The 750 GeV Diphoton Excess as a First Light on Supersymmetry Breaking

One of the most exciting explanations advanced for the recent diphoton excess found by ATLAS and CMS is in terms of sgoldstino decays: a signal of low-energy supersymmetry-breaking scenarios. The sgoldstino, a scalar, couples directly to gluons and photons, with strength related to gaugino masses, that can be of the right magnitude to explain the excess. However, fitting the suggested resonance width, Gamma ~ 45 GeV, is not so easy. In this paper we explore efficient possibilities to enhance the sgoldstino width, via the decay into two Higgses, two Higgsinos and through mixing between the sgoldstino and the Higgs boson. In addition, we present an alternative and more efficient mechanism to generate a mass splitting between the scalar and pseudoscalar components of the sgoldstino, which has been suggested as an interesting alternative explanation to the apparent width of the resonance.Comment: 14 pages, 3 figure

On the Spontaneous CP Breaking in the Higgs Sector of the Minimal Supersymmetric Standard Model

We revise a recently proposed mechanism for spontaneous CP breaking at finite temperature in the Higgs sector of the Minimal Supersymmetric Standard Model, based on the contribution of squarks, charginos and neutralinos to the one-loop effective potential. We have included plasma effects for all bosons and added the contribution of neutral scalar and charged Higgses. While the former have little effect, the latter provides very strong extra constraints on the parameter space and change drastically the previous results. We find that CP can be spontaneously broken at the critical temperature of the electroweak phase transition without any fine-tuning in the parameter space.Comment: 9 pages, LATEX, 3 appended postscript figures, IEM-FT-76/9

Comprehensive study of Leon-Queretaro area

There are no author-identified significant results in this report

Competing risk modelling for in-hospital length of stay

In this study, we propose a framework for analysing in-hospital patient data from electronic health records. We transform longitudinal sparse vital signs measurements into cross-sectional data via descriptive statistics, imputing missing values, and evaluating variables strongly associated with time to mutually exclusive events (favourable medical discharge or deterioration). We employ competing risk and random survival forest techniques to predict patients’ length of stay and evaluate models’ performance via Brier score

The 2-loop MSSM finite temperature effective potential with stop condensation

We calculate the finite temperature 2-loop effective potential in the MSSM with stop condensation, using a 3-dimensional effective theory. We find that in a part of the parameter space, a two-stage electroweak phase transition appears possible. The first stage would be the formation of a stop condensate, and the second stage is the transition to the standard electroweak minimum. The two-stage transition could significantly relax the baryon erasure bounds, but the parameter space allowing it (m_H \lsim 100 GeV, m_tR \sim 155-160 GeV) is not very large. We estimate the reliability of our results using renormalization scale and gauge dependence. Finally we discuss some real-time aspects relevant for the viability of the two-stage scenario.Comment: 30 pages, 7 figure

Competing risk models in early warning systems for in-hospital deterioration: the role of missing data imputation

Early Warning Systems (EWS) are useful and very important tools for evaluating the health deteriorating of hospitalised patients, using vital signs (such as heart rate, temperature, etc.) as the main input, based on electronic health records (EHR) which most of the time result in sparse data sets with high rates of missing data. In this work, we aim to study the effect of different imputation techniques on time-to-event (survival) models. For each case we have patient's sex and age, as well as longitudinal data along the hospitalisation for 7 vital signs (temperature, systolic and diastolic pressure, heart and respiratory rates, oxygen saturation and neurological state). We summarise these longitudinal data with the following central tendency, order and dispersion statistics: maximum, minimum, first observation, last observation, mean, standard deviation, average variance percentage and average derivative, transforming the original variables into a cross-sectional higher dimensional space, that still having missing data problems. Each hospitalisation has two possible final states: clinical deterioration or favourable discharge. Here, we model the time-to-event with competitive risk models taking into account the covariates. In the Galdakao-Usansolo University Hospital (Basque Country, Spain), a total of 19.602 hospitalisations (lengths of stay at least 24 hours) were collected during the year 2019, of which 852 (4.35\%) resulted in deterioration. These data correspond to 55.8\% of males and 44.2\% of females. We are using a set of imputation methods, such as central tendency statistics (mean and mode), Multiple Imputation by Chained Equations (MICE), Non-Linear Principal Components Analysis (NLPCA) and Random Forest. We evaluate the performances of the imputation methods described before, via root mean square error and conclude the pros and cons of using each one in medical practice. Then, we use Fine and Gray's competitive risk models and the cause-specific Cox proportional hazard regression to model the time-to-event as a function of imputed summarised data. Finally, we evaluate these models employing the traditional and time-dependent area under the ROC curve, for horizon times of 24, 48, 72, 96 and 120 hospitalisation hours

Los arrabales de la Córdoba musulmana. De las fuentes escritas a la realidad arqueológica

We present in this report our particular visión about the knowledge situation of islamic Cordoba 's suburbs, departing from a little historiographic analysis and finishing, after explaining the facts we have nomaday thanks to the archeology, with a criticism trought of the present view.Presentamos en este artículo nuestra particular visión del estado de la cuestión sobre los arrabales de la Córdoba musulmana, partiendo de un sucinto análisis historiográfico y concluyendo, tras exponer los datos con que contamos en la actualidad gracias al rigor arqueológico, con una reflexión crítica del panorama actual.Comunicación presentada a: Jornadas Cordobesas de Arqueología Andaluza. Arqueología de Al Andalus: Los palacios islámicos. XI. 2001. Córdob

Guía para el desarrollo de habilidades de percepción, expresión y comprensión emocional en niños y niñas de edad escolar. Manual de aplicación

En esta guía se expone un programa de intervención diseñado para desarrollar habilidades de percepción, expresión y comprensión emocional en niños y niñas de 6 a 12 años. El mismo ha sido elaborado en base a una adaptación de uno de los programa de referencia en el ámbito de la Inteligencia Emocional en español, el programa INTEMO, originalmente dirigido a adolescentes. Este material tiene el objetivo de servir de guía para la puesta en marcha de acciones sistemáticas para el desarrollo de habilidades emocionales en niños y niñas de edad escolar en ámbitos tanto académicos, como no académicos o extracurriculares. Para ello se presenta una síntesis de las bases teóricas que fundamentan este trabajo y se describen de manera detallada las fases, actividades, temporalización y materiales a utilizar. Además, se propone un listado de instrumentos que pueden utilizarse para la evaluación de su eficacia y se ofrecen recursos complementarios, como fichas u hojas de registro para facilitar la aplicación de este programa

Cattle welfare assessment at the slaughterhouse level: Integrated risk profiles based on the animal''s origin, pre-slaughter logistics, and iceberg indicators

Detection of on farm and transport animal welfare problems at slaughterhouse level is a key issue for the meat industry; however, usually, the assessments do not include basic aspects of animal health. For that reason, it is necessary to develop an assessment method that has an integrative scope and identifies the risk profiles in an-imals. Therefore, the aim of the present study was to detect cattle welfare indicators that can be implemented at the slaughterhouse level and to develop integrated risk profiles based on the animal''s origin, pre-slaughter lo-gistics, and animal-based indicators. We recorded the origin, commercial category, transportation details, and horn size of 1040 cattle upon arrival at the slaughterhouse. Cattle welfare was measured based on individual scores for vocalizations, stunning shots, carcass bruises, meat pH, severe hoof injuries, and organ condemnations. To characterize operational and logistic practices from the farm to the slaughterhouse, a two-step cluster analysis was applied to the aforementioned variables (production system, cattle type, horn size, journey distance, vehicle type), which identified four clusters: small feedlot and free-range profile (C1, n = 216, 20.8 %), feedlot profile (C2, n = 193, 18.6 %), culled dairy cows profile (C3, n = 262, 25.2 %), and free-range profile (C4, n = 369, 35.5 %). The animal''s diet and environmental conditions might have influenced the development of hoof disorders in C1 animals (P = 0.023), the proportion of animals that were re-shot was highest in C2 animals (P = 0.033), and C3 and C4 animals were most likely to suffer injuries such as severe bruising (P = 0.001). In addition, the number of stunning shots, meat pH, carcass bruises, severe hoof injuries, and liver condemnations, explained a significant variation in the incidence of various health and welfare consequences based on an animal''s origin, which confirmed their importance as ''welfare iceberg'' indicators. The study provided detailed data that can be included into assessment methods for the welfare of slaughter cattle, which can be tailored to specific production systems