An analysis of supply chain related graduate programmes in Europe

This is the post-print version of the Article. The official published version of the Article can be accessed from the links below. Copyright @ 2013 Emerald Group Publishing Limited.Purpose – Motivated by a lack of studies in graduate level supply chain education, this research aims to explore trends in supply chain-related graduate programmes in Europe and to propose a framework for designing such programmes. Design/methodology/approach – The authors determine “knowledge” and “skills” areas applicable to supply chain management (SCM) education and analyse supply chain-related graduate programmes published by the European Logistics Association in 2004. They revisit the same programmes in 2011 to determine the recent situation and the trends. The authors use cluster analysis to reveal the similarities and differences among these programmes. Findings – The authors find two distinct clusters: focused and diversified. Focused programmes offer modules in knowledge and skills areas apart from SCM at a negligible level and place more emphasis on SCM in 2011 when compared to 2004. Diversified programmes show a similar increase in the emphasis on SCM with more variety in the knowledge and skills areas. Research limitations/implications – The authors' findings are based on SCM programmes delivered in Europe and over two discrete time periods. Future research should seek to extend this analysis to other continents with larger samples and incorporate the industry perspective to determine the potential gap between what programmes offer and what industry requires. Practical implications – SCM-related graduate programmes continue to redefine themselves. Clustering predominantly serves the universities in re-assessing and re-engineering their programmes, helps prospective graduates in their selection process and assists managers in their recruitment practices. Originality/value – This paper establishes a baseline for assessing SCM-related graduate programmes with respect to the knowledge and skills they offer and introduces a framework that may serve as a starting point for the design and positioning of such programmes

Use of untreated wastewater in peri-urban agriculture in Pakistan: risks and opportunities

Water reuse / Waste waters / Water quality / Groundwater / Irrigation practices / Soil properties / Environmental effects / Conjunctive use / Pakistan / Haroonabad

Uncovering the origin of ambiguity in nature-inclusive flood infrastructure projects

We aimed to uncover the origin of ambiguity in flood infrastructure projects using Building with Nature (BwN) design principles. BwN is a new approach in flood management that simultaneously integrates societal goals, such as flood safety and recreation development, with nature development goals by actively using natural dynamics and materials in the project’s design. Because BwN projects affect multiple stakeholders and several societal functions, participatory project development is of key importance to successfully implement these projects. In such a multiactor decision-making process, a diversity of actors are involved, all of whom have their own view of the project based on their interests, values, beliefs, backgrounds, and past experiences. As a consequence, BwN projects are susceptible to being hampered by the presence of ambiguity, a kind of uncertainty that results from the simultaneous presence of multiple frames. For two BwN case study projects, we identified where the ambiguities potentially affecting project development resided, derived the different actor frames, and addressed the attributes underlying these frames. Our main finding was that ambiguity in BwN projects seems to originate from a contradiction between the beliefs held by different actors. Furthermore, our results suggest that in the current practice of BwN projects the scientific knowledge of experts is perceived as more legitimate than the local knowledge and experiences of lay actors, which implies that experts have a more powerful position in multiactor decision making. Thus, our research underlines the difficulty of bringing local knowledge and past experiences of lay actors into collective decision makin

Acute Ethanol Administration Rapidly Increases Phosphorylation of Conventional Protein Kinase C in Specific Mammalian Brain Regions in Vivo

Background Protein kinase C (PKC) is a family of isoenzymes that regulate a variety of functions in the central nervous system including neurotransmitter release, ion channel activity, and cell differentiation. Growing evidence suggests that specific isoforms of PKC influence a variety of behavioral, biochemical, and physiological effects of ethanol in mammals. The purpose of this study was to determine whether acute ethanol exposure alters phosphorylation of conventional PKC isoforms at a threonine 674 (p-cPKC) site in the hydrophobic domain of the kinase, which is required for its catalytic activity. Methods Male rats were administered a dose range of ethanol (0, 0.5, 1, or 2 g/kg, intragastric) and brain tissue was removed 10 minutes later for evaluation of changes in p-cPKC expression using immunohistochemistry and Western blot methods. Results Immunohistochemical data show that the highest dose of ethanol (2 g/kg) rapidly increases p-cPKC immunoreactivity specifically in the nucleus accumbens (core and shell), lateral septum, and hippocampus (CA3 and dentate gyrus). Western blot analysis further showed that ethanol (2 g/kg) increased p-cPKC expression in the P2 membrane fraction of tissue from the nucleus accumbens and hippocampus. Although p-cPKC was expressed in numerous other brain regions, including the caudate nucleus, amygdala, and cortex, no changes were observed in response to acute ethanol. Total PKC? immunoreactivity was surveyed throughout the brain and showed no change following acute ethanol injection

Distance Dependence in the Solar Neighborhood Age-Metallicity Relation

The age-metallicity relation for F and G dwarf stars in the solar neighborhood, based on the stellar metallicity data of Edvardsson et al. (1993), shows an apparent scatter that is larger than expected considering the uncertainties in metallicities and ages. A number of theoretical models have been put forward to explain the large scatter. However, we present evidence, based on Edvardsson et al. (1993) data, along with Hipparcos parallaxes and new age estimates, that the scatter in the age-metallicity relation depends on the distance to the stars in the sample, such that stars within 30 pc of the Sun show significantly less scatter in [Fe/H]. Stars of intermediate age from the Edvardsson et al. sample at distances 30-80 pc from the Sun are systematically more metal-poor than those more nearby. We also find that the slope of the apparent age-metallicity relation is different for stars within 30 pc than for those stars more distant. These results are most likely an artifact of selection biases in the Edvardsson et al. star sample. We conclude that the intrinsic dispersion in metallicity at fixed age is < 0.15 dex, consistent with the < 0.1 dex scatter for Galactic open star clusters and the interstellar medium.Comment: 15 pages, 5 figures, uses AASTex aaspp4 style; accepted for publication in the Astrophysical Journa

Integrating large-scale stationary and local mobile measurements to estimate hyperlocal long-term air pollution using transfer learning methods

Mobile air quality measurements are collected typically for several seconds per road segment and in specific timeslots (e.g., working hours). These short-term and on-road characteristics of mobile measurements become the ubiquitous shortcomings of applying land use regression (LUR) models to estimate long-term concentrations at residential addresses. This issue was previously found to be mitigated by transferring LUR models to the long-term residential domain using routine long-term measurements in the studied region as the transfer target (local scale). However, long-term measurements are generally sparse in individual cities. For this scenario, we propose an alternative by taking long-term measurements collected over a larger geographical area (global scale) as the transfer target and local mobile measurements as the source (Global2Local model). We empirically tested national, airshed countries (i.e., national plus neighboring countries) and Europe as the global scale in developing Global2Local models to map nitrogen dioxide (NO(2)) concentrations in Amsterdam. The airshed countries scale provided the lowest absolute errors, and the Europe-wide scale had the highest R(2). Compared to a "global" LUR model (trained exclusively with European-wide long-term measurements), and a local mobile LUR model (using mobile data from Amsterdam only), the Global2Local model significantly reduced the absolute error of the local mobile LUR model (root-mean-square error, 6.9 vs 12.6 mug/m(3)) and improved the percentage explained variances compared to the global model (R(2), 0.43 vs 0.28, assessed by independent long-term NO(2) measurements in Amsterdam, n = 90). The Global2Local method improves the generalizability of mobile measurements in mapping long-term residential concentrations with a fine spatial resolution, which is preferred in environmental epidemiological studies

Urban wastewater: A valuable resource for agriculture - A case study from Haroonabad, Pakistan

Waste waters / Irrigation water / Water reuse / Economic analysis / Soil properties / Households / Water availability / Water use / Water quality / Groundwater / Public health / Risks / Case studies

Effects of Maturity and Drying Method on the Nutritive Value of Tropical Grasses in Nicaragua

Tropical grasses are key components for both grazing and conserved forages in sustainable livestock systems (beef and dairy) in Central America. The objective of the study was to evaluate grasses used in Nicaragua and their nutritive value contribution as preserved forage during the dry season under different drying methods. Five tropical bunch grasses (Andropogon gayanus, Hyparrheniarufa, Urochloabrizantha, Megathyrsus maximus, and Cenchruspurpureus) were sampled across different farms in Nicaragua in 2014 and 2015 using three replications. Forage samples were collected at 2, 4, 6, and 8-wk maturity as well as season long samples. Samples drying methods included sun- and oven-dried. Sun-dried samples were air dried outdoors for five days while oven-driedused forced air at 55 oC. Samples were analyzed for nutritive value using wet chemistry protocols for crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF) and in vitro total digestibility (IVTD). Drying methods did not influence CP, ADF, NDF and IVTD concentrations. There were significant differences among grass species in CP levels (P= 0.0003), ADF (P= 0.0009), and IVTD (P= 0.0083). U.brizantha had the greatest CP concentration (79 g/kg) while C. purpureus had the lowest CP (44 g/kg). U. brizantha had the lowest ADF (340 g/kg) concentration. Species A. gayanus, H. rufa, and Megathyrsus maximus had similar NDF concentrations. In vitro total digestibility ranged from 680 to 750 g/kg with M. maximus having the lowest digestibility. Significant differences in forages nutritive value were observed among maturity stages for CP (P\u3c 0.0001), ADF (P= 0.0022), NDF (P= 0.0006), and IVTD (P= 0.0241), but U. brizantha maintained higher CP and IVTD concentrations compared other species, indicating that could be a more preferred species for off-season feeding

Planetary Nebulae as Probes of Stellar Evolution and Populations

Planetary Nebulae (PNe) have been used satisfactory to test the effects of stellar evolution on the Galactic chemical environment. Moreover, a link exists between nebular morphology and stellar populations and evolution. We present the latest results on Galactic PN morphology, and an extension to a distance unbiased and homogeneous sample of Large Magellanic Cloud PNe. We show that PNe and their morphology may be successfully used as probes of stellar evolution and populations.Comment: to appear in: Chemical Evolution of the Milky Way: stars versus clusters, ed. F. Giovannelli and F. Matteucci, Kluwer (2000), in pres