Colorectal Cancer Brochure Development for African Americans

Introduction: African Americans are more likely to die from colorectal cancer (CRC) than any other racial/ethnic group in the United States. Unfortunately, African Americans are also less likely to undergo screening for CRC than their White counterparts. Focus groups methodology was used to refine educational brochures designed to increase CRC screening among African Americans. Methods: Two series of focus groups were completed, with a total of seven groups and 39 participants. Six different brochures (stage-matched and culturally sensitive) designed to promote CRC screening among African Americans were evaluated. Results: All participants thought that the brochures motivated them to talk with their health care providers about screening. Cost, pain, medical mistrust and fear were identified as major barriers and the brochures were modified to address these concerns. Conclusions: Focus groups methodology with African Americans can be used to inform brochures designed to increase African Americans CRC screening that addresses their major concerns

An examination of distress, sleep, and fatigue in metastatic breast cancer patients

Objective: Few studies have used rapid screening instruments to document the prevalence of distress among metastatic breast cancer patients. This study used the one-item Distress Thermometer (DT) to assess distress in this population. Anxiety and depressive symptoms, sleep problems, fatigue, and mental health service use were assessed for patients who met the cutoff on the DT for probable distress (score ⩾4). Methods: A total of 173 metastatic breast cancer patients rated their distress on the DT. Respondents who met study eligibility criteria (n = 90), including a score ⩾4 on the DT, completed a telephone survey 1 week later that assessed anxiety, depressive symptoms, sleep problems, and fatigue. Associations of study outcomes with demographic and medical characteristics were computed. Results: Sixty percent of the 173 patients met the cutoff for probable distress on the DT. Meeting this cutoff was not associated with age, ethnicity, time since diagnosis, or medical treatments. The majority (61%) of respondents who were classified as distressed on the DT reported clinically significant anxiety or depressive symptoms 1 week later. On average, these patients also showed significant fatigue and sleep disturbance, with 70% reporting decrements in sleep quality. Only 29% of patients with significant anxiety or depressive symptoms accessed mental health services. Conclusions: Results point to a high prevalence of distress, sleep problems, and fatigue across demographic and medical subgroups of metastatic breast cancer patients. A rapid one-item screening tool may be used to identify patients with a potential need for psychosocial assessment and intervention

Validation of age determination using otoliths of the European anchovy (Engraulis encrasicolus L.) in the Bay of Biscay

Validation of the age determination procedure using otoliths of European anchovy in the Bay of Biscay was achieved by monitoring very strong year-classes in successive spring catches and surveys, as well as the seasonal occurrence of edge types. Historical corroboration of the ageing method was obtained by cross-correlation between successive age groups by year-classes in catches and surveys (1987–2013). Summary annual growth in length is also presented. Yearly annuli consist of a hyaline zone (either single or composite) and a wide opaque zone, disrupted occasionally by some typical checks (mainly at age-0 and age-1 at peak spawning time). Age determination, given a date of capture, requires knowledge of the typical annual growth pattern of otoliths, their seasonal edge formation by ages and the most typical checks. Most opaque growth occurs in summer and is minimal (translucent) in winter. Opaque zone formation begins earlier in younger fish (in spring), and this helps distinguish age-1 from age-2þ.Versión del edito

Fast Fourier Optimization: Sparsity Matters

Many interesting and fundamentally practical optimization problems, ranging from optics, to signal processing, to radar and acoustics, involve constraints on the Fourier transform of a function. It is well-known that the {\em fast Fourier transform} (fft) is a recursive algorithm that can dramatically improve the efficiency for computing the discrete Fourier transform. However, because it is recursive, it is difficult to embed into a linear optimization problem. In this paper, we explain the main idea behind the fast Fourier transform and show how to adapt it in such a manner as to make it encodable as constraints in an optimization problem. We demonstrate a real-world problem from the field of high-contrast imaging. On this problem, dramatic improvements are translated to an ability to solve problems with a much finer grid of discretized points. As we shall show, in general, the "fast Fourier" version of the optimization constraints produces a larger but sparser constraint matrix and therefore one can think of the fast Fourier transform as a method of sparsifying the constraints in an optimization problem, which is usually a good thing.Comment: 16 pages, 8 figure

Le tourisme processus d'intégration des marges, réussite et échec des politiques publiques en France

Le tourisme processus d’intégration des marges, réussite et échec des politiques publiques en France</p

Bases orthonormées d'ondelettes splines linéaires adaptées à une grille irrégulière

- Dans cet article, nous proposons une construction d'une base d'ondelettes orthonormée correspondant à une analyse par des fonctions B-splines non-uniformes de degré un. Nous montrons que le passage d'une échelle à l'autre est réalisé par un banc de filtres caractérisé par la localisation des données dans la séquence initiale. Les expressions explicites des coefficients des filtres sont fournies. Les fonctions d'échelles et d'ondelettes obtenues ne sont plus des translatées et des dilatées d'une seule fonction. Ceci nous permet de proposer une définition de l'analyse multirésolution d'un signal échantillonné à des instants irréguliers

Adaptive changes of human islets to an obesogenic environment in the mouse

Routing protocols in wireless sensor networks (WSN) face two main challenges: first, the challenging environments in which WSNs are deployed negatively affect the quality of the routing process. Therefore, routing protocols for WSNs should recognize and react to node failures and packet losses. Second, sensor nodes are battery-powered, which makes power a scarce resource. Routing protocols should optimize power consumption to prolong the lifetime of the WSN. In this paper, we present a new adaptive routing protocol for WSNs, we call it M^2RC. M^2RC has two phases: mesh establishment phase and data forwarding phase. In the first phase, M^2RC establishes the routing state to enable multipath data forwarding. In the second phase, M^2RC forwards data packets from the source to the sink. Targeting hop-by-hop reliability, an M^2RC forwarding node waits for an acknowledgement (ACK) that its packets were correctly received at the next neighbor. Based on this feedback, an M^2RC node applies multiplicative-increase/additive-decrease (MIAD) to control the number of neighbors targeted by its packet broadcast. We simulated M^2RC in the ns-2 simulator and compared it to GRAB, Max-power, and Min-power routing schemes. Our simulations show that M^2RC achieves the highest throughput with at least 10-30% less consumed power per delivered report in scenarios where a certain number of nodes unexpectedly fail.National Science Foundation (ITR ANI-0205294, EIA-0202067, ANI-0095988, ANI-9986397