Liver involvement in the process of acute respiratory infections in pediatric patients by Nune Baghdasaryan, Gohar Ayvazyan, Murad Grigoryan, Lilit Avetisyan, Olya Asatryan, Nane Mnatsakanyan, Anush Perikhanyan

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Identification and control of hydrothermal carbonisation process with energy consumption assessment by Riku-Pekka Nikula, Sajad Ahmadi, Velma Beri Kimbi Yaah, Hafiz Haq, Ville Tuomi, Mika Ruusunen

“…Simulations indicated also that strict temperature control settings (average standard deviation s = 1.24 °C at target temperature) increased specific energy consumption slightly (x¯ = 4.4%) when compared with control settings that allowed higher variance around a setpoint (s = 5.11 °C). However, the energy consumption was generally more dependent on the target temperature and processing time, which was also validated based on the measurements of 23 additional experiments. …”
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Wastewater Treatment Using a Photoelectrochemical Oxidation Process for the Coffee Processing Industry Optimization of Chemical Oxygen Demand (COD) Removal Using Response Surface M... by Firomsa Bidira Abdi, Zerihun Asmelash Samuel, Seifu Kebede Debela, Temesgen Abeto Amibo

“…The elimination of organic compounds in coffee processing effluent utilizing electrochemical oxidation (ECO) as well as a combination of electrochemical oxidation (ECO) and ultraviolet and hydrogen peroxide (UV/H2O2) was explored. …”
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The Effects of Various Thermal Processes on the Antioxidant Status of Sprats and Sardines by Aneta Kopeć, Joanna Skoczylas, Ewa Piątkowska, Teresa Leszczyńska, Ivo Doskocil

“…Steaming and baking are processes in which the antioxidant activity became higher.…”
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The Concentration of Iodine and Selenium in Fish Depends on the Type of Thermal Process by Aneta Kopeć, Joanna Skoczylas, Ewa Piątkowska, Teresa Leszczyńska, Sylwester Smoleń, Joanna Pitala, Ivo Doskocil

“…In both cases, the best thermal processes to protect from iodide (I^-) losses were cooking, steaming and baking. …”
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COVARIANCE MATRIX OF MULTIVARIATE REWARD PROCESSES WITH NONLINEAR REWARD FUNCTIONS

“…This result in particular provides an explicit formula for the variances of univariate reward processes. We also view ?…”
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A statistically predictive heat transfer rate model in a radiative magnetized hybrid nanofluid flow with dissipation over a sheet elongating exponentially: Combined RSM & ANOVA by Rupa Baithalu, S.R. Mishra, Subhajit Panda

“…The predictive model demonstrates several applications in various in industrial processes, including efficient thermal regulating systems utilizing magnetic and porosity. …”
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Storage and Ripening Monitoring of Pecorino Cheese Through 2D ¹H-NMR Relaxation and ANOVA Simultaneous Component Analysis (ASCA): A Comparison with DSC and ATR-FTIR Char... by Francesca Di Donato, Francesco Gabriele, Alessandra Biancolillo, Cinzia Casieri, Angelo Antonio D’Archivio, Nicoletta Spreti

“…In food processing, non-destructive and non-invasive characterization is a powerful tool for monitoring processes and controlling quality. …”
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Using independent component analysis to extract a cross-modality and individual-specific brain baseline pattern by Wei Liu, Xuemin Zhang

“…The ongoing brain activity serves as a baseline that supports both internal and external cognitive processes. However, its precise nature remains unclear. …”
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Analysis of some factors influencing the performance of college students: An example of Computer Science education by L. V. Gubina, T. V. Alekseeva, O. A. Strakhov

“…Diagnostics of motivation of college students in Moscow, Moscow region and the regions of Russia was conducted through the methods of testing, surveys and anonymous questioning. Processing of the obtained data was carried out by the methods of correlation, variance and regression analysis; the degree of statistical reliability of the results was evaluated by calculating the Student’s t-test and the Fisher’s F-test.Results and scientific novelty. …”
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Development and Training of a Neural Network Filter for Satellite Images Processing by N. Andriyanov, A. Kim

“…Experimental results showed that neural network models are able to outperform classical filters in terms of accuracy in processing real satellite images. Additionally, the paper studied the dependence of the filtering error variance on the number of training epochs of the neural network. …”
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Investigation of the processes of regional convergence and divergence in the development of the higher education system by S. V. Avilkina

“…Analysis of interregional variance for this parameter in different time periods showed the dependence of the variance value on the average value of indicators of all regions.Conclusion. …”
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A Reliability Generalization Meta-Analysis of the Antisocial Process Screening Device by Meng-Cheng Wang, Jiaxin Deng, Xintong Zhang, Jinghui Liang, Yiyun Shou

“…Although the Antisocial Process Screening Device (APSD) is one of the most widely used instruments for assessing psychopathic traits, the reliability estimates of the APSD show great heterogeneity across different studies. …”
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Sociodemographic markers of high Sensory Processing Sensitivity: a descriptive study by María-Luz Morales-Botello, Moisés Betancort, Manuela Pérez-Chacón, Rosa-María Rodríguez-Jiménez, Antonio Chacón

“…IntroductionSensory Processing Sensitivity (SPS) represents a personality trait characterised by heightened responsiveness to environmental stimuli, which can lead to both beneficial and adverse outcomes. …”
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Large errors in soil carbon measurements attributed to inconsistent sample processing by R. J. Even, M. B. Machmuller, M. B. Machmuller, J. M. Lavallee, J. M. Lavallee, T. J. Zelikova, T. J. Zelikova, M. F. Cotrufo, M. F. Cotrufo

“…A finer grind generally resulted in a lower coefficient of variance, where the finest grind to <span class="inline-formula">&lt;</span> 125 <span class="inline-formula">µ</span>m had the lowest coefficient of variance, followed by the <span class="inline-formula">&lt;</span> 250 <span class="inline-formula">µ</span>m grind and, lastly, the <span class="inline-formula">&lt;</span> 2000 <span class="inline-formula">µ</span>m grind. …”
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Stable Gaussian process tracking control of antagonistic variable stiffness actuators by Zhigang Zou, Wei Li, Chenguang Yang, Yongping Pan

“…This study applies Gaussian process (GP) regression to design a stable tracking controller combining feedforward and low-gain feedback control actions for agonistic-antagonistic (AA) VSAs subjected to unknown dynamics. …”
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COVID-19 Anxiety and Rumination in University Students in The COVID-19 Process by Binaz Bozkur, Mustafa Güler

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Lower Tropospheric Processes: A Control on the Global Mean Precipitation Rate by Jacob M. Hendrickson, Christopher R. Terai, Michael S. Pritchard, Peter M. Caldwell

“…These results highlight how lower‐tropospheric processes must be better constrained to reduce the precipitation discrepancy among climate models.…”
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Degradation Modeling Based on Wiener Process Considering Multi-Source Heterogeneity by Meng Xiao, Youpeng Zhang, Yongjian Li, Wenxian Wang

“…Current studies have not considered the multiple sources of heterogeneity simultaneously, and consequently, have failed to capture the actual degradation process. To explain and quantify the combined effect of multi-source heterogeneity, we present a random effects Wiener process model with heteroscedastic measurement errors, where the parameters of the drift, diffusion, and error variance are assumed as random variables following a certain distribution. …”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

“…Without efficient pre-processing methods, unreliable results will achieve. …”
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