151 research outputs found
Phase I analysis of hidden operating status for wind turbine
Data-driven methods based on Supervisory Control and Data Acquisition (SCADA)
become a recent trend for wind turbine condition monitoring. However, SCADA
data are known to be of low quality due to low sampling frequency and complex
turbine working dynamics. In this work, we focus on the phase I analysis of
SCADA data to better understand turbines' operating status. As one of the most
important characterization, the power curve is used as a benchmark to represent
normal performance. A powerful distribution-free control chart is applied after
the power generation is adjusted by an accurate power curve model, which
explicitly takes into account the known factors that can affect turbines'
performance. Informative out-of-control segments have been revealed in real
field case studies. This phase I analysis can help improve wind turbine's
monitoring, reliability, and maintenance for a smarter wind energy system
Interferense of Host Innate Immune Response by Hepatitis E Virus
The host antiviral innate immunity mainly relies on host pattern recognition receptors (PRR) and downstream interferon (IFN) signaling. Host PRR for RNA viruses include Toll-like receptors (TLR) and Retinoic acid-inducible gene I (RIG-I) like receptors (RLR). Activation of both TLR and RLR pathways can eventually lead to the secretion of type I IFNs, which can modulate both innate and adaptive immune responses against viral pathogens, including hepatitis E virus (HEV). HEV causes acute hepatitis in humans and has been responsible for several outbreaks of hepatitis across the world. Currently, no commercial vaccine is available for the prevention of HEV infection in any country except China. HEV biology and pathogenesis as well as its responses to host innate immunity are poorly understood, though other hepatitis viruses, including the hepatitis A, B and C viruses, have been much better studied. In this study, how HEV interferes with IFN induction and IFN-activated signaling had been examined. Results showed that the protein encoded by HEV ORF1 can inhibit type I IFN synthesis and downstream JAK/STAT signaling pathway. However, the HEV ORF3 product is able to enhance RIG-I-mediated signaling to a certain extent. These data suggest that HEV proteins interfere with the host innate immune response and may exert the diverse roles depending on the stage and/or context of infection. These studies contribute to a better understanding of HEV pathogenesis and may facilitate a strategy development for the prevention and control of HEV infection
Multiple epigenetic modification profiles reveal the tumor immune microenvironment and clinical outcomes of uveal melanoma
Uveal melanoma (UM) is an aggressive intraocular cancer that, in 50% of cases, spreads to the patientâs other systems. The exact cause of the increased metastatic rate is still unknown. Methylation and immune response, metastasis, and the expansion of cancer cells are closely related. Additionally, proteins linked to RNA methylation have come to light as possible cancer treatment targets. However, the relationship between methylation-related genes (MRGs) and the tumor microenvironment (TME) is still not understood. The goal of this work was to discover important MRGs and create a signature for UM patientsâ prognosis prediction. Using two different data sets, we examined the MRG expression patterns in the transcriptional and genomic regions of 106 UM samples. We discovered a connection between the clinicopathological traits of the patients, their prognosis, the capability of TME cells to infiltrate, and various MRG changes. Following that, we developed an MRGs signature to forecast prognosis, and we evaluated the modelâs precision in patients with UM. We grouped the patients into multiple categories based on their clinical traits, looked at the survival rates for various groups within various groupings, and tested their accuracy. Additionally, to increase the practical usability of the MRGs model, we created a very accurate nomogram. TIDE scores were higher in the low-risk group. We go over how MGRs could impact UMâs TME, immunotherapy responsiveness, prognosis, and clinically significant features. We looked for different chemotherapeutic drugs and cutting-edge targeted agents for patients in diverse subgroups in order to better understand MRGs in UM. This helped in the creation of customized therapy to open new doors. We could also further research the prognosis and develop more efficient immunotherapy regimens
A Role for Cardiac Glycosides in GBM Therapy
There is a pressing need for new effective therapeutic strategies to treat glioblastoma (GBM). Cardiac glycoside compounds consisting of both cardenolides and bufadienolides have been shown to possess potent activity against GBM cell lines and in vivo GBM tumors. In addition, recent research has shown that certain cardiac glycoside compounds contribute to an additive and even synergistic manner with the standard of care GBM treatments such as radiotherapy and chemotherapy. Finally, the finding that cardiac glycosides may offer a unique role in the control of GBM stem cells offers hope for better therapeutic outcomes in treating this deadly form of brain cancer
AllâInâOne OsciDrop Digital PCR System for Automated and Highly Multiplexed Molecular Diagnostics
Digital PCR (dPCR) holds immense potential for precisely detecting nucleic acid markers essential for personalized medicine. However, its broader application is hindered by high consumable costs, complex procedures, and restricted multiplexing capabilities. To address these challenges, an allâinâone dPCR system is introduced that eliminates the need for microfabricated chips, offering fully automated operations and enhanced multiplexing capabilities. Using this innovative oscillationâinduced droplet generation technique, OsciDrop, this system supports a comprehensive dPCR workflow, including precise liquid handling, pipetteâbased droplet printing, in situ thermocycling, multicolor fluorescence imaging, and machine learningâdriven analysis. The system's reliability is demonstrated by quantifying reference materials and evaluating HER2 copy number variation in breast cancer. Its multiplexing capability is showcased with a quadruplex dPCR assay that detects key EGFR mutations, including 19Del, L858R, and T790M in lung cancer. Moreover, the digital stepwise melting analysis (dSMA) technique is introduced, enabling highâmultiplex profiling of seven major EGFR variants spanning 35 subtypes. This innovative dPCR system presents a costâeffective and versatile alternative, overcoming existing limitations and paving the way for transformative advances in precision diagnostics
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