Energy nexus最新文献

{"title":"Greening enhanced oil recovery: A solar tower and PV-assisted approach to post-combustion carbon capture with machine learning insights","authors":"Farzin Hosseinifard ,&nbsp;Milad Hosseinpour ,&nbsp;Mohsen Salimi ,&nbsp;Majid Amidpour","doi":"10.1016/j.nexus.2025.100381","DOIUrl":"10.1016/j.nexus.2025.100381","url":null,"abstract":"<div><div>Carbon Capture Utilization and Storage (CCUS) has become a cornerstone in reducing industrial emissions, mainly through Enhanced Oil Recovery (EOR) in underground reservoirs. Conventional post-combustion carbon capture (PCC) systems, however, face significant energy penalty challenges. This study introduces an innovative solar-assisted approach to optimize the EOR factor while reducing the energy penalty. The proposed system uniquely integrates solar tower heliostats and photovoltaic (PV) systems with up to 7 h of energy storage, marking a dual solar energy integration as the core innovation. This hybrid configuration reduces the energy penalty factor from 21.2 % to 7.4 %. To further enhance operational efficiency, the study incorporates a novel compression stream configuration with process integration into the PCC system. Machine learning models, including linear regression, random forest, decision tree, and XGBoost, were employed to model and predict EOR factors using CO₂ streams from a large-scale carbon capture unit at the Abadan power plant in Iran. The decision tree model achieved superior performance with an R² of 0.98 and accurately forecasted an increase in EOR factor from 19 % to 43.16 %. By combining solar-driven energy systems with advanced CO₂ capture and predictive modeling, this study establishes a sustainable and energy-efficient framework for EOR enhancement. The dual integration of solar towers and PV systems represents a significant leap in reducing fossil fuel dependence and carbon emissions while demonstrating practical applicability in high-emission regions like Abadan.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100381"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimisation of flow configuration for PVT system assisted by MgO nanoparticles PCM cooling","authors":"W. Phukaokaew ,&nbsp;A. Suksri ,&nbsp;K. Punyawudho ,&nbsp;T. Wongwuttanasatian","doi":"10.1016/j.nexus.2025.100389","DOIUrl":"10.1016/j.nexus.2025.100389","url":null,"abstract":"<div><div>To improve the global environment, it is essential to address the significant concerns raised by the rising energy demand. Thermal photovoltaic (PVT) systems enjoy widespread popularity. These systems convert solar energy into electrical/thermal energy; however, elevated temperatures cause problems. Magnesium oxide (MgO) nanoparticles and lauric acid (LA) phase change material (PCM) were utilized. The two were combined and filled into a container. The container's distinctive design incorporates a fully organized micro-channel structure as well as eight integrated water tubes. The system works by first absorbing waste heat from the PV module and then directing it into the water tubes for further utilization. The study also examined the effects of water tube configurations, using three different types: a U-tube, a half-serpentine flow, and a serpentine flow. These configurations affected the absorption of heat from the PV panel, which improved both the power generation and the overall efficiency of the PVT system. Furthermore, the investigation tested the PVT system's water inlet using dimensionless water flow (Reynolds numbers, <em>Re</em>) levels ranging from 1100 to 7700. The findings indicate that every level of <em>Re</em> increases electrical efficiency, with the U-tube configuration approach producing the maximum value. In addition, when it comes to thermal efficiency, serpentine flow configurations yield the highest improvement. The most optimal tube arrangement is a serpentine configuration at <em>Re</em> = 5500, which reduces the PV surface temperature by 3.14 °C while achieving the highest overall efficiency of 80.63 %.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100389"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic assessment of PV-diesel-battery hybrid systems for poultry farms: A case study in North Carolina","authors":"Weimin Wang,&nbsp;David Simonson","doi":"10.1016/j.nexus.2025.100372","DOIUrl":"10.1016/j.nexus.2025.100372","url":null,"abstract":"<div><div>This paper presents the techno-economic assessment of PV-diesel-battery hybrid systems for poultry farms via the use of HOMER simulation software. A generic configuration is defined separately for grid-tied and off-grid systems. Major component sizes are then optimized for eight cases with varying utility rates and solar power compensation mechanisms. The case study is based on a farm with three mega-size broiler houses in North Carolina. The results show that after leveraging federal incentives, grid-tied PV investment is profitable only for one case, which has a 20-kW PV as the optimal size and leads to the net present cost $3,200 less than the base case of not using PV. Battery is not yet cost effective at current market conditions. The off-grid hybrid system has $370,000 to $560,000 higher net present cost than the grid-tied systems. The battery price, the PV price, and the diesel price have an ascending order of significance with respect to their impact on the net present cost for the off-grid hybrid system.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100372"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical analysis of Savonius hydrokinetic turbine performance in straight and curved channel configurations","authors":"Shanegowda T G ,&nbsp;Shashikumar C M ,&nbsp;Veershetty Gumtapure ,&nbsp;Vasudeva Madav","doi":"10.1016/j.nexus.2025.100382","DOIUrl":"10.1016/j.nexus.2025.100382","url":null,"abstract":"<div><div>The global shift towards renewable energy has driven research into efficient hydrokinetic energy harvesting, particularly using Savonius turbines for their simplicity and adaptability to low-flow environments. While previous studies have focused primarily on straight channels, the impact of channel bends, commonly found in agricultural canals, rivers, and irrigation channels, remains underexplored. The present 3D transient numerical study addresses this gap by investigating the performance of Savonius hydrokinetic turbines in channels with 30°, 60°, and 90° bends, evaluating their efficiency under varying flow conditions. The research aims to evaluate the impact of these channel bends on key performance parameters such as the tip speed ratio (TSR), torque coefficient (C_T) and power coefficient (C_P), supported by detailed pressure and velocity contour analyses. The turbine positioned in the 30° bend emerged as the most efficient configuration, achieving a C_Tmax of 0.29 at 0.7 TSR and C_Pmax of 0.24 at 1.0 TSR. The 60° and 90° bends exhibited efficiency reductions of 15 % and 30 %, respectively, due to adverse pressure gradients and increased turbulence. Velocity contour plots demonstrated reduced wake regions and optimized flow reattachment for the 30° bend, while pressure contour analysis indicated lower drag forces on the advancing blades. This study highlights the potential of using Savonius turbines in agricultural channels, recommending the 30° bend as the optimal channel configuration to maximize turbine efficiency, providing a sustainable solution for energy generation in rural and low-flow environments.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100382"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kinetic and thermodynamic insights into sewage sludge torrefaction: Energetic optimization and safety considerations","authors":"Blanca Castells ,&nbsp;Roberto Paredes ,&nbsp;David León ,&nbsp;Isabel Amez","doi":"10.1016/j.nexus.2025.100377","DOIUrl":"10.1016/j.nexus.2025.100377","url":null,"abstract":"<div><div>In the current energetic scenario, biofuels play a crucial role, with torrefaction being one of the most popular pretreatments as it significantly reduces the main disadvantages of these fuels. This study provides novel insights into torrefied sewage sludge as a solid biofuel by examining both the energetic conversion process and associated safety issues. To do so, torrefaction was carried out at three different temperatures (220 °C, 250 °C, and 300 °C) and two residence times (30 and 60 min), resulting in seven distinct samples. These samples underwent proximate analysis, thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC) in air, nitrogen, and oxygen atmospheres to simulate combustion, pyrolysis, and determine heating values respectively. The analysis reveals that torrefaction at 300 °C for 60 min produces the best results, enhancing the higher heating value (HHV) by 6% and increasing reaction heat by 16%. Additionally, we observed lower pyrolysis activation energies in samples torrefied for 30 min compared to 60 min. The kinetic parameters were meticulously evaluated, showing a clear relationship between torrefaction parameters and pyrolysis activation energy. For instance, the activation energy (<em>Ea</em>) for raw sewage sludge was found to be between 338.02 kJ/mol and 375.43 kJ/mol. In contrast, torrefied samples showed reduced <em>Ea</em> values mostly under 300 kJ/mol. For the first time, we assessed self-ignition risk through TGA, finding that while most samples exhibit low risk, the increased heating value from torrefaction does elevate this risk. This comprehensive evaluation not only advances the understanding of sewage sludge torrefaction but also offers a practical framework for integrating biofuels into sustainable energy systems, supporting global efforts toward cleaner energy transitions.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100377"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic and life cycle greenhouse gas assessment of green ammonia produced by low-pressure Haber-Bosch process","authors":"Guohui Song ,&nbsp;Yumeng Chen ,&nbsp;Yingfeng He ,&nbsp;Qize Jia ,&nbsp;Qingjiao Wu ,&nbsp;Xiaobo Cui ,&nbsp;Hao Zhao","doi":"10.1016/j.nexus.2025.100379","DOIUrl":"10.1016/j.nexus.2025.100379","url":null,"abstract":"<div><div>Green ammonia can be used as an energy storage carrier and a sustainable chemical. To improve the competitiveness of green ammonia, two power-to-ammonia (PtA) processes integrated with low-pressure (LP) and ultra-low-pressure (ULP) Haber-Bosch (HB) techniques were designed and optimized based on technical, economic, and environmental performances. The effects of multiple variables were studied. The LP technique is preferred over the ULP technique because the latter has a more complex configuration and a slightly higher levelized cost. The systematic energy efficiency excluding or including the cold energy of liquid ammonia reaches 68.71 % or 73.75 %, respectively. The unit power consumption of green ammonia is as low as 7.64 kWh/kg. The plant scale should not be &lt;10 t/h. Based on the electricity price for energy storage (0.041 €/kWh), the equivalent operating hours should exceed 5000 h to achieve profitability. The life cycle greenhouse gas emission of green ammonia derived from wind power under the Chinese scenario is 257–316 kgCO₂e/t. The life cycle ammonia emissions with NH₃ recovery from the purge gas is &lt;0.06 kgNH₃/t. This study indicates that the PtA technology can efficiently store intermittent electricity with cold energy utilization and effectively decarbonize the ammonia industry.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100379"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recrystallization of tri-sodium phosphate from Thai monazite concentrate decomposition as solid catalyst for biodiesel production","authors":"Dussadee Rattanaphra ,&nbsp;Wilasinee Kingkam ,&nbsp;Sasikarn Nuchdang ,&nbsp;Chantaraporn Phalakornkule ,&nbsp;Unchalee Suwanmanee","doi":"10.1016/j.nexus.2025.100385","DOIUrl":"10.1016/j.nexus.2025.100385","url":null,"abstract":"<div><div>Tri-sodium phosphate (TSP) obtained from alkaline baking process of Thai monazite concentrate was used as raw material to synthesize the solid catalyst for biodiesel production. The TSP catalysts were prepared via recrystallization method with the ratio of Na₃PO₄·12H₂O: H₂O of 1:15 by lower temperature from 80 to 30 °C using stirring rate of 400 rpm and calcined at 300–700 °C. The catalytic performances were evaluated in the transesterification of palm oil with methanol. According to the results, the radioactive material (uranium) of &lt; 10 mg kg^-1 was detected after recrystallization, which was considered safe to use as catalyst. The TSP calcined at 600 °C showed active pure tetragonal phase with high basic sites strength and basicity, and can produce the highest fatty acid methyl ester (FAME) content of 91 % under the reaction conditions: the molar ratio of oil to methanol of 1:9, the catalyst loading of 5 wt %, the reaction temperature of 80 °C and the reaction time of 5 h. There was a significant leaching of active Na⁺ during the reaction. The improvement of stability and reusability of the catalyst and economic analysis will be further investigated for its utilization in the large-scale biodiesel production. This development can enhance the economic value of TSP as by product obtained from mineral monazite processing and also provides an idea for designing the economic viability of rare earth production.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100385"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm","authors":"Mousa Mirmoradi ,&nbsp;Mohammad Gholami Parashkoohi ,&nbsp;Hamed Afshari ,&nbsp;Ahmad Mohammadi","doi":"10.1016/j.nexus.2025.100392","DOIUrl":"10.1016/j.nexus.2025.100392","url":null,"abstract":"<div><div>This study focuses on optimizing energy efficiency and environmental performance in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA). Conducted in the Dasht-e Gorgan region of Iran, the research provides a comprehensive analysis of energy inputs and outputs for both crops. The findings reveal distinct differences in energy utilization, with cotton requiring significantly more labor (120 h) and machine energy (6,270 MJ) compared to canola, which utilizes less labor (79 h) and machine energy (2,821.5 MJ). However, canola's dependency on diesel fuel is higher, consuming 6,757.21 MJ against cotton's 5,631 MJ. While cotton demonstrates greater nitrogen energy utilization at 7,810 MJ, canola's nitrogen consumption by volume is 10,153 MJ. Furthermore, cotton production incurs higher biocide energy inputs (1,750 MJ) due to pest management challenges. Total energy consumption per hectare is slightly higher for cotton (26,083.80 MJ) relative to canola (25,747.04 MJ), yet cotton yields greater output (2,900 kg vs. 2,300 kg), indicating superior yield efficiency. Energy use efficiency favors canola with a conversion rate of 2.23 compared to cotton's 1.31, as well as a significantly higher net energy gain (31,752.96 MJ ha^–1 for canola versus 8,136.20 MJ ha^–1 for cotton). Environmental impacts also differ; canola's fertilizer use contributes more nitrogen oxides and ammonia, potentially affecting water quality, while cotton's labor-intensive methods lead to increased emissions of heavy metals and CO₂. In terms of human health impacts, cotton shows a lower Disability-Adjusted Life Years (0.064 DALY) compared to canola (0.089 DALY). Financially, cotton demonstrates lower resource intensity (115.36 USD2013) than canola (187.56 USD2013). To mitigate the environmental effects associated with both crops, this study recommends strategies such as precision agriculture, the integration of renewable energy, and enhancements in soil health, all aimed at improving overall sustainability in cotton and canola production.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100392"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative swarm robotics for sustainable environment monitoring and exploration: Emerging trends and research progress","authors":"Belkacem Khaldi ,&nbsp;Fouzi Harrou ,&nbsp;Ying Sun","doi":"10.1016/j.nexus.2025.100365","DOIUrl":"10.1016/j.nexus.2025.100365","url":null,"abstract":"<div><div>This study explores the application of swarm robotics and swarm and evolutionary computing techniques in environmental management and sustainability, a highly specific and increasingly demanding niche research area. Through a bibliometric analysis of two collections of peer-reviewed papers, key trends and emerging research areas are identified. The first collection, comprising approximately 450 papers, focuses on specific applications of swarm robotics systems in environmental use cases, including swarms of UAVs, AUVs, and USVs, particularly in tasks such as ecological monitoring, agricultural management, and disaster response. This analysis highlights essential keyword clusters, with ``ecological restoration'' emerging as a significant topic, and ``agricultural robots'' and ``remote sensing'' as active frontiers. Building on this analysis, eight directions are proposed to address environmental challenges across five categories. The second collection, consisting of around 198 papers, examines the different swarm and evolutionary computing algorithms employed in this niche area, identifying ten significant research clusters. Notably, the ``secure incentive mechanism'' is a trending area, emphasizing the development of reliable and secure cooperative multi-robot systems. Recent methods in this cluster utilize deep reinforcement learning and heuristic algorithms to enhance cooperation efficiency. Five potential directions categorized into two main groups are explored to address security and reliability challenges within swarm robot systems in environmental tasks. The findings underscore the critical role of swarm robotics in environment-focused tasks such as ecosystem recovery and the importance of secure cooperation mechanisms, paving the way for advancements in agriculture, resource management, intelligent infrastructure, and urban systems.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100365"},"PeriodicalIF":8.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of food wastes from the hotel industry as a potential feedstock for energy production","authors":"Emily Machuma Muchele ,&nbsp;Booker Osodo ,&nbsp;Isaiah Omosa ,&nbsp;Emmanuel Yeri Kombe","doi":"10.1016/j.nexus.2025.100364","DOIUrl":"10.1016/j.nexus.2025.100364","url":null,"abstract":"<div><div>Food waste contribute to 38% of total Municipal Solid Wastes (MSW) in Kenya and end up in landfills. Due to high competition in the available space, most cities, including Nairobi, do not have enough space for landfills. Therefore, there is a need for efficient ways to manage the generated waste. Developed countries have embraced Waste-to-Energy technologies, minimizing waste generation and converting generated waste into energy and other resources. Waste characterization is a key element in the energy generation process not only to identify important parameters but also to guide biomass source segmentation. In this study, food wastes were collected from 21 hotels within Nairobi City County, in different mixed ratios and subdivided into five samples for investigation and analysis. The average feedstock characteristics were observed to be moisture content (6.0%, <em>p</em> &lt; .001, <em>R²</em> = 90.70 %), total solid (93.7%, <em>p</em> &lt; .001, <em>R²</em> = 99.97 %), volatile solid (84.3%, <em>p</em> &lt; .001, <em>R²</em> = 99.80 %), ash content (4.2%, <em>p</em> = .005, <em>R²</em>= 48.54 %), fixed carbon (5.4%, <em>p</em> &lt; .001, <em>R²</em> = 88.61%), nitrogen (3.6%, <em>p</em> = .04, <em>R²</em> = 36.81 %), carbon to nitrogen ratio C/N (4.0), crude protein (22.4%, <em>p</em> = .004, <em>R²</em> = 49.36 % ), crude lipids (12.1%, <em>p</em> &lt; .001, <em>R²</em> = 89.06 %), total organic carbon (44%, <em>p</em> &lt; . 001, <em>R²</em> = 94.70%), potassium (0.6%), sodium (1.2%), calcium (0.2%), and phosphorus (0.4%). The potassium, sodium, calcium and phosphorus <em>p</em> and <em>R²</em> values all calculated together were p &lt; .001 and <em>R²</em>= 72.35%. The results showed a significant difference in the means of the samples with the majority of the parameters registering a strong positive correlation of above 50%. The analysis revealed that the feedstock under investigation contained well-balanced parameters for briquette, biogas, syngas and biochar production. Therefore, the findings of this research provide vital knowledge in integrating energy production from food wastes thereby improving the efficiency of food waste utilization.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100364"},"PeriodicalIF":8.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}