Gaspar data-centric framework

This paper presents the Gaspar data-centric framework to develop high performance parallel applications in Java. Our approach is based on data iterators and on the map pattern of computation. The framework provides an efficient data Application Programming Inter-face(API) that supports flexible data layout and data tiling. Data layout and tiling enable the improvement of data locality, which is essential to foster application scalability in modern multi-core systems. The paper presents the framework data-centric concepts and shows that the performance is comparable to pure Java code.(undefined)info:eu-repo/semantics/publishedVersio

How social interactions matter when distance dies?

We consider an economic geography model with two inter-regional proximity structures, one due to trade linkages and the other due to social interactions. We investigate how the network structure of social interactions, or the social proximity structure, affects the timing of endogenous agglomeration and the spatial distribution of workers across regions. Endogenous agglomeration emerges when inter-regional trade and/or social interactions incur high transportation costs, and the uniform dispersion occurs when these costs become negligibly small (i.e., when distance dies). In many-region geography, the network structure of social proximity emerges as the determinant of the geographical distribution of workers when trade becomes freer. If social proximity is governed by geographical distance (as in ground transportation), a mono-centric concentration emerges. If geographically distant pairs of regions are “socially close” (due to, e.g., passenger transportation modes with strong distance economy such as regional airlines), then geographically multi-centric spatial distribution can be sustainable.info:eu-repo/semantics/publishedVersio

Education Through Athletics: An Examination of Academic Courses Designed for NCAA Athletes

Fundamental to the union of athletics and the academy is an underlying theoretical premise of education through athletics. Despite an organizational union of varsity athletics and American higher education, athletics is commonly viewed as extracurricular, tangential, or a detractor from the educational mission of the academy, and athletics-centric curricula have historically not been viewed as worthy of academic credit despite documented educational benefits. Through survey of a stratifiedrandom sample of National Collegiate Athletics Association (NCAA) Division I, II, and III athletic academic advisors (n = 240), this exploratory study examined the prevalence, design, and institutional perceptions of classes offered exclusively for varsity athletes. Results indicate roughly 1/3 of sample schools facilitate athletecentric academic opportunities, with the majority of courses being 1st semester transition, physical education, or leadership courses. Academic opportunities for athletes were greatest in western, public, and Division I institutions

The impacts of animal farming: A critical overview of primary school textbooks

Based on a sample of 46 Portuguese schoolbooks, this study aims to understand how factory-farmed animals are presented in such books across the themes of food and health, the environment and sustainability, and animal welfare. It examines whether schoolbooks address the importance of reducing the consumption of animal-based products for a healthy diet, whether plant-based diets are recognized as healthy, whether animal welfare and agency are considered, and whether the livestock sec- tor is indicated as a major factor in environmental degradation. The findings show that schoolbooks present animals as essential for economic activities and human nutrition. Recommendations on reducing the consumption of animal-based products in consideration of the environment, sustainability and human health are very rare. Animal production is presented as benign, and the agency and welfare of factory- farmed animals are simply not addressedinfo:eu-repo/semantics/publishedVersio

5G Mobile Communications

This book provides a comprehensive overview of the emerging technologies for next-generation 5G mobile communications, with insights into the long-term future of 5G. Written by international leading experts on the subject, this contributed volume covers a wide range of technologies, research results, and networking methods. Key enabling technologies for 5G systems include, but are not limited to, millimeter-wave communications, massive MIMO technology and non-orthogonal multiple access. 5G will herald an even greater rise in the prominence of mobile access based upon both human-centric and machine-centric networks. Compared with existing 4G communications systems, unprecedented numbers of smart and heterogeneous wireless devices will be accessing future 5G mobile systems. As a result, a new paradigm shift is required to deal with challenges on explosively growing requirements in mobile data traffic volume (1000x), number of connected devices (10–100x), typical end-user data rate (10–100x), and device/network lifetime (10x). Achieving these ambitious goals calls for revolutionary candidate technologies in future 5G mobile systems. Designed for researchers and professionals involved with networks and communication systems, 5G Mobile Communications is a straightforward, easy-to-read analysis of the possibilities of 5G systems

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)

Recommender systems were originally developed as interactive intelligent systems that can proactively guide users to items that match their preferences. Despite its origin on the crossroads of HCI and AI, the majority of research on recommender systems gradually focused on objective accuracy criteria paying less and less attention to how users interact with the system as well as the efficacy of interface designs from users’ perspectives. This trend is reversing with the increased volume of research that looks beyond algorithms, into users’ interactions, decision making processes, and overall experience. The series of workshops on Interfaces and Human Decision Making for Recommender Systems focuses on the "human side" of recommender systems. The goal of the research stream featured at the workshop is to improve users’ overall experience with recommender systems by integrating different theories of human decision making into the construction of recommender systems and exploring better interfaces for recommender systems. In this summary,we introduce the JointWorkshop on Interfaces and Human Decision Making for Recommender Systems at RecSys’21, review its history, and discuss most important topics considered at the workshop

Knowledge-Context in search systems: Toward information-literate actions

In this perspectives paper we define knowledge-context as meta information that searchers use when making sense of information displayed in and accessible from a search engine results page (SERP). We argue that enriching the knowledge-context in SERPs has great potential for facilitating human learning, critical thinking, and creativity by expanding searchers’ information-literate actions such as comparing, evaluating, and differentiating between information sources. Thus it supports the development of learning-centric search systems. Using theories and empirical findings from psychology and the learning sciences, we first discuss general effects of Web search on memory and learning. After reviewing selected research addressing metacognition and self-regulated learning, we discuss design goals for search systems that support metacognitive skills required for long-term learning, creativity, and critical thinking. We then propose that SERPs make both bibliographic and inferential knowledge-context readily accessible to motivate and facilitate information-literate actions for learning and creative endeavors. A brief discussion of related ideas, designs, and prototypes found in prior work follows. We conclude the paper by presenting future research directions and questions on knowledge-context, information-literate actions, and learning-centric search systems.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/148270/1/Smith and Rieh Knowledge-Context in Search Systems CHIIR2019.pd