SpacEscape – How a Mobile Game Impact Science Learning - 2019 Presidential Research Grant Report

This project used a laboratory trial to examine learner problem-solving in a mobile Serious Game (SG) environment designed for learning space science in middle school. It intends to understand if and how mobile game could impact learner problem-solving. To conduct the study, a team of 12 members worked together for six months on the design, development and testing the SpaceEscape mobile game for Android devices. The data was collected in a local middle school, and over 250 students participated in the study. We will share the highlights, findings, and future research in this report

Phase II SpacEscape Mobile Game for Learning Space Science 2020 Report

This project is the phase II of the awarded 2019 Presidential Research Grant Project SpacEscape (PRG 2020-07; https://www.harrisburgu.edu/spacescape/). By working with teachers and students from Mechanicsburg School District, Susquehanna Township Middle school, Crossroads Middle School, and Pequea Valley High school, the research team published the mobile science learning game SpacEscape to Google Play Store, introduced the game to more than 1,000 middle school students even during the pandemic, collected more data to understand how learner conduct problem-solving using mobile games, and presented the research at the Games for Change 2020 Virtual Conference to more than 500 attendees. In this report, we will share the activities, findings, and future research of the project

Improved and targeted delivery of bioactive molecules to cells with magnetic layer-by-layer assembled microcapsules

Medical Research Council, Engineering and Physical Sciences Research, Biotechnology and Biological Sciences Research Council, Royal Academy of Engineering, Russian Governmen

Solving monotone stochastic variational inequalities and complementarity problems by progressive hedging

The concept of a stochastic variational inequality has recently been articulated in a new way that is able to cover, in particular, the optimality conditions for a multistage stochastic programming problem. One of the long-standing methods for solving such an optimization problem under convexity is the progressive hedging algorithm. That approach is demonstrated here to be applicable also to solving multistage stochastic variational inequality problems under monotonicity, thus increasing the range of applications for progressive hedging. Stochastic complementarity problems as a special case are explored numerically in a linear two-stage formulation

Clustering and Alignment of Polymorphic Sequences for HLA-DRB1 Genotyping

Located on Chromosome 6p21, classical human leukocyte antigen genes are highly polymorphic. HLA alleles associate with a variety of phenotypes, such as narcolepsy, autoimmunity, as well as immunologic response to infectious disease. Moreover, high resolution genotyping of these loci is critical to achieving long-term survival of allogeneic transplants. Development of methods to obtain high resolution analysis of HLA genotypes will lead to improved understanding of how select alleles contribute to human health and disease risk. Genomic DNAs were obtained from a cohort of n = 383 subjects recruited as part of an Ulcerative Colitis study and analyzed for HLA-DRB1. HLA genotypes were determined using sequence specific oligonucleotide probes and by next-generation sequencing using the Roche/454 GSFLX instrument. The Clustering and Alignment of Polymorphic Sequences (CAPSeq) software application was developed to analyze next-generation sequencing data. The application generates HLA sequence specific 6-digit genotype information from next-generation sequencing data using MUMmer to align sequences and the R package diffusionMap to classify sequences into their respective allelic groups. The incorporation of Bootstrap Aggregating, Bagging to aid in sorting of sequences into allele classes resulted in improved genotyping accuracy. Using Bagging iterations equal to 60, the genotyping results obtained using CAPSeq when compared with sequence specific oligonucleotide probe characterized 4-digit genotypes exhibited high rates of concordance, matching at 759 out of 766 (99.1%) alleles. © 2013 Ringquist et al

Amyloid β-peptide directly induces spontaneous calcium transients, delayed intercellular calcium waves and gliosis in rat cortical astrocytes

The contribution of astrocytes to the pathophysiology of AD (Alzheimer's disease) and the molecular and signalling mechanisms that potentially underlie them are still very poorly understood. However, there is mounting evidence that calcium dysregulation in astrocytes may be playing a key role. Intercellular calcium waves in astrocyte networks in vitro can be mechanically induced after Aβ (amyloid β-peptide) treatment, and spontaneously forming intercellular calcium waves have recently been shown in vivo in an APP (amyloid precursor protein)/PS1 (presenilin 1) Alzheimer's transgenic mouse model. However, spontaneous intercellular calcium transients and waves have not been observed in vitro in isolated astrocyte cultures in response to direct Aβ stimulation in the absence of potentially confounding signalling from other cell types. Here, we show that Aβ alone at relatively low concentrations is directly able to induce intracellular calcium transients and spontaneous intercellular calcium waves in isolated astrocytes in purified cultures, raising the possibility of a potential direct effect of Aβ exposure on astrocytes in vivo in the Alzheimer's brain. Waves did not occur immediately after Aβ treatment, but were delayed by many minutes before spontaneously forming, suggesting that intracellular signalling mechanisms required sufficient time to activate before intercellular effects at the network level become evident. Furthermore, the dynamics of intercellular calcium waves were heterogeneous, with distinct radial or longitudinal propagation orientations. Lastly, we also show that changes in the expression levels of the intermediate filament proteins GFAP (glial fibrillary acidic protein) and S100B are affected by Aβ-induced calcium changes differently, with GFAP being more dependent on calcium levels than S100B

Cavernous lymphangioma of the breast

<p>Abstract</p> <p>Background</p> <p>Cavernous lymphangioma is a rare lesion in the breast of adults. Only a few cases have been documented in literature.</p> <p>Case presentation</p> <p>We describe a 38-year-old woman who presented with a palpable breast lump, which measured 5 × 4 cm. A local excision of the lump was performed and a diagnosis of cavernous lymphangioma was made. The patient is alive and well, after five years of follow-up, with no complaints or recurrence.</p> <p>Conclusion</p> <p>To the best of our knowledge, this is the first case to be documented in a black African woman. Complete surgical excision seems to be the best modality of treatment of this lesion.</p

Nernst branes in gauged supergravity

We study static black brane solutions in the context of N = 2 U(1) gauged supergravity in four dimensions. Using the formalism of first-order flow equations, we construct novel extremal black brane solutions including examples of Nernst branes, i.e. extremal black brane solutions with vanishing entropy density. We also discuss a class of non-extremal generalizations which is captured by the first-order formalism.Comment: 44 pages, 3 figures, v2: added appendix B and references, minor typographic changes, v3: added some clarifying remarks, version published in JHE

T1R3: A human calcium taste receptor

Many animals can detect the taste of calcium but it is unclear how or whether humans have this ability. We show here that calcium activates hTAS1R3-transfected HEK293 cells and that this response is attenuated by lactisole, an inhibitor of hT1R3. Moreover, trained volunteers report that lactisole reduces the calcium intensity of calcium lactate. Thus, humans can detect calcium by taste, T1R3 is a receptor responsible for this, and lactisole can reduce the taste perception of calcium by acting on T1R3