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

{"title":"In-band spurious suppression in first-order antisymmetric-mode resonators using air holes and half electrode","authors":"Shitao Lv ,&nbsp;Dongchen Sui ,&nbsp;Qiner Xu ,&nbsp;Yi Cao ,&nbsp;Qiang Xu ,&nbsp;Haiyan Sun ,&nbsp;Tengfei Xu ,&nbsp;Jicong Zhao","doi":"10.1016/j.jestch.2025.102207","DOIUrl":"10.1016/j.jestch.2025.102207","url":null,"abstract":"<div><div>Laterally excited bulk acoustic resonator (XBAR) exhibits a high electromechanical coupling coefficient (<em>k_t</em>²) due to their intrinsically superior piezoelectric properties, which is highly advantageous for the subsequent design and implementation of acoustic filters. However,it is not yet suitable for commercial application due to its numerous spurious modes and low quality factor (<em>Q</em> value). This paper presents an exhaustive analysis of the origins of in-band spurious modes and the method to suppress based on the first-order antisymmetric (A1) mode XBAR. Simulation results indicate that these spurious modes primarily originate from acoustic wave scattering along unintended propagation paths and standing waves caused by crosstalk between electrodes. These spurious modes lead to energy dissipation, thereby reducing the resonator’s <em>Q</em> value. To effectively suppress them without increasing fabrication complexity while significantly enhancing the <em>Q</em> value, an etching-hole strategy is proposed, introducing the transverse holes that create acoustic impedance mismatch based on velocity differences. Additionally, the adoption of a half electrode configuration optimizes the electric field and stress redistribution within the resonator, thereby effectively reducing interfacial losses at the electrode-piezoelectric layer interface and enhancing the <em>Q</em> value by approximately 3.5 times. The fabricated XBAR, integrating holes and half electrode configuration, exhibits an in-band spurious-free response, a Bode-<em>Q</em> value of 1954, a <em>k_t</em>² of 27.5 % and an exceptionally high figure of merit (<em>FOM</em> = <em>k_t</em>² × Bode-<em>Q</em>) of 537.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"71 ","pages":"Article 102207"},"PeriodicalIF":5.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145321448","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":"Design and analysis of a continuously linear polarization agile antenna using microwave liquid crystal technology","authors":"Onur Hamza Karabey","doi":"10.1016/j.jestch.2025.102201","DOIUrl":"10.1016/j.jestch.2025.102201","url":null,"abstract":"<div><div>This paper presents the design and analysis of a continuously linear polarization-agile antenna based on Microwave Liquid Crystal (LC) technology. The proposed concept is specifically developed for Ku-band (e.g. 12 GHz) satellite communication applications, where systems typically operate with linear polarization and maintaining polarization alignment, referred to as skew angle adjustment, is critical for reliable on-the-move operation and for avoiding link loss. The antenna system incorporates a tunable feed network comprising two directional couplers and LC-based continuously tunable phase shifters. These feed a dual-fed microstrip patch antenna, enabling full-range linear polarization control over <span><math><mrow><mo>±</mo><mn>18</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>∘</mo></mrow></msup></mrow></math></span> by electronically adjusting the differential phase. The proposed tunable feed network is implemented using microwave LC technology to enable a fully passive architecture without requiring low-noise amplifiers. LC materials offer electrically tunable dielectric properties with inherently low dielectric loss, typically below 0.06 at frequencies beyond 10 GHz, and their loss tangent decreases with increasing frequency, making them particularly well-suited for Ku-band applications and beyond. In addition, LC materials benefit from a mature fabrication infrastructure originating from LC display manufacturing, allowing low-cost, large-area, and scalable production. Full-wave simulations at 12 GHz show that the system achieves a cross-polarization discrimination (XPD) better than 25 dB across the entire skew angle range. The LC-based phase shifters operate with only two bias voltages and provide 180° differential phase shift with an insertion loss below 2.3 dB, yielding a figure-of-merit of 80°/dB at 12 GHz. These results demonstrate the feasibility of the proposed design for low-loss, scalable, and reconfigurable antenna arrays in Ku-band and beyond satellite systems.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"71 ","pages":"Article 102201"},"PeriodicalIF":5.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221095","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":"Preference-based deep reinforcement learning with automatic curriculum learning for map-free UGV navigation in factory-like environments","authors":"Shunyu Tian ,&nbsp;Changyun Wei ,&nbsp;Shaojie Jian ,&nbsp;Ze Ji","doi":"10.1016/j.jestch.2025.102147","DOIUrl":"10.1016/j.jestch.2025.102147","url":null,"abstract":"<div><div>Autonomous navigation for unmanned ground vehicles in smart factory environments involves satisfying multiple, often conflicting objectives such as safety, efficiency, and motion smoothness. Traditional reinforcement learning approaches typically rely on fixed, manually weighted reward functions to encode these objectives. However, such static formulations struggle to generalize across varying user preferences and dynamic operational contexts common in real-world factory scenarios. Consequently, they require retraining for every new preference configuration, leading to inefficiency and limited practical deployment. To address this challenge, we propose a novel preference-based reinforcement learning framework that enables a single policy to dynamically adapt its behavior according to a user-defined preference vector that encodes trade-offs among multiple objectives. This allows the agent to modify its navigation strategy on-the-fly without additional retraining. To further improve training efficiency and learning stability, we incorporate automatic curriculum learning, which gradually increases the complexity of training tasks based on the agent’s performance, accelerating convergence and robustness. We validate our method in a simulated smart factory environment that reflects realistic navigation constraints. Experimental results demonstrate that our proposed approach ensures faster convergence during training and achieves up to a 93% navigation success rate in challenging factory-like environments compared to recent advances.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102147"},"PeriodicalIF":5.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831332","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":"QSAC: Quantum-assisted Secure Audio Communication using quantum entanglement, audio steganography, and classical encryption","authors":"Md. Raisul Islam Rifat ,&nbsp;Md. Mizanur Rahman ,&nbsp;Md. Abdul Kader Nayon ,&nbsp;Md Shawmoon Azad ,&nbsp;M.R.C. Mahdy","doi":"10.1016/j.jestch.2025.102167","DOIUrl":"10.1016/j.jestch.2025.102167","url":null,"abstract":"<div><div>The emergence of quantum computing poses a significant security threat to the current classical cryptography system since it has the potential to outperform the current classical computer in some specific tasks due to its unique principle of operation. This necessitates finding a method that is resistant to quantum computers to securely transfer information. This research addresses these challenges by proposing a novel method combining quantum key distribution (QKD), specifically the E91 protocol, with the classical encryption-authentication protocol ChaCha20-Poly1305, and concealing information within another message through steganography to securely transfer audio messages. A shared secret key is created between the communicating parties using E91 QKD, which exploits the stellar protection of quantum entanglement against eavesdropping. The shared key is hashed through the SHA–3 hash function to generate a fixed-length, high-entropy symmetric key. The audio message is hidden inside another audio signal through steganography. The steganographic signal is encrypted using ChaCha20-Poly1305 AEAD in order to provide another layer of obfuscation as well as a means to verify integrity. Through rigorous experiments, we validated the robustness of the proposed methodology in both classical and quantum attacks. The processing of secret audio signals of varying duration (00:01:32 to 00:01:36) exhibits consistent encryption results. The encrypted stego audios show high randomness, with an average entropy of 15.9984, an average correlation of <span><math><mrow><mn>1</mn><mo>.</mo><mn>4627</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>5</mn></mrow></msup></mrow></math></span>, an average UACI of 49.9977%, and an average NSCR of 99.9985%. We demonstrated the safety of the shared key using the CHSH inequality test, where in the presence of an eavesdropper, the CHSH value is much less than <span><math><mrow><mn>2</mn><msqrt><mrow><mn>2</mn></mrow></msqrt></mrow></math></span>. In addition, the integrity of the secret audio is also validated through the verification of the authenticator tag generated during the encryption process. Our research offers a novel framework for secure audio transmission, combining classical encryption and authentication methods with QKD to enhance confidentiality, integrity, and resilience against eavesdropping and tampering, ensuring robust end-to-end security.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102167"},"PeriodicalIF":5.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886129","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":"Neural network-based adaptive super-twisting sliding mode control for hybrid magnetic levitation system with external disturbance","authors":"Menglei Zhang ,&nbsp;Liwei Zhang ,&nbsp;Lu Shen","doi":"10.1016/j.jestch.2025.102177","DOIUrl":"10.1016/j.jestch.2025.102177","url":null,"abstract":"<div><div>Hybrid magnetic levitation system compared with pure electromagnetic levitation system, because of the introduction of permanent magnets, the hybrid levitation system is more sensitive to parameter uncertainty and external disturbance. The traditional control strategy is unable to meet the operational requirements of the hybrid levitation system. To solve this problem, an adaptive super-twisting sliding mode controller based on a neural network is designed to address unknown parameters and external disturbance. Firstly, this study analyses the impact of the introduction of permanent magnets on the controllability and safety of the system. An adaptive sliding mode controller is designed. To address the issue of model parameter uncertainty, a neural network is employed to fit the unknown quantities. Then, to further solve the chattering issue on the platform in the face of disturbances, an adaptive super-twisting controller was developed and designed based on the neural network controller. Finally, related experimental verification was carried out on a hybrid levitation experimental platform. The experimental results indicate that the proposed control strategy is able to maintain stable levitation of the platform even under external disturbance and ensure the airgap tracking and levitation safety of the system.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102177"},"PeriodicalIF":5.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144916434","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":"Transformer differential protection with wavelet transform and difference function","authors":"Merve Oztekin ,&nbsp;Serap Karagol ,&nbsp;Okan Ozgonenel","doi":"10.1016/j.jestch.2025.102144","DOIUrl":"10.1016/j.jestch.2025.102144","url":null,"abstract":"<div><div>The Transformer Differential Protection (TDP) algorithm instantly compares the target transformer’s terminal currents for each phase. The differential current is not expected to appear during regular operation. However, nonlinear characteristics of the core material, such as the hysteresis curve, result in significant variation in the differential current, known as magnetizing inrush current. This inrush current lasts for a while before disappearing, causing significant variation in the differential current. TDP algorithm is supposed to remain silent during this transient time (selectivity). In addition, one of the most difficult tasks for protection systems is detecting inter-turn faults in their early stages. This fault type typically begins at low levels due to moisture, high temperature, and so on, and gradually spreads to other turns. It is vital to detect inter-turn faults before they expand more than 10% of total windings [RW-2-1]. This paper presents a transformer differential protection algorithm that distinguishes between inter-turn, low-level internal faults, and inrush current. Maximum Overlapped Discrete Wavelet Transform (MODWT) energy and difference function are used for feature extraction, and the traditional 87T TDP method has been updated. Performance is evaluated using data collected from a laboratory-based experimental rig. The results demonstrate that the suggested approach performs very well in a range of low-level, inter-turn fault, and transient scenarios, including internal fault, inrush current, and sympathetic inrush current. These results are confirmed by the identified indices for Accuracy (AC), Dependability (DP), and Selectivity (SE).</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102144"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712896","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 comprehensive review on YOLO versions for object detection","authors":"Ayşe Aybilge Murat ,&nbsp;Mustafa Servet Kiran","doi":"10.1016/j.jestch.2025.102161","DOIUrl":"10.1016/j.jestch.2025.102161","url":null,"abstract":"<div><div>The need for methods used for object detection has gained increasing momentum in recent years. Starting with traditional image processing techniques, this process has been facilitated by the addition of deep learning. Object detection is currently used in areas such as autonomous vehicles, disease diagnosis, robotic vision and industry. The types of systems that are predicted to be needed more and more in the age of developing technology are also increasing. In particular, YOLO (You Only Look Once), which is mostly preferred in real-time object detection, is preferred because it achieves high accuracy in a short time. This paper analyses the main versions of the YOLO algorithm since its first release. The paper systematically analyses the architectural differences between the versions of the YOLO algorithm, the strengths and weaknesses of the models and their contribution to performance. At the same time, in most of the previous studies on YOLO, a comprehensive comparison of the YOLOv9-v11 models is not presented and new architectural features are not evaluated. This review provides an in-depth analysis of the main versions from YOLOv1 to YOLOv11, including recent innovations such as NMS-free, Oriented Bounding Boxes (OBB), GELAN and PGI. This work is intended to be a useful guide for researchers and developers interested in the field.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102161"},"PeriodicalIF":5.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771218","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":"PV-integrated coordinated control for enhanced grid performance in next-gen EV charging systems","authors":"Umashankar Subramaniam ,&nbsp;S Saravanan ,&nbsp;K.R.M Vijayachandrakala ,&nbsp;Sivakumar Selvam","doi":"10.1016/j.jestch.2025.102176","DOIUrl":"10.1016/j.jestch.2025.102176","url":null,"abstract":"<div><div>This study aims to contribute to the United Nations’ Sustainable Development Goal (SDG) 7, which promotes affordable and clean energy by investigating the potential of solar photovoltaic systems (PVS) integration into EV charging infrastructure in evolving power networks for mutual benefits. The objective is to develop a coordinated control strategy for PVS-integrated EV charging stations that ensures seamless grid interaction with enhanced power quality. It focuses on modelling and coordinated control to achieve stable grid integration. Two distinct EV charging stations are considered in this work. Station 1 employs a conventional unidirectional power flow model, drawing power from the three-phase grid’s point of common coupling (PCC). The second station utilizes a PVS-based charging infrastructure connected to the PCC via a three-phase inverter. It facilitates power exchange with the distribution grid and charging stations, which addresses the reliability concerns of the PVS-based charging infrastructure. Coordinated control of the overall system is achieved through the dual Second-Order Generalized Integral (SOGI) based voltage and load current processing loops. This research ensures that the proposed dual SOGI-based controller maintains a unity power factor, reduces total harmonic distortion to below 3%, and eliminates the need for external filters meeting high grid power quality by ensuring power transfer between the grid and any charging stations. The PVS system mitigates harmonics and fulfills the reactive power demands of station 1 and local loads, obviating the necessity for separate filters and compensators. The developed control algorithm was tested on a hardware prototype under various loads and PV side conditions, demonstrating effective harmonics mitigation, reactive power compensation, and grid current balancing. The extensive hardware analysis conducted in steady state and dynamic operating modes confirms that the presented system improves voltage stability by over 20% and cuts network losses by more than 25%, establishing its effectiveness for next-generation sustainable EV infrastructure.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102176"},"PeriodicalIF":5.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896356","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":"Retrofitting of seismically deficient RC bridge pier using HSP concrete jacket and FRP rebars","authors":"Muhammad Waleed Ahmad,&nbsp;Muhammad Rizwan,&nbsp;Muhammad Fiaz Tahir","doi":"10.1016/j.jestch.2025.102146","DOIUrl":"10.1016/j.jestch.2025.102146","url":null,"abstract":"<div><div>Bridges in high seismic zones are prone to failure due to inadequate seismic design or cumulative damage from repeated earthquakes, compromising structural integrity and functionality This study investigates the effectiveness of retrofitting seismically deficient reinforced concrete (RC) bridge piers using high-performance strength concrete (HPSC) jackets and Fiber-reinforced polymer (FRP) rebars applied at the plastic hinge zone. Two 1:4 scaled RC pier specimens with different transverse reinforcement arrangements were tested under constant axial load and quasi-static cyclic lateral loading to induce damage. The damaged piers were then retrofitted and retested to assess seismic performance improvements. Key parameters such as load-carrying capacity, hysteresis behaviour, energy dissipation, and stiffness degradation were evaluated. The retrofitted specimens showed substantial restoration of strength and stiffness and exhibited enhanced energy dissipation compared to both the original and CFRP-wrapped specimens. Additionally, a finite element model was developed in SeismoStruct (2024), showing good agreement with experimental results and validating the proposed retrofitting approach. The study concludes that the HPSC-FRP retrofit method significantly enhances the seismic resilience of damaged bridge piers and presents a viable solution for extending the service life of aging bridge infrastructure.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102146"},"PeriodicalIF":5.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723025","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 multi-class skin lesion diagnosis through ensemble learning of CNN and transformer architectures","authors":"Hasan Erbay,&nbsp;Yassen Mohamed Abulgasim,&nbsp;Doğan Eren Özer,&nbsp;Fatih Ertürk","doi":"10.1016/j.jestch.2025.102145","DOIUrl":"10.1016/j.jestch.2025.102145","url":null,"abstract":"<div><div>Skin cancer remains one of the most prevalent forms of cancer worldwide, highlighting the critical need for accurate and automated diagnostic systems to support early detection and improve patient outcomes. This study presents a deep learning-based framework for multi-class classification of dermoscopic skin lesion images using the HAM10000 dataset. A range of state-of-the-art convolutional neural networks (CNNs) — including DenseNet201, InceptionResNetV2, and Xception — were evaluated under both frozen and fully fine-tuned configurations. Additionally, the performance of Vision Transformer (ViT) architectures was assessed to examine their potential in skin lesion analysis. To enhance classification performance, ensemble learning strategies — namely hard voting, soft voting, and weighted soft voting — were implemented. Experimental results indicate that fully fine-tuned models outperform their frozen counterparts, with InceptionResNetV2(full) achieving the best individual performance with accuracy of 0.88% and F1-score of 0.77%. The highest overall performance was obtained using the proposed weighted soft voting ensemble, yielding an accuracy of 0.89% and an F1-score of 0.80%. These findings demonstrate the effectiveness of ensemble methods and transfer learning based models in advancing automated skin lesion classification. Moreover, the results highlight the potential and limitations of each architecture in clinical applications and provide valuable insights for future research in computer-aided dermatological diagnosis.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"70 ","pages":"Article 102145"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713614","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}