In-Silico Investigation of Photovoltaic Performance of MgXS3 (X = Ti and Zr) Chalcogenide Perovskites Compounds by M.A. Olopade, O.O. Oyebola, R.O. Balogun, A.D. Adewoyin, A.B. Adegboyega

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Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach by Yingying Du, Haibin Liu, Hui Huang, Jiazeng Zhang, Yajie Wang

“…Key findings include: (1) The CVAT method's determination of responsibility sharing coefficients aligns with fairness and efficiency principles, resulting in a more equitable distribution of implied carbon emission responsibilities conducive to achieving fair carbon emission reduction. (2) Over the research period, national implied carbon emissions exhibited an upward trajectory, increasing from 3.305 billion tons in 2002 to 9.726 billion tons in 2017, with Shandong, Hebei, and Jiangsu provinces ranking among the top emitters in China. (3) Eastern coastal and western regions function as net carbon transfer out regions, while the central, northeast, and southwest regions act as net carbon transfer in regions. (4) The implied carbon transfer network demonstrated relative stability throughout the study period, with Shandong, Hebei, Jiangsu, and Inner Mongolia emerging as major carbon transfer provinces. …”
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Experimental and Numerical Study to Enhance Granule Control and Quality Predictions in Pharmaceutical Granulations by Maroua Rouabah, Inès Esma Achouri, Sandrine Bourgeois, Stéphanie Briançon, Claudia Cogné

“…The DEM model was evaluated by comparing its output with experimental data collected from a 0.5 L high-shear granulator. …”
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Propagation Operator Based Boundary Condition for Finite Element Analysis by Keita Morimoto, Akito Iguchi, Yasuhide Tsuji

“…A new efficient boundary condition of finite element method (FEM) by using propagation operator is proposed. …”
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Superimposed AC Signal Frequency Droop Assisted Scheme for Decentralized Power Management of Grid-Forming Controlled DC MG Including Multiple PMSG-WTs, DSs, and BESS Units by Sajad Ghadiriyan, Mohsen Rahimi

“…Inspired by frequency signaling methods used in AC microgrids, our approach introduces a corrective AC signal superimposed on the reference DC output voltages of the controllers. …”
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Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation by Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU

“…Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and scalability, an accelerated unconstrained latent factorization of tensor (AULFT) model was proposed.The proposed model consisted of three main parts.The non-negative constraints from decision parameters were transferred to output latent factors and they were connected through the single-element-dependent mapping function.A momentum-incorporated stochastic gradient descent (MSGD) algorithm was used to effectively improve the convergence rate and estimation accuracy of the proposed AULFT model.The detailed algorithm and result analysis of the proposed AULFT model were presented.The empirical study on two dynamic QoS datasets in real industrial applications demonstrates that the proposed AULFT model has higher computational efficiency and estimation accuracy than the state-of-the-art QoS estimation models.…”
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Analysis of subjective well-being in European Union countries: Group DEA and NPE by Marta Dziechciarz, Maciej Szczeciński

“…The research is a two-pronged examination of selected factors determining well-being in the identified homogeneous groups of EU countries.MethodsThe clustering approach focused on similarities in “inputs and outputs” variables, incorporating key determinants of public health, particularly healthcare system efficiency, social protection policies, and education quality. …”
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Ontography Design for Children and Young Adults as a Knowledge Representation Tool: Relying on Re-engineering Methodology by azita malmir, Afshin Mousavi-chelak, soraya ziaei, Faeze Delghandi

“…Also, the ontology of children and young adults can be one of the useful and efficient tools of knowledge representation in this field. …”
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How Does Energy Harvesting from a Fluttering Foil Influence Its Nonlinear Dynamics? by Dilip Thakur, Faisal Muhammad, Muhammad Saif Ullah Khalid

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Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty by SONG Duoyang, XUE Tianliang, LI Yipu, TU Jintong, BI Yuhao, WANG Mankang

“…With the increase in the number of distributed energy sources, the volatility of their power output and the problem of their returns after aggregation still need to be solved. …”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…However, short-circuit faults in power switches are common in CSI systems, leading to a periodic output current distortion. While previous fault diagnosis methods have primarily focused on CSI systems using conventional control strategies, this study introduces a novel approach based on the MPC method to enhance the reliability of current source converters by diagnosing short-circuit faults in power switches. …”
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Uncertainty-aware multi-objective growth optimizer of EV charging stations allocation in unbalanced grids by Abdullah M. Shaheen, Aya R. Ellien, Adel A. El-Ela, Ali M. El-Rifaie

“…The proposed approach incorporates key sources of uncertainty, such as variability in base electrical loads, intermittent outputs from renewable energy sources (RESs), and stochastic patterns of BEV charging behavior, using Hong’s Three-Point Estimate Method (H3PEM). …”
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Optimal scheduling of distributed shared energy storage based on optimal SOC interval by Tong Zhang, Liudong Zhang, Yan Chen, Zhiqiang Peng

“…While conventional day-ahead robust optimization algorithms specify ESS power output for each period, they struggle to adjust schedules due to time-dependent constraints like renewable energy output and ESS state limitations. …”
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THE SCIENTIFIC APPROACH OF DETERMINATION POULTRY GRADE AND POULTRY PRODUCTS by V. N. Makhonina, V. P. Agafonychev

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Numerical simulation of crack propagation behavior of a semi-cylindrical specimen under dynamic loading by Ghorban Khandouzi, Mohsen Mollashahi, Mojtaba Moosakhani

“…Therefore, numerical methods can be used to solve these problems. The Extended Finite Element Method (X-FEM) as a powerful and efficient tool can be used for this purpose. …”
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Methodology of Precision Financial and Production Management of Balanced Development of Industrial Corporations by ALEXEY N. Bogatko

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Integrating 3D printing, simulations and surrogate modelling: A comprehensive study on additive manufacturing focusing on a metal twin-cantilever benchmark by C. Mallor, S. Lani, V. Zambrano, H. Ghasemi-Tabasi, S. Calvo, A. Burn

“…The reduced order method for creating the surrogate model is based on tensor decomposition and designed for easy integration into a digital twin, while preserving the underlying physics by retaining the effects of input variables on the final output. …”
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Signal correction for combinational automation devices on the basis of Boolean complement with control of calculations by parity by V. V. Sapozhnikov, Vl. V. Sapozhnikov, D. V. Efanov

“…In fault-tolerant structure synthesis, the parity method is used to establish the fact of a fault in the main logic unit and the logical complement method is used determine incorrectly calculated output functions and to generate signals for their correction. …”
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Robust and Adaptive Tuning of PI Current Controllers for Grid-Forming Inverters by Florian Reisner, George Weiss

“…The filter inductances are usually small, to avoid high costs, such that tiny voltage measurement-, delay-, or PWM timing-errors can cause large deviations in the output currents. This is mitigated by employing fast output current controllers (OCCs), which allow us to correct the effect of measurement errors and delays and accurately track the reference currents. …”
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A novel simulation and supervised machine learning-based prediction framework to predict the total transportation and energy costs for single-family households by Vinay Gonela, Raghavan Srinivasan, Atif Osmani

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