Artvin Coruh University

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    Compensation effect of wages on decent work: A study on seafarers attitudes

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    The poor working conditions of the maritime profession have a negative impact on the physical and mental health of seafarers. The result of this causes a shortage of qualified seafarers. Many studies in the literature propose a high-paying employment strategy to overcome this shortage. However, only higher salaries cannot guarantee decent work conditions; other basic governing principles and rights within the working life have critical roles also. In this context, solely evaluating the effects of salary would fail to completely identify the underlying problem and prevent generalization of the study results to all seafarers. In this study, the dimensions of the Decent Work Scale (DWS) were included to examine the problem in a comprehensive manner. This was coupled by examination of the effects of the adequate compensation (AC) attitudes of the participating seafarers, all of whom were qualified according to the requirements of the flag state and working on merchant ships, on their decent work perceptions. The results indicated that the seafarers’ AC attitudes had an impact on their perceptions of some dimensions of DWS as safe conditions, access to healthcare, rest periods, and value

    Monitoring total water storage changes with GRACE mission and GLDAS model and effect of climatic factors on these changes: case study in Konya Basin

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    Son yıllarda gözlemlenen iklim değişimleri, su kaynaklarının etkin kullanımını gerektirmektedir. Bu bakımdan sürdürülebilir su yönetimi için izlenen politikalar, su hareketliliğinin sürekli izlenmesini zorunlu kılmaktadır. Su kaynaklarının takibini, trend kestirimlerini ve su alanlarındaki değişimin görselleştirilmesine yönelik harita üretimini, son yıllarda uzaktan algılama teknolojisi ile gerçekleştirilebilmek mümkündür. Özellikle uydu gravimetrisi ve global hidrolojik modellerin entegrasyonu ile bu çalışmalar görece hızlı ve düşük maliyetle yürütülebilmektedir. Bu çalışmada GRACE (Gravity Recovery and Climate Experiment) uydu misyonu ve GLDAS (Global Land Data Assimilation System) kara hidroloji model verileri kullanılarak Konya havzasının bulunduğu bölgede su kütlesi değişimleri (TWSA: Total Water Storage Anomaly) irdelenmiştir. Ayrıca iklim değişimlerinin sonuçlar üzerindeki kısa ve uzun dönemdeki etkileri araştırılmıştır. Elde edilen sonuçlar, 2002-2020 yılları arasında çalışma bölgesindeki yeraltı su kütlesi (YSK) ve buna bağlı olarak toplam su kütlesi değişimlerinin uzun dönemde negatif yönlü trende sahip olduğunu göstermektedir. Bununla birlikte, TWSA ile iklim değişkenlerinden sıcaklık ve yağış faktörlerinin iki ve üç aylık gecikme dönemlerinde yüksek korelasyona sahip olduğu anlaşılmaktadır.The climate changes observed in recent years require the efficient use of water resources. In this respect, policies followed for sustainable water management necessitate continuous monitoring of water mobility. In recent years, it is possible to produce maps for the monitoring of water resources, trend estimations and visualization of changes in water areas, with remote sensing technology. Especially with the integration of satellite gravimetry and global hydrological models, these studies can be carried out relatively quickly and at low cost. In this study, water storage changes (TWSA: Total Water Storage Anomaly) in the region of Konya basin were evaluated using the GRACE (Gravity Recovery and Climate Experiment) satellite mission and GLDAS (Global Land Data Assimilation System) data. In addition, the short and long term effects of climate changes on the results have been investigated. The results show that between 2002 and 2020, groundwater and, accordingly, the total water storage changes have a negative trend in the long term, in the study area. Additionally, it can be deduced that TWSA and climatological variables including precipitation and temperature have a high correlation at 2- and 3-month lags

    Prediction of optimum CNC cutting conditions using artificial neural network models for the best wood surface quality, low energy consumption, and time savings

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    This study aimed to predict the CNC cutting conditions for the best wood surface quality, energy, and time savings using artificial neural network (ANN) models. In the CNC process, walnut, and ash wood were used as materials, while three different cutting tool diameters (3 mm, 6 mm, and 8 mm), spindle speed (12000 rpm, 15000 rpm, and 18000 rpm), and feed rate (3 m/min, 6 m/min, and 9 m/min) were determined as cutting conditions. After the cutting processes were completed with the CNC machine, energy consumption and processing time were determined for all groups. Surface roughness and wettability tests were performed on the processed wood samples, and their surface qualities were determined. The experimentally obtained data were analysed in ANN, and the models with the best performance were obtained. By using these prediction models, optimum cutting conditions were determined. Using the findings of the study, the optimum cutting condition values can be determined for walnut and ash wood with the smoothest and best wettable surface. Furthermore, in CNC processes using such materials, minimum energy consumption and shorter processing time can be obtained with optimum cutting conditions

    The effects of GA3 and storage time on the germination of Epigaea gaultherioides (Ericaceae) seeds

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    Turkey is a country with diverse plant species and has significant potential in landscape planning. Epigaea gaultherioides (Boisse et Bal.) Takht. is a relic of the Black Sea (Euxine) province, aesthetic, and functional species indigenous to Northeastern Turkey and under the threat of extinction. The species should be cultured to ensure the permanence of the species with ex situ methods and employed in landscape planting design. The present study aimed to determine the effects of gibberellic acid (GA3) and cold storage time on seed germination performance in E. gaultherioides. Cold storage was applied to the seeds at +4°C for 16 and 28 months and subsequently the seeds were soaked in GA3 (0, 100, 500 and 1,000 ppm) solutions for 24 hours. The findings indicated that E. gaultherioides seeds that were not treated with GA3 solutions did not germinate. However, it was determined that germination was low in seeds treated with 500 ppm GA3, and 80% of the seeds germinated when treated with cold storage at 25°C (24 h dark) for 16 months. The ANOVA revealed that there were statistically significant differences between germination percentage and mean germination times for various gibberellic acid doses and cold storage – time processes

    Evaluation of social media posts for touristic places with artificial ıntelligence methods: the case of Artvin province

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    Sosyal medya günümüzde birçok alanda olduğu gibi turizm alanında da kullanılmakta ve bu kullanım neticesinde büyük miktarda veri açığa çıkmaktadır. Bu veriler hem turizm tüketicileri için hem de turizm yöneticileri için yararlı bilgiler içermektedirler. Ancak sosyal medya paylaşımlarının farklı türlerde veriler içermesi bu verileri analiz etmeyi ve verilerden anlamlı bilgiler elde etmeyi zorlaştırmaktadır. Bu bilgi keşfi süreci için geleneksel analiz yöntemlerinin ötesinde yöntemlere ihtiyaç duyulmaktadır. Bu çalışmada turistlerin ziyaret ettikleri yerlere ilişkin sosyal medya ortamında paylaştıkları yorumlar ve fotoğraflar üzerinde duygu durumu tespiti yapmak amaçlanmıştır. Duygu durumu tespiti için metin verileri üzerinde destek vektör makineleri algoritması, fotoğraf verilerinde ise evrişimli sinir ağları kullanılmıştır. Çalışmada ele alınan verilerin analizi için duygu analizi, konu modelleme analizi, trend analizi ve korelasyon analizi kullanılmıştır. Gerçekleştirilen analizler neticesinde çalışmanın uygulama alanını ziyaret eden ziyaretçilerin duygu durumları, duygu durumlarının zamana göre değişimi, memnun oldukları ve memnun olmadıkları konular tespit edilmiş, elde edilen bulgular yol ve hava durumu gibi dışsal verilerle ilişkilendirerek doğrulanmıştır. Bu çalışma ile turizm işletmesi yöneticileri ve politika geliştiricilere örnek bir çalışma yanında bir değerlendirme yaklaşımı da sunulmuştur.Today, as in many fields, social media is also used in tourism. This produce a large amount of data which is also called big data. These data contain useful information for both tourism consumers and tourism managers. However, the fact that social media posts contain different types of data makes it difficult to analyze these data and to obtain meaningful information from the data. Methods beyond traditional data analysis approaches are needed for this knowledge discovery process. This study, it is aimed to determine the mood on the comments and photos shared by the tourists on social media about the places they visited. For mood detection, a support vector machines algorithm was used on text data and convolutional neural networks were used on photographic data. As a result of the analyzes carried out, the emotional states of the visitors who visited the application area of the study, the change of their moods according to time, the subjects they were satisfied and dissatisfied were determined, and the findings were verified by associating them with external data such as road and weather conditions. Sentiment analysis, subject modeling analysis, trend analysis and correlation analysis were used for analysis. With the study, an evaluation approach was presented to tourism business managers and policy developers as well as an exemplary stud

    Comparison of the frequency of mathematics teachers' use of mathematics textbooks in face-to-face and distance education

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    Understanding the variables that affect the use of textbooks are important for the development of eligible and preferable resources. In this research, the frequency of textbook usage in face-to-face and distance education was examined according to grade level, professional experience of teachers, and residential area of the schools in which teachers work. The sample of the study consists of 287 middle school mathematics teachers working in different state schools. Data was obtained through an online survey. This study showed that the frequency of textbook usage decreased as the grade level increased, and this decrease occurred both in face-to-face and distance education. However, it has been concluded that the frequency of textbook usage varies in both learning environments according to teaching experience, and that change is statistically significant. In face-to-face classrooms, it was determined that the location of the school was a determining factor in terms of the frequency of textbook usage, whereas, in distance education, the frequency of textbook usage did not statistically significantly differ according to school location. The rest of the findings are discussed in terms of teachers' experiences and attitudes.Öğrenme-öğretme sürecinin en önemli materyallerinden biri olan ders kitaplarının kullanımına etki eden değişkenleri anlamak, nitelikli ve tercih edilebilir kaynakların geliştirilebilmesi için önemlidir. Bu araştırmada, yüz yüze ve uzaktan eğitim sürecindeki ders kitabı kullanım sıklığı, öğretmenlerin mesleki deneyimleri ve görev yaptıkları okulların bulunduğu bölgedeki sosyo-ekonomik düzeylere göre sınanmıştır. Tarama deseni ile yürütülen çalışmanın katılımcılarını 287 ortaokul matematik öğretmeni oluşturmaktadır. Sınıf kademesi, mesleki deneyim ve yerleşim bölgesi dikkate alınarak oluşturulan örneklemden çevrimiçi anket yoluyla toplanan veriler, betimsel ve kestirimsel istatistik teknikleri ile analiz edilmiştir. Çalışma sonuçları, sınıf kademesi arttıkça ders kitabı kullanım oranının azaldığını ve bu azalışın hem yüz yüze hem de uzaktan eğitim sınıflarında gerçekleştiğini göstermiştir. Bununla birlikte, mesleki deneyime göre ders kitabı kullanım sıklığının hem yüz yüze hem de uzaktan öğretim sürecinde değiştiği ve bu değişimin istatistiksel olarak anlamlı olduğu sonucuna ulaşılmıştır. Yüz yüze eğitimde yerleşim bölgesinin ders kitabı kullanım sıklığı açısından belirleyici bir faktör olduğu, uzaktan eğitim sürecinde ise ders kitabı kullanım sıklığının yerleşim bölgesine göre istatistiksel olarak anlamlı bir şekilde farklı olmadığı belirlenmiştir. Diğer bulgular öğretici deneyimi ve tutumları çerçevesinde tartışılmıştır

    Strategy improvements to minimize the drawbacks of geothermal investments by using spherical fuzzy modelling

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    This study aims to evaluate the significant risks in geothermal energy investments. For this purpose, a model is suggested by considering the Spherical fuzzy DEMATEL technique. With the help of the literature examination, eight important risks are identified for these projects. In the following step, their weights are calculated so that more significant risk issues can be understood. Another calculation is also performed by triangular fuzzy DEMATEL to check the consistency of the analysis results. The results of both Spherical and triangular fuzzy DEMATEL techniques are similar. The most essential risk issues are the same for both methods that demonstrate the validity of the findings. The results indicate that the risk of accidents because of incorrect design-material use has the greatest importance since it has the highest weight. Moreover, the risks of decreased water resources and pollution of them also play a significant role in this regard. Great attention should be paid to the quality of the material to be used in geothermal energy facilities. Otherwise, there is a risk of explosion and fire in the facility. These problems threaten the lives of many people. In this process, states also have very important duties. Some standards should be determined for the quality of the material used in these facilities. In addition, the compliance of the quality of these materials with the regulations should be checked with the routine inspections. This situation will minimize the risk of accidents due to using poor-quality materials

    Doğal ve kalsine pilekinin karakterizasyonu, puzolanik aktivitesi ve çimento harçlarının mekanik özelliklerine etkisi

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    Purpose: The aim of this study is to determine the usability of natural and calcined Pileki instead of cement in mortars as pozzolan. Theory and Methods: Thin section was taken from Pileki stone and examined petrographically. P was obtained by crushing and grinding the Pileki stone. After grinding, it was calcined at 850 °C and CP was obtained. P and CP were analyzed in detail. Pozzolanic activities of P and CP were determined. Mortar mixtures were prepared by replacing P and CP up to 20% by weight with cement. Standard consistency water, initial and final setting times and Le Chatelier expansion values of cement pastes substituted 5, 10, 20 P and CP were determined. Compressive strength, flexural strength and ultrasonic pulse velocity tests of mortar mixtures were carried out at 2th, 7thand 28thdays. Results: It can be found that the total content of SiO2, Al2O3and Fe2O3is 69.76% in P. It is 71.91% in CP. With calcination, the amorphous structure increased from 26.2% to 35.6%. While the mass loss of P at 900 ° C is 13.56%, it is seen that the mass loss of KP at the same temperature is 1.26%. P has no pozzolanic character, while CP does. At 2thday, the highest compressive strengths belong to mixtures of P5> Ref> CP5, respectively. Except for 20% substitutions, other mixtures yielded results above 20 MPa. The positive effect of calcination process on compressive strength has been observed at all ages in 20% substituted mixtures. The compressive strength of P5 and CP5 mixtures is above 42.5 MPa at 28thday. Conclusion: The calcination process changed the particular size distribution and chemical composition of P. CP has pozzolanic activity. CP can be used as pozzolan. The optimum replacement rate is 5%.Çimentoda puzolan kullanılması fiziksel ve mekanik özellikleri iyileştirmekte, ekonomik olarak fayda sağlamaktadır. Ayrıca daha az çimento kullanımı sonucu çevresel etkiler azaltılmaktadır. Bu çalışmada Pileki taşının (İyidere/Rize) öğütülmüş halde doğal ve kalsine olarak çimento harçlarının içinde puzolan olarak değerlendirilebilirliğine odaklanılmıştır. Pileki taşı petrografik açıdan incelenmiştir. Öğütülmüş pileki ise doğal ve kalsine edilmiş halde fiziksel, kimyasal, minerolojik, termal gravimetrik ve morfolojik açıdan analiz edilmiştir. Doğal pileki ve kalsine pilekinin puzolanik aktivitesi belirlenmiştir. Harç üretiminde %0, %5, %10 ve %20 oranlarında çimento yerine kullanılmıştır. Doğal ve kalsine pileki SiO2+Al2O3+Fe2O3 toplamının sırasıyla %69.78 ve %71.91 olduğu, kalsine işlemi ile doğal pileki bünyesindeki suyun dehidratasyona uğradığı, kalsine pilekiye ait kızdırma kaybı ve 900℃’de ağırlık kaybının böylelikle azaldığı belirlenmiştir. Sonuç olarak pileki taşının öğütülerek kalsine halde çimento harçlarında doğal puzolan olarak %5 ikame ile başarıyla kullanılabileceğini kanaatine varılmıştır. Puzolan olarak kalsine pileki kullanımı çimento üretimi için gerekli olan enerji miktarının dolayısıyla CO2 salınımının azalmasına destek olabilecektir

    A quantitative study on the mental health of Turkish seafarers

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    Physically and mentally healthy seafarers with professional knowledge and skills are needed for maritime transportation to be safe and sustainable. Mental problems experienced by seafarers can lead to negative consequences, such as bullying, substance dependency, assault, murder and suicide. Accordingly, this study examined the effects of differences between the socio-demographic characteristics of Turkish seafarers on their depression, which is an important criterion for determining mental disorders. Data collected from 403 participants through quantitative research methods were analyzed using SPSS version 25.0 and AMOS version 23.0. Although periodic physical and mental health checks are performed on seafarers, it was found from the analysis results that 33.2% of Turkish seafarers experience mental issues. Moreover, the study determined that the socio-demographic characteristics of seafarers made some differences in their depression levels

    Self-compassion scale for youth: Turkish adaptation and exploration of the relationship with resilience, depression, and well-being

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    Self-compassion refers to being kind, understanding, and accepting toward oneself in times of failure, frustration, or negative feelings. Since self-compassion is related to both physical and psychological well-being, measuring and understanding self-compassion in different populations carries importance for their mental well-being and life satisfaction outcomes. One such group is the youth, who experience unique developmental challenges. For this purpose, a Self-Compassion Scale for Youth (SCS-Y) was developed (Neff et al., 2021) and this paper presents its Turkish adaptation. The Turkish translation of SCS-Y was tested on a sample of Turkish youth (N = 450, 61.8% female, Mage= 13.09 ± 1.59, range = 11–15) and was found to have acceptable reliability. The scale showed a similar structure to the original testing on American youth with a bifactor model of a general self-compassion score and six subscale scores, and a two-bifactor model where negative and positive aspects are grouped together. Self-compassion was positively related to resilience and well-being, and negatively related to depression. A serial mediation analysis showed self-compassion to have a direct and positive effect on resilience, and to have an indirect effect on well-being mediated by resilience and depression. Given that the trainable skill of self-compassion is associated with higher resilience, lower depression, and better well-being, the value of this scale and its different adaptations becomes evident, as they enable measuring self-compassion in youth in various populations such as the present Turkish one and guiding the design of future interventions to increase self-compassion, targeted for the specific concerns of the youth

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