AI-Driven Diagnostic Tools: A Survey of Adoption and Outcomes in Global Healthcare Practices

The roles of artificial intelligence in health care, especially in diagnosis, are evident as they function as a multiplier in diagnosing patients. This research explored how healthcare organizations incorporate decision support tools based on artificial intelligence technology, the problems healthcare professionals encounter during the integration process, and the results obtained from applying artificial intelligence technology at the system level. It therefore sought to identify the differences in the identified factors across regions and types of facilities. A quantitative survey with questions in a closed format was used; the participants were 260 healthcare professionals from different hospitals and clinics, doctors, healthcare managers and IT specialists. The findings showed that the more resources and specialist human labor are accessible, the more public and private hospitals have embraced AI. Compared to the smaller clinics, research institutions expressed considerable difficulties, especially in costs and training opportunities. Hence, the map reveals that North America and Europe have a higher overall rate of Broadband absorption than Africa and South America, where financial and infrastructural constraints are even higher. This study reveals that, though the application of AI in diagnosing amplified the diagnosis rate and benefitted distinct treatment plans, there are barriers, including prohibitive costs, regulation norms, and the requirement of training. The research showed that the greater the level of AI implementation, the higher the satisfaction among the healthcare organization staff; therefore, the approach should be adjusted depending on the healthcare facility setting.  The study's findings suggest that approaches must be adjusted depending on the region and type of facility in mind. It also emphasizes the need to spend sums on training and investing in structures so that the global advantages of integrating Artificial Intelligence into diagnostic tools can be achieved, especially in developing countries. Future studies should identify ways of making AI more affordable in the health sector and conduct more extended research on the efficiency of AI in healthcare

Religious Understanding of Nature and Influence of Geographical Environment on Shaping Religious Beliefs and Practices within Christianity and Islam

The present paper connects nature with religious understanding in regard to Christianity and Islam. Many studies show that religious beliefs and practices were shaped and reshaped, to many points, being influenced by a specific geographical environment. So, the paper aims to focus how nature serves continuously in generating human thought, feeling and experience especially with respect to religions. By correlating some verses of the Bible and the Quran alongside some interpretations by religious scholars, the paper attempts to explore why religious understanding of nature seems significant for preventing the natural environment from further degradation caused by uncontrolled human activities in nature. In so doing, it will be an effort to enrich the current discussions relating to religions and natural environment

A quantitative method for measuring and visualizing species\u27 relatedness in a two-dimensional Euclidean space.

Representing DNA sequences graphically and evaluating, as well as displaying, species’ relationships have been considered to be an important aspect of molecular biology research. A novel approach is proposed in this thesis that combines three methods: a) Chaos Game Representation (CGR), to portray quantitative characteristics of a DNA sequence as a black-and -white image, b) Structural Similarity (SSIM) index, an image comparison method, to compute pair-wise distances between these images, and c) Multidimensional Scaling (MDS), to visually display each sequence as a point in a two-dimensional Euclidean space. The proposed method produces a visual representation called Genome Distance Map (GDM) when applied to a collection of genomic DNA sequences. In a resulting Genome Distance Map, the sequences can be visualized as points in a common two-dimensional Euclidean space, wherein the geometric distance between any two points is approximate to the differences between their respective DNA sequence compositions. In addition, the proposed Genome Distance Map provides a compelling visualization of species’ relatedness in comparison to the phylogenetic trees. Moreover, the proposed method is sensitive and robust in detecting insertions, deletions, substitutions of nucleotides in a genome

Evaluation of John B. Cobb, Jr.’s Ecological Model, With the Focus on Its Workability in the Context of Bangladesh

The “ecological model” of John B. Cobb, Jr. seems a timely and needed approach to address our present ecological crisis. Keeping Cobb’s “ecological model” of life and development in hand, the present paper attempts to examine why this model seems significant especially for Bangladeshi people and how it can be applied in Bangladesh to reduce the environmental issues. In terms of methodology, it follows the methods of literature review and interpretive analysis. The required data is collected by primarily reviewing Cobb’s eco-theological works and then is used in the paper after analysis. Similarly, it investigates the applicability of his proposed ecological model in the context of Bangladesh and critically analyses the model by comparing socio-religious, political, and economic perspectives of Bangladesh. The study evaluates to what extent Cobb’s suggestion may be implemented and to what degree it should be modified, proved to be inconsistent or rejected. As the project connects Cobb’s eco-theological understanding with the present environmental problems of Bangladesh, its prime result will be motivating Bangladeshi people from grassroots levels to maintain ecological equilibrium by diverting their attention from the mechanistical and materialistic view to an organic view of the environment. Alongside these, the study will enrich the current discussions on the role of religions in environmental sustainability from a Bangladeshi perspective

Religious Understanding of Nature and Influence of Geographical Environment on Shaping Religious Beliefs and Practices within Christianity and Islam

The present paper connects nature with religious understanding in regard to Christianity and Islam. Many studies show that religious beliefs and practices were shaped and reshaped, to many points, being influenced by a specific geographical environment. So, the paper aims to focus how nature serves continuously in generating human thought, feeling and experience especially with respect to religions. By correlating some verses of the Bible and the Quran alongside some interpretations by religious scholars, the paper attempts to explore why religious understanding of nature seems significant for preventing the natural environment from further degradation caused by uncontrolled human activities in nature. In so doing, it will be an effort to enrich the current discussions relating to religions and natural environment

HActivityNet: A Deep Convolutional Neural Network for Human Activity Recognition

Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount of data and powerful computational resources, it is very difficult to recognize human activities from an image. In order to solve the computational cost and vanishing gradient problem, in this work, we have proposed a revised simple convolutional neural network (CNN) model named Human Activity Recognition Network (HActivityNet) that is automatically extract and learn features and recognize activities in a rapid, precise and consistent manner. To solve the problem of imbalanced positive and negative data, we have created two datasets, one is HARDataset1 dataset which is created by extracted image frames from KTH dataset, and another one is HARDataset2 dataset prepared from activity video frames performed by us. The comprehensive experiment shows that our model performs better with respect to the present state of the art models. The proposed model attains an accuracy of 99.5% on HARDatase1 and almost 100% on HARDataset2 dataset. The proposed model also performed well on real data

Perspectives on the Islamic Welfare State: The Goals of Economic Development Justice

The concept of The Welfare State, as developed in many Western countries, has proved to be an excellent program for earmarking economic resources for programs concerned with the welfare of the common people. Notwithstanding this successful developmental process however, the practical function of a Welfare State created in this way can allow the parallel functioning of actions that are not necessarily in the best interests of the general public. This article explores the nature of an alternative arrangement, that we term The Islamic Welfare State, which is built upon a range of spiritually consistent concepts to realize its developmental and social welfare goals. In this regard, following the arguments and descriptions available in the literature, our review indicates that the Western and Islamic Welfare States are largely not compatible. Whereas the Western model focuses mainly upon economic issues, the Islamic Welfare State seeks to more efficiently deal with society’s scarce resources, and ensure natural justice by focusing on the individual, showing particular concern for their material, moral and spiritual enhancement. We note that, although the concept of an Islamic Welfare State has not been thoroughly tested in practice, the underpinning concepts and philosophy can nevertheless be used to formulate current Government policies to improve society's welfare responsibilities. It is important to recognise that the Islamic Welfare State has a clear and worthy goal, namely the fulfillment and maintenance of sharia objectives (maqâsid sharia) until finally, Falah is created as a parameter of their successful development

Scenario analysis for programmatic tuberculosis control in Bangladesh: a mathematical modelling study

Tuberculosis (TB) is a major public health problem in Bangladesh. Although the National TB control program of Bangladesh is implementing a comprehensive expansion of TB control strategies, logistical challenges exist, and there is significant uncertainty concerning the disease burden. Mathematical modelling of TB is considered one of the most effective ways to understand the dynamics of infection transmission and allows quantification of parameters in different settings, including Bangladesh. In this study, we present a two-strain mathematical modelling framework to explore the dynamics of drug-susceptible (DS) and multidrug-resistant (MDR) TB in Bangladesh. We calibrated the model using DS and MDR-TB annual incidence data from Bangladesh from years 2001 to 2015. Further, we performed a sensitivity analysis of the model parameters and found that the contact rate of both strains had the largest influence on the basic reproduction numbers [Formula: see text] and [Formula: see text] of DS and MDR-TB, respectively. Increasingly powerful intervention strategies were developed, with realistic impact and coverage determined with the help of local staff. We simulated for the period from 2020 to 2035. Here, we projected the DS and MDR-TB burden (as measured by the number of incident cases and mortality) under a range of intervention scenarios to determine which of these scenario is the most effective at reducing burden. Of the single-intervention strategies, enhanced case detection is the most effective and prompt in reducing DS and MDR-TB incidence and mortality in Bangladesh and that with GeneXpert testing was also highly effective in decreasing the burden of MDR-TB. Our findings also suggest combining additional interventions simultaneously leads to greater effectiveness, particularly for MDR-TB, which we estimate requires a modest investment to substantially reduce, whereas DS-TB requires a strong sustained investment

A study on the general banking activities of Prime Bank Limited, Gulshan Branch

This internship report is submitted in a partial fulfillment of the requirements for the degree of Master of Business Administration, 2016.Cataloged from PDF version of Internship report.Includes bibliographical references (page 33).After studying numerous theoretical concepts during the various coursework’s of my MBA program at Majoring in Finance, BRAC University, Understanding the practical implications and applications is the next step in the learning process. The MBA internship program provides an opportunity for such steps. In due course of completing my internship project and compiling this report I came to learn about the General Banking and the performance of the Prime Bank Ltd. This report is based on practical working experience at The Prime Bank Limited as a part of internship program. The Prime Bank Limited, the first generation bank in Bangladesh came into being in 1995. Established with the objective of bringing about a qualitative change in sphere of banking and financial management, the bank today serves its customers usefully and collecting funds from the surplus units of the economy in the form of deposit and mobilize deposit to the deficit units of the economy in the form of credit. The noble intention behind starting this Bank was to bring about qualitative changes in the sphere of Banking and financial management. Today The Prime Bank Limited serves its customers at home and abroad with 122 branches spread over the country and about three hundred oversea correspondences.Abu Sadat Md. Sayem BhuyainM. Business Administratio