Füsioteraapia roll amüotroofse lateraalskleroosiga patsiendi käsitluses

http://www.ester.ee/record=b514040

THE EFFECT OF USING KAHOOT APPLICATION AND SEMANTIC MAPPING STRATEGY ON STUDENTS’ WRITING ABILITY AT ISLAMIC JUNIOR HIGH SCHOOL

Penelitian ini bertujuan untuk mengetahui perbedaan peningkatan yang signifikan dengan menggunakan Aplikasi Kahoot dan Strategi Pemetaan Semantik terhadap Kemampuan Menulis Siswa di SMP Islam. Penelitian ini merupakan penelitian komparatif dengan menggunakan quasi-experimental design nonequivalent pre-test and post-test group design atau dua kelompok dijadikan sebagai kelompok eksperimen. Populasinya adalah dua kelas di kelas tujuh, dua kelas di kelas delapan, dan dua kelas di kelas sembilan. Jumlah populasi sebanyak 167 siswa dan jumlah sampel sebanyak 2 kelas yang terdiri dari 50 siswa. Sampel penelitian diambil dengan menggunakan convenience sampling. Data dikumpulkan melalui Pre-test dan Post-test. Data dianalisis dengan menggunakan Paired Sample T-test, Independent Sample T-test dan Effect size. Hasil dari penelitian ini adalah; pertama, terdapat perbedaan yang signifikan kemampuan menulis siswa menggunakan Aplikasi Kahoot dan tanpa menggunakan Aplikasi Kahoot. Kedua, terdapat perbedaan yang signifikan pada kemampuan menulis siswa yang menggunakan Strategi Pemetaan Semantik dan tanpa menggunakan Strategi Pemetaan Semantik. Ketiga, terdapat perbedaan yang signifikan kemampuan menulis siswa antara menggunakan Aplikasi Kahoot dan menggunakan Strategi Pemetaan Semantik. Penggunaan Aplikasi Kahoot efektif pada tingkat sedang terhadap kemampuan menulis siswa. Penggunaan Strategi Pemetaan Semantik efektif pada tingkat sedang. Oleh karena itu, Strategi Pemetaan Semantik lebih meningkat secara signifikan daripada Aplikasi Kahoot. Hal ini membuktikan bahwa strategi Semantic Mapping lebih tepat diterapkan pada siswa kelas VIII MTs. Muhammadiyah 8 Siabu

Data with Hierarchical Structure: Impact of Intraclass Correlation and Sample Size on Type-I Error

Least squares analyses (e.g., ANOVAs, linear regressions) of hierarchical data leads to Type-I error rates that depart severely from the nominal Type-I error rate assumed. Thus, when least squares methods are used to analyze hierarchical data coming from designs in which some groups are assigned to the treatment condition, and others to the control condition (i.e., the widely used “groups nested under treatment” experimental design), the Type-I error rate is seriously inflated, leading too often to the incorrect rejection of the null hypothesis (i.e., the incorrect conclusion of an effect of the treatment). To highlight the severity of the problem, we present simulations showing how the Type-I error rate is affected under different conditions of intraclass correlation and sample size. For all simulations the Type-I error rate after application of the popular Kish (1965) correction is also considered, and the limitations of this correction technique discussed. We conclude with suggestions on how one should collect and analyze data bearing a hierarchical structure

Recommendations for whole genome sequencing in diagnostics for rare diseases

In 2016, guidelines for diagnostic Next Generation Sequencing (NGS) have been published by EuroGentest in order to assist laboratories in the implementation and accreditation of NGS in a diagnostic setting. These guidelines mainly focused on Whole Exome Sequencing (WES) and targeted (gene panels) sequencing detecting small germline variants (Single Nucleotide Variants (SNVs) and insertions/deletions (indels)). Since then, Whole Genome Sequencing (WGS) has been increasingly introduced in the diagnosis of rare diseases as WGS allows the simultaneous detection of SNVs, Structural Variants (SVs) and other types of variants such as repeat expansions. The use of WGS in diagnostics warrants the re-evaluation and update of previously published guidelines. This work was jointly initiated by EuroGentest and the Horizon2020 project Solve-RD. Statements from the 2016 guidelines have been reviewed in the context of WGS and updated where necessary. The aim of these recommendations is primarily to list the points to consider for clinical (laboratory) geneticists, bioinformaticians, and (non-)geneticists, to provide technical advice, aid clinical decision-making and the reporting of the results

How do psychosocial determinants in migrant women in the Netherlands differ from these among their counterparts in their country of origin? A cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Migration of non-Western women into Western countries often results in an increase in smoking prevalence among migrant women. To gain more insight into how to prevent this increase, we compared psychosocial determinants of smoking between Surinamese women in Suriname and those in the Netherlands.</p> <p>Methods</p> <p>Data were obtained between 2000 and 2004 from two cross-sectional studies, the CVRFO study in Suriname (n = 702) and the SUNSET study in the Netherlands (n = 674). For analyses of determinants, we collected additional data in CVRFO study population (n = 85). Differences between the two groups were analysed by chi-square analyses and logistic regression analyses.</p> <p>Results</p> <p>As was found in other studies among migrant women, more Surinamese migrant women in the Netherlands smoked (31%) than women in Suriname (16%). More Surinamese women in the Netherlands than in Suriname had a positive affective and cognitive attitude towards smoking (OR = 2.6 (95%CI 1.05;6.39) and OR = 3.3 (95%CI 1.31;8.41)). They perceived a positive norm within their partners and friends regarding smoking more frequently (OR = 6.5 (95%CI 2.7;15.6) and OR = 3.3 (95%CI 1.50;7.25)).</p> <p>Conclusion</p> <p>Migrant women are more positive towards smoking and perceived a more positive norm towards smoking when compared with women in the country of origin. Interventions targeted at the psychosocial determinants regarding smoking for newly migrated women, in particular the consequences of smoking and the norm towards smoking might help to prevent an increase in smoking in those populations.</p