Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…School performance prediction is a key field of Educational Data Mining (EDM), however manual computation and data mining methods struggle with the expanding volume of complicated data from varied sources, leaving research gaps and unresolved challenges. …”
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Anticancer properties of 1,2,4-triazole derivatives (literature review) by I. V. Bushuieva, M. V. Parchenko

“…The aim of the work is the analysis and systematization of new data on the anticancer activity of 1,2,4-triazole derivatives and the selection of the most promising directions for further scientific research based on the results of the analysis. Materials and methods. The study employed various methods, including analysis, information search, bibliosemantic analysis, descriptive techniques, and generalization. …”
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Identification of Nanoparticle Agglomeration in Polymer Plates Reinforced with Carbon Nanotubes by Use of Active Thermography and Deep Learning-Based Image Processing by Mazharul Islam, Raihan Sarker

“…This study describes a noncontact method for measuring nanoparticle agglomeration in epoxy-based polymer nanocomposite sheets reinforced by carbon nanotubes. …”
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Analysis of some error-causing factors in two-dimensional geoelectrical studies and providing a solution to minimize them by Hosein Moghaddasi, Mohsen Moghaddasi, Ahmad Neyamadpour

“…Finally, the optimal method from which the best results are obtained was proposed. …”
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One-step hydrothermal fabrication of AgInS2/SnIn4S8 nanocomposite with enhanced visible-light-activated photocatalytic activity by Zhong Fei, Zhu Zong Qiang

“…In this experiment, AgInS2/SnIn4S8 materials were prepared via one-step hydrothermal method using silver chloride, the indium trichloride, stannic chloride and thioacetamide as source of silver, indium, tin and sulfur sources, respectively. …”
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Reconstructing In-Cylinder Pressure from Head Vibrations with Signal-to-Signal Deep Learning Architectures by Mateusz Tabaszewski, Grzegorz M. Szymański, Maciej Tabaszewski, Mikołaj Klekowicki

“…Considering that piston internal combustion engines will remain essential converters of chemical energy into mechanical energy for an extended period, providing optimal diagnostic tools for their operation is imperative. …”
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Study on Mercury Exposure and Different Approaches for the Management of Mercury Toxicity by Praveen Kumar Maddheshiya, Priyanka Bharti, Sarad Kumar Mishra, Kapil Gupta

“…This study explores the sources and routes of mercury exposure to humans, its toxicological effects, and the various methods of phytoremediation and bioremediation to mitigate (Reduce) mercury contamination in the environment. …”
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Thermodynamic assessment of hybrid solar-geothermal organic Rankine cycle: An exergy and energy-based analysis by Mohammad Alrbai, Ahmad Al Masri, Sura Abu-Dabaseh, Mosa Abusorra, Hassan Hayajneh

“…The problem is approached by analyzing exergy destruction within key components, using the entropy method, and evaluating the impact of different working fluids. …”
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Integration of a novel Vernier-DSPM generator in a grid connected hybrid renewable energy system with battery storage by Abderrahmane Redouane, Rachid Saou, Youcef Belkhier, Amrane Oukaour

“…This research investigates a hybrid renewable energy system (HRESs) connected to the grid that uses three energy sources: solar energy, wind energy, and battery energy. …”
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Unmanned Aerial Geophysical Remote Sensing: A Systematic Review by Farzaneh Dadrass Javan, Farhad Samadzadegan, Ahmad Toosi, Mark van der Meijde

“…However, implementing geophysical methods on UAVs poses challenges, prompting ongoing research and development efforts worldwide to find optimal solutions from both hardware and software perspectives.…”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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Smooth Guided Adversarial Fully Test-Time Adaptation by Dong Li, Panfei Yang

“…Fully test-time adaptation (FTTA) refers to a specific type of domain adaptation that involves adjusting a pre-trained machine learning model to work with a new target domain, without accessing any data from the source domain. The lack of access to source data makes it more difficult to adjust to the target domain. …”
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Implementation of Energy-saving Technologies in House construction by E. I. Krupnov, I. A. Zaytseva, S. A. Loginova, A. V. Simagin

“…Method. To evaluate the efficiency of air source heat pumps, a mathematical model is used that takes into account the multifactorial nature of the process under study. …”
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Selecting a Programming Scheme for Memristor Elements by E. A. Bukvarev, K. S. Fomina, S. A. Shchanikov

“…To identify or develop an optimal programming scheme for memristors by analyzing the advantages and disadvantages of existing methods.Materials and methods. …”
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Occurrence of antibiotics and antibiotic resistance genes at various stages of different aquaculture modes surrounding Tai Lake, China by Congcong Wu, Congcong Wu, Haitao Ye, Mingzhu Xu, Xuan Zhao, Xuejie Zhao, Lina Li, Mingzhi Li, Yanfei Wei, Yuru Li, Baolan Hu, Baolan Hu

“…IntroductionAquaculture is an important source of antibiotics and ARGs in environmental waters. …”
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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…This review examines recent progress in methods to improve the power output and power density of TENGs. …”
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Synthesis and properties of nanostructures based on lanthanum fluoride for photodynamic therapy of tumors of the cranial cavity and bone tissue by A. P. Kusyak, A. L. Petranovska, S. P. Turanska, O. I. Oranska, Yu. M. Shuba, D. I. Kravchuk, L. I. Kravchuk, V. S. Chornyi, O. A. Bur'yanov, Yu. L. Sobolevs'kyy, V. A. Dubok, P. P. Gorbyk

“…The synthesis of nanosized magnetite in the single-domain state was performed by the Elmore method. Synthesized nanodisperse samples are characterized by XRD analysis, DTGA, TEM. …”
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Research advances of metal fluoride for energy conversion and storage by Runlin Zhang, Zijin Xu, Zeyu Hao, Zeshuo Meng, Xiufeng Hao, Hongwei Tian

“…In this paper, we summarize the difficulties and improvement methods encountered in different types of battery applications and several typical electrode optimization strategies in the field of supercapacitors. …”
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The role of oxygenation in kidney and liver machine perfusion by M. S. Novruzbekov, A. G. Balkarov, E. Yu. Anosova, I. V. Dmitriev, Yu. A. Anisimov, N. S. Zhuravel, E. V. Klychnikova, A. S. Bogdanova, B. I. Yaremin

“…Organ transplantation is the optimal decision for patients in the end stage of many diseases. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…As the primary public source of satellite trajectory data, the Two-Line Element (TLE) dataset offers fundamental orbital parameters for space missions. …”
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