The linear selections of metric projections in the Lp spaces

AbstractA characterization is given of those subspaces of Lp space whose metric projection is linear, and of L1, which is finitely codimensional, whose metric projection admits a linear selection

A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries.

Accurate estimation of SOC of lithium-ion batteries has always been an important work in the battery management system. However, it is often very difficult to accurately estimate the SOC of lithium-ion batteries. Therefore, a novel joint support vector machine - cubature Kalman filtering (SVM-CKF) method is proposed in this paper. SVM is used to train the output data of the CKF algorithm to obtain the model. Meanwhile, the output data of the model is used to compensate the original SOC, to obtain a more accurate estimate of SOC. After the SVM-CKF algorithm is introduced, the amount of data needed for prediction is reduced. By using Beijing Bus Dynamic Stress Test (BBDST) and the Dynamic Stress Test (DST) condition to verify the training model, the results show that the SVM-CKF algorithm can significantly improve the estimation accuracy of Lithium-ion battery SOC, and the maximum error of SOC prediction for BBDST condition is 0.800%, which is reduced by 0.500% compared with CKF algorithm. The maximum error of SOC prediction under DST condition is about 0.450%, which is 1.350% less than that of the CKF algorithm. The overall algorithm has a great improvement in generalization ability, which lays a foundation for subsequent research on SOC prediction

The effect of fog on the probability density distribution of the ranging data of imaging laser radar

This paper outlines theoretically investigations of the probability density distribution (PDD) of ranging data for the imaging laser radar (ILR) system operating at a wavelength of 905 nm under the fog condition. Based on the physical model of the reflected laser pulses from a standard Lambertian target, a theoretical approximate model of PDD of the ranging data is developed under different fog concentrations, which offer improved precision target ranging and imaging. An experimental test bed for the ILR system is developed and its performance is evaluated using a dedicated indoor atmospheric chamber under homogeneously controlled fog conditions. We show that the measured results are in good agreement with both the accurate and approximate models within a given margin of error of less than 1%

Pea albumin extracted from pea (Pisum sativum L.) seed protects mice from high fat diet-induced obesity by modulating lipid metabolism and gut microbiota

Plant protein has been reported to play a key role in the prevention of obesity and associated complications. It is unknown whether pea albumin may exert anit-obesity and obesity-associated metabolic disorders alleviation. Pea albumin was isolated from pea seed (Pisum sativum L.) and determined its functional role for anti-obesity and metabolic disorders alleviation in high fat diet (HFD)-fed mice. Pea albumin administration reduced body weight gain, improved glucose tolerance and insulin sensitivity, reduced inflammatory cytokines secretion, and alleviated hepatic steatosis in HFD-fed mice. Interestingly, pea albumin inhibited lipid accumulation in 3T3-L1 cells in vitro and modulated lipid metabolism by upregulating critical proteins implicated in lipolysis and fatty acid oxidation, and downregulating lipogenesis in vivo. Moreover, pea albumin restored gut microbial composition to normal fat diet condition and selectively promoted the growth of beneficial gut bacteria (Akkermansia, Parabacteroides etc.). Collectively, the data demonstrated that pea albumin protects mice from HFD-induced obesity and associated metabolic disorders

Electrocardiographic features of immune checkpoint inhibitor-associated myocarditis.

Immune checkpoint inhibitors (ICIs) are associated with immune-related adverse events including myocarditis, whilst improving cancer-related outcomes. There is thus a clinical need to identify electrocardiographic manifestations of ICI-related myocarditis to guide clinical management. PubMed was searched for clinical studies and case reports describing electrocardiographic changes in patients with ICI-related myocarditis. A total of six clinical studies and 79 case reports were included. This revealed a range of presentations for patients on ICIs, including supraventricular arrhythmias, ventricular arrhythmias and heart block, and new changes of ST-T segment unrelated to coronary artery disease, ST-segment elevation or depression and T-wave abnormalities. Several patients showed low voltages in multiple leads and new onset Q-wave development. Patients with ICI-related myocarditis may develop new arrhythmia and ST-T changes, and infrequently low voltages in multiple leads. [Abstract copyright: Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Stabilities of one-dimensional stationary states of Bose-Einstein condensates

We explore the dynamical stabilities of a quasi-one dimensional (1D) Bose-Einstein condensate (BEC) consisting of fixed $N$ atoms with time-independent external potential. For the stationary states with zero flow density the general solution of the perturbed time evolution equation is constructed, and the stability criterions concerning the initial conditions and system parameters are established. Taking the lattice potential case as an example, the stability and instability regions on the parameter space are found. The results suggest a method for selecting experimental parameters and adjusting initial conditions to suppress the instabilities.Comment: 12 page

Prognostic value of cardiovascular magnetic resonance in immune checkpoint inhibitor‐associated myocarditis: A systematic review and meta‐analysis

Background: Immune checkpoint inhibitors (ICI) are increasingly used in the first‐line treatment of malignant tumors. There is increasing recognition of their cardiotoxicity and, in particular, their potential to lead to myocarditis. Cardiovascular magnetic resonance (CMR) can quantify pathological changes, such as myocardial edema and fibrosis. The purpose of this systematic review and meta‐analysis was to examine the evidence for the roles of CMR in predicting prognosis in ICI‐associated myocarditis. Methods: PubMed, Cochrane Library, and Web of Science databases were searched until October 2023 for published works investigating the relationship between CMR parameters and adverse events in patients with ICI‐associated myocarditis. The analysis included studies reporting the incidence of late gadolinium enhancement (LGE), T1 values, T2 values, and CMR‐derived left ventricular ejection fraction (LVEF). Odds ratios (OR) and weighted mean differences (WMD) were combined for binary and continuous data, respectively. Newcastle‐Ottawa Scale was used to assess the methodological quality of the included studies. Results: Five cohort studies were included (average age 65–68 years; 25.4% female). Of these, four studies were included in the meta‐analysis of LGE‐related findings. Patients with major adverse cardiovascular events (MACE) had a higher incidence of LGE compared with patients without MACE (OR = 4.18, 95% CI: 1.72–10.19, p = 0.002). A meta‐analysis, incorporating data from two studies, showed that patients who developed MACE exhibited significantly higher T1 value (WMD = 36.16 ms, 95% CI: 21.43–50.89, p < 0.001) and lower LVEF (WMD = − 8.00%, 95% CI: −13.60 to −2.40, p = 0.005). Notably, T2 value (WMD = −0.23 ms, 95% CI: −1.86 to −1.39, p = 0.779) was not associated with MACE in patients with ICI‐related myocarditis. Conclusions: LGE, T1 value, and LVEF measured by CMR imaging have potential prognostic value for long‐term adverse events in patients with ICI‐related myocarditis