Dynamic Yarn-Tension Detection Using Machine Vision Combined with a Tension Observer.

Machine vision can prevent additional stress on yarn caused by contact measurement, as well as the risk of hairiness and breakage. However, the speed of the machine vision system is limited by image processing, and the tension detection method based on the axially moving model does not take into account the disturbance on yarn caused by motor vibrations. Thus, an embedded system combining machine vision with a tension observer is proposed. The differential equation for the transverse dynamics of the string is established using Hamilton's principle and then solved. A field-programmable gate array (FPGA) is used for image data acquisition, and the image processing algorithm is implemented using a multi-core digital signal processor (DSP). To obtain the yarn vibration frequency in the axially moving model, the brightest centreline grey value of the yarn image is put forward as a reference to determine the feature line. The calculated yarn tension value is then combined with the value obtained using the tension observer based on an adaptive weighted data fusion method in a programmable logic controller (PLC). The results show that the accuracy of the combined tension is improved compared with the original two non-contact methods of tension detection at a faster update rate. The system alleviates the problem of inadequate sampling rate using only machine vision methods and can be applied to future real-time control systems.

Neutrophil-to-serum iron ratio as a promising inflammatory biomarker for acute myocardial infarction and Gensini score.

Background: We aim to investigate whether the neutrophil-to-serum iron ratio (N/SI) is a promising biomarker for acute myocardial infarction group (AMI) and Gensini score. Methods: A total of 263 patients were enrolled and divided into four groups. The Gensini score was used to gauge the severity of coronary artery stenosis, and inflammatory biomarkers were calculated. Results: The N/SI was substantially higher in the AMI group than those in other groups, and N/SI was an independent risk factor for AMI. In ROC analyses, N/SI had the highest area under curve (AUC) for AMI among those inflammatory biomarkers. N/SI was also proved to be related with Gensini score. Conclusion: N/SI was discovered to be a new and effective inflammatory biomarker for AMI and Gensini score.

Peoples' health is at risk from heart illnesses. The indicators in patients' blood are often used to evaluate the severity of diseases. The authors collected 263 subjects with heart disease and reviewed their clinical data. Their blood was drawn to measure the neutrophil-to-serum iron ratio, a crucial blood biomarker. In conclusion, the level of neutrophil-to-serum iron ratio in these patients was closely associated with the stage and severity of their disease.

The Role of Macrophage Iron Overload and Ferroptosis in Atherosclerosis.

Ferroptosis is a new type of cell death caused by iron-dependent lipid peroxidation. In recent years, it has been found that ferroptosis can promote the progression of atherosclerosis (AS). Macrophages have been proven to play multiple roles in the occurrence and development of AS. Iron is a necessary mineral that participates in different functions of macrophages under physiological conditions. But iron overload and ferroptosis in macrophages may promote the progression of AS. Herein, we summarize the role of iron overload and ferroptosis in macrophages in AS from the perspective of iron metabolism, and iron overload and ferroptosis are significant contributors to AS development.

Effect of nutritional risk on cognitive function in patients with chronic obstructive pulmonary disease.

OBJECTIVE: We aimed to clarify the cognitive function of patients with chronic obstructive pulmonary disease (COPD) and different nutritional status. METHODS: Among 95 patients with COPD in this retrospective study, we administered the Nutritional Risk Screening 2002 (NRS 2002) and Mini-Mental State Examination (MMSE). We recorded patients' clinical characteristics, comorbidities, and laboratory measurements. According to NRS 2002 scores, patients were divided into two groups: no nutritional risk with NRS 2002 < 3 (n = 54) and nutritional risk, with NRS 2002 ≥ 3 (n = 41). RESULTS: We found a negative correlation between NRS 2002 and MMSE scores in participants with COPD (r = -0.313). Patients with nutritional risk were more likely to be cognitively impaired than those with no nutritional risk. Multivariate logistic regression analysis indicated that malnutrition was an independent risk factor for cognitive impairment, after adjusting for confounders (odds ratio [OR] = 4.120, 95% confidence interval [CI]: 1.072-15.837). We found a similar association between NRS 2002 and MMSE scores at 90-day follow-up using a Pearson's correlation test (r = -0.493) and logistic regression analysis (OR = 7.333, 95% CI: 1.114-48.264). CONCLUSIONS: Patients with COPD at nutritional risk are more likely to have cognitive impairment.

Relationship of Red Cell Index with the Severity of Chronic Obstructive Pulmonary Disease.

BACKGROUND: We aimed to investigate the association between red cell index (RCI) and the severity of Chronic Obstructive Pulmonary Disease (COPD), and compare predictive value of RCI, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) for the severity of COPD. METHODS: A total of 207 participants were recruited (100 COPD patients and 107 healthy controls). COPD patients were divided into two groups according to the optimal cut-off value of RCI determined by the receiver operating characteristic (ROC) curve. Pearson's correlation test, logistic regression analysis and other tests were performed. RESULTS: Compared with low RCI group, the forced expiration volume in 1 second (FEV1) and FEV1 in percent of the predicted value (FEV1%) in high RCI group were lower (p = 0.016, p = 0.001). There was a negative correlation between RCI and FEV1% (r = -0.302, p = 0.004), while no correlation between FEV1% and NLR as well as PLR were found. RCI showed higher predictive value than NLR and PLR for predicting Global Initiative for Chronic Obstructive Lung Disease classification (GOLD), with a cut-off value of 1.75 and area under the curve (AUC) of 0.729 (p = 0.001). Multivariate logistic regression analysis proved that RCI was an independent factor for lung function in COPD patients (odds ratio [OR] = 4.27, 95% CI: 1.57-11.63, p = 0.004). CONCLUSION: RCI is a novel biomarker that can better assess pulmonary function and severity of COPD than NLR and PLR. Higher RCI is related to deterioration of pulmonary function.

The Relationship of Lymphocyte to High-Density Lipoprotein Ratio with Pulmonary Function in COPD.

Purpose: This study aimed to explore the relation between lymphocyte to high-density lipoprotein ratio (LHR) and pulmonary function of chronic obstructive pulmonary disease (COPD) patients compared with neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR). Patients and Methods: In total, 154 participants (n = 77 with COPD and n = 77 without COPD) were recruited. LHR, NLR, PLR, lung function and other data were collected and compared. Pearson's correlation test and the receiver operating characteristics curves were used to compare the utility of LHR, NLR and PLR. Besides, univariate and multivariate logistic regression analyses were conducted. Results: COPD patients with poorer lung function had a lower LHR level (P < 0.001). In low LHR group, more patients underwent greater airflow limitation than the other group (P = 0.006). LHR positively correlated with forced expiratory volume in 1 second in percent of the predicted value (FEV1%) (r = 0.333, P = 0.003). At a cut-off value of 2.08, the sensitivity and specificity of LHR in predicting FEV1% < 50 were 93.2% and 55.6%, respectively, with an AUC of 0.770 (P = 0.001) better than NLR and PLR. Based on logistic regression analyses, it was proved that LHR was associated with decreased risk of FEV1 <50% predicted in COPD patients (odds ratio = 0.198, 95% CI: 0.048-0.811, P = 0.024). Conclusion: In contrast with NLR and PLR, LHR has higher accuracy for predicting pulmonary function in COPD; lower LHR level is independently associated with poorer pulmonary function.