A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

“…The proposed algorithm makes use of an arctan constraint in the cost function of the algorithm. This constraint enforces a zero attraction of the filter coefficients based on the relative value of each filter coefficient among all entries. …”
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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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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

“…However, taking lessons from spatial ecology, it is likely that spatial variability is the key, rather than the obstacle, to understanding the structure and function of soil biodiversity. …”
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Association between long-term visit-to-visit resting heart rate variability and cognitive decline: evidence from two national cohorts by Guangjun Zheng, Biying Zhou, Zhenger Fang, Xia Chen, Mingliang Liu, Fudong He, Haofeng Zhang, Guang Hao, Haidong Zhu, Yanbin Dong

“…Similar results were observed from several sensitivity analyses, including using average real variability and coefficient of variation for RHRV, additionally adjusted for physical activity, excluding participants who had heart problems at baseline, and further adjusting for the C-reactive protein in the CHARLS. …”
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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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A Versatile Distribution Based on the Incomplete Gamma Function: Characterization and Applications by Jimmy Reyes, Carolina Marchant, Karol I. Santoro, Yuri A. Iriarte

“…We analyze the probability density function and explore fundamental properties, including moments, skewness, and kurtosis coefficients. …”
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Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging? by Liana C L Portugal, Maria João Rosa, Anil Rao, Genna Bebko, Michele A Bertocci, Amanda K Hinze, Lisa Bonar, Jorge R C Almeida, Susan B Perlman, Amelia Versace, Claudiu Schirda, Michael Travis, Mary Kay Gill, Christine Demeter, Vaibhav A Diwadkar, Gary Ciuffetelli, Eric Rodriguez, Erika E Forbes, Jeffrey L Sunshine, Scott K Holland, Robert A Kowatch, Boris Birmaher, David Axelson, Sarah M Horwitz, Eugene L Arnold, Mary A Fristad, Eric A Youngstrom, Robert L Findling, Mirtes Pereira, Leticia Oliveira, Mary L Phillips, Janaina Mourao-Miranda

“…Medication was treated as a binary confounding variable. Decoded and actual clinical scores were compared using Pearson's correlation coefficient (r) and mean squared error (MSE) to evaluate the models. …”
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Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model by Bin Yuan, Hui Li, Xuewei Xiang, Hao Zhou

“…Motor efficient design is an important measure to reduce the energy consumption of servo motor system. …”
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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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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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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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Functional capacity: association with risk for falls, fear of falling and pain in the elderly by Alexandre de Andrade Nadu, Danila Cristina Paquier Sala, Carla de Lima Silva, Odete de Oliveira Monteiro, Paula Cristina Pereira da Costa, Meiry Fernanda Pinto Okuno

“…Spearman’s Correlation Coefficient was used to associate the continuous variables with the Fear of Falling Scale. …”
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Relationship between muscle strength and motor function in Duchenne muscular dystrophy by Milene F. Nunes, Michele E. Hukuda, Francis M. Favero, Acary B. Oliveira, Mariana C. Voos, Fátima A. Caromano

“…However, the relationship between these variables is controversial. Objective To investigate the relationship between muscle strength and motor function and between these variables and age. …”
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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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Correlation between neutrophil to lymphocyte ratio and early renal function level in elderly diabetic patients by SUN Ming-yu, GAO Po, ZHANG Shi-yang, HAN Yong-sheng

“…Logistic regression analysis was used to evaluate the effect of each confounding factor on eGFR using eGFR as an objective variable. Pearson’s correlation coefficients were used to test the associations between various variables and eGFR. …”
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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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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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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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