SUPPORTİNG THE WRİTİNG SKİLLS OF PRİMARY SCHOOL THİRD GRADE GİFTED STUDENTS WİTH ACTİVİTY-BASED DİGİTAL STORYTELLİNG: ACTİON RESEARCH

The aim of this research is to find out how activity-based digital storytelling affects the writing and digital storytelling-making skills of gifted students. In this research, which is designed as an action research, the researcher was the practitioner and also the conductor of the research. The research was conducted in the first semester of the 2018-2019 academic year in the Science and Art Center, where talented students were studying. The study group consists of 7 gifted third-grade students who continue the support education program. The implementation of the action plan took 10 weeks. The data were collected by Student Information Form, 6 + 1 Analytical Writing and Evaluation Scale, Digital Storytelling Evaluation Rubric, interview forms, researcher and student diary. According to the results of the study, the action plan applied improved the writing skills of the students. It was observed that the writing skills of the students improved according to the scores of the students during the pre-evaluation and final evaluation and application process. It was seen that the digital story formation skills of the students improved during the pre-evaluation and final evaluation and application process. According to the opinions of the students, it was determined that with the activity-based digital storytelling activities, the students learned how to write the text types, they liked writing and they found the studies entertaining and these studies improved their writing skills. In addition, it was that writing activities make writing easier, develop imagination, and digital storytelling studies also helped to see and correct errors in writing, and to write more attentive and carefully. In this study, in which action research was used, as the results are not generalized, the activity-based digital storytelling studies can be applied with different methods and the results can be investigated. Additionally, application oriented research can be increased to improve the writing skills of gifted students.  Article visualizations

The Effects of Team Enablers and Team Cohesion on Project Team Success

The aim of this study was to explore the influences of team enablers (team autonomy and organizational support) and team cohesion dimensions on project team success and to test the mediating effect of team cohesion dimensions in this relation. PLS-SEM was implemented in the study carried out in 110 project teams with 343 team members in a multinational financial institution. The measurement model was tested for validity and reliability. Because the analysis was performed at team level, aggregation of the survey responses to team level were done by calculation of arithmetic mean. The findings of the research revealed that organizational support was a significant antecedent of team task cohesion and team effectiveness. Team task cohesion mediated the link between organizational support and team effectiveness. Although the significant direct positive influences of team autonomy on success dimensions were confirmed, it appeared that none of the dimensions of team cohesion was influenced by team autonomy. In line with the literature, positive influences of task cohesion on  effectiveness and innovation were supported, but the influence of social cohesion on team success was immaterial

The Effects of Team Enablers and Team Cohesion on Project Team Success

The aim of this study was to explore the influences of team enablers (team autonomy and organizational support) and team cohesion dimensions on project team success and to test the mediating effect of team cohesion dimensions in this relation. PLS-SEM was implemented in the study carried out in 110 project teams with 343 team members in a multinational financial institution. The measurement model was tested for validity and reliability. Because the analysis was performed at team level, aggregation of the survey responses to team level were done by calculation of arithmetic mean. The findings of the research revealed that organizational support was a significant antecedent of team task cohesion and team effectiveness. Team task cohesion mediated the link between organizational support and team effectiveness. Although the significant direct positive influences of team autonomy on success dimensions were confirmed, it appeared that none of the dimensions of team cohesion was influenced by team autonomy. In line with the literature, positive influences of task cohesion on effectiveness and innovation were supported, but the influence of social cohesion on team success was immaterial

Obsessive- compulsive disorder in the parkinson disease

Purpose: Obsessive disorder assessment using Leyton Obsessional Inventory was done in patients with idiopathic Parkinson's Disease. Materials and Methods: Fifty patients diagnosed with Parkinson's disease according to United Kingdom Parkinson's Disease Society Brain Bank (UK-PDSBB) criteria and 37 healty individuals were included in the study.All subjects were assesed by the same psychiatrist using the Leyton obsessional inventory. Results: The Leyton obssesional scores were higher in the Parkinson's disease group than in the control group (p<0,001). In addition, correlation was found between the severity of disease and degree of obsession (p:0,771). Conclusion: Parkinson's disease is a neurodejenerative disorder with predominant motor symptoms but with progression , nonmotor symptoms also emerge. The patient's qualty of life may be much affected by these nonmotor symptoms. Diagnosis and treatment of the pyschiatric symptoms in Parkinson's disease may help improve life quality

Recent Advances in Health Biotechnology During Pandemic

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in 2019, cut the epoch that will make profound fluctuates in the history of the world in social, economic, and scientific fields. Urgent needs in public health have brought with them innovative approaches, including diagnosis, prevention, and treatment. To exceed the coronavirus disease 2019 (COVID-19) pandemic, various scientific authorities in the world have procreated advances in real time polymerase chain reaction (RT-PCR) based diagnostic tests, rapid diagnostic kits, the development of vaccines for immunization, and the purposing pharmaceuticals for treatment. Diagnosis, treatment, and immunization approaches put for- ward by scientific communities are cross-fed from the accrued knowledge of multidisciplinary sciences in health biotechnology. So much so that the pandemic, urgently prioritized in the world, is not only viral infections but also has been the pulsion in the development of novel approaches in many fields such as diagnosis, treatment, translational medicine, virology, mi- crobiology, immunology, functional nano- and bio-materials, bioinformatics, molecular biol- ogy, genetics, tissue engineering, biomedical devices, and artificial intelligence technologies. In this review, the effects of the COVID-19 pandemic on the development of various scientific areas of health biotechnology are discussed

Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean

We present a spatiotemporal picture of human genetic diversity in Anatolia, Iran, Levant, South Caucasus, and the Aegean, a broad region that experienced the earliest Neolithic transition and the emergence of complex hierarchical societies. Combining 35 new ancient shotgun genomes with 382 ancient and 23 present-day published genomes, we found that genetic diversity within each region steadily increased through the Holocene. We further observed that the inferred sources of gene flow shifted in time. In the first half of the Holocene, Southwest Asian and the East Mediterranean populations homogenized among themselves. Starting with the Bronze Age, however, regional populations diverged from each other, most likely driven by gene flow from external sources, which we term “the expanding mobility model.” Interestingly, this increase in inter-regional divergence can be captured by outgroup-f$_3$-based genetic distances, but not by the commonly used F$_{ST}$ statistic, due to the sensitivity of F$_{ST}$, but not outgroup-f$_3$, to within-population diversity. Finally, we report a temporal trend of increasing male bias in admixture events through the Holocene

‘Hareket’, ‘duyumsama’, ve ‘anı’ yoluyla ‘zaman’ içinde ‘çoğul’ mimari deneyimleme.

From antiquity to the present, the supremacy of vision is an undeniable fact, which, however, shows an alteration in modern times due to the technological improvements. This alteration in the supremacy of vision has also affected architecture, causing it to be experienced merely by its appearance. Yet, this thesis argues that it is not sufficient to understand and experience architecture by its appearance. Accordingly, this thesis aims to voice criticism towards this supremacy of vision in experiencing architecture, laying stress on the reasons why „solely‟ vision is inadequate. As opposed to the supremacy of vision, the thesis argues that understanding as well as experiencing a building occurs with „dwelling‟. Benefiting from the field of phenomenology, the thesis introduces an interpreted understanding of dwelling, namely „plural architectural experience‟ through „movement‟, „sensation‟ and „memory‟, progressing in „time‟. To concretize these defined concepts, the plural architectural experience will be narrated via METU Faculty of Architecture. By this means, the importance of this plural experience is highlighted in order to create awareness for those creating and for those experiencing.  M.Arch. - Master of Architectur

Bioinformatics based metabolic network reconstruction of levan producing halomonas Smyrnensis AAD6

ÖZETLEVAN ÜRETEN Halomonas smyrnensis AAD6 İÇİN BİYOİNFORMATİK TEMELLİ METABOLİK AĞYAPI OLUŞTURULMASIHalomonas smyrnensis AAD6, gram negatif, aerobik, ekzopolisakkarit üreten halofilik bir bakteridir. Bakterinin gıda, yem, kozmetik, ilaç ve kimya endüstrisinde göze çarpan özelliklerinden dolayı pek çok kullanım alanı bulunan fruktoz homopolimeri olan levanı yüksek miktarda ürettiği bilinmektedir. Daha önce, Halomonas smyrnensis AAD6’ nın tüm genom sekansı iki farklı yeni nesil dizileme teknolojisi ile gerçekleştirildi. Halomonas smyrnensis AAD6’ nın genomik, biyokimyasal ve fiziksel özelliklerine dayanarak otomatik olmayan fakat yinelemeli bir işlemle metabolik ağyapısı oluşturuldu. Daha sonra metabolik ağyapı, levan biyosentezi ile ilgili metabolik yol izlerinin gen-enzim-reaksiyon ilişkisi yardımıyla stokiometrik bir modele dönüştürüldü. Bu model 429 tepkime ve 383 metabolitten oluşmaktadır. Büyüme ve levan sentezi için karbon kaynağı olarak sükrozun kullanıldığı deneysel verilere karşı, model akı denge analizi kullanılarak geniş kapsamlı olarak doğrulandı. Farklı optimizasyon algoritmaları ve hedef fonksiyonları kullanarak bilgisayar ortamındaki benzetimler aracılığıyla, levan üretimini artırıcı optimum stratejiler üzerine hipotezler üretildi. Gen delesyon ve ekspresyon hedefleriyle büyüme ortamı bileşenlerinin optimizasyonunu hedef alan 495 metabolizma mühendisliği stratejileri elde edildi. Bu çalışma, levan üreten mikroorganizmanın ilk genom ölçekli metabolik ağyapı modelini sunmaktadır ve levan biyosentezini artırıcı stratejiler önermektedir. Ayrıca, bu sonuçlar levan üretimini artırmak için sistem biyolojisi yaklaşımı ve metabolizma mühendisliği stratejilerinin tasarlanması doğrultusunda halofilik bakteri ile ilgili çalışmaları hızlandıracaktır. ABSTRACTBIOINFORMATICS BASED METABOLIC NETWORK RECONSTRUCTION OF LEVAN PRODUCING Halomonas smyrnensis AAD6Halomonas smyrnensis AAD6 is a gram negative, aerobic, exopolysaccaride-producing and moderately halophilic bacterium. The bacterium is known to produce high levels of levan, which is a fructose homopolymer with many potential uses in foods, feeds, cosmetics, pharmaceutical and chemical industries due to its outstanding properties. Previously, the whole genome sequence analysis of Halomonas smyrnensis AAD6 was performed using two different next-generation sequencing technologies. Based on the genomic, biochemical and physiological information on Halomonas smyrnensis AAD6, the metabolic network was constructed via a non-automated but iterative process. Then, the metabolic network is converted into a stoichiometric model via the gene-enzyme-reaction associations of the metabolic pathways regarding levan biosynthesis. This model accounts for 429 reactions, and 383 metabolites. Using flux balance analysis, the model was extensively validated against experimental data on the use of sucrose as carbon source for both growth and levan synthesis. Via in silico simulations using different optimization algorithms and objective functions, hypotheses on the optimal strategies for enhanced levan production were generated. 495 metabolic engineering strategies were obtained, pointing out gene knockout and overexpression targets as well as optimization of growth medium components. This work presents the first genome-scale metabolic network of the levan-producing microorganism and offers strategies for enhanced levan biosynthesis. In addition, these results will accelerate the research on halophilic bacteria towards systems biology approaches and design of metabolic engineering strategies to enhance levan production