852 resultados para Initial data problem
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BACKGROUND: The behavioral and psychological symptoms related to dementia (BPSD) are difficult to manage and are associated with adverse patient outcomes. OBJECTIVE: To systematically analyze the data on memantine in the treatment of BPSD. METHODS: We searched MEDLINE, EMBASE, Pharm-line, the Cochrane Centre Collaboration, www.clinicaltrials.gov, www.controlled-trials.com, and PsycINFO (1966-July 2007). We contacted manufacturers and scrutinized the reference sections of articles identified in our search for further references, including conference proceedings. Two researchers (IM and CF) independently reviewed all studies identified by the search strategy. We included 6 randomized, parallel-group, double-blind studies that rated BPSD with the Neuropsychiatric Inventory (NPI) in our meta-analysis. Patients had probable Alzheimer's disease and received treatment with memantine for at least one month. Overall efficacy of memantine on the NPI was established with a t-test for the average difference between means across studies, using a random effects model. RESULTS: Five of the 6 studies identified had NPI outcome data. In these 5 studies, 868 patients were treated with memantine and 882 patients were treated with placebo. Patients on memantine improved by 1.99 on the NPI scale (95% Cl -0.08 to -3.91; p = 0.041) compared with the placebo group. CONCLUSIONS: Initial data appear to indicate that memantine decreases NPI scores and may have a role in managing BPSD. However, there are a number of limitations with the current data; the effect size was relatively small, and whether memantine produces significant clinical benefit is not clear.
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There is increasing evidence that children continue to experience attention deficit hyperactivity disorder (ADHD) symptoms into adult life. The two main treatments for ADHD are antidepressants and stimulants. Here, the effectiveness data relating to the use of antidepressants in adults with ADHD are reviewed. Four controlled and six open studies were identified. Although, there is only limited data currently available, antidepressants may offer an effective therapy for adult ADHD. Controlled trials have studied desipramine, atomoxetine and bupropion, with most evidence supporting the efficacy of desipramine. The initial data indicate that atomoxetine is less effective than desipramine. The efficacy of bupropion is unclear. Initial published open data suggest a response rate of 50-78% with venlafaxine. Controlled studies are required to confirm this efficacy. Most of the present data are short-term, therefore long-term effectiveness data are required.
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AOSD'03 Practitioner Report Performance analysis is motivated as an ideal domain for benefiting from the application of Aspect Oriented (AO) technology. The experience of a ten week project to apply AO to the performance analysis domain is described. We show how all phases of a performance analysts’ activities – initial profiling, problem identification, problem analysis and solution exploration – were candidates for AO technology assistance – some being addressed with more success than others. A Profiling Workbench is described that leverages the capabilities of AspectJ, and delivers unique capabilities into the hands of developers exploring caching opportunities.
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∗The author was partially supported by Alexander von Humboldt Foundation and the Contract MM-516 with the Bulgarian Ministry of Education, Science and Thechnology.
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2000 Mathematics Subject Classification: Primary 26A33; Secondary 35S10, 86A05
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Mathematics Subject Classification: 26A33, 34A37.
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Mathematics Subject Classification: 26A33, 34A25, 45D05, 45E10
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Георги Венков, Христо Генев - Разглеждаме един клас от L^2 - критични нелинейни уравнения на Шрьодингер в R^(1+n) с конволюционна нелинейност от тип Хартри. Целта ни е да установим локалното и глобално съществуване на решенията, както и коректност на задачата на Коши в достатъчно малка околност на нулата в пространството L^2 (R^n). Като естествено следствие на глобалните резултати ние доказваме съществуване на оператор на разсейване за малки начални условия.
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2002 Mathematics Subject Classification: Primary 35В05; Secondary 35L15
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MSC 2010: 34A08, 34A37, 49N70
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2000 Mathematics Subject Classification: 35K55, 35K60.
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Quantitative analysis of solid-state processes from isothermal microcalorimetric data is straightforward if data for the total process have been recorded and problematic (in the more likely case) when they have not. Data are usually plotted as a function of fraction reacted (α); for calorimetric data, this requires knowledge of the total heat change (Q) upon completion of the process. Determination of Q is difficult in cases where the process is fast (initial data missing) or slow (final data missing). Here we introduce several mathematical methods that allow the direct calculation of Q by selection of data points when only partial data are present, based on analysis with the Pérez-Maqueda model. All methods in addition allow direct determination of the reaction mechanism descriptors m and n and from this the rate constant, k. The validity of the methods is tested with the use of simulated calorimetric data, and we introduce a graphical method for generating solid-state power-time data. The methods are then applied to the crystallization of indomethacin from a glass. All methods correctly recovered the total reaction enthalpy (16.6 J) and suggested that the crystallization followed an Avrami model. The rate constants for crystallization were determined to be 3.98 × 10-6, 4.13 × 10-6, and 3.98 × 10 -6 s-1 with methods 1, 2, and 3, respectively. © 2010 American Chemical Society.
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The purpose of this research study was to investigate if the determination of school readiness as it was evaluated by Broward County kindergarten teachers on the Florida's Expectations of School Readiness checklist can be attributed to the effects of gender, chronological age on school entry, racial or ethnic background, attending public preschool, native language other than English, or socioeconomic status.^ This is a descriptive study in which the number of expectations passed or failed for each of the identifier categories was compared. The Chi-squared distribution was used to evaluate the null hypothesis that "chronological age at entry to school, gender, race or ethnicity, native language other than English, public preschool experience, and socioeconomic status have no effect on the determination of readiness for school". Results were confirmed using t-tests, ANOVA, and linear regression models. The cohort of 1555 Broward County students in the study were evaluated using the Florida's Expectations for School Readiness checklist and were determined not ready for school during the initial data collection year 1996-1997.^ The determination of school readiness was significantly dependent on the gender, and racial or ethnic background of the students in the cohort. The socioeconomic status and native language other than English designations were significant for students only in the areas of preacademic, academic and literacy development. Chronological age on entry to school or attendance in public preschool prior to entry in kindergarten for the cohort was not significant in the determination of readiness for school.^ Given the fact that this study followed only students that were determined not ready for school, it is recommended that a second cohort of both "ready" and "not ready" students be studied. ^
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Current high school completion rates in Dade County and across the nation are considered to be unacceptable. This has led to the development of student assistance profiles to aid in the early identification of students considered to be at risk to allow for some form of intervention. The purpose of this research was to examine the current Dade County Public Schools profile as applied to one specific high school in which most of the students are Hispanic (mostly of Mexican descent) and Black (African-Americans, as well as recent Haitian immigrants). Additionally, the effectiveness of the alternative intervention program provided at this high school--a school within a school--were evaluated. School records of the 1992 in-coming ninth grade class became the initial data base. The individual student records of this cohort were then examined over a four-year period until their expected date or graduation. The DCPS profile used to identify potential dropouts from this group was evaluated, using chi-square and multivariate analysis, to determine its overall effectiveness, as well as the effectiveness of the individual indicators which comprise the profile. The Student Assistance Profile was found to an effective predictor, but it over-identified students from this cohort, particularly minorities, to the extent that it became largely ineffective, especially considering the limited resources available for intervention. The intervention program was found to be ineffective in reducing the dropout rate. Further analysis of the individual indicators used in the DCPS profile as they applied to this school population resulted in the development of an improved profile. By reducing the number of indicators to those found to be most highly associated with failure to graduate--academic performance and absences--a simpler student assistance profile was developed which appears to be better suited to high schools with similar demographics and budget restraints. ^
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The dynamics of a population undergoing selection is a central topic in evolutionary biology. This question is particularly intriguing in the case where selective forces act in opposing directions at two population scales. For example, a fast-replicating virus strain outcompetes slower-replicating strains at the within-host scale. However, if the fast-replicating strain causes host morbidity and is less frequently transmitted, it can be outcompeted by slower-replicating strains at the between-host scale. Here we consider a stochastic ball-and-urn process which models this type of phenomenon. We prove the weak convergence of this process under two natural scalings. The first scaling leads to a deterministic nonlinear integro-partial differential equation on the interval $[0,1]$ with dependence on a single parameter, $\lambda$. We show that the fixed points of this differential equation are Beta distributions and that their stability depends on $\lambda$ and the behavior of the initial data around $1$. The second scaling leads to a measure-valued Fleming-Viot process, an infinite dimensional stochastic process that is frequently associated with a population genetics.