Thermodynamic assessment of hybrid solar-geothermal organic Rankine cycle: An exergy and energy-based analysis by Mohammad Alrbai, Ahmad Al Masri, Sura Abu-Dabaseh, Mosa Abusorra, Hassan Hayajneh

“…The problem is approached by analyzing exergy destruction within key components, using the entropy method, and evaluating the impact of different working fluids. …”
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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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ANALYSIS OF FACTORS INFLUENCING THE IMPLEMENTATION OF NURSING SUPERVISION BY THE HEAD OF THE ROOM: A SCOPING REVIEW by Endang Nilaprapti, Lidia Hastuti, Wida Kuswida Bhakti

“…Objective: This research uses the Scoping review method Data Sources: In the search using data sources from Google Scholar, Scient Direct and Pubmed. …”
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An integrated ecosystem monitoring technology for coal mining subsidence areas and its application in the Shendong mining area by Yang CHENG, Wei LIU, Na ZHANG, Guanjie LI, Kai LIU, Chengye ZHANG, Jun LI

“…The Shendong ecosystem monitoring platform, integrating models including the efficient organization and management model of multi-source data and the intelligent decision-making model, enables the management and spatiotemporal collaborative processing of multi-source heterogeneous big data, as well as the intelligent decision-making for ecological restoration based on the big data from multi-source monitoring, facilitating the ecological restoration engineering and routine plant care in the Shendong coal mining subsidence area. …”
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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

“…The harmonic monitoring data of an actual power grid is used to verify the proposed method, and it is proved that the proposed method can use the existing statistical harmonic monitoring data to allocate the harmonic responsibility of each harmonic source in a reasonable time scale under background harmonic changes, which can provide new ideas for the division of responsibility for multiple harmonics during the operation of the actual power system.…”
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Role of mineral resource rents, renewable energy, and energy efficiency toward carbon neutrality in China by Asif Raihan, Grzegorz Zimon, Mohammad Ridwan, Md Masudur Rahman, Mahdi Salehi

“…In order to effectively address global warming, policymakers and practitioners must prioritize the allocation of funds to the creation of green and alternative energy sources, the improvement of energy effectiveness, and the optimization of resource utilization.…”
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Analysis of Landscape Fragmentation Evolution Characteristics and Driving Factors in the Wei River Basin, China by Changzheng Gao, Qisen Dang, Chu Li, Yongming Fan

“…The edge density index (ED), the landscape division index (DIVISION), the landscape shape index (LSI), and the Shannon diversity index (SHDI) have increased annually, while the contagion index (CONTAG) and area-weighted mean patch size (Area_AM) have continuously decreased; (2) Landscape fragmentation in the Wei River basin is characterized by stable changes in the source and tributary fragmentation areas, a concentrated distribution of fragmentation in the tributaries, and a significant increase in fragmentation in the main stream; (3) The analysis using the geographic detector method indicates that vegetation coverage (FVC), human activity intensity (HAI), and land use/land cover change (LUCC) are the main driving factors of landscape fragmentation in the Wei River basin. …”
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Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach by Ting Ni, Xiaohong Zhang, Peng Leng, Mark Pelling, Jiuping Xu

“…Abstract The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. …”
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Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents by LI Jiayu, WANG Jianjun, LIU Yanchao, LIU Jie, LI Hao, JIANG Junjie, TENG Jialun

“…Additionally, a strategy for selecting critical safety constraints based on an iterative method is introduced, enhancing solution efficiency by focusing solely on crucial safety constraints in the optimization model to satisfy all feasible power flows. …”
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Design and Finite Element Analysis of Brake Disc Heat Dissipation Rib for Urban Rail Transit Vehicle by WU Na, SONG Hao, YANG Jianwei, WU Chunguang, WANG Chengxu

“…[Result & Conclusion] Both the design schemes of the wheel-mounted straight-plate heat dissipation ribs and the axle-mounted cylindrical heat dissipation ribs significantly optimize the heat dissipation paths, improving the transfer efficiency of heat from the heat source to the external cooling medium. …”
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A Semianalytical Approach for Production of Oil from Bottom Water Drive Tight Oil Reservoirs with Complex Hydraulic Fractures by Shuhui Dai, Chunqiang Chen, Hao Wang, Zhaohui Fu, Dameng Liu

“…Based on the fractal theory, a semianalytical model is presented to simulate a complex fracture system by using the volumetric source method and superposition principle, and the solutions are determined iteratively. …”
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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Our method presented can be used as an auxiliary tool for reduction pipeline optimization and improving source measurements, and it deserves wide applications in similar tasks.…”
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Analysis and Calculation of Energy Storage Configuration in Power System by Yu DONG, Gaofeng FAN, Cun DONG, Ruoying YU, Junyi ZHAO

“…Starting from the overall operation demand of the power system, this paper summarized three key factors that should be considered for the energy storage configuration: the source-grid-load development, the replacement effect of energy storage on conventional units, and the comprehensive optimization of energy storage charging/discharging strategies. …”
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Real-Time LiDAR–Inertial Simultaneous Localization and Mesh Reconstruction by Yunqi Cheng, Meng Xu, Kezhi Wang, Zonghai Chen, Jikai Wang

“…Firstly, to reduce the odometry drift errors we use scan-to-map matching, and inter-frame inertial information is used to generate prior relative pose estimation for later LiDAR-dominated optimization. Then, based on the motivation that the unevenly distributed residual terms tend to degrade the nonlinear optimizer, a novel residual density-driven Gauss–Newton method is proposed to obtain the optimal pose estimation. …”
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Thermal Degradation of β-Carotene from Macauba Palm: Mathematical Modeling and Parameter Estimation by Pedro Prates Valério, Amanda Lemette Brandão, Jesus Maria Frias Celayeta, Erika Cristina Cren

“…The kinetic parameters from both models were estimated through a hybrid optimisation method using the Particle Swarm Optimization and the Gauss-Newton method, followed by statistical analyses. …”
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Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…It has been widely used in freshwater and seawater analysis, but for saline water samples with higher salinity, the method has not been studied in depth.OBJECTIVESTo establish an analytical method for the determination of nitrate nitrogen and nitrite nitrogen in saline water and brackish water using a fully automatic flow injection analyzer to expand the scope of application of the instrument and achieve simultaneous determination of nitrate nitrogen and nitrite nitrogen in saline water, brackish water and freshwater.METHODAn analytical method suitable for the determination of nitrate nitrogen and nitrite nitrogen in saline and brackish water was established using a fully automatic flow injection analyzer after optimizing experimental conditions such as instrument working parameters, the affection of sulfonamide and N-(1-naphthyl) ethylenediamine concentration, the ammonium chloride concentration and pH value in buffer solution.RESULTSThe optimal instrumental operating conditions were selected through condition optimization experiments. …”
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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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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

“…The simulation results of the proposed method have been compared with type-1 fuzzy MPC and conventional droop controller, demonstrating that the proposed controller has better and faster performance than other methods.…”
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Intelligent agent orchestration for climate-resilient energy systems: Autonomous management of renewable integration and distributed resources by Kravari Kalliopi, Roussi Maria, Ladomenou Kalliopil, Thysiadou Anna, Chalaris Michail

“…The proposed MAS is expected to aid in developing more sustainable, resilient, and climate-resilient energy systems by virtue of support from distributed intelligence and adaptive control methods. A simulation case study, focusing on the Greek energy sector and its susceptibility to climate effects, will show the effectiveness of the suggested MAS in enhancing energy system resilience as well as renewable energy optimization.…”
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