A “giant bomb” in acute myocardial infarction due to coronary artery aneurysm: a case report by Jin Chen, Wei Du, Jianyu Jiang, Liugang Xu, Liugang Xu

“…The novel pathomechanism of intra-aneurysmal thrombosis secondary to pathological flow dynamics—characterized by endothelial shear stress perturbation and blood stasis—has been rarely documented. While existing literature describes therapeutic applications of surgical repair, percutaneous intervention, and pharmacotherapy in coronary artery aneurysm management, no consensus-driven protocol has been established, reflecting critical knowledge gaps in risk-stratified treatment algorithms for thrombus-laden aneurysms.Case outlineA 51-year-old female presenting with acute ST-segment elevation myocardial infarction underwent emergency coronary angiography, revealing a large right coronary artery aneurysm with significant intra-aneurysmal thrombus burden. …”
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Monitoring the antibiotic resistance in the intensive care unit of a multidisciplinary hospital by V. Yu. Zemko, V. K. Okulich, A. M. Dzyadz’ko

“…It is necessary to monitor the resistance of common microorganisms to certain antibiotics in order to develop algorithms for rational antibacterial treatment in each hospital.…”
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Cropping and Transformation Features of Non-Grain Cropland in Mainland China and Policy Implications by Yizhu Liu, Ge Shen, Tingting He

“…The parcels that were transferred into forest or grassland mainly appeared in southern and Inner Mongolia, respectively, while the parcels in northern and central areas mostly continued cropping. …”
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Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine by F. Khammar, N. E. Debbache

“…The results of the different simulation tests highlight the properties of robustness of algorithms proposed and suggested to compare the different control strategies.…”
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Interest-Rate Products Pricing Problems with Uncertain Jump Processes by Yiyao Sun, Shiqin Liu

“…For this reason, numerical algorithms are designed by using the formulas in order to compute the prices of these structured products. …”
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When Machine and Human Meet. Art in the Age of Artificial Intelligence by Sylwia Szykowna

“…The cited historical examples of aesthetic reflection accompanying computer art of the 1960s largely anticipated the changes taking place today, while also serving an important metacritical function. …”
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Computer System For Diagnostics of Mobile Machinery Transmission by G. L. Antipenko, A. N. Maximenko, B. M. Morgalik

“…As data are supplied registration and processing of results and forecasting of residual resource are to be done with the help of a program on the basis of realized algorithms for every gearing.…”
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Artificial Intelligence in Social Media by Azwar M.Q. Agha

“…In addition, the review discusses ethical concerns, including data privacy, algorithmic bias, and the potential for misinformation dissemination. …”
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A QoS-based network planning method for power fiber to the home by Shuai SHAO, Zhijun SHANG, Zhongfeng WANG, Guoliang XIN, Yueyue LI, Xiangyu KONG, Xujing PENG

“…A QoS-based network planning method for power fiber to the home was proposed.Firstly,the distribution structure of different buildings was combined to carry out targeted ODN line path design.Secondly,in the ONU packet cluster planning stage,in order to meet the QoS requirements of multi-service differentiation,the communication cost as the optimization goal was uesd,and the optimization problem model was established with the constraints of access capacity,reliability and delay.At the same time,intelligent algorithms were used to solve the optimization problem model.Finally,the optical path attenuation of the planned network was calculated to meet the actual application needs.The simulation results show that the proposed QoS-based network planning method for power fiber to the home can save network construction cost while ensuring service reliability and delay requirements.…”
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Energy-Efficiency Maximization in Backscatter Communication-Based Non-Orthogonal Multiple Access System: Dinkelbach and Successive Convex Approximation Approaches by Dingjia Lin, Tianqi Wang, Kaidi Wang, Zhiguo Ding

“…Simulation results indicate that the combination of the sum-capacity approach and Dinkelbach yields the best performance, though at the highest complexity, while the amalgamation of QR decomposition and SCA offers the lowest performance but with minimal complexity.…”
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Bias and Variance Analysis of Contemporary Symbolic Regression Methods by Lukas Kammerer, Gabriel Kronberger, Stephan Winkler

“…We measure the bias and variance of algorithms and show how algorithms like Operon and GP-GOMEA return highly accurate models with similar behavior despite changes in training data. …”
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Prediction of postoperative vault after implantable collamer lens implantation with deep learning by Dong-Qing Yuan, Fu-Nan Tang, Ying Wang, Hui Zhang, Wei-Wei Zhang, Liu-Wei Gu, Qing-Huai Liu

“…AIM: To predict the post-operative vault and the suitable size of the implantable collamer lens (ICL) by comparing the performance of multiple artificial intelligence (AI) algorithms. METHODS: A retrospective analysis of 83 patients with 132 eyes was conducted from 2020 to 2023. …”
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A Systematic Survey of Sparse Clustering by Josephine Bernadette M. Benjamin, Miin-Shen Yang

“…Feature selection and feature reduction algorithms have been proposed to process the data. In this paper, we review sparse clustering approaches that aim to cluster data sets while selecting and removing redundant and irrelevant features as well as noisy points and outliers. …”
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The OPS-SAT benchmark for detecting anomalies in satellite telemetry by Bogdan Ruszczak, Krzysztof Kotowski, David Evans, Jakub Nalepa

“…The dataset is accompanied with the baseline results obtained using 30 supervised and unsupervised classic and deep machine learning algorithms. They were evaluated using the training-test dataset split introduced in this work, and we suggest a set of quality metrics which should be calculated to confront the new algorithms for anomaly detection while exploiting OPSSAT-AD. …”
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On multivariate polynomials achievable with quantum signal processing by Lorenzo Laneve, Stefan Wolf

“…Quantum signal processing (QSP) is a framework which was proven to unify and simplify a large number of known quantum algorithms, as well as discovering new ones. QSP allows one to transform a signal embedded in a given unitary using polynomials. …”
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A better-performing Q-learning game-theoretic distributed routing for underwater wireless sensor networks by Sungwook Kim

“…In this study, we focus on the development of novel routing algorithms to tackle acoustic transmission problems in underwater sensor networks. …”
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Blockchain based solid waste classification with AI powered tracking and IoT integration by Aliaa M. Alabdali

“…Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. …”
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A multivariate analysis of the early dropout using classical machine learning and local interpretable model-agnostic explanations by Thanh Hai Nguyen, Phuong Le, Tuyen Thanh Thi Nguyen, Anh Kim Su

“…This study aims to predict student dropout rates using classical machine learning algorithms while analyzing the key factors influencing these outcomes in higher education. …”
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Artificial intelligence in healthcare: A focus on the best practices by Haddiya Intissar, Ramdani Sara

“…However, alongside this potential, challenges and ethical considerations remain. Data privacy, algorithmic bias, transparency of AI decision-making, and responsible use are crucial areas that require careful attention. …”
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Network security systems by M. A. Ganzhur, A. I. Bryukhovetsky

“…Some networks are private while others are open to the public. Whether your network is private or public, it must be well secured and secure. …”
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