Volume 11 | Issue 12 |

 Abstract

Background: Online classes emerged as a game-changer during COVID-19 pandemic. In this difficult period, online classes grabbing the attention of the whole world. This study assess the effectiveness of offline versus online classes on learning of B.Sc. Nursing Part III students. The present study also compares whether online classes is as effective as offline classes. Objective: The objective was to assess the effectiveness of offline versus online classes on learning of B.Sc. Nursing Part III students. Methodology: A quasi experimental post-test only design was used in this study. The study was conducted at 6 private nursing colleges of Kota Rajasthan. Total 300 nursing students were chosen by purposive sampling technique for the study, 150 students for offline classes and 150 for online classes. Regular 5 days offline and online classes were taken with lectures and power point presentations. Offline classes were taken in class room of colleges and online classes were taken by zoom platform. On the 6th day post-test was taken by using structured knowledge questionnaire and data were gathered by both modes of classes. Results: Offline classes scores in this study showed that 8.7% of students reporting moderate effectiveness and 91.3% reporting very effective level of learning as compare to the online classes with 77.3% of students reporting moderate effectiveness and 22.7% reporting very effective level of learning. The t-test showed that there is a significant difference between the Online and Offline classes (df = 298, t = -17.212, p < .001). The results findings showed that offline classes were significantly effective than online classes. Conclusion: The study's findings indicated that offline classes is more effective than online classes on learning of B.Sc. Nursing Part III students.

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Effectiveness, offline classes, online classes, learning

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Electricity theft is a significant challenge in the operation of smart grids, leading to revenue loss for utility companies and increased costs for consumers. Detecting electricity theft is crucial to maintaining the integrity of smart grid systems. In this study, we propose a novel approach for electricity theft detection in smart grids based on deep neural networks (DNNs). Our method leverages the power consumption data collected from smart meters, utilizing the temporal and spatial patterns in electricity usage. We design a DNN architecture capable of learning and identifying abnormal consumption patterns indicative of theft. The model is trained on historical data, enabling it to distinguish between legitimate variations in electricity usage and unauthorized consumption. The effectiveness of our approach is evaluated using real-world smart grid data, demonstrating its ability to accurately detect instances of electricity theft. By harnessing the power of deep learning, our method offers a proactive and efficient solution to identify and mitigate electricity theft in smart grids, ultimately contributing to the stability and sustainability of modern energy distribution systems.

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deep learning, energy distribution systems, smart grids

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Abstract: Experiment was set up by using pots having one Kg. steam sterilizedsoil. Twenty one day old okra (Abelmoschus esculentus) plant were transplanted in each pots. Leaf powder of five medicinal plant Viz. Asperagus asparagoides, Catharenthus roseus, Solanum nigrum, Occimum sanctum, Aegle marmelos were used to control root knot nematode, M. incognita in okra. There was markedincreased in root-shoot length, root-shoot weight of fresh and dry plant. Number of leaves, number of fruit and size increased. Leaf powder (LP) + Nematode (N)treatment as compare to Nematode (N) alone treatment. Leaf powder (LP) +Nematode (N) treatment was also characterized by reduction in root knot index incomparison to nematode alone. Leaf powder (LP) of Asperagus (Asp)+Nematode (N) combination was found to be more effective to reduce root knot index. It was alsoobserved that applied doze of 20 gm. Leaf powder was more effective than 10 gram doze. Keywords:- M. Incognita, Nematode, Okra, Leaf Powder

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Keywords:- M. Incognita, Nematode, Okra, Leaf Powder

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NFIT i.e., Needle-free injection technology is a comprehensive concept that covers an array of drug delivery systems designed to transport medications through the skin without the need for hypodermic needles. These systems utilize different forces, including Lorentz forces, shock waves, gas pressure or electrophoresis, to eliminate the necessity of using needles for drug administration. This method offers benefits not limited to the pharmaceutical sector, the emerging nations also finds it extremely helpful in mass vaccination campaigns by diminishing the likelihood of needle-related injuries and averting additional associated repercussions, such as those brought on by the repeated use of a single needle. Based on how they operate, the kind of load they carry, how drugs are delivered, and where they are delivered, NFIT devices can be categorized. The key considerations for ensuring a reliable, secure, and efficient drug delivery using NFIT are the drug's viscosity, sterility and shelf life of the medication. Another notable advantage of this technology is its capability to deliver highly viscous medication formulations that are challenging to administer using traditional needle and syringe systems, particularly when employing advanced needle-free injection systems. Needle-free injection technology devices are Produced using various techniques; however, the most used method is the injection molding technique. This technology is being offered in a variety of forms, including Vitajet 3, Tev-Tropin, Bioject ZetaJetTM and others. Numerous devices are already on the market as a result of greater investment in its development and FDA approval.

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Bioject ZetaJetTM, Needle free injection technology, Molding technique, Tev-Tropin etc.

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A machine learning-based intrusion detection system is a security tool that utilizes advanced algorithms to automatically detect and respond to suspicious activities within a computer network. It employs machine learning techniques to analyze network traffic patterns, identify anomalies, and distinguish between normal and abnormal behavior, thereby enhancing the network's security and threat detection capabilities. A machine learning-based intrusion detection system is a security tool that utilizes advanced algorithms to automatically detect and respond to suspicious activities within a computer network. It employs machine learning techniques to analyze network traffic patterns, identify anomalies, and distinguish between normal and abnormal behavior, thereby enhancing the network's security and threat detection.

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The proliferation of phishing attacks and email scams has emerged as a critical concern in the digital landscape, posing significant threats to individuals and businesses alike. In an era dominated by digital communication, phishing attacks and email scams have become pervasive threats, causing substantial financial and emotional distress to individuals and businesses in India. People's inability to recognise social engineering assaults is the reason why the number of them is growing daily. Thus, there is a pressing need for resources to aid in the understanding of social engineering methods and crimes. This research paper delves into the landscape of phishing attacks and email scams, specifically examining the legal avenues available to victims in the context of India and various countries' jurisdictions. Through a comprehensive and comparitive analysis of relevant legislation, case law, and regulatory frameworks, this paper aims to elucidate the legal remedies accessible to victims in India. It explores the roles of various stakeholders including law enforcement agencies, regulatory bodies, and financial institutions in mitigating the impact of such cybercrimes. Furthermore, this study provides practical insights and recommendations to enhance the efficacy of legal recourse for victims, fostering a safer digital environment in India. The findings of this research are instrumental in augmenting the existing legal framework and strengthening the mechanisms to combat cyber threats effectively.

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Keywords: Phishing attacks, legal remedies, awareness, comparative study.

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Craig Thompson's Blankets is a graphic memoir that traces the turmoil in Thompson's life such as family dynamics, religious upbringing, first love, and personal struggles in search of self-identity. This article is an attempt to explore trauma and recovery in Craig Thompson's graphic memoir, Blankets, in the lens of Judith Herman's Trauma Recovery Theory. Judith Herman's theory of trauma recovery provides an insightful framework to analyze how the characters in Blankets navigate the traumatic experiences that haunt them. The study reveals how the three-phase recovery model outlined by Herman such as safety and stabilization, remembrance and mourning, and reconnection with ordinary life illuminates Craig's path towards healing and self-discovery. This analysis highlights the resilience of the human spirit and the transformative power of storytelling in understanding of trauma and recovery.

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Recovery, Trauma, Resilience, Self-discovery, Healing

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kidney stone is one of the most common urological disorders and one of the oldest disease, which affects 10-12% of the world population. Pathophysiology of the disease includes urine supersaturation which promotes nucleation and aggregation of crystal then crystal retention occurs in the epithelium of urinary tract leads formation and growth of stone. Lithiasis is a term used for formation of stone in the urinary tract system. Stone can be in range from "A grain of sand to a pearl" with some "as big golf balls". Calcium containing calculi are the most common comprising about 80% of all urinary calculi, rest 20% are of other type. Ten small prospective clinical studies found that orange grapefruit, and lemon juices all increased urinary citrate levels. Only orange and grapefruit juices had an alkalinizing effect on urine pH. Orange juice and grapefruit juices significantly increased urinary oxalate levels, while orange juice also had a high carbohydrates content. The signification of citrate in the pathogenesis and medical treatment of bone illnesses connected to renal stone formation is explored. The processes by which citrate affects bone health and its potentional therapeutic applications in the treatment of renal stone disease are investigated in their study. To explore the relationship between citrus fruit juices [oranges, grapefruits, and lemonades] and kidney stone diseases [KSD].

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lemonade, grapefruit citrate, nephrolithiasis, kidney calculi, risk

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ABSRACT Tourism is a source of bread and butter for many people and is one the largest employment generating economic sector in the world. As per WTTC (2021), travel and tourism generated 334 million jobs. This sector supports 1 in every 10 jobs on the planet. It is a labour-intensive industry; many people across the world are directly or indirectly employed in the tourism industry. Various people working for airlines, hotels, restaurants, travel agencies/tour operators, online travel portals, local transporters, entertainment organizations, sightseeing attractions and others such as souvenir merchandisers, local artisans, local shopkeepers, local guides, drivers and photographers earn their living through tourism. In most regions of the world, the majority of tourism workers are women. But women tend to be concentrated in the lowest-paid and low-level jobs in the tourism sector. In addition, women do a large amount of unpaid work in family tourism businesses also. Therefore, as a specialized UN agency in the field of tourism, UNWTO is trying to enhancing the positive impact of tourism development on the lives of women. It helps to achieve the fifth sustainable development goal - "achieve gender equality and empower all women and girls". In doing so, member countries are encouraged to bring gender issues, gender equality and the empowerment of women to the forefront of their tourism policies.

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Human Resource Development, Women Empowerment, Beti Bachao Beti Padhao, Hunar Se Rozgar Tak

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Preparing and evaluating a herbal shampoo with an emphasis on the product's safety, effectiveness, and quality is the primary goal of the current study. Herbal shampoo is a natural hair care solution that is used to eliminate grime, dandruff, and grease as well as to encourage hair growth, strength, and blackness. Since shampoos are a common cosmetic item used in daily life, the shampoo industry has the most units sold of any hair care product. Consumers have occasionally experienced negative consequences as a result of synthetic detergents and preservatives. Incorporating natural extracts with similar functionality to their synthetic counterparts is a more extreme method of minimizing the use of synthetic compounds. Shampoo is one of the most important beauty items since it helps clean the hair. Herbal shampoo is a cosmetic product similar to ordinary shampoo in that it uses traditional ayurvedic herbs to clean the hair and scalp. They are used to clean up environmental pollutants, dandruff, grease, and grime.

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Herbal Shampoo, Cosmetics, Traditional Ingredients, Aloe Vera, Amla, Hibiscus, Reetha.

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