BITs also create private obligations owed by States to individuals within their territories. Thus, BITs straddle the divide between public and private law. The tension between the public and private obligations embodied in BITs means that any conflict between a host-State's BIT obligations and its other international law obligations cannot simply be resolved by declaring public international law triumphant. Rather, a fine balancing must occur between the rights of the investor and that of the host-State and international community at large.
A second objective of this thesis is to evaluate the saliency of interest-based and power-based International Relations (IR) theories in explaining the emergence of international regimes and systems of cooperation between states. This thesis finds that these theories underemphasize the importance of identity, interest and preference construction in processes of regime formation and interstate cooperation. It finds, furthermore, that conventional IR theories' understanding of the concept of power misconstrues the role of developed nations in influencing the policy choices of developing states such Ecuador.
A second objective of this thesis is to evaluate the saliency of interest-based and power-based International Relations (IR) theories in explaining the emergence of international regimes and systems of cooperation between states.
Basic fibroblast growth factor (FGF-2) is atrophic molecule involved in a number of functions within the central nervous system (CNS), including a prominent role in the regulation of CNS responses to injury. Prior studies suggest that rats recover differently from injury inflicted to different regions and at different ages throughout development, and that FGF-2 might underlie this phenomenon. This thesis examined whether the functional and structural outcome following bilateral injury to the motor cortex inflicted at postnatal day (P10) could be ameliorated by exogenous administration of a growth factor (FGF-2). Four complimentary studies were conducted that each assessed the role of FGF-2 in mediating recovery from bilateral motor cortex injury inflicted at P10. We found that FGF-2 improves physiological, anatomical, and functional outcome from bilateral lesions to motor cortex at P10.
Basic fibroblast growth factor (FGF-2) is atrophic molecule involved in a number of functions within the central nervous system (CNS), including a prominent role in the regulation of CNS responses to injury.
The vertical translate study found that the response of misalignment to vertical translation (+/-0.7 g) changed after the pitch plasticity study, confirming otolith-organ-dependent adaptation and excluding SCC or neck proprioceptors dependence.
The vertical translate study found that the response of misalignment to vertical translation (+/-0.7 g) changed after the pitch plasticity study, confirming otolith-organ-dependent adaptation and excluding SCC or neck proprioceptors ...
Information-processing strategies had more predictive power than local news media and motivation measures in people's perceptions of associational membership, interpersonal trust, and reciprocity, suggesting the cognitive mediation model is influential in examining how people learn from local news media about social norms.
Information-processing strategies had more predictive power than local news media and motivation measures in people's perceptions of associational membership, interpersonal trust, and reciprocity, suggesting the cognitive mediation model is ...
This inquiry examines teacher identity in relation to such terms as "neutrality," "objectivity," and "indoctrination." The congruent relationship between teacher identity and American national identity is highlighted to expose the powerful common-sense assumptions that accept neutrality and objectivity as a preferred mode. In addition, the American teacher's relationship to and fear of the term "indoctrination" is explored and challenged. The historical movement for social reconstruction and the current movement for social justice, along with the Cuban and Russian Revolutions, are explained in depth to highlight specific instances when teacher neutrality was questioned and in some cases abandoned to achieve political and moral ends.
In this dissertation, we present machine learning approaches that address these challenges by explicitly modeling an intermediate process between the genotype and phenotype. More specifically, we model the genetic regulatory mechanisms that are induced by sequence variations and that lead to the phenotype, and we learn the model from genome-wide mRNA expression measurements. Using the learned model, we aim to generate a finer-grained hypothesis such as: a sequence variation S induces regulatory interactions R, which lead to changes in the phenotype P.
Chapter 3 Learning the Linear Regulation Network of Modules Data measuring
the expression variation across a population of genetically diverse individuals
provide valuable insight into the regulatory mechanisms underlying complex ...
In this dissertation, channel estimation and equalization for doubly-selective channels are considered in Chapter 2 (under single input single output models) and Chapter 3 (under multiple input multiple output models), where the time-varying channel is assumed to be well described by basis expansion models (BEM). Our focus is on time-multiplexed training for channel estimation where the training symbols are periodically inserted and use all transmitted power during their transmission.
MIMO methods employ multiple transmitter and receiver antennas to increase the data rate and to achieve spatial diversity. Traditionally, multiple antennas have
been used on the receiver side to combat the multipath fading. The receive ...
In this chapter the biological notion of developmental stages is used to motivate a
new representation of functional data, similar to classical shape statistics. The
new data representation transforms conventional non-linear variation into easily
...
It is a well known fact that the Fibonacci sequence grows exponentially at a rate given by the golden ratio, &phis; = 1.61803398... We can generate a "random Fibonacci sequence" by starting with the terms 1, 1 but instead of forming new terms by adding the previous two, we can either add or subtract them with probability ½. This process can be represented as a linear matrix recurrence. An infinite number of random Fibonacci sequences can occur, and it has been shown by Divakar Viswanath that with probability one, not only does the absolute value of terms in the sequence grow exponentially, but it does so at a fixed rate of 1.13198824. . ., Viswanath's constant. Among the tools used to reach this end are the theory of products of random matrices, measure theory, use of the Stern-Brocot tree and a computer assisted calculation.
