Search results for "TLE"
showing 10 items of 2417 documents
Migration and mobility in a rapidly changing small town in northeastern Ethiopia
2012
This paper presents empirical material collected in the zonal capital town of kemise (population around 34,000) and three surrounding rural areas (peasant associations) in northeastern ethiopia. The study area is located in the oromiya zone of the large amhara region. The paper attempts to show how rural areas and the town of kemise are economically interdependent and demonstrates the role of migration and mobility in influencing and shaping the rural and urban economies. The town fulfils, inter alia, important administrative, marketing, service and retailing functions. The most successful rural households appear to be those that use non-farm and off-farm opportunities and assets (for exam…
Uncertainty and cross-border banking flows
2019
Abstract While global uncertainty—measured by the VIX—has proven to be a robust global “push” factor of international capital flows, there has been no systematic study assessing the role of uncertainty in driving bilateral capital flows. This paper examines the effects of higher country-specific uncertainty on cross-border banking flows using data from the Bank for International Settlements Locational Banking Statistics. The bilateral structure of this data allows disentangling supply factors from demand factors, thereby helping identify the effect of higher uncertainty on cross-border banking flows from other confounding factors. The results of this analysis suggest that: (i) uncertainty i…
Knowing is half the battle: Seasonal forecasts, adaptive cropping systems, and the mediating role of private markets in Zambia
2019
Abstract This paper examines how smallholders living in regions where a drought is forecasted adapt their farm practices in response to receiving seasonal forecast information. The article draws on a unique longitudinal dataset in Zambia, which collected information from farm households before and after a significant drought caused by the 2015/2016 El-Nino Southern Oscillation. It finds that farmers residing in areas forecasted to be drought-affected and receiving seasonal forecast information are significantly more likely to integrate drought tolerant crops into their cropping systems compared to similar households not receiving this information. Moreover, the probability that a farmer imp…
The effect of round-off error on long memory processes
2011
We study how the round-off (or discretization) error changes the statistical properties of a Gaussian long memory process. We show that the autocovariance and the spectral density of the discretized process are asymptotically rescaled by a factor smaller than one, and we compute exactly this scaling factor. Consequently, we find that the discretized process is also long memory with the same Hurst exponent as the original process. We consider the properties of two estimators of the Hurst exponent, namely the local Whittle (LW) estimator and the Detrended Fluctuation Analysis (DFA). By using analytical considerations and numerical simulations we show that, in presence of round-off error, both…
Mediating International Conflicts: The European Union as an Effective Peacemaker?
2015
This article examines how the EU's effectiveness as a mediator in peace negotiations can be appropriately conceptualized and analysed. Mediator effectiveness is analysed along two dimensions: goal-attainment and conflict settlement. Investigation of the conditions of mediator effectiveness is structured around four key sets of variables: mediator leverage, mediation strategy, coherence and the conflict's context. In our empirical analysis of EU mediation between Serbia and Kosovo (Belgrade–Pristina dialogue) we find that the medium degree of EU effectiveness (both in terms of goal-attainment and conflict settlement) can be explained by its great leverage vis-a-vis the conflict parties due t…
Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures
2021
Hand gestures based sign language digits have several contactless applications. Applications include communication for impaired people, such as elderly and disabled people, health-care applications, automotive user interfaces, and security and surveillance. This work presents the design and implementation of a complete end-to-end deep learning based edge computing system that can verify a user contactlessly using &lsquo
Nanoelectrospray with ion-trap mass spectrometry for the determination of beta-casomorphins in derived milk products.
2009
Beta-casomorphins (b-CMs) are bioactive peptides derived from casein with opioid agonist effects similar to morphine. The use of electrospray (ESI) with quadrupole ion-trap mass spectrometry (QIT-MS) for these compounds in two matrices, cheese and milk, was examined. It was compared to a liquid chromatography (LC) coupled to mass spectrometry (LC-MS), and a "soft" ionisation technique, NanoMate, with selected ion monitoring (SIM), which are unreliable for the determination of trace casomorphins in derived milk products. b-CM mass fragmentation pathways were done for the four most common b-CMs: beta-casomorphin (1-5) bovine (b-CM-5), beta-casomorphin (1-7) bovine (b-CM-7), [D-Ala2, D-Pro4,Ty…
Analysis of meat samples for anabolic steroids residues by liquid chromatography/tandem mass spectrometry.
2007
A rapid, specific and highly sensitive multi-residue method for the determination of anabolic steroid residues in bovine, pork and poultry muscle tissues was developed. The sample preparation involves enzymatic digestion followed by extraction with methanol. The crude extract was cleaned up by solid-phase extraction (SPE) combining C18 and NH2 columns. The detection was carried out by a highly sensitive liquid chromatography/electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) method using both positive and negative ionization modes. Natural and synthetic steroids covering different polarities could be extracted, concentrated and purified using one single method. Mobile phase com…
An Embedded Fingerprints Classification System based on Weightless Neural Networks
2009
Automatic fingerprint classification provides an important indexing scheme to facilitate efficient matching in large-scale fingerprint databases in Automatic Fingerprint Identification Systems (AFISs). The paper presents a new fast fingerprint classification module implementing on embedded Weightless Neural Network (RAM-based neural network). The proposed WNN architecture uses directional maps to classify fingerprint images in the five NIST classes (Left Loop, Right Loop, Whorl, Arch and Tented Arch) without anyone enhancement phase. Starting from the directional map, the WNN architecture computes the fingerprint classification rate. The proposed architecture is implemented on Celoxica RC20…
Finite elements augmented with embedded interphases for application in quasi-brittle materials
2022
Quasi-brittle materials mainly fail under shear or tensile stress state. When the stress limit is reached, fractures propagate and the stress-strain relation exhibits a softening branch until failure. In the framework of finite elements, discrete crack models and continuous smeared crack models have been implemented to best capture material’s response. In this ambit, we propose a strategy based on the Augmented Finite Element Method (A-FEM, [1]), which can be placed among the discrete crack models, since intra-element weak discontinuity is considered and modelled through a zero-thickness interphase model (IPH, [2, 3]). The original element is in practice divided in two elastic sub-elements …