Freedom of Speech and Expression in the Digital Age: Philosophical Analysis and Social Security Challenges by Tatiana Yu. Lifanova, Sergey A. Lifanov, Alexey V. Verevkin

“…Today’s information space poses new challenges to freedom of expression and freedom of speech associated with digital censorship, the spread of misinformation and algorithmic regulation of content. With society’s growing dependence on digital technologies, there is a need to rethink mechanisms for protecting freedom of expression, especially in the context of social security. …”
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The evolutionary analysis of emerging low frequency HIV-1 CXCR4 using variants through time--an ultra-deep approach. by John Archer, Andrew Rambaut, Bruce E Taillon, P Richard Harrigan, Marilyn Lewis, David L Robertson

“…However, when generated from viral populations current mapping software is inadequate for dealing with the high levels of variation present, resulting in the potential for biased data loss. …”
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Advancements in artificial intelligence transforming medical education: a comprehensive overview by Aliasghar Khakpaki

“…Objective: This narrative review explores the current trends, challenges, and innovations associated with the integration of AI in medical education. …”
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Quantum annealing feature selection on light-weight medical image datasets by Merlin A. Nau, Luca A. Nutricati, Bruno Camino, Paul A. Warburton, Andreas K. Maier

“…Abstract We investigate the use of quantum computing algorithms on real quantum hardware to tackle the computationally intensive task of feature selection for light-weight medical image datasets. …”
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Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits by Bo Nørregaard Jørgensen, Saraswathy Shamini Gunasekaran, Zheng Grace Ma

“…The analysis delves into regulatory barriers such as data protection requirements, algorithmic transparency mandates, and liability concerns that can limit the scope and scale of AI deployment. …”
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Pharmacogenomics in psychiatry: Practice recommendations from an Asian perspective (2024) by Shih Ee Goh, Saumya Shekhar Jamuar, Siew Eng Chua, Derrick Chen Kuan Yeo, Jerome Hern Yee Goh, Chee Hon Chin, Mohamed Zakir Karuvetil, Ee Lian Lee, Daniel Shuen Sheng Fung, Giles Ming Yee Tan

“…Method: A review of recent literature about current evidence and guidelines surrounding pharmacogenomics in psychiatric practice was carried out with particular attention paid to literature evaluating Asian populations. …”
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Multi-Scale Contextual Coding for Human-Machine Vision of Volumetric Medical Images by Jietao Chen, Weijie Chen, Qianjian Xing, Feng Yu

“…Different from the existing 3D convolutional compression algorithms oriented only for human vision, this paper proposes a Multi-scale Contextual Autoencoder (MCAE) architecture that recurrently incorporates anatomical inter-slice context to optimize the compression of the current slice for both human and machine vision. …”
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Dynamic Collaborative Optimization Method for Real-Time Multi-Object Tracking by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…On the MOT17 test set, it achieves 63.7% in HOTA, 61.4 FPS in processing speed, and 79.4% in IDF1, outperforming current state-of-the-art tracking algorithms.…”
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Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Abstract The researchers in the current era provided many new recommendation methodologies. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. …”
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Bayesian compositional generalized linear mixed models for disease prediction using microbiome data by Li Zhang, Xinyan Zhang, Justin M. Leach, A. K. M. F. Rahman, Carrie R. Howell, Nengjun Yi

“…Abstract The primary goal of predictive modeling for compositional microbiome data is to better understand and predict disease susceptibility based on the relative abundance of microbial species. Current approaches in this area often assume a high-dimensional sparse setting, where only a small subset of microbiome features is considered relevant to the outcome. …”
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Self-Sensing of Piezoelectric Micropumps: Gas Bubble Detection by Artificial Intelligence Methods on Limited Embedded Systems by Kristjan Axelsson, Mohammadhossien Sheikhsarraf, Christoph Kutter, Martin Richter

“…This is completed by the implementation of an electronic circuit that amplifies and samples the loading current of the piezoelectric ceramic with a microcontroller STM32G491RE. …”
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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…More widely, this work demonstrates the potential in combining genetic resources with machine learning algorithms to address long-standing challenges in emerging infectious diseases.…”
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A Line Feature-Based Rotation Invariant Method for Pre- and Post-Damage Remote Sensing Image Registration by Yalun Zhao, Derong Chen, Jiulu Gong

“…Then, we design a new method to calculate the main direction of each line segment and rotate the image based on the current line segment’s main direction and the center coordinates. …”
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Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective by E. Melnikova, I. Surov

“…Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. …”
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Navigating ethical minefields: a multi-stakeholder approach to assessing interconnected risks in generative AI using grey DEMATEL by Sridhar Jonnala, Sridhar Jonnala, Nisha Mary Thomas, Nisha Mary Thomas, Sarthak Mishra

“…This study addressed the current gaps in academic work by providing actionable recommendations for risk-mitigation strategies and policy development while highlighting the need for collaborative approaches among stakeholders in the rapidly evolving field of GAI.…”
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Mortality after fluid bolus in children with shock due to sepsis or severe infection: a systematic review and meta-analysis. by Nathan Ford, Sally Hargreaves, Leslie Shanks

“…<h4>Introduction</h4>Sepsis is one of the leading causes of childhood mortality, yet controversy surrounds the current treatment approach. We conducted a systematic review to assess the evidence base for fluid resuscitation in the treatment of children with shock due to sepsis or severe infection.…”
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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

“…Recently, different Machine-Learning (ML) algorithms have been used to model access patterns from complex workloads. …”
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ROBO-ADVISORS AND AI-DRIVEN FUNDS: CATALYSTS IN THE DYNAMIC EVOLUTION OF ASSET MANAGEMENT by Amirul Ammar Anuar, Mohammad Taqiuddin Mohamad, Ahmad Azam Sulaiman @ Mohamad

“…This study aims to comprehend and investigate the presence of AI in Malaysian asset management, its evolution in relation to current traditional practices, and its performance. …”
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Operators of potential type in problems of applied analysis by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Riskalenko, Elena Pavlovna Yartseva

“…Such functions are often encountered in problems of mathematical physics and related numerical models that use these data. In this case the current task is the restoration or construction of the original function by an approximate data, which is solved in the constructive theory of functions and theory of approximations of functions. …”
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