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 evaluate the safety, effectiveness and feasibility of robotic-assisted kidney transplantation (RAKT). Methods Clinical data of 16 patients who underwent kidney transplantation were collected. Among them, 8 recipients received RAKT (RAKT group) and 8 cases underwent open kidney transplantation (OKT) with the contralateral kidney from the same donor (OKT group). Perioperative status and the recovery of renal allograft function were compared between two groups. Results All patients successfully completed the surgery. In the RAKT group, no patient was converted to open surgery. The operation time in the RAKT group was longer than that in the OKT group (P=0.015). No significant differences were observed in the serum creatinine levels before surgery and upon discharge between two groups (both P>0.05). In the OKT group, one recipient developed delayed graft function (DGF), and the remaining recipients did not experience perioperative complications. No significant difference was noted in the short-term recovery of renal allograft function between two groups (P>0.05). Conclusions Postoperative recovery of the recipients in the RAKT group is equivalent to that of their counterparts in the OKT group. RAKT is a safe and effective procedure for the team expertise in kidney transplantation.

Objective To investigate the value of 4D-CTA combined with SDF-1a/CXCR4 signaling pathway in evaluating the risk of intracranial aneurysm rupture.Methods Fifty patients with unruptured intracranial posterior communicating aneurysms and 50 patients with ruptured intracranial posterior communicating aneurysms were divided into unruptured group 1 and ruptured group 1.All patients underwent 4D-CTA examination and serumSDF-1alevel was detected.Non-ruptured group 1 was followed up for 12 months(After conservative treatment),on this basis,patients with ruptured posterior communicating aneurysms were included in ruptured group 2,and patients with unruptured posterior communicating aneurysms were included in non-ruptured group 2.Results The AUC values of Wn,AR,L,SR,SDF-1a and their combinations in diagnosing ruptured intracranial posterior communicating aneurysms were all greater than 0.70.The AUC values of Wn,AR,L,SR,SDF-1a and their combinations in predicting ruptured intracranial posterior communicating aneurysms in ruptured group 2 were all greater than 0.70.Conclusion 4D-CTA combined with SDF-1acan effectively distinguish ruptured intracranial posterior communicating aneurysms and predict the risk of rupture.

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.

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.

Blinding is an important means to control and reduce measurement bias in clinical research， and blinding assessment is the main method to measure the success of the blinding method. By summarizing the current situation of blinding assessment in randomized controlled trials （RCT） of acupuncture， it was found that the report rate of blinding assessment by acupuncture RCT was relatively low， and the studies reporting blinding assessment had several problems， such as incomplete assessment individuals， unreasonable assessment questionnaires， and unscientific analysis methods， and the setting of the assessment time point is controversial. Given the above problems， this paper discussed the key elements of blinding assessment individuals， assessment questionnaires， assessment time points， and analysis methods. It is suggested that blinding assessment should be carried out on all blinded participants and personnel in the study； the assessment questionnaire should be designed by direct inquiry， with responses designed using three or more categorical options that include an "unclear" option； the early stage of the trial should be taken as the mandatory time point for assessment， integrating the evaluation index of the James blinding index and the Bang blinding index， in order to standardize the application of blinding assessment in acupuncture RCT and improve the quality of acupuncture clinical research.

Objective To evaluate the molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against of Oncomelania hupensis snails in snail habitats in marshland areas. Methods From September to October, 2022, marshlands were sampled from Dantu District, Zhenjiang City, Jiangsu Province as study areas, and assigned into four groups, of approximately 3 000 m² per group. In Group A, environmental cleaning was performed, followed by spraying 5% niclosamide ethanolamine salt granules with knapsack sprayers at a dose of 40 g/m², and in Group B, 5% niclosamide ethanolamine salt granules were sprayed with knapsack sprayers at a dose of 40 g/m² without environmental cleaning, while in Group C, environmental cleaning was conducted, followed by spraying 5% niclosamide ethanolamine salt granules with drones at a dose of 40 g/m², and in Group D, 5% niclosamide ethanolamine salt granules were sprayed with drones at a dose of 40 g/m² without environmental cleaning. Then, the study areas in each group were equally divided into six blocks, with Block 1 for baseline surveys and blocks 2 to 6 for snail surveys 1, 3, 5, 7, 14 days following chemical treatment. The mortality of snails and the reduction of the density of living snails were calculated. Results A total of 132 frames were surveyed during the period from September to October 2022, and the occurrence of frames with living snails and means density of living snails were 61.36% (81/132) and 1.58 snails/0.1 m², respectively. The overall mortality rates of snails were 43.02% (77/179), 38.69% (77/199), 47.78% (86/180) and 31.02% (58/187) 14 days following chemical treatment in groups A, B, C and D, respectively (χ² = 11.646, P < 0.05), and there were differences detected in the snail mortality between group A and D, and between groups C and D (both P_adjusted values < 0.05). The adjusted mortality rates of snails were 37.42%, 36.07%, 38.85% and 40.40% in groups A, B, C and D 14 days post-treatment, and the density of living snails decreased by 48.10%, 63.29%, 67.09% and 69.62% 14 days post-treatment relative to pre-treatment, respectively. Conclusions Chemical treatment with drones is feasible for O. hupensis snail control in marshland areas; however, the molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones is comparable to spraying chemicals manually in marshland areas regardless of environmental cleaning.

Objective:To investigate the clinical characteristics and prognostic factors of extracranial malignant rhabdoid tumors (eMRTs) in children.Methods:In this retrospective case series study, a retrospective analysis was conducted on clinical data of 21 eMRT patients admitted to Children′s Hospital of Nanjing Medical University from April 2018 to January 2023 and followed up until October 30, 2023.Patients were grouped according to their gender, age, tumor origin site, clinical staging, initial lactate dehydrogenase (LDH) level, extent of tumor resection, chemotherapy regimen, and radiotherapy.The Kaplan-Meier method was used to calculate the 2-year progression-free survival rate (PFS) and overall survival rate (OS) of the patients, and the Cox regression model was used to analyze the prognostic factors.Results:Among the 21 patients with eMRTs, there were 7 males and 14 females, with the age of onset of 24 (3-138) months.Immunohistochemistry showed that all tumor tissues of the patients did not secrete integrase interactor 1 (INI-1).Among them, 13 cases originated from the kidney, and 8 cases originated from extrarenal non-central sites.At the time of diagnosis, there were 4 cases in clinical stages Ⅰ-Ⅱ, 17 cases in stage Ⅲ-Ⅳ.Thirteen patients underwent complete tumor resection surgery, 7 underwent partial resection, and 1 only underwent biopsy.Among the 13 cases of renal rhabdoid tumors, 8 cases were treated with the AVDC (Epirubicin, Vincristine, Actinomycin D, Cyclophosphamide)/ICE (Ifosfamide, Carboplatin, Etoposide) regimen, and 5 cases were treated with the protocol for nephroblastoma; among the 8 cases of extrarenal non-central rhabdoid tumors, 5 cases were treated with the AVDC/ICE regimen, and 3 cases were treated with the commonly used protocol for soft tissue sarcoma.Thirteen patients received radiotherapy.One patient received consolidation therapy with autologous stem cell transplantation following chemotherapy and radiotherapy.As of October 2023, there were 14 survivors and 7 deaths.The overall 2-year PFS and OS were 56%(95% CI: 35.7%-88.5%) and 62%(95% CI: 43.2%-89.4%), respectively.Among the patients who received the AVDC/ICE alternating chemotherapy regimen, the 2-year PFS and OS were 73%(95% CI: 47.0%-100.0%) and 79% (95% CI: 56.4%-100.0%), respectively.Univariate Cox regression analysis showed that complete tumor resection, the AVDC/ICE alternating chemotherapy, and radiotherapy were associated with a better prognosis in children (all P≤0.05).Multivariate Cox regression analysis showed that whether to receive radiotherapy was an independent risk factor affecting the overall survival in children. Conclusions:eMRTs are more common in infants and young children, with high malignancy and invasiveness.There is currently no standard treatment.Complete tumor resection combined with the AVDC/ICE alternating chemotherapy and radiotherapy may improve the prognosis of children with eMRTs.

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.