Digital Commons Network^™

A New Method For Cluster Life Cycle Stage Identification: Mapping The Evolution Of The Biomedical Competitiveness Cluster Of Wallonia., Conor Michael Harte

Theses

National governments and policy makers alike need data and expertise as they seek to develop accurate and relevant cluster policies and initiatives. It is argued that clusters also have life cycles similar to the way industries, products, and technologies have a life cycle, including a variety of stages (Ingstrup and Damgaard, 2013; Jia et al., 2015; Fornahl and Hassink, 2017; Ferrari et al., 2020). This research addresses three objectives: 1. Analyse the longitudinal development of a cluster to record, measure and analyse its evolution over a three-year period; 2. Create a new methodology to support cluster life cycle stage identification; …

Understanding The Chemical, Biological, Radiological, Nuclear And Explosive (Cbrne) Defense Policy Making Process Through Historical And Current Event Analysis, Michaela Christine Mesiti

Theses

Understanding Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) defense policies is critical in promoting safety to civilian and military personnel in the United States and globally. This thesis first examines a few of the most significant CBRNE policies in history, their place in the world today, and how their creation has impacted society. Utilizing two canonical policy making models– the “linear model” and the “policy stream model”– a range of case studies are analyzed to examine how decision-making behind CBRNE policy compares with other comparable policy domains, particularly non-CBRNE biotechnology innovation. The likelihood of proactivity and the potential influence of …

The Performance Of Biomimicry Architecture In Sustainable Design For A Mixed-Use Workplace In Shanghai (Sustainable Design), Weihong Liu

Theses

Abstract Sustainable architecture design is becoming more and more popular all over the world, especially in China. Active sustainable strategies play an important role in sustainable architecture design such as solar panels, wind turbines, and roof gardens. However, this Thesis will find some new passive ways to improve the sustainability of buildings by proving bionic technology. The thesis seeks to integrate living organisms into buildings to improve the sustainability of buildings and generate sustainable resources. This main focus is biomimetics. The technology used in the design of architecture sustainability. Bionics or biomimicry refers to artificial processes or systems that mimic …

The Application Of International Standards In Kosovo: Challenges And Opportunities For Export Promotion, Rita Thaci

Theses

The core aim of this study is to identify and analyze the extent to which international standards are applied in Kosovo, the challenges firms in Kosovo face with regards to the application of international standards, and the opportunities and benefits that the application of international standards brings to firms and the economy of Kosovo, with a special consideration to exports. The analysis uses primary and secondary data. Secondary data were attained through the literature review and the Kosovo Exporters Directory available in KIESA’s website, whereas primary data were attained through semi-structured interviews with representatives of exporting firms operating in Kosovo. …

Implications Of Unregistered Employment In Kosovo’S Pension System, Drin Cela

Theses

Governments give substantial importance towards retirement. Pension spending accounts for one of the largest spending items of public expenditure. The importance of pensions is going to increase in the future, as demographic trends reflect the greying of the population, in which a decreasing number of working people will need to support an increasing amount of retired people. At the same time, informal employment is a pressing economic issue as is apparent when comparing its size to the general economy. Kosovo is a country that faces both problems, ageing and high informal employment. This study explores the relationship between these two …

Back And Shoulder Exoskeletons For Occupational Use: A Review, Erkan Ozan

Theses

Work-related musculoskeletal disorders (MSDs) account for a large portion of all work-related injuries according to OSHA. Back and shoulder-related disorders make the most of work-related MSDs according to the Bureau of Labor Statistics (BLS). Exoskeletons emerged in recent years with the potential to reduce the risks of work-related musculoskeletal disorders and injuries. Their use in occupational settings is increasing, and exoskeleton designs are rapidly evolving. This paper reviewed recent scientific articles (2015 and after) that evaluated back and shoulder-support passive industrial exoskeletons. The findings of these articles are summarized and analyzed to assess the benefits of passive upper-body exoskeletons by …

Biophilic Architecture Used To Improve Patient Outcomes And Recovery In Behavioral Health Centers, Heidy M. Valdez

Theses

Humans naturally seek adventure and the outdoors. Currently, US institutions that care for people with chronic illnesses, severe injuries, and mental health conditions often exist in neutral spaces with little to no natural elements. Because this does not promote patient happiness, patient recovery time tends to be longer. These institutions are usually not pleasant for patients or their relatives and are seen as negative spaces by the public, which should not be the case. Typical design elements include windows with thick daylight-blocking mullions to ensure no patient tries to hurt themselves, small and dark rooms, white walls, and no private …

Integrated Framework For Analyzing Clean Energy Technology Subsidies, Tiruwork Berhanu Tibebu

Theses

Renewable energy technologies can significantly reduce fossil fuel consumption and greenhouse gas emissions associated with the energy sector. In US, both federal and state governments have implemented numerous policies and programs to support these technologies. But these policies require a substantial amount of public spending. In this study, an integrated model to identify optimal subsidy schedules for clean energy technologies that maximize social benefits less subsidy costs is developed. The national flexible optimal subsidy schedule for residential solar PV begins at $585/kW and declines to zero in 14 years. An alternative analytical model is also presented to analyze technological features …

Impacts Of Drugs On Neurotransmission, Wenrong He

Theses

The most sophisticated and mysterious human organ is the brain. The human brain is made up of billions of neurons, which are working nonstop to send and receive messages to regulate the body’s basic functions. Neurons communicate by releasing neurotransmitters from a sending neuron into the synapse, then a receiving neuron picks up the signals on its receptors from neurotransmitters. Drugs can interfere with the communication between neurons in the brain. They can affect the way people feel, react or behave. Drug use impacts the brain’s neuronal circuits which may lead to inflexible behaviors, lack of self-control, and compulsive drug …

Framing Trust In Artificial Intelligence (Ai) Ethics Communication: Analysis Of Ai Ethics Guiding Principles Through The Lens Of Framing Theory, Namrata Nagar

Theses

With the fast proliferation of Artificial Intelligence (AI) technologies in our society, several corporations, governments, research institutions, and NGOs have produced and published AI ethics guiding documents. These include principles, guidelines, frameworks, assessment lists, training modules, blogs, and principle-to-practice strategies. The priorities, focus, and articulation of these innumerable documents vary to different extents. Though they all aim and claim to ensure AI usage for the common good, the actual AI system outcomes in various social applications have invigorated ethical dilemmas and scholarly debates. This study presents the analysis of AI ethics principles and guidelines text published by three pioneers from …

Deep Learning For Medical Imaging In A Biased Environment, Usman Mahmood

Theses

Deep learning (DL) based applications have successfully solved numerous problems in machine perception. In radiology, DL-based image analysis systems are rapidly evolving and show progress in guiding treatment decisions, diagnosing, localizing disease on medical images, and improving radiologists' workflow. However, many DL-based radiological systems fail to generalize when deployed in new hospital settings, and the causes of these failures are not always clear. Although significant effort continues to be invested in applying DL algorithms to radiological data, many open questions and issues that arise from incomplete datasets remain. To bridge the gap, we first review the current state of artificial …

Interaction With Accessibility On Digital Gaming Platform, Thomas Scott Rothdeutsch

Theses

This project focuses on the designing an user-interface to solve these issues with these certain accessibilities could lead to a better, functionable platform that allows the user with disabilities to be able to play the digital games. It can be projected on projector or touchscreen technology, using its function to provide more availability to support the players to reduce their struggle interacting with an actual physical board and card games. These struggles include opening the packaging, losing pieces, instructions are confusing and constantly moving around to be on the right spot. The features with accessibility will include icons for the …

Bioinformatics Analyses Of New Genes Of Focus In The Research Of Autism With Dogs, Rats, And A Variety Of Other Model Organisms, Aaron Pennington

Theses

Autism is a mental disorder in which multiple genes are involved in the development of its various symptoms. However, as a result of the challenges inherent to identifying the responsible genes, many studies are ongoing and inconclusive. 1 To date, studies have shown that two genes, BAG3 and PALLD, were upregulated in autistic individuals. 2–6 BAG3 encodes BAG cochaperone 3 32; while PALLD encodes Palladin, Cytoskeletal Associated Protein 33. This project analyzed the similarities and differences between the human BAG3 and PALLD genes and those in various model organisms. While it is likely that epigenetic modifications affect the expression and …

Ruminations, Maria Barbara Ileana Kane

Theses

Ruminations is an experimental exhibition which seeks to explore the integration of technology into traditional art. By combining traditional woodblock prints with augmented reality, Ruminations attempts to evoke empathy from the viewer regarding the topic of mental illness. Each AR experience illustrates, though imagery and animation, a different mental illness or psychological phenomenon. The viewer sees each experience separately over a printed background, expanding on the traditional frame and reaching into the world around us.

Coffit: An Interaction Design Project For Remote Employees To Enjoy Casual Talks And Interact With Each Other In A Virtual Environment, Yifei (Effie) Wang

Theses

The impact of the COVID-19 pandemic has changed a portion of people’s way of living and forced a radical shift in working habits. Due to restrictions of non-essential travel and the need for social distancing, many companies have adopted a work-from-home policy for their employees; with some even allowing it to be a permanent move. The policy creates a number of benefits such as increased productivity, reduced commuting time costs, attracting the best talent from any location, and more. And yet challenges have appeared. Long-term remote workers frequently experience feelings of loneliness and isolation, as well as a decline in …

Light Directed Targeted Photodynamic Therapy Of Breast Cancer, Sara Shaut

Theses

Breast cancer is the most prevalent cancer among women besides non-melanoma skin cancer. Even when caught in early stages, the treatment for breast cancer is often accompanied by harsh and debilitating side effects. For better quality of life, treatment options that have minimal side effects but maintain effectiveness are invaluable. If such a treatment option is a targeted form of therapy, it could selectively treat cancerous cells and not healthy cells. Photodynamic therapy (PDT) is a relatively new light-based therapy that utilizes inherent photochemical properties of certain dyes called photosensitizers (PS) in order to kill cancerous cells. It shows great …

Synthesis Of Modular Do3a-Based High-Relaxivity Contrast Agents For Mri Of Prostate Cancer, Dana Qiang Murphy Soika

Theses

Contrast agents (CAs) are small molecules used in magnetic resonance imaging (MRI) to help diagnose various forms of cancer. While MRI is advantageous over other clinical imaging techniques, limitations of today’s contrast agents containing gadolinium (Gd) hinder their safety, sensitivity, and specificity. The conventional CAs that MRI relies on are considered low-relaxivity and are not optimally effective at enhancing MR signal. Additionally, they lack cell-specificity and circulate throughout the body. Furthermore, unbound Gd3+ is nephrogenic which prevents its use in patients with impaired renal function. In the clinic, these limitations mean high dosages of these compounds must be administered to …

Methods For Quantifying Power Characteristics And Chronic Patterns Of Use Behavior Of Electronic Vaping Products, Qutaiba M. Saleh

Theses

Background: The complexity and variety of inhaled tobacco products have increased significantly with the introduction of Electronic Nicotine Delivery Systems (ENDS). Product characteristics and human behavior are the main factors affecting products' emissions, consumption, and health effects. Combining the understanding of these two factors informs the next generation of regulations of these products. Quantifying use patterns helps health care professionals provide informed treatment of users addicted to nicotine and tobacco products. The literature lacks comprehensive studies to characterize ENDS hardware and operation, such as heating element resistance, battery performance, power, and thermal management. Human behavior is measured as use topography, …

Mathematical Modeling Of Seir Model With Generalized Incidence Function And The Extension To Covid-19 Model, Shymaa Mohammad Dadoa

Theses

The COVID-19 pandemic had shown the importance of the SEIR model in predicting the outcome of the disease spread and to find the best strategies to contain the pandemic. As this type of model has a limited number of compartments, many other models were derived from the SEIR model to cover, to the maximum, the complex dynamics of the disease spread. These extensions of the SEIR model bring natural validity questions: How can we validate these models? and how far/close are these extended models from giving us real insights into the pandemic?

This thesis investigates the SEIR epidemic model and …

A Method For Measuring Puffing And Respiratory Parameters Of Tobacco Users Within Their Natural Usage Environment, Shehan Jayasekera

Theses

Background: Although researchers have investigated the puffing behavior of tobacco products, no attempt has yet been made to observe both puffing and respiratory behaviors simultaneously in the natural use environment. Observation of puffing behavior alone is insufficient for predicting the health effects of tobacco use, as it can only be used to estimate the amount of emissions generated and transferred to the oral cavity. Respiration behavior must be observed for the estimation of delivery and retention of nicotine and other HPHCs in the lungs. Parameters that quantify respiratory behavior include inhalation and exhalation volumes, flow rates, and durations, as well …

An Investigation Of Novel Object Recognition Memory In A North American River Otter (Lontra Canadensis), Jessica J. Wegman

Theses

Memory is the mental processes of receiving and storing information for later retrieval, with long-term memories being those that are stored longer than 30 seconds. Little research has been done to investigate memory in any of the 13 species of otters. Object recognition memory has the potential to aid otters in identifying conspecifics, prey, and predators, which would contribute to better survival and fitness. Object recognition memory has been investigated in many non-human animals using the novel object recognition (NOR) task. This study was the first to investigate long-term object recognition memory in the North American river otter using the …

On Uncertainty Propagation In Image-Guided Renal Navigation: Exploring Uncertainty Reduction Techniques Through Simulation And In Vitro Phantom Evaluation, Peter Jackson

Theses

Image-guided interventions (IGIs) entail the use of imaging to augment or replace direct vision during therapeutic interventions, with the overall goal is to provide effective treatment in a less invasive manner, as an alternative to traditional open surgery, while reducing patient trauma and shortening the recovery time post-procedure. IGIs rely on pre-operative images, surgical tracking and localization systems, and intra-operative images to provide correct views of the surgical scene. Pre-operative images are used to generate patient-specific anatomical models that are then registered to the patient using the surgical tracking system, and often complemented with real-time, intra-operative images. IGI systems are …

Cochlear Compartments Segmentation And Pharmacokinetics Using Micro Computed Tomography Images, Sanketh Satyanarayana Moudgalya

Theses

Local drug delivery to the inner ear via micropump implants has the potential to be much more effective than oral drug delivery for treating patients with sensorineural hearing loss and to protect hearing from ototoxic insult due to noise exposure. Delivering appropriate concentrations of drugs to the necessary cochlear compartments is of paramount importance; however, directly measuring local drug concentrations over time throughout the cochlea is not possible. Indirect measurement using otoacoustic emissions and auditory brainstem response are ineffective as they only provide an estimate of concentration and are susceptible to non-linear sensitivity effects. Imaging modalities such as MRI with …

Canine Gait Analysis: Interactive Online Tutorials For Veterinary Students, Allison Buck

Theses

The purpose of this thesis is to produce interactive tutorials that veterinary students can use to explore concepts that are often difficult to conceptualize, including (a) change in joint function, (b) muscle action and innervation, and (c) recognizing and locating normal vs. abnormal structure and function. Elements of this thesis include a complete 3D skeleton constructed using a series of canine CT (DICOM) files, illustrated overlays on video footage of a dog undergoing examination, and short interactive self-assessment tools. Students will be able to deconstruct and toggle components of the skeleton, as well as view the animated skeleton superimposed over …

Selfies And The Self: The Influence Of Instagram Posting On Self And Cognition, Giovanni Castillo

Theses

Research on Social Networking Sites (SNS) has shown a variety of both beneficial and detrimental psychological and cognitive outcomes associated with high frequency usage. We conducted an online study consisting of a series of questionnaires and a working memory task to explore the relationship between Instagram use intensity and cognition. The present study first investigated the relationship between Instagram (IG) use intensity, rumination, and cognitive failures. We randomly assigned participants into a selfie-posting, selfie-sending, or likes/comments reporting condition to determine whether selfie-posting behavior affects working memory performance. While we did not find significant associations between IG use intensity, rumination, and …

Towards A Carbon-Neutral City By 2035: Innovative Transformation Of Domestic Solid Waste Collection And Recovery Services In Sharjah, Basem Abu Sneineh

Theses

This study quantifies the impact of an identified major step in the process of significant contribution to the transformation of Sharjah into a carbon-neutral city by the year 2035. This identified step applies to the concept of waste segregation at the residential sector source which means that the waste generators, i.e. Sharjah residents, are required to segregate the waste that they generate in their houses while disposing it. The march towards a carbon neutral city means driving the carbon dioxide emissions of the city to reach net-zero. This requires the UAE adopt this concept to ensure that the emitted amount …

Localized Surface Plasmon Resonance Enhancement From Complex Nanoscale Geometries, Jacob T. Waitkus

Theses

The unprecedented COVID-19 pandemic highlights the need for portable, sensitive, and accurate biosensors. Here, a novel biosensor that takes advantage of localized surface plasmonic resonance (LSPR) through unique nanoscale geometries was fabricated for sensitive detection of biomarkers. The formation of an adaptable system capable of combining with other sensing methods, such as CRISPR-Cas13a assays, allowed for the detection of specific targets to be realized. In this system, streptavidin-coated gold nanoparticles (GNPs) hybridize with single-stranded RNA (ssRNA) before binding to the surface of gold nanomushrooms (GNMs). Through LSPR enhancement, this binding event produces a red shift in the resonance wavelength peak …

Nlp And Ml Methods For Pre-Processing, Clustering And Classification Of Technical Logbook Datasets, Farhad Akhbardeh

Theses

Technical logbooks are a challenging and under-explored text type in automated event identification. These texts are typically short and written in non-standard yet technical language, posing challenges to off-the-shelf NLP pipelines. These datasets typically represent a domain (a technical field such as automotive) and an application (e.g., maintenance). The granularity of issue types described in these datasets additionally leads to class imbalance, making it challenging for models to accurately predict which issue each logbook entry describes. In this research, we focus on the problem of technical issue pre-processing, clustering, and classification by considering logbook datasets from the automotive, aviation, and …

Smart And Intelligent Automation For Industry 4.0 Using Millimeter-Wave And Deep Reinforcement Learning, Abhishek Vashist

Theses

Innovations in communication systems, compute hardware, and deep learning algorithms have led to the advancement of smart industry automation. Smart automation includes industrial sectors such as intelligent warehouse management, smart infrastructure for first responders, and smart monitoring systems. Automation aims to maximize efficiency, safety, and reliability. Autonomous forklifts can significantly increase productivity, reduce safety-related accidents, and improve operation speed to enhance the efficiency of a warehouse. Forklifts or robotic agents are required to perform different tasks such as position estimation, mapping, and dispatching. Each of the tasks involves different requirements and design constraints. Smart infrastructure for first responder applications requires …

A Physiological Computing System To Improve Human-Robot Collaboration By Using Human Comfort Index, Celal Savur

Theses

Fluent human-robot collaboration requires a robot teammate to understand, learn, and adapt to the human's psycho-physiological state. Such collaborations require a physiological computing system that monitors human biological signals during human-robot collaboration (HRC) to quantitatively estimate a human's level of comfort, which we have termed in this research as comfortability index (CI) and uncomfortability index (UnCI). We proposed a human comfort index estimation system (CIES) that uses biological signals and subjective metrics. Subjective metrics (surprise, anxiety, boredom, calmness, and comfortability) and physiological signals were collected during a human-robot collaboration experiment that varied the robot's behavior. The emotion circumplex model is …