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Imaging of proteoforms in human tissues is hindered by low molecular specificity and limited proteome coverage. Here, we introduce proteoform imaging mass spectrometry (PiMS), which increases the size limit for proteoform detection and identification by fourfold compared to reported methods and reveals tissue localization of proteoforms at

This study explored practices that lead an alternative education program (AE) to improve student performance and progress toward graduation and transition. Eight former and current AE students were interviewed about their reasons for leaving regular schools and their perspectives regarding AE placements. The findings favor the implication of properly addressing environment, planning, delivery, and collaboration practices, each which enables at-risk students to succeed and transition to regular-education or post-secondary placements.

The Community Multiscale Air Quality Model (CMAQ) is a local- to hemispheric-scale numerical air quality modeling system developed by the U.S. Environmental Protection Agency (USEPA) and supported by the Community Modeling and Analysis System (CMAS) center. CMAQ is used for regulatory purposes by the USEPA program offices and state and local air agencies and is also widely used by the broader global research community to simulate and understand complex air quality processes and for computational environmental fate and transport and climate and health impact studies. Leveraging state-of-the-science cloud computing resources for high-performance computing (HPC) applications, CMAQ is now available as a fully tested, publicly available technology stack (HPC cluster and software stack) for two major cloud service providers (CSPs). Specifically, CMAQ configurations and supporting materials have been developed for use on their HPC clusters, including extensive online documentation, tutorials and guidelines to scale and optimize air quality simulations using their services. These resources allow modelers to rapidly bring together CMAQ, cloud-hosted datasets, and visualization and evaluation tools on ephemeral clusters that can be deployed quickly and reliably worldwide. Described here are considerations in CMAQ version 5.3.3 cloud use and the supported resources for each CSP, presented through a benchmark application suite that was developed as an example of a typical simulation for testing and verifying components of the modeling system. The outcomes of this effort are to provide findings from performing CMAQ simulations on the cloud using popular vendor-provided resources, to enable the user community to adapt this for their own needs, and to identify specific areas of potential optimization with respect to storage and compute architectures. [ABSTRACT FROM AUTHOR]

Many factors cause student disengagement from school that subsequently result in high dropout rates. Alternative education (AE) programs provide a different pathway for at-risk youths who do not meet the goals, standards, and requirements of traditional educational settings. However, educational agencies have vastly different interpretations regarding AE program components and operations. The absence of a consistent national protocol as to what components or criteria define an effective AE program causes confusion among practitioners and stakeholders. In the study being reported, a research-based multidimensional framework was established in the hope of building an operational AE program model.

The Community Multiscale Air Quality (CMAQ) Model is a local-to-hemispheric scale numerical air quality modeling system developed by the U.S. Environmental Protection Agency (USEPA) and supported by the Center for Community Modeling and Analysis System (CMAS). CMAQ is used for regulatory purposes by the USEPA program offices and state and local air agencies, and is also widely used by the broader global research community to simulate and understand complex air quality processes and for computational environmental fate and transport, and climate and health impact studies. Leveraging state-of-the-science cloud computing resources for high performance computing (HPC) applications, CMAQ is now available as a fully tested, publicly available technology stack (HPC cluster and software stack) for two major cloud service providers (CSPs). Specifically, CMAQ configurations and supporting materials have been developed for use on their HPC clusters, including extensive online documentation, tutorials, and guidelines to scale and optimize air quality simulations using their services. These resources allow modelers to rapidly bring together CMAQ, cloud-hosted datasets, and visualization and evaluation tools on ephemeral clusters that can be deployed quickly and reliably worldwide. Described here are considerations in CMAQ v5.3.3 cloud use and the supported resources for each CSP, presented through a benchmark application suite that was developed as an example of typical simulation for testing and verifying components of the modeling system. The outcomes of this effort are to provide findings from performing CMAQ simulations on the cloud using popular vendor provided resources, to enable the user community to adapt this for their own needs and identify specific areas of potential optimization with respect to storage and compute architectures. [ABSTRACT FROM AUTHOR]

Geospatial technologies have become increasingly prevalent across our society. Educators at all levels have expressed a need for additional resources that can be easily adopted to support geospatial literacy and state standards of learning, while enhancing the overall learning experience. The Virginia Geocoin Adventure supports the needs of 4-H groups and other educators, by providing a low-cost and user-friendly entry point to expose students to geospatial tools, such as GPS receivers, geographic viewers, and basic remote sensing techniques.

Geospatial tools, which include global positioning systems (GPS), geographic information systems (GIS), and remote sensing, are increasingly driving a variety of applications. Local governments and private industry are embracing these tools, and the public is beginning to demand geospatial services. The U.S. Department of Labor (DOL) reported that the pool of geospatial professionals is unable to keep up with demand. It is important that pre-college educators begin implementing these tools in the classroom to stimulate the educational pipeline. Twenty-four teachers from Fairfax, Virginia were involved in an educational approach that integrates GIS with civic and environmental education. (Contains 3 figures.)