The relationships between chlorophyll-a dynamics, certain physical and chemical variables in the temperate eutrophic Çaygören Reservoir, Turkey

The Çaygören Reservoir was sampled monthly from February 2007 to January 2009 at three stations to determine the relationships between the chlorophyll-a (Chl-a) dynamics and soluble reactive phosphorus (SRP), nitrate-nitrogen (NO3-N), ammonium-nitrogen (NH4-N), water discharge, water transparency, water temperature (T), specific conductance (SC) and pH. Thermal stratification occurred in the reservoir from May to September. The maximum chlorophyll-a concentrations were measured (using a YSI multi probe) in the fall and the minimum, SRP and NO3-N were significant among seasons (P0.01). The differences in the Secchi disk transparency were significant both among sampling stations and seasons (P<0.05). The results of this study suggest that high chl-a concentrations resulted from the increase in available light in the spring and deep mixing in the fall which provided nutrients needed for phytoplankton growth

A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey

[EN] The paper aims to compare the results of the selection/choice of cream separators by using multi-criteria decision-making methods in an integrated manner for an enterprise with a dairy processing capacity of 80 to 100 tons per day operating in the Turkish food sector. A total of 7 alternative products and 7 criteria for milk processing were determined. Criterion weights were calculated using entropy method and then integrated into TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions), GRA (Grey Relational Analysis) and COPRAS (Complex Proportional Assessment) methods. Sensitivity analyses were carried out on the results obtained from the three methods to check for their reliability. At the end of the study, similar alternative and appropriate results were found from the TOPSIS and COPRAS methods. However, different alternative but appropriate or suitable results were obtained from the GRA method. Sensitivity analysis of the three methods showed that all the methods used were valid. In the review of available and related literature, very few studies on machine selection in the dairy and food sector in general were found. For this reason, it is thought that the study will contribute to the decision-making process of companies in the dairy sector in their choice of machinery selections. As far as is known, this paper is the first attempt in extant literature to compare in an integrated manner the results of TOPSIS, COPRAS and GRA methods considered in the study.Özcan, S.; Çelik, AK. (2021). A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey. International Journal of Production Management and Engineering. 9(2):81-92. https://doi.org/10.4995/ijpme.2021.14734OJS819292Ahmed, M., Qureshi, M.N., Mallick, J., Kahla, N.B. (2019). 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A Comparison of Ordered and Unordered Response Models for Analyzing Road Traffic Injury Severities in the North-Eastern Turkey

Road traffic injuries are estimated to be one of the major causes of death worldwide and a majority of them occur in low- and middle income countries. In that respect, further studies that address to determine risk factors that may influence road traffic injury severities in the corresponding countries may contribute the existing road safety literature. This paper determines possible risk factors influencing road traffic injury severity in north-eastern Turkey. For this purpose, a retrospective cross-sectional study is conducted analysing 11,771 traffic accidents reported by the police during the sample period of 2008-2013. As the accident severity is inherently ordered, the data are analysed using both ordered and unordered response models. The estimation results reveal that several driver (age and education level), accident (speeding violation, avoiding manoeuvre and right-of-way rule), vehicle (bus/minivan, single-unit truck/heavy truck, private and single vehicles), temporal (time of day, morning peak, evening peak), environmental (summer and cloudy or rainy weather), geometry (asphalt road and road class type), and control characteristics (presence of crosswalk and traffic lights) were found to have an impact on injury severity. This paper is most probably the first attempt to analyse possible risk factors of road traffic injury severities in Turkey using both ordered and unordered response models. The evidence of this study may be valuable for future road safety policies in emerging countries

Examining the Relationship Among Economic Growth, Exports and Total Productivity for OECD Countries Using Data Envelopment Analysis and Panel Data Analyses

The main objective of this paper is to explore the relationship between Total Factor Productivity (TFP) and economic growth and exports for OECD countries for the sample period 1990-2013. For this purpose, firstly, TFP values were calculated using data envelopment analysis (DEA) for the corresponding countries within the availability of their labor force and fixed capital formation data for the relevant sample period. Secondly, several panel data analyses were performed to determine the impact of TFP values on economic growth and exports of OECD countries. Consequently, results reveal a statistically significant positive impact of TFP on both economic growth and exports for OECD countries

Baş düşmesi ile prezente olan motor nöron hastalığı

Motor nöron hastalığı, yutma, yürüme, konuşma ve nefes alma gibi işlevlerden sorumlu olan istemli kasları innerve eden motor nöronların tutulumu ile karakterize progresif nörolojik bir hastalıktır. En sık görülen formu amyotrofik lateral sklerozdur. Nörolojik muayene bulguları üst ve alt motor nöron dejenerasyonunu gösterir. Hastalığın tanısı için spesifik bir biyolojik marker bulunmamaktadır. Klinik özellikler elektromiyografik bulgularla birleştirilerek tanı konur. Literatürde az sayıda atipik prezentasyonlu motor nöron hastalığı olgusu bulunmaktadır. Bu yazıda boyun kaslarında progresif güçsüzlükle başlayan atipik bir motor nöron olgusu sunulmuştur.Motor neuron diseases are a group of progressive neurological disorders that destroy motor neurons that control voluntary muscle activity such as swallowing, walking, speaking and breathing. The common form of motor neuron disease is amyotrophic lateral sclerosis. Neurological examination presents specific signs associated with upper and lower motor neuron degeneration. In the absence of any biological marker, the diagnosis of motor neuron disease is based on clinical features, combined with the results of electromyography. Some patients of motor neuron disease with atypical presentation have been reported in the literature. We presented here a case of motor neuron disease with atypical presentation who had progressive weakness of the neck muscles

An investigation of export–import ratios in Turkey using spline regression models

This paper examines the use of spline functions in linear, squared, and cubic spline regression models and exhibits the estimation of spline parameters from data by ordinary least squares. Determination of the number and the location of knots is central to spline regression. In this paper, we initially propose a method based on the coefficient of determination R2 related to the estimation of knots in spline regression. This proposed method as applied to export–import ratio distributions in Turkey for the years 1923–2010 determines the knots, and linear, quadratic, and cubic spline regression models are established accordingly. Results reveal that spline regression models offer better results than polynomial regression models, and that the quadratic spline regression model is the best explanatory model for export–import ratio distributions in the smoothest spline regression models

Injuries related to animal sacrifice during the Feast of Sacrifice in Turkey

BACKGROUND: The Feast of Sacrifice is a significant annual religious festival in Muslim countries. In these festivals, thousands of animals are usually sacrificed by inexperienced individuals. Thus, many injuries occur during sacrificing of animals. OBJECTIVES: Describe injuries related to animal sacrifice or meat processing. DESIGN: Cross-sectional descriptive study. SETTING: Three hospitals in different cities of Turkey. SUBJECTS AND METHODS: Severity and type of injuries that occur during animal sacrifice or meat processing after the sacrifice and hospital costs. MAIN OUTCOME MEASURES: Identification and classification of sacrifice related injuries. SAMPLE SIZE: 301 injured individuals. RESULTS: The mean age of the patients was 42.5 (14.8) years and 83.1% of the subjects were male. Most (90.0%) injuries were penetrating injuries and 10.0% were blunt traumas. Upper and lower extremity injuries were identified in 77.4% and 17.9% of cases, respectively. Almost half of the injuries were on the left hand (49.8%). Almost all (96.6%) cases were treated and discharged from emergency services. Median hospital cost per patient was 103.14 Turkish Liras (35.95-852.66 Turkish Liras) (19.53 USD [6.80-161.48 USD]). CONCLUSIONS: Even though injuries related to animal sacrifice are usually caused by minor sharp objects, they can be severe and life threatening on rare occasions. To minimize the injuries that may occur during this period, public education and more convenient sacrifice centers may be helpful. LIMITATIONS: Small sample, single country, and short duration of the study. CONFLICT OF INTEREST: None. © 2020, Annals of Saudi Medicine, Saudi Arabia. This is an open access article under the Creative Commons Attribution-NonCommercialNoDerivatives 4.0 International License (CC BY-NC-ND). The details of which can be accessed at http:// creativecommons. org/licenses/bync-nd/4.0

Inferior vena cava and pulmonary artery diameters for prognosis of Coronavirus disease

Aim: In this study, we aimed to analyze the relationship between pulmonary artery (PA) and inferior vena cava (IVC) diameters in non-contrast chest computerized tomography (CT) images of patients with coronavirus disease 2019 (COVID-19) and overall survival. Material and Methods: This retrospective study consisted of 404 consecutive patients who underwent chest CT after admission to the emergency department between May 1 and June 31. 2021. CT measurements were performed by two radiologists. The prognostic value of PA and IVC diameters, the computerized tomography severity score (CT-55), quick sequential organ failure assessment (qSOFA), and confusion, urea, respiratory rate, blood pressure, and age >= years (CURB-65) score on overall survival were examined. Results: The median age of the participants was 62 years (49-72), and 196 (48.5%) were male. Of the 404 patients, 61 died after admission. While main-PA, left-PA, right-PA (p < 0.001) and NC-transverse (IVC-Tr) (p = 0.045) diameters were larger and statistically significant in the patients who died (AUC; 0.686, 0.722, 0.746, and 0.581, respectively), a statistically significant difference was not detected in terms of IVC anteroposterior diameter (IVC-AP) (p = 0.053) and the IVC-Tr/AP (p = 0.754) ratio. There was a statistical difference in mortality in ciSOFA, CURB-65, and CT-SS values (AUC; 0.727, 0.798, and 0.708 p < 0.001, respectively). Discussion: PA diameters measured from chest CT images at admission (main-PA >= 26.5 mm, right-PA >= 22.9 mm, and left-PA >= 21.6 mm) and the IVC-Tr diameter (>= 34.5 mm) can be used as mortality predictors for COVID-19, along with other prognostic scores

Assessing Postgraduate Students’ Satisfaction with Quality of Services at a Turkish University Using Alternate Ordered Response Models

The aim of this study is to determine postgraduate students’ general satisfaction with the quality of academic services. For this purpose, a written-questionnaire was conducted to 400 graduate students at Atatürk University, Turkey. The dependent variable of the study was the satisfaction level of graduate students which has a natural order. Hence, four different ordered logit models were performed to determine factors that may influence satisfaction levels of graduate students with the quality of academic services. Along with standard ordered logit model, other alternative ordered response models were also performed including generalized ordered logit model, partial constrained generalized ordered logit model, and heterogeneous choice model. Results reveal that a variety of factors are associated with quality of higher education services including age group, tuition fee, undergraduate education, monthly individual income, monthly household income, type of graduate school, current status of postgraduate education, advisor’s academic degree, and time elapsed for postgraduate education. The outcome of this study may give a valuable information for decision-makers of higher education institutions and may provide a benchmarking option in terms of past, present and future higher education policies