The Paradox of Paradise: Durkheim on Dubai

In today’s age of expanding urbanization, it seems that no corner of the world is spared from sprouting metropolises - all aspiring to emulate the modern American city. In this aspiration, these cities direct all available resources to creating a solid infrastructure, advancing and developing technologically, building ample job opportunities, fostering as much capital as possible and so forth, all with the singular goal of cultivating a flourishing economy. The capitalist model has well extended from its status as an economic model to become the ideal model for modern society as a whole. This means that today, society is primarily striving to achieve a state of ever-increasing economic growth, as per capitalism. Regardless of its feasibility, such a goal entails a society that is principally centered on personal gain. But with this immense focus on the individual and individual wealth, are we compromising something even bigger than the individual? Using Dubai as a case study, this essay argues that indeed, modernization is diminishing social solidarity and thereby, alienating the citizen from the larger society. Emile Durkheim’s theories are explored and applied to assert that the hyper-individualism that is prevalent in current society has overwhelmed the individual’s sense of identity and belonging. The main question here is: is the trade off worth it? How can one resolve this apparent paradox that the aspects that appear to provide the most happiness for us, i.e., monetary gain, personal success, are the same aspects that seem to beget depressed feelings of loneliness and isolation? In many ways, this inquiry is a direct result of modernity, and is arguably the question of our time

Synthesis, Structural Studies and Desilylation Reactions of Some N-2-(Trimethylsilyl)ethyl-N-nitrosocarbamates

The present report describes the preparation and characterization of several N-2-(trimethylsilyl)ethyl-N-nitrosocarbamates, designed as precursors to thermally unstable secondary N-nitrosocarbamate anions via fluoride-assisted cleavage. X-ray structural studies demonstrate that the core N-nitrosocarbamate moiety has a nearly planar geometry, with an s-E orientation at the N–N bond. DFT calculations (B3LYP/6-31+G(d)) reproduce accurately the structural features of the title compounds and detailed conformational analysis at the same level of theory addresses the long-standing issue of preferred geometries for three classes of related structures: N-nitrosocarbamates, N-nitrosoureas and N-nitrosoamides. Desilylation studies demonstrate that both the solvent and the fluoride concentration influence the rate of the process

Toward Ethical Technology: Framing Human Rights in the Future of Digital Innovation

The health of our American democracy depends upon equitable and safe digital spaces. This report examines and synthesizes intersectional movements to build better, more inclusive, and humane technologies. It also introduces a set of principles and inclusive frameworks to help platform, product, and policy leaders conceptualize intentional ethical technology that is responsive to the needs of impacted communities and shape meaningful interventions for systems-level shifts at the intersections of technology and human rights. Rights x Tech is a forum and community that explicitly explores the intersections of technology and power. It brings together technologists, policymakers, and movement leaders for dialogue and solution-building on emerging issues around human rights, products, and power

Uncertainty in Consumer Behaviour with Reference to Factors Influencing Consumer Purchase Decision of Smartphones in the City of Bengaluru

This article attempts to investigate and understand the factors that influence the purchase decision towards smartphones in Bangalore. Bangalore is a cosmopolitan and multilingual city with a mixed culture. It is also a famous city in India with the IT sector and educational institutions, which has grown in the recent past. The shopping pattern in Bangalore is found to be very interesting when compared to other south Indian cities because the spending pattern of people in Bangaloreprovokes the consumers to purchase. A survey was conducted to determine the factors influencing smartphone purchase. A simple random sampling technique has been used with a sample size of 190. Factor analysis was run to reduce the dimensions and find the aptest variables influencing the consumer purchase decision. From the analysis, the researchers have derived five iterations which are price and in-built features(Component 1), camera, battery backup and sound quality(Component 2), marketing strategy and social groups(Component 3), brand image and origin of the company (Component 4), EMI and replacement option(Component 5). This study will help the marketers in understanding the expectation of the consumer’s from the product and figure out the areas of improvement in smartphone features and other factors influencing the purchase so that they can tailor make the product as per customer requirement and understand the most crucial factor contributing to the sale. Uncertainty is to be understood by the marketers, as drastic changes in needs, wants, desire, and expectations are needed

Convolution Neural Network Based Prediction for Eye Gaze Estimation

Levels of progress in progress have truly made it possible to get various kinds of biometric information from individuals, enabling bases on assessment of human conditions in cure, auto prospering, advancing, and various zones. These evaluations have particularly featured eye improvement as a convincing marker with respect to human conditions, and assessment on its applications is adequately being pursued. The contraptions as of now for the most part used for assessing eye overhauls rely on the video-oculography (VOG) procedure, wherein the course of look is outlined by managing eye pictures crushed a camera. Applying convolutional neural network (ConvNet) to the getting ready of eye pictures has been seemed to enable exact and unprecedented look assessment. Ordinary picture overseeing, in any case, is begun on execution using a PC, making it difficult to finish consistent look. We hence propose another eye picture overseeing framework that cycles look assessment and event disclosure starting with one fulfillment then onto the accompanying using a self-governing engineered lightweight ConvNet. This paper evaluates the course of action of the proposed lightweight ConvNet, the frameworks for learning and appraisal used, and the proposed methodology's ability to meanwhile see look heading and event occasion using a truly unassuming memory and at lower computational complex nature than standard ways of thinking

Implementation of innovative approach for detecting brain tumors in magnetic resonance imaging using NeuroFusionNet model

The goal of this study is to create a strong system that can quickly detect and precisely classify brain tumors, which is essential for improving treatment results. The study uses advanced image processing techniques and the NeuroFusionNet deep learning model to accurately segment data from the brain tumor segmentation (BRATS) dataset, presenting a detailed methodology. The objective is to create a high-precision system that surpasses current methods in key performance metrics. NeuroFusionNet demonstrates outstanding accuracy of 99.21%, as well as impressive specificity and sensitivity rates of 99.17% and 99.383%, respectively, exceeding previous benchmarks. The findings emphasize the system's ability to greatly enhance the diagnostic process, enabling early intervention and ultimately improving patient care in brain tumor detection and classification