Arabian Journal for Science and Engineering最新文献

{"title":"Facilely Synthesized CeNi1-xCoxO3 Perovskite Catalyst for Combined Steam and CO2 Reforming of Methane","authors":"Do Ba Long,&nbsp;Tri Nguyen,&nbsp;Hong Phuong Phan","doi":"10.1007/s13369-024-09764-2","DOIUrl":"10.1007/s13369-024-09764-2","url":null,"abstract":"<div><p>Herein, a series of CeNi_1-xCo_xO₃ (<i>x</i> = 0.1, 0.3, 0.5, and 0.7) was prepared by a co-precipitation method for combined steam and CO₂ reforming of methane (CSCRM) reaction. The influence of incorporating Ni with Co species in the perovskite structure was elucidated by both the catalytic performance and physicochemical properties of as-prepared materials. Several modern techniques were utilized to study the catalysts’ properties, including XRD, EDS, SEM, HR-TEM, Nitrogen adsorption–desorption, H₂-TPR, CO₂-TPD, and Raman spectroscopy. As Co modification content increased, respective to x value in CeNi_1-xCo_xO₃ change from 0.1 to 0.5, calcined catalysts’ crystallite size of separated M₂O_x oxides gradually increased from 16.2 to 20.3 nm. Investigating the CO₂-TPD and H₂-TPR profiles showed that CO₂ adsorption ability of catalysts increased while reducibility decreased when x value increased from 0.1 to 0.5. Despite clearly change of physicochemical properties, the Co content in range of <i>x</i> = 0.1–0.5 did not have significant influence on the catalytic activity in CSCRM reaction. The properties of catalyst with higher Co content (<i>x</i> = 0.7) changed differently compared to catalysts with <i>x</i> = 0.1–0.5, which seemed positive (smaller crystallite sizes of calcined perovskite and reduced metallic phases of 12.9 nm and 12.8 nm, respectively; slightly larger specific surface area of 13.0 m²/g, higher hydrogen consumption in TPR analysis), but the catalytic activity of this catalyst slightly lower than other surveyed catalysts at a low temperature of 550 °C. Despite that, all studied catalysts showed quite similar catalytic performance at high temperature range, which was considered as favorable operation condition for the reaction. The study also revealed an excellent coke tolerance ability of perovskite-derived catalysts in the CSCRM. The as-prepared CeNi_0.5Co_0.5O₃ catalyst showed a comparable activity compared to other published results on other catalysts, with CH₄ and CO₂ conversions of 94.6% and 93.2%, respectively. The comparison with other studies also revealed a high CH₄ conversion rate of 6381 mL_CH4.g⁻¹.h⁻¹ and an excellent CO₂ conversion rate of 3269 mL_CO2.g⁻¹.h⁻¹ on CeNi_0.5Co_0.5O₃ in a high space velocity of 3 × 10⁵ mL.g⁻¹.h⁻¹.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 6","pages":"4351 - 4366"},"PeriodicalIF":2.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13369-024-09764-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extraction and Removal of Lithium by Adsorption onto Resin Amberlyst35 from Bayer Liquor Before Seed Decomposition","authors":"Song Wang,&nbsp;Guozhi Lv,&nbsp;Xiaofei Li,&nbsp;Tingan Zhang","doi":"10.1007/s13369-024-09761-5","DOIUrl":"10.1007/s13369-024-09761-5","url":null,"abstract":"<div><p>Lithium present in Bayer liquor enters the alumina during the seed decomposition process, subsequently increasing energy consumption in the aluminum electrolysis process, which is environmentally unfriendly. Combined with the global demand for lithium and the alumina industry’s pursuit of high-quality alumina, it highlights the essential need for lithium recovery in the alumina production process. This study utilized Amberlyst35 resin as an adsorbent for the adsorption of lithium from Bayer mother liquor. Under experimental conditions consisting of a causticity ratio of 1.5 in sodium aluminate solution, lithium ion concentration of 6.8 mmol/L, and a reaction temperature of 70 °C maintained over a 240-min period, the resin exhibited a lithium adsorption capacity of 5.88 mmol/g and a removal efficiency of 69.18%. The adsorption process was fitted with the pseudo-second-order kinetic model and Langmuir isotherm model, and the theoretical saturation adsorption capacity of lithium was 6.485 mmol/g. The adsorption process is an endothermic process and occurs spontaneously. Analytical techniques, specifically Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy, revealed the presence of sulfonic acid groups (–SO₃H) within the resin. A notable reduction in the peak intensities associated with these sulfonic acid groups post-adsorption suggested a direct interaction between the lithium ions and the sulfonic acid functionalities of the resin.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 6","pages":"4339 - 4349"},"PeriodicalIF":2.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developments and Advances in Electrode Materials for Electrochemical Treatment of Industrial Wastewater","authors":"Sonal Rajoria,&nbsp;Manish Vashishtha,&nbsp;Vikas K. Sangal","doi":"10.1007/s13369-024-09733-9","DOIUrl":"10.1007/s13369-024-09733-9","url":null,"abstract":"<div><p>The modern world produces vast amounts of wastewater due to rising human activity, industry, and urbanization. Physicochemical and biological techniques are commonly utilized for the degradation of industrial wastewater and have proven to be highly effective in eliminating contaminants. However, some pollutants in industrial wastewater are very hard to eliminate with conventional physicochemical and biological methods, growing interest in using electrochemical oxidation (EO) for efficiently degrading industrial wastewater recently. This review mainly focuses on the effectiveness of different electrode materials in the EO process for wastewater treatment. The scope of research in this field is broad, and the purpose of this review is to evaluate how much interest there is in each field of industrial wastewater treatment. Since 2011, Science Direct has collected the number of annual articles directly relevant to electrode materials used for EO. A bar graph was used to analyze the evolution of research analyses from 2011 to 2023. According to this study, interest in electrode materials used for EO of wastewater treatment has increased throughout the past 13 years. In this paper, different electrode materials and industrial wastewater are discussed. The constantly growing trends in electrode materials used for EO of wastewater show that this technology is still in demand, and this interest should materialize into new applications for a sustainable and assured future.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 6","pages":"4313 - 4338"},"PeriodicalIF":2.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generating Osmotic Power Using Waste Effluents for Pressure-Retarded Osmosis","authors":"Osamah A. H. AL-Musawi,&nbsp;Abdul Wahab Mohammad,&nbsp;Hameed B. Mahood,&nbsp;Wei Lun Ang,&nbsp;Ebrahim Mahmoudi,&nbsp;Abdul Amir H. Kadhum","doi":"10.1007/s13369-024-09751-7","DOIUrl":"10.1007/s13369-024-09751-7","url":null,"abstract":"<div><p>Pressure-retarded osmosis (PRO) has a chemical potential to generate sustainable energy by utilising a semi-permeable membrane. RO-brine management with effluents being disposed of and energy usage are two issues that RO systems and deionised units face. The energy generation using the PRO techniques is proposed to address both of these issues practically. PRO can be used and integrated with the configuration of RO-brine as draw solution (DS) and effluent from demineralisation unit as feed solution (FS) that may generate the osmotic power density when it is applied. In this study, osmotic pressure for DS and FS was computed experimentally to predict <span>({text{W}}_{text{p}})</span> of the PRO, and the performance of the PRO process was evaluated using various scenarios, which included the spatial process parameters of applied pressure, concentrations and flow rates for DS and FS. In this approach, the effluent solutions could serve as an inflow source. Additionally, there is no need for pre-treatment of the DS and FS, as is required in the common PRO system. Experiments were conducted to estimate the transport properties of commercial SW-membranes. Based on these experimental scenarios, trials were conducted using three DS of NaCl concentrations of ~ 51.8, 44.1, and 36.2 g/L to investigate the viability of the PRO, where the largest <span>({text{W}}_{text{p}})</span> reached 2.83, 2.32, and 1.94 W/m², while the smallest <span>({text{W}}_{text{p}})</span> was 1.5,1.18, and 1.0 W/m², and the flux reversal point of the <span>({Delta text{p}}_{text{PRO}}text{ was})</span>~10.8 bar and 9.4 bar, corresponding to the different flow rates. Additionally, the effects of dilution on the system were also observed.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 6","pages":"4295 - 4311"},"PeriodicalIF":2.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in Vertical Axis Wind Turbine Technologies: A Comprehensive Review","authors":"Hossein Seifi Davari,&nbsp;Mohsen Seify Davari,&nbsp;Ruxandra Mihaela Botez,&nbsp;Harun Chowdhury","doi":"10.1007/s13369-024-09723-x","DOIUrl":"10.1007/s13369-024-09723-x","url":null,"abstract":"<div><p>The accelerating global energy crisis and the worsening impacts of climate change have heightened the demand for alternative energy sources. Wind energy is one of the most reliable, affordable, efficient, and readily available renewable sources for residential and industrial use. In response, vertical axis wind turbines (VAWTs) have garnered significant recognition in recent years, leading to increased development and widespread implementation across the globe. A VAWT is a type of wind turbine (WT) known for its compact design, ease of maintenance, and competence in utilizing wind from multiple directions, making it highly suitable for city landscapes. The global impact of VAWTs is significant, as they contribute to the reduction of carbon emissions and the transition toward a more sustainable energy future. Despite these benefits, VAWTs face drawbacks, including lower performance than horizontal axis wind turbines and challenges with achieving consistent self-starting under varying wind speed (<span>({U}_{infty })</span>) conditions. This work primarily explores scientific literature and contemporary advancements in VAWT research. The study examines the existing research gaps, challenges, and potential future directions for these turbines and their applications. The outcomes of different strategies are thoroughly evaluated, with the most effective methods highlighted. Consequently, this review offers comprehensive insights into the challenges and solution approaches associated with VAWTs, paving the way for future research to improve aerodynamic performance.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 4","pages":"2169 - 2216"},"PeriodicalIF":2.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilizing Atomic Force Microscopy for Microstructural Surface Analysis and Reservoir Evaluation of Shale","authors":"Lei Xu,&nbsp;Rui Shen,&nbsp;Hang Yang,&nbsp;Hekun Guo","doi":"10.1007/s13369-024-09401-y","DOIUrl":"10.1007/s13369-024-09401-y","url":null,"abstract":"<div><p>This study leverages atomic force microscopy (AFM) to analyze shale structure, thereby assessing the reservoir capacity of shale formations. The methodologies employed include the observation of surface morphology, characterization of surface roughness, mechanical property measurements, examination of interfacial forces between solids and liquids, and evaluation of surface potential. Utilizing these methods, we have examined shale samples from the Weiyuan area and discovered that different samples exhibit varying degrees of roughness and surface potential distribution. Additionally, we have identified a correlation between the mechanical properties of functional probes made from oil droplets and the samples. The study’s main conclusion underscores the effectiveness of AFM as a tool for evaluating shale reservoir capacities. Through a thorough investigation, this research illuminates the current state of AFM applications in shale studies and suggests prospective avenues for future research.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"5253 - 5263"},"PeriodicalIF":2.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the Influence Mechanism of Cement Sheath and Formation Elastic Modulus on the Mechanical Behavior of Oil and Gas Well Casing","authors":"Jiajia Jing,&nbsp;Yan Chen,&nbsp;Yang Wang,&nbsp;Xiuming Zhang,&nbsp;Yi Xiang,&nbsp;Xuelun Zhang,&nbsp;Siyan Liu,&nbsp;ZiYin Jiang","doi":"10.1007/s13369-024-09724-w","DOIUrl":"10.1007/s13369-024-09724-w","url":null,"abstract":"<div><p>Casing is the physical barrier of oil and gas well, and its integrity is the key to realize wellbore integrity. Cement sheath is one of the most important barriers to ensure the integrity of casing. There are many studies on the influence of mechanical parameters of cement sheath on the mechanical behavior of casing, but most studies ignore the close relationship between the casing force and the elastic modulus of the cement sheath and formation. Therefore, a two-dimensional finite element model of casing-cement sheath-formation is established; the influence of sensitive factors on the mechanical behavior of casing under the elastic modulus different matching relationships of cement sheath and formation was analyzed. The adaptability analysis of the elastic modulus of the two was carried out to optimize the range of elastic modulus of cement sheath. The results show that the elastic modulus different matching relationships between cement sheath and formation may lead to a 90° transformation of the maximum stress distribution of casing, resulting in a great difference in the location of casing damage in the same geological blocks. Moreover, the matching relationship between the two affects the influence of sensitive factors such as casing wall thickness, wellbore ellipticity and casing eccentricity on casing stress. Therefore, it is necessary to optimize the range of cement sheath elastic modulus according to the elastic modulus of formation and working conditions. The research results are of great significance for the study of casing failure mechanism and the selection of elastic modulus of cement sheath.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"5233 - 5252"},"PeriodicalIF":2.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obtaining the Optimum Concentration of TiO2/ZSM-5 Nanocomposites and Demonstrating Novel Approaches to Increase Oil Recovery in Carbonate Reservoirs","authors":"Yaser Ahmadi,&nbsp;Mohsen Mansouri","doi":"10.1007/s13369-024-09717-9","DOIUrl":"10.1007/s13369-024-09717-9","url":null,"abstract":"<div><p>Nanoparticles have been employed in many fields to improve oil recovery methods in recent years. This work introduced TiO₂/ZSM-5 nanocomposites (TZ-NCs) at the optimal concentration as a new enhanced oil recovery agent. The results from pure TiO₂ nanoparticles (T-NPs) and TZ-NCs were then compared. The reservoir conditions were applied in this study for wettability change, interfacial tension, and zeta potential tests. The same operational ideas were used to create spontaneous imbibition experiments after identifying the optimal concentration. Both TZ-NCs and T-NPs samples were characterized using SEM, FTIR, EDAX, XRD, and BET. XRD confirms the phase purity and high crystalline nature of the prepared T-NPs. The analysis of physicochemical properties confirmed the successful presence of titanium on the ZSM-5 zeolite substrate and the formation of the TZ-NCs. Different concentrations, ranging from 0.05 to 0.3 wt%, were used, and based on the highest zeta potential, contact angle reduction, and interfacial tension, 0.15 wt% was recommended as an optimum concentration for T-NPs and TZ-NCs. At 0.15 wt%, (contact angle, zeta potential) were changed to (72.03°, -45.35 mV) and (50.10°, -50.48 mV) with T-NPs and TZ-NCs, respectively. In order to get ready for additional study, higher oil recovery experiments were conducted for both NPs and NCs at an optimum concentration. After 350 h of operation, the percentage of oil recovered from base, T-NPs, and TZ-NCs increased to 35.70, 58.61, and 67.29%, respectively.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"5223 - 5232"},"PeriodicalIF":2.6,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Automated Approach for Discriminating Hole Cleaning Efficiency While Predicting Penetration Rate in Egyptian Western Desert Wells","authors":"Mohamed Y. Saad,&nbsp;Adel M. Salem,&nbsp;Omar Mahmoud","doi":"10.1007/s13369-024-09706-y","DOIUrl":"10.1007/s13369-024-09706-y","url":null,"abstract":"<div><p>Higher rate of penetration (ROP) indicates successful drilling operation but is not the only drilling success measure. However, Conventional ROP prediction methods focus on increasing ROP and neglect the hole cleaning state, which can be altered by ROP changes. Higher ROP in vertical and deviated wells may increase cutting concentration, leading to hole cleaning problems such as overpulling and stuck pipe. With this problem in mind, this paper utilized geological, rheological, and drilling data of 31 vertical wells across four oil fields located in the Egyptian Western Desert, developed intelligent ROP prediction model through back propagation neural network (BPNN), and compared the proposed BPNN results with an empirical model. Finally, the pattern recognition algorithms including discriminant analysis, support vector machines, and neural network pattern recognition (NNPR) were implemented to discriminate hole cleaning efficiency following the ROP prediction process. Recognition models were developed based on predicted ROP, bit wear rate, specific energy, and drilling fluid carrying capacity index to evaluate hole cleaning. The accuracy of the multi-strategy classifier was evaluated using area under curve, confusion matrix, and receiver operating characteristic. The BPNN model outperformed the empirical model in terms of linear correlation coefficient (R = 98.6%) and average absolute error (AAE = 5.5%). Additionally, the best classification performance was achieved using the NNPR algorithm with 91% accuracy and a cross-validation error equal to zero. For validity, the proposed approach predicted ROP and classified hole cleaning efficiency for new vertical well in adjacent oil field, resulting in a 6% improvement in ROP.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"5195 - 5221"},"PeriodicalIF":2.6,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13369-024-09706-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine-Learning Predictive Model for Semiautomated Monitoring of Solid Content in Water-Based Drilling Fluids","authors":"Shadfar Davoodi,&nbsp;Sergey V. Muravyov,&nbsp;David A. Wood,&nbsp;Mohammad Mehrad,&nbsp;Valeriy S. Rukavishnikov","doi":"10.1007/s13369-024-09689-w","DOIUrl":"10.1007/s13369-024-09689-w","url":null,"abstract":"<div><p>Accurate and frequent monitoring of the solid content (SC) of drilling fluids is necessary to avoid the issues associated with improper solid particle concentrations. Conventional methods for determining SC, such as retort analysis, lack immediacy and are labor-intensive. This study applies machine learning (ML) techniques to develop SC predictive models using readily available data—Marsh funnel viscosity and fluid density. A dataset of 1290 data records was collected from 17 wells drilled in two oil fields located in southwest Iran. Four ML models—least squares support vector machine (LSSVM), multilayered perceptron neural network, extreme learning machine, and generalized regression neural network—were developed to predict SC from the compiled dataset. Multiple assessment techniques were applied to attentively evaluate the models’ prediction performances and select the best-performing, SC prediction model. The LSSVM model generated the least errors, exhibiting the lowest root-mean-square error values for the training (1.80%) and testing (1.84%) subsets. The narrowest confidence interval, 0.18, achieved by the LSSVM model confirmed its reliability for SC prediction. Leverage analysis revealed minimal influence of outlier data on the LSSVM model's SC prediction performance. The trained LSSVM model was further validated on unseen data from another well drilled in one of the studied oil fields, demonstrating the model’s generalizability for providing credible close-to-real-time SC predictions in the studied fields.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"5175 - 5194"},"PeriodicalIF":2.6,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}