Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Ruiqin Tian, Ying Lu

“…This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional covariate. …”
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Radiographic and Functional Results following Subtalar Arthroereisis in Pediatric Flexible Flatfoot by David Ruiz-Picazo, Plácido Jiménez-Ortega, Francisco Doñate-Pérez, Natalia Gaspar-Aparicio, Victor García-Martín, José Ramírez-Villaescusa, Sergio Losa-Palacios

“…Two expert surgeons from the Pediatric Orthopedics Unit took separate measurements of these angles for subsequent analysis purposes and to obtain the interobserver correlation coefficient for quantitative variables. Pre- and postoperative differences in the measurement of angles were ascertained using Student’s t-test for paired samples; and a functional evaluation of the patients intervened was carried out pre- and postoperatively by administering the parent version of the Oxford Ankle Foot Questionnaire for Children (OxAFQ-C) during a clinical interview. …”
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On the Growth Order and Growth Type of Entire Functions of Several Complex Matrices by M. Abul-Ez, H. Abd-Elmageed, M. Hidan, M. Abdalla

“…In this paper, we establish an explicit relation between the growth of the maximum modulus and the Taylor coefficients of entire functions in several complex matrix variables (FSCMVs) in hyperspherical regions. …”
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Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model by Zelin Hang, Xiuli He

“…This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model. …”
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Production components of corn as function of seed distribution along the planting row by Flavio H. da Silva, Paulo C. R. da Cunha, André C. de S. Almeida, Lucas da S. Araújo, Adriano Jakelaitis, Pedro M. da Silveira

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Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

“…Furthermore, the research conducted principal component analysis (PCA) and membership function analysis on the predicted values of the optimal models for each indicator, established a comprehensive evaluation index for high photosynthetic efficiency, and employed cluster analysis to screen the test materials. …”
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Analysis of entropy generation in tri-hybrid nanofluid flow towards a spinning disk under the influence of hall effect and variable viscosity by Moh Yaseen, Ritu Bartwal, Anum Shafiq, Sawan Kumar Rawat, Qasem M. Al-Mdallal, Umesh Khanduri, Tabassum Naz Sindhu

“…This paper examines the combined effects of Hall effect, thermal radiation and variable viscosity on the unsteady flow near a stagnation point over a rotating disk. …”
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A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

“…However, since ON/OFF of the switch is determined through model-based cost function comparison, the switching frequency is variable and a separate modulator is not used. …”
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Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

“…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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SYNTHESIS METHODS OF ALGEBRAIC NORMAL FORM OF MANY-VALUED LOGIC FUNCTIONS by A. V. Sokolov, O. N. Zhdanov, O. A. Ayvazian

“…We propose the hypothesis, which determines the rules of the synthesis of these matrices for the transformation from the truth table to the coefficients of the algebraic normal form and the inverse transform for any given number of variables of 3-functions or 5-functions. …”
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Fuzzy Logic Technique Based on Classification Function Application in Quality Control by Salman Hussien Omran, Salam Waley Shneen, Batool Ibrahim Jameel, Omar Hassoon, Mohammed A. Fayad, Firas Basim Ismail

“…Fuzzy control charts were used to quickly and accurately identify the production specifications and efficiency. This work uses the triangle membership function to generate fuzzy numbers, which are then transformed into quality control charts for the real data obtained using the proposed ranking function. …”
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Sexual Function and Quality of Life in Iranian Women With Human Papillomavirus Infection by Afsaneh Tehranian, Marzieh Vahid Dastjerdi, Sare Hatamian, Akram Ghahghaei-Nezamabadi

“…Variables were analysed via correlation coefficient and linear regression tests. …”
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Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

“…Through comprehensive numerical analysis, In Type-1 IVPFTP the cost dropped from 5.19 to 0.675, for Type-2 IVPFTP cost dropped from 0.2615 to 0.001869 and for Type-3 IVPFTP cost dropped from0.17435 to 0.0013879.Thereafter, it was observed that the proposed score function provides a more optimal transportation cost.Also, our findings demonstrate the significant cost reductions and improved decision-making capabilities across different types of IVPFTP models to highlight the efficiency of the proposed score function in handling uncertainty within the transportation problems.…”
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Structural Analysis of Multi-Core Processor and Reliability Evaluation Model by Sergo Tsiramua, Hamlet Meladze, Tinatin Davitashvili, Jose-Maria Sanchez-Sáez, Francisco Criado-Aldeanueva

“…In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. …”
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Canal Geometry, Flow Velocity, Dallisgrass (Paspalum dilatatum Poir.) Density and Soil Phosphorous Effects on Hydraulic Resistance of Vegetated Canals by Abolfazl Nasserı

“…Therefore, a regression model comprises both the roughness coefficient as a dependent variable and the flow velocity and canal slope as an independent variable is developed. …”
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Increased variability in response to transcranial direct current stimulation in healthy older compared to young adults: A systematic review and meta-analysis by Anna Elisabeth Fromm, Catalina Trujillo-Llano, Ulrike Grittner, Marcus Meinzer, Agnes Flöel, Daria Antonenko

“…Across 19 studies comprising 390 older adults (mean ± SD age: 67 ± 5 years) and 384 young adults (mean ± SD age: 24 ± 3 years) receiving transcranial direct current (tDCS), we quantified behavioral variability using the log-transformed coefficient of variation ratio (lnCVR). …”
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Long-term mean climate and seasonal variability drive spatial patterns of forage production fluctuation trends across California annual grasslands by Zheng Li, Leslie M Roche, Steven Ostoja, Yufang Jin

“…Forage production is integral to the ecological and economic functions of rangeland ecosystems worldwide and is characteristically highly variable. …”
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Productive wetlands restored for carbon sequestration quickly become net CO2 sinks with site-level factors driving uptake variability. by Alex C Valach, Kuno Kasak, Kyle S Hemes, Tyler L Anthony, Iryna Dronova, Sophie Taddeo, Whendee L Silver, Daphne Szutu, Joseph Verfaillie, Dennis D Baldocchi

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Differential Transform Algorithm for Functional Differential Equations with Time-Dependent Delays by Josef Rebenda, Zuzana Pátíková

“…We focus on retarded equations with delays which in general are functions of the independent variable. The delayed differential equation is turned into an ordinary differential equation using the method of steps. …”
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MScope: A Reliable Battery for Functional Status Assessment in Multiple Sclerosis by Daniel Lisardo, Susana López-Ortiz, Irati Jauregui-Fajardo, José Pinto-Fraga, Celia García-Chico, Alba Chavarría-Miranda, Nieves Téllez, Sergio Maroto-Izquierdo

“…Neuromuscular assessments showed strong reliability with minor day-to-day variability (ICC = 0.75–0.95, CV < 8%). The battery’s overall consistency supports its use as a reliable tool for assessing functional status in MS patients.…”
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