Torrefaction on Rice Husk, Paddy Straw and Coconut Shell To Improve Its Properties For Enhancing Gasification Efficiency

Shortage of fossil fuels has forcing people to find out alternatives to fulfill their needs especially in transportation, industrial sector, and residential sector. Many types of alternatives energy have been developed where hydrogen energy is part from that. Furthemore, the demand of producing this energy had arised especially during the oil crisis. One of the ways to produce hydrogen is through gasification process. However, this process always has problems which reducing its efficient. Problem like condensable tar formation and ash formation should be solved in order to make sure the amount of gas produced is significant then can meet the customer’s demand. Gasification process used biomass as its feed. Hence, the large number of biomass in Malaysia like rice husk, coconut shell and rice straw which can be found mostly at northern and east-coat states (Kedah, Perlis and Kelantan) have high potential to be developed to be used as gasification feed. However, the nature features of these biomasses like having high moisture content and moderate calorific value would contribute to another problem in gasifier like tar formation later. Moreover, highly cost may be needed to extract potential values of energy rice husks if no earlier treatement be done on it. Due to that, author has interested to do research on this process which entitled as “Torrefaction on rice husk, paddy straw, and coconut shell to improve its properties for enhancing gasification efficiency”.The purpose to enhance the efficiency is to increase the production rate of hydrogen from biomass gasification process. This project aims to develop torrefied biomass that has desired properties like lower moisture content and higher calorific value. Two parameters are being observed in the experiment which is particular sizes and torrefaction temperature. The reaction time will be constant at 1 hour and 30 minutes. Two particular sizes are studied which are 250μm and 500μm. At the same time, two different torrefaction temperatures are studied which are 240 and 280 degree Celcius. In general, the experiment results prove that the properties of samples (biomass) can be improved where has lower moisture content and also have higher calorific value. Higher torrefaction temperature (280 degree Celcius) makes more moisture being released to the air as well as gaining higher calorific value. Smaller particular size (250 μm) also contributes to higher evaporation rate of moisture content compared to samples at size 500 μm

Factors Associated with EHR User Satisfaction in Small Clinic Settings

The research on electronic health record (EHR) user satisfaction has been mainly studied in a complex work environment such as hospitals. Little is known about the EHR user satisfaction in small clinic settings. In this study, we investigate factors associated with EHR user satisfaction is small clinic settings. We use the absorptive capacity lens at an end-user level to understand how small clinics can effectively implement EHR systems and improve user satisfaction. We identify three important factors that are critical for EHR user satisfaction in small clinics – (i) Managerial IT knowledge as manifested in clinical management support, (ii) technological training (informal and formal) as indicated by EHR training, and (iii) IT infrastructure capability operationalized as EHR quality. We propose a research model and associated hypotheses for our research and present current status of our research project

Effective Implementation of Electronic Medical Record Systems: Insights from a Longitudinal Case Study

Academic and practitioner literature are abound with both successful and failed implementations of Electronic Medical Record (EMR) systems. Deployment of EMR systems is often accompanied by economic, technical, organizational and cultural challenges. Drawing upon the literature on organizational change, we argue that change readiness capacity in a health organization facilitates in mitigating the challenges arising in effective implementation of EMR. We report preliminary observations from our on-going research study based on a longitudinal case investigation of EMR implementation at NorthShore University Health System. We propose a preliminary model of change readiness, along with evidence from our case analysis

Development of a Change Readiness Scale for Electronic Medical Record Systems Implementation at Hospitals

Medical errors are not only caused by individuals but are also associated with faulty systems and processes. Broad implementation of Electronic Medical Record (EMR) systems may reduce the errors. However, the failure rate of EMR implementations is still high. Therefore, understanding how to achieve a successful implementation is important. This paper looks at the human factor in EMR implementation at hospitals. It is argued that ensuring the clinical users’ readiness for change is crucial for a successful EMR implementation. For this reason, a scale of three dimensions – Information Technology Savviness, Organizational Support, and Perceived Benefit – is proposed to measure clinical users’ change readiness capacity. The processes of developing, testing and administering the scale are explained, as well as the related validity and reliability studies. The simulated score can be used to show the dimension(s) of change readiness capacity in which a user needs improvement in order to reach a successful EMR implementation

Effect of Deformation to the Performance of Aluminium Sacrificial Anode

This report basically will discuss research that being done and basic understanding of chosen topic which is “Effect of Deformation to the Performance of Aluminium Sacrificial Anode”. The objective of the project is to study and analyze the performance of aluminium anode in laboratory scale after undergo different kind of deformations

Breakdowns Behaviour Of Gas-Filled Cylindrically Shaped Capacitor

This project is about optimizing the shape of the gas-filled cylindricalshaped ionization gas sensor in order improve its performance

Mobile Hazard Inspection Robot

This project aims to create a cheap, working prototype of a mobile, autonomous robot capable of patrolling and inspecting hazardous high-risk places for any fires. In this study, research and experimental work were carried out to see if the Wiimote would make an excellent device for fire detection for use in routine maintenance checks, apart from design of mobile robot that uses affordable materials and also the robot’s patrolling capability

The role of first language transfer in the acquisition of definiteness in specific and generic contexts by Saudi-Arabic learners of English

Studies on the acquisition of definiteness in English by Arabic learners have largely focused on the errors made using articles. The present study investigates the accuracy of Saudi-Arabic learners with regard to the different features associated with definiteness: specificity and genericity. Arabic, like English, contains a definite article and an indefinite article; however, article usage differs between the languages in that Saudi-Arabic tends to drop the indefinite article as it is not obligatory, as it is in English. The purpose of this study is therefore to examine the accuracy with which learners employ specificity and genericity and the effect of the first language on learners’ accuracy. The thesis examines the effects of proficiency level and vocabulary level (receptive and productive). Two experimental studies were carried out, the first focusing on specificity by testing the Bottleneck Hypothesis (Slabakova, 2008) and the Fluctuation Hypothesis (Ionin et al., 2004). The former posits that learners are able to map features between L1 and L2 and that similarities and differences between languages affects acquisition. The latter hypothesis relates to definiteness and specificity, postulating that learners fluctuate between article settings until they acquire the Article Choice Parameter in English. The second experiment focused on genericity with singular and plural contexts, testing the Bottleneck Hypothesis (Slabakova, 2008) and the Representational Deficit Hypothesis (Hawkins & Chan, 1997), which argues that learners cannot acquire a new uninterpretable feature if it is already set in their L1. These experiments demonstrated that the accuracy of Saudi-Arabic learners of English varies according to definiteness features, as the participants performed more accurately with specificity than with genericity. First language transfer affected uses involving genericity more than those involving specificity. The other factors – proficiency level and receptive and productive vocabulary knowledge – affected the learners’ accuracy with respect to both specificity and genericity

Efektivitas Pembelajaran Daring Wawasan Kebangsaan

[EFFECTIVENESS OF NATIONAL INSIGHTS ONLINE LEARNING]. This study aims to determine the effectiveness of national insight online learning in Basic Training for Civil Servant Candidate Group II 2020 at Apparatus Training Center of Ministry of Maritime Affairs and Fisheries. This study was a quasi experimental research with a quantitative approach. The data was collected using an assignment sheet, questionnaire, and interview. The learning effectiveness indicator was all participants get a minimum post test score of 80 and at least 80%. The research sample was all participants of Basic Training for Civil Servants Group II 2020 with the total number of 16 people. The result shows that the pre-test mean score is 84.5 and the post-test mean score is 97.5, indicating an increase of 15.4%. Based on the questionnaire result, it is found that the online learning method of Public Ethics is effective in achieving the learning objectives. National insight online learning of Basic Training for Civil Servants Candidates with all its strengths and weaknesses is considered effective in achieving learning objective, therefore, it can be continued in both new normal and normal conditio

eGR-490 Importance of Food Recognition on Blood Glucose Monitoring

Maintaining blood sugar under control requires eating a healthy and balanced diet, exercising, and adhering to medications. Dietary consumption must be under strict control for diabetic patients’ general health. Traditional techniques for monitoring dietary consumption include recollection and manual record-keeping, which can be tedious and prone to mistakes. However, automated technologies for maintaining records that make use of computer vision, such as food image recognition systems, can streamline chronic health management for diabetics. These solutions seek to efficiently track daily food intake and consequential calories to facilitate and encourage lifestyle improvements. With this goal in mind, we design a Machine Learning model that can recognize/classify food categories and estimate the corresponding volume and calorific content from picture(s) of an upcoming meal, which would help users assess the effect of the intake on their blood sugar levels