Model Calculation of Enhanced Light Absorption Efficiency in Two-Dimensional Photonic Crystal Phosphor Films by Taehun Kim, Sanghoon Lee, Kyungtaek Min

“…A numerical estimation shows that the optimized 2D PhC QD film can enhance the light absorption by up to 4.2 times with a monochromatic source and by up to 1.8 times with a broadband (FWHM~30 nm) source compared to a flat-type reference QD film.…”
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Evaluation and improvement of the vertical accuracy of the global open DEM under forest environment by Jiapeng Huang, Xiaozhu Yang

“…Canopy height exhibits a higher correlation with the estimated accuracy of forest understory terrain. Finally, optimizing FABDEM based on the mathematical interpolation method using GEDI02_A reduces the RMSE from 8.46 m to 6.83 m. …”
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A Distributed Control Architecture for Autonomous Operation of a Hybrid AC/DC Microgrid System by R. Rahmani, A. Fakharian

“…EMS is designed based on two separate control parts, including proportional resonance (PR) and proportional integral (PI) controllers for managing the performance of two distribution generator (DG) and photo-voltaic (PV) sources. The novelty of implemented control scheme is the accurate prediction and recognition of load demand range with considering the DC bus voltage for coordinating the local sources. …”
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Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont by Fabrizio Angaroni, Alberto Peruzzi, Edgar Z. Alvarenga, Fernanda Pinheiro

“…To address this issue, we introduce Kinbiont—an open-source tool that integrates dynamic models with machine learning methods for data-driven discovery in microbiology. …”
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The System for Transforming the Code of Dataflow Programs into Imperative by Vladimir S. Vasilev, Alexander I. Legalov, Sergey V. Zykov

“…To run programs directly on existing computing systems, you need to use specific optimization and transformation methods that take into account the features of both the programming language and the architecture of the system. …”
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Classification of shale gas “sweet spot” based on Random Forest machine learning by NIE Yunli, GAO Guozhong

“…As a result, the proposed Random Forest machine learning method with multi-source information is an effective shale gas “sweet spot” classification and identification method.…”
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Adapting the Motion Algorithm of a Smart Building Facade Shade to the Behavioral Pattern of Oxalis Plant for Daylight Control (Case Study: Shiraz City) by Zahra Yarmahmoodi, Tahereh Nasr, Hamed Mozterzadeh

“…Considering that nature has always been a source of inspiration for humans and has sustainably operated over time, plants were selected as the inspiration source for designing the smart shade in this study. …”
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On the use of the scaled spherical wave expansions for recovering the target sound field in non-anechoic spaces by Chao Li, Ding-Yu Hu, Yong-Chang Li, Yuan Liu

“…In addition, a simplified formulation was developed specifically for target sources with rigid surfaces, further enhancing the method’s practicality. …”
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A Coordinated Communication and Power Management Strategy for DC Converters in Renewable Energy Systems by Feng Zhou, Takahiro Kawaguchi, Seiji Hashimoto, Wei Jiang

“…Effective communication among distributed energy sources (DESs) is essential for optimizing energy allocation across power sources, loads, and storage devices in integrated renewable energy and energy management systems. …”
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ELEKTRODEKOLORISASI LIMBAH CAIR PEWARNA BATIK DENGAN MEMANFAATKAN BATANG KARBON DARI LIMBAH BATERAI BEKAS by MSK Amal, F Febiyanto, A Soleh, M Afif

“…The purpose of this study is to decrease the concentration of the liquid waste of batik dye optimally by electrodecolorization method by utilizing the carbon rods of used batteries. …”
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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…To address these gaps, we propose an integrated, real-time adaptable LLM-based epidemic intelligence system, capable of correlating cross-source data, optimizing healthcare resource allocation, and supporting informed outbreak response. …”
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http://journal.ie.asm.md/assets/files/07_03_44_2019.pdf by Tatarinova N.V., Sushchikh V.M.

“…Its relevance is due to the necessity to improve calculation methods for cogeneration turbine units since they are still the main source of thermal energy in centralized heat supply systems. …”
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High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

“…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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Drying Characteristics of Chicken Manure Under a Variable Temperature Process by Xuanyang Li, Xiangtao Kang, Lei Xi, Qi Dou, Zhifang Shi, Tongshuai Liu, Limin Wang

“…In recent years, employing an auxiliary heat source, combined with residual heat from chicken house ventilation, to dry chicken manure has emerged as a novel manure treatment method. …”
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Digital Technologies in the Financial sector: Evolution and Major Development Trends in Russia and Abroad by D. A. Artemenko, S. V. Zenchenko

“…The research is based on the analysis of data provided by international consulting companies, analytical centers, and official data sources of the Central Bank (Bank of Russia). The authors apply methods such as comparative research, empirical, logical, graphical, analysis, interpretation, and comparison. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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For assessing the efficiency of risk management at trading enterprises by O. N. Chuvilova, A. A. Kazakova, I. R. Temirbulatova, R. S. Muslimov

“…The study is devoted to proving the feasibility of using a universal method to evaluate the effectiveness of risk management and eliminate the variety of evaluation criteria using a variety of risk assessment methods proposed in scientific sources. …”
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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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Entropy analysis of Darcy–Forchheimer flow of couple-stress TiO2-CoFe2O4/engine oil based hybrid nanofluid between two rotating disks considering hall effect by Sk Enamul, Seetalsmita Samal, Surender Ontela

“…The semi-analytical methodology known as the homotopy analysis method (HAM) is then applied to the solution. Critical parameters such as the inertial coefficient, heat source parameter, nanoparticle concentration, and magnetic field parameter are analyzed graphically. …”
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