An Investigation of High-Order Polygonal Wheel Wear in High-speed Rail Vehicles

The wheel polygonalization, regarded as a periodic radial defect on the wheel circumference, has been observed in high-speed rail vehicles during the recent year. Such periodic defects of the wheel tread, especially the high-order wheel polygonalization, cause high magnitude and high-frequency variation in the wheel/rail contact forces, considerable axle box vibration, and stresses in the vehicle and track components, and thus in-service fatigue failures. The mechanism leading to high-order polygonal wear of the wheels, however, is not yet fully understood, although its adverse effects on dynamic responses of the vehicle have been reported in a few studies. This dissertation research focuses on the mechanisms leading to evolution of wheel tread polygonalization and its effects on dynamic responses of the coupled vehicle/track system. A coupled vehicle/track dynamic model was initially developed to investigate the influences of discrete wheel defects as well as wheel polygonalization. Owing to the high-frequency nature of the wheel-rail impact force, the wheelset and slab track were modeled as flexible bodies, which were integrated into the vehicle model using the modal superposition method. The multi-body dynamic model was formulated for a typical high-speed train rail car while the track was modeled considering the rail as a Timoshenko beam discretely supported on a flexible track slab. The validity of the proposed coupled model was demonstrated by comparing the simulation model results with those available from the reported studies and acquired from a long-term field test program. The results obtained under excitations arising from a wheel flat or a polygonal wheel revealed substantial effects of wheelset flexibility on the peak wheel/rail creepage, axle box acceleration and stress in the wheelset axle shaft. The high order polygonal wheel wear also resulted in substantially higher frequency variations in the wheel-rail contact forces, which could excite vibration modes of the wheelset and the axle box. A long-term field test campaign, involving measurements of changes in the wheel surface irregularities and the axle box acceleration responses, was undertaken on a high-speed rail vehicle to characterize wheel polygonalization and its growth rate. The wheel re-profiling process was found to be the main casual factor of initial wheel irregularities, which could be characterized by the third harmonic order. The measured data revealed that initial wear can rapidly propagate into polygonal wear of order 18, likely due to high-frequency wheel-rail impact loads. The results also revealed strong positive correlation between the axle box acceleration and roughness level of the wheel polygonalization. The simulation results showed that high-frequency wheel-rail impacts excite bending deformation modes of the wheelset axle shaft and the track at speeds exceeding 210 km/h. A long-term wear iteration scheme integrating the coupled vehicle/track dynamic model and an Archard wear model, was subsequently formulated to identify main contributors of formation of wheel polygonalization. The simulation results were analyzed to establish a better understanding of evolution of wheel polygonalization over a relatively long period. The three half wavelength rail bending vibration mode within the wheelbase length (near 650 Hz) was identified as the primary contributor to high magnitude wheel/rail contact forces in the 500 ~ 700 Hz frequency range, and the high order wheel polygonalization. The wheelset flexibility was judged as the likely contributor to the lower order wheel polygonalization. Increasing rail pad support stiffness intensified the wheel/rail coupled vibration leading to lower order wheel polygonalization. The results further showed that a higher rail pad damping could suppress the formation of high order wheel polygonalization. In addition, eliminating the initial wheel irregularities and frequent variations in the operating speed could mitigate the formation of wheel polygonalization

When do tripdoublet states fluoresce? A theoretical study of copper(II) porphyrin

Open-shell molecules rarely fluoresce, due to their typically faster non-radiative relaxation rates compared to closed-shell ones. Even rarer is the fluorescence from states that have two more unpaired electrons than the open-shell ground state, since they involve excitations from closed-shell orbitals to vacant-shell orbitals, which are typically higher in energy compared to excitations from or out of open-shell orbitals. States that are dominated by the former type of excitations are known as tripdoublet states when they can be described as a triplet excitation antiferromagnetically coupled to a doublet state, and their description by unrestricted single-reference methods (e.g., U-TDDFT) is notoriously inaccurate due to large spin contamination. In this work, we applied our spin-adapted TDDFT method, X-TDDFT, and the efficient and accurate static-dynamic-static second order perturbation theory (SDSPT2), to the study of the excited states as well as their relaxation pathways of copper(II) porphyrin; previous experimental works suggested that the photoluminescence of some substituted copper(II) porphyrins originate from a tripdoublet state, formed by a triplet ligand π → π* excitation antiferromagnetically coupled with the unpaired d electron. Our results demonstrated favorable agreement between the X-TDDFT, SDSPT2 and experimental excitation energies, and revealed noticeable improvements of X-TDDFT compared to U-TDDFT, not only for vertical excitation energies but also for adiabatic energy differences. These suggest that X-TDDFT is a reliable tool for the study of tripdoublet state fluorescence. Intriguingly, we showed that the aforementioned tripdoublet state is only slightly above the lowest doublet excited state and lies only slightly higher than the lowest quartet state, which suggests that the tripdoublet of copper(II) porphyrin is long-lived enough to fluoresce due to a lack of efficient non-radiative relaxation pathways; an explanation for this unusual state ordering is given. Indeed, thermal vibration correlation function (TVCF)-based calculations of internal conversion, intersystem crossing, and radiative transition rates confirm that copper(II) porphyrin emits thermally activated delayed fluorescence (TADF) and a small amount of phosphorescence at low temperature (83 K), in accordance with experiment. The present contribution is concluded by a few possible approaches of designing new molecules that fluoresce from tripdoublet states

Polymorphic genetic characterization of the ORF7 gene of porcine reproductive and respiratory syndrome virus (PRRSV) in China

<p>Abstract</p> <p>Background</p> <p>Porcine reproductive and respiratory syndrome virus (PRRSV) exhibits extensive genetic variation. The outbreak of a highly pathogenic PRRS in 2006 led us to investigate the extent of PRRSV genetic diversity in China. To this end, we analyzed the Nsp2 and ORF7 gene sequences of 98 Chinese PRRSV isolates.</p> <p>Results</p> <p>Preliminary analysis indicated that highly pathogenic PRRSV strains with a 30-amino acid deletion in the Nsp2 protein are the dominant viruses circulating in China. Further analysis based on ORF7 sequences revealed that all Chinese isolates were divided into 5 subgroups, and that the highly pathogenic PRRSVs were distantly related to the MLV or CH-1R vaccine, raising doubts about the efficacy of these vaccines. The ORF7 sequence data also showed no apparent associations between geographic or temporal origin and heterogeneity of PRRSV in China.</p> <p>Conclusion</p> <p>These findings enhance our knowledge of the genetic characteristics of Chinese PRRSV isolates, and may facilitate the development of effective strategies for monitoring and controlling PRRSV in China.</p

Effect of GARP on osteogenic differentiation of bone marrow mesenchymal stem cells via the regulation of TGFβ1 in vitro

Mesenchymal stem cells (MSCs), which have multipotential differentiation and self-renewal potential, are possible cells for tissue engineering. Transforming growth factor β1 (TGFβ1) can be produced by MSCs in an inactive form, and the activation of TGFβ1 functions as an important regulator of osteogenic differentiation in MSCs. Recently, studies showed that Glycoprotein A repetitions predominant (GARP) participated in the activation of latent TGFβ1, but the interaction between GARP and TGFβ1 is still undefined. In our study, we successfully isolated the MSCs from bone marrow of rats, and showed that GARP was detected in bone mesenchymal stem cells (BMSCs). During the osteogenic differentiation of BMSCs, GARP expression was increased over time. To elucidate the interaction between GARP and TGFβ1, we downregulated GARP expression in BMSCs to examine the level of active TGFβ1. We then verified that the downregulation of GARP decreased the secretion of active TGFβ1. Furthermore, osteogenic differentiation experiments, alkaline phosphatase (ALP) activity analyses and Alizarin Red S staining experiments were performed to evaluate the osteogenic capacity. After the downregulation of GARP, ALP activity and Alizarin Red S staining significantly declined and the osteogenic indicators, ALP, Runx2, and OPN, also decreased, both at the mRNA and protein levels. These results demonstrated that downregulated GARP expression resulted in the reduction of TGFβ1 and the attenuation of osteoblast differentiation of BMSCs in vitro

TL1A–DR3 interaction regulates Th17 cell function and Th17-mediated autoimmune disease

T helper type 17 (Th17) cells play an important pathogenic function in autoimmune diseases; their regulation, however, is not well understood. We show that the expression of a tumor necrosis factor receptor family member, death receptor 3 (DR3; also known as TNFRSF25), is selectively elevated in Th17 cells, and that TL1A, its cognate ligand, can promote the proliferation of effector Th17 cells. To further investigate the role of the TL1A–DR3 pathway in Th17 regulation, we generated a TL1A-deficient mouse and found that TL1A−/− dendritic cells exhibited a reduced capacity in supporting Th17 differentiation and proliferation. Consistent with these data, TL1A−/− animals displayed decreased clinical severity in experimental autoimmune encephalomyelitis (EAE). Finally, we demonstrated that during EAE disease progression, TL1A was required for the optimal differentiation as well as effector function of Th17 cells. These observations thus establish an important role of the TL1A–DR3 pathway in promoting Th17 cell function and Th17-mediated autoimmune disease

A novel dilated contextual attention module for breast cancer mitosis cell detection

Background and object: Mitotic count (MC) is a critical histological parameter for accurately assessing the degree of invasiveness in breast cancer, holding significant clinical value for cancer treatment and prognosis. However, accurately identifying mitotic cells poses a challenge due to their morphological and size diversity.Objective: We propose a novel end-to-end deep-learning method for identifying mitotic cells in breast cancer pathological images, with the aim of enhancing the performance of recognizing mitotic cells.Methods: We introduced the Dilated Cascading Network (DilCasNet) composed of detection and classification stages. To enhance the model’s ability to capture distant feature dependencies in mitotic cells, we devised a novel Dilated Contextual Attention Module (DiCoA) that utilizes sparse global attention during the detection. For reclassifying mitotic cell areas localized in the detection stage, we integrate the EfficientNet-B7 and VGG16 pre-trained models (InPreMo) in the classification step.Results: Based on the canine mammary carcinoma (CMC) mitosis dataset, DilCasNet demonstrates superior overall performance compared to the benchmark model. The specific metrics of the model’s performance are as follows: F1 score of 82.9%, Precision of 82.6%, and Recall of 83.2%. With the incorporation of the DiCoA attention module, the model exhibited an improvement of over 3.5% in the F1 during the detection stage.Conclusion: The DilCasNet achieved a favorable detection performance of mitotic cells in breast cancer and provides a solution for detecting mitotic cells in pathological images of other cancers