Aircraft remote sensing of phytoplankton spatial patterns during the 1989 Joint Global Ocean Flux Study (JGOFS) North Atlantic bloom experiment

Mesoscale phytoplankton chlorophyll variability near the Joint Global Ocean Flux study sites along the 20 W meridian at 34 N, 47 N, and 59 N is discussed. The NASA P-3 aircraft and the Airborne Oceanographic Lidar (AOL) system provides remote sensing support for the North Atlantic Bloom Experiment. The principal instrument of the AOL system is the blue-green laser that stimulates fluorescence from photoplankton chlorophyll, the principal photosynthetic pigment. Other instruments on the NASA P-3 aircraft include up- and down-looking spectrometers, PRT-5 for infrared measurements to determine sea surface temperature, and a system to deploy and record AXBTs to measure subsurface temperature structure

U.S. Coast Guard alternatives for distributed data base management systems

The United States Coast Guard is a relatively small federal agency tasked with a number of duties. Its multi-mission nature and low budget is driving the Coast Guard to realize better use of its resources. A pivotal factor in this goal is the investment in the information systems architecture of the future, today. Within the information architecture, data base technology plays an important role. It is to be employed in major operational and administrative systems, as well as in the future Coast Guard District Minicomputer Procurement. The purpose of this thesis is to examine the alternatives available to the U.S. Coast Guard for implementing data base technology.http://archive.org/details/uscoastguardalte00fiegLieutenant, United States Coast GuardApproved for public release; distribution is unlimited

Letters of Caroline Norton to Lord Melbourne

(print) xvii, 182 p. : illus. ; 22 cmPreface xi -- Introduction 3 -- The Letters 25 -- Bibliography 173 -- Index 17

The giving standard: conditional cooperation in the case of charitable giving

In this study, we make a first attempt to investigate the mechanisms of conditional cooperation in giving outside experiments, using retrospective survey data on charitable giving (the Giving the Netherlands Panel Study 2005 (GINPS05, 2005 ; N  = 1474)). Our results show that in the case of door‐to‐door donations, social information affects perceived social norms for giving and, through this perception, influences the level of actual donations. The effect of social information on actual door‐to‐door donations is fully mediated by perceived social norms for giving. Furthermore, we found empirical support for the giving standard hypothesis. People in different income categories donate roughly the same amounts in separate instances (they use the same social information), and as a result people in lower income households donate a higher percentage of their income to charitable organizations

Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study.

peer reviewed[en] PURPOSE: Diet quality is a critical modifiable factor related to health, including the risk of cardiometabolic complications. Rather than assessing the intake of individual food items, it is more meaningful to examine overall dietary patterns. This study investigated the adherence to common dietary indices and their association with serum/metabolic parameters of disease risk. METHODS: Dietary intakes of the general adult population (n = 1404, 25-79 years) were assessed by a validated food-frequency questionnaire (174 items). The French ANSES-Ciqual food composition database was used to compute nutrient intakes. Seven indicators were calculated to investigate participants' diet quality: the Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension Score (DASH-S), Mediterranean Diet Score (MDS), Diet Quality Index-International (DQI-I), Dietary Inflammatory Index (DII), Dietary Antioxidant Index (DAI), and Naturally Nutrient-Rich Score (NNRS). Various serum/metabolic parameters were used in the validity and association analyses, including markers of inflammation, blood glucose, and blood lipid status. RESULTS: Following linear regression models adjusted for confounders, the DASH-S was significantly associated with most metabolic parameters (14, e.g., inversely with blood pressure, triglycerides, urinary sodium, uric acid, and positively with serum vitamin D), followed by the DQI-I (13, e.g., total cholesterol, apo-A/B, uric acid, and blood pressure) and the AHEI (11, e.g., apo-A, uric acid, serum vitamin D, diastolic blood pressure and vascular age). CONCLUSION: Food-group-based indices, including DASH-S, DQI-I, and AHEI, were good predictors for serum/metabolic parameters, while nutrient-based indices, such as the DAI or NNRS, were less related to biological markers and, thus, less suitable to reflect diet quality in a general population