Comparing Optimal Portfolio Performance Based on Skew-Normal Distribution and Skew-Laplace-Normal Distribution: A Mean-Absolute Deviation-Entropy Approach by Hila Rezaei, Gholamhossien Golarzi, Omid Karimi

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Research on the Diaphragm Movement Characteristics and Cavity Profile Optimization of a Dual-Stage Diaphragm Compressor for Hydrogen Refueling Applications by Chongzhou Sun, Zhilong He, Dantong Li, Xiaoqian Chen, Jie Tang, Manguo Yan, Xiangjie Kang

“…Secondly, a simulation path integrating the finite element method simulation, theoretical stress model, and movement model was developed and experimentally validated to analyze the diaphragm stress distribution and deformation characteristics. Finally, comparative optimization analyses were conducted on different types of diaphragm cavity profiles. …”
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SARS-COV-2 PREVALENCE IN INDIA COMPARED TO THE REST OF THE GLOBE AND ASCERTAINS EPIDEMIOLOGICAL CHARACTERISTICS ASSOCIATED WITH THE COVID-19 PANDEMIC DURING 2020 IN INDIA by M. Rajesh Kumar Rao, Rabindra N. Padhy, Manoj Kumar Das

“…We ascertain the pandemic burden of COVID-19 disease between India and the rest of the world; monitor the burden of COVID-19 disease in Indian states and union territories compared to other countries with nearly equivalent population sizes, and study the epidemiological characteristics.Material and Methods: A population-based comparative optimization algorithms study was conducted on all COVID positive cases reported by 31st December 2020.Results: Confirmed cases resulted in India with a ratio of 1:7.2 to the rest of the world, with a lower mortality rate with a ratio of 1:12 (CMR per 100,000 people) than other countries. …”
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Comparison of Energy Consumption Optimization in Sugar Factory Using Meta-Heuristic Algorithms by M. Boroun, M. Ghahderijani, A. A. Naseri, B. Beheshti

“…Energy flow were analyzed using MATLAB statistical software and the Equinonet database, with comparative optimization through genetic algorithms and imperialist competitive algorithms to identify efficiency improvements.Results and DiscussionThe results showed that, for the majority of indicators evaluated, the imperialist competitive algorithm outperformed the genetic algorithm in optimizing energy consumption. …”
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Thermo-economic investigation and comparative multi-objective optimization of dual-pressure evaporation ORC using binary zeotropic mixtures as working fluids for geothermal energy... by Shahin Akbari, Shahin Faghiri, Ali Mehrparwar Zinjanabi, Mohamad Ali Bijarchi, Mohammad Behshad Shafii, Khashayar Hosseinzadeh

“…Specific Exergy Costing (SPECO) procedure is utilized to provide practical insights into the exergoeconomic aspect of the system. Comparative optimization based on the multi-objective genetic algorithm is accomplished for each mixture in order to simultaneously maximize the exergy efficiency and minimize the total cost rate using the design variables of pressure factor in low-pressure and high-pressure stages, mixture fraction, pinch point temperature differences in low-pressure and high-pressure heat exchangers, and degree of superheat in the high-pressure heat exchanger. …”
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Residual Chlorine Modeling Sensitivity to Different Decay Models in Optimized and Non-Optimized Water Distribution Networks by Sergio Serrano, Laura González, Valeria Rodríguez, Juan Saldarriaga

“…The purpose of this study is to evaluate chlorine decay in 17 networks, comparing optimal and non-optimal designs, with the aim of defining if optimized designs lead to lower chlorine consumption in the networks. …”
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Search and Rescue Optimization Algorithm for Size Optimization of Truss Structures with Discrete Variables by A. Shabani, B. Asgarian, M. Salido

“…The comparisons demonstrated that the best averages and standard deviations of results were obtained by SAR for all the studied problems and the proposed algorithm outperforms the other compared optimization algorithms in terms of finding the optimized weight of the truss (accuracy). …”
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Multicriteria decision-making method applied to optimized reinforced concrete, steel, and wood beams by Moacir Kripka, Karol Mezzomo, Zacarias Chamberlain Pravia

“…This work adopts a multicriteria decision method to compare optimized reinforced concrete, steel, and wood beams to subsidize the choice of the best material. …”
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An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. by Zhenzhong Zhang, Ling Zhang, Deqiang Fu, Weichun Li

“…Experimental results show that this method surpasses the compared optimization methods regarding both optimization capability and optimization efficiency.…”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…It also offers a robust framework for effectively using and comparing optimization algorithms in thermal engineering applications.…”
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Optimal Frequencies for Wireless Power Transfer Through Biological Tissues by Nam Ha-Van, Sergei A. Tretyakov, Constantin R. Simovski

“…The study aims to find and compare optimal frequency ranges of WPT, distinguishing the regimes of maximal efficiency and maximal transferred power for both of these cases. …”
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Flexible Combinatorial-Bids-Based Auction for Cooperative Target Assignment of Unmanned Aerial Vehicles by Tianning Wang, Zhu Wang, Wei Li, Chao Liu

“…A comparison of the results demonstrates that the FCBA can provide comparable optimal results to a genetic algorithm but has better computational efficiency, and the reconnaissance effectiveness can be improved by considering cooperative observation.…”
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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…Additionally, two self-supervised tasks are designed for improved model accuracy and robustness. (3) Results: The fine-tuned model had comparatively optimal performance metrics with significant reductions in Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). (4) Conclusions: Ultimately, the integration of this model into travel time prediction, based on two large-scale real-world trajectory datasets, demonstrates enhanced performance and computational efficiency.…”
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Evaluating techniques from low-shot learning on traditional imbalanced classification tasks by Preston Billion-Polak, Taghi M. Khoshgoftaar

“…To the best of our knowledge, our work is the first to directly compare optimization-based and contrastive approaches in any setting, and the first work to examine either of these approaches on a tabular big-data task. …”
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Helium and argon cold plasma effects on the 4T1 cancer cells and a triple negative mouse model of breast cancer by Mahdiyeh Bakhtiyari-Ramezani, Meysam Nasiri, Mansoureh Baniasadi

“…For the first time, we aimed to evaluate and compare optimal exposure time and direction-dependent cellular effects of helium and argon plasma on the 4T1 cancer cells and a triple-negative mouse model of breast cancer. …”
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Supply chain resilience enhancement strategies in the context of supply disruptions, demand surges, and time sensitivity by Xin Yan, Jian Li, Yanan Sun, Robert De Souza

“…The study uses a Stackelberg game model, with the retailer as the leader and the supplier as the follower, to analyze and compare optimal strategies for supply chain participants under different levels of risk. …”
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Glycemic and non-glycemic benefits of initial triple therapy versus sequential add-on therapy in patients with new-onset diabetes: results from the EDICT study by JOHN ADAMS, Ralph A DeFronzo, Aurora Merovci, Curtis Triplitt, Muhammad Abdul-Ghani, Curtiss Puckett, Siham Abdelgani, Olga Lavrynenko

“…Nonetheless, subjects receiving sequential add-on therapy experienced a greater increase in cIMT and manifested greater liver fat content and fibrosis than subjects receiving initial triple therapy.Conclusions Including pioglitazone plus exenatide in the glucose-lowering regimen slows the progression of cIMT and was associated with lower hepatic fat content and fibrosis compared with subjects receiving sequential add-on therapy without pioglitazone and exenatide despite comparable optimal glycemic control.Trial registration number NCT01107717.…”
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Optimized control of parallel heat pump units based on the satin bower bird algorithm in a distributed architecture by Sijia Zhang, Jiangtao Xi, Anjun Zhao, Jun Liu, Yuping Zhang

“…To address these issues, this study first establishes and compares optimization models of centralized and distributed systems targeting parallel heat pump units. …”
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Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection by Rehan Rabie, Sahran Shahnorbanun, Alyasseri Zaid Abdi Alkareem, Sani Nor Samsiah, Al-Betar Mohammed Azmi

“…The findings revealed that OeSNN-ABC had the best performance among all compared optimization algorithms and classifiers, outperformed prior anomaly detection techniques for the NAB dataset, and achieved competitive results for the Yahoo Webscope dataset.…”
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Maize associated bacterial and fungal microbiomes show contrasting conformation patterns dependent on plant compartment and water availability by Sandra Díaz-González, Sara González-Bodí, Carlos González-Sanz, Patricia Marín, Frédéric Brunner, Soledad Sacristán

“…In this work, we explored: (i) the conformation of the bacterial and fungal assemblages of different soil and plant compartments (bulk soil, rhizosphere, roots, leaves and grains) along the crop cycle of maize in an open field trial; and (ii) the effect of water restriction on the maize microbiome, comparing optimal irrigation with a 30% reduction of water supply. …”
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