Volume 12 | Issue 2 |

 Abstract

This paper conducts a comparative analysis of three prominent AI image generation models: Stable Diffusion, DALL-E, and Dream by WOMBO. We assess their performance across various metrics such as image quality, detail clarity, resolution, color accuracy, computational efficiency, and scalability. Stable Diffusion excels in preserving image fidelity and detail, while DALL-E is adept at generating images from textual descriptions. Dream by WOMBO showcases impressive creativity but offers less control. We discuss implications for future research, including enhancing controllability, scalability, and ensuring ethical AI usage. Despite challenges, AI image generation presents significant opportunities for innovation. This study provides insights into model performance and directions for future research in this dynamic field.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI Image Generation, Stable Diffusion, DALL-E, Dream WOMBO, Comparative Analysis, Image Quality, Diversity, Controllability, Scalability, Computational Efficiency, Applications

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper investigates the correlation between hope, resilience, and happiness among young adults. At this age a person goes through a lot of life changes which might be overwhelming at times. Hence it is important to have higher level resilience and hope in order to overcome stress and preserve mental health to avoid developing any disorders. A resilient and hopeful person uses healthy coping mechanisms to overcome stress arised from daily life hassles and major life events. People who are resilient and hopeful tend to be happier than people who are not. Resilient people are also optimistic and have good social skills which is again related with happiness. A sample of 103 participants was taken, among which 48 were male participants and 55 were female participants. Their ages ranged from 18-30 years. Self-report questionnaire was provided through google forms. The study finds a significant positive correlation between hope and happiness, suggesting that individuals with higher levels of hope tend to experience greater levels of happiness. Conversely, the research reveals a minimal correlation between resilience and happiness, indicating that resilience does not significantly influence happiness within this sample. Additionally, no significant correlation was observed between resilience and hope. Furthermore, the study shows no gender-based difference. These findings contribute to a deeper understanding of the intricate relationship between hope, resilience, and happiness, shedding light on potential factors that influence subjective well-being. By establishing meaningful connections between hope, resilience, and happiness, this research contributes to the evolving field of positive psychology. Research based on this can be used in clinical setting to treat patients with disorders like depression and hopelessness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Happiness, Hope, Resilience.

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Creative Commons Attribution 4.0 and The Open Definition

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With the rising prevalence of diabetes worldwide, there is a growing need for accurate and timely detection methods to enable early intervention and management. In this study, we propose a novel approach for diabetes detection leveraging the power of deep learning techniques, specifically employing Convolutional Long Short-Term Memory (ConvLSTM) networks. Our methodology involves the integration of ConvLSTM networks, which combine the spatial understanding of convolutional layers with the temporal memory capabilities of LSTM layers. This unique architecture enables the model to capture both spatial and temporal dependencies within sequential medical data, such as time-series information from glucose monitoring. To validate the efficacy of our approach, we conducted experiments on a comprehensive dataset comprising diverse patient profiles. The dataset includes information such as glucose levels, insulin sensitivity, and other relevant health indicators. Our proposed ConvLSTM-based model demonstrates superior performance in diabetes detection compared to traditional machine learning methods and other deep learning architectures. Furthermore, we explore the interpretability of the model predictions, providing insights into the key features and temporal patterns influencing diabetes detection. This not only enhances the model's transparency but also contributes to a better understanding of the complex relationships within the data. The results of our study indicate that the proposed ConvLSTM-based approach holds promise as an effective and accurate tool for diabetes detection. The integration of deep learning techniques in healthcare, particularly in diabetes diagnosis, can pave the way for more personalized and timely interventions, ultimately improving patient outcomes.

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 Keywords

Convolutional long short-term memory; diabetes prediction; machine learning; pre-processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Indian economy has been experiencing a major transformation since 1990's in the wake of unilateral economic reforms initiated since 1991 and the reorientation of the economy in accordance with the rules and regulations within the multilateral framework of GATT/WTO. Accordingly, the globalization of production process, market for goods as well as financial markets has been initiated, though slowly. This has generated debate on the linkage between trade policy and economic growth, in addition to other variables, the balance of payments and current account deficits. In this paper an effort has been made to study the impact of trade policy on India's economic growth, balance of payments and current account deficit. The evidence suggests that the trade liberalization policies pursued in India played a positive role in influencing economic growth. Indian exports have been doubled in dollar terms and there is an evidence of export diversification. Imports have been rising continuously and the current account showed a surplus in recent years. Empirical analysis on BOP indicates a statistically significant change during liberalization period. Finally, the open policies seem to have influenced current account balances positively. Finally, the evidence presented by us suggests that the expansion of the government sector is detrimental to growth, i. e., the government led-growth thesis is rejected by the data. An examination of this thesis at a disaggregated level shows that while the expansion of government investment has a negative impact on growth, the impact of growth in government consumption is insignificant. An interesting finding emerging from our study is that the investment ratio has an insignificant impact on growth in India The policy conclusion emerging from this study is that export pessimism of the past was misplaced and India would do well to pursue export expansion much more vigorously than hitherto. This would require policies aimed at offsetting the earlier anti-export bias, such as an aggressive exchange rate policy, lowering the degree and dispersion of protection further, de-reservation of (removal of reservation status for) the small-scale sector and liberalisation of the agricultural and consumer goods sectors.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trade Policy, WTO, Economic Growth, Balance of Payments

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the Indian education system, Foundational literacy and numeracy (FLN) is the education of children of 3 to 8 years age. As per the National Education Policy (NEP 2020), FLN spans from preschool up to grade 2. Foundational literacy is the capability to comprehend and distinguish letters, read well-known words, and establish various forms of communication. Literacy assists students to read, write and speak clearly. Foundational numeracy is understanding and identifying numbers, discriminating between numbers, and performing basic mathematical calculations (addition or subtraction). Future education and lifetime learning both depend on the capacity to read, write, and execute basic mathematical operations. People with these skills can think critically and creatively, which advances the country (GOI, NEP 2020). After 34 years of National Education Policy 1986, The New Education Policy 2020 came into effect in India. In New Education Policy, new provisions were introduced for the overall development of education starting from Bal Vaatika. In this program, FLN (Foundation Literacy and Numeracy) was introduced to improve the basic knowledge, knowledge, language and statistical skills of children from infancy till the age of 9 years. The ultimate objective of FLN (Foundation Literacy and Numeracy) is to bring equality within every child for the sake of imparting knowledge related to language, for the sake of making them adept with the vision. NEP 2020 states in clear words that student's academic learning outcomes will be ensured by FLN. Its full name is Foundation language and literacy. As the name suggests, it is based on knowledge of statistics and language at the foundational level . To achieve the objectives FLN mentioned in the New Education Policy 2020, the year was set for 2025 but later it was extended to 2026-27.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FLN,NEP(2020)

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Creative Commons Attribution 4.0 and The Open Definition

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Dark patterns are tricks used in design to confuse or manipulate users, making it hard for them to express real preferences or take desired actions. The current study looks into the widespread occurrence of dark patterns in India, especially concerning internet users amid the country's fast digitization. It covers India's regulatory environment to safeguard customers and goes into the misleading tactics used by online sites. It also looks at foreign laws regarding dark patterns to provide insightful analysis of the Indian legal system as well as suggestions for improvement. Through this investigation, the study aims to highlight the difficulties Indian consumers face online and offer solutions to lessen the negative effects of dark patterns on their digital engagements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dark patterns, manipulate users, consumers, Indian legal system, foreign laws.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the case of BSC Class-II drugs, solubility is always a problem because of their lipophilic nature. To solve this pharmaceutical problem there are several ways but solid dispersion is the most promising one. Here Efavirenz was taken for increasing solubility. For this, we used PEG 4000, PEG8000 and PEG 20000 hydrophilic polymers in a 1: 0.5, 1: 1, 1: 1.5, 1: 2 and 1: 2.5 ratio by two techniques. The first technique was hot melt extrusion. Whereas the second one was lyophilization. The result came from dissolution and the result of DSC and FTIR also shows the same result.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Efavirenz, PEG, BSC, hot melt extrusion, lyophilization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chronic Kidney Disease, Ischemic Heart Disease, Hypertension, Modification of diet in Renal Disease, Glomerular Filtration Rate.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The kingdom of Bahrain is an archipelago of 33 Islands located in the Arabian Gulf. The island covers 770 square kilometres of land which is connected to the kingdom of Saudi Arabia to the west through the king Fahd Causeway. In Arabic the word Bahrain is a dual form of bahar; it means sea. The name is derived from the topography of the island, as it is surrounded by two kinds of water, sweetwater springs and salty water. This island has started to build its architectural identity in the last 200 years. This paper focuses on the conservation, renovation and rehabilitation of the Amarat Ali Fakhro-I storehouse located in Muharraq, Bahrain. This storehouse devours distinguished architectural elements which are constructed using locally available traditional building materials. This paper throws a light on the structural conservation techniques used on the conservation and renovation of Amarat's storehouse.

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Creative Commons Attribution 4.0 and The Open Definition

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Conservation, Heritage buildings, Bahrain, Structural conservation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, flow of Hyperbolic tangent fluid through a porous medium in a planar channel with peristalsis the effect of Slip and Hall effects under the assumption of long wavelength is investigated. A Closed form solutions are obtained for axial velocity and pressure gradient by employing perturbation technique. The effects of various emerging parameters on the pressure gradient, time averaged volume flow rate and frictional force are discussed with the aid of graphs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hall, Hyperbolic tangent fluid, Hartmann number, long wavelength, peristaltic pumping, Darcy number, porous medium, slip condition, Reynolds number, Weissenberg number, power-law index, pressure gradient, perturbation

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Creative Commons Attribution 4.0 and The Open Definition