Volume 12 | Issue 4 |

 Abstract

security could be a major concern, particularly within the coal mining industry, where there are dangerous gasses such as suffocation, gas harming, and gas blasts. The framework centers on two major focuses: discussing quality checking and the discovery of unsafe occasions. The framework has an ESP32 module that persistently screens destructive gasses such as carbon monoxide (CO), methane (CH4), and condensed petroleum gas (LPG) and temperature varieties. Real-time information empowers the location of hurtful gas levels, empowering security activities and ventilation. In extraordinary temperature conditions, the framework incorporates a crisis caution that can jointly address the concern of laborers not wearing protective caps by counting a constrain switch to decide whether a mineworker has expelled their protective cap. Alarms are naturally sent to bosses to implement security conventions.

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 Keywords

ESP32, hazardous gases, MQ2, temperature(DHT11) sensor, fire sensor, LDR module.

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 Abstract

Background: To develop the Bio chemical variables among university hockey players to practice the circuit training and ladder training. Purpose: This study persevered in determining whether the circuit and ladder training effect physical variables such as Low-Density Lipoprotein (LDL) and High-Density Lipoprotein (HDL) among university level Hockey players. For this study 60 hockey players were randomly chosen from Arts & Science Colleges affiliated to Alagappa University were selected as subjects and their age range between 18 to 25 years. Methods: There were four groups of 15 players each, total subject were 60 University hockey players. The group A Circuit training is followed by group B ladder training is followed by group C Combined training and the control group D have not Underwent any training and the data was before and after twelve weeks of training. A pre-test was administered two days before the training period began, and a post-test was administered after the training period concluded. The following variables namely Low-Density Lipoprotein and High-Density Lipoprotein were selected as criterion variables. All the subjects of four groups were tested on selected dependent variables at prior to and immediately after the training programme by using standardize testing tool respectively. Conclusion: Combined Circuit training, ladder training has been beneficial to university level hockey players because it refines better Low-density Lipoprotein (LDL) and High-density Lipoprotein (HDL)

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 Keywords

Circuit, ladder, Hockey, Low Density Lipoprotein, High Density Lipoprotein

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This study investigates consumer buying behavior and attitudes towards organic cosmetic products in Coimbatore city, India. The research aims to evaluate consumer awareness, brand perceptions, and demographic profiles related to organic cosmetics. The study explores factors such as ingredient transparency, health considerations, sustainability preferences, and the influence of marketing strategies on consumer choices. Data was collected through a cross-sectional survey using convenience sampling, with quantitative analysis techniques employed for data interpretation. Findings indicate a strong interest in organic cosmetics among the youth demographic, with positive attitudes towards product safety and eco-friendliness. Influential factors include recommendations from friends and family, brand reputation, and the importance of organic labeling. Pricing and affordability remain significant considerations for consumers across diverse income brackets. Recommendations include targeted marketing strategies, educational initiatives, and product transparency to meet evolving consumer expectations. Overall, the study provides insights for businesses to align their strategies with consumer preferences and capitalize on the growing demand for organic cosmetics in Coimbatore city.

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 Keywords

Consumer buying behavior, Attitudes, Organic cosmetic products, Coimbatore city, Sustainability, Brand perception, Demographic profile, Awareness, Ingredient transparency, Health considerations

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 Abstract

Zinc oxide (ZnO) nanomaterials have emerged as versatile candidates in various fields due to their unique properties and wide-ranging applications. This review article provides a comprehensive overview of recent advances in the utilization of ZnO nanomaterials across diverse domains. It has garnered significant attention in biomedical applications, particularly in drug delivery systems, tissue engineering, antibacterial agents, and bioimaging. Their biocompatibility, tunable surface chemistry, and photocatalytic properties make them promising candidates for addressing various challenges in healthcare, such as wound healing cancer therapy and antimicrobial treatments. Moreover, ZnO nanomaterials exhibit excellent catalytic activity and photocatalytic efficiency, making them valuable assets in environmental remediation strategies. From wastewater treatment to air purification, ZnO-based photocatalysts demonstrate remarkable efficacy in degrading organic pollutants and detoxifying environmental contaminants, thereby contributing to sustainable and eco-friendly solutions.

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 Keywords

zinc oxide nanomaterials, biomedicine, cancer treatment, cosmetic, antimicrobial

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Creative Commons Attribution 4.0 and The Open Definition

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Web-based appointment systems are emerging in healthcare to provide patients with convenient and diverse services, among which physician referral is becoming an increasingly popular tool for assigning physicians to patients. Motivated by a popular physician referral application on a web-based appointment system in China, this paper presents pioneering work in modelling and solving the physician referral problem. The application brings personalized recommendations of medical assortments to patients with heterogeneous disease states, and subsequently patients choose one doctor to visit according to their preferences. In this project, we formulate the physician recommendation problem, based on which a preference learning algorithm is designed that optimizes recommendations while learning patient preferences. Since patients' disease states are heterogeneous, the goal of the algorithm is to create individual recommendations for each patient. In addition to demonstrating the efficiency of the algorithm's performance in terms of regret limitation, we also provide extensive numerical experiments that show the expected performance of the algorithm. We introduce the flexibility of adjusting the update interval of preference estimation into our algorithm and conclude that a short update interval contributes to short-term performance, while a long update interval leads to good long-term results. Next, we have to see how the preference binding helps the algorithm perform explorations, which represent the two main contributions of our algorithm.

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 Keywords

Dynamic policy, learning patient preferences, physician referrals.

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This essay focuses on three works of modern fiction Rachel Joyce’s The Unexpected Pilgrimage of Harold Fry, Matthew Dick’s Memoirs of an Imaginary Friend, and Fredrik Backman’s A Man Called Ove. The study explores the relationship between absurdity and identity formation in contemporary fiction. This research explores how these books use themes of absurdity to illustrate the complexity of human identity creation through a close textual analysis. The research explores how the characters deal with ludicrous situations, face existential questions, and ultimately proceed on transforming journeys of self discovery by drawing on existentialist philosophy and narrative theory. This study illuminates the manner in which the characters struggle with societal expectations, face personal traumas, and create genuine identities by looking at how they interact with absurdity. This article explores the subtle ways in which each author uses absurdity as a narrative device to examine the universal search for meaning and belonging in a world that is frequently chaotic and illogical through a comparative examination. In the end, this research advances our knowledge of how literature both reflects and modifies our perceptions of identity in the face of absurdities in real life.

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 Keywords

Absurdity, Identity Development, Existential Themes, Human Experience, Interconnectedness,Characterization

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Creative Commons Attribution 4.0 and The Open Definition

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In the realm of human-computer interaction (HCI), the integration of webcams and various sensors has become increasingly accessible and widespread. Hand gestures serve as a powerful mode of interaction between individuals and systems, offering a seamless means of transmitting data and commands. This paper explores the significance of hand gestures as a form of non-verbal communication, applicable across diverse contexts. It includes an analysis of hand gesture control applications, leveraging techniques supported by sensor technology and computer vision. Keywords such as Machine Learning, Android Application, Diabetes Mellitus, and Monitoring underscore the interdisciplinary nature of this research.

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 Keywords

Gesture control, Hand tracking, Computer interaction, Human-computer interaction, Motion sensing, Gesture recognition, Hand gesture technology, Natural user interface, Gesture-based control, Computer vision, Motion control, Hand movement tracking, Gesture input, Hand gesture recognition, Gesture-driven computing.

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Weather forecasting is a most important application in meteorology and has been one of the most scientifically and technologically challenging problems around the world. Weather forecasting has traditionally been done by physical models of the atmosphere, which are unstable to perturbations, and thus are inaccurate for large periods of time. This paper introduces a new approach to weather forecasting by combining advanced machine learning algorithms with a user-friendly web-based application. The study focuses on improving the accuracy and reliability of weather predictions while providing an intuitive interface for users to access real-time meteorological information. The integration of machine learning models, such as Decision Tree and ensemble methods, into the forecasting system. The web application harnesses the power of these algorithms to deliver personalized and location-specific weather forecasts. We present the methodology for data collection, model training, and application development, highlighting the seamless integration of machine learning insights. Initial results demonstrate the superior predictive capabilities of the integrated system compared to traditional forecasting methods. The study concludes by discussing the potential impact of this approach on the future of weather forecasting.

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 Keywords

Decision Tree, Weather Forecasting, Algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The protective or disease-preventive qualities of non-nutritive plant compounds are known as phytochemicals. Although it is commonly known that plants make these compounds to defend themselves, new studies have shown that they can also shield people from illness. The Lamiaceae family has about 7000 species spread over 236 genera. Because of its many components, it is one of the most popular and extensively researched families in terms of phytochemistry. Lamiaceae are classified into two primary groups. The first group comprises all species, such as Salvia sp., Ocimum sp., Plectranthus sp., Mentha sp., Thymus sp., and Rosmarinus sp., that primarily generate volatile terpenoids, which are found in volatile compounds. On the other hand, alkaloids (apigenin, hesperidin) and phenolic acids (rosmarinic, caffeic acids) from terpenes are furthermore found. The genus Ocimum is widely distributed in India, Africa, Central and Southern America, and Asia. Plants of the genus Ocimum are recognised for their therapeutic benefits. Because of its chemical makeup, it is believed to have anti-aging, immunomodulatory, antibacterial, and anticancer effects in addition to healing a variety of chronic ailments. Within the Lamiaceae family, Ocimum is a large genus that includes around 64 species of fragrant medicinal herbs that range from annual to perennial and have been used for a very long time. Plectranthus (Lamiaceae) is a plant that is abundantly available worldwide and has several well-liked medicinal uses. In this study, the antibacterial, antineoplastic, and immunomodulatory properties of two Plectranthus leaf extracts were assessed together with their phytochemical characterisation. Because it is not harmful to healthy human cells and demonstrates biological activity that are fungistatic, immunomodulatory, and bacteriostatic, plectranthus may find application in medicine. Among the Lamiaceae family, Plectranthus is one of the most representative genera. With a focus on the genera Plectranthus and Ocimum, this study aims to provide a thorough analysis by synthesising the findings from the literature on phytochemical elements of the Lamiaceae family.

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 Keywords

Lamiaceae, Ocimum, Plectranthus, Phytochemical study

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mobile phones are among the most significant and vital aspects of a person's life since they are used in every part of daily life. Mobile phones can have a lot of negative effects in addition to positive ones. Everyone, including adults, teens, and children, can be at risk from cell phone use and is a rising concern for students. The tendency of using mobile phones obsessively has been on the rise, leading to dependence on them. "Nomophobia," or the fear of living without a mobile device, is the term used to describe the behavioral addiction to cell phones. Behavior that is so severe and persistent that it interferes with day-to-day living and is associated with discomfort, anxiety, uneasiness, or agony and is typically brought on by being disconnected from a mobile device. Nomophobia can be improved through awareness, treatment and lifestyle changes.

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 Keywords

Knowledge, STP, Nomophobia.

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Creative Commons Attribution 4.0 and The Open Definition