Deciphering organic substrate impacts in Anammox systems: A machine learning driven framework for predictive classification and process mechanism analysis by Zemin Li, Yulun Wu, Tao Chen, Bo Yan, Chaohai Wei

“…Two machine learning models were employed to predict Anammox performance, with Random Forest (RF) identified as the optimal model, subsequently validated using real coking industry wastewater treatment data. SHapley Additive exPlanations (SHAP) analysis revealed differential regulatory dominance across systems: organic concentration, influent ammonium nitrogen (NH4+-N) manifaested as the primary governing factors in biodegradable system, whereas organic type emerged as the most critical factors in biorefractory and combined systems. …”
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Abate application practices in the Guinea worm endemic region of Gambella, Ethiopia: identification of elimination gaps by Yamlak Gindola, Desalegn Getahun, Khogali Ahmed Mohammed, Edward Mberu Kamau, Bienvenu Salim Camara, Mesfin Wossen, Kassahun Demissie, Sintayehu Abdela, Gashaw Gebrewold, Girmay Hailu, Mesfin Tegistu, Akwoma Okugn, Gnkikew Gikilo

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An Attempt to Evaluate Absorption of the Funds from the Operational Program Infrastructure and Environment within Action “Generation of Energy from Renewable Sources” by Piotr Gradziuk, Barbara Gradziuk

“…The methods of comparative analysis were used for the purpose of the evaluation. …”
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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward by Michel Baldin, Jeffrey M. Bewley, Victor E. Cabrera, Kevin Jones, Connie Loehr, Gustavo Mazon, Juan D. Perez, Matthew Utt, Jeff Weyers

“…Data integration and analysis are critical for advancing the dairy industry, enabling better decision-making, and improving operational efficiencies. …”
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SCALE EFFICIENCY IN TAMBAQUI FARMING IN EARTH PONDS IN THE METROPOLITAN REGION OF MANAUS-AM by Jesaias Ismael COSTA, Omar Jorge SABBAG, Maria Inez Espagnoli Geraldo MARTINS

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SCALE EFFICIENCY IN TAMBAQUI FARMING IN EARTH PONDS IN THE METROPOLITAN REGION OF MANAUS-AM by Jesaias Ismael COSTA, Omar Jorge SABBAG, Maria Inez Espagnoli Geraldo MARTINS

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The Effect of Company Operational Complexity, Profitability, Solvency, Audit Tenure, and Financial Distress on Audit Delay During the Pandemic by Fajar Apriyustiono, Muhammad Abdul Aris

“…Secondary data is obtained from the companies' annual financial reports, with data analysis conducted through descriptive statistics and multiple linear regression methods. …”
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Measurement of the operational efficiency of tertiary public hospitals in Western China: evidence from Guangxi from 2019 to 2022 by Junjie Huang, Junjie Huang, Haitao Yuan, Yanlong Wu, Huiyu Wang, Xinwen Liu, Bo Wei, Mengjian Zhang, Pinghua Zhu

“…The indicators were analyzed using data envelopment analysis with Banker, Charnes and Cooper (DEA-BCC) and Malmquist index models. …”
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Investigation of Apparatus Reliability Applied for Protection of Power Networks in Emergency Operational Cases at Dwelling Sector of the Republic of Belarus by G. T. Kulakov, A. N. Kukharenko

“…On the basis of statistic data analysis it has been established that nearly 10 % of fires that oc­curred in the dwelling sector of the Republic of Belarus in 2006 are related with emergency regime of electric equipment, electric devices and power networks. …”
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A two-stage approach to enhancing biofuel supply chains through predictive and optimization analytics by Mehdi Soltani Tehrani, Siamak Noori, Ehsan Dehghani

“…This study introduces a comprehensive two-stage optimization framework to advance the design and operation of biofuel supply chains. In the initial stage, a novel hybrid methodology integrates data envelopment analysis with artificial neural networks to identify optimal sites for agricultural waste collection facilities. …”
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Determination of the Most Damaging Operational Loading Modes of Load-Bearing Structures of the Dump Truck Body by Fatigue Criterion by Aliaksei V. Shmialiou, Alexander M. Naskovets, Sergey V. Khitrikov, Aliaksandr L. Krauchonak

“…Processes of change of mechanical axial stresses during the tests were registered in eight zones. Experimental data analysis revealed two zones of the structure where the fatigue damage accumulation happens more than twice as fast as in the others. …”
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Intelligent Methods of Operational Response to Accidents in Urban Water Supply Systems Based on LSTM Neural Network Models by Aliaksey A. Kapanski, Nadezeya V. Hruntovich, Roman V. Klyuev, Aleksandr E. Boltrushevich, Svetlana N. Sorokova, Egor A. Efremenkov, Anton Y. Demin, Nikita V. Martyushev

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The Mediating Effects of HR Outcome and Operational Outcome in the Relationship between HPWS and Financial Performance in Public Enterprises in Ethiopia by Wondimagegne Assefa REDA, Berhanu Temesgen ESHETU

“…The results of the structural equation modeling (SEM) analysis, based on data gathered on a survey of 480 managers who work in nine public enterprises, demonstrate that operational outcome has a significant positive mediating effect in the HPWS-financial performance relationship. …”
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A Novel Method for Simulation Model Generation of Production Systems Using PLC Sensor and Actuator State Monitoring by Norbert Szántó, Szabolcs Fischer, Gergő Dávid Monek

“…The results confirm that essential structural and operational parameters—such as process routing, operation durations, and resource allocation logic—can be accurately inferred from runtime data. …”
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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

“…The findings highlight the importance of tailored heat treatment protocols and the potential of data-driven approaches to optimize pest control strategies, reduce energy consumption, and improve operational efficiency in industrial settings. …”
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Analysis of the State and Characteristics of the Development Potential of Strategic Planning Tools in the Digital Transformation Conditions of the Economy and Management by O. M. Pisareva

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The study on the dissemination of waste sorting policies on social media and the public’s feedback attitudes: a text analysis based on comment data of policies in 46 key cities in... by Liangkun Chen, Lexin Huang, Wanqi Ma, Suwei Ma, Yuhang Li

“…This study investigates the dissemination of major waste sorting policies and public feedback attitudes across 46 key Chinese cities using data from the Weibo social media platform. The research employs a Latent Dirichlet Allocation (LDA) topic model to identify and mine themes from comment texts, extracting multiple core discussion topics. …”
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Research on the Construction of a Short-Term Voltage Prediction Model Integrating Topological Data Analysis and Deep Neural Network under the Power System Resilience Assessment Fra... by Hongjun Wang, Tao Li, Zhiliang Dong

“…OBJECTIVES: The goal is to build a short-term voltage prediction model by integrating Topological Data Analysis (TDA) with Deep Belief Networks (DBN) and to propose a coordinated reactive power control strategy that enhances system dynamic performance under small disturbances. …”
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Parameter Estimation Precision with Geocentric Gravitational Wave Interferometers: Monochromatic Signals by Manoel Felipe Sousa, Tabata Aira Ferreira, Massimo Tinto

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A qualitative study of safety and human factors challenges in process control rooms operators by Raziyeh Janizadeh, Alireza Choobineh, Hamidreza Mokarami, Mehdi Jahangiri

“…A conventional content analysis approach was used to analyze the data. The written transcript of each interview served as the unit of analysis, and data analysis was performed using MAXQDA v.2022 software. …”
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