Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(77)
- Merdan, Mehmet(73)
- Duran, Celal(54)
- Ozdes, Duygu(50)
- Baltaci, Cemalettin(45)
- Kaygusuz, Abdullah(45)
- Kulakaç, Nurşen(39)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(37)
- Demir, Selim(36)
- Öztürk, Serkan(36)
- Dokuz, Abdurrahman(35)
- Turan, Ibrahim(35)
- Araz, Onur(33)
- Kandemir, Raif(31)
- Sipahi, Ferkan(30)
- Topal, Fevzi(30)
- Kurt, Kemal(28)
- Peker, Iskender(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Ozturk, Samet(27)
- Aydin, Aydanur(26)
- Vural, Alaaddin(26)
- Bayrakdaroglu, Serdar(25)
- Kurnaz, Muammer(25)
- Reis, Hatice Catal(25)
- Akar, Zeynep(24)
- Aydin, Faruk(24)
- Gücer, Mehmet Ali(24)
- Topal, Meryem(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Anaç, Halil(23)
- Kankal, Murat(23)
- Ürkek, Bayram(23)
- Aliyazicioglu, Yuksel(22)
- Günen, Mehmet Akif(22)
- Tuncer, Metin(22)
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ3Factors Influencing Coordination Dynamics in Disaster Response: Governance Insights from the 2023 Kahramanmaraş Earthquakes
Camurcu, Melike; Oral, Vildan; Cengiz, Ekrem
Following the 2023 Kahramanmaraş-centered earthquakes in Türkiye, multi-actor and multi-sectoral response structures were implemented, creating significant challenges in coordination. Accordingly, the current study aims to assess the factors affecting intra- and inter-team coordination in disaster response processes, as well as the factors that negatively impact coordination activities, and to propose recommendations for improvement. The study is based on data collection from expert participants working at the disaster coordination center using qualitative research methods. Thematic analysis was used in the analysis of interview data, and coordination problems were identified as arising from seven main themes. The results highlight the importance of reducing centralization, modular training, empowering local actors, horizontal organization, delegation of authority, and participatory governance models. Content of this journal is licensed under a Creative Commons Attribution 4.0 International Non-Commercial LicenseTÜRK
AtıfOpenAlex1TR Dizin1
İncele - MakaleYalnız künye2025Scopus SJRQ2A Comprehensive Assessment for the Aftershock Sequence of August 11, 2012 Varzaghan-Ahar Doublet Mainshocks, NW Iran
Öztürk, Serkan; Yaghmaei-Sabegh, Saman
In this study, an evaluation of regional, temporal and magnitude properties of the August 11, 2012 Varzaghan-Ahar aftershock sequence was performed based on the different variables such as the Gutenberg-Richter b-value, the Modified Omori p-value, fractal dimension Dc-value and the maximum aftershock magnitude Mamax value which commonly used to describe aftershock behaviors. b-value was computed as 0.73 ± 0.03 for the study area where catalog has a completeness magnitude Mc = 2.0. This b-value is relatively small from typical b≈1 and it can be due to the abundance of aftershocks larger than Mw = 4 in the region. Structural heterogeneity of the seismic source along with the compressive stress situation of the aftershock area could be another reason for this finding as well. p-value was estimated as 1.00 ± 0.03 where c-value took 0.342 ± 0.106 according to the analysis which shows that the number of aftershocks of the Varzaghan-Ahar mainshock shows a relatively fast decrease. Dc-value was computed as 1.84 ± 0.07. This large value indicates homogeneously distributed aftershocks and more clustering in smaller areas or larger scales. As a result, the smallest b-values (< 0.7) and Mamax values larger than 5.0 were obtained around the mainshock. In addition, the biggest p-values (> 1.2) were found in and around the mainshock including Varzaghan. The areas having the biggest p-value and the lowest b-value have great coseismic deformation and stress, respectively. Hence, we can say that coseismic deformation and stress distributions are very effective on the b- and p-value changes. Thus, particular attention on assessing the aftershock hazard may be directed on the understanding of these spatio-temporal aftershock variables.
AtıfScopus2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Insight into the adsorptive removal of Cr(VI) ions and 4-chlorophenol from aqueous media on cationic surfactant-modified cucumber peels
Ozeken, Sengul Tugba; Ozdes, Duygu; Duran, Celal
A new and cost-effective adsorbent material was developed by chemical modification of cucumber peels (CP) with a cationic surfactant, cetyltrimethylammonium bromide (CTAB). The adsorptive behavior of CTAB-modified cucumber peels (CMCP) was investigated in the retention of an organic pollutant (4-chlorophenol) and an inorganic pollutant (Cr(VI)) through batch experiments. The adsorbents were characterized by Fourier transform infrared spectroscopy (FTIR) analysis and scanning electron microscopy (SEM) technique. Influences of initial concentrations of both pollutants, dosage of CMCP, initial solution pH, contact time, and foreign ions were parameters used to specify the optimized conditions. Results of the experiments were evaluated by three kinetic models, namely pseudo-first-order, pseudo-second-order, and intraparticle diffusion models, to find out the dominant mechanisms in the retention of 4-chlorophenol and Cr(VI). Langmuir, Freundlich, and Dubinin–Radushkevich isotherm models were applied to the adsorption data to estimate the adsorption capacity of CMCP and to describe the interactions between the species. Langmuir isotherm model fitted the data well, and the maximum Cr(VI) and 4-chlorophenol adsorption capacities of CMCP were 84.03 mg g−1 and 107.5 mg g−1, respectively. Consequently, CMCP demonstrated outstanding performance in the adsorption of both inorganic and organic pollutants, offering a low-cost, easily prepared alternative to other adsorbents reported in the literature.
AtıfScopus3WoS3OpenAlex3
İncele - MakaleAçık Erişim2025Scopus SJRQ1Enhancing mineral processing with deep learning: Automated quartz identification using thin section images
Külekçi, Gökhan; Hacıefendioğlu, Kemal; Başağa, Hasan Basri
The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial significance. Traditional methods of quartz identification in thin sections are labor-intensive and require significant expertise, often complicated by the coexistence of other minerals. This study presents a novel approach leveraging deep learning techniques combined with hyperspectral imaging to automate the identification process of quartz minerals. The utilizied four advanced deep learning models—PSPNet, U-Net, FPN, and LinkNet—has significant advancements in efficiency and accuracy. Among these models, PSPNet exhibited superior performance, achieving the highest intersection over union (IoU) scores and demonstrating exceptional reliability in segmenting quartz minerals, even in complex scenarios. The study involved a comprehensive dataset of 120 thin sections, encompassing 2470 hyperspectral images prepared from 20 rock samples. Expert-reviewed masks were used for model training, ensuring robust segmentation results. This automated approach not only expedites the recognition process but also enhances reliability, providing a valuable tool for geologists and advancing the field of mineralogical analysis.
AtıfScopus12WoS11OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ3Turkish Version of the Sense of Belonging in Nursing School Scale: Validity and Reliability for Nursing Students
Tuncer, Metin; Tuncer, Gülsüm Zekiye; Yalçınkaya, Turgay; İnce, Merve; Yücel, Şebnem Çınar; Khorshid, Leyla
Background: While a sense of belonging may be necessary for human motivation, the disruption of this sense of belonging among nurses can have implications for patient care and safety. Aim: This article was aimed at assessing the sense of belonging experienced by nursing students in three different settings (clinic, classroom, and student group) by conducting the validity and reliability of the Sense of Belonging in Nursing School (SBNS) scale, adapting it to the Turkish language and culture, and reporting the results. Methods: The study was conducted in a nursing faculty between March and July 2023. The study sample comprised 193 nursing students. We performed the content validity assessment of the 19-item SBNS scale after conducting a structural validity analysis using exploratory factor analysis and confirmatory factor analysis (CFA). The Cronbach’s alpha and item-total score correlations were examined to assess the scale’s internal consistency. Results: The Kaiser–Meyer–Olkin measure of sampling adequacy for the SBNS instrument was 0.903, and the result of Bartlett’s test of sphericity was significant (χ² = 3182.764, p = 0.000), indicating that the scale was suitable for factor analysis. The eigenvalue analysis identified a four-factor structure explaining 76.74% of the total variance. These four factors were subsequently named as follows: (1) clinical compliance, (2) social belonging, (3) school support, and (4) clinical support. The goodness-of-fit values for the model obtained from the CFA were χ2/SD = 2.15, comparative fit index = 0.947, goodness-of-fit index = 0.852, normed fit index = 0.906, incremental fit index = 0.948, and root mean square error of approximation = 0.077, suggesting that the model fit was acceptable, and the four-factor structure was well distributed. The scale exhibited high internal consistency (α = 0.933). Discussion: The SBNS scale is a reliable and valid instrument for measuring the sense of belonging experienced by nursing students in three different environments. Further research is needed to establish its predictive validity. Conclusions and Implications for Nursing: This study was conducted, and there was no scale used in the Turkish literature to measure nursing students’ sense of school belonging; thus, it is the first in this sense.
AtıfScopus1WoS1OpenAlex1
İncele - MakaleAçık Erişim2025Scopus SJRQ3Psychometric evaluation and cultural adaptation of the Turkish version of the needs assessment tool: progressive disease-heart failure (NAT: PD-HF)
Kiliç, Betülay; Palaz, Ilknur; Gürel, Tugba Yardimci
Heart failure (HF) is a progressive, life-limiting condition that often leads to complex physical, emotional, and social needs. This study aimed to translate, culturally adapt, and validate the Turkish version of the Needs Assessment Tool: Progressive Disease-Heart Failure (NAT: PD-HF) to facilitate the timely identification of palliative care needs. A total of 98 patients with chronic HF, 91 caregivers, and 25 healthcare professionals participated in this single-centre validation study. The tool underwent forward-backward translation and pilot testing. Internal consistency was good (Cronbach’s α = 0.812), and inter-rater and test-retest reliabilities were high (PABAK: 0.908–1.000). Most patients (84.7%) found the tool understandable, and 67.7% felt it enhanced care. Healthcare professionals from cardiology, intensive care, and palliative care rated it as clinically relevant and feasible. The Turkish NAT: PD-HF is a valid, reliable, and culturally appropriate tool for identifying the palliative care needs of patients with HF and their caregivers. This tool can be integrated into routine clinical practice to facilitate early identification of palliative care needs.
- MakaleYalnız künye2025Scopus SJRQ2A comparative study of cognitive function and reaction time in obese and non-obese adults
Yılmaz, Hacı Ömer; Şahin, Kezban; Ayvaz, Hilal
Objective: Obesity may negatively affect the physical health and cognitive functions of individuals and delay their reaction time to stimuli. However, the association among obesity, cognitive functions, and reaction times is yet to be fully elucidated. The aim of this study was to assess the effect of obesity on cognitive functions and visual and auditory reaction times in adults. Methods: Data of 100 participants (50 obese and 50 normal) were analyzed in the study. Anthropometric parameters and 24-h dietary recall data were recorded. The Montreal Cognitive Assessment (MoCA) was used to evaluate the cognitive functions, Simple Reaction Time Task (SRTT)-Visual and SRTT-Auditory were used to assess visual and auditory reaction times of the participants, respectively. Results: The mean MoCA score of the obese was significantly lower than normal (17.46 and 25.22, respectively; p < 0.001). In addition, the mean auditory (p < 0.001) and visual (p < 0.05) reaction times of obese were significantly longer than normal. Similarly, this condition was also observed for the fastest and lowest values of auditory and visual reaction times. Additionally, obesity caused a decrease in the MoCA score (β = -0.762; p < 0.001) and delayed visual (β = 0.423; p < 0.001) and auditory (β = 0.590; p < 0.001) reactions. The negative effect of obesity was maintained after controlling for potential factors (MoCA, β = -0.594; p < 0.001; SRTT-Auditory, β = 0.409; p < 0.01; SRTT-Visual, β = 0.330; p < 0.05). Conclusion: Obese participants showed worse cognitive, auditory and visual performance. Additional research will be necessary in the future to shed light on the fundamental mechanisms involved.
AtıfScopus4WoS6OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Niche dynamics and climate change sensitivity in western Palearctic Zamenis ratsnakes (Reptilia: Colubridae)
Vaissi, Somaye; Kürşat Şahin, Mehmet; Kurnaz, Muammer
Climate change poses a significant threat to ectothermic, dispersal-limited reptiles such as Zamenis snakes in the western Palearctic. This study used ensemble ecological models to assess the potential distribution of six Zamenis species under climate change scenarios (SSP1-2.6 and SSP5-8.5). In addition, we examined niche dynamics through overlap, equivalency, and similarity analyses. Results reveal distinct ecological niches for each species, primarily influenced by temperature and precipitation. Projected distribution shifts vary across species, with some species like Z. persicus and Z. situla showing potential for range expansion, while others such as Z. lineatus and Z. scalaris face significant habitat loss. Z. hohenackeri and Z. longissimus exhibit complex patterns of both expansion and contraction. Niche analyses indicate varying degrees of overlap among species, with a trend toward niche conservatism. This study underscores the importance of niche ecology in understanding climate change impacts and highlights the need for species-specific conservation strategies.
AtıfScopus8WoS8İncele - MakaleAçık Erişim2025Scopus SJRQ3MODELING THE KINETICS OF HYDROXYMETHYLFURFURAL (HMF) FORMATION IN POMEGRANATE SOUR PRODUCED BY DIFFERENT EVAPORATION METHODS
Erdoğdu, Esma Gülbahar; Akar, Bülent; Baltacı, Cemalettin
Pomegranate sour is a traditional functional food that is widely consumed in Türkiye. The aim of this study is to determine the most convenient evaporation method to keep the amount of HMF, a carcinogenic substance formed as a result of high temperatures in the production of pomegranate sour, at low levels. The pomegranate sours were produced using five different evaporation methods (atmospheric pressure (AP), freeze-drying (FD), open air (OA), vacuum assisted (VA) and fan assisted (FA)) and the amount of HMF formed during the process was determined. Kinetic calculations showed that VA and FA methods followed first-order reaction kinetics at 60, 70 and 80 °C, while OA, FD and AP methods followed zero-order reaction kinetics at 80, 90 and 100 °C. The mean Q10 value was 1.0006, while the activation energy (Ea) ranged from 72.56 to 126.38 kJ/mol. It was found that the amount of HMF formed varied according to the method, temperature and production time and that the reaction rates increased with increasing temperature, especially for the OA method. In addition, pH, titratable acidity, invert and total sugar content, color, Brix and browning index were analyzed and a kinetic model including all these factors was developed.
AtıfOpenAlex1İncele - Kitap BölümüYalnız künye2025Sentiment analysis of twitter data for US airlines' finance
Cam, Handan; Demirel, Ugur
The airline industry significantly promotes cultural, social, and financial globalization by facilitating connections between nations and individuals. Airline finance encompasses the intricate aspects of managing the economic, operational, and strategic elements of airline corporations on a global scale. In this industry, it is necessary to address various factors, including revenue management, risk management, cost control, and market competition. The interaction of these factors in the global aviation sector influences the financial situation of airlines, requiring strategic planning, flexibility, and a complete understanding of market dynamics. Sentiment analysis in aviation finance uses text and data mining techniques to examine emotional elements derived from social networks, consumer feedback, and news. This facilitates understanding consumer preferences, new trends, investment opportunities, risks, and marketing strategies. Sentiment analysis also helps manage brand reputation by monitoring sentiments expressed by passengers and the general public, allowing proactive measures to maintain a positive reputation. Airline companies rely on conventional customer feedback forms, which can be extremely laborious and timeconsuming. Twitter data is valuable for collecting consumer feedback tweets and conducting sentiment analysis. In this paper, we work on a dataset comprising tweets from the top major US airlines and perform a sentiment analysis in airline finance that can be used more efficiently and effectively in decision-making processes. This would allow airlines to adopt a more knowledgeable, targeted, and competitive strategy by understanding and assessing emotional context.
- MakaleAçık Erişim2025Scopus SJRQ1Hydrodynamic optimization of full-scale aeration tanks using field measurements and computational fluid dynamics modeling
Yılmaz Çelik, Damla; Yılmaz, Naz; Şibil, Rahim; Aras, Egemen; Vaheddoost, Babak
Improving energy efficiency and operational performance in wastewater treatment plants largely relies on precise hydrodynamic analysis. In this context, field-based studies are essential for understanding system behavior under real operational conditions. This study was conducted at a full-scale wastewater treatment plant, where flow dynamics in the aeration tank were evaluated through extensive field measurements and computational fluid dynamics modeling. Data were collected from 98 locations across 15 different depth levels using an Acoustic Doppler Current Profiler and a Hach FH950 velocity meter. The numerical model was initially validated with the help of experimental field data, enabling an accurate assessment of flow characteristics at varying depths. Results revealed that the low-velocity zones and non-uniform velocity distributions negatively affect system performance. It is also concluded that the inlet and outlet positions disturb the favorable circulation patterns and flow uniformity. Geometric optimization strategies were implemented to develop solutions, which led to a more uniform velocity distribution and improved hydraulic efficiency. By integrating detailed field measurements with numerical modeling, this study provides a comprehensive understanding of aeration tank hydrodynamics and offers practical design recommendations for improving overall system performance.
AtıfScopus6WoS6OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ3Assessment of Seismic Responses of Square-Hollow-Section Joints in a Lattice Girder with Soil-Structure Interaction
Ozturk, Kasif Furkan; Ozyurt, Emre; Araz, Onur; Cakir, Tufan
The fixed base approach is widely used to obtain the seismic behaviour of Square Hollow Section (SHS) joints in a lattice girder. However, in some cases where soil-structure interaction (SSI) can be relatively significant, this approach may result in incorrect acquisition of the natural periods and dynamic responses of the lattice girders using welded tubular joints. This situation may negatively affect the safety of the structure by causing an underestimation of the dynamic loads acting on the structure. Therefore, this study evaluates the seismic behaviour of SHS joints in a typical lattice girder exposed to different ground motions considering SSI. A nonlinear finite element analysis software, Abaqus, performs the dynamic analyses considering six earthquake excitations with three different frequency contents (a ratio of peak ground acceleration (PGA) to peak ground velocity (PGV)) and four different soil types. After verifying the numerical model, it is determined that 3D solid elements should be used to capture the actual seismic behaviour of the tubular joints in a steel truss frame with or without SSI. A comprehensive parametric study is then carried out to evaluate the peak displacement and stress values on the SHS joints with and without SSI under different ground motions with different PGA/PGV ratios. The findings show that the stresses are concentrated around the column and bottom chord connection region. Besides, the SSI mechanism significantly affects the peak stress and displacement values of the SHS joints, especially in soft soil types. Furthermore, it is observed that the PGA/PGV ratio significantly changes the seismic responses of the steel truss frame.
AtıfScopus7WoS7OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ2Disaster Management Experiences and Psychosocial Problems of Individuals Who Survived the Earthquake in Turkey in the Earthquake of the Century: A Phenomenological Study
Ulutaşdemir, Nilgün; Uzun, Sevda; Kulakaç, Nurşen
Aim: The aim of this study is to examine the disaster management experiences and psychosocial problems of individuals who survived the earthquake in Turkey during the earthquake of the century. Materials and Methods: A qualitative research design, phenomenological research, was applied in this study. This qualitative study included 33 volunteer earthquake survivors. The interviews were conducted using WhatsApp. Colaizzi's phenomenological analysis method was used to analyze the data. Results: In the analysis of the data, five themes (perception of the earthquake concept, things to do during an earthquake, actions taken to survive under the rubble, meeting everyday chores and dealing with post-earthquake challenges, perceptions of disaster management), and fifteensubthemes (features of the earthquake, emotions, thoughts, correct actions, incorrect actions, actions for the body, situation-oriented actions, housing, nutrition, hygiene, sleep, security, preparation, coping, and intervention) were identified. Conclusion: The study showed that the earthquake negatively affected individuals psychosocially, but the effective spiritual coping mechanisms utilized to cope with the catastrophic event under the rubble supported the survival process. In addition, it was determined that the participants believed that religion and spirituality were important in coping with the earthquake.
AtıfScopus4WoS4OpenAlex4İncele - BildiriYalnız künye2025Scopus SJRQ4A Novel BPA Derivation Method Using Linguistic Fuzzy Sets in Dempster-Shafer Theory
Başkan, Elif; Şahin, Rıdvan; Kahraman, C.; Oztaysi, B.; Cebi, S.; Cevik Onar, S.; Tolga, C.; Ucal Sari, I.; Otay, I.
In this study, we present a new method for developing Basic Probability Assignment (BPA) using Linguistic Fuzzy Sets (LFS). Dempster-Shafer Theory (DST) is used to efficiently combine different data sources. The use of LFS provides a robust structure for managing uncertainty in decision making by representing knowledge in linguistic terms. However, effectively integrating multiple uncertain sources requires a strong probabilistic approach. To overcome this challenge, we propose a method to derive BPA values directly from linguistic terms, ensuring compatibility with the DST fusion rule. We then use the Dempster-Shafer combination rule to combine information from various sources, thereby improving the reliability of the decision-making process.
- MakaleAçık Erişim2025The Impact of Militarisation on Environmental Degradation in the E7 Countries: Panel CS-ARDL Approach
Yildiz, Gizem Akbulut; Yildiz, Barış; Al, İbrahim; Kanca, Osman Cenk
This paper, within the framework of the Environmental Kuznets Curve (EKC), investigates the impact of militarisation on environmental degradation, including the role of renewable energy. Military expenditure and burden are used as proxies for militarisation, and models are estimated to quantify their relationship with carbon dioxide (CO2 ) emissions. The study utilizes the CS-ARDL approach to analyse data from Brazil, China, India, Indonesia, Mexico, Russia, and Turkey collectively known as the E7 nations from 1992 to 2022. The method employs both fixed-effect and random-effect models, taking into account short-run and long-run coefficients while accounting for cross-sectional dependencies and heterogeneities. The study puts forward four hypotheses for investigation, and a notable finding is that military expenditure, contradicting prevalent sustainability assumptions, has a substantial impact on the reduction of CO2 emissions over both short and long-run periods. This suggests that within the E7 context, militarisation may paradoxically function as a catalyst for environmental conservation rather than a detrimental impact. The findings further corroborate the inverted U-shaped EKC hypothesis by demonstrating that while economic growth initially increases emission levels, these levels begin to decline once a certain income threshold is reached. The study also underscores the long-run benefits of renewable energy in reducing CO2 emissions and advocates for investment in green energy projects, complemented by implementing viable environmental policies. These insights offer actionable guidance for policymakers seeking to harmonize economic development with environmental protection and sustainability objectives.
- MakaleAçık Erişim2025Scopus SJRQ3Evaluation of antibacterial, antioxidant activities and secondary metabolites profile of orchids with different dried methods
Ozkan, Ahmet Ismail; Canbolat-Gültekin, Deniz; Soruklu, Sudenaz; Işik, Uğur; Akmeşe, Osman
The Central Black Sea region is a very dense region in terms of orchid diversity. As a consequence of the floral studies, 32 species of salep orchids were identified in the Central Black Sea Region. The aim of this current study was to identify the secondary metabolite profiles of leaves and tubers of two orchid species (Anacamptis palustris and Ophrys apifera) with different drying methods by HPLC analysis and to determine their antibacterial and antioxidant activities. For this purpose, different drying methods were applied to the roots and leaves of these two species. The species were dried by 3 different techniques: shade, lyophilizer and oven. After the aqueous extracts were obtained, their antibacterial and antioxidant activities were tested and HPLC analysis was completed. The data obtained from aqueous extracts as a result of drying techniques were compared with the data obtained from fresh plant aqueous extracts. Antibacterial properties were tested against Staphylococcus aureus ATCC 25923, Escherichia coli ATCC 25922 and Pseudomonas aeruginosa ATCC 27853 bacteria. No antibacterial activity was found in the study. Antioxidant properties were tested via DPPH and FRAP assays. As a result of DPPH free radical scavenging assay, the highest antioxidant efficiency in A. palustris was observed in leaves dried in lyophilizer (76.53%), in the shade (62.13%) and in the oven (54.12%), respectively. Nine different phenolic compounds were found in aqueous extracts of these species. Epicatechin, Gallic Acid, Rutin, Syringic Acid phenolic compounds were observed the most in HPLC analysis. The results of current study suggest that these extracts have antioxidant and phenolic contents and should be investigated in more comprehensive studies.
AtıfScopus2WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Energy-Efficient 8-PAM Optical DAC Design for Visible Light Communication Systems
Başer, Oğuzhan; Küçük, Mehmet Ali; Albayrak, Cenk; Türk, Kadir
This paper presents a cost-effective and energy-efficient optical digital-to-analog converter (ODAC) transmitter scheme for visible light communication (VLC) systems. The proposed ODAC transmitter enables data transmission while providing lighting, as desired in VLC systems, unlike existing ODAC structures in the literature, by switching power LEDs at high speeds with a MOSFET-based switching circuit design. This paper also discusses the ODAC design stages and presents the points to be considered in detail. In addition, by implementing the hardware design of an ODAC transmitter with a 3-bit resolution, that is, capable of generating 8-PAM signals, based on the proposed ODAC architecture, experimental studies are conducted for energy efficiency and communication performance results via the established VLC system using the designed ODAC. Experimental results demonstrate that the proposed ODAC transmitter achieves a data transmission rate of 18.75 Mbps with a bit error rate (BER) below the forward error correction (FEC) limit at a communication distance of 4 m, while also exhibiting a high power efficiency of 94%.
- Kitap BölümüYayıncıda açık erişim2025Challenges of adopting artificial technology in human resource management practices
Şimşek, Tuğçe; Şimşek, Ahmet Bahadir
In this study, the challenges faced by organisations in integrating artificial intelligence (AI) into human resource management (HRM) practises are examined. For that, AI can bring significant benefits, includ¬ing increasing efficiency and decision-making in the HR processes, namely recruitment, performance evaluation and talent development. Its adoption, however, presents many challenges in technological infrastructure, data privacy, ethical, and organizational culture. This chapter investigates these barriers, particularly the importance of proper management changes and the trade-off between human element and AI's capabilities. The article discusses strategies for overcoming these challenges, the importance of practising ethical AI, data security and employee development. This study offers actionable insights for organisations attempting to leverage AI in HRM in a way that can succeed at both the operational and ethical dimensions.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Development of analytical methods and method validation for the qualitative and quantitative determination of Carboxymethyl Cellulose (CMC) in yogurt and ayran
Ergüney, Gülşen; Gündoğdu, Engin; Baltaci, Cemalettin
This study presents the development and validation of analytical methods for the qualitative and quantitative determination of Carboxymethyl Cellulose (CMC) in yogurt and ayran. The methods were evaluated for their detection limit (LOD), quantification limit (LOQ), and method detection limit (MDL) across multiple samples, demonstrating robust sensitivity with MDL and LOD values of 0.03% for both yogurt and ayran. Recovery studies showed high accuracy, with recovery rates between 98% and 100%, and consistent recovery within the acceptable range of 97–103%, reinforcing the methods' reliability. The quantitative analysis exhibited strong repeatability and reproducibility, with low relative standard deviations (RSDr and RSDR), confirming minimal intra-day and inter-day variability. The calibration curves for CMC analysis demonstrated excellent linearity with high coefficients of determination (R2 = 0.9985 for yogurt and 0.9951 for ayran), ensuring accurate quantification over a wide concentration range. Measurement uncertainty analysis further validated the methods' precision and accuracy, showing low relative uncertainties for trueness, repeatability, and reproducibility. Robustness evaluations indicated that the methods maintained consistent recovery rates despite variations in pH, heating time, and sample quantity, highlighting their reliability under different conditions. For qualitative analysis, the visual images method showed exceptional performance with perfect sensitivity and specificity, accurately identifying all positive and negative samples without any false positives or negatives. This high level of accuracy makes the visual images method a valuable tool for ensuring product safety and compliance with quality standards in the dairy industry. Overall, the validated analytical methods for CMC detection in yogurt and ayran demonstrated high precision, accuracy, and reliability, making them essential for quality control and regulatory compliance in dairy production.
AtıfScopus5WoS5OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ4Evaluation of the Psychometric Properties of the Turkish Form of the Will-to-Live Scale in Older Adults
Kütük, B.
Abstract: The Will-to-Live (WTL) scale measures desire for life and life commitment across populations. However, psychometric evidence for a Turkish older adult WTL screening model is lacking. In this study, the WTL was first translated into Turkish using established procedures, followed by the collection of psychometric information on the Turkish form (WTL-T). Included in the study were community-dwelling older adults (aged 65–85 years) who could be considered representative of the older adult Turkish population, who were asked to complete the WTL scale, the Satisfaction with Life Scale, the Philadelphia Geriatric Center Morale Scale, the Geriatric Depression Scale, the Brief Resilient Coping Scale, as well as a single-item WTL and self-rated health. The exploratory and confirmatory factor analyses demonstrated an acceptable model fit of the WTL-T, yielding a single-factor model that explained 66.45% of the variance. Furthermore, the WTL-T was found to have high internal consistency (Cronbach α = 0.865) and convergent validity was demonstrated by the strong positive correlations identified through the single-item WTL question (r = 0.810, p < 0.001). The moderate to high correlations of the scale with theoretically related measures supported its concurrent validity (r = –0.299 to 0.742, all p’s < 0.01). The evidence presented in the present study identifies the WTL-T as a concise, appropriate and psychometrically sound instrument for the assessment of WTL in older adults living in Turkey.