Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

Objective To investigate the level 4 surgical safety management in tertiary public hospitals in Sichuan Province.Methods A combination of questionnaires and qualitative interviews was used to investigate the basic situation of four-level surgery performed,the volume of surgery,and the management of surgery in 34 tertiary public hospitals in Sichuan Province.Results Among the 34 tertiary public hospitals surveyed,the percentage of patients discharged with level Ⅳ surgery in 2023 was 18.96％,which was lower than the level of the percentage of patients discharged with level Ⅳ surgery did not establish a leading group for level Ⅳ surgery (17.65％),a system for preoperative multidisciplinary discussion of level Ⅳ surgery(14.71％),and a system for preoperative multidisciplinary discussion of level Ⅳ surgery with various department-related expert pool(41.18％),multidisciplinary joint examination room(23.53％),and the monitoring and evaluation mechanism for the completion of preoperative multidisciplinary discussion for level 4 surgery(20.59％).Conclusion The volume of level Ⅳ surgeries in tertiary public hospitals in Sichuan Province needs to continue to be improved,and the establishment of a standardized management system for level Ⅳ surgeries is imperative.

Public hospitals have introduced third-party payment methods to improve patients'medical treatment experience,however large public hospitals face challenges in financial reconciliation due to the complexity of income types,multiple accounting units,and delayed cross-hospital reconciliation.Based on the practical experience of the First Affiliated Hospital of Zhengzhou University in financial management,it analyzes the current situation of third-party payment in hospitals and identifies key problems in financial reconciliation,such as increased risk of re-funds,prominent single-sided accounting issues,and low efficiency of manual reconciliation.It proposes strategies for optimizing the hierarchical structure of the reconciliation post,updating accounting subjects rationally,and im-proving the intelligence of the reconciliation system,to provide reference for financial reconciliation work in large pub-lic hospitals under third-party payment methods and improve the operational efficiency of public hospitals.

Aim To identify the underlying target of bullatine A(BA)against rheumatoid arthritis(RA)u-sing limited proteolysis-small molecule mapping(LiP-SMap)drug target proteomics and to provide a scientif-ic basis for clinical application of Aconiti brachypodi Radix in the treatment of RA.Methods LiP-SMap drug target proteomics was employed to perform bioin-formatics analysis for comparing and validating the dif-ferential protein expression after BA intervention.A collagen-induced arthritis(CIA)model was estab-lished in DBA/1 mice using bovine type Ⅱ collagen.The mice were then divided into the CIA model group,methotrexate-positive control group(MTX group),and BA groups(10 mg·kg-1 and 20 mg·kg-1)based on their clinical scores.After drug intervention,the thera-peutic efficacy against RA was assessed by joint index scores and foot thickness measurements.Histopatholog-ical changes in the arthritic joints of CIA mice were e-valuated using hematoxylin and eosin(HE)staining.Enzyme-linked immunosorbent assay(ELISA)was employed to detect inflammatory cytokines interleukin-17(IL-17)and total IgG and IgG3 anti-collagen-spe-cific antibodies levels from the serum of CIA mice.Flow cytometry was used to detect the expression levels of intracellular Th17 cells(IL-17+CD4+T cells)and Th1 cells(IFN-γ+CD4+T cells).Fluorescent quanti-tative PCR was performed to detect the expression of genes related to differential proteins.Results The proteomic analysis identified Serpinb1a as a protein with strong binding affinity to BA,and KEGG enrich-ment analysis indicated IL-17 signaling pathway was a crucial pathway of BA in against RA.BA treatment significantly reduced clinical scores and foot thickness,improved local arthritis symptoms in CIA mice,and al-leviated inflammatory cell infiltration into arthritic joints(P＜0.05).Differential protein validation re-sults showed that BA had strong affinity with Serpinb1a(-5.92 kJ·mol-1)and downregulated the expres-sion of Serpinb1a mRNA.Furthermore,the administra-tion of BA markedly reduced serum IL-17 A levels from CIA mice,inhibited the expression of intracellular IL-17 A and IFN-γ cytokines in splenic CD4+T cells(P＜0.05),and significantly downregulated the transcrip-tional expression of IL-17F(P＜0.05).Conclusion BA exhibits therapeutic effects on collagen-induced arthritis,and its mechanism of action may involve the regulation of Serpinb1a and the IL-17 signaling path-way.

Objective To provide experimental evidence for selecting acupuncture timing in clinical practice,the optimal time for enhancing the brain effects of electroacupuncture at the Hegu acupoint(LI4)by observing brain imaging data,hemodynamic changes and differences in brain functional connectivity across the twelve traditional Chinese time periods were determined.Methods Thirty-six C57BL/6 mice were randomly divided into 12 groups corresponding to each of the twelve time periods(Zi,Chou,Yin,Mao,Chen,Si,Wu,Wei,Shen,You,Xu,Hai),with 3 mice per group.Each mouse received electroacupuncture stimulation using the same protocol.Brain imaging data and dynamic hemodynamic changes were collected using functional ultrasound imaging(FUS)ultrasound imaging technology every 0.4 s over a total duration of 420 s,covering pre-acupuncture(resting state),during acupuncture(task state),and post-acupuncture(post-task state)phases.The hippocampal region(HIP)was used as the observation point to analyze changes in functional connectivity between HIP and other brain regions before and after acupuncture.Results Compared to other time periods,the Mao group exhibited the largest whole-brain activation area and the highest average activation signal intensity.The hemodynamic signal increase in the hippocampal region was more pronounced,and the post-acupuncture blood flow signal intensity remained significantly higher than the pre-acupuncture resting state.Functional connectivity data revealed that,using 0.2 as the standard value,the Mao group showed the greatest number of altered brain regions before and after acupuncture.Notably,only in the Mao group was there a significant enhancement in connectivity between the bilateral hippocampal regions.Conclusion The immediate effects of electroacupuncture at the Hegu acupoint(LI4)and brain functional connectivity vary significantly across different time periods,aligning with the traditional Chinese medicine theory of meridian qi and blood flow.Mao time is identified as the optimal period.

Objective To investigate the level 4 surgical safety management in tertiary public hospitals in Sichuan Province.Methods A combination of questionnaires and qualitative interviews was used to investigate the basic situation of four-level surgery performed,the volume of surgery,and the management of surgery in 34 tertiary public hospitals in Sichuan Province.Results Among the 34 tertiary public hospitals surveyed,the percentage of patients discharged with level Ⅳ surgery in 2023 was 18.96％,which was lower than the level of the percentage of patients discharged with level Ⅳ surgery did not establish a leading group for level Ⅳ surgery (17.65％),a system for preoperative multidisciplinary discussion of level Ⅳ surgery(14.71％),and a system for preoperative multidisciplinary discussion of level Ⅳ surgery with various department-related expert pool(41.18％),multidisciplinary joint examination room(23.53％),and the monitoring and evaluation mechanism for the completion of preoperative multidisciplinary discussion for level 4 surgery(20.59％).Conclusion The volume of level Ⅳ surgeries in tertiary public hospitals in Sichuan Province needs to continue to be improved,and the establishment of a standardized management system for level Ⅳ surgeries is imperative.

Public hospitals have introduced third-party payment methods to improve patients'medical treatment experience,however large public hospitals face challenges in financial reconciliation due to the complexity of income types,multiple accounting units,and delayed cross-hospital reconciliation.Based on the practical experience of the First Affiliated Hospital of Zhengzhou University in financial management,it analyzes the current situation of third-party payment in hospitals and identifies key problems in financial reconciliation,such as increased risk of re-funds,prominent single-sided accounting issues,and low efficiency of manual reconciliation.It proposes strategies for optimizing the hierarchical structure of the reconciliation post,updating accounting subjects rationally,and im-proving the intelligence of the reconciliation system,to provide reference for financial reconciliation work in large pub-lic hospitals under third-party payment methods and improve the operational efficiency of public hospitals.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Objective:To propose suggestions for the revision of quality standard of steviol glycosides through research on its major manufacturer's products.Methods:The inspection items in the current quality standards were inspected,with domestic and international quality standard of steviol glycosides.Results:Specific rotation was from-33.39° to-39.50°,pH was from 5.3 to 6.7,impurity absorbency was lower than 0.096 0,while the contents of weight loss on drying were lower than 5.0％,residue on ignition were lower than 0.043％,methanol residual were lower than 0.01％,ethanol residual were lower than 0.06％,residue on arsenic were lower than 0.000 054％,lead wasn't detected.The content of rebaudioside A and 13 kinds of steviol glycosides were 8.23％-68.48％and 85.78％-96.13％.Conclusion:The main components of the commercial steviol glycosides products were rebaudioside A and stevioside,with low safety risk of elemental impurities and solvent residues.It provided suggestions for the revision of quality standard of steviol glycosides in the Chinese Pharmacopoeia.

OBJECTIVE: To elucidate the specific mechanisms by which electroacupuncture (EA) alleviates anxiety and fear behaviors associated with posttraumatic stress disorder (PTSD), focusing on the role of lipocalin-2 (Lcn2). METHODS: The PTSD mouse model was subjected to single prolonged stress and shock (SPS&S), and the animals received 15 min sessions of EA at Shenmen acupoint (HT7). Behavioral tests were used to investigate the effects of EA at HT7 on anxiety and fear. Western blotting and enzyme-linked immunosorbent assay were used to quantify Lcn2 and inflammatory cytokine levels in the prefrontal cortex (PFC). Additionally, the activity of PFC neurons was evaluated by immunofluorescence and in vivo electrophysiology. RESULTS: Mice subjected to SPS&S presented increased anxiety- and fear-like behaviors. Lcn2 expression in the PFC was significantly upregulated following SPS&S, leading to increased expression of the proinflammatory cytokines tumor necrosis factor-α and interleukin-6 and suppression of PFC neuronal activity. However, EA at HT7 inhibited Lcn2 release, reducing neuroinflammation and hypoexcitability in the PFC. Lcn2 overexpression mitigated the effects of EA at HT7, resulting in anxiety- and fear-like behaviors. CONCLUSION EA at HT7 can ameliorate PTSD-associated anxiety and fear, and its mechanism of action appears to involve the inhibition of Lcn2-mediated neural activity and inflammation in the PFC. Please cite this article as: Yang YD, Zhong W, Chen M, Tang QC, Li Y, Yao LL, et al. Electroacupuncture alleviates behaviors associated with posttraumatic stress disorder by modulating lipocalin-2-mediated neuroinflammation and neuronal activity in the prefrontal cortex. J Integr Med. 2025; 23(5):537-547.
Electroacupuncture ; Stress Disorders, Post-Traumatic/metabolism* ; Animals ; Lipocalin-2/metabolism* ; Prefrontal Cortex/physiopathology* ; Male ; Mice ; Neurons/physiology* ; Disease Models, Animal ; Fear ; Behavior, Animal ; Mice, Inbred C57BL ; Neuroinflammatory Diseases/metabolism* ; Anxiety/therapy* ; Acupuncture Points