Search

This article summarized the nursing of a patient with insomnia caused by liver depression and spleen deficiency syndrome treated with comprehensive auricular manipulation techniques. According to the nursing assessment and Traditional Chinese Medicine syndrome differentiation, comprehensive auricular manipulation techniques including auricular massage, ear tip bloodletting and auricular acupoint pressing therapy, combined with emotion regulation, were carried out relieve the negative emotion and improve the sleep quality of the patient. (本文总结1例耳穴综合操作技术治疗肝郁脾虚证失眠的护理体会。根据护理评估和中医辨证, 采取耳部按摩、耳部放血、耳穴贴压综合疗法, 并配合情志护理, 有效缓解患者负性情绪, 改善了患者睡眠质量。)

This article summarizes the nursing practice of a lung cancer patient with constipation after chemotherapy treated with Bian-stone ironing and rubbing therapy combined with Traditional Chinese Medicine penetration therapy. Through scientific nursing evaluation and syndrome differentiation, the patient's nursing plan was determined. Based on the basic theory of Traditional Chinese Medicine, the Bian-stone ironing and rubbing therapy combined with Traditional Chinese Medicine penetration therapy were used to relieve constipation. At the same time, nursing interventions such as defecation guidance, dietary regulation, exercise, and medication guidance were adopted to further improve clinical symptoms and achieve significant therapeutic effects on constipation. (本文总结1例砭石熨摩中药透入治疗肺癌患者化疗后便秘的护理经验。通过科学的护理评估和辨证分型, 确定患者护理方案, 基于中医基础理论, 采用砭石熨摩中药透入法和手指点穴缓解便秘, 同时配合排便指导、饮食调护、运动锻炼、用药指导等护理干预, 进一步改善患者临床症状, 减轻疼痛。)

Injection molding is a widely used method for production of plastic components, offering both simplicity and high strength. In this study, secondary injection molding was utilized to weld polyamide 6 (PA6). The welded samples were evaluated for the welding strength via a shear tensile test. Three process parameters of mold temperature, injection temperature, and injection speed were varied to determine the optimal conditions for welding. A polarizing microscope analysis of the welding interface revealed formation of a shish kebab layer (SKL) structure, which significantly contributed to the welding strength. A differential scanning calorimetry analysis of the welded samples showed that changes in the crystallinity at the interface were closely related to the welding strength under different injection molding conditions. To analyze the crystal phase of the interface after welding, we propose the use of Fourier-transform infrared spectroscopy area scanning to obtain the relationship between the phase transformation and welding strength. Additionally, microhardness testing is proposed as a means of evaluation of the welding effect. Overall, this study highlights the importance of optimization of process parameters in secondary injection molding to achieve strong welds in PA6, where the SKL structure and crystallinity changes at the interface have crucial roles. Highlights * The high welding shear strength reaches 80% of the base material. * The interfacial crystalline structure has a significant impact on the strength. * The crystalline changes were analyzed using FTIR region scanning. * The relationship between microhardness and welding strength was obtained. * The wide-ranging conditions have reference value for industrial production. KEYWORDS crystalline phase, Fourier-transform infrared, injection molding, interface, microhardness, polyamide 6, welding strength, 1 | INTRODUCTION Plastics have a significant economic value. Injection molding is used to process more than 33% of all plastics. (1) Thermoplastic resins may be effectively melted and joined [...]

This paper summarized the practice of appropriate technology and nursing of Traditional Chinese Medicine in a patient with diabetic peripheral neuropathy combined with lower limb pain. Based on the nursing risk assessment and syndrome differentiation, scraping therapy, Bian-stone hot ironing-massage and Chinese herbal medicine penetration, Chinese medicine foot bath were carried out to relieve the lower limb pain and anxiety of the patient. (本文总结1例中医护理适宜技术治疗糖尿病周围神经病变合并下肢疼痛的护理经验。基于护理评估结果以及辨证分型, 采取刮痧、砭石熨摩中药透入法以及中药足浴护理干预, 明显减轻患者下肢疼痛的症状, 缓解了焦虑情绪。)

Interferometric synthetic aperture radar (InSAR) technology plays a crucial role in monitoring surface deformation and has become widely used in volcanic and earthquake research. With the rapid advancement of satellite technology, InSAR now generates vast volumes of deformation data. Deep learning has revolutionized data analysis, offering exceptional capabilities for processing large datasets. Leveraging these advancements, automatic detection of volcanic and earthquake deformation from extensive InSAR datasets has emerged as a major research focus. In this paper, we first introduce several representative deep learning architectures commonly used in InSAR data analysis, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and Transformer networks. Each architecture offers unique advantages for addressing the challenges of InSAR data. We then systematically review recent progress in the automatic detection and identification of volcanic and earthquake deformation signals from InSAR images using deep learning techniques. This review highlights two key aspects: the design of network architectures and the methodologies for constructing datasets. Finally, we discuss the challenges in automatic detection and propose potential solutions. This study aims to provide a comprehensive overview of the current applications of deep learning for extracting InSAR deformation features, with a particular focus on earthquake and volcanic monitoring. [ABSTRACT FROM AUTHOR]

On 5 September 2022, the moment magnitude (Mw) 6.7 Luding earthquake struck in the Xianshuihe Fault system on the eastern edge of the Tibet Plateau, illuminating the seismic gap in the Moxi segment. The fault system geometry and rupture process of this earthquake are relatively complex. To better understand the underlying driving mechanisms, this study first uses the Interferometric Synthetic Aperture Radar (InSAR) technique to obtain static surface displacements, which are then combined with Global Positioning System (GPS) data to invert the coseismic slip distribution. A machine learning approach is applied to extract a high-quality aftershock catalog from the original seismic waveform data, enabling the analysis of the spatiotemporal characteristics of aftershock activity. The catalog is subsequently used for fault fitting to determine a reliable fault geometry. The coseismic slip is dominated by left-lateral strike-slip motion, distributed within a depth range of 0–15 km, with a maximum fault slip > 2 m. The relocated catalog contains 15,571 events. Aftershock activity is divided into four main seismic clusters, with two smaller clusters located to the north and south and four interval zones in between. The geometry of the five faults is fitted, revealing the complexity of the Xianshuihe Fault system. Additionally, the Luding earthquake did not fully rupture the Moxi segment. The unruptured areas to the north of the mainshock, as well as regions to the south near the Anninghe Fault, pose a potential seismic hazard. [ABSTRACT FROM AUTHOR]