Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(62)
- Merdan, Mehmet(58)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(43)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(33)
- Öztürk, Serkan(32)
- Araz, Onur(31)
- Demir, Selim(29)
- Kulakaç, Nurşen(29)
- Dokuz, Abdurrahman(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Sipahi, Ferkan(27)
- Topal, Fevzi(27)
- Turan, Ibrahim(27)
- Kandemir, Raif(25)
- Kurt, Kemal(24)
- Ozturk, Samet(24)
- Peker, Iskender(24)
- Vural, Alaaddin(24)
- Reis, Hatice Catal(23)
- Yücel, Cem(23)
- Aydin, Faruk(22)
- Baltaci, Cemalettin(22)
- Gücer, Mehmet Ali(22)
- Günen, Mehmet Akif(22)
- Kankal, Murat(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(20)
- Kurnaz, Muammer(19)
- Tuncer, Metin(19)
- Yolcu, Halil(19)
- Çelik, Necati(19)
- Ürkek, Bayram(19)
- Şan, Murat(19)
- Aliyazicioglu, Yuksel(18)
Yayınlar
- Kitap BölümüYalnız künye2025Human-machine collaboration: How do employees interact with artificial intelligence?
Şimşek, Tuğçe
This chapter examines the conceptual framework of artificial intelligence (AI) systems in the organisational context in terms of human-machine collaboration in three dimensions: supportive, collaborative, and autonomous AI models. A literature review integrates theoretical approaches on employee perceptions, acceptance and resistance processes, and the role of organisational culture in adaptation, establishing connections between performance, motivation, and psychosocial effects. Ethical dimensions are evaluated in the context of autonomy, privacy, and fairness, and the potential consequences of AI on work-life balance and role ambiguity are revealed. The findings point to a lack of empirical research despite conceptual richness and suggest the development of measurement tools with both descriptive and experimental designs. The chapter provides a roadmap for future applied research while emphasising the importance of clarifying strategic decision-making processes related to AI adaptation in an organisational context.
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İncele - MakaleYalnız künye2025Scopus SJRQ1Durability properties of fiber-reinforced geopolymer concrete with natural and industrial waste mineral admixtures
Aksüt, Yavuz Selim; Çullu, Mustafa; Yetgin, Şükrü
In this study, ground granulated blast furnace slag (GGBFS) and quarry rock dust (RD), both industrial and natural mineral wastes were used as binder materials in geopolymer concrete. The influence of these mineral admixtures on the concrete’s durability under aggressive environmental conditions was investigated. Steel, polyester, and hybrid fibers were incorporated at volume fractions of 0%, 0.25%, 0.50%, 0.75%, and 1.0% to further enhance durability performance. Freeze-thaw and sulfate resistance tests were carried out to evaluate the effects of fiber type and content on the durability behavior of the geopolymer concrete. The test results showed that the mineral waste-based binder system itself offered considerable durability while the addition of fibers significantly improved resistance to freeze-thaw cycles and sulfate attacks. Among all types, the geopolymer concrete with 0.5% polyester fiber exhibited the highest resistance to freeze-thaw while hybrid fiber usage provided a balanced enhancement across both test environments.
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İncele - MakaleAçık Erişim2025Scopus SJRQ4Is Spirituality a Source of Support or Conflict for Infertility? A Qualitative Study
Karakaş, Sevda; Akarsu, Rukiye Höbek; Tandoğan, Özden; Şahan, Özlem
Background: Infertility has become an important public health problem in developing countries due to its high prevalence. Infertility is a difficult crisis situation with psychological and spiritual dimensions. Aims: The aim of this study is to determine whether religion provides support or conflict for the infertility process in women. Methods: This research was designed as a descriptive qualitative study. This study was conducted in a governmental hospital's infertility outpatient clinic in Istanbul, Turkey. Twenty participants participated in the face-to-face, in-depth interview technique used to gather the research data. A semi-structured interview and a comprehensive information form were used to gather data. Results: In line with the interviews with the participants, 2 main themes, 9 sub-themes and 12 codes for the sub-themes were determined as the findings obtained based on the content analysis in the study, positive religious behaviors and negative religious behaviors. Conclusions: In our study, it was found that women felt unhappy, hopeless and helpless and could not accept not being able to have children. Women blamed religion for their infertility. Religion first caused infertile women to experience conflict. After the conflict, women with religious affiliation perceived religious support as a source of conflict for others.
- Kitap BölümüYalnız künye2025Adsorption Applications of Different Clay Types for Removal of the Radioactive Wastes
Kiranşan, Murat
The nuclear fuel cycle started from the mining of uranium ore. Nuclear technology is used from medicine to agriculture, from energy to industry but it is not preferred today. Radioactive substances are used in the nuclear technology studies. Radioactive wastes emerges in different activity, physical and chemical conditions in different application field such as medicine, industry and research. Radioactive waste must be management in a safe, economical and environmentally acceptable behavior. In order to facilitate waste management, radioactive wastes are classified according to different criteria. Many different countries have developed different waste classification systems depending on the characteristics required by the waste management to be application. Wastes are processed and removal of as required by their class. Radioactive wastes are generally classified according to the level of radiation and their active time.
AtıfScopus4OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of high B4C ratio on the improvement of mechanical properties and wear resistance of Al2024/B4C composites fabricated by mechanical milling-assisted hot pressing
Beder, Murat
In this study, the effects of 0 wt% (C0), 10 wt% (C1), 20 wt% (C2) and 40 wt% (C3) B4C content on the microstructure, mechanical properties and dry wear properties of Al2024/B4C composites were investigated. In order to prepare Al2024 matrix composites with different B4C particle contents, mechanical milling (MM) and hot pressing (HP) were employed as powder metallurgy methods. It was found that the θ (CuAl2) phase content in the microstructure of Al2024/B4C compact materials increased with increasing B4C particle reinforcement, reaching its highest value at 40 wt% B4C (C3) reinforcement ratio. As the B4C particle reinforcement content increased, the hardness values of the composite samples increased. Flexural strength values were 445.30 MPa, 495.20 MPa, 277.59 MPa, and 129.37 MPa for samples coded C0, C1, C2, and C3, respectively. It was found that the C0 sample without particle reinforcement exhibited more than 10 times the volume loss of the C3 sample with the highest particle reinforcement at 450 m sliding distance. The SEM examination of the friction surfaces of the Al2024/B4C composite samples showed that the worn surfaces were composed of delamination, adhesion and smearing layers.
AtıfScopus17WoS18OpenAlex18İncele - MakaleAçık Erişim2025Scopus SJRQ2Internet Addiction Among Turkish Adults: The Role of Motives for Internet Use
Kaya, Feridun; Rosell, Javiera; Odacı, Hatice; Vergés, Alvaro; Türkkan, Tuğba
The use of the internet has become an increasingly integral part of individuals’ daily lives, bringing negative consequences such as internet addiction. Understanding the motivations behind internet use is crucial for preventing addiction and developing effective intervention strategies. The objectives of this study are to test the validity and reliability of the Questionnaire of Internet Use Motives (MUI) among Turkish adults and to investigate the predictive effects of socio-demographic variables and internet use motivations on internet addiction. The study was conducted with a sample of 640 adults selected through convenience sampling at two different time points. The majority of participants were women, highly educated, and from a middle socioeconomic background. Data were collected using a socio-demographic questionnaire, the Questionnaire of Internet Use Motives (MUI), and the Internet Addiction Test (IAT). To evaluate the structural validity of the scale, a Confirmatory Factor Analysis (CFA) was performed. Additionally, measurement invariance across genders was examined, and Hierarchical Multiple Linear Regression Analyses were conducted to identify predictors of internet addiction. CFA confirmed the structural validity of the MUI, revealing a five-factor structure with a good fit to the data. The five identified motives were enhancement, coping, social, conformity, and utility. The analyses also demonstrated that the scale possesses convergent and discriminant validity, as well as high reliability. Furthermore, the instrument exhibited measurement invariance across genders. Significant predictors of internet addiction included educational level, socioeconomic status, and the enhancement, social, coping, and conformity motives. The validated MUI provides a robust tool for assessing internet use motives in Turkish adults, offering a foundation for future research and intervention development. Addressing psychological motives such as enhancement, social, coping, and conformity in prevention and treatment strategies may reinforce efforts to mitigate problematic internet use.
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İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ4A comparative analysis of microbial, chemical composition, and quality parameters in Kürtün-Araköy and Gümüşhane breads; [Kürtün-Araköy ve Gümüşhane ekmeklerinde mikrobiyal, kimyasal bileşim ve kalite parametrelerinin karşılaştırmalı analizi]
Çimen, Büşra; Yilmaz, Fırat
The objective of this study was to ascertain the distinguishing characteristics of Kürtün-Araköy bread and Gümüşhane bread, two local breads produced in Gümüşhane province in the Eastern Black Sea region. Furthermore, the bread dough samples employed in bread production were subjected to microbiological analyses. It was determined that the number of microorganisms in the sourdough samples used in the production of Gümüşhane bread was high (P<0.001). In this context, breads sold in the Gümüşhane province were collected and subjected to a series of analyses. These included chemical, microbiological, colour and HMF analyses of the bread samples. As a result of microbiological analyses performed on bread samples; It was observed that there were statistical differences in terms of lactic acid bacteria on MRS agar and yeast-mold counts. However, based on the chemical analyses performed on the bread samples, it was determined that there were statistically significant differences between the bread samples. The resulting data were then subjected to statistical analyses, with the objective of determining the differences between the bread samples. This was achieved through the use of PCA analysis, which also enabled the determination of the significance levels of these differences. In addition, the relationship between the colour values of the bread samples and the amount of HMF was also investigated in this study. The findings indicated that as the L* and b* colour values decreased, the HMF content of the bread samples increased. In this study, it was determined that Kürtün-Araköy and Gümüşhane breads have distinctive characteristics.
- MakaleAçık Erişim2025Scopus SJRQ2The effect of disaster resilience and trauma exposure on PTSD, depression, and sleep disorder among healthcare workers involved in the Kahramanmaraş Earthquakes (2023): a structural equation model
Kiymis, Ibrahim; Yuce, Damla Nur
Healthcare workers (HCWs) serve as the cornerstone of health services, which are among the primary needs during disasters. The chaotic environment caused by disasters can lead to mental health disorders in HCWs, similar to those experienced by disaster victims. Experiencing mental health disorders can hinder HCW’s professional approach to intervention. HCWs should not be overlooked for the possibility of experiencing mental health disorders while providing healthcare services during disasters. Therefore, this study aims to examine the impact of psychological resilience and trauma exposure on PTSD, depression, and sleep disorders among HCWs involved in the Kahramanmaraş Earthquakes, which were Turkey’s most devastating earthquakes. In this quantitative research, a survey technique was employed, reaching 642 hCWs involved in the Kahramanmaraş Earthquakes. Structural Equation Modeling (SEM) was used to test the impact of variables on each other. According to the SEM results, trauma exposure in the HCWs had a significant and positive effect on PTSD (β=+0.899, p = 0.000), depression (β=+0.685, p = 0.000), and sleep disorders (β=+0.603, p = 0.000). Psychological resilience had a significant and negative effect on PTSD (β=−0.278, p = 0.004) and depression (β=−0.322, p = 0.008). Surprisingly, psychological resilience had a significant and positive effect on sleep disorders (β=+0.692, p = 0.000). In conclusion, while trauma exposure led to PTSD, depression, and sleep disorders in the HCWs, psychological resilience mitigated PTSD and depression. Unexpectedly, psychological resilience increased sleep disorders. For this reason, it is recommended that future studies investigate in detail the reasons why HCWs experience sleep disorders and examine them in depth.
AtıfScopus5WoS5OpenAlex6İncele - BildiriYalnız künye2025Tumor Classification via Subregion Combinations of Cortical L5PC6 Pyramidal Neurons
Ozcan, Zubeyir; Bozkir, Ilknur Kayikcioglu; Kayikcioglu, Temel
In this study, it was aimed to classify benign and malignant tumor samples by utilizing different subregions of a cortical L5PC6 pyramidal neuron. A spike-based learning method was applied to a real dataset, and a decision mechanism based on action potential generation was established by training a separate neuron for each class. During the training process, various types of synaptic connections and spike encoding schemes were evaluated and intensity coding yielded the highest performance for the pyramidal neuron. Regional analyses revealed that the basilar region particularly stood out in terms of classification success. The results demonstrate that the morphological and biophysical diversity of pyramidal neurons provides a significant advantage in classification tasks.
- MakaleAçık Erişim2025Scopus SJRQ2Algebraic and topological foundations of non-Newtonian analysis via generator functions
Civgin, Emre; Yalcin, Numan
In this paper we explored the algebraic and topological underpinnings of non-Newtonian analysis through the framework of a generator function α. We introduced the α-number systems and the associated arithmetic operations, and we established the corresponding algebraic structures, including groups, fields, and vector spaces defined over α-real numbers. On the topological side, we developed the notions of α-metric spaces and α-sequences, thereby extending core concepts of analysis to the non-Newtonian setting. The study culminates with the formulation of star (*) analysis, which provides a systematic mechanism for transitioning between distinct arithmetic systems, together with a rigorous treatment of *-vector spaces and linear operators.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3Eight Personal Characteristics Scale Related to Vitality in Disasters: Turkish Validity and Reliability
Karadeniz, Havva; Duran Yılmaz, Seçil; Erkuran, Hatun
Objective: This study aimed to validate and ensure the reliability of the Turkish version of the Vitality Questionnaire, which captures traits advantageous for survival, to aid in systematic preparations for future disasters and life challenges. Method: In this study, the Scale of Eight Personal Characteristics Related to Vitality was translated into Turkish by three language experts, validity and reliability analyses were conducted, and a pilot test was carried out with 30 participants. Subsequently, between February 1 and March 1, 2024, online data were collected from 523 individuals across Turkey who had experienced disasters. Results: The average age of participants was 24.09 ± 7.60 years; 72.7% (n = 380) were female. Among participants, 79.2% (n = 359) had experienced an earthquake, 65.1% (n = 56) a flood, and 47.4% (n = 9) a fire. Analysis of the Eight Personal Traits Scale showed the original 8-factor structure was retained, with all item factor loadings above 0.40 and an explained variance of 61.180%. Therefore, no items were removed, and the 8-subdimension structure was accepted. Factor loadings ranged between 0.34 and 0.83. Internal consistency, evaluated through split-half reliability, was found to be at an acceptable level. Conclusion: The analysis and evaluations conducted in this study concluded that the Eight Personal Traits Scale Related to Disaster Vitality is a valid and reliable measurement tool for the Turkish sample in identifying personal traits in the face of disasters.
- MakaleYalnız künye2025Scopus SJRQ3Comparing the effects of dietary sugars on cognitive performance and reaction time: A randomized, placebo- controlled and double-blind experimental trial
Yılmaz, Hacı Ömer; Meriç, Çağdaş Salih; Yabancı Ayhan, Nurcan
The aim of the study was to compare the effects of acute intake dietary sugars on cognitive performance and reaction time. This study was, randomized, placebo-controlled, double-blind experimental design, conducted with 75 healthy adults. At the beginning of the study, the participants (36 male, 39 female; 21.6 ± 1.3 years of age; body mass index: 21.59 ± 1.94 kg/m2) were randomly divided into equal five groups (n:15) (glucose (10 g), fructose (10 g), sucrose (10 g), saccharin (0.24 g), placebo), and received dietary sugars dissolved in 200 mL of water. Cognitive performance was determined with Cancelation Test, and the Simple Response Time and Ruler Drop Tests were used in order to response and reaction time of participants, respectively. General score of cognitive performance (0.93 ± 0.1), reaction (295 ± 20 ms), and response (204 ms) were highest in glucose and lowest in placebo (0.63 ± 0.1; 368 ± 22 ms; 251 ms, respectively) (p <.001). Saccharin groups had a higher reaction (312 ± 22 ms) and response (216 ms) time score compared to consumed fructose (316 ± 39; 227 ms), sucrose (354 ± 26; 246 ms), and placebo (368 ± 22; 251 ms) groups, respectively (p <.001). These findings show that differences in the absorption pattern and sweetness levels of sugar types may have different effects on cognitive performance and reaction time.
AtıfScopus4WoS6OpenAlex5İncele - Kitap BölümüYalnız künye2025Introduction
Özsungur, Fahri; Bekar, Fevziye
This book offers a comprehensive exploration of proactive behavior (PBs) as a pivotal element in modern organizational and individual success. Defined as self-initiated, future-focused action aimed at improvement and change, proactive behavior is examined across a variety of critical domains. The chapters address the influence of empowerment and emotional intelligence, the intersection of mental and occupational health, and the necessity of inclusive strategies for disadvantaged groups, including women and LGBTQ+ individuals. The text also explores the role of leadership, conflict management, and the potential dark sides of proactivity such as burnout and ethical blind spots. Further chapters delve into proactive strategies in non-profit sectors and sustainability efforts, linking behavioral initiatives with environmental responsibility. The final chapter presents emerging methodologies for cultivating proactive behaviors in evolving workplace contexts. Through these interconnected themes, the book offers practical insights and theoretical advancements for fostering proactive cultures in organizations and society.
- MakaleAçık Erişim2025Scopus SJRQ1Advancing sea level anomaly modeling in the black sea with LSTM Auto-Encoders: A novel approach
Yavuzdoğan, A.; Tanir Kayıkçı, E.
Rising sea levels pose significant risks to coastal communities and ecosystems. Accurate modeling of sea level changes is crucial for effective environmental management and disaster mitigation. Machine learning methods are emerging as an important asset in improving sea level predictions and understanding the impacts of climate change. Especially, Long Short-Term Memory (LSTM) models have emerged as a powerful tool for sea level anomaly modeling, but there is an increasing need for more advanced models in this area. This study enhances existing methodologies by introducing a novel approach using an LSTM Auto-Encoder model, designed to compress input data into a lower-dimensional latent space before reconstructing it, thereby capturing complex temporal dependencies and anomalies effectively. We compared LSTM Auto-Encoder model performance with that of a Stacked LSTM network, which learns complex temporal patterns through multiple layers, and a traditional damped-persistence statistical model. Our results demonstrate that the LSTM Auto-Encoder model not only outperformed these models in predicting sea level anomalies across various lead times but also exhibited superior generalization capabilities across both satellite altimeter and in-situ data. These findings highlight the potential of the LSTM Auto-Encoder model as a powerful tool in coastal management and climate change studies, underscoring the critical role of advanced machine learning techniques in enhancing our predictive abilities and informing disaster preparedness strategies.
AtıfScopus6WoS6OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ1Unveiling the bioactive potential of Scabiosa rotata M. Bieb fruits: a landmark study on cytotoxic, antioxidant, and antibacterial activities through liquid chromatography-mass spectrometry profiling and molecular docking
Yildirim, Aybeniz; Celep, Inci Kurt; Gül, Abdulkadir; Eter, Özge Soylu; Baǧcl, Eyüp
The aim of this study was to investigate the antioxidant, cytotoxic, and antibacterial activities of ethanol extract (SRE) and its hexane (SRH), chloroform (SRC), ethyl acetate (SREA), and aqueous ethanol (SRAE) sub-extracts obtained from the fruits of Scabiosa rotata M. Bieb. Molecular docking studies were also performed to evaluate the interactions of the most active sub-extract with the human mitochondrial ABC transporter (ABCB10) protein, plays an important role in cellular oxidative stress regulation and mitochondrial function. Total phenolic (TPC) and flavonoid (TFC) contents and antioxidant radical scavenging activities (1, 1-diphenyl-2-picryl hydrazyl [DPPH] and 3-ethylbenzothiazoline-6 sulfonic acid [ABTS]) of all extracts were determined. Cytotoxic activity was evaluated on different cell lines, such as HepG2 (liver cancer), MCF-7 (breast cancer), and HeLa (cervical cancer) cells. Antibacterial activity was tested against Escherichia coli, Pseudomonas aeruginosa, Enterococcus faecalis, and Staphylococcus aureus. SREA showed the best antioxidant activity with IC50 values of 54.20 μg/ml and 48.56 μg/ml for DPPH and ABTS, respectively, and also had high TPC (499.06 mg GA/g) and TFC (327.45 mg QE/g). Furthermore, SREA showed significant cytotoxicity comparable to cisplatin with IC50 values of 51.29, 51.41, and 52.89 μg/ml for HepG2, MCF-7, and HeLa cells, respectively. However, none of the extracts showed antibacterial activity. The analysis using liquid chromatography-mass spectrometry (LC/MS-MS) on SREA found that the main phenolic compounds are chlorogenic acid, hesperidin, quinic acid, and isoorientin. Molecular docking of the major compounds showed that chlorogenic acid (2.21 mM) exhibited the strongest binding affinity, followed by hesperidin (5.83 mM), quinic acid (8.86 mM), and isoorientin (13 mM). These findings indicate the potential of SREA to be used as a natural antioxidant and anticancer agent.
AtıfScopus7WoS7OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ2SOME PHYSICAL AND MECHANICAL PROPERTIES OF PARTICLE BOARDS PRODUCED WITH HAZELNUT HUSK AND ASTRAGALUS (Astragalus membranaceus) PLANT
Karahan, Selim; Guler, Cengiz
In this study, under laboratory conditions, hazelnut husk and astragalus plant were mixed separately into black pine wood chips, and multi-purpose boards were produced from the obtained chips with urea formaldehyde glue. After the hazelnut husk and astragalus plant were dried and ground, they were added to the chip and glue mixture in certain proportions. Hazelnut husk mixture ratios were applied as 100 %; 0 %, 75 %; 25 %, 50 %; 50 %, 25 %; 75 %, 0 %; 100 % to black pine wood chip in the particle board mixture. These ratios were made in the same way for the astragalus plant. From these mixtures, chipboard blanks of 16 mm thickness and densities between 0,68 g/cm3 and 0,72 g/cm3 were produced. Density, moisture content, thickness increase, water intake, bending strength, modulus of elasticity in bending and tensile strength perpendicular to the surface were tested in physical and mechanical experiments. According to the results obtained, as the participation rate of hazelnut shells and astragalus increased, the durability properties of the panels decreased. At the same time, it shows that the technological properties of the panels produced by adding up to 25 % astragalus plant and hazelnut shells to the mixture comply with the standards.
AtıfScopus2WoS3OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ4Physicochemical, rheological properties, antioxidant activity and mineral amount of the ice cream containing barberry (Berberis vulgaris L.); [Karamuk (Berberis vulgaris L.) ilaveli dondurmanın fizikokimyasal, reolojik özellikleri, antioksidan aktivitesi ve mineral içeriği]
Ürkek, Bayram
Ice cream is classified as a dairy product or frozen dessert. Various fruits have been incorporated into ice cream formulations to enhance their quality and nutritional properties. In this study, ice creams were prepared with barberry at four different concentrations (0%, 5%, 10% and 15%). The physicochemical, rheological characteristics, antioxidant activity, mineral content and sensory properties of the samples were examined. With the addition of barberry, the dry matter (DM), acidity and overrun values increased, while pH and fat content decreased. The viscosity and consistency coefficients were highest in the samples containing 10% and 15% barberry. All samples exhibited pseudoplastic flow behavior. The colorimetric parameters showed significant differences among the samples, except for the C* value. The sample with 5% barberry had higher levels of Ca, Na, Mg, S, Fe and Zn compared to the other barberry-added samples. The sample containing 15% barberry demonstrated the highest DPPH scavenging activity (22.15 μg/mL) and total phenolic content (TPC) (1474.04 mg GAE/g), while the sample without barberry had the lowest values (143.19 μg/mL and 149.48 mg GAE/g, respectively). Additionally, the control sample received the lowest scores for gumming structure, texture, melting in the mouth, resistance to melting and overall acceptability. These findings suggest that incorporating 10% barberry could enhance the quality and nutritional value of ice creams.
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İncele - MakaleYalnız künye2025Scopus SJRQ1Influence of PGA/PGV ratio on the seismic performance of buildings with different slenderness ratios considering soil-structure interaction
Araz, Onur
In this study, the seismic performance of buildings equipped with tuned mass damper (TMD) having different slenderness ratios, subjected to ground motions with varying a wide range of PGA/PGV ratios is investigated, considering soil-structure interaction (SSI). A methodology based on hybrid Genetic Algorithm-Particle Swarm Optimization (GA-PSO) algorithm is proposed to determine the optimal parameters of TMD. For this purpose, three buildings (i.e., 3-story, 6-story, and 12-story buildings) are considered and the dynamic properties of these buildings are determined according to the provisions specified in ASCE-7. These buildings, which are frequently encountered in the traditional building stock, represent low, medium, and high-rise buildings, respectively. In the numerical analysis, three different soil types (i.e., SC, SD, and SE) and 80 ground motions are also considered. These records are divided into three different classes: high, intermediate, and low frequency content. The Newmark integration method is used to determine the dynamic responses of the structures in the time domain analysis. Numerical results show that the frequency content of ground motion and the slenderness ratio have a significant effect in reducing the peak displacement and acceleration responses of structures. The findings also demonstrate that when the PGA/PGV ratio is greater than 2, TMD shows mostly sufficient control performance for all buildings and all support conditions.
AtıfScopus21WoS20OpenAlex17İncele - MakaleAçık Erişim2025Scopus SJRQ1Agrivoltaic system design for sugar beets and wheat in central Anatolia
Yalçın, Ömer; Kuzyaka, Duygu; Özden, Talat
Agrivoltaic systems, which integrate photovoltaic (PV) panels with the usage of agricultural land, emerge as a promising strategy by facilitating the simultaneous generation of renewable energy alongside the cultivation of various crops within the same area. This research is centered on the design and implementation of an agrivoltaic system that is specifically customized for the cultivation of wheat and sugar beet in the Central Anatolia Region of Turkey. The primary objective of this research is to optimize the spatial arrangement of the PV panels to achieve a balance between the generation of energy and the productivity of the crops. Through a detailed assessment of shading effects and Photosynthetic Photon Flux Density (PPFD) levels, this investigation will endeavor to unravel the complex interplay between panel configuration and its consequential impacts on both plant growth and energy output. In this investigation, the shading impacts attributed to three distinct configurations—specifically, the conventional solar power plant (SPP), the intermittently arranged panel layout, and the intermittently arranged V-shaped panel configuration—were assessed, and their appropriateness for the cultivation of wheat and sugar beet was evaluated. The V-shaped design, which additionally facilitates rainwater collection, yielded an enhanced PPFD value across the three designated regions beneath the panels.
AtıfScopus11WoS8İncele - Kitap BölümüYalnız künye2025Managing information asymmetry and conflicting interests in multi stakeholder sustainable supply chains using multi-criteria decision analysis
Şimşek, Ahmet Bahadir; Şimşek, Aybala
This chapter focuses on the challenges which information asymmetry and conflicts of interest present to multi- stakeholder sustainable supply chain design and suggests the use of MCDA to address these challenges. It looks at the ways information imbalances and divergent stakeholder priorities hamper cooperation and sustainability objectives to produce trust problems and ineffectiveness. These challenges are outlined in the chapter using theoretical underpinnings such as Game Theory and Akerlof's Market of Lemons. Next, it illustrates the MCDA's role in dealing with these problems (transparency, balancing conflicting interests and making the decision in an inclusive way). The practical application of MCDA is illustrated via a hypothetical green supply chain project that demonstrates the ability of diverse stakeholder priorities to be harmonised through systematic criteria evaluation and consensus building. The chapter concludes with a discussion of MCDA's potential for integrating environmental, social and economic goals in optimal decision making in complex supply chains.