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

Middle compartment defects,a common subtype of pelvic floor dysfunction(PFD),are primarily characterized by the prolapse of the uterus or vaginal vault.Magnetic resonance imaging(MRI)has emerged as a valuable diagnostic tool for PFD,offering superior soft tissue resolution while eliminating exposure to ionizing radiation.This review comprehensive summarizes current applications of MRI in the diagnosis and treatment of PFD,covering measurement methods,manifestations of three-level structural defects,postoperative efficacy evaluation,vaginal axial assessment,and evaluation of the mesh status.The authors suggest that MRI enables precise preoperative evaluation of three-level defects,thereby facilitating the development of personalized treatment plans.Additionally,MRI provides an accurate postoperative assessment of surgical outcomes and mesh status,offering a new basis for postoperative assessment.MRI demonstrates unique value in the diagnosis and treatment of middle compartment defects.

Objective To evaluate the perioperative safety and mid-term outcomes of laparoscopic sacrocolpopexy(LSC)and laparoscopic pectopexy(LP)for pelvic organ prolapse(POP).Methods A retrospective analysis was conducted on 274 POP patients,including 178 who underwent LSC and 96 who underwent LP,between August 2017 and January 2023.The extent of prolapse and anatomical restoration were assessed preoperatively and postoperatively using the Pelvic Organ Prolapse Quantification(POP-Q)system.Quality of life outcomes were evaluated with validated questionnaires,including Pelvic Floor Distress Inventory-short form 20(PFDI-20),Pelvic Floor Impact Questionnaire-short form 7(PFIQ-7),and Pelvic Organ Prolapse/Urinary Incontinence Sexual Questionnaire-12(PISQ-12).Postoperative patient satisfaction was assessed during follow-ups.Postoperative anatomical restoration,perioperative status,and postoperative complications,recurrence,and quality of life were compared between the two groups.Multivariate logistic regression was performed to identify postoperative risk factors for recurrence.Results The operative time in the LSC group was significantly shorter than that in the LP group(P<0.05).Intraoperative blood loss was higher in the LSC group compared to that in the LP group(P<0.05).The LSC group also exhibited higher rates of de novo stress urinary incontinence and constipation(P<0.05).The mean follow-up duration was(35.91±16.90)months.The positions of the indicator points(Aa,Ba,C,Ap,and Bp)in the POP-Q classification after the operation were all better than those before the operation.The PFDI-20 score,PFIQ-7 score,and PISQ-12 score all improved compared to those before the operation(P<0.05).Comparison of preoperative and postoperative PFDI-20,PFIQ-7,and PISQ-12 scores showed no intergroup differences.Compared with the LP group,the LSC group had the lower preoperative POP-Q measurements at points Aa and Ba(P<0.05),but superior postoperative measurements for all the indicator points(Aa,Ba,C,Ap,and Bp)(P<0.05).Recurrence occurred in 28 cases in the LP group and 4 cases in the LSC group,with the LP group presenting a significantly higher anatomical recurrence rate than the LSC group did(31.46%[28/89]vs.2.41%[4/166],P<0.05).The subjective cure rate(100%)and objective cure rate(97.59%)in the LSC group were superior to those in the LP group(88.76%and 68.54%,respectively;P<0.05).The results of the multivariate logistic regression analysis showed that,after adjusting for the confounding factors,including age,gravidity,parity,body mass index,and duration of POP,the risk of recurrence after LSC surgery was 0.044 times that after LP(odds ratio[OR],0.044;95%CI,0.015-0.133;P<0.001).Conclusion Mid-term outcomes of LP with partial cervical preservation appear inferior to those of LSC,with LSC demonstrating superior anatomical restoration and lower rates of anatomical recurrence.However,improvements in sexual function and quality of life are comparable between the two procedures.Further evaluation with larger sample sizes and longer follow-up is warranted to better characterize long-term outcomes.

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.

Objective:To assess the consistency of ultrasound and dual-energy computed tomography (DECT) in the diagnosis of gouty arthritis(GA), reasons of the differences were further analyzed.Methods:The ultrasound and DECT images of 150 knee joints from 147 patients diagnosed with gout at the Gout Specialty Clinic of Qingdao University Affiliated Hospital from February 2022 to October 2023 were retrospectively analyzed. According to anatomy, the knee joint was anatomically segmented into five regions: intra-articular, anterior, posterior, medial, and lateral.Location of monosodium urate (MSU) deposition was meticulously recorded. The Kappa consistency test was employed to assess the consistency of the two examination results in different regions of the knee joint. The McNemar chi-square test was utilized to conduct a differential analysis between DECT and ultrasound results.Results:Double contour sign(DCS) (81.2%, 92/112) was the most common intra-articular ultrasound sign in knee joints with GA. In the extra-articular region, MSU was commonly deposited in and around the popliteal tendon (ultrasound: 51.6%, 66/128; DECT: 54.7%, 70/128). Corresponding MSU deposits on DECT were found in 9 of 92 joints with DCS and in 9 of 49 joints with aggregates detected on ultrasound.In the assessment of MSU deposits, ultrasound showed an overall higher positive rate than DECT (87.3% vs. 72.3%, P=0.001), with poor consistency between the two examinations (Kappa=0.153). In distinct anatomical regions, ultrasound and DECT showed high consistency in the medial (Kappa=0.697) and lateral (Kappa=0.718) sides and the difference was not statistically significant ( P>0.05). Intra-articular (Kappa=0.289) and anterior (Kappa=0.303) regions exhibited only fair consistency, with statistically significant diagnostic differences ( P<0.05). When exclusively assessing cases with tophus, ultrasound and DECT demonstrated high consistency in the medial and lateral aspects(Kappa=0.685, 0.748) without statistical difference ( P>0.05). In the anterior region, the consistency between the two examinations was moderate (Kappa=0.256), while in the intra-articular region, the consistency of the two methods was lower (Kappa=0.147), and the differences was statistically significant ( P<0.001). Conclusions:Both ultrasound and DECT exhibit good diagnostic capabilities for gouty knee arthritis.However, the consistency between the two techniques varies in different anatomical locations. Clinical assessment should be tailored based on the specific anatomical position. DECT has an advantage in evaluating intra-articular MSU deposits, while ultrasound is more sensitive to detect early and scattered MSU deposits.

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.

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.