Effectiveness of two different recovery process on blood lactate removal pattern of soccer players by Rupali Katoch, SM Farooque, Krishnendu Dhar, Prasanta Kumar Das

“…This study aimed to examine the effect of two different recovery processes on the blood lactate removal pattern of soccer players in Tripura. …”
Get full text

The Role of Freeze-Drying as a Multifunctional Process in Improving the Properties of Hydrogels for Medical Use by Kacper Odziomek, Anna K. Drabczyk, Paulina Kościelniak, Patryk Konieczny, Mateusz Barczewski, Katarzyna Bialik-Wąs

Get full text

Collaborative manufacturing in the steelmaking–continuous casting section using intelligent technologies by Qing LIU, Mo LAN, Zicheng XIN, Jiangshan ZHANG

“…First, process control models for the converter, refining, and continuous casting processes were developed at the process/device level. …”
Get full text

Research on the Influence of the Defects of Materials on Thermal Runaway in Microwave Hybrid Heating for Sintering Processes by Sorin Vasile Savu, Daniela Tarniță, Iulian Stefan, Gabriel Constantin Benga, Ionel Danut Savu, Nicușor-Alin Sîrbu, Ilie Dumitru, Marin Andretti Ciungu, Mihai Ursu, Cristian Cosma

“…Modeling and simulation of temperature distributions alongside defects created by the compaction process are performed in order to evaluate their influence on the stability of MHH. …”
Get full text

Who participates in 'participatory design' of WASH infrastructure: A mixed-methods process evaluation. by Thea L Mink, Allison P Salinger, Naomi Francis, Becky Batagol, Kerrie Burge, Noor Ilhamsyah, Losalini Malumu, Liza Marzaman, Michaela F Prescott, Nur Intan Putri, Sheela S Sinharoy

“…We used logistic regression models to assess socio-demographic predictors of participation and satisfaction. …”
Get full text

Characterizing dynamical processes in surface-bound exospheres via resolved sodium D emissions by Patrick Lierle, Emma Lovett, Carl Schmidt, Aimee Merkel

“…In fact, discrepancy between these quantities can actually reveal additional processes and the breakdown of implicit assumptions. …”
Get full text

Eating distractions as predictors of ultra-processed food consumption and Mediterranean diet adherence in adolescents by José Francisco López-Gil, Fiorella Quiroz-Cárdenas, José Adrián Montenegro-Espinosa, Emily Cisneros-Vásquez, Camila Miño, Mónica Elizabeth Castillo-Miñaca, Rubén Alejandro Unda-López, Lina América Sánchez-Charcopa, María Paula Zalamea-Delgado, Martina Jared Masache-Cruz, David Alejandro Palacios-Zavala, Mateo Alejandro Barriga-Collantes, Héctor Gutiérrez-Espinoza, Jorge Olivares-Arancibia, Rodrigo Yañéz-Sepúlveda, Carlos Hermosa-Bosano

“…The associations of eating distractions with UPF consumption and MedDiet adherence were analyzed via generalized linear models. The models were adjusted for sex, age, socioeconomic status, body mass index, physical activity, sedentary behavior, and sleep duration. …”
Get full text

Avaliação da sinergia entre a engenharia de processos e o processo de pensamento da teoria das restrições Evaluating the synergy of business process engineering and theory of const... by Daniel Pacheco Lacerda, Luis Henrique Rodrigues, Alexandre Costa da Silva

“…Business Process Engineering has been used as a process modeling tool in order to describe the "as is" situation. …”
Get full text

Applying kinetic models to the study of the influence of wood contact surface area/volume ratio on the ageing of Brandy de Jerez by Rocío Trillo-Ollero, Luis M. Trillo-Gutiérrez, M. Valme García-Moreno, M. Carmen Rodríguez-Dodero, Dominico A. Guillén-Sánchez

“…Regarding the diffusion models, the results were better fitted to the parabolic model, which suggests that during the ageing of the spirit a number of parallel reactions take place that affect the values actually reached by the parameters considered in our study. …”
Get full text

Modeling of chronic ovary inflammation by N. А. Volkova, M. S. Yuhta, Т. А. Yurchuk, L. V. Stepanuk, E. D. Ivanova, E. V. Pavlovich

“…Further, the leukocyte level was not statistically changed (P<0,05), but did not reach values of intact animals (P<0,05), indicating the reduction of the inflammatory process severity. …”
Get full text

Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

“…The leaching process conforms to the model of unreacted contraction core model under mixed control, the activation energy is 71.76 kJ/mol, and the macroscopic kinetic equation in terms of stirring rate, oxygen partial pressure and ultrasonic power is 1-(1-X)1/3-1/3ln(1-X) = 40.457P02 0.071r0.903 e(-8630.19/T)t.…”
Get full text

Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

“…Unsupervised learning models lack sample labeling, making qualitative evaluation infeasible. …”
Get full text

Research on Corrosion Fatigue Performance and Multiple Fatigue Sources Fracture Process of Corroded Steel Wires by Ying Wang, Yuqian Zheng

“…Firstly, the cellular automata (CA) method was used to generate a numerical model of corroded steel wires with corrosion pit, which can accurately describe the electrochemical process of metal corrosion. …”
Get full text

Evaluation of Particle Size and Friction Coefficients in Sintered Metal Process Development by Discrete Element Simulation by Naoki Yashiro, Natsuko Sugimura, Hitoshi Washizu

“…First, the difference between the experimental and simulated values of the apparent density (simulation error) depends on the particle size, and in this case, the minimum level (＜10%) was reached when the particle size was 300-500 μm. In addition, the simulation with a 500 μm particle size model were found to yield an equivalent simulation accuracy in 1/5 the computation time of the 300 μm model. …”
Get full text

Detection of Small-Sized Electronics Endangering Facilities Involved in Recycling Processes Using Deep Learning by Zizhen Liu, Shunki Kasugaya, Nozomu Mishima

“…The results show that the model’s average precision value reached 0.996. Then, the target was expanded to three categories of fire-causing items, including mobile batteries, heated tobacco (electronic cigarettes), and smartphones. …”
Get full text

Radioactive geophysical processing and spatial anomalies analysis based on adaptive weighting fusion and multifractal SVM by Wenjie Lv, Pei Huang, Yaxin Yang, Jun Ning, Xiao Huang, Honglong Yu, Tara P. Banjade, Qibin Luo

“…Finally, the concentration-area (C-A) multifractal model was used to classify the supervised learning labels, 70% of the sampling point data were selected as the training data, and the SVM was executed to predict the favorable prospecting target area, and the prediction accuracy reached 82.7%. …”
Get full text

Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process by Yixuan Xie, Zhiqiang Liu, Yinqi Li, Yueyue Zong

“…Considering that temperature instability on the layup surface can lead to defects, a dynamic temperature control model has been established, and the infrared lamp’s temperature rise coefficient is determined, reducing defects caused by temperature fluctuations during the layup process. …”
Get full text

Experimental study and Numerical simulation of stress concentration in deep drawing process without blank holder by Ayman Abd-Eltwab, almoataz Gomaa, Eman Mohamed, hammad Elmetwally

“…Deep drawing without blank holder is an important process for producing circular cups which used in many applications. …”
Get full text

STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

“…However, training spatiotemporal models based on big data is time-consuming, and the traditional physical models and static objects used in existing geographic data analysis software have limitations in mining efficiency and simulation accuracy for dynamic spatiotemporal processes. …”
Get full text

Design and Simulation of an Integrated Process for the Co-Production of Power, Hydrogen, and DME by Using an Electrolyzer’s System by Asmae Abousalmia, Seckin Karagoz

“…Aspen HYSYS was used to model and simulate the process, and heat/mass integration strategies were implemented to reduce energy demand and optimize resource utilization. …”
Get full text