Invasion, Proliferation and Control of Invasive Aquatic Plants in Colorado State Parks

Nonnative aquatic species are invasive worldwide. These species adversely affect natural aquatic ecosystems in a variety of ways and can negatively affect agriculture, recreation and industry. This study addresses identification and control of aquatic plant species of concern in Colorado State Parks. Seventeen species identified as potential threats to the parks and safe, effective chemical control methodologies were determined for each species. A matrix was developed to include the plants, appropriate chemical controls and the type of aquatic habitat where chemical use would be safe and effective. The matrix and recommendations for its use will be provided to the Colorado Division of Parks and Outdoor Recreation to develop a management plan under Section 1204 of the National Invasive Species Act.

A multimodal genre recognition prototype

In this paper, a multimodal and interactive prototype to perform music genre classification is presented. The system is oriented to multi-part files in symbolic format but it can be adapted using a transcription system to transform audio content in music scores. This prototype uses different sources of information to give a possible answer to the user. It has been developed to allow a human expert to interact with the system to improve its results. In its current implementation, it offers a limited range of interaction and multimodality. Further development aimed at full interactivity and multimodal interactions is discussed.

Improving kNN multi-label classification in Prototype Selection scenarios using class proposals

Prototype Selection (PS) algorithms allow a faster Nearest Neighbor classification by keeping only the most profitable prototypes of the training set. In turn, these schemes typically lower the performance accuracy. In this work a new strategy for multi-label classifications tasks is proposed to solve this accuracy drop without the need of using all the training set. For that, given a new instance, the PS algorithm is used as a fast recommender system which retrieves the most likely classes. Then, the actual classification is performed only considering the prototypes from the initial training set belonging to the suggested classes. Results show that this strategy provides a large set of trade-off solutions which fills the gap between PS-based classification efficiency and conventional kNN accuracy. Furthermore, this scheme is not only able to, at best, reach the performance of conventional kNN with barely a third of distances computed, but it does also outperform the latter in noisy scenarios, proving to be a much more robust approach.

On the suitability of Prototype Selection methods for kNN classification with distributed data

In the current Information Age, data production and processing demands are ever increasing. This has motivated the appearance of large-scale distributed information. This phenomenon also applies to Pattern Recognition so that classic and common algorithms, such as the k-Nearest Neighbour, are unable to be used. To improve the efficiency of this classifier, Prototype Selection (PS) strategies can be used. Nevertheless, current PS algorithms were not designed to deal with distributed data, and their performance is therefore unknown under these conditions. This work is devoted to carrying out an experimental study on a simulated framework in which PS strategies can be compared under classical conditions as well as those expected in distributed scenarios. Our results report a general behaviour that is degraded as conditions approach to more realistic scenarios. However, our experiments also show that some methods are able to achieve a fairly similar performance to that of the non-distributed scenario. Thus, although there is a clear need for developing specific PS methodologies and algorithms for tackling these situations, those that reported a higher robustness against such conditions may be good candidates from which to start.

Toward international peace and security: Addressing the challenge of nuclear proliferation in a globalized world. ACES Working Papers, August 2010

With a growing number of threats to governance in the international system that result from globalization and technological innovation, it is no surprise that states have come to rely more heavily on each other and the global community for support. While the EU is partially constrained by the ultimate outcome of its own integration process, limited knowledge on this issue, and the national interests of its Member States, other governments are also experiencing difficulty in domestic implementation of international resolutions. To better understand the impact of the most recent sanctioning efforts, this paper will explore the development of the non-proliferation regime, examine implementation mechanisms of non-proliferation agreements, and analyze the impact of increased cooperation among states to thwart the spread of WMD technology and material. Case studies of unilateral measures undertaken by the US and EU against Iran will provide insight into the political and economic implications of economic sanctions from individual governments. New and emerging methods for limiting rogue states and non-state actors from acquiring the means to develop WMD will also be discussed in an effort to further discussion for future policy debates on this critical topic.

Regulatory T Cells Accumulate in the Lung Allergic Inflammation and Efficiently Suppress T-Cell Proliferation but Not Th2 Cytokine Production

Foxp3(+)CD25(+)CD4(+) regulatory T cells are vital for peripheral tolerance and control of tissue inflammation. In this study, we characterized the phenotype and monitored the migration and activity of regulatory T cells present in the airways of allergic or tolerant mice after allergen challenge. To induce lung allergic inflammation, mice were sensitized twice with ovalbumin/aluminum hydroxide gel and challenged twice with intranasal ovalbumin. Tolerance was induced by oral administration of ovalbumin for 5 consecutive days prior to OVA sensitization and challenge. We detected regulatory T cells (Foxp3(+)CD25(+)CD4(+) T cells) in the airways of allergic and tolerant mice; however, the number of regulatory T cells was more than 40-fold higher in allergic mice than in tolerant mice. Lung regulatory T cells expressed an effector/memory phenotype (CCR4(high)CD62L(low)CD44(high)CD54(high)CD69(+)) that distinguished them from naive regulatory T cells (CCR4(int)CD62L(high)CD44(int)CD54(int)CD69(-)). These regulatory T cells efficiently suppressed pulmonary T-cell proliferation but not Th2 cytokine production.

The development and evaluation of a prototype grade severity rating system. Final report.

Federal Highway Administration, Washington, D.C.

Nuclear reactor options to reduce the risk of proliferation and to succeed current light water reactor technology : report to the Congress /

"B-164105."