Synthesis and Evaluation of Anisomelic acid-like Compounds for the Treatment of HPV-Mediated Carcinomas

The vast majority of cervical and 75% of oropharyngeal carcinomas are triggered by infection with a type of high-risk oncogenic human papillomavirus (HPV). It is well-known that E6 and E7 oncoproteins are critical for viral-induced cancer, and hence, they represent valuable targets for therapeutic intervention in HPV-mediated cancers. Our earlier research on the cembranoid, anisomelic acid (AA) showed that, AA has the potential to induce apoptosis in HPV cells by the depletion of E6 and E7 oncoproteins. The present study describes the structure-activity relationship and the evaluation of synthetic AA like compounds, i.e simplified cembranoid-like structures, as HPV inhibitors against some papilloma cell lines. Both from experimental and computational results, we observed that these compounds induced apoptosis by the same E6/E7-based mechanism as AA, but at earlier time points, thus being far more effective than AA. Further, the data indicated that only part of the structure of AA is required for the molecular action. Based on these results, we identified some novel and potential compounds for specific treatment of HPV-associated carcinomas

Lyn Bakery, Kafe & Katering

This case presents a typical start-up SME. It provides critical scenarios whereby the owner was desperately in need to get her loan approved by the SME Corp so that she could invest in modern technology, that would enable her to churn out the company’s products at a much higher volume per period and compete with her established competitors. However, the loan approval was still pending due to unsatisfactory business accounts reporting. Thus it provides trainees opportunities to analyze and evaluate this case and come up with reports to help Roslina get her loan application documents considered favorably

Investigation of functionally graded lattice structure fabricated by 3D printing

This study investigates the potential of functionally graded lattice structures (FGLs) fabricated by 3D printing. The primary objective is to evaluate the mechanical properties of both uniform lattice structures and FGLs using simulation software to analyse their elasticity and plasticity in response to loading conditions. A literature review of lattice structures and their potential applications are conducted, and computer-aided design (CAD) software is utilized to design and fabricate the lattice structures. Laser powder bed fusion (LPBF) is used to 3D print the optimal lattice structures, and compressive testing is carried out to evaluate their mechanical properties. Results show that FGLs exhibit superior mechanical properties compared to uniform lattice structures, with better elasticity and plasticity. The 3D printing process using LPBF is successful in fabricating the designed lattice structures, and compressive testing results show that the manufactured FGLs have higher strength and stiffness compared to the uniform lattice structures. Overall, this study contributes to the development of lattice structures that exhibit optimal mechanical properties for various engineering applications.Bachelor of Engineering (Mechanical Engineering

A Truly 3D Visible Light Positioning System Using Low Resolution High Speed Camera, LIDAR, and IMU Sensors

Camera based visible light positioning (VLP) can be promising for indoor positioning applications powered by the widespread use of light emitting diodes (LEDs) in lighting applications. Most of the VLP works in the literature have either implemented two-dimensional (2D) indoor positioning or assumed that the height of the ceiling is either fixed or known. In this paper, the real-time height of the ceiling from the receiver is taken into consideration to make the three-dimensional (3D) positioning possible in practical use case scenarios. A low cost light detection and ranging (LIDAR) sensor has been used to measure the height of the ceiling in real time to estimate the location in 3D space using a single LED transmitter. Additionally, though camera based indoor positioning using the rolling shutter effect, offers high accuracy, its reliability at long distances and robustness against the line of sight (LOS) blockage are still questionable. In this paper, a low resolution, high frame rate camera is proposed for an indoor positioning system with centimeter-scale accuracy. Direct detection has been utilized instead of the rolling shutter effect thus making the system more robust and reliable. A gravity virtual sensor has been used to compensate for the error caused by the tilt of the smartphone. The average 3D positioning error in the proposed VLP system is 6.8 cm. The positioning latency of the proposed system is 54 ms. To the best of the Authors’ knowledge, this is the first reported truly 3D VLP system that works without any prior knowledge of the ceiling height and irrespective of LED shape, size, and arrangement using a single LED. The proposed system is also robust against any partial light blockage by the user’s body and it can also provide coarse location information without any direct LOS between the LED and the camera using reflected lights from the surroundings

A framework of dynamic selection method for user classification in touch-based continuous mobile device authentication

This is an accepted manuscript of a paper published by Elsevier in Journal of Information Security and Applications on 28/05/2022, available online: https://doi.org/10.1016/j.jisa.2022.103217 The accepted manuscript of the publication may differ from the final published version.Continuous authentication can provide a mechanism to continuously monitor mobile devices while a user is actively using it, after passing the initial-login authentication phase. Touch biometric is one of the promising modality to realise continuous authentication on mobile devices by distinguishing between the touch strokes performed by the legitimate and illegitimate users through classification algorithms. While the benefit of the scheme is promising, the effectiveness of different classification methods are not thoroughly understood. Little consideration has been given on the combination of multiple classifiers to perform continuous authentication. In this paper, we propose a novel classification framework for touch-based continuous mobile device authentication (CMDA), utilising dynamic selection of classifiers (DS). Instead of classifying all touch strokes using the same classifier, the proposed framework classifies each touch sample using the most promising classifier(s) from a pool of classifiers. Based on the proposed framework, we evaluated various DS methods in multiple scenarios across four touch datasets. The aim of this evaluation is to assess the feasibility of DS on touch-based CMDA. We then compared these DS methods with well-known single classifiers and static ensemble methods. The experimental results show the potential and feasibility of the DS methods to improve the authentication performance of touch-based CMDA against the benchmark methods. We found that DS methods are capable of producing promising results with relatively low equal error rate (EER) in many scenarios of the datasets, with relatively high consistencies. The obtained results would be valuable for further enhancement of existing user classification methods and the development of new DS methods in touch-based CMDA.Accepted versio

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Abstract Today, elastic optical networks (EONs) are required to accommodate traffic with different service priorities. For example, mission‐critical applications such as industrial internet, smart grids, and remote surgery require an ultra‐reliable low‐latency communication system. The novel impairment‐aware resource allocation scheme proposed here prioritises traffic. It satisfies the quality and latency requirements of mission‐critical traffic while causing minimum disruptions to other forms of low‐priority traffic connections. The results obtained for 6‐node and 14‐node networks under various traffic distribution environments indicate that the proposed algorithm achieves higher spectral efficiency, reduces spectrum fragmentation, and causes minimal disruptions over the benchmark algorithm