Reuse of sheep wool fibers in the production of ultralightweight foamed concrete: effect of fiber treatment, length, and content on the mechanical properties by Adriana Bravo Celi, Devid Falliano, Silvia Parmigiani, Daniel Suarez-Riera, Giuseppe Andrea Ferro, Luciana Restuccia

“…The research specifically seeks to identify the most effective treatments for sheep wool fiber (including non-treated, salt-treated, lime-treated, NaOH-treated, and surfactant-treated fibers), as well as the optimal fiber length (6, 12, and 20 mm) and content (4.5, 9, and 15 kg/m�) for ultralightweight foamed concrete in terms of mechanical strength. …”
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Fare Design in Urban Transit Network considering Elastic Demand and Adverse Weather’s Impact by Jiantong Zhang, Biyu Lv, Guichao Tian, Wenchi Liu

“…We get some important results: (1) a diversified fare structure considering uncertain weather’s impact is quite necessary; (2) when the value of time is at a high level, metro fare should be higher than bus fare; (3) the optimal metro and bus fare should be close under an extremely adverse weather condition; (4) fare structure could be quite different with varied value of time.…”
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INDUSTRY 5.0: DIGITALIZATION OF ACCOUNTING THROUGH THE EMERGENCE OF E-INVOICE by GORE BEATRICE ELENA, SCHITZ CORNELIA-ANA, RADU FLORIN

“…Accountants can use advanced digital platforms to assess risks, optimize cost structures, and anticipate market fluctuations, relying on data and advanced analytical models [6]. …”
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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. The intensification of societal aging and the increase in life stress have led to a growing number of patients suffering from both heart disease and depression. …”
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A lightweight lattice-based group signcryption authentication scheme for Internet of things by XU Chuan, AI Xinghao, WANG Shanshan, ZHAO Guofeng, HAN Zhenzhen

“…In the key generation stage, the improved trapdoor diagonal matrix was designed to optimize the original image sampling algorithm required for key generation and reduce the overall time required for generating a large number of keys. …”
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A Dual Resource Constrained Unrelated Parallel Machine Scheduling Model Considering Tardiness and Workload Balance by Karina Amanda Larasati, Sukoyo Sukoyo, Muhammad Akbar

“…However, it is still uncertain that the WSI value is better because no boundaries have been set between the two objective functions to achieve optimal values in the MILP model. The MIQP model focuses on the Workload Smoothness Index (WSI) value to give a limit to the total tardiness objective function. …”
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Nonlinear Dynamics Analysis of the Wind Turbine Gear Transmission System Considering Friction Effect by Xu Fan, Liu Wenbin, Zhang Haibo, Zhang Qiang, Wu Shijing, Wang Xiaosun, Duan Jiujun

“…The theoretical guidance is provided for the fault mechanism research, structure design and optimal working condition selection of the wind turbine gear transmission system.…”
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Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model by Kai Liang, Haijun Zhao

“…The adaptive moment estimation (Adam) algorithm was used to optimize the weights of each layer in the network, and the model was used to evaluate sound quality. …”
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Enhancing bowel sound recognition with self-attention and self-supervised pre-training. by Yansuo Yu, Mingwu Zhang, Zhennian Xie, Qiang Liu

“…Furthermore, a self-supervised pre-training strategy is employed, leveraging a large corpus of unlabeled audio data to learn general sound wave representations, followed by fine-tuning on a limited set of bowel sound data to optimize the model's recognition performance for specific tasks. …”
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A Novel Framework for Automation Technology Based on Machine Vision and Robotics in Electrical Power Inspection Processing by Heng Zhao, Shengnan Hu, Qingmiao Chen, Jiagui Tao, Jianzhuo Dai

“…Serious problems are due to incompetent human investigation. Issues are not optimally handled during this period. The application of Coach Ken technology can fully utilize machine vision technology to analyze the salient data and identify dominant devices that support shape vision. …”
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Spatial Equilibrium Evaluation and Diagnosis of Regional Water Resources Based on Comprehensive Gini Coefficient and Subtractive Set Pair Potential by DONG Tao, DONG Guoqiang, HU Yong, FENG Yaolong, ZHANG Jun

“…The evaluation model can provide a reference for the high-quality development of regional water conservancy and optimal allocation of water resources.…”
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Implementation of the regional program of cervical cancer screening by liquid-based cytology in the Rostov region by Т. A. Dimitriadi, D. V. Burtsev, E. A. Dzhenkova

“…Treatment  by conization  (622) and excision  (830) of the cervix was performed  in 1452 patients,  H‑SIL and CIS were revealed in 1162 women (78%).Conclusion. tests such as LB cytology and HPV testing, their optimal multiplicity and sequence allow timely detection and treatment of precancerous cervical epithelium lesions.…”
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Clinical profile and predictors of recurrence of first episode of unprovoked seizures in children of the age group 1 month to 12 years by Ambili Susan Jacob, Urmila K.V

“…Conclusions: The study underscores the importance of identifying these predictors for optimizing treatment and monitoring strategies. Close follow-up is recommended for children with identified risk factors to enhance management and improve long-term outcomes.…”
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Modeling the effect of extrusion parameters on density of biomass pellet using artificial neural network by Abedin Zafari, Mohammad Hossein Kianmehr, Rahman Abdolahzadeh

“…Shankar and Bandyopadhyay and Shankar et al. successfully used genetic algorithms and artificial neural networks to understand and optimize an extrusion process. Results: The results showed that a four-layer perceptron network with training algorithm of back propagation, hyperbolic tangential activation function, and Delta training rule with ten neurons in the first hidden layer and four neurons in the second hidden layer had the best performance for the prediction of pellet density. …”
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Removal of Toxic Cr(VI) Ions from Aqueous Solution Using Nano-Hydroxyapatite-Based Chitin and Chitosan Hybrid Composites by G.N. Kousalya, M. Rajiv Gandhi, S. Meenakshi

“…Batch adsorption studies were conducted to optimize various equilibrating conditions such as the contact time, pH and co-ions. …”
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Enhancing Algorithmic Literacy: Experimental Study on Communication Students’ Awareness of Algorithm-Driven News by Jose Manuel Noguera-Vivo, María del Mar Grandío-Pérez

“…Existing scholarship is surveyed to establish the evolving nature of algorithmic literacy, ranging from optimizing search engines to countering misconceptions among digital natives. …”
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Developing and Selecting A Strategy for Interaction with Stakeholders During the Project Life Cycle in Oil Projects by Raman Rezaei

“…Also, the ranking of strategies was done using the fuzzy TOPSIS method, and the findings of solving the mathematical model to select the optimal strategy of interaction with stakeholders showed that the results of the mathematical model are different from the result of multi-criteria decision-making and each strategy can relate to several conflicts Improve stakeholders. …”
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Parallel association rules incremental mining algorithm based on information entropy and genetic algorithm by Yimin MAO, Qianhu DENG, Zhigang CHEN

“…Aiming at the problems that in the big data environment, the Can-tree based incremental association rule algorithm had problems such as too much space occupation of the tree structure, inability to dynamically set the support threshold, and too much time consumption during the data transfer process between the Map and Reduce stages, the Map Reduce-based parallel association rules incremental mining algorithm using information entropy and genetic algorithm (MR-PARIMIEG)was proposed.Firstly, a similar items merging based on information entropy (SIM-IE) was designed to merge similar data items, and a Can tree based on the merged data set was constructed, thereby reducing the space occupation of the tree structure.Secondly, the dynamic support threshold obtaining using genetic algorithm (DST-GA) was proposed to obtain the relatively optimal dynamic support threshold in the big data environment, and frequent itemset mining was performed according to this threshold to avoid the unnecessary time consumption caused by mining redundant frequent patterns.Finally, in the process of MapReduce parallel operation, the parallel LZO data compression algorithm was used to compress the output data of the Map stage, thereby reducing the size of the transmitted data, and finally improving the running speed of the algorithm.Experimental simulation results show that MR-PARIMIEG has better performance when mining frequent item sets in the big data environment, and it is suitable for parallel processing of larger data sets.…”
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PENGGUNAAN BAP DAN TDZ UNTUK PERBANYAKAN TANAMAN GAHARU (Aquilaria malaccensis Lamk.) by Azwin Azwin

“…The objectives of the study were (1) to find out the optimal concentration of BAP or TDZ for inducing shoot multiplication of agarwood in in vitro conditions. …”
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The periodisation of Lithuanian history in the context of social history by Alfredas Bumblauskas

“…Such concepts, related to the political, cultural, and social history, as the Middle Ages, the Early New Ages, the Renaissance, Baroque, and the Age of Enlightenment are under discussion in the article, and the optimal approach to the periodization of the Early History of Lithuania (1009-1795) from the point of view of the history of society is being searched for. …”
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