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 cardiac involvement in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) using echocardiography combined with electrocardiography. Methods A retrospective analysis was performed on the detailed medical records of AAV patients treated in Jining First People’s Hospital between January 2020 and December 2024. Eighty patients were enrolled in the AAV group, and the risk of heart disease was compared between the AAV group and a control group with 80 subjects matched for age, sex, and cardiovascular disease risk factors. Results Electrocardiographic abnormalities were observed in 78.75% of patients in the AAV group, while significant electrocardiographic abnormalities only occurred in symptomatic patients in the control group. There were no differences in left atrial enlargement or interventricular septal thickening between the AAV group and the control group. The overall left ventricular systolic function in the AAV group was lower than that in the control group (8.75% vs. 0). The incidence of reduced diastolic function in the AAV group was significantly higher than that in the control group (37.5% vs. 15%). The incidence rates of tricuspid regurgitation, mitral regurgitation, aortic regurgitation, and pericardial effusion in the AAV group were significantly higher than those in the control group. Pericardial thickening, aortic stenosis, pulmonary hypertension, and rare periaortic granulomas were found in the AAV group, but not in the control group. Conclusion Echocardiography and electrocardiography are important examination methods for evaluating cardiac involvement in AAV. These methods have key roles in disease screening, diagnosis and treatment, follow-up, and prognosis judgment.

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.

GI (GIGANTEA) is one of the output key genes for circadian clock in the plant. The JrGI gene was cloned and its expression in different tissues was analyzed to facilitate the functional research of JrGI. RT-PCR (reverse transcription-polymerase chain reaction) was used to clone JrGI gene in present study. This gene was then analyzed by bioinformatics, subcellular localization and gene expression. The coding sequence (CDS) full length of JrGI gene was 3 516 bp, encoding 1 171 amino acids with a molecular mass of 128.60 kDa and a theoretical isoelectric point of 6.13. It was a hydrophilic protein. Phylogenetic analysis showed that JrGI of 'Xinxin 2' was highly homologous to GI of Populus euphratica. The result of subcellular localization showed that JrGI protein was located in nucleus. The JrGI, JrCO and JrFT genes in female flower buds undifferentiated and early differentiated of 'Xinxin 2' were analyzed by RT-qPCR (real-time quantitative PCR). The results showed that the expression of JrGI, JrCO and JrFT genes were the highest on morphological differentiation, implying the temporal and special regulation of JrGI in the differential process of female flower buds of'Xinxin 2'. In addition, RT-qPCR analysis showed that JrGI gene was expressed in all tissues examined, whereas the expression level in leaves was the highest. It is suggested that JrGI gene plays a key role in the development of walnut leaves.
Juglans/genetics* ; Phylogeny ; Plant Leaves ; Cloning, Molecular ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism*

Objective To investigate the changes of functional brain connectivity over multiple frequency bands in resting-state electroencephalography (EEG) for lower limb amputation patients. Methods Resting-state EEG was collected from 18 lower limb amputees and 22 healthy controls from November, 2020 to June, 2021. Functional connectivity matrix was constructed with phase-locked values (PLV), and compared between groups. Results The functional connectivity was weaker in the amputees than in the controls on α band (t = 3.433, P = 0.001) and β band (t = 3.806, P = 0.001), and there was no significant difference on δ band (t = 1.429, P = 0.161) and θ band (t = 1.211, P = 0.233). Conclusion EEG functional connectivity weakens in lower limb amputees in on the α and β band, which results in neuroplasticity of multiple brain regions, not only for limb-respond cortex, but also for frontal, temporal and occipital cortices.

Objective:To retrospectively analyze the failure patterns and outcomes of patients with locally advanced hypopharyngeal squamous cell carcinoma (HPSCC) after undergoing induction chemotherapy (IC) followed by definitive radiotherapy.Methods:For patients with locally advanced HPSCC who were treated with IC and definitive radiotherapy from August 2008 to December 2019, their data were collected from the medical records system, and their clinical characteristics, failure patterns, and survival were retrospectively analyzed.Results:A total of 116 eligible patient with squamous cell carcinoma were included in this study. with a median age of 59 (39-79), and 3, 3, 60, and 50 of them had stage Ⅱ, Ⅲ, Ⅳ A, and Ⅳ B HPSCC, respectively. Among these patients, 81 received 1~2 cycles of IC, and 35 received 3-4 cycles of IC. After treatment with IC, 54, 13, and 49 patients received concurrent chemoradiotherapy, radiotherapy combined with targeted therapy, and radiotherapy alone, respectively. The median follow-up was 34.6 months (95% CI: 28.7-40.5 months). The 3-year local recurrence-free survival (LRFS), regional recurrence-free survival (RRFS), metastasis-free survival (MFS), progression-free survival (PFS), and overall survival (OS) of all the patients were 63.5%, 82.8%, 75.2%, 47.3%, and 43.1%, respectively. Median PFS and OS were 26.1 and 28.0 months, respectively. Treatment failure was reported in 59 patients, of whom 22, 5, 12, 10, 3, 6 and 1 experienced local, regional, distant only, local-regional, regional-distant, local-distant, and local-regional-distant failure, respectively. The objective response rate (CR+ PR) of patients after IC was 55.2% (64/116). The LRFS, RRFS, PFS, and OS of IC responders (CR+ PR) were better than those of IC non-responders (SD+ PD) ( χ2 = 12.52, 5.16, 13.19, 11.72, all P< 0.05). Conclusions:IC combined with radical radiotherapy has efficacy to a certain extent in the treatment of locally advanced HPSCC, and locoregional recurrence predominates the failure patterns. The prognosis of IC responders is significantly better than that of IC non-responders.

Objective:To analyze the application effect of progressive resistance training (PRT) in breast cancer patients.Methods:PubMed, Web of Science, Embase, Medline, Cochrane Library, CNKI, Wanfang Data Knowledge Service platform, VIP and SinoMed databases were searched for randomized controlled trial (RCT) of PRT in breast cancer patients. The retrieval period was from the establishment of databases to November 30, 2020. Meta-analysis was performed using Revman 5.3 and Stata 16.1.Results:A total of 22 RCT were included. Meta-analysis showed that PRT could improve muscle strength [grip strength ( MD=1.43, 95% CI 0.57-2.30, P=0.001) , supine lifting force ( MD=13.0, 95% CI 9.39-16.61, P<0.000 01) , leg lifting force ( MD=43.88, 95% CI 27.85-59.91, P<0.000 01) ], shoulder flexion ( MD=9.62, 95% CI 5.16-14.09, P<0.000 1) , lean body weight ( MD=1.03, 95% CI 0.71-1.35, P<0.000 01) , quality of life ( SMD=0.51, 95% CI 0.25-0.78, P=0.000 1) . PRT could reduce the number of symptoms of upper limb lymphedema in breast cancer patients ( SMD=-0.23, 95% CI -0.42--0.04, P=0.020) , severity of symptoms ( SMD=-0.26, 95% CI -0.44--0.07, P=0.006) , body fat percentage ( MD=-1.49, 95% CI -1.94--1.04, P<0.000 01) , fat content ( MD=-0.87, 95% CI -1.48--0.26, P=0.005) , but there were no statistically significant differences in shoulder joint abduction, extension, body weight and body mass index ( P>0.05) . Descriptive analysis showed that PRT could reduce the incidence of upper limb lymphedema to a certain extent. Conclusions:The existing evidence shows that compared with the control group, PRT can improve the muscle strength, shoulder anterior flexion, lean body weight content and quality of life of patients with breast cancer and reduce the number and severity of upper extremity lymphedema symptoms, body fat percentage and fat mass.

Objective:To observe the changes of nutrition impact symptoms (NIS) and fat-free mass and analyze the relationship between them in patients with head and neck cancer (HNC) during radiotherapy.Methods:A convenient sampling method was adopted to select HNC patients who received radiotherapy in the outpatient clinic of department of radiotherapy for head and neck cancer in a cancer hospital in Beijing from March 2017 to January 2020. The nutrition impact symptoms (NIS) were assessed by a nutrition impact symptoms checklist and the fat free mass was assessed by bioelectrical impedance analysis at three time points: before radiotherapy (T1), during radiotherapy (T2) and at the end of radiotherapy (T3). The Generalized Estimating Equations (GEE) was used to analyze the relationship between them.Results:A total of 542 HNC patients were included in the analysis. During radiotherapy, the patients' NIS number and score presented an increasing trend, reaching the highest level and peaked at the end of radiotherapy. The change of fat-free mass showed a decreasing trend and reached the minimum at the end of radiotherapy. Patients with higher NIS scores had more percentage loss of fat-free mass.Conclusions:During radiotherapy, patients with HNC showed an increase in NIS score and lost fat-free mass. Patients with higher NIS score lost more percentage of fat-free mass, which suggested that clinical medical staff should pay attention to NIS management and take comprehensive intervention measures in time to reduce the loss of fat-free mass.

BACKGROUND: Chromosomal abnormalities are important causes of ventriculomegaly (VM). In mild and isolated cases of fetal VM, obstetricians rarely give clear indications for pregnancy termination. We aimed to calculate the incidence of chromosomal abnormalities and incremental yield of chromosomal microarray analysis (CMA) in VM, providing more information on genetic counseling and prognostic evaluation for fetuses with VM. METHODS: The Chinese language databases Wanfang Data, China National Knowledge Infrastructure, and China Biomedical Literature Database (from January 1, 1991 to April 29, 2020) and English language databases PubMed, Embase, and Cochrane Library (from January 1, 1945 to April 29, 2020) were systematically searched for articles on fetal VM. Diagnostic criteria were based on ultrasonographic or magnetic resonance imaging (MRI) assessment of lateral ventricular atrium width: ≥10 to <15 mm for mild VM, and ≥15 mm for severe VM. Isolated VM was defined by the absence of structural abnormalities other than VM detected by ultrasonography or MRI. R software was used for the meta-analysis to determine the incidence of chromosomal abnormalities and incremental yield of CMA in VM, and the combined rate and 95% confidence interval (CI) were calculated. RESULTS: Twenty-three articles involving 1635 patients were included. The incidence of chromosomal abnormalities in VM was 9% (95% CI: 5%-12%) and incremental yield of CMA in VM was 11% (95% CI: 7%-16%). The incidences of chromosomal abnormalities in mild, severe, isolated, and non-isolated VM were 9% (95% CI: 4%-16%), 5% (95% CI: 1%-11%), 3% (95% CI: 1%-6%), and 13% (95% CI: 4%-25%), respectively. CONCLUSIONS Applying CMA in VM improved the detection rate of abnormalities. When VM is confirmed by ultrasound or MRI, obstetricians should recommend fetal karyotype analysis to exclude chromosomal abnormalities. Moreover, CMA should be recommended preferentially in pregnant women with fetal VM who are undergoing invasive prenatal diagnosis. CMA cannot completely replace chromosome karyotype analysis.
Chromosome Aberrations ; Chromosomes ; Female ; Fetus ; Humans ; Hydrocephalus ; Karyotyping ; Microarray Analysis ; Pregnancy ; Prenatal Diagnosis ; Retrospective Studies ; Ultrasonography, Prenatal

Objective: To investigate the nutritional status of children with autism spectrum disorders, and to provide a reference for improving their nutritional status. Methods: 120 children with autism spectrum disorder who were treated in the rehabilitation center of Affiliated Children s Hospital of Zhengzhou University from September 2016 to September 2018 were selected as case group,and 120 normal children in the physical examination center of the same hospital were selected as the healthy group.The children s status was assessed by using the Clancy Autism Behavior Scale(CABS), and the serum nutrients levels were compared between these two groups. Results: Compared with the healthy group,the Vitamin A[(83.44±9.20,59.45±4.42)mg/L],Vitamin B6[(64.15±11.22,32.02±5.75)mg/L],Vitamin C[(60.62±10.26,47.63±13.12)mg/L],protein[(120.45±30.51,104.46±9.38)g/L], iron[(134.25±18.16,112.17±6.02)mg/L], calcium[(72.96±10.62,66.57±4.11)mg/L], zinc[(70.85±5.76,62.52±10.66)mg/L] and folic acid[(31.38±6.77,20.29±6.26)mg/L], eicosapentaenoic acid(EPA)[(0.72±0.22,0.55±0.14)μmol/L], decosahexaenoic acid(DHA)[(1.54±0.35,1.22±0.26)μmol/L] and arachidonic acid(AA)[(5.51±0.76,5.03±0.16)μmol/L] were lower(t=25.75，27.92，8.54，5.49，12.64，6.30，7.53，13.18，7.14，8.04，6.77，P<0.05), the low body weight(49.17%,63.33%) and wasting(38.33%,46.67%) in autism spectrum disorder group were higher significantly(χ2=4.89，6.71，P<0.05). Conclusion The nutritional status of children with autism spectrum disorder is different from that of normal children. The lack of serum nutrients will lead to a high incidence of malnutrition.