BPC-A: Computing Alliance of Hispanic-Serving Institutions--Building a Resilient, Sustainable, and Adaptable CAHSI Ecosystem

BPC-A：西班牙裔服务机构计算联盟——构建有弹性、可持续和适应性强的 CAHSI 生态系统

• 批准号: 1551221
• 负责人: Ann Gates
• 金额: $ 384.2万
• 依托单位: University of Texas at El Paso
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1551221&HistoricalAwards=false
• 关键词: BPC; Computing; Alliance; Hispanic; Serving

The University of Texas, El Paso proposes to extend the work of the Computing Alliance of Hispanic-Serving Institutions (CAHSI) in collaboration with their partners: California State University-Dominguez Hills, California State University-San Marcos, Dade College, Florida International University, New Mexico State University, Texas A&M University-Corpus Christi, University of Houston Downtown, University of Puerto Rico Mayaguez, and the University of Texas Pan American. Together these Hispanic-Serving institutions will work to adapt proven strategies that have positive impact on (1) the number of Hispanic students who enter the workforce with computing degrees; (2) the retention and advancement of Hispanic students and faculty in computing, and (3) the development of sustainable, competitive education and research programs. To accomplish this, CAHSI has already implemented a number of programs, including Peer-Led Team Learning (PLTL) that creates an active learning experience for students and leadership experiences for undergraduates serving as peer leaders, the Affinity Research Group (ARG) model that emphasizes the deliberate and intentional development of technical, team and professional skills and knowledge required for research, and Mentor-Grad that engages undergraduates in experiences and activities that prepare them for graduate studies and the professoriate. CAHSI has a strong record of success: recent bachelor's graduation rates of Hispanics in computer science increased by nearly 25% within their member institution, while over the same time period, the national trend showed a 39% decline. This extension will further existing goals and intentionally develop a sustainable ecosystem to (1) institute a sustainable infrastructure that supports CAHSI's continued impact and (2) become recognized as an organization that affects decision-making and cultural change at the local, regional, and national levels. To achieve these goals CAHSI will establish the cyber infrastructure to support collaborations and dissemination of CAHSI practices, establish collaborations beyond the Alliance with organizations and institutions sharing common goals, and promote multicultural awareness in administrators, faculty, and students.

得克萨斯大学埃尔帕索分校提议与以下合作伙伴合作，扩展西班牙裔服务机构计算联盟（CAHSI）的工作：加州州立大学多明格斯山分校、加州州立大学圣马科斯分校、戴德学院、佛罗里达国际大学、新墨西哥州州立大学、得克萨斯农工大学科珀斯克里斯蒂分校、休斯顿市中心大学、波多黎各马亚圭斯大学和得克萨斯泛美大学。这些西班牙裔服务机构将共同努力，以适应行之有效的战略，对（1）谁进入计算学位的劳动力西班牙裔学生的数量产生积极影响;（2）西班牙裔学生和教师在计算的保留和进步，以及（3）可持续的，有竞争力的教育和研究计划的发展。为了实现这一目标，CAHSI已经实施了一些计划，包括同行领导的团队学习（PLTL），为学生创造积极的学习体验，为担任同行领导的本科生创造领导体验，亲和研究小组（ARG）模型，强调研究所需的技术，团队和专业技能和知识的故意和故意发展，和导师毕业生，从事本科生的经验和活动，为他们准备研究生学习和教授。CAHSI有着良好的成功记录：最近西班牙裔计算机科学学士学位的毕业率在其成员机构内增加了近25%，而在同一时期，全国趋势显示下降了39%。这一扩展将进一步推进现有的目标，并有意识地发展一个可持续的生态系统，以（1）建立一个可持续的基础设施，支持CAHSI的持续影响，（2）成为一个在地方，地区和国家层面影响决策和文化变革的组织。为了实现这些目标，CAHSI将建立网络基础设施，以支持CAHSI实践的合作和传播，与有共同目标的组织和机构建立联盟以外的合作，并促进管理人员，教师和学生的多元文化意识。

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• DOI: 10.1109/access.2021.3092997
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• 发表时间: 2022
• 期刊: 2022 International Conference on Computational Science and Computational Intelligence (CSCI
• 作者: Robin Perry Mayrand;Christian Yaphet Freytes;Luana Okino Sawada;Micheal Adeyosoye;Rosie E. Curiel Cid;David Lowenstein;Ranjan Duara;Malek Adjouadi
• 通讯作者: Malek Adjouadi

UNet++ with Attention Mechanism for Hippocampus Segmentation

UNet 与海马分割的注意力机制

• 发表时间: 2022
• 期刊: 2022 International Conference on Computational Science and Computational Intelligence (CSCI
• 作者: Xueting Cui;Thony Yan Liang;Marymossadat Aghili;Micheal Adeyosoye;Rosie E. Curiel Cid;David Lowenstein;Ranjan Duara;Malek Adjouadi
• 通讯作者: Malek Adjouadi

Comparison of Dimensionality Reduction Methods for Multimodal Classification of Early Stages of Alzheimer’s Disease

阿尔茨海默病早期多模态分类的降维方法比较

• DOI: 10.1109/csci58124.2022.00325
• 发表时间: 2022
• 期刊: 2022 International Conference on Computational Science and Computational Intelligence (CSCI
• 作者: L. O. Sawada, U. Morar