Patient Specific Congestive Heart Failure Detection From Raw ECG signal

In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear second-order difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed record with different time of ECG records are used. All of the data rows are labelled with their belongings to classify much more realistically. SODPs are divided into different radius of quadrant regions and numbers of the points fall in the quadrants are computed in order to extract feature vectors. Fisher's linear discriminant, Naive Bayes, Radial basis function, and artificial neural network are used as classifier. The results are considered in two step validation methods as general k-fold cross-validation and patient based cross-validation. As a result, it is shown that using neural network classifier with features obtained from SODP, the constructed system could distinguish normal and CHF patients with 100% accuracy rate. KeywordsComment: Congestive heart failure, ECG, Second-Order Difference Plot, classification, patient based cross-validatio

Impact of the COVID-19 pandemic on return and risk transmission between oil and precious metals: Evidence from DCC-GARCH model

It is frequently discussed in the literature that the correlation between low-correlation assets under ordinary market conditions may increase during crisis periods. To contribute to the ongoing debates, this paper empirically examines risk transmission between oil and precious metal markets induced by the COVID-19 pandemic using the DCC-GARCH model. The findings reveal evidence of a significant risk transmission between oil prices and precious metal prices, particularly during the onset of the COVID-19 pandemic. The findings point out that the negative relationship between oil and all precious metals returns in the pre-COVID-19 period has changed with the effect of the pandemic. In this process, it is revealed that the negative relationship between oil and gold has strengthened, but the negative relationship between oil and silver has weakened. In addition, the correlations between oil and platinum and palladium turn positive. The empirical findings imply that investors and portfolio managers seeking portfolio diversification and hedging opportunities in a high-risk environment such as the COVID-19 pandemic should consider gold and silver assets for investment

Real estate preference infographics as big data visualization application

1 Bu çalışma 2020 yılında Marmara Üniversitesinde İlknur Esen Yıldırım danışmanlığında Elif Erkurt tarafından hazırlanan “Büyük Veri Görselleştirme ve Türkiye’de Konut Sektörüne İlişkin İnfografikler” başlıklı doktora tezinden türetilmiştir.Günümüz dünyasında büyük veri olgusunun gittikçe önem kazanması ile birlikte istatistikçilere, veri analistlerine ve bu analizleri mümkün kılacak teknolojik alt yapının geliştirilmesi için de yazılımcılara duyulan ihtiyaç artmaktadır. İlgili alan uzmanları için temel hedef, ele alınan büyük veriden rafine edilebilecek enformasyonu ortaya çıkarmak ve mümkünse bulguları kapsamlı, işlevsel ve sade görsellere yansıtabilmektir. Bu çalışmada, emlak sektörüne ilişkin bir uygulama üzerinde, büyük veri analizi ile üretilebilecek görsellerin, ilgili hedef kitleye sunabileceği önemli, hatta kimi zaman alternatifsiz kolaylığa dikkat çekilmeye çalışılmıştır. Bu amaçla; R programı yardımıyla, konut tercihini kolaylaştırıcı bir araç olarak, kullanımı kolay ve dinamik yapıda infografikler üretilmiştir. Böylelikle, konut satın almayı planlayan bireylerin konutun yaşı, yüzölçümü, oda sayısı, fiyatı gibi önemli buldukları kriterleri dikkate alan, veri değişimine duyarlı, iller/ilçeler arasında karşılaştırma yapılmasına imkân veren infografiklerden yararlanarak tercih yapabilmelerine olanak sağlanmıştır.Statisticians, data scientists and software programmers/engineers who develop technological infrastructure to enable performing analytics are in high demand with the increasing importance and usage of big data in the last decades. The main goal of subject matter experts is to extract actionable insight from big data, and if possible, to deliver these insights with effective and simple visualizations. This study aims to draw attention to important, even sometimes unrivaled convenience offered to the relevant target audience by visualizations, which were created with big data analysis on an application related to real estate sector. For this purpose, by means of R program, and as a tool to ease the housing selections; user-friendly and dynamic-structured infographics were created. Thus, individuals, who are planning to buy houses, are given the opportunity to make selections by using infographics which enable them to take essential criteria into consideration - such as the age of the property, area measures, number of rooms, price; are sensitive to data variations and allow to make comparison between cities/districts

A multidisciplinary approach to address climate-resilience, conservation and comfort in traditional architecture: The PROT3CT example

Traditional dwellings despite their environmental credentials, due to age, previous damage, and residents unable to afford even the limited maintenance allowed by restrictive legal framework, may offer poor thermal performance, which is expected to be further exacerbated by changing climate. More than 70% of Turkey’s built heritage stock is composed of traditional dwellings, which makes this stock able to create a major impact nationally on the building-related energy use, carbon emissions and population wellbeing. This research aims to develop an evidence-based multidisciplinary methodology for cost-effective retrofit of the traditional dwellings in Turkey, to improve energy performance, satisfy user expectations of comfort, and protect heritage value

In a real-life setting, direct-acting antivirals to people who inject drugs with chronic hepatitis c in Turkey

Background: People who inject drugs (PWID) should be treated in order to eliminate hepatitis C virus in the world. The aim of this study was to compare direct-acting antivirals treatment of hepatitis C virus for PWID and non-PWID in a real-life setting. Methods: We performed a prospective, non-randomized, observational multicenter cohort study in 37 centers. All patients treated with direct-acting antivirals between April 1, 2017, and February 28, 2019, were included. In total, 2713 patients were included in the study among which 250 were PWID and 2463 were non-PWID. Besides patient characteristics, treatment response, follow-up, and side effects of treatment were also analyzed. Results: Genotype 1a and 3 were more prevalent in PWID-infected patients (20.4% vs 9.9% and 46.8% vs 5.3%). The number of naïve patients was higher in PWID (90.7% vs 60.0%), while the number of patients with cirrhosis was higher in non-PWID (14.1% vs 3.7%). The loss of follow-up was higher in PWID (29.6% vs 13.6%). There was no difference in the sustained virologic response at 12 weeks after treatment (98.3% vs 98.4%), but the end of treatment response was lower in PWID (96.2% vs 99.0%). In addition, the rate of treatment completion was lower in PWID (74% vs 94.4%). Conclusion: Direct-acting antivirals were safe and effective in PWID. Primary measures should be taken to prevent the loss of follow-up and poor adherence in PWID patients in order to achieve World Health Organization’s objective of eliminating viral hepatitis

Epileptic state detection : Pre-ictal, inter-ictal, ictal

Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area of research. In this study, SecondOrder Difference Plot (SODP) is used to extract features based on consecutive difference of time domain values from three states of EEG (pre-ictal, ictal and inter-ictal), and Multi-Layer Neural Network classifier is used to classify these three classes. The proposed technique is tested on a publicly available EEG database and classified with Naive Bayes and k-nearest neighbor classifiers. As a result, it is shown that overall accuracy of 98.70% can be achieved by using the proposed system with Neural Network classifier.Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area of research. In this study, SecondOrder Difference Plot (SODP) is used to extract features based on consecutive difference of time domain values from three states of EEG (pre-ictal, ictal and inter-ictal), and Multi-Layer Neural Network classifier is used to classify these three classes. The proposed technique is tested on a publicly available EEG database and classified with Naive Bayes and k-nearest neighbor classifiers. As a result, it is shown that overall accuracy of 98.70% can be achieved by using the proposed system with Neural Network classifier

Uyuşturucu kullanımının sosyolojik boyutu uyuşturucuya yönelik talep azaltımı

Tez (Yüksek Lisans) -- Kırıkkale Üniversitesi78543

The sociological dimension and demand reduction of drug abuse

YÖK Tez ID: 261363Uyuşturucu madde bağımlılığına giden yol bireyin uyuşturucu maddeyi ilk defa almasıyla başlar. Zamanla birey aynı etkiyi hissedebilmek için daha fazla madde alma ihtiyacı duyar ve devam eden bu madde kullanım sürecinde uyuşturucu madde, beyin fonksiyonlarını ve davranış şekillerini etkileyerek zorlayıcı bir güç haline dönüşür. Uyuşturucu madde bağımlılığı zamanla uyuşturucu kullanımını geçici bir tercihten öte zaruri bir ihtiyaç haline getirir.Kullanılmaya başlanıldığında geçici bir haz duygusu yaşatan ancak zamanla vazgeçilemeyen bir alışkanlığa dönüşen uyuşturucu bağımlılığının sebepleri araştırıldığında bu sorunun sadece maddenin sarhoşluk verici etkisinden değil aynı zamanda sosyal sebeplerden de tetiklendiği düşünülmektedir. Özellikle modern toplumun getirdiği yenilikler ve güçlü olmayan toplum yapısı uyuşturucu maddelerin kullanımında katalizör görevi yapmaktadır.Bu çalışma yukarıda belirtilen farklı sebeplerden kaynaklanan madde bağımlılığının önlenebilmesi, talebin azaltılması, bireylerin maddelerin etkileri hakkında eğitilmeleri ve bağımlıların rehabilite edilebilmeleri için gerekli stratejileri ortaya koymaktadır.Çalışmanın sonuçları, madde bağımlığı ile toplumun sosyo-ekonomik durumu ve sosyal dinamikler arasındaki ilişkiye işaret etmektedir. Bu nedenle çalışmada, uyuşturucu madde bağımlılığı ve talep azaltımı ile, toplum odaklı mücadelede psiko-sosyal ve medikal bir yaklaşım içerisinde olma gerekliliği vurgulanmaktadır.Anahtar Kelimeler: Uyuşturucu, `uyuşturucu ile mücadele', `uyuşturucu ve toplum', bağımlılık, suçThe path to drug addiction begins with that first act of taking drugs. Over time, a person may need more of the drug to get the same effect. Drug seeking becomes compulsive, in large part as a result of the effects of prolonged drug use on brain functioning and, thus, on behavior. Drug addiction makes drug use a compelling need, not a casual choice.It is realized that the drug addiction is not only a problem arising out of the availability of such intoxicating drinks and drugs but it has a great deal to do with the social conditions which create the demand for or the need for consumption of such substances. Especially, the vulnerability of the modern society plays a catalytic role in promoting the consumption and abuse of narcotic and psychotropic drugs.This study displays the need for implementing strategies for prevention of drug addiction, drug reduction, educating the people about its ill effects and rehabilitation of the addicts.The findings of the study indicate to the relationship of drug addiction with the socio-economic conditions or the social dynamics of the population. Therefore, the approach is to recognize drug addiction as a psycho-socio medical problem, which can be best, handled through community based interventions.Key Words: Drug, `combating against drug?, `drug and society?, addiction, crim

Kültür mirasının yorumlanması alan çalışması : Boston Milli Tarih Parkı, A.B.D.

This study focuses on how cultural heritage interpretation can effectively be planned and operated as an integral part of preservation process. The ICOMOS Charter for the Interpretation and Presentation of Cultural Heritage Sites, which was initiated by the International Council on Monuments and Sites (ICOMOS), offers professional principles for effectively interpreting cultural heritage sites. This study apply these principles as analysis and evaluation criteria of the case study. The Charter principles include ‘access and understanding’, soundness of ‘information sources’, attention to ‘setting and context’, preservation of ‘authenticity’, planning for ‘sustainability’, concern for ‘inclusiveness’, and importance of ‘research, evaluation and training’. Considering the necessity of correlating these international principles with interpretation practices, this study analyzes and assesses interpretation at the Boston National Historical Park, a unit of the National Park Service in the US; and at the same time tests the practicality of the Charter principles. This park is composed of eight nationally significant historical sites located separately in an urban context. This study examines certain aspects of the park that affect the effectiveness of its interpretation activities i.e., management policies, organizational model, partnerships with stakeholders, fiscal resources, management planning, and interpretive planning. Besides on-site interpretation at three sites of the park - the Charlestown Navy Yard, Old South Meeting House and Paul Revere House- are analyzed in detail within to the ICOMOS Charter framework. Finally, recommendations have been developed for the ongoing work of the ICOMOS, for the Boston National Historical Park as well as for other cultural heritage sites.M.Arch. - Master of Architectur

Arkeolojik kültür mirasının bölgesel ölçekte risk değerlendirmesi İzmir metropolitan alan örneği

Archaeological heritage has been increasingly facing severe threats such as urbanization, infrastructure development, mass tourism, illicit digging, earthquakes, floods, and many others. As most of the risks deriving from natural and human factors affect large areas and aggregates of sites, archaeological heritage can be conserved only if it is managed at territorial scale based on priorities and through effective risk management strategies. Accordingly, a thorough assessment of factors contributing to the existence and levels of risks is the key for effective conservation and management of archaeological heritage. Hence, this thesis aims at developing a comprehensive methodology for risk assessment of archeological heritage at territorial scale. Following a qualitative assessment approach, and referring to the concepts of other disciplinary fields, this study defines the analytical framework, essential vi data, main procedure, and analysis tools for risk assessment. The proposed risk assessment methodology, which utilizes the Geographical Information Systems, includes the stages of identifying, categorizing and mapping natural, institutional and individual-induced hazards, assessing vulnerabilities to these hazards through physical, institutional and social indicators; and evaluating levels of risks and generating risk maps through thematic mapping. Besides, following the proposed methodology, a system is developed for the Assessment of Risks at Territorial Scale (ARTS) for archaeological heritage located in the Izmir Metropolitan Area, Turkey. Through this system, the levels of vulnerabilities and risks are identified and risk maps of archaeological sites are prepared. Successively, addressing present decision-making mechanisms in Turkey, integration of the system into existing archaeological heritage management system is proposed. As risk assessment is based on collecting and processing extensive amount of quantitative, qualitative and spatial data, the methodology can be developed further parallel to the researches and development of databases regarding natural and human-induced hazards and factors affecting vulnerabilities of archaeological assets.Ph.D. - Doctoral Progra