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Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control
Published 2025-01-01“…In the industry and logistic the production process is the sequence that aims to convert raw materials into finished or semi-finished products. …”
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102
Impact of process parameters and material selection on the mechanical performance of FDM 3D-Printed components
Published 2025-09-01“…ANOVA analysis was employed to determine the statistical significance of process parameters on mechanical performance. Tensile, compressive, and flexural tests revealed that PAHT-CF exhibited superior strength in all categories, while nozzle diameter emerged as the most influential parameter. …”
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103
Investigation of cadmium removal using tin oxide nanoflowers through process optimization, isotherms and kinetics
Published 2025-04-01“…The batch adsorption process was optimized by response surface methods to investigate the influential parameters of the adsorption process. …”
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104
Application of the Analytic Network Process for Sub-Watershed Prioritization in the Huehuetan River Basin, Chiapas, Mexico
Published 2024-11-01“…The results identified hydrology and land-use change as the most influential criteria, with weights of 20.62% and 19.82%, respectively, driven mainly by surface runoff and deforestation. …”
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105
Waste to Biofuel: Process Design and Optimisation for Sustainable Aviation Fuel Production from Corn Stover
Published 2025-06-01“…Sensitivity analysis confirmed that hydrogen, catalyst, and feedstock pricing are the most influential variables, suggesting targeted reductions could push the MFSP below 2 USD/L. …”
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106
Patient Satisfaction Following Top Surgery: A RealSelf Analysis Using Advanced Natural Language Processing
Published 2025-06-01“…An artificial intelligence (AI) natural language processing tool was used for sentiment quantification from 0 to 1. …”
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107
Evaluation of the Performance of E-Commerce Using the Analytic Hierarchy Process (AHP): Business Perspectives on E-Commerce
Published 2017-12-01“…As business innovation has relied increasingly on partnerships between business and supplier, there is a different perspective of how business executives view their business process and competitive advantage. Based on the findings from this study, one important way for business people to be heard is to devote their time to create competitive advantage and develop shared domain knowledge which appear as the most influential construct in the AHP model. …”
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108
Utilizing an Innovative Gaussian Process Regression Machine Learning Algorithm for Estimating Unconfined Compressive Strength Predictions
Published 2025-06-01“…This article offers an advanced argument in using a Machine Learning algorithm known as Gaussian Process Regression to predict the UCS for mixtures of soils. …”
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109
An ISM-based approach to overcoming barriers to adopting next-generation processing and computing technologies in the ceramics and glass manufacturing industries
Published 2025-06-01“…Next-generation processing and computing technologies (NGPTs), being new platforms that provide high energy efficiency and process intensification, are touted as key decarbonisation enablers in the ceramic and glass manufacturing sectors, but there are adoption barriers to overcome. …”
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110
Techno-economic analysis and process simulation of alkoxylated surfactant production in a circular carbon economy framework
Published 2024-12-01“…CO2 conversion rates range around 3% across processing capacities of 25 kt/a, 100 kt/a, and 1000 kt/a. …”
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111
How did an election fraud narrative spread online? Testing theories us-ing machine learning and natural language processing
Published 2024-05-01“…In this study, we investigated 1) how election fraud narratives propagated on social media, and 2) the role of influential actors in the process of building and spreading the election fraud narratives. …”
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112
Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis
Published 2010-01-01“…This paper presents the results of defining the mathematical model which describes the dependence of leaching degree of Al2O3 in bauxite from the most influential input parameters in industrial conditions of conducting the leaching process in the Bayer technology of alumina production. …”
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Adoptability of Test Process Models: ISO/IEC 29119, TMMI y TPI from the small organization perspective
Published 2018-05-01“…Testing is considered to be an important stage in the software development process. Therefore, there are different proposals regarding how to perform testing activities at a project level and at organizational level. …”
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115
Optimization of Mechanical Properties and Manufacturing Time through Experimental and Statistical Analysis of Process Parameters in Selective Laser Sintering
Published 2022-01-01“…A statistical analysis of the response of the parameters has been led by a design of experiments to extract the most influential parameters in the selective laser sintering process. …”
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116
The Physics and Metaphysics of Social Powers: Bridging Cognitive Processing and Social Dynamics, a New Perspective on Power Through Active Inference
Published 2025-05-01“…We argue that power through scripts stems not only from associations with influential agents but also from the ability to efficiently process information, creating a feedback loop of increasing influence. …”
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117
Can Eye Movements Be a Predictor of Implicit Attitudes? Discrimination Against Disadvantaged Individuals During the Recruitment Process
Published 2022-10-01“…Furthermore, we also found that the disadvantageous social identities of these candidates were more influential in the recruitment process.As a result, we can say that our implicit attitudes affect our behaviors and preferences, and eye movements can be a useful tool in predicting intentions and implicit attitudes.…”
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118
The role of innovation leadership in enhancing supply chain efficiency: a mediated model of process improvement and information technology
Published 2025-07-01“…The findings disclosed that innovative leadership is very influential when it comes to information technology and process improvement in supply chains. …”
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119
Modeling the impact of climate change on corvus species distribution in Somaliland: Bayesian spatial point process approach for conservation
Published 2025-08-01“…Conversely, the model revealed highly influential and statistically significant spatially structured (autocorrelation) and unstructured random effects. …”
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120
Process Importance Identification for the SPAC System Under Different Water Conditions: A Case Study of Winter Wheat
Published 2025-03-01“…However, most sensitivity analyses for SPAC models focus on parameter-level assessment, providing limited insights into process-level importance. To address this gap, this study proposes a process sensitivity analysis method that integrates the Bayesian network with variance-based sensitivity measures. …”
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