Results in Engineering最新文献

{"title":"Optimizing construction scheduling using the sine cosine algorithm (SCA) with building information modeling (BIM)","authors":"J. Vahidi ,&nbsp;S.M. Golmaei","doi":"10.1016/j.rineng.2025.107100","DOIUrl":"10.1016/j.rineng.2025.107100","url":null,"abstract":"<div><div>This study proposes a novel method for generating construction schedules from BIM data using the Sine Cosine Algorithm (SCA). Traditional scheduling techniques, such as the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT), often struggle to capture the spatial and temporal interdependencies in complex construction projects. The proposed SCA-based method addresses these limitations by optimizing construction sequencing based on both spatial and temporal constraints. In the tested BIM model, the method achieved a 100 % constructability score, meaning that all identified spatial and temporal dependencies were fully satisfied. However, this result is specific to the tested case and may not generalize to all project types. Compared to traditional methods, the SCA-based approach yielded a 15 %–20 % improvement in constructability scores, highlighting its potential for enhancing scheduling performance. The paper also discusses the challenges of extracting and using BIM data for scheduling and suggests directions for future research to improve generalizability and robustness.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107100"},"PeriodicalIF":7.9,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027617","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":"A novel hybrid CNN-CBAM-GRU method for intrusion detection in modern networks","authors":"S. M. Hosseini,&nbsp;A. Ebrahimi,&nbsp;M. R. Mosavi,&nbsp;H. Sh. Shahhoseini","doi":"10.1016/j.rineng.2025.107103","DOIUrl":"10.1016/j.rineng.2025.107103","url":null,"abstract":"<div><div>With the rapid expansion and growing reliance on interconnected systems across industries, ensuring robust network security has become an increasingly critical and urgent concern. The complexity of modern networks, coupled with the evolving nature of cyber threats, underscores the importance of safeguarding sensitive data and infrastructure. Intrusion Detection Systems (IDS) play a pivotal and indispensable role in this context, serving as essential tools for detecting, analyzing, and mitigating a wide variety of sophisticated cyber threats. These systems are designed to monitor, identify, and respond to malicious activities within increasingly dynamic, high-speed, and complex network environments, ensuring operational resilience and security. Four models for intrusion detection in network environments are presented in this study, utilizing deep learning architectures: Convolutional Block Attention Modules (CBAM) with Convolutional Neural Network (CNN), Gated Recurrent Units (GRU), a sequential combination of CNN-CBAM and GRU, and a parallel combination of CNN-CBAM and GRU. The system is evaluated on UNSW-NB15 and NSL-KDD datasets for binary and multi-class classification tasks and are evaluated in comparison to other studies in the literature. Results indicate the parallel CNN-CBAM-GRU configuration achieves superior performance, with multi-class classification accuracies of 96.30 % and 99.56 % on UNSW-NB15 and NSL-KDD, respectively. The sequential CNN-CBAM-GRU model also delivers competitive results, achieving 96.19 % on UNSW-NB15 and 99.54 % on NSL-KDD. These findings highlight the effectiveness of the proposed IDS in modern network security environments.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107103"},"PeriodicalIF":7.9,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047244","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":"Combined dynamic and thermodynamic modeling of beta-type stirling engine with hypocycloid gear mechanism","authors":"Yasin Arslan,&nbsp;Turgut YILMAZ","doi":"10.1016/j.rineng.2025.107108","DOIUrl":"10.1016/j.rineng.2025.107108","url":null,"abstract":"<div><div>This study introduces a novel dynamic–thermodynamic modeling approach for a Beta-type Stirling engine incorporating a customized hypocycloid gear mechanism with a specific gear ratio of 1:2. This particular ratio offers a distinct advantage over previously studied gear configurations by enabling perfectly linear motion of both the power and displacer pistons. As a result, lateral forces are eliminated, allowing all gas expansion forces to contribute directly to useful work, thereby reducing frictional and structural losses. Compared to the widely used and mechanically efficient rhombic drive, the proposed mechanism delivers superior performance while simplifying the kinematic layout, achieving a mechanical effectiveness of 97 %.</div><div>The developed model couples thermodynamic gas force generation with multibody dynamic analysis using a Lagrangian formulation. Gas forces derived from instantaneous cycle pressure are applied to the dynamic model and updated at each iteration to compute the acceleration of the output shaft. Gear friction losses are calculated using elastic contact theory, enabling accurate prediction of dynamic losses. Validation against MSC ADAMS simulations confirms the model’s accuracy in predicting both piston motion and torque response.</div><div>The proposed system achieves higher thermal efficiency (13.1 % vs. 11.9 %) and second-law efficiency (40.1 % vs. 36.6 %) than the rhombic mechanism under comparable operating conditions, including swept volume, charge pressure, and temperature range, delivering 1958 W at 1496 rpm. A scaled configuration with 50 % reduced swept volume outputs 871 W at 1387 rpm. These results highlight the potential of the hypocycloid-driven Stirling engine for compact and efficient energy conversion in renewable and waste heat recovery applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107108"},"PeriodicalIF":7.9,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145011212","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":"Advanced function of Novel Ba2MnS3/rGO nanomaterials for enhanced Photocatalytic, Antibacterial, A549 cell line and Molecular docking applications","authors":"G. Gnanamoorthy ,&nbsp;Zhang Xiangyam ,&nbsp;Subramaniyan Magesh ,&nbsp;Yuxi Guo ,&nbsp;S. Munusamy ,&nbsp;R. Kaviya ,&nbsp;Gracy Jenifer Sahayanathan ,&nbsp;P. Chermakani ,&nbsp;Virendra Kumar Yadav ,&nbsp;Jie Jin ,&nbsp;Ziyang Lu","doi":"10.1016/j.rineng.2025.107018","DOIUrl":"10.1016/j.rineng.2025.107018","url":null,"abstract":"<div><div>The present research presents the production of innovative Ba₂MnS₃ and Ba₂MnS₃/reduced graphene oxide (rGO) nanocomposites by a green hydrothermal technique utilizing lemon extract as a reducing agent. The developed materials went through comprehensive characterisation through X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, Raman spectroscopy, UV–Vis diffuse reflectance spectroscopy (DRS), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDX), X-ray photoelectron spectroscopy (XPS), Brunauer-Emmett-Teller (BET) analysis, and thermogravimetric analysis (TGA). These analyses confirmed their high phase purity, successful formation of ternary sulfides, and crystallite sizes of 58 nm for Ba₂MnS₃ and 65 nm for Ba₂MnS₃/rGO. The Ba₂MnS₃/rGO nanocomposite showed a reduced bandgap (1.5 eV), enhanced thermal stability, and morphological transformation to sheet-like structures. Photocatalytic studies under visible light exhibited significantly improved degradation efficiencies for methyl orange (90.8 % in 70 min) and malachite green (97.7 % in 30 min) compared to pure Ba₂MnS₃. Antibacterial assays showed strong inhibition against <em>Staphylococcus aureus</em> and <em>Escherichia coli</em>, supported by favorable minimum inhibitory concentration (MIC) values. Cytotoxicity evaluation against A549 lung carcinoma cells showed an IC₅₀ of 100 µg/mL, indicating notable anticancer potential. Molecular docking and molecular dynamics simulations revealed stable and high-affinity binding of Ba₂MnS₃/rGO with KRAS^G12D (-10.0 kcal/mol) and KRAS^G12C (-9.6 kcal/mol) oncogenic proteins, suggesting inhibitory potential. These multifunctional nanocomposites hold promise for integrated photocatalytic, antibacterial, and anticancer applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107018"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047548","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":"Synergistic effect and kinetic evaluation of swine manure and waste kitchen oil co-digestion","authors":"Cuong Manh Duong ,&nbsp;Thu Thi Hong Do ,&nbsp;Teng-Teeh Lim","doi":"10.1016/j.rineng.2025.107092","DOIUrl":"10.1016/j.rineng.2025.107092","url":null,"abstract":"<div><div>While different biomass sources were commonly used in biogas systems, the synergistic effect was controversial, and the variety of models and criteria made it difficult to determine a best-fit equation. In this study, the evaluation of synergistic benefits and kinetic parameters was performed in a batch study fed by swine manure (SM) and waste kitchen oil (WKO) with four treatments (M4 (4 g-VS_SM/L), M4F1, M4F2, and F2 (2 g-VS_WKO/L)) and the control. The addition of WKO significantly increased the biogas yield (up to 1527±131 mL/g-VS), compared to 827 ± 109 mL/g-VS of SM mono-digestion, due to the higher biogas potential of WKO than that of SM. However, the co-digestion performance index (CPI) and linear relationship indicated no synergistic benefit. The kinetic analysis showed that the oily material had a longer lag phase (up to 0.65 d) compared to SM, indicating the necessity of combining the two substrates for system optimization. Four kinetic models exhibited high accuracy, and the Cone equation showed a better result on the longer lag-phase treatment. The high correlations between the AIC and BIC (R²=1), or MAPE and RMSE (R²=0.997), demonstrated the consistency between those parameters. The study revealed the consistency of CPI and linear regression to determine synergistic benefits, and kinetic parameters to evaluate the simulated models in AD systems.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107092"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027619","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":"Investigation of thermal transport enhancement and flow dynamics in biocompatible Au-Ag/blood casson hybrid nanofluid subject to magnetohydrodynamic force and surface slip on a vertical cone","authors":"Vinothkumar B ,&nbsp;Sreenivasulu P ,&nbsp;Poornima T","doi":"10.1016/j.rineng.2025.107074","DOIUrl":"10.1016/j.rineng.2025.107074","url":null,"abstract":"<div><div>Heart pumps, artificial joints, and other implants involve moving parts where friction and heat generation can occur. Nanofluids could potentially act as coolants or lubricants to maintain optimal temperatures and reduce wear in these systems. This study investigates the flow and thermal behaviour of a Casson fluid containing hybrid ternary nanoparticles (gold and silver dispersed in blood) over a vertical cone surface under the influence of magneto-hydrodynamics (MHD). The model incorporates complex physical effects including thermal and momentum slip, variable heat sources and sinks, and buoyancy-induced thermal convection. The governing boundary layer equations are transformed using similarity variables and solved numerically. Streamline patterns and Nusselt number variations are analysed for varying magnetic parameter M, nanoparticle volume fraction β, and slip conditions. The results reveal that the inclusion of hybrid nanoparticles significantly enhances heat transfer, while magnetic effects tend to suppress fluid motion due to Lorentz force. Additionally, the presence of non-uniform heat generation and slip conditions alters the thermal boundary layer characteristics, making this model highly applicable to biomedical and industrial heat management systems. Certain diagnostic procedures or devices might involve fluid flow and temperature control, where understanding thermal behaviour of blood with nanoparticles could be important.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107074"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047544","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":"Performance of cationic asphalt particles synthesized through (CH3O)2SO2 displacement reaction on water-based drilling fluid properties and evaluation of their impact on wellbore stability in shale formation drilling","authors":"Saviour Bassey Egwu ,&nbsp;Deng Jingen ,&nbsp;Zhao Xionghu","doi":"10.1016/j.rineng.2025.107090","DOIUrl":"10.1016/j.rineng.2025.107090","url":null,"abstract":"<div><div>To solve the problem of wellbore instability, cationic asphalt particles obtained through synthesis of asphalt and dimethyl sulphate (CH₃O)₂SO₂ at molar ratio of 1:1 were incorporated into water-based mud. After chemical synthesis, various characterization techniques were performed to confirm suitability of the synthesized cationic asphalt particles for enhancing wellbore stability and water-based mud properties. These tests include: particle size analysis, Zeta Potential test, Fourier-Transform Infrared Spectroscopy (FT-IR), low-pressure/low-temperature (LPLT) and High-pressure/High-temperature (HPHT) rheology evaluation, LPLT/HPHT fluid loss test, shale dispersion tests, and clay swelling tests.</div><div>Owing to the displacement of hydrogen present in the asphalt amine group (N<img>H) by the (CH₃)₂ during chemical synthesis, asphalt particle size changed from an initial 50 µm to 356.2 nm. FT-IR spectroscopy indicated formation of new C<img>N covalent bond at wavenumber 1200cm⁻¹ (90 % Transmittance) highlighting the occurrence of chemical reaction. The cationic asphalt particles zeta potential values ranged between -39 mV to -65 mV, thereby highlighting the synthesized asphalt particles excellent colloid stability in aqueous media. The asphalt particles induced fluid loss reduction when incorporated with CMC into the base mud. Due to encapsulation, electrochemical attractive and bridging forces between the (CH₃O)₂SO₂ cationic asphalt and net negatively charged clay surface, a shale recovery percentage of 77.7 % was achieved while clay swelling test results highlighted clay swelling index of 0.73 mm. These indicate that the synthesized cationic asphalt particles can reduce clay swelling and shale dispersion thereby improving wellbore stability.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107090"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047245","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":"Concentrating solar power (CSP) plant data-driven digital twin: A novel method for flux density prediction","authors":"Diaz Alonso Sergio ,&nbsp;Raeder Christian ,&nbsp;Hoffschmidt Bernhard","doi":"10.1016/j.rineng.2025.107096","DOIUrl":"10.1016/j.rineng.2025.107096","url":null,"abstract":"<div><div>Concentrating solar power (CSP) is a promising renewable energy source because of its potential contribution to power generation and fuel synthesis (among others). However, several constraints continue to limit the economic and environmental attractiveness of this technology. One of the most important issues to address is measuring receiver efficiency, yet current methods are disruptive, expensive and complex. To overcome this, the present work introduces a data-driven digital-twin model for solar flux density predictions in central receiver systems (solar power towers). It consists of a real-time data agent that integrates signals collected at a CSP plant into flux density prediction tools. This flux prediction is coupled with a self-correction module based on graph neural networks (attention-gated U-Net) designed to replace simulations’ mathematical with deep-learning algorithms trained on realistic flux density measurements. The outcome is a semi-autonomous cyber-physical model that achieves latencies below 30 s for common CSP operations and flux density characterization accuracies up to 95 %, which makes it readily scalable, industrially applicable and more accurate than SOTA models. Its industrial relevance is boosted by a comprehensive training routine based on several heliostats’ superposed fluxes at realistic conditions.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107096"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145011211","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":"Bio-based phase-change materials for thermal energy storage: Recent advances, challenges, and outlook","authors":"Bhanu Teja Nalla ,&nbsp;Ganesan Subbiah ,&nbsp;Deepak K ,&nbsp;Sankar Narayan Das ,&nbsp;Sunil Kumar M ,&nbsp;Suneel Kumar Swarnkar ,&nbsp;Nandagopal Kaliappan ,&nbsp;Kamakshi Priya K","doi":"10.1016/j.rineng.2025.107087","DOIUrl":"10.1016/j.rineng.2025.107087","url":null,"abstract":"<div><div>This review systematically examines recent advances (2022–2025) in bio-based phase change materials (PCMs) for thermal energy storage (TES). Emphasis is placed on renewable PCMs derived from fatty acids, plant oils, and biowaxes, highlighting progress in synthesis strategies, structural modifications, performance enhancement, and techno-environmental sustainability. Nanofiller incorporation, including graphene nanoplatelets and boron nitride, has improved thermal conductivity by up to 400 %, while advanced encapsulation techniques ensure over 95 % enthalpy retention across 1000 cycles. Life cycle assessments (LCAs) reveal 40–60 % lower CO₂-equivalent emissions compared to paraffin-based PCMs, underscoring environmental benefits. Application-driven case studies demonstrate significant impacts: energy savings of up to 25 % in HVAC-integrated building envelopes, peak temperature reductions of 10–15 °C in battery thermal management, and prolonged heat retention of 4–5 h in solar thermal systems. Nonetheless, challenges remain in oxidation stability, long-term durability, leakage mitigation, scalability, and cost competitiveness. The review distinguishes incremental improvements from transformative innovations, contrasts bio-based with petrochemical PCMs, and identifies hybrid TES systems as emerging solutions. A commercialization-focused roadmap aligns challenges with industry initiatives and technology readiness levels, offering short-, medium-, and long-term strategies. Overall, this work provides an evidence-based synthesis to accelerate the transition of bio-PCMs from laboratory research to scalable, low-carbon TES applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107087"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020857","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":"Systematic review of 4D BIM benefits in construction projects","authors":"Inzimam Ur Rehman ,&nbsp;Khwaja Mateen Mazher ,&nbsp;Ibrahim Yahaya Wuni","doi":"10.1016/j.rineng.2025.107091","DOIUrl":"10.1016/j.rineng.2025.107091","url":null,"abstract":"<div><div>The use of 4D Building Information Modeling (BIM) is expanding rapidly in the construction industry, offering significant potential to improve visualization, project planning, resource management, and error reduction. However, existing literature tends to address 4D BIM benefits in isolation, without providing a consolidated view to understand all of its vital benefits. This study conducted a systematic literature review (SLR) of 69 peer-reviewed articles to identify and categorize 57 distinct benefits of 4D BIM. These benefits were grouped into ten thematic taxonomies, including visualization and communication, scheduling and planning, construction progress monitoring, and others. A combination of citation frequency analysis and Pareto principles was used to identify the most influential (vital few) benefits within each category. The findings revealed that enhanced visualization (VCB1), improved communication and coordination between stakeholders (VCB2), enhanced construction scheduling (SPB1), and enhanced construction progress monitoring (CPMB1) were among the most frequently cited benefits. In contrast, benefits related to sustainability, legal and decision support, and technological integration remain underexplored. This review study contributes a structured benefits framework for 4D BIM and provides valuable insight for researchers, practitioners and policymakers to prioritize digital construction strategies. Future research can focus on exploration of the potential benefits of 4D BIM in the knowledge domains of sustainability and dispute resolution and investigate its role when integrated with modern construction technologies and methods, such as offsite construction and lean project delivery methods. These benefits can also be empirically investigated to obtain expert knowledge on their level of exploitation in the field.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107091"},"PeriodicalIF":7.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027550","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}