Pengaruh Pendekatan Pembelajaran Matematika Realistik Terhadap Prestasi Belajar Matematika Ditinjau Dari Kemampuan Numerik Siswa Kelas VIII SMP Negeri 2 Amlapura

Penelitian ini bertujuan untuk mengetahui dan mendeskripsikan pengaruh pendekatan pembelajaran matematika realistik terhadap prestasi belajar matematika ditinjau dari kemampuan numerik siswa. Penelitian ini merupakan eksperimen semu dilaksanakan dengan menggunakan rancangan the post test only control group design. Populasinya adalah seluruh siswa kelas VIII SMP Negeri 2 Amlapura tahun pelajaran 2013-2014. Dari delapan kelas yang ada, empat kelas dipilih sebagai sampel yakni dua kelas sebagai kelas eksperimen dan dua kelas sebagai kelas kontrol yang diambil dengan teknik random. Data penelitian dikumpulkan menggunakan tes, yaitu tes kemampuan numerik dan tes prestasi belajar matematika. Data yang diperoleh dianalisis dengan analisis varians dua jalur dilanjutkan dengan uji Tukey. Berdasarkan hasil analisis data dan pembahasan, dapat disimpulkan, terdapat perbedaan yang signifikan prestasi belajar matematika antara siswa yang mengikuti pendekatan pembelajaran matematika realistik dengan siswa yang mengikuti pendekatan pembelajaran konvensional. Terdapat pengaruh interaksi antara pendekatan pembelajaran matematika realistik dan kemampuan numerik terhadap prestasi belajar matematika. Pada Siswa yang memiliki kemampuan numerik tinggi, prestasi belajar matematika siswa yang mengikuti pendekatan pembelajaran matematika realistik lebih baik daripada pendekatan konvensional. Pada siswa yang memiliki kemampuan numerik rendah, prestasi belajar matematika siswa yang mengikuti pendekatan pembelajaran matematika realistik tetap lebih tinggi dari siswa yang mengikuti pendekatan pembelajaran konvensional.Kata Kunci : pendekatan pembelajaran matematika realistik, kemampuan numerik, dan prestasi belajar matematika The study aimed at finding out and describing the contribution of realistic mathematic instructional approach towards mathematic learning achievement viewed from numeric skills. It was a quasi-experimental research by utilizing the post test only control group design. The study involved all students class VIII SMP Negeri 2 Amlapura in 2013-2014 as the population. Four classes of the students were chosen from eight parallel classes as the samples consisting of two classes as experimental and another two classes as control groups. They were determined based on random technique. The data were collected by testing, involving numeric ability and mathematic achievement tests. They were analysed based on two tailed variant analysis followed by Tukey-test. The results indicated that there was a significant difference between mathematic learning achievement of the students joining realistic mathematic instruction and those joining a conventional approach. There was an interactional contribution of realistic mathematic instructional approach and numeric ability towards mathematic learning achievement. The students having higher numeric skills, when joining realistic mathematic instruction approach their mathematic learning achievement was found better or higher than those joining a conventional approach. The students having lower numeric skills, when joining realistic mathematic instruction approach, their mathematic learning achievement was found better or higher than those joining a conventional approach

Additional file 1: of Prioritization and functional assessment of noncoding variants associated with complex diseases

Table S1. A tabular comparison between PAFA and seven other ensemble classifiers aimed at detecting functional/deleterious variants from background variants. Table S2. Comparisons among PAFA, Eigen, CADD, GWAVA, DANN, FATHMM-MKL, and LINSIGHT in evaluating variants from four curated databases, including ClinVar, 1000 Genomes, GWAS Catalog, and COSMIC. Table S3. Comparisons among PAFA, Eigen, CADD, GWAVA, FATHMM-MKL, and DANN in discriminating pathogenic variants from benign variants associated with Mendelian diseases. Table S4. Statistics often cancer-related variant sets from ICGC projects. Figure S1. Genetic and genomic resources used in PAFA and their screenshots. Figure S2. Genetic and genomic resources used in the 1000 GENOMES part of the PAFA online platform and their screenshots. Figure S3. Genetic and genomic resources used in the ANNOTATION part of the PAFA online platform and their screenshots. Figure S4. Genetic and genomic resources used in the VSEA part of the PAFA online platform and their screenshots. Figure S5. Genetic and genomic resources used in the SEARCH part of the PAFA online platform and their screenshots. Figure S6. An integrated PAFA online platform for variant prioritization and functional annotation. Figure S7. Flowchart of selecting and filtering training variants used in PAFA. Figure S8. Tenfold cross-validations are applied to evaluate the performance of features used in PAFA. Figure S9. Distribution of allele frequencies for 24 cancer-associated variant sets from GWASdb among super populations. Figure S10. Distribution of allele frequencies for nine complex trait-associated variant sets from GWASdb among super populations. Figure S11. Distribution of allele frequencies for eight mental disorder-associated variant sets. Figure S12. Distribution of allele frequencies for 17 complex disease-associated variant sets. Figure S13. Distribution of FST values for variant sets associated with complex diseases and traits. Figure S14. Enriched pathways of genes associated with coding and noncoding variants. Figure S15. Sensitivity and specificity of tools in distinguishing coding risk variants from adjacent variants. Figure S16. Distributions of PAFA scores for breast cancer-related variants and adjacent variants from the 1000 Genomes. Figure S17. Distributions of PAFA scores for OSC-related variants from TCGA and simulated noncoding rare variants. Figure S18. Distributions of PAFA scores for human blood metabolite-related variants and adjacent variants from 1000 Genomes. Figure S19. Distributions of PAFA scores for macular telangiectasia type 2-related variants and adjacent variants from 1000 Genomes. Figure S20. Distributions of PAFA scores for bladder cancer-related variants and adjacent variants from 1000 Genomes. (PDF 2069 kb

DataSheet_1_Association between circulating resistin levels and thyroid dysfunction: A systematic review and meta-analysis.xlsx

BackgroundAs a product of adipose tissue, resistin exceeds other adipokines in its role in regulating appetite, energy expenditure, insulin sensitivity, inflammation, and immunity, similar to thyroid hormones. This study aimed to evaluate the association between resistin levels and thyroid dysfunction and to explore variations in circulating resistin levels before and after treatment for thyroid dysfunction.MethodsThis study was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. A comprehensive search of PubMed, Embase, and Cochrane databases was conducted until June 15, 2022, with no start date restriction, according to the preregistered protocol (PROSPERO-CRD42022336617). RevMan version 5.4 and R software package version 4.2.0 were used for statistical analyses.ResultsFourteen studies with 1716 participants were included in this study. The findings of the meta-analysis confirmed that the resistin levels of patients with thyroid dysfunction were significantly higher than those of the euthyroid function control group (mean difference [MD] = 2.11, 95% confidence interval [CI] = 1.11–3.11, P ConclusionsOur meta-analysis demonstrates that resistin levels are significantly higher in patients with thyroid dysfunction, and the resistin levels after treatment in patients with thyroid dysfunction are significantly lower than those before treatment. Correlation analysis shows a positive correlation between resistin levels and FT3 levels in patients with thyroid dysfunction.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022336617.</p

Table_1_Association between circulating resistin levels and thyroid dysfunction: A systematic review and meta-analysis.xlsx

BackgroundAs a product of adipose tissue, resistin exceeds other adipokines in its role in regulating appetite, energy expenditure, insulin sensitivity, inflammation, and immunity, similar to thyroid hormones. This study aimed to evaluate the association between resistin levels and thyroid dysfunction and to explore variations in circulating resistin levels before and after treatment for thyroid dysfunction.MethodsThis study was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. A comprehensive search of PubMed, Embase, and Cochrane databases was conducted until June 15, 2022, with no start date restriction, according to the preregistered protocol (PROSPERO-CRD42022336617). RevMan version 5.4 and R software package version 4.2.0 were used for statistical analyses.ResultsFourteen studies with 1716 participants were included in this study. The findings of the meta-analysis confirmed that the resistin levels of patients with thyroid dysfunction were significantly higher than those of the euthyroid function control group (mean difference [MD] = 2.11, 95% confidence interval [CI] = 1.11–3.11, P ConclusionsOur meta-analysis demonstrates that resistin levels are significantly higher in patients with thyroid dysfunction, and the resistin levels after treatment in patients with thyroid dysfunction are significantly lower than those before treatment. Correlation analysis shows a positive correlation between resistin levels and FT3 levels in patients with thyroid dysfunction.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022336617.</p

The impact of changes in dietary knowledge on adult overweight and obesity in China

<div><p>Overweight and obesity are rapidly growing threats in China. Improvement in dietary knowledge can potentially prevent overweight and obesity, conditions which are receiving substantial attention from international organizations and governments. The purpose of this study was to investigate the impact of changes in dietary knowledge on adult overweight and obesity, using a balanced panel data consisting of 10,401 samples from the 2006, 2009, and 2011 iterations of the China Health and Nutrition Survey. Results indicate that overweight and obesity are becoming increasingly problematic in China, and the level of dietary knowledge among Chinese adults needs improvement. Moreover, the empirical results indicate that changes in dietary knowledge among adults has no significant influence on adult overweight and obesity, a likely result of lacking systematic dietary knowledge and having inadequate guidance on overweight/obesity-related behaviors.</p></div

Mean BMI and change in BMI by sex and region.

<p>Mean BMI and change in BMI by sex and region.</p

BMI density curves in 2006 and 2011.

<p>BMI density curves in 2006 and 2011.</p

Share of population in BMI categories over time (in %).

<p>Share of population in BMI categories over time (in %).</p

Mean dietary knowledge and change in dietary knowledge by sex and region (CHNS 2006, 2009 and 2011).

<p>Mean dietary knowledge and change in dietary knowledge by sex and region (CHNS 2006, 2009 and 2011).</p

Dietary knowledge questions in the China Health and Nutrition Survey and corresponding correct answers.

<p>Dietary knowledge questions in the China Health and Nutrition Survey and corresponding correct answers.</p