Role of Artificial Intelligence in Minimizing Missed and Undiagnosed Fractures Among Trainee Residents by Sadat-Ali M, Al Omar HK, Alneghaimshi MM, AlHossan AM, Baragabh AM

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THE ROLE OF LEGAL TECHNIQUE IN CONDUCTING ANTI-CORRUPTION EXAMINATION OF THE LEGISLATION OF THE RUSSIAN FEDERATION by Irina Klyukovskaya, Ruslan Melekayev

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Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs by Syed Zain Ul Abideen, Abdul Wahid, Mian Muhammad Kamal

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Genetics of kidney stones and the role of genetic testing in prevention: a guide for urologists by Francesco Pintus, Noemi Giordano, Daniela Francesca Giachino, Giorgia Mandrile

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Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis by Yaling Wang, Peichun HSU, Haiyan Hu, Feng Lin, Xiaokang Wei

“…Previous research indicates that genes abnormally expressed in osteosarcoma are significantly involved in the arachidonic acid (AA) metabolic pathway. However, the role of arachidonic acid metabolism-related genes (AAMRGs) in osteosarcoma prognosis remains unknown. …”
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Comprehensive Analysis of the Role of Metabolic Features in Osteoporosis: A Multi-Omics Analysis by Chang S, Tao W, Shi P, Wu H, Liu H, Xu J, Chen J, Zhu J

“…Finally, three MRGs and one plasma metabolite were selected based on the machine learning algorithm, with AUC of 0.782, 0.714, 0.772 and 0.836, respectively. …”
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The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024) by Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna

“…Based on a comprehensive literature review, this study highlights the critical role of the temporal dimension of facial dynamics in understanding facial expressions and improving the accuracy and robustness of automatic emotion recognition systems (machine-FER). …”
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Role of VATS-US in identifying and characterizing pulmonary nodules: a narrative review by Susana González-Suárez, Susana González-Suárez, Susana González-Suárez, María Grao Roca, Juan-Camilo Vivas, Alberto Jauregui, Alberto Jauregui

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Neuroinflammation and its role in the pathogenesis of attention deficit hyperactivity disorder (literature review) by R. F. Gasanov, I. V. Makarov, D. A. Emelina, A. S. Avtenuk

“…The article discusses the role of inflammatory reactions in the formation of attention deficit hyperactivity disorder (ADHD). …”
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Machine Learning for Predicting Bank Stability: The Role of Income Diversification in European Banking by Karim Farag, Loubna Ali, Noah Cheruiyot Mutai, Rabia Luqman, Ahmed Mahmoud, Nol Krasniqi

“…Conversely, the results also show that the machine-learning algorithms used play a crucial role in enhancing the predictive performance of bank stability.…”
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Unraveling the Reshaping of Human Resource Management Function: the mediating role of artificial intelligence by Samuel Bangura, Anos Chitamba Chitamba, Lucia Zithobile Ngidi, Sizwe Mbona

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A Novel Search Algorithm and Scan Time Estimation in Airborne Ground Penetrating Radar Using Cell Footprint Meshing by Morteza Kazerooni, Ehsan Shahroosvand

“…By categorizing the target area into surface, subsurface, and return cells based on signal reception characteristics, the algorithm aligns search patterns (row-wise or column-wise) with the derived cell configurations and dimensions. …”
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Exploring the role of repetitive negative thinking in the transdiagnostic context of depression and anxiety in children by Kuiliang Li, Lei Ren, Xiao Li, Chang Liu, Xuejiao Tan, Ming Ji, Xi Luo

“…Conclusion RNT, particularly its core features, may play an important transdiagnostic role in the co-occurrence of depression and anxiety symptoms in children. …”
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The role of fMRI in the mind decoding process in adults: a systematic review by Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri, Khaled Majed Bamusa, Ziyad Faiz Almalki, Sultan Alamri, Ahmad Joman Alghamdi, Mohammed Alhazmi, Hamid Osman, Mayeen U. Khandaker

“…Studies were selected based on strict inclusion and exclusion criteria: peer-reviewed; published between 2000 and 2024 (in English); focused on adults; investigated mind-reading (mental state decoding, brain-computer interfaces) or related processes; and employed various mind-reading techniques (pattern classification, multivariate analysis, decoding algorithms). …”
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Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review by Vuyani M. N. Dladla, Bonginkosi A. Thango

“…In this paper, a systematic literature review (SLR) is conducted using the Preferred Reporting Items for Systematic Reviews (PRISMA) framework to record and screen current research work pertaining to the application of machine learning algorithms for DGA-based transformer fault classification. …”
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An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions by Leonid Nikolaevich Kazakov, Evgenii Pavlovich Kubyshkin, Ilya Victorovich Lukyanov

“…Research in the field of efficient frequency estimation algorithms is of great interest. The reason for this is the redistribution of the role of additive and phase noise in many modern radio-engineering applications. …”
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Application of Harris Hawks Optimization Algorithm in Optimization of Generalized Nonlinear Muskingum Parameters ——A Case Study of the Luohe River by CHEN Haitao, ZHAO Zhijie

“…The Muskingum model plays an important role in river flood simulation,and its simulation accuracy relies on the optimal selection of parameters.To address the current challenges in parameter calibration for the Muskingum model,such as complex solution processes and low accuracy,the use of the Harris Hawks optimization (HHO) algorithm was proposed to optimize its parameters.HHO algorithm has a wide range of global search capabilities,with fewer parameters to be adjusted.Taking Luohe River,a tributary of the Yellow River,as the research object,the generalized nonlinear Muskingum model was used to simulate the flood in the Yiyang-Baimasi section of the river.The parameters were optimized by employing the HHO algorithm,particle swarm optimization (PSO) algorithm,and ant colony optimization (ACO) algorithm,respectively.The results show that the generalized nonlinear Muskingum model based on the HHO algorithm achieved high simulation accuracy in the Yiyang-Baimasi section of the Luohe River,with a Min.SSD of 1 237 and the flood peak error (DPO) of only 5,outperforming those obtained through optimization using PSO algorithm and ACO algorithm.The results are suitable for application in flood forecasting in the Yiyang-Baimasi section of the Luohe River.…”
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An Extensive Analysis of Power Quality Improvement in a Three-Stage 15-Level Inverter Using Various ANN Algorithms by K. Sakthivel, S. Albert Alexander

“…The performance of multilevel inverters (MLIs) in microgrids plays a vital role in managing daily fluctuations in power demand and supporting the reliable operation of renewable energy sources (RES). …”
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An intelligent hybrid approach combining fuzzy C-means and the sperm whale algorithm for cyber attack detection in IoT networks by E. I. Elsedimy, Sara M. M. AboHashish

“…This paper presents an intelligent approach for detecting cyberattacks and mitigating malicious events in IoT-based smart systems. The proposed approach, known as FCM-SWA, hybridizes a fuzzy C-mean (FCM) with a sperm whale algorithm (SWA). …”
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Bi-objective green supply chain network design under disruption risk through an extended NSGA-II algorithm by Xiaoqing Wang, Gang Chen, Song Xu

“…The extended algorithm is considered to combine original NSGA-II algorithm with the migration operation of the biogeography-based optimization (BBO) algorithm, thus leading to enrich the diversity of the population and improve the ability of global searching. …”
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