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Ecological space delineation and security analysis in the hilly areas of chongqing, China
Published 2025-04-01“…Taking Chongqing, China as a case study, this paper systematically developed an special evaluation system for ecosystem sensitivity (ES) and ecosystem service function (ESF) in hilly and mountainous areas, utilizing various sources of data from the year 2022 to support the delineation of ecological space types (EST), and analyzing ecological pattern security issues in conjunction with the current land use status. …”
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Feasibility and case studies on converting small hydropower stations to pumped storage
Published 2025-03-01“…Abstract Hydropower, as a controllable energy source, plays a crucial role in supporting essential functions such as peak shaving, frequency regulation, and load reserve within modern power systems, thereby enhancing the overall economic efficiency and safety of these systems. …”
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Ivacaftor–tezacaftor–elexacaftor, tezacaftor–ivacaftor and lumacaftor–ivacaftor for treating cystic fibrosis: a systematic review and economic evaluation
Published 2025-05-01“…The NICE typically considers interventions a cost-effective use of the NHS resources if the incremental cost-effectiveness ratio (ICER) sits below a cost-per-QALY threshold of £20,000–30,000. …”
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Production chain and COVID-19 disruption: Sustainability via flexibility framework a case of the beverage industry
Published 2025-01-01“…A purposive method was utilized as an information-gathering source from 200 participants. …”
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Overview of solutions to improve efficiency of ground source heat pump system
Published 2023-12-01“…Shallow geothermal energy, with applications ranging from road snow melting and deicing to building heating/cooling, primarily utilizes closed-loop vertical buried pipes for resource exploitation. …”
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Rice bran as a sustainable source for value added materials: an overview
Published 2024-12-01Get full text
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Electrophysiological characterization of sourced human iPSC-derived motor neurons
Published 2025-12-01Get full text
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices
Published 2025-07-01“…The proposed method enhances flexibility and ultimately increases system stability while maintaining diversity in energy sources. Additionally, the utilization of equipment such as various storage devices and P2G enhances system resilience, reducing load fluctuations and improving resource utilization. …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province
Published 2025-04-01“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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