An interdisciplinary approach to restore missing maxillary lateral incisor with Orthodontics and Implant Prosthodontics: A Case Report

Abstract The absence of the maxillary lateral incisors create an asthetic problem that can be managed with different treatment modalities. Comprehensive treatment planning is required to achieve a satisfactory result, keeping in mind the aesthetics, function and periodontal stability. An interdisciplinary treatment approach is beneficial and involves orthodontic closure of the space with maxillary canine substitution or space opening for single- tooth implants, bridges and tooth-supported restorations. The present case of a 21-year-old female dental student with agenesis of maxillary left lateral incisor with the presence of maxillary left canine in place of lateral incisor, and midline deviation. Treatment included space creation and placement of 3.3mm implant together with bone augmentation, immediate temporization and finally restored with porcelain crown after healing period of three months

An electrochemical sensor concept for the detection of virulence factors from <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i>

This work presents an electrochemical sensor concept for bacterial toxin detection using biomimetic lipid vesicles containing potassium ferricyanide. The toxin mediated release of redox couples from the vesicles was quantified by measuring the redox current on screen printed electrodes, and the detection limits to rhamnolipid, delta toxin and bacterial supernatants from clinical wound pathogens were examined. Overall detection limits of both redox and carboxyfluorescein containing vesicles were one order of magnitude lower than the cytotoxic dose of studied toxins to T lymphocytes. Keywords: Staphylococcus aureus, Pseudomonas aeruginosa, Lipid vesicles, Potassium ferricyanide, Rhamnolipid, Delta toxi

Development of a high-throughput ex-vivo burn wound model using porcine skin, and its application to evaluate new approaches to control wound infection

Biofilm formation in wounds is considered a major barrier to successful treatment, and has been associated with the transition of wounds to a chronic non-healing state. Here, we present a novel laboratory model of wound biofilm formation using ex-vivo porcine skin and a custom burn wound array device. The model supports high-throughput studies of biofilm formation and is compatible with a range of established methods for monitoring bacterial growth, biofilm formation, and gene expression. We demonstrate the use of this model by evaluating the potential for bacteriophage to control biofilm formation by Staphylococcus aureus, and for population density dependant expression of S. aureus virulence factors (regulated by the Accessory Gene Regulator, agr) to signal clinically relevant wound infection. Enumeration of colony forming units and metabolic activity using the XTT assay, confirmed growth of bacteria in wounds and showed a significant reduction in viable cells after phage treatment. Confocal laser scanning microscopy confirmed the growth of biofilms in wounds, and showed phage treatment could significantly reduce the formation of these communities. Evaluation of agr activity by qRT-PCR showed an increase in activity during growth in wound models for most strains. Activation of a prototype infection-responsive dressing designed to provide a visual signal of wound infection, was related to increased agr activity. In all assays, excellent reproducibility was observed between replicates using this mode

Photopolymerization of polydiacetylene in hybrid liposomes:Effect of polymerization on stability and response to pathogenic bacterial toxins

Liposomes containing lipids and polydiacetylene (PDA) are hybrid systems encompassing both a fluid phospholipid membrane and a polymer scaffold (PDA). However, the biophysical role of PDA in such liposomes is not well understood. In this report, we studied the effects of photopolymerization of PDA on the stability of lipid-PDA liposomes, and their sensitivity to selected purified toxins and bacterial supernatants, using a fluorescence assay. Of the three different types of liposomes with variable lipid chain lengths that were chosen, the degree of polymerization had a significant impact on the long-term stability, and response, to external microbial exotoxins secreted by pathogenic bacteria, namely, Staphylococcus aureus and Pseudomonas aeruginosa. The degree of polymerization of TCDA played an important role in lipid-chain-length-dependent stabilization of lipid-PDA liposomes, as well as in their response to bacterial toxins of S. aureus and P. aeruginosa.</p

Contact pressure measurement

Master'sMASTER OF ENGINEERIN

Thermal properties of polypropylene/clay nanocomposites

127 p.Polymers are materials that are widely used everywhere. Nowadays polymeric composite materials are advanced materials and are being replaced in some of the traditional materials such as metals and alloys. The clay modified polymeric materials are one of the important materials that are being developed and studied. The objective of this work is to study the thermal and mechanical properties of polypropylene/clay nanocomposites. Adding of nanoclay particles helps the polymer matrices to improve their thermal stability, crystallinity and mechanical properties.Master of Science (Mechanics & Processing of Materials

Analysis on Malware Detection with Multi Classifiers on M0Droid and DroidScreening Datasets

The number of applications for smart mobiledevices is steadily growing with the continuousincrease in the utilization of these devices. theInstallation of malicious applications on smartdevices often arises the security vulnerabilities suchas seizure of personal information or the use of smartdevices in accordance with different purposes bycyber criminals. Therefore, the number of studies inorder to identify malware for mobile platforms hasincreased in recent years. In this study, permissionbasedmodel is used to detect the maliciousapplications on Android which is one of the mostwidely used mobile operating system. M0Droid andDroidScreening data sets have been analyzed usingthe Android application package files andpermission-based features extracted from these files.In our work, permission-based model which appliedpreviously across different data sets investigated toM0Droid and DroidScreening datasets and theexperimental results has been expanded. Whileobtaining results, feature set analyzed using differentclassification techniques. The results show thatpermission-based model is successful on M0Droidand DroidScreening data sets and Random Forestsoutperforms another method. When compared toM0Droid system model, it is obtained much bet terconclusions depend on success rate. Our approachprovides a method for automated static code analysisand malware detection with high accuracy andreduces smartphone malware analysis time