Automated System to Optimize the Process and Energy Consumption for Sewage Treatment Plant Based on Gas Emission by Using Sensors and IoT by S. Ullas, B. Uma Maheswari, Seshaiah Ponnekanti, T. M. Mohan Kumar

“…The system explores gas emission patterns during water treatment and maps emission levels during the process to assess treatment completion. It integrates advanced sensors, microcontrollers, and cloud-based data management for real-time tracking and process optimization. …”
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Scientific and Methodological Bases of Exergetic Analysis of the Processes of Heat Treatment of Concrete Products in Heat Technology Installations. Part 1 by V. N. Romaniuk, A. M. Niyakovskii

“…Heat treatment of concrete and reinforced concrete products belongs to such technologies. This article presents new scientific results related to the development of exergetic balances of the processes of preparation of concrete mixture in a mixer and heat treatment of a concrete product in a heat-technological installation. …”
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Process optimisation: spinal versus general anaesthesia for endourological surgery. A randomised, controlled trial and machine-learning approach by Kornel Skitek, Gregor A. Schittek, Jens Soukup

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Development of a mathematical model for microbial consumption of glucose and fructose during cocoa (Theobroma cacao L.) fermentation process by Daniel López-Puentes, Franyer López-Valiente, Daniel Rojas-Rodriguez, Diana Arias-Moreno

“…Initially, the need to construct a mathematical model was proposed due to its economic importance for small-scale producers in the national and international industries. In addition to the lack of control over the fermentation process, the complexity in terms of the microbial communities involved yeast (Y), lactic acid bacteria (LAB), and acetic acid bacteria (AAB). …”
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Effects of processing by enzymatic, bacteria, and traditional methods on produced sauce quality from the intestine of farmed Sturgeon during storage by Mina Seifzadeh, Anosheh Koochakian Sabour, Ali Raoufi

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Assessing the suitability of the Langevin equation for analyzing measured data through downsampling by Pyei Phyo Lin, Matthias Wächter, Joachim Peinke, M Reza Rahimi Tabar

“…Such non-continuous changes pose a significant challenge for general processes and have profound implications for risk management. …”
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The decision-making process and experiences of women returning to work after parental leave: a qualitative systematic review protocol by Safiye Sahin, Sabine S. Dunbar, Gurmeet Sehgal, Lisa R. Roberts, Jan M. Nick

“…However, a comprehensive understanding of these influences on women’s experiences returning to work after parental leave is lacking. Inclusion criteria We will include qualitative studies examining women’s decision-making processes and experiences of returning to work after parental leave, with a focus on the influence of cultural norms and societal expectations. …”
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A Self-Consistent, High-Fidelity Adsorption Model for Chromatographic Process Predictions: Low-to-High Load Density and Charge Variants in a Preparative Cation Exchanger by Gregor M. Essert, Marko Tesanovic, Sonja Berensmeier, Isabell Hagemann, Peter Schwan

“…While existing chromatography modeling software explains experimental data, it often lacks predictive power for new conditions. In academic–industrial cooperation, we demonstrate a new high-fidelity model based on biophysics for developing ion-exchange chromatography in biomanufacturing, making it a general tool in rationalizing process development for the present demand of recombinant proteins and monoclonal antibodies and the emerging demand of new modalities. …”
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Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning by Matvey Gerasyov, Andrey V. Savchenko, Ilya Makarov

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Assessing the Sustainability of Energy-Related Nanomaterial Synthesis: Emphasizing the Need for Energy-Efficient Nanomaterial Preparation Techniques by Nazim Hasan, Manikandan Muthu, Othman Hakami, Judy Gopal

“…The lack of data/information on the energy expended on nanomaterial synthesis has been critically pointed out. …”
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Wejścia na rynek nowych firm a konkurencyjność przedsiębiorstw istniejących by Aleksandra Gaweł

“…Both positive and negative arguments can be presented in regards to the effect of new entrants on existing market players. …”
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A Study on the Influence of Hindu Mythological Characters on Management Practices by Piyush Mehta, Ashok K. Thakur, Ishaan Chauhan, Nikhil Uprety

“…The study has mainly intended to identify relevance of Hindu mythological characters in the decision making process of managers. The study has also highlighted the relationships of management styles of managers with the techniques of different Hindu mythological characters and it has even presented the perception of managers regarding the application of Hindu mythology in managing their operation. …”
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Rapid defect prediction and optimisation method for Ti-modified AlCuMg alloys processed by laser powder-bed fusion by Ziqian Wang, Yuhan Qian, Tengteng Sun, Yakai Xiao, Zijue Tang, Yi Wu, Hua Sun, Xingtian Liu, Haowei Wang, Hongze Wang

“…Accordingly, the present work proposed a comprehensive model with which the formation of hot-tearing cracks and lack-of-fusion pores could be more efficiently predicted. …”
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School networks: Being and creating networks. A framework for analyzing the forms, processes, and practices of school networks for pedagogical and didactic innovation by Alessia Lambicchi, Giulia Gabriella Elena Pastori

“…Structured across fourteen dimensions, the matrix serves as a research and analysis tool to help networks critically assess their structure and operational processes. The paper presents a theoretical framework that precedes an empirical study aimed at refining and validating the matrix.…”
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Development and validation of an instrument to evaluate school-health implementation: a sequential mixed-methods approach by Kate E. Storey, Roman Pabayo, Samuel A.J. Lowe, Erin L. Faught, Kacey C. Neely, Stephen Hunter, Genevieve Montemurro

“…Despite its effectiveness, there is currently a lack of evaluative tools for schools and school authorities (i.e., school districts, divisions, boards) to measure wholistic shifts in school culture and the conditions present to support implementation. …”
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A Primary-Care-Centered Integrated Care Intervention for Stratified Cardiovascular Risk Control in China: A Process Evaluation Protocol by Weijia Lu, Ziming Wang, Xinxin Xia, Yuan-Tao Huang, Yulin Kuang, Qihang Zhao, Jin Xu

“…In response, a complex primary care-centered integrated care intervention (C-RISIMA) has been developed with a risk-stratified integrated care pathway and a team-based blended payment mechanism in primary care facilities in China. This paper presents a protocol for a mixed methods process evaluation of this complex intervention, conducted in a multi-center, two-arm, cluster randomized controlled trial. …”
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Comprehensive Assessment of Technological Challenges In Photovoltaic Waste Recovery In India Using Principal Component Analysis and Analytic Hierarchy Process Models by Dinesh Yadav, Sanjeev Kumar, Prabhu Paramasivam, Praveen Kumar Kanti, Rupesh Gupta, Mohamed Yusuf

“…Addressing these challenges is crucial for minimizing environmental risks and promoting a circular economy in the renewable energy sector. This study presents a smart multi‐criteria decision‐making (MCDM) approach that integrates Principal Component Analysis (PCA) and the Analytic Hierarchy Process (AHP) to assess technological challenges in PV waste management. …”
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Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition by Marijn van Vliet, Oona Rinkinen, Takao Shimizu, Anni-Mari Niskanen, Barry Devereux, Riitta Salmelin

“…Traditional models of reading lack a realistic simulation of the early visual processing stages, taking input in the form of letter banks and predefined line segments, making them unsuitable for modeling early brain responses. …”
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Wastewater matters: incorporating wastewater treatment and reuse into a process-based hydrological model (CWatM v1.08) by D. Fridman, M. Smilovic, P. Burek, S. Tramberend, T. Kahil

“…Although hydrological modeling has advanced to incorporate human–water interactions, large-scale and multi-resolution models often lack the comprehensive integration of wastewater treatment and reuse processes. …”
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Innovative cone resistance and sleeve friction prediction from geophysics based on a coupled geo-statistical and machine learning process by A. Bolève, R. Eddies, M. Staring, Y. Benboudiaf, H. Pournaki, M. Nepveaux

“…To avoid a potential overfitting problem inherent to the use of machine learning and a lack of data at certain locations, we explore the possibility of using a prior Geo-Statistical (GS) approach that attempts to constrain the overfitting process by “artificially” increasing the amount of input data. …”
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