Stationary Fuel Cell System Composite Data Products: Data Through Quarter 4 of 2012

This presentation from the U.S. Department of Energy's National Renewable Energy Laboratory includes stationary fuel cell system composite data products for data through the fourth quarter of 2012

U.S. Geographic Analysis of the Cost of Hydrogen from Electrolysis

This report summarizes U.S. geographic analysis of the cost of hydrogen from electrolysis. Wind-based water electrolysis represents a viable path to renewably-produced hydrogen production. It might be used for hydrogen-based transportation fuels, energy storage to augment electricity grid services, or as a supplement for other industrial hydrogen uses. This analysis focuses on the levelized production, costs of producing green hydrogen, rather than market prices which would require more extensive knowledge of an hourly or daily hydrogen market. However, the costs of hydrogen presented here do include a small profit from an internal rate of return on the system. The cost of renewable wind-based hydrogen production is very sensitive to the cost of the wind electricity. Using differently priced grid electricity to supplement the system had only a small effect on the cost of hydrogen; because wind electricity was always used either directly or indirectly to fully generate the hydrogen. Wind classes 3-6 across the U.S. were examined and the costs of hydrogen ranged from $3.74kg to$5.86/kg. These costs do not quite meet the 2015 DOE targets for central or distributed hydrogen production ($3.10/kg and$3.70/kg, respectively), so more work is needed on reducing the cost of wind electricity and the electrolyzers. If the PTC and ITC are claimed, however, many of the sites will meet both targets. For a subset of distributed refueling stations where there is also inexpensive, open space nearby this could be an alternative to central hydrogen production and distribution

ARRA Material Handling Equipment Composite Data Products: Data through Quarter 2 of 2013

This report includes 47 composite data products (CDPs) produced for American Recovery and Reinvestment Act (ARRA) fuel cell material handling equipment, with data through the second quarter of 2013

Informatics for RNA sequencing: A web resource for analysis on the cloud

Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki

ARRA Material Handling Equipment Composite Data Products: Data Through Quarter 4 of 2012

This presentation from the U.S. Department of Energy's National Renewable Energy Laboratory includes American Recovery and Reinvestment Act (ARRA) fuel cell material handling equipment composite data products for data through the fourth quarter of 2012

Hydrogen Storage Needs for Early Motive Fuel Cell Markets

The National Renewable Energy Laboratory's (NREL) objective for this project is to identify performance needs for onboard energy storage of early motive fuel cell markets by working with end users, manufacturers, and experts. The performance needs analysis is combined with a hydrogen storage technology gap analysis to provide the U.S. Department of Energy (DOE) Fuel Cell Technologies Program with information about the needs and gaps that can be used to focus research and development activities that are capable of supporting market growth

Phenylcyanamidocopper(I) and Silver(I) Complexes: Synthetic and Structural Studies

Phenylcyanamidocopper(I) and silver(I) complexes of the type, [{M(PPh3)2L}2] (M = Cu, L = 4-NO2pcyd or 4-Me2Npcyd; M = Ag, L = 4-Me2Npcyd), [Cu(PPh3)3L] (L = pcyd or 4-NO2-pcyd), [Ag-(PPh3)3L] (L = pcyd, 2-Clpcyd, 4-Clpcyd, 4-Brpcyd, 4-MeOpcyd, 4-NO2pcyd or 4-Me2Npcyd), [Ag(Me2phen)(2-Clpcyd)] (Me2phen = 2,9-dimethyl-1,10-phenanthroline) and [Ag(dppm)(4-Brpcyd)] (dppm = bis(diphenylphosphino)methane) have been synthesised and characterised and the crystal structures of four of the complexes determined. For both [{Cu(PPh3)2(4-Me2Npcyd)}2] ⋅ CH2Cl2 and [{Ag(PPh3)2(4-Me2Npcyd)}2], the cyanamide ligands bridge the metal atoms in a μ-1,3-fashion through the cyano and amido nitrogens. Each metal atom has a distorted tetrahedral geometry, being bound to two triphenylphosphine phosphorus atoms and two nitro-gen atoms from 4-Me2Npcyd ligands to give a \u27P2N2\u27 coordination sphere. In the case of the Cu complex the dimer is centrosymmetric but for the Ag complex the metal atoms are not equivalent. The complexes, [Ag(PPh3)3(4-Brpcyd)] and [Ag(PPh3)3(4-Me-Opcyd)], are discrete monomers, in which each of the Ag atoms adopts a distorted tetrahedral geometry, being bound to three triphenylphosphine phosphorus atoms and one phenylcyanamide ligand binding in a terminal fashion through the cyano nitrogen

Stationary Fuel Cell System Composite Data Products: Data through Quarter 2 of 2013

This report includes 24 composite data products (CDPs) produced for stationary fuel cell systems, with data through the second quarter of 2013

ARRA Material Handling Equipment Composite Data Products: Data through Quarter 2 of 2012

This presentation from the U.S. Department of Energy's National Renewable Energy Laboratory includes American Recovery and Reinvestment Act (ARRA) fuel cell material handling equipment composite data products for data through the second quarter of 2012

An Observational Analysis of Meal Patterns in Overweight and Obese Pregnancy

Background Nutrient intakes are known to be poorer among pregnant women with raised body mass index (BMI) than those with a healthy BMI. While meal patterns have the potential to influence obstetric, metabolic and anthropometric measures for mother and infant, limited data exists regarding meal patterns among pregnant women with raised BMI. Aim To identify categories of meal patterns among pregnant women with overweight and obesity and determine whether patterns change with advancing gestation. To determine if maternal meal patterns are associated with dietary intakes and pregnancy outcomes. Methods Prospective, observational analysis of pregnant women (n = 143) (BMI 25–39.9 kg/m2). Meal pattern data were analysed from 3-day food diaries at 16 and 28 weeks’ gestation. Outcomes include maternal blood glucose, insulin resistance, gestational diabetes, gestational weight gain and infant anthropometry. Results Three meal pattern categories were identified: ‘main meal dominant’ (3 main eating occasions + 0–3 snacks), ‘large meal dominant’ (≤ 2 main eating occasions + \u3c 2 snacks), and ‘snack dominant’ (3 main eating occasions + \u3e 3 snacks and ≤2main + ≥ 2 snacks). A main meal–dominant pattern prevailed at 16 weeks’ (85.3%) and a snack-dominant pattern at 28 weeks’ (68.5%). Dietary glycaemic index was lower among the main meal versus large meal–dominant pattern at 28 weeks (P = 0.018). Infant birth weight (kg) and macrosomia were highest among participants with a large meal–dominant pattern at 28 weeks (P = 0.030 and P = 0.008, respectively). Conclusion Women with raised BMI changed eating patterns as pregnancy progressed, moving from main meal–dominant to snack-dominant patterns. Large meal–dominant meal patterns in later pregnancy were associated with higher glycaemic index and greater prevalence of macrosomia