Osmaniye Korkut Ata University Academic Repository
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Determining the attitudes of the local population toward geographical indication products: The case of Osmaniye province
Bu çalışma, Osmaniye ilinde yaşayan yerel halkın coğrafi işaretli ürünlere ilişkin bilgi düzeylerini ve bu ürünlere yönelik tutumlarını belirlemeyi amaçlamaktadır. Araştırmada yerel halkın Cİ kavramına dair farkındalık düzeyi ile ürünlerin tanınırlığı, kullanımı ve benimsenme durumu ile demografik değişkenlerin tutum ve farkındalık üzerindeki etkileri incelenmiştir. Çalışmanın özgün yanı, Cİ ürünlerin yerel halk tarafından ne ölçüde bilindiğini ve bu ürünlere yönelik tutumların nasıl şekillendiğini ortaya koyarak, yerel yönetimler, turizm sektörü paydaşları, üretici birlikleri ve eğitim kurumları için yol gösterici nitelikte olmasıdır. Araştırmada nicel yöntem kullanılmış olup, veri toplama aracı olarak anket tekniğinden yararlanılmıştır. Çalışmanın evrenini, TÜİK verilerine göre Osmaniye'de yaşayan 561.061 kişi oluştururken, örneklemini ise kolayda örnekleme yöntemiyle belirlenen 540 katılımcı oluşturmaktadır. Bulgular, katılımcıların Cİ ürünlere yönelik genel eğilimlerinin olumlu olduğunu ancak bu eğilimin toplumsal gruplar arasında homojen dağılmadığını göstermektedir. Cinsiyet, eğitim düzeyi, ikamet süresi ve restoran tüketim alışkanlıklarının tutum ve farkındalık üzerinde anlamlı farklılıklar yarattığı belirlenmiştir. Özellikle kadınlar ve yüksek eğitim düzeyine sahip bireyler daha yüksek farkındalık ve satın alma niyeti sergilemektedir. Bu sonuçlar, coğrafi işaretli ürünlerin sadece ekonomik birer araç olarak değil, aynı zamanda toplumsal kabul, kültürel aidiyet ve yerel kimlik unsurlarıyla da ilişkilendirilmesi gerektiğini göstermektedir. Bu doğrultuda, tanıtım faaliyetlerinin özellikle erkekler, düşük eğitim düzeyine sahip bireyler ve düşük algı puanlı gruplara odaklanması, yerel medya ve sosyal medya araçlarının etkin kullanılması, restoranlarda menü etiketlemeleri ve bilgilendirici materyallerin yaygınlaştırılması önerilmektedir. Anahtar Kelimeler: Coğrafi işaret, Yerel halk, Gastronomi, Turizm, Osmaniye iliThis study aims to determine the level of knowledge and attitudes of the local population living in Osmaniye province regarding geographically indicated products. The research examines the local population's level of awareness of the GI concept, the recognition, use, and acceptance of these products, and the effects of demographic variables on attitudes and awareness. The original aspect of the study is that it reveals the extent to which GI products are known by the local population and how attitudes towards these products are shaped, thus providing guidance for local administrations, tourism sector stakeholders, producer associations, and educational institutions. Quantitative methods were used in the study, and the survey technique was used as the data collection tool. The population of the study consisted of 561,061 people living in Osmaniye according to TÜİK data, while the sample consisted of 540 participants determined by convenience sampling. The findings show that participants' general attitudes towards CI products are positive, but that this attitude is not evenly distributed among social groups. It was determined that gender, education level, length of residence, and restaurant consumption habits create significant differences in attitudes and awareness. Women and individuals with higher education levels, in particular, demonstrate higher awareness and purchase intent. These results show that geographically indicated products should be associated not only as economic tools but also with elements of social acceptance, cultural belonging, and local identity. In this regard, it is recommended that promotional activities focus particularly on men, individuals with low levels of education, and groups with low awareness scores, that local media and social media tools be used effectively, and that menu labeling and informative materials be disseminated in restaurants. Keywords: Geographical indication, Local people, Gastronomy, Tourism, Osmaniye provinc
Determinants of material footprint in OECD countries: The role of green innovation and environmental taxes
The economic progress of OECD countries is highly dependent on the use of materials. However, excessive material use may cause OECD countries to deviate from their Sustainable Development Goals (SDGs), particularly SDGs 8 and 12. Therefore, it is an important policy agenda to analyze the determinants of the material footprint (MF) and seek solutions to reduce it. This study examines the impact of green innovation, environmental policy strategy, and environmental taxes on MF for 30 OECD countries from 2000 to 2019 using the cross-sectional ARDL (CS-ARDL) approach within the framework of the environmental Kuznets Curve (EKC). The outcomes indicate that the EKC hypothesis is valid for MF. Moreover, the long-term results indicate that green innovation, environmental policy stringency, and environmental taxes are important policy tools to reduce MF. Therefore, OECD countries should promote green innovation, upsurge environmental taxes, and implement stringent environmental policies to the achievement of SDGs 8 and 12
Characterization of the Key Odorants of Mastic Gum (Pistacia lentiscus var. Chia) from Two Different Countries
Mastic gum, a plant-based resin from mastic trees, has become very popular in recent years and has been used in various food products due to its strong and positive aroma properties. In the present study, key odorant compounds of the mastic gum (MG) samples obtained from mastic gum trees (Pistacia lentiscus var. Chia) from two different countries, T & uuml;rkiye (MGT) and Greece (MGG), were investigated and compared. The aroma-active compounds (AACs) were determined by aroma extract dilution analysis (AEDA) and by using gas chromatography-mass spectrometry-olfactometry (GC-MS-O). The two mastic gum samples exhibited similar aroma profiles but significant differences were observed in their concentrations. Among the aroma groups identified in both samples, monoterpenes were the most abundant group with alpha-pinene as the main compound followed by beta-myrcene and beta-pinene. On the other hand, the most dominant AAC in both samples was determined to be alpha-pinene (resinous, forest-like odor), followed by beta-pinene (resinous, terpene-like odor), beta-myrcene (pine-like, greenish odor), and linalool (floral, fruity odor), all of which had high flavor dilution (FD) values. The findings of the AEDA and sensory analysis revealed that the MGT sample contained more floral and fruity odors while the MGG sample had more resinous and pine-woody odors.Cukurova University Research Fund Office [FDK-2020-12813]; Scientific and Technological Research Institution of Turkiye (TUBITAK) [222O036]The authors gratefully acknowledge the financial support provided by the Cukurova University Research Fund Office (Project number: FDK-2020-12813) and the Scientific and Technological Research Institution of Turkiye (TUBITAK, Project number: 222O036)
The Influence of Hazelnut Milk Fortification on Quality Attributes of Probiotic Yogurt
This study evaluated probiotic yogurt fortified with varying proportions of hazelnut milk (10%, 20%, 30%, 40%, and 50%) for its physicochemical, textural, microbiological, and bioactive properties during refrigerated storage. The incorporation of hazelnut milk and the storage duration significantly influenced the overall quality attributes of yogurt. Increasing the proportion of hazelnut milk from 0% to 50% significantly influenced pH levels (rising from 4.22 to 5.16), likely due to the reduced buffering capacity of plant-based milk. Yogurt samples produced with 50% hazelnut milk exhibited the highest dry matter (15.22%), protein content (4.11%), and total phenolic content, along with the strongest DPPH radical scavenging activity. Total phenolic content ranged from 30.12 to 155.29 mg/L, while antioxidant activity increased from 7.27% to 46.59% with higher hazelnut milk concentrations, indicating enhanced bioactive properties. Microbiological analysis revealed improved probiotic viability at higher hazelnut milk levels (30%-50%), with total lactic acid bacteria counts increasing from 7.38 to 8.58 log CFU/g during storage. Microstructural analysis showed that increased hazelnut milk content resulted in a more homogeneous and smoother protein network. The values for hardness (from 0.43 to 1.01), consistency (from 4.22 to 10.63), internal stickiness (from -0.10 to -0.46), and viscosity (from -0.03 to -0.51) of the yogurt samples changed significantly depending on the proportion of hazelnut milk. Textural parameters-including hardness (0.43-1.01), consistency (4.22-10.63), internal stickiness (-0.10 to -0.46), and viscosity index (-0.03 to -0.51)-also varied significantly with hazelnut milk addition, indicating firmer, thicker, and less adhesive yogurts with modified flow properties. Among all formulations, the 50% hazelnut milk-enriched sample demonstrated the most favorable overall quality. These findings suggest that hazelnut milk fortification can effectively improve the functional, structural, and microbiological quality of probiotic yogurt, although its high pH and lower acidity levels may influence fermentation dynamics and shelf stability.Unit of scientific research projects of Giresun University [FEN-BAP-C-301221-04]; TUBIdot;TAK (The Scientific and Technological Research Council of Turkiye)-Wiley Open Access Article Publishing AgreementThis work was supported by a Unit of scientific research projects of Giresun University with Project No: FEN-BAP-C-301221-04. Additional funding was provided through the TUB & Idot;TAK (The Scientific and Technological Research Council of Turkiye)-Wiley Open Access Article Publishing Agreement. The authors gratefully acknowledge this support
Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van
Water is an essential necessity for maintaining the life cycle on Earth. These resources are continuously changing because of human activities and climate-related factors. Hence, adherence to effective water management and consistent water policy is vital for the optimal utilization of water resources. Water resource monitoring can be achieved by precisely delineating the borders of water surfaces and quantifying the variations in their areas. Since Lake Van is the largest lake in Turkey, the largest alkaline lake in the world, and the fourth largest terminal lake in the world, it is very important to determine the changes in water surface boundaries and water surface areas. In this context, the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI) and Automatic Water Extraction Index (AWEI) were calculated from Landsat-8 satellite images of 2014, 2017, 2020 and 2023 in June, July, and August using the Google Earth Engine (GEE) platform. Water pixels were separated from other details using the Canny edge detection algorithm based on the calculated indices. The Otsu thresholding method was employed to determine water surfaces, as it is the most favored technique for calculating NDWI, AWEI, and MNDWI indices from Landsat 8 images. Utilizing the Canny edge detection algorithm and Otsu threshold detection approaches yielded favorable outcomes in accurately identifying water surfaces. The AWEI demonstrated superior performance compared to the NDWI and MNDWI across all three measures. When the effectiveness of the classification techniques used to determine the water surface is analyzed, the overall accuracy, user accuracy, producer accuracy, kappa, and f score evaluation criteria obtained in 2014 using CART (Classification and Regression Tree), SVM (Support Vector Machine), and RF (Random Forest) algorithms as well as NDWI and AWEI were all 100%. In 2017, the highest producer accuracy, user accuracy, overall accuracy, kappa, and f score evaluation criteria were all 100% with the SVM algorithm and AWEI. In 2020, the SVM algorithm and NDWI produced the highest evaluation criteria values of 100% for producer accuracy, user accuracy, overall accuracy, kappa, and f score. In 2023, using the SVM and CART algorithms as well as the AWEI, the highest evaluation criteria values for producer accuracy, user accuracy, overall accuracy, kappa, and f score were 100%. This study is a case study demonstrating the successful application of machine learning with Canny edge detection and the Otsu water surfaces thresholding method
THE MODERATING ROLE OF ENVIRONMENTAL KNOWLEDGE IN INFLUENCıNG SUSTAINABLE CONSUMPTION INTENTION OF GENERATION Z THROUGH PERSONAL NORMS, SOCIAL NORMS, AND ENVIRONMENTAL AWARENESS
As the world grapples with the pressing challenge of sustainable development, it has become increasingly vital to understand the factors that influence consumption behavior. Generation Z, in particular, has emerged as a pivotal demographic in advancing sustainable consumption practices. This study investigates how Personal Norms, Social Norms, and Environmental Awareness influence Generation Z's intentions regarding sustainable consumption while examining the moderating role of environmental knowledge in these dynamics. Data were gathered through in-person interviews with 395 students from Osmaniye Korkut Ata University in Turkey. The results reveal that Social Norms ((3 = 0.329, p = 0.000), Personal Norms ((3 = 0.265, p = 0.000), and Environmental Awareness ((3 = 0.178, p = 0.000) have a positive impact on sustainable consumption practices, with social norms exerting the most decisive influence. Furthermore, the findings indicate that individuals with high environmental knowledge and strong personal values are more likely to consume sustainably. In contrast, those who are significantly influenced by the behaviors of their peer groups do not show substantial differences in their consumption intentions based on their level of environmental knowledge
Bireylerin Akılcı İlaç Kullanımı ile Akılcı Antibiyotik Kullanımlarının Değerlendirilmesi: Kahramanmaraş Örneği
Amaç: Akılcı ilaç kullanımı, ilaçların doğru dozda, sürede ve hekimin önerisiyle alınmasını ifade ederken, akılcı antibiyotik kullanımı ise yalnızca gerekli durumlarda ve uygun miktarlarda antibiyotik kullanımını kapsar. Bu çalışma, bireylerin akılcı ilaç ve akılcı antibiyotik kullanımlarını etkileyen faktörleri belirlemeyi amaçlamaktadır. Gereç ve Yöntemler: Nicel araştırma deseni kullanılarak gerçekleştirilen araştırmaya, Kahramanmaraş merkezde ikamet eden, 18 yaş ve üzeri 401 yetişkin dâhil edilmiştir. SPSS ve AMOS programları kullanılarak yapılan analizlerde, “Akılcı İlaç Kullanma Ölçeği” ve “Akılcı Antibiyotik Kullanma Tutumu Ölçeği” Cronbach alpha (α) değerleri sırasıyla (0,725; 0,758) olarak elde edilmiş olup; veriler, bağımsız gruplarda t testi, bağımsız gruplarda tek yönlü varyans analizi, regresyon analizi ve doğrulayıcı faktör analizi ile değerlendirilmiştir. Bulgular: Akılcı ilaç kullanım ölçeği puanları 38,07±4,18; akılcı antibiyotik kullanımı tutumları ölçek puanı ise 35,75±5,26 olarak hesaplanmıştır. Hekime gitmeden ilaç kullanma durumu ve hekime gitme amacı ile akılcı ilaç kullanım ölçeği arasında anlamlı bir farklılık tespit edilmiştir (p<0,001). Benzer şekilde, hekime gitmeden ilaç kullanma durumu ve hekime gitme amacı ile akılcı antibiyotik kullanım tutumları arasında da anlamlı bir farklılık olduğu belirlenmiştir (p<0,001). Ayrıca, akılcı ilaç kullanımındaki her bir birimlik artışın, akılcı antibiyotik kullanımında 0,587’lik bir artışa neden olduğu tespit edilmiştir (p<0,001). Sonuç: Araştırma sonuçları, hekim önerilerine uyumun, akılcı ilaç kullanımı açısından kritik bir faktör olduğunu vurgulamaktadır. Bu çerçevede, toplumun sağlığını iyileştirmek adına hem bireylerin hem de sağlık sektöründeki paydaşların bilinçlendirilmesine yönelik çabalarının artırması önemlidir
Assessment of male football players' physical fitness levels based on certain gene (AGT rs699 & IL-6 rs1800795) polymorphisms
Background: The present investigation aims to elucidate the physical fitness attributes inherent in male football players about the Angiotensinogen (AGT) rs699 and Interleukin-6 (IL-6) rs1800795 gene polymorphisms. Methods: Twenty-two male football players, aged 18 to 35 years, voluntarily enrolled in the study conducted within the North Macedonian Super League. Genomic DNA was extracted from oral epithelial cells. Genotyping procedures were then executed using real-time polymerase chain reaction (RT-PCR). All participants were actively involved in an intensive training program six days a week throughout the six-week pre-season preparation phase. The male football players underwent physical assessments both before and after the training program. Statistical analysis involved the use of the Paired-Sample t-Test to discern differences between the pre-test and post-test measurements of the male football players. Results: When stratifying the outcomes according to the IL-6 genotype and AGT genotype variables, statistically significant differences were not observed in Squat Jump (SJ), 5 m sprint, 30 m sprint, Counter Movement Jump (CMJ), Drop Jump (DJ) evaluations, and body fat percentage (p > 0.05). In contrast, statistically significant differences were observed in the Yo-Yo Intermittent Recovery Test Level 2 (Yo-Yo IRT 2), 10 m sprint, and One Repetition Maximum (1RM) bench press variables (Yo-Yo IRT 2: CC and CT p = 0.005, <0.001; 10 m sprint: CT p = 0.024; and 1RM bench press: CC, CT and TT p < 0.001, <0.001, 0.045, respectively). Significant differences were also identified in the Yo-Yo IRT 2, 10 m sprint, and 1RM bench press measurements (Yo-Yo IRT 2: CC, CG and GG p = 0.002, 0.021, 0.001; 10 m sprint: CC and GG p = 0.020, 0.028; and 1RM bench press: CC, GG p = 0.001, 0.001, respectively). Conclusions: In summary, the AGT rs699 and IL-6 rs1800795 gene polymorphisms may play a role in the adaptations induced by training in male football players
Comparison of Time-Driven Activity Based Costing Method and Activity-Based Costing Method: Application in a Private Educational Institution
Amaç: Bu çalışmanın amacı, Faaliyet Tabanlı Maliyetleme (FTM) ve Zamana Dayalı Faaliyet Tabanlı Maliyetleme (ZDFTM) yöntemlerini bir hizmet işletmesi olan özel bir eğitim kurumunda uygulamak ve elde edilen sonuçları karşılaştırmaktır. Tasarım/Yöntem: Araştırmada, özel bir eğitim kurumunda örnek olay araştırma yöntemi kullanılarak her bir sınıf düzeyinde birim öğrenci maliyetleri hesaplanmıştır. Bulgular: Analizler sonucunda, ZDFTM yönteminin FTM yöntemine göre atıl kapasite maliyetlerini hesaplayarak daha doğru maliyet bilgisi sunduğu tespit edilmiştir. Ek olarak, 7. ve 11. sınıflarda atıl kapasite maliyetlerinin yüksek olduğu ve atıl kapasite maliyetlerinin % 81’inin eğitim-öğretim faaliyetinden kaynaklandığı sonucuna ulaşılmıştır. Sınırlılıklar: İşletmenin yönetim muhasebesi konusundaki bilgi ve personel eksikliği araştırmanın sınırlılıkları olarak değerlendirilmektedir. Özgünlük/Değer: Literatürde çeşitli çalışmalar olmasına karşın, anasınıfından 12. sınıfa kadar tüm kademelerde hem FTM hem de ZDFTM yöntemlerinin uygulandığı ve karşılaştırıldığı bir çalışmaya rastlanılmaması bakımından çalışmanın literatüre katkı sunması değerlendirilmektedir. Anahtar Kelimeler: Faaliyet Tabanlı Maliyetleme, Zamana Dayalı Faaliyet Tabanlı Maliyetleme, Atıl KapasitePurpose: The aim of this study is to apply Activity Based Costing (ABC) and Time Driven Activity Based Costing (TDABC) methods in a private educational institution, which is a service business, and to compare the results obtained. Design/Methodology: In the study, unit student costs at each grade level were calculated using the case study research method in a private educational institution. Findings: As a result of the analysis, it was determined that the ZDFTM method provides more accurate cost information by calculating idle capacity costs compared to the ABC method. In addition, it was concluded that idle capacity costs were high in the 7th and 11th grades and 81% of the idle capacity costs resulted from education and training activities. Limitations: Lack of knowledge and personnel on management accounting of the business are considered as limitations of the research. Originality/Value: Although there are various studies in the literature, it is considered that the study contributes to the literature as there is no study in which both ABC and ZDFTM methods are applied and compared at all levels from kindergarten to 12th grade
Kariyer İyi Oluş Ölçeğinin Türkçeye Uyarlanması: Geçerlilik ve Güvenirlik Analizi
Bu çalışmanın amacı, Coetzee vd. (2021) tarafından geliştirilen, 14 ifadeden ve üç boyuttan oluşan “kariyer iyi oluş ölçeğinin” Türkçeye uyarlanması, geçerlilik ve güvenirliğinin test edilmesidir. Ölçeğin geçerlilik ve güvenirliğini incelemek amacıyla açıklayıcı faktör analizi, doğrulayıcı faktör analizi, Cronbach alfa güvenirlik testi, normallik testi, birleşme ve ayrışma geçerliliği analizleri ile cinsiyete göre ölçüm değişmezliği testleri uygulanmıştır. Çalışmanın örneklemi, Adana ve Osmaniye illerindeki devlet okullarında görev yapan 415 öğretmenden oluşmaktadır. Açıklayıcı ve doğrulayıcı faktör analizlerinin sonuçları, ölçeğin üç boyutlu ve 14 ifadeden oluşan yapısının desteklendiğini ve hem birleşme hem de ayrışma geçerliğinin sağlandığını ortaya koymuştur. Cinsiyet gruplarında ölçüm değişmezliğini incelemek için şekilsel, metrik, skalar ve hata değişmezlik modelleri test edilmiştir. Bulgular; ölçeğin şekilsel, metrik, skalar ve hata değişmezliklerini sağlayarak tam ölçme değişmezliğine sahip olduğunu ve kadın ile erkek katılımcıların ölçeğin içeriğini benzer şekilde anlamlandırdığını göstermiştir. Sonuç olarak, kariyer iyi oluş ölçeğinin çok boyutlu yapısının Türkiye bağlamında iyi psikometrik özelliklere sahip, geçerli ve güvenilir bir ölçüm aracı olduğu tespit edilmiştir. Ölçeğin hem araştırmacılar hem de kariyer danışmanları ve insan kaynakları uzmanları gibi uygulayıcılar tarafından güvenilir ve geçerli bir araç olarak kullanılabileceği belirlenmiştir