Examining the Impact of an English in Action Training Program on Secondary-School English Teachers’ Classroom Practice in Bangladesh

English teachers in Bangladesh have undergone numerous training programs. Both government-initiated and donor-sponsored training programs have been in operation in Bangladesh. Government initiated institutions to train teachers are Primary Training Institutes (PTIs) and Teacher Training Colleges (TTCs). However, researchers seemed to label training provided by PTIs and TTCs as inadequate. Bridging the gaps intrigued government of Bangladesh to devise donor-aided training programs, including English Language Teaching Improvement Project (ELTIP), English for Teaching, Teaching for English (ETTE), Secondary Education Quality and Access Enhancement Project (SEQAEP), Teaching Quality Improvement in Secondary Education Project (TQI-SEP). Studies reported their potential failure to bring changes in English teachers’ classroom practices. English in Action (EIA) was the last donor-funded project that incorporated school-based training program. The aim of the study was to examine the impact of EIA training program on secondary-school English teachers’ classroom practice in Bangladesh, drawing the questions in relation to the elements learned in the training program and the elements practiced in the training program. The present study undertook the Integrated Approaches to Teacher Development suggested by Hargreaves and Fullan (1992) and Reflective Model developed by Wallace (1991). This study adopted phenomenological approach since it subsumed the experience of an activity or concept from the participants’ perspective. Eight Participants were selected who had been trained from EIA training program and who had experience of participating in other donor-aided program, in the spirit of yielding the uniqueness of EIA which informed the sustainability of this program. It had been divulged that teachers learned a lot of activities that were related to English language teaching. However, the present studies observed limited practice of such activities in the classroom

Role of Civil Society Organizations in Conflict Resolution and Peacebuilding in Ghana

Ghana is both locally and internationally described as an oasis of peace and stability on a continent circumvented by conflicts. The country has not experienced any form of large-scale violence or civil war since independence in March 1957. Nevertheless, it is faced with pockets of relative violence, including chieftaincy conflict and land dispute, killing several people and destroying many properties. In an effort to help resolve these conflicts, the Ghanaian government ends up prolonging it due to its position in some of the conflicts. However, the review of secondary data revealed that many of the conflicts in Ghana have often needed the intervention of civil society organizations to end them, or to bring relative peace since warring parties often, do not see the government as neutral. The author recommends that government should create the enabling environment for the civil society organizations to operate smoothly in their quest to resolve conflicts and to promote peace without the civil society organizations compromising their neutrality and objectivity

Healthcare System through Wireless Body Area Networks (WBAN) using Telosb Motes

Due to the increased demand for an effective communication technology in the health care sector, a wireless network is needed that effectively monitors the patient’s vital sign and send reports concurrently to the remote system. This increases the comfort level of monitoring the patients continuously. The main idea of this article work is to build up a WBAN that endlessly monitors human healthiness parameters and reports information to the nearby PC/sinks. The small wearable devices which is memory efficient, energy efficient, less computational complexity are deployed on the patient to be monitored. They self-configure to endlessly monitor critical signs such as heart beat, core temperature etc. The energy efficiency and transmission delay is analyzed by using Cooja simulator. Finally the design is implemented in the Telosb wireless sensor motes

Information and Communication Technology Applications and use in Medical Records and Information Management in Selected Hospitals in Ijebu Ode Local Government Area, Ogun State.

This study investigated the information and communication technology application and use in medical records and information management in selected hospitals in Ijebu-Ode Local Government Area of Ogun State. The Objectives of the study found out the level of application and compliance of ICT and also investigated the challenges facing the application. The survey research design was adopted while total enumeration sampling technique was used in the selection of samples. Questionnaire was used to gather data for this study while mean and standard deviation frequency counts and percentages was used in data analysis. Findings shows that the information and communication tools applicable in the selected hospitals are computers (100%), softwares such as Microsoft word, excel etc (100%), surgical ICT tools (100%), internet (90%), management software (90%), infection detecting technologies (90%), Health Information system programme (HISP) (90%), ultrasound imaging device (80%), telemedicine (76%), national health care management information system (NHC/MIS) (75%) and scanner (60%). The challenges facing the use of ICT tools in medical records and information management in the hospitals are inadequate training, insufficient knowledge on use of IT tools, failure of equipment/old IT tools, security/privacy issues, inadequate ICT facilities, lack of physical access to the tools and affordability. The research therefore recommended among others that there should be more training, awareness, exposure or workshops for staff in the hospital on the application and use of ICT tools which are seldom or never used in the hospitals to improve the health care services rendered in the hospitals

The Use Malays-Sambas Expressions in Developing Character Education in Sambas Primary Madrasah in Millennial Era

The Malays-Sambas expression is believed to have contributed to the Islamic basic education through an emphasis on a culture of shame expression that reflects the honor, reputation, and self-esteem of foreign cultures. The purpose of this study was to analyze the expression of Malay Sambas in improving the character education of Islamic primary students. The naturalistic phenomenological method was used to analyze the data of 6 students, 3 principals, and classroom teachers through in-depth interview sessions. The voices of participants with homogeneous characteristics of the Sambas Malay ethnicity were recorded and analyzed looking at the characteristics and implications, among others: 1) Exploration of the Sambas Malay; Suppan said, "a small wrong hand is set up" means respect, openness, gentle words, and the expression of the language of "tullah"(damned) to teach children, should not conflict with parents, teachers or parents. 2) The contribution of the Malay-Sambas language has significant character education value. Therefore, these findings contributed to schools in creating a model of local wisdom curriculum that aims to explore the richness of local values integrated into formulating the lives of a good millennial generation, so that they can maintain their values ​​while respecting globalization dominance

The Falling Dollar and Its Impact on the Saudi Economy

As foreign exchange studies show, after a fairly strong performance in 2014, the US Dollar (USD) plunged in 2015 in relation to the Euro, British Pound, Japanese Yen, and other global currencies (US Forex 2015). While the trend on US currency fall similarly happened in the past, the weak global confidence now on the US economy has cast serious apprehension on the prospect for any renewed global economic stability. Whenever the USD, as central world currency, declines or appreciates significantly in value, the change impacts the economies of most nations around the world (Amadeo 2015).  One of the countries that stand most vulnerable to any serious and unwanted dysfunction of the USD is Saudi Arabia, which, as a matter of key economic policy, has fixed its currency exchange to Saudi Arabia Riyals (SAR) 3.75 to USD 1.00 since 1986 (Al-Hamidy 2013).  This paper aims at Highlighting the risks of devaluation of the dollar on the Saudi economy There are seven sections in the paper after the introduction. In sections two The changing price of gold and oil in term of USD…; section three The Impacts of fixed exchange rate on the Saudi Economy …;The rationale and implication for the fixed rate,  Policy measures to overcome the risk caused by the depreciation of USD…Possible Policy Options in the Short…, and in the last section Concluding Remarks…

TAG ME: An Accurate Name Tagging System for Web Facial Images using Search-Based Face Annotation

Now a day the demand of social media is increases rapidly and most of the part of social media is made up of multimedia content cognate as images, audio, video. Hence for taking this as a motivation we have proffer a framework for Name tagging or labeling For Web Facial Images, which are easily obtainable on the internet. TAG ME system does that name tagging by utilizing search-based face annotation (SBFA). Here we are going to select an image from a database which are weakly labeled on the internet and the "TAG ME" assign a correct and accurate names or tags to that facial image, for doing this a few challenges have to be faced the One exigent difficulty for search-based face annotation strategy is how to effectually conduct annotation by utilizing the list of nearly all identical face images and its labels which is weak that are habitually rowdy and deficient. In TAGME we have resolve this problem by utilizing an effectual semi supervised label refinement (SSLR) method for purify the labels of web and nonweb facial images with the help of machine learning techniques. Secondly we used convex optimization techniques to resolve learning problem and used effectual optimization algorithms to resolve the learning task which is based on the large scale integration productively. For additionally quicken the given system, finally TAGME system proposed clustering-based approximation algorithm which boost the scalability considerably

Predictive Technique Of Security Data Breaches In Ai Powered Mobile Cloud Application Using Deep Random Forest Algorithm

With the rapid integration of artificial intelligence (AI) in mobile cloud applications, ensuring robust security mechanisms is vital to safeguard sensitive user data. The proliferation of AI technologies in mobile cloud applications has brought unprecedented efficiency and convenience, accompanied by an escalating risk of security breaches. As the threat landscape evolves, traditional security measures fall short in providing comprehensive protection. This research recognizes the critical need for a predictive approach to security data breaches in AI-powered mobile cloud applications. Existing security frameworks often lack the adaptability to detect and pre-emptively address emerging threats specific to AI-enhanced mobile cloud environments. This study employs the Deep Random Forest Algorithm, an advanced machine learning technique known for its ability to handle complex and dynamic datasets. The algorithm combines the power of deep learning with the versatility of random forest classifiers to predict security breaches in real-time. The results demonstrate the efficacy of the proposed Deep Random Forest Algorithm in predicting and mitigating security breaches in AI-powered mobile cloud applications. The model exhibits high accuracy and sensitivity, showcasing its potential to enhance the security posture of mobile cloud ecosystems