Acute Stroke Multimodal Imaging: Present and Potential Applications toward Advancing Care.

In the past few decades, the field of acute ischemic stroke (AIS) has experienced significant advances in clinical practice. A core driver of this success has been the utilization of acute stroke imaging with an increasing focus on advanced methods including multimodal imaging. Such imaging techniques not only provide a richer understanding of AIS in vivo, but also, in doing so, provide better informed clinical assessments in management and treatment toward achieving best outcomes. As a result, advanced stroke imaging methods are now a mainstay of routine AIS practice that reflect best practice delivery of care. Furthermore, these imaging methods hold great potential to continue to advance the understanding of AIS and its care in the future. Copyright © 2017 by Thieme Medical Publishers, Inc

Academic Intervention Services

Academic Intervention Service (AIS) programs across New York state play a key role in the academic progress of students who have not met grade level standards in any number of core subjects. School districts have the freedom to develop and implement programs in order to meet the needs of their students. The author investigated goals and practices of AIS programs in urban and suburban schools to determine their effectiveness in preparing students for long term academic success. Data was obtained through electronic teacher surveys distributed to teachers currently teaching in grades six through twelve within Western New York. Teachers participating in the survey answered questions related to and commented on a range of topics related to their school\u27s AIS program and its effectiveness in helping students overcome their barriers to learning

Government involvement in high performance sport: An Australian national sporting organisation perspective

The purpose of this paper is to examine the relationship between the Australian Sports Commission (ASC) and Summer Olympic National Sporting Organisations (NSOs) to determine the effect the relationship has on Olympic performance outcomes. Five Olympic NSOs were examined: Athletics Australia, Cycling Australia, Rowing Australia, Swimming Australia and Yachting Australia. All five NSOs represent sports in which Australia has consistently achieved strong results at previous Olympic Games. These NSOs receive significant funding from the ASC and, as such, are expected to achieve success at the Olympic Games. The ASC–NSO relationship was examined through an agency theory framework whereby the ‘contracts’ between the ASC (principal) and the NSOs (agents) were investigated through a survey, interviews and document analysis to identify potential management issues that may affect Olympic performance outcomes, such as agent or principal opportunism. The findings identified a lack of a collaborative high performance sport system in Australia, with the findings emphasising concerns over the ASC’s management of NSO programmes. While the ASC staff identified their organisation as the leader of high performance sport in Australia, the study’s NSO participants did not believe that the ASC had the capacity, capability and knowledge to fulfil this role.No Full Tex

Ivy League Athletic Performance: Do Brains Win?

[Excerpt] The Ivy League, which consists of Brown, Columbia, Cornell, Dartmouth, Harvard, Pennsylvania, Princeton, and Yale universities, is unique among the athletic conferences that compete at the Division I (major university) level in the NCAA. The Ivy League prohibits athletic scholarships and all undergraduate financial aid is awarded only on the basis of financial need. The league rigorously monitors the academic qualifications of the athletes that its coaches recruit and requires that the academic ability of its recruited athletes be close to that of the student body as a whole. The league also sets tight limits on the number of days that teams can be away from campus during the academic year and participation in varsity sports is not permitted during exam periods. Finally, the number of varsity athletic teams fielded by each academic institution in the league is among the largest in the nation. At our own institution, for example, there were 36 different varsity teams (18 male, 18 female) during the 1998-99 academic year. In the absence of being able to compete for student-athletes with athletic scholarships, it is natural to ask what the factors are that determine the athletic success of the different teams in the league when they compete head-to-head with each other. We argue in this paper that in the main it is the same factors that determine the enrollment decisions of the majority of the students who attend these institutions, namely the perceived academic quality of each institution and the generosity of the financial aid packages that each institution provides to students with financial need. We also show that the schools in the league differ in the extent to which their athletes\u27 average academic qualifications differ from the average academic qualifications of the student body as a whole. While such differences help to explain the number of female league titles won by each institution in a year, they prove to have no impact on the number of male titles won or on the numbers of victories won by a school within the league in the three major male sports basketball, football and hockey

A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine

Machine learning methods are used today for most recognition problems. Convolutional Neural Networks (CNN) have time and again proved successful for many image processing tasks primarily for their architecture. In this paper we propose to apply CNN to small data sets like for example, personal albums or other similar environs where the size of training dataset is a limitation, within the framework of a proposed hybrid CNN-AIS model. We use Artificial Immune System Principles to enhance small size of training data set. A layer of Clonal Selection is added to the local filtering and max pooling of CNN Architecture. The proposed Architecture is evaluated using the standard MNIST dataset by limiting the data size and also with a small personal data sample belonging to two different classes. Experimental results show that the proposed hybrid CNN-AIS based recognition engine works well when the size of training data is limited in siz

Perceptions of gender balance of IS journal editorial positions

An analysis of 18,854 editorial positions on IS journals was undertaken to examine the perceived gender balance of those positions as an indication of their contribution towards a positive role model for females considering an IS academic career. The nature and extent of perceived gender balance is examined in terms of overall composition of editorial positions, journal prestige and the specific area within IS covered by a journal. The results indicate that perceived gender balance of editorial positions reflects that of ICT academia generally, and that female representation appears to be concentrated in journals covering areas that are traditionally seen as female occupations, e.g., health, education, librarianship. As such, little or no encouragement is given to females considering an IS academic career.<br /

The State of American Indian & Alaska Native Education in California 2014

The findings from the California Indian Culture and Sovereignty Center's 2012 report confirmed the need for greater efforts to prepare, to recruit, to retain, and to graduate Native youth from institutions of higher education. In particular, the realization that AI/AN enrollment rates are declining across the CSUs was alarming. These results provided the basis to delve deeper into the program, outreach, and support of postsecondary institutions in the 2014 report to determine where enrollment and transfer numbers are decreasing or increasing; to determine what the best practices at state colleges and universities to attract, retain, and graduate AI/ANs are; and correspondingly to determine where we, as educators of AI/AN students in the state of California, need to improve

RWU Students Place First, Second at National Analytics and Advertising Competitions

A third team representing the Gabelli School of Business placed in the top three at the national analytics competition