2009 ESC/ERS Pulmonary Hypertension Guidelines and Connective Tissue Disease

ABSTRACTPulmonary hypertension was defined as mean pulmonary artery pressure ≥25 mmHg at the 4th World Symposium on Pulmonary Hypertension. In 2009, the European Society of Cardiology and European Respiratory Society jointly created guidelines for practical pulmonary hypertension classifications and treatments based on the discussions at the 4th World Symposium. This classification is characterized by division into five groups: Pulmonary arterial hypertension (PAH); Pulmonary hypertension due to left heart disease; Pulmonary hypertension due to lung disease and/or hypoxia; Chronic thromboembolic pulmonary hypertension; and Pulmonary hypertension with unclear and/or multifactorial mechanisms.PAH is a common and fatal complication of connective tissue disease (CTD), but pulmonary hypertension in CTD consists of PAH, pulmonary hypertension caused by myocardial involvement, pulmonary veno-occlusive disorder, pulmonary hypertension due to interstitial lung disease. PAH has been studied widely in SSc and the estimated prevalence of 7-12%. Treatment of CTD associated PAH (CTD-PAH) consists of general therapeutic options and specific treatment. Specific treatment of CTD-PAH patients is targeted to produce vasodilatation. Calcium channel blockers (CCBs) are indicated in cases where a sufficient decrease in pulmonary arterial pressure is seen in vasoreactivity testing. If vasoreactivity is absent in CTD-PAH patients, the treatment consists of the endothelin receptor antagonists, the prostacyclin analogues and phosphodiesterase-type 5 inhibitors. Few data are available to support the use of immunosuppression in CTD-PAH. However, some case reports suggested that a minority of CTD-PAH patients could benefit from immunosuppressive therapy. The treatment of CTD-PAH patients may differ from the treatment of idiopathic PAH

Science and technology of BOREXINO: A Real time detector for low-energy solar neutrinos: A Real Time Detector for Low Energy Solar Neutrinos

BOREXINO, a real-time device for low energy neutrino spectroscopy is nearing completion of construction in the underground laboratories at Gran Sasso, Italy (LNGS). The experiment's goal is the direct measurement of the flux of 7Be solar neutrinos of all flavors via neutrino-electron scattering in an ultra-pure scintillation liquid. Seeded by a series of innovations which were brought to fruition by large scale operation of a 4-ton test detector at LNGS, a new technology has been developed for BOREXINO. It enables sub-MeV solar neutrino spectroscopy for the first time. This paper describes the design of BOREXINO, the various facilities essential to its operation, its spectroscopic and background suppression capabilities and a prognosis of the impact of its results towards resolving the solar neutrino problem. BOREXINO will also address several other frontier questions in particle physics, astrophysics and geophysics

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

Initiation of rrn transcription in chloroplasts of Euglena gracilis bacillaris

The site of initiation of chloroplast rRNA synthesis was determined by Sl-mapping and by sequencing primary rRNA transcripts specifically labeled at their 5′-end. Transcription initiates at a single site 53 nucleotides upstream of the 5'-end of the mature 16S rRNA under all growth conditions examined. The initiation site is within a DNA sequence that is highly homologous to and probably derived from a tRNA gene-region located elsewhere in the chloroplast genome. A nearly identical sequence (102 of 103 nucleotides) is present near the replication origin. The near identity of the two sequences suggests a common mode for control of transcription of the rRNA genes and initiation of chloroplast DNA replication. The related sequence in the tRNA gene-region does not appear to serve as a transcript initiation site.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46967/1/294_2004_Article_BF00521275.pd

Planning for the Future: Human Factors in NextGen Air Traffic Management

The National Airspace System (NAS) Enterprise Architecture (EA) describes Next Generation Air Transportation System (NextGen) goals, operational changes, and guidance materials. While the primary focus of the NAS EA is on infrastructure delivery, the function of human factors is to assess and respond to the impacts of planned changes on end-users. The Federal Aviation Administration’s Human Factors Research and Engineering Division has strengthened the presence of human factors activities in NextGen products in the Human Systems Integration (HSI) and other Roadmaps. This paper will present the HSI Roadmap and explore NextGen human factors integration opportunities in tower operations. Opportunities have been identified through the analysis of operational improvements (OIs), decision points, and information obtained through stakeholder interviews. When examining the tower domain and surface operations, 35 OI-actor pairings were identified with 15 describing automation enhancing situation awareness, two describing decision-support tools, one describing procedural changes, and 17 describing mixed changes