Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting.

With the increasing penetration of grid-scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization. Addressing this challenge, this study proposes a novel forecasting model that combines the long-short-term memory (LSTM) neural network with two signal decomposition techniques. The EMD technique effectively extracts stable, stationary, and regular patterns from the original wind power signal, while the VMD technique tackles the most challenging high-frequency component. A deep learning-based forecasting model, i.e. the LSTM neural network, is used to take advantage of its ability to learn from longer sequences of data and its robustness to noise and outliers. The developed model is evaluated against LSTM models employing various decomposition methods using real wind power data from three distinct offshore wind farms. It is shown that the two-stage decomposition significantly enhances forecasting accuracy, with the proposed model achieving R2 values up to 9.5% higher than those obtained using standard LSTM models

COVID-19 Pandemic: A comparison of adult and pediatric populations

Aim:  Couple of pneumonia cases were reported in a short period in Wuhan, China. The cases were revealed to be associated with a different coronavirus type was named SARS-CoV-2 and the disease was identified as Covid-19.  It is known that the disease occurs in all age groups. We aimed to evaluate the differences in clinical and laboratory features between adult and pediatric patients. Method: The study is a retrospective cross-sectional study and consists of 206 patients with a definitive diagnosis of Covid-19 confirmed by a positive real-time reverse-transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2. They hospitalized in health institutions connected to City Health Administrative of Bolu, Turkey between 11.03.2020 and 19.04.2020. The number of the pediatric patients (0-17 age group) was 106, that of the adult patients (18 and above age group) was 100. Data concerning the patients consisted of age, symptoms, laboratory parameters such as hemogram, biochemistry, coagulation. Results: The mean values of platelet (PLT), platocrit (PCT), percentage of monocytes (MONO %) and MONO in the “0-17” age group were found to be significantly higher than the mean values in the “18 and above” age group. The hemoglobin (HGB) mean value of the “0-17” age group was significantly lower than that of the “18 and above” age group. The mean C - reactive protein (CRP) value of the “0-17” age group (4.55; min: 1.20 – max: 11.80) was significantly lower than that of the “18 and above” age group (5.35; min 1.25- max: 19.77) with no statistically significance. In pediatric group, the most common symptoms were other symptoms like diarrhea, vomiting and joint pain whereas the adult patients had fever and cough often with statistically significant. Conclusion: Clinical findings and laboratory abnormalities in Covid-19 are less common in children. Although it seems that Covid-19 is less symptomatic in children, they are also affected by the disease. Performing RT-PCR test based on the contact history of the children may help to minimize morbidity with an early diagnosis. Multicenter studies with more numbers of patients should be performed

İSTATİSTİKSEL YAKLAŞIMLA TRAFİK KAZALARINDAKİ ÖLÜM VE YARALANMA DURUMLARININ KUSURLU UNSURLARLA İLİŞKİLERİNİN İNCELENMESİ

İSTATİSTİKSEL YAKLAŞIMLA TRAFİK KAZALARINDAKİ ÖLÜM VE YARALANMA DURUMLARININ KUSURLU UNSURLARLA İLİŞKİLERİNİN İNCELENMESİÖzetZaman ilerledikçe insanların ulaşım alanındaki gereksinimleri artmaktadır. Bu gereksinimler yeni teknolojilerle birlikte farklı ulaştırma alanlarında yeni yatırımları da doğurmuştur. Tüm bu farklı alanların yanında karayolu taşımacılığı hâlâ tüm dünyada popülaritesini korumakta ve bununla birlikte karayollarında seyreden araç sayılarında da hızlı bir artış görülmektedir. Bu artışla birlikte trafik yoğunluğu artmış ve trafikte güvenlik kavramı daha önemli hale gelmiştir. Trafik güvenliğini tehlikeye atan ya da başka bir deyişle trafik kazalarına sebep olan unsurlar farklı kaynaklarda farklı şekillerde sınıflandırılmıştır. Bu çalışmada, Türkiye İstatistik Kurumu (TÜİK) tarafından yapılan trafik kazaları ile ilgili araştırmalarda esas alınan beş kusurlu unsurun kaza sonucu meydana gelen ölüm ve yaralanma sayıları üzerinde etkileri incelenmiştir.  Bu etkiler TUİK verilerine dayanılarak araştırılmış ve sonuçlar farklı açılardan değerlendirilmiştir. Kaza sonucu meydana gelen hem ölü hem de yaralı sayısı üzerinde beş unsurun bir arada etkisinin en fazla olduğu gözlemlenmiştir. Bunun yanında yaya kusurunun etkisi ölüm sayıları üzerinde ihmal edilebilecek düzeyde düşüktür. Araç kusurunun hem ölüm hem de yaralı sayıları üzerinde doğrudan en etkili unsur olmasının yanında, ikinci etkili unsur değişim göstermektedir. Ölüm sayılarında ikinci kusurlu neden yol kusuru, yaralı sayılarında ise sürücü kusuru olmuştur. Çalışmada ölü sayısına etki eden unsurların incelendiği regresyon modelleri arasında en yüksek belirleme katsayısı R2=0,640, yaralı sayısına etki eden unsurların incelendiği regresyon modelleri arasında da en yüksek belirleme katsayısı R2=0,736 değerleri elde edilmiştir.Anahtar Kelimeler: İstatistik, Doğrusal Regresyon, Trafik Kazaları, Kusurlu UnsurlarINVESTIGATION OF RELATIONSHIP BETWEEN DEATH AND INJURY STATUS AND DEFECTIVE ELEMENTS IN TRAFFIC ACCIDENTS BY STATISTICAL APPROACHAbstract        As time progresses, the needs of people in the field of transportation are increasing. These requirements, along with new technologies, have also led to new investments in different transport areas. Next to all these different fields the road transport still maintains its popularity on all over the world and it is seen a rapid increase in the number of vehicles on the roads. With this increase, traffic density has increased and the concept of security in traffic has become more important. Elements that put traffic safety at risk or in other words cause traffic accidents are classified in different forms in different sources.        In this study, the effects of five imperfect factors which is uses in the researches relating to traffic accidents conducted by Turkey Statistical Institute (TSI) on the number of deaths and injuries from the traffic accident were examined. These effects were investigated based on TSI data and the results were evaluated from different aspects. It was observed that the combination of the five factors on the number of both dead and injured from the traffic accident was the largest. Besides, the effect of pedestrian flaw on the number of deaths is low level enough to be neglected. Vehicle flaws are the most direct effect on both death and injured numbers; however, the second factor is changing. The second cause in death numbers is the road flaw, while in the injuries number is the driver fault. R2=0.640 and R2=0.736 have been obtained for best models among the regression models in which the elements affecting the number of deaths and injured were examined, respectively.Keywords: Statistics, Linear Regression, Traffic Accidents, Imperfect Factor

SOLUTION BLOWN OF PLA NANOFIBER CONTAINING OZONATED MORMODICA OIL AND ITS MICROCAPSULES TO OBTAIN ANTIBACTERIAL MEDICAL TEXTILES SURFACES

In the scope of the study, it was aimed to obtain antibacterial nanofiber surfaces containing Momordica oil, its ozonated oil form and its microcapsules forms. First of all, Mormodica oil was exposed to ozone gas for 135 min. After that, crude and ozonated mormodica oil were microencapsulated by using simple coacervation. Subsequently, %10 PLA polymer solution were prepared and used for obtaining PLA nanofiber surface by using solution blowing spinning. Besides, PLA polymer solution were mixed with crude mormodica oil, ozonated mormodica oil and their microcapsules forms and then these solutions were spun by using solution blowing spinning. Obtained ozonated oil, microcapsules and nanofiber surfaces were characterized via measurement of total unsaturated fatty acid amount in the oils, scanning electron microscope, FT-IR analysis and antibacterial activity test. The data showed that mormodica oil were ozonated. Microencapsulation process was done successfully and obtained nanofiber containing mormodica oil and its microcapsules. Moreover antibacterial activity showed that mormodica oil and ozonated mormodica oil showed antibacterial activity against to S.aureus and E.coli bacteria according to the disc diffusion method. The nanofiber surfaces containing ozonated oil and its microcapsules showed antibacterial activity against to S.aureus and E.coli bacteria according to the ASTM E 2149-01 method. As a result, it was obtained biodegradable nanofiber containing microcapsules and showing antibacterial activity

Study on factors affecting mortality in nonagenarian patients in orthopaedic surgery

Background: With medicine advancing, population is aging in the world. We encounter elderly patients in operating rooms more often. In this study, the aim was to investigate mortality and morbidity rates of patients 90 years of age or older within 1 year from the date of operation due to fractures.Methods: The study was performed retrospectively in the 3rd stage health institution. All patients that had fracture operation in the operating rooms of the orthopaedics department between 2011 and 2017 and that were 90 years or older on the day of operation were included in the study. Patients who were operated twice were excluded from the study.Results: Around 83 patients of which were included in the study. The mean age of the patients was 92.89±2.84. In-hospital mortality rate was 8.4%. The mortality rate within 3 months from the operation was 18.1%, 25.3% within 1 year, and 61.4% within 5 years or above. Author found that the mean survival period for the total of the surviving patients was 23.87±18.96 months. Author found that there was a meaningful causation between morbidity developing post-operation and in-hospital mortality, 3-month mortality, and 1-year mortality (p<0.05).Conclusions: Author think that it was important to recognize the fact that despite being more vulnerable, patients 90 years of age or older have a significant life expectancy post-hospital discharge. Author think that post-operation acute morbidity affects mortality rates and it was important to avoid factors that may cause acute morbidity in patients 90 years of age and older

MATHEMATICAL MODELLING OF PLACEMENT OF EMERGENCY PHONE CENTRES IN A CAMPUS NETWORK

Bir G grafında, seçilen bazı tepeler yardımıyla grafın tüm ayrıtlarını tanımlama graf örtüsü problemi olarak bilinir. Başka bir açıdan bakıldığında örtü problemi; sayılabilir bir küme üzerinde verilmiş bir bağıntıyı, bu kümenin minimum sayıda elemanını kullanarak tanımlama olarak düşünülebilir. Optimizasyon teorisinde; bir G grafının örtü kümeleri içinden en az elemanlısını bulmaya minimal örtü problemi adı verilir. Bu problem literatürde bir discrete optimizasyon problemi olarak bilinmektedir. Problem doğrusal programlama ile matematiksel olarak ifade edilebilir. Bu çalışmada iletişim ağı grafla modellenerek, bu ağda ilişkileri minimum sayıda elemanla tanımlayan graf örtüsü problemi ele alınmıştır. Örtü probleminin genel doğrusal programlama modeli verilerek çözüm araştırılmıştır. Daha sonra uygulama problemi olarak ele alınan, Ege Üniversitesi Kampüsünde güvenliği sağlamak amacıyla acil telefonlarının yerleştirilmesi problemi, bir örtü problemi olarak modellenmiştir. Elde edilen doğrusal programlama problemi WQSB programı yardımı ile çözülüp minimum sayıda hangi noktalara telefon yerleştirilmesi gerektiği hesaplanmıştır. In this study graph set covering problem which is a problem of defining relations in a network by using less number of objects, is examined by the aid of graphs that are used mostly in design of communication networks. Cover problem is also known as the distinct optimization problem in this field of study. The problem of placement of emergency phones in Ege University Campus to provide security is considered as a cover problem. The obtained linear programming problem is solved by WQSB and the result that at least number of places which a phone is required to be placed, is found

Investigation of the Pathogenesis and Treatment Efficiency of Bevacizumab-Induced Hypertension in the Rat Model

Bevacizumab is known to reduce Vascular Endothelial Growth Factor (VEGF) to undetectable levels when used in conjunction with chemotherapy. Hypertension is a frequent adverse effect of bevacizumab, although its mechanism(s) remain unclear. In this study, our aim was to examine the pathogenesis of bevacizumab-induced hypertension and to investigate the treatment efficacy of valsartan. A total of 24 Wistar Albino female rats were included in the study. Rats were divided into three groups with 8 rats in each, as follows: The control group, bevacizumab group and bevacizumab + valsartan group. Blood pressure, blood urea nitrogen and serum creatinine levels were measured, urine samples were collected for 24 hours statistical analyses were performed using IBM SPSS 20 software pack. Nephrectomy specimens in bevacizumab and bevacizumab + valsartan groups exhibited varying degrees of renal injury. Although valsartan was able to reduce the bevacizumab-induced rise in blood pressure, it could not prevent the development of nephropathy. Conclusions these findings suggest that hypertension occurring secondary to bevacizumab treatment in rats may be associated with mechanisms involving renal injury