University of Massachusetts Amherst

About: University of Massachusetts Amherst is a education organization based out in Amherst Center, Massachusetts, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 37274 authors who have published 83965 publications receiving 3834996 citations. The organization is also known as: UMass Amherst & Massachusetts State College.

Behavioral, Social, and Emotional Assessment of Children and Adolescents

Abstract: Part: I: Foundations and Methods of Assessment. Foundations of Assessment. Assessment and Classification. Direct Behavioral Observation. Behavior Rating Scales. Interviewing Techniques. Sociometric Techniques. Self-report Assessment. Projective-expressive Techniques. Part II: Assessment of Specific Problems, Competencies, and Populations. Assessing Externalizing Problems. Assessing Internalizing Problems. Assessing Other Behavioral, Social, and Emotional Problems. Assessing Social Skills and Peer Relations. Assessing Social and Emotional Behavior of Young Children. Assessment and Cultural Diversity

Property specification patterns for finite-state verification

Abstract: Finite-state verification (e.g., model checking) provides a powerful means to detect errors that are often subtle and difficult to reproduce. Nevertheless, the transition of this technology from research to practice has been slow. While there are a number of potential causes for reluctance in adopting such formal methods in practice, we believe that a primary cause rests with the fact that practitioners are unfamiliar with specification processes, notations, and strategies. Recent years have seen growing success in leveraging experience with design and coding patterns. We propose a pattern-based approach to the presentation, codification and reuse of property specifications for finite-state verification.

Structure and function of bordered pits: new discoveries and impacts on whole-plant hydraulic function

Abstract: Bordered pits are cavities in the lignified cell walls of xylem conduits (vessels and tracheids) that are essential components in the water-transport system of higher plants. The pit membrane, which lies in the center of each pit, allows water to pass between xylem conduits but limits the spread of embolism and vascular pathogens in the xylem. Averaged across a wide range of species, pits account for > 50% of total xylem hydraulic resistance, indicating that they are an important factor in the overall hydraulic efficiency of plants. The structure of pits varies dramatically across species, with large differences evident in the porosity and thickness of pit membranes. Because greater porosity reduces hydraulic resistance but increases vulnerability to embolism, differences in pit structure are expected to correlate with trade-offs between efficiency and safety of water transport. However, trade-offs in hydraulic function are influenced both by pit-level differences in structure (e.g. average porosity of pit membranes) and by tissue-level changes in conduit allometry (average length, diameter) and the total surface area of pit membranes that connects vessels. In this review we address the impact of variation in pit structure on water transport in plants from the level of individual pits to the whole plant.

The Chandra COSMOS Survey. I. Overview and Point Source Catalog

Abstract: The Chandra COSMOS Survey (C-COSMOS) is a large, 1.8 Ms, Chandra program that has imaged the central 0.5 deg^2 of the COSMOS field (centered at 10 ^h , +02 ^o ) with an effective exposure of ~160 ks, and an outer 0.4 deg^2 area with an effective exposure of ~80 ks. The limiting source detection depths are 1.9 × 10^(–16) erg cm^(–2) s^(–1) in the soft (0.5-2 keV) band, 7.3 × 10^(–16) erg cm^(–2) s^(–1) in the hard (2-10 keV) band, and 5.7 × 10^(–16) erg cm^(–2) s^(–1) in the full (0.5-10 keV) band. Here we describe the strategy, design, and execution of the C-COSMOS survey, and present the catalog of 1761 point sources detected at a probability of being spurious of <2 × 10^(–5) (1655 in the full, 1340 in the soft, and 1017 in the hard bands). By using a grid of 36 heavily (~50%) overlapping pointing positions with the ACIS-I imager, a remarkably uniform (±12%) exposure across the inner 0.5 deg^2 field was obtained, leading to a sharply defined lower flux limit. The widely different point-spread functions obtained in each exposure at each point in the field required a novel source detection method, because of the overlapping tiling strategy, which is described in a companion paper. This method produced reliable sources down to a 7-12 counts, as verified by the resulting logN-logS curve, with subarcsecond positions, enabling optical and infrared identifications of virtually all sources, as reported in a second companion paper. The full catalog is described here in detail and is available online.