Employing Efficient Algorithms to Reduce the Distance Traveled in Location-Routing Problems Considering Travel and Service by Amir-Mohammad Golmohammadi, Alireza Goli, Hasan Rasay

“…Moreover, to approximate the model to real-world conditions as much as possible, the 'time window' concept is employed to determine the maximum allowable time for the distribution of goods.Findings: Three metaheuristic algorithms, including NSGA-II, PAES, and MOICA, are used to solve the proposed model. …”
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Mathematical Analysis of the Transmission Dynamics of Skin Cancer Caused by UV Radiation by Tahera Parvin, Md. Haider Ali Biswas, Bimal Kumar Datta

“…The boundedness and positivity gave the solutions of our model bounded and positive, which was very important for real-world situation because in real world, population cannot be negative. …”
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Collaborative Strategies in Authentic Assessment: Addressing Opportunities and Challenges in Post-Pandemic Indonesia by Ni Komang Sri Mariati

“…The transformation of learning in the post-pandemic era has heightened the demand for students’ skills in navigating real-world situations. This phenomenon necessitates both teachers and students to optimally prepare for the learning process, with authentic assessment serving as a strategic approach to address these challenges. …”
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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…Purpose: In many real-world optimization problems, we are facing uncertainties in parameters describing the problem. …”
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TXtreme: transformer-based extreme value prediction framework for time series forecasting by Hemant Yadav, Amit Thakkar

“…Abstract Time Series Forecasting (TSF) is crucial in various real-world applications such as climate forecasting and electricity demand prediction. …”
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Spatial-temporal initialization dilemma: towards realistic visual tracking by Chang Liu, Yongsheng Yuan, Xin Chen, Huchuan Lu, Dong Wang

“…However, in real-world applications, a tracker is often initialized by user annotations or an object detector, which may provide rough and inaccurate initialization. …”
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Study on the reliability of hypergraphs based on non-backtracking matrix centrality by Hao PENG, Cheng QIAN, Dandan ZHAO, Ming ZHONG, Jianmin HAN, Ziyi XIE, Wei WANG

“…In recent years, there has been widespread attention on hypergraphs as a research hotspot in network science.The unique structure of hypergraphs, which differs from traditional graphs, is characterized by hyperedges that can connect multiple nodes simultaneously, resulting in more complex and higher-order relationships.Effectively identifying important nodes and hyperedges in such network structures poses a key challenge.Eigenvector centrality, a common metric, has limitations in its application due to its locality when dealing with hub nodes with extremely high degree values in the network.To address this issue, the hypergraphs were transformed into their corresponding line graphs, and non-backtracking matrix centrality was employed as a method to measure the importance of hyperedges.This approach demonstrated better uniformity and differentiation in assessing the importance of hyperedges.Furthermore, the application of both eigenvector centrality and non-backtracking matrix centrality in assessing the importance of nodes in hypergraphs was explored.Comparative analysis revealed that non-backtracking matrix centrality effectively distinguished the importance of nodes.This research encompassed theoretical analysis, model construction, and empirical studies on real-world data.To validate the proposed method and conclusion, six real-world hypergraphs were selected as experimental subjects.The application of these methods to these hypergraphs confirmed the effectiveness of non-backtracking matrix centrality in identifying important nodes and hyperedges.The findings of this research offer a fresh perspective and approach for identifying key elements in hypergraphs, holding significant theoretical and practical implications for understanding and analyzing complex network systems.…”
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Bringing Motor Imagery BCI systems outside of the laboratory into daily activities by Sonal Santosh Baberwal, Shirley Coyle

“…This research aims to bridge the gap between laboratory and real-world applications by addressing key challenges at every stage, across the MI-BCI pipeline. …”
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An exploration of machine learning approaches for early Autism Spectrum Disorder detection by Nawshin Haque, Tania Islam, Md Erfan

“…Furthermore, all algorithms achieved 100% accuracy on the children (age 4–11) dataset collected from real-world sources. Logistic Regression, Random Forest, Support Vector Classifier, and Decision Tree attained 100% accuracy and mIoU with the real-world dataset. …”
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Is there a risk of esketamine misuse in clinical practice? by Carlos Roncero, Milton Merizalde-Torres, Néstor Szerman, Marta Torrens, Pablo Vega, Pilar Andres-Olivera, Francisco Javier Álvarez

“…Both clinical trials and real-world studies have underscored its efficacy in alleviating and remitting depressive symptoms, with sustained benefits observed for nearly 4.5 years. …”
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A Process Model for the Implementation of Blockchain-Based Systems by Muhammad Nasim Bahar, Michal Ries, Kristian Kostal

“…This dual contribution of a novel process model, functional prototype, real-world use case, and user feedback significantly enriches the knowledge of blockchain adoption strategies. …”
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Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet by Ye Lu, Ke-dong Zhou, Peng-han Gong, Bing Li

“…Then, the ADEMW is employed to process the real-world signals acquired from a firing shock force testing system. …”
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A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction by Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao

“…The findings presented in this work contribute to the advancement of traffic prediction methods, offering valuable insights for further research and application in addressing real-world transportation challenges.…”
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An enhanced dung beetle optimizer with multiple strategies for robot path planning by Wei Hu, Qi Zhang, Shan Ye

“…Finally, the proposed algorithm is applied to solve the real-world robot path planning engineering cases, to demonstrate its effectiveness in dealing with real optimization engineering cases, which further verified how noteworthy the enhanced strategy’s efficacy and the enhanced algorithm’s superiority are in addressing real-world engineering cases.…”
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SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs by Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf

“…The performance results demonstrate the suitability of the solution for large attributed graphs in real-world settings.…”
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Preparing future psychologists to develop motivational systems by P. Bleshmudt

“…The key findings demonstrated that practical involvement in real-world settings, such as medical clinics, significantly enhances trainees’ understanding and ability to develop effective motivational systems. …”
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Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review by Yanzhao Yang, Jian Wang, Xinyu Guo, Xinyu Yang, Wei Qin

“…It also proposes future directions to bridge the gap between simulated and real-world data, aiming to optimize hybrid training models for improved autonomous driving applications.…”
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No Apparent Workup for most new Indeterminate Pulmonary Nodules in US Commercially-Insured Patients by Bruce S. Pyenson, Carol M. Bazell, Michael J. Bellanich, Melissa A. Caplen, Javier J. Zulueta

“…However, the cost and pattern of subsequent IPN workup have not been described for real-world settings. **Objectives:** To examine the pattern and cost of IPN workup in real-world practice using insurer administrative claims data for commercially-insured individuals. …”
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Bringing metal-organic frameworks to commercialization

“…Here he offers his insight on transitioning to industry, what businesses consider in commercial deployment, and suggestions to make research more applicable to the real world.…”
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Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering by Xu Chen, Bin Xu, Kunjie Yu, Wenli Du

“…Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems.…”
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