San Diego State University

About: San Diego State University is a education organization based out in San Diego, California, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 12418 authors who have published 27950 publications receiving 1192375 citations. The organization is also known as: SDSU & San Diego State College.

The PedsQL in pediatric cerebral palsy: reliability, validity, and sensitivity of the Generic Core Scales and Cerebral Palsy Module

Abstract: This investigation determined the measurement properties of the Pediatric Quality of Life Inventory (PedsQL) 3.0 Cerebral Palsy (CP) Module. PedsQL 4.0 Generic Core Scales and 3.0 CP Module were administered to 245 families. Mean age of the 134 males and 107 females was 8 years 1 month (SD 4y 4mo; range 2–18y). The sample included children with hemiplegia (n=55), diplegia (n=84), and quadriplegia (n=85). Twenty eight children had a Gross Motor Function Classification System classification at Level I, 40 at Level II, 86 at Level III, 43 at Level IV, and 37 at Level V. Reliability was demonstrated for the PedsQL 4.0 (α=0.86 child, 0.89 parent) and CP Module (α=0.79 child, 0.91 parent). The PedsQL 4.0 distinguished between healthy children and children with CP. Construct validity of the CP Module was supported. Sensitivity of the PedsQL was demonstrated among children with different diagnostic categories and gross motor function.

Coarsening in Sintering: Grain Shape Distribution, Grain Size Distribution, and Grain Growth Kinetics in Solid-Pore Systems

Abstract: Sintering occurs when packed particles are heated to a temperature where there is sufficient atomic motion to grow bonds between the particles The conditions that induce sintering depend on the material, its melting temperature, particle size, and a host of processing variables It is common for sintering to produce a dimensional change, typically shrinkage, where the powder compact densifies, leading to significant strengthening Microstructure coarsening is inherent to sintering, most evident as grain growth, but it is common for pore growth to occur as density increases During coarsening, the grain structure converges to a self-similar character seen in both the grain shape distribution and grain size distribution Coarsening behavior during sintering conforms to classic grain growth kinetics, modified to reflect the evolving microstructure These modifications involve the grain boundary coverage due to pores, liquid films, or second phases and the altered grain boundary mobility due to these phases

The effects of one night of sleep deprivation on known-risk and ambiguous-risk decisions.

Abstract: Sleep deprivation has been shown to alter decision-making abilities. The majority of research has utilized fairly complex tasks with the goal of emulating 'real-life' scenarios. Here, we use a Lottery Choice Task (LCT) which assesses risk and ambiguity preference for both decisions involving potential gains and those involving potential losses. We hypothesized that one night of sleep deprivation would make subjects more risk seeking in both gains and losses. Both a control group and an experimental group took the LCT on two consecutive days, with an intervening night of either sleep or sleep deprivation. The control group demonstrated that there was no effect of repeated administration of the LCT. For the experimental group, results showed significant interactions of night (normal sleep versus total sleep deprivation, TSD) by frame (gains versus losses), which demonstrate that following as little as 23 h of TSD, the prototypical response to decisions involving risk is altered. Following TSD, subjects were willing to take more risk than they ordinarily would when they were considering a gain, but less risk than they ordinarily would when they were considering a loss. For ambiguity preferences, there seems to be no direct effect of TSD. These findings suggest that, overall, risk preference is moderated by TSD, but whether an individual is willing to take more or less risk than when well-rested depends on whether the decision is framed in terms of gains or losses.

High-temperature spin dynamics in CMR manganites: ESR and magnetization

Abstract: We have performed electron spin resonance (ESR) and dc susceptibility measurements in Mn perovskites up to 1000 K. Assuming an effective Heisenberg-like interaction for ${\mathrm{Mn}}^{3+}\mathrm{\ensuremath{-}}{\mathrm{Mn}}^{4+}$ spin pairs, the dc susceptibility, ${\ensuremath{\chi}}_{\mathrm{dc}}(T),$ is well described in the paramagnetic regime by the constant coupling approximation. Absolute determination of the ESR intensity indicates that all Mn spins contribute to the ESR line in the temperature range studied. The ESR linewidth can be described by $\ensuremath{\Delta}{H}_{\mathrm{pp}}(T)=\ensuremath{\Delta}{H}_{\mathrm{pp}}(\ensuremath{\infty})[C/T{\ensuremath{\chi}}_{\mathrm{dc}}(T)],$ thus presenting a universal behavior in a temperature scale normalized to ${T}_{c}.$ A single relaxation mechanism, related to spin-only interactions, explains the $T$ dependence of $\ensuremath{\Delta}{H}_{\mathrm{pp}}(T)$ for all the compounds studied: ${\mathrm{La}}_{0.67}{\mathrm{Ca}}_{0.33}{\mathrm{MnO}}_{3},$ ${\mathrm{La}}_{0.67}{\mathrm{Sr}}_{0.33}{\mathrm{MnO}}_{3},$ ${\mathrm{Pr}}_{0.67}{\mathrm{Sr}}_{0.33}{\mathrm{MnO}}_{3},$ and ${\mathrm{La}}_{0.67}{\mathrm{Pb}}_{0.33}{\mathrm{MnO}}_{3}.$ The dc susceptibility and the ESR linewidth and intensity all reflect the progressive importance of magnetic clustering below $\ensuremath{\approx}{2T}_{c}.$

TagCleaner: Identification and removal of tag sequences from genomic and metagenomic datasets

Abstract: Sequencing metagenomes that were pre-amplified with primer-based methods requires the removal of the additional tag sequences from the datasets. The sequenced reads can contain deletions or insertions due to sequencing limitations, and the primer sequence may contain ambiguous bases. Furthermore, the tag sequence may be unavailable or incorrectly reported. Because of the potential for downstream inaccuracies introduced by unwanted sequence contaminations, it is important to use reliable tools for pre-processing sequence data. TagCleaner is a web application developed to automatically identify and remove known or unknown tag sequences allowing insertions and deletions in the dataset. TagCleaner is designed to filter the trimmed reads for duplicates, short reads, and reads with high rates of ambiguous sequences. An additional screening for and splitting of fragment-to-fragment concatenations that gave rise to artificial concatenated sequences can increase the quality of the dataset. Users may modify the different filter parameters according to their own preferences. TagCleaner is a publicly available web application that is able to automatically detect and efficiently remove tag sequences from metagenomic datasets. It is easily configurable and provides a user-friendly interface. The interactive web interface facilitates export functionality for subsequent data processing, and is available at http://edwards.sdsu.edu/tagcleaner .