Changes in Household Size and Depression: A Temporal Analysis

This study examines the relationship between changes in household size and depression through a temporal analysis using the Korean Welfare Panel Study. The number of household members at both t-1 and t year was measured and a generalized estimating equation was used. Households that increased in size after a year showed a lower prevalence of depression than the corresponding reference groups. On the contrary, when individuals from multi-person households inhabited single-person households after a year, their probability of experiencing depression increased by more than 70% in comparison to those who remained in single-person households throughout.

An exact algorithm for constrained k-cardinality unbalanced assignment problem

An assignment problem (AP) usually deals with how a set of persons/tasks can be assigned to a set of tasks/persons on a one-to-one basis in an optimal manner. It has been observed that balancing among the persons and jobs in several real-world situations is very hard, thus such scenarios can be seen as unbalanced assignment models (UAP) being a lack of workforce. The solution techniques presented in the literature for solving UAP’s depend on the assumption to allocate some of the tasks to fictitious persons; those tasks assigned to dummy persons are ignored at the end. However, some situations in which it is inevitable to assign more tasks to a single person. This paper addresses a practical variant of UAP called k-cardinality unbalanced assignment problem (k-UAP), in which only of persons are asked to perform jobs and all the persons should perform at least one and at most jobs. The k-UAP aims to determine the optimal assignment between persons and jobs. To tackle this problem optimally, an enumerative Lexi-search algorithm (LSA) is proposed. A comparative study is carried out to measure the efficiency of the proposed algorithm. The computational results indicate that the suggested LSA is having the great capability of solving the smaller and moderate instances optimally.

Computational Fluid Dynamics (CFD) Analysis of 3D Car Model to Understanding Key Aerodynamic Issues and Their Interaction with Other Motorsport & Automotive Vehicle System

Growing population of vehicles is one the biggest global concern and it led to traffic problems and creates congestion. People are not getting place to park their vehicles. Travel by car for shorter distance also stressful and time consuming because they have to face road traffic and usually cars are big at size so, to travel by car on road need more spacious and traffic free roads. that’s why some manufacturers start designing & manufacturing One seater vehicle which can easily transportable and create less congestion. If a single person wants to ride somewhere then he doesn’t have to take large car for one person, He can use single seater vehicle. In this assignment I have Designed and Tested a single seater electric vehicle which can easily transportable, compact and personal commuter vehicle (PMV). Keywords: CFD analysis, Aerodynamics analysis, automotive vehicle system, 3D modelling, pressure plot, performance optimization, vehicle aerodynamics.

Learners with Special Needs: Problems faced by Students and Teachers at University Level

Every person in this world has the right to be educated and by every person means every single person, yes, the persons of special needs as well. About 15 percent of the world’s population has suffered various forms of disabilities such as visual and hearing impairment, physically handicapped, or mental retardation. Literature provides pieces of evidence that this area of education is often neglected and therefore this qualitative research aimed to highlight the importance of inclusive education in Pakistan. As there were limited researches available and most of them are based on document analysis so, the 1st purpose of this research was to find out the problems that a teacher faced while teaching a special learner at a higher education level. 2nd to find out the student’s perspective of studying in an inclusive setting at the university level. For this purpose, a phenomenological design was used and both teachers and their students took interviews. Both teachers and students that obstruct teaching and learning in inclusive classrooms identified the following four zones. (a) Insufficient knowledge of teachers and lack of awareness about inclusion in the classroom. (b) Lack of training employed in inclusive or regular classrooms with differently-abled students; (c) Lack of examination to choose the most suitable aids which helpful for the teaching in the inclusive regular classroom. (d). Learning difficulty and psychological issues in the classroom.

A Deep Learning Based System for the Detection of Human Violence in Video Data

The number of security cameras positioned within the surrounding area has expanded, increasing the demand for automatic activity recognition systems. In addition to offline assessment and the issuance of an ongoing alarm in the case of aberrant behaviour, automatic activity detection systems can be employed in conjunction with human operators. In the proposed research framework, an ensemble of Mask Region-based Convolutional Neural Networks for key-point detection scheme, and LSTM based Recurrent Neural Network is used to create a deep neural network model (Mask RCNN) for recognizing violent activities (i.e. kicking, punching, etc.) of a single person. First of all, the key-points locations and ground-truth masks of humans in an image are selected using the selected region; the temporal information is extracted. Experimental results show that the ensemble model outperforms individual models. The proposed technique has a reasonable accuracy rate of 77.4 percent, 95.7 percent, and 88.2 percent, respectively, on the Weizmann, KTH, and our custom datasets. As the proposed effort applies to industry and in terms of security, it is beneficial to society.

Learners with Special Needs: Problems faced by Students and Teachers at University Level

Purpose: Every person in this world has the right to be educated and by every person means every single person, yes, the persons of special needs as well. About 15 percent of the world’s population has suffered various forms of disabilities such as visual and hearing impairment, physically handicapped, or mental retardation. The 1st purpose of this research was to find out the problems that a teacher faced while teaching a special learner at a higher education level. 2nd to find out the student’s perspective of studying in an inclusive setting at the university level. Design/Methodology/Approach: A phenomenological design was used and both teachers and their students took interviews. Qualitative theme analysis method was used in this study to analyze the teachers and students’ perceptions. Findings: The study’s findings provide an understanding of the experiences of teachers as well as perspectives regarding disabilities of learners in the regular classroom. They both recognized four zones that obstruct their capability to efficiently teach in a mixed ability classroom and the regular classroom. (a) Insufficient knowledge of teachers and lack of awareness about inclusion in the classroom. (b) Lack of training employed in inclusive or regular classrooms with differently-abled students; (c) Lack of examination to choose the most suitable aids which helpful for the teaching in the inclusive regular classroom. (d). Learning difficulty and psychological issues in the classroom. Implications/Originality/Value: From This research everyone will be benefited: students, as per their learning will be improved by it; educators as it will improve their teaching and efficiency in the classroom and parents, as their children will more likely to have a positive environment in the university. It will provide them an opportunity to learn from each other at the university level.