Project 150: High School’s Tough Enough

Project 150 addresses the issue of youth homelessness in the Clark County School District. Project 150 currently serves more than 6,000 disadvantaged high school students at 58 schools in Southern Nevada.https://digitalscholarship.unlv.edu/educ_sys_202/1090/thumbnail.jp

The accession negotiatiations on agriculture between Poland and the EU as an example of two - level game model

Only abstract. Paper copies of master’s theses are listed in the Helka database (http://www.helsinki.fi/helka). Electronic copies of master’s theses are either available as open access or only on thesis terminals in the Helsinki University Library.Vain tiivistelmä. Sidottujen gradujen saatavuuden voit tarkistaa Helka-tietokannasta (http://www.helsinki.fi/helka). Digitaaliset gradut voivat olla luettavissa avoimesti verkossa tai rajoitetusti kirjaston opinnäytekioskeilla.Endast sammandrag. Inbundna avhandlingar kan sökas i Helka-databasen (http://www.helsinki.fi/helka). Elektroniska kopior av avhandlingar finns antingen öppet på nätet eller endast tillgängliga i bibliotekets avhandlingsterminaler.The aim of this thesis is to describe and understand international bargaining process between Poland and the European Union (EU) over the issue of direct payments, which is one of mechanisms of the EU’s Common Agricultural Policy (CAP). The research had been conducted within the two-level game model according to which the negotiatior has to addrres the two imperatives at the same time, domestic and international. The methodological principle of research on international negotiations is to multiply the number of observations within the analyzed case what allow for the reliable scientific testing. Methodologically, level games seem to solve the level – of analysis problem by taking into account both domestic and international variables to explain outcomes. Nevertheless within the model were applied the factors of comparative analysis and discourse analysis. The results obtained: 1. Two-level game becames difficult when applied to the EU because of its structural complexity. The EU does not speak with the one voice while conducting accession negotiations. 2. The internal division of domestic faction can be both creative and destructive. 3. The state can gain strenght out of weakness by picturing to the opposing side the growing costs of domestic 'no-agreement'. 4. The role of the Commisssion during the accession negotiations was recognized as passive. 5. The most profound negotiation tools are: linkage issue, side-payments,package deals and tradeoffs. The most significant startegies: 'tight hands', 'take it or leave it', yielding, contending and problem-solving. The tools stated above had the biggest impact on the course of negotiations

Goal Translation for a Hammer for Coq (Extended Abstract)

Hammers are tools that provide general purpose automation for formal proof assistants. Despite the gaining popularity of the more advanced versions of type theory, there are no hammers for such systems. We present an extension of the various hammer components to type theory: (i) a translation of a significant part of the Coq logic into the format of automated proof systems; (ii) a proof reconstruction mechanism based on a Ben-Yelles-type algorithm combined with limited rewriting, congruence closure and a first-order generalization of the left rules of Dyckhoff's system LJT.Comment: In Proceedings HaTT 2016, arXiv:1606.0542

Data-Driven Segmentation of Post-mortem Iris Images

This paper presents a method for segmenting iris images obtained from the deceased subjects, by training a deep convolutional neural network (DCNN) designed for the purpose of semantic segmentation. Post-mortem iris recognition has recently emerged as an alternative, or additional, method useful in forensic analysis. At the same time it poses many new challenges from the technological standpoint, one of them being the image segmentation stage, which has proven difficult to be reliably executed by conventional iris recognition methods. Our approach is based on the SegNet architecture, fine-tuned with 1,300 manually segmented post-mortem iris images taken from the Warsaw-BioBase-Post-Mortem-Iris v1.0 database. The experiments presented in this paper show that this data-driven solution is able to learn specific deformations present in post-mortem samples, which are missing from alive irises, and offers a considerable improvement over the state-of-the-art, conventional segmentation algorithm (OSIRIS): the Intersection over Union (IoU) metric was improved from 73.6% (for OSIRIS) to 83% (for DCNN-based presented in this paper) averaged over subject-disjoint, multiple splits of the data into train and test subsets. This paper offers the first known to us method of automatic processing of post-mortem iris images. We offer source codes with the trained DCNN that perform end-to-end segmentation of post-mortem iris images, as described in this paper. Also, we offer binary masks corresponding to manual segmentation of samples from Warsaw-BioBase-Post-Mortem-Iris v1.0 database to facilitate development of alternative methods for post-mortem iris segmentation