OBSERVATION OF REMOTE AND RECENT THERAPEUTIC EFFECTS OF ACUPOINT-THREAD EMBEDDING, WESTERN MEDICINE OR ALLIED THERAPY ON PERENNIAL ALLERGIC RHINITIS

Objective: The comparison of the remote and recent therapeutic effects on perennial allergic rhinitis was carried on among single application of acupoint-thread embedding, western medicine (certirizine+flixonase) and allied therapy. Method: Ninety cases were randomized into thread-embedding group, western medicine group and embedding+western medicine group (allied-therapy group), 30 cases in each one. In thread embedding group, Yingxiang (迎香 LI 20) and Feishu (肺俞 BL 13) were selected for thread embedding, once a week, totally 4 treatments were required. In western medicine group, certirizine tablet 10 mg in combination with flixonase sprayer was applied once per day, continuously for 30 days in treatment. In allied-therapy group, both of the above methods were adopted continuously for 30 days in treatment. The therapeutic effects were in statistics at the end of treatment and 1 year later. Results: At the end of treatment, in thread-embedding group, 21 cases were remarkably effective, 3 cases effective and 6 cases no effect. In western medicine group, 20 cases were remarkably effective, 3 cases effective and 7 cases no effect. In allied-therapy group, 23 cases were remarkably effective, 2 cases effective and 5 cases no effect. It was shown in statistics that there was no significant difference in therapeutic effects among three groups ( P>0.05 ). But one year after the end of treatment, it was indicated that in thread-embedding group, 3 cases were remarkably effective, 10 cases effective and 17 cases no effect; in western medicine group, 2 cases were remarkably effective, 9 cases effective and 19 cases no effect; in allied-therapy group, 7 cases were remarkably effective, 11 cases effective and 12 cases no effect. The significant difference in the therapeutic effects had not been presented in the comparison between thread-embedding group and western medicine group (P>0.05), but that had been presented between allied-therapy group with either of the groups with single therapy applied (P<0.05). Conclusion: Quite good recent therapeutic effect of either acupoint-thread embedding or western medicine (certirizine+flixonase) was achieved on perennial allergic rhinitis. The remote therapeutic effect of allied therapy was more advantageous than that of single application of either thread embedding or western medicine.

Effect of Chitosan Coating on the Properties of Poly(glycolic acid-lactic acid)Thread-Embedding Material

Poly( glycolic acid-lactic acid)( PGLA) threadembedding material was modified by chitosan coating which could improve the rigidity,hydrophilicity and moisture absorption of the material,and produced better stimulation effect. Thus,this kind of thread-embedding materials which can be buried into acupuncture points to produce a long-time stimulation is popular in the acupuncture and moxibustion therapies. The variation tendencies of diameter,weight, hydrophilicity, and flexibility of the samples under the change of chitosan coating concentration,coating time and coating times were studied respectively. The results showed that the hydrophilicity,weight,and rigidity after coating rose in a certain range with the increase of coating time,coating times and coating concentration. The coating time had little influence on the diameter of fiber.

Effect of Chitosan Coating on Properties of Polyactic Acid Thread-Embedding Material

Thread-embedding materials buried into acupuncture points to produce a long-time stimulation is a method which has been widely applied in the acupuncture and moxibustion therapies for diseases treating and they should have excellent properties of good biocompatibility,biodegradability and moderate rigidity.Polyactic acid(PLA) as the thread-embedding material had some shortcomings such as poor hydrophilicity and slowly biodegradable speed.In this paper,PLA thread-embedding material was modified by chitosan coating which could improve rigidity,hydrophilicity and moisture absorption and thus produce better stimulation effect.The variation tendency of diameter,mass,hydrophilicity,and initial modulus of the sample under the change of chitosan coating concentration,coating time and coating times were studied respectively.The results showed that the hydrophilicity,mass,and initial modulus after coating rose in a certain range when the coating time,coating times and coating concentration increased,while the changing of coating had little impact on fiber diameter.

Clinical study on the treatment of bronchiectasis in remission period by embedding thread combined with Jianpi Qushi Huayu plaster

Objective:To explore the clinical effect of embedding thread combined with Jianpi Qushi Huayu ointment in the treatment of bronchiectasis in remission period,and to observe the effect on the level of inflammatory cytokines.Methods:150 patients with bronchiectasis in remission period were divided into three groups(50 cases in each group),western medicine group(treated with salmeterol fluticasone and low dose erythromycin),combined group(treated with Jianpi Qushi Huayu plaster),observation group(treated with western medicine+Jianpi Qushi Huayu plaster+embedding thread),and the clinical treatment of the three groups were compared.Result:before and after treatment,the improvement of TCM syndrome score,the improvement of pulmonary ventilation index,the improvement of inflammatory cytokines,and the change of adverse reactions.Results:the treatment efficiency of the observation group and the combination group was significantly higher than that of the western medicine group P The peak level of expiratory flow velocity,the maximum expiratory flow,the forced expiratory volume in one second and the ratio of forced expiratory volume in one second to vital capacity in the observation group and the combined group were significantly better than those in the western medicine group and the pre-treatment level(P<0.05),and the improvement in the observation group was better than that in the combined group After treatment,the expression of IL-13,IL-10 and IL-4 in the combined group was significantly better than that in the western medicine group and before treatment(P<0.05),and the improvement in the observation group was better than that in the combined group;there was no significant difference in the incidence of adverse reactions among the three groups(P>0.05).Conclusion:catgut embedding combined with Jianpi Qushi Huayu ointment can significantly alleviate the related clinical symptoms and signs,effectively control the further aggravation of the disease,improve the lung function of patients,regulate the level of inflammatory cytokines to reduce the degree of inflammatory reaction,and do not significantly aggravate the adverse reactions of drugs.

基于RT-Thread的液压支架监控分站的设计

为提高煤矿生产的安全性和效率,降低生产成本,设计了基于嵌入式实时操作系统RT-Thread的液压支架监控分站。该分站通过CAN总线将综采工作面液压支架的工作数据上传到主站并接收主站下达的指令;此外,通过支架控制器可以实现对液压支架的远程控制。软件设计利用信号量和事件集进行线程间通信同步;同时采用多线程优先级抢占调度机制,实现任务的并发运行。实验证明,该分站具有精度高、可靠性强和实时响应等特点,达到工程实际应用需求。

A Linked List Encryption Scheme for Image Steganography without Embedding

Information steganography has received more and more attention from scholars nowadays,especially in the area of image steganography,which uses image content to transmit information and makes the existence of secret information undetectable.To enhance concealment and security,the Steganography without Embedding(SWE)method has proven effective in avoiding image distortion resulting from cover modification.In this paper,a novel encrypted communication scheme for image SWE is proposed.It reconstructs the image into a multi-linked list structure consisting of numerous nodes,where each pixel is transformed into a single node with data and pointer domains.By employing a special addressing algorithm,the optimal linked list corresponding to the secret information can be identified.The receiver can restore the secretmessage fromthe received image using only the list header position information.The scheme is based on the concept of coverless steganography,eliminating the need for any modifications to the cover image.It boasts high concealment and security,along with a complete message restoration rate,making it resistant to steganalysis.Furthermore,this paper proposes linked-list construction schemeswithin theproposedframework,which caneffectively resist a variety of attacks,includingnoise attacks and image compression,demonstrating a certain degree of robustness.To validate the proposed framework,practical tests and comparisons are conducted using multiple datasets.The results affirm the framework’s commendable performance in terms of message reduction rate,hidden writing capacity,and robustness against diverse attacks.

Enhancing visual security: An image encryption scheme based on parallel compressive sensing and edge detection embedding

A novel image encryption scheme based on parallel compressive sensing and edge detection embedding technology is proposed to improve visual security. Firstly, the plain image is sparsely represented using the discrete wavelet transform.Then, the coefficient matrix is scrambled and compressed to obtain a size-reduced image using the Fisher–Yates shuffle and parallel compressive sensing. Subsequently, to increase the security of the proposed algorithm, the compressed image is re-encrypted through permutation and diffusion to obtain a noise-like secret image. Finally, an adaptive embedding method based on edge detection for different carrier images is proposed to generate a visually meaningful cipher image. To improve the plaintext sensitivity of the algorithm, the counter mode is combined with the hash function to generate keys for chaotic systems. Additionally, an effective permutation method is designed to scramble the pixels of the compressed image in the re-encryption stage. The simulation results and analyses demonstrate that the proposed algorithm performs well in terms of visual security and decryption quality.

Identification of partial differential equations from noisy data with integrated knowledge discovery and embedding using evolutionary neural networks

Identification of underlying partial differential equations(PDEs)for complex systems remains a formidable challenge.In the present study,a robust PDE identification method is proposed,demonstrating the ability to extract accurate governing equations under noisy conditions without prior knowledge.Specifically,the proposed method combines gene expression programming,one type of evolutionary algorithm capable of generating unseen terms based solely on basic operators and functional terms,with symbolic regression neural networks.These networks are designed to represent explicit functional expressions and optimize them with data gradients.In particular,the specifically designed neural networks can be easily transformed to physical constraints for the training data,embedding the discovered PDEs to further optimize the metadata used for iterative PDE identification.The proposed method has been tested in four canonical PDE cases,validating its effectiveness without preliminary information and confirming its suitability for practical applications across various noise levels.

TCM-HIN2Vec:A strategy for uncovering biological basis of heart qi deficiency pattern based on network embedding and transcriptomic experiment

Objective:To elucidate the biological basis of the heart qi deficiency(HQD)pattern,an in-depth understanding of which is essential for improving clinical herbal therapy.Methods: We predicted and characterized HQD pattern genes using the new strategy,TCM-HIN2Vec,which involves heterogeneous network embedding and transcriptomic experiments.First,a heterogeneous network of traditional Chinese medicine(TCM)patterns was constructed using public databases.Next,we predicted HQD pattern genes using a heterogeneous network-embedding algorithm.We then analyzed the functional characteristics of HQD pattern genes using gene enrichment analysis and examined gene expression levels using RNA-seq.Finally,we identified TCM herbs that demonstrated enriched interactions with HQD pattern genes via herbal enrichment analysis.Results: Our TCM-HIN2Vec strategy revealed that candidate genes associated with HQD pattern were significantly enriched in energy metabolism,signal transduction pathways,and immune processes.Moreover,we found that these candidate genes were significantly differentially expressed in the transcriptional profile of mice model with heart failure with a qi deficiency pattern.Furthermore,herbal enrichment analysis identified TCM herbs that demonstrated enriched interactions with the top 10 candidate genes and could potentially serve as drug candidates for treating HQD.Conclusion: Our results suggested that TCM-HIN2Vec is capable of not only accurately identifying HQD pattern genes,but also deciphering the basis of HQD pattern.Furthermore our finding indicated that TCM-HIN2Vec may be further expanded to develop other patterns,leading to a new approach aimed at elucidating general TCM patterns and developing precision medicine.

Insider threat detection approach for tobacco industry based on heterogeneous graph embedding

In the tobacco industry,insider employee attack is a thorny problem that is difficult to detect.To solve this issue,this paper proposes an insider threat detection method based on heterogeneous graph embedding.First,the interrelationships between logs are fully considered,and log entries are converted into heterogeneous graphs based on these relationships.Second,the heterogeneous graph embedding is adopted and each log entry is represented as a low-dimensional feature vector.Then,normal logs and malicious logs are classified into different clusters by clustering algorithm to identify malicious logs.Finally,the effectiveness and superiority of the method is verified through experiments on the CERT dataset.The experimental results show that this method has better performance compared to some baseline methods.

A chaotic hierarchical encryption/watermark embedding scheme for multi-medical images based on row-column confusion and closed-loop bi-directional diffusion

Security during remote transmission has been an important concern for researchers in recent years.In this paper,a hierarchical encryption multi-image encryption scheme for people with different security levels is designed,and a multiimage encryption(MIE)algorithm with row and column confusion and closed-loop bi-directional diffusion is adopted in the paper.While ensuring secure communication of medical image information,people with different security levels have different levels of decryption keys,and differentiated visual effects can be obtained by using the strong sensitivity of chaotic keys.The highest security level can obtain decrypted images without watermarks,and at the same time,patient information and copyright attribution can be verified by obtaining watermark images.The experimental results show that the scheme is sufficiently secure as an MIE scheme with visualized differences and the encryption and decryption efficiency is significantly improved compared to other works.

Roller Screw and Threaded Chain Speed Reducer: An Experimental Evaluation

We are developing a speed reducer that can be considered a transformation of a worm gear reducer: the worm is replaced by an inverted roller screw, and the gear is replaced by a threaded chain drive. This configuration lessens wear, increases load capacity, and improves efficiency. The threaded chain consists of nut-shaped links. This paper presents the results of tests carried out on a prototype with a reduction ratio of 46.

Thin-Shell Wormholes Admitting Conformal Motions in Spacetimes of Embedding Class One

This paper discusses the feasibility of thin-shell wormholes in spacetimes of embedding class one admitting a one-parameter group of conformal motions. It is shown that the surface energy density σis positive, while the surface pressure is negative, resulting in , thereby signaling a violation of the null energy condition, a necessary condition for holding a wormhole open. For a Morris-Thorne wormhole, matter that violates the null energy condition is referred to as “exotic”. For the thin-shell wormholes in this paper, however, the violation has a physical explanation since it is a direct consequence of the embedding theory in conjunction with the assumption of conformal symmetry. These properties avoid the need to hypothesize the existence of the highly problematical exotic matter.

基于RT-Thread的可信软件栈的设计和实现

针对基于Linux和TCG软件栈(Trusted computing group Software Stack,TSS)的复杂性问题,提出一种轻量级的可信软件栈。分析了TSS的基本结构与TSS在嵌入式系统的局限,总结出基于嵌入式系统的可信软件栈设计需求,设计出软件栈命令调用的机制和软件栈的结构。此外,分析了TSS密钥管理缓存算法,在flash中定义一块密钥槽空间,方便密钥管理中直接访问,阐述密钥生成的逻辑过程,实现面向嵌入式系统的可信软件系统。经实验验证,该软件栈可以结合RT-Thread实时系统实现基本的可信计算功能。

基于RT-thread的精确时间同步系统设计

分布式智能采集终端需要一致的时间基准,用于多种数据和事件的时间标记。为满足智能采集终端对高精度时间同步的需求,选择IEEE 1588精确时间同步协议实现时间同步;设计基于纯国产32 bit双核微控制器HPM6750和以太网收发器RTL8211FS(I)-VS的精确时间同步系统,选用国产开源嵌入式实时操作系统RT-thread操作系统,实现在物理层获取时间戳来运行IEEE 1588协议;构建测试平台对该时间同步系统进行主从时钟同步精度测试。测试结果表明,设计在物理层获取时间戳时达到的时间同步精度在±250 ns以内,与在数据链路层获取时间戳时达到±10μs的时间同步精度相比较,有效提高了时间同步精度,可广泛应用于对时间同步精度有较高要求的智能采集终端。

基于 RT-Thread 的玉米对行收获控制系统 研发与测试

为提高玉米机械化收获效率,减轻驾驶员劳动强度,研发玉米收获对行控制系统。该系统包括玉米边界行感知模块和对行控制模块,采用激光雷达获取玉米行点云数据,提出基于STM32处理器和RT-Thread实时操作系统的点云数据快速分析处理方法,实现玉米行边界点的提取,通过边界点计算得到横向偏差;设计系统通信拓扑架构,实现感知、处理、对行控制模块之间的高效通信。对该系统的性能开展田间试验验证,结果表明:收割机与玉米行实际边界线的平均横向偏差为0.06 m,最大横向偏差为0.126 m,满足玉米对行收获作业要求,为玉米对行收获提供一定的参考。

基于RT-Thread的嵌入式识别系统设计与实现

提出了一种使用基于RT-Thread实时操作系统和STM32L431微控制器的嵌入式识别系统。使用VGA摄像头实时的采集被识别物体的图像信息,对采集后的图像信息进行图像预处理;然后使用MobileNetV3模型进行参数训练;最后,在嵌入式终端实现了对图像的推理识别。实验表明,对MobileNetV3模型的验证和在终端进行实物测试的结果性能指标高、响应时间快。

基于RT-Thread的温湿度数据采集监测系统设计

温湿度数据的采集和监测在各行各业中发挥着重要作用。本文基于RT-Thread设计了一个分布式温湿度采集监测系统。该系统以STM32开发板为主控模块,在芯片中嵌入RT-Thread实时操作系统,可实时采集分布式节点的温湿度数据,并通过无线网络将数据上传至OneNET云平台。该系统提高了数据采集的实时性,实现了温湿度数据的可视化显示和远程实时监测功能。

基于D1-H应用处理器的RT-Thread驻留方法

针对实时操作系统复杂性内核导致嵌入式应用程序编译速度慢、可复用性差的问题,提出基于通用嵌入式计算机架构(GEC)的RT-Thread实时操作系统驻留方法。在合理划分存储空间的基础上,通过对中断服务例程进行共享,为用户提供底层驱动与软件应用层的函数调用服务。最后以D1-H应用处理器为例进行RT-Thread驻留测试。实践结果表明,该驻留方法实现了系统内核与应用程序的物理隔离,编译时间更短,开发效率更高,为嵌入式程序开发的时效性、便捷性和简易性提供了应用基础。

Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview

Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests from both industrial and academic communities. With its rapid development, the cryptocurrency transaction network embedding(CTNE) has become a hot topic. It embeds transaction nodes into low-dimensional feature space while effectively maintaining a network structure,thereby discovering desired patterns demonstrating involved users' normal and abnormal behaviors. Based on a wide investigation into the state-of-the-art CTNE, this survey has made the following efforts: 1) categorizing recent progress of CTNE methods, 2) summarizing the publicly available cryptocurrency transaction network datasets, 3) evaluating several widely-adopted methods to show their performance in several typical evaluation protocols, and 4) discussing the future trends of CTNE. By doing so, it strives to provide a systematic and comprehensive overview of existing CTNE methods from static to dynamic perspectives,thereby promoting further research into this emerging and important field.