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Herpes zoster, known as "snake sore", "waist sore" and "spider sore" in Traditional Chinese Medicine, seriously affects the quality of life and health status of patients. This paper reviews the application progress of Traditional Chinese Medicine and theory of syndrome differentiation in clinical nursing of herpes zoster in recent years, and provides reference for improvement of integrative treatment of herpes zoster. (带状疱疹属中医学“蛇缠疮”“缠腰火丹”“蜘蛛疮”范畴, 严重影响患者的生活质量及健康状态。本研究就以辨证施护理论为导向的护理模式在带状疱疹的应用现状进行综述, 旨在为进一步完善该病的中西医结合疗法提供参考。)

The classic representative work of Traditional Chinese Medicine, Huangdi Neijing, contains a profound connotation of Traditional Chinese medicine. It contributes to inspire the clinical thinking of Traditional Chinese medicine in the study of Huangdi Neijing, apply syndrome differentiation in conducting traditional Chinese medicine technology and nursing methods, and improve the quality of Traditional Chinese Medicine nursing. This paper briefly discussed the impact of Huangdi Neijing on Traditional Chinese Medicine nursing in modern time, and provided reference for development of Traditional Chinese Medicine nursing. (《黄帝内经》蕴育着深厚的中医内涵, 通过研读《黄帝内经》, 有助于启发中医临床思维, 辨证应用中医技术及护理方法, 提升中医护理质量。本文就《黄帝内经》对现代中医特色护理的影响进行简要阐述, 以期为现代中医护理学的发展提供更多理论依据。)

Nowadays, robots are widely applied in life as well as industrial production, medicine, rescue, learning, and entertainment. There are many kinds of robots using different modern technologies such as manipulators, movement, and biomimetic robots; each type is applied according to its own role. Robots are also applied in training, especially in STEM training implemented with mobile robots. In this paper, we proposed models to design mobile robot combined with Android OS Tablet with a user interaction screen, voice control model, and AIDL IPC interactive model for remote control. We research the mobile robot using RockChip AI Processor RK3399Pro, which focuses on understanding the structure and operating mechanism of the AI Processor that RockChip robot uses, along with researching Android with IPC AIDL architecture and Automatic Voice Recognition technology to control robot to turn left, turn right, move forward, backward, and stop the movement by voice with three languages: Korean, English, and Vietnamese. We experimented on 1850 recording audio files including 1013 female voices and 837 male voices with 'latest_short,' 'latest_long,' and 'command_and_search' models. The results obtained a fairly high average confidence of 95% for English and Vietnamese languages and 87% for Korean. From results of this study, it will serve as a foundation for the research and development of a system to support students in learning by interacting with mobile robots through voice with multi-language. STEM education in the form of gamification of the curriculum, especially for extensive research on training programs can be applied in mobile robots with more flexibility. [ABSTRACT FROM AUTHOR]

This paper summarized the nursing management for a patient with intertrochanteric fracture combined with pressure injuries in the left buttocks. Effective treatment plan was made based on the nursing evaluation of stage of pressure injuries. Wound dressing material and dressing change methods were carefully considered according to the different phases of wound healing. Targeted nursing interventions were carried out to improve the wound healing of the patient with pressure injuries. (本文总结1例股骨粗隆间骨折合并左臀部压力性损伤的护理经验。正确评估压力性损伤的等级, 给予有效的治疗措施, 并根据患者创面的变化, 选取适合的换药方式, 应用正确的创面敷料, 有针对性地进行护理干预, 有助于促进压力性损伤的愈合。)

Shiji Yaoyu contains a wealth of nursing ideas and has laid the foundation of Traditional Chinese Medicine nursing. This article discusses the modern nursing ideology of Shiji Yaoyu from four aspects, including psychological care, life care, disease observation, drug care and nurse competency, in order to enrich the modern nursing thought and promote Chinese medicine nursing culture excavation, inheritance and development. (《侍疾要语》蕴含了丰富的护理学思想, 对中医护理学发展具有重要意义。本文从情志护理、起居护理、病情观察、用药护理、护理人员素养等方面探析《侍疾要语》 的现代护理学思想, 以充实现代护理学思想, 助力中医护理文化的挖掘、传承和发扬。)

Nocturia is one of the common clinical symptoms of lower urinary tract, with a high incidence, which not only seriously affects patients’ sleep quality and quality of life, but also increases risk of complications due to frequent night awakenings. This article reported a patient with nocturia treated by auricular acupoint sticking and pressing therapy. Experience of auricular acupoint selection by syndrome differentiation, operation method and basic nursing measures were summarized. auricular acupoint sticking and pressing therapy is an easy-to-operate, safe and effective therapy for nocturia. (夜尿症不仅严重影响患者睡眠, 降低生活质量, 还可能导致一系列并发症的发生。本文总结1例耳穴贴压疗法治疗夜尿症患者的相关护理经验, 包括辨证选穴、耳穴贴压操作方法、基础护理等, 耳穴贴压疗法操作简单、安全环保, 不仅能有效缓解夜尿症症状, 且患者接受度较高。)

• Progressive weight ShallowNet for analysis of spontaneous facial emotions. • Limit the alternative path for the gradient at the earlier stage and increase gradually. • The network is able to explore more feature space and vulnerable to perturbations. COVID-19 has severely disrupted every aspect of society and left negative impact on our life. Resisting the temptation in engaging face-to-face social connection is not as easy as we imagine. Breaking ties within social circle makes us lonely and isolated, that in turns increase the likelihood of depression related disease and even can leads to death by increasing the chance of heart disease. Not only adults, children's are equally impacted where the contribution of emotional competence to social competence has long term implications. Early identification skill for facial behaviour emotions, deficits, and expression may help to prevent the low social functioning. Deficits in young children's ability to differentiate human emotions can leads to social functioning impairment. However, the existing work focus on adult emotions recognition mostly and ignores emotion recognition in children. By considering the working of pyramidal cells in the cerebral cortex, in this paper, we present progressive lightweight shallow learning for the classification by efficiently utilizing the skip-connection for spontaneous facial behaviour recognition in children. Unlike earlier deep neural networks, we limit the alternative path for the gradient at the earlier part of the network by increase gradually with the depth of the network. Progressive ShallowNet is not only able to explore more feature space but also resolve the over-fitting issue for smaller data, due to limiting the residual path locally, making the network vulnerable to perturbations. We have conducted extensive experiments on benchmark facial behaviour analysis in children that showed significant performance gain comparatively. [ABSTRACT FROM AUTHOR]

Internet of Medical Things (IoMT)-driven smart health and emotional care is revolutionizing the healthcare industry by embracing several technologies related to multimodal physiological data collection, communication, intelligent automation, and efficient manufacturing. The authentication and secure exchange of electronic health records (EHRs), comprising of patient data collected using wearable sensors and laboratory investigations, is of paramount importance. In this article, we present a novel high payload and reversible EHR embedding framework to secure the patient information successfully and authenticate the received content. The proposed approach is based on novel left data mapping (LDM), pixel repetition method (PRM), RC4 encryption, and checksum computation. The input image of size [Formula: see text] is upscaled by using PRM that guarantees reversibility with lesser computational complexity. The binary secret data are encrypted using the RC4 encryption algorithm and then the encrypted data are grouped into 3-bit chunks and converted into decimal equivalents. Before embedding, these decimal digits are encoded by LDM. To embed the shifted data, the cover image is divided into [Formula: see text] blocks and then in each block, two digits are embedded into the counter diagonal pixels. For tamper detection and localization, a checksum digit computed from the block is embedded into one of the main diagonal pixels. A fragile logo is embedded into the cover images in addition to EHR to facilitate early tamper detection. The average peak signal to noise ratio (PSNR) of the stego-images obtained is 41.95 dB for a very high embedding capacity of 2.25 bits per pixel. Furthermore, the embedding time is less than 0.2 s. Experimental results reveal that our approach outperforms many state-of-the-art techniques in terms of payload, imperceptibility, computational complexity, and capability to detect and localize tamper. All the attributes affirm that the proposed scheme is a potential candidate for providing better security and authentication solutions for IoMT-based smart health.