The Regulatory Framework of Export Restrictions in WTO Law and Regional Free Trade Agreements. IES WORKING PAPER 8/2013

The use of export restrictions has become more and more common in recent years, evidencing the substantial loopholes existing in the WTO regulation on the matter. As a result of this deficient legal framework, the WTO membership experiences important losses of welfare and increasing political tensions. The multilateral negotiations for an updated discipline on export restrictions, in the context of the Doha Development Round, are blocked. Consequently, members have established a set of preferential bilateral and multilateral agreements to relieve the negative effects of these measures. Likewise, some recent WTO members have committed to stricter regulations as part of their Accession Protocols. Nevertheless, these methods have evidenced some important flaws, and the multilateral scene remains the optimum forum to address export restrictions. This Working Paper proposes a number of measures to improve the legal framework of the quantitative export restrictions and export duties, as well as their notification procedures.

Analysis of developments in EU capital flows in the global context. Bruegel Final study Bruegel N° 2015.2574, November 2015

Free movement of capital, which is one of the four fundamental economic freedoms of the European Union, can enhance welfare if it leads to better allocation of financial and productive resources. However, it can also be a source of vulnerability, with far-reaching spillovers. Monitoring and assessing capital flows is therefore crucial for policymakers, market participants and analysts.

Implications of seasonal climate forecasts on world wheat trade: a stochastic, dynamic analysis

Improvements in seasonal climate forecasts have potential economic implications for international agriculture. A stochastic, dynamic simulation model of the international wheat economy is developed to estimate the potential effects of seasonal climate forecasts for various countries' wheat production, exports and world trade. Previous studies have generally ignored the stochastic and dynamic aspects of the effects associated with the use of climate forecasts. This study shows the importance of these aspects. In particular with free trade, the use of seasonal forecasts results in increased producer surplus across all exporting countries. In fact, producers appear to capture a large share of the economic surplus created by using the forecasts. Further, the stochastic dimensions suggest that while the expected long-run benefits of seasonal forecasts are positive, considerable year-to-year variation in the distribution of benefits between producers and consumers should be expected. The possibility exists for an economic measure to increase or decrease over a 20-year horizon, depending on the particular sequence of years.

The role of context in producing item interactions and false memories

Cued recall with an extralist cue poses a challenge for contemporary memory theory in that there is a need to explain how episodic and semantic information are combined. A parallel activation and intersection approach proposes one such means by assuming that an experimental cue will elicit its preexisting semantic network and a context cue will elicit a list memory. These 2 sources of information are then combined by focusing on information that is common to the 2 sources. Two key predictions of that approach are examined: (a) Combining semantic and episodic information can lead to item interactions and false memories, and (b) these effects are limited to memory tasks that involve an episodic context cue. Five experiments demonstrate such item interactions and false memories in cued recall but not in free association. Links are drawn between the use of context in this setting and in other settings.

Engineering of needle-free physical methods to target epidermal cells for DNA vaccination

A challenge in epidermal DNA vaccination is the efficient and targeted delivery of polynucleotides to immunologically sensitive Langerhans cells. This paper investigates this particular challenge for physical delivery approaches. The skin immunology and material properties are examined in the context of the physical cell targeting requirements of the viable epidermis. Selected current physical cell targeting technologies engineered to meet these needs are examined: needle and syringe; diffusion patches; liquid jet injectors; microneedle arrays/patches; and biolistic particle injection. The operating methods and relative performance of these approaches are discussed, with a comment on potential future developments and technologies. (c) 2005 Elsevier Ltd. All rights reserved.

Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals

We introduce a novel inversion-based neuro-controller for solving control problems involving uncertain nonlinear systems that could also compensate for multi-valued systems. The approach uses recent developments in neural networks, especially in the context of modelling statistical distributions, which are applied to forward and inverse plant models. Provided that certain conditions are met, an estimate of the intrinsic uncertainty for the outputs of neural networks can be obtained using the statistical properties of networks. More generally, multicomponent distributions can be modelled by the mixture density network. In this work a novel robust inverse control approach is obtained based on importance sampling from these distributions. This importance sampling provides a structured and principled approach to constrain the complexity of the search space for the ideal control law. The performance of the new algorithm is illustrated through simulations with example systems.

A design environment for deadlock-free concurrent software

Using current software engineering technology, the robustness required for safety critical software is not assurable. However, different approaches are possible which can help to assure software robustness to some extent. For achieving high reliability software, methods should be adopted which avoid introducing faults (fault avoidance); then testing should be carried out to identify any faults which persist (error removal). Finally, techniques should be used which allow any undetected faults to be tolerated (fault tolerance). The verification of correctness in system design specification and performance analysis of the model, are the basic issues in concurrent systems. In this context, modeling distributed concurrent software is one of the most important activities in the software life cycle, and communication analysis is a primary consideration to achieve reliability and safety. By and large fault avoidance requires human analysis which is error prone; by reducing human involvement in the tedious aspect of modelling and analysis of the software it is hoped that fewer faults will persist into its implementation in the real-time environment. The Occam language supports concurrent programming and is a language where interprocess interaction takes place by communications. This may lead to deadlock due to communication failure. Proper systematic methods must be adopted in the design of concurrent software for distributed computing systems if the communication structure is to be free of pathologies, such as deadlock. The objective of this thesis is to provide a design environment which ensures that processes are free from deadlock. A software tool was designed and used to facilitate the production of fault-tolerant software for distributed concurrent systems. Where Occam is used as a design language then state space methods, such as Petri-nets, can be used in analysis and simulation to determine the dynamic behaviour of the software, and to identify structures which may be prone to deadlock so that they may be eliminated from the design before the program is ever run. This design software tool consists of two parts. One takes an input program and translates it into a mathematical model (Petri-net), which is used for modeling and analysis of the concurrent software. The second part is the Petri-net simulator that takes the translated program as its input and starts simulation to generate the reachability tree. The tree identifies `deadlock potential' which the user can explore further. Finally, the software tool has been applied to a number of Occam programs. Two examples were taken to show how the tool works in the early design phase for fault prevention before the program is ever run.

Exploiting uncertainty in nonlinear stochastic control problem

This work introduces a novel inversion-based neurocontroller for solving control problems involving uncertain nonlinear systems which could also compensate for multi-valued systems. The approach uses recent developments in neural networks, especially in the context of modelling statistical distributions, which are applied to forward and inverse plant models. Provided that certain conditions are met, an estimate of the intrinsic uncertainty for the outputs of neural networks can be obtained using the statistical properties of networks. More generally, multicomponent distributions can be modelled by the mixture density network. Based on importance sampling from these distributions a novel robust inverse control approach is obtained. This importance sampling provides a structured and principled approach to constrain the complexity of the search space for the ideal control law. The developed methodology circumvents the dynamic programming problem by using the predicted neural network uncertainty to localise the possible control solutions to consider. Convergence of the output error for the proposed control method is verified by using a Lyapunov function. Several simulation examples are provided to demonstrate the efficiency of the developed control method. The manner in which such a method is extended to nonlinear multi-variable systems with different delays between the input-output pairs is considered and demonstrated through simulation examples.

Changing treaty and changing economic context:the dynamic relationship of the legislature and the judiciary in the pursuit of capital liberalisation

Introduction For a significant period of time (the late 1950s--1980s), a lack of capital freedom was a major obstacle to the progress of the internal market project. The free movements of goods, persons and services were achieved, and developed, primarily through the case law of the Court of Justice of the European Union (CJEU). On the other hand, the Court played a (self-imposed) limited role in the development of the free movement of capital. It was through a progressive series of legislation that the freedom was finally achieved. John Usher has noted that the consequence of this is that ‘free movement of capital thus became the only Treaty “freedom” to be achieved in the manner envisaged in the Treaty’. For this reason, the relationship of the Court and legislature in this area is of particular importance in the broader context of the internal market. The rest of this chapter is split into four sections and will attempt to describe (and account for) the differing relationships between the legislature and the judiciary during the different stages of capital liberalisation. Section 2 will deal with the situation under the original Treaty of Rome. Section 3 will examine a single legislative intervention: Directive 88/361. It was this intervention that contained the obligation for Member States to fully liberalise capital movements. It is therefore the most important contribution to the completion of the internal market in the capital sphere. An examination will be made of whether the interpretation of the Directive demonstrates a changed (or changing attitude) of the Court towards the EU legislature. Section 4 will examine the changes brought about by the Treaty on European Union in 1993. It was at Maastricht that the Member States finally introduced into the Treaty framework an absolute obligation to liberalise capital movements. Finally, Section 5 will consider the Treaty of Lisbon and the possibility of future interventions by the legislature. By looking at the patterns that run through the different parts, this chapter will attempt to engage with the question of whether the approaches were products of their historical context, or whether they can be applied to other areas within the capital movement sphere.

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations

This work introduces a Gaussian variational mean-field approximation for inference in dynamical systems which can be modeled by ordinary stochastic differential equations. This new approach allows one to express the variational free energy as a functional of the marginal moments of the approximating Gaussian process. A restriction of the moment equations to piecewise polynomial functions, over time, dramatically reduces the complexity of approximate inference for stochastic differential equation models and makes it comparable to that of discrete time hidden Markov models. The algorithm is demonstrated on state and parameter estimation for nonlinear problems with up to 1000 dimensional state vectors and compares the results empirically with various well-known inference methodologies.

A Stochastic Approach for Finding of Semantically Related Words

2000 Mathematics Subject Classification: 62P99, 68T50

PDNAsite:identification of DNA-binding site from protein sequence by incorporating spatial and sequence context

Protein-DNA interactions are involved in many fundamental biological processes essential for cellular function. Most of the existing computational approaches employed only the sequence context of the target residue for its prediction. In the present study, for each target residue, we applied both the spatial context and the sequence context to construct the feature space. Subsequently, Latent Semantic Analysis (LSA) was applied to remove the redundancies in the feature space. Finally, a predictor (PDNAsite) was developed through the integration of the support vector machines (SVM) classifier and ensemble learning. Results on the PDNA-62 and the PDNA-224 datasets demonstrate that features extracted from spatial context provide more information than those from sequence context and the combination of them gives more performance gain. An analysis of the number of binding sites in the spatial context of the target site indicates that the interactions between binding sites next to each other are important for protein-DNA recognition and their binding ability. The comparison between our proposed PDNAsite method and the existing methods indicate that PDNAsite outperforms most of the existing methods and is a useful tool for DNA-binding site identification. A web-server of our predictor (http://hlt.hitsz.edu.cn:8080/PDNAsite/) is made available for free public accessible to the biological research community.

Instituting Tobacco-Free Employee Policies: An Invasion of Privacy or an Employer’s Legal Right?

Rising health care costs are causing some employers to assess and regulate the health behaviors of their employees. Different approaches and levels of non-smoking regulations are discussed, and the legal parameters and challenges of regulating employees’ private behaviors are explored.

Effect of Smoke-Free Ordinances on Restaurant and Bar Sales

Peer-reviewed studies that have examined the effect of the enactment of smoke-free ordinances on restaurant and bar sales have uniformly found that the enactment of these ordinances does not decrease restaurant or bar sales, with most studies observing no effect on restaurant revenues.

An Examination of the AP United States History Exam Free Response Section

Michael S. Henry examined the first 30 years of the AP United States History exam’s essay section. This study examined changes that have occurred over the last 20 years by classifying questions into one of six categories and found little change in the types of essays used during this timeframe.