Science and Technology Studies Commons^™

Climate Change Beliefs, Concerns, And Attitudes Toward Adaptation And Mitigation Among Farmers In The Midwestern United States, J. Gordon Arbuckle, Linda Stalker Prokopy, Tonya Haigh, Jon Hobbs, Tricia Knoot, Cody Knutson, Adam Loy, Amber Saylor Mase, Jean Mcguire, Lois Wright Morton, John Tyndall, Melissa Widhalm

National Drought Mitigation Center: Faculty Publications

A February 2012 survey of almost 5,000 farmers across a region of the U.S. that produces more than half of the nation’s corn and soybean revealed that 66% of farmers believed climate change is occurring (8% mostly anthropogenic, 33% equally human and natural, 25% mostly natural), while 31% were uncertain and 3.5% did not believe that climate change is occurring. Results of initial analyses indicate that farmers’ beliefs about climate change and its causes vary considerably, and the relationships between those beliefs, concern about the potential impacts of climate change, and attitudes toward adaptive and mitigative action differ in systematic …

Augmented Realities And Uneven Geographies: Exploring The Geolinguistic Contours Of The Web, Mark Graham, Matthew Zook

Geography Faculty Publications

This paper analyzes the digital dimensions of places as represented by online, geocoded references to the economic, social, and political experiences of the city. These digital layers are invisible to the naked eye, but form a central component of the augmentations and mediations of place enabled by hundreds of millions of mobile computing devices and other digital technologies. The analysis highlights how these augmentations of place differ across space and language and highlights both the differences and some of the causal factors behind them. This is performed through a global study of all online content indexed within Google Maps, and …

Rfid, Gps, And 3g: Radio Wave Technologies And Privacy, Lori Bowen Ayre

Collaborative Librarianship

No abstract provided.

Technology Innovations In Publishing: New Directions In Academic And Cultural Communication., Elisabeth Tappeiner, Kate Lyons

Publications and Research

Over time, publishing technologies have not only influenced how people read, but also how knowledge is evaluated and authority is established. Social and mobile technologies represent relatively recent developments that have transformed the trade publishing world, but the extent to which they have affected academic publishing remains an open question. This article examines the rapid and disruptive transformations in the trade and digital publishing world, discusses how these developments have already intersected with the work of academics and considers how these changes might continue to transform the dissemination of academic research in the future.

Logical Linked Data Compression, Amit Krishna Joshi, Pascal Hitzler, Guozhu Dong

Computer Science and Engineering Faculty Publications

Linked data has experienced accelerated growth in recent years. With the continuing proliferation of structured data, demand for RDF compression is becoming increasingly important. In this study, we introduce a novel lossless compression technique for RDF datasets, called Rule Based Compression (RB Compression) that compresses datasets by generating a set of new logical rules from the dataset and removing triples that can be inferred from these rules. Unlike other compression techniques, our approach not only takes advantage of syntactic verbosity and data redundancy but also utilizes semantic associations present in the RDF graph. Depending on the nature of the dataset, …

Student Perceptions Of Digital Storytelling As A Learning-Tool For Educational Leaders, Jason Lafrance, Jason Blizzard

Leadership, Technology & Human Development: Faculty Publications

: A study regarding students’ perceptions of digital storytelling as a learning tool was conducted in the fall of 2012. The population consisted of 12 students participating in an Administrative Theory course as part of their doctoral program in K-12 or higher education administration at a Carnegie Doctoral Research University in Georgia. During the eight-week course, students created digital stories that synthesized an autoethnography with leadership theory using Bolman and Deal’s (2011) four-framework approach to leadership. This allowed students to demonstrate the practice of continual reflection and assessment, a commitment to technology, diversity, and in-depth understanding of the knowledge and …

Ecological Restoration's Genetic Culture: Participation And Technology In The Making Of Landscapes, Jairus Rossi

Theses and Dissertations--Geography

Practitioners of ecological restoration are increasingly adopting a genetic perspective when recreating historical landscapes. Genes are often endowed with the capacity to reveal specific and distinct relationships between organisms and environments. In this dissertation, I examine how genetic technologies and concepts are shaping ecological restoration practices. This research is based on two and a half years of fieldwork in Chicago. I employed participant observation and semi-structured interviews to compare how restorationists in two plant science institutions employ genetic concepts in their projects. One institution uses high-tech genetic methods to guide practice while the other uses lower-tech genetic approaches. Each group …

The Critical Role Of Mechanism-Based Models For Understanding And Predicting Liposomal Drug Loading, Binding And Release Kinetics, Sweta Modi

Theses and Dissertations--Pharmacy

Liposomal delivery systems hold considerable promise for improvement of cancer therapy provided that critical formulation design criteria can be met. The main objective of the current project was to enable quality by design in the formulation of liposomal delivery systems by developing comprehensive, mechanism-based mathematical models of drug loading, binding and release kinetics that take into account not only the therapeutic requirement but the physicochemical properties of the drug, the bilayer membrane, and the intraliposomal microenvironment.

Membrane binding of the drug affects both drug loading and release from liposomes. The influence of bilayer composition and phase structure on the partitioning …

Biodiversity Heritage Library, Smithsonian Institution Libraries, Deanna Marcum

Copyright, Fair Use, Scholarly Communication, etc.

The Biodiversity Heritage Library (BHL), created in 2006, is the result of a collaboration of ten natural history museum and botanical garden libraries seeking to digitize core taxonomic literature and to make it free and openly available throughout the world. Today, the BHL includes fifteen member institutions whose efforts have shaped a collection of over 60,000 titles. It is supported through a combination of membership dues, in-kind support from member institutions, contributions from the user community, and direct support from the Smithsonian Institution Libraries, and it reaches tens of thousands of users each year. While managing the complex partnership has …

A Thermal Conversion Efficiency Study On Biomass Gasification Of Arundo Donax And Woodchips, Wei Wang

Masters Theses

The threat of energy depletion and greenhouse gas effect prove that fossil fuels are no longer sustainable for wide use. Thus, looking for alternative energy resources that are sustainable for use, environmentally friendly as well as regionally available is a challenge for current researchers. Biomass gasification is a process that turns solid biomass into combustible syn-gas. The identification of appropriate fuel sources for biomass gasification facilities in a particular region is significant from both energy and economic efficiency perspective.

This research developed three methods to calculate thermal conversion efficiency for biomass gasification using a downdraft laboratory scale gasification system. These …

Evaluating The Effectiveness Of The All Power Labs Power Pallet As A Training Tool For Biomass Gasification Education, Christopher Che Frederick

Masters Theses

The purpose of this study was to provide a better understanding of classroom training with regard to renewable energies. A lecture series and survey were developed by the principle researcher and presented to students in the Alternative and Renewable Energy Systems class and Machine Design class at Eastern Illinois University. The lecture series introduced students to biomass gasification and its application at Eastern Illinois University. The survey analyzed participant's level of knowledge of gasification technologies. The survey's pre and post test scores were used to validate the effectiveness of the training.

The All Power Labs Power Pallet was utilized as …

User Taglines: Alternative Presentations Of Expertise And Interest In Social Media, Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas

Kno.e.sis Publications

Web applications are increasingly showing recommended users from social media along with some descriptions, an attempt to show relevancy - why they are being shown. For example, Twitter search for a topical keyword shows expert twitterers on the side for 'whom to follow'. Google+ and Facebook also recommend users to follow or add to friend circle. Popular Internet newspaper- The Huffington Post shows Twitter influencers/ experts on the side of an article for authoritative relevant tweets. The state of the art shows user profile bios as summary for Twitter experts, but it has issues with length constraint imposed by user …

Are Twitter Users Equal In Predicting Elections? A Study Of User Groups In Predicting 2012 U.S. Republican Primaries, Lu Chen, Wenbo Wang, Amit P. Sheth

Kno.e.sis Publications

Existing studies on predicting election results are under the assumption that all the users should be treated equally. However, recent work [14] shows that social media users from different groups (e.g., “silent majority” vs. “vocal minority”) have significant differences in the generated content and tweeting behavior. The effect of these differences on predicting election results has not been exploited yet. In this paper, we study the spectrum of Twitter users who participate in the on-line discussion of 2012 U.S. Republican Presidential Primaries, and examine the predictive power of different user groups (e.g., highly engaged users vs. lowly engaged users, right-leaning …

The Ssn Ontology Of The W3c Semantic Sensor Network Incubator Group, Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Andrew Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit P. Sheth, Kerry Taylor

Kno.e.sis Publications

The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations — the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.

Demonstration: Dynamic Sensor Registration And Semantic Processing For Ad-Hoc Mobile Environments (Semmob), Pramod Anantharam, Gary Alan Smith, Josh Pschorr, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

SemMOB enables dynamic registration of sensors via mobile devices, search, and near real-time inference over sensor observations in ad-hoc mobile environments (e.g., fire fighting). We demonstrate SemMOB in the context of an emergency response use case that requires automatic and dynamic registrations of sensor devices and annotation of sensor observations, decoding of latitude-longitude information in terms of human sensible names, fusion and abstraction of sensor values using background knowledge, and their visualization using mash-up.

Using Social Influence To Predict Subscriber Churn, Derek Doran, Veena Mendiratta, Chitra Phadke, Dan Kushnir, Huseyin Uzunalioglu

Kno.e.sis Publications

The saturation of mobile phone markets has resulted in rising costs for operators to obtain new customers. These operators thus focus their energies on identifying users that will churn so they can be targeted for retention campaigns. Typical churn prediction algorithms identify churners based on service usage metrics, network performance indicators, and demographic information. Social and peer-influence to churn, however, is usually not considered. In this paper, we describe a new churn prediction algorithm that incorporates the influence churners spread to their social peers. Using data from a major service provider, we show that social influence improves churn prediction and …

Understanding User Triads On Facebook, Derek Doran, Alberta De La Rosa Algarin, Swapna S. Gokhale

Kno.e.sis Publications

Contemporary approaches that analyze user behavior on online social networks only consider interactions among dyads, which are pairs of directly connected users. A large body of sociological work, however, suggests that mutual connections among users can influence their activities, leading to differences between two- and three-way interactions. This paper explores the dynamics of triads among Facebook users based on the wall posts from the New Orleans regional network. Initially, each connection is categorized as a close friendship or an acquiantance, contingent on the number of wall posts exchanged. Subsequently, the impact of different types of connections comprising triads is examined …

How I Would Like Semantic Web To Be, For My Children., Raghava Mutharaju

Kno.e.sis Publications

Semantic Web, since its inception, has gone through lot of developments in its relatively nascent existence; right from people's perception, to the standards and to its adoption by the industry and more importantly by the scientific community. This impressive growth only seems to increase. In this paper, we project this growth to the next 10 years and highlight some of the facets on which Semantic Web could have a major impact on. We also present the challenges that Semantic Web and its community has to deal with in order to get there.

An Efficient Bit Vector Approach To Semantics-Based Machine Perception In Resource-Constrained Devices, Cory Andrew Henson, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

The primary challenge of machine perception is to define efficient computational methods to derive high-level knowledge from low-level sensor observation data. Emerging solutions are using ontologies for expressive representation of concepts in the domain of sensing and perception, which enable advanced integration and interpretation of heterogeneous sensor data. The computational complexity of OWL, however, seriously limits its applicability and use within resource-constrained environments, such as mobile devices. To overcome this issue, we employ OWL to formally define the inference tasks needed for machine perception – explanation and discrimination – and then provide efficient algorithms for these tasks, using bit-vector encodings …

Iexplore: Interactive Browsing And Exploring Biomedical Knowledge, Vinh Nguyen, Olivier Bodenreider, Jagannathan Srinivasan, Todd Minning, Thomas Rindflesch, Bastien Rance, Ramakanth Kavuluru, Himi Yalamanchili, Krishnaprasad Thirunarayan, Satya S. Sahoo, Amit P. Sheth

Kno.e.sis Publications

We present iExplore, a Semantic Web based application that helps biomedical researchers study and explore biomedical knowledge interactively. iExplore uses the Biomedical Knowledge Repository (BKR), which integrates knowledge from various sources ranging from information extracted from biomedical literature (from PubMed) to many structured vocabularies in the Unified Medical Language System (UMLS). The current version of BKR provides a unified provenance representation for 12 million semantic predications (triples with a predicate connecting a subject and an object) derived from 87 vocabulary families in the UMLS and 14 million predications extracted from 21 million PubMed abstracts. To engage the domain experts in …