Teaching English to Young Learners in Rural and Urban Areas of Bangladesh

Since the education system in Bangladesh is changing for last couple of years, we see the reflection of this change in primary education also. Government, ministry of education and concerned authorities are trying to bring changes in curriculum, materials, activities, techniques of teaching, quality of teachers etc. This change is essential in English language teaching since it is taught as a second language in Bangladesh. Therefore, in this research paper, the researcher focused on English language teaching of young learners in primary schools of rural and urban areas of Bangladesh. This study addresses two central research objectives: examining the condition of English language teaching in rural and urban areas of Bangladesh, and noticing factors which are creating gap between rural and urban young learners of Bangladesh. He uses questionnaire and informal interview for data collection. Data has been analyzed through qualitative and quantitative research studies. The respondents from both rural and urban areas expressed dissatisfaction over shortage of teachers and work load. Both teachers say that young learners like English as a subject. He found that government and different stake holders have already taken some initiatives to minimize the gap in English language teaching

知的絵画データベースのためのイメージキーワードに関する研究

博士(工学)大阪市立大

PRIIME: A generic framework for interactive personalized interesting pattern discovery

The traditional frequent pattern mining algorithms generate an exponentially large number of patterns of which a substantial proportion are not much significant for many data analysis endeavors. Discovery of a small number of personalized interesting patterns from the large output set according to a particular user's interest is an important as well as challenging task. Existing works on pattern summarization do not solve this problem from the personalization viewpoint. In this work, we propose an interactive pattern discovery framework named PRIIME which identifies a set of interesting patterns for a specific user without requiring any prior input on the interestingness measure of patterns from the user. The proposed framework is generic to support discovery of the interesting set, sequence and graph type patterns. We develop a softmax classification based iterative learning algorithm that uses a limited number of interactive feedback from the user to learn her interestingness profile, and use this profile for pattern recommendation. To handle sequence and graph type patterns PRIIME adopts a neural net (NN) based unsupervised feature construction approach. We also develop a strategy that combines exploration and exploitation to select patterns for feedback. We show experimental results on several real-life datasets to validate the performance of the proposed method. We also compare with the existing methods of interactive pattern discovery to show that our method is substantially superior in performance. To portray the applicability of the framework, we present a case study from the real-estate domain

A multi-sensor based fire fighting robot with wireless control and visual system

Firefighting bot is a kind of robot by which we can detect the fire and extinguish it at the same time. In our project, we built a kind of robot that can automatically detect the location of the fire and can reach closer to the affected point and extinguish it as soon as possible. The extra advantage of our project is we built the robot both in autonomous and remote control mode. The remote control part is pretty much different from the other project because we used an android application to control the robot from the outside through the WIFI. The application is not directly connected with the robot. The robot and the application are both connected to the same server so that the application can give the command from anywhere from the word and the robot will get that command from the server through the WIFI system

Congenital Long QT Syndrome: An Update and Present Perspective in Saudi Arabia

Primary cardiac arrhythmias are often caused by defects, predominantly in the genes responsible for generation of cardiac electrical potential, i.e., cardiac rhythm generation. Due to the variability in underlying genetic defects, type, and location of the mutations and putative modifiers, clinical phenotypes could be moderate to severe, even absent in many individuals. Clinical presentation and severity could be quite variable, syncope, or sudden cardiac death could also be the first and the only manifestation in a patient who had previously no symptoms at all. Despite usual familial occurrence of such cardiac arrhythmias, disease causal genetic defects could also be de novo in significant number of patients. Long QT syndrome (LQTS) is the most eloquently investigated primary cardiac rhythm disorder. A genetic defect can be identified in ∼70% of definitive LQTS patients, followed by Catecholaminergic Polymorphic Ventricular Tachycardia (CPVT) and Brugada syndrome (BrS), where a genetic defect is found in <40% cases. In addition to these widely investigated hereditary arrhythmia syndromes, there remain many other relatively less common arrhythmia syndromes, where researchers also have unraveled the genetic etiology, e.g., short QT syndrome (SQTS), sick sinus syndrome (SSS), cardiac conduction defect (CCD), idiopathic ventricular fibrillation (IVF), early repolarization syndrome (ERS). There exist also various other ill-defined primary cardiac rhythm disorders with strong genetic and familial predisposition. In the present review we will focus on the genetic basis of LQTS and its clinical management. We will also discuss the presently available genetic insight in this context from Saudi Arabia

TTRank: A Temporal Model to Rank Online Twitter Users

Twitter is an online social network or a news media where users can post their desirable topical interests in the form tweets. This is a networking model where each user can choose who can follow her and whom she wants to follow. We can find the users who are very active in the social networks and consider them as influential users. This research addresses on Temporal Twitter Ranking (TTRank) to rank the influential users in Twitter. We apply Twitter-LDA topic modeling method to find the users’ topical interests. The time interval is an important factor as users’ topical interest can change over time i.e. users’ have different degree of topical interests at different timeinterval. So we give more emphasize on users’ most recent tweets. Our proposed approach also considers the impact of “Follower Influence” and “Retweet Influence”. The top influential users have been detected across different time intervals based on all the above mentioned factors and classified as “Highly Influential” and “Potential’ users. Experiment results on a real Twitter dataset demonstrate the efficacy of the proposed system

Mini craniotomy for chronic subdural haematoma: surgical outcome from a single institution experience and predictors of success

Background: Chronic subdural hematoma (CSDH) is an increasingly common neurological disease in daily neurosurgical practice. Despite the wide prevalence of CSDH, there remains a lack of consensus regarding numerous aspects of its surgical management. The diagnosis and treatment are well established but there are different surgical procedures and outcome related to these procedures are not completely understood.Methods: The study conducted was conducted in department of neurosurgery at Ibrahim cardiac hospital and research institute, Dhaka, Bangladesh between January 2019 to July 2020, 105 patients were treated for chronic subdural haematoma This study evaluated the clinical features, radiological findings and surgical outcome by mini craniotomy assessed by modified Rankin scale (mRS) score and Glasgow outcome scale (GOS) score in a large series of patients treated at single institution.Results: At 6 months follow up, only one patient died (0.95%) because of co-morbidities and not directly related to the chronic subdural haematoma, 15 patients (14.3%) improved to mRS 0, 33.33% showed only mild symptoms without any significant disability-mRS 1, slight disability was observed in 28.5% patients, moderate disability was observed in 17.14% patients-mRS 3, moderately severe disability was observed in 5.7%-mRS 4.Conclusions: GOS score at 6 months follow up which shows majority of the patient improved to GOS score 4 (45.71%) and 5 (38.09%). Based on these results, among various method of surgical management, mini craniotomy provides better outcome

IN-VIVO CHARACTERIZATION OF TOTAL PROTEIN, ALBUMIN CONTENT, LIPID PROFILE AND ENZYMATIC PROPERTY OF BALAJIRAKADI KVATHA CURNA (BLJ) IN ALBINO RAT PLASMA

The study was devised to evaluate the effect of total protein, albumin content, enzymatic property and lipid profile in rats plasma after chronic administration of Balajirakadi Kvatha Curna (BLJ), a classical Ayurvedic preparation that is widely used in cough. The drug was administered per oral route at a dose of 40 ml/kg of the body weight for 45 consecutive days. Eight-week old albino rats (Rattus novergicus : Sprague - Dawley strain,) of both sexes, bred and maintained at the Animal House of the Department of Pharmacy, Jahangirnagar University were used for the experiment. All experiments on rats were carried out in absolute compliance with the ethical guide for care and use of laboratory animals. After the administration of BLJ preparation for a period of 45 days, the following biochemical parameters (protein, albumin, triglyceride, cholesterol, LDL, VLDL, HDL, sGPT sGOT and ALP) in the plasma of both the male and female rats were determined. An increased level of Total protein, the Albumin content and triglyceride in the plasma found in the both male and female rats, none of these changes were significantly different from their corresponding control values but noticeable. On the contrary in both female and male rats the decreased level in the total Cholesterol, VLDL, LDL and HDL was noticed and among which Total Cholesterol and VLDL are significant. Surprisingly the LDL content was almost similar to the corresponding control value and decrease in HDL was not significant. A statistically very highly significant increase in the sGPT sGOT and ALP activities in the plasma of male rats was found while in the female rats it has been showed a statistically very highly significant decrease in sGPT and sGOT but ALP activities in the plasma was statistically insignificant

Design and Development of a Single-Axis Solar Tracking System

With solar tracking, it will become possible to generate more energy since the solar panel can maintain a perpendicular profile to the rays of the sun. Even though the initial cost of setting up the tracking system is considerably high, there are cheaper options that have been proposed over time. This research discuss the design and construction of a prototype for a solar tracking system that has a single axis of freedom. Light Dependent Resistors (LDRs) are used for sunlight detection. The control circuit is based on an ATMega328P microcontroller. It was programmed to detect sunlight via the LDRs before actuating the servo to position the solar panel. The solar panel is positioned where it is able to receive maximum light. As compared to other motors, the servo motors are able to maintain their torque at high speed. They are also more efficient with efficiencies in the range of 80-90%. Servos can supply roughly twice their rated torque for short periods. Through tracking, there will be increased exposure of the panel to the sun, making it have increased power output. The trackers can either be dual or single axis trackers. As a single tracking system is cheaper, less complex, and still achieves the required efficiency, so it was used