253 research outputs found
Analysis of Activities with ICT in Secondary Education Classrooms
MetNum es punto de encuentro en el campus virtual Moodle, para los alumnos de Métodos Numéricos de la I.T.Informática de la Universidad de Málaga. Como herramientas básicas de Moodle nos planteamos en este campus virtual la utilización de cuestionarios, lecciones, glosarios, tareas, wikis, libros y foros como medio de incentivar y encauzar el trabajo diario de los alumnos. Destacamos que se ha desarrollado PDTeXInT: un entorno para el diseño de tutoriales interactivos para la presentación de material matemático. PDTeXInT permite acercar de forma amistosa y formato portable los contenidos teóricos junto con ejercicios de autoevaluación, como método para mejorar el proceso de aprendizaje.An cases study has made in two Secondary Education Centres of Tenerife, integrated into the Project
Medusa of the Canary Government (http://www.gobiernodecanarias.org/educacion/ medusa). The results
obtained from the observations of many classrooms developed teaching activities supported in the use of
digital resources are presented here. The central objective was to identify what kind of activities have been
developed in the pedagogical use of ICT, to what extent these activities are favoring informational and
digital skills in students, and how they organized and developed them
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems.
A new framework hybridizing multi-objective and multi-modal optimization is
proposed to formalize these data mining problems, and addressed through
Evolutionary Computation (EC). The merits of EC for spatio-temporal data mining
are demonstrated as the approach facilitates the modelling of the experts'
requirements, and flexibly accommodates their changing goals
Laboratory monitoring and antiviral treatment for chronic hepatitis B among routine care patients in the United States
We investigated factors associated with rates of recommended monitoring of chronic hepatitis B (HBV) patients for viral DNA and alanine aminotransferase (ALT), and initiation of antiviral treatment among eligible patients, in a US cohort of patients under routine care. Patients were categorised by treatment indication: definite, equivocal or ineligible. Baseline covariates included demographics, clinical characteristics and specialist care status. \u27Recommended monitoring\u27 was defined ≥1 ALT or HBV DNA test per year. Logit models, univariate then multivariable, were used to evaluate factors associated with monitoring and treatment. Among 3,830 patients, treatment was received by 67.5% (788/1168 patients) in the \u27definite\u27 category, and 34.1% (208/610 patients) in the \u27equivocal\u27 category, of whom 109 moved up to \u27definite\u27 status at some point during follow-up. Sex, age and specialist care were independently associated with receipt of treatment in \u27definite\u27 patients. Routine monitoring rates were high prior to treatment in \u27definite/ treated\u27 patients (ALT: 77%; DNA: 85%) but declined afterwards (ALT 63%; DNA 36%). Rates of monitoring were lower in \u27definite/ untreated\u27 patients (ALT: 48%; DNA: 32%). Among \u27equivocal/ treated\u27 patients, lower age and comorbidity scores were associated with receipt of treatment; ALT monitoring rates were similar before and after treatment initiation (41% and 46%, respectively), while rates of DNA monitoring declined (55% and 29%). Monitoring among \u27treatment ineligible\u27 patients was similar to those in the \u27equivocal\u27 and untreated \u27definite\u27 groups. A large proportion of US HBV patients under routine care did not receive recommended annual laboratory monitoring, especially after initiation of antiviral treatment, and nearly one-third of patients with \u27definite\u27 indications for antiviral therapy remained untreated
On the feasibility of N2 fixation via a single-site FeI/FeIV cycle: Spectroscopic studies of FeI(N2)FeI, FeIV=N, and related species
The electronic properties of an unusually redox-rich iron system, [PhBPR 3]FeNx (where [PhBPR 3] is [PhB(CH2PR2)3]−), are explored by Mössbauer, EPR, magnetization, and density-functional methods to gain a detailed picture regarding their oxidation states and electronic structures. The complexes of primary interest in this article are the two terminal iron(IV) nitride species, [PhBPiPr 3]FeN (3a) and [PhBPCH2Cy 3]FeN (3b), and the formally diiron(I) bridged-Fe(μ-N2)Fe species, {[PhBPiPr 3]Fe}2(μ-N2) (4). Complex 4 is chemically related to 3a via a spontaneous nitride coupling reaction. The diamagnetic iron(IV) nitrides 3a and 3b exhibit unique electronic environments that are reflected in their unusual Mössbauer parameters, including quadrupole-splitting values of 6.01(1) mm/s and isomer shift values of −0.34(1) mm/s. The data for 4 suggest that this complex can be described by a weak ferromagnetic interaction (J/D < 1) between two iron(I) centers. For comparison, four other relevant complexes also are characterized: a diamagnetic iron(IV) trihydride [PhBPiPr 3]Fe(H)3(PMe3) (5), an S = 3/2 iron(I) phosphine adduct [PhBPiPr 3]FePMe3 (6), and the S = 2 iron(II) precursors to 3a, [PhBPiPr 3]FeCl and [PhBPiPr 3]Fe-2,3:5,6-dibenzo-7-aza bicyclo[2.2.1]hepta-2,5-diene (dbabh). The electronic properties of these respective complexes also have been explored by density-functional methods to help corroborate our spectral assignments and to probe their electronic structures further
Trends in Cirrhosis and Mortality by Age, Sex, Race, and Antiviral Treatment Status Among US Chronic Hepatitis B Patients (2006-2016)
BACKGROUND: Changing US demographics and evolving chronic hepatitis B (CHB) treatments may affect longitudinal trends in CHB-related complications. We studied trends in the prevalence of cirrhosis (past or present) and incidence of all-cause mortality, stratified by patient age, sex, race, and antiviral treatment status, in a sample from US health care systems.
METHODS: Joinpoint and Poisson regression (univariate and multivariable) were used to estimate the annual percent change in each outcome from 2006 to 2016.
RESULTS: Among 5528 CHB patients, cirrhosis prevalence (including decompensated cirrhosis) rose from 6.7% in 2006 to 13.7% in 2016; overall mortality was unchanged. Overall rates of cirrhosis and mortality were higher among treated patients, but adjusted annual percent changes (aAPC) were significantly lower among treated than untreated patients (cirrhosis: aAPC +2.4% vs. +6.2%, mortality: aAPC -3.9% vs. +4.0%). Likewise, among treated patients, the aAPC for mortality declined -3.9% per year whereas among untreated patients, mortality increased +4.0% per year.
CONCLUSIONS: From 2006 to 2016, the prevalence of cirrhosis among CHB patients doubled. Notably, all-cause mortality increased among untreated patients but decreased among treated patients. These results suggest that antiviral treatment attenuates the progression of cirrhosis and the risk of death among patients with CHB
What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming
This paper addresses the issue of what makes a problem genetic programming (GP)-hard by considering the binomial-3 problem. In the process, we discuss the efficacy of the metaphor of an adaptive fitness landscape to explain what is GP-hard. We indicate that, at least for this problem, the metaphor is misleading.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45613/1/10710_2004_Article_335714.pd
Visualizing Tree Structures in Genetic Programming
This paper presents methods to visualize the structure of trees that occur in genetic programming. These methods allow for the inspection of structure of entire trees even though several thousands of nodes may be involved. The methods also scale to allow for the inspection of structure for entire populations and for complete trials even though millions of nodes may be involved. Examples are given that demonstrate how this new way of “seeing” can afford a potentially rich way of understanding dynamics that underpin genetic programming. The examples indicate further studies that might be enabled by visualizing structure at these scales.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45620/1/10710_2005_Article_7621.pd
Demographic and Psychosocial Factors Associated with Suicide Mortality Among Childbearing-Aged Individuals: A Case-Control Study
Objective: Examine pregnancy-related, demographic, psychosocial and healthcare utilization factors associated with suicide mortality among childbearing-aged women. Methods: Data from nine health care systems in the Mental Health Research Network were included. A case-control study design was used in which 290 childbearing-age women who died by suicide (cases) from 2000-2015 were matched with 2,900 childbearing-age women from the same healthcare system and enrolled during the same time period who did not die by suicide. Conditional logistic regression was used to analyze associations between patient characteristics and suicide. Results: Women who died by suicide were more likely to have mental health or substance use disorders (aOR = 2.36, 95%CI: 1.46, 3.82) and to have visited the emergency department in the year prior to index date (aOR = 3.35, 95%CI: 2.39, 4.68). Pregnancy (aOR = 0.17, 95% CI: 0.04, 0.78) and delivery of a liveborn baby (aOR = 0.39, 95% CI: 0.16, 0.92) within a year before index date were associated with lower risk of suicide mortality. Women who experienced pregnancy loss were more likely to die by suicide (aOR = 1.41, 95% CI: 0.49, 4.06), but this was not statistically significant potentially due to small sample size (n = 6 cases; n = 21 control). Conclusions: Childbearing-aged women with mental health and/or substance use disorders, prior emergency department encounters may benefit from routine screening and monitoring for suicide risk. Future research should further examine the relationship between pregnancy loss and suicide mortality
Cancer and psychiatric diagnoses in the year preceding suicide
BACKGROUND: Patients with cancer are known to be at increased risk for suicide but little is known about the interaction between cancer and psychiatric diagnoses, another well-documented risk factor.
METHODS: Electronic medical records from nine healthcare systems participating in the Mental Health Research Network were aggregated to form a retrospective case-control study, with ICD-9 codes used to identify diagnoses in the 1 year prior to death by suicide for cases (N = 3330) or matching index date for controls (N = 297,034). Conditional logistic regression was used to assess differences in cancer and psychiatric diagnoses between cases and controls, controlling for sex and age.
RESULTS: Among patients without concurrent psychiatric diagnoses, cancer at disease sites with lower average 5-year survival rates were associated with significantly greater relative risk, while cancer disease sites with survival rates of \u3e70% conferred no increased risk. Patients with most psychiatric diagnoses were at higher risk, however, there was no additional risk conferred to these patients by a concurrent cancer diagnosis.
CONCLUSION: We found no evidence of a synergistic effect between cancer and psychiatric diagnoses. However, cancer patients with a concurrent psychiatric illness remain at the highest relative risk for suicide, regardless of cancer disease site, due to strong independent associations between psychiatric diagnoses and suicide. For patients without a concurrent psychiatric illness, cancer disease sites associated with worse prognoses appeared to confer greater suicide risk
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