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This study investigates the impact of deep learning on various academic disciplines including arts and humanities, social sciences, engineering, health and management to explore its implications on academic achievement, research and societal relevance. This study shows that deep learning impacts social sciences, engineering, health, the arts, the humanities and management disciplines. Deep learning combines artificial intelligence and machine learning revolutionizing the teaching and learning experience. This research carefully explores the implications of deep learning on academic achievement, research and societal relevance, hence filling gaps in understanding deep learning in diverse academic domains. The quantitative research approach collects data from top-ranked global university students producing 971 valid responses from different academic disciplines. SEM and CFA were employed to validate the measurement model, thereby providing a robust statistical foundation for the study. This study illustrates that diverse academic domains have strong and positive relationships between deep learning, academic influence, research enhancement and social relevance. However, the observation of deep learning has a greater impact on the field of science and technology. The findings of this study emphasize ethical frameworks, model interpretability and responsible resource allocation in deep learning integration. This research guides teachers, policymakers and institutions to maximize the benefits of deep learning in diverse academic fields by emphasizing ethical considerations, interdisciplinary collaboration and long-term planning for responsible and effective integration. [ABSTRACT FROM AUTHOR]

The present research investigates the determinants that impact the decision-making process about sustainable purchasing. The study's conceptual framework encompasses customer attitudes, values, beliefs, environmental awareness, perceived environmental impact, price and value, and product attributes. The study aims to comprehend the inclination toward environmentally friendly purchases and the elements that promote their behavior. The study employs quantitative techniques using SEM-PLS, a robust approach for formulating hypotheses and performing mediation and moderation analysis, to comprehend the dynamics of green purchase behavior. The web survey conducted from 30 October 2023 to 16 December 2023 forms the basis of the data analysis. Throughout this period, 744 responses were collected in total. The study's findings establish correlations between characteristics and the propensity of individuals to buy environmentally friendly products. Personal attitude, subjective norm, and perceived behavioral control are factors that are associated with variables that impact the relationship between customer attitudes and the intention to buy environmentally friendly products. The study significantly contributes to domain marketing by establishing a new concept called "sustainable product evaluation". This concept includes factors such as perceived environmental values and beliefs, perceived environmental impact, and product features. Incorporating a new variable improves the comprehension of the factors that influence environmentally conscious decision-making among Saudi Arabian consumers. While the majority of our sample was university students, we want to understand sustainable consumption behavior. The results may not reflect the general population. Due to this constraint, we advise diligence when interpreting the results in light of public attitudes and experiences. [ABSTRACT FROM AUTHOR]

The synthesis of HIV-1 protease inhibitor DMP 323 is based on the production of the acetonide as the favored core C2 symmetric diol by pinacol homocoupling of CBZ protected D-phenylalanine. Crystallization from a mixture of DMF and ethyl acetate generates the desired product in 75-95% yield depending upon the purity of 3. The termination step in the synthesis of DMP 323 involves elimination of protecting groups by using a mixture of toluene/methanol/concentrated HCl. The experimental procedure for the synthesis of dihydroxy diazapinone is discussed.

Protection of the C-2 position of 2, 3-dideoxyribosyl acetate with an alpha-phenylselenenyl group allows the stereoselective synthesis of 2',3'-dideoxy- and 2',3'-didehydro-2', 3'-dideoxynucleosides in favor of the beta-isomers. The selenenyl group is easily removed by treatment with tributyltin hydride or triethylborane to give the 2',3'-dideoxynucleoside or with hydrogen peroxide in catalytic pyridine to yield the didehydro form. The technique is applicable to a wide range of pyrimidine and purine dideoxynucleosides with potential use as anti-HIV agents.