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Full-Text Articles in Physical Sciences and Mathematics

Development Of A Compact Broadband Optical Parametric Oscillator For Ultra-Sensitive Molecular Detection, Sean O. Crystal Jan 2017

Development Of A Compact Broadband Optical Parametric Oscillator For Ultra-Sensitive Molecular Detection, Sean O. Crystal

Honors Undergraduate Theses

Every gas molecule has a unique absorption spectrum that can be captured using optical spectroscopy to identify an unknown sample's composition. Frequency combs systems can provide an extremely broad mid-infrared spectrum that is very useful for molecular detection. A degenerate optical parametric oscillator (OPO) was built to generate the down-converted and shifted frequency comb spectrum. This system utilizes an ultra-short pulse 1.56µm pump laser and a never before used orientation patterned gallium-phosphide crystal. Periodically polled lithium niobate (PPLN), Gallium Arsenide (GaAs) and Gallium Phosphide are all crystals used to accomplish this task. GaP, in comparison to PPLN, has (i) a …


A Comparison Of Stimulus Presentation Methods In Temporal Discrimination Testing, Eavan M. Mcgovern, John Butler, Ines Beiser, Laura Williams, Brendan Quinlivan, Shruti Narasiham, Rebecca Beck, Sean O'Riordan, Richard B. Reilly, Michael Hutchinson Jan 2017

A Comparison Of Stimulus Presentation Methods In Temporal Discrimination Testing, Eavan M. Mcgovern, John Butler, Ines Beiser, Laura Williams, Brendan Quinlivan, Shruti Narasiham, Rebecca Beck, Sean O'Riordan, Richard B. Reilly, Michael Hutchinson

Articles

The temporal discrimination threshold (TDT) is the shortest time interval at which an individual detects two stimuli to be asynchronous (normal  =  30-50 ms). It has been shown to be abnormal in patients with disorders affecting the basal ganglia including adult onset idiopathic focal dystonia (AOIFD). Up to 97% of patients have an abnormal TDT with age- and sex-related penetrance in unaffected relatives, demonstrating an autosomal dominant inheritance pattern. These findings support the use of the TDT as a pre-clinical biomarker for AOIFD. The usual stimulus presentation method involves the presentation of progressively asynchronous stimuli; when three sequential stimuli are …


Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri Jan 2017

Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri

Electronic Theses and Dissertations

Image classification and extracting the characteristics of a tumor are the powerful tools in medical science. In case of breast cancer medical treatment, the breast cancer classification methods can be used to classify input images as benign and malignant classes for better diagnoses and earlier detection with breast tumors. However, classification process can be challenging because of the existence of noise in the images, and complicated structures of the image. Manual classification of the images is timeconsuming, and need to be done only by medical experts. Hence using an automated medical image classification tool is useful and necessary. In addition, …


Harnessing Local Strength For Sustainable Coffee Value Chains In India And Nicaragua: Reevaluating Certification To Global Sustainability Standards, Dagmar Mithöfer, V. Ernesto Méndez, Arshiya Bose, Philippe Vaast Jan 2017

Harnessing Local Strength For Sustainable Coffee Value Chains In India And Nicaragua: Reevaluating Certification To Global Sustainability Standards, Dagmar Mithöfer, V. Ernesto Méndez, Arshiya Bose, Philippe Vaast

College of Agriculture and Life Sciences Faculty Publications

Coffee is generally grown in areas derived from forest, and both its expansion and management cause biodiversity loss. Sustainability standards in coffee are well established but have been criticized while social and environmental impact is elusive. This paper assesses the issue-attention cycle of coffee production in India and Nicaragua, including producer concerns and responses over time to concerns (sustainability standards, public regulations and development projects). Systematic comparison of the socioeconomic, environmental and policy context in both countries is then used to explore potential effects of sustainability standards. Results show limits, in local context, to relevance of global certification approaches: in …


Integrating Agroecology And Participatory Action Research (Par): Lessons From Central America, V. Ernesto Méndez, Martha Caswell, Stephen R. Gliessman, Roseann Cohen Jan 2017

Integrating Agroecology And Participatory Action Research (Par): Lessons From Central America, V. Ernesto Méndez, Martha Caswell, Stephen R. Gliessman, Roseann Cohen

College of Agriculture and Life Sciences Faculty Publications

The last decade has seen an increasing advancement and interest in the integration of agroecology and participatory action research (PAR). This article aims to: (1) analyze the key characteristics and principles of two case studies that integrated PAR and agroecology in Central America; and (2) learn from the lessons offered by these case studies, as well as others from the literature, on how to better integrate PAR and agroecology. Key principles identified for effective PAR agroecological processes include a shared interest in research by partners, a belief in collective power/action, a commitment to participation, practicing humility and establishing trust and …


Evaluation Of Flocculation, Sedimentation, And Filtration For Dewatering Of Scenedesmus Algae, Nicholas A. Rhea, Jack Groppo, Czarena Crofcheck Jan 2017

Evaluation Of Flocculation, Sedimentation, And Filtration For Dewatering Of Scenedesmus Algae, Nicholas A. Rhea, Jack Groppo, Czarena Crofcheck

Biosystems and Agricultural Engineering Faculty Publications

Algae can be used as a feedstock for agricultural fertilizers, livestock and poultry feeds, anaerobic digestion, and biofuel production. For each end product, the requirements for moisture content (or solids content) vary, such that a desirable water removal strategy needs to be adaptable to varying levels of water removal. Flocculation, sedimentation, and filtration were evaluated as possible strategies for thickening and dewatering of algae. The goal of this study was to validate that algae cells treated by such means could be processed by vacuum belt filters and to determine the conditions under which the solids content could be increased to …


Metabolomic Profiling Of Chiari Malformation Type I: Comparison Of Bioinformatic Programs For Untargeted Analysis, Hunter W. Korsmo Jan 2017

Metabolomic Profiling Of Chiari Malformation Type I: Comparison Of Bioinformatic Programs For Untargeted Analysis, Hunter W. Korsmo

Williams Honors College, Honors Research Projects

Chiari Malformation Type I is a neurodegenerative trait that can result from disease or from acquiring. Metabolomic analysis was done on normal pressure hydrocephalous and Chiari CSF samples using LC-MS and multiple bioinformatic programs. After analysis from multiple programs, we were able to analyze the stringency in statistical algorithms done by each program and determined qualities that are shared between programs that offer multiple details. We identified dysregulation in glucuronated metabolites in CSF of Chiari versus NPH. Using LC-MS, we established the experimental MS/MS of glucuronic acid in attempt to identify similarities in mass-to-charge features primarily identified. We could not …


To Nudge Or Not To Nudge: Promoting Environmentally Beneficial Behaviors, Emma Jean Cooper Jan 2017

To Nudge Or Not To Nudge: Promoting Environmentally Beneficial Behaviors, Emma Jean Cooper

Bard Center for Environmental Policy

In order to mitigate the effects of climate change, humans need to change how they act toward the environment. Unfortunately, as much as we may want to act in ways that would be best for us and for the environment, we often struggle to do just that due to cognitive biases. Nudge theory attempts to remedy this problem by helping us make the decision that would be in our best interests. To explore this issue, I conduct an extended review of the literature to examine how well nudge theory can be applied to the realm of environmental policy. Specifically, I …


Addressing Antibiotic Resistance From Farm-Raised Fish Imported To The United States, Nicholas Ali Jan 2017

Addressing Antibiotic Resistance From Farm-Raised Fish Imported To The United States, Nicholas Ali

Bard Center for Environmental Policy

Misuse of medically important antibiotics in animal production threatens the effectiveness of drugs that are vital in combating disease and infections. Recently, the FDA implemented regulations to limit the use of and access to veterinary drugs. However, these regulations only affect domestic production operations. Because over 90% of seafood consumed in the U.S. is imported from countries with different regulatory standards and because the U.S. has an import inspection rate of less than 1%, antibiotic resistance stemming from imported aquaculture is still a risk that is not sufficiently accounted for. This research investigates how the U.S. has reacted to the …


Weight Perception And Weight Loss Behaviors: A Comparison Between Adolescents With And Without Autism Spectrum Disorder, Elanor J. Anderson Jan 2017

Weight Perception And Weight Loss Behaviors: A Comparison Between Adolescents With And Without Autism Spectrum Disorder, Elanor J. Anderson

Cal Poly Humboldt theses and projects

OBJECTIVE: The primary purpose of this study is to investigate the accuracy of weight status perception among adolescents with and without Autism Spectrum Disorder. A secondary purpose is to compare weight loss behaviors between children with and without ASD.

METHODS: This study measured weight-perception and weight loss behaviors among Irish-thirteen-year olds with ASD (n=47) and typically developing (TD) children (n=47) (72% male). Participants completed questionnaires assessing perception of weight and weight loss behaviors. . Based on BMI, calculated from height and weight measurements, participants were classified as non-overweight, overweight and obese. Several Chi-square tests were used to examine (1) differences …


Mixture Modeling With Applications In Alzheimer's Disease, Frank Appiah Jan 2017

Mixture Modeling With Applications In Alzheimer's Disease, Frank Appiah

Theses and Dissertations--Epidemiology and Biostatistics

This dissertation involves an application of mixture of regression models to 114 individuals who are cognitively intact (from the Alzheimer's Disease and Neuroimaging Initiative-ADNI, data). The correct number of components in the model were estimated with the Singular BIC (SBIC), marking the first time it has been applied to such a problem. The smallest true model in conjunction with the approximation of SBIC was fixed at 1. The resulting posterior probabilities from the model were used to estimate the probability of a person transitioning and risk plots were obtained that could in principle be used by clinicians to identify patients …


Utilizing Historical Mosquito Surveillance Data To Investigate The Efficacy Of Municipal Fogging In Controlling Mosquito Population Density, Andrea Betina Carzoli Jan 2017

Utilizing Historical Mosquito Surveillance Data To Investigate The Efficacy Of Municipal Fogging In Controlling Mosquito Population Density, Andrea Betina Carzoli

Open Access Theses & Dissertations

Background: Mosquito borne diseases are the cause of many different disease syndromes and deaths in animals, both wild and domesticated, and humans of all ages and ethnicities. Though El Paso, TX is located in an arid region, mosquito populations are still rapidly growing in urban and agricultural communities and so are the mosquito borne illnesses. The most common vectors associated with mosquito borne illnesses in El Paso County are Culex quinquefasciatus, Culex tarsalis, and Aedes aegypti. Vector management is often the primary option to prevent and control outbreaks of mosquito borne illnesses and very often utilize fogging as the primary …


Development Of Diverse Size And Shape Rna Nanoparticles And Investigation Of Their Physicochemical Properties For Optimized Drug Delivery, Daniel L. Jasinski Jan 2017

Development Of Diverse Size And Shape Rna Nanoparticles And Investigation Of Their Physicochemical Properties For Optimized Drug Delivery, Daniel L. Jasinski

Theses and Dissertations--Pharmacy

RNA nanotechnology is an emerging field that holds great promise for advancing drug delivery and materials science. Recently, RNA nanoparticles have seen increased use as an in vivo delivery system. RNA was once thought to have little potential for in vivo use due to biological and thermodynamic stability issues. However, these issues have been solved by: (1) Finding of a thermodynamically stable three-way junction (3WJ) motif; (2) Chemical modifications to RNA confer enzymatic stability in vivo; and (3) the finding that RNA nanoparticles exhibit low immunogenicity in vivo.

In vivo biodistribution and pharmacokinetics are affected by the physicochemical …


Blow Fly (Diptera: Calliphoridae) Responses To Different Colors Of Baited Traps, Oluwadamilola Olufunso Oke Jan 2017

Blow Fly (Diptera: Calliphoridae) Responses To Different Colors Of Baited Traps, Oluwadamilola Olufunso Oke

Honors College Theses

Blow flies (Diptera: Calliphoridae) are usually the first insects to colonize human remains. By determining the time of colonization, a postmortem interval (PMI), or “time of death”, can be estimated. To develop more accurate PMI estimates, it is important for forensic entomologists to understand the cues that Blow flies use to locate vertebrate remains. The purpose of this study was to determine whether Blow flies use visual cues, in addition to olfactory cues, to locate carrion. Two colors of fly traps, clear and green, were constructed and chicken gizzard used as bait. Three Blow fly species exhibited a significant preference …


Comparing Cmaq Forecasts With A Neural Network Forecast Model For Pm2.5 In New York, Samuel D. Lightstone, Fred Moshary, Barry Gross Jan 2017

Comparing Cmaq Forecasts With A Neural Network Forecast Model For Pm2.5 In New York, Samuel D. Lightstone, Fred Moshary, Barry Gross

Publications and Research

Human health is strongly affected by the concentration of fine particulate matter (PM2.5). The need to forecast unhealthy conditions has driven the development of Chemical Transport Models such as Community Multi-Scale Air Quality (CMAQ). These models attempt to simulate the complex dynamics of chemical transport by combined meteorology, emission inventories (EI’s), and gas/particle chemistry and dynamics. Ultimately, the goal is to establish useful forecasts that could provide vulnerable members of the population with warnings. In the simplest utilization, any forecast should focus on next day pollution levels, and should be provided by the end of the business day (5 p.m. …


Evaluation Of Levels Of Antibiotic Resistance In Groundwater-Derived E. Coli Isolates In The Midwest Of Ireland And Elucidation Of Potential Predictors Of Resistance, Jean O'Dwyer, Paul Hynds, Matthieu Pot, Catherine Adley, Michael Ryan Jan 2017

Evaluation Of Levels Of Antibiotic Resistance In Groundwater-Derived E. Coli Isolates In The Midwest Of Ireland And Elucidation Of Potential Predictors Of Resistance, Jean O'Dwyer, Paul Hynds, Matthieu Pot, Catherine Adley, Michael Ryan

Articles

Antibiotic-resistant (pathogenic and non-pathogenic) organisms and genes are now acknowledged as significant emerging aquatic contaminants with potentially adverse human and ecological health impacts, and thus require monitoring. This study is the first to investigate levels of resistance among Irish groundwater (private wells) samples; Escherichia coli isolates were examined against a panel of commonly prescribed human and veterinary therapeutic antibiotics, followed by determination of the causative factors of resistance. Overall, 42 confirmed E. coli isolates were recovered from a groundwater-sampling cohort. Resistance to the human panel of antibiotics was moderate; nine (21.4%) E. coli isolates demonstrated resistance to one or more …


Managing Operator Mental Workload With Standards Based Decision Support, Maurice Wilkins Jan 2017

Managing Operator Mental Workload With Standards Based Decision Support, Maurice Wilkins

H-Workload 2017: Models and Applications (Works in Progress)

H-Workload 2017: The first international symposium on human mental workload, Dublin Institute of Technology, Dublin, Ireland, June 28-30.


Moving Between Automated And Manual Driving: Mental Workload And Performance Implications, Totsapon Butmee, Terry C. Lansdown Jan 2017

Moving Between Automated And Manual Driving: Mental Workload And Performance Implications, Totsapon Butmee, Terry C. Lansdown

H-Workload 2017: Models and Applications (Works in Progress)

Automated driving has been predicted to take-over from manual vehicle control in the near future. The driver’s role may then change from active operator to passive observer. Such technology offers the tantalising promise of improving driving safety. However, many studies have presented findings suggesting potentially adverse effects from automated driving systems, e.g., reduced situation awareness. Mental workload is also a key issue of concern for researchers in this area. Excessive mental workload has repeatedly been shown to be associated with degraded driving performance. Previously, most traffic psychology studies on mental workload have focused the manual driving task. However, a shift …


Distress And Worry As Mediators In The Relationship Between Psychosocial Risks And Upper Body Musculosketal Complaints In Highly Automated Manufacturing, Fiona Wixted, Leonard O'Sullivan Jan 2017

Distress And Worry As Mediators In The Relationship Between Psychosocial Risks And Upper Body Musculosketal Complaints In Highly Automated Manufacturing, Fiona Wixted, Leonard O'Sullivan

H-Workload 2017: Models and Applications (Works in Progress)

As a result of an upward trend in automation, the requirement for supervisory monitoring and consequently, cognitive demand has increased in automated manufacturing. The incidence of musculoskeletal disorders has also increased in the manufacturing sector. A model was developed based on survey data to test if distress and worry mediate the relationship between psychosocial factors (job control, cognitive demand, social isolation and skill discretion), stress states and upper body musculoskeletal complaints in highly automated manufacturing companies (n=235). Cognitive demand was shown to be related to higher distress in employees. The data raise the question about the link between job control …


Towards A Continuous Assessment Of Cognitive Workload For Smartphone Multitasking Users, Angel Jimenez-Molina, Hernan Lira Jan 2017

Towards A Continuous Assessment Of Cognitive Workload For Smartphone Multitasking Users, Angel Jimenez-Molina, Hernan Lira

H-Workload 2017: Models and Applications (Works in Progress)

The intermeshing of Smartphone interactions and daily activities depletes the availability of cognitive resources. This excessive demand may lead to several undesirable cognitive states, which can be avoided by continuously assessing the user cognitive workload. Recently, many attempts have emerged to assess this workload by using psycho physiological signals. This paper provides evidence that it is possible to train models that accurately identify in short time windows such cognitive workload by processing heart rate and blood oxygen saturation signals. This assessment could be applied in Smartphone notification delivery, interface adaptations or cognitive capabilities evaluation.


Human Performance Modelling In Manufacturing: Mental Workload And Task Complexity, Maria Chiara Leva, Lorenzo Comberti, Micaela Demichela, Rebecca Duane Jan 2017

Human Performance Modelling In Manufacturing: Mental Workload And Task Complexity, Maria Chiara Leva, Lorenzo Comberti, Micaela Demichela, Rebecca Duane

H-Workload 2017: Models and Applications (Works in Progress)

No abstract provided.


Facing Human Workload: The Resilient Ego: A Psychoanalytic Point Of View, Glauco Maria Genga, Maria Gabriella Pediconii Jan 2017

Facing Human Workload: The Resilient Ego: A Psychoanalytic Point Of View, Glauco Maria Genga, Maria Gabriella Pediconii

H-Workload 2017: Models and Applications (Works in Progress)

The paper aims to show new connections among Human Factors, Human Workload and Resilience. We intend: 1) to highlight the role of subject in facing the human workload, inflected as demanding tasks and emergency situations; 2) to show how psychoanalysis can provide novel insights, not only into human errors, but also into human resilience. They have a common denominator, at least in part: the role of subjective contributions even in demanding situations. Human workload includes a work for satisfaction. We recall also the case study of US Airways Flight 1549 water landing (the so called “Miracle on the Hudson”), which …


System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung Jan 2017

System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung

H-Workload 2017: Models and Applications (Works in Progress)

Fall prevention for geriatric populations is a growing concern among clinicians and researchers due to severe risk of morbidity and loss of independence. Emerging evidence has demonstrated that mental workload while walking influences gait stability and the risk for falling. Electroencephalography (EEG) presents a potential method to provide objective measures of mental workload, particularly during daily activities. Noise introduced to the EEG signal during motion, however, is restrictive. The study presented in the following paper isolates EEG signal noise attained from gait for a commercially accessible EEG system, the "Emotiv" Time and spectral system identification techniques were applied to model …


Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas Jan 2017

Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas

H-Workload 2017: Models and Applications (Works in Progress)

This paper present a proposal for measuring available mental resources during the accomplishment of a task. Our proposal consists in measuring emotions provoked by perceived self-efficacy in the execution of the task. Self-efficacy is one of the most important factors that affect the resources that a person puts at the disposal of the execution of the task. When a person perceives that he/she is not being effective he/she will activate more resources to improve his performance. This self-efficacy will be reflected in the emotions that the person experiences. A good efficacy will provoke positive emotions and a bad efficacy negative …


A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans Jan 2017

A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans

H-Workload 2017: Models and Applications (Works in Progress)

The introduction of systems such as Traffic Management (TM) will result in a number of changes in how the railway is managed for operations and maintenance staff such as, an increase in collaborative working styles and shared responsibilities. In order to react to these changing operational demands and user needs, TM workstation designs need to have greater flexibility and be configurable to support the information requirements for each specific role as well as support each role during different scenarios. Although this flexibility in system design has the potential to enhance performance, it increases the complexity of measuring operator workload. The …


A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs Jan 2017

A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs

H-Workload 2017: Models and Applications (Works in Progress)

What is the impact of shifting to remote tower operations on the Air Traffic Controller? In the joint HungaroControl-Netherlands Aerospace Centre NLR pilot project an assessment of bio-behaviour on three air traffic controllers was made in a remote tower and conventional tower. The research is motivated by HungaroControl’s plans in shifting to remote tower operations at Budapest airport in the upcoming years. This pilot project is considered a feasibility study to investigate if an eye tracker and a heart rate sensor can be used to derive workload, the controllers’ division of attention over information elements, and scanning strategies in two …


Use Of Sex-Specific Clinical And Exercise Risk Scores To Identify Patients At Increased Risk For All-Cause Mortality, Paul C. Cremer, Yuping Wu, Haitham M. Ahmed, Lee M. Pierson, Danielle M. Brennan, Mouaz H. Al-Mallah, Clinton A. Brawner, Jonathan K. Ehrman, Steven J. Keteyian, Roger S. Blumenthal, Michael J. Blaha, Leslie Cho Jan 2017

Use Of Sex-Specific Clinical And Exercise Risk Scores To Identify Patients At Increased Risk For All-Cause Mortality, Paul C. Cremer, Yuping Wu, Haitham M. Ahmed, Lee M. Pierson, Danielle M. Brennan, Mouaz H. Al-Mallah, Clinton A. Brawner, Jonathan K. Ehrman, Steven J. Keteyian, Roger S. Blumenthal, Michael J. Blaha, Leslie Cho

Mathematics and Statistics Faculty Publications

Importance Risk assessment tools for exercise treadmill testing may have limited external validity. Cardiovascular mortality has decreased in recent decades, and women have been underrepresented in prior cohorts.

Objectives To determine whether exercise and clinical variables are associated with differential mortality outcomes in men and women and to assess whether sex-specific risk scores better estimate all-cause mortality.

Design, Setting, and Participants This retrospective cohort study included 59 877 patients seen at the Cleveland Clinic Foundation (CCF cohort) from January 1, 2000, through December 31, 2010, and 49 278 patients seen at the Henry Ford Hospital (FIT cohort) from January 1, …


Weighted Quantile Sum Regression For Analyzing Correlated Predictors Acting Through A Mediation Pathway On A Biological Outcome, Bhanu M. Evani Jan 2017

Weighted Quantile Sum Regression For Analyzing Correlated Predictors Acting Through A Mediation Pathway On A Biological Outcome, Bhanu M. Evani

Theses and Dissertations

Abstract

Weighted Quantile Sum Regression for Analyzing Correlated Predictors Acting Through a Mediation Pathway on a Biological Outcome

By

Bhanu M. Evani, Ph.D.

A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at Virginia Commonwealth University.

Virginia Commonwealth University, 2017.

Major Director: Robert A. Perera, Asst. Professor, Department of Biostatistics

This work examines mediated effects of a set of correlated predictors using the recently developed Weighted Quantile Sum (WQS) regression method. Traditionally, mediation analysis has been conducted using the multiple regression method, first proposed by Baron and Kenny (1986), which has since …


Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin Jan 2017

Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin

Walden Dissertations and Doctoral Studies

The Internet of things (IoT) is a technology that will enable machine-to-machine communication and eventually set the stage for self-driving cars, smart cities, and remote care for patients. However, some barriers that organizations face prevent them from the adoption of IoT. The purpose of this qualitative exploratory case study was to explore strategies that organization information technology (IT) leaders use for security, privacy, and reliability to enable the adoption of IoT devices. The study population included organization IT leaders who had knowledge or perceptions of security, privacy, and reliability strategies to adopt IoT at an organization in the eastern region …


Knowledge And Barriers To Safe Disposal Of Pharmaceutical Products Entering The Environment, Aldo Francesco Fidora Jan 2017

Knowledge And Barriers To Safe Disposal Of Pharmaceutical Products Entering The Environment, Aldo Francesco Fidora

Walden Dissertations and Doctoral Studies

The use of pharmaceutical products has steadily increased in the United States from 2 billion prescriptions in 1999 to 3.9 billion in 2009. Half of patients do not comply with the recommended prescription regimen and dispose of unused drugs in the environment. The U.S. Environmental Protection Agency and many researchers have highlighted the human-health risks associated with improperly disposing of pharmaceutical products. This quantitative cross-sectional study examined the potential correlations between people's actual disposal practices and their knowledge of the impact of disposal practices on the environment and human health, and availability of disposal options. The conceptual framework selected for …