28,664 results on '"Zhang, Ning"'
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102. Formation and properties of a Zr-based amorphous coating by laser cladding
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Zhang, Ning, Liu, Ying, Yang, Wei, and Pang, Shu-Jie
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- 2024
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103. The effect of the motion attributes of spokes-characters on app launch pages on brand memory
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Zhang, Ning and Liya, Zhu
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- 2024
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104. Event-Driven Imaging in Turbid Media: A Confluence of Optoelectronics and Neuromorphic Computation
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Zhang, Ning, Shea, Timothy, and Nurmikko, Arto
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Computer Science - Neural and Evolutionary Computing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
In this paper a new optical-computational method is introduced to unveil images of targets whose visibility is severely obscured by light scattering in dense, turbid media. The targets of interest are taken to be dynamic in that their optical properties are time-varying whether stationary in space or moving. The scheme, to our knowledge the first of its kind, is human vision inspired whereby diffuse photons collected from the turbid medium are first transformed to spike trains by a dynamic vision sensor as in the retina, and image reconstruction is then performed by a neuromorphic computing approach mimicking the brain. We combine benchtop experimental data in both reflection (backscattering) and transmission geometries with support from physics-based simulations to develop a neuromorphic computational model and then apply this for image reconstruction of different MNIST characters and image sets by a dedicated deep spiking neural network algorithm. Image reconstruction is achieved under conditions of turbidity where an original image is unintelligible to the human eye or a digital video camera, yet clearly and quantifiable identifiable when using the new neuromorphic computational approach.
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- 2023
105. Deadline Aware Two-Timescale Resource Allocation for VR Video Streaming
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Feng, Qingxuan, Yang, Peng, Huang, Zhixuan, Chen, Jiayin, and Zhang, Ning
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Computer Science - Networking and Internet Architecture - Abstract
In this paper, we investigate resource allocation problem in the context of multiple virtual reality (VR) video flows sharing a certain link, considering specific deadline of each video frame and the impact of different frames on video quality. Firstly, we establish a queuing delay bound estimation model, enabling link node to proactively discard frames that will exceed the deadline. Secondly, we model the importance of different frames based on viewport feature of VR video and encoding method. Accordingly, the frames of each flow are sorted. Then we formulate a problem of minimizing long-term quality loss caused by frame dropping subject to per-flow quality guarantee and bandwidth constraints. Since the frequency of frame dropping and network fluctuation are not on the same time scale, we propose a two-timescale resource allocation scheme. On the long timescale, a queuing theory based resource allocation method is proposed to satisfy quality requirement, utilizing frame queuing delay bound to obtain minimum resource demand for each flow. On the short timescale, in order to quickly fine-tune allocation results to cope with the unstable network state, we propose a low-complexity heuristic algorithm, scheduling available resources based on the importance of frames in each flow. Extensive experimental results demonstrate that the proposed scheme can efficiently improve quality and fairness of VR video flows under various network conditions.
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- 2023
106. End-Edge Coordinated Joint Encoding and Neural Enhancement for Low-Light Video Analytics
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He, Yuanyi, Yang, Peng, Qin, Tian, and Zhang, Ning
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Computer Science - Multimedia - Abstract
In this paper, we investigate video analytics in low-light environments, and propose an end-edge coordinated system with joint video encoding and enhancement. It adaptively transmits low-light videos from cameras and performs enhancement and inference tasks at the edge. Firstly, according to our observations, both encoding and enhancement for low-light videos have a significant impact on inference accuracy, which directly influences bandwidth and computation overhead. Secondly, due to the limitation of built-in computation resources, cameras perform encoding and transmitting frames to the edge. The edge executes neural enhancement to process low contrast, detail loss, and color distortion on low-light videos before inference. Finally, an adaptive controller is designed at the edge to select quantization parameters and scales of neural enhancement networks, aiming to improve the inference accuracy and meet the latency requirements. Extensive real-world experiments demon-strate that, the proposed system can achieve a better trade-off between communication and computation resources and optimize the inference accuracy.
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- 2023
107. Edge-Assisted Lightweight Region-of-Interest Extraction and Transmission for Vehicle Perception
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Cheng, Yan, Yang, Peng, Zhang, Ning, and Hou, Jiawei
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Computer Science - Multimedia - Abstract
To enhance on-road environmental perception for autonomous driving, accurate and real-time analytics on high-resolution video frames generated from on-board cameras be-comes crucial. In this paper, we design a lightweight object location method based on class activation mapping (CAM) to rapidly capture the region of interest (RoI) boxes that contain driving safety related objects from on-board cameras, which can not only improve the inference accuracy of vision tasks, but also reduce the amount of transmitted data. Considering the limited on-board computation resources, the RoI boxes extracted from the raw image are offloaded to the edge for further processing. Considering both the dynamics of vehicle-to-edge communications and the limited edge resources, we propose an adaptive RoI box offloading algorithm to ensure prompt and accurate inference by adjusting the down-sampling rate of each box. Extensive experimental results on four high-resolution video streams demonstrate that our approach can effectively improve the overall accuracy by up to 16% and reduce the transmission demand by up to 49%, compared with other benchmarks.
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- 2023
108. Robust Computation Offloading and Trajectory Optimization for Multi-UAV-Assisted MEC: A Multi-Agent DRL Approach
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Li, Bin, Yang, Rongrong, Liu, Lei, Wang, Junyi, Zhang, Ning, and Dong, Mianxiong
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Electrical Engineering and Systems Science - Signal Processing - Abstract
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks. Specifically, we consider that the MEC network encompasses both communication and computation uncertainties, where the partial channel state information and the inaccurate estimation of task complexity are only available. We introduce a robust design accounting for these uncertainties and minimize the total weighted energy consumption by jointly optimizing UAV trajectory, task partition, as well as the computation and communication resource allocation in the multi-UAV scenario. The formulated problem is challenging to solve with the coupled optimization variables and the high uncertainties. To overcome this issue, we reformulate a multi-agent Markov decision process and propose a multi-agent proximal policy optimization with Beta distribution framework to achieve a flexible learning policy. Numerical results demonstrate the effectiveness and robustness of the proposed algorithm for the multi-UAV-assisted MEC network, which outperforms the representative benchmarks of the deep reinforcement learning and heuristic algorithms., Comment: 12 pages, 10 figures
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- 2023
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109. Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
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Zuo, Shiyuan, Fan, Rongfei, Hu, Han, Zhang, Ning, and Gong, Shimin
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Computer Science - Machine Learning ,Computer Science - Cryptography and Security ,Computer Science - Distributed, Parallel, and Cluster Computing - Abstract
In this paper, we propose a robust aggregation method for federated learning (FL) that can effectively tackle malicious Byzantine attacks. At each user, model parameter is firstly updated by multiple steps, which is adjustable over iterations, and then pushed to the aggregation center directly. This decreases the number of interactions between the aggregation center and users, allows each user to set training parameter in a flexible way, and reduces computation burden compared with existing works that need to combine multiple historical model parameters. At the aggregation center, geometric median is leveraged to combine the received model parameters from each user. Rigorous proof shows that zero optimality gap is achieved by our proposed method with linear convergence, as long as the fraction of Byzantine attackers is below half. Numerical results verify the effectiveness of our proposed method.
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- 2023
110. Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning
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An, Xuming, Fan, Rongfei, Zuo, Shiyuan, Hu, Han, Jiang, Hai, and Zhang, Ning
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Computer Science - Machine Learning - Abstract
Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, {which needs to aggregate the training model parameter of every mobile device at one base station (BS) iteratively}. For parameter aggregating in FL, over-the-air computation is a spectrum-efficient solution, which allows all mobile devices to transmit their parameter-mapped signals concurrently to a BS. Due to heterogeneous channel fading and noise, there exists difference between the BS's received signal and its desired signal, measured as the mean-squared error (MSE). To minimize the MSE, we propose to jointly optimize the signal amplification factors at the BS and the mobile devices as well as the data size (the number of data samples involved in local training) at every mobile device. The formulated problem is challenging to solve due to its non-convexity. To find the optimal solution, with some simplification on cost function and variable replacement, which still preserves equivalence, we transform the changed problem to be a bi-level problem equivalently. For the lower-level problem, optimal solution is found by enumerating every candidate solution from the Karush-Kuhn-Tucker (KKT) condition. For the upper-level problem, the optimal solution is found by exploring its piecewise convexity. Numerical results show that our proposed method can greatly reduce the MSE and can help to improve the training performance of FL compared with benchmark methods.
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- 2023
111. Symbol-level Integrated Sensing and Communication enabled Multiple Base Stations Cooperative Sensing
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Wei, Zhiqing, Xu, Ruizhong, Feng, Zhiyong, Wu, Huici, Zhang, Ning, Jiang, Wangjun, and Yang, Xiaoyu
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Electrical Engineering and Systems Science - Signal Processing - Abstract
With the support of integrated sensing and communication (ISAC) technology, mobile communication system will integrate the function of wireless sensing, thereby facilitating new intelligent applications such as smart city and intelligent transportation. Due to the limited sensing accuracy and sensing range of single base station (BS), multi-BS cooperative sensing can be applied to realize high-accurate, long-range and continuous sensing, exploiting the specific advantages of large-scale networked mobile communication system. This paper proposes a cooperative sensing method suitable to mobile communication systems, which applies symbol-level sensing information fusion to estimate the location and velocity of target. With the demodulation symbols obtained from the echo signals of multiple BSs, the phase features contained in the demodulation symbols are used in the fusion procedure, which realizes cooperative sensing with the synchronization level of mobile communication system. Compared with the signal-level fusion in the area of distributed aperture coherence-synthetic radars, the requirement of synchronization is much lower. When signal-to-noise ratio (SNR) is -5 dB, it is evaluated that symbol-level multi-BS cooperative sensing effectively improves the accuracy of distance and velocity estimation of target. Compared with single-BS sensing, the accuracy of distance and velocity estimation is improved by 40% and 72%, respectively. Compared with data-level multi-BS cooperative sensing based on maximum likelihood (ML) estimation, the accuracy of location and velocity estimation is improved by 12% and 63%, respectively. This work may provide a guideline for the design of multi-BS cooperative sensing system to exploit the widely deployed networked mobile communication system., Comment: 15 pages, 17 figures, 2 tables
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- 2023
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112. SOiCISCF: Combining SOiCI and iCISCF for Variational Treatment of Spin-orbit Coupling
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Guo, Yang, Zhang, Ning, and Liu, Wenjian
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Physics - Chemical Physics - Abstract
It has recently been shown that the SOiCI approach [J. Phys.: Condens. Matter 34 (2022) 224007], in conjunction with the spin-separated exact two-component relativistic Hamiltonian, can provide very accurate fine structures of systems containing heavy elements by treating electron correlation and spin-orbit coupling (SOC) on an equal footing. Nonetheless, orbital relaxations/polarizations induced by SOC are not yet fully accounted for, due to the use of scalar relativistic orbitals. This issue can be resolved by further optimizing the still real-valued orbitals self-consistently in the presence of SOC, as done in the spin-orbit coupled CASSCF approach [J. Chem. Phys. 138 (2013) 104113] but with the iCISCF algorithm [J. Chem. Theory Comput. 17 (2021) 7545] for large active spaces. The resulting SOiCISCF employs both double group and time reversal symmetries for computational efficiency and assignment of target states. The fine structures of $p$-block elements are taken as showcases to reveal the efficacy of SOiCISCF., Comment: 51 pages, 6 figures
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- 2023
113. A Multi-Factor Homomorphic Encryption based Method for Authenticated Access to IoT Devices
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AlJanah, Salem, Zhang, Ning, and Tay, Siok Wah
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Computer Science - Cryptography and Security - Abstract
Authentication is the first defence mechanism in many electronic systems, including Internet of Things (IoT) applications, as it is essential for other security services such as intrusion detection. As existing authentication solutions proposed for IoT environments do not provide multi-level authentication assurance, particularly for device-to-device authentication scenarios, we recently proposed the M2I (Multi-Factor Multi-Level and Interaction based Authentication) framework to facilitate multi-factor authentication of devices in device-to-device and device-to-multiDevice interactions. In this paper, we extend the framework to address group authentication. Two Many-to-One (M2O) protocols are proposed, the Hybrid Group Authentication and Key Acquisition (HGAKA) protocol and the Hybrid Group Access (HGA) protocol. The protocols use a combination of symmetric and asymmetric cryptographic primitives to facilitate multifactor group authentication. The informal analysis and formal security verification show that the protocols satisfy the desirable security requirements and are secure against authentication attacks.
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- 2023
114. Enhanced Population on Ionic Excited States by Synchronized Ionization and Multiphoton Resonance
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Chen, Yewei, Lei, Hongbin, Wang, Quanjun, Xie, Hongqiang, Zhang, He, Lu, Xu, Zhang, Ning, Huang, Shunlin, Wu, Yuzhu, Liu, Jianpeng, Zhang, Qian, Liu, Yi, Zhao, Zengxiu, Zhao, Jing, and Yao, Jinping
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Physics - Atomic Physics ,Physics - Optics - Abstract
We study population distributions and lasing actions of N_2^+ driven by femtosecond lasers with various wavelengths, and uncover an efficient ionic excitation mechanism induced by synchronized ionization and multiphoton resonance. Our results show that the strongest N_2^+ lasing appears around 1000 nm pump wavelength. At the optimal wavelength, the pump-energy threshold for air lasing generation is reduced by five folds compared with that required by the previous 800 nm pump laser. Simulations based on the ionization-coupling model indicate that although the Stark-assisted three-photon resonance can be satisfied within a broad pump wavelength range, the optimal pump wavelength arises when the dynamic three-photon resonance temporally synchronizes with the ionization injection. In this case, the ionic dipoles created at each half optical cycle have the same phase. The dipole phase locking promotes the continuous population transfer from ionic ground state to the excited state, giving rise to a dramatic increase of excited-state population. This work provides new insight on the photoexcitation mechanism of ions in strong laser fields, and opens up a route for optimizing ionic radiations.
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- 2023
115. Line Spectrum Estimation and Detection with Few-bit ADCs: Theoretical Analysis and Generalized NOMP Algorithm
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Zhu, Jiang, Zhang, Hansheng, Zhang, Ning, Fang, Jun, and Qu, Fengzhong
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Electrical Engineering and Systems Science - Signal Processing - Abstract
As radar systems will be equipped with thousands of antenna elements and wide bandwidth, the associated costs and power consumption become exceedingly high, and a potential solution is to adopt low-resolution quantization technology, which not only reduces data storage needs but also lowers power and hardware costs. This paper focuses on line spectral estimation and detection (LSE\&D) with few-bit ADCs (typically 1-4 bits) by investigating the signal-to-noise ratio (SNR) loss, establishing a framework to understand the impact of intersinusoidal interference, the bit-depth of the quantizer, and the noise variance on weak signal detection in scenarios involving multiple sinusoids under low-resolution quantization. Additionally, a low-complexity, super-resolution, and constant false alarm rate (CFAR) algorithm, named generalized Newtonized orthogonal matching pursuit (GNOMP), is proposed. Extensive numerical simulations are conducted to validate the theoretical findings, particularly in terms of the detection probability bound. The effectiveness of GNOMP is demonstrated through comparisons with state-of-the-art algorithms, the Cram\'{e}r Rao bound, and the detection probability bound. Real data acquired by mmWave radar further substantiates the effectiveness of GNOMP in practical applications.
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- 2023
116. Construction and performance test of charged particle detector array for MATE
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Li, Xiao-Bin, Ru, Long-Hui, Zhang, Zhi-Chao, Lv, Bing-Feng, Zhang, Ning-Tao, Zhang, Jin-Long, Lu, Chen-Gui, Gao, Bing-Shui, Ma, Jun-Bing, Shi, Fu-Shuai, Terashima, Satoru, Xu, Xiao-Dong, Bai, Zhen, Xu, Shi-Wei, Yang, Yan-Yun, Ong, Hooi-Jin, and Tang, Xiao-Dong
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- 2024
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117. Trim21-mediated CCT2 ubiquitination suppresses malignant progression and promotes CD4+T cell activation in breast cancer
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Chen, Xi, Ma, Chenao, Li, Yaming, Liang, Yiran, Chen, Tong, Han, Dianwen, Luo, Dan, Zhang, Ning, Zhao, Wenjing, Wang, Lijuan, Chen, Bing, Guo, Hong, and Yang, Qifeng
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- 2024
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118. Progress of gastric cancer organoids in basic research and clinical application
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LIU Baoqing, HUANG Rong, LU Yan, LI Kai, ZHANG Ning, LIU Changzheng, SONG Wei
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gastric cancer ,clinical treatment ,organoid ,tumor microenvironment ,Medicine - Abstract
Gastric cancer ranks fifth in global cancer mortality, which is highly aggressive and heterogeneous. However, the research and treatment of gastric cancer is hindered by short of research models that may characterize the developmental properties of gastric cancer. Gastric cancer organoid is a multicellular three-dimensional structure developed in vitro, which can mimic the structure and function of native gastric cancer. Gastric cancer organoids have great application potential and development prospects in establishing gastric cancer research models, mimicking the tumor microenvironment, high-throughput screening of drugs, discovering new therapeutic targets, predicting clinical therapeutic responses, and guiding individualized treatment. In this paper, the progress of gastric cancer organoids in basic research and clinical application is reviewed aiming for promoting the progress of preclinical research and supporting the clinical treatment of gastric cancer.
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- 2024
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119. Research Progress on Vascular Endothelial Function and Oxidative Stress in Patients with H-type Hypertension at High Altitudes
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ZHANG Ning, FAN Shiming
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hypertension ,h-type hypertension ,hyperhomocysteinemia ,vascular endothelial cells ,Medicine - Abstract
The low-pressure and low-oxygen environment at high altitude causes a series of changes in the metabolic level in the human body. The high altitude environment increases the level of oxidative stress and homocysteine in the body, which damages vascular endothelial cells. Hyperhomocysteinemia exacerbates oxidative stress, further aggravates the damage to the vascular endothelium, and accelerates the occurrence and development of hypertension. The combination of antioxidant drugs on the basis of traditional antihypertensive drug treatment provides a new direction for the treatment of H-type hypertension in high-altitude areas. This article reviews the relationship between vascular endothelial function and oxidative stress in patients with H-type hypertension in high-altitude areas, and explores its pathogenesis and possible treatments.
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- 2024
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120. Idioms reflecting the interplay between cognition and emotion in cognitive behavioral therapy
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Xu Jingren, Yang Hua, Lin Chenchen, Liu Na, Ma Hui, Pei Tao, Hu Mingyu, and Zhang Ning
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cognitive behavioral therapy ,localization ,idioms ,cognition ,emotion ,Psychology ,BF1-990 ,Psychiatry ,RC435-571 - Abstract
BackgroundCognitive behavioral therapy (CBT) is a widely used and empirically supported psychotherapy method. In recent years, the localization of CBT related to culture has received increasing attention from Chinese scholars. However, there is still a lack of systematic research on the localization of CBT using idioms as materials.ObjectiveTo explore whether idioms reflect the mutual influence between the two core therapeutic elements of CBT (cognition and emotion) and to use them as CBT treatment tools among college students, so as to provide references for the localization of CBT.MethodsUsing the Xinhua Idiom Dictionary (second edition) published by the Commercial Press, a three-round manual screening method was used to select idioms that reflected the mutual influence between cognition and emotion in CBT. Based on the selected idioms, a survey questionnaire titled "survey on idiom understanding level" was developed. From August to October, 2022, stratified sampling was conducted among college students from different majors and universities, and 815 valid questionnaires were obtained through the Questionnaire Star platform. By analyzing the understanding of each idiom among college students, idioms that could be used as CBT treatment tools were identified.ResultsIn the Xinhua Idiom Dictionary (second edition), there were 13 idioms that reflected the influence of cognition on emotion and 5 idioms that reflected the influence of emotion on cognition. 12 idioms could be used as CBT treatment tools, including 8 idioms that reflected the influence of cognition on emotion and 4 idioms that reflected the influence of emotion on cognition.ConclusionThere may be idioms that reflect the mutual influence between the two core therapeutic elements of CBT (cognition and emotion) and these idioms can be attempted as a therapeutic tool for CBT among college students.
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- 2024
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121. A Regional Farming Pig Counting System Based on Improved Instance Segmentation Algorithm
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ZHANG Yanqi, ZHOU Shuo, ZHANG Ning, CHAI Xiujuan, and SUN Tan
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pig counting ,deep learning ,wechat mini program ,yolov8 ,instance segmentation ,Agriculture (General) ,S1-972 ,Technology (General) ,T1-995 - Abstract
ObjectiveCurrently, pig farming facilities mainly rely on manual counting for tracking slaughtered and stored pigs. This is not only time-consuming and labor-intensive, but also prone to counting errors due to pig movement and potential cheating. As breeding operations expand, the periodic live asset inventories put significant strain on human, material and financial resources. Although methods based on electronic ear tags can assist in pig counting, these ear tags are easy to break and fall off in group housing environments. Most of the existing methods for counting pigs based on computer vision require capturing images from a top-down perspective, necessitating the installation of cameras above each hogpen or even the use of drones, resulting in high installation and maintenance costs. To address the above challenges faced in the group pig counting task, a high-efficiency and low-cost pig counting method was proposed based on improved instance segmentation algorithm and WeChat public platform.MethodsFirstly, a smartphone was used to collect pig image data in the area from a human view perspective, and each pig's outline in the image was annotated to establish a pig count dataset. The training set contains 606 images and the test set contains 65 images. Secondly, an efficient global attention module was proposed by improving convolutional block attention module (CBAM). The efficient global attention module first performed a dimension permutation operation on the input feature map to obtain the interaction between its channels and spatial dimensions. The permuted features were aggregated using global average pooling (GAP). One-dimensional convolution replaced the fully connected operation in CBAM, eliminating dimensionality reduction and significantly reducing the model's parameter number. This module was integrated into the YOLOv8 single-stage instance segmentation network to build the pig counting model YOLOv8x-Ours. By adding an efficient global attention module into each C2f layer of the YOLOv8 backbone network, the dimensional dependencies and feature information in the image could be extracted more effectively, thereby achieving high-accuracy pig counting. Lastly, with a focus on user experience and outreach, a pig counting WeChat mini program was developed based on the WeChat public platform and Django Web framework. The counting model was deployed to count pigs using images captured by smartphones.Results and DiscussionsCompared with existing methods of Mask R-CNN, YOLACT(Real-time Instance Segmentation), PolarMask, SOLO and YOLOv5x, the proposed pig counting model YOLOv8x-Ours exhibited superior performance in terms of accuracy and stability. Notably, YOLOv8x-Ours achieved the highest accuracy in counting, with errors of less than 2 and 3 pigs on the test set. Specifically, 93.8% of the total test images had counting errors of less than 3 pigs. Compared with the two-stage instance segmentation algorithm Mask R-CNN and the YOLOv8x model that applies the CBAM attention mechanism, YOLOv8x-Ours showed performance improvements of 7.6% and 3%, respectively. And due to the single-stage design and anchor-free architecture of the YOLOv8 model, the processing speed of a single image was only 64 ms, 1/8 of Mask R-CNN. By embedding the model into the WeChat mini program platform, pig counting was conducted using smartphone images. In cases where the model incorrectly detected pigs, users were given the option to click on the erroneous location in the result image to adjust the statistical outcomes, thereby enhancing the accuracy of pig counting.ConclusionsThe feasibility of deep learning technology in the task of pig counting was demonstrated. The proposed method eliminates the need for installing hardware equipment in the breeding area of the pig farm, enabling pig counting to be carried out effortlessly using just a smartphone. Users can promptly spot any errors in the counting results through image segmentation visualization and easily rectify any inaccuracies. This collaborative human-machine model not only reduces the need for extensive manpower but also guarantees the precision and user-friendliness of the counting outcomes.
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- 2024
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122. 主观性失眠与脑血管病慢性期功能预后的关系研究:基于多中心前瞻性研究的事后分 The Relationship between Subjective Insomnia and Functional Prognosis in the Chronic Phase of Cerebrovascular Disease: A Post-Hoc Analysis Based on a Multicenter Prospective Study
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李丽君,张宁,陈琦,王春(LI Lijun, ZHANG Ning, CHEN Qi, WANG Chunxue)
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脑血管病 ,功能残疾 ,主观性失眠 ,药物治疗 ,cerebrovascular disease ,neurological disability ,subjective insomnia ,drug treatment ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
目的 探索脑血管病患者主观性失眠与慢性期功能预后的关系。 方法 本研究是对多中心、大型前瞻性研究——中国卒中后抑郁发生及其结局的前瞻性队列研究(prospective cohort study on the incidence and outcome of patients with post-stroke depression in China,PRIOD)的事后分析。选取PRIOD中入组患者人数较多的15个中心,对入组的脑血管病患者进行发病5年后的电话随访。收集患者的一般资料、临床特点。根据《精神障碍诊断与统计手册》(第五版)中失眠的诊断标准编制调查问卷,收集失眠及相关睡眠问题,评估患者是否存在主观性失眠以及睡眠时间。采用mRS评估患者的功能预后。采用多因素logistic回归分析脑血管病患者主观性失眠与功能预后的关系。 结果 本研究共纳入698例患者,其中319例(45.70%)为主观性失眠患者,仅17.55%(56/319)服用助眠药物。logistic回归分析显示,主观性失眠与脑血管病患者功能预后存在显著关联:校正协变量后,与无失眠患者相比,主观性失眠患者功能残疾风险较高(OR 1.64,95%CI 1.11~2.42,P=0.013);亚组分析显示,在基线为首次脑血管病发作患者中,与无失眠患者相比,主观性失眠患者功能残疾的风险较高(OR 1.74,95%CI 1.13~2.68,P=0.013)。 结论 主观性失眠是导致脑血管病慢性期功能残疾的危险因素。 Abstract: Objective To explore the relationship between subjective insomnia and functional prognosis in the chronic phase of patients with cerebrovascular disease. Methods This study is a post-hoc analysis of the multicenter, large-scale prospective study— prospective cohort study on the incidence and outcome of patients with post-stroke depression in China (PRIOD). Fifteen centers with a high number of patients enrolled in the PRIOD were selected, and the patients were followed up by telephone 5 years after the onset of cerebrovascular disease. General information and clinical characteristics were collected. According to the diagnostic criteria of insomnia in the Diagnostic & Statistical Manual of Mental Disorders (Fifth Edition), a questionnaire was compiled to collect data on insomnia and related sleep issues, and to assess the presence of subjective insomnia and sleep duration. The functional prognosis was evaluated by mRS. Multivariate logistic regression was used to analyze the relationship between subjective insomnia and functional prognosis in cerebrovascular disease patients. Results A total of 698 patients were included, of which 319 (45.70%) had subjective insomnia. Only 17.55%(56/319) were taking sleep aids. Logistic regression analysis revealed a significant association between subjective insomnia and functional prognosis in cerebrovascular disease patients: after adjusting for covariates, subjective insomnia patients had a higher risk of functional disability compared to those without insomnia (OR 1.64, 95%CI 1.11-2.42, P=0.013). Subgroup analysis showed that among patients experiencing their first cerebrovascular event at baseline, those with subjective insomnia had a higher risk of functional disability compared to those without insomnia (OR 1.74, 95%CI 1.13-2.68, P=0.013). Conclusions Subjective insomnia is a risk factor for functional disability in the chronic phase of patients with cerebrovascular disease.
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- 2024
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123. Compatible Access of Multi-source Citizen Cards in Suzhou Urban Rail Transit Ticketing System
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FU Baoming, LIANG Jun, ZHANG Ning, and CHEN Ying
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suzhou urban rail transit ,ticketing system ,citizen card ,compatible access ,Transportation engineering ,TA1001-1280 - Abstract
Objective To address the compatible access issue of other types of citizen card and ticket in ticketing system during urban rail transit operation, a unified planning on the compatible access of citizen cards within Suzhou pan-urban area is required to form a comprehensive solution for the compatible access. Method Based on the current citizen card accessibility situation in Suzhou urban rail transit ticketing system, the access service of Suzhou citizen cards is sorted, and the requirements and work content of citizen cards compatible access are analyzed. The implementation difficulties and reasonable solution ideas for citizen card accessibility are analyzed from aspects including preferential policies, technical standards, ticket card structure, and three compatible access solutions are proposed based on transaction settlement methods: indirect access, direct access, and mixed access. Solutions are compared and selected regarding economy, security, and convenience, and suggestions for the specific implementation of compatible access is proposed from two aspects of standards formulation and parameterization configuration. Result & Conclusion The research and solution comparison results show that the citizen card compatible access in ticketing system involves many difficulties, requiring coordination and resolution by multiple parties; the mixed access solution takes into account both the renovation workload and the rights and interests of each accessing party, displaying strong flexibility and better applicability; developing compatible access standards for citizen cards can effectively reduce the difficulties and cost of access.
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- 2024
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124. Correction to: A Transcriptome Analysis of Neural Tissue of Litopenaeus vannamei After Acute Exposure to Alexandrium pacificum
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Yang, Huijie, Huang, Xianghu, Ma, Yukun, Hu, Zhangxi, Zhang, Ning, Li, Changling, and Zhang, Yulei
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- 2024
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125. Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI
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Zuo, Qiankun, Zhu, Yanfei, Lu, Libin, Yang, Zhi, Li, Yuhui, and Zhang, Ning
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Quantitative Biology - Neurons and Cognition - Abstract
Brain network analysis is a useful approach to studying human brain disorders because it can distinguish patients from healthy people by detecting abnormal connections. Due to the complementary information from multiple modal neuroimages, multimodal fusion technology has a lot of potential for improving prediction performance. However, effective fusion of multimodal medical images to achieve complementarity is still a challenging problem. In this paper, a novel hierarchical structural-functional connectivity fusing (HSCF) model is proposed to construct brain structural-functional connectivity matrices and predict abnormal brain connections based on functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI). Specifically, the prior knowledge is incorporated into the separators for disentangling each modality of information by the graph convolutional networks (GCN). And a disentangled cosine distance loss is devised to ensure the disentanglement's effectiveness. Moreover, the hierarchical representation fusion module is designed to effectively maximize the combination of relevant and effective features between modalities, which makes the generated structural-functional connectivity more robust and discriminative in the cognitive disease analysis. Results from a wide range of tests performed on the public Alzheimer's Disease Neuroimaging Initiative (ADNI) database show that the proposed model performs better than competing approaches in terms of classification evaluation. In general, the proposed HSCF model is a promising model for generating brain structural-functional connectivities and identifying abnormal brain connections as cognitive disease progresses., Comment: 4 figures
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- 2023
126. Throughput of Hybrid UAV Networks with Scale-Free Topology
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Wei, Zhiqing, Wang, Ziyu, Meng, Zeyang, Zhang, Ning, Wu, Huici, and Feng, Zhiyong
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Computer Science - Information Theory ,94A99 ,H.1.1 - Abstract
Unmanned Aerial Vehicles (UAVs) hold great potential to support a wide range of applications due to the high maneuverability and flexibility. Compared with single UAV, UAV swarm carries out tasks efficiently in harsh environment, where the network resilience is of vital importance to UAV swarm. The network topology has a fundamental impact on the resilience of UAV network. It is discovered that scale-free network topology, as a topology that exists widely in nature, has the ability to enhance the network resilience. Besides, increasing network throughput can enhance the efficiency of information interaction, improving the network resilience. Facing these facts, this paper studies the throughput of UAV Network with scale-free topology. Introducing the hybrid network structure combining both ad hoc transmission mode and cellular transmission mode into UAV Network, the throughput of UAV Network is improved compared with that of pure ad hoc UAV network. Furthermore, this work also investigates the optimal setting of the hop threshold for the selection of ad hoc or cellular transmission mode. It is discovered that the optimal hop threshold is related with the number of UAVs and the parameters of scale-free topology. This paper may motivate the application of hybrid network structure into UAV Network., Comment: 15 pages, 7 figures
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- 2023
127. Spectrum Sharing between High Altitude Platform Network and Terrestrial Network: Modeling and Performance Analysis
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Wei, Zhiqing, Wang, Lin, Gao, Zhan, Wu, Huici, Zhang, Ning, Han, Kaifeng, and Feng, Zhiyong
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Computer Science - Information Theory ,Computer Science - Robotics - Abstract
Achieving seamless global coverage is one of the ultimate goals of space-air-ground integrated network, as a part of which High Altitude Platform (HAP) network can provide wide-area coverage. However, deploying a large number of HAPs will lead to severe congestion of existing frequency bands. Spectrum sharing improves spectrum utilization. The coverage performance improvement and interference caused by spectrum sharing need to be investigated. To this end, this paper analyzes the performance of spectrum sharing between HAP network and terrestrial network. We firstly generalize the Poisson Point Process (PPP) to curves, surfaces and manifolds to model the distribution of terrestrial Base Stations (BSs) and HAPs. Then, the closed-form expressions for coverage probability of HAP network and terrestrial network are derived based on differential geometry and stochastic geometry. We verify the accuracy of closed-form expressions by Monte Carlo simulation. The results show that HAP network has less interference to terrestrial network. Low height and suitable deployment density can improve the coverage probability and transmission capacity of HAP network.
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- 2023
128. Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks
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Zhang, Songge, Wu, Wen, Hu, Penghui, Li, Shaofeng, and Zhang, Ning
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Computer Science - Distributed, Parallel, and Cluster Computing - Abstract
In this paper, we propose a novel distributed learning scheme, named group-based split federated learning (GSFL), to speed up artificial intelligence (AI) model training. Specifically, the GSFL operates in a split-then-federated manner, which consists of three steps: 1) Model distribution, in which the access point (AP) splits the AI models and distributes the client-side models to clients; 2) Model training, in which each client executes forward propagation and transmit the smashed data to the edge server. The edge server executes forward and backward propagation and then returns the gradient to the clients for updating local client-side models; and 3) Model aggregation, in which edge servers aggregate the server-side and client-side models. Simulation results show that the GSFL outperforms vanilla split learning and federated learning schemes in terms of overall training latency while achieving satisfactory accuracy.
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- 2023
129. Spatiotemporal vortex strings of light
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Huang, Shunlin, Zhang, Ning, Lu, Xu, Liu, Jun, and Yao, Jinping
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Physics - Optics - Abstract
Light carrying orbital angular momentum (OAM) holds unique properties and boosts myriad applications in diverse fields from micro- to macro-world. Endeavors have been made to manipulate the OAM in order to generate on-demand structured light and to explore novel properties of light. However, the generation of an ultrafast wave packet carrying numerous vortices with various OAM modes, that is vortex string, has been rarely explored and remains a significant challenge. Moreover, methods that enable parallel detection of all vortices in a vortex string are lacking. Here, we demonstrate that a vortex string with 28 spatiotemporal optical vortices (STOVs) can be successfully generated in an ultrafast wave packet. All STOVs in the string can be randomly or orderly arranged. The diffraction rules of STOV strings are also revealed theoretically and experimentally. Following these rules, the topological charges and positions of all STOVs in a vortex string can be easily recognized. The strategy for parallel generation and detection of STOV strings will open up exciting perspectives in STOV-based optical communications and also promote promising applications of the structured light in light-matter interaction, quantum information processing, etc.
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- 2023
130. ChargeX: Exploring State Switching Attack on Electric Vehicle Charging Systems
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Zhou, Ce, Yan, Qiben, Yu, Zhiyuan, Dixit, Eshan, Zhang, Ning, Zeng, Huacheng, and Ghanhdari, Alireza Safdari
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Computer Science - Cryptography and Security ,Computer Science - Hardware Architecture - Abstract
Electric Vehicle (EV) has become one of the promising solutions to the ever-evolving environmental and energy crisis. The key to the wide adoption of EVs is a pervasive charging infrastructure, composed of both private/home chargers and public/commercial charging stations. The security of EV charging, however, has not been thoroughly investigated. This paper investigates the communication mechanisms between the chargers and EVs, and exposes the lack of protection on the authenticity in the SAE J1772 charging control protocol. To showcase our discoveries, we propose a new class of attacks, ChargeX, which aims to manipulate the charging states or charging rates of EV chargers with the goal of disrupting the charging schedules, causing a denial of service (DoS), or degrading the battery performance. ChargeX inserts a hardware attack circuit to strategically modify the charging control signals. We design and implement multiple attack systems, and evaluate the attacks on a public charging station and two home chargers using a simulated vehicle load in the lab environment. Extensive experiments on different types of chargers demonstrate the effectiveness and generalization of ChargeX. Specifically, we demonstrate that ChargeX can force the switching of an EV's charging state from ``stand by" to ``charging", even when the vehicle is not in the charging state. We further validate the attacks on a Tesla Model 3 vehicle to demonstrate the disruptive impacts of ChargeX. If deployed, ChargeX may significantly demolish people's trust in the EV charging infrastructure., Comment: 13 pages, 13 figures
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- 2023
131. Answer to the Letter to the Editor of Y.-G. Bao, et al. concerning “Causal associations between gut microbiota with intervertebral disk degeneration, low back pain, and sciatica: a Mendelian randomization study” by Fang M, et al. (Eur Spine J [2024]; doi: 10.1007/s00586-024-08131-x)
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Fang, Miaojie and Zhang, Ning
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- 2024
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132. A Multifaceted Equity Metric System for Transportation Electrification
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Tsukiji, Takahiro, Zhang, Ning, Jiang, Qinhua, He, Brian Yueshuai, and Ma, Jiaqi
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Electric vehicle ,electric vehicle supply equipment ,equity evaluation ,transportation electrification - Abstract
Transportation electrification offers societal benefits like reduced emissions and decreased dependence on fossil fuels. Understanding the deployment of electric vehicles (EVs) and electric vehicle supply equipment (EVSE) has been a popular focus, however, achieving their equitable distribution in the transportation system remains a challenge for successful electrification. To address this issue, this paper proposes a multi-dimensional equity metric system that assesses the equity status in the impacts of EV and EVSE deployment across different socio-demographic groups. Four types of equity are considered in the equity metric system: a fair share of resources and external costs that are grouped into horizontal equity, as well as inclusivity and affordability that refer to vertical equity. This paper performs a case study to examine equity concerns regarding the adoption of EVs and EVSE in Los Angeles County in 2035 by leveraging the proposed equity metric system. The results reveal disparities in the adoption of EVs and public chargers, as well as variations in EV trips and economic status across different socio-demographic groups. These disparities underscore the urgency to address equity issues during electrification. Building upon the results, this study puts forth recommendations to tackle these equity challenges to provide valuable insights for local agencies.
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- 2023
133. Disparities in Antifibrotic Medication Utilization Among Veterans With Idiopathic Pulmonary Fibrosis
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Kaul, Bhavika, Lee, Joyce S, Petersen, Laura A, McCulloch, Charles, Rosas, Ivan O, Bandi, Venkata D, Zhang, Ning, DeDent, Alison M, Collard, Harold R, and Whooley, Mary A
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Biomedical and Clinical Sciences ,Clinical Sciences ,Respiratory ,Humans ,Female ,Aged ,United States ,Veterans ,Medicare ,Idiopathic Pulmonary Fibrosis ,Pyridones ,antifibrotics ,disparities ,idiopathic pulmonary fibrosis ,interstitial lung disease ,veterans ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundTwo antifibrotic medications, pirfenidone and nintedanib, are approved for the treatment of idiopathic pulmonary fibrosis (IPF). Little is known about their real-world adoption.Research questionWhat are the real-world antifibrotic utilization rates and factors associated with uptake among a national cohort of veterans with IPF?Study design and methodsThis study identified veterans with IPF who received care either provided by the Veterans Affairs (VA) Healthcare System or non-VA care paid for by the VA. Patients who had filled at least one antifibrotic prescription through the VA pharmacy or Medicare Part D between October 15, 2014, and December 31, 2019, were identified. Hierarchical logistic regression models were used to examine factors associated with antifibrotic uptake, accounting for comorbidities, facility clustering, and follow-up time. Fine-Gray models were used to evaluate antifibrotic use by demographic factors, accounting for the competing risk of death.ResultsAmong 14,792 veterans with IPF, 17% received antifibrotics. There were significant disparities in adoption, with lower uptake associated with female sex (adjusted OR, 0.41; 95% CI, 0.27-0.63; P < .001), Black race (adjusted OR, 0.60; 95% CI, 0.49-0.73; P < .001), and rural residence (adjusted OR, 0.88; 95% CI, 0.80-0.97; P = .012). Veterans who received their index diagnosis of IPF outside the VA were less likely to receive antifibrotic therapy (adjusted OR, 0.15; 95% CI, 0.10-0.22; P < .001).InterpretationThis study is the first to evaluate the real-world adoption of antifibrotic medications among veterans with IPF. Overall uptake was low, and there were significant disparities in use. Interventions to address these issues deserve further investigation.
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- 2023
134. The Usage of Smoking Cessation Related Behavior Change Techniques by Medical Staff in Smoking Cessation Clinics in China and Its Relationship with the Success Rate of Smoking Cessation
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HONG Qiumian, LIAO Yanhui, JING Xiaojuan, ZHANG Ning
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smoking cessation clinics ,behavior change techniques ,usage frequency ,perceived effect ,success rate of smoking cessation ,hierarchical linear regression ,interaction effects ,Medicine - Abstract
Background Smoking cessation related behavior change techniques (BCTs) are defined as interventions that can change smokers' smoking behavior. At present, there are no studies to explore the current status of BCTs usage among outpatient healthcare workers for smoking cessation in China. Objective The current study aims to describe the frequency and perceived effect of medical staff using BCTs in smoking cessation clinics, and to investigate the association between the usage of BCTs by medical staff and successful quitting rate among smokers in smoking cessation clinics. Methods From February 2022 to March 2023, online questionnaire was distributed to medical staff in smoking cessation clinics in China through "WJX" to evaluate the frequency and perceived effect of 44 smoking cessation BCTs used, the success rate of smoking cessation, as well as the demographic characteristics such as age and gender. The hierarchical linear regression model and simple slope analysis were utilized to explore the factors affecting the success rate of quitting in smoking cessation clinics and to examine the interaction between frequency and perceived effect of BCTs used for promoting smoking cessation. Results Two-hundred and eighty-five healthcare professionals who had experience in smoking cessation clinics over one year were included in this study. On average, it is reported that healthcare professionals have used (29±13) smoking cessation related BCTs. The perceived average score for effectiveness of BCTs used was (3.15±0.96). The self-reported average success rate of smoking cessation was (37.0±24.3) %. There were statistically significant differences in the number of BCTs used and the perceived effect of medical staff with different highest education level and whether tracking smoking cessation rate of smokers (P0.05). When the interaction item of BCTs used × effect perception was further included, the explanatory of the model for the success rate of smoking cessation in the smoking cessation clinic increased by 2.2%, and the perceived effect of BCTs [b (95%CI) =11.711 (8.548-14.874), P
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- 2024
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135. Semantic and Visual Attention-Driven Multi-LSTM Network for Automated Clinical Report Generation
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Huang, Cheng, Shen, Junhao, Hu, Beichen, Ausaf Ali Haqqani, Mohammad, Lee, Tsengdar, Kooner, Karanjit, Zhang, Ning, Zhang, Jia, Kacprzyk, Janusz, Series Editor, Shaban-Nejad, Arash, editor, Michalowski, Martin, editor, and Bianco, Simone, editor
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- 2024
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136. The Application of Realistic 3D in Passenger Cableway Route Selection and Planning
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Zhao, Jianwei, Zhang, Song, Zhang, Ning, Liu, Ziteng, Liang, Shuang, Lv, Haitao, Fournier-Viger, Philippe, Series Editor, Yao, Tang, editor, Chen, Shouchang, editor, Zhang, Zelin, editor, and Yan, Yingchen, editor
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- 2024
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137. Intelligent Adaptive Control Method for Ducted Fan Unmanned Aircraft
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Zhang, Ning, Wang, Chao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, and Fu, Song, editor
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- 2024
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138. Application of Virtual Reality Technology and Immersive Experiential Learning Mode in Vascular Surgery Nursing Practice Teaching
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Zhang, Ning, Xue, Qian, Zhang, Xinyi, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Zhang, Yinjun, editor, and Shah, Nazir, editor
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- 2024
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139. Application of Virtual Simulation Technology in Experimental Teaching of Emergency Nursing
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Xue, Qian, Zhang, Ning, Sun, Xun, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Zhang, Yinjun, editor, and Shah, Nazir, editor
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- 2024
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140. Application of Random Simulation Algorithm in Physical Education and Training
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Zhang, Xin-yi, Zhang, Ning, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Zhang, Yinjun, editor, and Shah, Nazir, editor
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- 2024
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141. Nonlinear Dynamic Characteristics Analysis of Diaphragm Coupling Rotor System with Crack Fault
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Nong, Su, Chen, Weifang, Zhang, Ning, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Rui, Xiaoting, editor, and Liu, Caishan, editor
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- 2024
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142. Nonlinear Aerodynamic Modeling and Analysis on Body of Fixed Canard Dual-Spin Projectiles
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Zhao, Xinxin, Shi, Jinguang, Wang, Zhongyuan, Zhang, Ning, Wang, Cheng, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Rui, Xiaoting, editor, and Liu, Caishan, editor
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- 2024
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143. A Proposed Framework of Virtual Reality System Design for Neuroscience Education in Mental Health
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Xin, Yuanyuan, Wang, Ruyang, Liang, Yi, Lu, Qianru, Zhang, Ning, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Deshpande, R.D., Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Streitz, Norbert A., editor, and Konomi, Shin'ichi, editor
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- 2024
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144. Policy Research in the Metaverse Technologies Enabled Publishing Industry in China (2016–2023)
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Liu, Xinze, Liu, Haobing, Kong, Qiongpei, Zhang, Ning, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Deshpande, R.D., Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Streitz, Norbert A., editor, and Konomi, Shin'ichi, editor
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- 2024
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145. Research on the Fusion Model of Floating Bus Speed and Taxi Speed for Arrival Time Prediction
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Lang, Ying, Wang, Xiao-Guang, Qie, Jin-Hui, Han, Hai-Hua, Zhang, Ning, Li, Si-Yang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Wang, Wuhong, editor, Jin, Lisheng, editor, and Tan, Haiqiu, editor
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- 2024
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146. The Influence of Western Detective Fiction on the Formation of Modern Chinese Detective Fiction : Take The Sherlock Holmes Mysteries and The Hawthorne Mysteries for examples
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Zhang, Ning, Zheng, Guxiuli, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Chen, Youbin, editor, Shen, Chaoqun, editor, and Rak, Joanna, editor
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- 2024
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147. Dynamic Behavior of Suspended Bubbles in Insulating Oil Correlation with Flow Field Distribution
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Zhang, Ning, Hao, Jian, Liu, Shili, Zhang, Junyi, Chen, Houhe, Liao, Ruijin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Dong, Xuzhu, editor, and Cai, Li, editor
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- 2024
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148. How Does ‘Locality’ Matter in Enabling a Circular Built Environment?: A Focus on Space, Knowledge, and Cities
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Çidik, Mustafa Selçuk, Schiller, Georg, Zhang, Ning, Rizzo, Agatino, Tambovceva, Tatjana, Bajare, Diana, Hendawy, Mennatullah, Chen, Sheng-Hong, Series Editor, di Prisco, Marco, Series Editor, Vayas, Ioannis, Series Editor, Bragança, Luís, editor, Cvetkovska, Meri, editor, Askar, Rand, editor, and Ungureanu, Viorel, editor
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- 2024
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149. Learning Hierarchical Robot Skills Represented by Behavior Trees from Natural Language
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Wang, Kaiyi, Zhao, Yongjia, Dai, Shuling, Yang, Minghao, He, Yichen, Zhang, Ning, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sellami, Mohamed, editor, Vidal, Maria-Esther, editor, van Dongen, Boudewijn, editor, Gaaloul, Walid, editor, and Panetto, Hervé, editor
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- 2024
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150. Research on Post-Evaluation Method of Local Power Grid Enterprise Distribution Network Project Based on Whole Process Management
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Du, Ping, Wang, Yuchen, Zhang, Ning, Chang, Xia, Shang, Nan, Jin, Yuyang, Appolloni, Andrea, Series Editor, Caracciolo, Francesco, Series Editor, Ding, Zhuoqi, Series Editor, Gogas, Periklis, Series Editor, Huang, Gordon, Series Editor, Nartea, Gilbert, Series Editor, Ngo, Thanh, Series Editor, Striełkowski, Wadim, Series Editor, Zailani, Suhaiza Hanim Binti Dato Mohamad, editor, Yagapparaj, Kosga, editor, and Zakuan, Norhayati, editor
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- 2024
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