Two-layer energy scheduling of electrical and thermal smart grids with energy hubs including renewable and storage units considering energy markets by Walid Aich, Ali Basem, Narinderjit Singh Sawaran Singh, Kuwar Mausam, Zahraa Abed Hussein, Saurav Dixit, Naim Ben Ali, Lotfi Ben Said, Wajdi Rajhi, Loghman Mostafazadeh

“…Problem-solving is undertaken using a hybrid optimization solver that combines artificial bee colony and honey-bee mating optimization methods. …”
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Low-Frequency Performance Analysis of Semi-Active Cab’s Hydraulic Mounts of an Off-Road Vibratory Roller by Vanliem Nguyen, Jianrun Zhang, Xiuzhi Yang

“…This study proposes an optimal fuzzy-PID control method for semi-active cab’s hydraulic mounts based on an off-road vehicle roller dynamic model to analyze the low-frequency performance of semi-active cab’s hydraulic mounts under the different operating conditions. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…However, problems exist in traditional calibration methods, such as excessive error parameters, error accumulation, and difficulty in obtaining the optimal solution of statically indeterminate equations. …”
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TAX AND DEBT STRATEGY OF FISCAL REGULATION OF THE TRANSITIVE ECONOMY by V. K. Giraev

“…Also, it is grounded the most desired quantitative relation between tax and debt burden. Methods. In the article, we used a content analysis of the optimization and descriptive analytical models of the relationship of fiscal expansion (spending) of the state and economic growth. …”
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Outage probability for cooperative communication system with asymmetric channel by CHUAI Gang1, LIU Sheng1, WEN Xiao-jun1

“…Firstly, a mathematical model of cooperative system in asymmetric channel considering the link diversity gain between the source and destination was presented. An analytical expression of the average outage probability which was proved accurate by simulation was derived by using the method of characteristic function. …”
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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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Outage probability for cooperative communication system with asymmetric channel by CHUAI Gang1, LIU Sheng1, WEN Xiao-jun1

“…Firstly, a mathematical model of cooperative system in asymmetric channel considering the link diversity gain between the source and destination was presented. An analytical expression of the average outage probability which was proved accurate by simulation was derived by using the method of characteristic function. …”
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Minimum PV curtailment for distribution networks based on moment difference analysis theory by Yi Wang, Junyong Wu

“…This validates the correctness and rapidity of the method, making it suitable for real-time optimization and scheduling for minimum PV curtailment in DNs.…”
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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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Simulation of extreme flood events for risk assessment for flood control of a reservoir-lake-river system under spatially dependent uncertainties by Huili Wang, Bin Xu, Jianyun Zhang, Guoqing Wang, Ping-an Zhong, Xinman Qin, Xuesong Yang, Ran Mo, Jinshu Li, William W.-G. Yeh

“…New hydrological insights for the region: The results show that the proposed method can effectively simulate the spatial interdependencies of risk source variables based on limited historical data. …”
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Machine learning for defect condition rating of wall wooden columns in ancient buildings by Yufeng Li, Wu Ouyang, Zhenbo Xin, Houjiang Zhang, Shuqi Sun, Dian Zhang, Wenbo Zhang

“…The RBF neural network model achieved the highest accuracy (94.57 %) on the feature fusion dataset, while Grey Wolf Optimizer (GWO) optimization further improved accuracy to 96.74 %. …”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…The experimental results show that the method achieves superior performance in both the new view synthesis task and the 3D reconstruction task, outperforming other classical methods. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…The objective function of the optimization problem is defined as the sum of squared errors of the actual and predicted voltage data. …”
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Implementation of public tasks in the light of responsibility for the effective spending of public funds by Zbigniew Tetłak

“…In the Public Finance Act (Article 44), the legislator linked the effectiveness of spending public funds with the effectiveness and optimization of the selection of methods for achieving set goals and the timely implementation of incurred obligations. …”
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Functional features of photosynthetic apparatus of modern high-yielding winter wheat varieties by В. В. Моргун, О. О. Стасик, Д. А. Кірізій, Г. О. Прядкіна

“…The superiority for grain productivity of modern high-yielding wheat varieties, originated from the Institute of Plant Physio­logy and Genetics, NAS of Ukraine, over varieties released before the “green revolution”, results from increased capacity and durability of functioning the crop photosynthetic apparatus, higher CO2 assimilation rate and optimization of source-sink relations in whole plant.…”
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Spicy Food Ingredient from Red Habanero By-Product Obtained by Ultrasound-Assisted Extraction by António Toscano, Andreia F. R. Silva, Maria P. Ramos, Norton Komora, Filipa V. M. Silva, Patrícia Fradinho

“…., capsaicinoids, carotenoids, phenolics, etc.) and can serve as a source of <i>Capsicum</i> oleoresins, providing spice and color ingredients for food products. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. …”
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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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