Modeling and optimization of methanol production from Ghanaian biomass wastes using Aspen Plus by Marcellanous Baffour Kwakye Ellonye, Herbert Fiifi Ansah, Prosper Abewini Atuase, Clement Akornor, Ezekiel Sam

“… This study explores the possibility of producing methanol from Ghanaian agricultural waste biomass, such as rice husk, sawdust, and cocoa pod husk, by employing Aspen Plus simulation and response surface methodology (RSM) as optimization methods. The process is modeled in Aspen Plus using the RPlug reactor model to simulate the reaction kinetics and optimize production factors. …”
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Applying an optimized low risk model for fast history matching in giant oil reservoir by Mojtaba karimi, Ali Mortazavi, Mohammad Ahmadi

“…Finally, the process was optimized by two main algorithms for reaching best solutions which are genetic and particle swarm optimization. …”
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Model Predictive Control Strategies Performance Evaluation over a Pipeline Transportation System by Jorge Cardenas-Cabrera, Luis Diaz-Charris, Andrés Torres-Carvajal, Narciso Castro-Charris, Elena Romero-Fandiño, José David Ruiz Ariza, Javier Jiménez-Cabas

“…Therefore, the performance of the control strategy implemented is one way of reaching such optimal operating zones. This study proposes using Model Predictive Control strategies for solving some issues related to the proper operation of pipelines. …”
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Mapping Groundwater Potential Zones in the Widyan Basin, Al Qassim, KSA: Analytical Hierarchy Process-Based Analysis Using Sentinel-2, ASTER-DEM, and Conventional Data by Ragab A. El Sherbini, Hosni H. Ghazala, Mohammed A. Ahmed, Ismael M. Ibraheem, Hussain F. Al Ajmi, Mohamed A. Genedi

“…The GWPZ model was validated by analyzing data from 48 water wells distributed in the study area. …”
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Evaluation of parenting interventions for those with additional health and social care needs during pregnancy: THRIVE a multi-arm RCT with embedded economic and process components by Marion Henderson, Anja Wittkowski, Katie Buston, Karen Crawford, Alice MacLachlan, Alex McConnachie, Emma McIntosh, Claudia-Martina Messow, Catherine Nixon, Rosaleen O’Brien, Shona Shinwell, Daniel Wight, Yiqiao Xin, Rachel Calam, Ruth Dundas, James Law, Helen Minnis, Lucy Thompson, Philip Wilson

“…CAU and MB vs. CAU). Process evaluation A realist process evaluation (PE) was undertaken and utilised a range of methods, including participant observation, interviews and questionnaires to examine ‘what works for whom in what circumstances?’ …”
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Probing the Inert Doublet Model via vector-boson fusion at a muon collider by Johannes Braathen, Martin Gabelmann, Tania Robens, Panagiotis Stylianou

“…We additionally investigate the impact of the collider energy by comparing sensitivities to the target process at 3 TeV and 10 TeV. Our results provide a clear motivation for a muon collider design capable of reaching a 10 TeV centre-of-mass energy. …”
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A hydrothermal coupling model for permafrost subgrade considering temperature gradient and its application by Jianqing Jia, Zeqing He, Victor O. Tenorio

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A Learning Emotion Recognition Model Based on Feature Fusion of Photoplethysmography and Video Signal by Xiaoliang Zhu, Zili He, Chuanyong Wang, Zhicheng Dai, Liang Zhao

“…The ability to recognize learning emotions facilitates the timely detection of students’ difficulties during the learning process, supports teachers in modifying instructional strategies, and allows for personalized student assistance. …”
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A temporal fusion method for modeling the rate of penetration during deep geological drilling by Yang ZHOU, Chengda LU, Min WU, Xin CHEN, Ningping YAO, Haitao SONG, Youzhen ZHANG

“…ObjectiveGiven that the rate of penetration (ROP) serves as a key indicator of drilling efficiency, constructing an accurate ROP model holds great significance for optimizing drilling processes and reducing drilling costs. …”
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Electrochemical CO2 reduction in ionic liquids: a 3D modeling approach by Inês S Fernandes, Sofia Messias, Rodrigo Martins, Manuel J Mendes, Ana S Reis-Machado

“…An unprecedented 3D model for porous cathodes was designed for the co-electrolysis of CO _2 and water to produce syngas, particularly considering aqueous and ionic liquid (IL) electrolytes to increase CO _2 solubility in the electrolyte while lowering its density and kinematic viscosity to boost ECR process performance. …”
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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data by Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff

“…There is excellent agreement between the measured and predicted friction when the GPR model is used on AE histogram data, with root mean square (RMS) errors as low as 0.03 and Pearson correlation coefficients reaching 0.8. …”
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Conformational features of lactate dehydrogenase: temperature effect in presence of small molecules, mathematical model by F. N. Gilmiyarova, V. I. Kuzmicheva, N. A. Kolotyeva, M. V. Komarova, E. A. Ryskina, O. A. Gusyakova, D. S. Vinogradova, V. V. Salmin

“…Understanding the role of small molecules in the regulation of biological and catalytic processes has long remained in the background of scientific interest, but today the work in this direction is reaching a new level. …”
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Estimation of the effective elastic thickness using global gravitational, lithospheric structure, and rheology models by Robert TENZER, Mehdi ESHAGH, Samurdhika RATHNAYAKE

“…For the former, we used global lithospheric age and upper-mantle temperature models. For the latter, we derived this parameter using global gravitational, lithospheric structure, and rheology models. …”
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A Hierarchical Local-Sparse Model for Semantic Change Detection in Remote Sensing Imagery by Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo

“…The small window provides tightly related local information, while the larger window offers relevant but potentially more distant information, achieving a hierarchical processing of information from local to long-range. …”
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ARIMA-Kriging and GWO-BiLSTM Multi-Model Coupling in Greenhouse Temperature Prediction by Wei Zhou, Shuo Liu, Junxian Guo, Na Liu, Zhenglin Li, Chang Xie

“…Utilizing the high-quality data processed by this model, this study proposes and constructs a novel Grey Wolf Optimizer and Bidirectional Long Short-Term Memory (GWO-BiLSTM) temperature prediction framework, which combines a Grey Wolf Optimizer (GWO)-enhanced algorithm with a Bidirectional Long Short-Term Memory (BiLSTM) network. …”
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Harmonizing Drying Time, Layer Thickness, and Drier Zones for Drying Kinetics: Quality and Safety of Solar Tunnel-Dried Wet-Processed Parchment Coffee (Coffea arabica L.) by Zenaba Kadir Abdissa, Yetenayet B. Tola, Addisalem Hailu Taye, Hayat Hassen Mohammed

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Linear Quadratic Optimal Modeling for Metro Train Operation and Solving with Interior-point Algorithm by FENG Jianghua, WANG Bin, HU Yunqing, XU Shaolong, LI Xiangyu

“…It investigated the energy optimal control problem for metro train operation process and established a linear quadratic optimal model in according to the traction and brake capability, speed limits andpassenger comfort. …”
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Mathematical modeling of the mechanical characteristic of the activated PTFE-matrix using the method of planning the experiment by Bilous O. A., Hovorun T. P., Berladir K. V., Vorobiov S. I., Simkulet V. V.

“…Mathematical modeling is performed by the method of orthogonal experiment planning. …”
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Zur Chemie phylogenetischer und ontogenetischer Adaptations- und Lernprozesse (informationstheoretisch-quasimolekulares Modell) by Hermann Schaltegger

“… On the chemistry of phylogenetic and ontogenetic adaptation and learning processes: an information theoretical-quasimolecular model. …”
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The STAD Model Assisted by Audio Visual Media Increases Student Motivation and Learning Achievement by Dian Istiqorini Setiarufi

“… The low learning motivation of students in the learning process. The initial motivation of students is 69% (less), namely out of 14 students, only four students meet the indicators of success. …”
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