Volume 12 | Issue 11 |

 Abstract

The survey aims at predicting diabetes using participant data from PIMA through creating an accurate model capable identifying individuals with a high likelihood of being affected. A number of machine learning models have been tested in the process, such as KNN, random forest (LDA), Naive Bayes, XG Boost's package method, neural networks, SVM techniques, and LR techniques. The three stages involved in this effort are Model Building, Feature Selection, and Data Pre-Processing. In order to evaluate and train every model, certain metrics has been employed. It has 92% accuracy rating within the model pool. The significance of this research is that it may be used to diagnose diabetes in the earliest stages, resulting in prompter intervention. The paper has shown the effectiveness of machine learning algorithms in predicting future possibilities of diseases caused by over consumption of sugary substances. These models can be trusted upon since they provide 92% accuracy level on evaluating potential threats and giving out proper information needed for coming up with favorable health outcomes (diagnosis support tools).

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 Keywords

Diabetes Prediction, Machine Learning Algorithms, Feature Selection, PIMA dataset , Performance Metrics, Early Detection and Healthcare Outcomes

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This conceptual article explores character strengths that enhance entrepreneurial success across various stages of venture development, namely opportunity recognition, business concept refinement, resource acquisition, survival, and growth. Drawing from an extensive literature review, we present a framework linking specific character strengths to each developmental stage. In the opportunity recognition stage, strengths like curiosity, creativity, open-mindedness, and hope are essential. During business concept refinement and resource acquisition, traits such as bravery, integrity, love of learning, social intelligence, and kindness play a key role. For the survival and growth phase, persistence, self-regulation, zest, humour, leadership, teamwork, and fairness are crucial. We further propose that perspective helps entrepreneurs accumulate valuable experience, enabling them to recognize and seize new opportunities. This study holds important implications for entrepreneurs, emphasizing self-awareness as a tool for development, and for investors, advocating investment in entrepreneurial strengths alongside the business itself. Additionally, this research enhances understanding of how individual character differences shape entrepreneurial actions and their outcomes, offering insights into phenomena like entrepreneurial alertness and business planning. It contributes to a broader understanding of not only market entry but also pre-entry and post-entry processes in the entrepreneurial journey.

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Entrepreneurial Process, Talents, Traits, VIA, Character Strengths.

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This study examines the relevance of Srimad Bhagavad Gita teachings in leadership, personal development, and spiritual growth. Through discussions on duty (karma), selfless action (nishkama karma), sacrifice (yagya), self-awareness, integrity, knowledge acquisition and yoga the Srimad Bhagavad Gita presents a timeless framework for balance and fulfilment in life. This paper highlights these ideas, incorporating teachings that deepen understanding of such themes in modern management contexts.

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Insights from the Srimad Bhagavad Gita for Managers

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This study evaluates the awareness and understanding of the Life Insurance Corporation of India's (LIC) Index Plus Policy among residents of Bengaluru. Despite LIC's strong brand recognition, only 40% of surveyed policyholders are aware of the Index Plus Policy, indicating a knowledge gap regarding its features and benefits. The research reveals that while a majority of respondents own insurance policies, familiarity with specific products, such as the Index Plus, is limited. Key findings show that only 35% fully comprehend guaranteed additions, and just 41.25% are aware of the option for partial withdrawals. The study emphasizes the need for targeted marketing, enhanced communication strategies, and greater use of digital media to improve understanding of the Index Plus Policy. By addressing these gaps, LIC can empower policyholders to make informed financial decisions, ultimately fostering greater financial security and stability in Bengaluru's evolving landscape.

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 Keywords

LIC, Index Plus Policy, financial literacy, insurance, Bengaluru, policyholders

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Creative Commons Attribution 4.0 and The Open Definition

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Solid lipid nanoparticles (SLBN) have been developed as an alternative to other pharmaceuticals such as polymeric nanoparticles, liposomes, and emulsions. Generally speaking, SLBN are divided into two types: solid lipid nanoparticles (SLN) and nanostructured lipid carriers (NLC). The difference between SLN and NLC lies in the properties of the particle matrix. SLBN can be prepared by various methods, including high-pressure homogenization, solvent emulsion (or diffusion) evaporation, and microemulsion technology. Lipid nanoparticles (SLN) were first reported in 1991 as an alternative to known colloidal agents such as emulsions, liposomes, and polymeric microparticles and nanoparticles. SLN has the advantages and capabilities of the original model, except for avoiding some disadvantages and technical knowledge. This article reviews the manufacturing technology, drug composition, drug transport and release potential of SLN with specific indications for drug delivery. Issues related to the introduction of SLNs into the pharmaceutical industry, such as the status of additives, liposomes and polymeric nanoparticles. This article discusses various lipid matrices, surfactants and other excipients used in SLN formulations, preparation methods, sterilization and lyophilization. The encapsulation efficiency of drug carriers and its effect on physical parameters, drug release and release mechanisms of various compositions are reviewed and discussed. Key points in the behavior and stability of SLNs are described. In vivo tests as well as various in vitro studies conducted by different research groups are discussed. The ability of SLNs to be administered by various administration methods is covered. Passive and active drug targeting using SLNs is described.

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Solid lipid nanoparticles, SLNs, Nanotechnology, Drug delivery, preparation method, Administration, tumors.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Historically, teenagers have been behind adults in terms of cell phone ownership; however, recent survey data from the Pew Internet & American Life Project indicates that individuals aged 17 to 21 are increasingly bridging this gap. The Project initiated its examination of teenagers' mobile phone usage during the 2004 Teens and Parents project, which revealed that 85% of teenagers owned a cell phone at that time. Since then, the prevalence of mobile phone usage among those aged 17 to 21 has consistently increased, reaching 63% in the fall of 2021 and escalating to 71% in early 2016. In contrast, by a similar period in 2016, 77% of all children and 88% of parents possessed a cell phone or other mobile device. As of our latest tracking survey conducted in April 2016, cell phone ownership among children has risen to 85%. The project is currently in the process of surveying teenagers and their parents, with new data expected to be released in early 2021. Objectives: To assess the pre test existing knowledge on impact of social media among BSc nursing students studying at selected nursing colleges in Sagar Madhya Pradesh. To evaluate the effectiveness of structured teaching programme on impact of social media among BSc nursing students. To assess the post test level of knowledge. To find out association the post test score on impact of social media with selected demographic variables among BSc nursing students studying at selected nursing colleges in Sagar Madhya Pradesh. RESERCH APPROCH Quantitative research approach RESEARCH DESIGN The research design was used in this study is pre experimental design (one group pretest-post test) with manipulation, no randomization and no control group. SAMPLE SIZE 60 nursing students studying in various Nursing colleges at Sagar. SAMPLING TECHNIQUE Non probability convenient sampling technique. The finding of the study revealed a high statistical significance in comparing with pre and post-test of knowledge regarding impact of social media among college students after receiving structured teaching programme. Post test percentage of knowledge on impact of social media among college age students. They were having maximum knowledge in Physical, psychological, social, studies problems (85.56%) and minimum knowledge score in Advantages and disadvantages (78.89%). Overall post test percentage of knowledge score is 82.48% on impact of social media among college age students. In general none of the students are having inadequate level of knowledge score, 18.3% of them were having moderate level of knowledge score and 81.7% of them were having adequate level of knowledge score.

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 Keywords

Knowledge, Impact, Social Media

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Creative Commons Attribution 4.0 and The Open Definition

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Human interaction necessitates effective communication, and for those with speech impediment or Hard of hearing, sign language is a crucial communication tool. However, barriers between these individuals and the rest of the population are often caused by the absence of widespread awareness of sign language. To tackle this, a real-time system which utilizes deep convolutional neural networks for converting hand gestures in ASL into text and speech has been developed. Monitor, segment, gesture capture, extract feature, recognise gesture, and convert text-to-speech are some of the crucial steps in our method. The system can reliably identify and convert hand gestures into legible text and audible speech since it has been trained on a dynamic collection of hand gestures. The goal of this technology is to enable more seamless communication between people who are deaf and those who don't know sign language. This is a major step towards ensuring accessibility and inclusion because deep learning and CV are used to enhance SLR accuracy in addition to bridging communication gaps.

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 Keywords

speech or hearing impairments, deep CNNs, American sign language (ASL), real-time gesture recognition, hand gesture tracking, feature extraction, text-to-speech conversion, hand gesture dataset, Computer vision, Sign language accessibility, Inclusion through technology, Gesture segmentation, Communication gap bridging

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Creative Commons Attribution 4.0 and The Open Definition

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Nanoparticles are tiny little particles, going from 1 to 100 nm in size. They stand out enough to be noticed because they have unique properties that are not quite the same as bigger particles. Researchers can make nanoparticles utilizing various techniques like combining synthetic compounds as one, utilizing actual cycles like crushing, or, in any event, utilizing living organic entities likes microbes. These minuscule particles have a ton of purposes since we have some control over their properties definitively. They're utilized in things like conveying drugs inside the body, assisting responses with happening quicker in science (called catalysis), making sensors to identify things, working on clinical imaging, and tidying up contamination. Controlling how nanoparticles are made is significant because it assists us with ensuring they have the right properties for what we need to involve them. For instance, in the event that we're making nanoparticles to convey drugs, we believe they should be a sure size and shape so they can go through the body successfully. Nanotechnology is assisting us with tracking down better approaches to battle against illnesses, like malignant growth and contaminations, by utilizing extraordinary nanoparticles that are ok for the body but can target and treat these sicknesses.

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Synthesis, Methods, Nanoparticles, Challenges, Biological approaches, Bio-reduction

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Creative Commons Attribution 4.0 and The Open Definition

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The significant influence of business analytics (BA) and artificial intelligence (AI) on contemporary businesses is investigated in this study. In today's data-driven economy, firms can gain a competitive edge by optimizing decision-making processes, extracting important insights from massive volumes of data, and integrating advanced analytics approaches with AI algorithms. An introduction to AI and business analytics, including a review of their foundational ideas, methods, and practical applications, is provided in this paper. In addition, it gives advice for effective implementation by highlighting the pros, drawbacks, and ethical aspects of using these technologies. Opportunities for growth, efficiency, and innovation can be unlocked by firms by utilizing business analytics and AI. Additionally, this method helped with comprehending the evolution of BI, the present cooperation among AI, Data Analytics, and BI, and the new tendencies that will determine their fate. The information that was collected was carefully screened using strict inclusion and exclusion criteria to guarantee its relevance and quality. The study's results showed that BI tools' efficiency, accuracy, and predictive capabilities were much improved by moving away from traditional data processing approaches and toward AI-driven predictive analytics.

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 Keywords

Artificial Intelligence, Business Intelligence, Business Data Analytics.

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Creative Commons Attribution 4.0 and The Open Definition

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Development is a multifaceted process involving profound shifts in socio-economic and political structures, public attitudes, national institutions, and accelerated economic growth. Its overarching objectives are to reduce inequality and eradicate poverty. However, this process wields a dual-edged sword. While industrialization is instrumental in expediting economic progress, unchecked industrialization in the name of development has inflicted hardships on communities and ecological degradation. Industrialization is essential for a nation's economic advancement, creating job opportunities and wealth. Yet, it has also birthed a slew of environmental challenges: resource depletion, air and water pollution, soil degradation, global warming, acid rain, hazardous waste generation, and adverse health effects like silicosis and pneumoconiosis. This simultaneous pursuit of economic growth and environmental preservation underscores the dynamic landscape of the 21st century. Within this context, the rise of Industry 5.0, marked by advanced automation and digitalization, presents both promise and peril. This research zeroes in on India, aiming to comprehensively scrutinize the ramifications of Industry 5.0 on the environment, specifically its impact on resource consumption, emissions, and sustainability practices. The study's primary objectives are to: Investigate how Industry 5.0 is reshaping conventional industrial practices in India. Scrutinize the environmental repercussions of Industry 5.0, encompassing its influence on resource usage and emissions. Evaluate sustainability practices linked to Industry 5.0 in the Indian context. Explore policy frameworks and technological innovations capable of mitigating environmental harm while advancing sustainable industrial growth within the Industry 5.0 framework. The research methodology comprises: An extensive review of global and Indian literature on the environmental impact of Industry 5.0. Gathering pertinent data from diverse sources, including government reports, industry publications and environmental assessments are focusing on resource consumption, emissions, and sustainability practices. Conducting in-depth regional case studies in India to provide empirical insights into the environmental effects of Industry 5.0 and understand local nuances; and examining industrialization and environmental protection policies in India to identify areas for improvement. In conclusion, this study will offer a comprehensive overview of the environmental implications of Industry 5.0 in India. It will encompass findings related to resource utilization, emissions, and sustainability practices associated with Industry 5.0. It will also present policy recommendations and technological innovations aimed at reconciling industrial progress with environmental preservation

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Industry 5.0, Industrialization Development, Environment and Sustainable Development

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Creative Commons Attribution 4.0 and The Open Definition