DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…These approaches have network sparsity and data nonlinearity problems, and they do not even capture the intricate relationships between various information sources. Deep learning approaches like graph autoencoders are utilized to perform anomaly detection through obtaining node embeddings while dealing with the network nonlinearity and sparsity issues. …”
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Unveiling Theranostics: Nanocomplex-Assisted Photodynamic Eradication of Aggressive Cancer Cells and Modulation of Tumor-Associated Macrophages by Butkute A, Kazlauske E, Mlynska A, Peciukaityte E, Karabanovas V, Rotomskis R, Steponkiene S

“…The nanocomplex accumulated efficiently and uniformly across all CRC cell lines, regardless of their aggressiveness or drug sensitivity. …”
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Integrating Artificial Intelligence in urban redesign: A collaborative approach to post-war design phases by I. Alshafei, R. Almashhour

“…The study structure is a literature review and theoretical approach development, data collection, and analysis, depending on multiple sources, including government reports and academic research, as well as hybrid approach development.FINDINGS: The discussion provides theoretical evidence of the potential advances in this empirical approach, highlighting the efficiency improvements achievable by using Artificial Intelligence technologies in a hybrid phased approach that integrates traditional post-war processes with Artificial Intelligence -assisted ones. …”
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Venture philanthropy in rare disease therapy by JA Levine

“…The research explores (i) VP’s impact on financial sustainability, translational efficiency, and clinical advancement; (ii) the structural, operational, and strategic factors influencing VP-funded biotech outcomes; and (iii) the utility of the DACMAR (Disruption, Adoption, Collaboration, Management, Adaptability, and Resource Optimization) framework in optimizing VP investments. …”
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Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm by Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy

“…This study demonstrates LLMs’ transformative potential for traffic control, enhancing efficiency and safety at intersections.…”
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Improving resilience of energy nexus across demand sectors: Strengthening cybersecurity in water cycle and energy networks through data reconstruction using a novel hybrid reinforc... by Daryoush Tavangar Rizi, Mohammad Hassan Nazari, Seyed Hossein Hosseinian

“…Smart farms, serving as models of smart energy hubs (SEHs), are evolving to integrate energy sources such as wind turbines (WTs) and gas network for electrical and thermal demands, alongside water desalination systems to ensure a sustainable freshwater supply. …”
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Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm by Demsew Mitiku Teferra

“…This research presents a comprehensive performance evaluation of an 11-bus, 15 kV radial distribution network in Ethiopia, utilizing particle swarm optimization (PSO) to assess the impact of emerging load prediction models and distributed generation (DG) integration. …”
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Performance of geopolymer paste as adhesive and resin material for bonding fiber externally and hardening reinforcing rebars by Marawan Ashraf Saad, Bassam Abdelsalam Abdelsalam, Omar Mohamed Omar Ibrahim, Hassan A. Mohamadien

“…Nowadays the construction of buildings confronts numerous challenges, environmentally, economically, and structurally efficiently. In addition, the saving of raw sources becomes essentially required especially for the building and construction sector. …”

Insights from Self-Reported Student Experiences on using ChatBots by Alexandra-Iulia PĂUCEAN, Sorana D. BOLBOACĂ

“…Our study aimed to explore if and how medical students utilize chatbots to understand the role of artificial intelligence-powered tools in medical education and their implications for future training and practice. …”
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Sensitivity analysis and optimization of heat transfer in the time-reliant magnetohydrodynamic bioconvective flow of radiative couple-stress hybrid nanofluid through a squeezing ch... by Seetalsmita Samal, Surender Ontela

“…In addition, chemical reactions, heat sources and sinks, radiation, viscous dissipation, and an external magnetic field impact the flow. …”
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Emergy perspective on the environmental and economic viability of a biomass-driven polygeneration system by Parviz Heydari Nasab, Ata Chitsaz, Hiva Rashidzadeh, Alireza Rostamzadeh Khosroshahi

“…For cooling, a double-effect absorption chiller system utilizes the waste heat from the gas turbine, offering superior performance compared to single-effect systems. …”
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Transient Stability Analysis of Wind-Integrated Power Systems via a Kuramoto-like Model Incorporating Node Importance by Min Cheng, Jiawei Yu, Mingkang Wu, Yayao Zhang, Yihua Zhu, Yuanfu Zhu

“…As the global energy structure transitions towards cleaner sources, large-scale integration of wind power has become a trend for modern power systems. …”
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A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…Furthermore, it explores promising trends in multimodal approaches, offering insights into overcoming existing challenges such as data scarcity, model generalization, and computational efficiency. The study emphasizes the importance of integrating diverse data sources to achieve higher diagnostic accuracy and reliability. …”
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Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data by Bappa Roy, Shuma Adhikari, Subir Datta, Kharibam Jilenkumari Devi, Aribam Deleena Devi, Taha Selim Ustun

“…Maximum Power Point Tracking (MPPT) is essential for maximizing the efficiency of solar photovoltaic (PV) systems. While numerous MPPT methods exist, practical implementations often lean towards conventional techniques due to their simplicity. …”
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Electrochemical Storage and Flexibility in Transfer Capacities: Strategies and Uses for Vulnerable Power Grids by Gustavo Adolfo Gómez-Ramírez, Luis García-Santander, José Rodrigo Rojas-Morales, Markel Lazkano-Zubiaga, Carlos Meza

“…The integration of renewable energy sources into electrical power systems presents enormous challenges in technical terms, especially with energy storage. …”
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Valorization of Cork Residues for Biomass Pellet Production: Meeting ENplus^® Standards Through Strategic Blending by Amadeu D. S. Borges, Paulo Matos, Miguel Oliveira

“…These results highlight blending strategies as essential for balancing regulatory compliance, energy efficiency, and waste valorization. Future research should focus on pretreatment methods, alternative biomass sources, and lifecycle assessments to enhance compliance and scalability, promoting sustainable energy solutions and circular economy goals.…”
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Design and Fabrication of a Motorized Honey Extractor. by Hasahya, Caxton Joel

“…This report presented the key aspects and findings of a study focused on designing an electric honey-extracting machine that utilizes centrifugal force to extract honey from honeycombs. …”
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Sustainability and energy self-sufficiency; overcoming the barriers by Rania Abdel Galil

“…If sustainable development is to be realized, if there is to be a universal access to modern energy services and energy self-sufficiency, the share of renewable energy sources and the global rate of improvement in energy efficiency need to intensify, in addition to a strong shift of attitudes and policy towards cleaner choices of energy.…”
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Sequence and taxonomic feature evaluation facilitated the discovery of alcohol oxidases by Yilei Han, Xuwei Ding, Junjian Tan, Yajuan Sun, Yunjiang Duan, Zheng Liu, Gaowei Zheng, Diannan Lu

“…The multi-scale features underpinning catalytic mechanisms and processes, which are scattered across various data sources, have not been sufficiently integrated to be effectively utilized in enzyme mining. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Utilizing advanced information technologies such as big data and artificial intelligence (AI), China has established and implemented the Intelligent Infectious Disease Active Surveillance and Early Warning System. …”
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