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Copyright of Turkish Journal of Remote Sensing & GIS / Türk Uzaktan Algılama ve CBS Dergisi is the property of Halil Akinci and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Celal Bayar Üniversitesi Saglik Bilimleri Enstitüsü Dergisi is the property of Celal Bayar University Health Sciences Institute Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study examined the roles of perceptions of gender and marital relationship beliefs in predicting mothers' traditional motherhood roles. In addition, this study examined whether mothers' traditional motherhood role, perceptions of gender, and marital relationship beliefs differed according to participants' employment status. The participants were 309 married women with children from different provinces of Turkey. The correlation-type relational survey model, a subtype of quantitative research techniques, was used in the study. The data was collected using Demographic Information Form, Traditional Motherhood Scale, Perception of Gender Scale, and Beliefs on Marriage Relationship. Independent samples t-test and multiple regression analysis were used to analyze the data. Regression analysis showed that marital relationship beliefs positively and significantly predicted the traditional mothering role. According to this finding, as mothers' negative beliefs about marriage increased, their mothering roles became more traditional. Another finding was that perception of gender negatively and significantly predicted the traditional mothering role. In other words, as the gender perception that mothers attribute to women and men lost its positivity, their mothering roles became more traditional. When the contributions of the variables to the model were analyzed separately, marital relationship beliefs made the largest contribution to the model. In addition, the traditional motherhood role of mothers in paid employment was lower than those not in paid employment. Working mothers had higher positive gender perceptions than mothers not in paid employment, and their dysfunctional beliefs about marriage were lower than those of mothers not in paid employment. When the findings obtained in the study are evaluated together, it is seen that gender perception and marital relationship beliefs played a role in the prediction of traditional motherhood roles, and that it varied according to whether the mothers have a paid job. [ABSTRACT FROM AUTHOR]

This study investigated the thermal conductivity of natural stones (k) through regression analyses and artificial neural networks (ANN). In order to gather a sizable number of datasets for the aforementioned analytic methodologies, a thorough literature review was carried out. Based on different physicomechanical rock characteristics, like dry density (pd), effective porosity (ne), uniaxial compressive strength (UCS), and pulse wave velocity (Vp), seven estimated models (M1-M7) were created for the evaluation of k. The regression-based models (M1-M5) demonstrated that the considered rock properties influence the k of natural stones at different degrees. Notably, the ne and Vp were found to be highly correlative parameters for estimating the k of natural stones. A number of statistical indicators were used to assess the performance of the developed models. The statistical evaluations indicated that the ANN-based models (M6, M7) provided more consistent results than the M1-M5 models. In addition, the mathematical expressions for ANN-based models were also given in the present study to let users carry out them more efficiently. In this case, this study is thought to ensure applicable and comprehensible information on the heat conduction of natural stones and can be described as a research study on how to model the k of natural stones as a factor of various rock characteristics. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the impact of research and development expenses (R&D) on brand values. In this context, 288 observation data of 40 companies included in the Turkey's top 100 brands report published by Brand Finance between 2012 and 2021 were obtained. Analyzes were performed using least squares regression (OLS) and clustered standard errors estimators. Research results reveal that there is a positive and statistically significant relationship between R&D expenses and brand value. This relationship is also valid for one, two and three period lagged values of R&D expenditures and reveals that there is a positive relationship with brand value. In addition, additional analyzes indicate that R&D expenditures are positively related to changes in companies' rankings in the brand value report. These findings show that current and past R&D expenses affect not only the current brand value but also the dynamics of companies in brand rankings. This study makes significant contributions to the business world and academic research by comprehensively revealing the impact of R&D expenditures on the brand value of companies. The results of the research provide valuable insights to business managers and strategists on how companies can effectively use R&D expenditures to improve their competitive advantage and market position. [ABSTRACT FROM AUTHOR]

This document provides a summary of a study conducted in Çank¿r¿ Province, Turkey, on the estimation of PM10 parameters using Sentinel-2 satellite images. The study found a strong correlation between the reflectance values of the satellite imagery and the in-situ measured PM10 parameters. Thematic maps were created based on the satellite images, revealing high levels of PM10 in the city center, intercity roads, and industrial areas. The study emphasizes the importance of monitoring air quality and taking steps to improve it. Other studies on the topic are referenced, and ethical standards are declared. [Extracted from the article]

Copyright of Journal of Traffic & Transportation Research / Trafik ve Ulaşım Araştırmaları Dergisi is the property of Journal of Traffic & Transportation Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Istanbul Commerce University Journal of Social Sciences / İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi is the property of Istanbul Commerce University Journal of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The area of interest of the Political Business Cycles Theories is to research the effects of elections held in democratic countries on the economy. The version of the theory that accepts adapted expectations is known as the traditional approach, and the version that accepts rational expectations is known as the modern approach. Both approaches are again differentiated as Opportunistic and Partisan approaches. In this study, the existance of the traditional opportunistic model in Türkiye is tested in the context of the political business cycles theory. Within the scope of the analysis; The 2007, 2011, 2015 and 2018 general elections held between 2003-2009 were examined, and the indicators were gross domestic product, current transfers, unemployment rate, public expenditures, money supply, domestic loans, public bank loans, inflation rate quarterly data has been used. The models and assumptions developed by Alesina, Cohen and Roubini in 1992 were used and as a result of this some validity for Türkiye was determined. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Quantitative Research in Social Sciences is the property of Journal of Quantitative Research in Social Sciences / Sosyal Bilimlerde Nicel Arastirmalar Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study was carried out to determine the variation of bark thickness in a single tree in Natural Crimean Pine (Pinus nigra Arnold. subsp. pallasiana (Lamb.) Holmboe). Anatolian Black Pine is a thick-barked species. For this reason, it is important to reveal the values given for the volume, volume increase, and allowable cut of the species in a more reliable way. On the other hand, when it comes to technological developments to benefit from the bark in different ways in the future, determining the inventory values is another feature that makes the aforementioned species important. All these reasons bring Anatolian Black Pine to the forefront in terms of crustal thickness studies. In this direction, within the scope of the study, the relationships between breast height diameter and bark allowance, section height, and bark thickness parameters in different height groups for young and old trees were evaluated by the regression analysis method. The results obtained revealed that there were statistical differences between the diameter of the breast height diameter and the bark allowance, and between the section height and the bark thickness in terms of tree age and height groups.

Copyright of SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi is the property of Journal of Engineering Sciences & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Econder International Academic Journal is the property of Econder International Academic Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study basically consists of three stages. In the first stage, an elliptical microstrip antenna operating in the frequency range of 1 GHz - 10 GHz, where the variation in the conductivity value of the lung is high, is designed. In the second stage, a chest model in which a tumor with different diameters can be placed was created using the CST program. In the third stage, the transmitter and receiver antenna is placed in the most appropriate way for the chest model; depending on the diameter and number of the tumor, the echoes of the signal sent from the transmitter were recorded with the receiving antenna. The amplitude and time characteristics of the signal obtained in the case of a single tumor ranging from 1 mm in diameter to 30 mm in 1 mm intervals were extracted. The diameter of the tumor placed inside the lung was estimated by using the amplitude and time characteristics of the received signal. A new mathematical model has been proposed from the analysis results that give the tumor diameter 99.4% accuracy by multiple regression analysis. In the last stage of the study, the presence of more than one tumor in the lung was examined with eight different scenarios, and evaluations were made based on tumor diameters and locations. [ABSTRACT FROM AUTHOR]

Copyright of Online Journal of Recreation & Sports is the property of Online Journal of Recreation & Sports and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Şirketler faaliyetlerini gerçekleştirirken ortaya çıkan en önemli sera gazlarından birisi de karbondur. Karbon emisyonları küresel ısınma ve iklim değişikliğine olan etkisi nedeni ile emisyonunun azaltımına ilişkin pek çok düzenlemenin yapıldığı bir sera gazıdır. Gerek bu düzenlemeler gerekse çevresel sürdürülebilirlik nedeni ile günümüz şirketleri karbon emisyonlarını ölçmekte, açıklamakta ve emisyonların azaltımına ilişkin birçok faaliyet gerçekleştirmektedir. Bu çalışmada Borsa İstanbul’da faaliyet gösteren şirketlerin karbon emisyonu ve temerrüt riski arasında bir ilişkinin olup olmadığı eğer bir ilişki var ise bu ilişkinin şirketin temerrüt riski üzerindeki etkisinin tespit edilmesi amaçlanmıştır. Bu amaçla şirketlerin toplam karbon emisyonları bağımlı değişken olarak belirlenmiş ve Merton modeli ile hesaplanan temerrüde olan uzaklık (DD) değişkeni ile regresyon analizine tabi tutulmuştur. Analizde varlıkların getirisi, kaldıraç ve şirket büyüklüğü kontrol değişkenleri olarak belirlenmiştir. Analiz sonuçlarında karbon emisyonlarının temerrüt riski üzerinde anlamlı bir etkisi olduğu görülmüştür. Şirketlerin regresyon katsayılarına bakıldığında karbon emisyonu arttıkça temerrüt riski artmaktadır. Kontrol değişkenleri ile temerrüt riski arasında da anlamlı ilişkiler bulunmuştur. Karbon emisyonlarının temerrüt üzerindeki anlamlı etkisi nedeni ile işletme kararlarında karbon yönetiminin ve azaltımının da dikkate alınması gerektiği görülmektedir.

In this study, single and double entry over- and under-bark tree volume equations have been developed for Kazdağı Fir (Abies nordmanniana subsp. equi-trojani) stands within the boundaries of Safranbolu Forest Enterprise. The over- and under-bark volume values of 153 sample trees taken from different stand structures were used as the study material. Ten tree volume equations, five single- and five double-entry, were developed for over- and under-bark tree volume estimations. Four goodnes-of-fit criteria, including adjusted coefficient of determination, bias, mean absolute error, and root mean square error, were used to determine the most successful models. The suitability of the equations developed for the region was checked with an independent data set as well Wilcoxon test, and it was concluded that the equations were suitable for the study area (p>0.05). All tree volume equations proposed for the region had a coefficient of determination value over 0.95. In addition, the mean bias of the single- and double-entry models found to be the most successful for the region were calculated as -0.0211 m3 and -0.0122 m3 for the over-bark volume estimations, and -0.0201 m3 and 0.0045 m3 for the under-bark volume estimations, respectively. Single- and double-entry tree volume tables were prepared for over- and under-bark volume estimations by using the successful equations obtained as a result of the study.

Different structural and spatial features such as type of housing unit, age of housing unit, size of housing unit, number of rooms, number of bathrooms, construction quality, heating system, parking lot, quality of public services, proximity to centers, distance to health and education facilities, transportation facilities, crime rate, satisfaction with social activities, landscape, environment, pollution and airport noise affect the prices of the housing units. Atakoy is one of the important residential areas of Istanbul with a high quality of life, due to the richness of its green areas and its urban texture, the closeness to centers, high quality of transportation and urban services. The lack of vacant land, the high demand and the high occupancy rate in the region have increased the housing prices considerably, and the importance of the regional housing market. The aim of the study is to determine the characteristics of housing unit that may affect the housing prices in Atakoy. In this context, multiple regression analysis has been made with the data which consist of physical information about 149 housing units for sale in the region and it has been examined which features related to the housing unit how much may affect the housing prices. [ABSTRACT FROM AUTHOR]

Çıplak İstatistik (Kitap incelemesi) Dartmouth College'daki Rockefeller Center'da öğretim görevlisi ve politika uzmanı Charles Wheelan'ın kaleme aldığı ve 2012 yılında yayınladığı 'Çıplak İstatistik' kitabı Buzdağı Yayınevi tarafından Ali Atav çevirisiyle 2018'de Türkiye'de yayınlandı. Çıplak İstatistik; ortalama, medyan, standart sapma, olasılık, korelasyon, merkezi limit teoremi ve regresyon analizi gibi konularda pek çok istatistiksel aracın gerçekte ne olduğunu ve hayatımızda neye karşılık geldiğini formüllere boğulmadan anlaşılır bir dille anlatıyor. Bu değerlendirme yazısında; yazarın kitapta ele aldığı konu başlıklarını bir istatistik öğrencisinin anlatımıyla tek tek ele alıp değerlendirmesi yapılacaktır. [ABSTRACT FROM AUTHOR]

Copyright of HAK İŞ International Journal of Labor & Society is the property of HAK-IS International Joumal of Labour & Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study aims to investigate whether there is a significant relationship between inventory management and the profitability of enterprises operating in the manufacturing sector. The primary purpose of businesses is to maximize firm value. For this purpose, they want to determine the most accurate method to increase profitability by using their assets efficiently. The practical and efficient use of asset stocks with the least liquidity among current assets is thought to affect their profitability positively. The financial ratios of companies in the manufacturing sector traded on the BIST between 2019-2021 have been taken as data, and multiple regression analysis is used as the analysis method. The findings show a significant negative relationship between the stock/current assets ratio and profitability for all three years. A positive relationship is found with the 2019 net sales growth rate and a negative relationship with stock holding time. A positive and significant relationship is found between profitability and net sales rate for 2020. In summary, it can be said that businesses can increase their profitability by reducing their stocks.

Bu çalışmada özellikle otomotiv endüstrisinde çift fazlı çelik sacların birleşiminde en sık kullanılan nokta direnç kaynak yöntemi tercih edilmiştir. Yapılan işlemler 5 ve 7 kA kaynak akımlarında, 2-6 bar elektrot basınç değerlerinde oluşturulmuştur. Farklı kaynak parametrelerinin kaynak metali sertlik değeri üzerindeki etkileri çoklu doğrusal regresyon analizi ile incelenmiştir. Gerçekleştirilen bu analiz sonucunda elde edilen korelasyon tablosu ve ANOVA analiz değerleri yorumlanmıştır. Kaynak akımı ve elektrot basıncının önem dereceleri belirlenerek, kaynak metali sertlik değeri üzerindeki etkileri karşılaştırılmış ve belirlenen etki değerlerine göre çoklu doğrusal regresyon modeli oluşturulmuştur. İstatistiksel analiz sonuçlarına göre sertlik değerine etki eden en önemli değişkenin kaynak akımı olduğu görülmüştür.

ÖZ: Finans sektöründe teknolojik yenilikleri etkin bir şekilde kullanan ve uygulayan şirketler finansal teknoloji (FinTek) şirketi olarak ifade edilmektedir. FinTek şirketleri, genel olarak günümüzde ödeme, API sağlayıcıları, kripto para, bireyler arası borçlanma, muhasebe, denetim, kişisel finans, ulusal/uluslararası para transferleri, kitlesel fonlama, kredi gibi faaliyetlerde bulunmaktadır. FinTek şirketlerinin geleneksel finans şirketlerine rakip olup olmayacakları veya beraber hareket edip etmeyecekleri konusu halen bir tartışma konusudur. Bu tartışma nasıl sonuçlanırsa sonuçlansın neticede FinTek şirketleri de geleneksel olarak ifade edilen mevcut finans sektöründeki şirketler gibi analizlerle araştırılmaktadır. Literatürde performans ölçümünde en sık kullanılan yöntem oran analizi yöntemidir. Bu çalışmanın amacı, KBW NASDAQ Finansal Teknoloji Endeksinde (KFTX) faaliyet gösteren FinTek şirketlerinin finansal oranları ile kârlılık arasındaki ilişkinin araştırılmasıdır. NASDAQ Finansal Teknoloji Endeksi, KBW Yatırım Bankası, Stifel finansal şirketi ve Nasdaq tarafından 2016 yılından itibaren ortaklaşa açıklanan ve ağırlıklı olarak büyük veri, dövize dayalı işlemler ve ödeme ile uğraşan etkili FinTek şirketlerini içeren FinTek endeksidir. KBW’ye göre, bu şirketler ABD finans sektörünün %18’ini oluşturmakta ve 785 milyar dolarlık piyasa değerine sahiptir. KBW NASDAQ Finansal Teknoloji Endeksindeki şirketlerinin 2016-2021 yılları arasındaki finansal tablolarından elde edilen finansal oranlar çalışmada kullanılan değişkenlerdir. Çalışmanın analiz kısmında değişkenler arasındaki ilişkiyi ölçmek için panel regresyon modelleri kullanılmıştır. Çalışmada oluşturulan modellerdeki bağımlı değişkenler aktif kârlılığı (ROA) ve öz sermaye kârlılığıdır (ROE) ve bağımsız değişkenler ise kaldıraç oranı, cari oran, brüt kâr marjı, aktif devir hızı, alacak devir hızı ve borç devir hızıdır. ABSTRACT: Companies that effectively use and implement technological innovations in the financial sector are referred to as financial technology (FinTech) companies. Today, FinTech companies generally are engaged in activities such as payment, API providers, crypto money, interpersonal borrowing, accounting, auditing, personal finance, national/international money transfers, crowdfunding, and loans. The issue of whether FinTech companies will compete with traditional financial companies or act together is still a matter of debate. No matter how this discussion turns out, FinTech companies are also researched with analyses like the companies in the traditionally expressed financial sector. In the literature, the most frequently used method in performance measurement is the ratio analysis method. The aim of this study is to investigate the relationship between the financial ratios and profitability of FinTech companies operating in the KBW NASDAQ Financial Technology Index (KFTX). The NASDAQ Financial Technology Index is a FinTech index jointly announced by KBW Investment Bank, Stifel Financial Corporation and Nasdaq in 2016, and includes influential FinTech companies predominantly engaged in big data, currency-based transactions and payment. According to KBW, these companies make up 18% of the US financial sector and have a market capitalization of $785 billion. The financial ratios obtained from the financial statements of the companies in the KBW NASDAQ Financial Technology Index between the years 2016-2021 are the variables used in the study. In the analysis part of the study, panel regression models were used to measure the relationship between the variables. The dependent variables in the models created in the study are return on assets (ROA) and return on equity (ROE) and the independent variables are leverage ratio, current ratio, gross profit margin, asset turnover, receivables turnover and debt turnover.

The aim of this study is to determine the factors affecting the consumption preferences of Erzincan tulum cheese labeled with geographical indications of consumers residing in Erzincan. In the research, face-to-face interviews were conducted with 271 consumers residing in Erzincan. The collected data were used to create descriptive statistics and frequency tables. Factors affecting Tulum cheese consumption were determined by multi-linear regression analysis. It was concluded that the dependent variable, the amount of Tulum cheese consumption, was affected by parameters such as the presence of acquaintances living in the village, the average income of the family, the average monthly expenditure of the family, the frequency of consumption of white cheese, the frequency of consumption of cheddar cheese, the amount of consumption of white cheese, the amount of consumption of cheddar cheese, the price of Tulum cheese, the brine of Tulum cheese, the geographical indication of Tulum cheese, and the sales point of Tulum cheese. The explanation rate of the variables in the consumption of tulum cheese in the created model was at the level of 77.50%, and it was determined that it was significant according to the analysis of variance (ANOVA) solution. As a result, it is suggested that informative studies about the product for Tulum cheese and explaining its benefits in terms of health will contribute to the increase in the amount of consumption. [ABSTRACT FROM AUTHOR]

Copyright of Erzincan University Journal of Education Faculty / Erzincan Üniversitesi Egitim Fakültesi Dergisi is the property of Erzincan University Faculty of Education Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of International Journal of Management Academy is the property of Uluslararasi Yonetim Akademisi Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, the effects of acidic and basic tuff additives on the consistency limits and swelling potential of high plasticity clay and the relationship between these properties were investigated. For this purpose, samples containing 5, 10, 15 and 20% acidic tuff and basic tuff additives were compressed at optimum water content, and the consistency limits, swelling pressure and swelling percentage were determined before and after curing for 28 days. The relationship of swelling pressure and swelling percentage changes with consistency limits in pure clay and tuff added samples was investigated. As a result of the experimental studies, decreases in both LL and PI values, and increases and decreases in PI values have occurred with increasing additive ratio and curing effect. Swelling pressure and swelling percentage values of the samples also decreased with increasing additive ratio. According to the results of the regression analysis, it was determined that there were very strong positive relationships between LL, PL and PI of the acidic tuff added samples, with swelling pressure and swelling percentage. In the basic tuff added samples, there was a very strong positive relationship between LL and PI with swelling pressure and swelling percentage, but no significant relationship was found between PL with swelling pressure and swelling percentage. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to obtain morphometric measurements of adult human hip bones, examine the relationship among these measurement parameters, and develop regression equations to estimate the acetabular dimensions for acetabular reconstruction Material and Method: Seventy-eight (39 right and 39 left) dry hip bones of unknown age and gender located in the laboratory of Çukurova University Faculty of Medicine, Department of Anatomy, were included in the study. Eleven hip bones with fractures, deterioration, deformities, and defects that would affect the measurements were excluded from the study. In our study, 14 morphometric measurements of hip bones were obtained. IBM SPSS program was used for statistical analysis. Results: Single and multiple regression equations were developed from the hip bone morphometric measurements for the estimation of the morphometric measurements of the acetabulum. The standard error of estimate (SEE) values ranged from ±1.818 mm to ±3.546 mm in single regression equations, and between ±1.633 mm and ±2.107 mm in multiple regression equations. A lower SEE value was obtained in multiple regression equations than in single regression equations. Conclusion: The regression equations developed in this study will allow us to obtain personalized measurements, which will aid clinicians in the correct and safe placement of the implant in hip replacement surgeries as well as in the prevention of complications with the use of appropriate prostheses.

With the development of technology, cryptocurrency exchanges have become one of the exchanges that people use to earn more income. Technical and fundamental analysis methods are used while trading in stock markets. Technical analysis is the process of predicting future price movements based on historical data. When very large data is encountered during technical analysis, the analysis of the data becomes difficult and the probability of the data to be obtained as a result of technical analysis increases. As a result of this situation, investors who cannot analyze big data correctly are more likely to suffer big losses. Cryptocurrency prediction is valuable both for investors to make the right decision and because it is open to applications in the scientific field. For this reason, in this study, a price prediction study was carried out by choosing 3 cryptocurrencies among the cryptocurrencies with the highest cryptocurrency activity. Selected cryptocurrencies; Bitcoin, Ethereum and Cardano. Due to the large size of the data and the analysis of decision factors, the closing value of the next day was estimated by using the opening, closing, smallest and largest values of these cryptocurrencies with Artificial Neural Networks and Regression Analysis methods. Afterwards, a comparison was made between the estimated values and the actual values. As a result of the study, it was observed that the estimation study made with Artificial Neural Networks performed more successfully than the estimation study made with Regression Analysis. [ABSTRACT FROM AUTHOR]

Carbon is one of the most important greenhouse gases that emerge when companies run their activities. Carbon emissions are the greenhouse gas in which many regulations are made to reduce emissions due to its effect on global warming and climate change. Due to both these regulations and environmental sustainability, in recent years, companies need to measure and explain carbon emissions and try to reduce their emissions. In this study, it is aimed to determine whether there is a relationship between carbon emissions and default risk of companies operating in Borsa Istanbul, and if there is, the effect of this relationship on the company's default risk will be examined. Therefore, the total carbon emissions of the companies were determined as the dependent variable and the distance to default (DD) variable calculated with the Merton model that is obtained by regression analysis. In the analysis, return on assets, leverage and firm size were determined as control variables. The results show that carbon emissions have a significant effect on the default risk. Moreover, the regression coefficients of companies indicate that while the default risk increases, carbon emissions increase as well. Moreover, since there is a significant relationship between control variables and default risk, companies should consider reducing and to manage carbon emissions while making decisions. [ABSTRACT FROM AUTHOR]

Bu çalışmada çok değişkenli uyarlanabilir regresyon eğrileri (MARS) ve TreeNet gradyan arttırma makinesi (TreeNet) isimli regresyon tabanlı yöntemler kullanılarak çözünmüş oksijen (ÇO) konsantrasyonu modellemesi amaçlanmıştır. Modelleme çalışmasında kentsel atıksuları bünyesine alarak yer yer kirlenen Harşit Çayı (Gümüşhane) üzerinde belirlenmiş altı su kalitesi gözlem istasyonunda, 15 gün aralıklarla ve 24 kez yerinde gerçekleştirilen ÇO konsantrasyonu (mg/L), sıcaklık (°C), pH ve elektriksel iletkenlik (mS/cm) ölçümleri yanı sıra akarsudan alınan su örneklerinde laboratuvarda gerçekleştirilen sertlik (°dH) tayinleri neticesinde elde edilen veriler kullanılmıştır. Elde edilen veri setinin % 80’i kurulan modellerin eğitilmesinde geriye kalan % 20’si ise söz konusu modellerin test edilmesinde kullanılmıştır. Kurulan modellerin eğitim ve test veri seti performanslarını değerlendirmek amacıyla ortalama karesel hatanın karekökü (OKHK), ortalama mutlak hata (OMH), ortalama rölatif hata (ORH) ve determinasyon katsayısı (R2) performans istatistikleri kullanılmıştır. En düşük OKHK, OMH ve ORH ile en yüksek R2 değerleri eğitim veri seti için sırasıyla 0,2247 mg/L, 0,0666 mg/L, % 0,66 ve 0,9995 olarak TreeNet yönteminden, test veri seti için ise 0,2911 mg/L, 0,2336 mg/L, % 2,27 ve 0,9992 olarak MARS yönteminden elde edilmiştir. Her iki veri seti için ortalamalar dikkate alındığında ise, MARS yönteminden elde edilen performans değerlerinin TreeNet yönteminden elde edilenlere kıyasla daha iyi olduğu sonucuna ulaşılmıştır.

Tüm dünya, 31.12.2019’da Çin’de ilk vakanın tespiti ile başlayan Covid-19 pandemisi ile mücadele içindedir. Pandemi Ocak 2021 tarihine kadar 85 milyon üzerinde onaylanan vakaya ve 1,8 milyonun üzerinde ölüme neden olmuştur. Çalışmanın araştırma sorusu şöyledir: “Ülkelerin ekonomik, sosyal ve çevresel refahını (sağlık performansı ve sağlık güvenliği de dahil olmak üzere) ölçümleyen küresel endekslerdeki puan ve konumları, pandemide karşılaştıkları sonuçlar için bir açıklama veya tahmin sağlayabilir mi?” Bir diğer deyişle ülkeler, sağlık alt yapısı açısından belli bir donanımda ise bir pandemiye hazırlıklı mıdır? Bu soruya dayanan amaç doğrultusunda, ülkelerin sağlık alanında potansiyel gücünü, performanslarını ve toplumsal sağlık refahını ölçümleyen ve kıyaslamalı olarak sıralayan iki temel küresel endeks kapsama alınmıştır: Küresel Sağlık Güvenlik (KSG) Endeksi ve Sürdürülebilir Kalkınma Amaçları (SKA) Endeksi. Bu küresel endekslerin, pandeminin etkisini tahminleme için uygun ve yeterli olup olmayacağı değerlendirilmeye çalışılmıştır. Tahminleme modeli için Doğrusal Regresyon Analizi uygulanmıştır. Literatüre göre seçilen bağımsız değişkenler arasında anlamlı korelasyonlar bulunmuştur. Çoklu doğrusal bağlantı problemi nedeniyle önce Temel Bileşenler Analizi (TBA) uygulanmıştır. Faktörlerdeki lider değişkenler, bağımsız değişken olarak regresyon modeline alınmıştır. Bu çalışmanın, küresel endekslerin pandemiye hazırlıklı olma durumunu açıklamadaki uygunluğu konusuna ışık tutması beklenmektedir. Araştırma sonuçlarına göre, eksikliği farkedilen göstergelerin ilgili kuruluşlarca endekslere dahil edilmesi ve hesaplamaların yeniden yapılandırılması açılarından da yol gösterici olacaktır.

This empirical research aimed at establishing the effect of capital mix on the financial performance of ten chosen manufacturing firms among companies listed on the Nigerian Exchange (NGX) for twelve years period, 2009 to 2020. Secondary data were extracted from the audited accounts and reports of the chosen firms. This research employed descriptive and inferential statistical analyses for data estimation. The results of this work reveal that debt in relation to equity (DER) has insignificant adverse effect on return on asset (ROA) of the selected firms. Contrarily, DER has a direct significant effect on return on equity (ROE) and a direct insignificant effect on the net profit margin (NPM) of the sampled manufacturing companies. Total debt to total assets (TDTA) has positive but insignificant effect on all the financial performance indicators. The study also found that short-term debt to total assets (SDTA) and long-term debt to total assets (LDTA) have negative negligble effect on all the dependent variables. The outcomes of the study imply that the management of these companies need to always be guided appropriately in their capital mix decisions in order to optimize their financial performance. Therefore, the main thrust of this study is that optimal capital structure is essential for the profitability of manufacturing companies in Nigeria. [ABSTRACT FROM AUTHOR]

Since the concept of globalization comprise parameters such as capital flows, technology, employment, cultural and political relations in international markets, the change in the globalization process also affects the economies of the countries. Based on these effects, the relationship and direction between the economic, social and political globalization index and subparameters between countries and the Gross Domestic Product (GDP) variable, which is an indicator of economic growth, was analyzed using annual data for the period of 2000-2018 for 88 selected countries. In this study, Dumitrescu-Hurlin Panel Causality Test and Multiple Regression Model were used as methods. In referance to the findings obtained as a result of the analysis, a bidirectional causality relationship was detected between economic growth and economic, social, political globalization index and sub-parameters. Moreover, as a result of the regression analysis; apart from financial and political globalization index, a high level of positive relationship was detected between GDP and KOF globalization index. [ABSTRACT FROM AUTHOR]

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In this study, the stress-strain relationships of clayey soil were estimated by Duncan-Chang model, and the mathematical relationships between model parameters and freeze-thaw cycles were explained. By examining the correlations between the experimental study and the model outputs, it was determined to what extent the model was able to predict the stress-strain relationships of clay soils under freeze-thaw cycles. As a result, the relationship between the numbers of the freeze-thaw cycle and Duncan-Chang model parameters was revealed by using different curve fitting functions. Gray correlation analysis showed that the freeze-thaw effect on the model parameters cannot be ignored. By creating model parameters in the tangent deformation modulus of the Duncan-Chang model, the variation of stress-strain curves under freeze-thaw cycles was obtained with high correlations for unconsolidatedundrained soils. [ABSTRACT FROM AUTHOR]

It was discovered that the machinability of CoCrMo material, which is extensively utilized in the health-care business as an implant material, may be improved through research. Three distinct cutting tools and three different cutting speeds were employed in the dry machining experiment, with three different feed rates being used in combination with three different cutting speeds (DCMT from two different firms and DCGT inserts). Cutting tools with a wide range of mechanical qualities based on hardness and toughness are available on the market today. Throughout machining, the output of a machine is defined as the average of surface roughness (Ra) and cutting temperature (T), which is estimated as the result of an experimental research conducted during the machining process. The signal-tonoise ratio (S / N) recorded during the testing was used to evaluate the results of the tests. When determining the effect of variables on Ra and T, it was determined that the Analysis of Variance (ANOVA) technique would be used. With a precision ratio of %61,4 in the analysis of variance, the feed rate was shown to be the most effective factor on Ra, while the cutting speed was found to be the most effective factor on cutting temperature (%63,9). The smallest Ra values were identified when machining at the fastest possible cutting speed and feed rate, whilst the smallest T values were obtained when machining at the slowest possible cutting speed and feed rate, respectively. [ABSTRACT FROM AUTHOR]

The purpose of this study is to determine the factors affecting the cafe and restaurant preferences of consumers. In the study, it was planned to apply a questionnaire to the consumers who come to the cafes and restaurants in Ortahisar district of Trabzon. In this context, data were collected by applying face-toface and online questionnaires to 411 customers of nine cafes and restaurants in Trabzon. Descriptive analysis, explanatory factor analysis and multiple linear regression analysis were used as statistical methods. In the study, it was concluded that the factors of service, food quality and cleanliness, image, location and convenience have a significant effect on the consumers' cafe and restaurant preferences. Atmosphere, ambiance, price and menu variety were not effective on the consumers' cafe and restaurant preferences. This study will be useful for cafe and restaurant owners or managers and guide researchers who want to work on this subject. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Geographical Sciences / Coğrafi Bilimler Dergisi is the property of Cografi Bilimler Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Bu çalışmada nokta direnç kaynaklı DP1200 çeliğinin ideal çekme makaslama dayanımını elde etmek için farklı kaynak akımı ve elektrot basıncı parametrelerinin optimizasyonuna odaklanılmıştır. Kaynak prosesleri 5 kA ve 7 kA kaynak akımlarında, 2-6 bar elektrot basınçlarında gerçekleştirilmiştir. Kaynak parametrelerinin çekme makaslama dayanımı üzerindeki etkileri çoklu doğrusal regresyon analizi ile incelenmiştir. Yapılan bu analiz ile elde edilen korelasyon tablosu ve ANOVA analiz değerleri yorumlanmıştır. Kaynak parametrelerinin önem derecesi belirlenerek, çekme makaslama dayanımı üzerindeki etkileri karşılaştırılmış ve belirlenen etki değerlerine göre çoklu doğrusal regresyon modeli oluşturulmuştur. Deneysel sonuçlar çekme makaslama dayanımını etkileyen en önemli değişkenin kaynak akımı olduğunu göstermiştir. Kaynak akımı arttıkça çekme makaslama dayanımı artmıştır. Özellikle yüksek kaynak akımı değerinde, elektrot basıncının kritik değerine kadar çekme makaslama dayanımının arttığı, fakat kritik değerinin üzerinde dayanımda düşüş olduğu görülmüştür. Sıçramanın çekme makaslama dayanımı üzerinde negatif etkiye sahip olduğu gözlenmiştir.

Copyright of Gazi Journal of Economics & Business is the property of Gazi Journal of Economics & Business and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering & Architectural Faculty of Eskisehir Osmangazi University / Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi is the property of Eskisehir Osmangazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Academic Journal of Agriculture / Akademik Ziraat Dergisi is the property of University of Ordu, Faculty of Agriculture, Academic Journal of Agriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ege Üniversitesi Ziraat Fakültesi Dergisi is the property of Ege Universitesi, Ziraat Fakultesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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The coronavirus pandemic (COVID-19) has caused the biggest economic contraction in global economy since the Second World War. COVID-19 pandemic has forced governments to take unprecedented measures to prevent the spread and to protect their economies that presented a dilemma because of their conflicting outcomes. This paper investigates the presumption of health-economy trade-off due to COVID-19 by comparing the GDP declines and deaths in per million population in OECD countries and China. The empiric data shows the countries with the highest death rates have seen the largest economic downturns. The clustering analysis by using k-means algorithm finds that there are three partitions of countries for current account balances, GDP growth rate, and deaths in per million population. The countries with current account surpluses above 2.5% of GDP managed to limit their GDP decline below -15% and are in the same cluster. On the other hand, the countries with higher death rates and current account deficits group another cluster and saw GDP declines as above 15% except for USA and Brasil.

Bu çalışmada su sıcaklığı (T), özgül iletkenlik (Öİ) verilerinden hesaplanmış elektriksel iletkenlik (Eİ), pH ve debi (Q) verileri kullanılarak çok değişkenli uyarlanabilir regresyon eğrileri (MARS) ve regresyon analizi (RA) yöntemleri ile ÇO konsnatrasyonunun tahmin edilmesi amaçlanmıştır. MARS yönteminde en iyi tahmin değerlerini üreten temel fonksiyonlar ve denklemler belirlenmiş, RA yöntemi doğrusal, üs, üstel ve kuadratik olmak üzere dört farklı fonksiyona uygulanmış ve bu fonksiyonlara ait katsayılar hesaplanmıştır. Modelleme çalışmalarında Amerika Birleşik Devletleri’nin Oregon eyaletinin kuzey batısında yer alan Willamette Nehri’nin yan kollarından biri olan ve yaklaşık 2435 km2’lik bir havza alanına sahip Clackamas Nehri’ne ait Eylül 2016 − Ağustos 2017 dönemi günlük ortalama verileri kullanılmıştır. Her bir su kalitesi değişkeninin ÇO konsantrasyonu tahmin performansına etkisini belirlemek amacıyla sekiz farklı model oluşturulmuştur. ÇO konsantrasyonu tahmininde kurulan modellerin ve kullanılan yöntemlerin performanslarının değerlendirilebilmesi için çeşitli istatistikler (ortalama karesel hatanın karekökü, ortalama mutlak hata, saçılım indeksi ve Nash Sutcliffe verimlilik katsayısı) kullanılmıştır. Modelleme çalışmalarından elde edilen sonuçlar irdelendiğinde, MARS yönteminin RA yönteminden daha iyi sonuçlar verdiği anlaşılmıştır. Regresyon fonksiyonları içerisinden ise en başarılı tahmin sonuçlarının kuadratik fonksiyondan elde edildikleri ve MARS yöntemi ile elde edilen değerlere de oldukça yakın oldukları görülmüştür. ÇO konsantrasyonu tahmininde en etkili değişkenlerin T ve Q oldukları dolayısıyla en etkisiz değişkenlerin ise Eİ ve pH oldukları anlaşılmıştır. Model 3, Model 5, Model 7 ve Model 8’den elde edilen sonuçların birbirine çok yakın olması sebebiyle daha az değişken ile güçlü tahminler yapması ve daha sade bir model olması bakımından ÇO tahmininde Model 3’ün kullanılmasının daha avantajlı olacağı sonucuna varılmıştır.