Risk Management and Optimization of Artificial Intelligence in E-Commerce Personalization Systems by Ao Ting Liang

“…E-commerce has become the dominant marketplace, offering consumers a highly personalized shopping experience driven by AI-powered recommendation systems. While these systems enhance efficiency and targeting, they also raise significant concerns regarding data privacy, algorithmic biases, and user experience. …”
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A dynamic cobweb resistance network solution based on a structured zeroing neural network and its applications by Xiaoyu Jiang, Dexin Meng, Yanpeng Zheng, Zhaolin Jiang

“…Subsequently, theoretical analyses validate the model’s global exponential convergence, while numerical simulation results further corroborate its convergence and accuracy. …”
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Load balancing for high performance computing using quantum annealing by Omer Rathore, Alastair Basden, Nicholas Chancellor, Halim Kusumaatmaja

“…While the methodology for obtaining real simulation data to partition is application specific, the proposed balancing protocol itself remains completely general. …”
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Generalizing the matching decoder for the Chamon code by Zohar Schwartzman-Nowik, Benjamin J. Brown

“…To achieve the full potential of a code, we must develop practical decoding algorithms that can correct errors that have occurred with high likelihood. …”
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Hypertension: smoking or quit. Clinical difficulties by N. V. Korneeva, E. S. Gavrilov

“…Knowledge of algorithms for working with smoking patients and methods of non-drug support can help practitioners supporting such patients at the stage of smoking cessation.…”
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Crust: A Modular Framework for Conflict-Free Replicated Data Types (CRDTs) Development, Validation, and Benchmarking by Yunrui Zhu, Jing Ma

“…Conflict-free Replicated Data Types (CRDTs) are vital for achieving strong eventual consistency in distributed systems, but their development and evaluation face significant challenges by inadequate tooling. While CRDT research focus on algorithms and applications, critical gaps persist in validation and performance benchmarking. …”
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Research on Credit Risk Prevention in Supply Chain Finance Driven by Blockchain by Lin Kejing

“…It will also detail the principles and characteristics of blockchain technology, including its decentralized architecture, encryption algorithms, resistance to tampering, smart contract functionalities, and more. …”
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AI-Enabled Ant-Routing Protocol to Secure Communication in Flying Networks by Sadoon Hussain, Ahmed Sami, Abida Thasin, Redhwan M. A. Saad

“…In simulation results, AntHocNet shows better results in comparison with other contemporary routing algorithms. Pheromone update process is used for data encryption in AntHocNet. …”
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Envisioning Archival Images with Artificial Intelligence by Jessica Bushey

“…Projects like CAMPI and the Finnish Wartime Photograph Archive illustrate the practical benefits of AI, while emphasizing the need for archivists to develop AI and visual literacy. …”
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Tutors' perceptions of ICTs in promoting computational thinking among pre-service teachers in Tanzanian colleges by Vicky Mrosso, Placidius Ndibalema, Abdon Ephrem

“…The findings revealed that tutors dominantly perceive CT as a digital literacy skill while ignoring the cognitive processes that underlie CT skills such as abstraction, algorithmic thinking, decomposition, and pattern recognition. …”
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Injustice épistémique et démocratie délibérative à l’ère du numérique : l’envers du mouvement #BalanceTaStartUp by Coline Sénac

“…I point out that anonymity, while allowing victims to share their experiences, becomes a weapon for online trolls and detractors, seeking to discredit these testimonies. …”
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Vibration-based gait analysis via instrumented buildings by Ellis Kessler, Vijaya VN Sriram Malladi, Pablo A Tarazaga

“…Signal-energy-based algorithms detect the heel strike of each step during trials. …”
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Mass Collection of Workers’ Data in Warehouse Facilities: Reflections on Privacy and Workforce Well-being by Thomas De Lombaert, Arpan Rijal, Robert Costrasal, Michele Molè

“…Warehouses with complex monitoring and algorithmic management policies are rapidly expanding across the EU. …”
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Networks in Coronary Heart Disease Genetics As a Step towards Systems Epidemiology. by Fotios Drenos, Enzo Grossi, Massimo Buscema, Steve E Humphries

“…The constructed map suggests that most selected variables were related to CHD in a context dependent manner while only a small number of variables were related to a specific outcome. …”
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AI-enabled individual entrepreneurship theory: redefining scale, capability, and sustainability in the digital age by Venkat Ram Reddy Ganuthula

“…Prioritizing sustainability, AIET aligns with SDGs, such as economic inclusion (SDG 8) and resource efficiency (SDG 12), fostering resilient innovation. While promising, AIET acknowledges limitations, such as ethical risks (e.g., algorithmic bias) and regional access disparities, urging further cross-cultural research. …”
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Exploring the Impact of Predictive Analytics and AI in STEM Education by Tai Ki Kim

“…However, ethical concerns regarding data privacy, algorithmic bias, and equitable access must be addressed to ensure all students benefit from these innovations. …”
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Future projection of East Asian atmospheric rivers in high-resolution climate models by Yeeun Kwon, Seok-Woo Son

“…Atmospheric rivers (ARs) play a critical role in extreme precipitation in East Asia during the East Asian summer monsoon. While ARs are projected to increase in a warming climate, their regional changes in East Asia remain unclear partly due to the use of relatively coarse models. …”
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Is the concept of mammalian epigenetic clocks universal and applicable to invertebrates? by Ryszard Maleszka

“…Certain aspects of animal ageing can be quantified using molecular clocks or machine learning algorithms that are trained on specific omics data, with epigenetic clocks based on DNA methylation (DNAm) garnering the most attention. …”
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Investigation into the Performance Enhancement and Configuration Paradigm of Partially Integrated RL-MPC System by Wanqi Guo, Shigeyuki Tateno

“…The improvement of the partially integrated reinforcement learning-model predictive control (RL-MPC) system is developed in the paper by introducing the Deep Deterministic Policy Gradient (DDPG) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. This framework differs from the traditional ones, which completely substitute the MPC prediction model; instead, an RL agent refines predictions through feedback correction and thus maintains interpretability while improving robustness. …”
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Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches by Hong Yang, Li Jiang

“…Brain–computer interfaces (BCIs) have seen increasingly fast growth under the help from AI, algorithms, and cloud computing. While providing great benefits for both medical and educational purposes, BCIs involve processing of neural data which are uniquely sensitive due to their most intimate nature, posing unique risks and ethical concerns especially related to privacy and safe control of our neural data. …”
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