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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Spectrophotometric study of tannins in the herb Achillea millefolium L. by H. P. Smoilovska, O. O. Maliuhina, O. K. Yerenko, T. V. Khortetska

“…This allows the use of plant raw materials and extracts of yarrow for the development of complex herbal and combined formulations of medicines. The search for new sources of natural tannin compounds for pharmaceutical and cosmetic purposes is of significant interest and encourages the improvement of phytochemical research methods of known species of medicinal plants. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

“…The developed model is open-source, enabling scientists and engineers to use it for analyzing, optimizing, and managing nuclear reactors, thereby contributing to technological advancements and knowledge dissemination in this field.…”
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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

“…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling. by Burak Alakent, Erkan Isikli, Cigdem Kadaifci, Tonguc S Taspinar

“…Since a model is constructed separately for each test point, the proposed method is, indeed, an example of JITL. The JITL-GPR method is easy to use and optimize, and offers a reduction in forecast errors compared to traditional time series methods and a state-of-the-art combination model; therefore, it is a promising tool for NGD forecasting in similar settings.…”
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Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection by A. E. Dinçer, A. Demir, K. Yılmaz

“…To address these objective relations and/or consensuses, this study proposes the analytic hierarchy process with optimized hierarchy (AHP‐OH). This method enhances the reliability of results by satisfying objective relations and/or consensuses about relations between criteria. …”
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Evaluation of the energy efficiency of fuel-free electricity generation at gas pressure regulation stations by Mukolyants Arsen, Sotnikova Irina, Ergasheva Dilbar, Maksudova Nasima

“…These results allow for the selection of the optimal gas preheating method depending on the operating conditions and the economic efficiency requirements of the unit.…”
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Efficiency Enhancement and Estimation of Photovoltaic Energy Generation Using Dual-Axis Tracking Systems by Aditya Aggarwal, Himanshu Himanshu, Manav Sidana, Girish Gupta, Ishtdeep Singh Sodhi, Anamika Sharma

“…The global need to transition towards sustainable energy sources has increased the exploration of efficient methods to harness solar energy. …”
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Feasibility of a Sustainable On-Site Paper Recycling Process by Karl Jakob Levin, David dos Santos Costa, Lii Urb, Anna-Liisa Peikolainen, Tanel Venderström, Tarmo Tamm

“…Several EU initiatives and directives emphasize waste reduction and immediate reuse at the source. This study introduces a novel on-site recycling method for transforming printing house paper waste into high-quality, eco-friendly cardboard without mixing it with lower-quality or heterogeneous waste streams. …”
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Accurate Determination of 24 Water-Soluble Synthetic Colorants in Premade Cocktail Using Ultra-Performance Liquid Chromatography with Diode Array Detection by Kang Ma, Yiwen Zhang, Taipeng Wu

“…Finally, the method was successfully applied to the analysis of colorants in premade cocktails from different sources.…”
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Quinoa malt and blueberry functional beverage: effect of malting and consumer sensory evaluation by Eliana Gabriela Contreras, Tatiana Rojas-Ayerve, Elizabeth Fuentes-Campos, Erika Lizet Chaiña Mamani, Alessandra Arosena-Chao, Ana María Muñoz Jauregui

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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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Small but mighty: the power of microcrystals in structural biology by Courtney J. Tremlett, Jack Stubbs, William S. Stuart, Patrick D. Shaw Stewart, Jonathan West, Allen M. Orville, Ivo Tews, Nicholas J. Harmer

“…Reproducibly preparing small crystals, especially from samples that typically yield larger crystals, requires considerable effort, as no one singular approach guarantees optimal crystals for every technique. This review discusses methods for generating such small crystals, including mechanical crushing and batch crystallization with seeding, and evaluates their compatibility with microcrystal data-collection modalities. …”
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Introduction to the Integrated Nutrient Management Strategies and Their Contribution to Yield and Soil Properties by Mostafa Mohamed Selim

“…So, the key component of the INM goal is to reach the eco-friendly practice through the harmonious properties of both sources by making a combination that can be used for decreasing the enormous use of chemical fertilizers and accreting a balance between fertilizer inputs and crop nutrient requirement, maintaining the soil fertility, optimizing the level of yield, maximizing the profitability, and subsequently reducing the environmental pollution. …”
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Simulation Research on Thermal Characteristics and Experimental Study on Electronic Control Board of the Miniature High-Speed Digital Valve by Meisheng Yang

“…In this study, the dimension of an electromagnetic structure is normalized into a unified variable, and the numerical analysis method is used to optimize the values of each parameter size on the premise of satisfying the requirements. …”
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Forecasting the daily energy load schedule of working days using meteofactors for the central power system of Mongolia by A. G. Rusina, O. Tuvshin, P. V. Matrenin

“…As initial inputs historical data on load, temperature and outdoor air humidity of the central energy system were used, which has the most of the energy demand and sources of Mongolia by 2021.RESULTS. According to the method of statistical analysis, daily load curves were constructed with an absolute percentage error of 2.68%. …”
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Model Retrieval Based on Simulated Annealing Algorithm by GAO Xueyao, TAN Tao, ZHANG Chunxiang

“…Based on this optimal matching sequence of faces, the similarity between source model and target one is calculated. …”
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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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Multicolour single molecule imaging in cells with near infra-red dyes. by Christopher J Tynan, David T Clarke, Benjamin C Coles, Daniel J Rolfe, Marisa L Martin-Fernandez, Stephen E D Webb

“…<h4>Background</h4>The autofluorescence background of biological samples impedes the detection of single molecules when imaging. The most common method of reducing the background is to use evanescent field excitation, which is incompatible with imaging beyond the surface of biological samples. …”
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