Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Objective To establish a method for simultaneous determination of HPLC fingerprint and multi-target ingredients in Atractylodis Macrocephalae Rhizoma(AMR),in order to provide reference for its quality control.Methods HPLC-DAD multi-wavelength switching method was used to establish fingerprint of AMR,similarity evaluation combined with hierarchical clustering analysis(HCA),principal components analysis(PCA)and discriminant analysis of partial least squares(PLS-DA)were used to carry out chemometric study.The contents of differential component such as atractylenolide Ⅰ,Ⅱ,Ⅲ and atractylon were determined simultaneously.Results The HPLC fingerprint of 37 batches of AMR was established.Nine common peaks were marked,and 4 of them were identified as atractylon,atractylenolide Ⅰ,Ⅱ,Ⅲ.The similarity degrees were between 0.539 and 0.996,the quality of AMR from different origin and different batches varies greatly.Atractylon,atractylenolide Ⅰ,Ⅱ,Ⅲ and one unknown component(peak 9)are the important factors affecting the quality of AMR.Conclusion The combination methods of HPLC fingerprint and simultaneous determinations of multiple components are simple,stable,accurate and reliable,which can provide reference for the quality evaluation of AMR and the improvement of quality standard,as well as lay a foundation for the basic research of its pharmacodynamic substances and related compound.

Objective To evaluate the stability and aesthetic effect of a xenogeneic collagen matrix(mucograft)on achieving an adequate keratinized mucosa width(KMW)around implants and to provide a reference basis for the clini-cal application of xenogeneic collagen matrix materials.Methods The hospital ethics committee approved the study protocol,and the patients provided informed consent.Twenty patients with a KMW＜2 mm at the buccal implant site who were treated in Binzhou Medical University Affiliated Yantai Stomatological Hospital from July 2020 to September 2022 were included,and a total of 36 implants were included.The mean age of the patients was(52.0±10.4)years,of which 18 were females and 2 were males.They were divided into a free gingival graft group(FGG,control group)and a xenogeneic collagen matrix group(test group)according to different graft materials.The incremental effect of the KMW on the buccal side of the implant and the mucosal shrinkage rate was measured at 1 month and 3 months after the opera-tion.The mucosal scar index(MSI)was evaluated after the operation.Results At 3 months postoperatively,the KMW was(3.67±1.06)mm in the control group and(2.96±0.98)mm in the test group,and the difference was statistically significant(t=2.076,P＜0.05).The KMW shrinkage rate was(33.34±16.30)％in the test group and(22.05± 15.47)％in the control group at 1 month postoperatively and(51.95±12.60)％in the test group and(37.44±16.30)％in the control group at 3 months postoperatively,with statistically significant differences between the two groups at the same time points(P＜0.05).Three months after surgery,the test group showed significantly better outcomes than the control group in terms of the five scar indicators(scar width,scar convexity,scar color,scar trace,and overall appear-ance),and the difference was statistically significant(P＜0.05).Conclusion Xenogeneic collagen matrix can increase the peri-implant KMW and achieve a more natural and coordinated soft tissue aesthetic effect but with a higher shrink-age rate.

Machine Learning ; Image Processing, Computer-Assisted/methods*

This study examined 191 pregnant women before delivery in an obstetrics and gynecology clinic in North Gyeongsang Province from May to September 2016 by using a questionnaire after obtaining informed consent for voluntary participation in the study. The study was performed to investigate the association of depression with sociodemographic characteristics, pregnancy-related characteristics, social support, sleep quality and Oral Health Impact Profile (OHIP) in pregnant women. The prevalence of depression among the pregnant women was 25.1% in the healthy group and 74.9% in the depression group. The depression level was significantly higher in women in the depression group who were unsatisfied with their marriage life, had no occupation, had lower social support, had poor sleep quality and had higher OHIP scores. The results of the logistic regression analysis indicated that, the risk ratio for more severe depression was significantly higher in the group with no experience of miscarriage and induced childbirth than in the group with childbirth experience. Conversely, the risk ratio for more severe depression was significantly lower in the group with high social support than in the group with low social support. Depression in the respondents significantly positively correlated with sleep quality and OHIP score but significantly negatively correlated with social support. The multiple regression analysis revealed that the depression level was significantly higher by 22.3% among pregnant women with lower marital satisfaction, no childbirth experience, lower social support and higher OHIP scores. In summary, depression was related to marital satisfaction, childbirth experience, social support, and OHIP score, among others, in pregnant women in this study. Therefore, further investigation is warranted to construct programs and measures that will help build positive thinking by designing and verifying a three-dimensional study model by taking into consideration various variables to reduce the incidence of depression in pregnant women.
Abortion, Spontaneous ; Depression* ; Female ; Gynecology ; Humans ; Incidence ; Informed Consent ; Logistic Models ; Marriage ; Obstetrics ; Occupations ; Odds Ratio ; Oral Health* ; Parturition ; Pregnancy ; Pregnant Women* ; Prevalence ; Sociological Factors ; Surveys and Questionnaires ; Thinking

Objective To study the effect of rhodiola crenulata compound on serum corticosterone and myocardial glucocorticoid receptor ( GR) in rats exposed high sustained +Gz.Methods Seventy-two healthy SD rats were randomly divided into six groups: blank control group, stress control group, +10 Gz stress group and low, medium, high dose drug group, with twelve rats in each.20 mL/kg menstruum was fed to each rat once per day for 14 days.Low, medium and high dose drug group were fed with rhodiola crenulata compound at doses of 0.75 g/kg, 1.5 g/kg and 3.0 g/kg respectively, the other three groups were fed with equal volume saline.Rats were exposed to high +Gz in 15th day.The concentration of corticosterone in the serum of each group rats was detected with ELISA. Western blot was used to detect the expressions of GR in the myocardium of each group rats .Results The content of corticosterone was significantly elevated in +10Gz stress group, while the expression of GR in the myocardium was markedly declined (P <0.01,P <0.05).However, compound preconditioning could decrease concentration of corticosterone in the serum and enhance the expression of GR in the myocardium from rats after +10 Gz exposure. The corticosterone concentration of medium and high dose drug groups was significantly lower and the level of GR expression in the myocardium was significantly higher than that of +10 Gz stress group ( P <0.05 , P <0.01 ) . Conclusion Rhodiola crenulata compound preconditioning could regulate the concentration of corticosterone in the serum and the level of GR expression in the myocardium of the rats exposed +10 Gz, which may be related with its protective effect on high sustained +Gz-induced injury of myocardium.

This article was aimed to study the chemical constituents in Tragopogon porrifolius L. and their activities by pharmacological experiment in order to provide evidences in the further development of the usage of this medical resource. Under the guidance of pharmacological activities screening results, compounds were isolated by repeated silica gel, macroporous resin column chromatography and HPLC. Their structures were identified by means of UV, IR, MS, NMR and other chemical evidences. The results showed that T. porrifolius L. (i.e., n-butanol extraction part) can increase survival time of mice in the oxygen-lacking state (P < 0.05). Two compounds of biological alkaloids, which were identified as 1,2,3,4-tetrahydro-β-carboline-3-carboxylic acid (Ⅰ) and adenine (II), were isolated. It was concluded that compound Ⅰ and II were obtained from T. porrifolius L. for the first time.

This paper was aimed to analyze and study the process of Turmeric fine pulverizing; and the powder properties of Turmeric ultra-micro powder after the process. Based on d50, the powder properties of Turmeric ultra-micro powder were summarized by using orthogonal design to select the optimal Turmeric fine pulverizing. Compari-sons were made on powder properties, such as exterior characters, IR spectra, fluidity and hygroscopicity before and after fine pulverizing. The results showed that optimal fine pulverizing process was determined based on orthogonal design. The conditions were that the material was 1 200 g, with water of 5.5% and crushing for 40 min. Compari-son of powder properties of Turmeric powders before and after fine pulverizing showed that as the diameter of the particle decreased. Turmeric particle gradually showed signs of aggregation. At the same time, granular sensation disappeared;the color turned lighter;powder became finer;fluidity was reduced;balanced hygroscopic capacity el-evated. Although the chemical composition and molecular structure had not changed;initial velocity and capacity of hygroscopicity increased, acceleration declined. It was concluded that Turmeric fine pulverizing was a convenient, reliable and practical process, with small size of particle. It can be used for Turmeric fine pulverizing. The compre-hensive evaluation showed that ultrafine powder four as the optimum powder.

To evaluate the ability of microbial mix-culture fermenting syngas into ethanol, we studied the microbial mix-cultures A-fm 4, G-fm 4, Lp-fm 4 and B-fm 4 obtained by enrichment and compared with Clostridium autoethanogenum DSM10061 with 10% and 25% inoculation size. The results show that, with 10% inoculation size, the ethanol production of A-fm 4, G-fm 4, Lp-fm 4, B-fm 4 and C. autoethanogenum were 349.15, 232.16, 104.25, 79.90 and 26.99 mg/L respectively. With 25% inoculation size, the ethanol production were 485.81, 472.73, 348.58, 272.52 and 242.15 mg/L respectively. Higher inoculation size will increase the production of ethanol. The tested mix-culture exhibited a significant yield advantage compared with the maximum production of C. autoethanogenum reported in the literature (259.64 mg/L). This research provided a practical method to improve ethanol production from syngas.
Bacteria ; classification ; metabolism ; Clostridium acetobutylicum ; metabolism ; Ethanol ; isolation & purification ; metabolism ; Fermentation ; Gases ; metabolism ; Hydrogen ; metabolism

OBJECTIVE:To establish a reasonable return level for Chinese pharmaceutical industry and to study the return level of the domestic pharmaceutical industry from 2000 to 2005.METHODS:In view of the financial data of Chinese pharmaceutical industry in the statistical yearbook from 2001 to 2006,the return level for Chinese pharmaceutical industry was established based on its risk level using the principle of "risk-return equilibrium",and the rationality of the return level of Chinese pharmaceutical industry over the 6 years was validated as well.RESULTS:Over the 6 years,the average lowest anticipating rate of return for the Chinese medicine industry was 7.72% and the actually average assets income rate stood at 8.53%,i.e.the average abnormal return rate over the 6 years was 0.81%.CONCLUSION:The return rate of Chinese pharmaceutical industry corresponds to the risk level as well as the reasonable return level.