Volume 12 | Issue 2

 Abstract

This paper is aimed to develop a system that can manage the event all over the globe. Nowadays organizing events like festivals, weddings, carnivals, etc. It is a major part of life. As time passes the number of customers and events is increasing day by day, which is difficult to manage using traditional systems using spreadsheets, traditional databases and more. To overcome this problem of managing of events using modern technology like Artificial intelligence, DDBMS, Web 3.0 services and so on. The new Event Tracking/ Management system can use these modern techs for managing and planning for customers and organizers. With the help of this technology, the distance between event organizers and event joiner has reduced and the cost for management team is also reduced. All the task such as registration, event listing, gallery management, venue selection, analytical dashboard at admin level, resource management also being done. It manages the crowd during the event and count the number of participants is there. Hence, there is a need of such advanced system which can handles all the task of its own. The event tracking / management system is a web-based event management system that provides the functionality of an event manager. The system different functionality to perform and having the separate interface at administration level and participation level. All the data is recorded in the database and the user is given a unique identity number for the booking of event.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

User, Admin, Event Management, Book, Database, Expert System, Web API, Framework, Language, network, Web services.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pain, an intricate facet of human physiology, results from a complex interplay of neuronal signals and psychological reactions. This review explores the physiological underpinnings and subjective nuances of pain, emphasizing its pivotal role in clinical practice and human health. Pain's multifaceted nature, shaped by personal experiences and cultural influences, poses challenges in understanding its expression. Within clinical settings, pain serves as a crucial diagnostic tool, necessitating comprehensive management strategies to address diverse patient needs. Amid escalating concerns over opioid misuse and associated risks, exploring non-opioid alternatives has garnered significant attention. This review aims to elucidate the disparities between opioid and non-opioid therapies, analyzing their respective mechanisms of action, efficacy, and adverse effects. Specifically, opioids, while efficacious in pain relief, are accompanied by a spectrum of adverse effects encompassing gastrointestinal, central nervous system, endocrine, urinary, cardiovascular, immunological, and dermatological domains. In contrast, non-opioids, including NSAIDs and acetaminophen, offer analgesic efficacy with differing side effect profiles. Through a comparative analysis, this review underscores the imperative for personalized pain management strategies tailored to individual patient needs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pain, opioids, non-opioids, analgesia, adverse effects, personalized medicine

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Qualitative analysis is the process of ensuring the quality of the drug. Every medicine should be standardized to improve the quality and consistency of the medicine. Currently in Siddha, many medicines like herbal, herbo-mineral formulation and animal products are being standardized. One of the Siddha medicines, Nilavagai chooranam is mentioned for many diseases like, flatulence (Vayutru porumal), vomiting (vaanthi), Hiccup (Vikkal), Peptic ulcer diseases (Gunmam) and etc. In this study qualitative analysis such as macroscopic appearance, physico-chemical analysis including total ash, loss on drying, acid insoluble ash, water and alcohol soluble extractive, pH value and heavy metal analysis were determined. Analysis of Nilavagai chooranam was based on PLIM guidelines. Physico-chemical analysis of chooranam reveals quality and purity of the drug and exhibited the presence of organic bioactive compounds including polyphenols, tannins, saponins and etc. Heavy metal analysis exhibited lead, arsenic, cadmium, mercury is below detectable level. In future, this study will help for further preclinical and clinical evaluation of the drug to treat various health illnesses.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Heavy metal analysis, Nilavagai chooranam, Physico-chemical analysis, Siddha literature, Standardization.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pisdium guajava is an important fruit crop and medicinal plant available in tropical areas like India, Indonesia, Pakistan, Bangladesh and south Africa. The leaves of guava plant have been studied for their health benefits. Plant contain important phytoconstituents such as tannins, flavonoid, pentacyclic triterpenoid: Saponins, lectins, oleanolic acid, etc. Various part of plant has been used in traditional medicine. Many pharmacological studies have demonstrated the ability of this plant to exihibit antioxidant, hepatoprotective, anti-allergy, antimicrobial, anti-spasmodic, cardioactive, anti-cough, antidiabetic, anti-plasmodic, anti-inflammatory, cytotoxic, supporting its traditional use. The guava has a high source of vitamin C, A, iron, phosphorus and calcium and minerals. It contains high content of organic and inorganic compound like secondary metabolites eg. Antioxidants, polyphenols, antivirals compounds, anti-inflammatory compounds. The phenolic compound in guava help to cure cancerous cells and prevent skin aging before time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pisdium guajava, phytochemicals, pharmacological activity, microscopical study, Taxonomy.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wireless sensor networks (WSNs) are rapidly developing in the big data world and are being used widespread in many aspects of life. Recently, WSN has also made very significant entry in the management of critical data safety, traffic monitoring, and climate change detection. wireless sensor networks provide a significant amount of data from several sensor-nodes in large-scale networks (WSNs), which are amongst the many potential datasets. This present paper portrays a detailed assessment of recent research on using WSN into large data systems Potential network and effective deployment. This paper contains the cutting-edge research reviews that will be helpful for future work in this area.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wireless sensor networks WSN Big data Sensor network

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study aims to study burnout in relation to organizational role stress among school teachers. The sample of the study was comprised of 100 teachers of Barnala and Mansa districts of Punjab. Descriptive analysis, Inferential Analysis & Correlation analysis was used for the present study. Teacher's Burnout scale (2017) by Madhu Gupta and Surekha Rani and Organizational Role Stress by Pareek (2005) was used as a research tool to collect data. The findings of the study revealed that there was no significant difference in terms of gender on organizational role stress and burnout. Further, the present study also revealed that there was positive and significant correlation between burnout and organizational role stress. The findings of the study will be beneficial for educationalists and policy makers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Burnout, Organizational Role Stress, School Teachers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bio-Eco-Bio Bioecological Sciences cum IOT Sciences at Biogeosciences Research & Development

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bio-Eco-Bio Bioecological Sciences cum IOT Sciences at Biogeosciences Research & Development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A multi-communication tracker is proposed to address limitations of conventional GPS devices in areas with poor GPRS signal. This tracker integrates GPS for location reporting, GPRS for data transmission, LoRa for long-range communication, and IoT for storing previous locations. LoRa, with a range of 20 km, enables communication with any device set to the same frequency, enhancing the chances of receiving help in remote locations. In scenarios where GPRS signals are unavailable, users can still communicate via LoRa. Additionally, IoT capabilities store users' previous locations, aiding rescuers in tracking their movements. The tracker will send data when vibration sensor and accelerometer sensor values are changed as per the instruction given. Furthermore, a camera module is considered to provide visual evidence of incidents. This comprehensive approach aims to enable individuals in distress to communicate effectively and receive timely assistance, particularly in rural or mountainous areas with limited connectivity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GPS Location, LoRa Communication, GPRS Communication, IoT, ESP32 Cam.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract World health organization prominence the necessity of quality and safety of herbal drugs and also it proposes guidelines for its standardization. Standardization assures the identity, determination of quality and purity of herbal formulation through its active or marker compounds. Phytochemical and physicochemical analysis of the polyherbal Siddha preparation, 'Pramega Prayogam chooranam' being used to treat renal calculi (Kalladaippu), Peptic ulcer (Gunmam), All types of leucorrhoea (All types of pramegangal) and etc. The powder of this formulation was subjected to physicochemical study such as Loss on drying, Total ash, Water soluble, Alcohol soluble, pH and preliminary phytochemical screening of the extracts of Pramega Prayoga chooranam. These analytical specifications of standardization useful for further research works.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Pramega Prayogam, Siddha, Standardization, Physicochemical, Phytochemical.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research delves into addressing the crucial nutritional requirements of young female college students aged 17-21, emphasizing the vital role of calories in their diet. The study highlights the significance of incorporating millets and locally sourced foods to fulfill these dietary needs. Against the backdrop of the 'Year of Millets' declared in 2023, recognizing the nutritional richness of these grains, the research focuses on the development of a mathematical model. This model is designed to optimize the diet by considering proper nutrition as constraints while aiming to minimize overall costs. A numerical illustration is then presented to validate the effectiveness of the proposed model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LPP, diet decision, health care, Millets, Local food.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The prospect of writing this review article is to present comprehensive information related to mucoadhesion and mucoadhesive drug delivery systems. The article has highlighted all the aspects of mucoadhesive drug delivery systems which will be helpful for researches and academics. The article includes detailed information about mucosa- the anatomy and physiology, the mechanisms and theories related to mucoadhesion, evaluation parameters of mucoadhesive dosage forms, mucoadhesive polymers and novel approaches related to mucoadhesive drug delivery system. The potential merits and demerits of mucoadhesive drug delivery as well as that of the polymers are also discussed.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mucoadhesion, theories of mucoadhesive mechanism of mucoadhesion, Route of mucoadesive drug, factor affecting mucoadesive, polymer.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Postpartum Depression (PPD) poses a significant public health challenge, impacting maternal well-being and infant development. Despite growing awareness, PPD rates persist, necessitating proactive intervention strategies. This abstract explores the necessity of proactive measures in PPD prevention and management, emphasizing early identification, risk factor assessment, and tailored interventions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Postpartum Depression (PPD), maternal mental health, proactive measures, prevention, intervention, risk factors.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Monosodium Glutamate (MSG), a prevalent food additive known for its ability to enhance savoury Flavors, has long been a subject of both culinary admiration and scientific scrutiny. This paper delves into the intricate chemistry of MSG and explores its dual nature as a savoury symphony and a potential silent culprit in the realm of food consumption. The investigation encompasses the molecular structure of MSG, its role in taste perception, and the physiological pathways through which it influences the human sensory experience. While MSG has been widely utilized to intensify the umami taste in various cuisines, concerns about its potential side effects have sparked debates and investigations. This paper meticulously examines the existing body of research on the adverse effects of MSG, encompassing topics such as headaches, nausea, and the controversial "Chinese Restaurant Syndrome." The aim is to provide a comprehensive overview of the current scientific understanding of MSG's impact on human health and to discern whether it is a benign flavour enhancer or harbours subtle risks. Additionally, the paper considers the regulatory landscape surrounding MSG, addressing global standards and permissible limits set by health organizations. By synthesizing information from scientific studies, culinary practices, and regulatory frameworks, this exploration seeks to offer a nuanced perspective on the multifaceted nature of MSG, inviting readers to ponder whether it is truly a savoury symphony or a silent culprit in the world of food additives.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Monosodium Glutamate (MSG), a chemical compound renowned for its remarkable ability to intensify savoury flavours, has played a pivotal role in shaping the palatability of countless culinary creations worldwide. As a ubiquitous food additive, MSG is commonly employed to enhance the umami taste, contributing to the overall sensory appeal of various dishes. Despite its widespread use and acceptance, MSG has not been immune to controversy, with persistent concerns about its potential side effects l

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Primitive people learned the use of animal hair and fibres of certain plants and trees to cover their body. The animal hair and the vegetal fibers not only gave them better protection against the elements but these offered better mobility to them as well. The present exploratory study was carried out on the sustainable approach of making sturdy, warm and riveting pullahs (traditional footwears) with local plantation by Lahaula tribe of Lahaul & Spiti district of Himachal Pradesh. Craft of straw weaving started among these communities due to living in diverse climates and harsh terrains that have creatively responded to the challenges of their environment by transforming locally available natural fibers to create viable footwear to be worn as their prerequisite. This work aims to explore the techniques, and cultural importance of pullah among the Lahaula tribe. By delving into the materials, techniques, traditional uses, as well as the challenges and opportunities faced by the craft, this study offers insights into the rich cultural heritage of the Lahaula tribe and their dedication to preserving this ancient art form.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lahauli pullah, traditional handicraft, straw weaving, Lahaula tribe, Himachal Pradesh

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper conducts a comparative analysis of three prominent AI image generation models: Stable Diffusion, DALL-E, and Dream by WOMBO. We assess their performance across various metrics such as image quality, detail clarity, resolution, color accuracy, computational efficiency, and scalability. Stable Diffusion excels in preserving image fidelity and detail, while DALL-E is adept at generating images from textual descriptions. Dream by WOMBO showcases impressive creativity but offers less control. We discuss implications for future research, including enhancing controllability, scalability, and ensuring ethical AI usage. Despite challenges, AI image generation presents significant opportunities for innovation. This study provides insights into model performance and directions for future research in this dynamic field.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI Image Generation, Stable Diffusion, DALL-E, Dream WOMBO, Comparative Analysis, Image Quality, Diversity, Controllability, Scalability, Computational Efficiency, Applications

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper investigates the correlation between hope, resilience, and happiness among young adults. At this age a person goes through a lot of life changes which might be overwhelming at times. Hence it is important to have higher level resilience and hope in order to overcome stress and preserve mental health to avoid developing any disorders. A resilient and hopeful person uses healthy coping mechanisms to overcome stress arised from daily life hassles and major life events. People who are resilient and hopeful tend to be happier than people who are not. Resilient people are also optimistic and have good social skills which is again related with happiness. A sample of 103 participants was taken, among which 48 were male participants and 55 were female participants. Their ages ranged from 18-30 years. Self-report questionnaire was provided through google forms. The study finds a significant positive correlation between hope and happiness, suggesting that individuals with higher levels of hope tend to experience greater levels of happiness. Conversely, the research reveals a minimal correlation between resilience and happiness, indicating that resilience does not significantly influence happiness within this sample. Additionally, no significant correlation was observed between resilience and hope. Furthermore, the study shows no gender-based difference. These findings contribute to a deeper understanding of the intricate relationship between hope, resilience, and happiness, shedding light on potential factors that influence subjective well-being. By establishing meaningful connections between hope, resilience, and happiness, this research contributes to the evolving field of positive psychology. Research based on this can be used in clinical setting to treat patients with disorders like depression and hopelessness.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Happiness, Hope, Resilience.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rising prevalence of diabetes worldwide, there is a growing need for accurate and timely detection methods to enable early intervention and management. In this study, we propose a novel approach for diabetes detection leveraging the power of deep learning techniques, specifically employing Convolutional Long Short-Term Memory (ConvLSTM) networks. Our methodology involves the integration of ConvLSTM networks, which combine the spatial understanding of convolutional layers with the temporal memory capabilities of LSTM layers. This unique architecture enables the model to capture both spatial and temporal dependencies within sequential medical data, such as time-series information from glucose monitoring. To validate the efficacy of our approach, we conducted experiments on a comprehensive dataset comprising diverse patient profiles. The dataset includes information such as glucose levels, insulin sensitivity, and other relevant health indicators. Our proposed ConvLSTM-based model demonstrates superior performance in diabetes detection compared to traditional machine learning methods and other deep learning architectures. Furthermore, we explore the interpretability of the model predictions, providing insights into the key features and temporal patterns influencing diabetes detection. This not only enhances the model's transparency but also contributes to a better understanding of the complex relationships within the data. The results of our study indicate that the proposed ConvLSTM-based approach holds promise as an effective and accurate tool for diabetes detection. The integration of deep learning techniques in healthcare, particularly in diabetes diagnosis, can pave the way for more personalized and timely interventions, ultimately improving patient outcomes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional long short-term memory; diabetes prediction; machine learning; pre-processing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Indian economy has been experiencing a major transformation since 1990's in the wake of unilateral economic reforms initiated since 1991 and the reorientation of the economy in accordance with the rules and regulations within the multilateral framework of GATT/WTO. Accordingly, the globalization of production process, market for goods as well as financial markets has been initiated, though slowly. This has generated debate on the linkage between trade policy and economic growth, in addition to other variables, the balance of payments and current account deficits. In this paper an effort has been made to study the impact of trade policy on India's economic growth, balance of payments and current account deficit. The evidence suggests that the trade liberalization policies pursued in India played a positive role in influencing economic growth. Indian exports have been doubled in dollar terms and there is an evidence of export diversification. Imports have been rising continuously and the current account showed a surplus in recent years. Empirical analysis on BOP indicates a statistically significant change during liberalization period. Finally, the open policies seem to have influenced current account balances positively. Finally, the evidence presented by us suggests that the expansion of the government sector is detrimental to growth, i. e., the government led-growth thesis is rejected by the data. An examination of this thesis at a disaggregated level shows that while the expansion of government investment has a negative impact on growth, the impact of growth in government consumption is insignificant. An interesting finding emerging from our study is that the investment ratio has an insignificant impact on growth in India The policy conclusion emerging from this study is that export pessimism of the past was misplaced and India would do well to pursue export expansion much more vigorously than hitherto. This would require policies aimed at offsetting the earlier anti-export bias, such as an aggressive exchange rate policy, lowering the degree and dispersion of protection further, de-reservation of (removal of reservation status for) the small-scale sector and liberalisation of the agricultural and consumer goods sectors.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trade Policy, WTO, Economic Growth, Balance of Payments

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the Indian education system, Foundational literacy and numeracy (FLN) is the education of children of 3 to 8 years age. As per the National Education Policy (NEP 2020), FLN spans from preschool up to grade 2. Foundational literacy is the capability to comprehend and distinguish letters, read well-known words, and establish various forms of communication. Literacy assists students to read, write and speak clearly. Foundational numeracy is understanding and identifying numbers, discriminating between numbers, and performing basic mathematical calculations (addition or subtraction). Future education and lifetime learning both depend on the capacity to read, write, and execute basic mathematical operations. People with these skills can think critically and creatively, which advances the country (GOI, NEP 2020). After 34 years of National Education Policy 1986, The New Education Policy 2020 came into effect in India. In New Education Policy, new provisions were introduced for the overall development of education starting from Bal Vaatika. In this program, FLN (Foundation Literacy and Numeracy) was introduced to improve the basic knowledge, knowledge, language and statistical skills of children from infancy till the age of 9 years. The ultimate objective of FLN (Foundation Literacy and Numeracy) is to bring equality within every child for the sake of imparting knowledge related to language, for the sake of making them adept with the vision. NEP 2020 states in clear words that student's academic learning outcomes will be ensured by FLN. Its full name is Foundation language and literacy. As the name suggests, it is based on knowledge of statistics and language at the foundational level . To achieve the objectives FLN mentioned in the New Education Policy 2020, the year was set for 2025 but later it was extended to 2026-27.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FLN,NEP(2020)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dark patterns are tricks used in design to confuse or manipulate users, making it hard for them to express real preferences or take desired actions. The current study looks into the widespread occurrence of dark patterns in India, especially concerning internet users amid the country's fast digitization. It covers India's regulatory environment to safeguard customers and goes into the misleading tactics used by online sites. It also looks at foreign laws regarding dark patterns to provide insightful analysis of the Indian legal system as well as suggestions for improvement. Through this investigation, the study aims to highlight the difficulties Indian consumers face online and offer solutions to lessen the negative effects of dark patterns on their digital engagements.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dark patterns, manipulate users, consumers, Indian legal system, foreign laws.

  License

Creative Commons Attribution 4.0 and The Open Definition