Objective:To explore the effect of SPOC combined with PBL teaching mode based on post competence in the training of pediatric resident physicians.Methods:Sixty trainees who participated in the standardized residency training for pediatric healthcare in the Department of Pediatrics of our hospital from Jan 2020 to Dec 2022 were selected.Based on different teaching plans,they were divided into the control group and the observation group,with 30 trainees in each group.The control group received PBL teaching mode and the observation group received SPOC combined with PBL teaching mode based on post competence.A comprehensive assessment of the participants was conducted through theoretical knowledge and practical skills scores,self-evaluation of post competence before and after standardized training,and subjective evaluation questionnaires of training methods.Results:The scores of theoretical knowledge and practical skills,and total score in the observation group were higher than those in the control group(P＜0.05).After standardized training,both groups showed a significant improvement in self-assessment scores in clinical basic competence,professional spirit and quality,and doctor-patient communication skills compared with before standardized training(P＜0.05),and the above scores in the observation group were higher than those in the control group(P＜0.05).The self-assessed total score of post competence after standardized training was positively correlated with the total score of subjective evaluation questionnaire(r=0.546,P＜0.05)and showed no significant correlation with the students'exam scores(P＞0.05).Conclusions:The SPOC combined with PBL teaching mode based on post competence demonstrates promising prospects in the training of pediatric resident physicians.Under this new mode,trainees exhibit superior mastery of theoretical knowledge,application of practical skills,and development of post competence.

Compared to traditional machine learning algorithms,which often suffer from low feature extraction efficiency,insufficient nonlinear pattern recognition capabilities and slow training speeds,the broad learning system(BLS)enhances the learning ability and efficiency by horizontally expanding the network structure.BLS offers advantages such as a simple structure,fast training speed,and strong generalization capabilities.While BLS has demonstrated potential in various fields,but its application in identification of complex samples has not been fully explored.This research investigated the feasibility of using BLS algorithm for identification of complex samples based on physicochemical indicators.Using the iris,wine,and breast cancer datasets,the length and width of petals and sepals of iris flowers,the physicochemical properties of wine,and the nuclear characteristics of breast cancer cells were used as input variables to establish BLS models for identifying iris species,wine varieties,and benign versus malignant nucleus.The model performance was evaluated by confusion matrices,accuracy,and runtime.Compared with partial least squares-discriminant analysis(PLS-DA),soft independent modeling of class analogies(SIMCA),and artificial neural networks(ANN),the results indicated that BLS demonstrated significant advantages in computational efficiency and recognition accuracy.Thus,BLS was an efficient and reliable method for identification of complex samples.

Water-soluble silver nanoclusters(DHLA-AgNCs)with red fluorescence emission were synthesized using silver nitrate(AgNO3)as silver source,dihydrolipoic acid(DHLA)as ligand and sodium borohydride(NaBH4)as reducing agent by one-pot method.Based on the selective quenching of DHLA-AgNCs by tetracycline(TC),a rapid and selective fluorescence analysis method for detection of TC was constructed by monitoring the fluorescence intensity change at 650 nm.Under the optimal detection conditions,the fluorescence quenching efficiency of DHLA-AgNCs showed good linear relationship with concentration of TC within the range of 10.0-120.0 μmol/L,and the limit of detection(LOD)was 0.39 μmol/L.This method was successfully applied to detection of TC in milk samples,with spiked recoveries ranging from 99.5%to 102.5%,and relative standard deviations(RSDs)less than 5%.This method had the advantages of simplicity,rapidity,strong specificity and low cost,and thus provided a simple and feasible strategy for selective detection of TC.

Objective:To compare the clinical application of the anterolateral thigh perforator flap (ALTPF) and the calf pedicled propeller perforator flap (PPPF) in reconstruction of soft tissue defect of foot and ankle.Methods:A retrospective observational study was conducted. From March 2013 to June 2019, 48 patients with soft tissue defect around ankle and in foot were reconstructed with ALTPF and PPPF in the Department of Orthopaedics, 920th Hospital of the Joint Logistic Support Force, People's Liberation Army of China. According to the types of flap, the patients were divided into 2 groups: ALTPF group (21 patients,13 males and 8 females, aged 16-67 years, mean 38.71 years±15.30 years. Donor sites were all directly sutured.) and PPPF group (27 patients, 12 males and 15 females, aged 12-69 years, mean 35.18 years±13.96 years. Five cases in the donor site required partial skin grafting, and the rest 22 cases were repaired by directly suture.). The wound size of the former was 5 cm×6 cm-15 cm×18 cm, and at 2 cm×3 cm-14 cm×17 cm for the latter. The surgical time and flap size of the 2 groups were recorded during the surgery. The survival and complications of the flap were observed, and the days of hospital stay were recorded after surgery. Follow-ups were conducted by outpatient clinic and via telephone and WeChat interviews. The colour, texture, appearance, donor scar, complications and thinning of the flap were observed during the follow-up. The ankle function was evaluated according to the score of American Orthopaedic Foot and Ankle Society (AOFAS), and the donor scar was evaluated according to the score of Vancouver Scar Scale (VSS). SPSS 22.0 statistical software was used for data analysis, and P<0.05 was considered statistically significant. Results:The surgical time for the ALTPF group was 118-203 (154.71±25.42) min, and that for the PPPF group was 52-92 (72.78±10.04) min. The size of the flap in the ALTPF group was 5 cm×8 cm-8 cm×18 cm (75.00 cm 2±8.69 cm 2), while it was 3 cm×7 cm-7 cm×17 cm (53.56 cm 2±19.49 cm 2) in the PPPF group. In the ALTPF group, 3 flaps had vascular complications within 24 hours after surgery, which survived after exploration and thrombectomy. Partial necrosis occurred in 1 flap. The rest 17 flaps survived uneventfully. In the PPPF group, 2 flaps had partial necrosis due to infection and they healed after dressing changes, 3 flaps had venous occlusion and survived after phlebotomy, partial suture removal and massage. The rest 22 flaps in 2 groups survived uneventfully. The postoperative days of hospital stay for the ALTPF group was 6-14 (8.71±2.03) days, and that was 4-12 (6.03±2.16) days in the PPPF group. Flap thinning was performed on 19 flaps in the ALTPF group and 2 in the PPPF group. Follow-up was performed for 7 to 21 months. All the flaps were good in colour, shape and texture. All donor sites healed well. At the final follow-up, 19 patients achieved ankle function of excellent, 1 of good and 1 of fair in the ALTPF group, and 21 patients achieved ankle function of excellent, 4 of good and 2 of fair in the PPPF group, according to the AOFAS. According to the VSS, scores of donor site scar was rated 4-8 (6.33±1.35) points for the ALTPF group, and 3-10 (5.92±1.80) points for the PPPF group. Statistical analysis showed no significant differences between the 2 groups in terms of early postoperative complications, flap survival rate, ankle function, and VSS scores ( P>0.05). However, there were statistically significant differences between the 2 groups in terms of surgical time, hospital stay, flap size, and the number of flap thinning ( P<0.05). Conclusion:Both ALTPF and PPPF have good clinical effects in reconstruction of soft tissue defect of foot and ankle. For small to medium-sized wounds, PPPF is the preferred choice due to the advantages in surgical time and postoperative hospital stay. For larger wounds, the ALTPF is the first choice with multiple surgery.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

The application of sensors to the monitoring of spinal morphology and motion was reviewed in terms of the research object and monitoring index.The present situation of the application of sensors was introduced,such as inertial sensor,stretchable strain sensor and electromagnetic sensor.The deficiencies of sensors applied to the monitoring of spinal morphology and motion were analyzed,and the future directions of the application were pointed out.[Chinese Medical Equipment Journal,2025,46(6):105-110]

The application of sensors to the monitoring of spinal morphology and motion was reviewed in terms of the research object and monitoring index.The present situation of the application of sensors was introduced,such as inertial sensor,stretchable strain sensor and electromagnetic sensor.The deficiencies of sensors applied to the monitoring of spinal morphology and motion were analyzed,and the future directions of the application were pointed out.[Chinese Medical Equipment Journal,2025,46(6):105-110]

The ventral anterior (VA) nucleus of the thalamus is a major target of the basal ganglia and is closely associated with the pathogenesis of Parkinson's disease (PD). Notably, the VA receives direct innervation from the hypothalamic histaminergic system. However, its role in PD remains unknown. Here, we assessed the contribution of histamine to VA neuronal activity and PD motor deficits. Functional magnetic resonance imaging showed reduced VA activity in PD patients. Optogenetic activation of VA neurons or histaminergic afferents significantly alleviated motor deficits in 6-OHDA-induced PD rats. Furthermore, histamine excited VA neurons via H1 and H2 receptors and their coupled hyperpolarization-activated cyclic nucleotide-gated channels, inward-rectifier K⁺ channels, or Ca²⁺-activated K⁺ channels. These results demonstrate that histaminergic afferents actively compensate for Parkinsonian motor deficits by biasing VA activity. These findings suggest that targeting VA histamine receptors and downstream ion channels may be a potential therapeutic strategy for PD motor dysfunction.
Animals ; Histamine/metabolism* ; Male ; Oxidopamine/toxicity* ; Rats ; Ventral Thalamic Nuclei/physiopathology* ; Rats, Sprague-Dawley ; Disease Models, Animal ; Parkinson Disease/metabolism* ; Neurons/physiology* ; Humans ; Optogenetics

The interactions between microorganisms and medicinal plants are crucial to the quality improvement of medicinal plants. Medicinal plants attract microorganisms to colonize by secreting specific compounds and provide niche and nutrient support for these microorganisms, with a symbiotic network formed. These microorganisms grow in the rhizosphere, phyllosphere, and endophytic tissues of plants and significantly improve the growth performance and medicinal component accumulation of medicinal plants by promoting nutrient uptake, enhancing disease resistance, and regulating the synthesis of secondary metabolites. Microorganisms are also widely used in the ecological planting of medicinal plants, and the growth conditions of medicinal plants are optimized by simulating the microbial effects in the natural environment. The interactions between microorganisms and medicinal plants not only significantly improve the yield and quality of medicinal plants but also enhance their geoherbalism, which is in line with the concept of green agriculture and eco-friendly development. This study reviewed the research results on the interactions between medicinal plants and microorganisms in recent years and focused on the analysis of the great potential of microorganisms in optimizing the growth environment of medicinal plants, regulating the accumulation of secondary metabolites, inducing systemic resistance, and promoting the ecological planting of medicinal plants. It provides a scientific basis for the research on the interactions between medicinal plants and microorganisms, the research and development of microbial agents, and the application of microorganisms in the ecological planting of medicinal plants and is of great significance for the quality improvement of medicinal plants and the green and sustainable development of TCM resources.
Plants, Medicinal/metabolism* ; Bacteria/genetics* ; Symbiosis

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.