Calculation of electron-optical characteristics of a quadrupole-cylindrical field by A.O. Saulebekov, A.A. Trubitsyn, Zh.T. Kambarova

“…The calculation of electron-optical characteristics of a quadrupole-cylindrical field was fulfilled on the basis of the analytical method for calculating of trajectories of charged particles. …”
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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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Integration of interior design strategies and computer-aided design technology guided by morphogenetic theory by Jie Zhang, Zhongxian Ren

“…Among them, this study adopts a method based on an open-source computer vision library to identify double line walls and windows in the drawings. …”
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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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Strategies to Improve the Quality of Public Services with Artificial Intelligence (AI) in Indonesia by Mustainah M, Dandan Haryono, Nuraisyah Nuraisyah

“… The objectives of this study are: first, the extent of Improving the Quality of Public Services with Artificial Intelligence (AI) in Indonesia, and second, what strategies can be used to Improve the Quality of Public Services with Artificial Intelligence (AI) in Indonesia. The method used in this study is qualitative, the qualitative method is the method used by the researcher by using sentences to describe the results of the research through writing, the data used consists of primary and secondary data, Techniques for determining Informants with snowbal Sampling, Informants in this study are designers of public service studies based on artificial intelligence in Indonesia, data is collected through Observation,  Interviews, FGDs and Documentation, Data analysis in this study uses data condensation data collection techniques, data presentation, verification and conclusion Triangulation of sources is used to obtain data validity, as well as the use of Analytical Techniques (SWOT) to find and determine the right strategy in improving the quality of public services with Artificial Intelligence (AI). …”
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Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks by Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, Kinde Anlay Fante

“…Additionally, the mean average percentage error (MAPE) for five sample loads used to test the EPGA-enhanced LSTM prediction method further supports the robustness of the proposed method.…”
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Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…For buildings with high insulation performance, high temperature-difference environments pose higher demands on the testing procedures and data collection using the QIRT method. During the testing process, it is essential to monitor changes in outdoor air temperature, enhance the accuracy of infrared thermography, and avoid interference from indoor radiation sources.…”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
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Creation of Souvenir Products as a Means of Promotion of Historical and Cultural Heritage of the City by Uliana P. Efremova, Olga A. Tsesevichene, Anastasia A. Seldusheva

“…The methodological basis of the project was theoretical research methods, such as: analysis used to identify and clarify the target audience of the project, and select similar examples, as well as the souvenir market to highlight competitive advantages; synthesis - to identify optimal design solutions and formulate conclusions; comparison - to work with information sources when determining the functionality of the souvenir and its application. …”
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Analytical description breaker drives and its indicators economy of energy conversion by Trubin A.S., Baranov Y.N.

“…The research results can be used in the development of a method for calculating the optimal parameters when designing a hydraulic hammer, and the obtained expressions can be used to establish the influence of some parameters on the efficiency of the energy conversion process as a whole, as well as for other schemes and tasks.…”
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THE DEVELOPMENT OF PROFESSIONAL SUBJECTIVE POSITION OF MANAGEMENT HUMAN RESOURCES FOR HEALTH by Ol'ga L. Zadvornaya, V. Alekseevich Alekseev, Konstantin N. Borisov

“…In conducting the present study used data from official sources, literature review, scientific methods of analysis and synthesis, comparative analysis and modeling. …”
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Friction power loss in ball bearings: Correlation with bearing skidding and cage motion stability by Mingkai Wang, Linbo Zhu, Kim Tiow Ooi, Haizhen Li, Ke Yan, Jun Hong

“…This study introduces a prediction method for bearing friction power loss, focusing on the interplay of bearing skidding and cage motion stability on the tribological properties of ball bearings. …”
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Spatial Analysis on Networks: Towards identifying similarity of routes by Panagiotis Agourogiannis, Dimitris Kavroudakis, Marios Batsaris

“… Finding an optimal path in a road network is a method of planning and decision-making that is mainly related to transportations and emergency response. …”
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The Ontology-Based Approach Supporting Holistic Energy-Tunnel Design considering Cost, Heat Flux, and System Feasibility by Kun Meng, Chunyi Cui, Cheng Zhang, Hailong Liu

“…However, the conventional methods for designing energy tunnels mostly rely on complex numerical models. …”
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Enhanced production of ginsenoside compound K by synergistic conversion of fermentation with Aspergillus tubingensis and commercial cellulase by Yong-In Lee, Woo-Seok Song, Deok-Kun Oh

“…Under optimized conditions, this combined method achieved an enhanced CK production of 8.06 g/L (13.0 mM) after 168 h, with a productivity of 48 mg/L/h. …”
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Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Quantitative Analysis of L-Arginine in Freeze-Dried Red Dragon Fruits (<i>Hylocereus polyhizus</i>) by Wan Mazlina Md Saad, Mohd Qamarul Aizat Isha, Muhamad Faizzudin Mohamad Zan, Siti Mastura Hanim Sallehoddin

“…The fruit is cultivated worldwide and firmly established as a source of nutrition, thus, making good value in terms of its potential harvesting by various methods. …”
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Temporal dynamics of antimicrobial resistance gene abundances in chicken manure and anaerobic digestate by Aleksandra Atanasova, Thomas Amon, Thomas Amon, Uwe Roesler, Anika Friese, Roswitha Merle, Tina Kabelitz

“…Further investigations on process optimization or the application of pre-treatment methods could enhance ARG reduction. …”
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Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera by Daniel Antonio Negrón, Shipra Trivedi, Nicholas Tolli, David Ashford, Gabrielle Melton, Stephanie Guertin, Katharine Jennings, Bryan D. Necciai, Shanmuga Sozhamannan, Bradley W. Abramson

“…LAMP output is a color change that can be viewed by eye, but it can be difficult to design primer sets, determine target specificity, and interpret subjective color changes. Methods We developed an algorithm for the in silico design and evaluation of LAMP assays within the open-source PCR Signature Erosion Tool (PSET) and a computer vision application for the quantitative analysis of colorimetric outputs. …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

“…This paper presents an enhanced methodology for modal analysis that combines Adaptive Variational Mode Decomposition (A-VMD) with Prony’s method. A novel energy-based selection mechanism is introduced to determine the optimal number of intrinsic mode functions (IMFs), improving the decomposition’s adaptability and precision. …”
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Unravelling the impact of lignin particle size and content on enhanced value in plastic composites by Zoi Terzopoulou, Christina Pappa, Konstantinos Triantafyllidis, Dimitrios N. Bikiaris

“…The paper discusses lignin's characteristics based on source and size reduction method, its functionalization for better dispersion, and various preparation methods of lignin-containing composites. …”
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