Implications of the Ticket to Work and Self-Sufficiency Program for Young Adults

On December 17, 1999, President Clinton signed the Ticket to Work and Work Incentives Improvement Act (P.L. 106-170) into law establishing in section 101(a) the Ticket to Work and Self-Sufficiency Program (Ticket to Work Program) as well as several other provisions to support the movement of beneficiaries with disabilities who receive Supplemental Security Income (SSI) and Social Security Disability Insurance (SSDI) into employment. The Ticket to Work Program was established to expand the universe of providers available to beneficiaries with disabilities as they are afforded the opportunity to choose from whom they access their needed employment services and supports. The Ticket to Work Program also increased provider incentives to serve these individuals. The Social Security Administration (SSA) administers this new program with the support of Maximus, Inc, the entity contracted with by the SSA to serve as the program manager. The SSA is currently contracting with agencies to serve as Employment Networks (EN). These ENs perform an array of duties under the law, including providing employment services, vocational rehabilitation (VR) services, and other support services to assist individuals with disabilities to obtain and maintain employment. Under this program, the SSA is directed to provide to beneficiaries with disabilities who meet certain eligibility criteria a Ticket they may use to obtain employment services, VR services and/or other support services from an EN of their choice. “A Ticket under the Ticket to Work and Self-Sufficiency Program is a document that provides evidence of SSA’s agreement to pay an EN or a State VR agency for providing employment services, VR services and/or other support services to a Ticket recipient who requests such services.” (SSA 2001, p. 12) The Ticket to Work Program will be phased in nationally over a three-year period beginning in January, 2002, with beneficiaries in 13 states: Arizona, Colorado, Delaware, Florida, Illinois, Iowa, Massachusetts, New York, Oklahoma, Oregon, South Carolina, Vermont and Wisconsin. The remaining states will be included by January, 2004

Constellation array in scorpion genera \u3cem\u3eParuroctonus\u3c/em\u3e, \u3cem\u3eSmeringurus\u3c/em\u3e, \u3cem\u3eVejovoidus\u3c/em\u3e, and \u3cem\u3eParavaejovis\u3c/em\u3e (Scorpiones: Vaejovidae)

The constellation array (a recently discovered sensory structure on the fixed finger of pedipalp; Fet et al., 2006) is analyzed for a large set of species belonging to four genera in the family Vaejovidae: Paruroctonus, Smeringurus, Vejovoidus, and Paravaejovis. It is shown that this structure is an important taxonomic character. Two distinct configurations are identified, a two-sensilla array for Paruroctonus + Smeringurus + Vejovoidus and a three-sensilla array for genus Paravejovis, both differing from other vaejovid configurations so far investigated. The topology of these two array configurations are analyzed using landmark setae identified in this study

Life and times of data access: Regarding Native Lands

It is challenging to understand the full and detailed story of Native People’s lands in the United States. In this article, we contend that reliable and accessible data regarding Native People’s lands complicate and perpetuate those challenges. Stemming from the implications of colonial ideologies, such as the General Allotment Act of 1887, Native Peoples’ land-based data are difficult to access for Tribal Nations and researchers. Land data have been and continue to be obscured by U.S. federal processes and are dependent on unreliable systems of outdated and exclusive practices that consistently marginalize Native Peoples. Therefore, those data do not adequately inform Tribal land planning initiatives. In this article we recommend new processes that strengthen Tribal data sovereignty as the fundamental underpinnings to an inclusive and protected data in the future

Narrative, identity, and recovery from serious mental illness: A life history of a runner

In recent years, researchers have investigated the psychological effects of exercise for people with mental health problems, often by focusing on how exercise may alleviate symptoms of mental illness. In this article I take a different tack to explore the ways in which exercise contributed a sense of meaning, purpose, and identity to the life of one individual named Ben, a runner diagnosed with schizophrenia. Drawing on life history data, I conducted an analysis of narrative to explore the narrative types that underlie Ben's stories of mental illness and exercise. For Ben, serious mental illness profoundly disrupted a pre-existing athletic identity removing agency, continuity, and coherence from his life story. By returning to exercise several years later, Ben reclaimed his athletic identity and reinstated some degree of narrative agency, continuity, and coherence. While the relationships between narrative, identity, and mental health are undoubtedly complex, Ben's story suggests that exercise can contribute to recovery by being a personally meaningful activity which reinforces identity and sense of self

The White Dwarf Cooling Sequence of NGC6397

We present the results of a deep Hubble Space Telescope (HST) exposure of the nearby globular cluster NGC6397, focussing attention on the cluster's white dwarf cooling sequence. This sequence is shown to extend over 5 magnitudes in depth, with an apparent cutoff at magnitude F814W=27.6. We demonstrate, using both artificial star tests and the detectability of background galaxies at fainter magnitudes, that the cutoff is real and represents the truncation of the white dwarf luminosity function in this cluster. We perform a detailed comparison between cooling models and the observed distribution of white dwarfs in colour and magnitude, taking into account uncertainties in distance, extinction, white dwarf mass, progenitor lifetimes, binarity and cooling model uncertainties. After marginalising over these variables, we obtain values for the cluster distance modulus and age of \mu_0 = 12.02 \pm 0.06 and T_c = 11.47 \pm 0.47Gyr (95% confidence limits). Our inferred distance and white dwarf initial-final mass relations are in good agreement with other independent determinations, and the cluster age is consistent with, but more precise than, prior determinations made using the main sequence turnoff method. In particular, within the context of the currently accepted \Lambda CDM cosmological model, this age places the formation of NGC6397 at a redshift z=3, at a time when the cosmological star formation rate was approaching its peak.Comment: 56 pages, 30 figure

The Space Motion of the Globular Cluster NGC 6397

As a by-product of high-precision, ultra-deep stellar photometry in the Galactic globular cluster NGC 6397 with the Hubble Space Telescope, we are able to measure a large population of background galaxies whose images are nearly point-like. These provide an extragalactic reference frame of unprecedented accuracy, relative to which we measure the most accurate absolute proper motion ever determined for a globular cluster. We find mu_alpha = 3.56 +/- 0.04 mas/yr and mu_delta = -17.34 +/- 0.04 mas/yr. We note that the formal statistical errors quoted for the proper motion of NGC 6397 do not include possible unavoidable sources of systematic errors, such as cluster rotation. These are very unlikely to exceed a few percent. We use this new proper motion to calculate NGC 6397's UVW space velocity and its orbit around the Milky Way, and find that the cluster has made frequent passages through the Galactic disk.Comment: 5 pages including 3 figures, accepted for publication in the Astrophysical Journal Letters. Very minor changes in V2. typos fixe

Mindfulness and Behavior Change

Initiating and maintaining behavior change is key to the prevention and treatment of most preventable chronic medical and psychiatric illnesses. The cultivation of mindfulness, involving acceptance and nonjudgment of present-moment experience, often results in transformative health behavior change. Neural systems involved in motivation and learning have an important role to play. A theoretical model of mindfulness that integrates these mechanisms with the cognitive, emotional, and self-related processes commonly described, while applying an integrated model to health behavior change, is needed. This integrative review (1) defines mindfulness and describes the mindfulness-based intervention movement, (2) synthesizes the neuroscience of mindfulness and integrates motivation and learning mechanisms within a mindful self-regulation model for understanding the complex effects of mindfulness on behavior change, and (3) synthesizes current clinical research evaluating the effects of mindfulness-based interventions targeting health behaviors relevant to psychiatric care. The review provides insight into the limitations of current research and proposes potential mechanisms to be tested in future research and targeted in clinical practice to enhance the impact of mindfulness on behavior change

A Global lake ecological observatory network (GLEON) for synthesising high-frequency sensor data for validation of deterministic ecological models

A Global Lake Ecological Observatory Network (GLEON; www.gleon.org) has formed to provide a coordinated response to the need for scientific understanding of lake processes, utilising technological advances available from autonomous sensors. The organisation embraces a grassroots approach to engage researchers from varying disciplines, sites spanning geographic and ecological gradients, and novel sensor and cyberinfrastructure to synthesise high-frequency lake data at scales ranging from local to global. The high-frequency data provide a platform to rigorously validate processbased ecological models because model simulation time steps are better aligned with sensor measurements than with lower-frequency, manual samples. Two case studies from Trout Bog, Wisconsin, USA, and Lake Rotoehu, North Island, New Zealand, are presented to demonstrate that in the past, ecological model outputs (e.g., temperature, chlorophyll) have been relatively poorly validated based on a limited number of directly comparable measurements, both in time and space. The case studies demonstrate some of the difficulties of mapping sensor measurements directly to model state variable outputs as well as the opportunities to use deviations between sensor measurements and model simulations to better inform process understanding. Well-validated ecological models provide a mechanism to extrapolate high-frequency sensor data in space and time, thereby potentially creating a fully 3-dimensional simulation of key variables of interest