The functional status of the professional football players during functional testing procedure by Pavlichenko P.P.

“…The purpose of the investigation was the analysis of the functional status of professional football players during the special functional testing procedure (shuttle test). …”
Get full text

The functional status of the professional football players during functional testing procedure. by P. P. Pavlichenko

“…The purpose of the investigation was the analysis of the functional status of professional football players during the special functional testing procedure (shuttle test). …”
Get full text

Foreword to the special virtual issue on X-ray spectroscopy to understand functional materials: instrumentation, applications, data analysis by Elisa Borfecchia, Kirill A. Lomachenko, Kristina Kvashnina

“…Foreword to the virtual focused issue of Journal of Synchrotron Radiation on X-ray spectroscopy to understand functional materials: instrumentation, applications, data analysis.…”
Get full text

On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables by Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani

“…This study thus extends existing results on hazard rate estimation by addressing more complex dependence structures and by demonstrating the applicability of the methodology to real functional data, thereby contributing to both the theoretical development and empirical deployment of kernel-based methods in survival and labor market analysis.…”
Get full text

Use of Hazard Functions for Determining Power-Law Behaviour in Data by Joseph D. Bailey

“…Such truncated distributions, known as hazard functions, are widely studied and well understood in survival analysis, although rarely widely used in data analysis. …”
Get full text

Big Data in Neuroscience: Transforming Research and the Understanding of Brain Function by Adina DZIŢAC

“…Since the year 2000, artificial intelligence and machine learning have transformed neuroscience research and have revolutionized data analysis and made it possible for researchers to discover complex patterns in brain activity, relating this to neurological disorders and cognitive functions. …”
Get full text

Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer by Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai, Kenta Nakai

Get full text

Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…The correction factor is released as an open-source Python package, enabling more accurate analysis of scaling in gapped solar wind data sets.…”
Get full text

Discriminant analysis of Gaussian spatial data with exponential covariance structure by Kęstutis Dučinskas

Get full text

A Comparative Analysis of Machine Learning and Pedotransfer Functions Under Varying Data Availability in Two Greek Regions by Panagiotis Tziachris, Panagiota Louka, Eirini Metaxa, Miltiadis Iatrou, Konstantinos Tsiouplakis

Get full text

Non-parametric comparison of survival functions with censored data: A computational analysis of greedy and Monte Carlo approaches by Lubomír Štěpánek, Filip Habarta, Ivana Malá, Luboš Marek

Get full text

Relationship between 24-hour movement behaviors and executive function in preschool children based on compositional data analysis by Zhenya Chang, Ling Wang, Aifeng Zhu

“…EF was measured by a questionnaire (BRIEF-P), and compositional data analysis was employed. Results: (1) The relative time distribution among 24 h-MBs showed statistically significant associations with both EF and specific subdomains in preschool children (p < 0.05). (2) Moderate-to-Vigorous-intensity Physical Activity (MVPA) was significantly associated with inhibitory control (γ14 = −2.36, p = 0.002), working memory (γ14 = −2.78, p = 0.003), emotional control (γ14 = −1.30, p = 0.024), planning (γ14 = −1.83, p = 0.003), and EF (γ14 = −9.35, p = 0.003). (3) SB was significantly associated with working memory (γ12 = 3.99, p = 0.027) and EF (γ12 = 11.95, p = 0.047). (4) When MVPA was substituted for sleep, SB, and Light-intensity Physical Activity (LPA) for 15 min per day, there was a significant decrease in preschoolers' EF and many of its dimensions. …”
Get full text

A new results in the analysis of the multidimensional data: multidimensional-matrix polynomial regression analysis by V. S. Mukha

Subjects: “…analysis of the multidimensional data…”
Get full text

Functional characterisation of missense ceruloplasmin variants and real-world prevalence assessment of Aceruloplasminemia using population dataResearch in context by Nicole Ziliotto, Sara Lencioni, Martina Cirinciani, Alan Zanardi, Massimo Alessio, Giulia Soldà, Eleonora Da Pozzo, Rosanna Asselta, Andrea Caricasole

Get full text

Developing New Software for Functional Food Production by Elena Yu. Titorenko, Natalia B. Trofimova, Evgenia O. Ermolaeva, Ivan E. Trofimov, Leonid I. Breskin, Igor V. Surkov, Natalia V. Astakhova

“…Statistical methods of data processing and IT technologies make it possible to introduce new modern methods of hazard and risk analysis in food industry. …”
Get full text

Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction by Derya Dursun, Ali Çoşkun Dalgıç

Get full text

Bayesian Regression Analysis for Dependent Data with an Elliptical Shape by Yian Yu, Long Tang, Kang Ren, Zhonglue Chen, Shengdi Chen, Jianqing Shi

Get full text

Handling missing data in complex surveys: A case study of children’s functional disorders and their correlates by Mohyaldein Salih, Ali Satty, Henry Mwambi

Subjects: “…Missing data…”
Get full text

Reliability Analysis of ZZ Distribution Under Zero Failure Data by LEI Lu, ZHANG Guozhi, WANG Ping

Get full text

Approaches to analysis of higher mental function impairments by M. V. Karyakina, O. V. Rychkova

“…Thus, the neuropsychological analysis identifies not the loss of the mental function in general, but the impairment of it’s parts. …”
Get full text