International Journal of Communication Systems最新文献

{"title":"Improving Signal Coverage in Millimeter-Wave Massive MIMO via Efficient Predefined-Time Adaptive Neural Network–Based Beam Training","authors":"Balasubramani Ramesh,&nbsp;Jampani Chandra Sekhar,&nbsp;Thangam Marimuthu,&nbsp;Abdul Satar Shri Vindhya","doi":"10.1002/dac.70186","DOIUrl":"https://doi.org/10.1002/dac.70186","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper proposes an advanced deep learning framework for efficient beam training in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. To overcome the limitations of conventional beam training approaches such as high overhead, slow adaptation to dynamic environments, and poor scalability, an Improving Signal Coverage in Millimeter Wave Massive MIMO via Efficient Predefined Time Adaptive Neural Network based Beam Training (ISC-MMIMO-EPTANN-BT) model is proposed. The proposed model used deep neural network (DNN) to learn complicated nonlinearities in channel power leakage (CPL) and used an efficient predefined time adaptive neural network (EPTANN) to provide real-time responsiveness and temporal synchronism in beam training. The parameters of the model are also optimized using fire hawk optimization algorithm (FHOA) to get better convergence speed and signal coverage. The proposed technique is executed in MATLAB. The proposed approach attains better performance under successful rate by significantly less beam training overhead and also increases signal coverage based on simulation results. The proposed ISC-MMIMO-EPTANN-BT method attains 26.15%, 21.08%, and 33.75% higher successful rates and 16.32%, 28.94%, and 20.24% lower normalized mean square error compared with existing methods such as deep learning for beam training in millimeter wave massive MIMO schemes (BT-MMIMO-DNN), deep learning for combined feedback and channel prediction in large-scale MIMO systems (CNN-JCS-MMIMO), and triple-refined hybrid-field beam training in mmWave extremely large-scale MIMO (TR-FBT-MIMO), respectively. The ISC-MMIMO-EPTANN-BT technique reduced beam training overhead, enhanced signal coverage, and identified a promising candidate for successful beam training in mmWave massive MIMO schemes.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Taylor Flamingo Shark Optimization–Based Traffic Aware Content Caching Vehicular Social Networks","authors":"Vedha Vinodha D.,&nbsp;Malathy Subramanium","doi":"10.1002/dac.70188","DOIUrl":"https://doi.org/10.1002/dac.70188","url":null,"abstract":"<div>\u0000 \u0000 <p>Vehicular Social Networking (VSN) is an emerging and developing application of the Internet of Vehicles (IoV) that aims to integrate vehicular networks with social networks seamlessly. Nevertheless, unique vehicular network features, namely, high mobility as well as frequent communication interruptions, make content delivery to end users under strict delay constraints very problematic. The Taylor Flamingo Shark Optimization (TFSO) method is introduced to address the limitations of existing caching and routing strategies in VSN under real-time traffic conditions. With the amalgamation of FSA and WSO with the Taylor series, TFSO provides a powerful tool for accurate, delay-aware, and mobility-sensitive content caching, thereby improving content delivery efficiency in VSNs. The proposed optimization-based traffic-aware content caching is implemented using several stages. Initially, the shortest path with the vehicular content provider is found based on the proposed hybrid Flamingo Shark Optimization (FSO). The FSO is devised by using the Flamingo Search Algorithm (FSA) as well as White Shark Optimization (WSO). Subsequently, traffic-aware content recommendations are carried out based on conditional likelihood probability. Additionally, the vehicular distribution managed by the content provider is optimized across the network by using the proposed TFSO, which is devised using the proposed FSO along with the Taylor series concept. Moreover, the effectiveness of the developed TFSO approach is assessed by leveraging metrics including computational cost, delivery delay, and delivery rate. The computational cost recorded value is 1.057, which shows that the algorithm operates with low computational overhead; the delivery delay of TFSO is 0.611 s, which indicates that the system required less time to deliver content to end users in high-mobility scenarios; and the delivery rate is 85.996, which reflects the high success rate of content delivery across the network using 2000 rounds with 150 vehicles.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Analysis of Sunshine-Shaped MIMO Antenna for High Demand in Data Rates and Ultra-Fast Sixth-Generation Wireless Communications Through THz Spectrum Range","authors":"K. V. Vineetha,&nbsp;M. Siva Kumar,&nbsp;P. Durgaprasadarao,&nbsp;Satti Sudha Mohan Reddy,&nbsp;Kokku Aruna Kumari,&nbsp;Lokesh Raju Vysyaaraju,&nbsp;B. T. P. Madhav,&nbsp;Sk Hasane Ahammad,&nbsp;Mahmoud M. A. Eid,&nbsp;Ahmed Nabih Zaki Rashed","doi":"10.1002/dac.70196","DOIUrl":"https://doi.org/10.1002/dac.70196","url":null,"abstract":"<div>\u0000 \u0000 <p>THz antennas, which function at high speeds, frequencies, and data rates, were developed in response to the increased need for high-speed communication equipment. High data transfer is necessary for wireless communication in modern technologies. After 5G, the next generation of wireless technology is called 6G (sixth-generation wireless). Because 6G networks may run at greater frequencies than 5G networks, their capacity and latency will be significantly increased. Allowing communications with a latency of 1 μs is one of the objectives of the 6G internet. This paper introduces a compact and highly efficient sunshine-slotted MIMO antenna designed for 6G and wireless applications. The antenna features a sun-shaped patch and a partial ground layer to improve its overall performance. The proposed antenna operates across 3.6, 4.5, 5.2, and 6.2 THz, respectively, which are used for wireless communication systems. This work presents a MIMO antenna constructed with a low reflection coefficient value of −34, −38, −18, and −23 dB, with an insertion loss of less than −30 dB over the operational frequency. In addition to this, the antenna has a gain value of 8.5–9.2 dBi. The proposed MIMO antenna also has a minimum ECC value of &lt; 0.01; similarly, across the operating frequency, the antenna has a DG value range of 10–11 dB respectively. The proposed antenna has dimensions of 33 × 33 × 100 μm³ using graphene as a conducting layer and silicon as a substrate layer. The suggested antenna can be utilized for high-speed communications because of its high gain and operating frequency applicability.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Quantum-Crossover Gravitational Search Algorithm for Energy-Efficient Power Allocation in Serial Relaying Underwater Wireless Optical Communication Systems","authors":"Lilly Raamesh,&nbsp;S. Anitha,&nbsp;S. Radhika,&nbsp;A. Chandrasekar","doi":"10.1002/dac.70169","DOIUrl":"https://doi.org/10.1002/dac.70169","url":null,"abstract":"<div>\u0000 \u0000 <p>Underwater wireless optical communication systems face several challenges, such as path loss, poor signal quality, and limited communication range because of environmental constraints like scattering, turbidity, and attenuation. To address these challenges, this study proposes a serial relaying underwater wireless optical communication system enhanced by a hybrid optimization algorithm called quantum-based crossover gravitational search algorithm. This algorithm incorporates a gravitational search algorithm with a quantum crossover mechanism to optimize power allocation among relay nodes for increasing energy efficiency and reducing signal-to-noise ratio under various environmental constraints. This study adopts a gravitational search algorithm for resolving the power allocation problem that utilizes the concept of gravitational attraction among agents to explore the search space. However, it often suffers from slow convergence and local optima trapping. To resolve this, the proposed technique deploys a quantum crossover mechanism to refine this process by improving solution diversity and convergence speed. By combining the significance of these approaches, the proposed quantum-based crossover gravitational search algorithm effectively solves complex optimization issues and enhances energy efficiency by distributing power optimally and reducing excessive energy consumption. Simulation results demonstrate that Q-CROSS GSA outperforms existing optimization methods in terms of energy efficiency, signal-to-noise ratio, and outage probability, offering a robust approach for an efficient UWOC system in challenging underwater environments.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced Parasitic Microstrip Antenna Design for IoT and 5G Networks Using Attention-Enhanced Graph Convolutional Model","authors":"Veeramani Rajumani,&nbsp;Periasamy Pappampalayam Sanmugam,&nbsp;Anitha Periasmay","doi":"10.1002/dac.70192","DOIUrl":"https://doi.org/10.1002/dac.70192","url":null,"abstract":"<div>\u0000 \u0000 <p>The growing demand for high-speed, reliable wireless communication has accelerated advancements in antenna technology for 5G and IoT applications. However, existing antenna designs often face challenges such as limited bandwidth, inadequate gain, and poor impedance matching, which hinder their ability to meet the stringent performance requirements of modern networks. To address these limitations, this research presents a high-gain, wideband parasitic microstrip antenna designed for 5G and IoT applications, operating at 26 GHz within the 5G new radio Frequency Range 2 (FR2) band n258. The proposed antenna incorporates a miniaturized parasitic patch design featuring eight microstrip patches arranged around a centrally probe-fed active patch in a squared configuration. These parasitic patches are electromagnetically coupled via the magnetic and electric fields generated by the active patch, achieving a compact array with a total dimension of 24 × 24 mm². To enhance antenna performance, a Multi-Layer Attention Graph Convolutional Network (MLAGCN) is utilized to effectively extract key features from the input data, whereas the Gooseneck Barnacle Optimization (GBO) algorithm iteratively fine-tunes the design parameters. The antenna achieves a maximum gain of 12 dB and an efficiency exceeding 95% within the frequency range of 23–28 GHz. This integrated design and optimization approach facilitates cutting-edge performance in terms of bandwidth, gain, and reliability, meeting the rigorous demands of 5G/6G, IoT, and other next-generation services, as well as extending network coverage. This research proposes a compact parasitic microstrip antenna optimized for 5G/IoT using an MLAGCN and GBO. The MLAGCN captures interdependent antenna parameters, whereas GBO fine-tunes design variables for enhanced impedance matching and bandwidth. Results show significant improvement in return loss and wideband performance compared with conventional designs.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Lightweight Blockchain-Based Integrated Finite Element Neural Network for Secure Routing in Wireless Sensor Networks","authors":"Sumitra Nayak,&nbsp;Ganesh Kumar Mahato,&nbsp;Swarnendu Kumar Chakraborty","doi":"10.1002/dac.70184","DOIUrl":"https://doi.org/10.1002/dac.70184","url":null,"abstract":"<div>\u0000 \u0000 <p>Ensuring secure and energy-efficient routing in wireless sensor networks (WSNs) remains a critical challenge due to limited resources and susceptibility to attacks. This paper introduces a novel model, PBFT-IFENN—a lightweight blockchain-based Practical Byzantine Fault Tolerance system integrated with a Finite Element Neural Network designed to address these issues comprehensively. The model leverages the Duck Swarm Algorithm (DSA) for dynamic cluster head selection, whereas data aggregation is optimized through an Integrated Finite Element Neural Network (I-FENN), incorporating Physics-Informed Neural Networks (PINNs) for reducing redundancy. Security is ensured using a lightweight PBFT consensus, and efficient routing is maintained via the Musical Chairs Routing Protocol (MCRP). Performance was evaluated using the NS-3 simulator and compared against recent benchmark protocols including UDTP-RPR, GTGAN, DRPL_SDN, DA-TD3, and ILEACH. Results demonstrate that PBFT-IFENN achieves superior outcomes, with a packet delivery ratio (PDR) of 95%, energy consumption of 1.12 J for 100 nodes, and throughput of 750 Kbps. These results significantly outperform all referenced methods, showcasing enhanced data reliability, reduced latency, improved network longevity, and robust security. The suggested method offers a thorough and scalable solution for secure and efficient communication in modern WSN deployments.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144681172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy-Efficient Sleep Wake-Up Mechanism Based Routing Protocol Using Siamese Network and Optimized Fuzzy Interference System in Green IoT","authors":"Nitin B. Raut,&nbsp;S. Thangavelu","doi":"10.1002/dac.70193","DOIUrl":"https://doi.org/10.1002/dac.70193","url":null,"abstract":"<div>\u0000 \u0000 <p>The proliferation of multiple battery-powered sensors under the Internet of Things (IoT) requires the development of sustainable and energy-conscious protocols. However, various energy-efficient mechanisms are developed, but those mechanisms are not much accurate and they have energy loss, transmission collision, and threats to security due to increased data redundancy. To address these issues, the energy-efficient fuzzy-based sleep wake-up mechanism (EEFSWM) was created. Sensor nodes are randomly initialized at the beginning, and the clustering algorithm used is the evidential Gaussian mixture model (EGMM). The cluster head is selected by taking into account each node's energy and distance. To choose the ideal energy and distance, golden jackal optimization (GJO) is employed. The Siamese network is then used to determine whether or not neighbor nodes are perceiving the same data. It computes a similarity measure if it finds related data. The node moves into the sleep stage, while the other nodes go into the waking stage when the similarity measure value surpasses the threshold value. After that, the sleep cycle is computed with a few parameters using the fuzzy inference system (FIS). The node awakens after the update cycle has finished, then joins the clustering and cluster head selection process. This proposed approach attains 7.99-J average residual energy, 84% packet delivery ratio, 2.64% throughput value, and 1105-s network lifetime.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144681167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Lightweight Privacy Preserving Authentication Framework for Secure UAV Communication in IoD Networks","authors":"Sharon Jenifer Albert,&nbsp;K. Gunaseelan","doi":"10.1002/dac.70187","DOIUrl":"https://doi.org/10.1002/dac.70187","url":null,"abstract":"<div>\u0000 \u0000 <p>In modern Internet-of-Drone (IoD) environments, secure communication between unmanned aerial vehicles (UAVs) and user equipment is essential to protect data privacy and prevent unauthorized access. This paper presents a lightweight three-factor authentication scheme for UAVs using ElGamal-based elliptical curve cryptography (ECC-ElGamal) encryption and physical layer security (PLS). The scheme integrates the device's media access control (MAC) address, user ID, and password for enhanced authentication. Using the MAC address as a security parameter strengthens device-specific authentication and reduces the risk of impersonation and unauthorized access. To prevent replay attacks and ensure message freshness, timestamps are included in the authentication process. ECC-ElGamal encryption enables secure communication through session key generation and hash functions, optimizing security and efficiency. Additionally, the scheme employs PLS to protect against eavesdropping and provide location-based authentication. A novel secret key (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>K</mi>\u0000 <mi>PLS</mi>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {K}_{PLS} $$</annotation>\u0000 </semantics></math>) is generated using channel state information (CSI) and is used to encrypt the device's MAC address, ensuring privacy-preserving authentication. The proposed scheme is designed to minimize computational and communication costs, making it suitable for resource-constrained UAVs in real-time IoD environments. Security evaluations and comparative analysis show that the scheme effectively resists known attacks while maintaining robust protection and system efficiency.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144681173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Prediction of Multiport Antenna Design for UAV-Assisted IoT Networks Using Machine Learning Algorithms","authors":"Vikas Kumar Vaidya,&nbsp;Vineeta Saxena Nigam","doi":"10.1002/dac.70191","DOIUrl":"https://doi.org/10.1002/dac.70191","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper provides the layout and examination of a two-port alumina ceramic-built filtering antenna for UAV-assisted IoT networks. Important features of the designed antenna are (a) aperture in combination with printed line provides the filtering response, that is, −20-dBi gain outside and 5.5 dBi within the working regime; (b) suspended partial reflecting surface helps to tilt the radiation pattern by ±45°; (c) metallic strips placement over dielectric block improves the isolation to above 25 dB; and (d) machine learning (ML) approach helps to predict the |S₁₁|/|S₁₂| parameters of the designed antenna. Experimental testing helps to verify the simulated/predicted outcomes. With a separation value greater than 25 dB, the antenna's operating frequency range is 5.2–5.95 GHz. Stable MIMO parameters and filtering features, along with large antenna coverage, make the designed antenna suitable for dedicated short-range communications (DSRCs) applications (5.5 GHz) as per UAV-IoT standards.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-Way Relaying for Orbital Angular Momentum LOS Transmission","authors":"Oluwabukunmi Williams Oso,&nbsp;Narushan Pillay,&nbsp;Hongjun Xu","doi":"10.1002/dac.70194","DOIUrl":"https://doi.org/10.1002/dac.70194","url":null,"abstract":"<p>Wireless communications based on orbital angular momentum (OAM) is an important line-of-sight scheme for next generation limited range networks. In this paper, we first investigate low-complexity near-maximum-likelihood (near-ML) detectors, which are independent of amplitude and/or phase modulation constellation size for both OAM-based mode division multiplexing (OAM-MDM) and OAM-based index modulation (OAM-IM). Second, we investigate infrastructure-based two-way relaying (TWR) for these OAM-based schemes. A network of two source/destination nodes with a single relay node placed between these nodes and employing decode-and-forward is considered. The transmission interval is partitioned into two transmission phases. In the first phase, the two source nodes transmit message blocks to the relay node. On receiving these message blocks, the relay node decodes the message blocks and encodes them into a single message block via the use of network coding. In the second transmission phase, the relay node forwards the single message block to the destination nodes, where the intended message block is decoded via network coding. The theoretical average bit error probability (ABEP) for a message block at the destination is derived and analyzed for the proposed TWR schemes, with validation provided by comprehensive simulation results.</p>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 13","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dac.70194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}