A detection model based on Gramian angular field(GAF)and parallel KConvNeXt network is proposed for accurately detecting the abnormal conditions caused by sample needle blockage in the sampling system during the sampling,thus improving the testing accuracy and detection efficiency of automated biochemical analyzers.GAF-based method is employed to transform the time series of one-dimensional pressure signals into two-dimensional image representations.Subsequently,an improved attention mechanism integrated with a parallel dual-channel KConvNeXt network is used to classify the pressure signals,and achieves a final classification accuracy of 94.58%.The experimental results show that the proposed method can effectively capture the key characteristics of the pressure signals,offering an efficient solution for the anomalous pressure detection in biochemical analyzer sampling system and exhibiting important practical significance.

A detection model based on Gramian angular field(GAF)and parallel KConvNeXt network is proposed for accurately detecting the abnormal conditions caused by sample needle blockage in the sampling system during the sampling,thus improving the testing accuracy and detection efficiency of automated biochemical analyzers.GAF-based method is employed to transform the time series of one-dimensional pressure signals into two-dimensional image representations.Subsequently,an improved attention mechanism integrated with a parallel dual-channel KConvNeXt network is used to classify the pressure signals,and achieves a final classification accuracy of 94.58%.The experimental results show that the proposed method can effectively capture the key characteristics of the pressure signals,offering an efficient solution for the anomalous pressure detection in biochemical analyzer sampling system and exhibiting important practical significance.

Osteoarthritis (OA) is a prevalent degenerative joint disease characterized by cartilage loss and accounts for a major source of pain and disability worldwide. However, effective strategies for cartilage repair are lacking, and patients with advanced OA usually need joint replacement. Better comprehending OA pathogenesis may lead to transformative therapeutics. Recently studies have reported that exosomes act as a new means of cell-to-cell communication by delivering multiple bioactive molecules to create a particular microenvironment that tunes cartilage behavior. Specifically, exosome cargos, such as noncoding RNAs (ncRNAs) and proteins, play a crucial role in OA progression by regulating the proliferation, apoptosis, autophagy, and inflammatory response of joint cells, rendering them promising candidates for OA monitoring and treatment. This review systematically summarizes the current insight regarding the biogenesis and function of exosomes and their potential as therapeutic tools targeting cell-to-cell communication in OA, suggesting new realms to improve OA management.
Apoptosis ; Cartilage/pathology* ; Cartilage, Articular/metabolism* ; Cell Communication ; Chondrocytes/metabolism* ; Exosomes/pathology* ; Humans ; Osteoarthritis/therapy*

Objective:To investigate the related factors affecting intraoperative blood loss in patients with spinal tumors undergoing preoperative selective arterial embolization.Methods:The clinical data of 90 patients with spinal tumors who underwent preoperative selective arterial embolization in the Affiliated Hospital of Jining Medical College and the Second Affiliated Hospital of Shanxi Medical University from January 2017 to December 2020 were retrospectively analyzed. The influencing factors of intraoperative bleeding were analyzed by using multiple linear regression.Results:There were statistically significant differences in intraoperative blood loss of spinal tumor patients undergoing preoperative selective arterial embolization with different blood supply abundance and the number of tumors involving vertebral body (all P < 0.05). There were no significant differences in age, gender, body mass index, interval after embolization, operation time, pathological type, tumor site, embolization degree, the number of embolized vessels, preoperative Frankel grade among different groups (all P > 0.05). Multiple linear regression analysis showed that the number of tumors involving vertebral body and tumor blood supply abundance were factors affecting intraoperative blood loss, and vertebra number and tumor blood supply were positively correlated with intraoperative blood loss (all P < 0.05). Conclusion:For patients with spinal tumors undergoing preoperative selective arterial embolization, the number of tumors involving vertebral body and the abundance of the tumor blood supply are factors affecting the amount of intraoperative bleeding.

BACKGROUND: Physical therapy is regarded as an essential aspect in achieving optimal outcomes following total knee arthroplasty (TKA). The coronavirus disease 2019 (COVID-19) pandemic has made face-to-face rehabilitation inaccessible. Virtual reality (VR) is increasingly regarded as a potentially effective option for offering health care interventions. This systematic review and meta-analysis investigate VR-based rehabilitation's effectiveness on outcomes following TKA. METHODS: From inception to May 22, 2021, PubMed/Medline, Embase, Web of Science, the Cochrane Central Register of Controlled Trials, Scopus, PsycINFO, Physiotherapy Evidence Database, China National Knowledge Infrastructure, and Wanfang were comprehensively searched to identify randomized controlled trials (RCTs) evaluating the effect of VR-based rehabilitation on patients following TKA according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and the Cochrane Handbook for Systematic Reviews of Interventions. RESULTS: Eight studies were included in the systematic review, and seven studies were included in the meta-analysis. VR-based rehabilitation significantly improved visual analog scale (VAS) scores within 1 month (standardized mean difference [SMD]: -0.44; 95% confidence interval [CI]: -0.79 to -0.08, P = 0.02), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) within 1 month (SMD: -0.71; 95% CI: -1.03 to -0.40, P < 0.01), and the Hospital for Special Surgery Knee Score (HSS) within 1 month and between 2 months and 3 months (MD: 7.62; 95% CI: 5.77 to 9.47, P < 0.01; MD: 10.15; 95% CI: 8.03 to 12.27, P < 0.01; respectively) following TKA compared to conventional rehabilitation. No significant difference was found in terms of the Timed Up and Go (TUG) test. CONCLUSIONS VR-based rehabilitation improved pain and function but not postural control following TKA compared to conventional rehabilitation. More high-quality RCTs are needed to prove the advantage of VR-based rehabilitation. As the COVID-19 pandemic continues, it is necessary to promote this rehabilitation model.
Arthroplasty, Replacement, Knee ; COVID-19 ; Humans ; Randomized Controlled Trials as Topic ; SARS-CoV-2 ; Virtual Reality