Engineering Science and Technology-An International Journal-Jestech最新文献

{"title":"Force-torque and motion analysis of asymmetrical reciprocating endodontic system during canal shaping procedure with the X-SmartPlus and 6:1 contra-angle handpiece","authors":"Sezcan Yılmaz ,&nbsp;Bünyamin Öztürk ,&nbsp;Özgür Irmak ,&nbsp;Ekim Onur Orhan","doi":"10.1016/j.jestch.2025.102122","DOIUrl":"10.1016/j.jestch.2025.102122","url":null,"abstract":"<div><div>To investigate motion analysis of an asymmetrical reciprocating system at different regions of a simulated curved canal comparatively, and to measure force and torque values on various simulated root canals by a reciprocating system. A customized data acquisition unit and target object were designed. An expert’s hands-on performance was recorded on various types of simulated root canals. In-the-canal motion analysis was detailed on curved canal. Data on motion kinematics were statistically analyzed with Kruskal-Wallis, followed by the Dwass-Steel-Critchlow-Fligner or one-way ANOVA, followed by a Tukey test where applicable (p &lt; 0.05). Remarkably, no reverse torque occurred in the apical third of simulated root canals, although the motor continued reciprocation. Torque and force plot pattern of the J-type ellipse cross-sectional simulated root canals differed from the other three types of curved simulated root canals. A significant difference was observed in the median net cycle angles and engaging speeds (p &lt; 0.05). Mainly, in-the-canal kinematics were affected by operation, and the tip of file did not rotate in the reverse direction at apex when manufacturer’s instructions were followed.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102122"},"PeriodicalIF":5.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing extractive multi-documents summarization with a novel dominating set model for semantic relationship detection","authors":"Said Yunus ,&nbsp;Cengiz Hark ,&nbsp;Fatih Okumuş","doi":"10.1016/j.jestch.2025.102127","DOIUrl":"10.1016/j.jestch.2025.102127","url":null,"abstract":"<div><div>In this paper, the Dominant Set-Based Extractive Text summarizing (DSETS) framework is proposed, which gives a new approach to automatic text summarizing. Utilizing the Minimum Dominant Set technique, the proposed framework creates summaries based on a word-level graphical representation that minimizes information loss while maintaining significant semantics. DSETS aims to inspire an alternative perspective on the computational text summarization method. The proposed framework distributes the processing load and reduces time complexity with the segmentation it applies, thus providing more scalable performance on large datasets. Additionally, empirical runtime and memory evaluations revealed that the proposed segmentation strategy reduced processing time by up to 24 % and offered comparable memory usage to lighter baseline methods, demonstrating its practicality in resource-constrained environments. After comparing the effectiveness of the DSETS framework with a series of text summarization techniques, it was determined that it offers significantly improved text summarization performance. Experiments were conducted using four different datasets (BBC News, XSum, CNN/Daily Mail and MultiNews) and summaries of varying word lengths were generated. The proposed framework achieved the highest ROUGE (1, 2, L, W) scores on most of the summary configurations generated on different datasets and various word counts. In particular, ROUGE-W F-scores improved by up to 15.8 %, while ROUGE-1 and ROUGE-L showed significant increases of 3 % to 8 % across various summary lengths. The evaluation results suggest that the DSETS framework was able to outperform many state-of-the-art summarization methods, with improvements observed between 1.3 % and 15.8 % depending on the metric and dataset. To better understand which parts of the system contributed most to this success, an ablation study was carried out. The findings from this analysis indicated that the segmentation mechanism and the semantic filtering process played a key role—particularly in enhancing recall-based performance. Taken together, these results indicate that DSETS is not only a strong and reliable framework for extractive summarization, especially in single-topic documents, but also a promising option for building lightweight and interpretable summarization systems in future applications.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102127"},"PeriodicalIF":5.1,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deformation prediction in innovative implant design with machine learning approaches","authors":"Mehmet Onur Yağır ,&nbsp;Muhammed Fatih Pekşen ,&nbsp;Şaduman Şen ,&nbsp;Uğur Şen","doi":"10.1016/j.jestch.2025.102133","DOIUrl":"10.1016/j.jestch.2025.102133","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This study includes experimental research on a classic implant and a sleeved implant, both designed for experimental purposes and produced as samples for testing. The effects of the sleeved implant, an innovative design in dental implantology, on the jawbone were examined through experimental tests, and the data obtained were analyzed using machine learning (ML). Unlike classic implants, the sleeved implant is predicted to provide a more homogeneous distribution of chewing forces on the bone by reducing stress concentrations around the implant. This innovative design aims to strengthen the integration between the jawbone and the implant, increase the implant’s long-term stability, and reduce bone deformation.&lt;/div&gt;&lt;div&gt;In the experimental part of the study, sleeved and classic implants were produced as samples mounted on cow bones. Then, these implants were tested by subjecting them to various pressures and chewing forces using a double-acting pneumatic mechanism. The deformations of the implants on the bone were recorded with digital load cells and measured with relevant measuring devices. 4263 usable experimental data were collected for the classic implant, and 8832 for the sleeved implant. The data obtained were modeled using a finite element analysis system (ANSYS), and instantaneous deformation data were collected during the modeling process. These instantaneous deformation data were included as an additional feature in the ML dataset and used in the analysis processes.&lt;/div&gt;&lt;div&gt;In the study, the Kernel Support Vector Machine (Kernel SVM), Kernel Logistic Regression (Kernel LR), and extreme gradient boosting (XGBoost) classification methods were employed to assess the impact of the implant on the jawbone. In the ML models applied to the experimental data, the deformation levels created by the sleeved and classic implants were classified as slightly, medium, and serious loss classes. Among the evaluated models, the XGBoost model demonstrated outstanding classification performance for both implant types. For the XGBoost model, the training and test accuracies were 100 % for both classic and sleeved implants. The model was also subjected to the robustness test, which confirmed its stability and consistent performance across varying data conditions. Moreover, the Kernel SVM model provided 95 % training accuracy and 95 % test accuracy for the traditional implant and 92 % training accuracy and 95 % test accuracy for the sleeved implant. Finally, the Kernel LR model provided 92 % training accuracy and 93 % test accuracy for the classic implant. For the sleeved implant, a training accuracy of 88 % and a test accuracy of 90 % were achieved. These results show that XGBoost was the best-performing model overall, followed by Kernel SVM, while the Kernel LR model performed slightly lower on the sleeved implant than the classic implant. Additionally, the study evaluated precision, recall, F1-score, and Area Under the Receiver Operating Characte","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102133"},"PeriodicalIF":5.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A circularly polarized metantenna for 5G and RF energy harvesting applications","authors":"Bikash Ranjan Behera ,&nbsp;Harikrishna Paik ,&nbsp;Mohammed H. Alsharif ,&nbsp;Peerapong Uthansakul ,&nbsp;Monthippa Uthansakul","doi":"10.1016/j.jestch.2025.102124","DOIUrl":"10.1016/j.jestch.2025.102124","url":null,"abstract":"<div><div>We present a broadened, circularly polarized, high-gain surrogate model-assisted differential evolution for antenna synthesis (SADEA)-driven metantenna to fulfill the necessity of 5G communication applications at a sub-6 GHz. Initially, we consider a linearly polarized (LP) printed monopole antenna at Stage 1. To attain circular polarization (CP), a metallic strip is utilized as the dynamic switching mechanism to connect one of the parasitic conducting strips to a partial ground plane and short it out. So, this particular geometry expands upon Stages 2 and 3, proposing a straightforward mechanism to transition from LP to CP. In Stage 4, the objective is to make it a suitable candidate for RF energy harvesting, which is a bigger part of the 5G communication applications. Hence, from the application perspective, we achieve the performance trade-offs by increasing the CP gain, impedance (10-dB BW), and axial bandwidth (3-dB BW). This is achieved by placing the SADEA-tuned metasurface layer at a height of 0.33<span><math><mi>λ</mi></math></span> <span><math><msub><mrow></mrow><mrow><mo>∘</mo></mrow></msub></math></span>, is directly beneath the CP monopole radiator. Stage 4 is fabricated on an FR-4 substrate and offers a measured 46.41% 10-dB BW, 18.42% 3-dB BW, a peak CP antenna gain of <span><math><mo>&gt;</mo></math></span> 8.35 dBic, and an antenna efficiency of <span><math><mo>&gt;</mo></math></span> 75% in the desired operating band. These outcomes are beneficial for technical applications in wireless technology, ensuring the stability of RF networks through the incorporation of smart metasurfaces. Their usage provides individualized, efficient, and typical management of EM waves in accordance with the ambient RF conditions of the desired bands, bringing about an exemplary shift in a wireless communication environment in response to ever-increasing requirements.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102124"},"PeriodicalIF":5.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Big data analysis on flow characteristics according to welded penetration locations for fire sprinkler piping system design","authors":"Joo Hyun Moon ,&nbsp;Jae Heon Gu ,&nbsp;Dong Kyu Kim ,&nbsp;In Woo Jang","doi":"10.1016/j.jestch.2025.102134","DOIUrl":"10.1016/j.jestch.2025.102134","url":null,"abstract":"<div><div>This study presents a big data-driven computational fluid dynamics (CFD) analysis of Tee‐type fire sprinkler pipelines, focusing on how different weld penetration depths affect flow behavior and overall system performance. Over 2000 simulation cases were generated by varying key parameters, including inlet velocity, base and branch diameters, and penetration depths. The results show that deeper penetration can create pronounced recirculation zones and significant local pressure drops, especially in smaller‐diameter main pipes. These undesirable flow disturbances may undermine sprinkler efficiency by causing uneven velocity distribution or increasing cavitation risks. A regression model based on both a power‐law empirical approach and a Deep Neural Network was developed to predict average velocities at multiple monitoring points. The DNN model, supplemented by reinforcement learning, achieved a high accuracy within ±10% error, surpassing simpler regression techniques. This integrated approach highlights how big data simulations and machine learning can guide penetration depth selection, thus improving fire suppression reliability and reducing long‐term corrosion risks in sprinkler systems.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102134"},"PeriodicalIF":5.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams","authors":"Samira Khodabandehlou ,&nbsp;Alireza Hashemi Golpayegani","doi":"10.1016/j.jestch.2025.102119","DOIUrl":"10.1016/j.jestch.2025.102119","url":null,"abstract":"<div><div>Given a vast online stream of transactions in e-markets, how can we detect fraudulent traders and suspicious behaviors in an unsupervised manner? Can we detect them in constant time and memory? Fraud detection in e-markets is increasingly challenging due to the scale and complexity of multi-aspect data streams. This study introduces SATrade, an unsupervised and scalable approach for real-time anomaly detection in big multi-aspect data streams. This approach proposes two novel Locality-Sensitive Hashing (LSH) functions: Gaussian projections to preserve numerical distances and collision-resistant linear hashing to prevent the increase in dimensionality of the categorical data. The main contributions include the Collusiveness metric, which detects group anomalies through statistical divergence analysis, and the RR-ISF, which prioritizes rare burst patterns. An exponential decay mechanism (λ) ensures adaptability to evolving fraud tactics without retraining, while PCA handles feature correlation. In extensive experiments on five real datasets, using both synthetic and real labels, SATrade achieved 99 % AUC, 93 % F-measure, and 0.2 ms/record latency, which is a significant improvement over the six baseline methods. The framework’s interpretability allows tracing anomalies to fraudulent behaviors like sudden order spikes. The constant memory consumption of 0.25 MB per record and linear scalability make SATrade suitable for high-frequency environments and online platforms.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102119"},"PeriodicalIF":5.1,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144517365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tire aging: A state-of-the-art review","authors":"Pietro Stabile ,&nbsp;Gianpiero Mastinu ,&nbsp;Massimiliano Gobbi ,&nbsp;Perla Bardini","doi":"10.1016/j.jestch.2025.102101","DOIUrl":"10.1016/j.jestch.2025.102101","url":null,"abstract":"<div><div>Tire aging is a complex process driven by several environmental and mechanical factors. It significantly impacts vehicle safety and performance, presenting a critical challenge for engineers material scientists. This review paper presents a comprehensive analysis of the key factors affecting the aging of tires (namely oxidation, thermal degradation, ultraviolet (UV) radiation, ozone concentration, and humidity) and examines how each contributes to the loss of mechanical integrity in rubber compounds. Quantitative analyses from the literature show, for instance, that prolonged aging of rubber compounds mainly reduces elongation at break and tensile strength, while modulus and hardness increase. On the tire, these changes lead to an increased risk of failure, reduced traction capabilities, handling issues. For each aging factor, the specific aging mechanism is explored. The review further examines the primary experimental methods used to study the tire aging phenomenon. Particular emphasis is placed on the use of accelerated aging tests and climate chambers. While most studies rely on simplified material specimens, this review highlights the need for methods that better replicate real operational conditions. The paper also addresses the complex synergistic effects arising from the simultaneous action of multiple aging factors, an area that is largely underexplored in the current literature. A major challenge is the definition of accelerated aging test procedures, especially for tires, which involve the combination of mechanical loading and environmental factors. This review bridges fundamental theory of tire aging with practical engineering applications, setting the groundwork for future research in this field.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102101"},"PeriodicalIF":5.1,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CrackNet: A new deep learning-based strategy for automatic classification of road cracks after earthquakes","authors":"Fatih Demir ,&nbsp;Erkut Yalcin ,&nbsp;Mehmet Yilmaz","doi":"10.1016/j.jestch.2025.102128","DOIUrl":"10.1016/j.jestch.2025.102128","url":null,"abstract":"<div><div>Highways are one of the most preferred transport options. Timely maintenance of highways prevents higher maintenance costs in the future. Especially detecting deterioration on highways due to major earthquakes is of great importance. Because humanitarian and logistical material aid is provided to the earthquake areas through highways. Therefore, there is a need for system applications that automatically detect asphalt deterioration. In this study, the images of asphalt cracks that occurred in five different major cities in Turkey after two major earthquakes that occurred consecutively in the Elbistan region were analyzed. These cracks were labeled as major and minor by experts from the construction department. In the next stage, asphalt cracks were categorized with a new deep learning-based model. In the study, data reliability was increased with gradient-based preprocessing steps. In the feature extraction stage, a multi-scale and multi-input customized ConvMixer (MSMICM)-based model was used. In the classification stage, a new weighted-reliefF-subspace-SVM (WRSS) algorithm was developed. This proposed approach achieved 94.2% classification performance.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102128"},"PeriodicalIF":5.1,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transparent metal surfaces on glass windows enhance 5G mm-wave transmission for indoor communication","authors":"Dat Tien Nguyen ,&nbsp;Chang Won Jung ,&nbsp;Jung-Nam Lee ,&nbsp;Jung Ick Moon","doi":"10.1016/j.jestch.2025.102132","DOIUrl":"10.1016/j.jestch.2025.102132","url":null,"abstract":"<div><div>This study presents a straightforward design for a bandpass frequency selective surface (FSS) that achieves high optical transparency (OT) and enhances millimeter-wave transmission through glass windows for 5G indoor wireless communication. These FSSs, applied to glass windows and termed glass-penetrating transparent surfaces (GPTSs), are engineered with <em>meta</em>-surface technology to remain visually unobtrusive in environments where signal propagation control is essential. To maximize OT, a simple square-line pattern with miniaturized metal lines was employed. These square structures are cascaded to minimize the effect of the metal area on transparency, creating an FSS with a top layer of square loops and a bottom layer of grid wires separated by a transparent polymer layer. The proposed GPTSs were evaluated on two types of glass windows with low and high penetration losses. GPTS1, which features wider copper lines (100 μm), maintains good OT at 64 % and operates in the n257 and n261 frequency bands. In addition, GPTS2 employs narrower copper lines (30 μm), achieving an excellent OT of 81.4 %, and operating in the n257, n258, and n261 frequency bands. Results indicate that the proposed FSS designs hold promise as effective solutions for millimeter-wave signal filtering on glass windows.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102132"},"PeriodicalIF":5.1,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent UAV health monitoring: Detecting propeller and structural faults with MEMS-based vibration","authors":"Temel Sonmezocak","doi":"10.1016/j.jestch.2025.102130","DOIUrl":"10.1016/j.jestch.2025.102130","url":null,"abstract":"<div><div>In recent years, with the increasing prevalence of Unmanned Aerial Vehicles (UAVs), numerous studies have been published on mechanical fault detection and safety. However, most of these studies fail to adequately consider real environmental conditions and the behaviour of UAVs at different speed levels both in the air and on the ground. Furthermore, most of these studies are limited solely to propeller damage. Early detection of mechanical faults in UAV systems, including propeller damage, loosening of rotor screws, and UAV carrier arm screws, is crucial for system safety and operational efficiency. In this study, two cost-effective Microelectromechanical System (MEMS)-based models are proposed to effectively detect propeller damage, as well as rotor and carrier arm screw looseness, under real-world environmental conditions and at different rotor rotation speeds. These models are designed to perform fault detection both before and during flight based on the vibration data of a multirotor UAV. To achieve this, vibration signals were analysed using Fast Fourier Transform (FFT) to identify the operational frequency regions under both fault-free and faulty conditions. Additionally, eight different amplitude-frequency features within the significant frequency bands of the signals were examined and compared across different rotor speeds. For fault detection, the performance of Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Decision Tree (DT), and Neural Network (NN) algorithms was evaluated. The model achieved a maximum accuracy of 99.40 % in detecting the severity of propeller damage. Furthermore, the study also investigated loosening conditions in the propeller rotor and UAV carrier arm screws, demonstrating that, in combination with propeller faults, other mechanical loosening problems can be detected with a maximum accuracy of 95.86 %, highlighting the superior performance of the proposed approach.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102130"},"PeriodicalIF":5.1,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}