Cholesterol hemi­methanol solvate

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73458/1/S1600536801020487.pd

Generic Subsequence Matching Framework: Modularity, Flexibility, Efficiency

Subsequence matching has appeared to be an ideal approach for solving many problems related to the fields of data mining and similarity retrieval. It has been shown that almost any data class (audio, image, biometrics, signals) is or can be represented by some kind of time series or string of symbols, which can be seen as an input for various subsequence matching approaches. The variety of data types, specific tasks and their partial or full solutions is so wide that the choice, implementation and parametrization of a suitable solution for a given task might be complicated and time-consuming; a possibly fruitful combination of fragments from different research areas may not be obvious nor easy to realize. The leading authors of this field also mention the implementation bias that makes difficult a proper comparison of competing approaches. Therefore we present a new generic Subsequence Matching Framework (SMF) that tries to overcome the aforementioned problems by a uniform frame that simplifies and speeds up the design, development and evaluation of subsequence matching related systems. We identify several relatively separate subtasks solved differently over the literature and SMF enables to combine them in straightforward manner achieving new quality and efficiency. This framework can be used in many application domains and its components can be reused effectively. Its strictly modular architecture and openness enables also involvement of efficient solutions from different fields, for instance efficient metric-based indexes. This is an extended version of a paper published on DEXA 2012.Comment: This is an extended version of a paper published on DEXA 201

Experiences of Nursing Students in Caring for Patients with Behaviors Suggestive of Low Health Literacy: A Qualitative Analysis

Background: Health literacy is the ability to obtain, process, and understand health information in order to take appropriate health actions. Low health literacy is associated with poor health knowledge and self-management of chronic disease, inadequate utilization of preventive services, and increased hospital admissions. The American Association of Colleges of Nursing recommends that nursing schools incorporate health literacy into curricula. Little, however, has been reported about what nursing students have learned and done about health literacy in clinical. This study explored undergraduate nursing students’ experiences in caring for patients with low health literacy. Methods: A qualitative content analysis method was used to analyze 59 narratives written by undergraduate nursing students. Results: Three themes were uncovered: sensing low health literacy by behavioral cues, promoting health literacy with multiple strategies, and closing the health information loop with positive and negative feelings. Noncompliance, knowledge deficits, anxiety/concerns, and language barriers were behavioral cues indicating low health literacy, and these cues triggered the students’ information support actions. Students promoted patient understanding and utilization of information by using many interventions: simplifying information, reinforcing information, giving written information, and demonstration/teach-back. Many students felt good about being able to help increase knowledge and self-care skills of their patients. Some were frustrated because they were unable to promote lifestyle modifications of the patients with complicated chronic diseases. Students, however, did not employ standardized tools to assess the health literacy of the patient or the patient’s knowledge of specific diseases, nor did they assess readability of patient education materials or provide patient empowerment interventions to encourage active information-seeking and participation in self-care. Conclusions: Nursing students could identify behavioral cues suggestive of low health literacy and provide solutions to increase the patient’s health literacy. To enhance student practice, nursing curricula, however, can integrate relevant health literacy assessment tools and empowerment interventions

Earthquake risk in urban street network : an example from region 6 of Tehran, Iran

Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.Purpose – Zone 6 of Tehran, with a populations of 220,000 people (3.6 per cent of the city population) and 20 km2 area (3 per cent of the city area), is one of the main municipal zones of Tehran. Major land-uses, like ministries, embassies, universities, general hospitals and medical centers, big financial firms, and so on, manifest the high importance of this region on a local and national scale. Thus, it is necessary to pay close attention to issues concerning crisis management in this area. Design/methodology/approach – In this paper, by using indexes such as access to medical centers, street inclusion, building and population density, land-use, peak ground acceleration and building quality, vulnerability degree of street networks in zone 6 against the earthquake is calculated through overlaying maps and data in combination with inversion hierarchical weight process method and geographic information systems. Findings – This article concludes that buildings alongside the streets with high population and building density, low building quality, far to rescue centers and high level of inclusion represent high rate of vulnerability, compared with other buildings. Also, by moving from north to south of the zone, the vulnerability increases. Likewise, highways and streets with substantial width and low building and population density hold little values of vulnerability. Thus, streets with high level of inclusion, building and population density present further vulnerability. Originality/value – It is expected that the results of this paper be used by the urban decision-makers. Due to high vulnerability of most parts of the urban textures of Tehran, similar researches will have importance for preparation for the future possible earthquakes

Weight Control Behaviors among Emerging Adults with Type 1 Diabetes

Purpose The purpose of this study was to examine the association of weight control behaviors (WCBs) with living and educational situations among emerging adults with type 1 diabetes during the first year after high school graduation. Methods Among 184 emerging adults with type 1 diabetes, data were collected every 3 months for 12 months on WCBs, body mass index (BMI), living and educational situations; at baseline and 12 months, on impulse control; and at baseline, on sex, depressive symptoms, and glycemic control. Generalized linear models incorporated repeated measures (0, 3, 6, 9, and 12 months). Results No significant associations existed between WCBs and living or educational situations, when controlling for covariates. More depressive symptoms and higher BMIs were associated with a greater likelihood of involvement in unhealthy WCBs, whereas more depressive symptoms—not higher BMI—were associated with higher odds for involvement in very unhealthy WCBs. Although healthy WCBs were also associated with more depressive symptoms and higher BMIs, they were also associated with greater impulse control. Conclusions Health care professionals should assess emerging adults with type 1 diabetes for WCBs along with BMI, depressive symptoms, and impulse control

Thermoelastic Damping in Micro- and Nano-Mechanical Systems

The importance of thermoelastic damping as a fundamental dissipation mechanism for small-scale mechanical resonators is evaluated in light of recent efforts to design high-Q micrometer- and nanometer-scale electro-mechanical systems (MEMS and NEMS). The equations of linear thermoelasticity are used to give a simple derivation for thermoelastic damping of small flexural vibrations in thin beams. It is shown that Zener's well-known approximation by a Lorentzian with a single thermal relaxation time slightly deviates from the exact expression.Comment: 10 pages. Submitted to Phys. Rev.

GBM heterogeneity as a function of variable epidermal growth factor receptor variant III activity.

Abnormal activation of the epidermal growth factor receptor (EGFR) due to a deletion of exons 2-7 of EGFR (EGFRvIII) is a common alteration in glioblastoma (GBM). While this alteration can drive gliomagenesis, tumors harboring EGFRvIII are heterogeneous. To investigate the role for EGFRvIII activation in tumor phenotype we used a neural progenitor cell-based murine model of GBM driven by EGFR signaling and generated tumor progenitor cells with high and low EGFRvIII activation, pEGFRHi and pEGFRLo. In vivo, ex vivo, and in vitro studies suggested a direct association between EGFRvIII activity and increased tumor cell proliferation, decreased tumor cell adhesion to the extracellular matrix, and altered progenitor cell phenotype. Time-lapse confocal imaging of tumor cells in brain slice cultures demonstrated blood vessel co-option by tumor cells and highlighted differences in invasive pattern. Inhibition of EGFR signaling in pEGFRHi promoted cell differentiation and increased cell-matrix adhesion. Conversely, increased EGFRvIII activation in pEGFRLo reduced cell-matrix adhesion. Our study using a murine model for GBM driven by a single genetic driver, suggests differences in EGFR activation contribute to tumor heterogeneity and aggressiveness

Choreo: network-aware task placement for cloud applications

Cloud computing infrastructures are increasingly being used by network-intensive applications that transfer significant amounts of data between the nodes on which they run. This paper shows that tenants can do a better job placing applications by understanding the underlying cloud network as well as the demands of the applications. To do so, tenants must be able to quickly and accurately measure the cloud network and profile their applications, and then use a network-aware placement method to place applications. This paper describes Choreo, a system that solves these problems. Our experiments measure Amazon's EC2 and Rackspace networks and use three weeks of network data from applications running on the HP Cloud network. We find that Choreo reduces application completion time by an average of 8%-14% (max improvement: 61%) when applications are placed all at once, and 22%-43% (max improvement: 79%) when they arrive in real-time, compared to alternative placement schemes.National Science Foundation (U.S.) (Grant 0645960)National Science Foundation (U.S.) (Grant 1065219)National Science Foundation (U.S.) (Grant 1040072

Missense-depleted regions in population exomes implicate ras superfamily nucleotide-binding protein alteration in patients with brain malformation.

Genomic sequence interpretation can miss clinically relevant missense variants for several reasons. Rare missense variants are numerous in the exome and difficult to prioritise. Affected genes may also not have existing disease association. To improve variant prioritisation, we leverage population exome data to identify intragenic missense-depleted regions (MDRs) genome-wide that may be important in disease. We then use missense depletion analyses to help prioritise undiagnosed disease exome variants. We demonstrate application of this strategy to identify a novel gene association for human brain malformation. We identified de novo missense variants that affect the GDP/GTP-binding site of ARF1 in three unrelated patients. Corresponding functional analysis suggests ARF1 GDP/GTP-activation is affected by the specific missense mutations associated with heterotopia. These findings expand the genetic pathway underpinning neurologic disease that classically includes FLNA. ARF1 along with ARFGEF2 add further evidence implicating ARF/GEFs in the brain. Using functional ontology, top MDR-containing genes were highly enriched for nucleotide-binding function, suggesting these may be candidates for human disease. Routine consideration of MDR in the interpretation of exome data for rare diseases may help identify strong genetic factors for many severe conditions, infertility/reduction in reproductive capability, and embryonic conditions contributing to preterm loss