Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease by Mohamed Shalaby, Nahla A. Belal, Yasser Omar

“…In addition, applying the Siamese network can overcome the limitation of samples per class in the dataset by guiding the network to learn differences between samples rather than focusing on learning specific classes. In this paper, a Siamese neural network is applied to diagnose PD. …”
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An Analysis of Spatial Distribution of Urban Services with Focus on Social Justice and Emphasis on Citizens\' Satisfaction (Case Study: District 11 of Mashhad) by ahmad asadi, roghayeh kalateh meymari

“…The results of all the models used in the paper are highly consistent and consistent.…”
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Evaluation criteria of objects vibration state by parameters of signal characteristic function by I. S. Kudryavtseva, A. P. Naumenko, A. M. Demin

“…The obtained signs are integral estimates of the vibroacoustic signals statistical characteristics for piston compressors. The paper presents the boundary values of diagnostic signs based on the parameters of the area under the curve of the vibroacoustic signals characteristic function modulus. …”
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Management of Energy Exchange Process on Metro Rolling Stock with On-Board Capacitive Energy Storage by Sulym A.O., Khozia P.O., Fomin O.V., Bahrov O.M.

“…The object of this paper is to develop and synthesize a system for managing energy exchange processes between the overhead line, electric drive of metro vehicles, braking resistor and ca-pacitive energy storage devices. …”
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Ecological Upgrade of Normal-Strength Mortars by Using High Volume of GGBS by Peiyuan Chen, Shicheng He, Pengju Wang, Ying Xu, Xiuping Hu, Qian Chen

“…To this end, the feasibility of ecological upgrade of normal-strength mortars (NSM) by using high volume of ground granulated blast furnace slag (GGBS) (70%–90%) was evaluated in this paper. Comprehensive experiments were conducted to investigate the influences of experimental variables such as content of cement, curing temperature, and mass ratio of water to binder (w/b) on the fresh properties, compressive strength, hydration products, microstructure, and pore structure of NSM. …”
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Extraction of tiger nut oil using ultrasound-assisted immiscible binary solvents and its effect on the quality of extracted oil and starch by Zhi-cheng Li, Zhen-shan Zhang, Ying Xia, Jin-tao Han, Hua-zhang Chang, Hui-min Wang

“…Tiger nuts are rich in both oil and starch. In this paper, an immiscible binary solvent consisted of water and hexane was used to separate oil and starch from tiger nut with the assistance of ultrasound. …”
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A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

“…The suggested method consists of three phases which are edge detection, embedding and extraction. This paper concentrated on three basic and significant parts which are payload, quality, and security also introduces a new steganography method by using edge detection method and shark smell optimization to effectively hide data with in images. …”
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Systematic review of depressive, anxiety and post-traumatic stress symptoms among Asian American breast cancer survivors by William Tsai, Sumaiya Nusrath, Ruidi Zhu

“…Objectives This paper aimed to review the experience of psychopathology symptoms (ie, depressive, anxiety and post-traumatic stress) and their social, cognitive and affective correlates among Asian American breast cancer survivors. …”
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Spatial distribution and influencing factors of China’s overseas farmland investment projects under the background of food security by Yameng Wang, Fan Zou, Luning Wang, Huawang Jin, Linyan Ma

“…Based on the case data of China’s overseas cultivated Land investment in the Land Matrix database, this paper sorted out the utilization status of China’s global cultivated land resources, and analyzed the spatial distribution and influencing factors by using spatial analysis method and grey correlation analysis method. …”
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Conceptual Design of a 10 MW Multipurpose Research Reactor Using VVR-KN Fuel by Nhi-Dien Nguyen, Kien-Cuong Nguyen, Ton-Nghiem Huynh, Doan-Hai-Dang Vo, Hoai-Nam Tran

“…The paper presents a conceptual design of a 10 MW multipurpose nuclear research reactor (MPRR) loaded with the low-enriched uranium (LEU) VVR-KN fuel type. …”
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Weather identification using models based on deep learning by Afroza Nahar, Rifat Al Mamun Rudro, Bakhtiar Atiq Faisal, Md. Faruk Abdullah Al Sohan, Laveet Kumar

“…This study evaluates deep learning techniques for weather forecasting based on different meteorological characteristics. This paper examines a few weather variables to evaluate the prediction performance of several deep learning solutions using TensorFlow and pre-trained Keras applications models. …”
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Advanced Microgrid: Containerized Development Platform by João Marcus S. Callegari, Danilo Iglesias Brandao, Luís Guilherme Monteiro Oliveira, Sidelmo Magalhães Silva, Braz J. Cardoso Filho

“… This paper presents a containerized development platform suitable for developing and validating advanced microgrids (MGs). …”
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Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM) by Shaochuan Li, Peisong Diao, Xianghao Li, Yongli Zhao, Hongda Zhao

“…Due to the dense crop residue in the Huang-Huai-Hai region, challenges such as large resistance, increased power consumption, and straw backfilling arise in the process of no-till seeding under the high-speed operations. This paper presents the design of a straw treatment device to address these issues. …”
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Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC Using Deep Learning: A Systematic Literature Review by Shahzad Rizwan, Chee Ken Nee, Salem Garfan

“…By conducting SLR using PRISMA model, we identified research findings and gaps by proposing a conceptual framework for developing future personalized and adaptive e-learning environment for the inclusive MOOC based hard of hearing and low vision learners. This paper concludes by discussing implications for future personalized and adaptive e-learning environments and the necessity of comprehensive teacher training programs to navigate these evolving educational technologies.…”
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Analysis of Water Surface Ratio Evolution in Guangdong-Hong Kong-Macao Greater Bay Area Based on Landsat by JIANG Xintong, LIAO Xiaolong, QUAN Xujian, XUE Jiao, ZHONG Yixuan, YU Baishun

“…An appropriate urban water surface ratio plays a vital role in improving the ecological quality of urban areas and the quality of urban living space.By RS and GIS technology,the research takes the free and open source optical remote sensing data,Landsat images,as the data source and uses the normalized difference water index (NDWI) and the normalized difference vegetation index (NDVI) to construct an automatic water body discrimination model.In this way,we can analyze the evolution of the water surface ratio in the core cities of the Guangdong-Hong Kong-Macao Greater Bay Area (Greater Bay Area) in the past two decades.The result analysis reveals that in the past 20 years,the water area of the Greater Bay Area has been decreased by 136 km²,and the water surface ratio is reduced from 4.48% to 4.22%.Among the cities in the Greater Bay Area,the city with the largest reduction in the water area is Jiangmen,with a decline of 44.20 km²,and its water surface ratio falls from 6.10% to 5.62%.Foshan follows Jiangmen,with a water area decrease of 32.34 km²,and its water surface ratio drops from 13.17% to 12.32%.The water area in Macao,Hong Kong,Huizhou,and Zhaoqing demonstrates a fall of not more than 10 km²,and that in Guangzhou and Shenzhen is reduced by not more than 20 km².By the transition matrix analysis of land use types in the Greater Bay Area,we can uncover the main reason for the decline in water area—that is,the increase in construction land invading the original water area.The result of this paper can provide theoretical and methodological support for the rational use of water resources and the construction of water ecology in the cities of the Greater Bay Area.Meanwhile,it can offer an important reference for promoting the construction of ecological civilization and strengthening environmental protection in the Greater Bay Area.…”
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Are women leaders significantly better at controlling the contagion during the COVID-19 pandemic? by Maxwell SALVATORE, Bhramar MUKHERJEE

“…Introduction: Recent media articles have suggested that women-led countries are doing better in terms of their responses to the COVID-19 pandemic. The aim of this paper is to examine an ensemble of public he- alth metrics to assess the control of COVID-19 epidemic in women- versus men-led countries worldwide based on data available up to June 3. …”
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Graph attention convolution network for power flow calculation considering grid uncertainty by Haochen Li, Liqun Liu, Shaojuan Yu, Qiusheng He, Qingfeng Wu, Jianfeng Zhang, Qinxiong Lu

“…In this context, probabilistic power flow models based on artificial intelligence need to possess stronger learning capabilities and robustness to handle the dynamic changes in the grid. To this end, this paper proposes a novel graph attention convolution model for real-time power flow calculation. …”
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Numerical Analysis of the Characteristics of the Heat Treatment Process of Multilayer Composite Products in Heat Technology Installations by V. N. Romaniuk, A. M. Niyakovskii, A. N. Chichko, Yu. V. Yatskevich, Т. N. Ryzhova

“…The results of numerical studies carried out on the basis on a mathematical model developed by the authors of this paper devoted to the investigation of the influence of various factors on the characteristics of the process of heat treatment of composite products in industrial heat technology installations in the presence of internal heat emissions distributed over the volume of individual layers of the product are presented. …”
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Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine by Kuo Zhang, Xiangbin Meng, Xiangyu Yan, Jiaming Ji, Jingqian Liu, Hua Xu, Heng Zhang, Da Liu, Jingjia Wang, Xuliang Wang, Jun Gao, Yuan-geng-shuo Wang, Chunli Shao, Wenyao Wang, Jiarong Li, Ming-Qi Zheng, Yaodong Yang, Yi-Da Tang

“…Challenges include ensuring their empirical reliability, addressing ethical and societal implications, especially data privacy, and mitigating biases while maintaining privacy and accountability. The paper emphasizes the need for human-centric, bias-free LLMs for personalized medicine and advocates for equitable development and access. …”
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Isolation and study of biological properties of <i>Bordetella bronchiseptica</i>-specific bacteriophages by T. A. Kochetova, V. V. Yuskevich, G. T. Sadykova, V. M. Popova

“…The paper presents results of our studies on isolation of bacteriophages active against Bordetella bronchiseptica. …”
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