Osmaniye Korkut Ata University Academic Repository
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Empirical effects of budget balance driven inflation in Turkey
Full text linkBu çalışma, 2006:1–2023:11 dönemine ait Türkiye verileri üzerinden bütçe açıklarının enflasyon üzerindeki asimetrik etkilerini incelemeyi amaçlamaktadır. Literatürde genellikle doğrusal olarak ele alınan bu ilişki, çalışmada Asimetrik ARDL (NARDL) modeli ile değerlendirilerek yön ve şiddet açısından farklı etkiler analiz edilmiştir. Kamu harcamaları ve vergi gelirleri ile temsil edilen bütçe dengesinin enflasyon üzerindeki etkisi, geleneksel birim kök testleri (ADF) ile birlikte KSS (2003) ve Hepsağ (2021) doğrusal olmayan testleri aracılığıyla veri yapısı dikkate alınarak değerlendirilmiştir. Terasvirta (1994) doğrusallık testi sonuçları, verilerin LSTAR süreci izlediğini göstermiştir. Granger nedensellik analizleri, kamu harcamaları ve vergilerden enflasyona doğru anlamlı bir nedensellik olduğunu ortaya koyarken, enflasyon ile ekonomik büyüme arasında uzun dönemli bir eş-bütünleşme ilişkisi bulunmuştur. Ampirik bulgular, bütçe açıklarının artışının enflasyonu anlamlı şekilde artırdığını; ancak açıkların azalmasının aynı düzeyde enflasyonu düşürmediğini göstermektedir. Bu asimetrik ilişki, bütçe açıklarının finansman yöntemlerinin enflasyonist etkiler üzerinde belirleyici olduğunu ortaya koymuştur. Merkez bankası kaynaklı finansmanın enflasyonist baskıları artırdığı, borçlanma yoluyla finansmanın ise faiz kanalı üzerinden ekonomik büyümeyi etkilediği sonucuna ulaşılmıştır. Elde edilen sonuçlar, maliye politikalarının tasarımında sadece açıkların düzeyi değil, aynı zamanda finansman yöntemlerinin yönlendirici rolünün dikkate alınması gerektiğini ortaya koyarak politika yapıcılar için önemli öneriler sunmaktadır.This study aims to examine the asymmetric effects of budget deficits on inflation over the period 2006:1–2023:11 in Turkey. This relationship, which is generally considered linear in the literature, was evaluated with the Asymmetric ARDL (NARDL) model in the study and different effects were analyzed in terms of direction and intensity. The effect of the budget balance represented by public expenditures and tax revenues on inflation was evaluated by taking into account the data structure through the KSS (2003) and Hepsağ (2021) nonlinear tests together with traditional unit root tests (ADF). Terasvirta (1994) linearity test results showed that the data followed the LSTAR process. Granger causality analyses revealed that there is a significant causality from public expenditures and taxes to inflation, while a long-term cointegration relationship was found between inflation and economic growth. Empirical findings show that increasing budget deficits significantly increases inflation; however, decreasing deficits does not reduce inflation at the same level. This asymmetric relationship has revealed that the financing methods of budget deficits are determinant on inflationary effects. It has been concluded that financing from the central bank increases inflationary pressures, while financing through debt affects economic growth through the interest channel. The results obtained provide important suggestions for policy makers by revealing that not only the level of deficits but also the guiding role of financing methods should be taken into account in the design of fiscal policies
Balancing Performance and Health in Elite Hungarian Athletes: The Relationship Among Disordered Eating Risk, Body Composition, and Nutrition Knowledge
No full textBackground: disordered eating (DE) and eating disorders (ED) can negatively impact athletes' health, wellbeing, and athletic performance. Objective: this cross-sectional study aims to assess DE risk, body composition, and nutrition knowledge among elite Hungarian athletes. Methods: DE risk was assessed using DESA-6H and EAT-26 scales, nutrition knowledge through the Abridged Nutrition for Sport Knowledge Questionnaire (A-NSKQ), and body composition with the OMRON BF511 device. The data were analyzed using Kendall's tau correlations, Mann-Whitney U tests, and ROC analysis. Results: a total of 71 athletes participated (39.4% males, mean age = 24.8 years, SD = 4.8 years and 60.6% females, mean age = 24.3 years, SD = 4.3 years). At-risk scores on the DESA-6H scale were recorded for nine athletes (12.7%), while 32.4% scored in the risk zone on the EAT-26, with female athletes in aesthetic, endurance and weight-dependent sports being most affected. Low BF was observed in four males and four females. Nutrition knowledge (49.1%) was below the acceptable threshold. DESA-6H significantly correlated with EAT-26 scores, BMI, sports nutrition knowledge, and A-NSKQ total scores. A statistically significant difference by gender was found in the EAT-26 total score (p = 0.019, d = 0.65). Risk groups significantly differed in A-NSKQ scores (p = 0.026, d = 0.511) and sport nutrition knowledge, specifically (p = 0.016, d = 0.491). Using EAT-26 to identify at-risk athletes and the DESA-6H recommended cut-off, the ROC analysis showed a sensitivity of 29.1% and a specificity of 95.7%. Conclusions: insufficient nutrition knowledge plays a role in being at-risk for DE and ED. These results underscore the need for early detection, early sport nutrition education across all elite athletes, with particular attention to female athletes in aesthetic, endurance and weight-dependent sports, and for monitoring these athletes to prevent DE. Further work is warranted to optimize screening tools such as EAT-26 and DESA-6H for elite athletes
KENTSEL KİMLİK PERSPEKTİFİNDE SİNOPE’NİN (SİNOP) ADLANDIRILIŞINA YÖNELİK ÖNCÜL AKTARIMLAR
No full textSinope (Sinop), Karadeniz Bölgesi’nin kıyı şeridinde yer alan ve Boztepe Yarımadası’nın üzerine kurulan antik kentlerden biridir. Boztepe Yarımadası’ndaki doğal limanların kentin kuruluş gerekçelerinden biri olarak görüldüğü bilinmektedir. Anadolu coğrafyasının kuzeyindeki en uç noktayı oluşturan Sinope, liman kenti özelliğiyle Karadeniz Bölgesi’nden Ege ve Akdeniz’e gerçekleştirilen ticari faaliyetlerin yürütülmesine olanak tanımıştır. Kentin kuruluşuyla gelişen süreç isimlendirilmesine yönelik birtakım görüşleri de beraberinde getirmiştir. Buna karşın bölgenin kent görünümü öncesinde de adlandırılışına dair kayıtlar mevcuttur. Kentin isimlendirmesine yönelik bulgular antik kaynaklarda yer edinmiş ve Sinope’nin adlandırılışı bu kaynaklarda mitik anlatımlara dayandırılmıştır. Mitik aktarımlar, kent adlandırmalarında başat güç unsurları olarak değerlendirilmiş ve bu aktarımlarda tanrısal varlık imgelerinden yararlanılarak kentsel varoluş sürecinin güç simgeleri vurgulanmıştır. Gücün temel simgeleri olarak değerlendirilen tanrısal işaretler, kentleşmenin ve buna dayalı olarak kent kültürünün oluşumuna ve şekillenmesine katkı sağlayan unsurları ifade etmiştir. Bu unsurlar, Sinope’nin kentsel kimlik perspektifinde adını mitolojide kadınlardan oluşan ve savaşçı ulus olarak nitelendirilen Amazonların bir prensesinden ya da Tanrı Asopos’un kızlarından birinden aldığı söylemlerine zemin hazırlamıştır. Bu çalışmada Sinope kentinin isimlendirilmesindeki güç unsurları antik kaynakların yanı sıra modern literatür incelenerek değerlendirilmeye alınmıştır
Predicting high potential archers by the quite eye duration parameter
No full textMachine learning, although widely applied across various fields for many years, has only recently gained traction in sports science. It shows great promise in areas such as injury prediction and athlete performance forecasting. This study explores the potential of using machine learning to predict archers' performance based solely on specific physiological parameters. Initially, the total success score of each archer was recorded after three sets of six shots, alongside measurements of their quiet eye parameters. The quiet eye represents the final fixation of the eye on a target, critical for task accuracy. Based on their scores, archers were categorized as low-potential athletes or high-potential athletes using an machine learning clustering method. Subsequently, machine learning classification algorithms were applied to predict the performance class of archers using only quiet eye parameters. The study involved 18 archers (equally split by sex) who had consistently trained in archery for at least two years. The results indicated that the performance classification of archers could be predicted with approximately 90% reliability using only quiet eye data. The findings suggest that machine learning based on quiet eye parameters offers a time-efficient alternative to traditional methods for identifying high-potential archers
Influence of vapor chamber shape on thermal performance under partial heating for electronic cooling
No full textEffects of the shape of vapor chamber (VC) under partial heating on thermal performance are experimentally tested in this study for different parameters such as heating area, heating power and temperature value of heaters. Also, effectiveness of vapor chamber is discussed by comparing with copper plate. Partial heating is chosen to simulate the electronical heating of the device. Different vapor chamber types are tested as square VC 56 x 56 mm2, rectangular VC 106 x 70 mm2, square VC 90 x 90 mm2 and circular VC. Thermal resistance is calculated and temperature values are measured from the surface of the VC under different heating area. It is observed that the thermal performance of the vapor chamber is significantly higher than that of the copper plate for all types of VC. Higher thermal resistance is observed when a circular vapor chamber is used with a smaller heater diameter. Thermal resistance value is almost 400 % higher between the lowest and highest value of heater area
Sphenoid Ridge in Fetuses: Size Analysis, Classification, and Clinical Implications
No full textObjective:To identify the size and angle of the sphenoid ridge (SR) in fetuses.Methods:Skull bases of 32 fetuses (11 males / 21 females) aged 17 to 32 weeks of gestations were included the study. The angle of SR (SRA), length of LW (SRL), and also LW widths at the midline (SRW-ML), at the midpoint (SRW-MP), and at the lateral point (SRW-L) were measured.Results:SRL, SRA, SRW-ML, SRW-MP, and SRW-L were measured as 22.98 +/- 4.62 mm, 150.69 +/- 8.05 degrees, 6.57 +/- 1.46 mm, 4.68 +/- 1.07 mm, and 2.68 +/- 0.71 mm, respectively. No significant difference was observed between the measurements in terms of sex and sides. Apart from SRA, the parameters were greater in the third-trimester fetuses than the second-trimester fetuses. SRA was similar in both trimester fetuses. SRA did not alter with advancing gestational weeks, but the other increased. In fetuses, only one configuration regarding SRA types was observed. Type A was observed in all fetuses. Linear function was calculated as y=1.411 + 0.902xage for SRL, y=-0.137 + 0.281xage for SRW-ML, and y=1.024 + 0.069xage for SRW-L.Conclusion:Our study provides beneficial data for neurosurgeons and anatomists to understand the development of SR in the prenatal period. The authors' regression equations for determining the growth dynamics of the ridge may be used to estimate SR parameters
Deformation analysis of functionally graded variable cross-section rod
No full text16.03.2026 tarihine kadar kullanımı yazar tarafından kısıtlanmıştır.Eksenel yönde değişken kesit alanına sahip fonksiyonel olarak dereceli çubuğun deformasyon analizi ele alınmıştır. Elastik modül ve yoğunluk gibi malzeme özelliklerinin eksenel yönde derecelendirildiği varsayılmıştır. Bu koşullar altında geleneksel analitik yöntemlerle çözülmesi zor olan değişken katsayılı kısmi diferansiyel denklem elde edilir. Laplace dönüşümü altında, kısmi diferansiyel denklem eksenel yönde zamandan bağımsız bir sınır değer problemine dönüştürülmüş ve pseudospektral Chebyshev yöntemi ile çözülmüştür. Modifiye edilmiş ters Durbin yöntemi kullanılarak fiziksel uzaydaki yer değiştirmeler elde edilmiştir. Birleştirilmiş sayısal yöntemle elde edilen sonuçlar literatürle doğrulanmıştır. Rastgele oluşturulan kesit lanaları ve malzeme karışımın yer değiştirme dağılımları üzerindeki etkileri tartışılmıştır. Anahtar Kelimeler: Deformasyon Analizi, Fonksiyonel Dereceli C¸ ubuklar, Pseudospektral Chebyshev Yontemi, Laplace D ¨ on¨ us¸¨ um¨ u, Modifiye ¨ Durbin YontemiThe deformation analysis of a functionally graded rod with a variable cross-sectional area in the axial direction is considered. Material properties such as elastic modulus and density are assumed to be graded in the axial direction. These conditions result in a partial differential equation with variable coefficients that is difficult to solve with traditional analytical methods. Using the Laplace transform, the partial differential equation is transformed into a time-independent boundary value problem in the axial direction and solved using the pseudospectral Chebyshev method. Displacements in physical space are obtained using the modified inverse Durbin method. The results obtained with the combined numerical method are validated with literature. The effects of randomly generated cross-sectional planes and the material mixture on the displacement distributions are discussed. Key Words: Deformation Analysis, Functionally Graded Rods, Pseudospectral Chebyshev Method, Laplace Transform, Modified Durbin Metho
Investigation of real-feel temperature in different climate Regions of Türkiye
No full textFeeling temperature varies from person to person, and is described as the temperature that the human body feels or perceives, as different from the temperature measured by a thermometer. In addition to observable meteorological data, people's gender, clothing, metabolism, and psychological states have also a significant effect on their feeling temperature. In this study, a mathematical model based on a computational technique developed by a private company, AccuWeather, is applied to determine the feeling temperature values. With the AccuWeather model, the feeling temperature values for six provinces in distinct climatic zones of T & uuml;rkiye are determined using temperature, relative humidity, air pressure, and wind speed data obtained from the Turkish State Meteorological Service. Seasonal differences are revealed between the felt temperature and the dry bulb temperature at the specified locations. Results show that the greatest difference between the feeling temperature and the dry-bulb temperature occurs during the summer months due to an increase in relative humidity and wind speed. However, in the winter months, wind speed is determined to be more effective than relative humidity on the feeling of temperature
Determination of diffusion kinetics, wear and corrosion behaviour of boro-sintered powder metal AISI 316 stainless steel alloy
No full textThe study aimed to improve the hardness, wear, and corrosion resistance of powder metal AISI 316 stainless steel alloy using boro-sintering to form FeB and Fe2B compounds on the sample surface at different temperatures and durations utilizing Ekabor II boriding powder. The boride layer thickness was measured, and boron diffusion kinetics were determined. The boron diffusion activation energy was computed at 190.29 kJ & sdot;mol-1 during borosintering. The microhardness test revealed 12.5 times increase in the hardness of the AISI 316 stainless steel substrate. Adhesion tests using Daimler-Benz Rockwell C confirmed adequate substrate-coating adhesion of the formed boride layers. The ball-on-disc method results indicated that the wear resistance of boro-sintered samples exceeded that of unboronized AISI 316 stainless steel by a ratio ranging from 8.32 to 14.17. Corrosion tests of boronized powder metal AISI 316 stainless steel alloy samples were conducted in 3.5 % NaCl solution, demonstrating a 50 % reduction in corrosion rate with the boro-sintering process.Manisa Celal Bayar University Sci-entific Research Projects Coordination Unit [2022/082]This study was supported by the Manisa Celal Bayar University Sci-entific Research Projects Coordination Unit (Project Number: 2022/082)
Comparison of three different satellite data on 2D flood modeling using HEC-RAS (5.0.7) software and investigating the improvement ability of the RAS Mapper tool
No full textFlood modeling is essential to determine and protect vulnerable areas. However, due to complexity of flooding, it is challenging to model floods with a high level of sensitivity. While many factors affect flood models' accuracy, topography is among the most critical. With developing technologies, designing high-accuracy topographical data is becoming more feasible, especially for small catchments. In this study, the authors focus on macro-scale modeling using different types of satellite data across the Amik Plain; a large plain with a complex stream network. SRTM, Aster, and Alos Palsar satellite data were used to create digital terrain models (DTMs). The pre-evaluation of the results showed that even the main streams in the Amik Plain were not visible. So, the geometry of the streams was created and added to the digital elevation models using the HEC-RAS software RAS Mapper tool. A flood in 2012 was simulated using all three improved DTMs. As a result, it is seen that an enhanced version of the DTM created from SRTM data provides the best performance for use in macro-scale flood modeling. The usage of the RAS Mapper tool as a GIS tool also performed well in the case of DTM improvements. The DTM improvements on the satellite data for the large plains can give a fairly reasonable output instead of using high-cost sensitive data