Physical Sciences and Engineering

Machine learning-based predictive models for cardiovascular risk assessment in data analysis, model development, and clinical implications

Cardiovascular diseases (CVDs) remain a leading global cause of morbidity and mortality. Timely identification of individuals at risk is paramount for effective interventions and prevention. This study endeavors to develop machine learning approaches for predicting the initial cardiovascular risk level analyzing the dataset encompassing patient demographics, medical history, lifestyle factors, and clinical indicators.

Utilization of reading materials: Basis for an effective reading program

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.

Optimization of automotive hot end exhaust brackets by modal and frequency response analysis

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.

Analysis of the effects of vehicle vibrations and noise on the human body

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.

Evaluation of genetic variability for growth and yield characters in tomato (solanum lycopersicum l.)

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).

Artificial intelligence routing algorithms in inter-vehicle mobile networks

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.

Effects of different planting dates on growth and yield of cauliflower (brassica oleracea l. var. botrytis) under punjab conditions

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.

Students' representations on their training at the physical education and sports institute

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.

Genetic diversity analysis in tomato (solanum lycopersicum l.) under protected cultivation

In this study, the genetic diversity of 20 tomato genotypes was assessed under protected cultivation, focusing on 22 different characteristics. Through the application of D2 statistics, the genotypes were classified into seven distinct clusters. Cluster II consisted of the highest number of genotypes (six), followed by cluster III (four), cluster IV (three), cluster V (three), cluster I (two), cluster VI (one), and cluster VII (one). Cluster II exhibited the greatest intra-cluster distance, indicating a higher level of variation within the genotypes of this cluster.