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.

Purpose/Significance The paper discusses the application of artificial intelligence technology to the key entity recognition ofunstructured text data in the electronic medical records of lymphedema patients.Method/Process It expounds the solution of model fine-tuning training under the background of sample scarcity,a total of 594 patients admitted to the department of lymphatic surgery of Beijing Shijitan Hospital,Capital Medical University are selected as the research objects.The prediction layer of the GlobalPointer model is fine-tuned according to 15 key entity categories labeled by clinicians,nested and non-nested key entities are identified with its glob-al pointer.The accuracy of the experimental results and the feasibility of clinical application are analyzed.Result/Conclusion After fine-tuning,the average accuracy rate,recall rate and Macro_F1 ofthe model are 0.795,0.641 and 0.697,respectively,which lay a foundation for accurate mining of lymphedema EMR data.

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.

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.

High myopia(HM)is closely related to genetic factors.In recent years,with the wide application of whole-exome sequencing in the genetic research of HM,new susceptibility genes such as basigin,low-density lipoprotein receptor-related protein-associated protein 1,and prolyl 4-hydroxylase subunit alpha 2 have been identified one after another,invol-ving scleral remodeling,energy metabolism,cell apoptosis and other biological pathways.The said findings further reveal the pathogenesis of HM.This article reviews the research progress on 15 HM-related susceptibility genes and their variants and related signaling pathways identified by whole-exome sequencing in recent years.

Objective:To investigate the clinical features of primary intestinal lymphangiectasia (PIL).Methods:This study was a retrospective case series study. Fifty consecutive patients diagnosed with PIL in Department of Lymphatic Surgery, Beijing Shijitan Hospital, Capital Medical University from March 2019 to March 2021 were included and their clinical data was retrospectively reviewed. There were 20 males and 30 females included, with an age of ( M(IQR)) 14 (40) years (range:0 to 67 years). No patient had the family history. There were 26 children, including 9 males and 17 females, aged 0 (7) years (range:0 to 14 years). There were 24 adults, including 11 males and 13 females, aged 40 (26) years (range:20 to 67 years). The clinical manifestations and the results of laboratory examinations, gastrointestinal endoscopy, 99Tc m-labeled human albumin ( 99Tc m-HSA) scintigraphy, 99Tc m-DX scintigraphy, direct lymphangiography (DLG), histopathology, diet treatment, surgical intervention, and clinical symptom remission at discharge were collected. Comparisons between groups were performed using independent samples t-test, Mann-Whitney U test, or χ2 test. Results:Among the 50 cases of PIL, the main manifestations were edema (86.0%), diarrhea (76.0%), and abdominal effusion (48.0%). Lymphedema (36.0%) and chylous ascites (18.0%) were not rare in PIL patients. In 99Tc m-HAS scintigraphy, 95.9% (47/49) cases showed signs of intestinal protein loss, and 91.7% (44/48) ceses showed positive findings in 99Tc m-DX scintigraphy. In DLG, 97.8% (45/46) cases showed signs of thoracic duct obstruction, 82.6% (38/46) cases showed retroperitoneal lymphatic hyperplasia, and 23.9% (11/46) cases showed backflow of contrast agent into intestine. No significant difference was seen in gender, course of disease, clinical manifestation, serum level of albumin or globulin, lymphocyte count, positive rate of fecal occult blood and prevalence of lymphedema between adults and children (all P>0.05). Conclusions:The clinical presentations of PIL between children and adults had no significant difference. The diagnosis of PIL should be made according to clinical manifestation, 99Tc m-HAS scintigraphy, 99Tc m-DX scintigraphy, DLG, gastrointestinal endoscopy and pathological findings.

Objective:To investigate the clinical features of primary intestinal lymphangiectasia (PIL).Methods:This study was a retrospective case series study. Fifty consecutive patients diagnosed with PIL in Department of Lymphatic Surgery, Beijing Shijitan Hospital, Capital Medical University from March 2019 to March 2021 were included and their clinical data was retrospectively reviewed. There were 20 males and 30 females included, with an age of ( M(IQR)) 14 (40) years (range:0 to 67 years). No patient had the family history. There were 26 children, including 9 males and 17 females, aged 0 (7) years (range:0 to 14 years). There were 24 adults, including 11 males and 13 females, aged 40 (26) years (range:20 to 67 years). The clinical manifestations and the results of laboratory examinations, gastrointestinal endoscopy, 99Tc m-labeled human albumin ( 99Tc m-HSA) scintigraphy, 99Tc m-DX scintigraphy, direct lymphangiography (DLG), histopathology, diet treatment, surgical intervention, and clinical symptom remission at discharge were collected. Comparisons between groups were performed using independent samples t-test, Mann-Whitney U test, or χ2 test. Results:Among the 50 cases of PIL, the main manifestations were edema (86.0%), diarrhea (76.0%), and abdominal effusion (48.0%). Lymphedema (36.0%) and chylous ascites (18.0%) were not rare in PIL patients. In 99Tc m-HAS scintigraphy, 95.9% (47/49) cases showed signs of intestinal protein loss, and 91.7% (44/48) ceses showed positive findings in 99Tc m-DX scintigraphy. In DLG, 97.8% (45/46) cases showed signs of thoracic duct obstruction, 82.6% (38/46) cases showed retroperitoneal lymphatic hyperplasia, and 23.9% (11/46) cases showed backflow of contrast agent into intestine. No significant difference was seen in gender, course of disease, clinical manifestation, serum level of albumin or globulin, lymphocyte count, positive rate of fecal occult blood and prevalence of lymphedema between adults and children (all P>0.05). Conclusions:The clinical presentations of PIL between children and adults had no significant difference. The diagnosis of PIL should be made according to clinical manifestation, 99Tc m-HAS scintigraphy, 99Tc m-DX scintigraphy, DLG, gastrointestinal endoscopy and pathological findings.

Objective To explore the molecular mechanism of N6-methyladenosine(m6A)methylation mediated by methyltransferase 3(METTL3)in regulating lipopolysaccharide(LPS)-induced endothelial cell permeability changes.Methods Human umbilical vein endothelial cells(HUVECs)were cultured in vitro.HUVECs were treated with LPS 50,125,250,500,1 000,2 000 ng/ml for 24 h.METTL3 mRNA expression was detected by Real-time PCR.After HUVECs were intervened with 500 ng/ml for 24 h,the methylation level of m6A was detec-ted,and cell permeability was measured by cell permeability test.Real-time PCR and Western blot were used to detect mRNA and protein expression of intercellular junction proteins(Claudin-5,Occludin and VE-caherin).METTL3 overexpressed stable cell lines were constructed to measure the changes of m6A methylation level and per-meability of endothelial cells during METTL3 overexpression.Results Compared to the control group,LPS inhibi-ted the expression of HUVECs METTL3 mRNA,decreased the methylation of m6A,increased the cell permeabili-ty,and decreased the mRNA and protein expression of intercellular junction proteins(Claudin-5,Occludin and VE-Caherin).When METTL3 was overexpressed,the m6A methylation levels of endothelial cells were enhanced,and the increase of endothelial cell permeability induced by LPS was reversed.Conclusion METTL3-mediated m6A methylation can improve the permeability of endothelial cells induced by sepsis.

Glioblastoma(GBM)stands as one of the most aggressive brain tumors,and its pharmacological therapy is severely limited due to the presence of the blood-brain barrier(BBB).Nose-to-brain drug delivery has emerged as a promising approach for directly targeting the central nervous system(CNS)by circumventing the BBB.The nasal cavity is anatomically partitioned into the vestibular,olfactory,and respiratory regions.Nanomedicines can efficiently transport to the CNS through the olfactory pathway of the olfactory region and the trigeminal nerve pathway of the respiratory region.In recent years,nanodelivery platforms in nasal administration for treating GBM have garnered widespread attention,primarily involving polymers,liposomes,inorganic metal nanoparticles,and so on.The advancement of these technologies presents novel avenues and selections for overcoming the BBB,enhancing drug delivery efficacy,and improving the prognosis of GBM patients.

Objective:To investigate the predictive value of left ventricular global longitudinal peak strain (GLPS) for the prognosis of septic patients.Methods:A prospective cohort study was conducted. Patients diagnosed with sepsis and admitted to the intensive care unit (ICU) of the First Affiliated Hospital, Sun Yat-sen University from December 2018 to November 2019 were enrolled. The patient characteristics, cardiac ultrasound parameters [left ventricular ejection fraction (LVEF), right ventricular ejection fraction (RVEF), four-dimensional ejection fraction (4DEF), GLPS] and cardiac biomarkers [N-terminal pro-brain natriuretic peptide (NT-proBNP), cardiac troponin T (cTnT)] within 24 hours of ICU admission, organ support therapies, severity of illness, and prognostic indicators were documented. The differences in clinical parameters between patients with varying outcomes during ICU hospitalization were assessed. Pearson correlation analysis was employed to explore the correlation between GLPS and other cardiac systolic parameters, as well as the associations between various cardiac systolic parameters and sequential organ failure assessment (SOFA) score. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive capacity of cardiac ultrasound parameters and cardiac biomarkers for death during ICU hospitalization in septic patients.Results:A total of 50 septic patients were enrolled, with 40 surviving and 10 dying during ICU hospitalization, resulting in a mortality of 20.0%. All patients in the death group were male. Compared with the survival group, the patients in the death group were older, had a higher prevalence of diabetes mellitus, and received continuous renal replacement therapy (CRRT) more frequently, additionally, they exhibited more severe illness and had longer length of ICU stay. The levels of GLPS and cTnT in the death group were significantly elevated as compared with the survival group [GLPS: -7.1% (-8.5%, -7.0%) vs. -12.1% (-15.5%, -10.4%), cTnT (μg/L): 0.07 (0.05, 0.08) vs. 0.03 (0.02, 0.13), both P < 0.05]. However, no statistically significant difference was found in other cardiac ultrasound parameters or cardiac biomarkers between the two groups. Pearson correlation analysis revealed a negative correlation between GLPS and LVEF ( r = -0.377, P = 0.014) and 4DEF ( r = -0.697, P = 0.000), while no correlation was found with RVEF ( r = -0.451, P = 0.069). GLPS demonstrated a positive correlation with SOFA score ( r = 0.306, P = 0.033), while LVEF ( r = 0.112, P = 0.481), RVEF ( r = -0.134, P = 0.595), and 4DEF ( r = -0.251, P = 0.259) showed no significant correlation with SOFA score. ROC curve analysis indicated that the area under the ROC curve (AUC) of GLPS for predicting death during ICU hospitalization in septic patients was higher than other cardiac systolic parameters, including LVEF, RVEF, and 4DEF, as well as cardiac biomarkers NT-proBNP and cTnT (0.737 vs. 0.628, 0.556, 0.659, 0.580 and 0.724). With an optimal cut-off value of -14.9% for GLPS, the sensitivity and negative predictive value reached to 100%. Conclusion:GLPS < -14.9% within 24 hours of ICU admission in septic patients indicated a reduced risk of death risk during ICU hospitalization, while also correlating with the severity of organ dysfunction in this patient population.