Pomegranate Peel as a Sustainable Additive for Baijiu Fermentation: Physicochemical and Flavor Analysis with Process Optimization by Longwen Wang, Guida Zhu, Na Li, Zhiheng Wang, Yi Ji, Chen Shen, Jing Yu, Ping Song

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New constitutive model and hot processing map for A100 steel based on high-temperature flow behavior by Chaoyuan Sun, Yi Qin, Yang Liu, Guiqian Xiao, Jie Zhou, Jiansheng Zhang

“…To predict the flow behavior and identify the optimal hot processing window for A100 steel, a constitutive model and a hot processing map were established using true stress-strain data extracted from isothermal compression tests performed at temperatures ranging from 1073 to 1353 K and strain rates varying between 0.01 and 10 s−1. …”
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Determination and validation of design space for mesenchymal stem cell cultivation processes using prediction intervals by Keita Hirono, Yusuke Hayashi, Isuru A. Udugama, Mohamed Rami Gaddem, Kenjiro Tanaka, Yuto Takemoto, Ryuji Kato, Masahiro Kino-oka, Hirokazu Sugiyama

“…A kinetic model used in previous work was employed; part of the experimental data was used to re-estimate the maximum specific growth rate in the kinetic model and then calculate the prediction intervals of this parameter. …”
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Evaluation of novel candidate variations and their interactions related to bipolar disorders: Analysis of GWAS data by Acikel C, Aydin Son Y, Celik C, Gul H

“…Methods: This study was performed on Whole-Genome Association Study of Bipolar Disorder (dbGaP [database of Genotypes and Phenotypes] study accession number: phs000017.v3.p1) data. After preprocessing of the genotyping data, three classification-based data mining methods (ie, random forest, naïve Bayes, and k-nearest neighbor) were performed. …”
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Physics-Informed Neural Network for monitoring the sulfate ion adsorption process using particle filter by WANCLEY O. PEDRUZZI, CARLOS EDUARDO R. DALLA, WELLINGTON B. DA SILVA, DAMARIS GUIMARÃES, VERSIANE A. LEÃO, JULIO CESAR S. DUTRA

“…The effectiveness of this approach is compared with finite-volume methods and experimental data. We also couple the PINN with a sampling importance resampling particle filter, a Bayesian technique that allows the filter and estimate states of the process, quantifying uncertainties of experimental measurements. …”
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Development of a Problem-Based Physics Teaching Module to Enhance Students’ Science Process Skills by Rabiatul Hasanah, Gunawan Gunawan, Muntari Muntari, Joni Rokhmat, Ahmad Harjono

“…Effectiveness results indicated that the module was moderately effective in improving science process skills, with an N-Gain score of 0.65 (medium category) and an effectiveness rate of 65.71%. …”
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An Investigation of Channeling Identification for the Thermal Recovery Process of Horizontal Wells in Offshore Heavy Oil Reservoirs by Renfeng Yang, Taichao Wang, Lijun Zhang, Yabin Feng, Huiqing Liu, Xiaohu Dong, Wei Zheng

“…Thereafter, the seepage resistance could be analyzed quantitatively by the slope of the linear relationship during the steam injection process. Simultaneously, a channeling identification chart could be obtained based on the data of injection–production performance, dividing the steam flooding process into three different stages, including the energy recharge zone, interference zone, and channeling zone. …”
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Influence of geometrical parameters of dental implants on secondary stability and osseointegration process depending on the type of bone by R. V. Studenikin, A. V. Sushchenko, A. A. Mamedov

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A Hybrid Deep Learning Approach for Secure Biometric Authentication Using Fingerprint Data by Abdulrahman Hussian, Foud Murshed, Mohammed Nasser Alandoli, Ghalib Aljafari

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Vision Based Process Control Approach for Managing Chemical Foam Breakdown in a Lab Environment by Toon Stuyck, Pascal Van Lith, Eric Demeester

“…Vision based process control is an approach that utilizes machine vision systems to monitor and analyze real-time visual data, enabling automated adjustments to enhance efficiency in production processes. …”
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Effect of impaired myocardial contractility on coronary flow reserve and inflammatory processes in chronic coronary syndrome by V. K. Tashchuk, R. A. Bota

“…Diagnostic methods included clinical and instrumental examination data, analyses of lipid profile, inflammation biomarkers, endothelial functional state, hemogram data, leukocyte inflammation markers, and questionnaires. …”
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Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China by Ningjing Yang, Yuning Wang, Ying Li, Dongying Xiao, Ruirui Cui, Nana Li, Rong Liu, Jing Chai, Xingrong Shen, Debin Wang

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Application and Exploration of Biosensors for Cancer Liquid Biopsy and Artificial Intelligence-Assisted Data Analysis by Zhang Tongrui

“…Therefore, it is necessary to combine high- sensitivity detection technology with intelligent data processing methods to improve its accuracy and clinical application value. …”
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Effect of 3-hydrazinylquinoxaline-2-thiol hydrogel on skin wound healing process in diabetic rats by Jehan Barakat Alamre, Huda Alkreathy, Ahmed S. Ali, Abdelbagi Alfadil, Sahar S. Alghamdi

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The Epidemic Process of Measles with Different Strategies of Vaccination in a Large Industrial Center of the Middle Urals by A. A. Golubkova, T. A. Platonova, S. S. Smirnova, S. A. Kovyazina

“…The authors used the data of statistical reports on measles incidence in Yekaterinburg in 1950–2017 as the study materials. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. …”
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Anisotropic frost heaving coefficient of saturated permafrost considering moisture migration process based on standards by Hui GE, Chunxiang GUO, Lei ZHANG

“…This study, referencing the standard process of ice content variation in soils during freezing, takes into account factors such as Poisson’s ratio, groundwater table depth, and cooling rate. the calculation methods for the frost heave coefficients in the horizontal and vertical directions during the freezing process of positive permafrost were derived. …”
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KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes by Zhongyuan Che, Chong Peng, Jikun Wang, Rui Zhang, Chi Wang, Xinyu Sun

“…Tool wear modeling in CNC turning processes is critical for proactive maintenance and process optimization in intelligent manufacturing. …”
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A Multipopulation Firefly Algorithm for Correlated Data Routing in Underwater Wireless Sensor Networks by Ming Xu, Guangzhong Liu

“…We design three kinds of fireflies and their coordination rules in order to improve the adaptability of building, selecting, and optimization of routing path considering the data correlation and their sampling rate in various sensor nodes. …”
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Characteristics of the epidemic process of Lyme borreliosis in the Sverdlovsk district over a 20-year period by N. M. Kolyasnikova, L. G. Chistyakova, A. V. Ponomareva, A. E. Platonov, V. V. Romanenko, T. A. Chekanova, A. V. Titkov, A. A. Ishmukhametov, V. G. Akimkin

“…To characterize the epidemic process of LB in the territory of the Sverdlovsk district over a 20-year period (2002–2021).Materials and methods. …”
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