Vortex generators in heat sinks: Design, optimisation, applications and future trends by Mohammad Ismail, Abdullah Masoud Ali, Sol-Carolina Costa Pereira

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Hybrid Steepest-Descent Methods for Triple Hierarchical Variational Inequalities by L. C. Ceng, A. Latif, C. F. Wen, A. E. Al-Mazrooei

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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

“…It is believed that with the continuous optimization of algorithms and the improvement of computing power, DRL will play a more important role in the field of quantitative trading in financial market, providing more accurate and reliable support for investment decisions.…”
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Economic and Sensitivity Analyses of Controllable Queues With Customer Feedback and Impatience Using Markovian Modeling by Shreekant Varshney, Mankumar Acharya, Zala Jenishkumar Kanjibhai, Mukesh Pushkarna, Walid El-Shafai, Ievgen Zaitsev

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Sustainable Development in the Digital Age: Harnessing Emerging Digital Technologies to Catalyze Global SDG Achievement by Claudiu George Bocean

“…This research explores the transformative potential of cutting-edge digital technologies—including artificial intelligence, big data analytics, cloud computing, and the Internet of Things—in fostering sustainable development across economic, social, and environmental dimensions. …”
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Implementing the Galerkin Method Associated with the Shifted Vieta-Lucas Polynomials for Studying Numerically the Bionanofluid Flow Which Is Saturated by Gyrotactic Microorganisms... by M. M. Khader, M. M. Babatin, Ahmed M. Megahed, A. Eid

“…The suggested system will be converted to a computationally tractable form using the Galerkin method. …”
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Wafer-scale integration of freestanding photonic devices with color centers in silicon carbide by Sridhar Majety, Victoria A. Norman, Pranta Saha, Alex H. Rubin, Scott Dhuey, Marina Radulaski

“…Abstract Color center platforms have been at the forefront of quantum nanophotonics for applications in quantum networking, computing, and sensing. However, large-scale deployment of this technology has been stifled by a lack of ability to integrate photonic devices at scale while maintaining the properties of quantum emitters. …”
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A Chaotic Disturbance Wolf Pack Algorithm for Solving Ultrahigh-Dimensional Complex Functions by Qiming Zhu, Husheng Wu, Na Li, Jinqiang Hu

“…Wolf pack algorithm is a technique often used for computing the global optimum of a multivariable function. …”
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Sports Big Data: Management, Analysis, Applications, and Challenges by Zhongbo Bai, Xiaomei Bai

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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

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Effect of the Bracing System on the Probability of Collapse of Steel Structures under Maximum Credible Earthquake by Alireza Kianmehr

“…This behavioral difference caused this study to be numerically computing for five frames, including unique concentric and eccentric bracing frames of 5 and 10 stories and an ordinary 5-story concentric bracing frame. …”
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Cybersecurity Infrastructure Compliance Key Factors to Detect and Mitigate Malware Attacks in SMEs: A Systematic Literature Review by Adnan Bin Amanat Ali, Ramesh Kumar Ayyasamy, Rehan Akbar, Abdulkarim Kanaan Jebna, Kiran Adnan

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Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework by Yan Zhou, Dongli Wang, Tingrui Pei, Yonghong Lan

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GABAergic neurons in the ventral tegmental area represent and regulate force vectors by Qiaochu Jiang, Konstantin I. Bakhurin, Ryan N. Hughes, Bryan Lu, Shaolin Ruan, Henry H. Yin

“…Previous work has suggested that VTA GABA neurons provide a reward prediction signal, which is used in computing a reward prediction error. In this study, by using in vivo electrophysiology and continuous quantification of force exertion in head-fixed mice, we identify distinct populations of VTA GABA neurons that exhibit precise force tuning independently of learning, reward prediction, and outcome valence. …”
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A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty by Yindong Shen, Wenliang Xie, Jingpeng Li

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Fast Mumford-Shah Two-Phase Image Segmentation Using Proximal Splitting Scheme by Nilima Shah, Dhanesh Patel, Pasi Fränti

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Testing Homogeneity in a Semiparametric Two-Sample Problem by Yukun Liu, Pengfei Li, Yuejiao Fu

“…Under the semiparametric assumption g(x)=f(x)eα+βx, a penalized empirical likelihood ratio test could be constructed, but its implementation is hindered by the fact that there is neither feasible algorithm for computing the test statistic nor available research results on its theoretical properties. …”
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Analysis of Seismic Damage of Underground Powerhouse Structure of Hydropower Plants Based on Dynamic Contact Force Method by Yang Yang, Juntao Chen, Ming Xiao

“…This algorithm and a 3D plastic-damage model were implemented in a dynamic computing platform, SUCED, to analyze the dynamic characteristics of the underground powerhouse structure of Yingxiuwan Hydropower Plant. …”
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Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model by Khadijeh Javan

“…The daily precipitation data at each station were classified into the wet and dry state and the fitness of first order Markov chain on data series was examined using Chi-square test at a significance level of 0.01 and was approved. After computing transition probability matrix, the persistent probability, average spell of dry days and rainy days and weather cycle was calculated. …”
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Minimum Flexural Reinforcement Steel Ratios of High-Strength Concrete Beams by Ameer M. Salih, Azad A. Mohammed

“…The findings suggest that, in addition to the yielding strength of the reinforcements and the compressive strength of the concrete, the depth of the beams should be considered when computing the minimum flexural reinforcement of beams.…”
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