Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14517/19

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Citation - Scopus: 0
Analysis and Implementation of Sensorless Pmsm Drive With Reduced Dc-Link Capacitance Under Parameter Variations
(Ieee, 2024) Sumsek, Reha Ozgur; Calik, Ramazan; Yavuz, Fikri Serkan; Kivanc, Omer Cihan
In AC drives used in heating, ventilation and air-conditioning applications, film capacitors are becoming widespread instead of electrolytic capacitors in DC-link. These drives with reduced capacitor value provide cost and volume advantages. However, dc-link oscillation increases due to the reduced capacity value. These oscillations cause instability, overvoltage and an increase in total harmonic distortion (THD). On the other hand, the winding temperatures of these motors, which operate continuously under rated operating conditions, reach 80 degrees C. The stator resistance and rotor flux value, which change with the increase in temperature, cause these drives, controlled without sensors, to operate even more unstable. In this study, a hybrid approach is proposed to improve the performance of the inverter using a 16 mu F film capacitor at the dc-link and to reduce the THD. The active damping method regulates the inverter output voltage for DC-link voltage stabilization. A permanent magnet synchronous machine (PMSM) sensorless speed control based on stator feedforward voltage estimation and a model reference adaptive system (MRAS) based on a multiparameter estimation algorithm is performed to minimize the effects of parameter variations. As a result of the experimental studies, it is observed that the grid input current complies with the IEC61000-3-2 standard, even under severe parameter variations.
Citation - Scopus: 0
Artificial Neural Networks; Definition, Properties and Misuses
(Nova Science Publishers, Inc., 2011) Guresen, E.; Kayakutlu, G.
There are no such clear and good definitions of ANNs in the literature. Many of the definitions refer to the figures instead of well explaining the ANNs. That is why many weighted graphs (as in shortest path problem networks) fit the definition of ANN. This study aims to give a clear definition that will differentiate ANN and graphs (or networks) by referring to biological neural networks. Although there is no input choice limitation or prior assumption in ANN, sometimes researchers compare ANN achievements with the results of other methods using different input data and make comments on these results. This study also gives examples from literature to misuses, unfair comparisons and evaluates the underlying reasons which will guide researchers. © 2011 Nova Science Publishers, Inc. All rights reserved.
Citation - Scopus: 0
Central nervous system parasites
(Nova Science Publishers, Inc., 2024) Aydinli, A.; Enerji Sistemleri Mühendisliği / Energy Systems Engineering
When parasitic infections of the Central Nervous System (CNS) are examined, we encounter quite a lot of parasites. Among protozoans, especially free-living amoebae (such as Naegleria, Acanthamoeba, Balamuthia, and Sappinia) have attracted attention in recent years. In addition to these, Microsporidia (Encephalitozoon), Hartmanella, Malaria, Toxoplasma, etc. will appear. It is important that different parasites are identified using different laboratory methods and their treatments are also different. © 2024 Nova Science Publishers, Inc. All rights reserved.
Citation - Scopus: 0
Clinical Application of New Possible Biomarkers in the Assessment and Monitoring of Nutritional Status
(Bentham Science Publishers, 2022) Yesilkaya, B.
Nutrition is directly related to human health. It is very critical to determine the nutritional status to prevent or diagnose diseases and create the right treatment plans. The determination of the nutritional status provides an early diagnosis of growth and development retardation such as malnutrition. It also plays a major role in preventing diseases that may be caused by vitamin and mineral deficiencies. It helps in the surveillance of one of the world's most serious health problems, namely “obesity.” Different ways can be used to assess nutritional status. One of the best ways to assess the nutritional and health status is to use biomarkers. A biomarker is a substance whose detection indicates a specific disease state or a response to a therapeutic intervention. Biomarkers are used to detect nutrient consumption and deficiencies as early as possible, enabling early intervention for metabolic problems. Biomarkers also allow the visualization of diseases that a person might develop or potentially have with a sample, such as blood, tissue, and urine, from the person. Health interventions such as nutritional advice will preserve health or promote rapid recovery. In this chapter, the topic of biomarkers related to nutrition and nutrient deficiencies is discussed. The existence of new possible biomarkers is also reviewed. © 2022, Bentham Books imprint.
Citation - Scopus: 0
Effect of Etl and Htl Layers on the Performance of Perovskite Solar Cells Using Scaps-1d Algorithm
(Institute of Electrical and Electronics Engineers Inc., 2024) Muslim, A.; Altürk, E.; Bilgiç, I.
The photovoltaic conversion efficiency of perovskite solar cells has been significantly improved by the global scientific community in a short period of time. From 3.8% to 25.7%, this efficiency has increased dramatically. The goal of the current study is to model perovskite solar cells and enhance the performance of hole and electron transport layers. In this study, the SCAPS-1D simulation software is employed to assess the efficiency of solar cells. This study elaborated on different Electron transport layers and hole transport layers with SCAPs-1D. TiO2 functions effectively as an electron transport layer, while Cu2O serves as an ideal hole transport layer. The device demonstrated an impressive photovoltaic conversion efficiency of 28.31%, an open-circuit voltage (Voc) of 1.09 V, a current density of 30.14 mA/cm2, and a fill factor of 85.93%. Thus, lead-free perovskite solar cells are environmentally friendly and promising for future solar cells. The objective of this study is to determine the ideal thickness of the absorbent layer. © 2024 IEEE.
Citation - WoS: 3
Effect of External Innovation Capacity on Company Level Innovativeness
(Management & Business Acad, 2021) Okatan, Kagan; Alankus, Orhan Behic
This study focuses on the correlation of national innovation inputs and the external innovation environment with the company-level innovation output. Since all companies are aiming at sustainable innovation to ensure sustainable profit growth, the current literature has highlighted the need for a well-structured internal innovation system for innovation success and discussed the factors affecting the performance of organisations. The internal innovation system has its own dimensions that affect the success of the whole system and emphasize the significant impact of firms on innovation results. Do all companies with a high internal innovation competency and a suitable corporate culture have the chance to become worldwide innovative? What are the impacts of the external environment where the companies are located on the innovation success? And how big is the importance of external environmental inputs? This study seeks to answer these questions and draws attention to the appropriate external environment and conditions to increase firms' innovation competencies.
Examining The Relationship Between Compassion Fatigue And Caring Behaviors In Nurses: A Cross-sectional Study
(Association of Executive Nurses, 2024) Aslan, Z.T.; Baykara Mat, S.T.
Aim: The study aimed to examine the relationship between compassion fatigue and caring behaviors in nurses. Method: The population of the cross-sectional design research consists of nurses serving in three hospitals affiliated with the Ministry of Health in Istanbul between 01.12.2022 and 01.12.2023 (N: 1,620). The study was conducted with 346 nurses who volunteered to participate in the research (n: 346). Personal and Professional Information, Compassion Fatigue-Brief Scale, and Caring Behaviors Scale-30 were used. Descriptive statistics, independent groups t test, one-way ANOVA tests and Pearson correlation analysis were used to analyze the data. Results: It was determined that 78.6% of the participants were women, the average age was 27.97 and the weekly working hours were 47.22. It was observed that 83.5% of the participants worked in shifts, 33.5% were dissatisfied with working in the institution and 13.0% were dissatisfied with working in the unit. The compassion fatigue scale score was found to be 60.62 (23.26), and the caring behaviors scale score was 159.37 (20.69). It was determined that female participants and those who were dissatisfied with their field of work had high compassion fatigue scores, and those who were satisfied had high care behavior scores (p<0.05). There was no statistically significant relationship between compassion fatigue and caring behaviors scale and subscale scores. It was observed that there was a positive significant relationship between weekly working hours and compassion fatigue and caring behaviors scale scores (p<0.05). Conclusion: It was revealed that nurses' compassion fatigue was at a moderate level, and women and those who were dissatisfied with the unit they worked in experienced high compassion fatigue. Weekly working hours were found to be effective on compassion fatigue and caring behaviors. It is recommended to improve working environments in order to improve the quality of care. © 2024 The Authors. Published by Association of Nurse Managers.
Citation - WoS: 0
Citation - Scopus: 0
Features Of Popular Sport Movies
(Ataturk Universitesi, 2022) Çetinkaya, G.; Kizilçam, M.; Spor Yöneticiliği / Sports Management
The aim of our study is to try to reveal the general features of popular sports movies. The research was pre-pared with the qualitative method and designed in the descriptive survey model. In this context, all sports movies in the IMDb database were scanned and 307 popular movies were included in the study. The data obtained through the SPSS 25.0 program were analyzed. According to the research findings; It is seen that American cinema leads popular sports movies (71.7%). It has been determined that sports is an important content in British cinema (8.5%) and Indian cinema. Boxing (11.7%), American football (11.1%), baseball (9.8%), racing sports (7.8%), basketball (7.2%), football (6.8%), and combat sports (6.2%) are other sports branches that are frequently featured in the films that are the subject of the research. The main theme that stands out in the movies is drama (65.80%). It was found that the other mostly covered themes were comedy (41.69%) and biography (22.80%). It is observed that popular sports movies make a great profit (69.34%). The arithmetic mean of the scores of the movies from the audience was found to be 6.75 out of 10. The metascore arithmetic mean is 48.57 out of 100. It has been concluded that popular sports films, which are one of the important contents for world cinema, have been appreciated by the audience in general, but cannot show the same success in the critics of cinema professionals. © Author(s).
Citation - WoS: 0
Citation - Scopus: 0
The Impact of Climate Change Anxiety on the Willingness To Have Children Among Married Individuals
(Springer Heidelberg, 2024) Efeturk, Nida; Gokcay, Gonul; Akgun, Zeynep Genc; Cevirme, Ayse; Ameliyathane Hizmetleri / Operating Room Services
AimThis study aims to examine the impact of climate change anxiety on the willingness to have children among married individuals.Subject and methodsThe research is designed as a descriptive study within a relational screening model. The study sample consists of 977 married individuals aged 18-49. Data collection tools include the Sociodemographic Information Questionnaire, Climate Change Anxiety Scale, and the Willingness to Have Children Scale. Data were evaluated using SPSS 27-V.ResultsAmong the participants, 73.2% are women, and 79.5% live in nuclear families. Participants scored an average of 28.58 +/- 9.212 on the Climate Change Anxiety Scale and 54.05 +/- 7.647 on the Willingness to Have Children Scale. The impact of individuals' climate change anxiety on their willingness to have children was determined using simple linear regression. The findings indicate that climate change anxiety significantly predicts the willingness to have children.ConclusionThe results of the study suggest that climate change has significant effects not only on the environment but also on psychological health, influencing individuals' decisions regarding having children. These findings highlight the need for climate change mitigation policies to consider psychological well-being alongside environmental solutions. It is recommended to implement awareness-raising education and establish psychological support mechanisms for different segments of society.
Citation - WoS: 0
Citation - Scopus: 0
Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks
(Turkish Chamber Civil Engineers, 2022) Dündar, Selim; İnşaat Mühendisliği / Civil Engineering
Service quality is one of the main issues of today's world. Firms operating in the passenger transportation sector are also trying to improve the quality of the services they provide to their passengers. It is crucial to determine the passenger service quality perceptions and priorities to evaluate and improve the service in this context. In this study, Kocaeli tram user service quality perceptions have been evaluated by applying a survey consisting of 20 questions and user satisfaction levels from different service dimensions. Then, an artificial neural network model was developed using the demographic data of the users and their responses to the survey questions to mimic their service quality satisfaction. The artificial neural network model developed has been examined to understand the importance that tram users give to service quality. Using the developed “change of score” method, how the changes to be made in the tram system will affect the quality of service and, hence, how the opinions of different user groups will be affected can be examined in detail. The artificial neural network model prediction capability was compared with that of the multiple linear regression model, and found its superiority. Based on the developed Change of Score Method, the most frequent user attaches the highest importance to the service dimensions of the convenience to pay for the tram, getting his/her destination on time, and reducing environmental pollution.
Citation - Scopus: 0
Prediction of Short Term Traffic Speeds Using Deep Learning Models
(Institute of Electrical and Electronics Engineers Inc., 2024) Alp, S.; Dündar, S.; İnşaat Mühendisliği / Civil Engineering
In this study, real-time traffic forecasting was conducted using traffic speed data obtained from Bluetooth sensors located in the city of Vigo, Spain. For this purpose, average speed data recorded at fifteen-minute intervals from five different sensors in the city since 2014 were used. Using past average speed values in a time series format as inputs, various deep learning methods were applied to predict traffic speed data for the next fifteen minutes. The Long Short-Term Memory (LSTM) method achieved the highest performance in traffic forecasting. Incorporating additional factors such as time, weather conditions, and environmental factors into the models, along with time-series traffic volumes, could further enhance the performance of near-future traffic forecasting. © 2024 IEEE.
Citation - Scopus: 0
Pseudocereal Protein—application and Health Benefits
(Elsevier, 2024) Ozdal, T.; Abu-Khalil, F.
Pseudocereals have emerged as nutritious powerhouses, delivering a diversity of proteins that suit nutritional needs and culinary innovations in a world where dietary choices and nutritional awareness are growing at an unprecedented rate. Pseudocereals are crops that are not often used yet are rich in protein and do not contain gluten, making them a great choice for those following a gluten-free diet. This in-depth investigation digs into the fascinating world of pseudo-grains, which include amaranth, buckwheat, quinoa, and chia seeds, as well as the lesser-known albumen and wattleseeds. This underutilized pseudocereal is high in vital fatty acids, amino acids, phenolic compounds, flavonoids, vitamins, and minerals. The quantity and quality of protein provided by grains determines their importance and function. Proteins derived from plants are naturally occurring, inexpensive, and deemed safe for human consumption. This review article discusses the protein content and amino acid composition of pseudocereals, techniques of protein extraction and isolation, uses of different pseudocereal proteins, and health benefits of different pseudocereal proteins. The article explores how pseudocereals have the potential to improve the quality of gluten-free products like bread, pasta, beverages, and biscuits. Pseudo-grains have high nutritional value and are gluten-free, making them an excellent alternative for boosting the quality of traditional diets. © 2025 Elsevier Inc. All rights reserved.
Citation - Scopus: 0
Pulse Protein: Characterization, Extraction and Functionalities
(Elsevier, 2024) Ozdal, T.; Abu-Khalil, F.
An increasing global population necessitates the production of nutrient-dense foods. Protein is an essential macronutrient for healthy people. Plant proteins have gained popularity in recent years due to their sustainability and nutritional benefits. Pulse proteins, which are generated from leguminous crops including peas, lentils, chickpeas, and beans, have lately acquired prominence due to their critical role in ensuring sustainable and nutritious food systems. Pulse proteins have emerged as a critical component in tackling worldwide concerns of food security and sustainability. This chapter looks at recent advancements in the pretreatment and fractionation procedures used to make pulse protein concentrates and isolates. Another aspect underlining its multidimensional value is its nutritional richness, as pulse proteins supply an excellent set of essential amino acids that are required for human health. Solubility, emulsification capabilities, foaming properties, gelation, water-binding capacity, and lipid-binding capacity of fractionated pulse proteins are also investigated. Pulse proteins, in short, have emerged as a revolutionary force in transforming the global food environment. This article offers a comprehensive view of legume proteins, from their nutritional content to their contribution to environmental sustainability, and emphasizes their importance in modern gastronomy, providing nutritional benefits as well as innovative opportunities for developing environmentally friendly food products. © 2025 Elsevier Inc. All rights reserved.
Citation - WoS: 0
Citation - Scopus: 0
Sınır Kişilik Bozukluğunda Dürtüsellik ve Riskli Karar Verme Eğiliminin Sosyal Biliş Becerileriyle İlişkisi
(Turkish Neuropsychiatry Assoc-turk Noropsikiyatri dernegi, 2024) Vatansever, Büşra Kuzgun; Büyükgök, Deniz; Aypak, Oya Çelik; Şahin, Doğan; Ercis, Mete; Ercis, Mete; Psikoloji / Pshchology
Amaç: Bu çalışma, Sınır Kişilik Bozukluğu (SKB) tanılı bireylerde karar verme süreçlerini nöropsikolojik testlerle değerlendirerek, SKB’ye özgü bilişsel özelliklerin karar verme süreçleriyle ilişkisini sağlıklı kontrollerle karşılaştırarak incelemeyi hedeflemektedir. Yöntem: Çalışmanın örneklemi SKB tanılı hasta grubu (n=27) ile psikiyatrik tanısı olmayan sağlıklı katılımcılardan (n=28) oluşmaktadır. Hastalık şiddetinin değerlendirilmesi için Borderline Kişilik Envanteri (BKE), nöropsikolojik değerlendirme için Iowa Kumar Testi (IKT), Stroop Testi, Benton Yüz Tanıma Testi, Gözlerden Zihin Okuma Testi, Dokuz Eylül Zihin Teorisi Ölçeği (DEZTÖ), WMS-R Sayı Menzili ve Mantıksal Bellek Alt Ölçeği uygulanmıştır. Bulgular: SKB grubu ile kontrol grubu arasında BKE puanlarında anlamlı düzeyde farklılık izlenmektedir (p=0,02). Stroop Testi’ndeki enterferans süresi ve hata sayıları açısından gruplar arası anlamlı bir fark izlenmezken, spontan düzeltme cevap sayılarının anlamlı düzeyde farklılık taşıdığı (p=0,02) gözlenmiştir. WMS-R Mantıksal Bellek alt testi A hikâyesinin anlık hatırlama puanlarında gruplar arasında fark olduğu (p<0,01) tespit edilmiştir. IKT’de ilk yarıda A destesinden (p=0,028) son yarıda ise B destesinden (p=0,03) seçme eğiliminde gruplar arasında fark izlenmektedir. Son olarak, DEZTÖ’de iki grup arasında toplam puanda (p<0,01) izlenen anlamlı farkın 2. derece yanlış inanç (p=0,024) ve empati (p=0,027) görevlerinde ortaya çıktığı görülmüştür. Sonuç: Çalışmamız örneklemini oluşturan SKB tanılı bireylerin uygunsuz cevabın inhibisyonunda minimal güçlüğe sahip oldukları, bu güçlüğün karar verme davranışında dezavantajlı seçimler yapmayla ilişkili olduğu sonucuna ulaşılmıştır. Ayrıca, SKB tanılı bireylerin dışsal ipuçlarından zihinsel durumları yordamada başarılı oldukları fakat sosyal bir örüntü dâhilinde ipuçlarını bütünleştirme ve uyumlu öyküleştirme yapmakta zorlandıkları görülmüştür.
Citation - Scopus: 0
Sourdough-Based Microbiota, Fermentations, and Development of Taste and Aroma Active Compounds and Their Impact on the Final Products and in the Global Sensorial Perception and Preferences by the Consumers
(Elsevier, 2024) Ozdal, T.; Abu-Khalil, F.
The practice of making bread from sourdough is an ancient science as it was used by the ancient Egyptians as early as 2000 BC. Around the world, both artisanal and commercial bread production uses sourdough culture in a variety of ways. In the world of microorganisms based on sourdough, fermentation processes are not just cooking processes; It is complex arrangements of microbial communities that give rise to countless taste and odor-active compounds. These substances, created by the symbiotic interaction between wild yeast and lactic acid bacteria (LAB), not only give sourdough bread its distinctive flavors but also have significant effects on the health of the human body. Recent studies have shown a wealth of health benefits, from higher nutrient bioavailability to improved digestion, making sourdough a nutritional ally. In addition to their physiological benefits, these substances have a significant impact on how customers perceive fermented goods on a sensory level. This review highlights what is currently known about the sourdough microbial ecosystem and the symbiotic relationship between sourdough microorganisms, the chemistry of fermentation, the interesting diversity of sourdough, and the factors that influence the sensory qualities of the final product. © 2025 Elsevier Inc. All rights reserved.
Citation - Scopus: 0
A systematic review on personalized hybrid diet recommendations
(Elsevier, 2024) Sandra, M.; Aarthi, K.; Thilagasree, C.S.; Ahmadian, A.; Narayanamoorthy, S.
A nutritious diet is necessary for a healthier life. A psychographic decision such as eating poor nutrient-dense food might have serious health effects on individuals. Inadequate eating habits are strongly associated with a higher risk of developing noncommunicable diseases, such as chronic respiratory, cardiovascular, diabetes, and hypertension. Nowadays, people focus more on taking pharmaceuticals than on changing their diets. For those with busy schedules and little awareness of healthy initiatives, an appropriate nutrition prescription is provided to help them avoid such repercussions. The purpose of the chapter is to analyze the multicriteria decision making (MCDM) tool's worldwide application and acceptance in relation to dietary guidelines. A thoughtful examination of 17 manuscripts published between 2015 and 2023 and catalogued by IEEE Xplore, Springer, Google Scholar, and Science Direct has been developed to comprehend the use of this tool and their function in nutritional requirements. This chapter advances to the corpus of knowledge on fuzzy MCDM by presenting a profound vision through a conceptual understanding of fuzzy MCDM in dietary suggestions from a mathematical perspective. According to the study's findings, traditional fuzzy sets were the most favored sets, and fuzzy analytic hierarchy process (AHP) was the most widely used MCDM approach, whether used independently or in conjunction with another method. Additionally, India has the most publications utilizing fuzzy MCDM techniques to address diet-related issues. © 2025 Elsevier Inc. All rights reserved.
Testis Stereology
(Nova Science Publishers, Inc., 2024) Altunkaynak, B.Z.; Bayçu, C.
The male reproductive system includes the testes, special ducts, secretory glands, and penis. The human testes appear as a pair of oval-shaped organs. These are located in a sac known as the scrotum, located behind the penis and in front of the anus. The testis has two main functions, sperm production performed in morphologically different compartments, and synthesis of steroid hormones such as testosterone, important for male reproductive physiology. Sperms are located and produced in the wall of the seminiferous tubules, which are embedded in the testicular connective tissue bulge. The structure and quantitative properties of the testis may change in line with various embryological, environmental, and pathological events, and these changes directly affect the performance of the male reproductive system. The effects of different conditions or treatments on testicular morphology can be determined in a qualitative manner. Designbased stereological methods provide quantitative morphological data concerning the morphometric features of the testis. Volumetric values elicited from the testes, seminiferous tubules, interstitial tissue, and germinal epithelium, numbers in the different cell groups, and the diameter of the tubules or thickness of the basal membrane can be easily determined from light and electron microscopic testis sections using these methods. The purpose of this chapter is to provide basic information about the general structure of the testis and how it can be stereologically evaluated. © 2024 Nova Science Publishers, Inc. All rights reserved.
Citation - Scopus: 0
Uncertainty in Computational Intelligence-Based Decision Making: A volume in Advanced Studies in Complex Systems
(Elsevier, 2024) Ahmadian, A.; Salahshour, S.; Balas, V.E.; Baleanu, D.
Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science. © 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
Citation - Scopus: 1
Water Law and Cooperation in the Euphrates-Tigris Region: a Comparative and Interdisciplinary Approach
(Brill, 2013) Kibaroglu, A.; Kirschner, A.; Mehring, S.; Wolfrum, R.
With a special focus on normative questions of water governance in the relations between Iraq, Syria and Turkey, Water Law and Cooperation in the Euphrates-Tigris Region: A Comparative and Interdisciplinary Approach examines different issues of management regarding these shared waters. © 2013 by Koninklijke Brill NV. All rights reserved.

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