Changes in heart rate variability and hemodynamics of adolescents within the frontal cortex in response to face emotional stimulation. by Sung Ah Chung, Hyunchan Hwang, Hee Jin Kim, Ji Sun Hong, Sun Mi Kim, Doug Hyun Han

“…Moreover, this correction rate positively correlated with the differential accumulation of oxygenated hemoglobin (ΔaccHbO₂) in the left dorsolateral prefrontal cortex (DLPFC), suggesting increased cortical engagement during the processing of negatively perceived stimuli. …”
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The development and evaluation of a quality assessment framework for reuse of dietary intake data: an FNS-Cloud study by Laura A. Bardon, Laura A. Bardon, Laura A. Bardon, Grace Bennett, Grace Bennett, Grace Bennett, Michelle Weech, Michelle Weech, Faustina Hwang, Eve F. A. Kelly, Eve F. A. Kelly, Julie A. Lovegrove, Julie A. Lovegrove, Panče Panov, Siân Astley, Paul Finglas, Paul Finglas, Eileen R. Gibney, Eileen R. Gibney

“…A key aim of the FNS-Cloud project (grant agreement no. 863059) was to overcome fragmentation within food, nutrition and health data through development of tools and services facilitating matching and merging of data to promote increased reuse. …”
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Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression by Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

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Cognitive style of a future IT specialist in a teamwork process by N. V. Buzhinskaya, E. S. Vaseva, I. E. Shkabara

“…The used research methods: questionnaires, testing, the method of expert assessments, ranking, scaling, rationing, content analysis of documents, methods of mathematical statistics in data processing, methods of analysis, synthesis, generalisation, comparison, abstraction when interpreting research results. …”
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Investigation on Melting Process of Ice Cold-plate with Porous Material by Jiang Yulong, Zhang Sujun, Li Juxiang

“…Comparisons were made between the model predictions and experimental data. The influences of foams pore parameters to ice melting rates were confirmed. …”
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A Poisson Process AutoDecoder for X-Ray Sources by Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann

“…Previous work has either failed to directly capture the Poisson nature of the data or only focuses on Poisson rate function reconstruction. …”
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Prediction of Water Loss During Potato Vacuum Frying Process by Muhammad Dani Supardan, Satriana Satriana

“…In this study, a relationship between water losses with frying time during vacuum frying process of potato chips has been developed. A first order kinetic model was used, in which drying rate constant is a function of the main process variables, i.e. oil temperature, sample thickness and vacuum pressure. …”
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Study of the process of sublimation-dissociation of Ge3N4 by Irakli Nakhutsrishvili

“…The activation energies of the sublimation and dissociation processes were calculated from the temperature dependences of the sublimation rate and the dissociation rate constant. …”
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On the Reasons of the Seasonality of the Epidemic Process of Rotaviral, Noroviral and Enteroviral Infections by V. I. Sergevnin

“…The aim is to study of scientific literature data regarding the reasons for the seasonality of the epidemic process of RVI, NVI and EVI. …”
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Drying characteristics of zucchini and empirical modeling of its drying process by Naciye Kutlu, Asli Isci

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Maximum Trimmed Likelihood Estimation for Discrete Multivariate Vasicek Processes by Thomas M. Fullerton, Michael Pokojovy, Andrews T. Anum, Ebenezer Nkum

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Glomerular filtration rate dynamics in patients with diffuse large B-cell lymphoma during induction immunopolychemotherapy by A. S. Nozdricheva, I. B. Lysenko, N. K. Guskova, M. A. Konovalchik, A. A. Maslov, E. V. Shalashnaya

“…GFR was calculated using the SKD-epicre formula (chronic Kidney disease epidemiology collaboration creatinine-based). statistical data processing was carried out using the IBM SPSS statistics 23 program.   …”
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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…Considering the limitations of fixed thresholds and manual detection methods, which are difficult to adapt to the dynamic changes in time series data, this paper proposes an anomaly detection method based on peaks-over-threshold (POT) algorithm for multivariate statistical processes. …”
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Parametric evaluation and predictive modelling of formability in μ-SPIF process by Sahu Vijay Kumar, Das Purnendu, Adhikary Avishek, Bandyopadhyay Kaushik

“…Hence, detailed parametric study on the µ-SPIF process along with data driven models is need of the time to address formability in case of µ-SPIF. …”
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Birth-and-Death Processes in Python: The BirDePy Package by Sophie Hautphenne, Brendan Patch

“…Population-size-dependent BDPs (PSDBDPs) allow the rate at which a population grows to depend on the current population size. …”
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Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows by Alexander I. Legalov, Ivan V. Matkovskii, Mariya S. Ushakova, Darya S. Romanova

“…We give a preliminary parallelism assessment which depends on the ratio of the rates of data arrival and their processing. The proposed methods can be used in the development of the future languages and tool-kits of architecture-independent parallel programming.…”
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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…We outline the fundamental principles underlying each imputation technique and present a detailed analysis of their advantages and disadvantages, categorized by missing data patterns. To aid practitioners in method selection, we offer practical recommendations based on critical factors such as dataset size, data type, and missingness rate. …”
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Bridge Tower Warning Method Based on Improved Multi-Rate Fusion Under Strong Wind Action by Yan Shi, Yan Wang, Lu-Nan Wang, Wei-Nan Wang, Tao-Yuan Yang

“…An improved multi-rate data fusion method, validated using simulated datasets, was applied to correct monitoring data at bridge tower tops. …”
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The Modelling of Digital Twins Technology in the Construction Process of Prefabricated Buildings by Yun Zhou, Xiao Wei, Ying Peng

“…The study shows that the maximum value of the effective risk cases selected is 130, and its effective rate is 100%; after processing the data, it is found that the initial value is always stable, and its value is 1; the extracted value is always changing, the maximum value is 0.86, and the minimum is 0.75. …”
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Analyzing Archive Transit Multibeam Data for Nodule Occurrences by Mark E. Mussett, David F. Naar, David W. Caress, Tracey A. Conrad, Alastair G. C. Graham, Max Kaufmann, Marcia Maia

“…Additionally, utilizing software other than specialty sonar processing programs during this research allows an exploration of how multibeam data products could be interrogated by a broader range of scientists and data users. …”
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