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Application of Big Data Analytics in Precision Medicine: Lesson for Ethiopia
Precision medicine is an emerging approach for disease treatment and prevention that considers individual variability in genes, environment, and lifestyle for each person. Big data analytics (BDA) using cutting-edge technologies helps to design models that can diagnose, treat and predict diseases. In Ethiopia, healthcare service delivery faces many challenges specifically in relation to prescribing the right medicine to the right patient at the right time. Thus, patients face challenges ranging from staying on treatment plans longer, and then leaving treatment, and finally dying of complications. Therefore, the aim of this paper is to explore the trends, challenges, and opportunities of applying BDA in precision medicine globally and take lessons for Ethiopia through a systematic literature review of 19 peer reviewed articles from five databases. The findings indicated that cancer in general, epilepsy, and systemic diseases altogether are areas currently getting big attention. The challenges are attributed to the nature of health data, failure in collaboration for data sharing, ethical and legal issues, interoperability of systems, poor knowledge skills and culture, and poor infrastructure. Development of modern technologies, experimental technologies and methods, cloud computing, Internet of Things, social networks and Ethiopia’s government initiative to promote private technological firms could be an …
Date:
June 2022
Creator:
Woldemariam, Misganaw Tadesse & Alemneh, Daniel Gelaw
Object Type:
Text
System:
The UNT Digital Library
Changing Landscape of Scholarly Communications: Open Access
The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This document highlighted one of the panels and the panelists argue that open access to scholarly knowledge production should be the modus operandi in the time and age we live in. Open access to knowledge is critical not just to accelerate advances in finding solutions to societal issues, but also to meet the growing expectations around higher education institutions’ social responsibilities in times of uncertainties.
Date:
June 2022
Creator:
Alemneh, Daniel Gelaw; Hawamdeh, Suliman M.; Fourie, Ina; Rorissa, Abebe; Ford, Angela & Assefa, Shimelis
Object Type:
Text
System:
The UNT Digital Library
Increasing Information Certainty for Post-Traumatic Growth
Trauma, and its associated effects, can be conceptualized as a period of information uncertainty. The natural psychological response to trauma is a period of post-traumatic stress. Trauma occurs when an existing knowledge base has been challenged. Any event that challenges important components of an individual’s assumptive world is said to be traumatic. This post-traumatic period is akin to many theories and concepts in information science including uncertainty reduction, Everyday Life Information Seeking, Sensemaking Theory, Making Meaning and Anomalous States of Knowledge. One possible outcome after the post- traumatic period is post-traumatic growth. Researchers agree post-traumatic growth primarily occurs across one or more of the following domains: personal strength, new possibilities, relating to others, appreciation of life and spiritual change. That is, people affected by trauma tend to grow when they find new or additional paths of information certainty.
Date:
June 2022
Creator:
Bank, Nicole & Allen, Jeff M., 1968-
Object Type:
Text
System:
The UNT Digital Library
An Interactive Web-Based Dashboard to Examine Trending Topics: Application to Financial Journals
Understanding trends is helpful to identify future behaviors in the field, and the roles of people, places, and institutions in setting those trends. Although traditional clustering strategies can group articles into topics, these techniques do not focus on topics over limited timescales; additionally, even when articles are grouped, the generated results are extensive and difficult to navigate. To address these concerns, we create an interactive dashboard that helps an expert in the field to better understand and quantify trends in their area of research. Trend detection is performed using the time-biased document clustering introduced in Behpour et al. (2021) study. The developed and freely available web application enables users to detect well defined trending topics in financial journals by experimenting with various levels of temporal bias - from detecting short-timescale trends to allowing those trends to spread over longer times. Experts can readily drill down into the identified topics to understand their meaning through keywords, example articles, and time range. Overall, the interactive dashboard will allow experts in the field to sift through the vast literature to identify the concepts, people, places, and institutions most critical to the field.
Date:
June 2022
Creator:
Phan, Ngoc; Madali, Nayana Pampapura; Behpour, Sahar & Xiao, Ting
Object Type:
Text
System:
The UNT Digital Library
Metadata Practices of Academic Libraries in Kuwait, Oman, and Qatar: Current State, Risks, and Perspectives for Knowledge Management
Developing, implementing, and managing metadata is crucial to successful knowledge management, and academic libraries have traditionally played a central role in these activities. The Arabian Gulf countries are underrepresented in the existing research into library metadata practices. This exploratory study used semi-structured interviews of metadata managers at 8 universities with the goal of developing understanding of the current state of metadata practices, including descriptive cataloging, identity management, and knowledge organization in academic libraries of three Arabian Gulf countries (Kuwait, Oman, and Qatar), as well as potential future developments to facilitate discovery of resources. Findings provide insights into this previously under-researched area and contribute to understanding of knowledge management and risks on a global scale.
Date:
June 2022
Creator:
Zavalina, Oksana & Aljalahmah, Saleh
Object Type:
Text
System:
The UNT Digital Library
Prediction of Concrete Bridge Deck Condition Ratting Based on Climate Data in Addition to Bridge Data: Five States as a Case Study
Evaluating the impact of learning from climate data, in addition to bridge data, on the performance of concrete deck condition rating prediction is critical for identifying the right data needed to enhance bridge maintenance decision making. Few studies have considered such an evaluation and utilized a small size of samples that prevent revealing the knowledge hidden within the big size of data. Although, such evaluation over big data seems quite necessary, class imbalance problem makes it challenging. To alleviate such a problem, five states, including Alabama, Iowa, New York, Pennsylvania, and South Carolina, were selected as the case study. Not only are the states located in three different climatically consistent regions defined by the National Ocean and Atmospheric Administration (NOAA), but also their concrete deck conditions ratings are somewhat balanced. To conduct the evaluation, this research developed the bridge data set pertaining to 56,288 bridges across the afore-mentioned states through employing the GIS technology. The bridge data set contains bridge data derived from National Bridge Inventory (NBI), and climate data derived from Parameter-elevation Relationships on Independent Slopes Model (PRISM) climate maps and NOAA. Then, two machine learning algorithms, including random forest and GBM, were trained - with and without climate …
Date:
June 2022
Creator:
Fard, Fariba
Object Type:
Text
System:
The UNT Digital Library
Research Teams: Fostering Scholarship and Practice
This workshop is presented by members of a University of North Texas research team. First, the team will overview their experience as members of the research team and share experience in areas such as trust formation, team roles, productivity, work-life balance, faculty-students interaction, peer and faculty mentorship, dissertation preparation, and job seeking. Second, the workshop will discuss and brainstorm how this format can be implemented for organizations both with faculty-student teams and with peer-directed teams. Finally, successes and challenges are openly discussed with audience.
Date:
June 2022
Creator:
Allen, Jeff M., 1968-; Khader, Malak; Njeri, Millicent & Rosellini, Amy
Object Type:
Text
System:
The UNT Digital Library
Sense-Making: Panel of Discovery
The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This document highlighted one of the panels that provide an overview of the different methodologies and theories of sense-making from several of the seminal originators of sensemaking.
Date:
June 2022
Creator:
Turner, John; Hawamdeh, Suliman M.; Allen, Jeff M., 1968- & Snowden, Dave
Object Type:
Book
System:
The UNT Digital Library
Social Media and People Perception of Global Warming During Critical Environmental Events: the Impact of Misinformation through the Lens of Social Noise
Global warming is the term used to describe critical environmental issues and concerns. Social media such as Twitter provides a platform for people to share information, exchange ideas, and express their opinions about current and timely issues. This study utilized contextual analysis to analyze data collected from Twitter for the hashtag "global warming" during the period 2010 & 2011. Using sentiment analysis and topic modeling, the study aimed first at assessing people's perception towards global warming issues, and second study the impact of misinformation from the standpoint of social noise on people's perception of global warming during critical environmental events. The outcome of this study helps create a better understanding of the environmental issues discussed on social media. The sentiment analysis from the data analyzed so far shows that most of the tweets were based on Twitter users' personal opinions and not science. The topic modeling results suggest that Twitter users typically tweeted when a major environmental event occurred due to global warming. Topic modeling also aids in the identification of terms that is associated with social noise. The presence of social noise suggests that misinformation does exist and spreads faster.
Date:
June 2022
Creator:
Madali, Nayana Pampapura; Alsaid, Manar & Hawamdeh, Suliman M.
Object Type:
Text
System:
The UNT Digital Library
Stock2Vec: An Embedding to Improve Predictive Models for Companies
Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company stocks, Stock2Vec, which can be easily added to any prediction model that applies to companies with associated stock prices. We describe the process of creating this rich vector representation from stock price fluctuations and characterize what the dimensions represent. We then conduct comprehensive experiments to evaluate this embedding in applied machine learning problems in various business contexts. Our experiment results demonstrate that the four features in the Stock2Vec embedding can readily augment existing cross-company models and enhance cross-company predictions.
Date:
June 2022
Creator:
Yi, Ziruo; Xiao, Ting; Kaz-Onyeakazi, Ijeoma; Ratnam, Cheran; Medeiros, Theophilus; Nelson, Phillip et al.
Object Type:
Text
System:
The UNT Digital Library
Using Data Visualization Tools to Mitigate the Influx of Information in Organizations
Considerable research has been conducted on the topic of information overload using different approaches, from marketing and customer demand to information technologies and sciences, and even among mental health professionals. In business the critical question is how does information overload impact processes, operations, and profitability, and how can data visualization help to solve issues with data management and consumption in organizations. The ability to quickly and effectively process information and make decisions equates to organizational survival in a dynamic, knowledge-based economy where all segments of society are heavily affected by information technologies and systems and data management industries. The growing number of systems apparatuses challenges both individuals and organizations, resulting in reports of fatigue and experiences that compromise successful performance. The objective of this literature review is to discuss how data visualization tools help address information overload and optimize decision making and the business intelligence process in organizations. It concludes that data visualization, indeed, is critical in helping individuals capture, manage, organize, visualize, and present understandable data, but that decision making is affected by cognitive factors that interfere with data processing and interpretation in decision makers.
Date:
June 2022
Creator:
Merlo, Tereza Raquel
Object Type:
Text
System:
The UNT Digital Library
Agile Practices in Data Science and Data Analytics Projects: A Research Agenda
The digital age comes with transformational activities (also referred to as digital transformation) triggered by emerging fields and technologies, such as data science and analytics, cybersecurity, cloud computing, blockchain, cryptocurrency, and nanotechnology; helping organizations stay current and competitive. This paper focuses on agile frameworks that support the delivery of data science/analytics projects to ensure organizations rapidly deliver analytics products and services to their customers.
Date:
December 2020
Creator:
Atolagbe-Olaoye, Abidemi
Object Type:
Paper
System:
The UNT Digital Library
COVID19: Mask Misinformation and Social Noise
Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due to the misinformation, many people might not believe in the effectiveness of masks. Even though studies have shown the effectiveness of wearing masks in different countries (Lyu and Wehby, 2020). Not wearing masks affects people's health and indirectly increases the spread of COVID-19. Studies of social noise and misinformation cases on social media are needed, specifically focusing on how social noise influences and contributes to the spread of misleading and possibly harmful messages.
Date:
December 2020
Creator:
Alsaid, Manar; Madali, Nayana Pampapura; Zimmerman, Tara & Hawamdeh, Suliman M.
Object Type:
Paper
System:
The UNT Digital Library
Development of Micro and Pilot Projects, Evaluation of Technologies, and Developing Data/Information Infrastructure
Successful organizations are continuously looking for better ways to improve efficiency. Knowledge management (KM) in institutions is essentially based on an understanding of knowledge creation and knowledge transfer. At Tarrant County College, we are currently developing a District-wide knowledge management (KM) program. This KM process is implemented via micro pilot projects and processes; and an analysis of current technology, structure, and culture. We carefully try to anticipate challenges we will encounter as the project is executed (geographical distance during a pandemic, cultural barriers, dealing with tacit knowledge…). Next, we carefully begin to create a road map for the KM process including: Establishing objectives, preparing culture change, creating a high-level process, identifying KM/communication/knowledge dissemination gaps, selecting appropriate technology, and deciphering the current status of KM throughout the District. Then, we attempt to implement our KM process via micro pilot projects. We will soon develop methods for evaluating our KM workflow. Our initial results suggest Laserfiche might be able to host 70% of or data and information, however other tools such as ITSM, Microsoft TEAMS, Team Dynamics… will also be needed to host data and information.
Date:
December 2020
Creator:
Helge, Kris & Alemneh, Daniel Gelaw
Object Type:
Paper
System:
The UNT Digital Library
Exploring Knowledge Creation from Project Management Processes using an Analytics Approach: A First Look
Organizations struggle to harness tacit knowledge – the knowledge that resides in the heads of knowledge workers, whereas there are always opportunities to capture knowledge during project management activities. Using a literature review, this paper analyzes how knowledge can be captured during different project management phases. It attempts to bridge frequently ignored areas of project management, knowledge management, and analytics.
Date:
December 2020
Creator:
Atolagbe-Olaoye, Abidemi
Object Type:
Paper
System:
The UNT Digital Library
The Impact of Cyber Addiction on Information Overload and Workplace Performance
Cyber addiction refers to the excessive use of internet and cyber application leading to adverse outcomes such as stress, distractions, reduced motivation levels, and challenges in task orientation. Uncontrolled consumption of the internet leads to information overload that impact productivity and workplace performance (Griffiths, 2010). In such cases, the ubiquitous availability of information can lead to IT-related stress where users derive a reduced sense of satisfaction (Diomidous et al. 2016). People who frequently access the internet can experience various issues, which encompass anxiety, depression, and self-image challenges. Physically, affected individuals experience disrupted sleep patterns, irritability and high levels of fatigue. Social networking sites increase the risk of addiction and online dependency, aspects associated with low levels of productivity (Hoq, 2014). As illustrated in fig 1, the paper hypothesizes that there is a direct relationship between information overload and workplace performance and job satisfaction. The assumption is that cyber addiction worsens the problem of information overload, which in return, impacts information behavior and use and workplace/job performance (Riaz & Qureshi, 2019). The study addresses the following research questions: What is the impact of cyber addiction on workplace performance? What are the relationships between cyber addiction, information workload and information behavior and …
Date:
December 2020
Creator:
Alboulayan, Moneerah & Hawamdeh, Suliman M.
Object Type:
Paper
System:
The UNT Digital Library
Information Representation and Knowledge Organization in Cultural Heritage Organizations in Arab Gulf Counties: A case study of Alqabas Archive
The goal of this study is to explore how information is currently organized in digital cultural heritage collections in Arabian Gulf countries. it focused on Alqabas – a Kuwaiti institution with a strong reputation of early adopter of digital archiving and developer of major digital collections in Arab Gulf counties, accumulated experience in knowledge management. The mixed-methods study combined semi-structured interview of the Alqabas archive manager and in-depth content analysis of a sample of metadata records that represent items in Alqabas digital collections for accuracy, completeness, consistency, use of knowledge organization systems. The study reveals high metadata quality overall but lack of consistency for many metadata fields, explained in part by the absence of metadata creation guidelines and professional training for metadata creators. This indicates potential barriers to metadata interoperability in an aggregated environment for future projects similar to DPLA or Europeana.
Date:
December 2020
Creator:
Aljalahmah, Saleh & Zavalina, Oksana
Object Type:
Paper
System:
The UNT Digital Library
Knowledge Management in Cybersecurity Education Using Concept Maps
The purpose of this research is to explore concept maps as a viable and effective knowledge management tool for cybersecurity education. Concept maps serve as a visual representation of knowledge. They are commonly utilized to support the teaching and learning process or as a student learning evaluation tool. While the focus of education research is on tools specific to cybersecurity such as learning management systems and cyber ranges, there is little dedicated to understanding how concept maps can be applied as an effective element within the security education. This paper reviews relevant research related to the applications of concept maps in diverse knowledge domains. The aim is to leverage previous research applications to garner support for concept maps as a useful knowledge management tool in cybersecurity. This is accomplished by highlighting successful applications of concept maps in related fields. Concept maps are poised to be extremely helpful with complex subjects such as information and cyber security where understanding the subject depends on the application of disparate but interrelated concepts.
Date:
December 2020
Creator:
Bernot, Jordan E. F. & Chang, Hsia-Ching
Object Type:
Paper
System:
The UNT Digital Library
Leveraging Geographical Disparities of Socio-Economic Factors to Predict Vulnerable Teenagers to Teen Birth: Chicago as A Case Study
Teen birth (TB) imposes serious health and economic burdens to both individuals and government. Various attempts have been made to overcome TB such as teen pregnancy prevention evidence-based programs. However, these programs might have declined teen birth rate (TBR), most of which do not address the influencing socio-economic factors linked to areas where teenagers live. This study is aimed at investigating socio-economic factors contributing to TB and identify their geographical disparities. The methodology was developed using the vulnerability theory to examine the complex relationship between TB and socio-economic factors. Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR) were employed to analyze census data. Findings suggest that socio-economically disadvantaged minorities, including unemployed black and uneducated Hispanic, are more vulnerable to TB. Additionally, geographic locations of communities where such teenager live are recognized. The outcomes verified the utility of the vulnerability theory to predict the geographical locations of vulnerable teens that can be leveraged by policymakers to allocate more health resources and perform place-specific interventions to effectively reduce TBR.
Date:
December 2020
Creator:
Sadeghinaeenifard, Fariba & Hawamdeh, Suliman M.
Object Type:
Paper
System:
The UNT Digital Library
An Ontology Approach to Tourism Destinations in Ethiopia
Knowledge is awareness or familiarity gained by experiences of facts, data, and situations. Knowledge management includes techniques and processes to represent, store, search, integrate, and analyze knowledge that is available in digital form. Ontology is a formal explicit specification of a shared conceptualization of a domain of interest and it is a building block of the semantic web and formal description of knowledge. Ontologies capture the structure and knowledge about some domain of interest by describing the concepts in the domain and also the relationships that hold between those concepts. Even though Ethiopia has potential tourist destinations, the country is not benefited from its resources due to misperception about image of the country; lack of promoting the potential tourism resources of the country to the world; problems with sharing, searching and retrieval of tourist information. Thus, the country is forced to accept smaller number of tourists and not getting the benefits it deserves. The objective of this paper is to build ontology for Ethiopian Tourism so that it makes Ethiopian tourism destinations visible to international visitors. We use OWL language implemented in Protégé with other ontology development activities proposed in METHONTOLOGY to build Ethiopian tourism ontology. We also use OWL …
Date:
December 2020
Creator:
Hussen, Tijani; Beyene, Melkamu & Alemneh, Daniel Gelaw
Object Type:
Paper
System:
The UNT Digital Library
Speaker Independent, Continuous Speech Recognizer for Kafi Noonoo, Afro-Asiatic Language in Ethiopia
This paper will report on a research to develop Speaker Independent, Continuous Speech Recognizer for Kafi Noonoo (Afro-Asiatic language that belongs to North Omotic sub family in Ethiopia) using Hidden Markov Modeling technique. The portable and open source toolkit called Hidden Markov Model (HMM) Toolkit is used to perform the experiment. The development of HMM based Automatic Speech Recognition (ASR) requires both text and speech corpus for training and testing the HMM. In order to have a model that incorporates different features of the language, we included the different dialects of Kafi Noonoo in the corpus and then prepared the training and test corpus from the scratch, and after preprocessing we have sampled and performed feature extraction using Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique.
Date:
December 2020
Creator:
Asfaw, Zelalem & Alemneh, Daniel Gelaw
Object Type:
Paper
System:
The UNT Digital Library
Using Operative Data Governance Roadmaps for Business Process Management Success: The Role of Leadership and the Impact of Information Technology Adoption
The unquestionable demand for data generation and consumption in organizations in this century prompt an increasingly notion of data as a valuable asset, provoking the urgency for reliable analysis and reporting of complex data assets towards a critical business decision making process. Computing languages like SQL, Sequential Query Language, Data Mining and Warehouse, and data visualization tools are some examples of how information technology is being applied to the problem solving strategy related to data governance and management. The objective of this article is to provide an overall framework for effective data governance, through the examination of the hierarchy data-wisdom, that can be applied to business processes improvement and business intelligence approaches. Its purpose is to present roadmaps that will lead to superior management decisions impacting the pipeline and the relationship between leaders, staffs, stakeholders, and the corporate governance in terms of data processing and consumption. This literature review work presents the argument that effective use of information technologies, the consolidation of a learning culture, and the fostering of a technological framework that is insightful and enabler of a responsible and steward data management process have decisive impact in the business processes operations and strategies in which leadership plays a …
Date:
December 2020
Creator:
Merlo, Tereza Raquel & Makani, Joyline
Object Type:
Paper
System:
The UNT Digital Library
Wisdom and Veterans: Enhance the Perspective, Experience, and Resilience of the Workforce
Wisdom is defined as “a uniquely human quality demonstrated through an ability to apply self-insight, experience, and sound judgment in conjunction with applicable data, information, and knowledge to create a course of action leading to beneficial and productive decisions for both individuals and society” (Allen et al., 2020, p. 159). Using this definition as a foundation, this research explores how veterans use wisdom to enhance the workforce through perspective, experience, and resilience.
Date:
December 2020
Creator:
Allen, Jeff M., 1968-; Eaves, Tresia D.; Zimmerman, Tara; Rosellini, Amy; Njeri, Millicent & Khader, Malak
Object Type:
Paper
System:
The UNT Digital Library
The Case for Research Collaboration and Alignment: Social Informatics and Knowledge Sciences
This presentation considers how knowledge science theories and methods might apply to the original and current Social Informatics challenges.
Date:
November 10, 2018
Creator:
Bedford, Denise A. D.; Garcia-Perez, Alexeis & Sallos, Mark
Object Type:
Presentation
System:
The UNT Digital Library