What happens during teacher-student ınteraction in the first year of primary school? A new explanation

The present research aims to develop a theory on teacher–student interaction in the first year of primary school period. The present research was designed in grounded theory research which is one of the qualitative research traditions. A total of 18 primary school children started the first year of primary school. Data were collected through participant observation. Participant observation was launched after all necessary ethical permissions were taken from local education authority, the participant children, their teacher, and parents. Data were analyzed through constant comparison within three stages as open coding, axial coding, and selective coding. It was reported that the teacher and the first graders mutually developed strategies and there were several circumstances in the interaction that nested behavioral problem

Correlation Between Vitamin D Level and Platelet Indices in Children Aged 0-18 Years

Aim: In this study, we aimed to investigate whether any correlation exists between 25-hidroxyvitamin D [25(OH)D)] level and platelet indices in childhood. Methods: We planned a retrospective study. Firstly, we scanned 25(OH)D and hemogram tests in children who presented to our pediatric clinic with any simple complaint from January 2014 to December 2016. We finally included 346 children (168 female and 178 male) aged 0-18 years in order to evaluate the correlation between 25(OH)D level and platelet indices. Results: No significant difference was observed in average age and gender between the study groups (p=0.856 and p=0.907, respectively). We did not determine any significant difference among seasons in terms of 25(OH)D level (p=0.512). Finally, we also did not find any correlation between 25(OH)D and platelet indices in all groups (p>0.05). Conclusion: There was no relationship between 25(OH)D level and platelet indices in healthy children

Antioxidant and anti-inflammatory activities of a commercial noni juice revealed by carrageenan-induced paw edema

This study aimed to investigate antioxidant and anti-inflammatory activities of a commercial product of noni (Morinda citrifolia) juice. Carrageenan-induced rat paw edema was employed as inflammatory model. One control and three experimental groups were formed. Experimental groups were administered noni juice alone, noni juice+carrageenan, and carrageenan alone. Oxidant and antioxidant capacity were determined by d-ROMs test and BAP test, respectively. Plasma concentrations of endothelin-1 and leptin were measured by ELISA. Measurements were performed at zero time and 2nd hour of inflammation. Oxidant capacity decreased in noni-received groups at 2nd hour (p=0.019). Antioxidant capacity of the group which received noni alone was found to be higher at 2nd hour (p=0.036). Plasma concentrations of endothelin-1 and leptin were notably lower in noni-received groups (p=0.001 and p=0.021, respectively). The results show that the commercial noni juice investigated has pronounced antioxidant and anti-inflammatory activities

Within- and between-subject biological variation data for serum zinc, copper and selenium obtained from 68 apparently healthy Turkish subjects

Postponed access: the file will be available after 2022-10-22Objectives: Trace elements (TrEL) are nutritionally essential components in maintaining health and preventing diseases. There is a lack of reliable biological variation (BV) data for TrELs, required for the diagnosis and monitoring of TrEL disturbances. In this study, we aimed to provide updated within- and between-subject BV estimates for zinc (Zn), copper (Cu) and selenium (Se). Methods: Weekly serum samples were drawn from 68 healthy subjects (36 females and 32 males) for 10 weeks and stored at −80 °C prior to analysis. Serum Zn, Cu and Se levels were measured using inductively-coupled plasma mass spectrometry (ICP-MS). Outlier and variance homogeneity analyses were performed followed by CV-ANOVA (Røraas method) to determine BV and analytical variation estimates with 95% CI and the associated reference change values (RCV) for all subjects, males and females. Results: Significant differences in mean concentrations between males and females were observed, with absolute and relative (%) differences for Zn at 0.5 μmol/L (3.5%), Cu 2.0 μmol/L (14.1%) and Se 0.06 μmol/L (6.0%). The within-subject BV (CVI [95% CI]) estimates were 8.8% (8.2–9.3), 7.8% (7.3–8.3) and 7.7% (7.2–8.2) for Zn, Cu and Se, respectively. Within-subject biological variation (CVI) estimates derived for male and female subgroups were similar for all three TrELs. Marked individuality was observed for Cu and Se. Conclusions: The data of this study provides updated BV estimates for serum Zn, Cu and Se derived from a stringent protocol and state of the art methodologies. Furthermore, Cu and Se display marked individuality, highlighting that population based reference limits should not be used in the monitoring of patients.publishedVersio

Crizotinib efficacy and safety in patients with advanced NSCLC harboring MET alterations: A real-life data of Turkish Oncology Group

Crizotinib is a multikinase inhibitor, effective in non-small cell lung cancer (NSCLC) harboring mesenchymal-epidermal transition (MET) alterations. Although small prospective studies showed efficacy and safety of crizotinib in NSCLC with MET alterations, there is limited real-life data. Aim of this study is to investigate real-life efficacy and safety of crizotinib in patients with advanced NSCLC harboring MET alterations. This was a retrospective, multicenter (17 centers) study of Turkish Oncology Group. Patients' demographic, histological data, treatment, response rates, survival outcomes, and toxicity data were collected. Outcomes were presented for the study population and compared between MET alteration types. Total of 62 patients were included with a median age of 58.5 (range, 26-78). Major histological type was adenocarcinoma, and 3 patients (4.8%) had sarcomatoid component. The most common MET analyzing method was next generation sequencing (90.3%). MET amplification and mutation frequencies were 53.2% (n = 33) and 46.8% (n = 29), respectively. Overall response rate and disease control rate were 56.5% and 74.2% in whole study population, respectively. Median progression free survival (PFS) was 7.2 months (95% confidence interval [CI]: 3.8-10.5), and median overall survival (OS) was 18.7 months (95% CI: 13.7-23.7), regardless of treatment line. Median PFS was 6.1 months (95% CI: 5.6-6.4) for patients with MET amplification, whereas 14.3 months (95% CI: 6.7-21.7) for patients with MET mutation (P = .217). Median PFS was significantly longer in patients who have never smoked (P = .040), have good performance score (P < .001), and responded to the treatment (P < .001). OS was significantly longer in patients with MET mutation (25.6 months, 95% CI: 15.9-35.3) compared to the patients with MET amplification (11.0 months; 95% CI: 5.2-16.8) (P = .049). In never-smokers, median OS was longer than smoker patients (25.6 months [95% CI: 11.8-39.3] vs 16.5 months [95% CI: 9.3-23.6]; P = .049). The most common adverse effects were fatigue (50%), peripheral edema (21%), nausea (29%) and diarrhea (19.4%). Grade 3 or 4 adverse effects were observed in 6.5% of the patients. This real-life data confirms efficacy and safety of crizotinib in the treatment of advanced NSCLC harboring MET alteration

Impact of school closure due to COVID-19 on phonemic awareness of first-grade primary school children

The purpose of the present research was to disclose the impact of school closures due COVID-19 on phonemic awareness of first-grade primary school students. The research sample comprised two cohorts. Cohort-1 consisted of 59 first-grade primary school students, while there were 193 students in Cohort-2. A total of 252 first-grade primary school students were recruited into the research sample. Data were collected with the Phonemic Awareness Test which was specifically designed for the research. Mediation analysis was used for data analysis. Results of the mediation analysis indicated that school closures due to COVID-19 led to significant decreases in phonemic awareness of first-grade primary school students. Results are also discussed along with student-teacher interactions

New scaling of theory of mind tasks: Where can the intentional aspect be scaled?

The purpose of the research is to develop a new theory of mind tasks, test its reliability and validity, and scale the intentional aspect of theory of mind. The study was designed as survey research, one of the quantitative research traditions. One hundred and fifty-eight children whose age ranged between 4 and 10 years were included in the research sample through quota sampling. Data were dichotomous so Rasch analysis was used to analyse the data. As result of Rasch analysis, it was found that the separation index is 7; reliability coefficient is 98; and the battery of the theory of mind task has robust model fit based on RMSE, infit mean-square and outfit mean-square. Difficulty analysis indicated that false belief tasks and real vs. disclosed intention are the hardest tasks, while diverse desires, implicit false beliefs, and diverse beliefs are the easiest tasks in the battery

Development of visual-spatial ability test (VSAT) for primary school children: ıts reliability and validity

The purpose of the present research is to develop a visual-spatial ability test (VSAT) for primary school children. Visual-spatial abilities allow processing of information about an object in terms of shape, colour, texture, perspective, and rotation. The visual-spatial test includes items-tasks for the participants to process information about texture, colour, shape and perspective. A total of 196 primary school children participated in the research. The data were analysed through Rasch analysis and item-response theory. Findings proved that VSAT yields reliable and valid results for assessing the visual-spatial ability of primary school children

Diyabet tahmini için makine ö?renmesi modellerinin performans karşilaştirilmasi]

29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 -- 9 June 2021 through 11 June 2021 -- -- 170536Diabetes is a chronic disease that causes blood sugar to rise. This chronic disease can be cause mortality. There are different diagnoses and treatment methods for diabetes in the medical field. In addition, with the developing technology, diagnosis of the disease can be made computer-aided. Computeraided diagnostic methods are a successful, fast, and alternative method that supports the doctor's decision. The use of computeraided diagnosis approach for diabetes and many other diseases is increasing day by day. Machine learning classification methods are the most commonly used methods for computer-aided diagnostics. The aim of this study is to design a model to detect the probability of diabetes in patients at an early stage with maximum accuracy. Therefore, seven machine learning classification algorithms were used, namely Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Gaussian Naive Bayes, Decision Tree, Random Forest, and Artificial Neural Network. The study was carried out on the Pima Indians Diabetes Database (PIDD) taken from the Kaggle database. The performances of machine learning methods were evaluated according to precision, recall, ROC curve, and PRC criteria. According to the results, the Logistic Regression method is more successful than other methods in classifying diabetes disease accurately. © 2021 IEEE