Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey by Afroditi Blika, Stefanos Palmos, George Doukas, Vangelis Lamprou, Sotiris Pelekis, Michael Kontoulis, Christos Ntanos, Dimitris Askounis

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Life Pattern-Based Human Attribute Estimation Using Only GPS Data by Kazuyuki Shoji, Haru Terashima, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

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Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance by Dinesh Sahu, Nidhi, Shiv Prakash, Vivek Kumar Pandey, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang

“…Our framework uses Reinforcement Learning/Deep Q-Networks for learning the optimal task offloading policies based network status, battery status, and the tasks’ required processing time. Also, as a novel feature, we implement Adaptive Quality Scaling, which leaned from previous strategies managing AR rendering quality in relation to available energy and available computing capability. …”
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Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…The MobileNetV2 encoder and U-Net architecture extract relevant features from sEMG spectrogram images. Edge computing integration is leveraged to further enhance innovation by enabling real-time processing and decision-making closer to the data source. …”
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Crop simulation models as decision tools to enhance agricultural system productivity and sustainability – a critical review by Koushik Banerjee, Suman Dutta, Sumanta Das, Rahul Sadhukhan

“…This review critically evaluates the utility, simulation processes, datasets, predictability, advantages, and disadvantages of diverse crop simulation modeling approaches. …”
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Development of a cloud-based IoT system for livestock health monitoring using AWS and python by Harini Shree Bhaskaran, Miriam Gordon, Suresh Neethirajan

“…As the number of IoT devices in agriculture proliferates, issues of scalability and computational load have become prominent, necessitating efficient and scalable solutions. …”
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HORIZONTE DE LA SEGURIDAD INFORMÁTICA EN LA ERA DE LA INDUSTRIA 4.0 by John Alexander Rico Franco

“…This new industrial revolution as well as any technological revolutionary trend with high impact for humanity, always areaccompanied by an urgent need to be evaluated and safeguarded with the parameters of today’s computer security, whichmay be limited or insufficient for the ideology of the industry 4.0, this is because the existing IT security activities areinsufficient for such massive, distributed, insecure and critical environment as the proposed by the next generationproduction plants and therefore at the same time the companies must evolve to adopt the native production processes ofthe fourth industrial revolution, the computer security specialists must also develop their concepts, technologies andactivities, to design and manage highly secure production environments aligned with the requirements and vulnerabilitiesof this new industrial generation.The ultimate purpose of this document is to present how current IT security should begin to see the industry 4.0 as its newfield of action, because without a robust technological protection model any deployment of new generation industrialfunctions it would be completely catastrophic for the company that wishes to evolve thanks to the adoption of this newbusiness archetype. …”
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Groundwater for drinking and sustainable agriculture and public health hazards of nitrate: Developmental and sustainability implications for an arid aquifer system by Boualem Bouselsal, Adel Satouh, Johnbosco C. Egbueri, Mofreh A. Hashim, Ahmed A. Arafat, Prabhu Paramasivam, Ali Alzaed, Enas E. Hussein

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Integrated Optics Modules Based Proposal for Quantum Information Processing, Teleportation, QKD, and Quantum Error Correction Employing Photon Angular Momentum by Ivan B. Djordjevic

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OPTIMASI DESAIN SHELL AND TUBE HEAT EXCHANGER TIPE SINGLE SEGMENTAL BAFFLE DENGAN VARIASI JUMLAH BAFFLE DAN POTONGAN BAFFLE MENGGUNAKAN METODE COMPUTATIONAL FLUID DYNAMIC by Ahmed Fajri, Trisma Jaya Saputra, Rany Puspita Dewi

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Associations between COVID-19 Clinical Screening Tools, Rapid Diagnostic Tests and Computed Tomography for Effective Risk Mitigation of COVID-19 in a Private Hospital Setting in Ni... by Victor Ede, Edet Ekeng, Swabirah Sulaiman, Hannatu Sani, Monday Solomon, Timi Oladipo, Ibrahim Wada

“…Hence this study described the process of reviewing, adapting and integrating a novel COVID-19 risk assessment tool and correlation of risk assessment scores with rapid diagnostic test (RDT) and chest computed tomography (CT) findings. …”
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The significance of deep learning techniques in relation to steady-state visually evoked potential- (SSVEP-) based brain-computer interface (BCI) applications is assessed through a systematic review. …”
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Epidemiologic pattern of patients with neurocysticercosis diagnosed by computed tomography in Curitiba, Brazil Perfil epidemiológico de pacientes com neurocisticercose diagnosticad... by Ana Laura Grazziotin, Mariana Campos Fontalvo, Marilis Beckert Feijó Santos, Fernanda Monego, Ana Line Grazziotin, Victor Hugo Zanini Kolinski, Rodrigo Henrique Bordignon, Alexander Welker Biondo, Affonso Antoniuk

“…The aim of this study was to drawn an epidemiological pattern of neurocystisticercosis (NCC) patients diagnosed by computed tomography at the major private diagnostic center in Curitiba, Brazil. …”
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Selective O₂/N₂ Separation Using Grazyne Membranes: A Computational Approach Combining Density Functional Theory and Molecular Dynamics by Adrià Calzada, Francesc Viñes, Pablo Gamallo

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Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the Car... by Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth, Madhu Natarajan, Natalia Pinilla-Echeverri, Shuang Di, Shrikant I Bangdiwala, Karen Mosleh, Omar Ibrahim, Kevin R Bainey, Julian Dobranowski, Maria P Becerra, Katie Sonier, Jon-David Schwalm

“…Objectivehe CarDIA-AI (Coronary computed tomographic angiography to optimize the Diagnostic yield of Invasive Angiography for low-risk patients screened with Artificial Intelligence) study aims to evaluate whether AI-based risk assessment for obstructive CAD implemented within a centralized triage process can optimize the use of ICA in outpatients referred for nonurgent ICA. …”
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Protocol for quantifying muscle fiber size, number, and central nucleation of mouse skeletal muscle cross-sections using Myotally software by Pieter Both, Soochi Kim, Jengmin Kang, Marina Arjona, Daniel I. Benjamin, Christopher W. Nutter, Armon Goshayeshi, Thomas A. Rando

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LEGAL LABYRINTH OF CYBERSPACE – A MAP FOR THE RESPONSIBLE USER by Kamil Martyniak

“…Attacks using it are directed, among others, at systems, data and computer programs, user privacy and intellectual property. …”
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The SmARTR pipeline: A modular workflow for the cinematic rendering of 3D scientific imaging data by Simone Macrì, Nicolas Di-Poï

“…We introduce the SmARTR pipeline (Small Animal Realistic Three-dimensional Rendering), a comprehensive workflow integrating wet lab procedures, 3D data acquisition, and processing to produce photorealistic scientific data through 3D cinematic rendering. …”
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Quantifying Advantages of a Moving Mesh in Nuclear Hydrodynamics by Dillon L. Hasenour, Paul C. Duffell

“…Many astrophysical explosions, such as type Ia supernovae, classical novae, and X-ray bursts, are dominated by thermonuclear runaway. To model these processes accurately, one must evolve nuclear reactions concurrently with hydrodynamics. …”
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