In order to accurately capture the respiratory muscle movement and extract the synchronization signals corresponding to the breathing phases, a comprehensive signal sensing system for sensing the movement of the respiratory muscle was developed with applying the thin-film varistor FSR402 IMS-C07A in this paper. The system integrated a sensor, a signal processing circuit, and an application program to collect, amplify and denoise electronic signals. Based on the respiratory muscle movement sensor and a STM32F107 development board, an experimental platform was designed to conduct experiments. The respiratory muscle movement data and respiratory airflow data were collected from 3 healthy adults for comparative analysis. In this paper, the results demonstrated that the method for determining respiratory phase based on the sensing the respiratory muscle movement exhibited strong real-time performance. Compared to traditional airflow-based respiratory phase detection, the proposed method showed a lead times ranging from 33 to 210 ms [(88.3 ± 47.9) ms] for expiration switched into inspiration and 17 to 222 ms [(92.9 ± 63.8) ms] for inspiration switched into expiration, respectively. When this system is applied to trigger the output of the ventilator, it will effectively improve the patient-ventilator synchrony and facilitate the ventilation treatment for patients with respiratory diseases.
Humans ; Respiratory Muscles/physiology* ; Signal Processing, Computer-Assisted ; Movement/physiology* ; Respiration ; Monitoring, Physiologic/methods* ; Adult

With the rapid advancement of vaccines, the research and application of vaccine adjuvants have garnered significant attention. Despite the development of numerous vaccine adjuvants, their applications in human vaccines remain limited due to either insufficient efficacy or severe side effects. Consequently, there is growing interest in developing bioactive compounds derived from traditional Chinese medicines (TCMs) as vaccine adjuvants, owing to their natural biocompatibility, diversity, and safety. Here, we systematically review the current application status and potential value of TCM-based bioactive compounds in vaccine adjuvants. Firstly, we elaborate on the types and characteristics of active ingredients, such as polysaccharides, saponins, flavonoids, acids, and alkaloids. The mechanisms by which these compounds function as vaccine adjuvants are then discussed, including their roles in enhancing humoral immunity, cellular immunity, and relieving the immune suppression in the microenvironment. Additionally, we summarize the current strategies for structural modification and platform optimization to adapt to different application scenarios. Finally, we offer insights into the future development directions for these potential adjuvants, highlighting research priorities, technical approaches, and application prospects. In conclusion, natural vaccine adjuvants derived from TCMs present broad application prospects and hold promise for future vaccine development.

Immunotherapy for cancer,as an emerging treatment modality,has made significant strides in recent years and has become a crucial therapeutic approach following surgery,radiotherapy,chemotherapy,and targeted therapy.In particular,the clinical utilization of immune checkpoint inhibitors(ICIs)has not only enhanced the survival rates of patients with refractory or recurrent tumors but has also significantly optimized the overall strategy for cancer treatment.However,as the population undergoing cancer immunotherapy continues to grow,this expansion not only yields clinical benefits but also precipitates a range of specific adverse reactions known as immune-related adverse events(irAEs).Pleural effusion is a common and severe complication in cancer patients,significantly affecting both their quality of life and treatment outcomes.Typically,tumor-related pleural effusion is often due to pleural metastasis,with malignant pleural effusion(MPE)characterized by rapid growth,being difficult to control,and tendency for recurrence.With the approval of new drugs and the expansion of indications for existing medications,the number of cancer patients receiving ICIs treatment is increasing,bringing ICIs-related pleural effusion into focus.While ICIs treatment-related pleural effusion is relatively rare in clinical practice,it is closely linked to treatment choices of patients and prognosis.Unlike MPE,the pathogenesis of ICIs treatment-related pleural effusion is more complex,not only involving non-specific immune activation leading to autoimmune inflammatory reactions but also potentially related to nodular pleural granulomatous reactions,eosinophilic chronic pleurisy,and tumor-infiltrating lymphocytes.In terms of diagnosis,ICIs treatment-related pleural effusion is typically diagnosed through exclusion,requiring the exclusion of other causes such as tumor progression,radiotherapy,and chemotherapy-induced pleural effusion,adding complexity and difficulty to the diagnostic process.Treatment for ICIs treatment-related pleural effusion often involves glucocorticoids,tocilizumab,or infliximab,aiming to alleviate symptoms and improve prognosis by suppressing excessive immune reactions.Preventing the occurrence of ICIs treatment-related pleural effusion is equally crucial,necessitating comprehensive patient assessment before ICIs administration and continuous monitoring during treatment to promptly detect and manage potential adverse reactions.Through this comprehensive management approach,the impact of ICIs treatment-related pleural effusion on patient quality of life and treatment outcomes can be minimized,optimizing overall treatment results.This review aimed to explore the pathogenesis,histological features,clinical manifestations,diagnostic methods and treatment strategies of ICIs treatment-related pleural effusion,and delve into the characteristics of ICIs treatment-related pleural effusion,in order to enhance understanding of this complication and provide a reference for clinical practice.

Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.

Objective To evaluate the quality of Xi xiong(Gansu Chuanxiong)based on the combination of intelligent sensory technology,HPLC and HS-SPME-GC-MS.Methods The chromaticity values of 10 batches of Gansu Chuanxiong Rhizoma samples were measured using a colorimeter and clustering analysis was performed;an electronic nose was used to measure the odor of Gansu Chuanxiong Rhizoma,and Loadings and PCA were conducted;According to the method under the Chuanxiaong Rhizoma section of the Chinese Pharmacopoeia,the moisture,ash content and extract were determined;HPLC was used to determine the contents of ferulic acid,chlorogenic acid and ligustrazine;the volatile components were analyzed by HS-SPME-GC-MS;the quality of Gansu Chuanxiong Rhizoma was evaluated by analyzing the correlation between chromaticity value,odor and active components.Results The total color value of Gansu Chuanxiong Rhizoma ranged from 31.210 1±1.193 7 to 43.976 3±0.721 4,at the Euclidean distance of 10,and the 10 batches of Gansu Chuanxiong Rhizoma could be clustered into four categories;Loadings and PCA showed that the higher contribution of sensors W2S,W5S,W2W,W1W and W1S to Gansu Chuanxiong Rhizoma samples,the variance contribution of the first and second principal components was 62.6%and 22.4%,respectively;water,ash and extract in 10 batches of Gansu Chuanxiong Rhizoma all met the standards of Chinese Pharmacopoeia;the HPLC determination results indicated that the content of ferulic acid in Gansu Chuanxiong Rhizoma was greater than 0.192 6%,ligustrazine content was between 0.001 2%and 0.006 1%,chlorogenic acid content was greater than 0.016 4%;HS-SPME-GC-MS results indicated 52 volatile components were identified in Gansu Chuanxiong Rhizoma samples,the olefin compounds were rich in species,phenyphthalide compounds had the highest relative content;the correlation analysis showed that the color values ΔL*,Δb* and ΔE showed a high degree of correlation with ferulic acid and ligusticum tecidate A.Conclusion This study clarifies the intrinsic quality of Gansu Chuanxiong Rhizoma and provides a theoretical basis for research on Gansu Chuanxiong Rhizoma.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

Objective To investigate the function of the glutamic-oxaloacetic transaminase 2(GOT2)gene in acute myeloid leukemia cells.Methods ShRNAs targeting at GOT2 were constructed to suppress GOT2 expression in the THP-1 human monocytic leukemia cell line.GOT2 mRNA level was measured by RT-qPCR,and GOT2 protein ex-pression was measured by Western blot.Intracellular free amino acid level was quantified using colorimetric assays.The impact of GOT2 knockdown in THP-1 cell function was evaluated through cell viability(CCK-8 assay)and ap-optosis(flow cytometry).Results After GOT2 knockdown,both GOT2 mRNA and protein were significantly de-creased in THP-1 cells(P＜0.05).Compared to the control group,GOT2 knockdown did not affect intracellular glutamate levels(P＞0.05),but led to a marked decrease in aspartate level(P＜0.05).GOT2 knockdown signifi-cantly impaired THP-1 cell viability,inhibited cell proliferation(P＜0.05)and promoted apoptosis(P＜0.05).Conclusions Down regulation of GOT2 significantly decreases intracellular aspartate level in acute myeloid leukemia cells,impairs cellular viability and induces apoptosis,which suggests that GOT2 may play a key role in the regula-tion of amino acid metabolism in acute myeloid leukemia.

Objective To investigate the effect of PIAS3 on glucose fluctuation-induced oxidative stress and mito-chondrial dysfunction in rat cardiomyocytes.Methods H9c2 were cultured in vitro,and divided into normal glucose control group(Control),mannitol-induced osmotic pressure control group(MG),constant high glucose group(HG),intermittent hyperglycemia group(IHG),IHG+siRNA NC group,and IHG+PIAS3 siRNA group.Cell proliferation was assessed using CCK-8 assay.LDH release,MDA and GSH levels,as well as SOD activity,were detected using corresponding kits.Mitochondrial membrane potential was evaluated via JC-1 staining combined with flow cytometry.ROS levels in cells and mitochondria were determined using DCFH-DA and MitoSOX staining,re-spectively.Protein expression of PI3K,p-PI3K,AKT,and p-AKT was analyzed by Western blot.Results Com-pared with the control group,intermittent hyperglycemia promoted oxidative stress and mitochondrial dysfunction,significantly upregulated PIAS3 expression(P＜0.001)and downregulated p-PI3K and p-AKT protein levels(P＜0.001).Knockdown of PIAS3 significantly alleviated oxidative stress and mitochondrial dysfunction induced by glucose fluctuations,and increased p-PI3K and p-AKT protein levels(P＜0.001).Conclusions Knockdown of PIAS3 may alleviate glucose fluctuation-induced oxidative stress and mitochondrial dysfunction in ratcardiomyocytes by activating the PI3K/AKT signaling pathway.

Objective:Using bibliometric and visualization methods, this study systematically analyzes articles published in the Chinese Journal of Psychiatry from 1996 to 2024, aiming to identify research hotspots and their dynamic evolution patterns in psychiatry over the past three decades.Methods:Research articles published in the journal from 1996 to 2024 were retrieved from the CNKI China Citation Database. Title, abstract, keyword, and publication years were extracted. Keyword co-occurrence analysis, high-frequency keywords statistics, and network visualization were conducted using R language toolkits. Additionally, co-occurrence networks were further compared across five-year intervals to trace the thematic evolution of research topics.Results:A total of 1 675 articles were included in the analysis. Over the past 30 years, research hotspots demonstrated a notable shift in the disease spectrum: starting from schizophrenia and depression, studies expanded through neuroimaging, genetics, and interdisciplinary approaches to explore pathological mechanism and advance precision treatment.Research topics progressively extended to bipolar disorder, anxiety disorders, and senile dementia, forming a multidimensional research framework encompassing molecular mechanism exploration, clinical diagnostic and therapeutic innovations, and full-cycle health management. Further extensions toward interventions in special populations and public health policy were observed. Periodic analysis revealed the thematic transitions: (1) 1996-2000: Initial construction of disease spectrum framework and pharmacotherapy-dominated approaches; (2) 2001-2005: Multidisciplinary deepening of pathological mechanisms research and therapeutic model innovation; (3) 2006-2010: Technology-driven precision medicine and expansion of the disease spectrum; (4) 2011-2015: Rise of depression research and integration of molecular mechanisms; (5) 2016-2020: Response to public health events and advancement of full-cycle health management; (6) 2021-2024: Deepening interdisciplinary integration and precision medicine.Conclusion:The evolution of high-frequency keywords in research articles in the Chinese Journal of Psychiatry (1996-2024) highlights a research trajectory characterized by expansion of disease spectrum-iterative technological methodologies-extension of application scenario extension" in psychiatry and mental health research. The journal′s dynamic publications patterns reflects a broader disciplinary development logic driven by "methodological innovation promoting theoretical advancement, and public health needs steering practical transformation", offering a framework for observing the evolution of psychiatric research from the perspective of academic publishing.