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 predict the radiation impact of discharging wastewater containing uranium within the specified limit generated during the normal operation of a new production line at a nuclear fuel plant on the receiving water body and its downstream, and to provide a reference for the management of radioactive liquid effluent discharge from nuclear facilities. Methods Based on the technical guidelines for environmental impact assessment, literature on radiation environmental impact assessment, and data collected from on-site investigations, appropriate hydrological parameters and prediction models were selected to analyze and predict the variation pattern of radioactive nuclide uranium along the receiving water body and the radiation exposure of nearby residents. Results The maximum increase in uranium concentration in the receiving water body and its downstream caused by the discharge of uranium-containing wastewater was 1.14 μg/L. The maximum predicted concentration was 2.75 μg/L after adding the background data of the water body. The resulting maximum individual annual effective dose for the public was 1.49 × 10⁻⁴ mSv/a. Conclusion The maximum predicted uranium concentration in the receiving water body and its downstream is lower than the uranium concentration limit of 30 μg/L specified in the Standards for Drinking Water Quality (GB 5749-2022). The maximum individual annual effective dose for the public is much lower than the control value of 0.2 mSv/a specified in the Radiation Protection Regulations for Uranium Processing and Fuel and Fuel Manufacturing Facilities (EJ 1056-2018). The radiation impact is acceptable.

ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.

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.

Objective To investigate the survival time of patients diagnosed with sporadic Creutzfeldt-Jakob disease in China between 2020 and 2022 and explore the associated factors influencing survival.Methods A retrospective analysis was conducted on clinically diagnosed cases with complete information on sporadic Creutzfeldt-Jakob dis-ease diagnosed by the China Creutzfeldt-Jakob disease surveillance network from 2020 to 2022,baseline information of patients was obtained from the case files,telephone follow-up was used to obtain the treatment and survival status of the patients after the diagnosis,life-table method was used for estimating the survival rate,Kaplan-Meier method was used for calculating the median survival time and the 95％CI,Cox regression model was used for univariate and multivariate analyses were used to screen for factors influencing survival time.Results The median survival time of the 300 patients was 5 months(95％CI:4.165-5.835).Univariate analysis revealed that factors such as age at onset,regional distribution,presence of corticobasal or extrapyramidal symptoms as initial manifestations,number of initial symptoms,presence of corticobasal or extrapyramidal functional abnormalities,number of major clinical manifestations,presence of typical electroencephalogram findings,and use of nasal feeding during the course of the disease were potential factors influencing survival time(P＜0.1).Multivariate analysis showed that the risk of death in patients with onset age＞65 years was 1.350 times higher than in patients with onset age ≤65 years(P=0.021,95.0％CI:1.046-1.742).Patients without pyramidal or extrapyramidal dysfunction had a 0.674-fold lower risk of death compared to those with these symptoms(P=0.020,95.0％CI:0.483-0.939).Patients who did not receive nasal feeding had a 1.817-fold higher risk of death compared to those who did(P＜0.001,95.0％CI:1.406-2.349).Conclusion Age at onset,the presence of pyramidal or extrapyramidal functional abnormalities,and the use of nasal feeding during the disease course are factors influencing the survival time of pa-tients clinically diagnosed with sCJD.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Objective:To introduce the application of highly selective arterial indocyanine green angiography (hereinafter referred to as highly selective arterial angiography) in the design of anterolateral thigh free flap.Methods:This study was a retrospective observational study. From November 2023 to April 2024, 29 patients with wounds in extremities which were repaired by anterolateral thigh free flaps designed under the assistance of highly selective arterial angiography and met the inclusion criteria were admitted to the Department of Hand Surgery and Department of Wound Repair Surgery of Suzhou Ruihua Orthopedic Hospital, including 26 males and 3 females, aged 16 to 71 years. The wound area after debridement ranged from 8.0 cm×4.5 cm to 27.0 cm×16.0 cm. During the surgery, highly selective arterial angiography was used to assist in flap design. The fluorescence development range of the source arteries or perforators of flaps was observed. The blood supply range of the source arteries or perforators of flaps was determined based on the fluorescence development of the skin, and the excision position of the flap was adjusted. The flap incision area ranged from 9.0 cm×6.0 cm to 29.0 cm×16.0 cm. During the surgery, the number of highly selective arterial angiography, the type of source artery of perforators for puncture, and changes in the excision position of flaps were observed and recorded. After surgery, the blood supply and survival of flaps, the healing of wounds and the survival of skin grafts in the flap donor sites, and the angiography-related complications were observed.Results:All the 32 flaps of 29 patients were successfully excised. The highly selective arterial angiography was performed 37 times, including 13 cases of puncture of the oblique branch of the lateral circumflex femoral artery, 6 cases of puncture of the descending branch, 8 cases of double puncture of the oblique and descending branches, and 2 cases of puncture of arteries from other branches. During the surgery, the excision position of 28 flaps did not change, the excision position of 3 flaps moved towards proximal extremity of the thigh, and the excision position of 1 flap moved towards distal extremity of the thigh. All the flaps survived successfully after the surgery, and there was no partial necrosis of the flaps at the proximal or distal ends. The wounds in the flap donor sites healed, and all skin grafts survived. No angiography-related complications occurred.Conclusions:Highly selective arterial angiography can be used to determine the blood supply range of the source artery and perforators of the anterolateral thigh free flaps during the surgery. It can evaluate the blood supply of flaps more intuitively and objectively. Its application in assisting flap design can avoid partial flap necrosis caused by unreasonable preoperative design to a certain extent, and it is safe and reliable.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective:To understand the medical care of patients with sporadic Creutzfeldt-Jakob disease in China and its relationship with survival time.Methods:A retrospective analysis was performed on data of 150 patients with sporadic Creutzfeldt-Jakob disease diagnosed by China′s Creutzfeldt-Jakob Disease Surveillance Network during the period of January 1, 2021 to December 31, 2022 in this study, and telephone follow-up with family members was used to obtain information of the patients′ care, treatment, and survival after diagnosis. Survival was estimated by life table method, median survival time and 95% confidence interval ( CI) were calculated by Kaplan-Meier method, log-rank method was used to compare the difference in survival time between different groups, and multifactorial analysis was performed by COX proportional risk regression model regarding the influencing factors on patients′ survival time. Results:The median survival time of 150 patients with sporadic Creutzfeldt-Jakob disease was 6 months, and the cumulative lifetime survival rates at 2, 6, 12, and 18 months were 62%, 39%, 22%, and 9%, respectively. The result of univariate analysis showed that the differences in survival time between groups with the presence or absence of cortical blindness in the first symptom, the presence or absence of respiratory support (oxygen therapy), the presence or absence of adjunctive medication, and the presence or absence of tube feeding (nasogastric) were meaningful ( P<0.1). Multifactorial COX regression analysis showed that the risk of death in patients without adjuvant medication was 1.429 times higher than that in patients with adjuvant medication (95.0% CI: 1.014-2.014), and the risk of death in patients without tube feeding (nasal feeding) was 1.479 times higher than that in patients with tube feeding (nasal feeding) (95% CI: 1.052-2.081). Conclusions:Whether or not adjuvant medication is administered and whether or not tube feeding (nasogastric) is used are factors that affect survival time in patients with sporadic Creutzfeldt-Jakob disease, and the administration of appropriate adjuvant medication and tube feeding (nasogastric) may contribute to prolonging survival time in patients with sporadic Creutzfeldt-Jakob disease.

Objective:To investigate whether Lycopi Herba can serve as a viable alternative to Alismatis Rhizoma in the treatment of heart failure (HF) through network pharmacology and molecular docking techniques.Methods:TCMSP database was used to filter active components of Lycopi Herba and Alismatis Rhizoma. SwissTargetPrediction database was used to predict potential targets. HF-related targets were collected from databases such as GeneCards, OMIM, and DisGeNET. Venny 2.1.0 was used to draw a Venn diagram illustrating the intersection of targets between Lycopi Herba and Alismatis Rhizoma and HF. A protein-protein interaction (PPI) network was established using the String database, and key targets for the treatment of HF with Lycopi Herba and Alismatis Rhizoma were selected using Cytoscape 3.9.1 software to construct a component-intersection target network. The intersection targets were then analyzed for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways using Metascape. Molecular docking techniques were used to evaluate the affinity between active components and key targets.Results:Lycopi Herba primarily targeted pivotal proteins such as HMGCR and CYP27B1, while Alismatis Rhizoma had a broader target spectrum, including PPARA, JAK2, among others. Shared key targets between the two included HMGCR and ESR1, which were primarily involved in cholesterol synthesis and steroid hormone biosynthesis. Enrichment pathway analysis showed similarities in steroid metabolism between the two; Alismatis Rhizoma, however, was more likely to act through protein phosphorylation regulation and modulating the PI3K-Akt signaling pathway for HF treatment. A unique target for Lycopi Herba in treating HF was CHRM4, indicating its potential for blood pressure regulation and myocardial protection.Conclusions:Both Lycopi Herba and Alismatis Rhizoma exhibit certain commonalities in the treatment of HF, but Alismatis Rhizoma has a wider range of targets and signaling pathways, implying more extensive therapeutic potential. However, considering the nephrotoxicity of Alismatis Rhizoma, Lycopi Herba could be considered as an alternative treatment for HF, especially in patients with renal insufficiency or in the early stages of HF.