Current Search: Diagnosis (x)
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Title
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The Assessment of Functional Abilities in the Diagnosis of MCI and Dementia in a Culturally Diverse Sample.
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Creator
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Arruda, Fernanda Ponce de Leon, Rosselli, Monica, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
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Abstract/Description
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Previous studies suggested that the Functional Activities Questionnaire (FAQ-10) has minimal ethnic bias and that a shorter version (FAQ-6) can equally diagnose MCI and dementia. Objective: We analyzed whether FAQ-6 is similar to FAQ-10 in diagnosing MCI and dementia. We examined their applicability across European Americans (EA) and Hispanic Americans, and how scores correlated to beta amyloid. Method: 222 participants (116 EA) completed a neuropsychological battery, FAQ, and PET scans, and...
Show morePrevious studies suggested that the Functional Activities Questionnaire (FAQ-10) has minimal ethnic bias and that a shorter version (FAQ-6) can equally diagnose MCI and dementia. Objective: We analyzed whether FAQ-6 is similar to FAQ-10 in diagnosing MCI and dementia. We examined their applicability across European Americans (EA) and Hispanic Americans, and how scores correlated to beta amyloid. Method: 222 participants (116 EA) completed a neuropsychological battery, FAQ, and PET scans, and were classified as cognitively normal (CN), MCI, or dementia. The diagnostic capacity of FAQ-10 and FAQ-6 were compared for the total sample and across ethnic groups. Scores were correlated to beta amyloid. Results: Both versions showed good item discrimination. Ethnicity did not affect scores when controlling for diagnosis and education. Both versions classified CN and dementia, and positively correlated to beta amyloid. Conclusions: Results suggest FAQ-6 and FAQ-10 similarly predict diagnosis and is adequate in these ethnic groups.
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Date Issued
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2018
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PURL
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http://purl.flvc.org/fau/fd/FA00013141
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Subject Headings
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Dementia--diagnosis, Cognitive Dysfunction--diagnosis, Bias, Functional assessment
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Format
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Document (PDF)
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Title
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Cloud-based Skin Lesion Diagnosis System using Convolutional Neural Networks.
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Creator
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Akar, Esad, Furht, Borko, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Skin cancer is a major medical problem. If not detected early enough, skin cancer like melanoma can turn fatal. As a result, early detection of skin cancer, like other types of cancer, is key for survival. In recent times, deep learning methods have been explored to create improved skin lesion diagnosis tools. In some cases, the accuracy of these methods has reached dermatologist level of accuracy. For this thesis, a full-fledged cloud-based diagnosis system powered by convolutional neural...
Show moreSkin cancer is a major medical problem. If not detected early enough, skin cancer like melanoma can turn fatal. As a result, early detection of skin cancer, like other types of cancer, is key for survival. In recent times, deep learning methods have been explored to create improved skin lesion diagnosis tools. In some cases, the accuracy of these methods has reached dermatologist level of accuracy. For this thesis, a full-fledged cloud-based diagnosis system powered by convolutional neural networks (CNNs) with near dermatologist level accuracy has been designed and implemented in part to increase early detection of skin cancer. A large range of client devices can connect to the system to upload digital lesion images and request diagnosis results from the diagnosis pipeline. The diagnosis is handled by a two-stage CNN pipeline hosted on a server where a preliminary CNN performs quality check on user requests, and a diagnosis CNN that outputs lesion predictions.
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Date Issued
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2018
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PURL
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http://purl.flvc.org/fau/fd/FA00013150
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Subject Headings
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Skin Diseases--diagnosis, Skin--Cancer--Diagnosis, Diagnosis--Methodology, Neural networks, Cloud computing
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Format
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Document (PDF)
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Title
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A body area network as a pre-screening surrogate to the polysomnography.
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Creator
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LaFleur, Sheryl, Mahgoub, Imad, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Out of 60 million Americans suffering from sleep disorder, an estimated 18 million have sleep apnea. According to the U.S. Department of Health & Human Services, sleep apnea is a chronic condition that disrupts a patient’s sleep. While the annual cost of treating sleep apnea patients in the United States is approximately $3.18 billion (including screening costs) it is estimated that untreated sleep apnea may cause $3.4 billion in additional medical costs. A polysomnography (PSG) is an all...
Show moreOut of 60 million Americans suffering from sleep disorder, an estimated 18 million have sleep apnea. According to the U.S. Department of Health & Human Services, sleep apnea is a chronic condition that disrupts a patient’s sleep. While the annual cost of treating sleep apnea patients in the United States is approximately $3.18 billion (including screening costs) it is estimated that untreated sleep apnea may cause $3.4 billion in additional medical costs. A polysomnography (PSG) is an all-night sleep study which monitors various physical functions during sleep including electrical activity of the heart, brain wave patterns, eye movement, muscle tone, body movements, and breathing. It is currently, the most accurate and sophisticated test for the diagnosis of sleep-disordered breathing (SDB), but also, the most expensive. The cost of an overnight sleep study is estimated between $900 and $3,000. In addition, the PSG is not mobile and has to be administered outside a patient’s home. The Long QT Syndrome (LQTS) is a rhythm disorder that causes erratic (unpredictable) heartbeats. The LQTS has been linked to patients with the most severe form of sleep apnea. If LQTS is left untreated, sudden cardiac death may occur.
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Date Issued
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2014
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PURL
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http://purl.flvc.org/fau/fd/FA00004300
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Subject Headings
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Neurophysiology, Nevous system -- Diseases -- Diagnosis, Polysomnography, Sleep -- Physiological aspects, Sleep apnea syndromes -- Diagnosis, Sleep disorders -- Diagnosis
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Format
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Document (PDF)
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Title
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Recognizing Functional Decline in Persons with MCI (Mild Cognitive Impairment).
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Creator
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Powers-Jarvis, Robin Story, Tappen, Ruth M., Florida Atlantic University, Christine E. Lynn College of Nursing
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Abstract/Description
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Although not all persons with mild cognitive impairment (MCI) go on to develop Alzheimer's disease (AD), MCI is recognized as an early stage of AD. The effects of AD are devastating to all concerned. Research has identified that recognition of AD in its earliest stages and institution of known treatment modalities can forestall the ultimate outcome. Identification of the first subtle signs of MCI can assist in the recognition of this prodromal phase, and allow for institution of therapy while...
Show moreAlthough not all persons with mild cognitive impairment (MCI) go on to develop Alzheimer's disease (AD), MCI is recognized as an early stage of AD. The effects of AD are devastating to all concerned. Research has identified that recognition of AD in its earliest stages and institution of known treatment modalities can forestall the ultimate outcome. Identification of the first subtle signs of MCI can assist in the recognition of this prodromal phase, and allow for institution of therapy while still in the initial stages. Unfortunately, the development of MCI is insidious in nature, thus making it difficult to detect. The purpose of this study was to identify areas of functional decline that occur in MCI in an effort to improve its early identification. A mixed-methods design that combined qualitative and quantitative methods was used. Fifty-three participants with memory complaints were interviewed using a semi structured interview technique with open-ended questions, the Montreal Cognitive Assessment (MoCA), the Geriatric Depression Scale (GDS) and a list of eighty-five items previously identified as indicative of functional decline. Twenty-nine persons were divided into two groups: 1) those identified as probable MCI (consensus diagnosis) (n=15) and possible MCI (based on screening examination) (n=14) and 2) those identified as Normal (no cognitive impairment) (n=10), and their subjective functional deficits compared. The findings suggest that there were certain areas of functional decline more commonly experienced by persons in the MCI group than by unimpaired. These include difficulty recalling details of information and forgetting conversations. There were also other changes identified, such as adaptations on the part of persons with MCI (an increased dependence on memory aids, for example, lists and calendars) and a dec rease in social activities leading to an increase in social isolation. Additionally identified were functional activities that appear to remain intact in persons with early MCI. This study highlights the subtlety with which MCI assaults the functional abilities of individuals, thus making its early identification problematic. The results of this study will contribute by providing information that will help professionals who are assessing persons experiencing memory issues for the possible presence of MCI. Additionally, it is hoped that these findings will assist in the development of a measurement tool designed to assess for possible MCI.
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Date Issued
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2015
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PURL
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http://purl.flvc.org/fau/fd/FA00004536
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Subject Headings
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Alzheimer's disease -- Diagnosis, Amnestic mild cognitive impairment -- Diagnosis, Dementia -- Diagnosis, Memory disorders in old age -- Diagnosis, Mild cognitive impairment -- Diagnosis
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Format
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Document (PDF)
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Title
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DEVELOPMENT OF AN ALGORITHM TO GUIDE A MULTI-POLE DIAGNOSTIC CATHETER FOR IDENTIFYING THE LOCATION OF ATRIAL FIBRILLATION SOURCES.
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Creator
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Ganesan, Prasanth, Ghoraani, Behnaz, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Atrial Fibrillation (AF) is a debilitating heart rhythm disorder affecting over 2.7 million people in the US and over 30 million people worldwide annually. It has a high correlation with causing a stroke and several other risk factors, resulting in increased mortality and morbidity rate. Currently, the non-pharmocological therapy followed to control AF is catheter ablation, in which the tissue surrounding the pulmonary veins (PVs) is cauterized (called the PV isolation - PVI procedure) aims...
Show moreAtrial Fibrillation (AF) is a debilitating heart rhythm disorder affecting over 2.7 million people in the US and over 30 million people worldwide annually. It has a high correlation with causing a stroke and several other risk factors, resulting in increased mortality and morbidity rate. Currently, the non-pharmocological therapy followed to control AF is catheter ablation, in which the tissue surrounding the pulmonary veins (PVs) is cauterized (called the PV isolation - PVI procedure) aims to block the ectopic triggers originating from the PVs from entering the atrium. However, the success rate of PVI with or without other anatomy-based lesions is only 50%-60%. A major reason for the suboptimal success rate is the failure to eliminate patientspecific non-PV sources present in the left atrium (LA), namely reentry source (a.k.a. rotor source) and focal source (a.k.a. point source). It has been shown from several animal and human studies that locating and ablating these sources significantly improves the long-term success rate of the ablation procedure. However, current technologies to locate these sources posses limitations with resolution, additional/special hardware requirements, etc. In this dissertation, the goal is to develop an efficient algorithm to locate AF reentry and focal sources using electrograms recorded from a conventionally used high-resolution multi-pole diagnostic catheter.
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Date Issued
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2019
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PURL
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http://purl.flvc.org/fau/fd/FA00013310
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Subject Headings
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Atrial Fibrillation--diagnosis, Algorithm, Catheter ablation
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Format
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Document (PDF)
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Title
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THE RELATIONSHIP BETWEEN SKEPTICISM AND KNOWLEDGE AND ACCURATE DIAGNOSIS OF DISSOCIATIVE IDENTITY DISORDER BY LICENSED CLINICAL SOCIAL WORKERS.
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Creator
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Epstein, Rochelle M., Gonzalez, Manny J., Florida Atlantic University, School of Social Work, College of Social Work and Criminal Justice
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Abstract/Description
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This study aimed to examine the relationship between licensed clinical social workers' (LCSWs) skepticism and knowledge about dissociative identity disorder (DID) and their accurate diagnosis of the disorder as moderated by specialized training about DID and/or postmaster’s experience with diagnosis and treatment of the disorder. The following research questions guided the study. • RQ1a. Is there a relationship between LCSWs’ level of skepticism and level of knowledge about DID. • RQ1b. Is...
Show moreThis study aimed to examine the relationship between licensed clinical social workers' (LCSWs) skepticism and knowledge about dissociative identity disorder (DID) and their accurate diagnosis of the disorder as moderated by specialized training about DID and/or postmaster’s experience with diagnosis and treatment of the disorder. The following research questions guided the study. • RQ1a. Is there a relationship between LCSWs’ level of skepticism and level of knowledge about DID. • RQ1b. Is there a relationship between LCSWs’ level of skepticism and accurate diagnosis of the disorder? • RQ1c. Is there a relationship between LCSWs’ level of knowledge about DID and accurate diagnosis of the disorder? • RQ2a. Does specialized training about DID affect the diagnostic accuracy of the disorder? • RQ2b. Does post-master’s clinical experience with diagnosing and treating DID affect the diagnostic accuracy of the disorder? Using a cross-sectional research design and informed by philosophical underpinnings of epistemology and skepticism and Kahneman’s model of diagnostic reasoning (Kahneman, 2011), the data for this study were collected via an online survey of randomly selected LCSWs (N=85) in Florida. The survey consisted of a diagnostic vignette with a very short answer (VSA) response, the Skepticism and Knowledge Scales (SKS) comprising 11 items that assess skepticism, six items that assess knowledge, and 13 distractor items (Hayes & Mitchell, 1994), and a demographic questionnaire with 12 items, two of which quantified specialized training about and clinical experience with DID.
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Date Issued
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2023
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PURL
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http://purl.flvc.org/fau/fd/FA00014306
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Subject Headings
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Dissociative Identity Disorder, Clinical sociology, Diagnosis
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Format
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Document (PDF)
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Title
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Individual profiling of perceived tinnitus by developing tinnitus analyzer software.
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Creator
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Chaudbury, Baishali., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Tinnitus is a conscious perception of phantom sounds in the absence of external acoustic stimuli, and masking is one of the popular ways to treat it. Due to the variation in the perceived tinnitus sound from patient to patient, the usefulness of masking therapy cannot be generalized. Thus, it is important to first determine the feasibility of masking therapy on a particular patient, by quantifying the tinnitus sound, and then generate an appropriate masking signal. This paper aims to achieve...
Show moreTinnitus is a conscious perception of phantom sounds in the absence of external acoustic stimuli, and masking is one of the popular ways to treat it. Due to the variation in the perceived tinnitus sound from patient to patient, the usefulness of masking therapy cannot be generalized. Thus, it is important to first determine the feasibility of masking therapy on a particular patient, by quantifying the tinnitus sound, and then generate an appropriate masking signal. This paper aims to achieve this kind of individual profiling by developing interactive software -Tinnitus Analyzer, based on clinical approach. The developed software has been proposed to be used in place of traditional clinical methods and this software (as a part of the future work) will be implemented in the practical scenario involving real tinnitus patients.
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Date Issued
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2010
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PURL
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http://purl.flvc.org/FAU/1927612
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Subject Headings
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Medical care, Technological innovations, Tinnitus, Diagnosis, Aids and devices, Hearing disorders, Diagnosis, Technological innovations, Psychoacoustics, Research
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Format
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Document (PDF)
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Title
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Mechanisms of Placental Dysfunction in Pregnancy Malaria.
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Creator
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Lybbert, Jared, Oleinikov, Andrew V., Florida Atlantic University, Charles E. Schmidt College of Medicine, Department of Biomedical Science
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Abstract/Description
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The molecular mechanisms by which pregnancy malaria affects the outcome of fetal development are unknown. Megalin, which has been well studied in kidney, has high expression in the placenta from early stages to term, and is proposed to be an important factor in extensive maternofetal exchange during development of the fetus. Pregnancy malaria (PM) is characterized by inflammation in placenta and is associated with low birthweight (LBW), stillborn birth, and other pathologies. It is...
Show moreThe molecular mechanisms by which pregnancy malaria affects the outcome of fetal development are unknown. Megalin, which has been well studied in kidney, has high expression in the placenta from early stages to term, and is proposed to be an important factor in extensive maternofetal exchange during development of the fetus. Pregnancy malaria (PM) is characterized by inflammation in placenta and is associated with low birthweight (LBW), stillborn birth, and other pathologies. It is hypothesized that PM disturbs megalin function/expression/distribution in the brush boarder of syncytiotrophoblast which, in turn, may contribute significantly to pathology of LBW. Our studies show that the presence of infected erythrocytes in placenta at the time of delivery negatively affects protein abundance for megalin and Dab2. This is the first report associating the abundance of placental megalin system proteins with the birth weight of newborn babies, and associating PM with changes in megalin system protein abundance.
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Date Issued
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2015
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PURL
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http://purl.flvc.org/fau/fd/FA00004520, http://purl.flvc.org/fau/fd/FA00004520
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Subject Headings
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Birth weight, Low, Critical care medicine, Fetus -- Diseases -- Molecular diagnosis, Pregnancy -- Complications, Prenatal diagnosis, Stillbirth
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Format
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Document (PDF)
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Title
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A noninvasive technique for early detection of atherosclerosis using the impedance plethysmograph: Longitudinal study on cynomolgus monkeys.
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Creator
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Kolluri, Sai M. S., Florida Atlantic University, Shankar, Ravi, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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This study evaluates the use of an electrical impedance plethysmograph as a noninvasive technique for early detection of atherosclerosis. The instrument is inexpensive, easily portable and causes no health risks. Thus, the system is ideally suited for mass screemng and epidemiological studies, if proven to be effective. We have conducted experiments usmg a three-channel impedance plethysmograph once every 8 - 10 weeks on a colony of 20 male cynomolgus monkeys (macaca fascicularis). Five...
Show moreThis study evaluates the use of an electrical impedance plethysmograph as a noninvasive technique for early detection of atherosclerosis. The instrument is inexpensive, easily portable and causes no health risks. Thus, the system is ideally suited for mass screemng and epidemiological studies, if proven to be effective. We have conducted experiments usmg a three-channel impedance plethysmograph once every 8 - 10 weeks on a colony of 20 male cynomolgus monkeys (macaca fascicularis). Five monkeys were on a control diet (monkey chow) and fifteen on a high cholesterol diet (1 mg cholesterol/Kcal with 40% of the calories derived from fat). The diet period for the monkeys ranged from 16-28 months (25 months typically). We wrapped a pressure cuff with one pair of electrodes around the upper left leg of the monkey. Two other sets of electrodes were wrapped, one distal to the pressure cuff on the lower left leg and the other as reference on the upper arm. We measured impedance pulses at these three different sites simultaneously using a three channel impedance plethysmograph. The signals were recorded when the pressure in the pressure cuff was changed from 200 mm Hg to 20 mm Hg in steps of 10 mm Hg. Arterial volume change was evaluated from this. Experiments were repeated with the cuffed segment on the right leg, and then on the left arm. The arterial volume change vs cuff pressure (V- Pc) characteristics were used to follow the progression of the disease. The V- Pc characteristic, initially with a well defined peak, changed to a flatter characteristic with increased period on the cholesterol diet. Monkeys on the control diet showed no flattening of the curve with time. In order to understand theoretically the effect of disease on the compliance - transmural pressure (C-Pt) characteristic (and hence V - Pc characteristic), we developed an arterial model to study the pressure - radius relationship of an artery under different disease states. We have also developed an expression for the equivalent incremental modulus of elasticity based on the incremental modulus of elasticity of the individual arterial wall layers. The resulting expressions were used to study the effect of increase in stenosis and calcification on the V - Pc and C-Pt characteristics. The simulation results obtained using the arterial model match our experimentally observed data of decrease m peak compliance with disease. The peak compliance was seen to decrease m amplitude and shift left (towards decreasing transmural pressure) as the artery got thicker with atherosclerotic disease. The V - Pc characteristic, initially with a well defined peak, got flatter with disease. Our simulation results lead us to believe that the noninvasive technique 1s sensitive enough to follow progressiOn of the atherosclerotic disease. Morphometric and histochemical data were collected subsequent to the sacrifice of the monkeys. Evaluation of these data and correlations with our compliance data will lead us to a more definitive statement on the method's sensitivity. This however, is beyond the scope of this dissertation.
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Date Issued
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1991
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PURL
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http://purl.flvc.org/fcla/dt/12281
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Subject Headings
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Impedance plethysmography, Atherosclerosis--Diagnosis, Atherosclerosis--Animal models, Impedance, Bioelectric, Diagnosis, Noninvasive
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Format
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Document (PDF)
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Title
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Thyone tanyspeira, a new species of sea cucumber from the southern Caribbean Sea (Echinodermata: Holothuroidea).
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Creator
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Pawson, David L., Miller, John E., Harbor Branch Oceanographic Institute
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Date Issued
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1988
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PURL
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http://purl.flvc.org/FCLA/DT/3173009
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Subject Headings
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Sea cucumbers, Sea cucumbers --Identification, Species, Diagnosis, Gonads
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Format
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Document (PDF)
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Title
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Antecedent selection: The use of simplified speech versus typical speech in discrete trial teaching formats.
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Creator
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Brown, Mapy Chavez., Florida Atlantic University, Scott, Jack
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Abstract/Description
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Research has shown that applied behavior analysis is an effective methodology for instruction of children with autism. Furthermore, recent research has indicated a direct correlation between autism severity level and response accuracy under different verbal discriminative stimulus conditions used in the antecedent portion of a discrete instructional trial. This study was conducted to further investigate the relationship between autism severity level and response accuracy under different...
Show moreResearch has shown that applied behavior analysis is an effective methodology for instruction of children with autism. Furthermore, recent research has indicated a direct correlation between autism severity level and response accuracy under different verbal discriminative stimulus conditions used in the antecedent portion of a discrete instructional trial. This study was conducted to further investigate the relationship between autism severity level and response accuracy under different verbal discriminative stimulus conditions using the Gilliam Autism Rating Scale (GARS) to measure the autism severity of four prekindergarten students who were being served in home-based applied behavior analysis programs. Response accuracy was assessed under two experimental conditions for each participant: simplified speech and typical speech, using an alternating treatments design. These results are presented and discussed in relation to improving the effectiveness of early intervention program.
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Date Issued
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2001
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PURL
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http://purl.flvc.org/fcla/dt/12734
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Subject Headings
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Autistic children--Behavior modification, Autism in children--Diagnosis
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Format
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Document (PDF)
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Title
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A DATA ACQUISITION AND PROCESSING SYSTEM FOR THE STUDY OF PERIPHERAL VASCULAR DYNAMICS.
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Creator
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CIKIKCI, ISMAIL OGUZ., Florida Atlantic University, Shankar, Ravi
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Abstract/Description
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In this study, electrical impedance plethysmograph was used to measure the nonlinear elastic properties of the leg arteries. Two methods were used. In method one, a pressure cuff was wrapped around the lower leg and the recordings were made from under the cuff. Also a second set of recordings were made at a site distal to the cuff, to determine the attenuation of blood pressure pulse by the cuff at cuff pressures above diastolic. In method 2 an Inverter was used and recordings were made from...
Show moreIn this study, electrical impedance plethysmograph was used to measure the nonlinear elastic properties of the leg arteries. Two methods were used. In method one, a pressure cuff was wrapped around the lower leg and the recordings were made from under the cuff. Also a second set of recordings were made at a site distal to the cuff, to determine the attenuation of blood pressure pulse by the cuff at cuff pressures above diastolic. In method 2 an Inverter was used and recordings were made from the same segment. Also recordings were made from the upper arm at the heart level to define the blood pressure pulse, that causes the volume change in the leg arteries. A wide range of pressures were used and V-P and compliance curves were calculated with both the methods. In order to improve the accuracy and reduce operator errors, a personal computer based data acquisition and processing system was developed.
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Date Issued
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1986
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PURL
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http://purl.flvc.org/fcla/dt/14338
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Subject Headings
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Arteries, Electronic data processing--Medicine, Diagnosis, Noninvasive
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Format
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Document (PDF)
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Title
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TRIIODOTHYRONEMIA - DISTINGUISHING THE HYPOTHYROID PATIENT FROM NON-THYROIDAL ILLNESS.
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Creator
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Butler, Cynthia W., Florida Atlantic University, Clark, Samuel F.
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Abstract/Description
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Non-thyroidal illness (NTI) is frequently characterized by triiodothyronemia (low T3) and abnormal thyroid function tests. This could result in an incorrect diagnosis of hypothyroidism. The purpose of this study was to determine which thyroid function test or group of tests could be used to identify those euthyroid patients with NTI. A total of seventy patients with triiodothyronemia were clinically evaluated and tested for: total T4 , normalized T4, "free'' T4, total T3, reverse T3 , T3...
Show moreNon-thyroidal illness (NTI) is frequently characterized by triiodothyronemia (low T3) and abnormal thyroid function tests. This could result in an incorrect diagnosis of hypothyroidism. The purpose of this study was to determine which thyroid function test or group of tests could be used to identify those euthyroid patients with NTI. A total of seventy patients with triiodothyronemia were clinically evaluated and tested for: total T4 , normalized T4, "free'' T4, total T3, reverse T3 , T3 uptake, free thyroxine index, and TSH. Commercially available radioassay kits were used in testing. The patients were separated into four groups: primary hypothyroid, secondary hypothyroid, hypothyroid with NTI, and euthyroid with NTI. The results correctly identified the primary and secondary hypothyroid patients and those hypothyroid patients with NTI. The normalized T4 test accurately identified those euthyroid patients with NTI and triiodothyronemia 94 percent of the time.
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Date Issued
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1982
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PURL
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http://purl.flvc.org/fcla/dt/14105
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Subject Headings
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Thyroid gland--Diseases--Diagnosis, Thyroid gland function tests
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Format
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Document (PDF)
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Title
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Measurement of brain activity using an ultrasonic measure of localized blood flow.
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Creator
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Dinev, Petko Dimitrov., Florida Atlantic University, Glenn, William E., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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This dissertation presents a new type of two-dimensional, real time, color ultrasonic scanner able to measure and display brain metabolism by monitoring amplitudes of localized changes of intracranial interfaces. A real time image is obtained with a flexible array of transducers which eliminates the strong reflection from the skull due to a shape mismatch, and reduces the topological mislocations in the image. The image is generated by a superposition of a gray scale image representing static...
Show moreThis dissertation presents a new type of two-dimensional, real time, color ultrasonic scanner able to measure and display brain metabolism by monitoring amplitudes of localized changes of intracranial interfaces. A real time image is obtained with a flexible array of transducers which eliminates the strong reflection from the skull due to a shape mismatch, and reduces the topological mislocations in the image. The image is generated by a superposition of a gray scale image representing static structures, and a color coded pattern representing motion information. The new technique of motion detection based on image subtraction features high accuracy and gives the scanner the unique capability to detect multidirectional motion of the intracranial interfaces, and to display the amplitude of the motion in real time. A series of experiments performed with the scanner demonstrates outstanding agreement between theoretical design and hardware performance. The scanner has been measured to have a lateral resolution of 4 mm, a temporal resolution of 30 fr/s, a motion detection resolution of 5 $\mu$m, a time gain compensation of 40 dB, and a signal/noise ratio of more than 40 dB. Successful tests, performed on a live human brain, show a well defined echo pattern arising from intracranial structures within the brain, and a strong correlation between the detected surface pulsations and heart beat has been observed. Monitoring the image synchronously with the heart beat and the external stimulus presence gives clinicians the unique opportunity of visualization of detailed cross-sectional anatomy of portions of the human brain, permitting direct observation, mapping the structure and function in a normal human brain, and studying the pathophysiology of mental illness by demonstrating structural metabolic, and neurochemical abnormalities. Additional experiments, performed on other parts of the human body, demonstrated clearly the advanced features of the scanner and its successful application to other areas of medicine beyond neurology. Furthermore, this new real time, two-dimensional brain scanner will be suitable for remote diagnosis and consultation, and long-distance delivery of quality health care via teleconferencing and telecommunication equipment. The modular design of the scanner allows blocks, such as multidirectional motion detection, and the flexible transducer array to be used as stand alone units or to be built into already existing ultrasonic equipment such as sonars, motion sensors, nondestructive testing of materials, etc.
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Date Issued
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1996
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PURL
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http://purl.flvc.org/fcla/dt/12485
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Subject Headings
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Diagnosis, Ultrasonic, Blood-vessels--Ultrasonic imaging, Ultrasonics in medicine
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Format
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Document (PDF)
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Title
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DEVELOPING PLASMA-BASED DIAGNOSTICS: FROM PANCREATIC DUCTAL ADENOCARCINOMA TO HIV.
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Creator
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Makler, Amy, Asghar, Waseem, Florida Atlantic University, Department of Biological Sciences
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Abstract/Description
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Plasma-based diagnostics are ideal for detecting a variety of diseases because they offer a method of detection that is minimally invasive, readily available, and easy to use for monitoring patients as they progress through a disease or respond to treatment. The only serum marker for PDAC is CA19-9 which lacks specificity, has limited sensitivity, and is unreliable for early detection. It is therefore of great importance to develop a diagnostic that is viable for screening and early detection...
Show morePlasma-based diagnostics are ideal for detecting a variety of diseases because they offer a method of detection that is minimally invasive, readily available, and easy to use for monitoring patients as they progress through a disease or respond to treatment. The only serum marker for PDAC is CA19-9 which lacks specificity, has limited sensitivity, and is unreliable for early detection. It is therefore of great importance to develop a diagnostic that is viable for screening and early detection. Exosomal miRNA were determined via bioinformatics analyses and then examined in PDAC cell lines to identify markers with greatest potential. These markers were then examined in plasma from PDAC patients and control groups. Four markers, miR-93-5p, miR-339-3p, miR-425-5p, and miR-425-3p, emerged as the most viable biomarker panel with the ability to detect PDAC in 100% of the early stages (N=5) compared to CA19-9 which showed increased levels in only one patient with early stage PDAC. Additionally, the diagnostic has a specificity of 80% and a sensitivity of 94.7%, making it comparable to CA19-9, and may even be beneficial for use in conjunction with CA19-9. A plasma-based diagnostic was also developed for multi-strain HIV-1 detection utilizing the loop-mediated isothermal amplification (LAMP) method. LAMP primers were developed against the integrase and vpr regions of the HIV-1 genome. They were tested first in cultured HIV samples and then examined for their ability to amplify HIV-1 subtypes A-G. The integrase primer set provided a reliable means of diagnosing all 55 strains and isolates in under 30 minutes, whereas vpr was inconsistent and exhibited high variability in detecting the HIV subtypes. Our limit of detection for B-subtype with integrase was 30 viral copies/reaction. This could provide the basis for a novel, point-of-care diagnostic for use in underdeveloped regions.
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Date Issued
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2023
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PURL
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http://purl.flvc.org/fau/fd/FA00014141
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Subject Headings
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Plasma, Biomarkers, Carcinoma, Pancreatic Ductal, HIV-1, Diagnosis
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Format
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Document (PDF)
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Title
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Computer-aided diagnosis of skin cancers using dermatology images.
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Creator
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Gilani, Syed Qasim, Marques, Oge, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
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Abstract/Description
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Skin cancer is a prevalent cancer that significantly contributes to global mortality rates. Early detection is crucial for a high survival rate. Dermatologists primarily rely on visual inspection to diagnose skin cancers, but this method is inaccurate. Deep learning algorithms can enhance the diagnostic accuracy of skin cancers. However, these algorithms require substantial labeled data for effective training. Acquiring annotated data for skin cancer classification is time-consuming,...
Show moreSkin cancer is a prevalent cancer that significantly contributes to global mortality rates. Early detection is crucial for a high survival rate. Dermatologists primarily rely on visual inspection to diagnose skin cancers, but this method is inaccurate. Deep learning algorithms can enhance the diagnostic accuracy of skin cancers. However, these algorithms require substantial labeled data for effective training. Acquiring annotated data for skin cancer classification is time-consuming, expensive, and necessitates expert annotation. Moreover, skin cancer datasets often suffer from imbalanced data distribution. Generative Adversarial Networks (GANs) can be used to overcome the challenges of data scarcity and lack of labels by automatically generating skin cancer images. However, training and testing data from different distributions can introduce domain shift and bias, impacting the model’s performance. This dissertation addresses this issue by developing deep learning-based domain adaptation models. Additionally, this research emphasizes deploying deep learning models on hardware to enable real-time skin cancer detection, facilitating accurate diagnoses by dermatologists. Deploying conventional deep learning algorithms on hardware is not preferred due to the problem of high resource consumption. Therefore, this dissertation presents spiking neural network-based (SNN) models designed specifically for hardware implementation. SNNs are preferred for their power-efficient behavior and suitability for hardware deployment.
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Date Issued
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2023
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PURL
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http://purl.flvc.org/fau/fd/FA00014233
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Subject Headings
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Deep learning (Machine learning), Diagnostic imaging, Skin--Cancer--Diagnosis
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Format
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Document (PDF)
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Title
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DEVELOPMENT OF MICROFLUIDIC PLATFORMS FOR INFECTIOUS DISEASES DIAGNOSIS AND SPERM CELL SORTING.
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Creator
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Sharma, Sandhya, Asghar, Waseem, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
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Abstract/Description
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In recent years, point-of-care (POC) microfluidic platforms have transformed the healthcare landscape as they offer rapid, low-cost, and easy operational benefits. POC diagnostics play an important role in expediting the testing process in resource-constrained areas. These platforms have become a powerful tool as they offer comparable results with gold-standard methods. The gold standard methods require sophisticated lab locations and expensive equipment, to process the samples which is a...
Show moreIn recent years, point-of-care (POC) microfluidic platforms have transformed the healthcare landscape as they offer rapid, low-cost, and easy operational benefits. POC diagnostics play an important role in expediting the testing process in resource-constrained areas. These platforms have become a powerful tool as they offer comparable results with gold-standard methods. The gold standard methods require sophisticated lab locations and expensive equipment, to process the samples which is a significant challenge particularly for people living in low-income countries. To address these limitations, herein, in my dissertation, I have developed POC microfluidic platforms that can be operated outside the laboratory using lesser equipment statistically hence reducing the testing cost and time. The developed POC chips are used for infectious diseases diagnosis for viruses such as Zika, Hepatitis C Virus (HCV), and severe acute respiratory syndrome coronavirus 2 (SARSCoV-2). The entire virus detection process was executed inside a uniquely designed, inexpensive, disposable self-driven microfluidic chip with high sensitivity and specificity. In addition to this, I have also developed a microfluidic platform for functional sperm cell sorting from raw semen samples. The microfluidic chip offers a platform where the sperm cells experience different shear stress in different parts of the chip that facilitates isolation of competent sperm cells without impacting their integrity. Simultaneously, it also allows effortless collection of sorted sperm cells from the collection chamber which holds clinical significance. All things considered, the developed devices are inexpensive, disposable, easy-to-use, and rapid that provide results within one hour.
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Date Issued
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2022
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PURL
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http://purl.flvc.org/fau/fd/FA00013906
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Subject Headings
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Microfluidics, Point-of-care testing, Communicable diseases—Diagnosis
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Format
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Document (PDF)
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Title
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Identification of MicroRNA biomarkers for cancer by combining multiple feature selection techniques.
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Creator
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Kotlarchyk, Alex J., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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MicroRNAs (miRNAs) may serve as diagnostic and predictive biomarkers for cancer. The aim of this study was to identify novel cancer biomarkers from miRNA datasets, in addition to those already known. Three published miRNA cancer datasets (liver, breast, and brain) were evaluated, and the performance of the entire feature set was compared to the performance of individual feature filters, an ensemble of those filters, and a support vector machine (SVM) wrapper. In addition to confirming many...
Show moreMicroRNAs (miRNAs) may serve as diagnostic and predictive biomarkers for cancer. The aim of this study was to identify novel cancer biomarkers from miRNA datasets, in addition to those already known. Three published miRNA cancer datasets (liver, breast, and brain) were evaluated, and the performance of the entire feature set was compared to the performance of individual feature filters, an ensemble of those filters, and a support vector machine (SVM) wrapper. In addition to confirming many known biomarkers, the main contribution of this study is that seven miRNAs have been newly identified by our ensemble methodology as possible important biomarkers for hepatocellular carcinoma or breast cancer, pending wet lab confirmation. These biomarkers were identified from miRNA expression datasets by combining multiple feature selection techniques (i.e., creating an ensemble) or by the SVM-wrapper, and then classified by different learners. Generally speaking, creating a subset of features by selecting only the highest ranking features (miRNAs) improved upon results generated when using all the miRNAs, and the ensemble and SVM-wrapper approaches outperformed individual feature selection methods. Finally, an algorithm to determine the number of top-ranked features to include in the creation of feature subsets was developed. This algorithm takes into account the performance improvement gained by adding additional features compared to the cost of adding those features.
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Date Issued
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2011
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PURL
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http://purl.flvc.org/FAU/3332260
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Subject Headings
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Gene silencing, Biochemical markers, Cancer, Diagnosis, Data processing, Cancer, Diagnosis, Research, Gene expression, Tumor markers, Diagnostic use
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Format
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Document (PDF)
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Title
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Individual Profiling Of Perceived Tinnitus by Developing Tinnitus Analyzer Software.
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Creator
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Chaudhury, Baishali, Pandya, Abhijit S., Florida Atlantic University
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Abstract/Description
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Tinnitus is a conscious perception of phantom sounds in the absence of external acoustic stimuli, and masking is one of the popular ways to treat it. Due to the variation in the perceived tinnitus sound from patient to patient, the usefulness of masking therapy cannot be generalized. Thus, it is important to first determine the feasibility of masking therapy on a particular patient, by quantifying the tinnitus sound, and then generate an appropriate masking signal. This paper aims to achieve...
Show moreTinnitus is a conscious perception of phantom sounds in the absence of external acoustic stimuli, and masking is one of the popular ways to treat it. Due to the variation in the perceived tinnitus sound from patient to patient, the usefulness of masking therapy cannot be generalized. Thus, it is important to first determine the feasibility of masking therapy on a particular patient, by quantifying the tinnitus sound, and then generate an appropriate masking signal. This paper aims to achieve this kind of individual profiling by developing interactive software - Tinnitus Analyzer, based on clinical approach. The developed software has been proposed to be used in place oftraditional clinical methods and this software (as a part of the future work) will be implemented in the practical scenario involving real tinnitus patients.
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Date Issued
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2010
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PURL
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http://purl.flvc.org/fau/fd/FA00012512
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Subject Headings
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Medical care--Technological innovations, Tinnitus--Diagnosis--Aids and devices, Hearing disorders--Diagnosis--Technological innovations, Psychoacoustics--Research
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Format
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Document (PDF)
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Title
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Assessment of anatomical structures and hemodynamic function of cTnI[193His] transgenic mice with micro-echocardiography.
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Creator
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Gobara, Nariman., Charles E. Schmidt College of Medicine
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Abstract/Description
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Transgenic mice were generated to express a restrictive cardiomyopathy (RCM) human cardiac troponin I (cTnI) R192H mutation in the heart. My study's objective was to assess cardiac function during the development of diastolic dysfunction and to gain insight into the pathophysiological impact of the RCM cTnI mutation. Cardiac function was monitored in cTnI193His mice and wild-type littermates for a period of 12 months. It progressed gradually from abnormal relaxation to diastolic dysfunction...
Show moreTransgenic mice were generated to express a restrictive cardiomyopathy (RCM) human cardiac troponin I (cTnI) R192H mutation in the heart. My study's objective was to assess cardiac function during the development of diastolic dysfunction and to gain insight into the pathophysiological impact of the RCM cTnI mutation. Cardiac function was monitored in cTnI193His mice and wild-type littermates for a period of 12 months. It progressed gradually from abnormal relaxation to diastolic dysfunction characterized with micro- echocardiography by a reversed E/A ratio, increased deceleration time, and prolonged isovolumetric relaxation time. The negative impact of cTnI193His on cardiac function was further demonstrated in isolated mouse working heart preparations. Dobutamine stimulation increased heart rate in cTnI193His mice but did not improve CO. The cTnI193His mice had a phenotype similar to that in human RCM patients carrying the cTnI mutation characterized morphologically by enlarged atria and restricted ventricle and functionally by diastolic dysfunction.
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Date Issued
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2009
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PURL
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http://purl.flvc.org/FAU/186680
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Subject Headings
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Mice as laboratory animals, Biochemical markers, Diagnostic use, Cardiovascular system, Pathophysiology, Coronary heart disease, Molecular diagnosis
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Format
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Document (PDF)
Pages