Promoting the construction of a “Healthy China” is essential to building a great modern socialist country. Health workers in every era have their historical missions and they are the “benevolent doctors” of their own era. Therefore， clarifying the basic connotation and times requirements of “benevolent doctors” has become the first question to be answered in cultivating “benevolent doctors”. The basic connotation of “benevolent doctor” should reflect not only the comprehensive development of moral， intellectual， physical， aesthetic， and labor education in fostering virtue and nurturing talents， but also embody the people-centered development philosophy， promote social equity and justice， and reflect the strategic needs of building a “Healthy China.” Specifically in the practice of medical education， emphasizing both medical science spirit and medical humanities spirit has become an important path to cultivate “benevolent doctors” in the new era.

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

OBJECTIVE: To explore the safety and efficacy of high-dose etoposide (VP-16) combined with recombinant human granulocyte colony-stimulating factor (rhG-CSF) as salvage mobilization for peripheral blood stem cells (PBSC) in newly diagnosed multiple myeloma (NDMM) patients. METHODS: From April 2021 to May 2023, eight NDMM patients who had failed to yield sufficient PBSC during initial mobilization with high-dose cyclophosphamide (CTX) combined with rhG-CSF underwent salvage mobilization with 1.2 g/m2 etoposide combined with rhG-CSF 10 μg/(kg·d). The effects and adverse reactions of initial mobilization and salvage mobilization were analyzed. RESULTS: For salvage mobilization and initial mobilization, the numbers of PBSC collections were 16 and 18, respectively. The mean value of total collected CD34⁺ cells were (11.90±5.75)×10⁶/kg and (1.67±0.75)×10⁶/kg (P =0.0010) in salvage mobilization group and initial mobilization group, respectively. The proportion of patients with a total collection of CD34⁺ cell count≥2×10⁶/kg were 100% and 37.5% (P =0.0625), and the proportion of patients with a total collection of CD34⁺ cell count≥5×10⁶/kg were 87.5% and 0% (P =0.0156) in salvage mobilization group and initial mobilization group, respectively. For five patients who underwent high-dose CTX initial mobilization but had a total CD34⁺ cell count < 2×10⁶/kg, successful collection was achieved through salvage mobilization with high-dose VP-16. Salvage mobilization with high-dose VP-16 was scheduled 2-3 weeks after failure of CTX mobilization. Adverse reactions of high-dose VP-16 mobilization did not increase compared to the initial mobilization with high-dose CTX. CONCLUSION As a salvage mobilization regimen, VP-16 1.2 g/m² combined with rhG-CSF is safe and highly effective in NDMM patients who failed to initial mobilization with high-dose CTX combined with rhG-CSF.
Humans ; Multiple Myeloma/therapy* ; Etoposide/therapeutic use* ; Hematopoietic Stem Cell Mobilization/methods* ; Cyclophosphamide/therapeutic use* ; Granulocyte Colony-Stimulating Factor ; Salvage Therapy ; Peripheral Blood Stem Cells ; Male ; Middle Aged ; Female ; Peripheral Blood Stem Cell Transplantation

Acute mitochondrial damage and the energy crisis following axonal injury highlight mitochondrial transport as an important target for axonal regeneration. Syntaphilin (Snph), known for its potent mitochondrial anchoring action, has emerged as a significant inhibitor of both mitochondrial transport and axonal regeneration. Therefore, investigating the molecular mechanisms that influence the expression levels of the snph gene can provide a viable strategy to regulate mitochondrial trafficking and enhance axonal regeneration. Here, we reveal the inhibitory effect of microRNA-146b (miR-146b) on the expression of the homologous zebrafish gene syntaphilin b (snphb). Through CRISPR/Cas9 and single-cell electroporation, we elucidated the positive regulatory effect of the miR-146b-snphb axis on Mauthner cell (M-cell) axon regeneration at the global and single-cell levels. Through escape response tests, we show that miR-146b-snphb signaling positively regulates functional recovery after M-cell axon injury. In addition, continuous dynamic imaging in vivo showed that reprogramming miR-146b significantly promotes axonal mitochondrial trafficking in the pre-injury and early stages of regeneration. Our study reveals an intrinsic axonal regeneration regulatory axis that promotes axonal regeneration by reprogramming mitochondrial transport and anchoring. This regulation involves noncoding RNA, and mitochondria-associated genes may provide a potential opportunity for the repair of central nervous system injury.
Animals ; Zebrafish ; MicroRNAs/genetics* ; Nerve Regeneration/physiology* ; Mitochondria/metabolism* ; Zebrafish Proteins/genetics* ; Axons/metabolism* ; Signal Transduction/physiology* ; Axonal Transport/physiology* ; Nerve Tissue Proteins/genetics*

The lungs are the most common sites of metastases from non-pulmonarymalignancies. Endobronchial metastases are rare and have no specificity in clinical manifestations,thus being prone to misdiagnosis and delayed treatment.The common tumors associated with endobronchial metastasis are renal,breast,and colorectal cancers.This article reported one case of postoperative rectal cancer with endobronchial and lung metastases,which was relieved by high-frequency electrocautery ablation via bronchoscope,chemotherapy,and targeted drugs,aiming to provide a reference for clinical diagnosis and treatment.
Humans ; Rectal Neoplasms/pathology* ; Electrocoagulation/methods* ; Bronchial Neoplasms/drug therapy* ; Bronchoscopy ; Lung Neoplasms/secondary* ; Bronchoscopes

This case report described the sucussful treatment of a male infant born at 21 weeks and 4 days through assisted reproductive technology. After prenatal consultation and with the strong desire of the parents, active resuscitation and treatment were performed. The infant received 52 days of mechanical ventilation and was extubated to non-invasive ventilation at a corrected gestational age of 28 weeks and 6 days. During hospitalization, no vasoactive drugs were used, and necrotizing enterocolitis did not occur. The gastric tube was removed at a corrected gestational age of 37 weeks and 4 days. At a corrected gestational age of 40 weeks, cranial MRI showed no abnormalities. The infant was discharged at a corrected gestational age of 42 weeks after 143 days of treatment, without the need for any respiratory support. Follow-up until a corrected age of 6 months showed good growth and development.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

As the improvement of patient experience and medical experience has become the key goal of medical model reform,patient experience has gradually guided the development direction of future medical treatment and dominated the model of patient management.Patient journey mapping,as a patient-centered tool for visualizing patient experience,has been widely used in patient management in recent years.It will introduce the definition,construction method,application progress,problems,and prospects of patient journey mapping in the field of patient management at home and abroad to encourage more medical staff to use patient journey mapping to gain insight into patient needs,optimize patient experience and gather strength in patient management.

Objective:To summarize the incidence of cerebral venous reflux (CVR) in patients with recent small subcortical infarct (RSSI) and explore its correlation with enlarged perivascular spaces (EPVS).Methods:Patients with RSSI in the lenticulostriate artery admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University from January 2019 to December 2022 were included. The baseline demographic data, medical history, and laboratory results of the patients were collected. CVR was assessed by time-of-flight magnetic resonance angiography. Patients were stratified into 2 groups based on the presence (CVR group) or absence of CVR (non-CVR group), and baseline characteristics as well as laboratory test results were compared between the 2 groups. The location and number of EPVS were evaluated using a visual grading scale, with EPVS with higher scores defined as high-grade EPVS (HEPVS). Simultaneous evaluation of cerebral white matter hyperintensities and lacunar infarctions was conducted, followed by intergroup comparisons. The relationship between EPVS and CVR was studied using multiple Logistic regression analysis.Results:A total of 571 patients with RSSI in the lentiform artery area were ultimately included, including 180 females (31.5%). Their age was (59.37±12.87) years. Among them, 73 patients (12.8%) exhibited CVR based on imaging findings, so the incidence of CVR was 12.8%. In comparison between the CVR group ( n=73) and the non-CVR group ( n=498), the proportion of females [21.9% (16/73) vs 32.9% (164/498), χ 2=3.578, P=0.059] was lower and the proportion of history of smoking [38.4% (28/73) vs 27.7% (138/498), χ 2=3.499, P=0.061] was higher in the CVR group, but without statistical significance. Additionally, the history of alcohol consumption [34.2% (25/73) vs 21.7% (108/498), χ 2=5.621, P=0.018] and the proportion of patients with concomitant HEPVS in the basal ganglia area [41.1% (30/73) vs 25.3% (126/498), χ 2=7.999, P=0.005] was higher in the CVR group with statistical significance. Multiple Logistic regression analysis showed that HEPVS in the basal ganglia region remained independently associated with CVR ( OR=1.988, 95% CI 1.190-3.320, P=0.009). Conclusion:EPVS in the basal ganglia region is significantly associated with CVR in the RSSI population, suggesting that venous dysfunction may be closely related to the formation of EPVS.