Assam Don Bosco University Journals
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Information and Communication Technology as a crucial tool in NEP’s reform agenda
Full text linkAn essay on the empahsis of ICT tools in National Education Policy of India
Policy Implementation Process and Management of Universal Basic Education: The Evidence for Practice
Full text linkThis study's primary objective was to examine the relationship between the policy implementation process and management of Universal Basic Education (UBE)). Insufficient funds, inadequate teacher empowerment, and poor planning, all represent significant obstacles to the effective management of UBE. to execute UBE successfully. It is necessary to improve teachers’ training, provision of sufficient facilities, and home-grown school feeding to support strong classroom management, quality instruction, and self-reliant learners. The study adopted a quantitative research design. In the North-West zone of Nigeria, a sample of 712 participants was randomly chosen from the public primary and junior secondary schools. The hypotheses were tested using the Pearson product-moment correlation coefficient and linear regression analysis. Using proportionate random selection, 712 participants were selected from the sampled primary and junior secondary schools in the northwest of Nigeria. The study's conclusions showed that the effective management of UBE was more successful when there was teacher training, provision of school facilities, and home-grown school feeding. To ensure effective management of Universal Basic Education, it was recommended that managers in the field of education should be allowed to attend professional development and capacity-building training. Similarly, the government and stakeholders at all levels should provide the education sector with the necessary facilities to increase the overall motivation of teachers and learners and boost teacher engagement in the classroom. Additionally, the government should continue the program of Universal Basic Education home-grown school feeding to improve students’ achievement towards effective management of Universal Basic Education. Keywords: Management; Home-grown School feeding, Process; Policy; Implementatio
Entrepreneurial Ecosystem in Higher Education Institutions of North-East India: Challenges and Opportunities
No full textHigher educational institutions are the crucial ground for changing minds and building an entrepreneurial mindset among the young generation. HEIs are responsible for converting individuals from job seekers to job creators. The ecosystem is the most important factor for sustaining entrepreneurship. This paper tries to highlight the different policy frameworks at both the national and regional levels, challenges, and opportunities faced by the educational institutions in providing an environment for entrepreneurship. Multiple schemes have been introduced by the government, but region-specific implementation is necessary for desired results. Therefore, this narrative review paper focused on how important it is to adapt to regional-centric frameworks so that the challenges (infrastructural, financial, and accessibility) can be overcome and the opportunities can be catered to. North-East India has a huge potential to improve their economy by becoming a job creator region in the agricultural, digital, and tourism sectors
A Review on Optimization of PV-TEG Hybrid Model
Full text linkThe integration of photovoltaic (PV) panels and thermoelectric generators (TEGs) in a hybrid energy system is a promising development in renewable energy technology. The hybrid system is based on combining the strengths of both PV and TEG technologies to maximize energy production and efficiency. While PV panels are efficient in converting sunlight into electricity, their performance often suffers due to heat losses, especially at high temperatures. The use of TEGs addresses this challenge through the capture of waste heat produced by the PV panels and its conversion into further electrical energy by the Seebeck effect, thereby increasing the overall energy output. In this review, a systematic literature analysis has been conducted through various case studies, and simulation-based research relevant to PV-TEG hybrid systems. These were assessed based on performance metrics, design configurations, material innovations, and thermal management techniques. The review methodology includes a structured analysis of experimental studies, and numerical simulations. Sources have been selected based on relevance to system performance, material properties, and design innovations. This analysis highlights that PV-TEG hybrid systems can enhance overall energy conversion efficiency by 10–20% in optimized configurations. It is seen that power output improved with bismuth telluride-based modules, enhanced cooling using heat sinks and phase change materials, and better power tracking using intelligent MPPT algorithms. Thus, it is crucial to pay more attention to thermal management, material selection, and system design in order to optimize PV-TEG hybrid systems. Proper thermal management enhances TEG performance, and there are efficiency gains concerning the PV panels under all environments. Advanced heat sink design with high-performance thermal interface materials can significantly enhance both energy conversion efficiency and heat dissipation. It is observed that PV-TEG systems can reduce reliance on conventional energy sources, offering more sustainable and efficient alternatives to power generation. Challenges with material compatibility, cost, and scalability remain major barriers to the practical implementation of these systems, and continued research into finding cost-effective materials and innovative system designs will be necessary. In future studies, the focus should be put on the discovery of new thermoelectric materials and scaling up the techniques involved in system integration. PV-TEG hybrid systems would then be a far better choice for the world's global energy crisis
Application of Linear Programming for Optimal Allocation of a Diesel- PV Hybrid Power System
Full text linkTo address escalating electricity prices and more frequent power cuts in developing countries, hybrid energy systems, including solar and diesel generation, are being installed to ensure reliability and reduce costs. Linear programming can size hybrid systems for operation and cost-effectiveness. Linear programming helps determine the optimal dispatch strategy to improve system reliability, reduce emissions, and lower the associated costs in hybrid generation networks through the formative articulation of objective functions and constraints. The work presented in this paper shows the application of linear programming as an efficient optimization tool for solving an allocation problem involving a hybrid power system problem. Eight load points will be allocated to eight hybrid power sources involving diesel generators and a solar photovoltaic (PV) system. By solving the linear programming, it is shown that the optimal allocation of the power to the load can be done using diesel generators alone or using hybrid power generators, i.e., by using solar power generators along with diesel generators. The allocation algorithm can efficiently allocate the hybrid power generators to the load, thereby helping mitigate power loss and ill effects of pollution from diesel generators
Upholding Tradition, Embracing Digital: The Sachin Mishra Story
Full text linkThis case study explores the inspiring journey of Sachin Mishra, a young astrologer and motivational speaker from a Brahmin family in Kaushambi, Uttar Pradesh, India who transformed his offline traditional family business into a digital entrepreneurial business through YouTube Live Chat. Inspired by Acharya Om Prakash Kaushik, a famous astrologer on YouTube, Sachin saw the potential to reach a global audience and earn through Super Chats. The case demonstrates the importance of consistency, knowledge, community engagement, digital monetization strategies and ethical dilemmas. Despite facing initial challenges and understanding YouTube’s associated risks, Sachin’s consistency, knowledge, and strategic engagement enabled him to create a successful digital career while upholding his family tradition
BREAKING THE BIOFILM: Pouzolzia zeylanica vs. MULTIDRUG-RESISTANT Candida auris
No full textAbstract: Candida auris is a multidrug-resistant fungal pathogen that poses serious global health challenges due to high mortality and rapid spread. Its resistance to conventional antifungals necessitates the search for novel therapies. In this study, an in silico drug design approach was used to evaluate bioactive compounds from Pouzolzia zeylanica (L.) Benn, a medicinal plant with diverse therapeutic properties. The target enzyme 14-alpha-demethylase, critical for ergosterol biosynthesis, was modelled using Swiss Model, Phyre2, and GalaxyWeb servers, with refinement and validation. Ligands were screened with SwissADME and Drulito for drug-likeness, followed by docking in AutoDock Vina. Compounds showed strong binding affinities of –8.2 and –8.4 kcal/mol, suggesting potential antifungal activity that warrants further experimental validation
QUARANTINE-BASED SEIRA MALWARE PROPAGATION MODEL FOR COMPUTER NETWORKS
No full textOne of the high-profile issue of computer networks is the propagation of Malware and it get disrupted by the malware’s presence. In this study, we extend the classical SEIRA (Susceptible–Exposed–Infectious–Recovered–Antidotal) model by including a quarantined compartment (Q) to represent infected machines that are detected and isolated from the network. In the SEIQRA model, the quarantine approach has been used to halt the infection spread in computer networks. The model’s basic reproduction number (R0) is derived using next generation approach. We examined the model's local stability in terms in the system's Jacobian for malware free and endemic equilibrium based on the basic reproduction number. Numerical simulations demonstrate that higher quarantine rates and stricter isolation significantly reduce the peak infection size and overall outbreak impact. In order to effectively contain malware, the model emphasizes the significance of integrating quarantine with protective adoption and recovery methods. Finally, numerical methods and MATLAB are employed to solve and simulate the system of equations developed and analysis of the model gives remarkable exposure
