Context. Software systems are under constant updating for being faulty and to improve and introduce features. The Software testing is the most commonly used  method for validating the quality of software systems. Agile processes help to  automate testing process. A regression test is the main strategy used in testing. Regression testing is time consuming, but with increase in codebases is making it more time extensive and time consuming. Making regression testing time efficient for continuous integration is the new strategy.   Objectives. This thesis focuses on co-relating code packages to test packages by automating mutation to inject error into C code. Regression testing against mutated code establishes co-relations. Co-relation data of particular modified code packages can be used for test selections. This method is most effective than the traditional test selection method. For this thesis to reduce the mutation costs selective mutation method is selected. Demonstrating the proof of concept helps to prove proposed  hypothesis.   Methods. An experiment answers the research questions. Testing of hypothesis on open source C programs will evaluate efficiency. Using this correlation method testers can reduce the testing cycles regardless of test environments. Results. Experimenting with sample programs using automated selective mutation the efficiency to co-relate tests to code packages was 93.4%.   Results. After experimenting with sample programs using automated selective mutation the efficiency to co-relate tests to code packages was 93.4%.   Conclusions. This research concludes that the automated mutation to obtain test selection statistics can be adopted. Though it is difficult for mutants to fail every test case, supposing that this method works with 93.4% efficient test failure on an average, then this method can reduce the test suite size to 5% for the particular modified code package.

Selective laser melting has shown incredible growth as a metallic additive manufacturing process in recent years. While it does provide many solutions and new ways to approach challenges, it does not come without issues of its own, namely, surface roughness. In the as-printed state, the surface roughness of selectively laser melted parts is unacceptable for use in engineering applications. Additionally, selective laser melting is used to produce complex geometries with hard to reach features, preventing conventional mechanical polishing from being successful. Therefore, it is necessary to evaluate non-mechanical polishing processes as treatments for surface roughness. In this study, electrochemical and laser polishing were investigated as potential start-to-finish treatments for the surface roughness of selectively laser melted parts. Following this preliminary study, a follow-up study investigating the effect on the mechanical strength of a lattice design that electropolishing would have. Electropolishing was found to significantly reduce the surface roughness of the as-printed part, but not to a usable value. Additionally, electropolishing was found to be unacceptable for use on lattice parts. Laser polishing was found to significantly reduce the surface roughness of the part but had feature size issues preventing a perfectly smooth surface.

Partial circuit replication is a soft error mitigation technique that uses redundant copies of a circuit to mask or detect the effects of soft errors. By masking or detecting the effect of soft errors on SRAM-based FPGAs, implemented circuits can be made more reliable. The technique is applied selectively, to only a portion of the components within a circuit. Partial application lowers the cost of implementation. The objective of partial circuit replication is to provide maximal benefit at limited or minimized cost. The greatest challenge of partial circuit replication is selecting which components within a circuit to replicate. This dissertation advances the state of the art in the effective use of partial circuit replication for masking and detecting soft errors in SRAM-based FPGAs. It provides a theoretical foundation in which the expected benefits and challenges of partial circuit replication can be understood. It proposes several new selection approaches for identifying the most beneficial areas of a circuit to replicate. These approaches are applied to two complex FPGA-based computer networking systems and another FPGA design. The effectiveness of the selection approaches are evaluated through fault injection and accelerated radiation testing. More benefit than expected is obtained through partial circuit replication when applied to critical components and sub-regions of the designs. In one example, in an open-source computer networking design, partial circuit replication masks and detects approximately 70% of failures while replicating only 5% of circuit components, a benefit-cost ratio of 14.0.

The spread of the Covid-19 pandemic has been since its early beginnings accompanied by the spread of the so called 'infodemic' of misinformation and conspiracy theories about the virus in the media. This infodemic swiftly started to present a matter of significant concern especially in the dynamic landscape of digital media which due to an ease of sharing and content contribution allowed for Covid-19 conspiracy theories to continue to gain momentum. Because of the severe implications that the potential ill-informed actions of conspiracy theory believers could have on the public health, it is necessary to gain a better understanding of the conspiracy theory believers and the way that they spread Covid-19 conspiracy theories. With this in mind, this thesis through the use of qualitative interviews probed into the worldviews of Covid-19 conspiracy theory believers in the Czech Republic. The analytical scrutiny of the interviews through the lens of the theories of network society, context collapse and echo chambers provided important insights into how Czech Covid-19 conspiracy theory believers use digital media in order to learn about and disseminate Covid-19 conspiracy theories. Additionally, this thesis provides an understanding of how the way the conspiracy theory believers navigate context collapse on Facebook drives them to seek echo chambers on e-mail which strengthen their beliefs in Covid-19 conspiracy theories. Moreover, my thesis also sheds light onto how the echo chambers are instrumental in the individuals' distrust in traditional media.

A drill tool body operates under tough cutting conditions where it is subjected to severe rubbing at the drill flute margin by the sliding chips. The tool wear caused by the contact stresses of the high-speed sliding chips is one of the common damage mechanisms observed in drill tool bodies. The present investigation is aimed at evaluating the wear properties, mechanical properties and tribological characteristics of the selective laser melting (SLM) produced drill bodies of Co-alloyed tool steels. Two different maraging steel powders, Modified 18Ni300 and Osprey MAR were the materials of interest in this work. A ranking was obtained after a detailed examination to select the most suitable cutting tool body material for drilling application. The microstructures of SLM-produced materials after aging were carefully characterized and analyzed. The result shows that both the materials are composed of fine dendritic cellular structures and even exhibit melt pool boundaries. The microhardness values taken on the as-polished samples indicate that Modified 18Ni300 is marginally harder than Osprey MAR. The material pick-up tendency, friction characteristics and wear properties of the two material samples at room temperature were also evaluated using a scratch tester and a pin-on-disc tribometer. The wear volume for the scratch test and the pin-on-disc test was quantified by a 3D optical profilometer. The overall coefficient of friction (COF) and the wear volume was considerably higher for Osprey MAR than Modified 18Ni300 in scratch testing. The increase in COF for Osprey MAR can be attributed to the build-up edge adhered to the moving stylus. Wear characterization of the scratched surface shows secondary plowing which validates the adhesion tendency of Osprey MAR. The results from the pin-on-disc test conform to the scratch results displaying marginally lower COF and wear volume for the Modified 18Ni300 disc specimen. The higher volume loss of pin manufactured from workpiece material SS2541 used against Modified 18Ni300 disc substantiates the better wear characteristics of this material. Characterization of wear on the surface and cross-section of disc samples suggests that the total wear is the result of adhesion by delamination and build-up edge, abrasion, and cellular fracture at the interacting interface. Machining application tests were also conducted to study the chip wear characteristics and facilitate the ranking of the materials concerning wear resistance. Chip breaker wear test was performed with chip breakers of two different surface topography, milled and ground, to evaluate the effect of surface texture and roughness on the wear behavior. The result shows adhesion on the chip breaker surface for both the materials of interest. The wear is higher in Osprey MAR than Modified 18Ni300 in both milled and ground conditions. A series of actual drill tests from SLM-produced drill bodies indicates wear at the drill flute margin. The drill body material at the chip flute margin is abraded by the sliding chips for Osprey MAR exhibiting greater wear than Modified 18Ni300 in which case the flute margin is intact. Adhesion is also seen at the flute surface for both materials. EDS analysis undertaken at the site of wear confirms the adhered material is of the workpiece SS2541. The results from all the aforementioned tests suggest that Modified 18Ni300 has better wear resistance than Osprey MAR. It also indicates that the cellular microstructure of SLM-produced maraging steels is not suitable for sliding wear resistance.

To assess the long-term effects of antidepressant medication on balance, equilibrium, and postural reflexes, we studied 30 patients, ages 20-76 years, who had a diagnosis of depressive disorder (as defined by DSM-III-R criteria) and had been treated with tricyclic antidepressants (TCAs) or selective serotonin reuptake inhibitors (SSRIs) for ≤1 year. They were assessed by a Balance Master System. The assessment included three tasks: static balance, rhythmic weight shift, and limits of stability. When compared with 30 nonhospitalized healthy controls (of comparable age and the same sex), patients who took TCAs showed impaired balance function in all main indices. The results suggest that the impairment of balance function includes motor coordination, fine-motor control, postural reflexes,maintaining equilibrium, and reaction time. No obvious impairment of balance function was observed in patients who took SSRIs.

Ultrasound-guided selective C5 nerve root blocks have been described in several case reports as a safe and effective means to anesthetize the distal clavicle while maintaining innervation of the upper extremity and preserving diaphragmatic function. In this study, cadavers were injected with 5 mL of 0.5% methylene blue dye under ultrasound guidance to investigate possible proximal and distal spread of injectate along the brachial plexus, if any. Following the injections, the specimens were dissected and examined to determine the distribution of dye and the structures affected. One injection revealed dye extended proximally into the epidural space, which penetrated the dura mater and was present on the spinal cord and brainstem. Dye was noted distally to the divisions in 3 injections. The anterior scalene muscle and phrenic nerve were stained in all 4 injections. It appears unlikely that local anesthetic spread is limited to the nerve root following an ultrasound-guided selective C5 nerve root injection. Under certain conditions, intrathecal spread also appears possible, which has major patient safety implications. Additional safety measures, such as injection pressure monitoring, should be incorporated into this block, or approaches that are more distal should be considered for the acute pain management of distal clavicle fractures.

Selective laser melting (SLM) is a method of additive manufacturing that has become increasingly popular in recent years for fabricating complex components, especially in the medical and aerospace industries. By fabricating components in a layerwise fashion, SLM provides users the freedom to design components based on their desired functionality rather than their manufacturability. The current state-of-the-art for SLM is limited though, as defects induced by the SLM process have proven to greatly alter the material properties of fabricated parts. In addition, traditional post-process nondestructive inspection methods have experienced significant difficulty in accurately detecting these process-induced defects. Therefore, the objective of this study is to investigate methods of processing and analysis for optical in-situ monitoring data recorded during SLM fabrication of six test samples. Four of the samples were designed with seeded (i.e., intentional) defects located at their center to serve as a reference defect signatures in the resulting in-situ data. An off-axis optical tomography (OT) sensor was used to capture near-infrared (NIR) melt pool emissions during the fabrication of each layer. Image analysis was subsequently performed using a custom squared difference (SD) operator to enhance defect signatures in the OT data. Results from the SD operator were then used to perform k-means clustering to partition the data into k relevant clusters, where the optimal number of k clusters for each image is employed as metric for detecting the onset of defects in the samples. By employing OT image data from samples containing seeded intentional defects, the k-means clustering approach was investigated as a method of defect detection for the in-situ OT images. Results showed that the SD operator is capable of elucidating anomalous signatures in the in-situ data. However, variations within the SD distributions ultimately limited detection capabilities as the output from k-means clustering was unable to accurately distinguish the seeded defects from the fused regions of material.

No description available.

Spatial-based attention is shown to vary in strength over short intervals of time. Whether object-based selection also has similar temporal variability is not known. Egly, Driver and Rafal (1994) demonstrated using 2-rectangle displays how both spatial and object-based selection engages in processing of a visual scene. In Experiment-1 using the 2-rectangle paradigm we measured temporal variability of target detection by presenting targets at a variable SOA. In Experiment-2, we used 4-squares to preclude any object-based selection and measured temporal variability in target detection at similar locations as in Experiment-1. We found target detection to be periodic in delta and theta hertz rhythm in both Experiment-1 and Experiment-2 upon comparing corresponding cue-valid and same-object locations. Similar spectral profiles across experiments indicate a split-spotlight of spatial attention that rhythmically monitors cue-valid and other invalid locations. Future experiments are needed to determine whether object-based selection is periodic in nature. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection