Panax notoginseng is the dried root and rhizome of Panax notoginseng(Burk.)F.H.Chen,a perennial erect herb of the genus Ginseng of the family Wujiaceae.As a traditional Chinese medicine in our country,Panax notoginseng has a good tonic effect,and the Dictionary of Traditional Chinese Medicines has the words that Panax notoginseng is used to tonify the blood,remove the blood stasis and damage,and stop epistaxis.It can also be used to pass the blood and tonify the blood with the best efficacy,and it is the most precious one of the prescription med-icines.Eaten raw,it removes blood stasis and generates new blood,subdues swelling and stabilizes pain,stops bleeding with-out leaving stasis,and promotes blood circulation without hurting the new blood;taken cooked,it can be used to replenish and strengthen the body.Notoginsenoside R1 is a characteristic com-pound in the total saponin of Panax ginseng.In recent years,China's aging has been increasing,and the incidence of neuro-logical disorders has been increasing year by year.Meanwhile,reports on notoginsenoside R1 in the treatment of neurological disorders are increasing,and its neuroprotective effects have been exerted with precise efficacy.The purpose of this paper is to review the treatment of neurological diseases and the mecha-nism of action of notoginsenoside R1,so as to provide a certain theoretical basis for clinical use and new drug development.

Objective To explore the effects of preoperative anxiety on intraoperative body temperature,adverse reactions during recovery and incision healing in elderly patients undergoing radical mastectomy under general anesthesia.Methods A total of 139 elderly patients who underwent radical mastectomy under general anesthesia in the Fourth Affiliated Hospital of Nanjing Medical University from January 2020 to December 2022 were selected as the study objects,and they were divided into the non-anxiety group(87 cases)and the anxiety group(52 cases)according to whether they were complicated with anxiety before surgery.The nasopharyngeal temperature before surgery,after 30 minutes,60 minutes,90 minutes of surgery and at the end of surgery,the ratio of intraoperative nasopharyngeal temperature<36.0℃,the ratio of perioperative blood loss>300 mL,the occurrence of adverse reactions during the recovery period and the incision healing of patients in the two groups were compared.Results There was no statistically significant difference in the nasopharyngeal temperature before surgery and after 30 minutes of surgery of patients between the two groups(P>0.05).After 60 minutes,90 minutes of surgery and the end of surgery,the nasopharyngeal temperatures of patients in the anxiety group were lower than those in the non-anxietey group,and the differences were statistically significant(P<0.05).There were statistically significant differences in the nasopharyngeal temperature at different times of patients in the two groups(P<0.05).The ratios of patients with intraoperative nasopharyngeal temperature<36.0℃and perioperative blood loss>300 mL in the anxiety group were higher than those in the non-anxiety group,and the differences were statistically significant(P<0.05).The incidence of delayed awakening,shivering reaction,and poor postoperative incision healing in the anxiety group were higher than those in the non-anxiety group,with statistically significant differences(P<0.05).Conclusion Elderly patients undergoing radical mastectomy under general anesthesia combined with anxiety show obvious temperature drop after 60 minutes of surgery,and perioperative blood loss has significantly increased,with a higher incidence of intraoperative hypothermia,adverse reactions during recovery and poor postoperative incision healing,which should arouse clinical attention.

Metastasis is the main risk factor for poor prognosis of laryngeal squamous cell carcinoma (LSCC) .Chemokines are closely related to metastasis in the tumor microenvironment.CXCL8 is a cyto-kine-like secreted protein that plays key roles in the malignant development of a variety of tumors,but has not been elucidated in LSCC.In this paper,we elucidated the role of CXCL8 in LSCC cells and found miRNAs that targeted CXCL8,which may become new targets for the diagnosis and treatment of LSCC.Firstly,the GEPIA showed that CXCL8 was highly expressed in head and neck cancer (P<0.05).The real-time fluorescence quantification (qRT-PCR) found that CXCL8 was highly expressed in LSCC cells.The enzyme-linked immunoassay also found that CXCL8 was highly secreted in the superna-tant of LSCC cells (P<0.001) .Then,the CCK8 assay confirmed that knockdown of CXCL8 significant-ly inhibited the proliferation of FD-LSC-1 and AMC-HN8 cells (the average inhibition rate was 34.0％and 19.5％,respectively);The EdU assay also confirmed that knockdown of CXCL8 significantly inhibi-ted the proliferation of LSCC cells (P<0.05) .The transwell assay confirmed that knockdown of CXCL8 also significantly inhibited the migration and invasion of FD-LSC-1 cell (average inhibition rate was 40.0％,38.5％,respectively);Knockdown of CXCL8 also significantly inhibited the migration and inva-sion of AMC-HN8 cell (average inhibition rate was 37.5％,53.5％,respectively ) .The analysis of bioinformatics predicted that CXCL8 may be a target of miR-513b-5p.The dual luciferase reporter assay confirmed that miR-513b-5p could bind to the CXCL8-3'UTR.QRT-PCR assay also confirmed that over-expression of miR-513b-5p could decrease the 60％ of the CXCL8 expression (P<0.01) .Cell function rescue assays found that overexpressed of CXCL8 could effectively reversed proliferation,migration and invasion of LSCC cells weakened by miR-513b-5p (P<0.05) .In summary,miR-513b-5p inhibited the proliferation,migration and invasion of LSCC cells by targeting CXCL8.

Objective:To investigate the relationship and clinical significance of circulating tu-mor DNA(ctDNA)methylation with postoperative recurrence of thyroid cancer.Method:5 pa-tients with recurrent thyroid cancer in our hospital from March 2021 to April 2022 were selected as the observation group,and 2 healthy volunteers were selected as the control group.The level of ctDNA methylation in peripheral blood of the two groups was detected by Illumina high-throughput sequencing system.Gene ontology(GO)function analysis and Kyoto gene and genome encyclope-dia(KEGG)signal pathway analysis were carried out on the methylation region genes with signifi-cant differences through the DAVID gene function analysis platform.Result:There were 7787 dif-ferential ctDNA methylation sites between the two groups.2914(37.4％)were hypermethylation sites and 4873(62.6％)were low methylation sites.GO functional analysis showed that differentially methylated genes were enriched in molecular functions such as DNA-binding transcriptional acti-vation,cell-substrate adhesion,glycoprotein complex and other cellular components.KEGG path-way analysis showed that differentially methylated genes were enriched in thyroid carcinoma signal pathway,cell adhesion molecules,RAP1 signal pathway,RAS signal pathway,MAPK signal path-way and so on.Conclusion:ctDNA methylation may be involved in cancer recurrence in postop-erative patients with thyroid cancer.Monitoring the level of ctDNA methylation in peripheral blood may be an effective method to indicate the recurrence or metastasis of thyroid cancer and guide clinical diagnosis and treatment.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective:To analyse the distribution and antimicrobial resistance profile of clinical bacterial isolates in Anhui province.Methods:Surveillance data was collected from 83 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）during October 2022 to September 2023，to analyze the resistance of major bacteria to commonly used antibiotics and the detection of clinically common drug-resistant bacteria. The data was analyzed using WHONET 5.6 and SPSS 25.0 software.Results:A total of 201 647 clinical bacteria isolates were collected，with Gram-negative bacteria accounting for 74.8%（150 847/201 647）. The most prevalent Gram-positive bacterial strains were Staphylococus aureus（32.8%，16 648/50 800），followed by Staphylococcus epidermidis（14.0%，7 098/50 800）， Enterococcus faecalis（10.7%，5 458/50 800）， Enterococcus faecium（9.1%，4 613/50 800）and Staphylococcus hominis（7.4%，3 778/50 800）；the most prevalent Gram-negative bacterial strains were Escherichia coli（28.9%，43 577/150 847），followed by Klebsiella pneumoniae（22.5%，34 006/150 847）， Pseudomonas aeruginosa（14.7%，22 171/150 847）， Acinetobacter baumannii complex（9.4%，14 194/150 847）and Enterobacter cloacae（3.5%，5 235/150 847）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 39.5%（6 442/16 325）and 75.7%（12 343/16 312），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of vancomycin-resistant Enterococcus faecium and Enterococcus faecalis were 0.5% and 0.6%，respectively. The prevalence of carbapenem-resistant Escherichia coli and Klebsiella pneumoniae（CR-KPN）were 1.9%（805/42 956）and 11.7%（3 950/33 761），respectively. The resistance rate of CR-KPN to tigecycline was 3.9%. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CR-PAE）and Acinetobacter baumannii（CR-ABA）complex were 18.4%（3 936/21 447）and 62.9%（8 649/13 744），respectively，with low resistance rate to polycolistin B（6.9% and 1.7%，respectively）. The detection rates of MRSA，CR-ABA complex，third-generation cephalosporin-resistant Escherichia coli（CTX/CRO-R-ECO）and quinolone-resistant Escherichia coli（QNR-ECO）in northern Anhui were the highest（50.3%，72.9%，59.2% and 55.6%，respectively），which were higher than those in central and southern Anhui（ χ2=112.734 and 575.069，132.747 and 233.885，93.986 and 471.209，60.062 and 230.669，all P<0.001），and the detection rate in central Anhui was higher than that in southern Anhui（ χ2=278.671，29.219，207.395 and 80.267，all P<0.001）. The detection rates of CR-KPN and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（CTX/CRO-R-KPN）in central Anhui were the highest（15.5% and 33.3%，respectively），which were higher than those in northern and southern Anhui（ χ2=156.237 and 325.533，76.928 and 180.686，all P<0.001），and the detection rate in northern Anhui was higher than that in southern Anhui（ χ2=32.202 and 25.539， P<0.001）. The detection rates of CTX/CRO-R-ECO and QNR-ECO were the highest in the elderly（55.2% and 55.8%，respectively），which were higher than those in children，and young and middle aged adults（ χ2=23.906 and 120.575，376.404 and 196.612， P<0.001）. The detection rate of CTX/CRO-R-KPN in neonates was the highest（57.1%），which was significantly higher than that in children，adults and the elderly（ χ2=46.141，38.843 and 32.093， P<0.001），and the detection rate in the elderly was higher than that in children and adults（ χ2=13.604 and 13.471， P<0.001）. The detection rates of MRSA and MRCNS were the highest in children（42.8% and 77.8%，respectively），which were higher than those in adults（ χ2=21.766 and 10.704， P<0.001）. Except MRSA and vancomycin-resistant Enterococcus faecium and faecalis，the detection rates of major drug-resistant bacteria in tertiary hospitals were higher than those in secondary hospitals（ P<0.05 or <0.01）. Conclusion:In 2023，the situation of antimicrobial resistance in Anhui province was serious，especially in northern and central Anhui，and targeted drug resistance control measures should be taken according to the monitoring results. At the same time，it is necessary to pay attention to the bacterial resistance in the elderly，newborns and children，and strengthen the rational use of antibiotics by clinicians to curb the spread of drug-resistant bacteria.

Objective:To examine the application of a novel pedagogical approach multidimensional supportive psychological intervention(MSPI)in the clinical practice teaching of andrological nursing care.Methods:Using the Hamilton Depression Scale(HAMD),we assessed the psychology of 100 nursing interns about to enter clinical practice in the Department of Andrology from De-cember 2021 to December 2022.We equally randomized the subjects into an experimental and a control group,the former receiving MSPI and the latter trained on the conventional teaching model without any psychological support intervention.Results:Compared with the baseline,the HAMD scores were significantly decreased in the experimental group after intervention(12.4±2.1 vs 8.9±2.4,P＜0.01),but increased in the controls(13.1±1.8 vs 14.7±1.9,P＜0.01);the skill scores dramatically increased in the experimental group(82.6±4.7 vs 91.2±2.4,P＜0.01),but decreased in the control group after intervention(81.0±3.5 vs 80.4±2.7,P=0.28).Conclusion:MSPI can significantly enhance the learning enthusiasm of nursing students in a short period,re-duce their psychological stress and improve teaching outcomes.This approach,combining psychology with teaching,can also strength-en the mental resilience of nursing students and better confront them with future professional challenges.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective:To investigate the effects of treadmill training with different intensities on tendon-bone healing in rats after anterior cruciate ligament (ACL) reconstruction.Methods:Of the 99 adult male Sprague-Dawley (SD) rats used for this study, 90 were randomly selected to undergo ACL reconstruction with autologous caudal tendon. Two weeks after the surgical reconstruction, the 90 SD rats were randomized into a low-intensity group (group L, n=30) subjected to treadmill training at a speed of 12 m/min, a moderate-intensity group (group M, n=30) subjected to treadmill training at a speed of 18 m/min, and a free group (group C, n=30) subjected to free activities in the cage as a model control. The other 9 rats were set as a blank control (group N, n=9) subjected to no treatment at all. The treadmill training started at the end of 2 weeks after surgical reconstruction. Hematoxylin-eosin (HE), micro-CT analysis, mechanical testing, real-time quantitative polymerase chain reaction (qPCR) and western blot analysis were used to evaluate the quality of tendon-bone healing. Results:There were no significant differences in the areas of femoral and tibial lateral bone tunnels or the total bone volume ratio (BV/TV) between the 3 groups 2 weeks after surgery ( P > 0.05). At 4 weeks and 8 weeks after surgery, the areas of lateral tibial bone tunnel and lateral femoral tunnel in groups C, M and L showed a decreasing trend ( P < 0.05) while the BV/TV of lateral femoral tunnel and the BV/TV of lateral tibial tunnel in groups C, M and L showed an increasing trend ( P < 0.05). At 8 weeks after surgery, HE staining showed that the tendon-bone healing was the most mature in group L, followed by group M, and the least mature in group C, showing statistically significant differences ( P < 0.05). The stiffness and maximum failure load showed an increasing trend from group C to group M to group L to group N. The stiffness in group M and the stiffness and maximum failure load in groups N and L were significantly higher than those in group C ( P < 0.05). The relative mRNA expression levels of osteopontin (OPN) and collagen type Ⅱ alpha 1 chain gene (COL2 α 1), as well as the protein expression levels of osteocalcin, OPN, and COL2 α 1, showed an increasing trend from group C to group M to group L, showing significant differences between pairwise comparisons ( P < 0.05). Conclusions:Treadmill training starting at the end of 2 weeks after surgery is beneficial to tendon-bone healing and improves the biomechanical strength of the tendon-bone complex. Low-intensity mechanical stimulation is more conducive to new bone formation and collagen fiber remodeling in the tendon-bone complex.