Digital financial literacy is becoming more and more acknowledged as a necessary skill set in today's digital economy. The goal of this systematic literature review is to present a thorough overview of the body of knowledge currently available on digital financial literacy, with an emphasis on its definition, traits, assessment techniques, and implications. Fifty pertinent publications were found after a thorough search of internet databases for this evaluation. The results show that understanding digital financial goods, using digital tools for financial management, and guarding against digital financial hazards are just a few of the competencies that make up digital financial literacy. The report emphasizes the need for more investigation into the connection between digital financial literacy and financial well-being. All things considered, this review contributes to our understanding of digital financial literacy and provides direction for scholars, instructors, and legislators who wish to encourage financial literacy in the digital age.

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In Madhya Pradesh. Bhopal, as the capital city, must sustain its growth momentum, and this event is classified as household characteristics, which are one of the factors influencing trip generation and attraction, as well as assigning traffic signals, channelization, and intersections to each zone in Bhopal. The purpose of this research is to identify the factors that contribute to traffic congestion in Bhopal, as well as potential solutions to these issues. The Chetak Bridge area is also heavily influenced by the Bhopal Metro Railway Station because it is too close to the market area, and the entire area is influenced by the travelers who use the rack points near the Vidisha Railway Station. In this study, we investigate solutions to road traffic congestion caused by rotary intersections. Rotary intersections, or roundabouts, have been proposed as a solution to traffic congestion. On the plus side, rotaries can keep traffic moving while avoiding red light delays.

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Concrete is the most comprehensively used material for construction in building technology. However, production of the cement releases huge amounts of carbon dioxide (CO2) to the atmosphere that leads to increasing the global warming worldwide. Thus, for environmental friendly construction an innovative alternative material such as photo catalyst concrete has been established. Photocatalytic concrete replaces the Conventional cement and gives eco-friendly alternative binder. This technology offered Nano particles to improve their mechanical properties by adding the Nano clay into the cement paste. Such type of concrete also has been developed to be performed as self-cleaning construction materials. The self-cleaning properties of the concrete are improvised with the help of photocatalytic materials such as titanium Di-oxide (TiO2). Self-cleaning concrete that contains those photocatalytic will be strengthened by ultraviolet (UV) radiation and hastens the disintegration of organic particulates. Thus, the neatness of the building surfaces can be sustained and pollution developed in air can be reduced. In this study, the photocatalytic material used is Titanium dioxide (TiO2) which is added to concrete by 3, 5, and 8% of cement by weight. The fly ash can also be used to improve the properties of such concrete in order to enhance the self-compacting properties. The fly ash replaces the cement by 10%, 20% & 30% respectively for different grades of concrete. The various tests i.e. compressive strength test, flexural strength test and tensile strength test will be conducted on the specimen of hardened concrete. Workability test will be conducted on fresh concrete for determining the property of self-cleaning concrete. Durability test of self-cleaning concrete was conducted by using sodium chloride (NaCl) solution. The test for determining the self-cleaning property of the photocatalytic concrete is examined by using RhB (Rhoda mine dye) discolouration under U.V. light, which is also considered as a standard test for self-cleaning cementitious materials. The results will give an idea regarding the suitability of alternative material rather than conventional concrete and with the photocatalytic action the concrete will be used as self-cleaning which will be eco-friendly for environment.

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One of the materials that is most frequently utilized in the building industry is concrete. Sand, cement, water, and aggregate make up the majority of the materials in concrete mix. River sand and regular Portland cement are typically utilized as fine aggregate and cement in concrete mixes. Because excessive river sand excavation is causing river beds to erode and fail, which is turning into a major environmental problem, oyster shell ash and marble powder are being used in place of cement to solve this problem. The main goal of this study was to create a high-performance concrete by substituting oyster shell for cement and experimenting to measure the impact of the shell on the concrete. This experiment is to be carried out using several tests which include initial tests for cement, fine aggregate and coarse aggregate, workability, compressive, tensile and flexural test etc.

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The study conducted dynamic analyses of various configurations of Hybrid Outrigger Systems, encompassing different models of outriggers, to comprehensively evaluate and compare their response under seismic loading conditions. This study presents a comprehensive time-history analysis of a 40-storey building subjected to three distinct ground motion records: El Centro, Bhuj, and Mexico. The dynamic behavior of the structure is rigorously simulated, accounting for nonlinear effects to assess parameters such as story drift, lateral displacement, story shear, and overturning moment. The comparative analysis aids engineers and designers in understanding the effectiveness of different ground motion records and informs decision-making regarding seismic design and risk mitigation strategies for tall buildings.

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The promotion of mental health and positive mental health's maintenance have been a significant problem on the global level. Anxiety, depression, OCD, Bipolar disorder, stress, eating disorders, the pressure of work, and education are some of the common mental health issues that people are usually grappling with across the globe. This will make solving the complexity of the human mind the number one need for the attribution of ongoing initiatives to hasten that process. The mental issue is to be alleviated as it stands. Hence, implementation of technologies for evaluation and support is suggested and the strategy prioritises technological interventions here. The classical mechanisms of mental health assessments go head-to-head with a considerable number of challenges including societal stigmatisation, financial implications, and accessibility limitations. To this end, our novel software remains as a tool for digital treatment, which actually costs less and ensures user privacy. Our system organises a thorough evaluation process to diagnose the patient's problem and proffer custom-made solutions. Furthermore, it layers a chatbot for the user to supply crucial emotional backup. The system collects data of various kinds and kinds of data, including unstructured files, refined datasets, questionnaires, and data from APIs, all of which are stored in a specific database to facilitate prediction modelling. Then starts with an automated web-based questionnaire, the BRIEF MENTAL HEALTH SCREENING, which has been created and tested to aid the users with insights into their mental well-being. With the help of machine learning algorithms, the system determines if people are suffering from mental health problems. In cases where the feedback is too general, the tool conducts an intensive breakdown of the data. Age-based questions form the basis of this phase, where the indication of psychological health will be through unheard-of features such as musical tastes, dietary preferences, facial recognition, and screen time. Post the detection of a mental health problem, a series of tests, including the battery screens, which may reveal a range of conditions such as depression, anxiety, stress, social anxiety, and bipolar illness, will be conducted. The collective overall score from these evaluations can be the central point for a comprehensive decision on the user's situation. Post-diagnosis, our system extends its support further by offering an interaction platform with an emotionally attuned chatbot. This dynamic chatbot adapts its responses to align with the user's emotional state, providing an empathetic and personalised interaction. Whether the user is in distress or feeling down, the chatbot's responses mirror their emotional disposition, fostering a sense of confidence and encouragement. By Adopting An All-encompassing methodology, our system strives to comprehensively address mental health challenges, sparing no effort to enhance well-being.

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Mathematical models are utilised in nearly all areas of electronics to represent various devices. Mathematical modelling allows for the study of electrical device properties without the need for physical hardware. A mathematical model is frequently employed as a surrogate for a physical equipment that has to be evaluated, resulting in a substantial reduction in measurement expenses. Like other electrical devices, a loudspeaker can also be characterised using equations that define its performance and characteristics. The mathematical representation of a dynamic speaker is derived from its equivalent circuit. The paper outlines a mathematical approach for mimicking distortions in loudspeakers employed in alarm systems. It is feasible to simulate the standard parameters of loudspeakers using an electrical equivalent circuit and a mathematical model.

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