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  • PublicationOpen Access
    Ortaokullarda Görev Yapan Yöneticilerin Sergiledikleri Liderlik Stillerinin Öğretmenlerin İş Performansına Etkisi
    (Milli Eğitim Bakanlığı, 2023) Can, Sultan; GÜNEŞ, DEMET ZAFER
    Bu araştırmanın amacı, yöneticilerin dönüşümcü, öğretimsel, kültürel, vizyoner ve etik liderlik stillerinin ortaokulda görev yapan öğretmenlerin iş performansına etkisini belirlemektir. Araştırmada nicel araştırma yöntemlerinden ilişkisel tarama modeli kullanılmıştır. Araştırmanın evrenini 2021-2022 eğitim öğretim yılında İstanbul ili Küçükçekmece ilçesinde devlet ortaokulunda görev yapan 2194 öğretmen oluşturmaktadır. Araştırmanın örneklemini basit seçkisiz örnekleme yöntemi ile seçilen 318 öğretmen oluşturmaktadır. Bulguların toplanmasında “Demografik Bilgi Formu”, “Liderlik Stilleri Ölçeği” ve “Öğretmen Performans Ölçeği” kullanılmıştır. Verilerin analizinden önce verilerin normal dağılıp dağılmadığına bakılmış, verilerin normal dağılım gösterdiği tespit edilmiştir. Verilerin analizinde frekans, yüzde, ortalama, minimum, maksimum, standart sapma, korelasyon ve basit doğrusal regresyon kullanılmıştır. Araştırma sonucunda yöneticilerin sergiledikleri; dönüşümcü, öğretimsel, kültürel, vizyoner ve etik liderlik stilleri ile ilgili öğretmen görüşlerinin yüksek düzeyde olduğu belirlenmiştir. Öğretmenlerin performans ölçeği geneli için görüşlerinin yüksek düzeyde olduğu belirlenmiştir. Liderlik stilleri ve öğretmen performansı arasında pozitif yönde düşük düzeyde anlamlı bir ilişki tespit edilmiştir. Ayrıca liderlik stillerinin, öğretmen performansının anlamlı bir yordayıcısı olduğu sonucuna ulaşılmıştır.
  • PublicationOpen Access
    Augmented Reality Experience in an Architectural Design Studio
    (Springer, 2023) Alp, Neşe Çakıcı; YAZICI, YASEMİN ERKAN; Öner, Dilan
    Thanks to the developing technology, different methods and tools are used in architectural representation, and architects contribute to developing these tools. Architects can easily model their designs with computer technologies and even make them visible in the environment with augmented reality technologies. Also, it is thought that these technologies will become widespread in basic architectural education over time. This study conducted a practice at the undergraduate architecture level using augmented reality technology. Within the scope of the study, the predisposition of students who experience augmented reality technologies to new representation, gender, course period, familiarity with playing computer games, the effect of computer programs that they can use in their previous augmented reality experience and designs if any, and the correlation between them has been tried to be revealed with this study. In this context, a study was carried out with thirteen students in the architectural design studio. Students were expected to parametrically design indoor exhibition elements using Rhinoceros 3D software and the Grasshopper plugin in the study. Then, an experimental augmented reality study was conducted with the Fologram, in which the students transferred these virtual exhibition elements they designed to the real indoors and reshaped them according to the space. Afterwards, a questionnaire consisting of five independent and ten dependent variables was applied to the students. The survey results were analysed with the IBM SPSS Statistics program. According to the results obtained, significant results were determined between 4 independent variables and one dependent variable.
  • Publication
    Symptom Based Health Status Prediction via Decision Tree, KNN, XGBoost, LDA, SVM, and Random Forest
    (Springer Science and Business Media Deutschland GmbH, 2023) MERİÇ, ELİF; Özer, Çaǧdaş
    Machine learning applications in health science become more important and necessary every day. With the help of these systems, the load of the medical staff will be lessened and faults because of a missing point, or tiredness will decrease. It should not be forgotten that the last decision lies with the professionals, and these systems will only help in decision-making. Predicting diseases with the help of machine learning algorithm can lessen the load of the medical staff. This paper proposes a machine learning model that analyzes healthcare data from a variety of diseases and shows the result from the best resulting algorithm in the model. It is aimed to have a system that facilitates the diagnosis of diseases caused by the density of data in the health field by using these algorithms of previously diagnosed symptoms, thus resulting in doctors going a faster way while diagnosing the disease and have a prediction about the diseases of people who do not have the condition to go to the hospital. In this way, it can ease the burden on health systems. The disease outcome corresponding to the 11 symptoms found in the data set used is previously experienced results. During the study, different ML algorithms such as Decision Tree, Random Forest, KNN, XGBoost, SVM, LDA were tried and compatibility/performance comparisons were made on the dataset used. The results are presented in a table. As a result of these comparisons and evaluations, it was seen that Random Forest Algorithm gave the best performance. While data was being processed, input parameters were provided to each model, and disease was taken as output. Within this limited resource, our model has reached an accuracy rate of 98%.
  • Publication
    Exploring the Impact of Digitalized Learning and Teaching Systems on the Big Five Personality Traits
    (Springer Science and Business Media Deutschland GmbH, 2023) Arslan, Ezgi Yıldırım; Yıldırım, Osman; KAYNAŞ, TAYFUN; Atanasov, Koycho
    As information technologies develop, educational technology tools develop and differentiate in parallel. Effective and easily applicable technological learning methods have great effects on both learning styles and teaching styles and even transform them. Keeping in mind the contributions of learning technologies to the learning environment, this chapter aimed to examine the effects of flipped learning styles on students’ personality traits. For this purpose, research data were collected by applying a face-to-face survey to 362 higher education students who accepted voluntary participation, and the obtained data were evaluated and interpreted with the help of statistical analysis. According to the analysis findings, important relationships emerged between the sub-dimensions of the flipped learning sub-dimensions of a model known as the big five models. For example, a flexible environment was found to be explained by 12.9% of personality traits, conscientiousness, extraversion, and openness to experience dimensions. One aspect that unifies this research is that educators’ attention is drawn to the points where the development of information technologies forces them to go beyond the classical classroom face-to-face teaching methods.
  • PublicationOpen Access
    Nurses' COVID-19 Fears and Patient Safety Attitudes in the Pandemic
    (Publishing Office of the University of Rzeszow, 2023) Efil, Sevda; TÜREN, SEVDA; Demir, Elif
    Introduction and aim. The fear experienced by nurses during the COVID-19 pandemic may threaten patient safety. This study was conducted with the aim of examining nurses' COVID-19 fears and attitudes to patient safety in the pandemic. Material and methods. The research had a descriptive and cross-sectional design. The research sample consisted of 245 nurses working at a teaching and research hospital in Istanbul, Turkey's most populous province. Research data were collected in June-July 2021. A Nurse Characteristics Form, the Fear of COVID-19 Scale (FCV-19S) and the Patient Safety Attitude Questionnaire were used to collect data. The data evaluation was performed using descriptive statistics, Student t test, one-way variance (ANOVA), and Pearson correlation analysis. Results. The nurses' mean score for fear of COVID-19 was 16.67±6.88, and their mean score for patient safety attitude was 141.70±27.78. Their COVID-19 fear levels and mean patient safety attitude scores were found to differ according to their intention to leave the job, their education on COVID-19 and their age. Conclusion. Nurses' experiencing of physical, social and psychological problems relating to the COVID-19 pandemic should be followed up in the long term.
  • PublicationOpen Access
    The Association of Child Abuse Experiences and Intolerance of Uncertainty in Young Adults
    (Routledge, 2023) Dirican, Ayşe Hatun; Kozak, Ekin Doğa; Kavakcı, Önder; SÖNMEZ, BERNA
    Objective: Drawing upon the identity disruption model, we investigated the association between child abuse experiences (emotional, physical, and sexual) and intolerance of uncertainty. We also addressed demographic differences in uncertainty intolerance in this study. Methods: Using online survey questionnaires, we collected data from a sample of 302 young adults in Turkey. The data were analyzed using confirmatory factor analysis, structural equation modeling, one-way analysis of variance, and independent samples t-test. Results: The results showed that of the three types of child abuse analyzed, only emotional abuse was significantly and positively associated with intolerance of uncertainty. In contrast, age was negatively associated with intolerance of uncertainty. Regarding demographic differences, we found that the level of intolerance of uncertainty differed based on young adults’ gender, psychiatric diagnosis, and education. Specifically, our findings indicated that intolerance of uncertainty is significantly higher in females compared to males. It is also significantly higher in young adults with a diagnosis for psychiatric disorders than those without. Moreover, intolerance of uncertainty is significantly higher in young adults who have a high school graduate degree than their undergraduate and graduate counterparts. We discussed how child abuse is associated with heightened intolerance of uncertainty in young adulthood as well as why demographic differences may exist in uncertainty intolerance. Conclusions: The present study expanded the existing research on the psychological consequences of childhood abuse experiences by linking child abuse to intolerance of uncertainty. Particularly, exposure to emotional abuse in early life can be a risk factor to cope with uncertainty in later life.
  • Publication
    Analysis of the Lingering Effects of COVID-19 on Distance Education
    Education has been severely impacted by the spread of the COVID-19 virus. In order to prevent the spread of the COVID-19 virus and maintain education in the current climate, governments have compelled the public to adopt online platforms. Consequently, this decision has affected numerous lives in various ways. To investigate the impact of COVID-19 on students’ education, we amassed a dataset consisting of 10,000 tweets. The motivations of the study are; (i) to analyze the positive, negative, and neutral effects of COVID-19 on education; (ii) to analyze the opinions of stakeholders in their tweets about the transition from formal education to e-learning; (iii) to analyze people’s feelings and reactions to these changes; and (iv) to analyze the effects of different training methods on different groups. We constructed emotion recognition models utilizing shallow and deep techniques, including Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long-short Term Memory (LSTM), Random Forest (RF), Naive Bayes (NB), Support Vector Machine (SVM), and Logical Regression (LR). RF algorithms with a bag-of-words model outperformed with over 80% accuracy in recognizing emotions.
  • Publication
    Sentiment Analysis of Tweets on Online Education During COVID-19
    The global coronavirus disease (COVID-19) pandemic has devastated public health, education, and the economy worldwide. As of December 2022, more than 524 million individuals have been diagnosed with the new coronavirus, and nearly 6 million people have perished as a result of this deadly sickness, according to the World Health Organization. Universities, colleges, and schools are closed to prevent the coronavirus from spreading. Therefore, distance learning became a required method of advancing the educational system in contemporary society. Adjusting to the new educational system was challenging for both students and instructors, which resulted in a variety of complications. People began to spend more time at home; thus, social media usage rose globally throughout the epidemic. On social media channels such as Twitter, people discussed online schooling. Some individuals viewed online schooling as superior, while others viewed it as a failure. This study analyzes the attitudes of individuals toward distance education during the pandemic. Sentiment analysis was performed using natural language processing (NLP) and deep learning methods. Recurrent neural network (RNN) and one-dimensional convolutional neural network (1DCNN)-based network models were used during the experiments to classify neutral, positive, and negative contents.
  • PublicationRestricted
    Pandemic Awareness and Caring Behaviors of Nurses Working in Intensive Care Unit – A Multicenter Study
    (Publishing Office of the University of Rzeszow, 2023) Demir, Burcu Dedeoğlu; TÜREN, SEVDA; Doğan, Derya Akça
    Introduction and aim. In the COVID-19 pandemic, which is a global threat, the awareness levels of intensive care nurses who meet all the care needs of patients can affect the quality of care. In this study, pandemic awareness and care behaviors of nurses who undertook the patient’s care needs in intensive care units were examined. Material and methods. The research was carried out with 317 nurses working critical care units of 12 hospitals in different provinces. “Nurse Characteristics Form”, “Pandemic Awareness Scale” and “Caring Behaviors Inventory-24” were used as data collection tools. Data were collected between March and August 2022 in the middle of the COVID-19 pandemic process using an online survey. Results. It was determined that 75.4% of the participants were female and the mean age was 25.56±4.49. Pandemic awareness scale score was 3.04±0.62 (0.11-3.67) and caring behaviors inventory score was 5.48±0.84 (1.00-6.00). A significant, positive, weak relationship was found between nurses’ pandemic awareness and all sub-dimensions of caring behaviors (p≤ 0.05). Conclusion. It was seen that the caring behaviors of nurses with high pandemic awareness were also positively affected. Although it was the first time they had experienced the pandemic, nurses were found to have good caring behaviors.
  • PublicationRestricted
    Türkçede “Duygu Besindir” Metaforu
    (Hacettepe University, 2023) TOPCİ, ÇAĞLA BARİKAN
    İnsanın iç dünyasını yansıtan duygular dil, beden ve davranışlar aracılığıyla dış dünyaya doğar. Sinir bilimsel bakış açısıyla temelde beyin hareketliliği olarak görülen duygu, Macar dil bilimci Zoltán Kövecses’in dil merkezli bakışıyla dil, kültür ve bedenin bölünmez bir parçasıdır. Kövecses’in, İngilizce duygu dili üzerine yaptığı metafor çalışmasında, bazı duygu metaforlarının kaynak etki alanı olarak gösterilen “besin”, Türkçedeki pek çok duyguyu ifade etmesi yönüyle karmaşık bir yapı sergilemektedir. Bu bağlamda ilgi çekici olan durum, çalışmamızın konusunu oluşturmaktadır. Bu çalışmada Türkçede pek çok duyguyu ifade eden “DUYGU BESİNDİR” metaforu, deyimler üzerinden ele alınacaktır. Kalıplaşmış söz öbeği olan deyimler aracılığıyla “duygu-besin” kavramlarının izi sürülerek Türkçede az rastlanılan duygu metaforu çalışmalarına katkıda bulunmak hedeflenmektedir. Bu hedef doğrultusunda Türkçenin tarihî dönemlerinde ve günümüz Türkiye Türkçesinde kullanılan deyimler incelenmiş ve on sekiz alt başlık altında “DUYGU BESİNDİR” metaforu örneklerle değerlendirilmiştir.
  • PublicationRestricted
    Structural Characteristics of the Earthquake-Prone Building Stock in Istanbul and Prioritization of Existing Buildings in Terms of Seismic Risk-A Pilot Project Conducted in Istanbul
    (Taylor and Francis Ltd., 2023) Aydoğdu, Hasan Hüseyin; Demir, Cem; CÖMERT, MUSTAFA; Kahraman, Tayfun; Ilki, Alper
    Earthquakes have caused catastrophic results in cities since the beginning of settled life, and the cumulative experience of these events has indicated that the lack of seismic resilience brings enormous economic losses and threatens human life. Consequently, the importance of seismic risk mitigation of earthquake-prone structures has arisen to reduce the primary and secondary losses resulting from seismic events in the last decades as developments in the earthquake engineering field occur. The first step for ensuring seismic resilience is the identification of risky buildings, which is a difficult challenge for metropolises like Istanbul since the building stock consists of over a million buildings. Applying code-based detailed assessments to so many buildings is not practical in terms of time and cost. Moreover, the current code-based detailed assessment methodologies such as Provisions for the Seismic Risk Evaluation of Existing Buildings under Urban Renewal Law (2019) and Turkish Building Earthquake Code (2018) provide discrete predictions for existing buildings as either risky or non-risky or satisfying life safety/controlled damage or not. However, a ranking system based on a reliable and realistic risk classification to prioritize the buildings is needed. Therefore, as a pilot project, nearly 23,000 reinforced concrete buildings in 37 different districts of Istanbul have been investigated by Istanbul Metropolitan Municipality (IMM) through PERA2019 performance-based rapid assessment methodology by considering the Design Level and Scenario-Based Earthquake cases. This is the most up-to-date and comprehensive site survey and analysis conducted in Istanbul up to now. In this paper, the characteristics of the building stock in Istanbul based on the conducted site work and the outcomes of the rapid seismic safety assessment efforts are summarized. Then, a discussion on the seismic risk evaluation of the existing residential buildings based on the prioritization of the examined buildings is presented through the results obtained for the Design Level and Scenario-Based Earthquake cases.
  • Publication
    Examining the Impacts of Military Expenditures on Economic Productivity: A System Dynamics Approach
    (SAGE Publications Ltd., 2023) Damla Gönül-Sezer, Eylül; DEMİREL, DUYGUN FATİH
    The relationship between military expenditures and economic productivity has taken the attention of many researchers and there exist an important number of studies approaching the topic through several techniques. However, there is no consensus among the scholars whether military expenditures trigger economic growth, productivity, and other macroeconomic indicators. Such arguments are mainly due to unclear results obtained from the existing studies, in which the complex relationships between military expenditures and macroeconomics are not fully incorporated. Considering the bidirectional and nonlinear relationships among macroeconomic indicators and complex feedback mechanisms, a system dynamics (SD) model for examining the impacts of military expenditures on economic productivity in Turkey is proposed. The proposed SD model aims to reflect the complex environment surrounding the military spending–economic productivity nexus and to analyze the feedback structures that lead to miscellaneous consequences with delays. A stock–flow model is developed to represent the complex nonlinear relationships and causalities between the variables. Data from SIPRI, the World Bank, and several local statistical sources covering the years 2009–2018 are utilized to simulate the existing case, warfare in neighbors, economic shrinkage scenarios, and the combination of the latter two. The results obtained from the scenarios suggest that short fixes such as importing military products instead of national investments give rise to chronic issues like continual dependence on foreign supply, hence, leading to decrease in overall economic growth. To the best of our knowledge, this is the first attempt to integrate SD methodology with military expenditure and economic productivity analysis.
  • PublicationRestricted
    The Mediating Role of The Meaning of Life in the Effect of Spiritual Well-Being on Post-Traumatic Growth During the Covid-19 Pandemic Process
    (Halil Ekşi, 2023) ERMİŞ, ECE NAZ
    Considering the effects of the COVID-19 epidemic on mental health, it has been determined that there is a need to focus on the positive parts of the post-traumatic results of the pandemic together with spiritual concepts. For this purpose, the mediating role of the meaning of life in the effect of spiritual well-being on post-traumatic growth during the Covid-19 pandemic process was examined. Within the scope of this general purpose: (a) the moderator role of fear of COVID in the mediating role of the meaning of life in the effect of mental well-being on post-traumatic growth, (b) the mediator role of the meaning of life in the effect of existential regret on post-traumatic growth were examined. The participants in the study consisted of 398 people, 263 women and 135 men, between the ages of 18-62. Data analysis includes correlation and regression analysis. As a result of the analyzes, it was observed that spiritual well-being had a statistically significant and positive effect on post-traumatic growth and the meaning of life had a partial mediating role in this relationship. While the effect of spiritual well-being on the meaning of life is at a significant level, it is observed that the fear of covid has a regulatory role in this effect. In addition, while the meaning of life has a significant effect on post-traumatic growth, it is also seen that existential regret has a regulatory role in this effect. It is thought that this study will provide functional evidence for the post-traumatic growth effects of the COVID-19 outbreak and for possible subsequent outbreaks.
  • PublicationRestricted
    Varagavank Monastery’s Khachkar Motifs: Understanding Production Through Parametric Methods
    (Birkhauser, 2023) BAYER, SEMİH; Çakıcı Alp, Neşe
    This study investigates the traditional religious architecture through the examination of Armenian Khachkar motifs at Varagavank Monastery in Van, Turkey. “Khachkar” is pivotal within Armenian religious architecture, denoting a minor architectural style and symbolising “cross-stone.” The study employs a parametric identification method to extract the fundamental unit of Khachkar motifs and develop a model to explore various variations. By utilising a mathematical analysis, the research showcases the practicality of this approach in facilitating diverse transformations within intricate designs. The study offers a comprehensive analysis of the built heritage found in Armenian religious architecture, enhancing the understanding and appreciation of these cultural artefacts. The findings of this study on Khachkars make valuable contributions to architectural research and deepen our comprehension of their significance in Armenian religious art.
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    Febrile Convulsion Knowledge Scale for Parents/Caregivers: A Validity and Reliability Study
    (W.B. Saunders, 2023) TOKSÖZ, FATMA; Açıkgöz, Ayfer; Mutlu, Fezan Şahin; Sayık, Dilek
    Background The primary worry of parents/caregivers in relation to fever is the potential for their child to experience a seizure as a result. The literature suggests that parents/caregivers need to be informed about febrile convulsion. Thus, this study sought to develop the ‘Febrile Convulsion Knowledge Scale for Parents/Caregivers’. Design and methods It is a methodological study comprising 984 parents/caregivers who were accessible online between 07/04/2021 and 30/06/2022. After creating the scale item pool's construction, expert opinions were sought to evaluate the scale, and a content validity analysis was conducted. Subsequent analysis included exploratory and confirmatory factor analyses, Cronbach's Alpha, and a test-retest reliability assessment of the scale data. Results The scale was found to consist of 8 items and 3 factors according to the factor analyses. Exploratory factor analysis indicated that the scale explained 72.783% of the variance. The scale's reliability analysis produced a Cronbach's Alpha score of 0.679, indicating good internal consistency, and it was consistent with test-retest measures (t = −0.660, p = 0.514). Conclusions It has been determined that the scale is a valid and reliable scale for evaluating the knowledge of parents/caregivers regarding febrile convulsions. Practice implications It is advisable for pediatric nurses to routinely use the devised scale with families of children who are vulnerable to febrile convulsion and impart instruction based on the findings derived from the scale.
  • PublicationRestricted
    The Effect of Interactive Videos Enhanced With Pop-up Questions on Teacher Candidates’ Learning Performance in Science
    (Routledge, 2023) Doğru, M. Said; FATİH, YÜZBAŞIOĞLU; Arpacı, İbrahim
    Background Since the early 20th century, the development and widespread adoption of information technologies have created new opportunities in various aspects of human life, including education. This situation has provided educators with numerous opportunities to develop innovative learning methodologies and environments. Nowadays, interactive videos, commonly used in educational settings, provide students with a self-regulated learning environment where they can access learning materials on-demand. Purpose In this research, our aim was to investigate the impact of interactive videos enriched with pop-up questions on the academic achievements of prospective science teachers. Sample A total of 330 science teacher candidates participated in the study. Study I, conducted to assess teacher candidates’ perceptions, involved 302 participants. Study II, which measured the direct effects of the tests, included 330 participants. Design and Methods The study employed a mixed-method design with a quasi-experimental approach to compare learning outcomes. Results The analysis revealed that the majority of participants expressed that interactive videos significantly contributed to their overall learning. While interactive videos did not have a direct impact on test performance, they were found to have an indirect effect. Conclusion Based on these findings, we concluded that interactive videos with pop-up questions positively influenced learning and are worthy of further exploration in future studies.
  • PublicationRestricted
    An Investigation of the Relationship Between the General Vaccination Attitudes of Pregnant Women and Their Attitudes Toward the COVID-19 Vaccine
    (Routledge, 2023) Mamuk, Rojjin; Akgün, Meryem; MİRAL, MUKADDES TURAN; Göksu, Şerife
    This study aimed to investigate the relationship between the attitudes of pregnant women toward general vaccines based on the Health Belief Model and their attitudes toward the COVID-19 vaccine. The study, which was designed as a descriptive, cross-sectional, and correlational study, was conducted with 348 pregnant women in three public hospitals in Northern Cyprus between June 24 and November 28, 2022. Data were collected using the “Participant Information Form,” “Public Attitude Toward Vaccination Scale-Health Belief Model” (PAVS-HBM), and “Attitudes Toward the COVID-19 Vaccine” (ATV-COVID-19). The COVID-19 vaccination rate among pregnant women was quite high. Pregnant women have a high perception of sensitivity, importance, benefit, and health responsibility for routine vaccines and vaccination programs based on the HBM, and a low perception of barriers to vaccination. These results showed that pregnant women have a determined and positive attitude toward the acceptance of vaccines in general. On the other hand, the attitude of pregnant women toward the COVID-19 vaccine was moderately negative. Despite the reservations about the COVID-19 vaccine, a determined and positive attitude toward vaccines in general has increased acceptance of the COVID-19 vaccine.
  • Publication
    The Importance of Polymers in Medicine and their FTIR and Raman Spectroscopic Investigations
    (IGI Global, 2023) Çelik, Sefa; AKYÜZ, SEVİM; Özel, Ayşen E.
    Polymers are macromolecules with a very high molecular weight that are formed as a result of one or more small molecules bonding to each other, typically by covalent bonds. The concept of macromolecules consisting of many repeating units are published in the article titled "Uber Polymerization," which was first published in 1920 by Hermann Staudinger. The idea of polymers, which have been in our lives for a long time, has thus become an important field of study. Polymers are commonly used in tissue engineering because of their properties such as biocompatibility and biodegradability. In addition, polymers have a wide range of applications in tissue regeneration, drug delivery, and wound healing. Polymers have varying structural properties based on their backbone structure, molecular weight, and crystallinity. For this cause, a great deal of study in the medicine has been based on this category of materials. This workfocuses on the importance of polymers in the medicine, 3D printed polymer composites and Fourier transform infrared, and Raman spectroscopic investigations of polymeric structures.
  • Publication
    Digital Maturity Models: A Holistic Framework for Digital Transformation
    (IGI Global, 2023) YILMAZ, KEMAL ÖZKAN
    This chapter aims to create a general framework on digital maturity models and reveal the highlights of the commonly used components of digital maturity models. The emphasis will be more on detailing human-related fundamental aspects of digital maturity models rather than the technological ones. Considering the incrementally increasing options to reach collaboration technologies and swift deployment of them to different sectors, the main challenge still remains as to manage the psychological asset related parts. Although technology is generally perceived as mechanical, whose boundaries can be drawn, tasks to be assigned can be defined; the technological elements within the concept of digital maturity also intersects with the human-related dimensions of digital transformation. The study aims to advise a systematic approach by offering a theoretical framework to manage human-related factors in a digital transformation journey with an inclusive perspective positioning technology as the core medium provider and contributes to the theoretical background in the field of study.
  • PublicationOpen Access
    An Analytical Approach to Identify Design Criteria for Reducing Earthquake Risks in Residential Interiors
    (Istanbul Teknik Universitesi, Faculty of Architecture, 2023) Garip, S. Banu; Garip, Ervin; Birgönül, Zeynep; GÜZELCİ, HANDAN
    A vital measure to prevent earthquake risks is to retrofit existing buildings or design and construct resistant structures. After increasing the earthquake resistance of buildings, measures taken in building interiors comes to the forefront. In the scope of this study, comprehensive analytical research is conducted to identify the criteria for reducing earthquake risks in the design of residential interior spaces. Reviewing the literature of both national and international publications using the keywords and phrases “Earthquake and Interior Design” “Earthquake and Furniture Design”, “Earthquake and Architectural Design”, “Earthquake and Materials”, “Precautions for Earthquake Damages”, “Earthquake Psychology” is employed as a method. In the next step, criteria extracted from the content analysis are categorized, analyzed and evaluated systematically. Together with this research, a set of measures to reduce earthquake risks for the interior design of residential interiors was presented. It also includes risks and strategies related to categorized interior elements, which designers can use in the design process. Many people could be inside residences, where most daily life is spent during an earthquake. This describes the study’s widespread impact. The design criteria presented are expected to be a source that includes a set of categorized data with a holistic approach to reduce risks, leading to safe design, and ensuring up-to-date continuity of knowledge for future designs.