Physical Sciences and Engineering

Start up is the need of the hour as far as Indian economy is concerned. The start up are the gateway through which an economy is passing. The factors which are responsible for attracting the students towards it are family support, risk taking capacity, urge to be self employed and creativity. All these factors were evaluated with the help of PLS SEM. The primary data was collected from three hundred and fifty-four respondents. it is found that all theses factors were significant. Further study in terms of agri-business is desired.

Introduction: Factors such as social inequality, poverty, and spatial vulnerability contribute significantly to increased violence and insecurity in natural or induced disasters, especially in already marginalized communities. This study aims to analyze the most frequent vocabularies in media reports dealing with violence during the 2024 floods in Rio Grande do Sul.

This paper examines the intricate relationship between development, state formation, and ethnicity in the South Pacific and Northern Kenya to establish a framework for comparative research. Comparative approach was used to analyse the interaction between state policies, development interventions, and local ethnic identities, elucidating their impact on community resilience and agency Both regions exhibit varied ethnic compositions and historical encounters with colonialism; nonetheless, they markedly diverge in their developmental paths and state formation processes.

The study examines the impact of Information Communication and Technology (ICT) on the township economy in the Hammarsdale area. Hammarsdale is a township in the province of KwaZulu-Natal, South Africa.

This study examines the livelihoods of fishmongers at Dunga Beach on the banks of Lake Victoria in Kisumu County, emphasizing the dual themes of vulnerability and resilience within the framework of economic activities related to fisheries. The study employed qualitative and quantitative methods, such as interviews, surveys, and field observations, to collect data from a diverse sample of 100 fishmongers, who are integral to the local economy and food security, documenting their experiences and strategies amid various stressors.

The addition of specific additives to glass compositions can enhance their shielding properties. This study aimed to investigate shielding parameters such as the linear attenuation coefficient, half-value layer (HVL), tenth-value layer (TVL), and saturation thickness in phosphate glass doped with bismuth oxide. The research was conducted using Monte Carlo computational simulations, which enable accurate modeling of real experiments and analysis of various parameters.

In recent years, the movie business has relied more and more on consumer input to inform choices about production, marketing, and distribution. The growing volume of user-generated content on websites like IMDb and Rotten Tomatoes has rendered manual examination of movie reviews unfeasible. This study's primary instrument for automating sentiment analysis of movie reviews is the Long Short-Term Memory (LSTM) algorithm. Word context recognition and sequential data processing are two areas where LSTM-type recurrent neural networks (RNNs) excel.

In this paper one mathematical model of filtration theory with phase transitions is investigated. When using surface-active substances (surfactants) for the development of oil and gas fields in the reservoir occur sorption processes at the interfaces of individual phases (surfactants and oil, or surfactants and soil). In real processes a finite time is required for achievement equilibrium. Therefore considering the mathematical model was called the mathematical model with phase relaxation.

Recent developments in AI and NLP have evolved the notion of a PVA toward an indistinguishable personal tool for the sake of productivity enhancement. The study targets using one best-of-class NLP model in transformer architecture type, for instance, GPT, in generating PVAs. Such models make it possible to represent natural language highly accurately; the NLP allows PVAs to better comprehend preferences and anticipate what users will likely want. The study explores how NLP-driven PVAs can improve workflows, optimize time management, and offer smart support in the decision-making process.

Effective hospital outpatient visits flow forecasting is an important task for modern hospitals to implement intelligent management of medical resources. Since outpatient visits flow may be nonlinear and dynamic, we propose a hybrid model, which combines motif information and k-nearest-neighbors regressor. Time series motif is a previously unknown pattern appearing frequently in a time series.