Complex biochemical characteristics of <i>Coriandrum sativum</i> L. by T. V. Khmelinskaya, A. E. Smolenskaya, A. E. Solovyeva

“…The aim of this research was to study the biochemical composition of the green biomass in the accessions of C. sativum from the VIR global collection and identify promising accessions for use in breeding for quality.Materials and methods. The green biomass of  67 coriander accessions from different countries maintained in the VIR collection served as the research material. …”
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Environmental and geographic study of betanin accumulation in promising red beet accessions from the VIR collection by D. V. Sokolova

“…It is the base for obtaining source material to breed cultivars with high betanin content.Materials and methods. …”
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Stray inductance influence on switching waveform design with gate charge control for power MOSFETs by Hirotaka Oomori, Ichiro Omura

“…This paper experimentally investigates the influence of stray inductance on the method since the stray inductance cannot be completely eliminated in practical power converters.A simple and wide-band voltage control current source circuit was built to generate a 100 ns-wide gate charge pulse for measuring the voltage and current responses. …”
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Corrective soft bus-bar splitting for reliable operation of hybrid AC/DC grids by Basel Morsy, Matthew Deakin, Adolfo Anta, Jochen Cremer

“…This has sparked renewed interest in optimizing network capacity utilization. This paper explores the synergy between two flexibility-enhancing methods in hybrid AC/DC grids: Voltage Source Converter (VSC) set-point control pre- and post-contingency, and corrective Network Topology Reconfiguration (NTR). …”
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Probabilistic Operation of the Microgrids Including Active Loads and Distributed Generation Constrained to Flexibility and Reliability Indices by Hosein Hasan Shahi, Mehdi Nafar, Mohsen Simab

“…The Pareto optimization based on the weighted sum method is then incorporated to obtain a single-objective model. …”
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GAN-based unsupervised domain adaptive person re-identification by Shengsheng ZHENG, Haibing YIN, Xiaofeng HUANG, Tianjie ZHANG

“…Aiming at the problem that the inaccurate clustering in the unsupervised domain adaptive pedestrian re-recognition results in low network recognition accuracy, an unsupervised domain adaptive pedestrian re-recognition method based on generative confrontation network was proposed.Firstly, the CNN model was optimized by using the batch normalization layer after the pooling layer, deleting a fully connected layer and adopting the Adam optimizer.Secondly, the cluster error was analyzed and the important parameter in the cluster was decided based on minimum error rate Bayesian decision theory.Finally, the generative adversarial network was utilized to adjust the cluster.These steps effectively improved the recognition accuracy of unsupervised domain adaptive person re-identification.In the case of the source domain Market-1501 and the target domain DukeMTMC-reID, experimental results show that mAP and Rank-1 can reach 53.7% and 71.6%, respectively.…”
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Risk factors for mortality and implications on therapy for Stenotrophomonas maltophilia bacteraemia by Matthew Chung Yi Koh, Jinghao Nicholas Ngiam, Lionel Hon-Wai Lum, Nares Smitasin, Ka Lip Chew, David Michael Allen

“…Thus, we retrospectively examined the clinical presentation, microbiological characteristics, treatment options to identify risk factors for mortality. Methods: We performed a retrospective single-centre analysis of Stenotrophomonas maltophilia bacteraemia from 1 Jan 2012–30 Jun 2024. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

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Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…Wind energy, as a renewable energy source, is becoming increasingly important. The maintenance and damage detection of wind turbine blades are particularly crucial. …”
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Investigation and analysis of the impact of historical contexts on urban tourism development by Ali Morvati

“…The research sample consists of 150 people who will be selected using random sampling method. In this research, a mixed method (qualitative and quantitative) is used, and the research tools include questionnaires designed to collect statistical data and semi-structured interviews with tourism experts and experts. …”
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Assessment of the Solar Potential of Buildings Based on Photogrammetric Data by Paulina Jaczewska, Hubert Sybilski, Marlena Tywonek

“…The proposed algorithm enabled assessing the efficiency of photovoltaic panels and comparing the results of maps of the solar potential of buildings, as well as identifying the areas that require optimization. The results of the analysis, which had been conducted in the test areas in the village and on the campus of the university, confirmed the usefulness of the above proposed methods. …”
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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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Mitigation of human factor in tomographic post processing of additive manufactured critical parts for aviation application by Stefano Benuzzi, Davide Borghi, Maria Grazia Righi, Natanaele Galavotti, Fabio Esposito

“…The design freedom that Additive Manufacturing allows, enables the designer to develop increasingly optimized parts, capable of joining different geometries (lattice structures, thick walls, geometries optimized for heat dissipation) on a scale that can vary significantly depending on the required application. …”
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A novel twin time series network for building energy consumption predicting. by Zhixin Sun, Han Cui, Xiangxiang Mei, Hailei Yuan

“…The model was evaluated on datasets from university dormitories, office buildings, and school classrooms, showing significant improvements over the optimal baseline method. For instance, on the university classroom dataset, T2SNET reduced MAE by 4.56%, RMSE by 9.45%, and MAPE by 3.16% compared to the CEEMDAN-RF-LSTM model. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
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A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System by Jianli Li, Wenjian Wang, Feng Jiao, Jiancheng Fang, Tao Yu

“…Bayesian regularization method was used as the evaluation criterion, which further optimized the coefficients of the temperature error. …”
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Integrated Energy Management in Small-Scale Smart Grids Considering the Emergency Load Conditions: A Combined Battery Energy Storage, Solar PV, and Power-to-Hydrogen System by Hossein Jokar, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Khmaies Ouahada, Mokhtar Aly

“…Compared to conventional evolutionary methods like particle swarm optimization, non-dominated sorting genetic algorithm III, and biogeography-based optimization, the proposed model exhibits remarkable improvements, outperforming them by 11.4%, 5.6%, and 11.6%, respectively. …”
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Hybridization in Metal Wire Additive Manufacturing: A Case Study of an Impeller by Shahu R. Karade, Siddhartha Siddhartha, Neel Kamal Gupta, Ganesan G, K. P. Karunakaran, Henning Zeidler

“…This demonstrates a more efficient, precise, and cost-effective method to optimize metal wire AM for producing complex metal components, advancing capabilities and applications.…”
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Evaluation and Application of Environmental Value of Rural Land Resources Based on Improved GIS System by Xiaoyan Wang, LuHui Wang, Guohua Liu, Jiankun Chu

“…As the basis and material source of human production and life, land is an important part of natural resources. …”
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MEASUREMENT OF THE EFFECTIVENESS OF PUBLIC AID FOR FARMS IN POLAND by Marek Wigier, Marian Podstawka

“…Using data from the Polish FADN for 2008-2019, the authors of the study apply the modified PSM method to determine the economic effects of changes taking place on farms. …”
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