Kosheleva, N.V. Kozyreva

“…The Cronbach's alpha coefficient confirms the internal consistency of the scales, with their mutual correlations being at a moderate level. …”
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Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO2) based on metaheuristic optimization algorithms and machine learning techniques by Hamed Shokrnia, Ashkan KhodabandehLou, Peyman Hamidi, Fedra Ashrafzadeh

“…The sensitivity assessment approves that the training and generalization abilities of the ELM and ANFIS models for the CS prediction of FRC are improved by their integration with the GWO algorithm. …”
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Comparative Modeling and Prediction of the Mechanical Strength of Chemically Modified Bamboo Fibers Using Artificial Neural Networks and Response Surface Methodology by Mamookho Elizabeth Makhatha, Patrick Ehi Imoisili, Sebetlela Letlhabula, Tien-Chien Jen

“…The treatment variables significantly affect the TS of BmF as indicated by the analysis of variance (ANOVA), which reveals the statistical significance of the model at a level of p < .0001. The calculated coefficients of R2 (correlation coefficient), RMSE (root mean square error), and MAE (mean absolute error) for each output parameter were used to compare the prediction abilities of the ANN and RSM. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…Model fit statistics, including coefficient of determination (R2), adjusted R2, root of mean square error (RMSE), mean absolute percentage error (MAPE), standard deviation ratio (SD ratio), Mean Absolution Error (MAE) and Relative Absolution Error (RAE), were used to evaluate the prediction abilities of the fitted models. …”
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The multiscale brain structural re-organization that occurs from childhood to adolescence correlates with cortical morphology maturation and functional specialization. by Yirong He, Debin Zeng, Qiongling Li, Lei Chu, Xiaoxi Dong, Xinyuan Liang, Lianglong Sun, Xuhong Liao, Tengda Zhao, Xiaodan Chen, Tianyuan Lei, Weiwei Men, Yanpei Wang, Daoyang Wang, Mingming Hu, Zhiying Pan, Haibo Zhang, Ningyu Liu, Shuping Tan, Jia-Hong Gao, Shaozheng Qin, Sha Tao, Qi Dong, Yong He, Shuyu Li

“…Furthermore, the developmental changes in coupling between multiscale structural and functional connectivity were correlated with functional specialization refinement, as evidenced by changes in the participation coefficient. Notably, the differentiation of the principal multiscale structural gradient was associated with improved cognitive abilities, such as enhanced working memory and attention performance, and potentially underpinned by synaptic and hormone-related biological processes. …”
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Korean Version of the Confidence of Arm and Hand Movement Scale and Its Psychometric Properties by Hanna Kim, Yeajin Ham, Joon-Ho Shin

“…Participants with sufficient cognitive and verbal abilities were included, while those with severe comorbidities were excluded. …”
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Development and validation of a predictive nomogram for surgical site infection among general surgery patients in Amhara region Ethiopia by Kebadnew Mulatu Mihretie, Meron Alemayehu Asmamaw, Zelalem Alamrew Anteneh

“…The bootstrapped model produced consistent β coefficients, supporting the stability and robustness of the model. …”
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Assessment of motor skills associations with executive functioning in children of senior preschool age by T.V. Zhilyaeva, E.M. Tolstobrova, O.M. Silantyeva, U.A. Nasonova, I.V. Brak, V.Yu. Borisov, Yu.M. Taraday, A.M. Borisova

“…</strong>This experimental study is designed to determine the strength and direction of associations between EF components (planning ability, working memory, inhibitory control) and various motor skills (gross and fine motor skills) in older preschool children. …”
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Slope deformation prediction based on GA–BP neural networks by Wenhui TAN, Kai LI, Huimin LIU, Meifeng CAI, Qifeng GUO

“…In addition, the GA–BP model reduces the average prediction error at remaining monitoring points by >50% compared to the BP model. Its regression coefficients across the three datasets outperform those of the BP model, demonstrating superior generalization ability. …”
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Glucose enzymes reaction in a spherical matrix using HPM and HFM by M. Suguna, K. Saranya, Shafiullah Niazai, Sultan Alshehery, Ilyas Khan, A. F. Aljohani

“…It includes a numerical analysis of factors influencing gluconic acid concentration, such as diffusion coefficients, reaction kinetics, and membrane properties. …”
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Effect of Friction Model and Tire Maneuvering on Tire-Pavement Contact Stress by Haichao Zhou, Guolin Wang, Yangmin Ding, Jian Yang, Chen Liang, Jing Fu

“…An exponential decay friction model that considers the effect of sliding velocity on friction coefficients was adopted for analyzing braking performance. …”
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