Integration of Total Quality Management Practices in Enhancing Supply Chain Resilience by Ariba Zubair

“…Studies on TQM and supply chain resilience were analyzed to identify key themes, including process efficiency, supplier relationships, and proactive risk management. …”
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Sociological portrait of the higher bureaucracy in Russia by G. A. Borshchevskiy

“…The study aims at identifying the prevailing recruitment model and at assessing the efficiency of policies, the necessity of which is determined by the high influence of bureaucracy in the Russian society and by the negative reputation of the civil service. …”
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Application of Log-Type Estimators for Addressing Non-Response in Survey Sampling Using Real Datasets by G. R. V. Triveni, Faizan Danish, Melfi Alrasheedi

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Study of the stress state of polycarbonate monolithic sheets using optical-polarization methods by A. V. Markov, V. A. Lobanov

“…The study assessed the possibility of using optical-polarization methods to test quantitatively the stress state and residual stress in polycarbonate (PC) monolithic sheets. …”
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Factors of Industrial Production Dynamics by A. V. Bystrov, A. R. Esina, V. D. Svirchevskiy

“…The range of quantitative correlation between indices of economy quality and industry quality formed for the big countries-technological leaders of the world is identified. …”
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Study on the Multi-parameter Inversion of Reservoir Water Quality Based on GF-1 WFV Image and Neural Network Model by ZHENG Yanhui, ZHANG Yuanbo, HE Yanhu

“…This paper establishes a multi-parameter quantitative inversion model of water qualityin multispectral remote sensing images by domestic GF-1 WFV image and neural network model toachieve high-efficiency, large-scale, continuous-space and multi-parameter change monitoring ofreservoir water quality, explores the application feasibility of domestic satellite image inremotesensing inversion of water quality, and provide technical support for lake chief system and lakeeutrophication assessment. …”
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Effect of Inflation on Export Earnings in Uganda (1990-2022). by Eyanu, Daniel

“…This quantitative study aimed to examine the effect of Inflation on Export Earnings in Uganda from 1990-2022 while controlling exchange rates, Inflation, and Trade Openness. …”
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Do transparency and accountability enhance regulatory compliance in public procurement? Evidence from Tanzania by Goodluck G. Ntangeki, Ismail A. Changalima, Scholastica N. Justus, Denis C. Kawishe

“…This study was quantitative in nature and utilised a quantitative analysis approach to analyse data from 202 public procurement practitioners in Dodoma, Tanzania. …”
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Evaluating Prospective Energy Services Demand for Residential Solar Photovoltaic (RSPV) Generated Electricity in Lagos State, Nigeria by Olalekan Jesuleye, Andrew Oriola, Adeyemi Adepoju

“…Furtherance to this, the study recommends government intervention with formulation and implementation of dedicated policies on household appliances efficiency standard and also introduce financial schemes to support the replacement of inefficient household appliances with highly efficient ones. …”
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Research Trends and Hotspots in eDNA-Based Surveys of Macroinvertebrates: A Bibliometric Analysis by Xinyu Ge, Junyu Zhang, Ziming Shao, Lu Chai, Jiaxin Nie, Dan Yin, Haoran Zhang, Wenbin Liu, Chuncai Yan

“…Environmental DNA metabarcoding offers an efficient and non-invasive solution for aquatic biomonitoring surveys, particularly demonstrating remarkable potential in macroinvertebrate research. …”
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An echo state network based on enhanced intersecting cortical model for discrete chaotic system prediction by Xubin Wang, Pei Ma, Jing Lian, Jizhao Liu, Yide Ma

“…As an alternative, Echo State Networks (ESNs) are more computationally efficient, but their predictive accuracy can be constrained by the use of simplistic neuron models and a dependency on hyperparameter tuning.MethodsThis paper proposes a framework, the Echo State Network based on an Enhanced Intersecting Cortical Model (ESN-EICM). …”
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HypE-GA based study on optimal design of standard floor facade windowing of high-rise office buildings facing energy saving in heating, cooling and lighting. by Weixiang Zhang, Jieli Sui

“…The quantitative design on area and location of building façade's windows has a significant impact on interior light and heat environment, which is also very instructive for preliminary and remodeling design of buildings. …”
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Regularized Kaczmarz Solvers for Robust Inverse Laplace Transforms by Marta González-Lázaro, Eduardo Viciana, Víctor Valdivieso, Ignacio Fernández, Francisco Manuel Arrabal-Campos

“…The primary objective of this study is to develop robust and efficient numerical methods that improve the stability and accuracy of ILT reconstructions under challenging conditions. …”
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Optimization of Flight Planning for Orthomosaic Generation Using Digital Twins and SITL Simulation by Alex Oña, Luis Ortega, Andrey Carrillo, Esteban Valencia

“…The results demonstrate that the proposed parameters optimize mission planning in terms of efficiency and quality. Through both quantitative and qualitative evaluations, it was evident that, for low-altitude flights, the configurations with the lowest overlap produce high-resolution orthomosaics while significantly reducing operational time.…”
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Direct to psychology stepped care model implementation in the multidisciplinary sleep service: study protocol by Sara Winter, Sara Crocker, Tricia Rolls, Deanne Curtin, Jessica Haratsis, Tamlyn Rautenberg, Irene Szollosi

“…The RE-AIM framework and Standards for intervention Reporting Implementation Studies (StaRI) will be used to guide the development, implementation, evaluation and reporting of this service change. Quantitative data measuring outcomes of the new models of care on key indices of patient clinical outcomes, patient/clinician service satisfaction, and service efficiencies will be collected pre- and post-service change. …”
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Why do patients take part in research? An updated overview of systematic reviews of psychosocial barriers and facilitators by Peter Knapp, Peter Bower, Amber Lidster, Hugh O’Hare, Laura Ferreira Sol, Su Golder, Chris Keyworth, Adwoa Parker, Rebecca Sheridan

“…Abstract Background Efficient, equitable health research depends on understanding why people decide to take part. …”
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A systematic review of computational simulation methods for predicting the toxicity of chemical compounds by Akram Tabrizi, Fatemeh Paridokht, Yaser Khorshidi Behzadi, Rezvan Zendehdel

“…Introduction: With the rapid development of new chemicals across various industries and the growing need for efficient and accurate toxicity assessments, in silico methods have emerged as a screening tool due to their cost-effectiveness, time efficiency, and reduction in animal testing. …”
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Development of empirical correlations for sustainable breakup characterization of water and high-viscous oil sheets under acoustic perturbations using high-speed imaging by Aman Singh, Devesh T, Subhash K, Preetam Polavarapu, Jayakrishnan Rahul, Karthick S, Balaji K

“…Efficient techniques for breaking liquid columns into smaller droplets are highly valued in atomization and spray dynamics research. …”
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CPFT-MOSA: A Comprehensive Parallel Fault-Tolerant Multi-Objective Simulated Annealing Framework for UAV-Assisted Edge Computing in Smart City Traffic Management by Ahmed Shamil Mustafa, Salman Yussof, Nurul Asyikin Mohamed Radzi

“…An experimental evaluation conducted across 17 nodes managing 45 full layers (comprising 270 total layer assignments) demonstrates that CPFT-MOSA performs superiorly to traditional methods. Our results show quantitative improvements in three key metrics: efficient resource utilization with an average of 16.8 active nodes; a 21% improvement in energy distribution efficiency with a value of 0.063; and an 8.5% reduction in execution time to 1.6 units compared to conventional approaches. …”
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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis by Adama Ndour, Gerald Blasch, João Valente, Bisrat Haile Gebrekidan, Tesfaye Shiferaw Sida

“…Results highlighted, for instance, that pairing the DJI 2 UAV with Micasense sensor led to better machine learning performance in predicting biomass while Parrot Sequoia was identified as the most efficient multispectral sensor to phenotype leaf nitrogen content. …”
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