Sustainable Construction: Optimization of Microbial Soil Stabilization for Enhanced Construction Materials

Microbially Induced Calcium Precipitation (MICP) has emerged as an effective and sustainable method for soil stabilization, utilizing microbial processes to enhance soil strength through calcium carbonate formation. This research explores the transformation of Mongu sand into a strong construction material using MICP, with a focus on optimizing urease activity, bacterial concentration, and cementation media. Given the scarcity of rock conglomerates in the region but the abundance of sand, this study provides innovative solutions to address this issue by improving and even transforming materials into more suitable forms for construction. MICP presents significant potential for infrastructure development in areas with limited access to conventional materials, with future efforts aimed at scaling the process for larger and more complex projects. The findings provide insights into the optimal parameters for material transformation, revealing that maintaining urease activity between 10-15 µmol urea hydrolyzed per minute per mg of protein and bacterial concentrations of 1.5 x 10⁸ CFU/mL results in a substantial improvement in compressive strength and durability—up to 475% higher than untreated sand. Additionally, the study underscores the effectiveness of Sporosarcina pasteurii in promoting calcium carbonate precipitation, further emphasizing MICP’s potential for soil stabilization and construction in resource-constrained regions

A Review of Literature on Sustainable Supply Chain Management: Challenges and Solutions

Sustainability in supply chain management is crucial approach that combine environmental social and the economic factor into supply chain operation. it increasingly identified as a essential component for achieving environmental, economic and social sustainability within organization. This review strengthens the research insights organised the challenges, factors affecting environment and future trends in sustainability in supply chain management adoption. This paper explores various dimension of sustainability in supply chain management and highlighting the above Research Insights that Shape its implementation. Additionally the route to achieving sustainability are highlighted through innovative structure, technological advancement and policy based solution. The key difficulties such as organizational barrier, financial constraints are analysed alongside possibly presented by industry 4.o, circular economy model and green logistics. Besides, policy and regulatory issue plays a vital role in molding the landscape of sustainability in supply chain management in many zones inadequate government support under vague regulations hinder companies efforts to accept sustainable practices. The paper is structured into several key sections: challenges and barriers of sustainability in supply chain management, environmental factors of sustainability in supply chain management, future trends in sustainability in supply chain management, achieving sustainability in supply chain management. The each section combine existing research and offers insights how these elements connect to Forster sustainability in supply chain

Determinants of the Social Media Influence on the Consumers’ Travel Decision Making Process

Purpose – The purpose of this study is to ascertain how customers use social media for travel-related decision making at their three stages of the travel namely, pre-travel, during the travel and the post travel decision making.  Design/Methodology/Approach – After analyzing the relevant literature, a quantitative investigation was carried out using structured questionnaire. A questionnaire with identified items in the three stages was used to gather the primary data from the consumers who have used social media for their travel related decision making, and a statistical package was used to analyze the findings. Findings – A theoretical framework was developed and the developed model was validated by determining the elements influencing social media use for travel-related reasons at the three stages of decision making. Research Limitations/Implications – The respondents were chosen solely from the state of West Bengal, and the sample was not chosen at random. The study might have a difficulty with generalization, particularly when it comes to marketplaces with significantly distinct cultural traits. Practical Implications – The study\u27s conclusions might help researchers and industry professionals comprehend social media and Web 2.0 technologies and how they affect customers in their travel related decision making. Originality/Value – Social media use is one of the main factors influencing consumer behavior and travel marketing in recent years. Understanding these trends and how they affect consumer behavior is crucial because they could affect how travel-related information is distributed and made accessible

Optimization Forward- Fly back converter using MATLAB

This study offers an examination of forward and flyback converters by emphasizing important performance metrics, including power factor, efficiency, offset current, and core loss. Each topology has benefits and disadvantages of its own. A comparative assessment of performance characteristics is carried out through conversation and observation to overcome these constraints. The results suggest that combining both topologies with suitable switching devices, such as MOSFETs with quick switching capabilities, may improve total performance. This paper also looks at a suggested merged forward-flyback converter architecture and shows how it could be used to make a single-stage system more efficient and improve its power factor

The Role of Internal Controls in Optimizing Hospital Capacity and Staffing Efficiency

Hospitals today encounter persistent challenges in maintaining optimal capacity and achieving staffing efficiency, all while striving to deliver high-quality healthcare services. Fluctuating patient volumes, resource constraints, and staffing shortages can significantly impact operational performance and patient outcomes. Internal control systems are crucial in addressing these challenges by promoting efficiency, ensuring regulatory compliance, and enhancing overall hospital operations. These systems provide a structured framework for monitoring processes, identifying inefficiencies, mitigating risks, and improving resource allocation. This study conducts a comprehensive analysis of hospital capacity and staffing data to uncover critical operational gaps and inefficiencies that hinder effective service delivery. Through detailed evaluation, key factors contributing to capacity bottlenecks and staffing imbalances are identified. Based on the findings, the study proposes a set of targeted internal control mechanisms aimed at strengthening hospital management practices. These recommendations include the implementation of real-time capacity monitoring systems, predictive analytics for staffing optimization, automated scheduling tools, and enhanced workforce management protocols. By integrating these internal control strategies, hospitals can improve operational efficiency, reduce staff burnout, optimize resource utilization, and ultimately enhance the quality of patient care. This research highlights the indispensable role of internal controls in fostering organizational resilience, improving healthcare outcomes, and positioning hospitals for sustainable success in an increasingly complex and dynamic healthcare environment

A Study on the Impact of Snapchat Usage Among Youth in Navi Mumbai: Trends, Influences, and Social Behaviour

Snapchat, a leading platform in ephemeral messaging, has significantly transformed the digital habits of young people around the world. In urban areas like Navi Mumbai, it has evolved beyond being just another social media app—emerging as a powerful tool for self-expression, peer bonding, entertainment, and identity construction. This study explores how youth in Navi Mumbai engage with Snapchat and examines the broader social, psychological, and emotional implications of its use. Using a mixed-method approach through surveys and interviews, the research identifies motivations such as privacy concerns, the desire for authenticity, entertainment needs, and peer pressure. Furthermore, it explores the impact of Snapchat on self-image, social interactions, attention span, and emotional well-being. The research highlights key concerns, including digital dependency, reduced face-to-face communication, and the pursuit of online validation. Practical recommendations are offered for educators, parents, and policymakers to promote healthier, more balanced digital practices among youth

Powder Metallurgy Processed W-Cu Composites: A Microstructural Study

This study assesses the microstructure and elemental concentration of W–Cu composites with fixed ratios of tungsten and copper (W80Cu20, W70Cu30, W60Cu40) using Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS). Backscatter electron mapping through SEM shows the dispersion and characteristics of the tungsten and copper-phase carried in the matrix, whereas EDS characterizes semiquantitatively and identifies the W, Cu, C, and O content in the compositions. The distribution of which portrays an increased Cu content as well as reduced W content with increased Cu ratio, with minor carbon and oxygen present, possibly pre-process contamination. The results obtained here are in line with previous works established from this research that SEM and EDS are suitable methods of analyzing phase distribution, homogeneity and elemental composition in W–Cu composites for enhancing the processing parameters and mechanical and functional properties. Thus, the combination of SEM and EDS allows a deep investigation of the influence of the microstructure on the properties of W–Cu composites and accomplishments of their intended aims and tasks in the frame of modern science and engineering

Customer Perception on AI-Enabled 3D Graphics in E-commerce Platforms

The incorporation of AI-enabled 3D graphics is transforming the e-commerce sector by enhancing how customers experience products online. This study investigated customer perception of AI-driven 3D graphics on e-commerce platforms, focusing on their impact on engagement, satisfaction, and purchasing decisions. With features like virtual try-on and interactive 3D product views, e-commerce platforms are addressing traditional online shopping limitations, allowing customers to visualize products more accurately and make informed choices. This research explored how users perceive the benefits of these tools in terms of trust, ease of use, and product understanding. Through a survey- based approach, the study analyzes various factors influencing customer perception, such as the added value of 3D graphics, demographic influences, and previous digital experience. The findings aim to reveal how AI-driven 3D graphics can enhance customer engagement and reduce uncertainty, while also identifying potential limitations related to usability and realism. This paper seeks to provide insights into the role of AI-enabled 3D graphics in improving customer experience and driving higher conversion rates on e-commerce platforms. Recommendations are offered for businesses looking to optimize these tools to meet evolving customer expectations and enhance the digital shopping experience. The rapid advancement of Artificial Intelligence (AI) and 3D graphics technology has transformed the e-commerce landscape, enhancing customer experiences through immersive and interactive visual representations. This study aims to explore customer perceptions of AI-enabled 3D graphics in e-commerce platforms, focusing on their impact on purchasing decisions, engagement, and trust in online shopping. The research investigates key factors such as realism, interactivity, ease of use, and personalization to determine their influence on customer satisfaction. Through a combination of surveys and case studies, this study seeks to provide insights into consumer attitudes, expectations, and potential challenges associated with AI-powered 3D graphics

A Study on Change Management at Organisations

Change management is a critical aspect of modern organizational strategy, aiming to facilitate smooth transitions and ensure sustained productivity and morale during periods of change. Change Management encompasses with the virtues of evaluating the current status, planning the transition of the momentum and leading to a coordinal future. Kurt Lewin through his Change Model Unfreeze – Change- Refreeze explains Change as a process & not an event. Change management is the process, tools and techniques to manage the people side of change to achieve the required business outcome. Change management incorporates the organizational tools that can be utilized to help individuals make successful personal transitions resulting in the adoption and realization of change. Change management is a structured approach to help organizations transition from their current state to a desired one. This study explores the intricacies of change management within organizations, examining the strategies employed to manage change, the challenges encountered, and the outcomes achieved. A descriptive study, conducted by the help of the secondary data aims to study the strategies adopted towards Change Management by the Organizations. The study further aims to understand the significance of Change Management at Organizations. The authors also contribute a Model towards Change Management. Through a comprehensive review of literature, this paper identifies key factors that contribute to successful change management, including leadership, communication, employee involvement, and adaptability. The findings provide valuable insights for organizations seeking to navigate change effectively and underscore the importance of a structured approach to managing transitions. The inferences are indicative in nature

Mitigating Security Threats in IoT Networks Using Big Data Analytics and On-Device Modeling

The rapid increase of IoT devices created the modern digital infrastructures but it has also added crucial security challenges due to the scale and heterogeneity of IOT devices. This paper presents a collaborative security framework model that uses big-data analytics & Hybrid on-device modelling that allows us to address the security threats appearing in an IoT ecosystem. The framework uses big data analytics to process huge amounts of IoT traffic data in real time, recognizing patterns, detect possible threats and creates a miniature model that can be deployed on IOT device.  On-device modeling helps to ensure that threats can be handled right there on-device, limiting cloud-based infra and latency dependencies. The framework also focus on using an AHD Model (Anomaly Hash-out Delta) using device behavior profile for permissible actions, which helps anomaly handling in a very lightweight machine learning model