Microgreen Growth In Microgravity Versus Earth: A UB-Student Spaceflight Experimental Project Mission 12

Faculty Research Day 2018: Student Spaceflight Experiments Program FinalistThe experiment will give us a better understanding of growing a plant in space versus Earth. The purpose of this experiment is to compare the growth rate of microgreens in gravity versus microgravity. We want to see the similarities and differences of growing microgreens in the different conditions. The Veggie system was launched in 2014 according to Herridge, L., astronauts were able to grow red romaine lettuce in 2015 at the ISS according to Foley, K.E. Instead of growing red romaine lettuce, microgreens will be used. Gardener’s Gold potting soil was chosen as the dirt for this experiment because it is all organic and plants will grow a lot faster with this brand, which also contains fertilizer. This was obtained at Ganim's Garden Center in Fairfield CT, which is also available at other garden centers as well. Microgreen seeds were used for this experiment because it’s very versatile, easy to grow, and it’s an edible plant. It was also obtained from Ganim’s Garden Center, but these seeds could be obtained almost any garden center

The Grizzly, September 8, 2016

Marcon Under Fire for Controversial Tweets • First-Year Class Smaller Than Usual • Ursinus Offers Gateway to Success • Ursinus\u27 Students Mourn the Loss of Beloved Wawa • History Department Welcomes New Professor • Student Researchers Spend Summer with NASA • Opinions: Ostrum to Marcon: Let\u27s Work Toward Inclusion; Students Happily Embrace Changes to Wismer • Spike! Ursinus Volleyball is Back in Action! • The Bears and the Bisonhttps://digitalcommons.ursinus.edu/grizzlynews/1647/thumbnail.jp

Rosanna Raymond’s SaVAge K’lub at the eighth Asia Pacific Triennial of Contemporary Art

This visual essay is based on a conversation in June 2016 between artist Rosanna Raymond and academic Karen Jacobs on Raymond’s art work, The SaVAge K’lub, with which she contributed to the eighth Asia Pacific Triennial of Contemporary Art. While this artwork challenges a variety of stereotypical misrepresentations of Pacific people and their arts, it unexpectedly appeared to reinforce certain perceptions too

Identification and Characterization of a Mef2 Transcriptional Activator in Schistosome Parasites

Myocyte enhancer factor 2 protein (Mef2) is an evolutionarily conserved activator of transcription that is critical to induce and control complex processes in myogenesis and neurogenesis in vertebrates and insects, and osteogenesis in vertebrates. In Drosophila, Mef2 null mutants are unable to produce differentiated muscle cells, and in vertebrates, Mef2 mutants are embryonic lethal. Schistosome worms are responsible for over 200 million cases of schistosomiasis globally, but little is known about early development of schistosome parasites after infecting a vertebrate host. Understanding basic schistosome development could be crucial to delineating potential drug targets. Here, we identify and characterize Mef2 from the schistosome worm Schistosoma mansoni (SmMef2). We initially identified SmMef2 as a homolog to the yeast Mef2 homolog, Resistance to Lethality of MKK1P386 overexpression (Rlm1), and we show that SmMef2 is homologous to conserved Mef2 family proteins. Using a genetics approach, we demonstrate that SmMef2 is a transactivator that can induce transcription of four separate heterologous reporter genes by yeast one-hybrid analysis. We also show that Mef2 is expressed during several stages of schistosome development by quantitative PCR and that it can bind to conserved Mef2 DNA consensus binding sequences

Predictive Power Estimation Algorithm (PPEA) - A New Algorithm to Reduce Overfitting for Genomic Biomarker Discovery

Toxicogenomics promises to aid in predicting adverse effects, understanding the mechanisms of drug action or toxicity, and uncovering unexpected or secondary pharmacology. However, modeling adverse effects using high dimensional and high noise genomic data is prone to over-fitting. Models constructed from such data sets often consist of a large number of genes with no obvious functional relevance to the biological effect the model intends to predict that can make it challenging to interpret the modeling results. To address these issues, we developed a novel algorithm, Predictive Power Estimation Algorithm (PPEA), which estimates the predictive power of each individual transcript through an iterative two-way bootstrapping procedure. By repeatedly enforcing that the sample number is larger than the transcript number, in each iteration of modeling and testing, PPEA reduces the potential risk of overfitting. We show with three different cases studies that: (1) PPEA can quickly derive a reliable rank order of predictive power of individual transcripts in a relatively small number of iterations, (2) the top ranked transcripts tend to be functionally related to the phenotype they are intended to predict, (3) using only the most predictive top ranked transcripts greatly facilitates development of multiplex assay such as qRT-PCR as a biomarker, and (4) more importantly, we were able to demonstrate that a small number of genes identified from the top-ranked transcripts are highly predictive of phenotype as their expression changes distinguished adverse from nonadverse effects of compounds in completely independent tests. Thus, we believe that the PPEA model effectively addresses the over-fitting problem and can be used to facilitate genomic biomarker discovery for predictive toxicology and drug responses

Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the “SmartHeart” EPSRC programme grant (EP/ P001009/1)

PICA aneurysms: case report and review of the literature

An aneurysm is defined as a localised dilation of a blood vessel secondary to disease or weakening of the vessel wall. Studies by radiographic and autopsy series on 10 to 15 million people have shown the prevalence of intracranial saccular aneurysms to be about 5% in the United States. Intracranial aneurysms commonly occur at bifurcations and branching points of the large arteries of the Circle of Willis. Approximately 85% of intracranial aneurysms develop in the anterior part of the Circle of Willis, with the remaining 15% found in the vertebrobasilar system. The majority of aneurysms are discovered after an episode of subarachnoid haemorrhage (SAH).</p