Engineering reports : open access最新文献

{"title":"Numerical Simulation of Water-Rock Reaction for CO2 Sequestration in Sandstone Reservoir","authors":"Zhang Yunhai,&nbsp;Wang Shaoqing,&nbsp;Li Qing,&nbsp;Li Jinlong,&nbsp;Song Yan,&nbsp;Chen Xingyu,&nbsp;Yang Bo","doi":"10.1002/eng2.70694","DOIUrl":"https://doi.org/10.1002/eng2.70694","url":null,"abstract":"<p>Climate change represents one of the most pressing global challenges facing humanity. Under the framework of the national climate change strategy, Carbon Capture, Utilization, and Storage (CCUS) is currently regarded as the only viable technology capable of achieving large-scale, near-zero-emission utilization of fossil energy, thereby contributing significantly to the carbon neutrality goal of China. In this study, the brine layer of the Jilin Oilfield was selected as the research target, and numerical simulation of CO₂-formation water-rock reactions was conducted using the TOUGHREACT software. The effects of CO₂ injection on reservoir fluid pH, mineral transformation, and ion concentrations in formation water were systematically analyzed. The simulation results indicate that both dissolution and precipitation reactions occurred simultaneously in the acidic CO₂ solution, with the pH of the formation water stabilizing at approximately 4.8. Overall, the reaction system exhibited a tendency for magnesite, montmorillonite, kaolinite, illite, and dolomite to precipitate, while albite, chlorite, and calcite were prone to dissolution. Different mineral assemblages were generated at various stages of the reaction process. The dissolution of CO₂ increased rock porosity and permeability. However, the magnitude of these changes was relatively minor, exerting little influence on the CO₂ injection capacity. The findings of this study provide valuable experimental references and theoretical support for CO₂ sequestration in saline aquifers of the Jilin Oilfield.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70694","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753437","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":"Evolution and Numerical Prediction of Fatigue-Controlled Regions in Bolted–Welded Joints of Steel Truss Bridges","authors":"Zian Zhang,&nbsp;Haoran Jiang,&nbsp;Yong Wang,&nbsp;Gangnian Xu,&nbsp;Zihao Li,&nbsp;Yanlei Zhou,&nbsp;Junyan Wu","doi":"10.1002/eng2.70909","DOIUrl":"https://doi.org/10.1002/eng2.70909","url":null,"abstract":"<p>Steel truss bridge nodes are prone to fatigue damage under long-term cyclic loads due to their complex connection forms and significant stress concentrations, which may compromise the service safety of steel bridges. This study develops a three-dimensional nonlinear refined finite element model for typical bolted and welded nodes, considering the effects of bolt pretension, weld toe geometry, and contact nonlinearity, thereby achieving a unified simulation of local node details and overall structural response. By analyzing the stress range, frequency, and evolution of key detail components, the fatigue-critical regions and governing mechanisms of both bolted and welded nodes are identified, and the contribution of each component along complex stress paths is clarified. Based on these findings, a fatigue life prediction method applicable to both bolted and welded nodes is proposed, which effectively reflects the actual stress characteristics and fatigue damage evolution of the nodes. The results provide theoretical guidance and technical reference for fatigue safety assessment and durability design of steel truss bridges.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70909","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753587","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":"Mathematical Model of Within-Host HIV Infection With Variable CD4 Production, and Saturated Incidence","authors":"Ahmad Umar Abubakar,&nbsp;E. Chandrasekaran,&nbsp;Mideksa Tola Jiru","doi":"10.1002/eng2.70996","DOIUrl":"https://doi.org/10.1002/eng2.70996","url":null,"abstract":"<p>The latent reservoir remains the greatest obstacle to HIV eradication. This is due to infected cells persisting in a dormant state for prolonged periods and reactivating infection after treatment interruption. Mathematical modeling has been instrumental in describing the interaction between HIV and the host immune system. In this study, we develop a within-host mathematical model of HIV infection that incorporates virus-dependent CD4⁺ T-cell recruitment, Holling type II saturated incidence, and a latent reservoir. The qualitative properties of the model are investigated by establishing the positivity and boundedness of solutions, deriving the basic reproduction number, and analyzing the stability of the disease-free and endemic equilibria. A sensitivity analysis is performed to identify the parameters that most strongly influence disease transmission. Numerical simulations are carried out to validate the theoretical results and to examine the effects of key biological parameters on HIV dynamics. The results show that the viral clearance rate, infection rate, viral production efficiency, and burst size are the dominant determinants of infection persistence. Although the latent reservoir has only a limited influence on the basic reproduction number, it substantially enlarges the pool of infected cells capable of reigniting infection following treatment interruption. These findings demonstrate the importance of combining therapies that suppress viral replication with strategies that eliminate the latent reservoir to achieve long-term HIV control.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70996","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753077","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":"Waste-to-Energy Transformation: Performance and Emission Analysis of Diesel–Plastic–Vegetable Fuel Blends","authors":"Jasgurpreet Singh Chohan,&nbsp;Praveen Oggu,&nbsp;Mahendrasinh R. Chauhan,&nbsp;Akanksha Mishra,&nbsp;Nagaraj Patil,&nbsp;Abhayveer Singh,&nbsp;Ripendeep Singh,&nbsp;Swetarani Biswal,&nbsp;Abhijit Bhowmik,&nbsp;Yalew Tamene","doi":"10.1002/eng2.70994","DOIUrl":"https://doi.org/10.1002/eng2.70994","url":null,"abstract":"<p>The growing demand for sustainable alternative fuels has accelerated the development of waste-derived and renewable fuel blends for compression ignition (CI) engines. In this study, novel ternary fuel blends comprising diesel, plastic waste-derived pyrolysis oil, and vegetable oils (soybean and mahua) were developed and evaluated to reduce fossil fuel dependence while promoting waste valorization and renewable energy utilization. Plastic pyrolysis oil was first blended with soybean and mahua oils to produce low-viscosity binary mixtures that satisfied the evaluated EN 590:2022 fuel property requirements, including viscosity, density, cetane number, and cold-flow properties, without the need for transesterification. The optimized binary blends were subsequently blended with diesel to prepare ternary fuels, which were tested in a CI engine under electrical loads of 1–5 kW, with the maximum measured power output approaching the generator's rated operating limit. Engine performance was assessed through power output and brake-specific fuel consumption (BSFC), while exhaust emissions of CO, CO₂, NO_x, and soot were measured. Among the tested formulations, the B60-PSO blend exhibited the best overall performance, reducing BSFC by approximately 15% at the highest load compared with conventional diesel. The developed blends also demonstrated improved environmental performance, achieving reductions of up to 20% in CO, 10% in NO_x, and 40% in soot emissions, while a slight increase in CO₂ indicated more complete combustion. These results demonstrate that diesel–plastic pyrolysis oil–vegetable oil blends provide an effective route for converting waste plastics into valuable transportation fuels, offering improved fuel economy, cleaner combustion, and a practical waste-to-energy solution that supports sustainable transportation and circular economy objectives.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70994","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752847","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":"Categorical Boosting-PSO: A SHAP-Interpretable Hybrid Framework for High-Fidelity Wax Appearance Temperature Prediction in Subsea Pipelines","authors":"H. M. Rayhan Rifat,&nbsp;Abdullah Abduljabbar,&nbsp;Mysara Eissa Mohyaldinna","doi":"10.1002/eng2.70979","DOIUrl":"https://doi.org/10.1002/eng2.70979","url":null,"abstract":"<p>Wax deposition in subsea pipelines poses significant flow assurance challenges, yet accurate wax appearance temperature (WAT) determination remains constrained by resource intensive experiments and the absence of a robust, interpretable machine learning framework. This study proposes Categorical Boosting (CatBoost) optimized via particle swarm optimization (CatBoost-PSO) as a first of its kind, high-fidelity WAT predictor. It was rigorously evaluated against six competing models, including XGBoost, GBDT, XGB-GBDT-SE, and three additional CatBoost metaheuristic variants, on the most comprehensive reported WAT dataset (98 samples: 82 for model development, 16 unseen data for validation) using oil density, wax content, and pour point temperature as inputs. CatBoost-PSO demonstrated superior test-set performance (R² = 0.9760, RMSE = 1.8106 K, AARE = 0.5063%), surpassing established benchmarks, including MLP-LMA, MLP-BR, GEP, ANFIS, ET, RF, and DT, with a 33.3% RMSE reduction (from 2.7164 K to 1.8106 K), over closest competitor, the ANFIS model, although comparisons are indicative due to differences in datasets and validation protocols. Predictive reliability was established through external validation (AARE ≤ 1%) on unseen crude samples, trend analysis, k-NN distance assessment and Williams' plot. SHAP analysis identified pour point temperature as the dominant predictor, with wax content × pour point revealed as the strongest synergistic interaction pair, collectively consistent with paraffin crystallization thermodynamics. CatBoost-PSO constitutes a deployable, physically grounded screening tool, trained in 0.340 s with a 0.3 MB memory footprint, for high-throughput WAT screening in subsea pipeline flow assurance applications.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70979","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752848","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":"Transient Response Analysis of Quasi-Synchronization and Self-Synchronization Grid-Connection Processes for Nuclear Power (N + X) Emergency Diesel Generator Units","authors":"Sumin Wu,&nbsp;Yinhui Yu,&nbsp;Jie Zhang,&nbsp;Wenjiang Zhu","doi":"10.1002/eng2.70986","DOIUrl":"https://doi.org/10.1002/eng2.70986","url":null,"abstract":"<p>Nuclear power emergency diesel generator units are critical safety equipment for nuclear power plants. The (<i>N</i> + X) mode diesel generator units provide improved reliability, thus guaranteeing the safe operation of nuclear power plants. Therefore, in view of the operational requirements of diesel generator units and based on the actual operating process, simulation models for the two grid-connection modes (quasi-synchronization and self-synchronization) of nuclear power emergency diesel generator units were established. In this study, the simulation model was verified using actual test data from five 1200 kW diesel generator units. The results show that the quasi-synchronization simulation completes grid connection in 22.5 s, and the voltage, current, frequency, and power all generate fluctuations of less than 1% of the rated values at the moment of grid-connection closing, recovering to stability within 1 s. Based on this model, a simulation analysis of the unit's self-synchronization grid-connection mode was further carried out. The results indicate that the unit completes grid connection and obtains load-carrying capacity within 10 s, and no inrush current exceeding the rated value of 86.6 A is generated during the grid-connection process. The transient response performance of the units in the simulation analysis meets the requirements for nuclear power emergency units.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70986","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752705","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":"Photovoltaic Power Generation Fault Diagnosis Model Based on Multi-Source Data Fusion Using Neural Network Algorithms","authors":"Zheng Li,&nbsp;Lin Wang,&nbsp;Huanghuang Jin,&nbsp;Xiaofan Zheng,&nbsp;Guo Zhang,&nbsp;Beibei Wang","doi":"10.1002/eng2.70989","DOIUrl":"https://doi.org/10.1002/eng2.70989","url":null,"abstract":"<p>Research on fault diagnosis of photovoltaic (PV) power generation has long been troubled by two bottlenecks. First, the simple concatenation or fusion of multi-source heterogeneous data fails to effectively utilize the embedded information. Second, traditional diagnostic models lack the capacity to generalize effectively under complex operating conditions. Therefore, this paper proposes a multi-source data fusion diagnosis model based on an adaptive fusion mechanism: by constructing a “data layer-feature layer” collaborative architecture, it can realize the fusion of signals from the same source at the data layer and the dynamic fusion of heterogeneous information at the feature layer by using Adaptive Convolutional Neural Network (Adaptive CNN), leveraging the advantages of spatial feature extraction through signal-image conversion. Experimental results show that the accuracy of the model reaches 99.0% on the dataset, and the macro-average F1-Score is improved to 98.8%. Compared with the traditional direct splicing and fusion methods, the accuracy and F1-Score are improved by 10.3% and 11.7%, respectively. At the same time, this study not only verifies the advantages of the adaptive hybrid fusion framework but also provides a technical route with high engineering application value for high-reliability PV intelligent operation and maintenance systems.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70989","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752707","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":"Design and Dynamic Response Characteristics Analysis of Hydrogen Fuel Cell Ship Combined Cooling and Power Supply System","authors":"Jingsi Hu,&nbsp;Feng Chen,&nbsp;Zhaoliang Zang","doi":"10.1002/eng2.70991","DOIUrl":"https://doi.org/10.1002/eng2.70991","url":null,"abstract":"<p>The proposed solution to the mismatch in spatial and temporal scales, as well as addressing the unstable bus voltage resulting from hydrogen fuel cell integration onboard marine vessels, is an integrated hybrid energy storage and complementary cogeneration system equipped with a Cold Electric Dynamic Power Smoothing system, designated as CE-DPS. Utilizing a state-space averaged model constructed in Matlab Simulink with the ode23t solver facilitates the transient analysis of multi-physical phenomena through a multi-tiered collaborative control structure. The bottom tier uses enhanced droop control and virtual mass inertia for stabilizing the bus; the top tier utilizes second-order low-pass filtering (LPF) in order to distribute the power and also makes use of the refrigeration thermal mass to reduce peak demand. Simulation results demonstrate that the CE-DPS will keep the DC bus voltage from exceeding safe operating limits (712 V), eliminate overshoot of the voltage during transient operation, and retain system stability in addition to providing an estimated exergy efficiency of 68% and median hydrogen consumption of 12.1 kg/100 nm, providing an overall fuel savings rate of 15.6%.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70991","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752609","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":"MHD Heat Transfer Enhancement in TiO2-Fe3O4/Water Hybrid Nanofluid Over a Porous Stretching/Shrinking Surface With Suction/Injection and Heat Source Effects","authors":"K. Govardhan,&nbsp;S. Renuka,&nbsp;V. Meenakshi,&nbsp;G. Narender","doi":"10.1002/eng2.70927","DOIUrl":"https://doi.org/10.1002/eng2.70927","url":null,"abstract":"<p>Hybrid nanofluids have gained considerable attention in engineering and industrial applications due to their superior thermal conductivity compared to conventional fluids and single component nanofluids, leading to enhanced heat transfer performance. This study investigates the magnetohydrodynamic (MHD) flow and heat transfer characteristics of a TiO₂-Fe₃O₄/water hybrid nanofluid over a porous stretching/shrinking sheet under the influence of suction and injection. The analysis incorporates important energy dissipation mechanisms, including Joule heating, internal heat generation, and thermal radiation effects. A mathematical formulation based on the governing Navier–Stokes and energy equations is developed and subsequently reduced to a system of nonlinear ordinary differential equations using suitable similarity transformations. The resulting boundary value problem is solved numerically using the shooting method in combination with a fourth-order Adams–Moulton scheme. The results reveal that heat transfer is significantly enhanced with increasing Eckert number and radiation parameter, while stronger suction diminishes thermal transport by thinning the thermal boundary layer and increasing the magnetic parameter suppresses velocity while elevating temperature due to Lorentz and Joule heating effects. Increasing the hybrid nanoparticle volume fraction leads to notable enhancements in both velocity and temperature profiles due to improved momentum and energy diffusion. Furthermore, the skin friction coefficient decreases for stretching surfaces, promoting flow stability, whereas an opposite behavior is observed for shrinking surfaces. The magnitude of skin friction increases with higher TiO₂ volume fraction, consistent with the progressive thinning of the boundary layer.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70927","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752682","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":"Understanding When Attention Helps: A Systematic Empirical Study of Attention Mechanisms in Medical Image Classification","authors":"Nujhat Raisa Arpa,&nbsp;Mahtab Newaz,&nbsp;Md. Mazharul Islam Nibir,&nbsp;Ramisa Lamya,&nbsp;Deponker Sarker Depto,&nbsp;M. R. C. Mahdy","doi":"10.1002/eng2.70957","DOIUrl":"https://doi.org/10.1002/eng2.70957","url":null,"abstract":"<p>Attention mechanisms are widely adopted in medical image analysis to enhance feature discrimination, yet their effectiveness is often assumed rather than systematically validated. Existing studies typically evaluate limited attention designs under narrow experimental settings, making it difficult to determine when attention is beneficial and when it provides limited value. In this work, we present a systematic empirical analysis of attention mechanisms for medical image classification. Fourteen representative attention modules spanning channel, spatial, and branch-based designs are integrated into four convolutional neural network backbones and evaluated across four primary medical imaging datasets representing large imbalanced radiology, large balanced microscopy, small balanced microscopy, and large multiclass imbalanced microscopy. A focused imbalanced ALL-IDB2 subset experiment is further conducted to examine whether channel attention remains effective under small-data minority-class scarcity. Results show that attention effectiveness is strongly scenario-dependent and governed by interactions among attention type, backbone capacity, dataset scale, class balance, and classification complexity. Channel attention emerges as the most stable and consistently beneficial design, particularly under class imbalance and limited data. Spatial attention exhibits higher variability, with lightweight hybrid designs outperforming more complex spatial modeling approaches. Branch-based attention can provide notable gains, but its benefit is primarily driven by dynamic convolution, while other branch mechanisms show inconsistent improvements. By combining performance evaluation with computational analysis and qualitative interpretability, this study provides actionable, evidence-based guidance for selecting attention mechanisms in medical imaging. Through this work, we clarify when attention improves performance and when it offers limited value, supporting principled model design over ad hoc architectural choices.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70957","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752611","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}