Volume 12 | Issue 4

 Abstract

Ethnographic approaches have recently emerged as promising methodologies in educational research, offering rich insights into the social and cultural dynamics of learning environments. However, their application within pharmacy education remains relatively unexplored. This systematic review aims to fill this gap by synthesizing the existing literature on the practical applications of ethnographic methods in pharmacy education. The review highlights implications for pharmacy educators and institutions, emphasizing opportunities to enhance teaching practices, foster inclusive learning environments, and inform curriculum development and policy-making. Recommendations for future research and practice are provided, advocating for longitudinal studies, examination of inter professional collaborations, and sharing of best practices. Ultimately, this systematic review underscores the significance of ethnographic approaches in advancing pharmacy education and calls for further exploration and application within the field.

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Ethnography, Pharmacy education, teaching methods, Institutional development

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Contract farming has been prevalent in agriculture, especially in countries like India. The outbreak of COVID-19 in 2020 significantly disrupted the functioning of contract farmers, posing various challenges to their livelihoods. At the same time, the pandemic crisis was seen as an opportunity for corporate penetration into agriculture by the three farm laws. This article analyzes the impact of COVID-19 on contract farming, how contract farmers coped with the pandemic, and the challenges faced by small farmers during the pandemic.

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Contract farming, COVID-19, Farm laws, Small farmers.

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This study explores the impact of green marketing practices on consumer spending patterns within shopping malls in the city of Haryana, India. Utilizing a quantitative research approach, data was collected from a diverse sample of 100 consumers across different demographics, and ANOVA analysis was employed to examine the impact of Green marketing practices on consumer decision-making. The findings revealed significant differences in consumer spending patterns across malls with varying levels of Green marketing practices. The study underscores the substantial influence of environmentally conscious initiatives on shaping consumer behavior. Based on these results, practical recommendations are offered, emphasizing the enhancement of Green marketing initiatives, tailored marketing strategies, educational campaigns, continuous monitoring, and collaboration among shopping malls. The insights derived from this research contribute to a nuanced understanding of the relationship between sustainable marketing practices and consumer behavior, providing valuable guidance for the strategic development of environmentally responsible initiatives within the retail sector.

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Green Marketing, Consumer Behaviour, Consumer Spending Patterns, Retail products

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The treadmill bicycle represents an innovative device that merges traditional exercise equipment with a transportation mechanism. It works on the idea of transforming forward momentum from motion of humans without the use of electricity. This combines a bicycle frame with a treadmill platform such that when a person walks on the treadmill, the action goes backward and the bicycle moves forward via a chain system. By harnessing kinetic energy from the user's physical effort, it eliminates the need for external power sources or electrical assistance. This unique combination promotes health and lessens dependency on fossil fuels while providing an environmentally friendly, independent, and effective means to commute or work out. It even gives off an innovative perspective on transportation. The treadmill bicycle is an innovative and sustainable way to move and keep active without relying on electricity or other external power sources. It represents the merging of exercise and mobility.

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Treadmill, bicycle, rollers

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This research tries to explore the link between Equal Employment Opportunity (EEO) policies and the diversity in recent work surroundings. It purposes to acknowledge the importance of EEO framework in enhance the diversity, evaluate their effect on operational culture, employee contribution, and entire performance. Employing a combination of actual evidence and conceptual frameworks, this paper tries to define the native connection between EEO compulsory and the facilitation of workplace diversity.

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Equal Employment Opportunity, Workplace Diversity, Organizational Culture, Employee Engagement, Performance, Inclusion, EEO Policies

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Organ and tissue transplantation has become literally a lifesaving hope for many people. The one organ donor can save 8 lives and change the lives more than 50 people. There are many terminal diseases like heart failure, terminal lung illness, kidney failure etc., that can be cured by the transplantation. Organ donation is legal by law because the Government of India has enacted. "The Transplantation of Human Organs Act 1994" Act No.42, which has allowed organ donation and legalized brain death. Organ donation has become a typical procedure to save life and improve the lives of the patients that have a chance to survive. Organ donation is a standard method of treatment in various disease, however, the number of patients on the waiting list is more than organs that can be donated. This procedure saves the life of millions of people in the world and is a process in which an organ or part of that grafts to another person.

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Perception, Organ Donation

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Mugilai Rasapandian has recorded the conversions that took place after 1956 in Kanyakumari district and the religious riots that took place due to the fear of religion in the novel 'The Way'. It is a rare news that everyone is surprised that religious riots have taken place in Kumari district where everyone lived together as one family.The religious riots in Kumari district show that religion has the power to transform human feelings. Religion teaches virtues by refining man so that man should do good deeds and acquire good qualities and live in this world.But because of these religions, divisions and divisions have been created among the people, man has turned into an animal and caused religious riots, the land of Kumari, which lived in social harmony, has been turned into a land of riots. This review article records the religious turmoil shown by this novel.

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The way the novel shows conversions and religious riots

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Graphology is the study of handwriting to draw inference of an individual's character, disposition and attitude. The graphology studies three dominant sections viz; General Signs, Particular Signs and Resultant. The study of various aspects of graphology is needed before drawing any inferences such as size of handwriting, shapes of alphabets, spacing in writing, strokes, width of handwriting, etc. Further, it varies in different situations, age groups, and mental condition of oneself. Hence, a thorough study is required to draw accurate inferences. Graphology can be used in institutes to know students as well as teachers' personality and accordingly take/give suggestive measures to help them improve their overall personality and behaviour.

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Graphology, Size of handwriting, Attitude, Shapes of alphabets, Personality

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Drug allergies, including eosinophilia and systemic symptom syndrome, are acute, delayed-acting reactions to specific drugs. It is described in many words; however, burns with eosinophilia and systemic disease seem more appropriate. This infection causes clinical symptoms anywhere from 2 to 8 weeks after starting the offending drug. Standardized diagnostic criteria have been developed; However, its benefits have been demonstrated. Unfortunately, strong evidence-based statements do not adequately control the management of burn medications for eosinophilia and systemic disorders.

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Drug hypersensitivity, Anticonvulsants, Drug reaction, DRESS, DIHS, Eosinophilia.

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rimary dysmenorrhea (PD), or painful menstruation, is a common gynecological condition that can cause intense pain and functional disability in women of reproductive age. As a nonmalignant condition, PD is relatively understudied and poorly managed. The study aims to evaluate the prevalence of primary dysmenorrhea in young adult women. 160 women aged 18-25 were recruited, based on inclusion and exclusion criteria. Participants provided consent and completed the Menstrual Symptom Questionnaire (MSQ). Visnagar City has a significant prevalence of PD among young women aged 18-25, with 65.1% affected.

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Primary Dysmenorrhea, Menstrual Symptom Questionnaire, Prevalence.

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Abstract:The study aims to assess awareness, knowledge, and attitudes regarding physiotherapy among pregnant women in Gujarat's Mehsana District. It includes 60 educated pregnant women aged 18-35, excluding those with major neurological issues. Results show most respondents were graduates (58.3%) and unemployed (76.7%). Only 33.3% had sufficient physiotherapy knowledge. Attitudes varied, with 38.6% positive, 49.8% unsure, and 11.7% negative. While 93% were aware of physiotherapy, only 21% knew about antenatal exercises. Understanding of physiotherapy's significance for antenatal care was low, with only 36.7% believing they understood it

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Physiotherapy, antenatal care, knowledge, awareness, attitude.

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Dantrolene sodium, Forced degradation, RP-HPLC, method validation.

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For the purpose of early diagnosis and treatment planning, medical imaging plays a critical role in the detection of pneumonia. While convolutional neural networks (CNNs) and many deep learning algorithms have shown impressive results in medical image processing applications, there are still major hurdles associated with the computational load of training large-scale CNN models on big datasets. In this paper, we use the distributed computing framework PySpark to offer a unique method for CNN models' distributed training for pneumonia diagnosis. By distributing the training process across several nodes in a Spark cluster and utilizing PySpark's parallel processing capabilities, we can effectively utilize computing resources and handle big datasets thanks to its scalability. Our approach entails preprocessing the data, developing the CNN model using deep learning frameworks like TensorFlow and training the CNN model across a distributed system using Pyspark. This paper contributes to the growing body of research on distributed deep learning and its applications in medical image analysis, providing insights and guidelines for leveraging PySpark for large-scale CNN training tasks.

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Convolution Neural Networks, Pneumonia, Distributed deep learning,TensorFlow, X-ray Image, PySpark

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This study examined the relationship between interpersonal intelligence and mental health among prospective teachers. A survey was conducted with a sample of 250 student teachers selected through simple random sampling from various teacher education institutions. The Interpersonal Intelligence Scale and Mental Health Inventory were used to measure the variables. Multiple regression analysis was performed to test the hypotheses based on gender, locality, pedagogy subject, age, and type of institution. The findings revealed a significant positive correlation between interpersonal intelligence and mental health. Gender, locality, and pedagogy subject were found to moderate the relationship, while age and institution type did not have a significant effect. The study highlights the importance of developing interpersonal skills to promote mental well-being among future teachers.

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Interpersonal Intelligence, Mental Health, Prospective Teachers.

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Compliance with Tax Deducted at Source (TDS) offers taxpayers a complex environment that includes both opportunities and challenges related to tax administration. The complexities of TDS compliance are explored in this abstract, along with the opportunities and challenges that taxpayers must overcome. Overcoming complicated tax legislation, carrying administrative responsibilities, guaranteeing correctness in deduction and remittance, and adjusting to regular regulatory changes are among the difficulties. On the other hand, there are opportunities for taxpayers within these issues, like encouraging tax compliance, giving governments a reliable source of funding, streamlining the tax collecting process, and improving financial transactions' transparency and accountability. Taxpayers may help create a more just and efficient tax system that promotes economic growth by addressing these issues and taking use of the opportunities provided by TDS compliance.

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Complexities, Regulatory changes, Government

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Smart Crop System is web application that integrates several machine learning algorithms with recommendation systems. It mainly includes two main modules Crop Data Analytics [CDA] and Crop Recommendation System [CDS]. It seeks to offer a range of solutions to the issues the agriculture sector faces. The web application provides a number of options, such as Crop seasonal analytics, crop detection, and disease detection. Recommendation solutions include techniques such as regression, whereas detection solutions involve image pre-processing stages including contour detection, Normalization, and CNN model. Using resources from OpenCV and Open AI, this system seeks to reduce the amount of time needed for crop diagnostics and crop recommendations for the upcoming seasons.

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CDA, CRS, OpenCV, Open AI, Normalization.

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The current study's findings show that many phytochemicals, including polyphenolic components such alkaloids, flavonoids, tannins, steroids, and phenols, resins, and carbohydrates, are present in the ethanolic extract of Trachysprmum ammi bark. Ethnobotanical and traditional uses of natural substances, particularly those derived from plants, have drawn a lot of attention recently as they have been scientifically proven to be safe for human use and to be beneficial. When looking for novel compounds to treat a variety of illnesses, this traditional method works the best. A thorough review of the literature on Trachyspermum ammi revealed that traditional healers and members of different ethnic groups frequently use it as a therapy for a variety of illnesses. Based on the results, we can conclude that the ethanolic extract of Trachyspermum ammi bark can be attributed to Anti-oxidant activity and Anti-ulcer activity. However, the isolation of active constituents from the ethanolic extract of Trachyspermum ammi bark species and its action responsible for its Anti-oxidant activity and Anti-ulcer activity effect can be useful for the treatment of the same in future.

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Trachyspermum ammi, Anti-oxidant activity and Anti-ulcer activity.

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The IoT (Internet of Things) based smart parking system is a modern solution designed to address the challenges of urban parking management. Leveraging the power of interconnected sensors, communication technologies, and data analytics, this system offers real-time monitoring and optimization of parking spaces, enhancing efficiency, convenience, and user experience. The IoT based smart parking system is a comprehensive solution aimed at revolutionizing urban parking management. Traditional parking systems often suffer from inefficiencies, such as limited visibility into parking space availability, long search times for drivers, and inefficient space utilization. To address these challenges, the smart parking system integrates various IoT technologies to provide real-time monitoring, analysis, and optimization of parking spaces. Overall, the IoT based smart parking system represents a paradigm shift in urban parking management, offering a scalable, efficient, and user-centric solution to address the challenges of modern parking infrastructure. By harnessing the power of IoT technologies, data analytics, and seamless connectivity, this system aims to create smarter, more sustainable cities for the future. At the core of the system are IoT sensors deployed in parking spaces, capable of detecting the presence or absence of vehicles. These sensors communicate wirelessly with a centralized control system, which aggregates the data and provides actionable insights. Through web or mobile applications, drivers can access real-time information about available parking spaces, navigate to the nearest available spot, and even reserve parking in advance.

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Parking Slot, Arduino UNO, NodeMCU, Blynk application, SPS - Smart Parking System

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The AR-based interior designing and shopping app represents a solution that utilizes augmented reality (AR) to revolutionize the world of interior design and home decor. This innovative mobile application provides users with a dynamic and immersive experience, empowering them to effortlessly visualize, customize, and purchase furniture and decor items with ease and confidence.

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3D visualizations, DIY decorators, AR, personalize

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- Steganography is the process of hiding secret information, be it text, images, or videos, within digital media in a manner imperceptible to human eyes. The rise of deep learning technology has marked a powerful advancement in various applications, including steganography, attracting significant attention and fostering extensive research. This paper presents a concise review of diverse steganography technologies, encompassing both traditional methods and the latest emerging deep learning techniques. Spatial domain technologies like Least Significant Bit (LSB), and transform domain technologies such as Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT), are explored alongside deep learning technologies like Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) in the context of steganography. The discussion extends to various datasets used in steganography research, including BossBase, ImageNet, and MNIST. This paper aims to provide valuable insights for fellow researchers by reviewing contemporary trends and offering potential directions for the future of steganography research.

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Steganography, GAN steganography, CNN steganography, Data hiding, Spatial-domain steganography, Transform-domain steganography.

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