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The behavioral economics approach expands its domains in many areas such as consumer theory, game theory, financial markets, decision-making processes, and public policies. Behavioral finance, behavioral public policies, behavioral game theory may expressed as the outputs of the effect of behavioral economics. The consideration of the labor market through the behavioral economics approach is important for the development of the understanding of the field. The purpose of this paper is to point out the potentials of behavioral labor economics and analyze the labor supply within the framework of behavioral economics. In this regard, th . . .e scope of the study is limited by the labor supply. The findings of the study as follow: (i) full rationality is not valid to an accurate analysis in terms of labor supply decisions (ii) there are behavioral and cognitive biases in the labor market (iii) the behavioral economics approach has important contributions to understanding decision processes and behaviors of the labor supply (iv) it has a potential to improve theories in the field of labor and to develop alternative theories, (v) the labor economy is open to integrating and adapting to the approach of behavioral economics Daha fazlası Daha az

Validation of the Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) questionnaire for adults


Makale | 2022 | JOURNAL OF AFFECTIVE DISORDERS 326 , pp.249 - 261

Background: The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology “P-score”. Methods: The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1–4 items (“COH-FIT items”) were extracted from . . . validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed. Results: From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COHFIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex. Conclusions: COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health. Daha fazlası Daha az

İnşaat Sektöründe Faaliyet Gösteren Bir Firmada İnovasyon Stratejilerinin Belirlenmesi ve İnovasyon Denetimine Yönelik Uygulama


Makale | 2022 | Beta Dergi

ÖZ Amaç: Bu çalışmada, inşaat sektöründe faaliyet gösteren bir firmada inovasyon denetimi uygulaması yapmak ve firmanın inovasyon stratejilerini belirlenmesine katkı sunmak amacıyla yürütülmüştür. Yöntem: Çalışma iki aşamada gerçekleştirilmiştir. İlk aşamada, firma çalışanlarına yüz yüze görüşme yoluyla inovasyon denetimine yönelik bir anket çalışması yürütülmüştür. İkinci aşamada ise bir beyin fırtınası yapılarak her ürün grubu için olası inovasyon stratejileri belirlenmiştir. Bulgular: Kullanılan inovasyon olgunluk modeline göre firma 2.düzey yapılandırılmış bir firmadır. Bununla birlikte, firmadaki birçok ürün grubu için izlenmes . . .i gereken olası inovasyon stratejisi, taklitçi strateji olarak belirlenmiştir. Sonuç ve Öneriler: Çalışmanın sonuçları firmanın kurumsal inovasyon sisteminin kurulmasına destek olacağı değerlendirilmektedir. Özgün Değer: Bu çalışmada gerçekleştirilen uygulama gerçek bir vaka çalışmasıdır. Literatürde sınırlı sayıda bulunan gerçek vaka sayısını zenginleştirmektedir. Daha fazlası Daha az

Comparison of inflammation markers and severity of illness among patients with COVID-19, acute psychiatric disorders and comorbidity


Makale | 2022 | European Journal of Psychiatry

dimer, fibrinogen, and comorbid illness are associated with the course and prognosis of COVID- 19. However, the course of acute severe psychiatric disorders overlapping with COVID-19 infec- tion was not investigated and remained as an unclarified research area. This study aimed to dem- onstrate inflammatory markers and the course of patients suffering from both conditions. Methods: Thirty-eight inpatients with COVID-19 and comorbid acute psychiatric disorders (COVID-19+PD), 31 inpatients with COVID-19, and 38 inpatients with an acute psychiatric disor- der (PD) were included in the study. Neutrophil, lymphocyte counts, serum ferriti . . .n, lactate dehydrogenase (LDH), D-dimer, fibrinogen, Systemic immune-inflammation index (SII), neutro- phil/lymphocyte ratio (NLR), and C-reactive protein (CRP) were compared to evaluate inflamma- tion levels. Results: Patients with SARS-CoV-2 infection had older age compared to the PD group. CALL (Comorbidity, age, lymphocyte, lactate dehydrogenase) scores which predict the progression risk in patients with COVID-19 pneumonia, of both COVID-19 groups were found similar. The COVID-19+PD had higher SII in the study sample. Additionally, the COVID-19+PD group had higher NLR, ferritin, and CRP levels than those of the PD group. Conclusions: The prognosis of COVID-19 is not worse when accompanied by a psychiatric disor- der. Laboratory assessment can guide clinicians to distinguish those infected with SARS-CoV-2 within psychiatric inpatient units. The biochemical assessment did not robustly support highe Daha fazlası Daha az

Multi-Class Document Classification Based on Deep Neural Network and Word2Vec

Metin Zontul

Makale | 2022 | JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES15 ( 1 ) , pp.59 - 65

With the increase in unstructured data, the importance of classification of text-based documents has increased. In particular, the classification of news texts and digital documentation provides easy access to the information sought. In this study, a large amount of news textual data was used. After the data set was preprocessed, Bag of Words (BoW), TF-IDF, Word2Vec and Doc2Vec word embedding methods were applied. In the classification phase, Random Forest (RF), Multilayer Perceptron (MLP), Support Vector Machine (SVM) and Deep Neural Network (DNN) algorithms were applied. As a result of the experimental studies, using the Word2Vec . . .method together with the DNN algorithm performed the best result. Yapısal olmayan verilerin artmasıyla birlikte metin tabanlı belgelerin sınıflandırılmasının önemi artmıştır. Özellikle haber metinlerinin sınıflandırılması ve dijital dokümantasyon, aranan bilgilere kolay erişim sağlar. Bu çalışmada, büyük miktarda metinsel haber verisi kullanılmıştır. Veri seti ön işlemeye tabi tutulduktan sonra, Bag of Words (BoW), TF-IDF, Word2Vec ve Doc2Vec kelime temsil yöntemleri uygulanmıştır. Sınıflandırma aşamasında Random Forest (RF), Multilayer Perceptron (MLP), Support Vector Machine (SVM) ve Deep Neural Network (DNN) algoritmaları uygulanmıştır. Deneysel çalışmalar sonucunda DNN algoritması ile birlikte Word2Vec yönteminin kullanılması en iyi sonucu vermiştir Daha fazlası Daha az

Distance-Based Decision Making, Consensus Building, and Preference Aggregation Systems: A Note on the Scale Constraints


Makale | 2022 | systems

Distance metrics and their extensions are widely accepted tools in supporting distancebased decision making, consensus building, and preference aggregation systems. For several models of this nature, it may be necessary to elucidate the problem output in the original input domain. When a particular parameter of interest is desired to be produced in this original domain, i.e., the scale, the decision makers simply resort to constraints that function in parallel with this goal. However, there exist some cases where such a membership is guaranteed by the mathematical properties of the distance metric utilized. In this paper, we argue . . . that the scale constraints utilized in this manner under the distance-metric optimization framework are, in some cases, completely redundant. We provide necessary mathematical proofs and illustrate our arguments through an abstract physical system, examples, a case study, and a brief computational experiment Daha fazlası Daha az

Kaligrafi Eğitimi Ve Grafik Tasarıma Etkisi



Kaligrafi sanatı zihinde gelişen fikir ve duyguların yazı aracılığıyla estetik değerler yanında kendine özgü kural ve kaidelere bağlı kalınarak resmedilmesi sanatı şeklinde değerlendirilir. Kendine has birtakım usûl ve öğrenme metotları aracılığıyla sabır, itina ve titizlik ile beraber çokça pratik yapma neticesinde gelişme gösteren, aynı zamanda uzun ve yorucu bir serüven gerektiren güzel sanat dallarından biridir. Ayrıca kaligrafi sanatı, işlenen temaya güzellik veya sanatsal değer katan el yazısına dayalı zanaat biçimlerinden biridir. Bununla birlikte özellikle harflere estetik birer biçim veren önemli ve değerli bir uğraşıdır. G . . .eleneksel olarak kaligrafi ve grafik tasarım çeşitli görsel tasarımlarda iş birliği yaparlar. Grafik tasarımın önemli görsel unsurlarından biri olan yazı kaligrafi ile ortak alanlarda kullanıldığında farklı ve önemli sonuçlar oluşturacaktır. Her iki disiplinin de ortak uğraşı yazı ve metinler olduğu düşünüldüğünde, birbirine büyük oranda zenginlik kattıkları anlaşılmaktadır. Kaligrafi sanatı ve özgün bir sanat formuna sahip olan grafik tasarımın birlikte yaygın olarak uygulanmaları bir tür yenilik oluşturmaktadır. Bu makalede kaligrafinin günümüzdeki önemi ve grafik tasarımla birlikte içeriklerinin incelenmesi yapılacaktır Daha fazlası Daha az

An Up-To-Date Look at the Search for Balance: Equality for Women or the Women's Version of Equality?


Makale | 2022 | Eastern Mediterranean University Press

In a society, the fact that women and men have to fight unequal in their daily lives, education and working standards is a danger that must be taken into account for human rights on the one hand and social peace and tranquility on the other. However, even for an internationally binding convention on gender inequality, it was necessary to reach the second half of the 20th century. Gender equality is an important data in terms of welfare, economic and political development levels among societies. For this reason, it has been seen as an important need to focus on the phenomenon of gender equality with up-todate data on different areas . . .where discrimination is fed. For this purpose, the representation of women in the media, the effects of the Covid-19 pandemic, the effects of artificial intelligence technology on gender roles and women's employment will be emphasized. The big picture will be rationalized with the results of international and national gender-focused indices, including WEF, UN, IMF, OECD, ILO and UNESCO. What kind of a picture does the world's latest situation show in the search for balance towards gender equality these days when touristic travel plans are made to Mars? This study aims to answer the question of whether equality for women on the planet is implemented in politics or is it being consoled with a version of equality for wome Daha fazlası Daha az

A hierarchical clustering based panel data approach: a case study of regional incentives


Makale | 2022 | International Journal of Information Management Data Insights

The main objective of this research is to propose a novel approach based on panel data analysis and hierarchical cluster analysis to investigate the determinants of foreign trade deficit and cluster provinces of Turkey. This study has two important contributions into the existing literature. First, the proposed approach uses provinces based panel data. Second, the proposed approach uses structural factors as explanatory variables. The estimates show that the number of patent, trademark, and design granted, the number of incentive documents prepared, fixed investments and employment corresponding to the energy sector and employment i . . .n agricultural sector significantly affect foreign trade deficit in provinces of Turkey. Afterward, hierarchical cluster analysis is also utilized based on the results obtained from the panel data analysis. The results of the proposed approach show that provinces of Turkey are clustered into three clusters and Istanbul is the only province forming the first cluster Daha fazlası Daha az

The effect of gestational diabetes mellitus on occurrence of the pelvic girdlepain and symptom severity in pregnant women

Merve Can | Nillufer Kablan | Habibe Ayvacı | Yaşar Tatar | Pınar Kumru | Sadık Şahin

Makale | 2022 | Journal of Obstetrics and Gynaecology

The primary objective of this study was to examine the effect of gestational diabetes mellitus (GDM) on pelvic girdle pain (PGP) occurrence and symptom severity. Pregnant women who were with/without GDM, 20–40 years of age, and also in the second and third trimesters of pregnancy were included in the study. PGP provocation tests were administered to 187 pregnant women to determine the presence and severity of PGP. Based on the test results, the study subjects were divided into two groups; Group 1 (GDM+, PGP+; n:32) and Group 2 (GDM−, PGP+; n:35). Both groups were asked to fill in the Pelvic Girdle Questionnaire (PGQ). The relationsh . . .ip between the presence of GDM and the presence of PGP was found to be significant (p =.043). It was found the groups were similar in view of pain, and also in PGQ total/subscale scores (p >.05). Although GDM has no effect on symptom severity, it has been determined that it may relate to the development of PGP. Therefore, early interventions (nutrition, exercise, belt using, etc.) are recommended to prevent the development of PGP in pregnant women with a family history of diabetes, with a previous diagnosis of diabetes and/or with GDM detected in their previous pregnancies. Clinical Trial Number: 04769375Impact of StatementWhat is already known on this subject? Gestational diabetes mellitus and pelvic girdle pain are pathologies that develops secondary to pregnancy-related systemic and biomechanical changes. What do results on this study add? GDM may related the development of PGP. What are the implications of these findings for clinical practice and/or further research? Early interventions (nutrition, exercise, belt using, etc.) and strict control of pregnant women in view of PGP is recommended to prevent the development of PGP in pregnant women with a family history of diabetes, with previous diagnosis of diabetes and/or with GDM detected in their previous pregnancies. The evaluation of pregnant women for PGP before administering interventions, such as exercise and diet (both decrease the pro-inflammatory markers), following the diagnosis of GDM and the measurement of plasma anti- and pro-inflammatory marker values in the same time period will further reveal the relationship between GDM and PGP. © 2022 Informa UK Limited, trading as Taylor & Francis Group Daha fazlası Daha az



Makale | 2022 | Applied Computer Science , pp.59 - 65

Increasing dependence on Information and Communication Technologies (ICT) and especially on the Internet in Industrial Control Systems (ICS) has made these systems the primary target of cyber-attacks. As ICS are extensively used in Critical Infrastructures (CI), this makes CI more vulnerable to cyber-attacks and their protection becomes an important issue. On the other hand, cyberattacks can exploit not only software but also physics; that is, they can target the fundamental physical aspects of computation. The newly discovered RowHammer (RH) fault injection attack is a serious vulnerability targeting hardware on reliability and sec . . .urity of DRAM (Dynamic Random Access Memory). Studies on this vulnerability issue raise serious security concerns. The purpose of this study was to overview the RH phenomenon in DRAMs and its possible security risks on ICSs and to discuss a few possible realistic RH attack scenarios for ICSs. The results of the study revealed that RH is a serious security threat to any computerbased system having DRAMs, and this also applies to ICS Daha fazlası Daha az

Social network analysis of tourism data : a case study of quarantine decisions in COVID-19 pandemic”, International Journal of Information Management Data Insights


Makale | 2022 | Elsevier

Tourism is one of the most affected sector during the COVID-19 pandemic all over the world. Quarantine decisions are the leading measures taken in practice to reduce possible negative consequences of the COVID-19 pandemic. There is limited work in the literature on how to make the right quarantine decisions in a pandemic. Therefore, the aim of this study is to propose the use of social network analysis (SNA) based on tourism data to make the right quarantine decisions in the COVID-19 pandemic. A case study on quarantine decision is conducted based on data obtained from Turkish Statistical Institute to show how to perform SNA. Househ . . .old domestic tourism survey is used as input data for SNA. The most critical region among 12 regions in Türkiye is Istanbul to decrease possible negative affect of COVID-19 pandemic on the tourism sector Daha fazlası Daha az

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