Volume 11 | Issue 7 |

 Abstract

The objective of this study is to provide experimental data that could be used to predict the effectiveness and performance of a plate fin heat exchange for low temperature conditions. In this study, plate fin heat exchangers are tested with a variation of themass flow rate. Plate fin heat exchangers are widely used in cryogenic liquefaction. Such heat exchangers have high fin density and offer narrow passages for the fluid flow which often leads to significant pressure drop. The stringent requirement of high effectiveness and excessive pressure drop occurring in plate fin heat exchanger makes it necessary to test the heat exchanger before using in any system. An Numerical setup is made in the laboratory to test the plate fin heat exchanger at cryogenic temperature. In this setup compressed Nitrogen gas will be passed through the plate fin heat exchanger as hot stream. The hot stream gas will be passed through a liquid Nitrogen coil heat exchanger to cool the high pressure gas. The cold gas is then passed as a reverse stream of the plate fin heat exchanger. The effectiveness and pressure drop data is simulated with ANSYS software and also compared with other correlations to confirm the accuracy of the experiment.

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 Keywords

Plate fin heat exchangers, Numerical setup, ANSYS software.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The quality of work life in connection to gender and types of secondary school teachers is a topic of the current study. Simple random sampling techniques were used to choose samples from 114 secondary school teachers. The study methodology was a descriptive survey. Quality of Work Life Scale (QWLS), constructed and adapted by the researcher, was used to collect data. Quality of Work Life Scale is made up of Job Security, Equitable Pay and Rewards, Justice in the Work Place and Supervision. According to the research, there is no significant difference between Quality of Work Life of Male and Female Secondary School Teachers and there is no significant difference between Quality of Work Life of Government and Private Secondary School Teachers.

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 Keywords

Quality of Work Life, Secondary School Teachers, Gender, Type of School.

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Creative Commons Attribution 4.0 and The Open Definition

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The COVID-19 pandemic has inaugurated a new era when internet meal delivery services have become an essential part of people's daily lives. This study looks at user satisfaction with pandemic-related digital meal courier services. However, this work investigates the reasons why customers chose to use or not during a major worldwide disaster app-based meal delivery services based on multiple aspects. The majority of previous studies assess client satisfaction in the context of online food delivery services on a general level. To gather data, secondary sources have been used. The study found that the majority of individuals utilised food delivery applications, mainly during "June and August", and that they trusted cafes, food brands, and couriers more than the other groups. It was unclear whether meals, food delivery, or support staff would take the necessary proper procedures while delivering to the next group of clients.

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 Keywords

Covid-19 pandemic, Users satisfaction, Mobile Food Delivery Apps.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Senior citizens, often known as people in their elderly years, are becoming more prevalent in developing nations. Slowly, the responsibility for caring for the elderly is moving from families to community-level old age facilities for individuals who are financially strapped, lack family care, or are homeless. In most developing nations, older people who are institutionalised for housing, healthcare, rehabilitation, and amusement do not have enough knowledge of their health issues. The purpose of this study is to determine the issues facing senior housing facilities in urban areas

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 Keywords

Elderly inmates, old age home, morbidity profile

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 Abstract

Sensibility plays an important role in literature. Basically, sensibility is the key to literary creation and reception. Literature originates from the heart and reaches the heart. A writer is rich in sensitive personality; his deeper observation and response to the socio-historical condition of his time are often reflected metaphorically in his works. He looks at an event or situation from a different perspective than the common man, examines it, understands its depth, and contemplates it in the context of its long-term consequences. Literary sensibility ignites the light in the darkness and a ray of hope in despair. Habib Tanvir portrays the contradictions of society, politics, religion, history, and culture. His plays are a sensitive response to the socio-political system of his time. As a close observer of Indian politics and politicians, he has brought out these experiences in his plays. His theatre is politically drenched to expose political hypocrisy, conspiracies, corruption, and malpractices to destroy truth in order to gain power. His plays like Hirma Ki Amar Kahani are good examples of various aspects of corrupt politics. Nepotism and the selfishness of the politicians and their lust for power is giving rise to social hatred, caste discrimination and religious riots. Police and bureaucrats have become puppets in the hands of politicians. In this way, Habib Tanvir has tried to bring the naked reality of politics in front of the society.

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 Keywords

Political sensibility, socio-historical, metaphorically, culture, despair, socio-political, hypocrisy, conspiracies, malpractices, nepotism, and bureaucrats.

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Rupi Kaur, born on October 4, 1992 is an Indian born Canadian poet, artist, and performer. Her poetry collections are Milk and Honey (2014), The Sun and Her Flowers (2017), Home Body (2020), Healing through Words (2022). Rupi Kaur is famous as an Insta-poet and for the sketches that she draws in the poetry. Feminism has always been a substantial part of her writings. She openly talks about the issues of feminism like upheaval, love, loss, trauma, healing, and necessitate for female distinctiveness. She proficiently highlights the experiences of women, the objectification of the female body, sexual exploitation and breakup and their reverberations. Kaur boldly describes all harrowing experiences of the lives of young females in the contemporary context through the experiences that would make the reader the feel her pains. The present paper focuses on the psychological trauma experienced by the women with great compassion through her poetry and impart a distinct voice to present-day feminine heart. Women, while adjusting themselves in this male dominated society struggle between various emotions like grief, sorrow, self-loathing, dissatisfaction, contentment and resentment together. The paper highlights the feminine emotions subjugated by her never-ending efforts to ascertain their individuality in the midst of incompatible circumstances of the fashionable society.

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 Keywords

feminism, struggle, trauma, individuality, patriarchal

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 Abstract

Association rule mining is considered as main technique in the data mining area. Association rule mining presents associations among items in transaction databases, relational databases, frequent patterns, correlations and other information of warehouses. Frequent pattern mining is one of the active areas in data mining. It takes part in every data mining task such as prediction, classification, clustering, and association assessment. Finding all frequent patterns is time-consuming process because of its vast number of patterns generated. In this paper, frequent patterns are generated in faster way by improving the efficiency of Apriori algorithm to speed up the process.

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 Keywords

Association rules, Apriori algorithm, frequent patterns.

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Creative Commons Attribution 4.0 and The Open Definition

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Recently, the number of men and ladies who endured from hair misfortune or hair diminishing is increasing in around the world. Hair misfortune could be a dermatological clutter, and the surge for finding characteristic products with hair development advancing potential is continuous. India is known for conventional pharmaceutical. Herbs are the conventional frame of Indian pharmaceutical which was created by antiquated sages whose clever perceptions driven to the advancement of constitutional medicine. Home grown makeup are the arrangements utilized to improve the human appearance. The point of the show investigate was to define and assess the home grown gel of flaxseed and neem for the reason of moisturizing and feeding the hair. Flaxseed is full of fatty-acids and antioxidants which offer assistance to evacuate poisons and dead cells from the scalp. Neem clears out basically help to condition your hair from the root to the tip of the hair. Neem clears out progress the wellbeing of your hair and diminish hair misfortune. Neem is utilized to diminish the dandruff. The neem takes off is act as antifungal and antidruff. The gel is act as antibacterial.

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 Keywords

Flaxseed, Neem, Preparation, Evaluation, Results, Discussion

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In this study, we developed a self-curing concrete using a geopolymer-based repairing agent with SAP Gel (Super Absorbent Polymer) to address the challenges of water scarcity and curing in high-rise structures. The conventional curing methods often require a large quantity of water, which can be problematic in water-deficient regions. To create the self-curing concrete, we prepared different mixes with varying percentages of SAP Gel (1%, 2%, and 3%) and tested their properties in both fresh and hardened states, including repair specimens. Cement paste was used for repair before filling the concrete. When comparing the self-curing concrete to concrete without any curing, we observed changes in certain properties. The compressive strength decreased by 4.57%, 9.45%, and 14.32% for the respective SAP Gel percentages. The Rebound Hammer value also decreased by 3.3%, 9.58%, and 12.5% with the use of SAP Gel. The Ultra Pulse Velocity (UPV) results were somewhat mixed. At some SAP Gel percentages, the UPV decreased by 2.17% and 0.72%, while at another percentage, it increased by 0.96%. Based on the results, we concluded that the self-curing concrete with SAP Gel-based geopolymer as a repairing agent shows promise for repairing M25 grade concrete using M30 grade concrete. This approach can reduce water consumption and provide a sustainable solution for concrete repair.

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 Keywords

Self-Curing concrete, SAP Gel, Concrete agent, with curing, Without Curing, Concrete Specimen, Compressive Strength, UPV (Ultra Pulse Velocity), Rebound Hammer

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Image and video caption generation has gained significant attention in recent years due to its potential in enhancing content accessibility, search ability, and user experience. Deep learning techniques have shown remarkable success in addressing this task by leveraging the power of convolutional neural networks (CNNs) and recurrent neural networks (RNNs). In this paper, we propose a novel approach for image and video caption generation using deep learning. Our model consists of two key components: an image/video encoder and a caption generator. The image/video encoder utilizes a pre-trained CNN, such as ResNet or VGG, to extract high-level visual features from the input image or video frames. These features are then fed into an RNN-based caption generator, which sequentially generates a caption word-by-word, taking into account both the visual features and the context provided by the previously generated words. To further enhance the caption generation process, we incorporate attention mechanisms that allow the model to focus on relevant regions or frames while generating each word. This attention mechanism helps the model capture fine-grained details and improves the overall quality and coherence of the generated captions. To train our model, we use large-scale image and video caption datasets, such as MSCOCO and MSVD, which provide extensive annotations for training and evaluation. Experimental results demonstrate that our proposed approach achieves state-of-the-art performance on several benchmark datasets, surpassing existing methods in terms of caption quality and diversity.

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 Keywords

Convolutional Neural Network, Recurrent Neural Network, Deep Learning, Long-Short Term Memory, ResNet, Reinforcement learning, Supervised Learning.

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Creative Commons Attribution 4.0 and The Open Definition