70 research outputs found
Transition in Hypersonic Boundary Layers: Role of Dilatational Waves
Transition and turbulence production in a hypersonic boundary layer is
investigated in a Mach 6 quiet wind tunnel using Rayleigh-scattering
visualization, fast-response pressure measurements, and particle image
velocimetry. It is found that the second instability acoustic mode is the key
modulator of the transition process. The second mode experiences a rapid growth
and a very fast annihilation due to the effect of bulk viscosity. The second
mode interacts strongly with the first vorticity mode to directly promote a
fast growth of the latter and leads to immediate transition to turbulence.Comment: 5 pages, 6 figure
TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection
In this paper, we present an interactive visual analytics system, Triple Perspective Visual Trajectory Analytics (TripVista), for exploring and analyzing complex traffic trajectory data. The users are equipped with a carefully designed interface to inspect data interactively from three perspectives (spatial, temporal and multidimensional views). While most previous works, in both visualization and transportation research, focused on the macro aspects of traffic flows, we develop visualization methods to investigate and analyze microscopic traffic patterns and abnormal behaviors. In the spatial view of our system, traffic trajectories with various presentation styles are directly interactive with user brushing, together with convenient pattern exploration and selection through ring-style sliders. Improved ThemeRiver, embedded with glyphs indicating directional information, and multiple scatterplots with time as horizontal axes illustrate temporal information of the traffic flows. Our system also harnesses the power of parallel coordinates to visualize the multi-dimensional aspects of the traffic trajectory data. The above three view components are linked closely and interactively to provide access to multiple perspectives for users. Experiments show that our system is capable of effectively finding both regular and abnormal traffic flow patterns.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000316816300021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Theory & MethodsEngineering, Electrical & ElectronicEICPCI-S(ISTP)2
Prognostic markers of ferroptosis-related long non-coding RNA in lung adenocarcinomas
Ferroptosis is a recently established type of iron-dependent programmed cell death. Growing studies have focused on the function of ferroptosis in cancers, including lung adenocarcinoma (LUAD). However, the factors involved in the regulation of ferroptosis-related genes are not fully understood. In this study, we collected data from lung adenocarcinoma datasets of the Cancer Genome Atlas (TCGA-LUAD). The expression profiles of 60 ferroptosis-related genes were screened, and two differentially expressed ferroptosis subtypes were identified. We found the two ferroptosis subtypes can predict clinical outcomes and therapeutic responses in LUAD patients. Furthermore, key long non-coding RNAs (lncRNAs) were screened by single factor Cox and least absolute shrinkage and selection operator (LASSO) based on which co-expressed with the 60 ferroptosis-related genes. We then established a risk score model which included 13 LUAD ferroptosis-related lncRNAs with a multi-factor Cox regression. The risk score model showed a good performance in evaluating the outcome of LUAD. What’s more, we divided TCGA-LUAD tumor samples into two groups with high- and low-risk scores and further explored the differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration among different LUAD tumor risk score groups and evaluate the predictive ability of risk score for immunotherapy benefit. Our findings provide good support for immunotherapy in LUAD in the future
Age-Specific Prevalence of Visual Impairment and Refractive Error in Children Aged 3-10 Years in Shanghai, China
A comparison of the burden of knee osteoarthritis attributable to high body mass index in China and globally from 1990 to 2019
BackgroundExcess body mass index (BMI) plays a key role in the onset and progression of knee osteoarthritis (knee OA). However, the burden of knee OA attributable to high BMI at the global, Chinese, and regional levels have received far too little attention. The aim of this study is to provide evidence to support the design of policy by investigating long-term trends of years lived with disability (YLDs) for knee OA.MethodsTo illustrate the trends of YLDs for knee OA attributable to high BMI and the temporal trends of the YLDs rate by age, period, and cohort, Joinpoint regression software and age-period-cohort (APC) were used to analyze the YLDs data of knee OA from the Global Burden of Disease (GBD) 2019.ResultsIn China, there were 549,963.5 YLDs for knee OA attributable to high BMI in 2019, which had increased by 460.7% since 1990. From 1990 to 2019, age-standardized disability-adjusted life year rate (ASDR) of knee OA attributable to high BMI trended upwards. The average annual percent change (AAPC) of knee OA attributable to high BMI in China and globe were 3.019, 1.419%, respectively. The longitudinal age curve of the APC model showed that the YLDs rates of knee OA due to high BMI increased with age, and YLDs rates were higher among females than males. The period rate ratios (RRs) of knee OA due to high BMI increased significantly. The cohort RRs of knee OA due to high BMI increased among those born between 1900 and 1970. The net drifts of knee OA attributable to high BMI in China and globe were above 1. Compared with global condition, the net drift values of knee OA attributable to high BMI in China was higher. Compared with females, males had higher net drift value. Countries with high socio-demographic index (SDI) have a much higher burden of knee OA caused by high BMI than countries with low SDI.ConclusionIn China, high BMI is a substantial cause of knee OA, the incidence of which has been increasing since 1990. In addition, women and the elderly are more vulnerable to knee OA caused by high BMI. The Chinese government must take the long-term impact of high BMI on knee OA into account and implement effective public health policies and resort to interventions to reduce the burden as soon as possible
Fibronectin 1: A Potential Biomarker for Ovarian Cancer
Object. Ovarian cancer is one of the most common cancers among females with high mortality rate, due to most patients diagnosed at the advanced stage of the disease. Seeking new biomarkers for ovarian cancer detection and progress indication is really important for the patients. Methods. OVCAR3 and A2780 are the two common cell lines that are used for ovarian cancer studies. The different invasion and migration abilities were observed by scratch tests and transwell experiments in our preliminary study. Gene chip was used to screen the expression gene in these two different cell lines, and then, the differentially expressed genes (at least 2-fold difference, P value < 0.05) were analyzed using KEGG. Result. Fibronectin 1 (FN1) was found to be the most strongly correlated with the invasion and migration abilities of the OVCAR3 cells. Real-time PCR and FN1 knockout cell line was conducted and confirmed this finding. Based on the Oncomine database analysis, comparing with normal people, ovarian cancer patients exhibited high levels of FN1 expression. Additionally, higher FN1 expression was found in patients with higher FIGO stages of cancer. Conclusion. FN1 could be a new biomarker for ovarian cancer detection and progress indicator
Amphiphilic dendritic nanomicelle-mediated co-delivery of 5-fluorouracil and doxorubicin for enhanced therapeutic efficacy
Shaping Interconnect for Uniform Current Density *
As the VLSI technology scaling down, the electromigration problem becomes one of the major concerns in high-performance IC design for both power network and signal interconnects. For a uniform width metal interconnect, the current flows through the driving point is much larger than that flows through the fan-out point since much of current bypasses to the ground through the parasitic capacitance. This causes the lifetime of driving point to be quite shorter than that of fanout point due to electromigration. In order to avoid breakdown at the driving point, wire sizing is an effective solution. Thus we present a wire shape, of which the current density as well as the lifetime is uniform along the wire. SPICE simulation results show the uniformity of current density of this wire shape. Under the same current density bound, we demonstrate that chip area and power consumption are significantly reduced for this wire shape compared to the uniform width wire. The wire shape functions we derived are continuous. However, it is not necessary to ultra-accurately reproduce the continuous shape on the silicon, since we can round the continuous shape to the nearest available litho width and this will not degrade the uniformity of current density. 1
Biomedical Potentialities of Silver Nanoparticles for Clinical Multiple Drug-Resistant Acinetobacter baumannii
Multidrug-resistant A. baumannii is increasingly recognized as a significant problem in hospitals and causes high morbidity and mortality. Here, we studied the antibacterial effects of AgNPs on clinically isolated multiple drug-resistant A. baumannii, and search for the potential antibacterial mechanism. Based on the results from the colony-forming unit (CFU) method, flow cytometry (FC), and a BrdU ELISA, we conclude that AgNPs can simultaneously induce apoptosis and inhibit new DNA synthesis in bacteria in a concentration-dependent manner. This study presents the first discussion of an antibacterial effect by AgNPs in clinically isolated, multidrug-resistant A. Baumannii and provides a new strategy for the use of silver nanoparticles in the multidrug-resistant A. Baumannii clinical problem
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