Cervical EVT isolation for non-invasive fetal HLA typing in early pregnancy is limited by purity and maternal cell contamination; a methodological comparison by Liseanne J. van ‘t Hof, Johanna M. Kapsenberg, Jos J.M. Drabbels, Lotte E. van der Meeren, Dave L. Roelen, Michael Eikmans, Marie-Louise P. van der Hoorn

“…Cervical extravillous trophoblasts (EVT) in early pregnancy provide a non-invasive source for fetal genome acquisition, potentially enabling fetal HLA typing for obstetric risk assessment. …”
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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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State of Health Estimation of Lithium-Ion Batteries Using Fusion Health Indicator by PSO-ELM Model by Jun Chen, Yan Liu, Jun Yong, Cheng Yang, Liqin Yan, Yanping Zheng

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Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
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Providing a Control System for Charging Electric Vehicles Using ANFIS by Zahra Mahdavi, Tina Samavat, Anita Sadat Jahani Javanmardi, Mohammad Ali Dashtaki, Mohammad Zand, Morteza Azimi Nasab, Mostafa Azimi Nasab, Sanjeevikumar Padmanaban, Baseem Khan

“…By implementing this method, it is expected that the connection status of electric vehicles can be optimized to help stabilize the grid and minimize frequency fluctuations caused by the integration of distributed renewable energy sources. …”
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Calculation of the shielding at microwave impact on oil reservoirs by Ali R. Agaev, Alexander Y. Gilmanov, Alexander P. Shevelyov

“…In the framework of the method using microwave impact for the first time determined the amount of shielding by the pipe material of this impact and determined the optimal parameters of the radiation source and the parameters of well pipe structures for effective impact on oil reservoirs. …”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…The system integrates three core technological components: (1) a heterogeneous cloud resource scheduling method employing an optimized CMMN algorithm with unified cloud API standardization to enhance task distribution efficiency; (2) a block model-based dynamic data aggregation approach utilizing semantic unification and attribute mapping for multi-source geological data integration; (3) a GPU-accelerated rendering framework implementing occlusion culling and batch processing to optimize 3D visualization performance. …”
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Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach by K. Sathish, C. V. Ravikumar, Asadi Srinivasulu, A. Rajesh, Olutayo Oyeyemi Oyerinde

“…The routing protocols ad-hoc on-demand distance vector (AODV), dynamic source routing (DSR), dynamic manet on demand routing protocol (DYMO), location-aided routing 1 (LAR 1), optimized link state routing (OLSR), source-tree adaptive routing optimum routing approach (STAR-ORA), zone routing protocol (ZRP), and STAR-least overhead routing approach (STAR-LORA) are a few models of routing techniques. …”
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Education on Garden Land Utilization in Efforts to Prevent Stunting in Padang City by Rahmi Awalina, Yeffi Masnarivan, Resmiati Resmiati

“…The method employed involves educating local volunteers about the benefits of family backyard spaces as an alternative source of family food, followed by the distribution of plant seeds and planting media. …”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…In this study, we propose a Vehicle Re-ID method based on super resolution and pyramidal convolution residual network. …”
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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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Vineyard pruning-wood waste valorisation: sustainable extraction of bioactive compounds by Elisabetta Tumminelli, Valeria Cavalloro, Valeria Cavalloro, Chiara Ingrà, Alessandra Ferrandino, Alessio Porta, Giorgio Marrubini, Emanuela Martino, Emanuela Martino, Daniela Rossi, Simona Collina

“…Accordingly, it represents a valuable source of biologically active phytochemicals with potential industrial outcomes.MethodsThe present study aimed to exploit grapevine pruning residues as a source of (E)-resveratrol and (E)-ε-viniferin through the set-up of a low environmental impact procedure which involves first a microwave-assisted solvent extraction (MASE) followed by a protocol suitable for the isolation of (E)-resveratrol and (E)-ε-viniferin from the MASE extract. …”
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Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches by Fatemeh Mohammadinia, Ali Ranjbar, Fatemeh Ghazi, Seyyed Taha Hosseini

“…Abstract Accurately estimating the Rate of Penetration (ROP) in drilling operations remains a significant challenge due to the limitations of traditional approaches, which are often characterized by low accuracy and reliance on empirical equations with assumed coefficients. These methods, while optimized for specific fields, often fail to generalize across different geological contexts. …”
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Supercritical Extraction Technology of Obtaining Polyunsaturated Acids from Starfish (Lysastrosoma anthosticta Fisher, 1922) by Alexander M. Zakharenko, Konstantin Yu. Kirichenko, Igor A. Vakhniuk, Kirill S. Golokhvast

“…Study objects and methods. The study defined the optimal parameters for extracting the lipid fraction of Lysastrosoma anthosticta with supercritical carbon dioxide, as well as the qualitative composition of the obtained extracts. …”
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Comparison of numerical model, neural intelligent and GeoStatistical in estimating groundwater table by Maryam Bayatvarkeshi, Rojin Fasihi

“…The NRMSE value in Wavelet-ANN method as optimization method was 0.11 % and in numerical model was 2.2 %. …”
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Volt/Var Control of Electronic Distribution Network Based on Hierarchical Coordination by Zijie Huang, Kun Yu, Xingying Chen, Bu Xue, Liangxi Guo, Jiarou Li, Xiaolan Yang

“…A variable-slope linear droop control method based on voltage boundary parameter optimization is employed for real-time adjustment of soft open point (SOP) and inverter outputs. …”
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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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Food-derived bio-functional peptides for the management of hyperuricemia and associated mechanism by Yanxin Wang, Mingxia Ma, Yumeng Huang, Siqing Fan, Jie Peng, Shiming Li, Xiurong Su, Yanbo Wang, Chenyang Lu

“…This article aims to focus on the challenge associated with peptide-specific preparation methods development, functional components identification, action mechanism(s) clarification, and bioavailability improvement. …”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…Microgrids (MGs) often integrate various energy sources to enhance system reliability, including intermittent methods, such as solar panels and wind turbines. …”
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