Observing Online News Portals Activities and Responsibilities During Covid-19

This study observes the significant roles and responsibilities of online news portals during this Covid-19 outbreak in Bangladesh The findings and result analysis of this study manifest the tasks along with the activities which online news portals pose specifically in a pandemic situation are on the satisfactory level Through the use of two theories and a quantitative approach this study attempted to distinguish how people think of these portals as a potential media in creating awareness People seem to prefer online news portals more than other media for getting covid-19 related news which lead them to believe and depend on what these portals offer actually On the other hand sometimes these online news portals also teem with some fear regarding moral panic misinformation and rumors even sometimes news with full of confusing repetitive with inadequate reporting languages Despite having all confusion respondents of this study think online news portals have played a responsible role to keep the mass people updated during the Covid-19 situation especially in that situation where the whole world was facing an emergency lock dow

Poetics of Water

Dhaka was built on the banks of the river Buriganga around 700 AD. Over the last 400 years, it has grown into one of the most densely populated cities in the world. Every year, Dhaka sees an influx of migrants, who move to the city in search of jobs and a better life. With this rapid growth in the population of the city, the urban fabric is also growing rapidly. Waterbodies are rapidly being filled up, canals are being fragmented, and economic disparities are becoming wider. The city started because of the presence of water; water allowed its growth, and water created an agriculturally rich ground for farming and the livelihoods of the people of the country. Dhaka has been isolated from water by planners and developers. Every monsoon season, Dhaka suffers from severe flooding. Since the devastating flood of 1988, the western part of Dhaka has been surrounded by an embankment system. This embankment now causes waterlogging: the pumps and sluices built along the embankment cannot extract enough trapped water during the rainy season. This thesis is an exploration of the relationship between the city and water. It attempts to reconnect land, water and people through urban, landscape, and architectural design. It proposes strategies for flood mitigation and water management in the city. Then, it proposes a design at a microscale that can act as a prototype for urban resilience and sustainable design. The aim of the design proposal at the end of this thesis is to suggest a means to connect the city and the people back to water

Development of Science Teaching Materials on Inquiry-Based Biotechnology Materials Using the Addie Model for Class IX Students of SMP Negeri 3 Taman

There are still many educators who use teaching materials from publishers without planning, preparing, and compiling them themselves. So that learning science in the field for students is not used to using their reasoning power, but instead they are used to memorizing which is fixated on source books. The teaching material development model used is inquiry-based with the ADDIE model. The data instruments used were validation sheets/questionnaires and written tests. The results of the data were analyzed qualitatively and quantitatively. The data used in the form of scores on validation sheets and questionnaires were analyzed and processed with percentages and then converted into achievement scales. The teaching materials developed were then validated by a content expert with a result of 96% in the very good/very feasible category. The validation results from the design expert were 89.2% in the very good/very feasible category. Then the teaching materials developed were tested individually with a result of 98.3% in the very good/very feasible category. Small group trials 85.8% in the very good/very feasible category, field trials with 91.3% very good/very feasible results. class IX student

Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders

Gait disorders are common in neurodegenerative diseases and distinguishing between seemingly similar kinematic patterns associated with different pathological entities is a challenge even for the experienced clinician. Ultimately, muscle activity underlies the generation of kinematic patterns. Therefore, one possible way to address this problem may be to differentiate gait disorders by analyzing intrinsic features of muscle activations patterns. Here, we examined whether it is possible to differentiate electromyography (EMG) gait patterns of healthy subjects and patients with different gait disorders using machine learning techniques. Nineteen healthy volunteers (9 male, 10 female, age 28.2 ± 6.2 years) and 18 patients with gait disorders (10 male, 8 female, age 66.2 ± 14.7 years) resulting from different neurological diseases walked down a hallway 10 times at a convenient pace while their muscle activity was recorded via surface EMG electrodes attached to 5 muscles of each leg (10 channels in total). Gait disorders were classified as predominantly hypokinetic (n = 12) or ataxic (n = 6) gait by two experienced raters based on video recordings. Three different classification methods (Convolutional Neural Network—CNN, Support Vector Machine—SVM, K-Nearest Neighbors—KNN) were used to automatically classify EMG patterns according to the underlying gait disorder and differentiate patients and healthy participants. Using a leave-one-out approach for training and evaluating the classifiers, the automatic classification of normal and abnormal EMG patterns during gait (2 classes: “healthy” and “patient”) was possible with a high degree of accuracy using CNN (accuracy 91.9%), but not SVM (accuracy 67.6%) or KNN (accuracy 48.7%). For classification of hypokinetic vs. ataxic vs. normal gait (3 classes) best results were again obtained for CNN (accuracy 83.8%) while SVM and KNN performed worse (accuracy SVM 51.4%, KNN 32.4%). These results suggest that machine learning methods are useful for distinguishing individuals with gait disorders from healthy controls and may help classification with respect to the underlying disorder even when classifiers are trained on comparably small cohorts. In our study, CNN achieved higher accuracy than SVM and KNN and may constitute a promising method for further investigation

Tre lärarperspektiv : En studie om olika arbetsmetoder i förberedelseklass och i ordinarie klass

The Swedish school reflects the society that we have today, a society with many different ethnical and cultural backgrounds. The purpose of this investigation is to study how the school is working with children that recently immigrated to Sweden. What kind of methods are they using at school, to get the best development as possible? Do the teachers manage to be concerned of the students in the school? What kind of reception do these children get in the school? What methods are the teachers using? And are these methods really the best to use to enhance the language and cognitive development of these students? The methods I have been using to examine these questions have been qualitative. I have interviewed three teachers about their everyday work in a multiethnic school south of Stockholm. To get as much information as possible I also completed these reports with a two week observation period in their classes. The theoretical attachment for this investigation has been theories related to children bilingualism and second language acquisition. Because the focus has been on the teachers’ perspective, I have also looked at research about how teachers should be working. The results of the investigation shows what kind of methods the teachers are using in preparation class and in the regular class, the teachers are using methods that is making the children language. They are making sure that every child is being seen for his or hers knowledge

Soft Magnetic Microrobots for Targeted Drug Delivery

Microrobots have a promising prospect to be used in healthcare and bioengineering applications due to their capability to gently access small and delicate body sites. Unfortunately, traditional materials used for the fabrication of microrobots are rigid, hindering safe operation due to the transfer of high stresses to the surrounding tissue. Additionally, traditional microrobots are often not biocompatible, which threatens the health of the patient if not properly retrieved. This dissertation describes the fabrication and actuation of small-scale (several micrometers in all dimensions) magnetic robots that are soft, biocompatible, and capable of moving over smooth and corrugated surface. Soft Magnetic Micro Robots (SMµRs) can carry payloads in their porous interior and release them using external magnetic inputs. SMµRs has therefore the potential to be used in a wide range of applications—including targeted drug release and remote biosensing and bio sampling—and access a number of difficult-to-reach sites in the human body, such as intestines or blood vessels. The structure of SMµRs consist of three thin layers: Two layers of polymer with embedded magnetic particles aligned along a preferential direction. One porous layer, in between the magnetic layers, where the SMµRs can accumulate and release payloads. SMµRs are small, light in weight, and fast and inexpensive to fabricate. Moreover, the manufacturing of SMµRs is compatible with large-scale production processes, facilitating their future commercial exploitation. Using external rotating magnetic fields, the position of the SMµRs can be controlled wirelessly via tumbling locomotion. We demonstrate two types of tumbling locomotion (length-wise and side-wise) as well as the possibility to release the internal payload of the SMµRs in a discrete or continuous manner using only changes in the intensity of the external magnetic field. We studied the performance of SMµRs under a variety of environmental conditions as well as their capability of overcoming obstacles

Special needs or needs of individualized adapted education : a qualitative study on teachers' views of children with special needs

This study is a qualitative study of two primary schoolteachers and two special teachers approach to children with special needs, and which procedures according to these teachers can be applied to support these children in their progress at school. Building on key concepts such as segregated integration, including integration, diagnostic and children with special needs. This was then analyzed with information collected from the four formal interviews. The study also sheds light on key concepts such as special support, diagnosis, segregated integration and including integration. The conclusion explains the concept of including integration as an approach that works well for both students with special needs in a short period of time yet also students with diagnoses. This is presented in the end of this study with different suggestions for a continued research on children with special needs

The importance of play in preschool : A qualitative study of preschool teachers perspective on the importance of play in preschool

Syftet med studien var att utöka våra kunskaper om förskollärares perspektiv i barns lek, studiens resultat har bearbetats utifrån kvalitativa forskningsansats där vi använde oss av semistrukturerade intervjuer där sju förskollärare tackade ja till att delta i vår studie. I resultat framkommer det att närvarande förskollärare, observationer och miljöns betydelse är väsentliga i leken eftersom det främjar barns lärande och utveckling. Förskollärarnas beskrivningar i resultatet tydliggör hur de arbetar för att delta i barns lek, genom att stötta och utmana barnen i leken genom att erbjuda barn en organiserad och pedagogisk miljö i förskola. Studiens resultat har analyserats utifrån det sociokulturella perspektivet.