Digital Commons Network^™

El Reto De Una Democracia Planetaria: Vandana Shiva Y La Relevancia Del Feminismo Tradicional, Priya Kapoor

International & Global Studies Faculty Publications and Presentations

Este artículo analiza el caso de la activista ambiental y científica Vandana Shiva y su visión de una tierra democrática, al tiempo que examina la teoría feminista. Shiva media múltiples realidades de compañías multinacionales de biotecnología, movilizaciones populares y su propia marca de prácticas feministas. El activismo de Shiva muestra la posición intermediaria de mujeres líderes que deben balancear y comunicar asertivamente las relaciones entre el Estado y las corporaciones, mientras al mismo tiempo reivindican un liderazgo moral.

While examining transnational feminist theory, this article scrutinizes the case of environmental activist and scientist Vandana Shiva and her vision of an …

The Broadsheet- Issue 9, Merrimack College

The Broadsheet

Merrimack College's English Department newsletter.

This issue features:

• English Career Night Recap
• Interview with Michelle Norton of The Merrimack Review
• Opportunity at the O’Brien Center
• What English Majors are Reading

Using The School Improvement Plan For Program Advocacy, Richard E. Cleveland

Leadership, Technology & Human Development: Faculty Presentations

This session will provide brief background and introductory information about school improvement plans (SIPs). It will also provide alignment between site/district SIPs and comprehensive school counseling programs such as the ASCA National Model. This program will outline how SIP involvement can create program advocacy. Participants will have working time to engage in brainstorming ideas for connecting with their site/district SIP and SIP goals.

An Intersectional Analysis Of Sex Trafficking Films, Carrie N. Baker

Study of Women, Gender, & Sexuality: Faculty Publications

This essay analyzes the portrayal of sex trafficking in representative dramas and documentaries, both Hollywood and independent films. The majority of these films use a rescue narrative to tell the story of sex trafficking: an innocent and naïve young woman or girl is tricked or abducted by a villainous trafficker, who imprisons her and controls her with brutal violence until a heroic rescuer overcomes tremendous adversity in order to save her. Race and nationality inflect this gendered narrative: the rescuers are usually white, Western men and the traffickers are from Eastern Europe and/or are men of color. The issue of …

Effects Of Room Acoustics On Comprehension Of Foreign-Accented Speech By Native And Non-Native English-Speaking Listeners, Zhao Peng, Kristin E. Hanna, Brenna N. Boyd, Lily M. Wang

Durham School of Architectural Engineering and Construction: Faculty Publications

In a previous study by the authors, reverberation time (RT) and background noise level (BNL) were both found to have negative effects on native and non-native English-speaking listeners in comprehending English speech produced by native American-English-speaking talkers. Comprehension scores were adjusted for listeners’ baseline English proficiency levels. In the present study, instead of native English-speaking talkers, two native Mandarin Chinese talkers (one male, one female) with similar English spoken proficiency were recruited to produce the same speech materials used in the previous study. A similar methodology was adopted to conduct speech comprehension tests on three groups of listeners: 1) native …

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Against the Grain

No abstract provided.

Cases Of Note: Sometimes It's Not A Federal Action, Bruce Strauch, Bryan M. Carson, Jack Montgomery

Against the Grain

No abstract provided.

Bet You Missed It: What Do Hamburgers And Gimlets Have In Common?, Bruce Strauch

Against the Grain

No abstract provided.

David Mccune Profile

Against the Grain

No abstract provided.

Library Publishing Of Open Textbooks: The Open Suny Textbooks Program, Kate Pitcher

Against the Grain

No abstract provided.

Table Of Contents

Against the Grain

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If Rumors Were Horses, Katina Strauch

Against the Grain

No abstract provided.

Peter Binfield Profile

Against the Grain

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Jason Hoyt Profile

Against the Grain

No abstract provided.

The Ucla Libraries Affordable Course Materials Initiative: Expanding Access, Use, And Affordability Of Course Materials, Sharon E. Farb, Todd Grappone

Against the Grain

No abstract provided.

Protecting An Asian Treasure In America, Jeffrey Andrien

Asian Management Insights

The impact of Japanese cars on the American auto industry is well known. Not so well known are the regulatory and intellectual property issues faced by beef producers in the introduction of Japan’s esteemed Wagyu beef herd to U.S. pastures and tables.

Dynamic Advantage, Stephen Wyatt

Asian Management Insights

Reaping the advantages of a global resource network.

Closing The Talent Gap In India's It Sector, Arnoud De Meyer, Peter Williamson

Asian Management Insights

How Infosys reduces partnership risk through ecosystem management

Rapid: A Toolkit For Reliability Analysis Of Non-Deterministic Systems, Lin Gui, Jun Sun, Yang Liu, Truong Khanh Nguyen, Jin Song Dong Dong

Research Collection School Of Computing and Information Systems

Non-determinism in concurrent or distributed software systems (i.e., various possible execution orders among different distributed components) presents new challenges to the existing reliability analysis methods based on Markov chains. In this work, we present a toolkit RaPiD for the reliability analysis of non-deterministic systems. Taking Markov decision process as reliability model, RaPiD can help in the analysis of three fundamental and rewarding aspects regarding software reliability. First, to have reliability assurance on a system, RaPiD can synthesize the overall system reliability given the reliability values of system components. Second, given a requirement on the overall system reliability, RaPiD can distribute …

Band Selection For Hyperspectral Images Using Probabilistic Memetic Algorithm, Liang Feng, Ah-Hwee Tan, Meng-Hiot Lim, Si Wei Jiang

Research Collection School Of Computing and Information Systems

Band selection plays an important role in identifying the most useful and valuable information contained in the hyperspectral images for further data analysis such as classification, clustering, etc. Memetic algorithm (MA), among other metaheuristic search methods, has been shown to achieve competitive performances in solving the NP-hard band selection problem. In this paper, we propose a formal probabilistic memetic algorithm for band selection, which is able to adaptively control the degree of global exploration against local exploitation as the search progresses. To verify the effectiveness of the proposed probabilistic mechanism, empirical studies conducted on five well-known hyperspectral images against two …

Online Transfer Learning, Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin Li

Research Collection School Of Computing and Information Systems

This paper investigates a new machine learning framework of Online Transfer Learning (OTL), which aims to attack an online learning task on a target domain by transferring knowledge from some source domain. We do not assume data in the target domain follows the same distribution as that in the source domain, and the motivation of our work is to enhance a supervised online learning task on a target domain by exploiting the existing knowledge that had been learnt from training data in source domains. OTL is in general a challenging problem since data in both source and target domains not …

Deep Learning For Content-Based Image Retrieval: A Comprehensive Study, Ji Wan, Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li

Research Collection School Of Computing and Information Systems

Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image retrieval (CBIR) system. Despite extensive research efforts for decades, it remains one of the most challenging open problems that considerably hinders the successes of real-world CBIR systems. The key challenge has been attributed to the well-known "semantic gap" issue that exists between low-level image pixels captured by machines and high-level semantic concepts perceived by human. Among various techniques, machine learning has been actively investigated as a possible direction to bridge the semantic gap in the long term. Inspired by recent successes of deep …

Historical Traffic-Tolerant Paths In Road Networks, Pui Hang Li, Man Lung Yiu, Kyriakos Mouratidis

Research Collection School Of Computing and Information Systems

Historical traffic information is valuable for transportation analysis and planning, as well as for route search services. In view of these applications, we propose the k traffic-tolerant paths problem (TTP) on road networks, which takes a source-destination pair and historical traffic information as input, and returns k paths that minimize the aggregate (historical) travel time. Unlike the shortest path problem, the TTP problem has a combinatorial search space that renders the optimal solution expensive to compute. We propose an exact algorithm and a heuristic algorithm for this problem. Experiments on real traffic data demonstrate the effectiveness of TTP paths and …

Dynamic Clustering Of Contextual Multi-Armed Bandits, Trong T. Nguyen, Hady W. Lauw

Research Collection School Of Computing and Information Systems

With the prevalence of the Web and social media, users increasingly express their preferences online. In learning these preferences, recommender systems need to balance the trade-off between exploitation, by providing users with more of the "same", and exploration, by providing users with something "new" so as to expand the systems' knowledge. Multi-armed bandit (MAB) is a framework to balance this trade-off. Most of the previous work in MAB either models a single bandit for the whole population, or one bandit for each user. We propose an algorithm to divide the population of users into multiple clusters, and to customize the …

Vireo-Tno @ Trecvid 2014: Multimedia Event Detection And Recounting (Med And Mer), Chong-Wah Ngo, Yi-Jie Lu, Hao Zhang, Ting Yao, Chun-Chet Tan, Lei Pang, Maaike De Boer, John Schavemaker, Klamer Schutte, Wessel Kraaij

Research Collection School Of Computing and Information Systems

This paper presents an overview and comparative analysis of our systems designed for TRECVID 2014 [1] multimedia event detection (MED) and recounting (MER) tasks, including all sub-tasks for Pre-Specified (PS) event detection, all sub-tasks except 100Ex for Ad-Hoc (AH) event detection, and 010Ex sub-task for both PS and AH event recounting. Multimedia Event Detection (MED) : Our main focus for the MED task is on the study of a new zero-example system, which aims to solve the 000Ex and SQ problems. The system can run either fully automatically or semi-automatically. Specifically, we test the automatic run in 000Ex submission and …

Have Dominicans Surpassed Puerto Ricans To Become New York City’S Largest Latino Nationality? An Analysis Of Latino Population Data From The 2013 American Community Survey For New York City And The Metropolitan Area, Laird W. Bergad

Center for Latin American, Caribbean, and Latino Studies

Introduction: This study examines three data sets from the recently released American Community Survey (ACS) of 2013 to estimate the population sizes of the largest Latino national sub groups in New York City and in the City’s surrounding counties.

Methods: Data on Latinos and other racial/ethnic groups were obtained from the U.S. Census Bureau American Community Survey, reorganized for public use by the Minnesota Population Center, University of Minnesota, IPUMSusa. Cases in the dataset were weighted and analyzed to produce population estimates.

Results: The data released by IPUMS in November 2014 from American Community Survey for 2013, and analyzed here, …

Demographic, Economic And Social Transformations In The Colombian-Origin Population Of The New York City Metropolitan Area, 1990 - 2010, Laird W. Bergad

Center for Latin American, Caribbean, and Latino Studies

Introduction: This study examines demographic and socioeconomic aspects of the Colombian-origin population of the New York City area between 1990 and 2010.

Methods: Data on Latinos and other racial/ethnic groups were obtained from the U.S. Census Bureau American Community Survey, reorganized for public use by the Minnesota Population Center, University of Minnesota, IPUMSusa. Cases in the dataset were weighted and analyzed to produce population estimates.

Results: The demographic, social, and economic indicators considered in this report were influenced by decline of immigration from Colombia to the region after 2000. Like most immigrant groups before them Colombians are ambitious, hard workers, …

2014 Future Earth Young Scientists Conference On Integrated Science And Knowledge Co-Production For Ecosystems And Human Well-Being, Ivy Shiue, Et. Al.

Research Collection Yong Pung How School Of Law

Effective integration in science and knowledge co-production is a challenge that crosses research boundaries, climate regions, languages and cultures. Early career scientists are crucial in the identification of, and engagement with, obstacles and opportunities in the development of innovative solutions to complex and interconnected problems. On 25–31 May 2014, International Council for Science and International Social Science Council, in collaboration with the International Network of Next-Generation Ecologists and Institute for New Economic Thinking: Young Scholars Initiative, assembled a group of early career researchers with diverse backgrounds and research perspectives to reflect on and debate relevant issues around ecosystems and human …

Player Acceptance Of Human Computation Games: An Aesthetic Perspective, Xiaohui Wang, Dion Hoe Lian Goh, Ee Peng Lim, Adrian Wei Liang Vu

Research Collection School Of Computing and Information Systems

Human computation games (HCGs) are applications that use games to harness human intelligence to perform computations that cannot be effectively done by software systems alone. Despite their increasing popularity, insufficient research has been conducted to examine the predictors of player acceptance for HCGs. In particular, prior work underlined the important role of game enjoyment in predicting acceptance of entertainment technology without specifying its driving factors. This study views game enjoyment through a taxonomy of aesthetic experiences and examines the effect of aesthetic experience, usability and information quality on player acceptance of HCGs. Results showed that aesthetic experience and usability were …

On Joint Modeling Of Topical Communities And Personal Interest In Microblogs, Tuan-Anh Hoang, Ee Peng Lim

Research Collection School Of Computing and Information Systems

In this paper, we propose the Topical Communities and Personal Interest (TCPI) model for simultaneously modeling topics, topical communities, and users’ topical interests in microblogging data. TCPI considers different topical communities while differentiating users’ personal topical interests from those of topical communities, and learning the dependence of each user on the affiliated communities to generate content. This makes TCPI different from existing models that either do not consider the existence of multiple topical communities, or do not differentiate between personal and community’s topical interests. Our experiments on two Twitter datasets show that TCPI can effectively mine the representative topics for …