Scientific Goals and Objectives for the Human Exploration of Mars: 1. Biology and Atmosphere/Climate

To prepare for the exploration of Mars by humans, as outlined in the new national vision for Space Exploration (VSE), the Mars Exploration Program Analysis Group (MEPAG), chartered by NASA's Mars Exploration Program (MEP), formed a Human Exploration of Mars Science Analysis Group (HEM-SAG), in March 2007. HEM-SAG was chartered to develop the scientific goals and objectives for the human exploration of Mars based on the Mars Scientific Goals, Objectives, Investigations, and Priorities.1 The HEM-SAG is one of several humans to Mars scientific, engineering and mission architecture studies chartered in 2007 to support NASA s plans for the human exploration of Mars. The HEM-SAG is composed of about 30 Mars scientists representing the disciplines of Mars biology, climate/atmosphere, geology and geophysics from the U.S., Canada, England, France, Italy and Spain. MEPAG selected Drs. James B. Garvin (NASA Goddard Space Flight Center) and Joel S. Levine (NASA Langley Research Center) to serve as HEMSAG co-chairs. The HEM-SAG team conducted 20 telecons and convened three face-to-face meetings from March through October 2007. The management of MEP and MEPAG were briefed on the HEM-SAG interim findings in May. The HEM-SAG final report was presented on-line to the full MEPAG membership and was presented at the MEPAG meeting on February 20-21, 2008. This presentation will outline the HEM-SAG biology and climate/atmosphere goals and objectives. A companion paper will outline the HEM-SAG geology and geophysics goals and objectives

Genome modeling system: A knowledge management platform for genomics

In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395) and matched lymphoblastoid line (HCC1395BL). These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms

Metodologias utilizadas para detectar distúrbios emocionais em clínicas de assistência primária à saúde: revisão de literatura

A series of studies in the field of Epidemiological Psychiatry have been performed over the last two decades, and these have focused on the ability of primary care physicians to detect emotional disorders in the patients that attend their practices. The scientific methodology utilized in these studies is the subject of this review, which contains a discussion concerning: a) interviewer awareness bias; b) accuracy of the instruments and c) medical and psychological concepts involved in defining minor emotional disorders. Suggestions for change in the methodology are made in each of the sections of the review.Na área de epidemiologia psiquiátrica vêm sendo realizados, nos últimos vinte anos, estudos que têm como finalidade medir a habilidade que clínicos gerais possuem em detectar distúrbios emocionais nos pacientes que procuram atendimento na rede básica de saúde. A metodologia utilizada nesses estudos é o tema central da atual revisão, que contém a) viés do entrevistador; b) acuidade dos instrumentos; e c) conceitos médicos e psicológicos envolvidos na definição de distúrbio psiquiátrico menor. São também apresentadas sugestões para mudanças de metodologia

A dynamic theory of network failure

Organizational and sociological research dealing with network governance has mainly focused on network advantages rather than on their problems or dysfunctionalities. This left partially unexplored the field of network failure. Even if some early attempts at explicitly theorizing network failures have been made, we argue that explanations based mainly on social conditions (ignorance and opportunism) offered by this emerging theory (e.g. Schrank and Whitford, 2011), are not exhaustive. In this article we report the results of our empirical investigation on the underperforming network between the worldwide famous Venice Film Festival and its local hospitality system (in Venice, Italy). In the case study we are presenting, we will show how institutions have not been able to inhibit opportunism and sustain trust among network members because of mobilizing practices developed across formal lines of communication. With this work we propose a dynamic theory of network failure, answering to the more general call for network theories to focus the attention on agency and micro-processes