ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

Objective: To analyze the disease burden of chronic obstructive pulmonary disease (COPD) and changes in its risk factors among residents in Zhejiang Province from 1990 to 2021, so as to identify key priorities for COPD prevention and control. Methods: Data on COPD mortality and disability-adjusted life years (DALY) for residents in Zhejiang Province from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. Standardized mortality and standardized DALY rate were calculated using the GBD 2021 world population standard structure. Premature mortality was computed via the life table method. The average annual percent change (AAPC) was applied to analyze trends in COPD mortality, DALY rate, and premature mortality. Changes in deaths of COPD risk factors were evaluated using population attributable fraction (PAF). Results: From 1990 to 2021, the standardized COPD mortality in Zhejiang Province decreased from 272.40/100 000 to 70.56/100 000 (AAPC=-4.395%), and the standardized DALY rate declined from 4 167.37/100 000 to 1 071.89/100 000 (AAPC=-4.396%). Similar downward trends were observed in both males (AAPC=-3.933%, -4.173%) and females (AAPC=-4.785%, -4.480%), all P<0.05. Crude mortality and DALY rates increased with age, and the crude mortality and DALY rates of various age groups in Zhejiang Province showed decreasing trends from 1990 to 2021 (all P<0.05). The premature mortality declined from 4.37% to 0.60% from 1990 to 2021 (AAPC=- 6.206%), with consistent trends across males and females (AAPC=- 6.144%, - 6.379%, all P<0.05). From 1990 to 2021, particulate matter pollution showed the largest reduction in PAF (- 56.76%), while ambient ozone pollution had the largest increase (103.07%) in Zhejiang Province. By 2021, smoking became the leading risk factor for deaths of COPD (PAF=43.32%). Conclusions The standardized mortality, standardized DALY rate, and premature mortality for COPD show consistent declining trends in Zhejiang Province from 1990 to 2021. However, risk factors such as smoking and ambient ozone pollution require intensified focus to further reduce disease burden of COPD.

Various types of industrial parks in Shanghai play an important role in promoting industrial upgrading and technological progress， yet they are also fraught with occupational health hazards. To effectively promote workplace health and enable various industrial parks to play a positive role， the Shanghai Municipal Government has proposed accelerating the construction of healthy industrial parks. To meet the requirements for the scientific and standardized construction of healthy parks， the Shanghai Municipal Center for Disease Control and Prevention has compiled the Guidelines for Healthy Industrial Park Construction（Guidelines）. Adhering to the overall principles of scientific， feasibility， advancement， and standardization， the Guidelines address three construction levels： industrial parks， employers， and employees. They set clear requirements for organizational management， healthy environments， health services， health activities， and occupational health in the workplaces， respectively. The Shanghai healthy industrial park evaluation form was provided as an informative appendix for the Guidelines. The Guidelines offer a scientific basis for standardizing and guiding the construction of healthy industrial parks， providing new solutions and technical support for urban occupational health management.

Objective:To analyze the implementation effects of a medical laboratory talent training program based on local colleges and universities' applied talent-oriented cultivation principal as well as students' interests and industry needs.Methods:Based on the design principals of clarifying the professional orientation, meeting the national standard, reconstructing the curriculum system, introducing the spirit of innovation and entrepreneurship, and multi-dimensional collaborative education, as well as the reverse design path of the outcome-based education concept, we have built a medical laboratory applied talent training system focusing on humanity education, solid foundation, broad employment, and good competency and in accordance with the "three complete education" strategy, along with measures including creating an applied teaching atmosphere, developing an applied curriculum teaching model, providing vocational guidance and improving vocational identity, and promoting education via evaluation. The system was applied to the training and practice of students of grades 2021 and 2022 majoring in medical laboratory technology. SPSS20.0 software was used for statistical analysis.Results:With the concept of application-oriented talent training and the "four-in-one" practical teaching model, students' skills were improved, and the training path was broadened. Compared with those trained with the original program (grades 2019-2020), the graduates trained with the new program (grades 2021-2022) showed a significantly decreased employment rate in medical laboratory jobs in medical institutions from 71.25% to 42.86% ( χ2=12.36, P<0.001), a significantly increased employment rate in in-vitro diagnostics industry from 3.75% to 17.14% ( χ2=7.44, P<0.05), and a significantly increased rate of applying for postgraduate education from 17.05% to 32.86% ( χ2=4.74, P<0.05). Conclusions:The medical laboratory talent training program based on the talent training principal of local colleges and universities combined with students' interests and industry needs can help improve the quality of talent training and broaden the employment path of graduates.

Purpose/Significance To use multimodal data analysis method to mine medical Q&A data in online healthcare platforms and predict whether patients will adopt online doctors'responses.Method/Process First,numerical,categorical,textual,and visual data related to doctor-patient Q&A are obtained from online healthcare platforms,and three datasets of acute disease,chronic disease and mixed disease are constructed according to disease types.Then,normalization,one-hot encoding,Med-BERT,and convolutional neural network are used respectively to process numerical,categorical,textual,and visual data.Finally,a gradient boosting decision tree is used to predict whether patients will adopt online doctors'responses.Result/Conclusion Doctors'profile pictures can improve the prediction effect of online doctor response adoption,and multimodal data mining can effectively predict the response adoption.

The diabetic cognitive impairment(DCI)starts insidiously and can further develop into dementia.Early prevention and treatment are the key measure."Turbidity"refers to the body's metabolic products or the substances that cannot be transported and transformed normally,which is the breeding ground for DCI.The improper diet of diabetes patients leads to the imbalance of spleen and stomach absorption and induces the accumulation of essence into sugar turbidity.When the turbid remains for a long period of time,it will turn into phlegm,stasis,and turbid toxins and damage the clear orifice,resulting in cognitive impairment,which belongs to the category of"turbid evil invading the clear orifice".Neuroinflammation is a key factor inducing DCI,which is mainly regulated by meta-bolic reprogramming.As the direct product of metabolic reprogramming,lipid and lactate accumulation are key mediators of neuroin-flammation,along with high glucose,belonging to the category of"turbid evil"in traditional Chinese medicine.Metabolic reprogram-ming in the microenvironment of diabetes induces lactate and lipid accumulation,and mediates neuroinflammation,which is quite con-sistent with the development of TCM pathogenesis of"turbid evil invading the orifices".This paper aims to explore the modern biologi-cal understanding of the pathogenesis of turbid evil invading the clear orifice in DCI from the perspective of metabolic reprogramming,and to provide new ideas for its research of prevention and treatment in traditional Chinese medicine.

Objective To analyze the characteristics of conventional ultrasound and contrast-enhanced ultrasound(CEUS)in hypovascular renal tumors,and to explore the application value of combining the 2 methods in diagnosing benign and malignant hypovascular renal tumors.Methods The conventional ultrasound and CEUS data of 104 hypovascular renal tumors(76 benign lesions[benign group]and 28 malignant lesions[malignant group])from 99 patients,who were confirmed by postoperative pathology,biopsy pathology or computed tomography(CT)/magnetic resonance imaging(MRI)enhancement combined with long-term follow-up in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine and its Wuxi Branch from Oct.13,2009 to Oct.26,2022,were retrospectively analyzed.The location,size,internal echo,morphology,internal and peripheral blood supply of the lesions were observed by conventional ultrasound,and the perfusion mode,regression pattern,perfusion uniformity and ring enhancement signs were observed by CEUS.Taking the pathological results or confirmed results of CT/MRI enhancement combined with long-term follow-up as the gold standard,the value of conventional ultrasound combined with CEUS in the differential diagnosis of benign and malignant hypovascular renal tumors was analyzed.Results There were significant differences in gender,age of patients and internal echo,contrast agent regression and ring enhancement signs of lesions between the 2 groups(all P＜0.05).The malignant tumors were mostly found in males(78.6％,22/28)with an average age of(58.29±11.76)years old;the masses were mostly hypoechoic(64.3％,18/28),and rapid washout was predominant with CEUS(60.7％,17/28).In the benign group,most of the patients were female(55.3％,42/76),with an average age of(50.64±14.88)years old;the majority of the masses were hyperechoic(64.5％,49/76),and CEUS showed simultaneous washout as the main lesion(56.6％,43/76).Three patients(10.7％,3/28)with ring enhancement signs were all malignant.The diagnostic accuracy(82.7％)and specificity(88.2％)for benign and malignant hypovascular renal tumors were relatively high when combining the diagnostic indicators of ring enhancement signs and hypoechoic.The diagnostic sensitivity(85.7％)and negative predictive value(92.3％)were relatively high when combining the 3 diagnostic indicators of ring enhancement,hypoechoic,and rapid washout.Conclusion Conventional ultrasound combined with CEUS has significant clinical practical value in the differential diagnosis of benign and malignant hypovascular renal tumors.The ring enhancement sign is highly specific in the diagnosis of malignant hypovascular renal tumors.However,if this sign is not significant and conventional ultrasound shows hypoechoic or CEUS exhibits rapid washout,there is a strong suggestion that the mass may be a malignant lesion.

Objective:To investigate the effects of conventional anesthesia combined with low dose esketamine on pain and stress response in patients undergoing laparoscopic total hysterectomy.Methods:A total of 150 patients with laparoscopic total hysterectomy admitted to our hospital from Jan. 2022 to Dec. 2023 were selected as subjects. All patients were divided into control group and study group by coin toss method, with 75 cases in each group. The control group were given conventional anesthesia, and the study group were given a small dose of esketamine. Intraoperative sedation, hemodynamics at different times, postoperative pain, stress response and the incidence of adverse reactions were compared between the two groups.Results:There was no significant difference in hemodynamics between the two groups ( P>0.05). Mean arterial pressure (MAP) was (94.84±6.02), (86.14±5.99) mmHg, systolic blood pressure (SBP) was (96.48±5.72), (96.48±5.69) mmHg; Heart rate (HR) was 95.51±5.95, 84.05±5.57 times/min, while they were 102.05±6.13, 93.71±6.25, 105.03±6.07, 104.37±6.02 mmHg, 102.49±6.87, 90.51±5.86 times/min, respectively in the control group. The study group was significantly lower than the control group ( P<0.05). SpO2 at extubation and extravasation were (97.47±1.24) % and (98.11± 1.24) % in study group and (96.32±1.21) % and (97.03±1.23) % in the control group, significantly higher than those in the control group ( P<0.05). VAS scores at 3 h, 6 h, 12 h and 24 h were 1.71±0.35, 2.58±0.53, 3.27±0.68, 3.86±0.82 in the study group and 2.13±0.42, 3.74±0.75, 4.52±1.01, 4.53±1.04 in the control group. The study group was significantly lower than the control group ( P<0.05). Study group 5-hydroxytryptamine (5-HT), substance P (SP), norepinephrine, NE) levels were 29.53±7.68, 37.44±8.16, 49.71±9.56 ng/mL, and 52.81±10.04, 54.62±10.25, 61.23±10.08 ng/mL in the control group, significantly lower than those in the control group ( P<0.05). Postoperative 2 d study group calcitonin gene related peptide (calcitonin gene related peptide, CGRP), neuropeptide Y (NPY) and cortisol (Cor) levels were 158.41±27.06 pg/mL, 127.84±24.21 pg/mL and 240.37±31.55 nmol/L. The control group was 175.49±30.28 pg/mL, 153.92±28.63 pg/mL, 251.18±34.92 nmol/L, and the study group was significantly lower than the control group ( P<0.05). The incidence of adverse reactions in the study group was 10.67% (8/75), and the control group was 16.00% (12/75), with no statistical significance ( P>0.05) . Conclusion:Conventional anesthesia combined with low-dose esketamine can help reduce intraoperative hemodynamic changes in patients with laparoscopic total hysterectomy, improve sedation effect, relieve postoperative pain, reduce postoperative pain factors and oxidative stress related indexes of patients without increasing adverse reactions, and has good efficacy and safety.

Venous thromboembolism(VTE)is a prevalent complication in orthopedics.In recent years,machine learning has been widely applied in orthopedics.The essence of machine learning lies in utilizing algorithms to analyze vast amounts of data and construct risk prediction models that can accurately forecast unknown clinical outcomes.By integrating high-risk factors,machine learning aids medical professionals in precisely identifying and screening individuals with a high risk of VTE and offering them timely individualized interventions.This article reviews the concept and classification of machine learning,the advantages of machine learning in enhancing model prediction ability,and the current application status of machine learning in constructing risk prediction models for patients with VTE.