Objective:To analyze the volatile components in Violae herba and its mixed product Corydalis bungeanae herba, and distinguish Violae herba from Corydalis bungeanae herba. Methods:The volatile constituents in Violae herba and Corydalis bungeanae herba were extracted by solid phase micro-extraction(SPME),and then analyzed by GC-MS. Results:A total of 62 constituents were detected out,and among them,42 compounds were identified, which mainly were olefins, ketones and aldehydes. Totally 43 peaks were isolated from Violae herba,and among them,28 components were identified, which accounted for 66.93% of the total volatile oil. Totally 22 peaks were isolated from Corydalis bungeanae herba,and among them,17 components were identified,which accounted for 97.02% of the total volatile oil. Conclusion:The volatile components in Violae herba and its mixed product are different in their peak types of total ion chromatograms and chemical compositions with only three same components in total. The highest content of the volatile components in Violae herba is 2-pentanoyl furan (18.01%), and that in Corydalis bungeanae herba is 1-caryophyllene (46. 06%). This test method is fast and stable,which can be used to distinguish Violae herba from Corydalis bungeanae herba.

Eyelid tumor is a serious eye disease that leads to vision loss or even blindness.The similarity between benign and malignant characteristics makes it difficult for ophthalmologists lacking clinical experience to distinguish between them.To address the problem,a method(ResNet101_CBAM)based on two-stage target localization using fully convolutional one-stage object detection(FCOS)and residual network incorporating a dual attention mechanism is proposed to realize the automatic diagnosis of benign and malignant eyelid tumors.FCOS is used to automatically localize the overall contour of the orbit,removing the background and surrounding noise,and then finely localize the tumor lesion inside the orbit.The obtained lesion region is input into ResNet101_CBAM for the automatic diagnosis of benign and malignant eyelid tumors.The experimental results show that the average precision of the target localization algorithm for tumor lesion is 0.821,and that compared with ResNet101,ResNet101_CBAM improves the sensitivity and accuracy in eyelid tumor classification by 4.7%and 3.0%,respectively,indicating that the proposed model has superior performances in the automatic diagnosis of benign and malignant eyelid tumors.

Pancreatic duct stone is a sequel of chronic pancreatitis and may be found in the main ducts,side branches or parenchyma.These stones obstruct the pancreatic ducts and produce ductal hypertension,which leads to pain,the cardinal feature of CP.Surgical operation has been the preferred treatment of pancreatic duct stones in many domestic and external pancreatic medical centers.Lithotomy by longitudinal pancreatic duct incision and Roux-en-Y anastomosis of pancreatic duct to jejunum is the main and effective surgical procedure,while micro-surgery was also rational for the treatment of pancreatic duct stones.However,further studies with a larger sample size and longer follow-up duration are needed to improve the surgical technique and verify our initial results.

The oral microbial community is widely regarded as a latent reservoir of antibiotic resistance genes. This study assessed the molecular epidemiology, susceptibility profile, and resistance mechanisms of 35 methicillin-resistant Staphylococcus epidermidis (MRSE) strains isolated from the dental plaque of a healthy human population. Broth microdilution minimum inhibitory concentrations (MICs) revealed that all the isolates were nonsusceptible to oxacillin and penicillin G. Most of them were also resistant to trimethoprim (65.7%) and erythromycin (54.3%). The resistance to multiple antibiotics was found to be largely due to the acquisition of plasmid-borne genes. The mecA and dfrA genes were found in all the isolates, mostly dfrG (80%), aacA-aphD (20%), aadD (28.6%), aphA3 (22.9%), msrA (5.7%), and the ermC gene (14.3%). Classical mutational mechanisms found in these isolates were mainly efflux pumps such as qacA (31.4%), qacC (25.7%), tetK (17.1%), and norA (8.6%). Multilocus sequence type analysis revealed that sequence type 59 (ST59) strains comprised 71.43% of the typed isolates, and the eBURST algorithm clustered STs into the clonal complex 2-II(CC2-II). The staphyloccoccal cassette chromosome mec (SCCmec) type results showed that 25 (71.43%) were assigned to type IV. Moreover, 88.66% of the isolates were found to harbor six or more biofilm-associated genes. The aap, atlE, embp, sdrF, and IS256 genes were detected in all 35 isolates. This research demonstrates that biofilm-positive multiple-antibiotic-resistant ST59-SCCmec IV S. epidermidis strains exist in the dental plaque of healthy people and may be a potential risk for the transmission of antibiotic resistance.
Anti-Bacterial Agents ; therapeutic use ; Dental Plaque ; microbiology ; Female ; Humans ; Methicillin ; Methicillin-Resistant Staphylococcus aureus ; isolation & purification ; Staphylococcal Infections ; diagnosis ; Staphylococcus epidermidis ; isolation & purification

Objective To optimize the culture and fermentation conditions of the Penicillium aurantiocandidum Z12 strain, a fungal strain with molluscicidal actions against Oncomelania hupensis, so as to provide the basis for the research and development of molluscicidal active substances from the P. aurantiocandidum Z12 strain and its fermentation broth and large-scale fermentation. Methods The carbon source, nitrogen source and mineral salts were identified in the optimal culture medium for the P. aurantiocandidum Z12 strain with a single-factor experiment to determine the best fermentation condition for the P. aurantiocandidum Z12 strain. Factors that significantly affected the growth of the P. aurantiocandidum Z12 strain were identified using the Plackett-Burman design, and the best range of each factor was determined using the steepest climb test. Response surface analyses of temperature, pH value, seeding amount and liquid-filling quantity were performed using the Box-Behnken design to create a regression model for fermentation of the P. aurantiocandidum Z12 strain to identify the optimal culture medium. Results Single-factor experiment preliminarily identified the best culture medium and conditions for the P. aurantiocandidum Z12 strain as follows: sucrose as the carbon source at approximately 20 g/L, tryptone as the nitrogen source at approximately 5 g/L, K₂HPO₄ as the mineral salt at approximately 5 g/L, initial pH at approximately 8, temperature at approximately 28 °C, seeding amount at approximately 6%, and liquid-filling quantity at approximately 50 mL/100 mL. Plackett-Burman design showed that factors that significantly affected the growth of the P. aurantiocandidum Z12 strain included temperature (t = −5.28, P < 0.05), seeding amount (t = 5.22, P < 0.05), pH (t = −4.30, P < 0.05) and liquid-filling quantity (t = −4.39, P < 0.05). Steepest climb test showed the highest mycelial growth at pH of 7.5, seeding amount of 8%, and liquid-filling quantity of 40 mL/100 mL, and this condition was selected as the central point of response surface analysis for the subsequent optimization of fermentation conditions. Response surface analyses using the Box-Behnken design showed that the optimal conditions for fermentation of the P. aurantiocandidum Z12 strain included sucrose at 15 g/L, tryptone at 5 g/L, K₂HPO₄ at 5 g/L, temperature at 28.2 °C, pH at 7.5, seeding amount at 10%, and liquid-filling quantity at 35.8 mL/100.0 mL, resulting in 0.132 g yield of the P. aurantiocandidum Z12 strain. Conclusion The optimal culture condition for the P. aurantiocandidum Z12 strain has been identified, and the optimized culture medium and fermentation condition may effectively improve the fermentation yield of the P. aurantiocandidum Z12 strain.