STUDY OF THE RELATIONSHIP BETWEEN PRIMARY SCHOOL TEACHERS’ PERCEPTION TOWARDS GAME AND PHYSICAL EDUCATION AND GAME LESSON

The aim of this research is to study the relationship between Primary School Teachers’ perception towards game and physical education and game lesson according to different variables. 2291 primary school teachers make up the medium of this research. A survey model was used for this research. Primary School Teachers’ Attitudes towards Game and Physical Activities Lesson scale and Game Perception Scale were used as data collection tools. Descriptive statistics, mean, frequency, t-test, one-way analysis of variance (ANOVA), Tukey test from post hoc tests, and Spearman Correlation analysis were used in data analysis. According to the findings, there is a positively meaningful relationship between primary school teachers’ perception towards game and physical education and game lesson. It was found out that primary school teachers have a positive attitude towards physical education and game lesson, that they find physical education and game lesson beneficial, that they see themselves as insufficient in developing materials towards game in physical activity and game activities, and that it would be more beneficial if these activities are conducted by Physical Education Teachers.  Article visualizations

ENTEGRE RAPORLAMANIN İŞLETMELERİN FİNANSAL PERFORMANSLARI ÜZERİNDEKİ ETKİSİNİN YAPISAL EŞİTLİK MODELİ İLE ÖLÇÜLMESİ

Bu çalışma ile işletmelerin sosyal, çevresel ve ekonomik tüm performans göstergelerini tek bir raporda açıklayarak işletmelere değer katmayı hedefleyen entegre raporlamanın, bu hedefi doğrultusunda işletmelerin finansal performansları üzerindeki etkisi incelenmiştir. Bu amaçla işletmelerin sosyal, çevresel ve ekonomik performanslarını ifade eden teorik bir model oluşturulmuştur. Bu model çerçevesinde, entegre raporlamaya en yakın rapor yayınlayan BİST Sürdürülebilirlik Endeksi’ne kayıtlı işletmelerin 2016–2017 yıllarında yayınladıkları raporlardan alınan veriler, ‘SPSS for Windows 22.00 ve AMOS 22.0’ programı kullanılarak Yapısal Eşitlik Modellemesi Yol Analizi Yöntemi aracılığıyla ayrı ayrı analiz edilmiş ve yorumlanmıştır. Araştırma sonuçları, entegre raporlamanın işletmelerin finansal performansları üzerinde olumlu etkisinin olduğunu ortaya koymaktadır

STUDYING THE EFFECT OF PHYSICAL EDUCATION AND GAME LESSON ON PRIMARY SCHOOL STUDENTS’ ATTACHMENT TO SCHOOL

The aim of this study is to determine the relationship between the attitudes of primary school students towards physical education and game lesson and their attachment to school levels. The correlational survey method was used in this study. 3249 primary school students studying at primary schools in Mersin in the 2022-2023 educational year make up the sampling of this study. The sample group was chosen through simple random sampling. Personal Information Form, School Attachment Scale for Children and Teenagers (ASS-CT), and Attitude towards Physical Education and Sports Scale were used as data collection tools. Descriptive statistics, average, frequency, t-test, ANOVA; Tukey, and Spearman Correlation analysis to identify the relationship between two scales were used in data analysis. It was found out that primary school students have positive attitudes towards physical education and game lesson, that they like participating in physical activities and games and they would like more time to be allocated for them in programs, and that there is a high-level positive relationship between students’ attitude towards physical education and game and attachment to school.  Article visualizations

Application of Statistical and Artificial Intelligence Techniques for Medium-Term Electrical Energy Forecasting: A Case Study for a Regional Hospital

Electrical energy forecasting is crucial for efficient, reliable, and economic operations of hospitals due to serving 365 days a year, 24/7, and they require round-the-clock energy. An accurate prediction of energy consumption is particularly required for energy management, maintenance scheduling, and future renewable investment planning of large facilities. The main objective of this study is to forecast electrical energy demand by performing and comparing well-known techniques, which are frequently applied to short-term electrical energy forecasting problem in the literature, such as multiple linear regression as a statistical technique and artificial intelligence techniques including artificial neural networks containing multilayer perceptron neural networks and radial basis function networks, and support vector machines through a case study of a regional hospital in the medium-term horizon. In this study, a state-of-the-art literature review of medium-term electrical energy forecasting, data set information, fundamentals of statistical and artificial intelligence techniques, analyses for aforementioned methodologies, and the obtained results are described meticulously. Consequently, support vector machines model with a Gaussian kernel has the best validation performance, and the study revealed that seasonality has a dominant influence on forecasting performance. Hence heating, ventilation, and air-conditioning systems cover the major part of electrical energy consumption of the regional hospital. Besides historical electrical energy consumption, outdoor mean temperature and calendar variables play a significant role in achieving accurate results. Furthermore, the study also unveiled that the number of patients is steady over the years with only small deviations and have no significant influence on medium-term electrical energy forecasting

Investigation of the DMFT index of type 2 diabetes mellitus patients with a 5-year interval cross sectional study

Aim: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease with insulin deficiency or dysfunction. Notably, T2DM also has clinical and radiological implications in the oral region. This study aims to evaluate the changes in decay, missed, and filled teeth (DMFT) indexes on panoramic radiographs of T2DM patients at the end of a five-year follow-up and compare them with the control group. Materials and Methods: Two panoramic radiographs taken five years (mean 5.32±0.24) apart from each of the 92 patients (46 T2DM and 46 healthy) were evaluated. The DMFT index was calculated in a total of 184 panoramic radiographs and compared statistically. Results: When the DMFT index calculated on the first radiographs used in the five-year follow-up of the T2DM patients was compared with the DMFT index five years later, a statistically significant increase was found in the mean values except for D (p˂0.05) Conclusion: T2DM does not affect DMFT. As the DMFT values of both groups increased at the end of five years, it was determined that advanced age exacerbated DMFT. Panoramic radiography can be used in the follow-up of DMFT

Giuliani dönemi New York’unda suç neden azaldı? Suç önleme politikalarına bir bakış

This article explores as to why crime rates dropped drastically during the Giuliani`s Mayoral term in the City of New York. In addition to this, how crime prevention strategies were implemented and which results have been reached were also discussed for this period of thime. Although it is hard to claim that police strategies were the only instrument in reduced crime rates, police have contributed positively to the prevention of crime by serving in an effective, transparent, and accountable manner with the support of scientific research.Bu makale, Giuliani döneminde, New York şehrinde suç oranlarındaki ani düşüşün sebeplerini ortaya koymaktadır. Ayrıca, bu dönemde ortaya koyulan suç önleme stratejilerinin nasıl uygulandığını ve ne sonuçlar elde edildiğini irdelemeye çalışmaktadır.  Polisiye önlemlerin doğrudan suçu azalttığını iddia etmek zor olsa da, polisin, bilimsel araştırmaların da desteğiyle, daha etkin, şeffaf ve hesap verebilen bir anlayışla hizmet verdiğini ve bunun suçu önlemede pozitif katkı sağladığını söylemek mümkündür

How did the updated 2019 european society of cardiology/european atherosclerosis society risk categorization for patients with diabetes affect the risk perception and lipid goals, a simulated analysis of real-life data from EPHESUS study

Background: The recent 2019 European Society of Cardiology/European Atherosclerosis Society practice guidelines introduced a new risk categorization for patients with diabetes. We aimed to compare the implications of the 2016 and 2019 European Society of Cardiology/European Atherosclerosis Society guidelines with regard to the lipid-lowering treatment use, low-density lipoprotein cholesterol goal attainment rates, and the estimated proportion of patients who would be at goal in an ideal setting. Methods: Patients with diabetes were classified into 4 risk categories according to 2019 European Society of Cardiology/European Atherosclerosis Society dyslipidemia guidelines from the database of EPHESUS (cross-sectional, observational, countrywide registry of cardiology outpatient clinics) study. The use of lipid-lowering treatment and low-density lipoprotein cholesterol goal attainment rates were then compared according to previous and new guidelines. Results: This analysis included a total of 873 diabetic adults. Half of the study population (53.8%) were on lipid-lowering treatment and almost one-fifth (19.1%) were on high-intensity statins. While low-density lipoprotein cholesterol goal was achieved in 19.5% and 7.5% of patients, 87.4% and 69.6% would be on target if their lipid-lowering treatment was intensified according to 2016 and 2019 European Society of Cardiology/European Atherosclerosis Society lipid guidelines, respectively. The new target <55 mg/dL could only be achieved in 2.2% and 8.1% of very high-risk primary prevention and secondary prevention patients, respectively. Conclusion: The control of dyslipidemia was extremely poor among patients with diabetes. The use of lipid-lowering treatment was not at the desired level, and high-intensity lipid-lowering treatment use was even lower. Our simulation model showed that the high-dose statin plus ezetimibe therapy would improve goal attainment; however, it would not be possible to get goals with this treatment in more than one-third of the patients

Oxidant/Antioxidant Status, PON1 and ARES Activities, Trace Element Levels, and Histological Alterations in Sheep with Cystic Echinococcosis

Background: Total antioxidant status (TAS), total oxidant status (TOS) and oxidative stress index (OSI), nitric oxide (NO), zinc (Zn), copper (Cu) levels, paraoxonase (PON1), arylesterase (ARES) activities, and biochemical changes were studied on sheep with cystic echinococcosis. Methods: The materials were taken from 2-3 yr old sheep slaughtered in Van Province, Turkey in 2017. Before the slaughter, blood samples were collected from the healthy sheep, while various organs of animals were examined for hydatid cysts after the slaughter. Thirty sheep were protoscolex positive, hydatic group, while 30 sheep that did not have any pathological lesions in organ examinations were accepted as the control group. TOS levels, PON1 and ARES activities, and Zn levels were determined by commercial kits, while Cu levels were determined by atomic absorption spectrophotometer. The collected data were then statistically analyzed. Results: Serum TOS and OSI levels were significantly higher in sheep with cystic echinococcosis compared to the control group (P<0.001). TAS levels (P<0.01), PON1 and ARES activities, on the other hand, were significantly higher in control group compared to the cystic echinococcosis group (P<0.001). There were no significant differences in Zn, NO and Cu levels between the groups. Conclusion: PON1 and ARES activities increased in sheep infected with cyst hydatid. The decline of antioxidant reserves in the metabolism results in excessive amounts of free radicals, along with alterations of the normal histological structure of the cystic organ and changes in trace element metabolism