Classification of Complex Power Quality Disturbances Based on Lissajous Trajectory and Lightweight DenseNet by Xi Zhang, Jianyong Zheng, Fei Mei, Huiyu Miao

“…Finally, the LT image is input into the fusion model for training, and PQD classification is achieved using the optimally trained model. The experimental results demonstrate that, compared with current mainstream PQD classification methods, the proposed algorithm not only achieves superior disturbance classification accuracy and noise robustness but also significantly improves response speed in PQD classification tasks through its concise visualization conversion process and lightweight model design.…”
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Smart orthopedic implants: the future of personalized joint replacement and monitoring by Eskandar Kirolos

“…Sources were retrieved from PubMed, Scopus, Web of Science, and Google Scholar. …”

The role of venture capital funds in dissemination and development of innovation in Canada by Marat Ressin

“…Correlation analysis methods were applied to identify dependencies between venture and innovation indicators. …”
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Multimodal fusion with relational learning for molecular property prediction by Zhengyang Zhou, Yunrui Li, Pengyu Hong, Hao Xu

“…However, existing studies explore only a narrow range of modalities, and the optimal integration stages for multimodal fusion remain largely unexplored. …”
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A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration by Kumar P. Rajesh, Shravani Chapala, Rajitha M., Lokeshwar Reddy Ch.

“…It examines state-of-the-art methods, including advanced control strategies, innovative compensation devices, and the latest developments in power electronic interfaces. …”
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Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes by Areej Althabatah, Mohammed Yaqot, Brenno Menezes, Laoucine Kerbache

“…<i>Background</i>: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. <i>Methods</i>: this study addresses a critical knowledge gap by conducting a comprehensive review of <i>111</i> papers sourced from the Scopus database. …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
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Reducing contrast media and radiation dose in CT angiography at low tube voltage: animal study with photon-counting detector CT by Konstantin Klambauer, Thomas Flohr, Lukas Jakob Moser, Victor Mergen, Matthias Eberhard, Andreas Prokein, Hatem Alkadhi, Hubertus Pietsch, Gregor Jost

“…Methods Six minipigs (median weight: 32.5 kg; IQR: 29.8–34.6 kg) underwent thoracoabdominal CTA using a clinical dual-source PCD-CT at 70 kVp with three scan protocols: (A) reference (100% CM and radiation dose), (B) increased radiation (233%) and reduced CM (56%) dose, and (C) reduced radiation (50%) and increased CM (141%) dose. …”
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Technical and economic analysis of the use of mobile charging stations for electric vehicles in the Republic of Tajikistan by  Abdullo Mamadamon

“…To conduct a study to determine the optimal option for mobile charging stations, a comparative analysis method was used. …”
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ORGANIZATION-PUBLIC RELATIONSHIPS OLEH BADAN NARKOTIKA NASIONAL PROVINSI DAERAH ISTIMEWA YOGYAKARTA PADA REMAJA by Resmamita Resmamita, Pratiwi Wahyu Widiarti

“…This research uses a qualitative method with a descriptive approach. The object of research is BNNP DIY with research subjects namely Public Relations team and Pencegahan dan Pemberdayaan Masyarakat (P2M) section, which was determined by purposive sampling technique. …”
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Generation of Uncorrelated Multichannel Chaos by Electrical Heterodyning for Multiple-Input–Multiple-Output Chaos Radar Application by Chih-Hao Cheng, Yi-Cheng Chen, Fan-Yi Lin

“…Moreover, compared with those conventional waveform-designing methods that require complicated optimization and digital-to-analog conversion (DAC), the proposed heterodyned technique shows, for the first time, that multiple uncorrelated channels can be generated in real-time while breaking the bandwidth limitation of the DAC devices. …”
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Valorisation of Rice Husk and Bubble Wrap Plastic Waste through Co-Torrefaction to Optimise Biochar Production by Aloysius Gonzaga Holy Prajitna, Mochammad Chaerul

“…This quantity makes rice husk a potential biomass for conversion into energy to minimize the negative impacts of current processing methods, such as open-burning and mulching. Torrefaction was conducted at 300°C for 30 minutes in this study to enhance the characteristics of biomass fuel by producing biochar with improved combustion properties. …”
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International legal standards for documentation and investigation of war crimes by Mykhailo Loshytskyi, Oleksandr Yunin, Dmytro Kyslenko, Bohdana Tychna, Oleksandr Dotsenko

“…The study employed the following methods: structural analysis, topological detailing, perfection analysis, structural optimization, comparative analysis, parametric analysis, conceptual modelling. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…These challenges encompass defining a conceptual model outlining cause-and-effect relationships, addressing dissimilarities in data source quantity and information content, grappling with missing or noisy data, fine-tuning model optimization, achieving accurate predictions, and tackling the issue of imbalanced observations across factors. …”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…These challenges encompass defining a conceptual model outlining cause-and-effect relationships, addressing dissimilarities in data source quantity and information content, grappling with missing or noisy data, fine-tuning model optimization, achieving accurate predictions, and tackling the issue of imbalanced observations across factors. …”
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Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

“…Finally, the equation parameter and the optimal sample division scheme are obtained with the PM algorithm-based interval linear regression method, and the harmonic responsibility in the medium and long term time scope is calculated on the basis of the constructed interval harmonic responsibility division. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…For the foreseeable future, using affordable imaging offers tremendous potential in place of conventional field methods. To evaluate the contamination level, a basic standard reference i.e., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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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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Production and characterization of nervous necrosis virus vaccine antigens in wild type and CRISPR/Cas9 genome edited Nicotiana benthamiana and edible crop lettuce Lactuca sativa by Iva Andrasevic, Hang Su, Espen Rimstad, Jihong Liu Clarke

“…Plant platforms have several advantages and have been proposed as an alternative biomanufacturing method for vaccine antigens. In the present study, we report: (1) selection and design of recombinant plasmids encoding the capsid proteins (CPs) of two genotypes of NNV, red-spotted grouper nervous necrosis virus (RGNNV) and striped jack nervous necrosis virus (SJNNV); (2) design and optimization of plasmids for transient expression of NNV vaccine antigens in wild type Nicotiana benthamiana, CRISPR/Cas9 genome edited Nicotiana benthamiana and Lactuca sativa; (3) test of different Agrobacterium strains (LBA4404 and AGL1) for effective production of NNVCPs; (4) the expression patterns of NNVCPs over time post infiltration for different plants and cultivars; (5) successful production of NNV antigens in N. benthamiana lines and lettuce cultivars, indicating the potential of the plants as antigen producers in the development of a plant-based vaccine against VNN.…”
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