2,686 research outputs found

    Measurement of the cross section and muon charge asymmetry from charged current Drell-Yan process at 13 TeV centre of mass energy with the ATLAS detector

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    PhDThis thesis documents the measurements of the W ! (charged current Drell-Yan Process) production cross section and the muon charge asymmetry. Experimental data and Monte Carlo samples, from proton-proton collisions at a centre of mass energy of 13 TeV, corresponding to a total integrated luminosity of 44.3 fb 1 are utilised; the data presented was recorded by the ATLAS experiment at the Large Hadron Collider during the year 2017. The measurements are performed di erentially in muon pseudorapidity j j and are within the W boson invariant mass in a kinematic ducial volume of muon and neutrino transverse momentum p ; T > 30 GeV and muon pseudorapidity j j < 2:4. The ducial measurements uncertainties are below 2% empowering these measurements to constrain the modelling of the proton composition.Consejo Nacional de Ciencia y Tecnologia (CONACYT) and Consejo Zacatecano de Ciencia, Tecnlogia e Innovacion (COZCYT)

    Rethinking healthcare quality and prestige: is this a manager's number one problem?

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    Healthcare institutions are organizations driven to provide medical assistance at a certain level of quality service and safety. To achieve the recognition of excellence, these entities can undergo accreditations and comparisons with other institutions of their kind through ranking systems in order to validate patient, organizational, and academic institutional standards. Usually, the goal is to obtain prestige and recognition as well as positive feedback toward the institution, motivating improvement. In this scenario, the manager's role is to communicate these results and propose strategies to maintain or increase healthcare quality. The following article discusses the fundamentals of the processes of accreditation and ranking systems, the importance of health managers on the complexity of these processes and on achieving an institution's goals and vision, but also intends to provide a critical view toward the desire for prestige a hospital envisions within the feedback when its biggest aim should be directed to improve in benefit of the patients and workforce conditions

    Avoiding SARS-CoV-2 infection in healthcare workers: is behavioral change the answer?

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    BackgroundThe COVID-19 pandemic has become an important cause of morbimortality, and healthcare workers are at the highest risk of infection. As a result, policies and guidelines have been issued, and behavioral changes have been crucial in hospitals. Among these measures, the implementation of personal protective equipment (PPE) and its appropriate use in the workplace is key to avoiding contagion, as is understanding new measures regarding patient admission, distribution, constant education on virtual platforms, among others, and changing conduct to reduce contagion. However, behavioral change interventions in healthcare workers are challenging as contextual characteristics, attributes of the intervention, and psychological factors are involved.Study objectivesThe issue under investigation is the impact of COVID-19 on frontline healthcare workers in the emergency department of the Fundación Cardioinfantil (FCI). The objective was to describe their behavioral changes by studying and monitoring SARS-CoV-2 infection and their relationship through the tracing process in 2020.MethodsWe conducted a case study to identify and relate the SARS-CoV-2 infection rate within the personnel in the department and the response of healthcare workers to the implementation and adherence to the use of PPE through the analysis of the different variables that contributed to behavioral change. Data were collected by a single author and analyzed by two authors using both the individual-level logic model technique and the triangulation of information, with approval from the institutional review board.DiscussionSeveral interventions for behavior change were registered in the data collection process. The data obtained indicated that implementation, embedding, and integration were perceived as collective and individual behavioral processes. This was supported by evidence from healthcare interventions, such as education, incentivization, training, restriction, environmental restructuring, modeling, and enablement.ConclusionBehavioral science should be part of public health responses, as the theoretical basis suggests that change may modify the response to avoid the transmission of infectious diseases. Therefore, individuals at the highest risk appear to adopt guidance with targeted behavior adaptation interventions. Efforts to inform, instruct, and motivate healthcare workers must be continuous, and actions at the community level must be strengthened, as it is human behavior that determines the spread and mortality of infectious diseases, where community compliance to preventive behaviors plays a crucial role

    Top anomalous chromomagnetic dipole moment in the Bestest Little Higgs Model

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    We investigate the anomalous Chromomagnetic Dipole Moment (CMDM), μ^tBLHM\hat{\mu}^{BLHM}_t of the top quark in the Bestest Little Higgs Model (BLHM). We include new interactions with the involvement of the extended CKM matrix of the BLHM and we explore most of the allowed parameter space, obtaining multiple CMDM in the range of 10−4−10−210^{-4}-10^{-2}. We consider experimental and model parameter uncertainties to integrate them into all our calculations using a Monte Carlo method. This enables us to determine the extent to which deviations arising from experimental errors can be accommodated within the statistical errors of the model and which relate to the physics framework of the BLHM, guiding future theory, phenomenological, and experimental research

    ESTUDIO COMPARATIVO DEL DESARROLLO DE LA ALFABETIZACIÓN EN POBLACIONES DE EDUCACIÓN PRIMARIA Y PREESCOLAR

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    A comparative study about early literacy of 33 children from elementary school and 27 children from kindergarden was carried out, applying the Instrumento de Observación de los Logros de la Lectoescritura Inicial (Escamilla, Andrade, Basurto y Ruíz, 1996). The purpose of the present work was to characterize the level of early literacy considering the knowledge of the language written in both groups. The groups were evaluated in the first two weeks of the month of September and of October of the school cycle 2011-2012. In the results it was observed that they were only significant differences in the identification of letters. The results are discussed in relation to the concept of early literacy

    Lethal Concentration of Carbonate OF Ca as a Function of the Osmotic Potential of the Solution in Sunflower (Heliantusannuus L.)

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    In order to know the effect of CaCO3 in solution, sunflower seedlings cv. Victoria, an experiment was completely randomized, where five concentrations of calcium carbonate were evaluated to determine the lethal concentration (LC50), pH and EC of the solution under laboratory conditions in the Universidad Tecnologica de Tehuacan, to simulate of excess Ca++ in the soils or nutrient solution. The results indicate, the LC50 was 62.8 mg CaCO3 L-1, so maximum values for pH, EC and calcium absorption, They were achieved at concentrations of 120 and 160 mg L-1 of CaCO3. This work can be concluded, Sunflower can absorb the high levels of calcium and used as an alternative, for remediation of agricultural soils affected hard water and Ca++ salts

    Joint effect of physical activity and sedentary behaviour on cardiovascular risk factors in Chilean adults

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    Background: To investigate the associations between combined categories of moderate-to-vigorous physical activity (MVPA) and sedentary behaviour (SB) with markers of adiposity and cardiovascular risk in adults. Methods: Overall, 5040 participants (mean age 46.4 years and 59.3% women) from the cross-sectional Chilean National Health Survey 2009–2010 were included in this study. MVPA and SB were measured using the Global Physical Activity questionnaire. Four categories were computed using MVPA- and SB-specific cut-offs (‘High-SB &#38; Active’, ‘Low-SB &#38; Active’, ‘High-SB &#38; Inactive’ and ‘Low-SB &#38; Inactive’). Results: Compared to the reference group (‘High-SB &#38; Inactive’), those in ‘High-SB &#38; Active’ and ‘Low-SB &#38; Active’ were less likely to have an obese BMI (OR: 0.67 [0.54; 0.85], P = 0.0001 and 0.74 [0.59; 0.92] P = 0.0007, respectively) and less likely to have metabolic syndrome (OR: 0.63 [0.49; 0.82], P &lt; 0.0001 and 0.72 [0.57; 0.91], P = 0.007), central obesity (OR: 0.79 [0.65; 0.96], P = 0.016 and 0.71 [0.59; 0.84], P &lt; 0.0001), diabetes (OR: 0.45 [0.35; 0.59], P &lt; 0.0001 and 0.44 [0.34; 0.56], P &lt; 0.0001) and hypertension (OR: 0.52 [0.43; 0.63], P &lt; 0.0001 and 0.60 [0.50; 0.72], P &lt; 0.0001), respectively. Conclusions: Being physically active and spending less time in SBs was associated with lower adiposity and improvements in cardiovascular risk factors

    Condition monitoring strategy based on spectral energy estimation and linear discriminant analysis applied to electric machines

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    Condition-based maintenance plays an important role to ensure the working condition and to increase the availability of the machinery. The feature calculation and feature extraction are critical signal processing that allow to obtain a high-performance characterization of the available physical magnitudes related to specific working conditions of machines. Aiming to overcome this issue, this research proposes a novel condition monitoring strategy based on the spectral energy estimation and Linear Discriminant Analysis for diagnose and identify different operating conditions in an induction motor-based electromechanical system. The proposed method involves the acquisition of vibration signals from which the frequency spectrum is computed through the Fast Fourier Transform. Subsequently, such frequency spectrum is segmented to estimate a feature matrix in terms of its spectral energy. Finally, the feature matrix is subjected to a transformation into a 2-dimentional base by means of the Linear Discriminant Analysis and the final diagnosis outcome is performed by a NN-based classifier. The proposed strategy is validated under a complete experimentally dataset acquired from a laboratory electromechanical system.Peer ReviewedPostprint (published version
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