Conservando el pasado para preservar el futuro: Un modelo de gestión posible

The present paper aims to transmit the experience gained in planing, developing and concreting the plan to preserve bibliographic material. It emphasizes the manage of ressources and the utilization of the institutional opportunities present, for the development of such a program

Gender Specific Disruptions in Emotion Processing in Younger Adults with Depression

Background: One of the principal theories regarding the biological basis of major depressive disorder (MDD) implicates a dysregulation of emotion-processing circuitry. Gender differences in how emotions are processed and relative experience with emotion processing might help to explain some of the disparities in the prevalence of MDD between women and men. This study sought to explore how gender and depression status relate to emotion processing. Methods: This study employed a 2 (MDD status) × 2 (gender) factorial design to explore differences in classifications of posed facial emotional expressions (N=151). Results: For errors, there was an interaction between gender and depression status. Women with MDD made more errors than did nondepressed women and men with MDD, particularly for fearful and sad stimuli (Ps Ps P=.01). Men with MDD, conversely, performed similarly to control men (P=.61). Conclusions: These results provide novel and intriguing evidence that depression in younger adults (years) differentially disrupts emotion processing in women as compared to men. This interaction could be driven by neurobiological and social learning mechanisms, or interactions between them, and may underlie differences in the prevalence of depression in women and men. Depression and Anxiety, 2009. Published 2008 Wiley-Liss, Inc

Towards a resilient community: A decision support framework for prioritizing stakeholders' interaction areas

Interactions among community stakeholders act as a buffer against disasters and present a way to build community resilience. Several decision support frameworks have been proposed in the literature to improve community resilience, but none focus on interactions among stakeholders. This paper presents a decision support framework to guide decision-makers in prioritizing areas of interaction based on their mutual impact. The framework is built on three components. The first involved conducting a literature review to identify areas of interaction among community stakeholders; resulting in identifying 27 factors that reflect the various interaction areas. The second was to implement a Delphi study to capture the dependency among the different areas. The third was to prioritize the identified areas of interaction through network analysis techniques to understand the propagating impacts of a change in one area on the others. The framework was applied to Spain, utilizing data provided by Spanish resilience experts. Our findings indicate a high degree of interdependence among all areas of interaction. Decentralization of the decision-making process and effective leading capabilities of emergency organizations have been identified as top priority areas. By utilizing this framework, decision-makers can systematically enhance interactions among diverse stakeholders, creating a roadmap to improve community resilience

The Sensitivity and Psychometric Properties of a Brief Computer-Based Cognitive Screening Battery in a Depression Clinic

At present, there is poor accuracy in assessing cognitive and vegetative symptoms in depression using clinician or self-rated measures, suggesting the need for development of standardized tasks to assess these functions. The current study assessed the psychometric properties and diagnostic specificity of a brief neuropsychological screening battery designed to assess core signs of depression; psychomotor retardation, attention and executive functioning difficulties, and impaired emotion perception within an outpatient psychiatry setting. Three hundred eighty-four patients with mood disorders and 77 healthy volunteers participated. A large percentage of patients met diagnostic criteria for Major Depressive Disorder alone (49%) or with another comorbid psychiatric disorder (24%). A brief, 25-min battery of computer-based tests was administered to control participants and patients measuring the constructs of inhibitory control, attention, visual perception, and both executive and visual processing speed. The patient groups performed significantly worse than the control group regardless of diagnosis on visual perception and attention accuracy and processing speed factors. Surprisingly, the anxiety disorder group performed better than several other psychiatric disorder groups in inhibitory control accuracy. Developing valid and reliable measures of cognitive signs in mood disorders creates excellent opportunities for tracking cognitive status prior to initiation of treatment, and allows for reliable retest following treatment

Hallazgos neurorradiológicos de la Acidosis Glutárica tipo I

Glutaric aciduria type I is a rare disorder of organic acid metabolism caused by deficiency of glutaryl-CoA dehydrogenase, a mitochondrial enzyme. Improper degeneration of amino acids: tryptophan, lysine, and hydroxylysine, results in increased levels of glutaric acid, which typically becomes clinically manifest as an acute dystonic crisis in young children. Accumulation of glutaric acid causes neurotoxicity in the basal ganglia and fronto-temporal cortex which can lead to progressive dystonia, hypotonia, permanently impaired speech and seizures. Because dietary and drug therapy may alter the natural history of the disease, early diagnosis of such patients is critical. We report the magnetic resonance (MR) imaging findings in a 16 year-old girl with this disorder who presented with a chronic dystonic syndrome and previously diagnosed of brain paralysis. MR imaging demonstrated bilateral involvement of the putamina and periventricular white matter, and bilateral temporal atrophy and widened Silvian fissure

Piii‐37

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/109838/1/cptclpt2006257.pd

LCPOM: Precise Reconstruction of Polarized Optical Microscopy Images of Liquid Crystals

When viewed with a cross-polarized optical microscope (POM), liquid crystals display interference colors and complex patterns that depend on the material's microscopic orientation. That orientation can be manipulated by application of external fields, which provides the basis for applications in optical display and sensing technologies. The color patterns themselves have a high information content. Traditionally, however, calculations of the optical appearance of liquid crystals have been performed by assuming that a single-wavelength light source is employed, and reported in a monochromatic scale. In this work, the original Jones matrix method is extended to calculate the colored images that arise when a liquid crystal is exposed to a multi-wavelength source. By accounting for the material properties, the visible light spectrum and the CIE color matching functions, we demonstrate that the proposed approach produces colored POM images that are in quantitative agreement with experimental data. Results are presented for a variety of systems, including radial, bipolar, and cholesteric droplets, where results of simulations are compared to experimental microscopy images. The effects of droplet size, topological defect structure, and droplet orientation are examined systematically. The technique introduced here generates images that can be directly compared to experiments, thereby facilitating machine learning efforts aimed at interpreting LC microscopy images, and paving the way for the inverse design of materials capable of producing specific internal microstructures in response to external stimuli.Comment: 12 pages, 5 figures (main text). 6 pages, 6 figures (appendices

Systematic approach to cyber resilience operationalization in SMEs

The constantly evolving cyber threat landscape is a latent problem for today’s companies. This is especially true for the Small and Medium-sized Enterprises (SMEs) because they have limited resources to face the threats but, as a group, represent an extensive payload for cybercriminals to exploit. Moreover, the traditional cybersecurity approach of protecting against known threats cannot withstand the rapidly evolving technologies and threats used by cybercriminals. This study claims that cyber resilience, a more holistic approach to cybersecurity, could help SMEs anticipate, detect, withstand, recover from and evolve after cyber incidents. However, to operationalize cyber resilience is not an easy task, and thus, the study presents a framework with a corresponding implementation order for SMEs that could help them implement cyber resilience practices. The framework is the result of using a variation of Design Science Research in which Grounded Theory was used to induce the most important actions required to implement cyber resilience and an iterative evaluation from experts to validate the actions and put them in a logical order. Therefore, this study proposes that the framework could benefit SME managers to understand cyber resilience, as well as help them start implementing it with concrete actions and an order dictated by the experience of experts. This could potentially ease cyber resilience implementation for SMEs by making them aware of what cyber resilience implies, which dimensions it includes and what actions can be implemented to increase their cyber resilience