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.

Human taste is an important function of chemical perception. In recent years, brain taste evoked potentials have received more and more attention as a feasible tool for objective assessment of taste dysfunction. This paper reviews the main characteristics of gustatory evoked potential signals, the most widely used recording and processing techniques, and the scientific advances and relevance of gustatory evoked potentials in many important applications. In particular, taste evoked potentials are used to study the central effects of food intake and taste disorders, which may affect cognition and personality, or may be potential indicators of the onset or progression of neurological disorders. For these reasons, this paper presents and analyzes the latest scientific results and future challenges of using gustatory evoked potentials as an attractive solution to objective monitoring techniques for taste disorders. Human taste is an important function of chemical perception. In recent years, brain gustatory evoked potentials have received more and more attention as a feasible tool for objective assessment of taste dysfunction. This paper reviews the main characteristics of gustatory evoked potential signals, the most widely used recording and processing techniques, and the scientific advances and relevance of gustatory evoked potentials in many important applications. In particular, gustatory evoked potentials are used to study the central effects of food intake and taste disorders, which may affect cognition and personality, or may be potential indicators of the onset or progression of neurological disorders. For these reasons, this paper presents and analyzes the latest scientific results and future challenges of using gustatory evoked potentials as an attractive solution to objective monitoring techniques for taste disorders.
Humans ; Evoked Potentials ; Taste/physiology* ; Taste Perception/physiology*

Objective: To evaluate the immunogenicity and safety of co-administration with bivalent human papillomavirus (HPV) vaccine and hepatitis E virus (HEV) vaccine, so as to provide reference for optimizing the vaccination schedule. Methods: Females aged 18 to 25 years were recruited from September to October 2021 in Hengdian College of Film & Television in Zhejiang Province and randomly divided into the HPV+HEV group, the HPV group, and the HEV group. The vaccination procedures were one dose each at 0, 1, and 6 months. Immunogenicity was evaluated by detecting the geometric mean titers (GMT) of HPV16 IgG, HPV18 IgG, and/or HEV IgG antibodies before the first vaccination and one month after the full course of immunization, and comparing the difference in seroconversion, and the GMT ratio. The non-inferiority margin was set at a seroconversion difference of ≤5%, and the lower limit of the 95%CI of the GMT ratio was >0.5. Safety was evaluated by collecting conjunctive local reactions/events and systemic reactions/events within 7 days after each dose, non-conjunctive adverse events within 30 days after each dose, and serious adverse events throughout the observation period (0 to 7 months). Results: A total of 240 females were included, among whom 236 completed the full vaccination program, including 79 in the HPV+HEV group, 77 in the HPV group, and 80 in the HEV group. One month after the full course of immunization, the seroconversion rates of HPV16 IgG and HPV18 IgG antibodies in both the HPV+HEV group and the HPV group were 100%, and the differences in seroconversion rates were 0 (95%CI: -3.39%-+∞). The seroconversion rates of HEV IgG antibodies in both the HPV+HEV group and the HEV group were 100%, and the difference in seroconversion rates was 0 (95%CI: -3.27%-+∞). The GMT of HPV16 IgG and HPV18 IgG antibodies in the HPV+HEV group was 393.88 and 284.86 IU/mL respectively, which was not inferior to 489.39 and 341.24 IU/mL in the HPV group, and the GMT ratios were 0.80 (95%CI: 0.66-+∞) and 0.83 (95%CI: 0.68-+∞), respectively. The GMT of HEV IgG in the HPV+HEV group was 13.55 U/mL, which was not inferior to 12.72 U/mL in the HEV group, and the GMT ratio was 1.07 (95%CI: 0.92-+∞). The incidences of pain, pruritus, and induration in the HPV+HEV group were 54.43%, 21.52% and 40.51% respectively, which were significantly higher than 10.39%, 0, and 0 in the HPV group (all P<0.05). The incidences of redness/swelling, muscle pain/general weakness in the HPV+HEV group were 2.53% and 0, respectively, which were significantly lower than 12.50% and 16.25% in the HEV group (both P<0.05). Conclusion The co-administration of the bivalent HPV vaccine and HEV vaccine is not inferior to individual vaccination in terms of immunogenicity and safety, and the vaccination plan can be optimized through co-administration.

Objective To explore the current status and influencing factors of heart failure occurrence in patients with unstable angina pectoris (UAP), and to provide a scientific basis for developing individualized prevention and treatment strategies. Methods A total of 310 patients with UAP admitted to the Fifth People's Hospital from October 2021 to October 2024 were selected as study subjects. The current status of the patients' heart failure was statistically analyzed, and the patients were divided into heart failure group and non-heart failure group according to whether they had heart failure. Univariate and logistic multivariate regression analyses were used to analyze the risk factors for the occurrence of heart failure in patients with UAP. Results Among the 310 patients with UAP, 63 cases had heart failure, with an incidence rate of 20.32%. After logistic multivariate analysis, it was found that diabetes mellitus, hyperlipidemia, number of coronary artery lesions, homocysteine and plasma brain natriuretic peptide levels were risk factors of heart failure in patients with UAP, and hemoglobin level was a protective factor (OR: 2.010, 95%CI: 1.063-3.800; OR: 4.495, 95%CI: 2.228-9.067; OR: 2.408, 95%CI: 1.256-4.617; OR: 3.655, 95%CI: 1.812-7.372; OR: 4.693, 95%CI: 2.622-8.399; OR: 0.359, 95%CI: 0.205-0.628, P<0.05). Conclusion The coronary heart disease risk of heart failure is high in patients with UAP, and is affected by comorbidities, number of coronary artery lesions, homocysteine, and plasma brain natriuretic peptide levels. It is necessary to perform clinical screening and pay attention to such patients, and take active prevention and control interventions.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

BACKGROUND:The effect of electroacupuncture on the proliferation and differentiation of hippocampal oligodendrocytes in model mice with Alzheimer's disease remains poorly understood while demyelinating reaction related to oligodendrocytes is a common pathological reaction of Alzheimer's disease. OBJECTIVE:To investigate the effects and mechanism of electroacupuncture stimulation of"Baihui"(GV 20),"Fengfu"(GV 16)and bilateral"Shenshu"(BL 23)in Alzheimer's disease model mice on the proliferation and differentiation of endogenous neural stem cells to neurons and oligodendrocytes. METHODS:Forty 6-week-old SPF APP/PS1 transgenic male Alzheimer's disease model mice were randomly divided into electroacupuncture group(n=20)and Alzheimer's disease model group(n=20).Healthy male C57BL/6J mice of the same age were used as normal controls(n=20).The mice in the electroacupuncture group received electroacupuncture at"Baihui"(GV 20),"Fengfu"(GV 16)and bilateral"Shenshu"(BL 23)for 16 weeks(20 minutes/day and one day off a week).After electroacupuncture,Morris water maze was used to detect the changes of learning and memory function.Immunohistochemistry was utilized to detect hippocampal dentate gyrus β-amyloid senile plaques.The expression of BrdU/NeuN and BrdU/GALC in the hippocampal dentate gyrus was detected by immunofluorescence double labeling.Western blot assay was used to detect the expression levels of neuron specific protein Nestin and oligodendrocyte specific protein GALC in the hippocampus.mRNA and protein levels of Notch1 and Hes1 in the hippocampus were detected by real-time fluorescence quantitative PCR and western blot assay. RESULTS AND CONCLUSION:(1)Compared with the normal control group,the ability of learning and memory in the Alzheimer's disease model group decreased significantly;hippocampal dentate gyrus β-amyloid senile plaques increased significantly(P<0.01);the expression of GALC and Nestin in the hippocampus decreased significantly(P<0.01,P<0.05).(2)Compared with the Alzheimer's disease model group,the learning and memory ability of the electroacupuncture group was significantly increased;β-amyloid senile plaque in the hippocampal dentate gyrus decreased significantly(P<0.01).BrdU/NeuN double labeled positive cells in the hippocampal dentate gyrus and Nestin protein expression in the hippocampus increased significantly(P<0.01,P<0.05);GALC expression in hippocampus increased significantly(P<0.01).The mRNA and protein levels of Notch1 in the hippocampus were significantly increased(P<0.05,P<0.01).The mRNA and protein levels of Hes1 in the hippocampus decreased significantly(P<0.05).(3)These findings indicate that electroacupuncture at"Baihui"(GV 20),"Fengfu"(GV 16)and bilateral"Shenshu"(BL 23)of the Alzheimer's disease model infant mice can promote the proliferation and differentiation of endogenous neural stem cells to neurons and oligodendrocytes,which may be regulated through the Notch1/Hes1 pathway.

Objective: To investigate the association between physical activity frequency and anxiety/depression symptoms among college students in Jiangxi Province, so as to provide a basis for the physical and mental health development of adolescents. Methods: From July to October 2023, 5 761 college students from 11 colleges and universities in Jiangxi Province were selected by convenience sampling to conduct an online questionnaire survey regarding physical activity and mental health. Anxiety symptoms and depressive symptoms were assessed by General Anxiety Disorder Scale-7 and Patient Health Questionnaires-9, respectively. Contingency table was used to analyze the distribution of different anxiety and depression symptoms by physical activity frequency, and ordered Logistic regression was used to analyze the association between physical activity frequency with anxiety and depressive symptoms, and stratified analysis was performed based on gender. Results: The detection rate of anxiety symptoms of college students was 43.6% ( n =2 513), and the detection rate of depression symptoms was 63.9% ( n =3 682). There were significant differences in the detection rate of anxiety and depression symptoms among different gender and physical activity frequency groups ( χ 2=15.98, 106.32; 30.65, 150.88, P <0.05). The detection rates of severe anxiety and depression symptoms of male and female who never exercise were higher (severe anxiety: 6.1% for male and 5.2% for female, severe depression: 8.7% for male and 7.4% for female).The results of ordered Logistic regression analysis showed that compared with college students who never exercised, male college students who were physically active almost every day were negatively correlated with mild anxiety and moderate depression symptoms ( OR=0.53，0.33，P <0.05). In addition, male college students who do physical activity 3-4 times a week were negatively correlated with moderate depressive symptoms ( OR =0.43), while male college students who do physical activity 1-2 times a week were negatively correlated with severe depressive symptoms ( OR =0.21) ( P <0.05). Physical activity was negatively correlated with different degress of anxiety and depression symptoms in female college students (anxiety: OR =0.27-0.74, depression: OR =0.18-0.75, P < 0.05). Conclusions The frequency of physical activity in college students (especially female college students) is negatively correlated with anxiety and depressive symptoms. It is suggested to improve the frequency of physical activity to promote physical and mental health.

Objective To construct a visual intelligent recognition model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of O. hupensis robertsoni. Methods A total of 400 O. hupensis robertsoni and 400 Tricula snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 O. hupensis robertsoni and 300 Tricula snails. A total of 925 O. hupensis robertsoni images and 1 062 Tricula snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 O. hupensis robertsoni and 354 images from the remaining 100 Tricula snails served as an external test set. All acquired images were subjected to preprocessing, including cropping and resizing. Three data augmentation approaches were employed, including baseline, Mixup and Gaussian blurring, and model hyperparameters included two optimization algorithms of adaptive moment estimation (Adam) and stochastic gradient descent (SGD), two loss functions of focal loss and cross entropy loss, and two learning rate decay strategies of cosine annealing and multi-step. The intelligent recognition models of O. hupensis robertsoni and Tricula snails were constructed based on the EfficientNet-B4 model, and 7 training strategy groups were generated by combinations of different data augmentation approaches and hyperparameters. The performance of intelligent recognition models was tested with external test sets, and evaluated with accuracy, precision, recall, F1 score, loss, Youden’s index, and the area under the receiver operating characteristic curve (AUC) under different training strategies. Results The variation of loss values was comparable among intelligent recognition models with different data augmentation approaches. The Group 4 model constructed with Mixup and Gaussian blurring data augmentation approaches showed the optimal performance, with an accuracy of 90.38%, precision of 90.07%, F1 score of 89.44%, Youden’s index of 0.81 and AUC of 0.961 in the external test set. The accuracy of models using the SGD optimizer reduced by 29.16% as compared to those using the Adam optimizer (χ² = 81.325, P < 0.001), and the accuracy of models using the cross entropy loss function reduced by 0.80% as compared to the Group 4 model (χ² = 3.147, P > 0.05), while the accuracy of models using the multi-step learning rate decay strategy increased by 0.65% as compared to the Group 4 model (χ² = 0.208, P > 0.05). In addition, the model with the baseline + Mixup + Gaussianblurring data augmentation approach and hyperparameters of Adam optimizer, focal loss function and multi-step learning rate decay strategy showed the highest performance, with an accuracy of 91.03%, precision of 91.97%, recall of 88.11%, F1 score of 90.00%, Youden’s index of 0.82 and AUC values of 0.969 in external test set, respectively. Conclusions The intelligent recognition model of O. hupensis robertsoni based on EfficientNet-B4 model is accurate for identification of O. hupensis robertsoni and Tricula snails in Yunnan Province.

In 2009,the World Health Organization included snakebite on the list of neglected tropical diseases,acknowledging it as a common occupational hazard for farmers,plantation workers,and others,causing tens of thousands of deaths and chronic physical disabilities every year.This guideline aims to provide practical information to help clinical professionals evaluate and treat snakebite victims.These recommendations are based on clinical experience and clinical research evidence.This guideline focuses on the following topics:snake venom,clinical manifestations,auxiliary examination,diagnosis,treatments,and prevention.

Objective To investigate the prevalence of Echinococcus infections in small rodents around human residential areas in Yushu City, Qinghai Province in 2023, so as to provide insights into precision echinococcosis control. Methods One or two quadrats, each measuring 50 m × 50 m, were randomly assigned in Shanglaxiu Township and Longbao Township, Yushu City, Qinghai Province on June 2023, respectively, and 300 plate-type mouse traps, each measuring 12.0 cm × 6.5 cm, were assigned in each quadrat. Small rodents were captured during the period between 10 : 00 and 18 : 00 each day for 4 days. Then, all captured small rodents were identified and dissected, and liver specimens with suspected Echinococcus infections were subjected to pathological examinations. The Echinococcus cytochrome c oxidase 1 (cox1) gene was amplified using PCR assay, and the sequence of the amplified product was aligned to that was recorded in the GenBank to characterize the parasite species. In addition, a phylogenetic tree of Echinococcus was generated based on the cox1 gene sequence using the neighbor-joining method. Results A total of 236 small rodents were captured in Shanglaxiu and Longbao townships, Yushu City, including 65 Qinghai voles and 51 plateau pikas in Shanglaxiu Township, and 62 Qinghai voles and 58 plateau pikas in Longbao Township, and there was no significant difference in the constituent ratio of small rodents between the two townships (χ² = 0.294, P > 0.05). Seven plateau pikas and 12 Qinghai voles were suspected to be infected with Echinococcus by dissection, and pathological examinations showed unclear structure of hepatic lobules and disordered hepatocyte arrangement in livers of small rodents suspected of Echinococcus infections. PCR assay identified E. shiquicus DNA in 7 Qinghai voles, which were all captured from Shanglaxiu Township. Phylogenetic analysis showed that the cox1 gene sequence of Echinococcus in small rodents was highly homologous to the E. shiquicus cox1 gene sequence reported previously. Conclusion Plateau pika and Qinghai vole were predominant small rodents around human residential areas in Yushu City, Qinghai Province in 2023, and E. shiquicus infection was detected in Qinghai voles.