Implementing a Search Engine for Bangladeshi E-Commerce Product

This project is concern with the practical implementation of Information Retrieval, where the main focus is on the algorithmic challenges in efficiently representing large data sets while supporting fast searches in the Web. The application was developed by using a system approach where analysis, design and development were carried out by the incremental model. The main aim of this work to introduce an efficient Information Retrieval System for Bangladeshi Ecommerce Product Search Engine. This search engine base on the technology of public search engine and is built specific for the structure of Bangladesh E-commerce Search Engine. The system provides the relevant searching results from Bangladeshi web domains. The proposed system has been designed and developed using Python programing language tools and methods

CENTELLA ASIATICA (LINN.) URBAN AMELIORATES OXIDATIVE STRESS ON ERYTHROCYTE MEMBRANE

The effect of Centella asiatica on erythrocyte membrane under normal and oxidative stressed condition was investigated in the present study. 100% ethanol, 50% ethanol and water extract of Centella asiatica were screened for in vivo study by in vitro hypotonia-induced and time dependant H2O2-induced antihemolytic activity assay. During in vivo study, test group rats (n=7) were orally administered with 50% ethanol extract of Centella asiatica at a dose of 250 mg/kg/day for 6 weeks while control group rats were administered with normal saline. Then, levels of lipid peroxide (LPO) of erythrocyte ghost membrane from control and test group rats were estimated under normal and in vitro H2O2-induced oxidative stressed condition. All of the three extract prevent hypotonic solution induced hemolysis while 50% ethanol extract showed highest H2O2-induced antihemolytic activity in a time dependant manner. The LPO levels of the erythrocyte ghost membrane under H2O2-induced oxidative stressed condition were significantly decreased as a result of C. asiatica administration but not in normal condition. Therefore, the extract of C. asiatica has the ability to ameliorate oxidative stress on erythrocytes membrane at least upon oxidative challenge

Modeling and numerical study of the diffusion of point defects in α−iron

Le fer et les alliages à base de fer présentent un intérêt considérable pour la communauté de la modélisation des matériaux en raison de l’immense importance technologique de l’acier. Les alliages ferritiques à base de fer sont largement utilisés dans les industries aéronautique et nucléaire en raison de leur résistance mécanique élevée, de leur faible dilatation à haute température et de leur résistance à la corrosion. Ces propriétés sont cependant affectées par des défauts ponctuels intrinsèques et extrinsèques. Dans cette thèse, nous décrivons en détail la cinétique des défauts ponctuels dans le fer α en utilisant la technique d’activation-relaxation cinétique (ARTc), une méthode de Monte Carlo cinétique hors réseau avec construction de catalogue à la volée. Plus précisément, nous nous intéressons aux mécanismes de diffusion du carbone (C) et des amas de lacunes dans le fer α. Dans un premier temps, nous étudions l’effet de la pression sur la diffusion du carbone dans le joint de grains de fer α. Nous constatons que l’effet de la pression peut fortement modifier la stabilité et la diffusivité du carbon dans le joint de grains d’une manière qui dépend étroitement de l’environnement local et de la nature de la déformation. Ceci peut avoir un impact majeur sur l’évolution des matériaux hétérogènes, avec des variations de pression locale qui altéreraient fortement la diffusion à travers le matériau. Nous étudions également l’évolution structurale des amas de lacunes contenant de deux à huit lacunes dans le fer α. Nous décrivons en détail le paysage énergétique, la cinétique globale et les mécanismes de diffusion associés à ces défauts. Nos résultats montrent des mécanismes de diffusion complexes même pour des défauts aussi simples que de petits amas de lacunes. Enfin, dans le dernier chapitre, nous discutons une approche de gestion de petites barrières par bassin local dans ARTc. Les simulations de Monte Carlo cinétiques deviennent inefficaces dans les systèmes où le paysage énergétique est constitué de bassins avec de nombreux états reliés par des barrières énergétiques très faibles par rapport à celles nécessaires pour quitter ces bassins. Au fur et à mesure que le système évolue état par état, il est beaucoup plus susceptible d’effectuer des événements répétés (appelés oscillateurs) à l’intérieur du bassin d’énergie de piégeage que de s’échapper du bassin. De tels osccilateurs ne font pas progresser la simulation et ne fournissent que peu d’informations au-delà d’uen première évaluation de ces états. Notre algorithme de bassin local détecte, à la volée, des groupes d’états oscillants et les consolide en bassins locaux, que nous traitons avec la méthode de taux moyen d’auto-construction de bassin (bac-MRM), une approche de type équation maîtresse selon la méthode du taux moyen.Iron and iron-based alloys are of considerable interest to the materials modelling community because of the immense technological importance of steel. Iron-based ferritic alloys are widely used in aeronautic and nuclear industries due to their high mechanical strength, low expansion at high temperatures, and corrosion resistance. These properties are affected by intrinsic and extrinsic point defects, however. In this thesis, we describe in detail the kinetics of point defects in α−iron using the kinetic activation-relaxation technique (kART), an off-lattice kinetic Monte Carlo method with on-the-fly catalog building. More specifically, we focus on the diffusion mechanisms of carbon and vacancy clusters in α−iron. First, we study the pressure effect on carbon diffusion in the grain boundary (GB) of α−iron. We find that the effect of pressure can strongly modify the C stability and diffusivity in the GB in ways that depend closely on the local environment and the nature of the deformation. This can have a major impact on the evolution of heterogeneous materials, with variations of local pressure that would strongly alter diffusion across the material. We also study the structural evolution of vacancy clusters containing two to eight vacancies in α−iron. We describe in detail the energy landscape, overall kinetics, and diffusion mechanisms associated with these defects. Our results show complex scattering mechanisms even for defects as simple as small vacancy clusters. Finally, in the last chapter, we discuss a local basin approach to managing low barrier events in the kART. Kinetic Monte Carlo simulations become inefficient in systems where the energy landscape consists of basins with numerous states connected by very low energy barriers compared to those needed to leave these basins. As the system evolves state by state, it is much more likely to perform repeated events (so-called flickers) inside the trapping energy basin than to escape the basin. Such flickers do not progress the simulation and provide little insight beyond the first identification of those states. Our local basin algorithm detects, on the fly, groups of flickering states and consolidates them into local basins, which we treat with the basin-auto-constructing Mean Rate Method (bac-MRM), a master equation-like approach based on the mean-rate method

Socio-demographic differences of disability prevalence among the population aged 60 years and over in Bangladesh

This study aims to delineate the sociodemographic differences in disability prevalence across the population aged 60 years and over in Bangladesh, and to investigate the association of factors with reporting disability in later life. A microdata sample for those aged 60 years or over from the Census of Bangladesh 2011 was used where disability was assessed with a self-reported single response question. Logistic regression models were performed separately for men and women. Results reveal that the disability prevalence rate increased sharply with age, and it was higher among older women (5.2%) compared to men (4.8%). Physical and vision disabilities were the two categories with the highest prevalence of reported disabilities, with a higher prevalence of physical disability among men and vision disability among women. Being older, female, currently not in marital partnership, and having a lower educational attainment, not being employed, living alone, and residing in the rural areas were significantly associated with reporting disability in later life. The higher prevalence of disability among older women, those who are illiterate, and those residing in rural areas highlights the need for policies prioritising these groups. Special attention should also be given to those who are currently not in marital partnership, particularly women who are living alone

Fully Fuzzy Linear System in Circuit Analysis with the Study of Weak Solution

In this paper, a simpler method to solve a fully fuzzy linear system (FFLS) with unrestricted coefficient matrix is discussed. FFLS is applied in circuit analysis instead of crisp linear system to reflect the real life situation much better. Arithmetic operations of triangular fuzzy number (TFN) are justified by forming FFLS in an electrical circuit with fuzzy sources and fuzzy resistors and then the system was solved by the simpler method. Finally, the case of weak solution is overcome by proposing a new definition of TFN. Keywords: Fuzzy number, Triangular fuzzy number, Fully fuzzy linear system, Circuit analysis, Weak solutio

Minimize Web Applications vulnerabilities through the early Detection of CRLF Injection

Carriage return (CR) and line feed (LF), also known as CRLF injection is a type of vulnerability that allows a hacker to enter special characters into a web application, altering its operation or confusing the administrator. Log poisoning and HTTP response splitting are two prominent harmful uses of this technique. Additionally, CRLF injection can be used by an attacker to exploit other vulnerabilities, such as cross-site scripting (XSS). According to Open Web Application Security Project (OWASP), CRLF vulnerabilities are among the top 10 vulnerabilities and are a type of injection attack. Automated testing can help to quickly identify CRLF vulnerabilities, and is particularly useful for companies to test their applications before releasing them. However, CRLF vulnerabilities foster a better approach to mitigate CRLF vulnerabilities in the early stage and help secure applications against high-risk known vulnerabilities. There has been less research on CRLF vulnerabilities and how to detect them with automated testing. There is room for further research to be done on this subject matter in order to develop creative solutions to problems. It will also help to reduce false positive alerts by checking the header response of each request. Security automation is an important issue for companies trying to protect themselves against security threats. Automated alerts from security systems can provide a quicker and more accurate understanding of potential vulnerabilities and can help to reduce false positive alerts. Despite the extensive research on various types of vulnerabilities in web applications, CRLF vulnerabilities have only recently been included in the research. Utilizing automated testing as a recurring task can assist companies in receiving consistent updates about their systems and enhance their security.Comment: under peer revie

Human Face Detection and Segmentation of Facial Feature Region

Human face, facial feature detection and Segmentation have attracted a lot of attention because of their wide applications. In computer-human interaction, face recognition, video surveillance, security system and so many application use automatic face detection. This paper is about a study of detecting human faces within images and segmenting the face into numbered regions which are the face-, mouth-, eyes- and nose regions respectively. For face detection we have used the Viola2013;Jones object detection framework. Sometime the VJOD make a false frame of object detection. Here trying to detect the problem of identification and improve the detection quality by changing the threshold value. It detect the frontal face of human which is 2D. From detected face image we separate the extracted part of face in a single image and Segment nose, eyes, lip and hole face portion by Discontinuous based Image Segmentation. The development and experiments demonstration of this research is done on MATLAB 2013. The learning behavior of the algorithm was tested on different face of human

Association between socio-economic status and health of older adults in rural Bangladesh and India: a comparative cross-sectional study

Inequalities in health are noticeable among older people in many developing countries, driven by poor social protection systems and low socio-economic status (SES). The present study attempts to examine the effects of SES on health of older adults, and related gender differences, in rural Bangladesh and India using standardized data collection instruments. The study uses the INDEPTH-WHO SAGE Matlab, Bangladesh and Pune District, India datasets. Quintiles of wealth and educational attainment are used as the indicators of socio-economic status, while self-rated health, quality of life, health state, and disability level are used as health indicators. In multiple regression models, both SES indicators are significantly associated with each health status indicator in older adults in Bangladesh, whereas, in India, they are found to be not consistently associated with the four health indicators. Highest level of education is a better predictor of the four health indicators than wealth among older adults in both countries. The findings have profound implications with regard to designing health intervention programmes for older adult populations in both countries