Autworks: a Cross-Disease Network Biology Application for Autism and Related Disorders

Background: The genetic etiology of autism is heterogeneous. Multiple disorders share genotypic and phenotypic traits with autism. Network based cross-disorder analysis can aid in the understanding and characterization of the molecular pathology of autism, but there are few tools that enable us to conduct cross-disorder analysis and to visualize the results. Description: We have designed Autworks as a web portal to bring together gene interaction and gene-disease association data on autism to enable network construction, visualization, network comparisons with numerous other related neurological conditions and disorders. Users may examine the structure of gene interactions within a set of disorder-associated genes, compare networks of disorder/disease genes with those of other disorders/diseases, and upload their own sets for comparative analysis. Conclusions: Autworks is a web application that provides an easy-to-use resource for researchers of varied backgrounds to analyze the autism gene network structure within and between disorders

Collegiate Experience: A Literature and Phenomenological Study on Experiential Learning in University Education

Abstract This research project explored the effectiveness of experiential learning programs within college education for producing long term, deeper understandings of the subjects being taught. To analyze the effects of experiential learning on students, a literature review and synthesis of previous experiential learning studies and research was conducted. First, research was done into studies and publications that discuss educational concepts and theories regarding learning through experience, including Experiential Learning Theory itself. Next, studies of experiential learning programs and courses within academic institutions were analyzed to determine how experiential learning has been applied in the past across a variety of disciplines and how it has affected students. And lastly, studies and literature on how these programs have been applied in professional settings and how students whose educations included experiential learning opportunities perform professionally were compiled to provide a broader view of the impact experiential learning has on students. Along with the literature review, this project included phenomenological research into experiential learning at Embry-Riddle Aeronautical University, specifically within the David O’Malley College of Business’ Professional Consulting program, where students participate in an experiential learning course. Findings from both the literature review and phenomenological research were synthesized and showed that experiential learning programs provide students with better understandings of the concepts explored and the deeper methods and theories behind the surface-level topics, which resulted in students holding onto the knowledge for longer and being able to better apply it in a wider range of scenarios, outside of those specifically explored during their education

OpenPNM: A Pore Network Modeling Package

Pore network modeling is a widely used technique for simulating multiphase transport in porous materials, but there are very few software options available. This work outlines the OpenPNM package that was jointly developed by several porous media research groups to help address this gap. OpenPNM is written in Python using NumPy and SciPy for most mathematical operations, thus combining Python's ease of use with the performance necessary to perform large simulations. The package assists the user with managing and interacting with all the topological, geometrical, and thermophysical data. It also includes a suite of commonly used algorithms for simulating percolation and performing transport calculations on pore networks. Most importantly, it was designed to be highly flexible to suit any application and be easily customized to include user-specified pore-scale physics models. The framework is fast, powerful, and concise. An illustrative example is included that determines the effective diffusivity through a partially water-saturated porous material with just 29 lines of code

Male attitudes toward equality between the sexes and desired allocation of child-rearing tasks

Thesis (Ph. D.)--Michigan State University. Department of Family and Child Psychology, 1982Includes bibliographical references (pages 99-104

Pore Network Modeling of Compressed Fuel Cell Components with OpenPNM

Pore network modeling is used to model water invasion and multiphase transport through compressed PEFC gas diffusion layers. Networks are created using a Delaunay tessellation of randomly placed base-points setting the pore locations and its compliment, the Voronoi diagram, is used to define the location of fibers and resultant pore and throat geometry. The model is validated in comparison to experimental capillary pressure curves obtained on compressed and uncompressed materials. Primary drainage is simulated with an invasion percolation algorithm that sequentially invades pores and throats separately with excellent agreement to experimental data, but required a slight modification to account for the higher aspect ratio of compressed pores. Compression is simulated by scaling the through-plane coordinates in a uniform manner representing a GDL wholly beneath the current-collector land. The relative permeability and diffusivity show some dependence on uniform compression. In-plane porosity variations introduced by land-channel compression are also investigated which have a marked effect on the limiting current. Saturation at breakthrough does not appear to be dependent on compression. However, a more important parameter, namely the peak saturation, is shown to influence the fuel cell performance and is dependent on the percolation inlet conditions

Sinter structure analysis of titanium structures fabricated via binder jetting additive manufacturing

The final publication is available at Elsevier via https://dx.doi.org/10.1016/j.matdes.2018.06.038 © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/To facilitate functional part production in metal binder jetting additive manufacturing, the relationship between materials, process and sintering needs to be understood. This work relates sintering theory with process outcomes. For this, commercially pure titanium was deployed to study the effect of powder size distributions on green and sintered part qualities (bulk density, relative density, particle size, pore size, sinter neck size). The powders were uni- and bi-modal blends of 0–45 μm, 45–106 μm, and 106–150 μm. Computed tomography analysis was used to evaluate non-densifying (1000 °C) and densifying (1400 °C) sintering regimes. For green parts, the relative density and powder size distribution along the build direction followed a periodic fluctuation equivalent to the 150 μm layer thickness. The relative density fluctuation range was higher (±20%) for bi-modal blends with 0–45 μm, compared to all other blends (±8%) due to powder segregation. For non-densifying sintering, parts with 0–45 μm blends displayed both densifying and non-densifying behavior. For densifying sintering, powders containing 0–45 μm blends surpassed the 70% density threshold expected for this sintering regime. Overall, the finer particles improved bulk density of sintered parts, at the expense of higher levels of shrinkage and density anisotropy along the build direction.Natural Sciences and Engineering Research Council of Canad

A model-driven framework for developing android-based classic multiplayer 2D board games

Mobile applications and game development are attractive fields in software engineering. Despite the advancement of programming languages and integrated development environments, there have always been many challenges for software and mobile game developers. Model-Driven Engineering (MDE) is a software engineering methodology that applies software modeling languages for modeling the problem domain. In this paradigm, the code is to be automatically generated from the models by applying different model transformations. Besides, manipulating models instead of code facilitates the discovery and resolution of errors due to the high level of abstraction. This study presents an approach and framework, called MAndroid, that generates Android-based classic multiplayer 2D board games in a fully automated fashion, relying on the concepts of MDE. Structural and behavioral dimensions of the game are first modeled in MAndroid. Models are then automatically transformed to code that can be run on any mobile phone and tablet running Android 4.4 or higher. In order to evaluate the proposed approach, three board games are fully implemented. Additionally, applicability, developer performance, simplicity and attractiveness of MAndroid are evaluated through a set of questionnaires. MAndroid is also evaluated technically by comparing it to other Android game-development frameworks. Results demonstrate the benefits of using MAndroid.PGC2018-094905-B-I00 US-1264651 RTI2018-101204-B-C21 P18-FR-289