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Tokat İlinde Yetiştirilen Anadolu Mandalarında Büyüme Özelliklerine Ait Fenotipik Parametreler Ve Genetik Parametre Tahminleri
Get PDFBu araştırmada, Tokat ilinde 2012-2022 yılları arasında doğan 9401 baş Anadolu
mandası malağının büyüme özellikleri ile ilgili varyans bileşenleri ve genetik parametreleri
tahmin edilmiştir. Bu kapsamda mandalara ait doğum ağırlığı (DA), altıncı ay (CA6), on ikinci
ay canlı ağırlıkları (CA12) ve günlük ortalama canlı ağırlık artışları büyüme özellikleri olarak
incelenmiştir. Toplamda 44424 büyüme verisi (DA (9401), CA6 (7685), CA12 (6550), doğum
ile altıncı ay arasındaki günlük canlı ağırlık artışı (GCAADA-6, 7686) 6. ay ile 12. ay arasındaki
günlük canlı ağırlık artışı (GCAA6-12, 6553) ve doğum ile 12. ay arasındaki günlük canlı ağırlık
artışı (GCAADA-12, 6550)) değerlendirilmiştir. Dişi ve erkek malaklar için canlı ağırlığa ait
ortalamaları sırasıyla doğum ağırlığında; 29.97±0.063 ve 31.15±0.066 kg, altıncı ay ağırlığında;
101.67±0.312 ve 104.87±0.329 kg, on ikinci ay canlı ağırlığında; 156.38±0.467 ve
161.31±0.490 kg, doğum ile altıncı ay arası günlük canlı ağırlık artışında; 0.399±0.002 ve
0.409±0.002 g, altıncı ile on ikinci ay arası günlük canlı ağırlık artışında; 0.308±0.002 ve
0.317±0.002 g ve doğum ile on ikinci ay arası günlük canlı ağırlık artışında 0.346±0.001 ve
0.356±0.001 g olarak bulunmuştur. Araştırmada, tüm özellikler için varyans bileşenleri ve
genetik parametreler MTDFREML programı ile tahmin edilmiştir. DA, CA6, CA12, GCAADA-
6, GCAA6-12 ve GCAADA-12 büyüme özelliklerine ait kalıtım derecesi (h2
) sırasıyla 0.24, 0.15,
0.16, 0.15, 0.14 ve 0.15 olarak tahmin edilmiştir. Büyüme özellikleri arasındaki en yüksek
genetik korelasyon GCAADA-6 ile CA6 ve CA6 ile CA12 arasında 0.97 ve 0.88 olarak
gözlenmiştir. En yüksek fenotipik korelasyon ise GCAADA-12 ile CA12 ve GCAADA-6 ile DA
arasında 0.98 ve 0.97 bulunmuştur. DA, CA6 ve CA12 büyüme özellikleri için genetik yönelim
sırasıyla 0.0049, 0.06 ve 30.20 kg/yıl olarak belirlenmiştir. Sonuç olarak, hesaplanan varyans
unsurları, genetik parametreler ve damızlık değerlerinin Türkiye'de Anadolu mandası
populasyonlarında yapılacak ıslah çalışmalarında seleksiyon kriteri olarak kullanılabileceği ve
seleksiyondaki başarıyı arttırabileceği düşünülmektedir
Does Science Education Contribute To Citizenship Education In Turkey?
Get PDFThis research aims to explore the connections between science and citizenship education and how science education contributes to citizenship education in Turkey. To achieve these goals, we focused on two research questions: First, what does the science curriculum in Turkey encompass concerning citizenship education? Second, how do science educators perceive their role in contributing to citizenship education, and how do they foster students' citizenship skills? Multiple data sources were employed to provide comprehensive answers to these research questions. In this context, the science curriculum in Turkey was analyzed, and interviews were conducted with science educators using a semi-structured interview protocol. The data were processed using the Maxqda Qualitative Data Analysis Program and subjected to content analysis. The research findings underscore that there is a relationship between science education and citizenship education. Science courses have the potential to cultivate citizenship competencies. However, science educators feel that science education is falling short of meeting its citizenship objectives due to various challenges they encounter. It is essential to train and support teachers to seamlessly integrate citizenship skills into science education
Response to Letter to the Editor: Low-Dose Dextrose Prolotherapy as Effective as High-Dose Dextrose Prolotherapy in the Treatment of Lateral Epicondylitis? A Double-Blind, Ultrasound Guided, Randomized Controlled Study
Get PDFIn lateral epicondylitis, angiofibroblastic hyperplasia and poor scar tissue occur in response to recurring microtrauma in the tendon, and consequently, complete healing does not take place. In vitro studies using 50% dextrose as a proliferant have shown that exposure of tenocytes to dextrose elicited an inflammatory response through the upregulation of proinflammatory markers, including interleukin 8, cyclooxygenase 2, and prostaglandin 2, and downregulation of anti-inflammatory marker growth factor b
Photocatalytic Activity of Boron Doped CuO and Its Composite with Polyaniline
Get PDFThis study used a simple one-step technique to prepare boron-doped copper (II) oxide (CuO-B) nanoparticles, which were synthesized through the solution combustion method. The as-prepared CuO-B nanoparticles were compounded with the conducting polymer, polyaniline (Pani), in varying composition. This study revealed the effect of compounding with Pani on the photocatalytic activity of CuO-B. The photocatalytic activity was evaluated through the degradation of the methylene blue dye under visible light irradiation. The as-prepared CuO-B nanoparticles and their composites with Pani were characterized through Fourier-transform infrared spectroscopy, X-ray powder diffraction spectroscopy, fluorescence spectroscopy, scanning electron microscopy and UV–Vis absorption spectroscopy. When compared with CuO-B, Pani composites resulted in improved photocatalytic dye degradation efficiency due to the suppression of the recombination rate of the photoexcited charge carriers on CuO-B. The Pani composite with 80 wt.% CuO-B exhibited an 65.3% degradation of the model dye in 240 min, which was about 7% higher than that of CuO-B. A 1.2-fold increase in the reaction rate was obtained for the specified composite. The optical band gap of CuO-B increased to 1.40 eV when it was compounded with 20 wt.% Pani. In real wastewater environment, the dye degradation efficiency of CuO-B decreased from 57.9% to 51.9%. In addition, the dye degradation efficiency of four times of recycled CuO-B reduced to 33.7% in 240 min. © 2022 Taylor & Francis
Breastfeeding within the circle of motherhood, restriction, and patriarchy: A qualitative study
No full textOur purpose in the present study is to analyze the opinions of women regarding the factors that support and hinder their breastfeeding. This is a phenomenological and qualitative study. The present study included 32 breastfeeding women who live in different provinces in the Central Anatolia Region of Turkey. The data were collected using a semi-structured interview form and were evaluated using the content analysis method. Three themes and ten sub-themes about women’s experience on breastfeeding their babies and factors affecting their breastfeeding were found. The themes identified were: motherhood, restriction, patriarchy. Supplemental data for this article is available online at https://doi.org/10.1080/07399332.2021.1935958. © 2021 Taylor & Francis Group, LLC
Advanced tunability of optical properties of CdS/ZnSe/ZnTe/CdSe multi-shell quantum dot by the band edge engineering
Get PDFIn this study, the advanced manipulability of wave functions in a type-II multi-shell hetero-nanostructure (MS-HNS) and the tunability of radiative exciton lifetime over a wide range with and/or without changing in transition energies has been demonstrated by the band edge engineering. For this purpose, the electronic and optical properties of exciton (X) and biexciton (XX) in a spherical CdS/ZnSe/ZnTe/CdSe HNS have been explored in detail. In the calculations, effects of all Coulombic interactions between the charges have been taken into account on the wave functions. Moreover, in the case of XX, the exchange-correlation potential between the same charged particles has also been considered. The results have been presented as a function of CdS core radius and ZnSe shell thickness and the probable physical reasons have been discussed in detail
Application of CuO and its composite with polyaniline on the photocatalytic degradation of methylene blue and the Cr(VI) photoreduction under visible light
Get PDFCopper oxide (CuO) as the photocatalyst nanoparticle was prepared by the solution combustion technique. During the synthesis, iron atom source, which was iron nitrate, was added to the reaction medium to obtain iron doped CuO nanoparticles. In addition, the iron doped CuO nanoparticles were combined with the conducting polymer, which was polyaniline, through the in-situ polymerization technique. The chemical and crystal structure, optical property and the photocatalytic activity of the CuO nanoparticles and their composites were studied as a function the dopant atom concentration of CuO and the photocatalyst composition of the composites. The prepared samples were characterized by Fourier-transform infrared spectroscopy, X-ray powder diffraction, X-ray photoelectron spectroscopy, fluorescence spectroscopy, field emission scanning electron microscopy, energy dispersive X-ray (EDX) spectroscopy and UV-Vis absorption spectroscopy. The photocatalytic activity of the prepared samples was evaluated by the photocatalytic degradation of a model dye, methylene blue, under visible light irradiation. In addition, the Cr(VI) photoreduction efficiency of the prepared samples were studied. Iron atoms might enter into the substitutional sites of CuO. The iron atoms might act as a trapping center to capture the photoinduced charge carriers of CuO, promoting both the charge separation and the photocatalytic activities. The photocatalytic dye degradation efficiency and the Cr(VI) photoreduction efficiency of the iron doped CuO increased by almost 17% compared to undoped CuO. The composites with low polyaniline content might promote the charge separation because of the difference between the band potentials of CuO and polyaniline as shown in the graphical abstract. The composite with 80 wt.% of the iron doped CuO exhibited the highest photocatalytic dye degradation of almost 72% and the Cr(VI) photoreduction efficiency of almost 56%
Improvement of Face Recognition Performance using A New Hybrid Subspace Classifier
No full textMultiple classification systems play an important role in increasing recognition performance, especially when using heterogeneous classifiers that effectively improve performance. In this study, a new hybrid classifier was designed using heterogeneous Fisherface and discriminative common vector approach (DCVA) subspace recognition methods, which gave successful results in face recognition. While the classification process of DCVA is based on the common properties of signals belonging to the classes, the classification process of Fisherface is based on the different properties of signals. To create a hybrid classifier, called the Hybrid DCVA-Fisherface, the classifiers' decision rules were combined using the Minimum Proportional Score Algorithm and Recognition Update Algorithm. In addition to the proposed subspace classifiers, convolutional neural networks, Transform learning-Alexnet, Alexnet + SVM, and Alexnet + KNN were used for classification. Studies were conducted using the ORL, YALE, Extended YALE B and Face Research Lab London Set (FRLL). To better examine the efficiency of the algorithms, tests were also carried out by downsampling the images. When the experimental results were analysed, the proposed hybrid classifier gave higher recognition rates than all classifiers for ORL, YALE, and Extended YALE B. However, deep learning methods generally achieved better recognition performance than subspace classifiers for the FRLL database, which has more classes than other databases. © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature
An analysis of the effects of the Early Mathematics Intervention Program on early mathematics skills of pre-school children at risk
Get PDFSupporting all children, particularly children with special needs, in the field of mathematics is important for their development. Therefore, it is necessary to develop and implement the necessary early intervention programs in relation to mathematics education. Studies indicate that early mathematics education intervention programs provide an increase in children’s mathematical knowledge levels improving their mathematics performance. It is also reported that such programs are effective in increasing the mathematical achievement of children at risk and that their effects may last for a longer time. Therefore, it is considered important to support the mathematics skills of the children in the risk group with early mathematics intervention programs, to identify the children whose mathematical skills are deficient or who have not acquired these skills sufficiently in the early period. In this study the is aim to reveal the effectiveness of an intervention program developed in relation to the early mathematics skills to improve such skills of children in the pre-school period between 60-72 months of age, who are in the risk group in terms of mathematics skills. In this study, the multiple probe model inter-subjects, which is one of the single-subject research models, was used. The participants of the study were three kindergarten students from three different schools in Kırşehir, Türkiye. The study was carried out in the special education center located in the said city. The data collection tool is an early mathematics intervention program developed for teaching early mathematics skills. When we look at the findings obtained from the study in general, it appears that the early mathematics intervention program was effective in improving the early mathematics skills of all three students. For this reason, priority should be given to supporting the development of early mathematics skills in all children attending pre-school education institutions. © 2023, Ozgen Korkmaz. All rights reserved
The Determination of Molecular and Toxicological Mechanisms of Cucur-bitacin E in Model Organism Drosophila melanogaster and Various Cancer Cell Lines: Molecular Modelling, Docking and Dynamic Simulation Studies
No full textIntroduction: Cucurbitacins are one of the most important components of Ecballium elaterium. Among the cucurbitacins, Cucurbitacin E was the first to be isolated. This study fo-cused on screening the anticancer and insecticidal potential of Cucurbitacin E by the in-vitro, in-vivo, and in-silico methods. Methods: In the study, toxicity analysis of Cucurbitacin E was determined on HeLa, Caco 2 cancer cell lines and D. melanogaster. While the expression levels of the BAD, BCL-2, AKT-1 and H-purine genes of cancer cell lines were determined, the CG15530, BUFFY, AKT-1 and Purine genes of D. melanogaster were determined by RT-PCR. Besides, molecular docking and dynamic properties of Cucurbitacin E with human and insectoid enzymes were presented in silico. Results: The IC50 value of Cucurbitacin E in the HeLa ovarian and Caco 2 colon cancer cell lines was determined to be 42 ug/ml and 85 ug/ml, respectively. The LC50 and LC99 doses for fruit flies were determined to be 47,693 µg/ml and 133,251 µg/ml, respectively. Gene expression analysis revealed that Cucurbitacin E showed the greatest effect on Purine and AKT-1 genes in D. melano-gaster. We analyzed all genes by Western blot but did not detect significant changes in genes oth-er than H-purine. In silico studies revealed that the Purine protein of D. melanogaster had the highest bonding energy with Cucurbitacin E as a ligand. Similarly, Cucurbitacin E showed great affinity towards H-purine (-10.2 kcal/mol). Molecular dynamics simulation studies were also performed to determine the stability of the dynamic process. Conclusion: As a result of our in vivo, in vitro and bioinformatic analyzes, it has been seen that Cucurbitacin E is effective against the cancer types and model insects studied. © 2023 Bentham Science Publishers