Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

ObjectiveTo analyze the epidemiological characteristics of latent tuberculosis infection (LTBI) among newly detained populations in eastern China, to identify high-risk groups, and to provide a scientific basis for formulating tuberculosis prevention and control strategies in the prison system. MethodsA cross-sectional study was conducted among the newly admitted detainees in two prisons in eastern China in 2022. Data on demographic characteristics, behavioral risk factors and previous disease history of the research subjects were collected through a structured questionnaire survey. The LTBI status of the detainees was determined using the QuantiFERON-TB Gold In-Tube (QFT-GIT) method. Lasso regression was used to screen variables, followed by multivariate logistic regression analysis to investigate the influencing factors of LTBI. ResultsA total of 305 detainees were included in the study. The median age of detainees was 35 (31, 43) years. The study population was predominantly male (67.21%), of Han ethnicity (95.41%), had a junior or senior high school education (59.34%), and was unemployed (31.80%). A history of smoking was reported by 52.79% of participants, while 57.70% reported no alcohol consumption. The majority had no history of hypertension (85.90%), diabetes mellitus (93.77%), human immunodeficiency virus (HIV) infection (97.38%), familial genetic diseases (95.08%), surgery or trauma (73.77%), drug use (92.79%), or hepatitis (93.77%). The LTBI rate was 14.75%. After comparing the demographic characteristics of LTBI and non-infected groups, it was found that smoking history (χ²=7.40, P=0.025), drug use history (χ²=5.49, P=0.019), and HIV infection (χ²=8.12, P=0.004) were statistically correlated with LTBI infection. The results of multivariate logistic regression analyses showed that smoking [adjusted odds ratio (aOR)=4.08, 95%CI: 1.60‒10.42, P=0.003], HIV infection (aOR=11.57, 95%CI: 2.50‒53.51, P=0.002) and drug use (aOR=3.04, 95%CI: 1.02‒9.09, P=0.046) were risk factors for LTBI. ConclusionThe LTBI rate among newly detainees in two prisons in eastern China is slightly lower than that among long-term detainees. Early screening and intervention should be implemented for newly detainees, with particular attention focused on high-risk groups such as those with a history of smoking, HIV infection, or drug use.

In audiovisual emotion recognition, representational learning is a research direction receiving considerable attention, and the key lies in constructing effective affective representations with both consistency and variability. However, there are still many challenges to accurately realize affective representations. For this reason, in this paper we proposed a cross-modal audiovisual recognition model based on a multi-head cross-attention mechanism. The model achieved fused feature and modality alignment through a multi-head cross-attention architecture, and adopted a segmented training strategy to cope with the modality missing problem. In addition, a unimodal auxiliary loss task was designed and shared parameters were used in order to preserve the independent information of each modality. Ultimately, the model achieved macro and micro F1 scores of 84.5% and 88.2%, respectively, on the crowdsourced annotated multimodal emotion dataset of actor performances (CREMA-D). The model in this paper can effectively capture intra- and inter-modal feature representations of audio and video modalities, and successfully solves the unity problem of the unimodal and multimodal emotion recognition frameworks, which provides a brand-new solution to the audiovisual emotion recognition.
Emotions ; Humans ; Attention ; Algorithms

Automatic classification of medical questions is of great significance in improving the quality and efficiency of online medical services, and belongs to the task of intent recognition. Joint entity recognition and intent recognition perform better than single task models. Currently, most publicly available medical text intent recognition datasets lack entity annotation, and manual annotation of these entities requires a lot of time and manpower. To solve this problem, this paper proposes a medical text classification model, bidirectional encoder representation based on transformer-recurrent convolutional neural network-entity-label-semantics (BRELS), which integrates medical entity label semantics. This model firstly utilizes an adaptive fusion mechanism to absorb prior knowledge of medical entity labels, achieving local feature enhancement. Then in global feature extraction, a lightweight recurrent convolutional neural network (LRCNN) is used to suppress parameter growth while preserving the original semantics of the text. The ablation and comparison experiments are conducted on three public medical text intent recognition datasets to validate the performance of the model. The results show that F1 score reaches 87.34%, 81.71%, and 77.74% on each dataset, respectively. The results show that the BRELS model can effectively identify and understand medical terminology, thereby effectively identifying users' intentions, which can improve the quality and efficiency of online medical services.
Semantics ; Neural Networks, Computer ; Humans ; Natural Language Processing

ObjectiveTo investigate the whole genomic characteristics and phylogenetic relationships of clinical isolates of enteroaggregative Escherichia coli (EAEC) in diarrhea outpatients in Pudong New Area, Shanghai. MethodsBased on the diarrheal disease surveillance network in Pudong New Area, Shanghai, whole-genome sequencing was performed on a total of 55 EAEC strains isolated from fecal samples of the diarrhea outpatients from January 2015 to December 2019. The genome analyses based on raw sequencing data encompassed genome size, coding genes, dispersed repeat sequences, genomic islands, and protein coding regions, and pan-genome analyses were conducted simultaneously. Contigs sequences assays were performed to analyze molecular characteristics including serotypes, antibiotic resistance genes, and virulence factors. The phylogenetic clusters and multilocus sequence typing (MLST) were identified, and a phylogenetic tree was constructed. ResultsEAEC exhibited an open pan-genome. The predominant serotype of EAEC in diarrhea outpatients in Pudong New Area was O130:H27, and the carriage rate of β-lactam resistance genes was the highest (67.27%, 37/55). A total of 29 virulence factors and 106 virulence genes were identified, phylogenic group B1 was the predominant group, and clonal group CC31 was the dominant clonal group. The strain distribution was highly heterogeneous. ConclusionThe genomic characteristics of EAEC displayed significant strain polymorphism. It is necessary to develop effective strategies for differential diagnosis and improve detection capabilities for infection with EAEC of different serotypes and genotypes.

Objective:To evaluate the diagnostic value of targeted next-generation sequencing (tNGS) of throat swab samples for detecting community-acquired respiratory viruses (CARV) in patients with hematological diseases.Methods:Clinical and laboratory data from 64 episodes involving patients with hematological diseases and suspected infections—who underwent both pharyngeal swab tNGS and CARV polymerase chain reaction (PCR) testing concurrently—were retrospectively analyzed. The cases were drawn from the Department of Hematology, Peking University People’s Hospital, between September 2023 and April 2024. Concordance between tNGS and CARV PCR results, as well as the diagnostic performance of tNGS in detecting CARV, were evaluated.Results:Among the 64 episodes, 29 were clinically diagnosed with respiratory tract infections, including one case of cytomegalovirus pneumonia and 28 CARV-positive cases. The remaining 35 episodes involved patients with fever or respiratory symptoms attributed to other causes, including 14 with extrapulmonary infections and 21 with noninfectious etiologies. The median follow-up duration was 215.5 days (range: 7-271 days). PCR detected 24 strains of seven CARV types, whereas tNGS detected 25 strains of eight CARV types. Using PCR results as the reference standard, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of tNGS were 85.0%, 88.6%, 77.3%, 92.9%, and 87.5%, respectively. The two methods showed good concordance (Kappa=0.717, P<0.001) . Conclusion:Pharyngeal swab tNGS may serve as a viable alternative to PCR for diagnosing CARV infections in patients with hematological diseases.

The application of mechanics in clinical wound healing has a long history;however,the systematic underlying mechanisms remain unclear.With recent advancements in biomechanics and mechanobiology,the principles regarding how mechanical factors influence the formation,progression,and healing of wounds have gradually been elucidated.Herein,based on progress in theories,technologies,and clinical practices concerning the interplay between mechanics and wound healing,this study introduces the concept of wound-repairing mechanomedicine.Relevant research is systematically reviewed from the perspectives of biomechanics,mechanobiology,and mechanotherapy.Additionally,potential future development directions are prospectively analyzed to provide novel insights into wound care and strategies for preventing scar formation.

Objective:To identify latent categories in the developmental trajectories of kinesiophobia among postoperative rotator cuff injury patients and analyze the influencing factors associated with each trajectory.Methods:A convenience sampling method was used to recruit patients who underwent surgery for rotator cuff injury in the Department of Sports Medicine, Beijing Jishuitan Hospital, Capital Medical University from April to October 2024. Data were collected using a general information questionnaire, the Tampa Scale for Kinesiophobia-11, Visual Analogue Scale, General Self-Efficacy Scale, Self-rating Anxiety Scale, and Shoulder Pain and Disability Index. Latent class growth model (LCGM) was employed to identify potential categories of kinesiophobia trajectories, and multinomial Logistic regression analysis was used to explore factors influencing the identified trajectory classes.Results:A total of three latent trajectory classes of kinesiophobia were identified among 372 postoperative rotator cuff injury patients: low-level group (26.88%, 100/372), moderate-level group (42.20%, 157/372), and high-level group (30.91%, 115/372). Multinomial Logistic regression analysis showed that education level, employment status, pain, and anxiety were significant influencing factors for the different kinesiophobia trajectory classes ( P<0.05) . Conclusions:The developmental trajectories of kinesiophobia among postoperative rotator cuff injury patients exhibit population heterogeneity. Nursing staff should provide early, targeted interventions based on patients' kinesiophobia trajectories and influencing factors to reduce kinesiophobia levels.

Objective:To investigate the protective effect of a composite hydrogel against hydrogen peroxide(H2O2)-induced oxidative stress injury in the cardiomyocytes,and to clarify its possible mechanism.Methods:The mice were subcutaneously injected with 100 μL of hydrogel.After normal feeding for 1,14,and 28 d,the mice were sacrificed.Tissue samples were collected and subjected to HE staining to observe the histocompatibity of the hydrogel.The primary cardiomyocytes isolated from 1-day-old SD rats were used to establish an oxidative stress injury model.The primary cardiomyocyties were divided into control,H2O2 and H2O2+Hydrogel groups.The primary cardiomyocytes in control group were cultured normally,the primary cardiomyocytes in H2O2 group were treated with 200 μmol·L-1 H2O2 for 24 h,and the primary cardiomyocytes in H2O2+Hydrogel group were incubated with 1 g·L-1 composite hydrogel and 200 μmol·L-1 H2O2 for 24 h.The viabilities of cardiomyocytes in various groups were assessed by cell counting kit-8(CCK-8)method.Dihydroethidium(DHE)and 2',7'-dichlorodihydrofluorescein diacetate(DCFH-DA)staining were used to assess the reactive oxygen species(ROS)levels in the cells.The expressions of filamentous actin(F-actin)in the cells in various groups were detected by phalloidin fluorescence staining;the expressions of connexin 43(Cx43)and cardiac troponin T(cTnT)proteins in the cardiomyocytes in various groups were detected by immunofluorescence method.The apoptotic rates of cardiomyocytes in various groups were assessed with TUNEL staining method.The expression levels of apoptosis-related proteins B-cell lymphoma-2(Bcl-2)and Bcl-2-associated X protein(Bax)in the cardiomyocytes in various groups were assessed by Western blotting method.Results:The HE staining results showed that the inflammatory cells around the implanted hydrogel were less infiltrated,and the inflammatory reaction of subcutaneous implantation was less.Compared with control group,the viability of cardiomyocytes in H2O2 group was significantly decreased(P＜0.05),the level of ROS in the cells was increased(P＜0.05),the expression levels of Cx43,cTnT and F-actin proteins in the cells were decreased(P＜0.001),the apoptosis rate of cardiomyocytes were decreased(P＜0.01),the expression level of Bcl-2 protein in the cells was increased(P＜0.001),and the expression level of Bax protein was decreased(P＜0.01).Compared with H2O2 group,the viability of cardiomyocytes was significantly increased(P＜0.05),the level of ROS in the cells was decreased(P＜0.01),the expression levels of cTnT,Cx43 and F-actin proteins were increased(P＜0.01),the apoptotic rate of cardiomyocytes were significantly decreased(P＜0.001),the expression level of Bcl-2 protein in the cells were decreased(P＜0.01),and the expression level of Bax protein was increased(P＜0.01).Conclusion:Hydrogel may promote the expression of cardiomyocyte-related proteins by scavenging ROS in the environment and inhibit the cardiomyocyte apoptosis to achieve the protective effect on the cardiomyocytes under oxidative stress.

Objective:To discuss the ameliorative effect of total flavonoids from corn silk(TFCS)on kidney injury in the rats with urate nephropathy,and to clarify the possible mechanism.Methods:Sixty male Wistar rats were randomly divided into control group,model group,positive control group[benzbromarone(BZM)group,5 mg·kg-1·d-1],low dose of TFCS group(20 mg·kg-1·d-1),medium dose of TFCS group(40 mg·kg-1·d-1),and high dose of TFCS group(80 mg·kg-1·d-1),and there were 10 rats in each group.Except for control group,the rats in the other groups were administered potassium oxonate(350 mg·kg-1)and adenine(70 mg·kg-1)by gavage for 4 weeks to establish the hyperuricemic nephropthy models.The rats in different doses of TFCS groups were treated with TFCS for 2 weeks.Speckle blood flow imager was used to detect the renal blood perfusion of the rats in various groups and the kidney coefficients of the rats in various groups were caculated;HE staining and Masson staining were used to observe the pathomorphology and fibrosis degrees of kidney tissue of the rats in various groups and enzyme-linked immunosorbent assay(ELISA)method was used to detect the levels of uric acid(UA),creatinine(Cr),blood urea nitrogen(BUN),interleukin-6(IL-6),and tumor necrosis factor-α(TNF-α)in the serum and levels of β2-microglobulin(β2-MG)and microalbumin(ALB)in the urine of the rats in various groups;Western blotting method was used to detect the expression levels of urate transporter 1(URAT1),glucose transporter 9(GLUT9),and ATP-binding cassette transporter G2(ABCG2)proteins in kidney tissue of the rats in various groups.Results:Compared with control group,the renal blood perfusion volume of the rats in model group was significantly decreased(P<0.01).Compared with model group,the renal blood perfusion volumes of the rats in BZM group and low,medium,and high doses of TFCS groups were significantly increased(P<0.05 or P<0.01).Compared with control group,the kidney weight of the rats in model group was increased,with visible white granular spots on the surface,absence of blood color,and kidney volume was increased.Compared with model group,the kidney volumes of the rats in BZM group and medium and high doses of TFCS groups were decreased,with color tending toward that in control group,and the white granular spots on the surface were significantly reduced.Compared with model group,the kidney coefficients of the rats in BZM group and medium and high doses of TFCS groups were decreased(P<0.01).The HE staining results showed there were no abnormalities in kidney tissue structure in control group,while there were a small amount of brown-yellow urate crystal deposition and interstitial connective tissue hyperplasia in model group;compared with model group,the kidney tissue damage and inflammatory infiltration were alleviated to varying degrees in BZM group and different doses of TFCS groups.The Masson staining results revealed no obvious collagen fiber deposition in control group,whereas significant blue collagen fiber deposition in kidney tissue of the rats was found in model group,and the collagen volume fraction(CVF)was increased compared with control group(P<0.01);compared with model group,the CVFs of the rats in BZM group and different doses of TFCS groups were decreased(P<0.01).The ELISA results showed that compared with control group,the levels of UA,Cr,BUN,IL-6,and TNF-α in serum of the rats in model group were increased(P<0.01);compared with model group,the levels of UA,Cr,BUN,IL-6,and TNF-α in serum of the rats in BZM group and medium and high doses of TFCS groups were decreased(P<0.01).Compared with control group,the levels of β2-MG and ALB in urinary in model group were increased(P<0.01);compared with model group,the levels of β2-MG and ALB in urinary of the rats in different doses of TFCS groups were decreased(P<0.05 or P<0.01).The Western blotting results showed that compared with control group,the expression levels of URAT1 and GLUT9 proteins in kidney tissue of the rats in BZM group and model group were increased(P<0.01),while the expression level of ABCG2 protein was decreased(P<0.01).Compared with model group,the expression levels of URAT1 and GLUT9 proteins in kidney tissue of the rats in different doses of TFCS groups were decreased(P<0.05 or P<0.01),and the expression level of ABCG2 protein was increased(P<0.01).Conclusion:TFCS can significantly alleviate the kidney injury in the rats with urate nephropathy model,and its mechanism may be related to the downregulation of expression of URAT1 and GLUT9 proteins and upregulation of ABCG2 protein expression in kidney tissue.