Gamification Learning for iPad Engagement in Middle School

The purpose of this action research was to determine if gamification learning would increase iPad engagement. This research was done in a 7th grade urban middle school over nine weeks in the fall of the school year. A regular 7th grade class of 18 students and an accelerated 7th grade class of 34 students participated in the study. Informed data was collected from pre and post survey, checklists, observations, student journals and gamification platform on Classcraft. The literature review examined the how motivated and self-regulated learner skills contribute to their academic success and how these skills can be used when introduced with a 1:1 device such as an iPad. The literature review also examined how to build engagement by having the use of iPads and gamification of learning in the traditional classroom setting. Results were positive on the impact of gamification in increasing iPad engagement. This research implies that gamified learning or gamification does have an impact on increasing engagement and self-regulated learners have an increased engagement of using their iPads compared to non-self-regulated learners

Experience of a Medical Student: Volunteering in The Emergency Department during Massive Flood in Kelantan, Malaysia

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Advanced Small Cell Lung Cancer with Cerebellar Metastases – A Case Report

Background: Small cell lung cancer is an aggressive subtype of lung cancer whereby about one-third of cases are complicated with brain metastases. However, cerebellar metastases are uncommon and contribute to less than 10% of brain metastases. Case: We report a 76-year-old Malay male, an active smoker who presented with dyspnea and occasional cough with hemoptysis for one week. He also presented with headache and constitutional symptoms of malignancy. Clinical examination suggested the presence of right upper chest pathology and positive left cerebellar signs. His condition deteriorated two days later and he passed away after failed attempts at resuscitation. Chest radiograph showed right upper lobe collapse, and brain magnetic resonance imaging showed metastatic lesion in the left cerebellum extending to the right cerebellum. Post-mortem findings revealed small cell lung cancer with cerebellar metastases. Conclusion: Small cell lung cancer patients with brain metastases deteriorate very rapidly, and the management is mainly supportive. Primary prevention through education is the best way to reduce the incidence of lung cancer. In addition, secondary prevention and screening should be undertaken at earlier stages of the disease, as some studies have shown that combined chemotherapy and radiotherapy improve prognosis of malignancies detected at early stag

Numerical Study of the Flow Fields in Downburst with Consideration of the Rough Condition on the Ground

The downburst is an extreme weather condition whose resulting load will affect the stability of the building structures. The characteristic of downbursts is required during the design of buildings. In order to achieve the characteristics of the downbursts, large eddy simulation (LES) is adopted. The method impinging jet is used to reproduce the downbursts, meanwhile smooth and rough ground conditions are examined. The setting of the rough layer of the ground is done by using the immersion boundary method (IBM). After the simulation, the wind field is decomposed into the mean component and the turbulence component. In this paper, the radial wind speed profile and the wind speed time diagram of the simulation experiment are compared with the previous measured data and the simulation results. This paper reveals that the radial wind speed is the key part of the downburst wind speed, and it rapidly increases with height. It is also found that the rough ground will cause the peak radial velocity to move up, which is consistent with the change of the main annular vorticity in vortex cloud image analysis. Finally, the turbulence intensity is found to be relatively small at the position where the radial wind speed is relatively large

The Modular Organization of Protein Interactions in Escherichia coli

Escherichia coli serves as an excellent model for the study of fundamental cellular processes such as metabolism, signalling and gene expression. Understanding the function and organization of proteins within these processes is an important step towards a ‘systems’ view of E. coli. Integrating experimental and computational interaction data, we present a reliable network of 3,989 functional interactions between 1,941 E. coli proteins (∼45% of its proteome). These were combined with a recently generated set of 3,888 high-quality physical interactions between 918 proteins and clustered to reveal 316 discrete modules. In addition to known protein complexes (e.g., RNA and DNA polymerases), we identified modules that represent biochemical pathways (e.g., nitrate regulation and cell wall biosynthesis) as well as batteries of functionally and evolutionarily related processes. To aid the interpretation of modular relationships, several case examples are presented, including both well characterized and novel biochemical systems. Together these data provide a global view of the modular organization of the E. coli proteome and yield unique insights into structural and evolutionary relationships in bacterial networks