ObjectiveTo investigate the possible mechanism of Shenfuhuang Formula （参附黄配方） in prevention and treatment of epsis-associated encephalopathy from the perspective of brain genomics. MethodsC57BL/6 mice were randomly divided into sham surgery group， sepsis group， and Shenfuhuang group， with 20 mice in each group. The sepsis group and Shenfuhuang group were induced to develop sepsis by cecal ligation and puncture （CLP） procedure. At 4 hours after modelling， Shenfuhuang group were gavaged with 2.5 g/（kg·d） of Shenfuhuang Formula， 0.5 ml each time， at 12 hours intervals， for a total of 4 times after modelling. Sepsis group and sham surgery group were given 0.5 ml of purified water orally. At 48 hours after modeling， the transcriptome sequencing was used to explore the differential gene expression in the effects of Shenfuhuang Formula on the brain regions of septic mice， and real-time PCR and ELISA were later used to further validate the differential gene and proteins expression. ResultsA total of 4605 genes were differentially expressed in Shenfuhuang group compared with sepsis group， of which 2353 genes were up-regulated and 2252 genes were down-regulated. According to the results of previous publications， six key genes were screened， including serine/threonine-protein kinase （Nek1）， myelin-associated glycoprotein （Mag）， endothelial cell-specific tyrosine kinase receptor （Tek）， a disintegrin and metalloproteinase with thrombospondin motifs 20 （Adamts20）， lymphocyte antigen 86 （Ly86）， and E3 ubiquitin-protein ligase （Traip）. Further genetic and protein validation revealed that， compared to the sham surgery group， the mRNA levels and corresponding protein levels of Nek1， Mag， Tek， Adamts20， Ly86， and Traip in the brain tissue of septic mice significantly reduced （P＜0.05）. In comparison to the sepsis group， Shenfuhuang group showed significantly increased mRNA levels and corresponding protein levels of Nek1， Mag， Tek， Adamts20， Ly86， and Traip （P＜0.05）. ConclusionThe potential therapeutic targets of Shenfuhuang Formula for treating sepsis-associated encephalopathy may be related to the Nek1， Mag， Tek， Adamts20， Ly86， and Traip genes and their encoded proteins.

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.

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

A 50-year-old male patient diagnosed with extensive stage small cell lung cancer was treated with pamiparib in combination with temozolomide.Five days later,the patient developed fever with fatigue.After 10 days,the patient stopped taking the drug due to worsening symptoms and was diagnosed with chemotherapy-induced myelosuppression(grade 4).The clinicist evaluated the patient's condition and assessed the association of adverse reactions using the Naranjo's evaluation scale,and concluded that myelosuppression may be induced by the combination of pamiparib and temozolomide.After symptomatic treatment,the patient's myelosuppression recovered completely.This article discusses the correlation between myelosuppression and the combination of the two drugs,provides treatment measures for this situation,briefly describes the risk factors of myelosuppression,treatment and prevention,and guides medical personnel to adjust the treatment plan in time according to different individuals in the process of using similar programs,and strengthens the monitoring and education of adverse drug reactions,so as to provide references for safe drug use.

The use of robots to augment human capabilities and assist in work has long been an aspiration.Robotics has been developing since the 1960s when the first industrial robot was introduced.As technology has advanced,robotic-assisted surgery has shown numerous advantages,including more precision,efficiency,minimal invasiveness,and safety than is possible with conventional techniques,which are research hotspots and cutting-edge trends.This article reviewed the history of medical robot development and seminal research papers about current research progress.Taking the autonomous dental implant robotic system as an example,the advantages and prospects of medical robotic systems would be discussed which would provide a reference for future research.

Objective: To explore the longitudinal association between organophosphate esters (OPEs) exposure and blood pressure in children, so as to provide a reference for identifying the effects of OPEs exposure on child health. Methods: A total of 404 children from the Beijing Child Growth and Health Cohort (PROC) were enrolled using a case cohort study design, baseline physical examination, urine collection, questionnaires survey were administered in 2018 and follow up surveys in 2019-2020 and 2023. Participants were divided into case group ( n =140) and control group ( n =264) according to the observation of new onset of high blood pressure during the follow up period. High performance liquid chromatography tandem mass spectrometry was used to detect diethyl phosphate (DEP)，bis (2-chloroethyl) phosphate (BCEP)，bis (1-chloro-2-propyl) phosphate, (BCIPP), diphenyl phosphate(DPHP), dibutyl phosphate (DnBP), bis (1,3-dichloro-2-propyl) phosphate(BDCIPP), bis(2-butoxyethyl) phosphate(BBOEP), bis (2-butoxyethyl) 2-hydroxyethyl phosphate (BBOEHEP), 4-hydroxyphenyl diphenyl phosphate (4-OH-TPHP). Generalized linear mixed models and Quantile g computation models were developed to analyze the longitudinal associations between OPEs individual/mixed exposure and blood pressure in children. Results: The detection range of 9 OPEs metabolites,including DEP, BCEP, BCIPP, DPHP, DnBP, BDCIPP, BBOEP, BBOEHEP and 4-OH-TPHP at three time points (baseline, first follow up and second follow up) were 27.7%-92.1%, 24.0%-99.3% and 39.2%-90.9% respectively. Without adjustment for covariates such as gender, age, body mass index, Tanner stage, parental education, and monthly household income, and family history of hypertension, the increase of BDCIPP concentration and mixed exposure of OPEs may reduce children s systolic blood pressure( β= -0.85，-2.40，95%CI=-1.69--0.01，-3.30--1.50，P <0.05). After adjusting for the covariates, the longitudinal association of individual OPEs or mixed exposure with pediatric BP was not statistically significant ( P >0.05). Conclusion Children are commonly exposed to OPEs, and although no significant longitudinal associations are observed between exposure to OPEs and blood pressure among school aged children in Beijing, it is recommended that child exposure should be minimized whenever possible.

Objective:To assess the discriminatory value of the Thyroid Follicular Tumor Ultrasound Risk Stratification System (F-TIRADS) in differentiating follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA), and to compare its performance with other risk stratification systems(RSS).Methods:A retrospective analysis was conducted on 325 patients (327 thyroid nodules) diagnosed postoperatively as FTC or FTA at Affiliated Hospital of Qingdao University from January 2016 to December 2023. The cases were divided into FTC group (81 nodules) and FTA group (246 nodules). The nodules were classified based on F-TIRADS, the 2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS), the 2015 American Thyroid Association guidelines (ATA guidelines), and the 2017 European Thyroid Association Thyroid Imaging Reporting and Data System (EU-TIRADS) by two ultrasound physicians. Multivariate Logistic regression analysis was used to identify independent predictors associated with FTC. Diagnostic performance of the 4 RSS was compared using postoperative pathological results as the gold standard.Results:Multivariate Logistic regression analysis showed maximum diameter, solid composition, hypoechogenicity, unclear or angular margins, marginal or ring calcifications, trabecular structure, and central blood flow were independent predictors of FTC( OR=1.914, 3.427, 9.926, 9.163, 45.918, 3.191, 8.936, respectively; all P<0.05). Within each RSS, the actual malignancy rate increased with higher risk categories, aligning closely with the recommended malignancy rates (except for ATA guidelines). The optimal cut-off values for distinguishing FTC from FTA were FTC risk 50%-90% in F-TIRADS, C-TIRADS 4B, moderately suspicious nodules in ATA guidelines, and EU-TIRADS 4, with areas under the curve of 0.916, 0.808, 0.827, and 0.836, respectively. F-TIRADS demonstrated the best overall performance (sensitivity: 82.72%, specificity: 82.93%), with significant differences compared with C-TIRADS, ATA guidelines, and EU-TIRADS (all P<0.05). Conclusions:F-TIRADS is highly effective in distinguishing FTA from FTC, outperforming C-TIRADS, ATA Guidelines, and EU-TIRADS. Clinicians should pay close attention to solid hypoechoic nodules with unclear or angular margins, marginal or ring calcifications, central blood flow, or a trabecular structure.

OBJECTIVE To evaluate the ameliorative effect of Juanbi Tongluo Oral Liquid on sciatic neuronal apoptosis in Type 2 diabetic model mice.METHODS The Type 2 diabetes mouse model was established by feeding with high-fat and high-sugar diet combined with intraperitoneal injection of streptozotocin(STZ).The mice were treated with metformin(200 mg·kg-1·d-1),low dose(3.9 g·kg-1·d-1)and high dose(7.8 g·kg-1·d-1)Juanbi Tongluo Oral Liquid for 35 days.The latency of response to thermal stimu-lation was detected by hot plate,and the values of blood glucose insulin and glycosylated hemoglobin were determined.Biochemical kits were used to detect the expression of serum total cholesterol(T-CHO),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),superoxide dismutase(SOD),catalase(CAT),glutathione peroxidase(GSH-Px)and oxidation product malondialdehyde(MDA).The expression of tumor cytokine α(TNF-α),interleukin(IL)-1β,IL-6 and IL-10 in serum of mice were detected by ELISA method;the injury of sciatic nerve of model mice was detected by HE staining;the apoptosis of sciatic nerve was detected by TUNEL method;and the expression of neurofilament protein NF-L,apoptosis(cleaved Caspase-3,Caspase-3)and oxidative stress(Nrf2,HO-1)signal pathway proteins in sciatic nerve of model mice were detected by Western blot method.RESULTS High-dose Juanbi Tongluo Oral Liquid shortened the latent period of heat pain response in model mice(P<0.01);downregulated fasting blood glucose and glycated hemoglobin(P<0.01),and upregulated fasting plasma insulin in model mice(P<0.01);downregulated serum T-CHO,TG,and LDL-C levels(P<0.01),upregulated HDL-C levels(P<0.01);downregulated serum pro-inflammatory factors TNF-α,IL-1β and IL-6 levels(P<0.05),upregulated the anti-inflammatory cyto-kine IL-10 level(P<0.01);inhibited sciatic nerve structural damage and apoptosis(P<0.05);downregulated the ratio of cleaved Caspase-3 to Caspase-3 in the apoptosis pathway(P<0.01);upregulated the expression of neurofilament proteins NF-L and NF-H in sciatic nerve tissue(P<0.05,P<0.01);and upregulated the expression of antioxidant stress proteins Nrf2 and HO-1(P<0.01).CONCLUSION Juanbi Tongluo Oral Liquid can improve sciatic neuronal apoptosis of Type 2 diabetic mice,which may be related to its effect on improving oxidative stress and inflammatory stress.

ObjectiveTo investigate the effects of Bushen Huoxue prescription on the cardiac function， inflammation， and quality of life of the patients with chronic heart failure resistant to diuretics. MethodA total of 78 patients who met the inclusion criteria were randomized into observation and control groups （39 cases）. Both groups received standardized treatment for diuretic resistance in accordance with the guidelines. In addition， the observation group received Bushen Huoxue prescription. The cardiac function indicators， total response rate regarding symptom alleviation， exercise endurance， urine volume， body mass， quality of life， and levels of inflammatory cytokines were compared between the two groups before and after treatment. ResultBefore treatment， the two groups of patients showed no significant differences in terms of 24 h urine volume， body mass， 6 minute walk test （6MWT）， Minnesota Living with Heart Failure Questionnaire （MLHFQ） score， N-terminal pro-B-type natriuretic peptide （NT-proBNP） level， left ventricular ejection fraction （LVEF）， stroke volume （SV）， and serum levels of interleukin-6 （IL-6）， interleukin-4 （IL-4）， and tumor necrosis factor-alpha （TNF-α）. After treatment， the observation group outperformed the control group in terms of the response rates regarding traditional Chinese medicine symptom scores and New York Heart Association （NYHA） grading of cardiac function （P<0.05）. After treatment， the body mass， MLHFQ score， and IL-6， TNF-α， and NT-proBNP levels decreased in both groups （P<0.05， P<0.01）， and the observation group showed more significant decreases than the control group （P<0.05， P<0.01）. Both groups showed increases in 24-h urine volume， 6MWT， LVEF， SV， and IL-4 after treatment （P<0.05， P<0.01）， and the observation group showed more significant increases than the control group （P<0.05， P<0.01）. ConclusionThe combination of Bushen Huoxue prescription with standardized treatment is effective in ameliorating the clinical symptoms of the patients with chronic heart failure resistant to diuretics. Moreover， it alleviates diuretic resistance and improves the cardiac function without causing obvious adverse reactions.