Hybrid CNN–BiLSTM–DNN Approach for Detecting Cybersecurity Threats in IoT Networks by Bright Agbor Agbor, Bliss Utibe-Abasi Stephen, Philip Asuquo, Uduak Onofiok Luke, Victor Anaga

“…Protecting IoT devices from these emerging vulnerabilities has become a critical priority. This study addresses the limitations of existing IoT threat detection methods, which often struggle with the dynamic nature of IoT environments and the growing complexity of cyberattacks. …”
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"Energetics of the outer retina II: Calculation of a spatio-temporal energy budget in retinal pigment epithelium and photoreceptor cells based on quantification of cellular process... by Christina Kiel, Stella Prins, Alexander J E Foss, Philip J Luthert

“…Our data provide insights into vulnerabilities in the aging OR and suggest that diurnal constraints may be important when considering therapeutic interventions to optimize metabolism.…”
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Influencing factors of self-reported near-miss in clinical nursing information system tasks among nurses: a multicenter cross-sectional study by Xingyao Du, Haoning Shi, Ying Peng, Siqi Jiang, Jingyan Song, Chunni Wang, Lin Li, Mingzhao Xiao, Qinghua Zhao, Huanhuan Huang

“…Abstract Background Clinical nursing information systems have certain safety vulnerabilities in the complex interactions of the healthcare environment. …”
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Malignant catatonia in an adolescent with pogo transposable element derived with zinc finger domain (POGZ) gene mutation: case report by Liron Leibovitch, Alon Gorenshtein, Erez Bibi, Ayala Uri

“…The findings emphasise how comprehensive, multidisciplinary approaches remain essential for optimal patient care. Moreover, this case highlights the selective utility of genetic investigation in elucidating potential underpinnings of complex, treatment-resistant malignant catatonia, whilst demonstrating that genetic variants may confer vulnerability rather than direct causation. …”
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Robust design of bicycle infrastructure networks by Christoph Steinacker, Mads Paulsen, Malte Schröder, Jeppe Rich

“…Interestingly, while the more complex optimization models yield better overall welfare results, the improvements over simpler methods are small. …”
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A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks by Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima, Muhammad Arshad, Muhammad Owais, Dina S. M. Hassan, Reem Alkanhel, Mohammed Saleh Ali Muthanna

“…However, the widespread deployment of these devices introduces significant security vulnerabilities due to limited resources and inadequate network protocols. …”
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SECURE VERTEX-EDGE DOMINATION IN HYPERCUBE AND GRID GRAPHS: APPLICATIONS OF CYBERSECURITY IN BANKING FOR SECURE TRANSACTIONS by C. Ruby Sharmila, S. Meenakshi

“…This algorithm efficiently computes the minimum number of security agents required to monitor transaction flows, thus reducing vulnerabilities. This research not only fills a critical gap in existing network security methodologies but also proposes a novel framework for protecting complex networks from evolving cyber threats, thereby advancing the frontier of cybersecurity and mathematical graph theory.…”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…However, this growth has also introduced new vulnerabilities, increasing the risk of cybersecurity attacks. …”
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Proof of Inherent Intelligence Consensus Mechanism Empowering Blockchain-Enabled Transactive Energy by Imran Hussain, Hafiz Ashiq Hussain, Nasim Ullah, Stanislav Misak

“…However, complex optimization problems associated with the decentralized power grid are poorly integrated into the existing blockchain applications. …”
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A Data-Driven Analysis of Engineering Contract Risk Characterization Based on Judicial Cases of Disputes by Yongcheng Zhang, Ziyi Wu, Chaohua Xiong, Jianwei Wang, Maxwell Fordjour Antwi-Afari

“…The study proposes stratified risk mitigation strategies, including governmental regulatory improvements and enterprise-level management optimizations. These findings offer valuable insights into advancing risk governance in construction contract administration, particularly through an enhanced understanding of dispute complexity and systemic vulnerabilities.…”
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An overview on extenders used in ram sperm cryopreservation by Francisco Sevilla, Gerald Muça, Luigj Turmalaj, Miguel A. Silvestre, Ignacio Araya, Anthony Valverde

“…To achieve the best results, this complex process requires the meticulous balance of numerous variables. …”
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RiceChain-Plus: an enhanced framework for blockchain-based rice supply chain systems-ensuring security, privacy, and efficiency by Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, Pattarasinee Bhattarakosol

“…The rice supply chain is a complex system that demands effective management to ensure reliability and efficiency, given the involvement of multiple stakeholders. …”
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Household systematic network analysis for achieving the food-energy-water nexus in South Africa: exploring the relationship between FEW nexus synergies and trade-offs by Thulani Ningi, Amon Taruvinga, Leocadia Zhou, Saul Ngarava

“…Network analysis, similar to the food-energy-water (FEW) nexus, facilitates the understanding of complex interdependencies and supports more effective decision-making. …”
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Collaborative vehicle routing for equitable and effective food allocation in nonprofit settings by Rabiatu Bonku, Faisal Alkaabneh, Lauren Berrings Davis

“…Design/methodology/approach – This study introduces a multiobjective Mixed Integer Programming (MIP) model aimed at addressing the complex challenge of effectively distributing food, particularly for food banks serving vulnerable populations in low-income urban and rural areas. …”
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A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…When faced with malicious requests, the system significantly reduces verification latency to an average of 0.0106 ms, ensuring rapid rejection and preserving network stability, while legitimate requests are processed efficiently with an average latency of 0.4125 ms.Experiments comparing latency-based and random-based relay selection methods across various network configurations (public-public, public-private, private-private) demonstrate that latency-based selection optimizes connection setup times in low-latency environments, while random-based selection provides robust performance in complex network scenarios. …”
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Towards a Universal Security Framework for Darknet Suppression: Conceptual Foundations and Future Prospects by Cheng HUANG, Jianwei DING, Jiapeng ZHAO, Zhouguo CHEN, Jinqiao SHI

“…In addition, these methods for predicting multi-network connections and optimizing trap node deployment improve tracking capabilities in complex environments. …”
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CRISIS, HAZARD, AND DISASTER MANAGEMENT: A STUDY OF REGULATORY FORMULATION AND INSTITUTIONAL COORDINATION by Dwi Tjahja K. Wardhono, Retno Muhardini, Nadhia Shalehanti, Dian Puji Nugraha Simatupang

“…However, in countries where unstructured regulation is unstructured, there are complexities and multiple interpretations of regulations and there are intersections of institutional authority, which creates vulnerabilities in dealing with risk. …”
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Intelligent penetration testing method for power internet of things systems combining ontology knowledge and reinforcement learning. by Shoudao Sun, Yi Lu, Di Wu, Guangyan Zhang

“…Penetration testing, as an essential means of information security protection, is critical for identifying and fixing security vulnerabilities. Given the complexity of power IoT systems and the limitations of traditional manual testing methods, this paper proposes an automated penetration testing method that combines prior knowledge with deep reinforcement learning. …”
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Preferential Cyber Defense for Power Grids by Mohammadamin Moradi, Yang Weng, John Dirkman, Ying-Cheng Lai

“…The resources that can be deployed to protect a power grid are limited, rendering the need to impose preferences and priorities in optimal resource allocation. Due to the complexity of modern power grids, exploitation of machine learning is desired for developing optimal preferential cybersecurity defense strategies, where choosing a suitable mathematical framework to describe preference satisfaction and articulating a specific machine-learning method are key. …”
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Renewable Energy Sources and the New Paradigm in Energy Engineering by Eden Mamut

“…As a consequence, in the new paradigm, the optimization solutions are shifting from compliance with simple objective functions (as minimal cost or minimal impact) towards compliance with complex, dynamic, data driven solutions.…”
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