Development of amphotericin b Based organogels against mucocutaneous fungal infections

Amphotericin B is a broad spectrum antifungal agent used to treat fungal infections. Organogel is a semisolid preparation in which the apolar phase gets immobilized within spaces of the threedimensional structure. The current study aimed at the formulation and comparative evaluation of sorbitan monostearate organogels and pluronic lecithin organogels (PLO). Different compositions of span 60 based organogels were prepared by varying the concentrations of the span 60 and PLO gels were prepared by varying the concentration of Pluronic F 127. The developed organogels were subjected to various characteristics such as pH, viscosity, spreadability, extrudability, and drug release studies. The optimized formulations were evaluated against Candida albicans and carried out ex vivo release study. The optimized formulation was selected from span 60 based organogels, and pluronic lecithin organogels were S1 and P1, respectively. The optimized formulation (S1) showed effective inhibition against Candida albicans. The skin irritation test was carried out on albino mice for optimized formulations and results showed that no irritation to the skin. Based on the results, organogels prepared by sorbitan monostearate showed better antifungal activity, and also all the formulations were found to be stable and safe throughout the study period

Development of EOG Based Human Machine Interface Control System for Motorized Wheelchair

Abstract Rehabilitation devices are increasingly being used to improve the quality of the life of differentially abled people. Human Machine Interface (HMI) have been studied extensively to control electromechanical rehabilitation aids using biosignals such as EEG, EOG and EMG etc. among the various biosignals, EOG signals have been studied in depth due to the occurrence of a definite signal pattern. Persons suffering from extremely limited peripheral mobility like paraplegia or quadriplegia usually have the ability to coordinate eye movements. The current project focuses on the development of a prototype motor wheelchair controlled by EOG signals. EOG signals were used to generate control signals for the movement of the wheelchair. As a part of this work an EOG signal acquisition system was developed. The acquired EOG signal was then processed to generate various control signals depending upon the amplitude and duration of signal components. These control signals were then used to control the movements of the prototype motorized wheelchair model

A low-cost system for remote access and control of automation equipment

The shift towards remote access and control of equipment has become more prominent, especially due to COVID-19 lockdowns. Access to physical/real equipment for practical learning remains important for engineering studies. Thus, this paper presents an approach for remotely accessing and controlling automation equipment for engineering practical activities. Specifically, it addresses the issue of accessing and controlling machines for programmable logic controller (PLC) programming tasks. The combination of a scheduler, remote desktop access, graphical user interface, and a micro-controller allows students to work remotely on practical equipment. The lab computer can be accessed via a remote computer to select one of multiple equipment for practical activities. A prototype system was constructed as proof of concept. The prototype system functions as required

Social Media as a Catalyst for Digital Entrepreneurship: A Scientometric Review and Visualization Using Citespace, VOSviewer and Biblioshiny

The intersection of social media and digital entrepreneurship has emerged as a significant area of academic inquiry, especially in the context of accelerated digital transformation. This study presents a comprehensive scientometric review of scholarly research exploring how social media platforms act as catalysts for digital entrepreneurial activity. Drawing on 282 peer-reviewed publications from the Scopus database spanning 2012 to 2025, the analysis employs three powerful bibliometric tools—Biblioshiny, VOSviewer, and CiteSpace—to uncover trends in authorship, thematic evolution, co-citation networks, and global research collaborations. The findings reveal a robust annual growth rate in publications (21,06 %), with key themes including digital marketing, innovation, platform-based business models, and influencer-driven entrepreneurship. Co-occurrence and thematic mapping indicate a shift from general discussions on digital platforms to more specialized concerns such as entrepreneurial passion, digital transformation, and AI integration. The analysis also identifies leading contributors, core publication sources, and country-level research output, highlighting strong participation from both developed and emerging economies. This review not only maps the intellectual structure of the field but also identifies critical research gaps and practical implications for policymakers, educators, and practitioners seeking to foster sustainable and inclusive digital entrepreneurial ecosystems

Data Democratisation in the Realm of Digital Transformation : Organisational Approach towards Data Democratisation

The thesis shed light into the connectivity between the Organization and Employees in terms of their acceptance and contribution towards Digital Transformation initiatives through the different elements of Data Democratisation. The study identifies Six key elements of Data Democratisation and how these elements are incorporated to successfully steer Digital Transformation in the organization. The six elements are Data Governance, Data Accessibility, Data Literacy, Data Culture, Data Security and Technology. A combination of Surveys and Literature Review are used to build a foundation for the research. The Democratised tools, Google Forms, Google Analytics and Power-BI are the data analysis methodologies to populate the study results. The results contribute to the organisations, seeking to optimize their Digital Transformation initiatives through Data-Driven methods over traditional Information Technology.   Keywords: Data Democratisation, Digital Transformation, Data Democratization, Elements of Data Democratisation

Analysis of Transient and Steady State Vehicle Handling with Torque Vectoring

Advanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGV) have the potential to increase road transportation safety, environmental gains, and passenger comfort. The advent of Electric Vehicles has also facilitated greater flexibility in powertrain architectures and control capabilities. Path Tracking controllers that provide steering input are used to execute lateral maneuvers or model the response of a vehicle during cornering. Direct Yaw Control using Torque Vectoring has the potential to improve vehicle's transient cornering stability and modify its steady state handling characteristics during lateral maneuvers. In the first part of this thesis, the transient dynamics of an existing baseline Path Tracking controller is improved using a transient Torque Vectoring algorithm. The existing baseline Path Tracking controller is evaluated, using a linearized system, for a range of vehicle and controller parameters. The effect of implementing transient Torque Vectoring along with the baseline Path Tracking controller is then studied for the same parameter range. The linear analysis shows, in both time and frequency domain, that the transient Torque Vectoring improves vehicle response and stability during cornering. A Torque Vectoring controller is developed in Linear Adaptive Model Predictive Control framework and it's performance is verified in simulation using Simulink and CarSim. The second part of the thesis analyzes the tradeoff enabled by steady state Torque Vectoring between improved limit handling capability through optimal tire force allocation and drivability demonstrated by understeer gradient. Optimal tire force allocation prescribes equal usage in all four tires during maneuvers. This is enabled using steering and Torque Vectoring. An analytical proof is presented which demonstrates that implementation of this optimal tire force allocation results in neutralsteering handling characteristics for the vehicle. The optimal tire force allocation strategy is formulated as a minimax optimization problem. A two-track vehicle model is simulated for this strategy, and it verified the analytical proof by displaying neutralsteering behavior.Master of ScienceAdvanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGVs) have the potential to increase road transportation safety, environmental gains, passenger comfort and passenger productivity. The advent of Electric Vehicles (EVs) has also facilitated greater flexibility in powertrain configurations and capabilities that facilitate the implementation of Torque Vectoring (TV), which is a method of applying differential torques to laterally opposite wheels to enhance the cornering performance of ground vehicles. Path Tracking (PT) controllers that provide steering input to the vehicles are traditionally used for lateral control in AGVs and ADAS features. The goal of this thesis is to develop Torque Vectoring algorithms to improve a vehicle's stability and shape its steady state behaviour through a corner during low lateral acceleration maneuvers. An existing baseline Path Tracking controller is selected and evaluated. The effect of implementing Torque Vectoring along with this Path Tracking controller is studied and it is found to improve the stability of the vehicle during cornering. This is verified in simulation by designing and implementing the Torque Vectoring algorithm. Finally, a Torque Vectoring strategy is proposed to manage the handling of the vehicle during low acceleration cornering

Data Democratisation in the Realm of Digital Transformation : Organisational Approach towards Data Democratisation

The thesis shed light into the connectivity between the Organization and Employees in terms of their acceptance and contribution towards Digital Transformation initiatives through the different elements of Data Democratisation. The study identifies Six key elements of Data Democratisation and how these elements are incorporated to successfully steer Digital Transformation in the organization. The six elements are Data Governance, Data Accessibility, Data Literacy, Data Culture, Data Security and Technology. A combination of Surveys and Literature Review are used to build a foundation for the research. The Democratised tools, Google Forms, Google Analytics and Power-BI are the data analysis methodologies to populate the study results. The results contribute to the organisations, seeking to optimize their Digital Transformation initiatives through Data-Driven methods over traditional Information Technology.   Keywords: Data Democratisation, Digital Transformation, Data Democratization, Elements of Data Democratisation