Master of Science, The Ohio State University, 2024, Dentistry

Purpose: To evaluate and compare the vertical gap between the milled titanium framework obtained from different impression techniques, and the abutment replica of the patient model. Materials and Methods: Four implant Simulated Patient Model was duplicated from a demonstration resin model. The implant impression of the edentulous arch was obtained using 6 techniques: Conventional splinted Open-Custom tray impression and digitized using scan bodies and bench top scanner (CNV), Intraoral scanning using manufacturer scan bodies (IOS), Intraoral scanning using Optisplint (JIGI), Benchtop scanning of the assembled Optiplint after pouring in type IV stone (JIGE), Photogrammetry using ICAM (DOM), Photogrammetry using MicronMapper (SB). N=6 for all groups. CAD/CAM titanium bar was designed directly to the MUA from all the scans (N=36) using 5 axis milling machine. Modified one-screw test was used to evaluate the fit of the bar to the Simulated Patient Model, and the gaps were measured using Nikon Measurescope MM- 1. A Pairwise analysis between the gap measurements for 6 measuring sites in 6 groups was established by performing 2-way ANOVA and post hoc Tukey test. Results: The result of the 2-way ANOVA showed that the technique and the location significantly influenced the gap size. A14 wa not consistently the largest gap among the groups. The pairwise analysis showed that CNV, DOM, and JIGE were clinically acceptable with no significant difference between the gap size. JIGE had the smallest gap size, IOS had the widest gap size. JIGI improved the quality of intraoral scanning. DOM had smaller gap size compared to SB, JIGE had significantly smaller gaps when compared to JIGI. Conclusions: Utilizing the 1-screw test did not consistently reveal the largest gap at the distal-most site. Intraoral scanning of full arch implant prosthetics using regular scan bodies consistently produced the largest measured gaps. Photogrammetry and benchtop scanning of scannable verificat (open full item for complete abstract)

Committee: Robert Seghi (Advisor); Damian Lee (Committee Member); Scott Schricker (Committee Member) Subjects: Dentistry

Master of Science, The Ohio State University, 2022, Dentistry

Objectives: The aim of this in vitro study was to evaluate the tensile bond strength of two hard denture relining materials on denture bases fabricated from conventional, subtractive, and additive polymers. In addition, this study assessed the effect of a polymer to resin primer on the tensile bond strength of hard denture liners to different denture bases. Methods: A total of 120 hard relined denture base samples were fabricated, 40 per denture base group (Lucitone 199, Ivo Base CAD, and NextDent Denture 3D+). For each denture base group 20 samples were hard relined with one of two chair side hard denture liner (GC Reline, MucoHard). Among the hard reline groups, 10 of each group was primed with a composite to PMMA primer (Visio.link). All samples underwent thermocycling. The adhesive strength was evaluated through tensile testing. The surface contact angle was measured on each denture group sample to evaluate thewettability of the material. The data was analyzed using Inverse-variance weighted linear regression. Results: In this study overall the denture bases relined with MucoHard denture liner had significantly higherbond strength than the GC reline groups (P<0.016). The highest tensile bond strength was achieved by combining MucoHard denture liner and primed 3D printed denture base, followed by the non-primed conventional denture base, and non-primed milled denture base to MucoHard denture liner. The surface primer used in this study (Visio.Link primer, Bredent UK Ltd. Chesterfield, UK.) had a significant effect on the tensile bond strength of all tested groups (P<0.0003). However, the primer only positively influenced the bond strength of the 3D printed denture base to MucoHard denture liner, while the other groups were inversely affected. Conclusion: There was no significant difference in the tensile bond strength of chairside denture liners to denture bases fabricated using additive, subtractive, and conventional methods (P>0.05). The highest bond (open full item for complete abstract)

Committee: Shereen Azer (Advisor); Damian Lee (Committee Member); Scott Schricker (Committee Member) Subjects: Dentistry; Polymers

Doctor of Philosophy (PhD), Wright State University, 2022, Computer Science and Engineering PhD

Synthetic Aperture LADAR (SAL) has several phenomenology differences from Synthetic Aperture RADAR (SAR) making it a promising candidate for automatic target recognition (ATR) purposes. The diffuse nature of SAL results in more pixels on target. Optical wavelengths offers centimeter class resolution with an aperture baseline that is 10,000 times smaller than an SAR baseline. While diffuse scattering and optical wavelengths have several advantages, there are also a number of challenges. The diffuse nature of SAL leads to a more pronounced speckle effect than in the SAR case. Optical wavelengths are more susceptible to atmospheric noise, leading to distortions in formed imagery. While these advantages and disadvantages are studied and understood in theory, they have yet to be put into practice. This dissertation aims to quantify the impact switching from specular SAR to diffuse SAL has on algorithm design. In addition, a methodology for performance prediction and template generation is proposed given the geometric and physical properties of CAD models. This methodology does not rely on forming images, and alleviates the computational burden of generating multiple speckle fields and redundant ray-tracing. This dissertation intends to show that the performance of template matching ATRs on SAL imagery can be accurately and rapidly estimated by analyzing the physical and geometric properties of CAD models.

Committee: Michael Raymer Ph.D. (Advisor); Krishnaprasad Thirunarayan Ph.D. (Committee Member); Vincent Velten Ph.D. (Committee Member); Brian Rigling Ph.D. (Committee Member); Fred Garber Ph.D. (Committee Member); Mateen Rizki Ph.D. (Committee Member) Subjects: Computer Science

Doctor of Philosophy in Engineering, Cleveland State University, 2021, Washkewicz College of Engineering

Smart electromechanical systems have begun superseding old electromechanical systems that have static control paradigms. Designing smart machines always includes two main challenges: hardware co-design and suitable control hierarchy. Hardware co-design provides a homogeneous environment that can enhance the reliability of sensory acquisition tasks and control tasks, which directly serve the control hierarchy. The control hierarchy is usually developed to achieve different control goals such as trajectory tracking, which in turn achieve the higher-level goals. Prostheses are electromechanical devices that are attached to the human body to replace or augment a missing part of the body. A lower limb prosthetic robot (i.e., an active prosthetic knee) can be considered an ideal experimental test rig. Prostheses have many control problems such as unmodeled dynamics and high parameter uncertainty. This study aims to investigate different challenges that face smart prosthesis design, starting from hardware development and ending with testing new smart control algorithms. This study has three main parts. First, prosthetic framework design, which includes actuation design and a wearable sensor network. Actuator and sensor networks are co-designed to provide rich kinetic and kinematic information. Second, system identification and gait parameter estimation techniques are implemented to model various prosthetic leg sub-modules. Third, a hybrid controller composed of high-level and low-level sub-controllers is investigated. Data-driven control (DDC) and learning-based control (LBC) paradigms are utilized to form a novel control scheme which shows a promising control capability especially for cases that have unmodeled dynamics and high parameter uncertainty as in human-prosthesis.

Committee: Daniel Simon (Committee Chair); Ana Stankovic (Committee Member); Douglas Wajda (Committee Member); Sandra Rua (Committee Member); Hanz Richter (Committee Member) Subjects: Electrical Engineering; Robotics; Systems Design

Master of Science in Engineering, Youngstown State University, 2021, Department of Mechanical, Industrial and Manufacturing Engineering

The TJT-3000 on the campus of Youngstown State University is like one of many micro turbine engines used in UAV and other large RC aircraft. This project aims to analyze and propose improvements to the combustion chamber of micro turbine engines using the TJT-3000 as a baseline. These improvements would include an overall increase in the combustion chamber without heavily increasing the overall temperature reaching the turbine inlet. To analyze these criteria, the feasibility of using a handheld Creaform scanner for the purpose of scanning small turbine engine components is tested. The scanner was found to be viable, but a finer resolution was desirable as the scanned data from these scanned components would be refined and turned in to CFD capable models. The created CFD models in this project required a considerable amount of post processing to prepare. With a baseline model to compare to experimental data of the turbine engine, hypothesized geometric changes were applied to the turbine engine where the impact of each change would be considered and summarized. Based on the CFD models and literature review it was found that the geometric changes of the combustion chamber should be focused on improving the flow rate through the engine without extinguishing the produced flame while as much of the initial relatively cold flow coming from the compressor should be directed towards the back of the combustion chamber to cool the turbine inlet. Restricting the amount of flow through the combustion chamber leads to a higher pressure drop and an increase in combustion efficiency at the cost of unmanageable chamber wall temperatures, while geometry modifications that force flow through the inner most sections of the combustion chamber first will increase the cooling of the turbine stator inlet with a manageable increase in combustion chamber wall temperatures.

Committee: Stefan Moldovan PhD (Advisor); Hazel Marie PhD (Committee Member); Kyosung Choo PhD (Committee Member) Subjects: Aerospace Engineering; Design; Energy; Mechanical Engineering

Master of Science, The Ohio State University, 2021, Dentistry

Abstract Purpose of the study: Describe the effect of thermocycling on the adhesive strength of three long-term resilient liners to denture base polymers used for the formative, additive and subtractive manufacture of complete dentures. Methods: A total of ninety samples were fabricated, thirty per each group of denture base material(Lucitone 199, Ivo Base CAD, Denture Base LP). For each denture base polymer, ten samples were relined with one of three resilient liners (Permasoft, Mucopren Soft, Molloplast-B). The first five samples of each group were subjected to thermocycling and the last five samples were stored in distilled water. Subsequently, the adhesive strength of the samples was assessed via tensile testing. The resulting data was analyzed using a three-way ANOVA. Results: After thermocycling, Mucopren Soft displayed the best adhesive strength to Lucitone 199 (1.78±0.32 MPa), followed by Molloplast-B (1.26±0.21 MPa) and Permasoft (0.65±0.06 MPa). For Ivo Base CAD, Molloplast-B exhibited the best adhesive strength (1.70±0.36 MPa), followed by Mucopren Soft (1.11±0.15 MPa) and Permasoft (0.53±0.04 MPa). When used with Denture Base LP, Molloplast-B displayed the best adhesive strength (1.37±0.08 MPa), followed by Mucopren Soft (0.67±0.19 MPa) and Permasoft (0.31±0.03 MPa). The adhesive strength of Molloplast-B and Mucopren Soft to Lucitone 199 were not statistically different from each other in the water storage groups, and were 1.42±0.18, and 1.66±0.40 MPa respectively. In this group, the adhesive strength of Permasoft (0.58±0.02 MPa) was statistically different from Molloplast-B and Mucopren Soft. The liner with the best adhesive strength to IvoBase CAD was Molloplast-B (1.83±0.25 MPa), followed by Mucopren Soft (1.26±0.19 MPa) and Permasoft (0.58±0.08 MPa). Molloplast-B displayed the best adhesion to Denture Base LP (1.76±0.23 MPa), followed by Mucopren Soft (0.88±0.14 MPa), and Permasoft (0.25±0.06 MPa).In this experiment, only Molloplast-B was affected (open full item for complete abstract)

Committee: Scott R. Schricker PhD (Advisor); Robert R. Seghi DDS,MS (Committee Member); William M. Johnston PhD (Committee Member) Subjects: Dentistry; Materials Science; Polymers

Master of Science, University of Toledo, 2020, Mechanical Engineering

To enable a new class of in-space deployable antennas and reflectors, an approach is developed for creating expandable parabolic shells based on an origami structure known as a “flasher”. Building upon an existing planar flasher design approach, three new methods to generate parabolic surfaces are under investigation. Each method offers a set of modifications to the origami facets generated for a planar structure, to result in a targeted out-of-plane parabolic geometry. Development takes place within a 3D CAD environment, where the patterns are algorithmically dissected, modified, reassembled, and then assessed for parabolic shape accuracy. Gaps are added to guarantee closure to a folded state without the occurrence of self-intersecting geometry. A shape error approximation is proposed and reported for the resulting structures. The CAD environment also allows for assessment of each structure's foldability, which is the ease with which the structure can transform from the compact stowed state to the fully deployed state. Based on the results generated in CAD, Physical models are constructed to validate the results. Initial results indicate a stark tradeoff between shape capability and rigid working area.

Committee: Brian Trease (Committee Chair); Ala Qattawi (Committee Member); Adam Schroeder (Committee Member) Subjects: Aerospace Engineering; Mechanical Engineering

MS, University of Cincinnati, 2020, Engineering and Applied Science: Mechanical Engineering

In the manufacturing domain, product design is the blueprint of the part. The product design is stored and represented as a solid geometric model. Sometimes, we need to bring an already manufactured part into the digital domain and re-create the blueprint for engineering design purposes. Objects are typically scanned using contact or non-contact type scanners to obtain a point cloud. The point cloud carries information about the part's surface as coordinate data in 3-D space. This thesis outlines a novel method to reverse engineer a point cloud directly into CAD geometry, without the necessity of converting the point cloud into a 3-D mesh format such as STL. This approach is inspired by the process of layer by layer material deposition in additive manufacturing. The point cloud is processed to obtain slices of points with a uniform slice thickness. In the next step, closed B-spline curves are interpolated using the points of each slice resulting in layer-wise curve profiles. These curves are either extruded or lofted in the CAD environment from one slice to the next to obtain a solid CAD model. Concepts of Computational Geometry and Image Processing are used in this approach. Four case studies are performed to demonstrate the methodology. The results show consistent success in capturing the near net shape of the objects. An improvement in the accuracy of the final geometry can be observed upon reducing the slice thickness. However, the minimum slice thickness is limited by the density of the point cloud.

Committee: Sam Anand Ph.D. (Committee Chair); Manish Kumar Ph.D. (Committee Member); Jing Shi Ph.D. (Committee Member) Subjects: Mechanical Engineering

PHD, Kent State University, 2020, College of Nursing

Background: Coronary artery disease (CAD) is the leading cause of death worldwide and is responsible for over 7 million deaths yearly all over the world. In developing countries such as Jordan, the incidence of coronary arteries disease exceeds that of developed countries. More than 35% of total deaths are related to CAD in Jordan. Decreased physical activity is common among Jordanians and it is one factor that may lead to CAD in Jordan. There is sparse research, including theory-based research, examining the lack of physical activity among Jordanian patients. Additionally, cultural restrictions that fuel motivation and support may contribute to a lack of physical activity participation among Jordanian patients. Purpose: The purpose of this study, utilizing the Theory of Planned Behavior (TPB) as the framework, was to understand the intentions of Jordanian CAD patients to engage in physical activity through the examination of attitudes, subjective norms, and perceived behavioral control. Methods: A cross-sectional study examined whether attitudes, subjective norms, and perceived behavioral control predict Jordanian CAD patients' intentions to participate in physical activity by using an Arabic-translated instrument that is based on the TPB. Additionally, the study explored the barriers to participating in physical activity. Results: Descriptive and Inferential statistics were used to analyze the sample characteristics and answer the research questions. A good Cronbach's alpha (0.87) was reported for the TPB questionnaire of the physical activity. The results indicated that the TPB predictors (attitude, subjective norms, and perceived behavioral control) explained 11.2 % of the variance in physical activity intention after controlling age and gender. Perceived behavioral control was the only significant predictor of physical activity intention. For the open-ended questions, feelings of exhaustion, in addition to the lack of time, family support, and shortage o (open full item for complete abstract)

Committee: Dana Hansen (Committee Chair); Barbara Broome (Committee Member); Amy Petrinec (Committee Member); Donna Bernert (Committee Member); John Updegraff (Other) Subjects: Middle Eastern Studies; Nursing; Physical Education

Doctor of Psychology (Psy.D.), Xavier University, 2019, Psychology

Coronary artery disease (CAD) is an illness that accounts for over 385,000 deaths in people in the United States each year, amounting to about one in four US deaths annually (Kochanek, Xu, Murphy, Minino, & Kung, 2011). When accounting for health care services, medications, and lost productivity, this illness comes with an estimated cost of $108.9 billion per year in the United States alone (Fang, Shaw, & Keenan, 2011). Though acceptance, as a predictor of well-being, has gained increasing attention in chronic illness populations, other potential predictors, such as humor styles, have yet to be explored in many populations. The present study examined acceptance and humor styles as predictors of both physical and mental dimensions of quality of life in people with CAD. Demographic variables and anger were also examined for their predictive power of quality of life. Results indicated that as a group, these variables were predictors of physical and mental quality of life. Within those models, all individual humor styles failed to significantly contribute predictive ability, though acceptance remained a significant predictor. Recommendations for future research are to examine how humors styles might relate differently to quality of life across contexts, and to explore how anger might relate differently to some domains of quality of life over others. Additional research into the changing contexts of CAD presentation over time may provide additional insight into prevention and intervention methods.

Committee: W. Michael Nelson III Ph.D. (Committee Chair); Abbie Beacham Ph.D. (Committee Member); Kathleen Hart Ph.D. (Committee Member) Subjects: Psychology

Master of Science, The Ohio State University, 2017, Dentistry

Abstract Purpose: The material and design of implant prostheses influence the loading of dental implants, which may affect the adaptation of bone1. When choosing materials for implant-supported prostheses, the clinician could choose the one that places less stress on the implant and surrounding tissues2. Use of ceramic materials for veneering implant-supported prostheses is common. Computer-aided design and computer-aided manufacturing (CAD-CAM) technique have provided many advantages starting with the speed of design, processing, fabrication and accuracy. New materials have been developed to achieve the optimum quality; these include Zirconia-reinforced Lithium Silicate Ceramic (ZLS) and a Hybrid ceramic containing a resin-reinforced glass network (Enamic). The screw access channel technique is frequently utilized to help clinicians retrieve cement-retained implant crowns when needed. One concern with screw access holes is the fracture resistance of the crown material after creating the access channel in a cement-retained crown. This study was performed in two parts: the aim in Part 1 was to measure and compare the influence of (ZLS) and (Enamic) with different ceramic CAD-CAM implant-supported crown materials for strain distribution generated around the implants during cyclic loading. Part 2 was performed in order to measure and compare the load to fracture values of different cement-retained crown materials with screw access channel. Material and Methods: Four 3.7mm X 10mmD platform Legacy 1 Implants (Implant Direct, Carlsbad, CA, USA) were placed into a 12” x 2” x 8mm resin block. Legacy Zirconia Straight Contoured Stock Abutment (3.5mmD/1mm Collar Height, Implant Direct, Carlsbad, CA, USA) (N=20) were torqued into the implant fixtures to support crowns that were milled from a virtual design using four different all-ceramic materials (N=20). A resin cement was used to cement crowns on zirconia abutments. Initially, the crowns were cyclically loaded two times a (open full item for complete abstract)

Committee: Burak Yilmaz (Advisor) Subjects: Dentistry

MS, University of Cincinnati, 2016, Engineering and Applied Science: Mechanical Engineering

Additive Manufacturing (AM) or 3D printing (3DP) process is a layer by layer manufacturing approach for manufacturing parts with complex geometries. The STL (Stereolithography) file format is the de-facto industry standard for manufacturing parts by AM/3DP. The STL file is a triangular mesh representation of CAD geometry in non-uniform rational B-spline (NURBS) surface format and thus is an approximation of actual part geometry. During the conversion of a complex CAD geometry to an STL file, geometric errors are introduced in the model. These drawbacks associated with the STL file may translate into a faulty or inaccurate final manufactured part. This thesis presents a novel Image Processing (IP) based Direct CAD Slicer, IPSlicer, which can be used to manufacture components directly from CAD geometry (without converting to STL file). Using sectional image snapshots of a part, captured normal to the build direction, and sectional 2D bounding box data, contour points for each section are identified by performing boundary tracing operation followed by application of Contour Mapping Algorithm (CMA). The method slices the actual NURBS geometry and thus parts manufactured by this method have reduced GD&T errors such as flatness, cylindricity, and profile error. In addition, a support removability analysis tool is developed by performing color-based segmentation on sectional image snapshots in conjunction with a pixel traversal approach. Using the segmented images and sectional bounding boxes, a sintering area and time calculation tool for each layer is also developed. Lastly, a CAD tool has been developed to identify and highlight sharp features and corners which violate Design for Additive Manufacturing (DFAM) guidelines. The effectiveness of IPSlicer is verified by virtually manufacturing test components and calculating GD&T errors by the application of computational metrology algorithms on virtually manufactured data. The support removability analysis tool, sintering a (open full item for complete abstract)

Committee: Sundararaman Anand Ph.D. (Committee Chair); Jing Shi Ph.D. (Committee Member); David Thompson Ph.D. (Committee Member) Subjects: Mechanical Engineering; Mechanics

MS, University of Cincinnati, 2016, Engineering and Applied Science: Electrical Engineering

With the fabrication technology fast approaching 7nm, Post-silicon validation has become an integral part of integrated circuit design to capture and eliminate functional bugs that escape pre-silicon validation. The major roadblock in post-silicon functional verification is limited observability of internal signals in a design. A possible solution to address this roadblock is to make use of embedded memories on chip called trace buffers. The amount of debug data that can be acquired from the trace buffer depends on its width and depth. The width of the trace buffer limits the number of signals that can be traced and the depth of the trace buffer limits the number of samples that can be acquired. Using the acquired data from the trace buffer, the values of other nodes in the circuit can be reconstructed. These trace buffers have limited area, hence only a few critical signals can be recorded by it. In this work we used the simulated annealing heuristic to select trace signals. We developed this idea from the fact that trace signal selection can basically be viewed as a bi-partitioning problem, the set of flip-flops being tapped onto the trace buffer is one partition and the other partition is the set of all other flip-flops in the design. Another key contribution of this thesis is that we found and fixed a hole in the established state restoration algorithm. Experimental results demonstrate that our approach can provide significantly better restoration ratio compared to the state-of-the-art techniques.

Committee: Ranganadha Vemuri Ph.D. (Committee Chair); Wen-Ben Jone Ph.D. (Committee Member); Carla Purdy Ph.D. (Committee Member) Subjects: Electrical Engineering

Doctor of Philosophy, Case Western Reserve University, 2016, EECS - Electrical Engineering

Coronary artery disease (CAD) is the leading cause of death in the world. Most acute coronary events (e.g. heart attacks) are due to the rupture of atherosclerotic plaques inside the arteries, however, calcified lesion is the most widely treatable, typically, by stent implantation via percutaneous coronary intervention (PCI). Intravascular Optical Coherence Tomography (IVOCT) imaging has the resolution, contrast, and penetration depth to characterize coronary artery plaques. Conventional manual evaluation of IVOCT images, based on qualitative interpretation of image features, is tedious and time consuming. The aim of this PhD dissertation was to develop advanced algorithms to fully automate the task of plaque characterization, thereby significantly reduce image analysis time, enable intervention planning, and increase IVOCT data usability. We based our algorithms on machine learning combined with advanced image processing techniques. We developed a processing pipeline on a 3D local region of support for estimation of optical properties of atherosclerotic plaques from coronary artery, IVOCT pullbacks. Performance was assessed in comparison with observer-defined standards using clinical pullback data. Values (calcium 3.58±1.74mm−¹, lipid 9.93±2.44mm−¹ and fibrous 1.96±1.11mm−¹) were consistent with previous measurements. We, then, created a method to automatically classify plaque tissues as fibrous, calcified, or lipid-rich. For this multi-class problem, we used one-versus-rest SVM classifiers for each of the three plaque types, rules to exclude many voxels called “other,” and both physics-inspired and local texture features to classify voxels. Experiments on the clinical training data yielded 5-fold, voxel-wise accuracy of 87.7±8.6%, 96.7±4.9% and 97.3±2.4% for calcified, lipid-rich and fibrotic tissues, respectively. Experiments on the independent validation data (ex-vivo image data accurately labeled using registered 3D microscopic cryo-imaging and was used as (open full item for complete abstract)

Committee: David Wilson PhD (Advisor); Soumya Ray PhD (Committee Member); Hiram Bezerra PhD, MD (Committee Member); Murat Cavusoglu PhD (Committee Chair); Francis Merat PhD (Committee Member) Subjects: Artificial Intelligence; Computer Science; Medical Imaging

Master of Science, The Ohio State University, 2015, Dentistry

Conventional methods of complete denture (CD) fabrication involve multiple and complex clinical and laboratory procedures. With the introduction of CAD/CAM fabricated CDs, these techniques seek to ameliorate the potential disadvantages associated with conventional complete denture fabrication and highlight potential advantages such as reduced number of patient visits and improved fit of the prostheses. However, comprehensive clinical data on CAD/CAM complete dentures, that conform to an evidence based approach, are severely lacking in the available literature. To date, there are few, if any, randomized clinical trials or retrospective analyses evaluating the clinical performance and behavior of CAD/CAM fabricated dentures. In this study, patients who received CAD/CAM fabricated CDs (AvaDent® Global Dental Science LLC, Scottsdale, Ariz.) at The Ohio State University College of Dentistry were identified. Using a dental software search tool (Windent EE; Carestream Dental), the total number of CAD/CAM fabricated CDs treated within the Pre-doctoral Comprehensive Care Clinics, Advanced Prosthodontics Clinic and Dental Faculty Practice Clinic between the years 2012 and 2014 were identified. Retrospectively, data were collected from these charts of patients. Data were collected from the reviewed charts to identify and assess objective and subjective treatment outcomes including: number of appointments needed to deliver the final complete denture prostheses, number of post delivery adjustments needed due to presence of sore spots, and the reported complications with these prostheses such as compromised denture retention, fractures, incorrect vertical dimension of occlusion and/or incorrect centric relation. It was also determined whether the experience level of the operator had an influence on the number of appointments needed to deliver the final prosthesis and in the total amount of complications observed. In addition, a 13-item questionnaire was sent in the mail to those (open full item for complete abstract)

Committee: Burak Yimaz (Advisor); Edwin McGlumphy (Committee Member); Hua Hong Chien (Committee Member); Reza Heshmati (Committee Member) Subjects: Dentistry

MFA, Kent State University, 2015, College of the Arts / School of Art

What I Lived for addresses themes of identity and the projection of identity. In this series, the imagery combined in each piece constructs a narrative regarding the wearer's connection with nature, or feelings of biophelia. It becomes evident that more important than the wearer's actual communion with the outdoors is the notion that others would associate the natural world with the wearer. While such identities we construct for ourselves may not hold up over extreme testing, through the completion of this thesis body of work it becomes clear that they are nonetheless critical for self awareness.

Committee: Kathleen Browne (Advisor); Gianna Commito (Committee Member); Isabel Farnsworth (Committee Member); Sean Mercer (Committee Member) Subjects: Fine Arts

Master of Science (MS), Ohio University, 2014, Industrial and Systems Engineering (Engineering and Technology)

Product designers produce the design of the product to satisfy the product specifications by applying their own design intent. Due to the lack of semantic capability of the modern Computer aided Design (CAD) applications and standard formats (STEP) to store design data, the design intent of the designer is lost and only geometrical information remain in the design data (non-semantics aware design). Unavailability of the design purpose or the significance of the design in the design data makes It hard to integrate manufacturing design data with other applications of Computer Integrated Manufacturing (CIM). For this reason, it is important to interpret functional properties of design data. In this thesis, a structural analysis process is developed, which uses a novel algorithm from computational geometry to extract Degrees of Freedoms of each part in an assembly. These information is used to recognize translational properties of the parts. Along with it, functional design of a conceptual system, called SIDOS, is presented, which compares the expected behaviors, derived from the functional behaviors, which are in turn extracted from a non-semantics aware design, with the expected behaviors of a semantics-aware template design from the same product family to identify similar components between them and annotates the components of the non-semantics aware design with the matching semantics from the template design.

Committee: David Koonce (Advisor); Dusan Sormaz (Committee Member); Robert Judd (Committee Member); Gursel Suer (Committee Member); Vic Matta (Committee Member) Subjects: Industrial Engineering

Master of Science, The Ohio State University, 2014, Dentistry

Purpose: This study was conducted to find the accuracy of digital intra-oral scanners (IOS) for fabricating computer aided designing (CAD)-computer aided manufacturing (CAM) implant supported prosthesis. The different IOS available have different technologies for data acquisition and processing. The IOS tested were 3M™True Definition Scanner (3M ESPE, St.Paul, MN), iTero (AlignTechnologies, San-Jose, CA) and 3Shape Trios (3Shape Dental, Copenhagen, Denmark). The two scannable abutments tested were Encode® Healing Abutments (Bellatek, Biomet3i, West PalmBeach, FL)[ENC] and Zirkonzahn scan marker (Zirkonzahn.Modellier, Gais, Italy)[ZRZ]. The aim of the study is to check the accuracy of three IOS systems, for making virtual impressions for dental implants using two scannable abutments and two different implant angulations (Parallel and 30° angulation) to fabricate an implant supported bar. Materials and Methods: A stereolithographic replica of a human mandible, with teeth #21 to #28 present, was fabricated. Posterior segments were edentulous. Four Full Osseotite® Certain implants (Biomet3i, West PalmBeach, FL) were placed in the posterior, 2 on each side; the implants on one side were parallel to each other and the implants on the other side diverged by 30°. This model was digitized using a high-definition laboratory scanner (reference scanner, Sirona inEosX5, Salzburg, Austria) with two different scan bodies, ENC and ZRZ. 3Shape Design software was used to CAD the control and test bars. IOS were made using three different intraoral scanners and similar bars were designed. A total of 36 test CAD bars were compared with 4 control bars. Digital files of the bars were loaded into 3D evaluation software (Geomagic DesignX™2013, Morrisville, USA). A virtual `one-screw test' was done using “Global, Fine, Partial” alignment method in the software. For the alignment, centers of the abutment bases were not more than 5µ away and the data points of alignment had more than 9 (open full item for complete abstract)

Committee: Edwin McGlumphy DDS, MS (Advisor); Burak Yilmaz DDS, PhD (Committee Member); Robert Seghi DDS, MS (Committee Member); Hua-Hong Chien DDS, PhD (Committee Member) Subjects: Dentistry; Engineering; Technology

MS, University of Cincinnati, 2000, Engineering : Mechanical Engineering

This thesis investigates the usefulness of Boundary Element Method (BEM) and a software tool called UCWaves developed at University of Cincinnati. The Boundary Element Method for structural analysis has emerged as a very promising alternative for the Finite Element Method (FEM). Although BEM is more complicated than FEM, it is faster and it does reduce a lot of storage space over FEM for solving large models. The advantage of BEM becomes apparent for the infinite domain as well as fracture mechanics problems. There are very few CAD tools, which use BEM for analysis. This thesis is a successful attempt to design and develop an Internet based analysis tool using the BEM. The existing standalone BEM software has also been enhanced. This study will lead to more research activities on the Internet-based software development for the BEM.

Committee: Yijun Lui (Advisor) Subjects:

PhD, University of Cincinnati, 2008, Engineering : Computer Science and Engineering

Integrated Circuits (ICs) are widely used in all applications and industries like smart cards, cell phones, set-top boxes, automobiles, avionics, space exploration and bio-instrumentation, to name a few. Traditional IC design flows and architectural synthesis techniques have been developed primarily for area, power and performance optimization. In recent years, as we move into the nanometer semiconductor process era, the ability to integrate large and complex applications on a single semiconductor die coupled with the all pervasive nature of the technology and its impact on our daily lives, have brought into prominence two important IC optimization constraints: Security and Correctness. In this thesis, we have developed novel architectural synthesis techniques at cell-level, circuit-level and algorithmic-level, in a hierarchical standard-cell-based IC design framework, to design correct and secure ICs. Formulation as a hierarchical framework allows efficient partitioning of the design problem into several clearly-defined design steps at various levels of abstractions, with a clear understanding of each design step and ability to incorporate the requirements of subsequent design steps. Furthermore, unlike naive security-centric IC design flows where security and IC implementation constraints (area, power and performance) are typically considered as orthogonal and often conflicting optimization goals, in this thesis, we developed a novel paradigm that could be used to simultaneously optimize security as well as IC implementation constraints (area and power), at various hierarchical levels of IC design. Together, these architectural synthesis techniques fit well in today's highly productive modular IC design flows, and thus efficiently design correct and secure ICs.

Committee: Ranga Vemuri PhD (Committee Chair); Jintai Ding PhD (Committee Member); Karen Tomko PhD (Committee Member); Harold Carter PhD (Committee Member); Wen-Ben Jone PhD (Committee Member) Subjects: Computer Science