Burden of associated comorbidities in autoimmune rheumatic diseases in Indian population: An interim report based on the Indian rheumatology association database by S Chandrashekara, Padmanabha Shenoy, Uma Kumar, Sapan Pandya, Alakendu Ghosh

“…The patients were broadly classified into five based on diagnosed AIRDS namely rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), seronegative spondyloarthropathy (SpA), psoriasis arthritis (PsA), and scleroderma. …”
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Numerical Investigation on Bubble Growth and Sliding Process of Subcooled Flow Boiling in Narrow Rectangular Channel by De-wen Yuan, Zejun Xiao, Deqi Chen, Yunke Zhong, Xiao Yan, Jianjun Xu, Yanping Huang

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Impact of Static Electric Field on Dielectrophoretic Alignment of Silicon Nanowires by Lia Hong, Doheon Koo, Hosan Shin, Suyeon Choi, Hongyun So, Jae Byung Park, Woosung Park, Jeeyoung Shin

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Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens by Relu Cocoș, Bogdan Ovidiu Popescu

“…Recent advances in multi-omics data, coupled with systems genetics, have significantly refined our understanding of how these data impact neurodegenerative disease mechanisms. …”
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ENHANCING THE SMALL RUMINANT VALUE CHAIN USING SWOT ANALYSIS IN MAFRAQ GOVERNORATE, JORDAN by R. Awad, A Mohamed-Brahmi, H. Titi, M. Jaouad, A. Gasmi-Boubaker

“…Although 45.51% of farmers expressed interest in expanding their production systems, they faced challenges such as limited access to inputs, ineffective production management, and inadequate marketing infrastructure, all of which adversely impacted productivity and income. …”
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Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

“…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
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School Leadership and Management in the Age of Artificial Intelligence (AI): Recent Developments and Future Prospects by Turgut Karakose, Tijen Tülübaş

“…With the advent of Artificial Intelligence (AI), it has become possible to invent computer systems that can perform human-like processes to tackle large data and solve complex problems. …”

Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review by Nafizul Alam, Sk Hasan, Gazi Abdullah Mashud, Subodh Bhujel

“…By categorizing the studies based on robot-assisted joints, sensor systems, and control methodologies, we offer a comprehensive overview of neural network applications in this field. …”
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Educational inequalities in the prevalence of vision impairment among older adults in India: A decomposition analysis by Rakesh Chandra, Satyam Kumar Rai, Aditya Singh

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Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

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Novel thermodynamic model for simulation of hydrogen/diesel fueled PCCI engine by Ghasem Jalivar, Elaheh Neshat

“…The validation and verification results demonstrate the model's high accuracy and reliability, making it suitable for control applications of hydrogen/diesel dual-fuel PCCI combustion and a powerful tool for researching and developing hybrid systems, including PCCI engines, as environmentally friendly systems.…”
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Effect of temperature cycles on the sleep-like state in Hydra vulgaris by Aya Sato, Manabu Sekiguchi, Koga Nakada, Taishi Yoshii, Taichi Q. Itoh

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Subtractive and Additive Technologies in Fixed Dental Restoration: A Systematic Review by Rafal Kareem Rasheed, Nidhal Sahib Mansoor, Nihad Hasan Mohammed, Syed Saad B Qasim

“…According to the review, several digital technologies, such as systems of computer aided design and aided manufacturing were used in different dental specialties. …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…Despite these advancements, challenges remain such as data privacy, interoperability of diverse systems, and the computational demands of processing large-scale data. …”
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Damage-tolerant mechanical metamaterials designed by fail-safe topology optimization by Yukun Zheng, Wenke Qiu, Xuxi Liu, Zhou Huang, Liang Xia

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Common-Mode Impedance Stabilizing Device Applied to the Output of Railroad Traction Inverters in the Evaluation of Conductive Emissions by Satoru Hatsukade, Keiji Wada

“…” The balises are installed on railroad tracks and used for communication between trains and wayside systems, and electromagnetic compatibility between rolling stock and the balises are severe problem. …”
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Mapping fruit tree dynamics using phenological metrics from optimal Sentinel-2 data and Deep Neural Network by Yingisani Chabalala, Elhadi Adam, Mahlatse Kganyago

“…However, the heterogeneity and complexity of the study area—composed of smallholder mixed cropping systems with overlapping spectra—constituted an obstacle to the application of optical pixel-based classification using machine learning (ML) classifiers. …”
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Building an Organizational and Economic Mechanism for the Development of Woodworking Enterprises by Oksana Agres, Oksana Sadura, Nazariy Popadynets

“…They emphasize that implementing modern management systems, optimizing financial resources, modernizing technology, and adapting marketing strategies drive high performance in a dynamic market. …”
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Sex Differences in the Renal Vascular Responses of AT1 and Mas Receptors in Two-Kidney-One-Clip Hypertension by Zahra Pezeshki, Mehdi Nematbakhsh

“…The prevalence and severity of hypertension, as well as the activity of the systemic and local renin angiotensin systems (RASs), are gender related, with more symptoms in males than in females. …”
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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia by Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami

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