Kemampuan Pemecahan Masalah Siswa SMA pada Hukum Archimedes

The purpose of this study was to explore the students’ problem solving skill to solve problem in Archimedes principle on the senior high school level. The method of this study was mixed method with explanatory follow up explanation design. The subject of this study was 30 students of k-11 in SMAN 9 Malang. The kuantitative data was collected through survey by 2 essay questions with reliability cronbah alpha 0,70. The qualitative data was collected through interview after analyze student answare. The aim of this interview was to follow up the pattern of student answare. The result of this study shown that students’ expert attitude began solve problem through definite problem qualitatively. In addition, the students’ novice attitude refer to not describe a problem qualitatively.

‘Five patients at the early stage of the Wuhan seafood market pneumonia virus outbreak’ - bacterial load is much higher than SARS-Cov2 load, Pseudomonas is a definite problem in one patient, and Prevotella is abundant in all patients

Here, I analyze the metagenome from the bronchoalveolar lavage fluid of 5 Covid19 [1–3] patients from Wuhan (Accid:PRJNA605983, Table 1). There is no published study on this dataset yet.Very little viral loadThere is very little viral load (in the tens per million reads), similar to the metagenomic study in Brazil [4]. This is a very plausible cause for false negatives, as there is just not enough virus to detect. Thus, it is important to have a large set of RT-PCR primers to cover more of the genome.Much more bacterial loadWhile there are a wide range of bacteria, Pseudomonas has definitely colonized patient1, while patient5 seems to have have the least bacterial load. Pseudomonas is associated with several diseases, several of which (pneu- monia and septicemia) are relevant in Covid19 [5]. The bacterial species and their sequences are submitted in SI5patients on a per patient basis. These bacterial co-infections form the basis of hydroxychloroquine [6] and azithromycin working in clinical trials [7].

Multiple Choice Questions in Medical Education: How to Construct High Quality Questions

Multiple choice questions (MCQ) are the most widely used objective test items. Students often learn what we assess, and not what we teach, although teaching and assessment are the two sides of the same coin. So, assessment in medical education is very important to ensure that qualified competent doctors are being produced.A good test is the test that assesses higher level of thinking skills. Many inhouse MCQs are found faulty which assess lower level of thinking skills. The main problems in constructing good MCQs are that (i) very few faculty members have formal training in questions construction, (ii) most of the questions are prepared in the last minutes where little time exist for vetting to review the quality of questions and (iii) lack of promise on the standard of the question format and underestimation of the use of blueprint in medical schools. Constructing good MCQs, emphasis should be given that, the stem is meaningful and present a definite problem, it contains only relevant material and avoid negativity. It should be ensuring that, all options present as plausible, clear and concise, mutually exclusive, logical in order, free from clues and avoid ‘all of the above’ and ‘none of the above’. The MCQs can tests well any higher level of the cognitive domain, if it is constructed well. Efforts must be made to prepare and use of test blueprint as a guide to construct good MCQs. This paper describes and offers medical teachers a window to a comprehensive understanding of different types and aspects of MCQs and how to construct test blueprint and good MCQs that tests higher order thinking skills in the future medical graduates, thereby ensures competent doctors are being produced.International Journal of Human and Health Sciences Vol. 04 No. 02 April’20 Page : 79-88

Greedy low-rank algorithm for spatial connectome regression

Recovering brain connectivity from tract tracing data is an important computational problem in the neurosciences. Mesoscopic connectome reconstruction was previously formulated as a structured matrix regression problem (Harris et al. in Neural Information Processing Systems, 2016), but existing techniques do not scale to the whole-brain setting. The corresponding matrix equation is challenging to solve due to large scale, ill-conditioning, and a general form that lacks a convergent splitting. We propose a greedy low-rank algorithm for the connectome reconstruction problem in very high dimensions. The algorithm approximates the solution by a sequence of rank-one updates which exploit the sparse and positive definite problem structure. This algorithm was described previously (Kressner and Sirković in Numer Lin Alg Appl 22(3):564–583, 2015) but never implemented for this connectome problem, leading to a number of challenges. We have had to design judicious stopping criteria and employ efficient solvers for the three main sub-problems of the algorithm, including an efficient GPU implementation that alleviates the main bottleneck for large datasets. The performance of the method is evaluated on three examples: an artificial “toy” dataset and two whole-cortex instances using data from the Allen Mouse Brain Connectivity Atlas. We find that the method is significantly faster than previous methods and that moderate ranks offer a good approximation. This speedup allows for the estimation of increasingly large-scale connectomes across taxa as these data become available from tracing experiments. The data and code are available online.

Innovations in the management of tax gaps in the economy: foreign economic component

This article summarizes the arguments and counter-arguments within the framework of scientific discussion on the estimation of the volume of tax gaps in the economy in the context of the foreign economic activity of the country as one of the tools for minimizing tax liabilities. Systematizing these scientific developments on the definite problem has shown that among scientists there is no consensus on the role of tax gaps in the economy and their interrelation with foreign economic activity of the country, which significantly updates the need for further empirical research in this area, aimed at determining the volume of tax gaps by the export-import activity and their influence on indicators of economic development of the country. The research is based on the use of the modified Grubel-Lloyd formula (which allows determining the index of asynchronous export-import activity in the retrospective dynamics) and indicators of the level of asynchronous export-import activity by the partner countries. The study subject is the countries with the highest (Georgia), medium (Turkey, Cyprus, Solomon Islands) and the lowest (Japan, Austria, United States) levels of economy shadowing, which allows taking a more thorough and objective decision on the effect of asynchronous export and import activity on the volume of tax gaps in the economy, and its dependence on the level of shadowing in the country for 2013-2017. The paper presents the results of the empirical analysis of the volume gap of foreign economic activity on the example of Ukraine and its trading partners, which has shown that the highest index of asynchrony is peculiar to countries with average levels of shadowing – Cyprus, Solomon Islands, and the lowest – with the participation of countries with low level of shadowing. At the same time, it has been determined that one of the highest asynchronous indexes is observed with the participation of offshore countries. The study empirically confirms and theoretically proves that the foreign economic component plays a significant role in the processes of economic development of the country, and the number of hidden tax payments, due to these transactions, occupy about 1% of the country's GDP (gross domestic product). The results of the research may be useful for the relevant executive authorities in developing measures to prevent income shadowing in the context of export-import operations.

Interconfessional dialogue in modern Ukraine: impulses, conditions, purpose, subjects, levels of understanding

The article by Oksana Horkusha “Interconfessional dialogue in modern Ukraine: impulses, conditions, purpose, subjects, levels of understanding” analyzes the motives, conditions, goals, subjects and levels of understanding of the interconfessional dialogue in contemporary Ukraine. Interconfessional dialogue cannot have a purpose in itself. Different confessions reach agreement only in the process of such dialogue, which are carried out by mutually viable actors who have a common goal, are in the same cultural-historical context, a definite problem, for the solution of which is used by adequate dialogue platforms, methods and instruments.

Communicative Competence as a Subjective Determinant: Globalization and Personal Aspects

The content and the specific process of communicative competence formation of the individuality are justified in the article; social determinants that determine the need to improve this process and harmonization with the needs of society and individuality are defined. The educational, psychological, philosophical sources are analysed, the main directions of research on definite problem are characterized. The essence of communicative competence as the educational phenomenon is found; the importance of communicative competence in today's conditions is proved. The attention is paid to the main principles and methods of communicative competence of the individuality