{"title":"Performance optimization of natural updraft gasifier stoves: Impact of air hole configuration and biomass fuel characteristics on combustion efficiency","authors":"Sopa Cansee , Sarawut Saenkham , Worawoot Promtow , Shenghua Hu , Teerasad Kanasri","doi":"10.1016/j.nexus.2025.100480","DOIUrl":"10.1016/j.nexus.2025.100480","url":null,"abstract":"<div><div>This study investigates the development and performance of natural updraft gasifier stoves to enhance thermal efficiency, reduce emissions, and improve durability. The stoves were designed with optimized air hole configurations (14–18 holes, 10–20 mm diameter) and constructed using advanced materials, including fire clay bricks and fiber cement, to minimize heat loss and improve structural integrity. Experimental results demonstrated that the gasifier stoves achieved thermal efficiencies of up to 39 %, significantly outperforming the Super stove (32.7 %) and Zedtee stove (30.0 %). Heat loss for gasifier stoves using briquette charcoal was as low as 930 kJ, 4.3 times lower than that of the Super stove and 1.84 times lower than that of the Zedtee stove. Briquette charcoal provided the highest thermal efficiency, while eucalyptus chips achieved the highest combustion efficiency (98 %) despite their greater volatile matter content (59.36 %) and associated emissions. The gasifier stoves exhibited superior durability, with compressive strength (16.25 kN) exceeding that of conventional stoves (6.0 kN) by 2.7 times. These improvements reduced reliance on costly fuels, decreased biomass consumption, and mitigated emissions, achieving a CO/CO₂ ratio as low as 0.22 with LC fuel. Additionally, adopting the developed stove could reduce carbon dioxide emissions by approximately 380–760 kg CO₂ per household annually. Overall, the natural updraft gasifier stove offers an innovative and practical solution for advancing clean cooking technologies, addressing critical challenges in energy efficiency, environmental sustainability, and public health.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100480"},"PeriodicalIF":8.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy nexusPub Date : 2025-07-14DOI: 10.1016/j.nexus.2025.100488
Daoud Khanafer , Ali Altaee , Alaa H. Hawari , Yahia Aedan , John Zhou , Akshaya K. Samal
{"title":"Seawater pretreatment for thermal plant by pressure stimuli-responsive forward osmosis membrane","authors":"Daoud Khanafer , Ali Altaee , Alaa H. Hawari , Yahia Aedan , John Zhou , Akshaya K. Samal","doi":"10.1016/j.nexus.2025.100488","DOIUrl":"10.1016/j.nexus.2025.100488","url":null,"abstract":"<div><div>Scale formation and deposition on the heat exchanger of thermal desalination have serious consequences on the plant performance and energy consumption. This study presented a patented method for diluting the brine from the multi-stage flash (MSF) plant with seawater using nanofiltration (NF) membranes of specific characteristics in the forward osmosis (FO) process. Three flat-sheet NF membranes of < 200 µm structure parameter were tested as pressure stimuli-responsive (PSR) membranes in the FO process. The NF membranes are designed to reject divalent ions, such as sulfate, magnesium, and calcium, which are the main reason for scale formation and deposition in the MSF plant. In this study, the performance of cellulose triacetate (CTA) and thin film-composite (TFC) FO membrane was compared with the PSR NF membranes for seawater pretreatment using an MSF brine draw solution at 40 °C. The water flux in the PSR NF membrane was insignificant at 0 bar pressure but increased several times when the feed pressure increased to 2 and 4 bar pressure. For the FO tests at 4 bar pressure, the average water flux in the PSR membranes was up to 2.6 times more than that in the CTA and TFC FO membranes, all without increasing the energy requirements of the FO process. In the tight NF membrane, the MSF brine dilution occurred by the permeation flow, but in the loose NF membrane, it was by permeation flow and ions' reverse diffusion from the draw solution to the feed solution. Notably, the PSR NF membranes achieved a substantial cost reduction that is ten times cheaper than the FO membrane, which has excellent potential to reduce the cost of the FO process.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100488"},"PeriodicalIF":8.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy nexusPub Date : 2025-07-13DOI: 10.1016/j.nexus.2025.100498
Chong Li , Cunyue Lu
{"title":"Nearly four decades of researches on ultrasonic motors: A bibliometric analysis","authors":"Chong Li , Cunyue Lu","doi":"10.1016/j.nexus.2025.100498","DOIUrl":"10.1016/j.nexus.2025.100498","url":null,"abstract":"<div><div>Ultrasonic Motors (USMs) have attracted considerable attention owing to compact, noiseless, and no electromagnetic interference, which has driven global research aimed at advancing their applications. To chart the research trajectory of USMs, this paper conducts a comprehensive bibliometric analysis, spanning approximately four-decade. Data from the Web of Science database, covering the period from 1985 to 2023, was collected, comprising a total of 1047 academic journal articles. Bibliometric software (Biblioshiny) was employed to dissect key publication metrics, encompassing publication sources, authors, contributing countries and institutions, thematic classifications, and keyword occurrences. The analysis indicates a notable increase in scientific publications on USMs, with China showing the most substantial engagement. Moreover, the prominent individuals, Y.X. Liu, W.S. Chen, and C.S. Zhao are instrumental in shaping the field. Thematic analysis discloses a concentrated effort on performance optimization, and control algorithms, suggesting a future for USMs with predictive and adaptive operations. The integration of artificial intelligence reveals a shift towards advanced control strategies. The importance of interdisciplinary collaboration is further underscored, with leading institutions occupying pivotal roles within research networks. The analysis results also suggests a future where USMs are not only more compact and integrated but also smarter, with enhanced capabilities for high-precision and micro-scale applications. Despite the long history of USMs, this is the first study to apply bibliometric methods to trace their evolution. Furthermore, this research not only highlights the current state of development in USMs, but also uncovers promising future directions, providing a solid foundation for the healthy advancement of USMs.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100498"},"PeriodicalIF":8.0,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of ZnCl2-modified Biowaste to the removal of highly polluted dye: A case study of investigating the kinetics and adsorption isotherms","authors":"Lekaa Hussein Abid , Zainab Haider Mussa , Fouad Fadhil Al-Qaim , Hesam Kamyab , Haider Falih Shamikh Al-Saedi , Nisreen Jawad Kadhim , Issa Farhan Deyab , Ahmed Falah Imran , Safaa Talib Al-Asadi","doi":"10.1016/j.nexus.2025.100481","DOIUrl":"10.1016/j.nexus.2025.100481","url":null,"abstract":"<div><div>The purpose of this study is to generate ZnCl<sub>2</sub>-modified walnut shell activated carbon (ZnCl<sub>2</sub>-WSAC) for the removal of methylene blue (MB) from an aqueous solution by evaluating the adsorption capabilities of raw walnut shell powder following treatment with zinc chloride. To do this, the ZnCl<sub>2</sub>-WSAC’s mass (0.04–0.12 g), the starting MB concentration (50, 80, and 100 mg/L), pH solution (2–10), the contact period (0–180 min), and the temperature (20–50 °C) were selected as the effective parameters. The ZnCl₂-WSAC was characterized using various analytical techniques, including identification based on its diffraction pattern, examination of morphological features and surface characteristics before and after methylene blue treatment, and assessment of malachite green adsorption on the fig leaf carbon. The results demonstrated high removal percentages and excellent adsorption efficiency In the present study, two common models, Langmuir and the Freundlich models, were used to examine the experimental isotherm data after the adsorption of MB dye. The highest adsorption capacity was 35.4 mg/g. After analyzing the experimental kinetic data, it was determined that the pseudo-second-order model, which had an excellent determination coefficient (R<sup>2</sup> = 0.9989), was better suited to describe the adsorption process. By using the Van't Hoff equation to compute the exchanged standard enthalpy (∆H° = 26.3279 KJ/mol), the adsorption process was exothermic. The adsorption process of the MB dye on ZnCl₂-WSAC exhibited spontaneous behavior at different temperatures, in which standard Gibbs free energy values (∆G°) ranged from -2.348 to -5.284 KJ/mol. It was determined that ZnCl<sub>2</sub>-WSAC might be used as a new, efficient, and reasonably priced adsorbent to remove the dye from solution.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100481"},"PeriodicalIF":8.0,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optical performance analysis of small-scale heliostats field layout of solar power tower system in Malaysia","authors":"Zeshan Aslam, Syed Ihtsham Ul-Haq Gilani, Taib Iskandar Mohamad, Masdi Muhammad, Kehinde Temitope Alao","doi":"10.1016/j.nexus.2025.100489","DOIUrl":"10.1016/j.nexus.2025.100489","url":null,"abstract":"<div><div>Solar power tower (SPT) systems are one of the promising technologies for concentrated solar energy collection efficiently. This study presents the optical performance study of a small-scale heliostat field layout developed at Universiti Teknologi PETRONAS, Malaysia. Ray-tracing simulations via Tonatiuh software were conducted to analyze the receiver's solar concentration. MATLAB was employed to quantify the optical losses due to cosine loss, shading, blocking, spillage, and reflectivity. The simulation results showed a very good agreement between Tonatiuh and MATLAB with a maximum deviation of 7 %. The power concentration was maximum between 11 AM and 3 PM, with the peak at 1 PM. The heliostat that was due north of the tower had the highest cosine efficiency and power. The optical efficiency of the system varied throughout the year and was at its maximum of 60.94 % in December. The results show the effect of heliostat field configuration and optical loss management on field performance and provide insights for small-scale SPT field optimization under equatorial conditions.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100489"},"PeriodicalIF":8.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agricultural energy transition pathways: Differential impacts of fine and coarse cereals on GHG emissions in India","authors":"Smily Thakur , Baljinder Kaur Sidana , Sunny Kumar , Ramandeep Kumar Sharma , Meetpal Singh Kukal , Samanpreet Kaur , Asim Biswas","doi":"10.1016/j.nexus.2025.100484","DOIUrl":"10.1016/j.nexus.2025.100484","url":null,"abstract":"<div><div>Understanding how agricultural energy use and cereal production choices—particularly between fine and coarse cereals—shape greenhouse gas (GHG) emissions is crucial for designing effective mitigation strategies in light of agriculture’s major contribution to national emissions and growing climate-induced productivity concerns. This study investigates the dynamic relationships between these factors in India using an Autoregressive Distributed Lag (ARDL) model on data spanning 1975–2019. Pre-analysis (Unit root, an ideal lag length, and co-integration testing) and post-analysis (serial correlation, heteroscedasticity, and recursive residuals) assumptions for ARDL model estimation were tested which came aligned with the research questions. The model robustness statistical diagnostic tests CUSUM (cumulative sum), CUSUMSQ (cumulative sum of squares), and variance decomposition testing were carried out and found to be satisfactory. The study aimed to provide comprehensive analysis of how different cereal types i.e. fine versus coarse cereals influence agricultural energy-emissions relationship and their long run effects on agricultural production-emission scenario of India. Our analysis reveals significant differences in the emissions impacts of different cereal types: while rice and wheat production contribute positively to emissions in the short run (0.06 % and 0.01 % respectively), coarse cereals demonstrate a substantial negative impact (−2.08 %) in the long run. The energy-emissions relationship shows increasing coupling over time, with elasticity rising from 0.02 % in the short run to 1.06 % in the long run. Variance decomposition analysis identifies rice production as the dominant contributor to emissions variability, accounting for 34.43 % of future fluctuations. These findings suggest that strategic crop diversification, particularly increased cultivation of coarse cereals, could significantly reduce agricultural emissions while maintaining food security. The study recommends a three-pronged approach i.e., investing in energy-efficient agricultural technologies, developing policy frameworks to incentivize coarse cereal adoption, and strengthening institutional mechanisms for technology transfer. These insights contribute to the development of targeted policies for sustainable agricultural energy transition in India.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100484"},"PeriodicalIF":8.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy nexusPub Date : 2025-07-12DOI: 10.1016/j.nexus.2025.100473
Yazdan Alvari, Majid Zandi, Ali Jahangiri, Mohammad Ameri, Aslan Gholami, Poroushat Shahidi, Seyed Ali Mousavi
{"title":"BIPV-driven smart vertical greenhouses: a water energy food environment nexus framework for sustainable urban agriculture","authors":"Yazdan Alvari, Majid Zandi, Ali Jahangiri, Mohammad Ameri, Aslan Gholami, Poroushat Shahidi, Seyed Ali Mousavi","doi":"10.1016/j.nexus.2025.100473","DOIUrl":"10.1016/j.nexus.2025.100473","url":null,"abstract":"<div><div>This study addresses the inefficiencies and environmental burdens of conventional urban greenhouses by experimentally evaluating a building integrated solar-powered vertical greenhouse system designed for sustainable food production. A stepwise methodology is employed, in which energy audits defined system demands, followed by real-time measurements and performance simulations of photovoltaic energy integration. Three configurations were assessed including a conventional greenhouse, a smart greenhouse powered entirely by the grid electricity, and a smart greenhouse supplied by an integrated solar energy system with grid backup. The solar-powered system achieved 86 percent annual energy self-sufficiency, supplying 20,591 kWh of electricity and requiring minimal grid support. Additionally, real-world data were used to validate a modified simulation model accounting for environmental factors such as dust accumulation and aging, achieving a performance ratio of 82.6 percent. Economically, the system demonstrated a payback period of three years and a 17 percent internal rate of return, while environmentally it reduced annual carbon dioxide emissions by 4843 kg. Additionally, the closed-loop system achieved up to 90 percent water savings. This research contributes an experimentally validated, resource-efficient model for integrating solar energy with vertical food production systems tailored to urban sustainability goals.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100473"},"PeriodicalIF":8.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy nexusPub Date : 2025-07-12DOI: 10.1016/j.nexus.2025.100470
Maria Molinos-Senante , Alexandros Maziotis
{"title":"Energy efficiency assessment of drinking water treatment plants incorporating technological differences and exogenous variables","authors":"Maria Molinos-Senante , Alexandros Maziotis","doi":"10.1016/j.nexus.2025.100470","DOIUrl":"10.1016/j.nexus.2025.100470","url":null,"abstract":"<div><div>Assessing the energy efficiency (EE) of drinking water treatment processes through the integration of multiple indicators is essential for a comprehensive evaluation. This study proposes two composite indicators, namely group energy efficiency (GEE) index and metafrontier energy efficiency (MEE) index to assess the energetic performance of drinking water treatment plants (DWTPs). Its quantification was conducted using Stochastic Frontier Analysis (SFA) and the metafrontier framework. The analysis includes 96 DWTPs operating in Chile, categorized into two technological groups: pressure filtration (PF) and coagulation-flocculation with rapid gravity filtration (CF-RGF). The results indicate that CF-RGF facilities exhibit higher EE, with a mean MEE index of 0.506, compared to 0.423 for PF plants. The GEE index was also higher for DWTPs employing CF-RGF compared to those using PF, with average scores of 0.606 and 0.510, respectively. Additionally, factors such as plant age, raw water source, and ownership structure significantly influence energy consumption in DWTPs. This study provides empirical evidence to support targeted energy optimization strategies, helping to reduce energy consumption and enhance energy performance in the water treatment sector.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100470"},"PeriodicalIF":8.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy nexusPub Date : 2025-07-12DOI: 10.1016/j.nexus.2025.100471
Miguel A. Martin-Valmayor , Luis A. Gil-Alana , Manuel Monge
{"title":"Breakfast commodities and global warming effects","authors":"Miguel A. Martin-Valmayor , Luis A. Gil-Alana , Manuel Monge","doi":"10.1016/j.nexus.2025.100471","DOIUrl":"10.1016/j.nexus.2025.100471","url":null,"abstract":"<div><div>This paper investigates global warming in the breakfast index commodities by comparing the statistical properties of the prices of the commodities and their relationship with temperature from a regional perspective. Empirical results indicate that temperature deviations are individually mean reverting and display long memory behavior; however, in breakfast commodity prices mean reversion is only observed in the case of orange and wheat with the log prices. This evidence suggests that food commodities ares more vulnerable to shocks, with a higher exposure to the poorer population segments due to their high demand elasticity. Furthermore, the results of the cointegration analysis confirm the evidence of impact in prices of temperature deviations, especially for wheat and cocoa. For the rest of the cases, shock duration is expected to be short-lived with a smaller risk for the global economy.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100471"},"PeriodicalIF":8.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy nexusPub Date : 2025-07-12DOI: 10.1016/j.nexus.2025.100467
Abolfazl Dehghan Monfared, Mohammad Behnamnia, Negin Mozafari
{"title":"Robust modelling of wettability for hydrogen geo-storage in sandstone formations incorporating the role of cushion gas: Application of data-driven strategies in gas-sandstone-water systems","authors":"Abolfazl Dehghan Monfared, Mohammad Behnamnia, Negin Mozafari","doi":"10.1016/j.nexus.2025.100467","DOIUrl":"10.1016/j.nexus.2025.100467","url":null,"abstract":"<div><div>As global energy demand rises, the environmental impacts of fossil fuels prompt the search for cleaner energy sources. Hydrogen has emerged as a promising alternative, with efficient underground storage being essential for its large-scale deployment. The sandstone formations are suitable, particularly with cushion gas (i.e. inert gas to maintain pressure and increase pore volume while minimizing water intrusion). In this regard, the gas-rock-brine interactions—governed by wettability and quantified via the contact angle—play a pivotal role in hydrogen trapping and mobility in porous media. This study hypothesizes that machine learning (ML) models can reliably predict contact angles under diverse subsurface conditions, thereby improving the understanding and design of hydrogen storage systems. To test this, a dataset comprising 2391 experimental data points, collected from a comprehensive review of published literature, was used to train and validate various ML models, including Extreme Learning Machine, Multilayer Perceptron optimized by different algorithm, General Regression Neural Network optimized using the Imperialist Competitive Algorithm (ICA), Least Squares Boosting (LSBoost), Least Squares Support Vector Machine, and K-Nearest Neighbors. Among these, the ICA-LSBoost model outperformed others, achieving a root mean square error of 0.5434 in training and 1.5413 in testing, along with a mean absolute error of 0.3267 and 0.9872 for training and testing, respectively. These results contribute to a better understanding of the simulation and prediction phases of the hydrogen storage process by accurately simulating contact angles and optimizing storage strategies, ultimately facilitating the efficient use of hydrogen as a clean energy source.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100467"},"PeriodicalIF":8.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}