International Journal of Thermofluids最新文献

{"title":"Zero-dimensional model of a reversible solid oxide fuel cell system with methanation","authors":"Zeinab Aghaziarati ,&nbsp;Mohammad Ameri ,&nbsp;Mokhtar Bidi ,&nbsp;Paolo Marocco ,&nbsp;Massimo Santarelli ,&nbsp;Marta Gandiglio","doi":"10.1016/j.ijft.2025.101297","DOIUrl":"10.1016/j.ijft.2025.101297","url":null,"abstract":"<div><div>This paper investigates the use of Reversible Solid Oxide Cells (RSOCs) as a connection between electricity and gas networks. The system integrates an RSOC with a catalytic reactor for methane production via electrolysis and power generation in fuel cell mode. A 0-D computational model developed in Matlab, assesses its performance. In electrolysis mode, excess electricity is stored as hydrogen, which is then converted to methane for injection into gas infrastructure. In fuel cell mode, RSOC generates zero-emission electricity from methane or methane-hydrogen mixtures, as hydrogen is increasingly blended into natural gas grids. System’s performance improves with higher hydrogen content, yielding 1.3–1.8 times more power and 11.8 % greater stack efficiency compared to pure methane. Fuel utilization, operating temperature, and steam-to-carbon ratio also impact performance. The roundtrip efficiency of the RSOC decreases with rising current density, dropping from 70.9 % to 28.6 %, with the overall system's roundtrip efficiency peaking at 0.14 A/cm².</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101297"},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306429","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":"Exergy, economic, and water consumption perspectives in the comparative assessment of inlet air cooling methods","authors":"Mohammad Zare,&nbsp;Ahmad Hajinezhad,&nbsp;Seyed Farhan Moosavian,&nbsp;Reza Fattahi","doi":"10.1016/j.ijft.2025.101292","DOIUrl":"10.1016/j.ijft.2025.101292","url":null,"abstract":"<div><div>This study investigates the impact of three inlet air cooling techniques, media evaporative cooling, fogging systems, and absorption chillers, on the performance of a three-block combined cycle power plant with a total capacity of 1434 MW in Iran. The analysis specifically focuses on a single block comprising two gas turbines coupled with one steam turbine. Thermodynamic and economic evaluations were conducted using the ThermoFlow and EES software platforms. The exergy efficiency was evaluated at two ambient temperatures, 20 °C and 30 °C, under a constant relative humidity of 25 %. Higher efficiency improvements were observed at 30 °C, with values of 0.6 %, 1.7 %, and 2.6 % for media evaporative cooling, fogging, and absorption chillers, respectively. Under the design conditions of 40 °C ambient temperature and 25 % relative humidity, all three cooling systems also enhanced power generation efficiency and capacity. The absorption chiller achieved the highest net output increase, 45 MW, followed by fogging, 30 MW, and media evaporative cooling, 26 MW. The corresponding demineralized water consumption rates were 15, 16.5, and 36 m³/h, respectively. Economically, the media evaporative system achieved the shortest payback period of 2.7 years, while the absorption chiller showed the longest at 6.8 years. Under arid climate conditions, the media evaporative system demonstrated superior performance in terms of cost-effectiveness and environmental impact. Conversely, in high-humidity environments, the absorption chiller provided the greatest enhancement in turbine performance. By delivering a comprehensive, multi-criteria assessment of efficiency, cost, and water resource utilization, this research contributes valuable insights toward the sustainable optimization of large-scale combined cycle power plants.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101292"},"PeriodicalIF":0.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270499","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":"Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach","authors":"s Manjunatha ,&nbsp;Khalil Ur Rehman ,&nbsp;Wasfi Shatanawi ,&nbsp;Tanuja T N","doi":"10.1016/j.ijft.2025.101294","DOIUrl":"10.1016/j.ijft.2025.101294","url":null,"abstract":"<div><div>The objective of this study is to examine heat and mass transfer aspects of ternary nanofluid flow in coaxial cylinder under the influence of Arrhenius activation energy, microorganisms’ concentration and bioconvection Peclet number, which a pivotal rolet in various scientific and engineering applications. The flow of ternary nanofluid is caused due to stretching inner cylinder with stationary outer cylinder. The nonlinear partial equations are derived for the flow model and reduced to non-linear ordinary differential equation by applying suitable similarity transformation. The resultant equations are resolved mathematically using Runge Kutta Fehlberg (RKF45) technique. The obtained numerical results are validated with the published work to check the exactness of the solution methodology and it is noticed that the present outcomes are on par with published work. The physical behaviour of the pertinent parameters is analysed through graphical depiction. The derived quantities like drag force and Sherwood number are studied through tabular column. Additionally, the heat transfer rate is analysed by using backpropagated Levenberg-Marquardt Machine learning algorithm. Further, the correlation between the parameter on the rate of heat transfer is analysed by using Mean square error and regression graphs. The key outcome of this research is that, the temperature upsurges by increasing the solid volume of nanoparticle due to higher thermal conductivity of the nanoparticles. Further, it is perceived from the artificial neural network model that, the correlation between the input parameters and output data are strongly correlated (<em>R</em> = 1).</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101294"},"PeriodicalIF":0.0,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290843","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":"Response surface technique for time-dependent Carreau nanofluid flow with entropy generation: A statistical modelling","authors":"Pradeep Kumar ,&nbsp;Ajaykumar A․R․ ,&nbsp;Felicita Almeida ,&nbsp;Qasem Al-Mdallal ,&nbsp;Rudraswamy N․G․","doi":"10.1016/j.ijft.2025.101291","DOIUrl":"10.1016/j.ijft.2025.101291","url":null,"abstract":"<div><div>Optimizing the heat transfer rate for the flow of fluid is fruitful for the industries as well as in the biomedical field. The current study is focused on statistical analysis of heat transmission of the Carreau nanofluid flow by the inclusion of the responses in terms of Nusselt number through response surface methodology. Nonlinear mixed convection is considered to study the natural as well as forced convection. Cattaneo-Christov heat transmission model is employed along with heat generation. Also, entropy generation is considered to analyze the amount of heat disorder in the flow system. After modelling the problem through mathematical expressions, graphs of solutions have been obtained. Results demonstrated that the lower skin friction for higher unsteadiness parameter while keeping the mixed convection factor at its lowest value. Larger rate of heat transmission is obtained for higher value of the thermal relaxation parameter when the unsteadiness parameter is kept low. The Nusselt number decreases by 8-10 % for increasing unsteadiness parameter. Heat dissipation parameter show negative sensitivity at low, medium and high level of Eckert number and positive sensitivity is exhibited by thermal relaxation parameter. For the experimental setup by response surface methodology, the better correlation coefficient is 100 % attained.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101291"},"PeriodicalIF":0.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331381","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":"Significance of Soret Dufour Effects on MHD mixed convective flow of maxwell hybrid nanofluid in porous medium with activation energy","authors":"Waqas Ahmad ,&nbsp;Muhammad Saqib ,&nbsp;Ilyas Khan ,&nbsp;Osama Oqilat ,&nbsp;Muhammad Sabaoon Khan","doi":"10.1016/j.ijft.2025.101278","DOIUrl":"10.1016/j.ijft.2025.101278","url":null,"abstract":"<div><div>To create heating systems that are more economical and efficient, researchers are looking at ways to improve heat transmission and lower fuel usage. Research indicates that solid nanoparticles may considerably enhance the thermal conductivity of normal fluids. The flow of a mixed convective Maxwell Hybrid Nanofluid (HNF) over a porous, linearly expanding flat plate in response to an external magnetic flux is analyzed, taking into account heat radiation, Arrhenius activation energy, Dufour, and Soret effects. Following the necessary modifications, the system is represented by linked nonlinear Partial Differential Equations (PDEs). The three-stage Lobatto IIIa formula approach, which is implemented using MATLAB's shooting method, is used to evaluate the estimated convergence of the numerical solution of these equations. Taking into account that the first and second nanoparticles' volume concentrations fall between 0.01 % and 0.2 %. Numerical results for the Sherwood number, local Nusselt number, and skin friction coefficient are produced under different parameter values. The results are displayed graphically to demonstrate how various variables affect the flow field. Examples of these parameters include thermal and Brownian diffusion, radiation, Eckert, Lewis, and Soret numbers, magnetic and Maxwell fluid parameters, Darcy numbers, Dufour and Prandtl numbers, and so on. The results of the study demonstrated that the Grashof number, Eckert number, the mass Grashof number stretching parameter, Brownian diffusion parameter, thermal diffusion parameter, and volumetric amount of copper all raise the velocity profile. However, the velocity profile is decreased by the volumetric amount of aluminum, the magnetic parameter, and the porous medium.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101278"},"PeriodicalIF":0.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270498","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":"Experimental investigation of high temperature organic phase change materials for waste heat recovery","authors":"Giulia Righetti ,&nbsp;Dario Guarda ,&nbsp;Luca Doretti ,&nbsp;Claudio Zilio ,&nbsp;Francesca Martelletto ,&nbsp;Andrea Dolfi ,&nbsp;Giuseppe Travaglini ,&nbsp;Simone Mancin","doi":"10.1016/j.ijft.2025.101293","DOIUrl":"10.1016/j.ijft.2025.101293","url":null,"abstract":"<div><div>This paper compares the performance of two high temperature organic phase change materials during solid/liquid phase change to study the effects of 3D printed periodic structures in enhancing the heat transfer performance.</div><div>The experimental results reveal that erythritol and an organic material, P130 respond differently to the same thermal stimuli, emphasizing the importance of this analysis to highlight the underpinning heat and mass transfer mechanisms. It can be stated that the phase change materials present peculiar heat transfer characteristics and one of the main challenges is represented by the difficulty in identify a general thermal behaviour (latent heat storage capacity, heat transfer characteristics, material’s response to possible enhancement strategies, etc.) even within the same family of materials. This work confirms that the design of the latent thermal energy storage must be tailored around the specific application and that the thermal conductivity of the phase change materials does not deeply affect the need of the use of enhanced surfaces. In fact, only enhanced surfaces can permit to design efficient and effective latent thermal energy storages that meet the heat load demands.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101293"},"PeriodicalIF":0.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279780","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":"Numerical simulation for heat optimization via nanofluid in the presence of activation energy: A case of dust particles","authors":"Bilal Ahmad ,&nbsp;Bagh Ali ,&nbsp;Muhammad Ozair Ahmed","doi":"10.1016/j.ijft.2025.101248","DOIUrl":"10.1016/j.ijft.2025.101248","url":null,"abstract":"<div><div>Researchers and manufacturers’ primary focus is on the dissipation of energy throughout the heat transfer process. The use of traditional fluids, which have poor heat transfer qualities, was the primary cause of the inefficiency of heat exchange devices during transportation. Conversely, when we replaced the fluids with nanofluids that possessed favorable thermal conductivity qualities, thermal devices performed better. We utilized a variety of nanoparticles due to their high heat conductivity. This study examines the importance of using nanofluid in flow of heat transfer. The model of flow consisted of partial differential equations (PDEs) representing equations for concentration, momentum, energy transmission, and continuity. We transformed the generated model into ordinary differential equations (ODEs) using feasible analogies. The MATLAB environment was used to perform numerical simulations that established the profiles of concentration, velocity, and thermal transfer. We also evaluated the effects of a wide range of factors, including Deborah, Hartman, buoyancy, the size of an external heat source, and other chemical reactions. Nanoparticles increase thermal conductivity. We also juxtapose the results with those from previously published studies. Furthermore, as the Nusselt number and skin friction increase, they exhibit a positive correlation with the variables linked to the Hartman number and buoyancy parameter. The heat transfer rates are 29.26%. 37.12 In the order mentioned, as a result, heat transmission rates increased by 14.23%. There is no text provided. At higher levels of the MHD fluid parameter, the temperature profiles dropped and the velocity profiles rose. The temperature profile rises as the external heat source gets stronger. On the contrary, the buoyancy parameters rise as it goes down. This topic is relevant in various domains, including heat exchangers, electronic device cooling, and automotive cooling systems.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101248"},"PeriodicalIF":0.0,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279779","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":"Molecular dynamics simulation of thermal behavior of ammonia refrigerant in the presence of copper nanoparticles","authors":"Hawzhen Fateh M. Ameen ,&nbsp;Ali B.M. Ali ,&nbsp;Ahmed Shawqi Sadeq ,&nbsp;Narinderjit Singh Sawaran Singh ,&nbsp;Soheil Salahshour ,&nbsp;Sh. Baghaei","doi":"10.1016/j.ijft.2025.101287","DOIUrl":"10.1016/j.ijft.2025.101287","url":null,"abstract":"<div><div>Nanofluids are mixtures of a base fluid and nanoparticles (also known as nano-scaled particles), and they were used within advanced heat transfer applications with known aggregation issues as well as unreliability in performance. Molecular dynamics simulations can effectively look at nanofluid behavior with no disruptions, especially when considering the complications and limitations involved with performing experiments at the nano-scale. We conducted molecular dynamics simulations that investigate the thermal and atomic behaviors of a nanofluid, which involved ammonia nanofluids with copper nanoparticles in aluminum nanochannels. Our results focused on evaluating the outflow of the nanofluid and on determining the primary factors including maximum velocity, temperature heat flux and nanoparticle aggregation time while modifying the initial conditions of temperature (300-350 K), and pressure (1-5 bar). Furthermore, we found the thermophysical properties of the nanofluids were heavily dependent on the initial temperature and pressure. By improving the initial temperature and pressure, thermal systems can support the promotion of efficiency and sustainability. We also measured the kinetic and potential energies, with the potential energies measuring -8399.15 eV and 80.69 eV after 5 ns with no indications of structural instabilities. The results indicated that as the initial temperature was increased, maximum velocity increased from 0.00086 to 0.00099 Å/ps and maximum temperature increased from 240 to 258 K. Furthermore, heat flux decreased from 1411 to 1397 W/m² and aggregation time decreased from 3.96 to 3.93 ns. On the other hand, maximum velocity decreased to 0.00078 Å/ps and maximum temperature decreased to 234 K, as well as heat flux increased to 1436 W/m² and aggregation time increasing time was increased to 4.07 ns, with the increasing initial pressure. These results provided some insight into the optimization of nanofluids for energy conserving thermal control, by varying operating conditions, and offered implications for sustainable engineering applications.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101287"},"PeriodicalIF":0.0,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261914","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":"Prediction and comparison of ice accretion on wind turbine blades between central and northern Europe by neural network and FEM","authors":"Iyad F. Al-Najjar ,&nbsp;Jálics Károly ,&nbsp;László E. Kollár","doi":"10.1016/j.ijft.2025.101273","DOIUrl":"10.1016/j.ijft.2025.101273","url":null,"abstract":"<div><div>Wind energy in inland regions is limited mainly due to low mean annual wind speed and due to turbulence. However, advancements in wind turbine technology made it possible to utilize wind at higher altitude which have a stable and faster wind flow but introduce new issues such as ice accretion. This study analyses ice accretion in January in two European locations, which are Mosonmagyaróvár, Hungary (Central Europe), and Piteå, Sweden (Northern Europe), on a NACA 64–318 airfoil. ANSYS FENSAP-ICE was used to simulate ice accretion for a range of different parameters and conditions such as LWC, temperature, time, cracks and delamination, and snowflakes. The results of the simulation show that cracks and delamination have negligible influence (&lt;3 %) when liquid water content (LWC) is 1 g/m³ but have higher influence over the ice mass when LWC is lowered for example its influence reaches 30 % at LWC of 0.3 g/m³. Furthermore, different Neural network models were trained on MATLAB and IBM SPSS 20 which were able to accurately predict the mass of ice using different regression evaluation metrics such as <em>R</em>², <em>MAE</em>, and <em>RMSE</em> where MATLAB's Bayesian Regularization (BR) model performance was better than the others.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"28 ","pages":"Article 101273"},"PeriodicalIF":0.0,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261913","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":"Influence of building orientation on cooling load: A comparative study","authors":"Ahmad Abdalla,&nbsp;MD Islam,&nbsp;Isam Janajreh","doi":"10.1016/j.ijft.2025.101244","DOIUrl":"10.1016/j.ijft.2025.101244","url":null,"abstract":"<div><div>Reducing the cooling load for buildings is a key sustainability measure. Factors effecting buildings’ cooling load are air conditioning (A/C) system outdoor temperature, humidity, and building configuration etc. Here, transient system simulation is used to compare the impact of building orientation on cooling load in three different MENA regions. The findings revealed that west-oriented buildings demand the highest cooling load (1950.85 Ton.hr in UAE, 1566.14 Ton.hr in Jordan, and 1653.69 Ton.hr in Tunisia) contrary to north-west orientation that require the least (1405.57 Ton.hr in UAE, 376.04 Ton.hr in Jordan, and 521.04 Ton.hr in Tunisia). The percentage disparity between the maximum cooling load of west-oriented buildings and the minimum load of the north-west oriented was 1.54%, 2.33%, 2.03% for UAE, Jordan, and Tunisia, respectively. It emphasizes Jordan greater susceptibility to orientation compared to UAE and Tunisia. The research also compared annual electricity bills and CO₂ emission extrapolated for larger households to each region. The Gross domestic product (GDP) per capita comparison lead to potential savings through different orientations, with Tunisia demonstrating the highest savings-to-GDP per capita ratio at 0.013375, Jordan at 0.012655 and UAE at 0.002666. The CO₂ emission due to orientation resulted in a reduction of 0.00654, 0.00264 and 0.00320 tons per m² in the UAE, Jordan, and Tunisia, respectively. This study employs Life Cycle Assessment (LCA) to investigate the influence of building orientation on CO₂ emissions. It uncovers variations of up to 2.47% (Jordan), 1.91% (Tunisia), and 1.56% (UAE) linked to regional energy mix for electricity generation. Therefore, proper building orientation would offer both economical and CO₂ emission benefits. Sustainable Index is also introduced to account for building orientation by integrating Cooling Load Efficiency (CLE), Economic Savings (ES), and CO₂ Emission Reductions (CER). Finally, Analysis of Variance (ANNOVA) sensitivity analysis explores the effects of ambient parameters on cooling loads, revealing that orientation significantly contributes 16.6% to the variance in the UAE, 10.8% in Jordan, and 15.85% in Tunisia. The findings can serve as valuable guidelines for design of energy-efficient buildings and future sustainable cities.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"27 ","pages":"Article 101244"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947586","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}