Rf Sensing System For Continuous Blood Glucose Monitoring,
2017
University of South Florida
Rf Sensing System For Continuous Blood Glucose Monitoring, Fabiola Araujo Cespedes
USF Tampa Graduate Theses and Dissertations
The purpose of this research was to design a blood glucose sensing system based on the induced shift in the resonant frequency of an antenna patch operating in the ISM band (5.725 – 5.875 GHz). The underlying concept is the fact that when a person has variations in their blood glucose levels, the permittivity of their blood varies accordingly. This research analyzed the feasibility of using an antenna patch as a blood glucose sensing device in three configurations: 1) as an implantable active sensor, 2) as an implantable passive antenna sensor, and 3) as a non-invasive sensor. In the first …
Ambulatory Systolic Blood Pressure And Obesity Are Independently Associated With Left Ventricular Hypertrophic Remodeling In Children,
2017
Geisinger
Ambulatory Systolic Blood Pressure And Obesity Are Independently Associated With Left Ventricular Hypertrophic Remodeling In Children, Linyuan Jing, Christopher D. Nevius, Cassi M. Friday, Jonathan D. Suever, Arichanah Pulenthiran, Abba Mejia-Spiegeler, H. Lester Kirchner, William J. Cochran, Gregory J. Wehner, Aftab S. Chishti, Christopher M. Haggerty, Brandon K. Fornwalt
Biomedical Engineering Faculty Publications
Background: Children with obesity have hypertrophic cardiac remodeling. Hypertension is common in pediatric obesity, and may independently contribute to hypertrophy. We hypothesized that both the degree of obesity and ambulatory blood pressure (ABP) would independently associate with measures of hypertrophic cardiac remodeling in children.
Methods: Children, aged 8–17 years, prospectively underwent cardiovascular magnetic resonance (CMR) and ABP monitoring. Left ventricular (LV) mass indexed to height2.7(LVMI), myocardial thickness and end-diastolic volume were quantified from a 3D LV model reconstructed from cine balanced steady state free precession images. Categories of remodeling were determined based on cutoff values for LVMI and …
Computational Sensitivity Investigation Of Hydrogel Injection Characteristics For Myocardial Support,
2017
University of Kentucky
Computational Sensitivity Investigation Of Hydrogel Injection Characteristics For Myocardial Support, Hua Wang, Christopher B. Rodell, Madonna E. Lee, Neville N. Dusaj, Joseph H. Gorman Iii, Jason A. Burdick, Robert C. Gorman, Jonathan F. Wenk
Mechanical Engineering Faculty Publications
Biomaterial injection is a potential new therapy for augmenting ventricular mechanics after myocardial infarction (MI). Recent in vivo studies have demonstrated that hydrogel injections can mitigate the adverse remodeling due to MI. More importantly, the material properties of these injections influence the efficacy of the therapy. The goal of the current study is to explore the interrelated effects of injection stiffness and injection volume on diastolic ventricular wall stress and thickness. To achieve this, finite element models were constructed with different hydrogel injection volumes (150 µL and 300 µL), where the modulus was assessed over a range of 0.1 kPa …
Macroscopic Anisotropic Bone Material Properties In Children With Severe Osteogenesis Imperfecta,
2017
Marquette University
Macroscopic Anisotropic Bone Material Properties In Children With Severe Osteogenesis Imperfecta, Carolyne Albert, John Jameson, Sergey Tarima, Peter Smith, Gerald F. Harris
Biomedical Engineering Faculty Research and Publications
Children with severe osteogenesis imperfecta(OI) typically experience numerous fractures and progressive skeletal deformities over their lifetime. Recent studies proposed finite element models to assess fracture risk and guide clinicians in determining appropriate intervention in children with OI, but lack of appropriate material property inputs remains a challenge. This study aimed to characterize macroscopic anisotropic cortical bone material properties and investigate relationships with bone density measures in children with severe OI. Specimens were obtained from tibial or femoral shafts of nine children with severe OI and five controls. The specimens were cut into beams, characterized in bending, and imaged by synchrotron …
Rehabilitating Asymmetric Gait Using Asymmetry,
2017
University of South Florida
Rehabilitating Asymmetric Gait Using Asymmetry, Tyagi Ramakrishnan
USF Tampa Graduate Theses and Dissertations
Human gait is a complex process that involves the coordination of the central nervous and muscular systems. A disruption to the either system results in the impairment of a person’s ability to walk. Impairments can be caused by neurological disorders such as stroke and physical conditions like amputation. There is not a standardized method to quantitatively assess the gait asymmetry of affected subjects. The purpose of this research is to understand the fundamental aspects of asymmetrical effects on the human body and improve rehabilitation techniques and devices. This research takes an interdisciplinary approach to address the limitations with current rehabilitation …
Comparison Of New Metrics For Assessment Of Risks Of Occupational Noise,
2017
Southern Illinois University Carbondale
Comparison Of New Metrics For Assessment Of Risks Of Occupational Noise, Wisam Al-Dayyeni, Jun Qin
ASA Multidisciplinary Research Symposium
The acoustic environment nowadays is filled with excessive noise sources. Here, we will compare the conventional noise metrics(A-weighting and C-weighting) with our two developed advanced models (the adaptive weighting (F-weight) and the complex velocity level (CVL) auditory fatigue model).
Gender And Participation In An Engineering Problem-Based Learning Environment,
2017
University of Michigan
Gender And Participation In An Engineering Problem-Based Learning Environment, Laura Hirshfield, Milo D. Koretsky
Interdisciplinary Journal of Problem-Based Learning
The use of problem-based learning (PBL) is gaining attention in the engineering classroom as a way to help students synthesize foundational knowledge and to better prepare students for practice. In this work, we study the discourse interactions between 27 student teams and two instructors in an engineering PBL environment to analyze how participation is distributed among team members, paying particular attention to the differences between male and female students. There were no statistically significant differences between the amount that male and female students spoke; however, stereotypical gender roles and traditional gendered behavior did manifest in the discussion. Also, regardless of …
Hydrodeoxygenation Of Acetic Acid As A Model Compound For The Aqueous Phase Catalytic Pyrolysis Oils,
2017
Utah State University
Hydrodeoxygenation Of Acetic Acid As A Model Compound For The Aqueous Phase Catalytic Pyrolysis Oils, Hossein Jahromi, Foster Agblevor
Biological Engineering Faculty Publications
Catalytic pyrolysis of biomass generates organic, aqueous, gaseous and solid fractions. The organic fraction can be easily hydrotreated to produce hydrocarbons, but the aqueous phase that contains between 10 to 25% soluble organics can pose challenges in wastewater treatment. The aqueous fraction from the catalytic pyrolysis of Pinyon Juniper wood was characterized for its organic content. The fraction contained about 15 wt% organic compounds determined from Karl Fischer analysis. The organic fractions were further characterized using gas chromatography and mass selective detection (GC/MS). The analysis showed that the dissolved organics were composed of acetic acid, ketones, aldehydes, and phenolic compounds. …
Optical Properties Of Organic Carbon And Soot Produced In An Inverse Diffusion Flame,
2017
Istituto di Ricerche sulla Combustione
Optical Properties Of Organic Carbon And Soot Produced In An Inverse Diffusion Flame, C. Russo, B. Apicella, J. S. Lighty, A. Ciajolo, A. Tregrossi
Mechanical and Biomedical Engineering Faculty Publications and Presentations
The carbonaceous matter (soot plus organic carbon) sampled downstream of an ethylene inverse diffusion flame (IDF) was chemically and spectroscopically analyzed in detail. In particular, the H/C ratio, the UV-Visible absorption coefficient and Raman parameters were measured and found to be representative of a highly disordered sp2 -rich carbon as the early soot sampled in a premixed flame. In contrast, the optical band gap was found to be relatively low (0.7eV), closer to the optical band gap of graphite than to that of medium-sized polycyclic aromatic hydrocarbons (>2eV) which are widely considered to be soot precursors and are …
Incorporation Of Catalytic Modalities For Forming Of A Catalytic Cascade,
2017
University of New Mexico - Main Campus
Incorporation Of Catalytic Modalities For Forming Of A Catalytic Cascade, Albert T. Perry Iii
Nanoscience and Microsystems ETDs
This dissertation investigates the novel incorporation of inorganic and enzymatic catalysts. There is little literature on inorganic catalysts operating at biologically relevant pHs and as such a significant amount of this dissertation focuses on determination of catalyst activity. Mn amino-anitpyrene (MnAAPyr), Pt, Pt alloys, Mn-N-C and Pd catalysts on 3D graphene supports(3D-GNS), were explored for activity towards glycerol intermediates: oxalic acid, mesoxalic acid, glyoxalic acid, and formic acid. MnAAPyr was designed to mimic the reaction center of oxalate decarboxylase and oxalate oxidaze, the natural catalyst towards oxalic acid. It showed high activity towards oxalic acid, with onset potentials of 0.714±0.002V …
Optimal Hemoglobin Extinction Coefficient Data Set For Near-Infrared Spectroscopy,
2017
Chinese Academy of Medical Science, China
Optimal Hemoglobin Extinction Coefficient Data Set For Near-Infrared Spectroscopy, Yue Zhao, Lina Qiu, Yunlong Sun, Chong Huang, Ting Li
Biomedical Engineering Faculty Publications
Extinction coefficient (ε) is a critical parameter for quantification of oxy-, deoxy-, and total-hemoglobin concentrations (Δ[HbO2], Δ[Hb], Δ[tHb]) from optical measurements of Near-infrared spectroscopy (NIRS). There are several different ε data sets which were frequently used in NIRS quantification. A previous study reported that even a small variation in ε could cause a significant difference in hemodynamic measurements. Apparently the selection of an optimal ε data set is important for NIRS. We conducted oxygen-state-varied and blood-concentration-varied model experiments with 57 human blood samples to mimic tissue hemodynamic variations. Seven reported ε data sets were evaluated by comparisons between …
Sagittal Subtalar And Talocrural Joint Assessment During Ambulation With Controlled Ankle Movement (Cam) Boots,
2017
Marquette University
Sagittal Subtalar And Talocrural Joint Assessment During Ambulation With Controlled Ankle Movement (Cam) Boots, Ben Mchenry, Emily L. Exten, Janelle A. Cross, Karen M. Kruger, Brian Law, Jessica M. Fritz, Gerald F. Harris
Biomedical Engineering Faculty Research and Publications
Background: The purpose of the current study was to determine sagittal plane talocrural and subtalar kinematic differences between barefoot and controlled ankle movement (CAM) boot walking. This study used fluoroscopic images to determine talar motion relative to tibia and calcaneal motion relative to talus.
Methods: Fourteen male subjects (mean age 24.1 ± 3.5 years) screened for normal gait were tested. A fluoroscopy unit was used to collect images at 200 Hz during stance. Sagittal motion of the talocrural and subtalar joints were analyzed barefoot and within short and tall CAM boots.
Results: Barefoot talocrural mean maximum plantar and dorsiflexion were …
Robotic Resistance Treadmill Training Improves Locomotor Function In Children With Cerebral Palsy: A Randomized Controlled Pilot Study,
2017
Rehabilitation Institute of Chicago
Robotic Resistance Treadmill Training Improves Locomotor Function In Children With Cerebral Palsy: A Randomized Controlled Pilot Study, Ming Wu, Janis Kim, Deborah J. Gaebler-Spira, Brian D. Schmit, Pooja Arora
Biomedical Engineering Faculty Research and Publications
Objective
To determine whether applying controlled resistance forces to the legs during the swing phase of gait may improve the efficacy of treadmill training as compared with applying controlled assistance forces in children with cerebral palsy (CP).
Design
Randomized controlled study.
Setting
Research unit of a rehabilitation hospital.
Participants
Children with spastic CP (N=23; mean age, 10.6y; range, 6–14y; Gross Motor Function Classification System levels, I–IV).
Interventions
Participants were randomly assigned to receive controlled assistance (n=11) or resistance (n=12) loads applied to the legs at the ankle. Participants underwent robotic treadmill training 3 times a week for 6 weeks (18 …
Pattern Discovery In Brain Imaging Genetics Via Scca Modeling With A Generic Non-Convex Penalty,
2017
Northwestern Polytechnical University, China
Pattern Discovery In Brain Imaging Genetics Via Scca Modeling With A Generic Non-Convex Penalty, Lei Du, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen, Michael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, John Morris, Leslie M. Shaw, Zaven Khachaturian, Greg Sorensen, Maria Carrillo, Lew Kuller, Marc Raichle, Steven Paul, Peter Davies, Howard Fillit, Franz Hefti, David Holtzman, Charles D. Smith, Gregory Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad
Neurology Faculty Publications
Brain imaging genetics intends to uncover associations between genetic markers and neuroimaging quantitative traits. Sparse canonical correlation analysis (SCCA) can discover bi-multivariate associations and select relevant features, and is becoming popular in imaging genetic studies. The L1-norm function is not only convex, but also singular at the origin, which is a necessary condition for sparsity. Thus most SCCA methods impose ℓ1-norm onto the individual feature or the structure level of features to pursuit corresponding sparsity. However, the ℓ1-norm penalty over-penalizes large coefficients and may incurs estimation bias. A number of non-convex penalties are proposed to reduce …
Integrative Computational Modeling For Developing Means To Manipulate Biological Cells And For Solving Complex Engineering Problems,
2017
University of Kentucky
Integrative Computational Modeling For Developing Means To Manipulate Biological Cells And For Solving Complex Engineering Problems, Yu Zhao, Guigen Zhang
Commonwealth Computational Summit
A brief discussion on reductive vs integrative investigation
A case study: how integrative computational modeling helps advance the understanding and application of dielectrophoresis (DEP) in various situations
Other applications in advancing the design and development of nanopore, medical devices, novel materials, actuation devices, and coupled spectroscopic techniques, etc.
Integrative Computational Modeling For Developing Means To Manipulate Biological Cells And For Solving Complex Engineering Problems,
2017
University of Kentucky
Integrative Computational Modeling For Developing Means To Manipulate Biological Cells And For Solving Complex Engineering Problems, Yu Zhao, Guigen Zhang
Commonwealth Computational Summit
Computational modeling has become more widely used to guide the design of microfluidic devices for manipulating cells using Dielectrophoresis (DEP), and devise novel means for advancing the study of cellular science and engineering. Conventionally, cells are treated as volumeless points in the system, which allows study of the movement of groups of particles under the effect of field. However, this approach often neglects the distortion effect of particle on external field, as well as interactions among particles. Moreover, it ignores the complex inner structures of cell, which are the causes of distinctive cell behavior. To more accurately model the behavior …
Parallelization Of A Three-Dimensional Full Multigrid Algorithm To Simulate Tumor Growth,
2017
University of Louisville
Parallelization Of A Three-Dimensional Full Multigrid Algorithm To Simulate Tumor Growth, Dylan Goodin, Chin F. Ng, Hermann B. Frieboes
Commonwealth Computational Summit
We present the performance gains of an openMP implementation of a fully adaptive nonlinear full multigrid (FMG) algorithm to simulate three-dimensional multispecies desmoplastic tumor growth on computer systems of varying processing capabilities. The FMG algorithm is applied to solve a recently published thermodynamic mixture model that uses a diffuse interface approach with fourth-order reaction-advection-diffusion PDEs (Cahn-Hilliard-type equations) that are coupled, nonlinear, and numerically stiff. The model includes multiple cell species and extracellular matrix (ECM), with adhesive and elastic energy contributions in chemical potential terms, as well as including blood and lymphatic vessels represented as continuous vasculatures. Advection-reaction-diffusion PDEs are employed …
Hierarchical Fusion Based Deep Learning Framework For Lung Nodule Classification,
2017
Louisiana State University and Agricultural and Mechanical College
Hierarchical Fusion Based Deep Learning Framework For Lung Nodule Classification, Kazim Sekeroglu
LSU Doctoral Dissertations
Lung cancer is the leading cancer type that causes the mortality in both men and women. Computer aided detection (CAD) and diagnosis systems can play a very important role for helping the physicians in cancer treatments. This dissertation proposes a CAD framework that utilizes a hierarchical fusion based deep learning model for detection of nodules from the stacks of 2D images. In the proposed hierarchical approach, a decision is made at each level individually employing the decisions from the previous level. Further, individual decisions are computed for several perspectives of a volume of interest (VOI). This study explores three different …
Dual-Drug Containing Core-Shell Nanoparticles For Lung Cancer Therapy,
2017
University of Texas at Arlington
Dual-Drug Containing Core-Shell Nanoparticles For Lung Cancer Therapy, Jyothi Unnikrishna Menon, Aneetta Kuriakose, Roshni Iyer, Elizabeth Hernandez, Leah Gandee, Shanrong Zhang, Masaya Takahashi, Zhang Zhang, Debabrata Saha, Kytai Truong Nguyen
Bioengineering Faculty Publications - Archive
Late-stage diagnosis of lung cancer occurs ~95% of the time due to late manifestation of its symptoms, necessitating rigorous treatment following diagnosis. Existing treatment methods are limited by lack of specificity, systemic toxicity, temporary remission, and radio-resistance in lung cancer cells. In this research, we have developed a folate receptor-targeting multifunctional dual drug-loaded nanoparticle (MDNP) containing a poly(N-isopropylacrylamide)-carboxymethyl chitosan shell and poly lactic-coglycolic acid (PLGA) core for enhancing localized chemo-radiotherapy to effectively treat lung cancers. The formulation provided controlled releases of the encapsulated therapeutic compounds, NU7441 - a potent radiosensitizer, and gemcitabine - an FDA approved chemotherapeutic drug for lung …
Co-Existence Of Microbial Ecology In A Chemostat Using A Robust Feedback,
2017
Universidad Autonoma Metropolitana
Co-Existence Of Microbial Ecology In A Chemostat Using A Robust Feedback, Hector Puebla, Mariana Rodriguez-Jara, Margarita M. Gonzalez-Brambila, Eliseo Hernandez-Martinez, Alejandra Velasco-Perez, Ennio Piceno-Diaz
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
