139 research outputs found

    Following the Mobile Student: Can We Develop the Capacity for a Comprehensive Database to Assess Student Progression?

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    Presents a study of state-level databases on postsecondary student retention and completion rates and the feasibility of tracking students across state lines. Outlines challenges and recommendations, including establishing a common reporting standard

    Interactive EKG Model

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    This study explores the creation of a teaching tool to better enable medical students to understand the relationship between electrocardiogram (EKG) waves and the electrical activity within the heart. By having a greater depth of knowledge about EKG signals, the medical students should be able to accurately diagnose different cardiac related symptoms. We have designed and built two models which could be used in a lecture hall setting. One model accurately displayed the electrical activity of Ventricular Tachycardia, several Myocardial Infarctions, Ventricular Fibrillation, and Atrial Fibrillation in synchronization with each EKG waveform. A second model indicates the correct placement of EKG leads on a human torso and the various views of the heart that result from these leads

    Exploring Efficient Irrigation Methods for the Pueblo of Santa Ana

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    The goal of this project was to assist the Pueblo of Santa Ana Water Division’s efforts to increase irrigation efficiency by proposing an irrigation plan for the newly acquired Northern Field. We designed multiple layouts for the field to try to optimize the area of the field, water efficiency, as well as monetary cost to implement an irrigation system on the Northern Field. We provided a breakdown of the monetary costs for each irrigation layouts we designed for the Northern Field, and also designed a new platform for communication between the farmers and the Mayordomo to help scheduling and to eliminate wasteful irrigation practices. Finally, we used our analysis to provide recommendations that would best fit the Pueblo’s cultural values and practical needs

    Maternal Depression Trajectories and Child BMI in a Multi-Ethnic Sample: A Latent Growth Modeling Analysis

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    Background Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum. Methods This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897). Results The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, pppχ2 (9) = 39.60, p \u3c .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213). Conclusions Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health

    Maternal Depression Trajectories and Child BMI in a Multi-Ethnic Sample: A Latent Growth Modeling Analysis

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    Background Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum. Methods This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897). Results The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, pppχ2 (9) = 39.60, p \u3c .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213). Conclusions Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health

    Alcohol promotes breast cancer cell invasion by regulating the Nm23-ITGA5 pathway

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    <p>Abstract</p> <p>Background</p> <p>Alcohol consumption is an established risk factor for breast cancer metastasis. Yet, the mechanism by which alcohol promotes breast cancer metastases is unknown. The ability of cancer cells to invade through tissue barriers (such as basement membrane and interstitial stroma) is an essential step towards establishing cancer metastasis. In the present study, we identify and examine the roles of two genes, <it>Nm23 </it>and <it>ITGA5</it>, in alcohol-induced breast cancer cell invasion.</p> <p>Methods</p> <p>Human breast cancer T47D cells were treated with ethanol at various concentrations. Boyden chamber invasion assays were used to measure cellular invasive ability. The mRNA expression level of metastasis suppressor genes including <it>Nm23 </it>was determined by qRT-PCR. <it>ITGA5 </it>was identified using a qRT-PCR array of 84 genes important for cell-cell and cell-extracellular matrix interactions. <it>Nm23 </it>overexpression in addition to <it>Nm23</it>- and <it>ITGA5 </it>knock-down were used to determine the role of the Nm23-ITGA5 pathway on cellular invasive ability of T47D cells. Protein expression levels were verified by Western blot.</p> <p>Results</p> <p>Alcohol increased the invasive ability of human breast cancer T47D cells in a dose-dependent manner through the suppression of the <it>Nm23 </it>metastatic suppressor gene. In turn, <it>Nm23 </it>down-regulation increased expression of fibronectin receptor subunit <it>ITGA5</it>, which subsequently led to increased cellular invasion. Moreover, <it>Nm23 </it>overexpression was effective in suppressing the effects of alcohol on cell invasion. In addition, we show that the effects of alcohol on invasion were also inhibited by knock-down of <it>ITGA5</it>.</p> <p>Conclusions</p> <p>Our results suggest that the Nm23-ITGA5 pathway plays a critical role in alcohol-induced breast cancer cell invasion. Thus, regulation of this pathway may potentially be used to prevent the establishment of alcohol-promoted metastases in human breast cancers.</p

    A Whole-Chromosome Analysis of Meiotic Recombination in Drosophila melanogaster

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    Although traditional genetic assays have characterized the pattern of crossing over across the genome in Drosophila melanogaster, these assays could not precisely define the location of crossovers. Even less is known about the frequency and distribution of noncrossover gene conversion events. To assess the specific number and positions of both meiotic gene conversion and crossover events, we sequenced the genomes of male progeny from females heterozygous for 93,538 X chromosomal single-nucleotide and InDel polymorphisms. From the analysis of the 30 F1 hemizygous X chromosomes, we detected 15 crossover and 5 noncrossover gene conversion events. Taking into account the nonuniform distribution of polymorphism along the chromosome arm, we estimate that most oocytes experience 1 crossover event and 1.6 gene conversion events per X chromosome pair per meiosis. An extrapolation to the entire genome would predict approximately 5 crossover events and 8.6 conversion events per meiosis. Mean gene conversion tract lengths were estimated to be 476 base pairs, yielding a per nucleotide conversion rate of 0.86 × 10−5 per meiosis. Both of these values are consistent with estimates of conversion frequency and tract length obtained from studies of rosy, the only gene for which gene conversion has been studied extensively in Drosophila. Motif-enrichment analysis revealed a GTGGAAA motif that was enriched near crossovers but not near gene conversions. The low-complexity and frequent occurrence of this motif may in part explain why, in contrast to mammalian systems, no meiotic crossover hotspots have been found in Drosophila
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