Sivas Cumhuriyet Üniversitesi Kurumsal Akademik Arşivi - Sivas Cumhuriyet University Open Access System
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Structural health monitoring using triaxis accelerator
No full textGünümüzde meydana gelen en büyük doğal afetlerden olan deprem faktörü zaman zaman hem maddi hem manevi kayıplara neden olmaktadır. Bunun önüne geçebilmek için deprem oluşumunun iyi bilinmesi ve iyi analiz edilmesi gerekir. Deprem dediğimiz şey yeryüzü plakalarının hareketliliği ile oluşan ve bunun sonucunda mikro ve makro ölçekte dalgalar üreten bir mekanizmadır. Bu yapıyı iyi anlamak için kullanılabilecek en iyi yöntemlerden biri de bu titreşimleri anlık olarak takip etmek ve iyi yorumlamak gerekir. Makro ölçekte meydana gelen titreşimler yıkıcı sonuçlar doğurabildikleri için öncesinde mikro ölçekte meydana gelen titreşimlerin bir yapı üzerindeki etkisi tartışılmalıdır. Bu makalede bina yapı sağlığını (BSH) anlamak için gerçekleştirilmiş deney sonuçları tartışılmıştır. Gerçekleştirilen deneyde üç eksenli ivme sensörü (MEMS) kullanılarak standart bir binanın küçük ölçekli bir modeli ile gerçek koşullarda test edilmiştir. Buradaki amaç sensörden gelen titreşim verileriyle bir binanın sağlıklı olup olmadığına karar verilmek istenmiştir. Özellikle deprem sonrası binada meydana gelmiş ancak gözle görülemeyecek düzeyde oluşmuş veya gözden kaçan yapısal hasarları tespit etmek amaçlanmıştır. Kurulan sistem elde ettiği verileri gerçek zamanlı olarak internet ortamına aktararak (IOT) bina sağlığının anlık olarak takip edilmesi sağlanmıştır.The earthquake factor, which is one of the biggest natural disasters that occur today, sometimes causes both material and moral losses. In order to prevent this, earthquake formation must be well known and well analyzed. What we call an earthquake is a mechanism that occurs with the movement of the earth's plates and produces waves on micro and macro scales as a result. One of the best methods that can be used to understand this structure well is to follow these vibrations instantly and interpret them well. Since it is known that vibrations occurring on a macro scale have destructive results, the effect of vibrations occurring on a structure on a micro scale should be discussed beforehand. In this article, the results of experiments carried out to understand building structural health (BSH) are discussed. In the experiment carried out, a three-axis acceleration sensor (MEMS) was used and a small-scale model of a standard building was tested in real conditions. The aim here was to decide whether a building is healthy or not with the vibration data received from the sensor. In particular, it was aimed to detect structural damages that occurred in the building after the earthquake but were invisible to the eye or were overlooked. The established system transferred the data it obtained to the internet environment in real time (IOT) and provided instant monitoring of building health
Design of Dual Space Inquiry framework for facilitating flexible learning in digital technology era
No full textMixed learning that offers flexibility is a current requirement. However, the challenge lies in ensuring that these approaches effectively accommodate interactive and practical elements, especially in physics education. This research aims to design a conceptual framework of the Dual Space Inquiry for facilitating flexible learning in basic physics course. An educational design research (EDR) approach was used to develop and validate the Dual Space Inquiry framework comprising three phases: analysis and exploration; design and construction; and evaluation and reflection. This research involved 253 students and 20 experts and practitioners. The findings highlighted the urgency of implementing a mixed learning framework that combines face-to-face and online learning methods in physics education contexts to optimize learning outcomes. These results became the basis for the design of the Dual Space Inquiry Framework which emphasizes flexibility, humanism, and student-centered. Furthermore, the results of expert and practitioner judgment showed that the framework's validity is in the high category (v-values=0.770). Based on the results, it is concluded that an approach that combines online and offline learning with inquiry activities integration in a balanced manner is recommended for optimal learning outcomes for physics education. The Dual Space Inquiry Framework, with its high validity, is a valuable framework for lecturers in physics and other science fields to enhance learning quality and adapt to the digital technology era. © 2024 The Author(s)Research and Community Service Institute of Universitas Negeri Padang, (1084/UN35.15/LT/2023
Sinapic acid alleviates glutamate-induced excitotoxicity by inhibiting neuroinflammation and endoplasmic reticulum stress pathway in C6 glioma cells
No full textSinapic acid (SA) is a polyphenol compound derived from hydroxycinnamic acid found in various foods such as cereals and vegetables and has antioxidant, anti-inflammatory and neuroprotective properties. However, its effects on glutamate-induced excitotoxicity, which is important in neurodegenerative diseases, have not been fully elucidated. This study aimed to investigate the effect of SA on glutamate excitotoxicity and the possible role of proinflammatory cytokines and the endoplasmic reticulum (ER) stress pathway. In the study, C6 rat glioma cell line was used and the cells were divided into 4 groups: control, glutamate, SA and glutamate+SA. Cells were treated with 10 mM glutamate for 24 h to induce excitotoxicity. Additionally, SA was applied to cells at concentrations of 12.5 to 100 mu M to examine its effects on glutamate excitotoxicity. XTT test was used for cell viability, and apoptotic cells were determined by immunofluorescence and flow cytometry methods. Proinflammatory cytokines (tumor necrosis factor-alpha, TNF-alpha and interleukin-beta, IL-1(3), ER stress markers (glucose regulatory protein 78, GRP78; C/EBP homologous protein, CHOP and activating transcription factor-4, ATF-4) and caspase-3 was used to measure ELISA method. Findings indicated that SA (50 mu M) significantly increased cell viability against glutamate-induced excitotoxicity (p < 0.05). Also, SA caused a significant decrease in TNF-alpha, IL-1(3, GRP78, CHOP, ATF-4 and caspase-3 levels in glutamate-treated cells (p < 0.05). Flow cytometry and immunofluorescence staining results showed that SA reduced apoptosis in C6 glioma cells. In conclusion, our findings suggested that SA attenuated glutamate-induced excitotoxicity by preventing apoptosis through reducing proinflammatory cytokines and ER stress protein levels
Tracking puppy development: automated analysis and qualitative behavioral assessment in repeated open field tests (vol 49, 35, 2024)
No full text[No abstract available
Axillary artery pseudoaneurysm secondary to hereditary multiple exostoses
No full text[No abstract available
Energy Demand and CO2 Emission Forecast Model for Turkey with Deep Learning and Machine Learning Algorithms
No full textThis study has conducted a forecast analysis of the energy demand and carbon dioxide (CO2) emissions of Turkey, developing country. Considering Turkey's rapidly increasing energy demand, various economic and social parameters have been used for the years 1990-2024. Both machine learning and deep learning methods have been applied, and artificial neural network (ANN), convolutional neural network (CNN), recurrent neural network (RNN), long short-term memory (LSTM), and linear regression (LR) algorithms have been used for two models. The performance of these models has been assessed using various error metrics. The ANN has demonstrated the highest accuracy in modelling energy demand, achieving a coefficient of determination of 98.89 %, while the RNN has shown the best performance in modelling CO2 emissions, with a coefficient of determination of 96.80 %. The findings have shown that the growth rates in energy demand and CO2 emissions are high in the early years but slowed in the following years. However, it has been determined that the general trend continued to increase. The study emphasises the need for Turkey to diversify its energy sources and increase the use of renewable energy to meet its increasing energy demand. It also has concluded that accelerating efforts to achieve net zero emission targets are critical to long-term energy security and environmental sustainability
KENARLARINDA ISINMIŞ EŞKENAR ÜÇGEN ENGEL ÇİFTİ BULUNAN DİKEY BİR KANALDAKİ KARIŞIK TAŞINIM ISI TRANSFERİNİN ARTIRILMASININ İNCELENMESİ
No full textSTBMYO2024005In this study, mixed convection heat transfer and fluid movement around the obstacles were numerically investigated in a channel where electronic barrier components have a total of four equilateral triangular geometries with constant heat flux, two symmetrically on parallel vertical plates. Using the Ansys-Fluent computer program, a numerical analysis was carried out by solving steady, laminar and twodimensional continuity, momentum and energy equations. Flow-directing fins were placed on the upper entrance surfaces of the channel at angles of 30o, 45o and 60o to direct the flow to the heated obstacle elements in the channel. Except for the obstacle element, other surfaces of the channel and flow directors are adiabatic. Water with an inlet temperature of 293 K was used as the working fluid in the channel. While the Reynolds number (Re) values in the study were 100, 300 and 500; the modified Richardson number (Ri*) range was taken as 50-150 and the Flow Transition Distance (FTD) ratios were taken as 2 and 4. The study's results were compared with the experimental and numerical results in the literature and found to be quite compatible. For Ri*=50, Re=100 and AGM=4, the Num value obtained in the 60o-angle channel was 32.88% higher than in AGM=2. Additionally, ∆p values were found to be 9.06%, 9.04% and 9.66% higher in cases with 30o, 45o and 60o angle fins, respectively, compared to the case without fins for FTD=2, Re=500 and Ri*=150.Bu çalışmada, birbirine paralel dikey levhalar üzerinde ikişer tane olmak üzere simetrik şekilde toplamda dört tane eşkenar üçgen geometrili sabit ısı akılı elektronik engel bileşenlerinin bulunduğu bir kanalda karışık taşınımla ısı transferi ve engeller etrafındaki akışkan hareketi sayısal olarak araştırılmıştır. Sayısal inceleme, zamandan bağımsız, laminer ve iki boyutlu olarak süreklilik, momentum ve enerji denklemlerinin Ansys-Fluent bilgisayar programı kullanılarak çözülmesiyle yapılmıştır. Akışın kanal içerisindeki ısınmış engel elemanlarına yönlendirilmesi amacıyla kanalın üst giriş yüzeylerine 30o, 45o ve 60o açılarında akış yönlendirici kanatçıklar yerleştirilmiştir. Kanalın engel elemanı hariç diğer yüzeyleri ve akış yönlendiriciler adyabatiktir. Kanalda çalışma akışkanı olarak 293 K giriş sıcaklığında su kullanılmıştır. Çalışmadaki Reynolds sayısı (Re) değerleri 100, 300 ve 500 iken; değiştirilmiş Richardson sayısı (Ri*) aralığı 50-150 ve Akış Geçiş Mesafesi (AGM) oranları 2 ve 4 olarak alınmıştır. Çalışmanın sonuçları, literatürdeki deneysel ve sayısal sonuçlarla karşılaştırıldığında oldukça uyumlu oldukları görülmüştür. Ri*=50, Re=100 ve AGM=4 için 60o açılı kanalda elde edilen Num değerinin AGM=2’deki değerinden %32,88 daha fazla olduğu belirlenmiştir. Ayrıca, AGM=2, Re=500 ve Ri*=150 için kanatçıksız durumla kıyaslandığında 30o, 45o ve 60o açılı kanatçıklı durumlarda ∆p değerlerinin sırasıyla %9,06, %9,04 ve %9,66 daha yüksek oldukları bulunmuştur.Sivas Cumhuriyet Üniversitesi Bilimsel Araştırma Projeleri (CÜBAP) birim
Random alloy growth of AlAs0.08Sb0.92 on GaSb under high Group-V flux condition
No full textThe growth of AlAs(x)Sb(1-x )epilayers with x<0.1 is crucial for various optoelectronic device applications. However, achieving the desired alloy composition and lattice-matched condition remains challenging. In this study, the epitaxial growth of the random alloy AlAsSb on GaSb was investigated using molecular beam epitaxy. The objective was to determine the optimal growth condition to obtain AlAs0.08Sb0.92 on GaSb (lattice-matched to GaSb) with a high growth rate and under a high group-V/III beam equivalent pressure (BEP) ratio. The growth parameters, including the group-V/III BEP ratio, growth rate, and temperature, were studied to monitor the change in the structural properties of the AlAsSb epilayer. It was shown that the As incorporation in AlAsSb was higher than expected at high growth rate and under high Sb BEP condition. The results demonstrated that increasing the growth temperature while decreasing the As BEP did not significantly improve the crystal quality where the optimization of group-V/III BEP ratio and As BEP is effective to obtain AlAs0.08Sb0.92 on GaSb and enhance the crystal quality. The findings provide valuable insights into the growth dynamics of AlAsSb to achieve high quality and lattice-matched epilayers grown on GaSb which is well-suited for a range of optoelectronic applications.Scientific and Technological Research Council of Turkey [121F168]; Council of Higher Education [(Y OK) 100/2000 PhD]; Scientific and Techno-logical Research Council of Turkey [(TUBITAK-B IDEB) 2211-C]; Eskisehir Technical University [23DRP024]This study was supported by the Scientific and Technological Research Council of Turkey TUBITAK (Grant No. 121F168) and by Eskisehir Technical University (Grant No. 23DRP024) . Author Ays e Ayguel Erguerhan have been supported by the Council of Higher Education (Y OK) 100/2000 PhD Scholarship and the Scientific and Techno-logical Research Council of Turkey (TUBITAK-B IDEB) 2211-C
Do Geopolitical Risks Affect Monetary Policies? Evidence From Türkiye with The TVP-VAR Method
No full textBu çalışma, Türkiye'nin jeopolitik riskleri ile para politikası arasındaki etkileşime odaklanarak literatürdeki boşluğu doldurmayı amaçlamaktadır. Bu amaçla çalışmada, Şubat 2012-Ağustos 2024 dönemine ait aylık veriler kullanılarak jeopolitik risklerin kredi piyasası, para arzı ve döviz kuru gibi ekonomik göstergeler üzerindeki etkisinin zaman içinde nasıl değiştiği incelenmiştir. Modelde yer alan değişkenler Zamanla Değişen Parametreli Vektör Otoregresyon (TVP-VAR) yaklaşımı kullanılarak analiz edilmiştir. Bulgular, kredi hacminin sistem içindeki etkileşimin ana merkezi olduğunu ortaya koymaktadır. M1 para arzı ve reel efektif döviz kuru ise daha çok oynaklık alıcıları olarak konumlanmakta ve oynaklık aktarımı sınırlı kalmaktadır. Jeopolitik riskin ise büyük ölçüde kendi iç oynaklığından etkilenmesi ve diğer değişkenler üzerinde sınırlı etki göstermesi, jeopolitik riskin ekonomik göstergeler üzerindeki doğrudan etkisinin sınırlı kaldığını göstermektedir. Genel olarak, çalışmanın sonuçları kredi hacmi, para arzı ve döviz kurları arasındaki bağlantıları inceleyerek ekonomi politikalarının etkisine ilişkin değerli bilgiler sunarken, jeopolitik riskin nispeten sınırlı etkisinin de altını çizmektedir.This study aims to fill gap in the literature by focusing on the interaction between Türkiye's geopolitical risks and monetary policy. For this purpose, the study examines how the impact of geopolitical risks on economic indicators such as the credit market, money supply, and exchange rates has changed over time, using monthly data from February 2012 to August 2024. The variables included in the model were analyzed using the Time-Varying Parameter Vector Autoregression (TVP-VAR) approach. The findings reveal that credit volume is the main center of interaction within the system. The M1 money supply and the real effective exchange rate, on the other hand, are positioned more as volatility receivers, with limited volatility transmission. Geopolitical risk, however, is largely influenced by its own internal volatility and exerts limited impact on other variables, indicating that the direct effect of geopolitical risk on economic indicators remains limited. Overall, the study results provide valuable insights into the influence of economic policies by examining the links among credit volume, money supply, and exchange rates, while also highlighting the relatively limited impact of geopolitical risk
Development and psychometric evaluation of the artificial intelligence attitude scale for nurses
No full textBackground: Since artificial intelligence is transforming healthcare, targeted interventions aimed at optimizing its integration and use in clinical settings requires the assessment of nurses’ attitudes towards AI. Aim: To develop and validate an Artificial Intelligence Attitude Scale specifically for Turkish nurses. Method: This methodological study was conducted between October 2024 and December 2024, and its sample consisted of 678 nurses working in Turkey. The item pool was developed through a comprehensive literature review. Data analysis included descriptive statistics, item analysis, and exploratory and confirmatory factor analyses, as well as assessments of convergent and divergent validity, correlation analysis, internal consistency reliability, and test-retest reliability. Results: The content validity index for the items ranged from 0.85 to 1.00. Exploratory factor analysis revealed that the eigenvalues for four factors were greater than one, and these four factors accounted for 77.28% of the total variance. The scale demonstrated an acceptable model fit, with a goodness of fit index of 0.921 and a root mean square error of approximation (RMSEA) of 0.064. Cronbach’s alpha coefficients ranged from 0.93 to 0.95 across the subscales, indicating high internal consistency, with the scale showing convergent and divergent validity. In addition, the Artificial Intelligence Attitude Scale for Nurses was found to have high test-retest reliability. This study may offer valuable insights into nurses’ attitudes toward digital technologies, thereby informing the trajectory of digital transformation in healthcare services. © The Author(s) 2025