Physical Sciences and Engineering

Stock market prediction is a challenging task, as stock prices are influenced by a variety of factors. However, deep learning has emerged as a promising tool for stock market prediction. Deep learning models can learn complex patterns from large amounts of data, which can be used to predict future stock prices. In this paper, we review the application of deep learning in stock market prediction. We discuss the different deep learning models that have been used for stock market prediction, and we evaluate their performance.

En los tiempos actuales, la educación científica, se ha convertido en uno de los pilares fundamentales en la formación de los individuos y la sociedad. En el contexto señalado, surge un enfoque que innova el proceso educativo, el cual, pretende combinar lo tradicional con lo disruptivo, este modelo es el STEM (Ciencia, Tecnología, Ingeniería y Matemáticas). La presente investigación pretende responder al cuestionamiento ¿Cómo asegurar la formación de los alumnos de termodinámica, mediante un experimento a través del uso de las tic?

Overeating creates strain on your digestive system. One of the best ways to stop overeating is to get rid of your appetite and cravings. The way to do that is to get on the healthy and do intermittent fasting. Consuming high quality nutrient dense foods that satisfy the body, on the healthy version of the diet, you are also consuming low carbohydrate foods, which help reduce hunger in between meals.

This study primarily aimed to determine the utilization of reading materials as a basis for effective reading programs. With the recent challenges faced by the educational sectors because of the pandemic, there is a need for reconsideration as to how students can improve their reading comprehension. Considering the number of students in the university, there is a need for the university to revisit the utilization of SRA Reading Laboratory as well as the Power Book Builders after many years of using it.

Exhaust system design has become a tricky job when analyzing the structural integrity of a marketable vehicle where its hot end components like catalytic converters are the most popular exhaust emission control devices. The T6 hot end exhaust model is modelled in FEM process where Hypermesh is used as a pre-processor, Abaqus as a solver. Shell and solid elements were utilized to provide better results in the modal frequency domain. The 3-point and 6-point engine excitation is considered towards the COG of the engine.

At least 40% of the world's population spends their time in places where levels of noise and vibration harmful to health prevail, also the study on the interior of vehicles indicates a significant value of specific descriptors of discomfort induced by noise and vibration. These parameters must comply with the regulations in force, and which appeal to the concept of reliability in systems that ensure the living conditions of passengers.

The present investigation entitled “Evaluation of Genetic Variability for Growth and Yield characters in tomato (Solanum lycopersicum L.).” involving forty three genotypes including one check varieties of tomato was carried out in Randomized Block Design (RBD) with three replications during 2022-2023 at Faculty of Agriculture Farm, Guru Kashi University, Talwandi Sabo. The observations were recorded for growth, quality and yield characters. The maximum plant height was recorded in the genotype F-2 IDH-1 (207.67cm), days to first flowering (32.80).

Considering the development of communication technology and the dependence of today's society on it, its use in transportation is important. The increase in many problems in urban traffic management, driving and guidance of cars on suburban roads and the heavy financial and human costs caused by these problems have become a big challenge. At the same time, the development of communication and information technology as an advantage clearly shows the need to use intelligent vehicle communication technology in the field of transportation.

Results of the field experiment entitled “Impact of Cauliflower (Brassica oleracea var. botrytis) varieties for growth and yield characters by different sowing dates” conducted at the Guru Kashi University Research Farm during the rabi season of the year 2022. The objective was to evaluate the effect of two planting dates (8th September and 23rd October) on growth and yield attributes of ten varieties Kanchan, Noval, Golden 1100, Pusa snowball, Syngenta lucky,PSC666, Syngenta jasska, Shubhra, Joti-2 and Selection-1.

The aim of the study is to identify the representations that first-year Baccalaureate students at the Physical Education and Sports Institute (Institut d’Education Physique et des Sports-IEPS) of the University of Burundi have of their training. A written questionnaire was administered to 106 students. The results showed that students who had been oriented at the IEPS were not sufficiently informed about the training on offer at this institute, which did not motivate them to choose it as a training stream.