240 research outputs found
Technical Barriers to Trade in the European Union: Importance for the Accession Countries. CEPS Working Document No. 144, April 2000
With trade in industrial products between the EU and the CEECs now essentially free of tariff and non-tariff restrictions, the principal impact of accession to the EU on trade flows will be through access to the Single Market of the EU. A key element of this will be the removal of technical barriers to trade. In this paper we try and highlight the importance of technical barriers to trade between the EU and the various CEECs, distinguishing sectors according to the different approaches to the removal of these barriers in the EU: mutual recognition, detailed harmonisation (old approach) and minimum requirements (new approach). We utilise two sources of information on technical regulations: a sectoral classification from a previous study of the impact of the Single Market and our own detailed translation of EU product related directives into the relevant tariff codes. The analysis suggests that the importance of technical barriers varies considerably across the CEECs. The adjustment implications of access to the Single Market are likely to be greatest for those most advanced in their accession negotiations
Intrinsic resistivity and the SO(5) theory of high-temperature superconductors
The topological structure of the order parameter in Zhang's SO(5) theory of
superconductivity allows for an unusual type of dissipation mechanism via which
current-carrying states can decay. The resistivity due to this mechanism, which
involves orientation rather than amplitude order-parameter fluctuations, is
calculated for the case of a thin superconducting wire. The approach is a
suitably modified version of that pioneered by Langer and Ambegaokar for
conventional superconductors.Comment: 4 pages, including 1 figure (REVTEX); references added, minor
corrections mad
Andreev interferometry as a probe of superconducting phase correlations in the pseudogap regime of the cuprates
Andreev interferometry - the sensitivity of the tunneling current to spatial
variations in the local superconducting order at an interface - is proposed as
a probe of the spatial structure of the phase correlations in the pseudogap
state of the cuprate superconductors. To demonstrate this idea theoretically, a
simple tunneling model is considered, via which the tunneling current is
related to the equilibrium phase-phase correlator in the pseudogap state. These
considerations suggest that measurement of the low-voltage conductance through
mesoscopic contacts of varying areas provides a scheme for accessing
phase-phase correlation information. For illustrative purposes, quantitative
predictions are made for a model of the pseudogap state in which the phase (but
not the amplitude) of the superconducting order varies randomly, and does so
with correlations consistent with certain proposed pictures of the pseudogap
state.Comment: 9 pages, 5 figures; 3 references adde
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Design Considerations for Engineered Myocardium
The fabrication of biomimetic heart muscle suitable for pharmaceutical compound evaluation and disease modeling is hindered by limitations in our understanding of how to guide and assess the maturity of engineered myocardium in vitro. We hypothesized that tissue architecture serves as an important cue for directing the maturation of engineered heart tissues and that reliable assessment of maturity could be performed using a multi-parametric rubric utilizing cardiomyocytes of known developmental state as a basis for comparison. Physical micro-environmental cues are recognized to play a fundamental role in normal heart development, therefore we used micro-patterned extracellular matrix to direct isolated cardiac myocytes to self-assemble into anisotropic sheets reminiscent of the architecture observed in the laminar musculature of the heart. Comparison of global sarcomere alignment, gene expression, and contractile stress in engineered anisotropic myocardium to isotropic monolayers, as well as, adult ventricular tissue revealed that anisotropic engineered myocardium more closely matched the characteristics of adult ventricular tissue, than isotropic cultures of randomly organized cardiomyocytes. These findings support the notion that tissue architecture is an important cue for building mature engineered myocardium. Next, we sought to develop a quality assessment strategy that utilizes a core set of 64 experimental measurements representative of 4 major categories (i.e. gene expression, myofibril structure, electrical activity, and contractility) to provide a numeric score of how closely stem cell-derived cardiac myocytes match the physiological characteristics of mature, post-natal cardiomyocytes. The efficacy of this rubric was assessed by comparing anisotropic engineered tissues fabricated from commercially-available murine ES- (mES) and iPS- (miPS) derived myocytes against neonatal mouse ventricular myocytes. The quality index scores calculated for these cells revealed that the miPS-derived myocytes more closely resembled the neonate ventricular myocytes than the mES-derived myocytes. Taken together, the results of these studies provide valuable insight into the fabrication and validation of engineered myocardium that faithfully recapitulate the characteristics of mature ventricular myocardium found in vivo. These engineered tissue design and quality validation strategies may prove useful in developing heart muscle analogs from human stem cell-derived myocytes that more accurately predict patient response than currently used animal models.Engineering and Applied Science
Nutrient management planning on Irish dairy farms
End of Project ReportThe objective of the work undertaken was to investigate nutrient use
on intensive dairy farms. A survey of 12 dairy farms was undertaken
in 1997 to determine nutrient management practices. These were
compared with current nutrient advice and recommended practices.
Data recording was completed by the farmer and supplemented by regular
farm visits to assist with and validate the process.
The mean farm size was 64.8 ha with an average of 128 cows and an
annual milk yield per cow of 5594 kg. The mean stocking rate was
2.58 Livestock Units/ha. Dairy cows accounted for highest proportion
of the total livestock with most of the younger stock consisting of dairy
replacements.
Approximately 80% of soil P levels were greater than 6 mg/l while 67%
of soils had soil K levels in excess of 100 mg/l. The mean soil P and K
levels on the grazing and silage areas were 11 and 128 mg/l, 12 and
117 mg/l, respectively.
The mean farm nutrient balance (inputs - outputs) established an
annual surplus of N, P and K of 304, 18 and 53 kg/ha, respectively.
The adoption of nutrient management plans instead of current practice
would reduce N, P and K inputs on average by 44, 13 and 24
kg/ha, respectively. The use of the Teagasc revised P nutrient advice
would further reduce the P input requirements by 2 kg/ha. On average
the farms had 90% of the 16 week slurry storage capacity.
Approximately 14, 42, 14 and 31% of the slurry was applied in spring,
summer, autumn and winter, respectively. In all cases there was significant
between farm variability.
The soil P fertility on the survey farms is skewed towards index 3 and
4 when compared with the average for all samples received at Johnstown
Castle. There is no agronomic advantage in terms of crop or animal
production for soils to have P levels in excess 10 mg/l. This result
indicates that P inputs to farms of this type can be reduced in many
cases without prejudicing production potential. The nutrient balance
conducted highlighted the extent of the nutrient surpluses and the between farm variability. The data suggest that there is not a serious
nutrient surplus on the survey farms, which would require the use of
additional off-farm land for slurry recycling, as obtains on pig and
poultry farms. The study also indicates that although farm unit cost
savings may be small in adopting nutrient management planning, overall
farm savings may be significant. For example on the survey farms,
savings of up to £2,000 can be achieved apart from the obvious positive
environmental impact
Live Robot Sensor View
The Valparaiso University Robotics Team\u27s Robotic Football group has requested an application to process and display real-time sensor data during gameplay. Data of interest to both the build and drive teams includes the robot\u27s uptime, current speed, motor power, control stick orientation, and battery life. This information will be sent to a Raspberry Pi single-board system by Arduino chips on each robot via MQTT and processed and presented by the application being built. To achieve this, the tool will be built on the Django web server framework, using Python. Challenges involve working with multiple stakeholders, multiple networked objects sending data simultaneously, and rapidly-evolving technical considerations
Live Robot Sensor View
The Valparaiso University Robotics Team\u27s Robotic Football group has requested an application to process and display real-time sensor data during gameplay. Data of interest to both the build and drive teams includes the robot\u27s uptime, current speed, motor power, control stick orientation, and battery life. This information will be sent to a Raspberry Pi single-board system by Arduino chips on each robot via MQTT and processed and presented by the application being built. To achieve this, the tool will be built on the Django web server framework, using Python. Challenges involve working with multiple stakeholders, multiple networked objects sending data simultaneously, and rapidly-evolving technical considerations
Density of states in d-wave superconductors disordered by extended impurities
The low-energy quasiparticle states of a disordered d-wave superconductor are
investigated theoretically. A class of such states, formed via tunneling
between the Andreev bound states that are localized around extended impurities
(and result from scattering between pair-potential lobes that differ in sign)
is identified. Its (divergent) contribution to the total density of states is
determined by taking advantage of connections with certain one-dimensional
random tight-binding models. The states under discussion should be
distinguished from those associated with nodes in the pair potential.Comment: 5 pages, 1 figur
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