Volume 11 | Issue 7 |

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

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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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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

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This 2 month long study has been done with the Chhaliya community from Uttarakhand. Chhaliya Dance is the state symbol of cultural representation but the life of a Chhaliya Artist is not that easy. They are vulnerable to casteist exploitation , identity crisis and social boycotts or side lining from the mainstream communities and artforms. In this research I have tried to understand why people in this community are still performing the same practices though their social status is still considered to be low, which leads me to question the motivations for them continuing this art form? I have also attempted to analyze the other social, economical and political reasons that influence the Chaliya community and their art form.

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 Keywords

Chhaliya Community , Art and Gender, Gender , Art, identity, cross-dresser, Masculinity, Caste, Dalits, Dancers, Male dancers , Uttarakhand, Resilience

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Abstract: Land degradation is a pervasive problem in many parts of the world, and success in fighting against degraded land requires a better understanding of the causes, effects, weather, soil, land cover, and socio-economic factors. The current research uses advanced remote sensing technology and GIS to determine the quantity of endangered and destroyed land from remote sensing information at any time, providing accurate and reliable information. This article examines the water damage of the Amu Sea coast using remote sensing and GIS methods, which are Land Use Land Cover, Slope, and NDWI (the difference in land surface cover in the period of 2000-2022 with analysis based on image data) Landsat 7 and Landsat OLI 8 satellites used the supervised maximum classification method. The result shows the total amount of degraded area is 297.077207 KM2 and the area under threat is 959.0996728 KM2 the most degraded District is Shurtipa in the Balkh province 83.185498 KM2 and the most under threat District is Imam Sahib in Kunduz Province 163.930124 KM2.

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RS, GIS, Amu River Basin, NDWI, LULC

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

VAISHVIKARAN K DAUR ME ADIVASHI ASTITV AVM ASHMITA KE SVAL: JARKHAND RAJYA KE VISESH SANDARBH ME

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VAISHVIKARAN K DAUR ME ADIVASHI ASTITV AVM ASHMITA KE SVAL: JARKHAND RAJYA KE VISESH SANDARBH ME

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Creative Commons Attribution 4.0 and The Open Definition

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The aim of this study was to probe the prescribing preference of psychotropic drugs. The study was a prospective, cross-sectional observational analysis, caried out in retail and wholesale pharmacies in Thrissur and Palakkad district. 75 patients were selected from the psychological disorder over a period of 3 months from March 2023 to May 2023 for this study. A total of 520 drugs are analyzed from 200 prescriptions of the 75 patients. The data like price distribution, prescribing pattern, disease prevalence, demographic details of the patients, were collected and the collected data was evaluated to determine the prescribing trends. With respect to the demographic profile of 75 patients, 44% were males and 56% were females. The average number of drugs given per prescription was more in the age group of >65 that is (33.3%) and less in the age group of 35-45 that is (9.3%). Out of these 75 patients, Depressive disorder was found to be the most common psychological disorder followed by schizophrenia. Among all the categories of drug, anti-depressants, anxiolytics and hypno-sedatives and anti-psychotics were most commonly prescribed, then followed by anti-epileptics, anti-Parkinson and supplements. Alprazolam (34.61%), Escitalopram oxalate (21.15%), Clonazepam (13.46%), Olanzapine and Zolpidem (7.69%) are the top five prescribed psychotropic drugs. On the 520 drugs 85 were prescribed by generic name and 435 were prescribed by brand names. In this study it is found that different brand of the drugs is prescribed at disparate rates. Promotional activities of psychotropic drugs are limited to an extent. Among the prescribed drugs gimmicks is most commonly used promotional tool in the marketing of psychotropic medications that is 71 %, then followed by sales promotion that is 29%.

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Psychological disorders, Schizophrenia, Anti-depressants, Anti-psychotics, Anxiolytics and Hypno-sedatives, Anti-epileptics, Anti-Parkinson

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Creative Commons Attribution 4.0 and The Open Definition

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Women empowerment involves the building up of a better society, it is essential to uplift the women status economically, socially and politically. This paper insights the initiative taken by the Indian government for women empowerment on various level local, panchayat, state and National. Moreover, study attempt to take part in the challenges faced in the implementation of the various government schemes. Study is purely based on the secondary sources of the data. Study finds that there is gender inequality in educational and employment, suggestion made to improve the literacy rate of girl child and reservation for female in employment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women empowerment, India, Government schemes, Challenges.

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Creative Commons Attribution 4.0 and The Open Definition