Capacity and Opportunity: Predicting Engagement for Middle School Students With Behavioral Disorders

This study examined the capacity and opportunity scores of 36 middle school students with emotional and behavioral disorders (EBD) on the student version of the American Institutes for Research (AIR) Self-Determination Scale across three school engagement factors: grade point averages (GPA), school absences, and frequency of school disciplinary encounters. Poor grades, school absences, and frequency of disciplinary actions pose academic problems for middle school students with EBD. Three multiple regression models determined the predictive relationships between self-determination Capacity and Opportunity subscale scores and GPA, Absences, and Discipline. Higher capacity and opportunity scores predicted greater student GPA, fewer student absences, and fewer disciplinary encounters for students at school. Results of this study demonstrate the need for increased opportunities at school and home for students with EBD to learn and practice self-determination skills.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

A Comparison and Joint Analysis of Sunyaev-Zel'dovich Effect Measurements from Planck and Bolocam for a set of 47 Massive Galaxy Clusters

We measure the SZ signal toward a set of 47 clusters with a median mass of $9.5 \times 10^{14}$ M$_{\odot}$ and a median redshift of 0.40 using data from Planck and the ground-based Bolocam receiver. When Planck XMM-like masses are used to set the scale radius $\theta_{\textrm{s}}$, we find consistency between the integrated SZ signal, $Y_{\textrm{5R500}}$, derived from Bolocam and Planck based on gNFW model fits using A10 shape parameters, with an average ratio of $1.069 \pm 0.030$ (allowing for the $\simeq 5$% Bolocam flux calibration uncertainty). We also perform a joint fit to the Bolocam and Planck data using a modified A10 model with the outer logarithmic slope $\beta$ allowed to vary, finding $\beta = 6.13 \pm 0.16 \pm 0.76$ (measurement error followed by intrinsic scatter). In addition, we find that the value of $\beta$ scales with mass and redshift according to $\beta \propto M^{0.077 \pm 0.026} \times (1+z)^{-0.06 \pm 0.09}$. This mass scaling is in good agreement with recent simulations. We do not observe the strong trend of $\beta$ with redshift seen in simulations, though we conclude that this is most likely due to our sample selection. Finally, we use Bolocam measurements of $Y_{500}$ to test the accuracy of the Planck completeness estimate. We find consistency, with the actual number of Planck detections falling approximately $1 \sigma$ below the expectation from Bolocam. We translate this small difference into a constraint on the the effective mass bias for the Planck cluster cosmology results, with $(1-b) = 0.93 \pm 0.06$.Comment: Updated to include one additional co-author. Also some minor changes to the text based on initial feedbac

Carbon nanotube-based quantum pump in the presence of superconducting lead

Parametric electron pump through superconductor-carbon-nanotube based molecular devices was investigated. It is found that a dc current, which is assisted by resonant Andreev reflection, can be pumped out from such molecular device by a cyclic variation of two gate voltages near the nanotube. The pumped current can be either positive or negative under different system parameters. Due to the Andreev reflection, the pumped current has the double peak structure around the resonant point. The ratio of pumped current of N-SWNT-S system to that of N-SWNT-N system (I^{NS}/I^N) is found to approach four in the weak pumping regime near the resonance when there is exactly one resonant level at Fermi energy inside the energy gap. Numerical results confirm that in the weak pumping regime the pumped current is proportional to the square of the pumping amplitude V_p, but in the strong pumping regime the pumped current has the linear relation with V_p. Our numerical results also predict that pumped current can be obtained more easily by using zigzag tube than by using armchair tube

FUSE: Lightweight Guaranteed Distributed Failure Notification

FUSE is a lightweight failure notification service for building distributed systems. Distributed systems built with FUSE are guaranteed that failure notifications never fail. Whenever a failure notification is triggered, all live members of the FUSE group will hear a notification within a bounded period of time, irrespective of node or communication failures. In contrast to previous work on failure detection, the responsibility for deciding that afailure has occurred is shared between the FUSE service and the distributed application. This allows applications to implement their own definitions of failure. Our experience building a scalable distributed event delivery system on an overlay network has convinced us of the usefulness of this service. Our results demonstrate that the network costs of each FUSE group can be small; in particular, our overlay network implementation requires no additional liveness-verifying ping traffic beyond that already needed to maintain the overlay, making the steady state network load independent of the number of active FUSE groups

Modern cities modelled as “super-cells” rather than multicellular organisms: Implications for industry, goods and services

The structure and “metabolism” (movement and conversion of goods and energy) of urban areas has caused cities to be identified as “super-organisms”, placed between ecosystems and the biosphere, in the hierarchy of living systems. Yet most such analogies are weak, and render the super-organism model ineffective for sustainable development of cities. Via a cluster analysis of 15 shared traits of the hierarchical living system, we found that industrialized cities are more similar to eukaryotic cells than to multicellular organisms; enclosed systems, such as factories and greenhouses, paralleling organelles in eukaryotic cells. We further developed a “super-cell” industrialized city model: a “eukarcity” with citynucleus (urban area) as a regulating centre, and organaras (enclosed systems, which provide the majority of goods and services) as the functional components, and cityplasm (natural ecosystems and farmlands) as the matrix. This model may improve the vitality and sustainability of cities through planning and management

Cervical Length, Multifetal Pregnancy Reduction, and Prediction of Preterm Birth

ABSTRACT: Purpose. To evaluate the application of transvaginal sonography assessment of cervical length before fetal reduction for predicting spontaneous preterm birth in triplet gestations reduced to twins. Methods. This retrospective study was conducted at the ultrasound unit of a university-affiliated municipal hospital. The study cohort consisted of 25 women with triplet gestations following ovulation induction or assisted-reproduction techniques who underwent fetal reduction to twins. Cervical length was assessed via transvaginal sonography before fetal reduction, and data on pregnancy outcome were retrieved from maternal records and/or maternal interviews. Results. Cervical length (mean ± SD) at reduction was 4.0 ± 0.85 (range: 1.2-5.5). Five women were excluded from statistical evaluation because pregnancy complications precluded spontaneous delivery. Two of 3 (67%) women with a cervical length of <3.5 cm delivered prior to 33 weeks' gestation compared with 1/17 (6%) women with a cervical length 3.5 cm. This difference was statistically significant (P < 0.05). The sensitivity, specificity, positive predictive value, and negative predictive value of cervical lengths <3.5 cm to predict delivery prior to 33 gestational weeks was 67%, 94%, 67%, and 94%, respectively. Conclusions. Measurement of cervical length in triplet pregnancies before fetal reduction provides useful predictive information on the risk for preterm delivery. ª 2005 Wiley Periodicals, Inc

Dosing and Monitoring of Trace Elements in Long‐Term Home Parenteral Nutrition Patients

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141314/1/jpen0736.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/141314/2/jpen0736-sup-0001.pd

A Comparison and Joint Analysis of Sunyaev-Zel'dovich Effect Measurements from Planck and Bolocam for a set of 47 Massive Galaxy Clusters

We measure the Sunyaev–Zel'dovich (SZ) signal toward a set of 47 clusters with a median mass of 9.5 × 10^(14) M_☉ and a median redshift of 0.40 using data from Planck and the ground-based Bolocam receiver. When Planck XMM-like masses are used to set the scale radius θ_s, we find consistency between the integrated SZ signal, Y_(5R500), derived from Bolocam and Planck based on generalized Navarro, Frenk, and White model fits using A10 shape parameters, with an average ratio of 1.069 ± 0.030 (allowing for the ≃ 5% Bolocam flux calibration uncertainty). We also perform a joint fit to the Bolocam and Planck data using a modified A10 model with the outer logarithmic slope β allowed to vary, finding β = 6.13 ± 0.16 ± 0.76 (measurement error followed by intrinsic scatter). In addition, we find that the value of β scales with mass and redshift according to β ∝ M^(0.077 ± 0.026) x (1 + z))^(-0.06 ± 0.09). This mass scaling is in good agreement with recent simulations. We do not observe the strong trend of β with redshift seen in simulations, though we conclude that this is most likely due to our sample selection. Finally, we use Bolocam measurements of Y 500 to test the accuracy of the Planck completeness estimate. We find consistency, with the actual number of Planck detections falling approximately 1σ below the expectation from Bolocam. We translate this small difference into a constraint on the effective mass bias for the Planck cluster cosmology results, with (1 - b)=0.93 ± 0.06