Objective To explore the mechanism of modified maimendong decoction (MMD) in inhibiting lung cancer metastasis from the perspective of immune regulation. Methods CTC-TJH-01 and LLC cells were intervened with different concentrations of modified maimendong decoction. The cell proliferation was detected with a CCK-8 kit, apoptosis was detected with an Annexin V-FITC/PI kit, and cell migration was detected through Transwell assays. A lung metastasis model was established through the tail vein injection of LLC cells into C57BL/6 mice, and body weight change and lung tumor metastasis in the mice were evaluated after continuous gavage intervention with MMD. HE staining, immunohistochemistry, and immunofluorescence were employed to observe the histomorphology, Ki-67 protein level, and NK and T cell levels of metastatic lesions. The levels of NK and T cells in the peripheral blood of mice were detected throughflow cytometry. Results MMD had no significant inhibitory effect on the proliferation, apoptosis, and migration of CTC-TJH-01 and LLC cells in vitro. In mice, MMD could significantly inhibit the lung metastasis of LLC cells, increase the proportion of NK and CD8⁺ T cells in peripheral blood and tumor microenvironment (P<0.05), and reduce the expression of Ki-67 protein in metastatic tumor tissues (P<0.05). Conclusion MMD may inhibit the growth of metastatic tumors by upregulating the expression levels of NK and CD8⁺ T cells in peripheral blood to promote the elimination of circulating tumor cells, and regulating the infiltration of NK and CD8⁺ T cells in the immune microenvironment of metastatic tumors, then play an antimetastatic role in lung cancer.

Hemiplegic migraine （HM） is a specific subtype of migraine with aura and is difficult to diagnose due to its low incidence rate and diverse clinical symptoms. This article reports a case of HM with hemiplegia as the initial presentation. This patient had a long course of disease and critical conditions and was comorbid with intractable epileptic seizures. A literature review is performed to improve the understanding of this disease among clinicians.
Stroke

Objective To assess the medical cost consciousness status among catheterization lab nurses in grade-Ⅲ general hospitals where the diagnosis-related group(DRG)payment method has been implemented,and to explore its influencing factors.Methods By using the general data questionnaire form,the medical cost consciousness scale of medical staff and the Chinese version of the safety attitude scale,a total of 251 nurses working in the interventional catheterization room from 39 grade-Ⅲ general hospitals(being member unit of China Cardiovascular Health Alliance and being distributed in 13 provinces and cities)were surveyed.Results The total score of medical cost consciousness in nurses working in interventional catheterization room was(49.11±6.80)points.A positive correlation existed between the medical cost consciousness of nurses working in interventional catheterization room and the patient safety attitudes(P＜0.01).Multivariate linear regression analysis showed that team collaboration,job satisfaction,stress perception,management mode of medical consumables,and cost-effectiveness training were the main factors influencing cost awareness.Conclusion The interventional catheterization room nurses have a good consciousness of medical costs,but their actual participation degree is insufficient.Under the regulation of DRG payment method the hospital administration and nursing care managers should take targeted measures to enhance the efficiency of catheter room cost management.

Forced oscillation technique (FOT) enables early diagnosis of chronic obstructive pulmonary disease (COPD) by quantifying the impedance of COPD patients during normal breathing and reflecting the airway obstruction and distribution of the patients. The flow sensors using in FOT for diagnosis of COPD mainly include differential pressure flow sensors, ultrasonic flow sensors, hot wire gas flow sensors, fiber-optic flow sensors and flow sensors based on friction nanoelectricity technology. In this review, the principles, characteristics, and current application status of these five types of flow sensors were summarized, and their future development prospects were prospected.

In recent years, a variety of innovative fast algorithm techniques have emerged in the field of transcranial magnetic stimulation (TMS) electric field solving, which show great potential to meet the requirements of real-time clinical applications. In this review, the crucial processes of TMS electric field modeling were summarized, focusing on two prominent fast algorithm techniques, namely the basis function method and the deep neural network (DNN)-based method. The advantages and limitations of these two techniques were analyzed in detail. Commonly used software tools for electric field modeling were discussed, and a prospective discussion of future developments was offered, aiming to provide a reference for the further development of TMS electric field modeling technology.

Transcranial ultrasound stimulation (TUS) is a non-invasive brain stimulation technique that demonstrates great potential in treatment of neurological disorders due to its high spatial resolution and focused penetration ability, enabling millimetre-level precision modulation of specific brain regions with ultrasound to achieve neuromodulation of targeted areas. At present, numerous animal experiments and human studies have been carried out on the regulation of Alzheimer′s disease by TUS. In this review, the regulation effects of TUS on Alzheimer′s disease were introduced from the perspective of targeting different brain regions, including the hippocampus, frontal lobe and whole brain.

Alzheimer′s disease (AD) is a degenerative disorder of the central nervous system. In the early stages of AD, i.e. when cognitive impairment is mild or absent but biomarkers are present, patients show abnormal neuroelectric activity. Repetitive transcranial magnetic stimulation (rTMS) is an important method of non-invasively regulating neuroelectric activity in the brain. It does so by inducing microcurrents to change the membrane potential of nerve cells in the brain based on electromagnetic induction. In this review, the characteristics of neuroelectric activity of AD patients and AD model mice in the early stage of AD were mainly introduced, and the regulation of rTMS on the neuroelectric activity of early AD was discussed.

Emotion is defined as a physiological and psychological state that encompasses human thoughts, behaviors, and feelings. This phenomenon is also regarded as a spontaneous physiological and psychological response generated by the human body to external stimuli. Given the established correlation between electroencephalogram signal and cerebral activity, it is possible to extrapolate the emotional state of subjects by means of electroencephalogram signal analysis. In this review, emotion models, datasets, and popular machine learning and deep learning methods in recent years used in emotion recognition research were summarized. In addition, the research progress of emotion recognition based on electroencephalogram signal was reviewed, with the aim of assisting subsequent researchers in understanding developments in electroencephalogram signal domain and offering insights for addressing clinical challenges in emotion recognition.

The prevalence of neurological diseases is increasing, and conventional clinical treatments frequently exhibit suboptimal efficacy and substantial adverse effects. Transcranial magnetic stimulation (TMS) has garnered significant interest due to its non-invasiveness and favorable tolerability. In this review, the etiology of neurological disorders was described, including Alzheimer's disease, stroke, epilepsy, Parkinson's disease and neuropathic pain. The application methods and therapeutic effects of TMS in these diseases were reviewed as well. While TMS demonstrates considerable promise in the treatment of neurological disorders, further large-scale studies and additional research on its mechanisms and personalized treatment protocols are necessary.

Objective To analyze the current status and influencing factors of occupational stress, job burnout and sleep quality among workers in the secondary industry in Jinshan District, Shanghai City. Methods A total of 1 418 workers from six key industries in Jinshan District, Shanghai City were selected as the study subjects by the stratified cluster sampling method. The Occupational Stress Core Scale, Maslash Burnout Inventory General Survey and Pittsburgh Sleep Quality Index were used to investigate occupational stress, job burnout and sleep quality of the workers. Results The detection rates of occupational stress, job burnout and sleep disturbance among the study subjects were 33.6%, 65.4% and 23.3%, respectively. Multivariate logistic regression analysis showed that the workers with a monthly income <5 000 yuan had a higher risk of occupational stress than those with a monthly income ≥5 000 yuan (P<0.01). The workers with ≥5.0 years of service had a higher risk than those with <1.0 year (P<0.05). Lack of physical exercise, employment in medium- and large-sized enterprises, and shift work were risk factors of occupational stress in the workers (all P<0.01). The workers aged 18-<30 years had a higher risk of job burnout than those aged 45-<60 years (P<0.05). The workers monthly income <5 000 yuan was associated with a higher risk of job burnout than those with ≥9 000 yuan (P<0.05). The workers with 1.0-<10.0 years or ≥15.0 years of service had higher job burnout risks than those with <1.0 year (all P<0.05). Being unmarried, lack of physical exercise, and employment in medium- and large-sized enterprises were risk factor of job burnout in the workers (all P<0.05). The workers with an educational level of high school or above had a higher risk of sleep disturbance than those with junior school or below (P<0.05). The workers who work >56 hours per week had a higher risk than those working ≤40 hours per week (P<0.01). Conclusion There is a high detection rate of occupational stress, job burnout, and sleep disturbance in the secondary industry workers in Jinshan District, Shanghai City. Special attention should be given to workers with low income, lack of physical exercise, employment in medium- and large-sized enterprises, shift work, long service duration, and long weekly working hours to protect their physical and mental health.