The Banking sector in Bangladesh is one of the fast growing sectors and considered as an integral part of the economy. Hence, monitoring, supervision and continuous performance evaluation of the banking sector is compulsory to ensure the financial stability of the economy since the banking sector is becoming more complex than before. The present study is an attempt to evaluate and compare the performance of the banking sector in Bangladesh. One of the most effective supervisory techniques, CAMELS rating system (basically a quantitative technique) has been used to rank the banks based on their performances. In this study, seventeen conventional private commercial banks have been chosen as samples to meet the purpose of the study. Data for analysis has been collected from the banks’ annual reports for the period (2010-2016). The result from this comparative analysis shows that Eastern Bank has stood at the top position among all the selected banks based on CAMEL rating system. However, the findings from this paper will definitely help the researchers and analysts to understand financial statement analysis in a depth manner and also provide a uniform basis for identifying those institutions requiring special supervisory attention.
Massive data handling requirement in education industry 4.0 has attracted interests in the research of microservice architectures due to their scalability, resilience and elasticity characteristics. This development has been challenged by extensive data exchange required by a set of independent microservices to build a complete application, which could result in increasing risks and exposure to the security and privacy breaches of the data. It is imperative to see that educational data are highly sensitive, critical for ascertaining educational attainment and facilitating credentials for qualifcation verifcations. This paper puts forward a new proposal of devising a security and privacy-preserving design mechanism of data transactions in educational microservices leveraging the blockchain technology. The design comprises three phases, namely the blockchain framework, data sending-receiving and confdentialityintegrity-availability over a secured platform with each phase having detailed mechanisms for algorithm implementation. The proposal is shown to exhibit favourable performance in terms of time cost of publishing, throughput and latency, and shown to have high survey acceptance in terms of confdentiality, integrity and availability with approximately 10% improvement from prior blockchain adoption.
Maize is a widely grown cereal after rice and wheat and contributes almost 5% to the global dietary supply. In the Eastern Gangetic Plains (EGP) including India, Bangladesh, and Nepal, maize is an emerging cash crop, because of its high yield potentiality and also the favorable climatic conditions which allow maize production round the year. In Bangladesh, area and production of maize are escalating due to the increasing demand for poultry, livestock, and fish feed, and fodder for animals and starch industries in the region. Presently, more than 90% of maize is planted by manual dibbling following 5-6 intensive tillage, which increases the cost of cultivation. The conservation agricultural (CA)-based new agricultural practices could overcome those above challenges. CA is cost-effective and environmentally friendly; however, weeds are one of the key challenges in the system. The chapter described the uses of herbicides in different ways of combinations to make effective weed control in CA-based maize to achieve potential production and profits by reducing the intensive pressure of manual weeding. The efficient and right use of pre-plant/sowing, pre-and post-emergence herbicides and their combination may be the best way for effective control of weeds in maize production.
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