Enhancing Quality in Psychiatry with Psychiatrists (EQUIPP)—Results from a Pilot Study

To pilot a pharmacist-led, patient centered medication management program

Aerosol delivery to ventilated newborn infants: historical challenges and new directions

There are several aerosolized drugs which have been used in the treatment of neonatal respiratory illnesses, such as bronchodilators, diuretics, and surfactants. Preclinical in vitro and in vivo studies identified a number of variables that affect aerosol efficiency, including particle size, aerosol flows, nebulizer choice, and placement. Nevertheless, an optimized aerosol drug delivery system for mechanically ventilated infants still does not exist. Increasing interest in this form of drug delivery requires more controlled and focused research of drug/device combinations appropriate for the neonatal population. In the present article, we review the research that has been conducted thus far and discuss the next steps in developing the optimal aerosol delivery system for use in mechanically ventilated neonates

Heavy and light roles: myosin in the morphogenesis of the heart

Myosin is an essential component of cardiac muscle, from the onset of cardiogenesis through to the adult heart. Although traditionally known for its role in energy transduction and force development, recent studies suggest that both myosin heavy-chain and myosin lightchain proteins are required for a correctly formed heart. Myosins are structural proteins that are not only expressed from early stages of heart development, but when mutated in humans they may give rise to congenital heart defects. This review will discuss the roles of myosin, specifically with regards to the developing heart. The expression of each myosin protein will be described, and the effects that altering expression has on the heart in embryogenesis in different animal models will be discussed. The human molecular genetics of the myosins will also be reviewed

ISSN exercise & sport nutrition review: research & recommendations

Sports nutrition is a constantly evolving field with hundreds of research papers published annually. For this reason, keeping up to date with the literature is often difficult. This paper is a five year update of the sports nutrition review article published as the lead paper to launch the JISSN in 2004 and presents a well-referenced overview of the current state of the science related to how to optimize training and athletic performance through nutrition. More specifically, this paper provides an overview of: 1.) The definitional category of ergogenic aids and dietary supplements; 2.) How dietary supplements are legally regulated; 3.) How to evaluate the scientific merit of nutritional supplements; 4.) General nutritional strategies to optimize performance and enhance recovery; and, 5.) An overview of our current understanding of the ergogenic value of nutrition and dietary supplementation in regards to weight gain, weight loss, and performance enhancement. Our hope is that ISSN members and individuals interested in sports nutrition find this review useful in their daily practice and consultation with their clients

Multisensor Image Fusion, Mining, and Reasoning: Rule Sets for Higher-Level AFE in a COTS Environment

Cultural features of interest for map making are often defined by qualitative non-local spatial relationships. Coastal shoreline, for example, is the boundary where land, including islands, shares edge with open water. Previously, we reported on our Neural Fusion system for multisensor image fusion and mining for local features. In this paper, we introduce a rule-based post-mining stage that infers higher-level feature descriptions from local mining results. Our methods for fusion and mining are based on concepts derived from neural models of visual processing. They capture local spectral and spatial information for semi-supervised pattern learning & recognition. With the added capability of non-local geospatial reasoning, we demonstrate feature extractions that are not possible using local pattern recognition alone, like river features through cloud occlusions. We have incorporated these methods into a commercial software platform for imagery exploitation. We summarize the approach and user interfaces, and demonstrate the integration of geospatial reasoning with our Neural Fusion and Mining toolset

FAT-FREE MASS INDEX IN NCAA DIVISION I AND II COLLEGIATE AMERICAN FOOTBALL PLAYERS

Fat-free mass index (FFMI) is a heightadjusted assessment of fat-free mass (FFM), with previous research suggesting a natural upper limit of 25 kg. m(-2) in resistance trained male athletes. The current study evaluated upper limits for FFMI in collegiate American football players (n = 235) and evaluated differences between positions, divisions, and age groups. The sample consisted of 2 National Collegiate Athletic Association Division I teams (n = 78, n = 69) and 1 Division II team (n = 88). Body composition was assessed via dual-energy x-ray absorptiometry and used to calculate FFMI; linear regression was used to normalize values to a height of 180 cm. Sixty-two participants (26.4%) had height-adjusted FFMI values above 25 kg.m(-2) (mean = 23.7 +/- 2.1 kg.m(-2); 97.5th percentile = 28.1 kg.m(-2)). Differences were observed among position groups (p < 0.001; eta(2) = 0.25), with highest values observed in offensive linemen (OL) and defensive linemen (DL) and lowest values observed in offensive and defensive backs. Fat-free mass index was higher in Division I teams than Division II team (24.3 +/- 1.8 kg.m(-2) vs. 23.4 +/- 1.8 kg.m(-2); p, 0.001; d = 0.49). Fat-free mass index did not differ between age groups. Upper limit estimations for FFMI seem to vary by position; although the 97.5th percentile (28.1 kg.m(-2)) may represent a more suitable upper limit for the college football population as a whole, this value was ex-ceeded by 6 linemen (3 OL and 3 DL), with a maximal observed value of 31.7 kg.m(-2). Football practitioners may use FFMI to evaluate an individual's capacity for additional FFM accretion, suitability for a specific position, potential for switching positions, and overall recruiting assessment