Relación entre calidad educativa y rendimiento escolar en el área de matemática en la I.E. 82208 – Marquez de Torre Tagle, alto Trujillo 2019

La presente investigación, de tipo no experimental según su diseño, básica según su finalidad y correlacional, posee como finalidad establecer la relación entre Calidad Educativa y Rendimiento Escolar en el área de matemáticas, en estudiantes del nivel secundario de la I.E. N° 82208-Marquez de Torre Tagle, Alto Trujillo-2019. La población censal estuvo constituida por 80 estudiantes del nivel secundario de la I.E. N° 82208-Marquez de Torre Tagle. Se utilizó para la variable Calidad Educativa, un cuestionario tipo Likert, compuesto de 31 ítems. El rendimiento escolar fue medido a través del Registro de Evaluación del área de matemática. Según los resultados obtenidos con la prueba estadística del coeficiente de correlación de Spearman se comprobó( p =0,05 y rho = 0,52), que existe una relación significativa muy baja entre la Calidad Educativa y Rendimiento Escolar en el Área de Matemática de los estudiantes del nivel secundario de la I.E. N° 82208-Marquez de Torre Tagle, Alto Trujillo2019.Tesi

Assessment of exposure to DDT and metabolites after indoor residual spraying through the analysis of thatch material from rural African dwellings

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.[Introduction] We report on the analysis of 4,4′-dichlorodiphenyltrichloroethane (4,4′-DDT) and its metabolites in thatch and branch samples constituting the wall materials of dwellings from South African subtropical areas. This approach was used to assess the exposure to DDT in the residents of the dwellings after indoor residual spraying (IRS) following recommended sanitation practices against malaria vectors.[Discussion] Examination of the distributions of DDT compounds (2,4′-DDT, 4,4′-DDT and its metabolites) in 43 dwellings from the area of Manhiça (Mozambique) has shown median concentrations of 19, 130, and 23 ng/g for 2,4′-DDT, 4,4′-DDT, and 4,4′-DDE, respectively, in 2007 when IRS implementation was extensive. The concentrations of these compounds at the onset of the IRS campaign (n = 48) were 5. 5, 47, and 2. 2 ng/g, respectively. The differences were statistically significant and showed an increase in the concentration of this insecticide and its metabolites. Calculation of 4,4′-DDT in the indoor air resulting from the observed concentrations in the wall materials led to the characteristic values of environments polluted with this insecticide. © 2011 The Author(s).Funding was received from MICINN (INMA G03/176, Consolider Ingenio GRACCIE, CSD2007-00067), CSIC (PIF06-053), and ArcRisk EU Project (FP7-ENV-2008-1-226534).Peer reviewe

Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton-proton collisions at root s=13TeV

A search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks is performed in proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the LHC. The analyzed data sample corresponds to an integrated luminosity of 35.9 fb(-1). The signal is characterized by a large missing transverse momentum recoiling against a bottom quark-antiquark system that has a large Lorentz boost. The number of events observed in the data is consistent with the standard model background prediction. Results are interpreted in terms of limits both on parameters of the type-2 two-Higgs doublet model extended by an additional light pseudoscalar boson a (2HDM+a) and on parameters of a baryonic Z simplified model. The 2HDM+a model is tested experimentally for the first time. For the baryonic Z model, the presented results constitute the most stringent constraints to date.Peer reviewe

A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton-proton collisions at an energy of s = 13 TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb - 1 . A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ¯