Puntos de corte para el acoso psicológico en el trabajo: el cuestionario breve de actos negativos (S-NAQ) en español

Antecedentes: el acoso psicológico en el trabajo es un estresor laboral severo de origen social. Sin embargo, en el contexto español, hay escasez de medidas que nos permitan diagnosticar de forma fiable si una persona está siendo objeto de acoso. Método: se informa de las propiedades psicométricas, la estructura factorial y los puntos de corte del Cuestionario Breve de Actos Negativos (S-NAQ) en una muestra española (N = 1.409). Resultados: el S-NAQ presenta unas buenas propiedades psicométricas. Los análisis factoriales exploratorios y confirmatorios revelan que la escala tiene una única dimensión. Los datos de las curvas ROC indican dos puntos de corte que nos permiten categorizar a las personas como “no expuestas a conductas de acoso” (puntuaciones menores de 15), “en riesgo de ser acosadas” (puntuaciones entre 15 y 22), o “víctimas de acoso” (puntuaciones mayores de 22). Conclusiones: estos puntos de corte pueden facilitar el diagnóstico de acoso y servir para diseñar intervenciones según cada categoría.Background: Workplace bullying is considered a major social stressor at work. However, in the Spanish context, there is a lack of measures that allow researchers and practitioners to distinguish between non-targets and targets of workplace bullying. Method: This study reports the psychometric properties, factor structure, and cutoff scores for the Short-Negative Acts Questionnaire (S-NAQ) in a Spanish sample (N = 1,409). Results: The S-NAQ demonstrated adequate psychometric properties. Moreover, both Exploratory and Confi rmatory Factor Analysis revealed that a unifactorial model of workplace bullying fi t the data best. Two cutoff points for the S-NAQ were formulated using receiver operating characteristic curves to categorize respondents as “not exposed to workplace bullying” (scores below 15), “at risk of being bullied” (scores between 15 and 22), and “targets of workplace bullying” (scores above 22). Conclusions: These cutoff scores may help researchers and practitioners in diagnosing workplace bullying and designing intervention strategies.Ministerio de Ciencia e Innovación PSI2017-83465-

Aerospace Medicine and Biology: A continuing supplement 180, May 1978

This special bibliography lists 201 reports, articles, and other documents introduced into the NASA scientific and technical information system in April 1978

USSR Space Life Sciences Digest, issue 1

The first issue of the bimonthly digest of USSR Space Life Sciences is presented. Abstracts are included for 49 Soviet periodical articles in 19 areas of aerospace medicine and space biology, published in Russian during the first quarter of 1985. Translated introductions and table of contents for nine Russian books on topics related to NASA's life science concerns are presented. Areas covered include: botany, cardiovascular and respiratory systems, cybernetics and biomedical data processing, endocrinology, gastrointestinal system, genetics, group dynamics, habitability and environmental effects, health and medicine, hematology, immunology, life support systems, man machine systems, metabolism, musculoskeletal system, neurophysiology, perception, personnel selection, psychology, radiobiology, reproductive system, and space biology. This issue concentrates on aerospace medicine and space biology

Aerospace medicine and biology. A continuing bibliography with indexes, supplement 206, May 1980

This bibliography lists 169 reports, articles, and other documents introduced into the NASA scientific and technical information system in April 1980

Anticipating the duration of public administration employees' future absences

Absenteeism aff ects state-owned companies who are obliged to undertake strategies to prevent it, be efficient and conduct eff ective human resource (HR) management. This paper aims to understand the reasons for Public Administration Employees’ (PAE) absenteeism and predict future employee absences. Data from 17,600 PAE from seven public databases regarding their 2016 absences was collected, and the Recency, Frequency and Monetary (RFM) and Support Vector Machine (SVM) algorithm was used for modeling the absence duration, backed up with a 10-fold cross-validation scheme. Results revealed that the worker profi le is less relevant than the absence characteristics. The most concerning employee profi le was uncovered, and a set of scenarios is provided regarding the expected days of absence in the future for each scenario. The veracity of the absence motives could not be proven and thus are totally reliable. In addition, the number of records of one absence day was disproportionate to the other records. The findings are of value to the Human Capital Management department in order to support their decisions regarding the allocation of workers and productivity management and use these valuable insights in the recruitment process. Until now, little has been known concerning the characteristics that aff ect PAE absenteeism, therefore enriching the necessity for further understanding of this matter in this particular.info:eu-repo/semantics/publishedVersio

Text Mining to Understand Emotion Triggers

In computational linguistics, most sentiment analysis builds binary classification models on customer reviews data to predict whether a review is positive or negative. In this thesis, we go a step further and build interpretable classification models to predict fine-grained emotions associated with text (such as happy, sad, productive and tired). This analysis is enabled by a unique journaling dataset containing short pieces of text and associated emotional status self-reported by writers. To further study what people feel emotional about (emotion triggers), we perform model interpretation. We make two main contributions. First, we apply state-of-the-art text mining methodologies to extract emotion triggers from text, during which we discover and solve an issue with the attention mechanism in a popular deep learning model (Dynamic Memory Network). Second, we obtain data-driven evidence of emotion triggers based on a group of 67,000 people, which contributes to a better understanding of emotion triggers from the perspective of public mental health

USSR Space Life Sciences Digest, volume 1, no. 3

An overview of the developments and direction of the USSR Space Life Sciences Program is given. Highlights of launches, program development, and mission planning are given. Results of ground-based research and space flight studies are summarized. Topics covered include: space medicine and physiology; space biology; and life sciences technology

An Integrated Analysis of the Physiological Effects of Space Flight: Executive Summary

A large array of models were applied in a unified manner to solve problems in space flight physiology. Mathematical simulation was used as an alternative way of looking at physiological systems and maximizing the yield from previous space flight experiments. A medical data analysis system was created which consist of an automated data base, a computerized biostatistical and data analysis system, and a set of simulation models of physiological systems. Five basic models were employed: (1) a pulsatile cardiovascular model; (2) a respiratory model; (3) a thermoregulatory model; (4) a circulatory, fluid, and electrolyte balance model; and (5) an erythropoiesis regulatory model. Algorithms were provided to perform routine statistical tests, multivariate analysis, nonlinear regression analysis, and autocorrelation analysis. Special purpose programs were prepared for rank correlation, factor analysis, and the integration of the metabolic balance data

Human Life History Strategies: Calibrated to External or Internal Cues?

Human life history (LH) strategies are theoretically regulated by developmental exposure to environmental cues that ancestrally predicted LH-relevant world states (e.g., risk of morbidity-mortality). Recent modeling work has raised the question of whether the association of childhood family factors with adult LH variation arises via (i) direct sampling of external environmental cues during development and/or (ii) calibration of LH strategies to internal somatic condition (i.e., health), which itself reflects exposure to variably favorable environments. The present research tested between these possibilities through three online surveys involving a total of over 26,000 participants. Participants completed questionnaires assessing components of self-reported environmental harshness (i.e., socioeconomic status, family neglect, and neighborhood crime), health status, and various LH-related psychological and behavioral phenotypes (e.g., mating strategies, paranoia, and anxiety), modeled as a unidimensional latent variable. Structural equation models suggested that exposure to harsh ecologies had direct effects on latent LH strategy as well as indirect effects on latent LH strategy mediated via health status. These findings suggest that human LH strategies may be calibrated to both external and internal cues and that such calibrational effects manifest in a wide range of psychological and behavioral phenotypes