2,101 research outputs found

    Experiences Participating in Online Synchronous Lectures During COVID-19 Emergency Remote Teaching for First- and Non-First-Generation Students

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    Background: During the COVID-19 pandemic, emergency remote teaching (ERT) was implemented in the U.S., and some of the most vulnerable college students struggled to adapt. Purpose: The current study sought to understand the experiences and outcomes of undergraduate students enrolled in radiography programs while participating in synchronous online lectures during ERT, especially first-generation students. Specifically, this study focused on students who participated in class lectures that were taught online in a live and synchronous format due to COVID-19 stay-at-home orders. Methods: This study utilized a retrospective and longitudinal design where participants were asked to answer a series of questions retrospectively at two points in time with each question forming a pair. Survey participants were enrolled as students during ERT in 2020 through 2021 and participated in class lectures that were taught online in a live and synchronous format due to COVID-19 stay-at-home orders. Results: Wilcoxon Signed-Rank and Spearman Rank-Order tests suggest that ERT has affected the experiences and outcomes of students enrolled in radiography programs, with more pronounced negative effects for first-generation students. Conclusion and Recommendations: The researchers recommend yearly and preventative planning across three academic and administrative areas to include training, support, and technology as essential strategies for delivering remote education, specifically online synchronous lectures, in the context of ERT situations. Strategies in these three areas will keep the academic success of the most vulnerable and underserved college student populations at the forefront during emergency remote teaching scenarios

    Predictors of Success on the Credentialing Examination in Radiography for First- and Non-First-Generation Students

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    Background: Identifying predictors of student success is fundamental across higher education in the United States, particularly for historically underserved first-generation students. In radiologic technology programs, the literature suggests that variables prior to and during matriculation in these programs affects scores on the American Registry of Radiologic Technologists (ARRT) credentialing examination in Radiography. However, the evidence in this area has not considered the educational patterns for first-generation students. Purpose: This study sought to improve our understanding about how select student background characteristics and experiences prior to and during the years enrolled in radiologic technology programs accredited by the Joint Review Committee on Education in Radiologic Technology (JRCERT) affect scores on the ARRT credentialing examination in radiography, especially for first-generation students. Method: The researchers surveyed graduates from radiologic technology programs in 2018 and 2019 who attempted the radiography credentialing examination in these two years. Results: A total of 286 cases were included in the analysis, which revealed different patterns and effects of predictor variables on credentialing examination scores for first- and non-first-generation students. Whereas 10 variables prior to and during matriculation affected examination scores for first-generation students, only 8 did for their non-first-generation peers. Conclusion: Identifying predictors of success in radiologic technology programs helps professionals in these programs design environments that provide opportunities for students to enhance their chances to be successful on the Radiography exam, especially first-generation students

    Cognitive Skills Development Among International Students at Research Universities in the United States

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    Set in the context of a statewide research university system, this study attempted to improve our understanding of cognitive skills development among international students. Specifically, this study examined how the patterns and predictors of cognitive skills development among this population differ from their domestic counterparts. The study utilized data from the 2010 University of California Undergraduate Experience Survey (UCUES). This study identified unique patterns in both cognitive skills development and college experiences among international students. Findings also suggest that some college experiences, such as research engagement with faculty and satisfaction with advising, can possibly facilitate greater gains in cognitive skills among international students. The study discusses the theoretical and practical implications of the findings

    Identification and validation of oncologic miRNA biomarkers for Luminal A-like breast cancer

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    Introduction: Breast cancer is a common disease with distinct tumor subtypes phenotypically characterized by ER and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression, and altered miRNA expression has been demonstrated in a variety of cancer states presenting the potential for exploitation as cancer biomarkers. Blood provides an excellent medium for biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A-like (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. Methods: Blood samples were prospectively collected from patients with Luminal A-like breast cancer (n=54) and controls (n=56). RNA was extracted, reverse transcribed and subjected to microarray analysis (n=10 Luminal A-like; n=10 Control). Differentially expressed miRNAs were identified by artificial neural network (ANN) data-mining algorithms. Expression of specific miRNAs was validated by RQ-PCR (n=44 Luminal A; n=46 Control) and potential relationships between circulating miRNA levels and clinicopathological features of breast cancer were investigated. Results: Microarray analysis identified 76 differentially expressed miRNAs. ANN revealed 10 miRNAs for further analysis ( miR-19b, miR-29a, miR-93, miR-181a, miR-182, miR-223, miR-301a, miR-423-5p, miR-486-5 and miR-652 ). The biomarker potential of 4 miRNAs ( miR-29a, miR-181a , miR-223 and miR-652 ) was confirmed by RQ-PCR, with significantly reduced expression in blood of women with Luminal A-like breast tumors compared to healthy controls (p=0.001, 0.004, 0.009 and 0.004 respectively). Binary logistic regression confirmed that combination of 3 of these miRNAs ( miR-29a, miR-181a and miR-652 ) could reliably differentiate between cancers and controls with an AUC of 0.80. Conclusion: This study provides insight into the underlying molecular portrait of Luminal A-like breast cancer subtype. From an initial 76 miRNAs, 4 were validated with altered expression in the blood of women with Luminal A-like breast cancer. The expression profiles of these 3 miRNAs, in combination with mammography, has potential to facilitate accurate subtype- specific breast tumor detection

    Radiation background with the CMS RPCs at the LHC

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    The Resistive Plate Chambers (RPCs) are employed in the CMS Experiment at the LHC as dedicated trigger system both in the barrel and in the endcap. This article presents results of the radiation background measurements performed with the 2011 and 2012 proton-proton collision data collected by CMS. Emphasis is given to the measurements of the background distribution inside the RPCs. The expected background rates during the future running of the LHC are estimated both from extrapolated measurements and from simulation

    Web-based monitoring tools for Resistive Plate Chambers in the CMS experiment at CERN

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    The Resistive Plate Chambers (RPC) are used in the CMS experiment at the trigger level and also in the standard offline muon reconstruction. In order to guarantee the quality of the data collected and to monitor online the detector performance, a set of tools has been developed in CMS which is heavily used in the RPC system. The Web-based monitoring (WBM) is a set of java servlets that allows users to check the performance of the hardware during data taking, providing distributions and history plots of all the parameters. The functionalities of the RPC WBM monitoring tools are presented along with studies of the detector performance as a function of growing luminosity and environmental conditions that are tracked over time

    Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

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    The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD

    The Negative Feedback-Loop between the Oncomir Mir-24-1 and Menin Modulates the Men1 Tumorigenesis by Mimicking the “Knudson’s Second Hit”

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    Multiple endocrine neoplasia type 1 (MEN1) syndrome is a rare hereditary cancer disorder characterized by tumors of the parathyroids, of the neuroendocrine cells, of the gastro-entero-pancreatic tract, of the anterior pituitary, and by non-endocrine neoplasms and lesions. MEN1 gene, a tumor suppressor gene, encodes menin protein. Loss of heterozygosity at 11q13 is typical of MEN1 tumors, in agreement with the Knudson’s two-hit hypothesis. In silico analysis with Target Scan, Miranda and Pictar-Vert softwares for the prediction of miRNA targets indicated miR-24-1 as capable to bind to the 3′UTR of MEN1 mRNA. We investigated this possibility by analysis of miR-24-1 expression profiles in parathyroid adenomatous tissues from MEN1 gene mutation carriers, in their sporadic non-MEN1 counterparts, and in normal parathyroid tissue. Interestingly, the MEN1 tumorigenesis seems to be under the control of a “negative feedback loop” between miR-24-1 and menin protein, that mimics the second hit of Knudson’s hypothesis and that could buffer the effect of the stochastic factors that contribute to the onset and progression of this disease. Our data show an alternative way to MEN1 tumorigenesis and, probably, to the “two-hit dogma”. The functional significance of this regulatory mechanism in MEN1 tumorigenesis is also the basis for opening future developments of RNA antagomir(s)-based strategies in the in vivo control of tumorigenesis in MEN1 carriers

    "Galileo Galilei" (GG) a small satellite to test the equivalence principle of Galileo, Newton and Einstein

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    "Galileo Galilei" (GG) is a small satellite designed to fly in low Earth orbit with the goal of testing the Equivalence Principle-which is at the basis of the General Theory of Relativity-to 1 part in 1017. If successful, it would improve current laboratory results by 4 orders of magnitude. A confirmation would strongly constrain theories; proof of violation is believed to lead to a scientific revolution. The experiment design allows it to be carried out at ambient temperature inside a small 1-axis stabilized satellite (250 kg total mass). GG is under investigation at Phase A-2 level by ASI (Agenzia Spaziale Italiana) at Thales Alenia Space in Torino, while a laboratory prototype (known as GGG) is operational at INFN laboratories in Pisa, supported by INFN (Istituto Nazionale di fisica Nucleare) and ASI. A final study report will be published in 2009

    Drug-Induced Regulation of Target Expression

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    Drug perturbations of human cells lead to complex responses upon target binding. One of the known mechanisms is a (positive or negative) feedback loop that adjusts the expression level of the respective target protein. To quantify this mechanism systems-wide in an unbiased way, drug-induced differential expression of drug target mRNA was examined in three cell lines using the Connectivity Map. To overcome various biases in this valuable resource, we have developed a computational normalization and scoring procedure that is applicable to gene expression recording upon heterogeneous drug treatments. In 1290 drug-target relations, corresponding to 466 drugs acting on 167 drug targets studied, 8% of the targets are subject to regulation at the mRNA level. We confirmed systematically that in particular G-protein coupled receptors, when serving as known targets, are regulated upon drug treatment. We further newly identified drug-induced differential regulation of Lanosterol 14-alpha demethylase, Endoplasmin, DNA topoisomerase 2-alpha and Calmodulin 1. The feedback regulation in these and other targets is likely to be relevant for the success or failure of the molecular intervention
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