Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaygusuz, Abdullah(35)
- Sipahi, Ferkan(35)
- Karsli, Orhan(34)
- Dokuz, Abdurrahman(30)
- Duran, Celal(30)
- Kandemir, Raif(29)
- Ozdes, Duygu(28)
- Maden, Nafiz(27)
- Uzun, Sevda(27)
- Merdan, Mehmet(26)
- Vural, Alaaddin(26)
- Öztürk, Serkan(25)
- Araz, Onur(24)
- Kulakaç, Nurşen(24)
- Ashyralyyev, Charyyar(23)
- Yildiz, Salih(23)
- Yilmaz, Ozgur(23)
- Doğan, Kadir Caner(21)
- Arslan, Mehmet(20)
- Aydin, Faruk(20)
- Doğru, Bülent(20)
- Bayraktar, Alemdar(19)
- Kankal, Murat(19)
- Ayaydin, Hasan(18)
- Baltaci, Cemalettin(18)
- Yolcu, Halil(18)
- Cakir, Tufan(17)
- Cengiz, Ekrem(17)
- Demir, Selim(17)
- Gücer, Mehmet Ali(17)
- Akaryali, Enver(16)
- Artan, Seyfettin(16)
- Hayaloğlu, Pınar(16)
- Kaya, Afşin Ahmet(16)
- Tosunoğlu, Büşra(16)
- Uysal, Ibrahim(16)
- Kurt, Kemal(15)
- Ozturk, Samet(15)
- Reis, Hatice Catal(15)
- Aksakal, Vecihi(14)
Yayınlar
- Kitap BölümüYalnız künye2022Symptom and Life Quality Management in Oncology Patients
Demir Doğan, Melike
Quality of life is a multidimensional concept. Therefore, its assessment includes many parameters ranging from happiness and well-being of individuals to environmental quality and ecological structures. A good symptom management is associated with less symptom formation and thus with a better quality of life. Non-pharmacological interventions typically include various psychosocial, behavioral and environmental strategies that can complete traditional treatment to increase the quality of life for cancer patients.
AtıfScopus2OpenAlex2
İncele - MakaleYalnız künye2022Scopus SJRQ2InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Reis, Hatice Catal; Turk, Veysel; Khoshelham, Kourosh; Kaya, Serhat
Cancer is among the common causes of death around the world. Skin cancer is one of the most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition to traditional methods, method such as deep learning is frequently used to diagnose and classify the disease. Expert experience plays a major role in diagnosing skin cancer. Therefore, for more reliable results in the diagnosis of skin lesions, deep learning algorithms can help in the correct diagnosis. In this study, we propose InSiNet, a deep learning-based convolutional neural network to detect benign and malignant lesions. The performance of the method is tested on International Skin Imaging Collaboration HAM10000 images (ISIC 2018), ISIC 2019, and ISIC 2020, under the same conditions. The computation time and accuracy comparison analysis was performed between the proposed algorithm and other machine learning techniques (GoogleNet, DenseNet-201, ResNet152V2, EfficientNetB0, RBF-support vector machine, logistic regression, and random forest). The results show that the developed InSiNet architecture outperforms the other methods achieving an accuracy of 94.59%, 91.89%, and 90.54% in ISIC 2018, 2019, and 2020 datasets, respectively. Since the deep learning algorithms eliminate the human factor during diagnosis, they can give reliable results in addition to traditional methods. Graphical abstract: [Figure not available: see fulltext.]
AtıfScopus170WoS313OpenAlex160
İncele - MakaleYalnız künye2022Scopus SJRQ3The Effect of Surface Morphology of Silver Nanoparticles on the Selectivity of Styrene Epoxidation
Sarlblylk, Oǧuz Yunus
Catalytic materials at the nanoscale level have an enormous impact on sustainable environmental protection, which is important for the future. Therefore, the researchers will intensively carry out the design of catalytic materials with well-ordered surface structures. In more detail, morphology-controlled nanoparticles have special interactions with the reactants that increase catalytic performance and influence the selectivity for catalytic reactions. For those reasons, obtaining specifically surface structure-tuned nanocrystals having different surface arrangements is a significant priority that promises the best model relationship between well-oriented surface structure and catalytic performance. In this study, silver nanocrystals shaped with cubes, truncated octahedrons, and octahedrons were produced. Their catalytic behaviors were examined as an innovation for epoxidation/oxidation reactions of styrene in mild conditions. The morphological and surface characterizations of nanocrystals were determined by analytical and instrumental methods such as high-resolution transmission electron microscopy energy dispersive X-ray (HR-TEM-EDX), X-ray diffraction (XRD), as well as inductively coupled plasma mass spectroscopy optical emission spectrometry (ICP-OES), and gas chromatography-mass spectrometry (GC-MS). According to the results, nanoparticles having different surface-facets fractions can be employed to increase the selectivity of styrene epoxide.
AtıfScopus3WoS3OpenAlex3İncele - MakaleYayıncıda açık erişim2022Scopus SJRQ3Information theory and machine learning based authentication of flaxseed oil using portable and handheld vibrational spectroscopy sensors
Aykas, Didem-Peren; Menevseoglu, Ahmed; Gunes, Nurhan
Flaxseed oil is one of the popular edible oils, and its adulteration has become a concern because of its high commodity value. Therefore, there is a need to detect adulterated flaxseeds with a rapid, non-invasive, and simple method to keep the quality of flaxseed oil. This study aimed to develop a machine learning algorithm and information theory to detect adulterated flaxseed oils by vibrational spectroscopy units combined with chemometrics. Oil spectra were collected with portable/handheld vibrational spectroscopic units and analyzed using conditional entropy, support vector machines (SVM), and soft independent modeling of class analogy (SIMCA) to generate classification models to identify the pureness of oils and partial least square regression (PLSR) to predict the adulterant levels and fatty acid distributions. Conditional entropy showed that two or three wavenumbers/shifts could discriminate the oils using machine learning algorithms with an accuracy of over 95%. SIMCA models determined the oils with an interclass distance (ICD) over 1.1. Specifically, the Fourier transform mid-infrared (FT-MIR) unit provided the best classification of the oils with ICD over 4.9. All instruments showed good performance in predicting fatty acids and adulteration levels with rval≥0.89 and standard error prediction (SEP) ≤1.7%. Overall, these portable/handheld units showed great potential for rapid, simple, and non-invasive monitoring to identify adulterated flaxseed oils.
AtıfScopus7WoS7OpenAlex7İncele - MakaleYalnız künye2022Scopus SJRQ3Roza: a new and comprehensive metric for evaluating classification systems
Melek, Mesut; Melek, Negin
Many metrics such as accuracy rate (ACC), area under curve (AUC), Jaccard index (JI), and Cohen’s kappa coefficient are available to measure the success of the system in pattern recognition and machine/deep learning systems. However, the superiority of one system to one other cannot be determined based on the mentioned metrics. This is because such a system can be successful using one metric, but not the other ones. Moreover, such metrics are insufficient when the number of samples in the classes is unequal (imbalanced data). In this case, naturally, by using these metrics, a sensible comparison cannot be made between two given systems. In the present study, the comprehensive, fair, and accurate Roza (Roza means rose in Persian. When different permutations of the metrics used are superimposed in a polygon format, it looks like a flower, so we named it Roza.) metric is introduced for evaluating classification systems. This metric, which facilitates the comparison of systems, expresses the summary of many metrics with a single value. To verify the stability and validity of the metric and to conduct a comprehensive, fair, and accurate comparison between the systems, the Roza metric of the systems tested under the same conditions are calculated and comparisons are made. For this, systems tested with three different strategies on three different datasets are considered. The results show that the performance of the system can be summarized by a single value and the Roza metric can be used in all systems that include classification processes, as a powerful metric.
AtıfScopus7WoS8OpenAlex9İncele - MakaleYalnız künye2022Scopus SJRQ1Optimization of multiple tuned mass dampers for a two-span continuous railway bridge via differential evolution algorithm
Araz, Onur; Kahya, Volkan
The study aims at proposing a methodology for optimization of multiple tuned mass dampers (MTMD) in reducing the multi-resonance vibrations of continuous bridges due to moving train loads. The equations of motion for time-domain analysis are derived for obtaining train-induced vibrations of a two-span continuous railway bridge with equipped MTMD-1 and MTMD-2 devices when the vehicle-bridge interaction (VBI) is considered. The bridge and the train are modeled as a Bernoulli-Euler beam with constant section and a series of moving sprung masses of identical length, respectively. To reduce the multiple resonance vibrations of a two-span continuous railway bridge, the MTMD-1 and MTMD-2 are tuned to the first mode and the second mode of the bridge, and they are attached to the midspan of each span, respectively. The optimum parameters of the both MTMD systems are investigated using the differential evolution (DE) method. The criterion chosen to obtain the optimum parameters is the minimization of the first two resonance peaks of the bridge. The influence of the different mass ratios and the number of TMD units in the MTMD system on the optimum parameters of the both MTMD systems and corresponding displacement responses of the bridge are also investigated. The results show that the VBI effect does not have much effect on the resonant train speeds and the control performance of TMDs. Therefore, the optimum parameters of TMDs can be obtained quickly by modeling the train as a series of moving forces for the vibration control of railway bridges.
AtıfScopus33WoS32OpenAlex33İncele - MakaleYalnız künye2022Scopus SJRQ1Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform
Ustubioglu, Beste; Küçükuğurlu, Büşranur; Ulutas, Guzin
Copy-move forgery is one of the most widely used methods in the field of audio forensic because it is difficult to detect and convenient to apply. However, post-processing operations applied to forged speech to hide traces of forgery make detection of forensic more difficult. In this study, we propose a robust method for detection and localization of the audio copy-move forgery using modified discrete cosine transform (MDCT). For this purpose, we first divide the speech recording into voiced and unvoiced parts by extracting a pitch sequence from the speech recording. After the determination of voiced parts, we extract MDCT coefficients from them and take the mean of the transpose of the coefficient matrix as the feature. These MDCT features are very robust against commonly used post-processing operations (especially audio compressing). Euclidean distance (ED) is applied to compute the similarities between the features. The voiced parts, which give minimum ED are determined as copy-move audio parts. Also, two separate databases (Pitch-based and Voice Activity Detection (VAD-based) are created during the work to evaluate the performance of the proposed method because there is no common database in the field of audio forensic in the literature. Experiment results show that the proposed method gives better results for detection and localization of audio copy-move forgery on different databases compared to other studies in the literature. The proposed method is also robust against common post-processing operations such as noise addition, filtering operation, and especially compression operation.
AtıfScopus22WoS17OpenAlex23İncele - MakaleYalnız künye2022Scopus SJRQ1A decision support tool for the student–supervisor allocation problem of postgraduate programs
Bahadır Şimşek, Ahmet
The stable supervisor-student allocation (SSA) is crucial in the success of the research at the postgraduate education. The difference of SSA from the well-known student-project allocation (SPA) problem is that it moves the determination of the research topic to after the allocation, thus allowing the student and the lecturer to discuss the research topic. In the education systems of developing countries where decision support systems are not prevalent, the student–lecturer allocation is performed manually with a greedy approach, which can result in unstable matches. In this study, we propose a multi-objective binary model that allows decision-makers to shift between three main allocation strategies with a trade-off parameter. We test the model with a real dataset of a postgraduate program in Turkey. Experiments show that the model can successfully implement different strategies, and there can also be more than one breaking point between strategies. Also, we transform the model into a decision support tool that provides easy use to the decision-maker and reports the solutions of the trade-off parameter sensitivity analysis. The tool reports the level of satisfaction for each strategy at different breakpoints, allowing the decision-maker to see its options.
AtıfScopus6WoS3OpenAlex5İncele - MakaleYalnız künye2022Scopus SJRQ2Effect of different objective functions on control performance of tuned mass damper for a high-rise building considering soil–structure interaction
Araz, Onur; Ozturk, Kasif Furkan; Cakir, Tufan
This paper deals with the optimization of the tuned mass damper (TMD) with different objective functions for high-rise building under earthquake motions considering soil–structure interaction (SSI). A study is conducted to search for the TMD that outperforms five objective functions (i.e., OF-1–OF-5) containing combinations of the structural responses and foundation responses. The main goal of the present study is to evaluate and compare the control performance of these five objective functions. The optimum parameters of TMD are obtained by particle swarm algorithm (PSA) to minimize the acceleration transfer function. To determine the dynamic response of a 40-story building under the influence of SSI, six different foundation soil conditions and eight different earthquake records are considered. The results show that the SSI effects on the dynamic response of the high-rise building resting on relatively soft soil types such as SD and SE are of critical importance. It is shown that the effectiveness of the optimum TMD designed by OF-1 is better than the others in suppressing the peak response values for all soil types. After OF-1, the best performances are obtained for OF-3 and OF-5 which yield approximately the same effectiveness. It is also found that different earthquake records, soil types and objective functions are very effective on the effectiveness of TMD.
AtıfScopus22WoS22OpenAlex25İncele - MakaleYalnız künye2022Scopus SJRQ2A note on linear non-Newtonian Volterra integral equations
Güngör, Nihan
In this study, the Volterra integral equations are defined in the non-Newtonian calculus with the aid of ∗ -integral. The focus of this study is obtaining the solution of linear non-Newtonian integral equations. The ∗ -resolvent kernel method, successive approximations method and Adomian decomposition method are applied for solving non-Newtonian integral equations in the non-Newtonian sense. Some numerical examples are presented to explain the procedure of these methods. Finally, a model that describes a type of the exponential growth model is proposed in the sense of non-Newtonian calculus as an example.
AtıfScopus8WoS8OpenAlex7İncele - MakaleYalnız künye2022Scopus SJRQ1Early Cambrian S-type granites in the Sakarya Zone, NE Turkey: A record for transition from subduction to post-collisional extension deduced from U-Pb zircon age and Nd-Hf isotopes
Karsli, Orhan; Sengün, Firat; Dokuz, Abdurrahman; Aydin, Faruk; Kandemir, Raif; Kristoffersen, Magnus; Santos, Jose Francisco; Hofmann, Mandy; Duygu, Levent
Cadomian realms have recently received much attention in the Alpine-Mediterranean orogenic belts, with discontinuous outcrops extending from the Alps to the Istanbul Zone, Menderes Massif, Taurides in Turkey and Iran as well. However, they have not been identified in the Sakarya Zone, northern Turkey to date. Here, we present, for the first time, zircon U-Pb geochronology, zircon Hf-isotopes and trace elements as well as whole-rock geochemistry and Nd-isotopes from the Karamese metagranitoid in the Yusufeli (Artvin) area, NE Turkey. The zircon U-Pb age data demonstrate that the Karamese metagranitoid intruded into the Precambrian basement units in the Early Cambrian (ca. 534-530 Ma). Zircon overgrowths in the Karamese metagranitoid interpreted as a result of metamorphic overprint yielded ages of 328 Ma. This age indicates that the Sakarya Zone experienced the Variscan metamorphic events at 328 Ma. The Early Cambrian metagranitoid shows that some rocks in the basement of the Sakarya Zone date back to Precambrian in age. The Karamese metagranitoid is an S-type granite, with high modal content of muscovite (similar to 10%). The samples show highly peraluminous [A/CNK = molar Al2O3/(CaO + K2O + Na2O) = 1.34-1.58] and medium-K calc-alkaline geochemical affinities. The Karamese metagranitoid displays low REE concentrations and a slight positive Eu anomaly and show slightly light REEs and LILEs enrichments, and HFSEs depletions. The samples have negative epsilon(Nd)(t) of -4.76 to -2.90 and epsilon(Hf) (t) of -4.75 to -1.08 values. These geochemical-isotopic characteristics reveal that the Karamase metagranitoid originated through fluid-absent muscovite dehydration melting of heterogeneous metasedimentary source rocks (mostly greywacke), with a minor input of juvenile mafic melt. We argue that the Early Paleozoic metagranitoids along the eastern Sakarya Zone is an expression of crustal thinning in the Cadomian orogenic belt in northern Gondwana, with the tectonic turnover from convergent margin to crustal extension possibly induced by break-off of Tornquist oceanic lithosphere which is a branch of Iapetus Ocean during Early Cambrian.
AtıfScopus16WoS14OpenAlex15İncele - MakaleYalnız künye2022Scopus SJRQ2The Diagnostic Value of ischemia-modified albumin (IMA) and signal peptide-CUB-EGF domain-containing protein-1 (SCUBE-1) in an Experimental Model of Strangulated Mechanical Bowel Obstruction
Cekic, Arif Burak; Ozgen, Cekic Gonenc; Aygun, Ali; Pasli, Sinan; Ozer Yaman, Serap; Karahan Caner, Suleyman; Turedi, Suleyman; Acar, Sami; Tatli, Ozgur; Yulug, Esin
Background Mechanical bowel obstruction (MBO) is one of the principal pathologies requiring emergency surgery and a significant worldwide cause of morbidity. The identification of patients in whom bowel obstruction resolves spontaneously is important in terms of preventing unnecessary surgical interventions and future potential adhesions. The decision-making process is difficult in patients presenting without classic examination findings. Methods 36 female Sprague-Dawley rats randomly divided into six experimental groups. In Group 1, 3 and 5, laparotomy was performed, with blood and tissue specimens being collected after 1, 2 and 6 h, respectively. In Group 2, 4 and 6, the ileum segment was ligated following laparotomy, and blood and tissue specimens were collected after 1, 2 and 6 h, respectively. The ileum specimens were examined macroscopically, after which 1-cm sections were taken and examined in terms of histopathological changes. IMA and SCUBE-1 levels were determined for each group, and macro- and microscopic tissue examination findings were compared between the groups. Results Comparison within the groups exposed to waiting times of 1 h (groups 1 and 2), 2 h (groups 3 and 4) and 6 h (groups 5 and 6) revealed higher mean IMA and SCUBE-1 levels in rats undergoing ligation together with incision (groups 2, 4, and 6) compared to those undergoing laparotomy only (groups 1, 3, and 5). Correlation analysis was applied to determine the relationship between total scores obtained from histopathological examination and IMA and SCUBE-1 values. The analysis revealed strong, significant and positive correlation between histopathological examination scores and IMA (r=0.643, p=0.000) and SCUBE-1 (r=0.509, p=0.002) values. Conclusion The study findings showed that both IMA and SCUBE-1 values increased in a strangulated MBO model in rats. We think that IMA and SCUBE-1 values can be used as a markers of damage in the early period in strangulated MBO, and that the patient's surgery requirement can thus be determined in the early period.
AtıfWoS4OpenAlex7İncele - BildiriYalnız künye2022Magmatic, tectonic and metallogenic evolution of the Eastern Pontides, Turkey: a protracted or discrete construction of the crustal fertility?
Turlin, Francois; Moritz, Robert; Sönmez, Safak Utku; Keskin, Serdar; Karsli, Orhan; Aydin, Faruk; Ulyanov, Alexey; Dokuz, Abdurrahman; Christie, AB
Even though mechanisms of crustal growth and differentiation are well known, the spatial and temporal evolution of the composition of the continental crust remains poorly constrained, even more when considering the metal budget in mountain belts. In this study, we use the Eastern Pontides, NE Turkey, as a natural laboratory to decipher the role of successive tectono-magmatic events during the buildup of the continental crust fertility. This area is a Gondwana-derived terrane that accreted to the Eurasian margin. It underwent successive orogenic phases associated with the closure of the Paleo- and Neotethys oceans, and lastly the Alpine orogeny. It hosts abundant volcanogenic massive sulfide, porphyry and epithermal deposits, mostly formed in the latest stages of arc construction. These features relative to the buildup of metal fertility in this continental crust raise questions such as were the physico-chemical conditions during the early sterile history of the Eastern Pontides unfavorable to form ore deposits or were the metals progressively concentrated in the crust during successive orogenic events? We will use whole-rock geochemistry, U-Pb zircon dating, and Hf-O isotopic and trace element compositions of magmatic zircons to constrain the construction of the continental crust in the Eastern Pontides, and its metal fertility through time.
- MakaleYalnız künye2022Scopus SJRQ1The associations between metacognition problems, childhood trauma and internalizing symptoms in healthcare workers working directly with patients infected with COVID-19
Sen Demirdogen, Ezgi; Algedik, Pinar; Warikoo, Nishchint; Bahadir, Erdi; Akbiyik, Meral; Büyüktarakçi, Seda; Kadak, Muhammed Tayyip; Yavuz, Mesut
Healthcare workers (HCWs) providing medical support while facing one of the highest levels of adverse and potentially fatal outcomes due to COVID-19 are put in a vulnerable position leading to the development of mental health problems. The development of any prevention and intervention programs to reduce this risk is possible with better understanding and knowledge of possible vulnerability factors. The aim of the present study is to investigate psychological effect of working directly with patients infected with COVID-19 (WD) and possible individual vulnerability factors for the development of psychological problems in HCWs. The data used in this cross-sectional study were collected using online self-reported questionnaires from 290 HCWs aged 21-61 years old. The mean score of the scales of 145 HCWs-WD and 145 HCWs not WD (HCWs-NWD) were compared by independent sample t test. Associations between childhood traumas, metacognitive dysfunctional beliefs and internalizing symptoms were analyzed using structural equation modelling (SEM). The depression, anxiety, stress symptoms levels, somatization and sleep problem levels were found to be higher in HCWs-WD compared to HCWs-NWD. SEM revealed that childhood trauma levels was associated with the increased risk of internalizing problems, and metacognitive dysfunctional beliefs had a partial mediator role between childhood traumas and internalizing symptoms in HCWs-WD. Improving metacognitive abilities may hence need to be considered in prevention programs for the HCWs. The findings can also be used to set up further research on the specific interventions on the HCWs who are at a risk as their profession entails them being in such traumatic situations.
AtıfWoS1OpenAlex2İncele - MakaleYalnız künye2022Scopus SJRQ2The first record of Scapania cuspiduligera (Marchantiophyta: Scapaniaceae) in Turkish and Southwest Asia liverwort flora supported from molecular data
Batan, Nevzat; Vilnet, Anna; Abay, Gokhan; Erata, Huseyin; Özdemir, Turan
During the recent bryological excursion to the Rize region of Turkey, Scapania cuspiduligera has been collected, it is the first record of this species to Turkey and Southwest Asia. Brief description, illustration, ecological, ITS1-2 nrDNA and trnL-F cpDNA sequence data are provided and discussed.
AtıfScopus3WoS3OpenAlex5İncele - MakaleYalnız künye2021Nesneden bağımsız üretilen temsiller: Bacon’un Yeni Atlantis’i
Çavdar, Aysegül Çelenk; Sürdem, Sule Sınem
Geçmişten günümüze kadar olan süreçte yaşam, değişen dünya düzeni içerisinde evrilmiştir. Tarih öncesinde temel ihtiyaçlar barınma ve beslenme iken gelişen sanayi ile beraber ihtiyaç ve beklentiler de değişmiştir. Fakat insanlığın var olmasına bağlı olarak değişen düzen birçok kusurların ortaya çıkmasına neden olmuştur. İnsan hep yaşamın merkezinde olmak isterken yaşamın içerisindeki parametreler sonucu yenidünyaları ve daha mükemmel bir düzeni arzulamaktadır. İnsanoğlunun yaşamı boyunca karşılaştığı zorlukları çözüme kavuşturma isteği sonucunda, gerçekleşmesi mümkün olmadığı bilinen birçok düşünce, ütopyaları oluşturmaktadır. Ütopyaların gerçekliği yakalayabilmesi imkânsız gözükse de bireyin zihninde oluşan imajlarla gerçeği algılamak için öznenin nesne ile arasına bir şey sokmaması gerekmektedir. Nesneden bağımsız olarak üretilen temsillerin mekân üzerinden ifade edilmesi, ütopyaları anlama ve onlara dâhil olabilme kolaylığı sağlamaktadır. Günümüz mimarlığı nesnesi olan yapıyı ön plana çıkaran tasarımlar ortaya koymaktadır. Bu anlayış biçimine eleştirel bir ifade getireceği düşünülen ütopyaların, nesneden bağımsız olarak ortaya koyduğu, mimarlıkta önemli olan yapının değil düşünce strüktürünün çeşitli araçlarla temsil edilmesidir. Mimarlık tartışmalarına farklı bir boyut kazandıracağı düşünülerek hazırlanan bu çalışma kapsamında, Bacon’un Yeni Atlantis’i metinsel bir inceleme için seçilen örneklemdir. Metnin nesneden bağımsız olarak ortaya koyduğu temsiller ise mekânsal kurgu üzerinden ele alınmaktadır. Bacon’ın ütopik anlatımıyla ele aldığı gerçekdışı dünyayı, ideal toplum kurgusu üzerinden mekânsal ilişkileri incelemek amaçlanmıştır. Toplumsal dünyayı ve doğayı metninde tasarım nesnesi yapan Bacon’un, Bensalem ismini verdiği adadaki mekânlarla ortaya koyduğu temsiliyet ile amacı doğaya hâkim olmak ve onu insan aklının ve bilimin nesnesi yapmaktır. Mekân tasarılarının oluşumunda ütopik bağlantının doğa üzerinden kurgulandığı görülmektedir.
- MakaleYalnız künye2021Ekonomik Özgürlüğün Vergi Gelirleri Üzerine Etkisi: OECD Kurucu Ülkeleri Üzerine Ampirik Bir Çalışma
Keyifli, Nazlı
Bu çalışma ekonomik özgürlük endeksi ve alt bileşenlerinin vergi gelirleri üzerindeki etkisini ampirik olarak analiz etmeyi amaçlamaktadır. Çalışma kurucu 20 OECD üye ülkeyi ve 2000-2020 dönemini kapsamaktadır. Analizde bağımlı değişken olarak vergi gelirleri (%GSYH) kullanılmıştır. Bağımsız değişken olarak ekonomik özgürlük endeksi ve endeksin alt bileşenleri olan hukukun üstünlüğü, düzenleyici verimlilik, hükümet büyüklüğü ve piyasa açıklığı endeksleri kullanılmıştır. İki aşamalı sistem genelleştirilmiş momentler metodu analizinden istifade edilerek elde edilen bulgular, ekonomik özgürlüğün ve endeksin alt bileşenlerinden düzenleyici verimlilik ve piyasa açıklığının vergi gelirlerini istatistiksel olarak anlamlı ve pozitif etkilediğini; hükümet büyüklüğünün istatistiksel olarak anlamlı ve negatif etkilediğini; hukukun üstünlüğü ile vergi gelirleri arasında ise istatistiksel olarak anlamlı bir ilişki olmadığını ortaya koymaktadır.
AtıfTR Dizin3
İncele - MakaleYalnız künye2021Afetlerde Güvenli Şehir Değerlendirmesi: Puan Kart Uygulaması
Turan, Melikşah; Cengiz, Ekrem
Afetler insanların ve toplulukların güvenlik ve refahlarının zarar görmesine neden olabilirler. Afetlerin olumsuz etkilerinin önlenmesinde veya azaltılmasında, ayrıca risk altındaki toplulukların olumsuz etkilere tepkisini güçlendirmede temel olarak mevcut durumun iyi anlaşılması gerekmektedir. Şehirlerin afetlere hazırlığını ortaya koyan dirençli şehir değerlendirilmesi ile dirençlilik puanı elde edilerek derecelendirme yapılması amaçlanmaktadır. Bu kapsamda çalışmada toplum direncini geliştirme faaliyetlerine rehberlik etmek için 10 faktör, 33 alt faktör ve 100 gösterge değeri ile oluşturulmuş hazırlanmış Afetlerde Güvenli Şehir Değerlendirme Puan Kartı uygulanmıştır. Veri toplama tekniğine göre dökümantasyonel, araştırmada kullanılan verinin özelliğine göre de ikincil veriye dayalı araştırma kategorisinde yer almaktadır. Nicel araştırma türünde olan çalışmamızda ölçüt örnekleme yöntemi kullanılmıştır. Verileri paylaşılmış büyükşehir statüsündeki 2 şehir için değerlendirilmiş olup isimleri A ve B şeklinde kodlanmıştır. Şehirlerin dirençlilik seviyesini ölçmek için nesnel kriterler doğrultusunda normalize edilmiş bir puan elde edilip puanlar seviyelendirilerek değerlendirilmiştir.
AtıfTR Dizin3İncele - MakaleYalnız künye2021Industrial Relations Climate and Reflections of the Covid-19 Pandemic
Gökçe, Ahmet
The reconciliatory or irreconcilable quality of the industrial relations climate, the relations between the management and the organized union in the workplace, gives clues about the approaches of the parties to the existing or potential problems and their solution suggestions. The Covid-19 pandemic has been a very important test on how industrial relations actors manage this process. The way governments, international and regional organizations, international and national enterprises, and national unions use the social dialogue mechanism to meet the problems in the labor market and what attitude they exhibit is closely related to the industrial relations climate. In this context, the purpose of this study is to evaluate the decisions and suggestions made by international and regional union organizations, international labour organization, and top union organizations in the national sense the Covid-19 pandemic within the framework of the industrial relations climate to go through this process with the least loss.
AtıfTR Dizin2İncele - MakaleYalnız künye2021Causality linkages between income inequality and financial globalization for G7 countries
Çelik, Orkun
The main aim of this study is to evaluate the causality linkages between income inequality and financial glo- balization for G7 countries over the period 1970-2015. The bootstrap panel Granger causality analysis by Kónya (2006) is used. The empirical results indicate that there is a causality linkage between income inequality and fi- nancial globalization in most of the G7 countries. Furthermore, it is shown that income tax has a significant role on the causality linkage. Hence, in order to reduce income inequality, policy makers should apply high taxes on top income, using fiscal policy instruments.
AtıfOpenAlex2TR Dizin1İncele