Digital Commons Network^™

Talking Through The Problems: A Study Of Discourse In Peer-Led Small Groups, Michelle D. Repice, R. Keith Sawyer, Mark C. Hogrebe, Patrick L. Brown, Sarah Luesse, Daniel J. Gealy, Regina F. Frey

SIUE Faculty Research, Scholarship, and Creative Activity

Increasingly, studies are investigating the factors that influence student discourse in science courses, and specifically the mechanisms and discourse processes within small groups, to better understand the learning that takes place as students work together. This paper contributes to a growing body of research by analyzing how students engage in conversation and work together to solve problems in a peer-led small-group setting. This qualitative study evaluates video of Peer-Led Team Learning (PLTL) sessions in general chemistry, with attention to both the activity structures and the function of discourse as students undertook different types of problems across one semester. Our findings …

Impacts Of Artisanal And Large Scale Gold Mining On Tropical Rivers In West Africa: A Case Study From The Brong Ahafo Region Of Ghana, Karunia F. Macdonald

Theses: Doctorates and Masters

Mining communities in more than 70 developing countries, mostly in the tropical regions, still practise artisanal and small scale gold mining (ASGM). ASGM commonly operates along rivers and streams for easy access to process water and as receptacles for mine water discharges. A largely unregulated industry, ASGM employs rudimentary mining and processing methods including the use of mercury amalgamation, and is often found near to larger scale and modern mining (LSM) operations.

The substantial use of mercury by ASGM has drawn the attention of agencies and researchers but so has its persistent economic role in providing much needed rural employment. …

Proceedings Of The 3rd Annual Cuny Games Festival, Robert O. Duncan, Joe Bisz, Julie Cassidy, Carlos Hernandez, Kathleen Offenholley, Maura A. Smale, Deborah Sturm, Cuny Games Network

Publications and Research

Proceedings of the CUNY Games Conference, held from January 22-23, 2016, at the CUNY Graduate Center and Borough of Manhattan Community College.

Literacy and Story - Anything Can be Attempted: In-Person Simulations and Role-Plays in Educations - Game Design - STEM - Design Research - Literature and Story - Awareness: Gender and Sex - Transformative Games Initiative: Game Design as a Classroom Laboratory for Any Discipline - Narrative and Rhetoric - Design Challenges - Information Literacy and Language - Game Design for All: What’s Your Game Plan? Turn Any Idea into a Game! - Ghosts in the Machine - Game …

Number Knowledge And Error Types Of Elementary Portuguese Students: Implications For Instruction, Silvana Watson, Sharon Judge, João Lopes, Célia Oliveira, Ana Catarina Jesus

Communication Disorders & Special Education Faculty Publications

In the present study, we examined number knowledge skills of 697 Portuguese elementary students from first to fourth grade. Students completed three number knowledge tasks: 1) translating numbers into words, 2) symbolic magnitude (i.e., number comparison), and 3) decomposing numbers. We evaluated students’ answers by means of error analysis using a three-category coding system adopted from specific error types were computed by grade level. Results showed that there were significant differences among grades and that the prerequisite linguistic error type (i.e., pre linguistic rules or principles of the cardinal number system), particularly in the magnitude tasks, significantly contributed to students’ …

Knowledge Extraction From Metacognitive Reading Strategies Data Using Induction Trees, Christopher Taylor, Arun D. Kulkarni, Kouider Mokhtari

Computer Science Faculty Publications and Presentations

The assessment of students’ metacognitive knowledge and skills about reading is critical in determining their ability to read academic texts and do so with comprehension. In this paper, we used induction trees to extract metacognitive knowledge about reading from a reading strategies dataset obtained from a group of 1636 undergraduate college students. Using a C4.5 algorithm, we constructed decision trees, which helped us classify participants into three groups based on their metacognitive strategy awareness levels consisting of global, problem-solving and support reading strategies. We extracted rules from these decision trees, and in order to evaluate accuracy of the extracted rules, …

Powerlessness Repurposed: The Feminist Ethos Of Judy Bonds, Mary Beth Pennington

English Faculty Publications

No abstract provided.

Confluence Of Vision And Natural Language Processing For Cross-Media Semantic Relations Extraction, Amara Tariq

Electronic Theses and Dissertations

In this dissertation, we focus on extracting and understanding semantically meaningful relationships between data items of various modalities; especially relations between images and natural language. We explore the ideas and techniques to integrate such cross-media semantic relations for machine understanding of large heterogeneous datasets, made available through the expansion of the World Wide Web. The datasets collected from social media websites, news media outlets and blogging platforms usually contain multiple modalities of data. Intelligent systems are needed to automatically make sense out of these datasets and present them in such a way that humans can find the relevant pieces of …

Animism Among Western Buddhists, Daniel S. Capper

Faculty Publications

Myriad instances of animist phenomena abound in the Buddhist world, but due to the outdated concepts of thinkers such as Edward Tylor, James George Frazer, and Melford Spiro, commonly scholars perceive this animism merely as the work of local religions, not as deriving from Buddhism itself. However, when one follows a number of contemporary scholars and employs a new, relational concept of animism that is based on respectful recognition of nonhuman personhoods, a different picture emerges. The works of Western Buddhists such as Stephanie Kaza, Philip Kapleau Roshi, and Gary Snyder express powerful senses of relational animism that arise specifically …

Fuzzy Decision Tree-Based Inference System For Liver Disease Diagnosis, Himaja Sivaraju

Theses and Dissertations

Medical diagnosis can be challenging because of a number of factors. Uncertainty in the diagnosis process arises from inaccuracy in the measurement of patient attributes, missing attribute data and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated variables. Given this situation, a decision support system, which can help doctors come up with a more reliable diagnosis, can have a lot of potential.

Decision trees are used in data mining for classification and regression. They are simple to understand and interpret as they can be visualized. But, one of the disadvantages of …

River Report. State Of The Lower St. Johns River Basin, Florida: Water Quality, Fisheries, Aquatic Life, Contaminants, 2016, Environmental Protection Board, City Of Jacksonville, University Of North Florida, Jacksonville University, Gerry Pinto, Nisse Goldberg, Radha Pyati, Peter Bacopoulos, Anthony Ouellette, Gretchen Bielmyer-Fraser, An-Phong Le, Ray Oldakowski

State of the River Report

No abstract provided.

Implementation Of An Air Supply Unit Control Scheme For The Uc2av (Unmanned Circulation Control Aerial Vehicle), Cameron Rosen

Electronic Theses and Dissertations

The expanded prevalence of Unmanned Aerial Vehicles (UAVs) in recent years has created many opportunities to research novel applications for their use, enabled by the reduced cost, mission flexibility, and reduced risk that small-scale unmanned platforms provide in comparison to larger aircraft. Despite the versatility of unmanned aviation, limitations on payload size and weight, fuel and power capacity, and takeoff and landing infrastructure can restrict UAV applications, and have created a need for lift augmenting technologies that can reduce the impact of these limitations. Circulation Control (CC) is an active flow technique that has been proven as a method for …

From Talk To Bach: Music And Human Behavior, Zoe Swann

The Synapse: Intercollegiate science magazine

No abstract provided.

In God We Trust. All Others Must Bring Data. - W. Edwards Deming Using Word Embeddings To Recognize Idioms, Jing Peng, Anna Feldman

Department of Computer Science Faculty Scholarship and Creative Works

Expressions, such as add fuel to the fire, can be interpreted literally or idiomatically depending on the context they occur in. Many Natural Language Processing applications could improve their performance if idiom recognition were improved. Our approach is based on the idea that idioms violate cohesive ties in local contexts, while literal expressions do not. We propose two approaches: 1) Compute inner product of context word vectors with the vector representing a target expression. Since literal vectors predict well local contexts, their inner product with contexts should be larger than idiomatic ones, thereby telling apart literals from idioms; and (2) …

Identifying Offensive Videos On Youtube, Rajeshwari Kandakatla

Browse all Theses and Dissertations

Harassment on social media has become a critical problem and social media content depicting harassment is becoming common place. Video-sharing websites such as YouTube contain content that may be offensive to certain community, insulting to certain religion, race etc., or make fun of disabilities. These videos can also provoke and promote altercations leading to online harassment of individuals and groups. In this thesis, we present a system that identifies offensive videos on YouTube. Our goal is to determine features that can be used to detect offensive videos efficiently and reliably. We conducted experiments using content and metadata available for each …

Glacial Deposits, Vol. 41, 2016, Department Of Geography-Geology

Glacial Deposits

Newsletter of the Department of Geography-Geology

Development Of Nanoelectrodes For Electrochemical Applications, Séan Barry

Theses

The demand for direct, selective and rapid determination of chemical and biological analytes has led to a growing interest in electrochemical sensor devices. Particularly the use of nanomaterials and nanoelectrodes has received increased interest due to their enhanced electrochemical properties. In this thesis these enhanced properties are exploited in order to develop multiple sensing applications.

Firstly a sensitive microband based sensor is described for the detection of trinitrotoluene and for its discrimination from other nitroaromatic compounds. Square wave voltammetry was used to identify characteristic reduction peaks for these compounds and a calibration plot for the quantification of TNT was also …

Cyberbullying Detection With A Pronunciation Based Convolutional Neural Network, Xiang Zhang, Jonathan Tong, Nishant Vishwamitra, Elizabeth Whittaker, Joseph P. Mazer, Robin Kowalski, Hongxin Hu, Feng Luo, Jamie C. Macbeth, Edward Dillon

Computer Science: Faculty Publications

Cyberbullying can have a deep and long lasting impact on its victims, who are often adolescents. Accurately detecting cyberbullying helps prevent it. However, the noise and errors in social media posts and messages make detecting cyberbullying very challenging. In this paper, we propose a novel pronunciation based convolutional neural network (PCNN) to address this challenge. Upon observing that the pronunciation of misspelled words in informal online conversations is often unchanged, we used the phoneme codes of the text as the features for a convolutional neural network. This procedure corrects spelling errors that did not alter the pronunciation, thereby alleviating the …

Resqu: A Framework For Automatic Evaluation Of Knowledge-Driven Automatic Summarization, Nishita Jaykumar

Browse all Theses and Dissertations

Automatic generation of summaries that capture the salient aspects of a search resultset (i.e., automatic summarization) has become an important task in biomedical research. Automatic summarization offers an avenue for overcoming the information overload problem prevalent in large online digital libraries. However, across many of the knowledge-driven approaches for automatic summarization it is not always clear which features highly impact or influence the quality of a summary. Instead, there has been considerable focus on utilizing schema knowledge to facilitate browsing and exploration of generated summaries a posteriori. Informative features should not be ignored, since they could be utilized to help …

Knowledge-Driven Implicit Information Extraction, Pathirage Dinindu Perera

Browse all Theses and Dissertations

Natural language is a powerful tool developed by humans over hundreds of thousands of years. The extensive usage, flexibility of the language, creativity of the human beings, and social, cultural, and economic changes that have taken place in daily life have added new constructs, styles, and features to the language. One such feature of the language is its ability to express ideas, opinions, and facts in an implicit manner. This is a feature that is used extensively in day to day communications in situations such as: 1) expressing sarcasm, 2) when trying to recall forgotten things, 3) when required to …

Identifying Tweets With Implicit Entity Mentions, Adarsh Koruthu Alex

Browse all Theses and Dissertations

Social networking sites like Twitter and Facebook have become a significant source of user-generated content in the past decade. Mining of this user-generated content has proved beneficial for a broad range of applications like Event Extraction, Document Retrieval, and Sentiment Analysis. Identifying entities is one of the major tasks that fuel important information for above tasks. Identification of entities is typically performed in two steps; Named Entity Recognition (NER) and Entity Linking. State of the art NER solutions focus on recognizing the entities that are mentioned explicitly in social media posts. However, entities are frequently mentioned implicitly in them. For …

Framework For Semantic Integration And Scalable Processing Of City Traffic Events, Surendra Brahma Marupudi

Browse all Theses and Dissertations

Intelligent traffic management requires analysis of a large volume of multimodal data from diverse domains. For the development of intelligent traffic applications, we need to address diversity in observations from physical sensors which give weather, traffic flow, parking information; we also need to do the same with social media, which provides live commentary of various events in a city. The extraction of relevant events and the semantic integration of numeric values from sensors, unstructured text from Twitter, and semi- structured data from city authorities is a challenging physical-cyber-social data integration problem. In order to address the challenge of both scalability …

Learning Hierarchically Decomposable Concepts With Active Over-Labeling, Yuji Mo, Stephen Scott, Doug Downey

School of Computing: Conference and Workshop Papers

Many classification tasks target high-level concepts that can be decomposed into a hierarchy of finer-grained subconcepts. For example, some string entities that are Locations are also Attractions, some Attractions are Museums, etc. Such hierarchies are common in named entity recognition (NER), document classification, and biological sequence analysis. We present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by seperately learning multiple finer-grained classifiers (e.g., museum vs. non-museum), and then combining the results. Soliciting labels at a finer level of granularity than that of the target concept is a new approach …

Evaluating Distributed Word Representations For Predicting Missing Words In Sentences, Saniya Saifee

Dissertations and Theses

In recent years, the distributed representation of words in vector space or word embeddings have become very popular as they have shown significant improvements in many statistical natural language processing (NLP) tasks as compared to traditional language models like Ngram. In this thesis, we explored various state-of-the-art methods like Latent Semantic Analysis, word2vec, and GloVe to learn the distributed representation of words. Their performance was compared based on the accuracy achieved when tasked with selecting the right missing word in the sentence, given five possible options. For this NLP task we trained each of these methods using a training corpus …

Provision Of Hospital-Based Palliative Care And The Impact On Organizational And Patient Outcomes, Marisa L. Roczen

Theses and Dissertations

Hospital-based palliative care services aim to streamline medical care for patients with chronic and potentially life-limiting illnesses by focusing on individual patient needs, efficient use of hospital resources, and providing guidance for patients, patients’ families and clinical providers toward making optimal decisions concerning a patient’s care. This study examined the nature of palliative care provision in U.S. hospitals and its impact on selected organizational and patient outcomes, including hospital costs, length of stay, in-hospital mortality, and transfer to hospice. Hospital costs and length of stay are viewed as important economic indicators. Specifically, lower hospital costs may increase a hospital’s profit …

Fuzzy Logic Based Voltage Control Scheme For Improvement In Dynamic Response Of The Class D Inverter Based High Frequency Induction Heating System, Booma Nagarajan, Rama Reddy Sathi, Pradeep Vishnuram

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

A Few Notes On Nabokov's Childhood Entomology, Victor Fet

Biological Sciences Faculty Research

Nabokov's lepidoptery long posed a question: Was he an amateur or a professional entomologist? Today, it has been amply demonstrated that he was a professional. Kurt Johnson says, "For Nabokov, as with many, fascination with the big picture books of butterflies as a young child grew to concerted collecting as a youngster. As with many scientists, these impressions of youth become a driving life force."³ Nabokov started collecting butterflies in 1906, at age seven, and never ceased; he published his first book of poems ten years later, at age seventeen; his first research paper on butterflies, at age twenty; …

Exploring Feature Sets For Turkish Word Sense Disambiguation, Bahar İlgen, Eşref Adali, Ahmet Cüneyd Tantuğ

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an exploration and evaluation of a diverse set of features that influence word-sense disambiguation (WSD) performance. WSD has the potential to improve many natural language processing (NLP) tasks as being one of the most crucial steps in the area. It is known that exploiting effective features and removing redundant ones help improving the results. There are two groups of feature sets to disambiguate senses and select the most appropriate ones among a set of candidates: collocational and bag-of-words (BoW) features. We introduce the effects of using these two feature sets on the Turkish Lexical Sample Dataset (TLSD), …

A Comprehensive Control Strategy Of Railway Power Quality Compensator For Ac Traction Power Supply Systems, Hamed Jafari Kaleybar, Siamak Farshad

Turkish Journal of Electrical Engineering and Computer Sciences

The development of electrical railway systems leads to critical power quality problems in the power grid. This paper discusses a kind of half-bridge-based railway power quality compensator system (HBRPQC) that can compensate negative sequence currents, harmonics, and reactive power simultaneously. In order to keep the HBRPQC performance efficient for the different kinds of transformers used in traction power supply substations, a new multifunctional control strategy that performs better than previous methods is proposed. Due to the fast dynamicity of traction loads, a recessive self-tuning PI controller based on fuzzy logic is adopted in the current control system. The output control …

Educational Use Of Social Media: Exploring Science And Engineering College Students' Perceptions About Utilizing Facebook To Enhance The Learning Of Physics, Angel Salvador Marquez

Open Access Theses & Dissertations

The aim of this qualitative investigation is to explore a group of science and engineering students' perceptions about utilizing Facebook to enhance the learning of physics. Particularly, a survey composed of multiple choice and open-ended questions was employed as to obtain participantsâ?? reactions on a proposed scenario where Facebook is utilized in an Introductory Classical Mechanics course as the medium to manage the following academic activities throughout the semester: examinations, class preparations, study guides, homework assignments, lab preparations, creating group studies, and class participation dynamics. Out of the 120 potential candidates, 106 of them accepted to voluntarily participate in this …

Low-Cost Fabrication Of Nanoelectrodes For Electrochemical Applications, Colm Barrett

Theses

Compared to traditional macroelectrodes, nanoscale electrodes have tremendous potential when employed in electrochemistry due to enhanced sensitivity arising from increased mass transport to the electrode and low background charging currents. Electrochemically- based diagnostic products such as sensors require sensing elements with greatly enhanced performance and nanoelectrodes offer a viable route to attaining this performance improvement.

Firstly, the fabrication of a polymer microneedle array-based sensor is described and employed to demonstrate a mediated approach for the detection of glucose in solution. This was to demonstrate the feasibility of the system for in-vivo sensing. Cyclic voltammetry was used to achieve detection of …