Virtual Probe Microscope : atomic force microscope simulator

Training multiple users on basic atomic force microscope (AFM) operation is expensive in both time and money. Using traditional classroom and lab instruction to train AFM users does not allow for sufficient hands-on training with the actual equipment. As in other fields and industries such as aviation and surgery, hands-on training can not be fully completed on the actual equipment. Training simulators have been developed for scenarios where the actual environment is either too expensive or too dangerous. Virtual Probe Microscope (VPM) has been developed as a training simulator for training multiple users on basic AFM operation. VPM is a Windows-based simulator that can simultaneously train a room full of users without the need of an actual AFM. Instructors can use this tool to demonstrate the exact same instruction that a user would receive in an AFM lab within the confines of a classroom, computer lab or living room for distance education students. To simulate the AFM physics, VPM uses a gaming physics engine to create a physical model of the AFM. The physics engine allows the complex behavior of the AFM to be modeled robustly and efficiently in the simulator. The interface of the simulator is a graphical user interface (GUI) that replicates the interface of one of the most popular commercial AFM models

Visualization of High-Dimensional Combinatorial Catalysis Data

The role of various techniques for visualization of high-dimensional data is demonstrated in the context of combinatorial high-throughput experimentation (HTE). Applying visualization tools, we identify which constituents of catalysts are associated with final products in a huge combinatorially generated data set of heterogeneous catalysts, and catalytic activity regions are identified with respect to pentanary composition spreads of catalysts. A radial visualization scheme directly visualizes pentanary composition spreads in two-dimensional (2D) space and catalytic activity of a final product by combining high-throughput results from five slate libraries. A glyph plot provides many possibilities for visualizing high-dimensional data with interactive tools. For catalyst discovery and lead optimization, this work demonstrates how large multidimensional catalysis data sets are visualized in terms of quantitative composition activity relationships (QCAR) to effectively identify the relevant key role of compositions (i.e., lead compositions) of catalysts

Advancing College Food Security: Priority Research Gaps

Despite over a decade of both quantitative and qualitative studies, food insecurity among United States college/university students remains a pervasive problem within higher education. The purpose of this perspective piece was to highlight research gaps in the area of college food insecurity and provide rationale for the research community to focus on these gaps going forward. A group of food insecurity researchers from a variety of higher education institutions across the United States identified five thematic areas of research gaps: screening and estimates of food insecurity; longitudinal changes in food insecurity; impact of food insecurity on broader health and academic outcomes; evaluation of impact, sustainability, and cost effectiveness of existing programs and initiatives; and state and federal policies and programs. Within these thematic areas, 19 specific research gaps were identified that have limited or no peer-reviewed, published research. These research gaps result in a limited understanding of the magnitude, severity, and persistence of college food insecurity, the negative short- and long-term impacts of food insecurity on health, academic performance, and overall college experience, and effective solutions and policies to prevent or meaningfully address food insecurity among college students. Research in these identified priority areas may help accelerate action and interdisciplinary collaboration to alleviate food insecurity among college students and play a critical role in informing the development or refinement of programs and services that better support college student food security needs

Advancing college food security: priority research gaps

Despite over a decade of both quantitative and qualitative studies, food insecurity among US college/university students remains a pervasive problem within higher education. The purpose of this perspective piece was to highlight research gaps in the area of college food insecurity and provide rationale for the research community to focus on these gaps going forward. A group of food insecurity researchers from a variety of higher education institutions across the United States identified five thematic areas of research gaps: screening and estimates of food insecurity; longitudinal changes in food insecurity; impact of food insecurity on broader health and academic outcomes; evaluation of impact, sustainability and cost effectiveness of existing programmes and initiatives; and state and federal policies and programmes. Within these thematic areas, nineteen specific research gaps were identified that have limited or no peer-reviewed, published research. These research gaps result in a limited understanding of the magnitude, severity and persistence of college food insecurity, the negative short- and long-term impacts of food insecurity on health, academic performance and overall college experience, and effective solutions and policies to prevent or meaningfully address food insecurity among college students. Research in these identified priority areas may help accelerate action and interdisciplinary collaboration to alleviate food insecurity among college students and play a critical role in informing the development or refinement of programmes and services that better support college student food security needs

Virtual Probe Microscope : atomic force microscope simulator

Training multiple users on basic atomic force microscope (AFM) operation is expensive in both time and money. Using traditional classroom and lab instruction to train AFM users does not allow for sufficient hands-on training with the actual equipment. As in other fields and industries such as aviation and surgery, hands-on training can not be fully completed on the actual equipment. Training simulators have been developed for scenarios where the actual environment is either too expensive or too dangerous. Virtual Probe Microscope (VPM) has been developed as a training simulator for training multiple users on basic AFM operation. VPM is a Windows-based simulator that can simultaneously train a room full of users without the need of an actual AFM. Instructors can use this tool to demonstrate the exact same instruction that a user would receive in an AFM lab within the confines of a classroom, computer lab or living room for distance education students. To simulate the AFM physics, VPM uses a gaming physics engine to create a physical model of the AFM. The physics engine allows the complex behavior of the AFM to be modeled robustly and efficiently in the simulator. The interface of the simulator is a graphical user interface (GUI) that replicates the interface of one of the most popular commercial AFM models.</p

Virtual Probe Microscope: atomic force microscope simulator

Training multiple users on basic atomic force microscope (AFM) operation is expensive in both time and money. Using traditional classroom and lab instruction to train AFM users does not allow for sufficient hands-on training with the actual equipment. As in other fields and industries such as aviation and surgery, hands-on training can not be fully completed on the actual equipment. Training simulators have been developed for scenarios where the actual environment is either too expensive or too dangerous. Virtual Probe Microscope (VPM) has been developed as a training simulator for training multiple users on basic AFM operation. VPM is a Windows-based simulator that can simultaneously train a room full of users without the need of an actual AFM. Instructors can use this tool to demonstrate the exact same instruction that a user would receive in an AFM lab within the confines of a classroom, computer lab or living room for distance education students. To simulate the AFM physics, VPM uses a gaming physics engine to create a physical model of the AFM. The physics engine allows the complex behavior of the AFM to be modeled robustly and efficiently in the simulator. The interface of the simulator is a graphical user interface (GUI) that replicates the interface of one of the most popular commercial AFM models.</p

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Visualization of High-Dimensional Combinatorial Catalysis Data

The role of various techniques for visualization of high-dimensional data is demonstrated in the context of combinatorial high-throughput experimentation (HTE). Applying visualization tools, we identify which constituents of catalysts are associated with final products in a huge combinatorially generated data set of heterogeneous catalysts, and catalytic activity regions are identified with respect to pentanary composition spreads of catalysts. A radial visualization scheme directly visualizes pentanary composition spreads in two-dimensional (2D) space and catalytic activity of a final product by combining high-throughput results from five slate libraries. A glyph plot provides many possibilities for visualizing high-dimensional data with interactive tools. For catalyst discovery and lead optimization, this work demonstrates how large multidimensional catalysis data sets are visualized in terms of quantitative composition activity relationships (QCAR) to effectively identify the relevant key role of compositions (i.e., lead compositions) of catalysts.Reprinted with permission from ACS Combinatorial Chemistry 11 (2009): 385–392, doi:10.1021/cc800194j. Copyright 2009 American Chemical Society.</p

Virtual Training Simulator for Atomic Force Microscopy

Training novice users how to operate an Atomic Force Microscope (AFM) is expensive due to the cost of equipment and the time required to train users in a hands-on learning environment. Training large groups of users simultaneously presents a problem because usually only one AFM is available for use. To alleviate this problem, a virtual training simulator for AFM training has been developed. The training simulator is a Windows-based software program designed to allow users to simulate basic AFM operation on a PC. Instructors can use this tool to demonstrate the exact same instruction that a user would receive in an AFM lab within the confines of a classroom or computer lab. The graphical user interface (GUI) of the simulator replicates the interface of one of the most popular commercial AFM models to aid learning transfer from the simulator to the actual AFM. The goal of this paper is to provide a brief overview of the work that has been completed towards creating this virtual training simulator. The virtual AFM simulator modeling, design, and implementation are described.This is a conference proceeding from ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 3 (2005): 567, doi:10.1115/DETC2005-85477. Posted with permission.</p