Sustainable Horizons最新文献

{"title":"State of global solar energy market: Overview, China's role, Challenges, and Opportunities","authors":"Assia Chadly ,&nbsp;Karim Moawad ,&nbsp;Khaled Salah ,&nbsp;Mohammed Omar ,&nbsp;Ahmad Mayyas","doi":"10.1016/j.horiz.2024.100108","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100108","url":null,"abstract":"<div><p>Solar energy is the most common, cheapest, and most mature renewable energy technology. With solar photovoltaics taking over recently, an in-depth look into their supply chain shows a surprising dependency on the Chinese market from the raw materials to the assembled PVs. This article tackles the main challenges in the solar energy market and sheds light on the opportunities in that industry. The research results show that China controls the supply of primary materials, manufacturing, installed capacity, and recycling capacity. China alone produces at least 80 % of the main components of PVs. Also, more than 30 % of the cumulative installed capacity is in China, the top exporter of manufactured solar PVs in the World with competitive manufacturing costs that reached less than $0.24/W. However, the value chain of the solar panels shows some supply chain issues that might pose potential risks in the future such as the trade barriers and the raw material shortage possibility. The article also presents recycling opportunities.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100108"},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000208/pdfft?md5=950b5df60a6b959e187af83e6f6d66d0&pid=1-s2.0-S2772737824000208-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140618348","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":"Enabling the circular economy of solar PV through the 10Rs of sustainability: Critical review, conceptualization, barriers, and role in achieving SDGs","authors":"Malek Kamal Hussien Rabaia ,&nbsp;Nabila Shehata ,&nbsp;Valentina Olabi ,&nbsp;Mohammad Ali Abdelkareem ,&nbsp;Concetta Semeraro ,&nbsp;Kyu-Jung Chae ,&nbsp;Enas Taha Sayed","doi":"10.1016/j.horiz.2024.100106","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100106","url":null,"abstract":"<div><p>While the world is transitioning away from conventional fossil fuel energy systems, recent global reports prove that photovoltaic (PV) energy systems are currently the best renewable alternative. This work presents a comprehensive review of the photovoltaic industry's current linear or unidirectional economy model and proposes a circular economy (CE) model to address sustainability concerns. This work focuses on reviewing, criticizing, and discussing the practical implementations of the 10Rs of sustainability, which aim to achieve both sustainable development goals (SDGs) and global circular economy targets. This work presents multiple comprehensive models with practically informative and conceptually rich structures for the PV's CE from an environmental-, sustainability-, and a business-, deployment and development perspectives. Such models provide the readers with guidelines and technical explanations of the overall goals, pathways/roadmaps, and tools towards solar PV's CE. The work also highlights and verifies important conceptual misunderstandings like the differences between the recycle principle, the dismantling techniques, and the recover principle. The current work bridges the gaps between the PV literature and the PV industry through providing a detailed and practical approach to achieving a successfully sustainable PVs’ CE.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277273782400018X/pdfft?md5=ec2f353560079571d2fcbd5b7557f4c0&pid=1-s2.0-S277273782400018X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140604701","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":"New perspective of environmental impact research: predicting bus exhaust emissions using the ETSformer based on collaborative perception","authors":"Qingchao Liu ,&nbsp;Laiyu Zhang ,&nbsp;Chen Lv ,&nbsp;Hongbo Gao ,&nbsp;Yingfeng Cai ,&nbsp;Long Chen","doi":"10.1016/j.horiz.2024.100105","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100105","url":null,"abstract":"<div><p>Accurate prediction of urban traffic exhaust emissions plays a crucial role in controlling motor vehicle exhaust pollution. Urban public transport vehicles often operate in stop-and-go traffic conditions, emitting significant exhaust pollution. Existing approaches primarily focus on assessing vehicle emissions in the past or present, which may not adequately address long-term planning needs. To enhance the accuracy of bus exhaust emissions prediction, we introduce a novel time series transformer architecture named ETSformer for forecasting future vehicle emissions. This framework integrates exponential smoothing principles to refine the transformer-based time series prediction model, utilizing historical pollutant emissions data to forecast future exhaust emissions. The experiment collects emissions data and driving status information from public transport vehicles in Zhenjiang City, Jiangsu Province, considering factors such as vehicle runtime, route, and operational state to standardize response variables and enhance model precision and consistency. Experimental results demonstrate a determination coefficient (R²) of 70.7% and a mean square error (MSE) of 41.1% for exhaust gas prediction, signifying improved accuracy and efficiency compared to other models. Applying the exhaust gas prediction model to bus operations enables advanced forecasting of future exhaust emissions, addressing current challenges and potentially reducing Carbon Dioxide (CO₂) emissions by over 3% during bus operations.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000178/pdfft?md5=0b5360fd0f096b23120fb1ccf8b273a2&pid=1-s2.0-S2772737824000178-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140543796","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":"Imbalance of coastal sustainability research hinders equality","authors":"Yinshuai Li ,&nbsp;Nan Jia ,&nbsp;Ruishan Chen","doi":"10.1016/j.horiz.2024.100107","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100107","url":null,"abstract":"<div><p>Climate change has become a serious challenge to human sustainable development. Coastal areas, as gathering places for population and resources, also frequently suffer from disturbances such as rising sea levels and extreme weather. At the United Nations Climate Change Conference (UNCCC), it was emphasized that the issue of climate inequality is becoming increasingly prominent, and seeking \"climate justice\" has become a general trend. Coastal African countries with lower carbon emissions face greater climate risks, but lack the capacity to address these challenges. No one can be spared under the crisis. Here, to realize the commitment of Leave No One Behind (LNOB) proposed by the United Nations Sustainable Development Group, we propose to rectify this imbalance, focus on academic research on sustainability in African coastal countries, and promote global fairness and sustainable development under climate crisis by improving climate compensation mechanisms, promoting technical support, strengthening economic assistance, and promoting international cooperation.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000191/pdfft?md5=58acba8346d2612ee702a61f3f40cc32&pid=1-s2.0-S2772737824000191-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140341748","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":"Boosting hydroxyl radical generation for highly efficient electrooxidation of sulfamethazine via facile doping strategy","authors":"Yina Tian ,&nbsp;Lingchao Kong ,&nbsp;Hua Zou ,&nbsp;Ming Liu ,&nbsp;Guoshuai Liu","doi":"10.1016/j.horiz.2024.100103","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100103","url":null,"abstract":"<div><p>The one-electron water oxidation reaction (WOR) to generates hydroxyl radicals (^•OH) plays a pivotal role in electrochemical advanced oxidation processes (EAOPs). In this study, we present a novel and facile strategy involving Ho-doping to regulate the electronic configuration of the conventionally nonactive PbO₂ electrode. Experimental findings demonstrate that PbO₂ doped with 2.4% Ho achieves the highest degradation performance of sulfamethazine (SMZ) (∼100%; <em>k</em>_obs = 0.093 min⁻¹) and highest ^•OH generation efficiency with a relatively concentration of ^•OH = 1.9 × 10⁷. The doped electrodes exhibit a notable enhancement compare to the undoped electrode, which elevating SMZ degradation efficiency and ^•OH generation by factors of 1.45 and 3.8, respectively. Electrochemical characterization and degradation results elucidate that the modulation of electron transfer rate and oxygen evolution potential are crucial factors governing the performance of the Ho-doped PbO₂ anode. Specifically, maintaining a suitably high oxygen evolution potential (OEP) enables the thermodynamically feasible production of ^•OH, while a relatively fast electron transfer rate ensures the generation of H₂O⁺ (the oxidation precursor of ^•OH) with kinetic feasibility. Furthermore, a degradation pathway for SMZ is proposed based on the identification of transformation mechanism using density functional calculation (DFT) and the detection of intermediates via LC-MS/MS. This study provides an universal strategy for simultaneously enhancing the OEP and optimizing the electron transfer rate of an EAOP anode through the modulation of anodic electronic configuration, thereby advancing the field of efficient water treatment applications.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000154/pdfft?md5=debd76223dc88aa1320b24c47fb6b098&pid=1-s2.0-S2772737824000154-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140327722","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":"Agricultural plastic pollution in China: Sources, supply chain drivers, and mitigation strategies","authors":"Chuan Zhao ,&nbsp;Yafei Wang ,&nbsp;Zhongmin Lian ,&nbsp;Zhengyang Zhang ,&nbsp;Shijun Ma ,&nbsp;Kazuyo Matsubae","doi":"10.1016/j.horiz.2024.100102","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100102","url":null,"abstract":"<div><p>Plastic pollution from agricultural production poses discernible risks to food security and safety. This work endeavors to address the gap of quantification and traceability of agricultural plastic pollution by estimating plastic loss associated with diverse farm activities and explore potential mitigation strategies. Results revealed that annual agricultural plastic pollution in China amounted to 570 kt. The main sources of the pollution were identified as the use of mulching film in agriculture production, farming practices employed for vegetable and fruit production, and the geographical distribution of agricultural activities, particularly in provinces of Xinjiang and Shandong in China. From a production perspective, thicker agricultural film substitution proved a more cost-effective mitigation than biodegradable alternatives for most provinces. Applying a nested multiregional input-output model, interprovincial and international final demand drivers of pollution were identified primarily from eastern China, the United States, and Japan. At the provincial level, the most significant sectoral driving force of provincial agricultural plastic pollution is primary agricultural products, followed by processed foods and textile-related products. The study highlights the imperatives for more inclusive plastic pollution monitoring and comprehensive consumption behavior guidance for sustainable agriculture.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000142/pdfft?md5=ec661f62a419046e13b5b29e77ad2579&pid=1-s2.0-S2772737824000142-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140309540","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 study on the sensitivity of photovoltaic panels to wind load on array layout","authors":"Guangchen Jia ,&nbsp;Chao Ma ,&nbsp;Yunpeng Zhao ,&nbsp;Yanqian Sun ,&nbsp;Hangfei Liu","doi":"10.1016/j.horiz.2024.100101","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100101","url":null,"abstract":"<div><p>Offshore floating photovoltaics began to gradually enter people's vision due to the limitation of inland land resources. However, the offshore environment is harsh, and wind load is an essential factor in floating photovoltaic design. At the same time, the photovoltaic panel will be subjected to a large wind load in strong typhoon weather, which may cause a drag-driven or lift-driven instability for offshore floating photovoltaics. In this work, the effects of wind loads on six PV array structure configurations installed on offshore floating PV platforms at high Reynolds numbers are investigated by using the computational fluid dynamics numerical method. The differences in wind load on photovoltaic panels under different layout structures are analyzed and explained, including analysis of velocity and pressure distribution, turbulence field, and lift and drag coefficient of photovoltaic panels. The results showed array b with symmetrically staggered has less sensitivity to wind direction, less lifting torque, and relatively small pressure on the surface of the photovoltaic panel, which is a potential arrangement.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000130/pdfft?md5=3326a76a65decdc4153a1caec2000368&pid=1-s2.0-S2772737824000130-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140187622","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":"Estimation of aboveground biomass of different vegetation types in mangrove forests based on UAV remote sensing","authors":"Shaorui Li ,&nbsp;Zhenchang Zhu ,&nbsp;Weitang Deng ,&nbsp;Qin Zhu ,&nbsp;Zhihao Xu ,&nbsp;Bo Peng ,&nbsp;Fen Guo ,&nbsp;Yuan Zhang ,&nbsp;Zhifeng Yang","doi":"10.1016/j.horiz.2024.100100","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100100","url":null,"abstract":"<div><p>Accurate estimating biomass is essential for monitoring mangrove dynamics and quantifying its carbon stocks. Utilizing Unmanned Aerial Vehicle (UAV) monitoring to replace manual surveys for biomass estimation offers advantages such as broad coverage and rapid data collection. However, uncertainty exists in selecting appropriate UAV inversion parameters. Meanwhile, accurate biomass estimation of mangrove is challenging as its low penetration, especially the difficult for distinguishing between different mangrove vegetation types. In this study, we combined UAV and Light Detection and Ranging (LiDAR) to accurately estimate the biomass of different mangrove vegetation types. Using the UAV-mounted LiDAR as a sampling tool, we obtain Three-Dimensional (3D) point cloud data of six dominant mangrove vegetation types in South China. Combining such data with field measurements, we analyzed the impact of different inversion parameters on biomass estimation accuracy of different mangrove vegetation types. The results demonstrated that the combination of average canopy height and average canopy effective cover generally yielded the highest accuracy for estimating mangrove biomass. Moreover, refinement of biomass estimation for different mangrove vegetation types with curve fits further improved accuracy. The current work provides an effective tool to accurately quantify the aboveground biomass of different mangrove vegetation at a range of scales. This carries significant implications for assessing its distribution status and characterizing its functions such as carbon sequestration.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000129/pdfft?md5=0525d7d2e9448a5762e2d67a3e2aeb52&pid=1-s2.0-S2772737824000129-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140062174","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":"Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia","authors":"Nawin Raj ,&nbsp;Reema Prakash","doi":"10.1016/j.horiz.2024.100098","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100098","url":null,"abstract":"<div><p>Wave energy is regarded as one of the powerful renewable energy sources and depends on the assessment of significant wave height (H_s) for feasibility. Hence, this study explores the potential of wave energy by assessing and predicting H_s for two study sites in Queensland (Emu Park and Townsville), Australia. Assessment and prediction of H_s is extremely important for reliable planning, cost management and implementation of wave energy projects. The study utilized oceanic datasets based on wave measurements obtained from buoys along coastal regions of Queensland that are transmitted to nearby receiver stations. The parameters of the datasets include maximum wave height, zero up crossing wave period, peak energy wave period and sea surface temperature to accurately predict Hs. A new hybrid Convolutional Neural Network (CNN) and Bidirectional Long Short Term (BiLSTM) deep learning model with Multivariate Variational Mode Decomposition (MVMD) is developed which is benchmarked by Multi-Layer Perceptron (MLP), Random Forest (RF) and Categorical Boosting (CatBoost) to compare the performance. All models attain relatively high-performance results. The MVMD-CNN-BiLSTM attains slightly better performance values for both study sites among all developed models with highest correlation values of 0.9957 and 0.9986 for Emu Park and Townsville, respectively. Other performance evaluation metrics were also higher for MVMD-CNN-BiLSTM with lowest error values in comparison to the benchmark models. The annual mean of H_s is also computed to compare and obtain an insight with a linear projection. There is a greater ocean wave energy potential for Emu Park for a 10-year period with a projected mean H_s of 0.865 m in comparison to Townsville where the projected mean was of 0.665 m.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000105/pdfft?md5=3fb925c9543e661cb2b8dfdb089539b5&pid=1-s2.0-S2772737824000105-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992556","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":"Inertia load reduction for loadoff during floating offshore wind turbine installation: Release decision and ballast control","authors":"Can Ma ,&nbsp;Zhen-Zhong Hu ,&nbsp;Xiang Yuan Zheng ,&nbsp;Zhengru Ren","doi":"10.1016/j.horiz.2024.100096","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100096","url":null,"abstract":"<div><p>High offshore installation costs are a significant factor limiting the competitiveness of offshore wind energy. One efficient installation approach for floating offshore wind turbines is to preassemble the tower, nacelle, and rotor onshore and perform a single lifting operation to mate the superstructure with the floating foundation at the installation site. It is heavy lifting, due to the weighty payload. At the end of the mating process, a loadoff operation is conducted to transfer the preassembly to the floating foundation. It results in a sudden change in total force acting on the vessel and causes substantial acceleration and potential damage to the mechanism in the onboard nacelles. The magnitude of acceleration of the onboard nacelles can vary greatly at different release instants. In this research, a simplified two-degrees-of-freedom (DOF) (heave and pitch) model is also proposed to account for the heavy lifting process and variable ballast tanks. The sudden payload transfer is approximated using a hyperbolic tangent function to guarantee continuity and differentiability. The loadoff operation consists of the decision-making and vessel-stabilizing phases. Based on the nonlinear model predictive control method, a payload-transfer time selector and anti-pitch ballast controller have been developed to achieve optimal release time decisions and stabilize the vessel after payload release, respectively. Six-DOF simulation results show that the proposed algorithms are capable to a satisfying level of robustness of deciding the optimal payload release time instant, as well as limiting the peak and mean acceleration magnitudes of the onboard nacelles after payload release. The decision-making and control strategies may promote the sustainable energy transformation by extending the operation window and reduce the installation costs.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"10 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000087/pdfft?md5=651c7c00eed1e853740a48e97d8aed3b&pid=1-s2.0-S2772737824000087-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139985473","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}