Yayınlar
Koleksiyondaki öğeler
- MakaleAçık Erişim2022Scopus SJRQ4Transmission of Cholera Disease with Laplacian and Triangular Parameters
Merdan, Mehmet; Bekiryazici, Zafer; Kesemen, Tulay; Khaniyev, Tahir
A mathematical model has been introduced for the transmission dynamics of cholera disease by GQ Sun et al. recently. In this study, we add Laplacian and Triangular random effects to this model and analyze the variation of results for both cases. The expectations and co-efficients of variation are compared for the random models and the results are used to comment on the differences and similarities between the effects of these probability distributions. The randomness of the model itself is also investigated through comparison of the random and deterministic outcomes.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2023Scopus SJRQ43D data integration for geo-located cave mapping based on unmanned aerial vehicle and terrestrial laser scanner data
Çömert, Resul; Özdemir, Samed; Bilgilioglu, Burhan Baha; Alemdag, Selçuk; Zeybek, Halil Ibrahim
The Akçakale cave is a significant natural and cultural heritage site in the Black Sea region of eastern Turkey. The complex geometry and difficult-to-access areas of the cave have made the use of traditional mapping methods challenging. To overcome these limitations, this study utilized TLS and UAV technology to produce highly accurate 2D and 3D data for cave management and risk assessment purposes. The TLS system was used to create a detailed 3D point cloud of the cave interior, while the UAV system generated a 3D model of the surface topography outside the cave. The two sets of data were combined in the GIS environment using a geodetic network established in the study area, providing a common geodetic reference system for both TLS and UAV data. The study found that the cave area is 13,750 m2, which is smaller than the area of 18,000 m2 that was previously estimated using conventional measurement methods. The volume and ceiling heights of the cave were calculated using the elevation models generated from TLS point cloud data. The 3D point cloud data were also used to map dripstone locations on the floor and ceiling of the cave, and the boundaries of rock blocks on the ground were precisely determined. The study identified potential risks associated with the cave, particularly the risk of rockfall in the source rock areas around the cave entrance and the southern part of the cave. The nearest building to the cave is approximately 35 meters away, and all the buildings in the area are less than 300 meters from the cave. In the event of the cave collapse, the buildings in the southern part of the cave are at risk of rockfall. This study demonstrates the effectiveness of combining data from TLS and UAV systems to generate broad and sensitive cave mapping and risk assessment data, which are critical for cave management and safety. The collected data can be used for cave stability investigations and rockfall risk assessments. This study provides a foundation for future explorations of the Akcakale cave and highlights the potential for modern surveying techniques to enhance our understanding of complex geological structures such as caves.
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2023Detection of COVID-19 infection from CT images using the medical photogrammetry technique
Çatal Reis, Hatice; Türk, Veysel; Kaya, Serhat
Medical data such as computed tomography (CT), magnetic resonance imaging (MRI), and Ultrasound images are used in medical photogrammetry. CT images have been used frequently in recent years for the diagnosis of COVID-19 disease, which has contagious and fatal symptoms. CT is an effective method for early detection of lung anomalies due to COVID-19 infection. Machine learning (ML) techniques can be used to detect and diagnose medical diseases. In particular, classification methods are applied for disease diagnosis and diagnosis. This study proposes traditional machine learning algorithms Random Forest, Logistic Regression, K-Nearest Neighbor and Naive Bayes, and an ensemble learning model to detect COVID-19 anomalies using CT images. According to the experimental findings, the proposed ensemble learning model produced an accuracy of 96.71%. This study can help identify the fastest and most accurate algorithm that predicts CT images with Covid-19 during the epidemic process. In addition, machine learning-based approaches can support healthcare professionals and radiologists in the diagnostic phase.
- MakaleAçık Erişim2022Scopus SJRQ2The Dual Expression of Parallel Equidistant Ruled Surfaces in Euclidean 3-Space
Gür Mazlum, Sümeyye; Şenyurt, Süleyman; Grilli, Luca
In this study, we examine the dual expression of Valeontis’ concept of parallel p-equidistant ruled surfaces well known in Euclidean 3-space, according to the Study mapping. Furthermore, we show that the dual part of the dual angle on the unit dual sphere corresponds to the p-distance. We call these ruled surfaces we obtained “dual parallel equidistant ruled surfaces” and we briefly denote them with “DPERS”. Furthermore, we find the Blaschke vectors, the Blaschke invariants and the striction curves of these DPERS and we give the relationships between these elements. Moreover, we show the relationships between the Darboux screws, the instantaneous screw axes, the instantaneous dual Pfaff vectors and dual Steiner rotation vectors of these surfaces. Finally, we give an example, which we reinforce this article, and we explain all of these features with the figures on the example. Furthermore, we see that the corresponding dual curves on the dual unit sphere to these DPERS are such that one of them is symmetric with respect to the imaginary symmetry axis of the other.
AtıfScopus31WoS30OpenAlex30İncele - MakaleAçık Erişim2023Scopus SJRQ2The effects of environmental value and ecological worldview on eco-recreative attitude: an application in Turkey; [O efeito do valor ambiental e visão de mundo ecológica na atitude eco-recreativa: um estudo na Turquia]
Kement, Üzeyir; Çavuşoğlu, Sinan; Çalık, Ismail; Durmaz, Yakup
This study aims to investigate the effects of environmental value and ecological worldview on eco-recreative attitudes. In recent years, human-related pollution has seriously increased. Therefore, it is critical to explain the eco-recreative attitudes of participants with an emphasis on how these attitudes support natural life. Another indicator of the significance of this study is that it explains the premises of the attitude. Environmental value in the proposed model was examined as three sub-factors: biospheric, altruistic, and egoistic. Also, an eco-recreative attitude has three sub-factors, which are affective, cognitive and behavioural. The study population consisted of individuals who participated in eco-recreation activities in Turkey. The data were collected through a questionnaire form using the convenience sampling method. The analyses were conducted using SmartPLS. The findings showed that biospheric (positive) and egoistic value (negative) had an effect on ecological worldview, while ecological worldview had a positive effect on affective, cognitive and behavioural attitude. Also, the altruistic value did not significantly affect the ecological worldview.
AtıfScopus17WoS15OpenAlex12İncele - MakaleAçık Erişim2024Scopus SJRQ2Operating room and surgical team members scheduling: A comprehensive review
Aktaş, Esra; Atmaca, Hatice Ediz; Akbulut, Hatice Erdoğan
Operating rooms (OR) are one of the most expensive parts of a hospital with complex processes, and the efficient use of resources is of utmost importance. Therefore, proper management and operation of operating rooms are extremely crucial. OR scheduling ensures that the surgeries are performed at the proper time, patients are treated effectively and safely, resources are used effectively, and staff is increased in work efficiency. Furthermore, accurately scheduled surgeries are safer for patients' healing processes. This is dependent on factors such as the availability of qualified personnel at the appropriate time, the readiness of surgical equipment, and the pro-vision of proper sterilization and hygienic conditions. Surgical team scheduling ensures that surgeries begin on time, are completed effectively, and patients are treated safely. It is also critical to reduce employee fatigue and balance the workload. As a result, integrating surgical teams into operating room scheduling problems provides significant benefits. Accordingly, 29 research articles focusing on the problem of OR scheduling, within the scope of constraints on surgical team members, scheduling strategies, uncertainties, and solution methods, are thoroughly re-viewed in this study.
AtıfScopus7WoS6OpenAlex8İncele - MakaleAçık Erişim2023Scopus SJRQ3The Distinguishing Factor in Soccer Players is Aerobic Performance, not the ACTN3 Gene; [El Factor Distintivo en los Jugadores de Fútbol es el Rendimiento Aeróbico y no el gen ACTN3]
Zileli, Raif; Söyler, Mehmet; Diker, Gürkan; Özkamçı, Hüseyin; Bayrakdaroglu, Serdar; Sever, Mehmet Onur; Can, Ibrahim; Ön, Sadi; Aslan, Beste Tacal; Ulucan, Korkut
SUMMARY: The purpose of this study was to reveal the differences between ACTN3 genotype (RR, RX, XX) and aerobic performance [Yo-Yo IRT1 (m), VO2 max (ml/kg/min)] in professional and regional amateur league soccer players and to reveal which of these parameters was a distinctive factor in these athletes.71 professional soccer players (age: 23.66 ±4.11 years; body height: 1.79 ± 6.99 m; body weight: 76.02 ± 6.76 kg; body fat: 11.59±3.11 %) and 62 regional amateur soccer players (age: 23.63 ±3.77 years; body height: 1.81 ± 5.77 m; body weight: 76.36 ± 7.53 kg; body fat: 15.60±4.65 %) volunteered for the study. After DNA extraction from buccal epithelial cells via a commercial kit was performed for the genetic background of the athletes, Real-Time PCR was carried out for genotyping. Furthermore, Yo-Yo IRT1 test was performed to determine the aerobic performance of the soccer players. SPSS 23 (SPSS Inc., Chicago, IL, USA) package program was used for the statistical analysis of the data obtained in the tests. Shapiro-Wilk test for normality and Levene's test for homogeneity of variance were performed. Chi-Square, Independent Sample T Test and One Way ANOVA test were used in the analysis of the parameters. Statistical significance was set as p<0.05. In the study, there found no meaningful statistical significance in terms of the rs1815739 polymorphism in the ACTN3 gene between the groups (p>0.05); however, there was a statistical significance in favor of professional soccer players in terms of aerobic parameters (p<0.05). Consequently, it can be said that aerobic performance is the distinguishing factor, not the ACTN3 gene, in soccer players.
AtıfScopus3OpenAlex2İncele - BildiriYalnız künye2023Pedestrian Inertial Navigation with Multi-Head CNN
Cetin, Gokhan; Kucuk, Mehmet Ali; Koroglu, Muhammed Taha
Traditional pedestrian dead-reckoning (DR) methods utilizing inertial measurement units (IMU) have been successfully employed in GPS-denied environments over the past two decades. However, despite continuous advancements in wearable IMU technology, the long-term solution still suffers from the issue of drift. In light of this, Deep Learning (DL) has emerged as a potential candidate for inertial navigation solutions, leveraging its powerful non-linear regression capabilities. Recent research has demonstrated that DL models trained on public datasets can effectively serve as end-to-end solutions. Most studies focus on smartphones, where the IMU is typically situated at the torso, and generally work with transformed data represented in the navigation coordinate frame to estimate pedestrian velocity and heading change at rates lower than the IMU sampling rate. In contrast, this study uses raw foot-mounted IMU data as input to a multi-headed structure consisting of independent convolutional neural networks (CNNs) and targets displacement directly and heading change. The proposed model is trained on a publicly available foot-mounted IMU dataset where pseudo ground-truth (GT) data is generated heuristically to provide supervision for the learning process. The results indicate that the Multi-Head CNN (MHCNN) model is capable of producing pedestrian trajectories at the IMU sampling rate, with positioning errors of less than 2m throughout the duration of the walks. The code for the trained network can be accessed in the associated repository, i.e., github.com/mtkoroglu/PIN-MHCNN.
AtıfScopus1İncele - MakaleAçık Erişim2023Scopus SJRQ2Engineering Properties of Cemented Paste Backfill with Full-Range Water-Reducing Admixture
Cavusoglu, Ibrahim; Fall, Mamadou
This paper presents the effects of a full-range water-reducing (FRWR) admixture on the key engineering properties of cemented paste backfill (CPB). CPB samples with a certain slump are prepared with 4.5% cement by mass of the tailings and different dosages of an FRWR admixture (superplasticizer contents of 1%, 3%, and 5%) to evaluate their water demand during hydration, rheological properties, self-desiccation ability, and microstructural and mechanical properties. Moreover, cement paste samples with a high water-to-cement ratio (w/c = 2) which are used to model the cement matrix of the CPB are prepared for x-ray diffraction (XRD) scanning and thermal analyses (TAns). The results show that the addition of an FRWR admixture to the studied CPB can reduce its water demand by up to 23% and significantly increase its strength from 1.0 MPa to 2.38 MPa (by approximately 2.4 times) at 28 days. The pore volume of the CPB samples is also significantly reduced from 27.17 to 18.27% due to the capability of the FRWR admixture to reduce water demand. Also, the addition of an FRWR admixture to the CPB results in a substantial decrease (up to 83%) of its yield stress, thereby improving its flowability. The CPB samples with an FRWR admixture are found to have a higher negative pore water pressure, i.e., higher self-desiccation, than the CPB sample without an FRWR admixture. The microstructural analysis also shows that the FRWR admixture has an increasing effect on the hydration products in the CPB mixture.
AtıfScopus12WoS11OpenAlex13İncele - MakaleAçık Erişim2023Scopus SJRQ2A study on the magnetite skarn mineralization (Gümüşhane, Türkiye): a magnetic survey
Sipahi, Ferkan; Sadiklar, M. Burhan; Gücer, Mehmet Ali; Aydin, Ali; Kara, Rasim Taylan
Iron (Fe)-skarn mineralizations (Çambaşı, Dereli, Eğrikar, Karadağ, Kopuz, Sekü, Donguldere, Arnastal, Özdil, Ögene, İkizdere, Ovit Dağı, Kartiba, etc.) in the eastern part of the Pontides (NE Türkiye) are accommodated in the Pontide paleomagmatic arc and the eastern part of the Pontides Metallogenic Belt containing numerous various deposits. Fe-skarn mineralization around the Arnastal Plateau (Gümüşhane-Türkiye) is fragmentary in this area, which is covered with plants (grasses, flowers, etc.). Thus, it was attempted to describe the subsurface structures and Fe mineralization using an interpretation of the available geological and existing magnetic data in this area. Granitoid and volcano-sedimentary series (Upper Cretaceous) outcrop in the study area. These volcanosedimentary series consist of limestone, sandy limestone, marl, andesite, quartz andesite, basalt, and their equivalent pyroclastics. They include a thin layer of the red limestone (Upper Cretaceous) and olistolith recrystallized limestones (Jurassic-Lower Cretaceous). Zigana granitoid, intruding into all of these rocks, is high-K calc-alkaline and metaluminous and is classified as quartz monzonite, monzogranite, granite, and syenogranite as a result of its modal composition. Contact pyrometasomatic mineralization occurs in between the limestone and granitoids in the Arnastal Plateau. In addition to petrographic and mineralogical studies, magnetic methods were applied to an area of approximately 10 km2 to find any covered Fe deposits. Magnetic susceptibility values measured on the outcropped rocks ranged from 1 to 34 (10–7 SI) for limestone, 78 to 3750 (10–7 SI) for basalt, and 105 to 3946 (10–7 SI) for granitoids. It is considered that these ranges express the alteration (physical or chemical) of the rocks, their homogeneity, and the lack or presence of Fe minerals. The magnetic survey was conducted along a study area measuring 12,075 m long with 25 and/or 50 m station spacing. Processing of the magnetic data revealed the presence of eight buried Fe ores that could represent either massive or disseminated mineralization between the Sarıtaş and Kurtdere plateaus. Magnetite ore bodies may be present from the surface to a depth of approximately 15–25 m inside the limestone. In addition to the identification of new magnetite ore mineralization or bodies, a new geological map was designed by determining probable formation boundaries with this magnetic survey.
AtıfScopus3WoS2OpenAlex3TR Dizin1
İncele - MakaleAçık Erişim2024Scopus SJRQ3Analysis of Random Difference Equations Using the Differential Transformation Method
Şişman, Şeyma; Merdan, Mehmet
The differential transformation method (DTM) is one of the best methods easily applied to linear and nonlinear difference equations with random coefficients. In this study, we apply the theorems related to the DTM to the given examples and investigate the behaviour of the approximate analytical solutions. The expected value, variance, coefficient of variation, and confidence intervals of the solutions of random difference equations obtained from discrete probability distributions such as uniform, geometric, Poisson, and binomial distributions will be calculated. Maple and MATLAB software packages are used to plot the solution graphs and also to interpret the solution behaviour.
- MakaleYayıncıda açık erişim2023Scopus SJRQ4The E-Learning Attitude of Talented Pre-service Teachers in the Online Learning Model Following the Kahramanmaraş and Hatay Earthquakes
Türker, Üstün; Somoǧlu, Mustafa Bariş; Tezcan, Efecan; Koç, Mine
This study, which aims to determine the e-learning attitudes of talented teacher candidates following the earthquakes in Kahramanmaraş and Hatay and to compare them according to some variables, was designed with a cross-sectional-survey model, one of the quantitative research methods. The research sample was comprised of 826 pre-service teachers from the fields of Physical Education and Sports, Music Education, and Visual Arts during the spring semester of 2022-2023. Data for the study were collected using the Test of E-Learning Related Attitudes Scale, with data collection conducted through Google Forms. Data analysis was used to SPSS program. In terms of the academic department variable, it was concluded that pre-service teachers specializing in Physical Education and Sports, Music Education, and Visual Arts demonstrated similar levels of E-learning attitudes, and no statistically significant differences were observed among them (p<0.05). Furthermore, in the context of education and instructional activities being carried out through online learning methods, it was determined that the choice of and utilization of computers and mobile devices as learning tools resulted in similar overall E-learning attitudes (p<0.05). Nevertheless, those who favored mobile devices demonstrated a statistically higher level of inclination toward technology use and perceived usefulness, while those who used computers reported statistically higher levels of satisfaction and motivation in their E-learning attitudes (p<0.05). According to the research results, it was observed that the E-learning attitudes of pre-service teachers following the Kahramanmaraş and Hatay earthquakes were at a moderate level, with satisfaction in online learning registering as the least favorable aspect of E-learning attitude.
- MakaleYalnız künye2024Scopus SJRQ3Assessment of Anticholinergic and Antidiabetic Properties of Some Natural and Synthetic Molecules: An In Vitro and In Silico Approach
Çomaklı, Veysel; Aygül, İmdat; Sağlamtaş, Rüya; Kuzu, Müslüm; Demirdağ, Ramazan; Akincioğlu, Hülya; Adem, Şevki; Gülçin, İlhami
Introduction: This study aimed to determine the in vitro and in silico effects of some natural and synthetic molecules on acetylcholinesterase (AChE), butyrylcholinesterase (BChE) and α-glucosidase enzymes. Background: Alzheimer's disease (AD) and Type II diabetes mellitus (T2DM) are considered the most important diseases of today’s world. However, the side effects of therapeutic agents used in both diseases limit their use. Therefore, developing drugs with high therapeutic efficacy and better pharmacological profile is important. Objectives: This study sets out to determine the related enzyme inhibitors used in treating AD and T2DM, considered amongst the most important diseases of today’s world. Methods: In the current study, the in vitro and in silico effects of dienestrol, hesperetin, L-thyroxine, 3,3',5-Triiodo-L-thyronine (T3) and dobutamine molecules on AChE, BChE and α-glycosidase enzyme activities were investigated. Results: All the molecules showed an inhibitory effect on the enzymes. The IC50 and Ki values of the L-Thyroxine molecule, which showed the strongest inhibition effect for the AChE enzyme, were determined as 1.71 µM and 0.83 ± 0.195 µM, respectively. In addition, dienestrol, T3, and dobutamine molecules showed a more substantial inhibition effect than tacrine. The dobutamine molecule showed the most substantial inhibition effect for the BChE enzyme, and IC50 and Ki values were determined as 1.83 µM and 0.845 ± 0.143 µM, respectively. The IC50 and Ki values for the hesperetin molecule, which showed the strongest inhibition for the α-glycosidase enzyme, were determined as 13.57 µM and 12.33 ± 2.57 µM, respectively. Conclusion: According to the results obtained, the molecules used in the study may be considered potential inhibitor candidates for AChE, BChE and α-glycosidase.
AtıfScopus8WoS7OpenAlex8
İncele - MakaleYalnız künye2024Scopus SJRQ1Comparison of histogram-curve fitting-based and global threshold methods for cloud detection
Günen, M. Akif
The goal of this research is fit the best curve to the image histogram using polynomial (i.e., linear, quadratic, cubic, and quartic), Fourier and Gaussian with two different term numbers, and Bezier functions, and then compare their performance with nine automatic state-of-the-art thresholding methods: Shanbhag, Triangle, Huang, Intermode, IsoData, Li's, Maximum entropy, Moment, and Otsu. The visible bands of the Landsat-9, Landsat-8, and Sentinel 2 satellite images are averaged to create an index map, which was used to perform the cloud detection. Since many satellites system only has visible bands, the average index map was used. Three different images which include various cloud types were clipped from each satellite imaging. Thresholding methods were evaluated using statistical tools such as structural similarity index measure (SSIM), peak signal-to-noise ratio (PSNR), and universal image quality index (UIQI), accuracy, Cohen's kappa, precision, recall, F-Measure, and G-Mean. The histogram-based approaches that performed the best after Li's method were Bezier (96.71% accuracy and 99.83% SSIM), 2nd Gaussian (97.62% precision), Quartic (80.56% kappa, 16.16% PSNR, 82.45% F-Measure, and 89.52%), and 2nd Fourier (81.08% recall and 89.27% G-Mean), according to the average statistics of all images. Additionally, methods other than Shanbhag yielded favorable results (more than 90% accuracy).
AtıfScopus19WoS16OpenAlex19İncele - MakaleAçık Erişim2023Scopus SJRQ4The Effect of Role Uncertainty of Students in University Team Sports on Team Combination
Somoğlu, Mustafa Barış; Tezcan, Efecan; Albayrak, Ahmet Yılmaz; Türkmen, Muhammet Uhud
The primary objective of this research is to assess the level of team cohesiveness and role ambiguity among students who participate in university team sports, and examine them based on pre-determined variables. The selection of participants was conducted through a convenient sampling approach. The study employed the cross-sectional scanning method and comprised a sample of 238 participants, consisting of 88 females (37%) and 150 males (63%), who are engaged in team sports at Gümüşhane University during the 2022-2023 academic year. A Personal Information Form, Team Cohesion Scale and Role Ambiguity Scale were utilised to gather data in this study. Data was then analysed using T-tests, ANAVO and correlation tests. Analysis results indicate that university students who participate in team sports demonstrate above average team unity, whilst exhibiting below average role ambiguity. Men were found to have better scores in the team unity and group attractiveness task dimensions, based on gender. In contrast, students studying in departments other than physical education and sports schools reported higher role ambiguity. It has been noted that university students who have played on the same sports team for 1-5 years encounter greater role ambiguity compared to those who have had longer experience. Playing different sports and the number of years spent playing sports did not impact participants' team unity or role ambiguity. An additional noteworthy finding is the negative significant connection between role ambiguity and team commitment. Copyright q 2023, SEPM (Society for Sedimentary Geology) 0883-1351/23/038-353.
AtıfOpenAlex1İncele - MakaleYalnız künye2024Scopus SJRQ2The Impact of Video-Based Simulation Training on Perioperative Process in Nursing Students: A Randomized Controlled Study
Kulakaç, Nurşen; Koçan, Sema; Aktuğ, Cemile
This study was conducted to explore the effect of video-based simulation training on postoperative patient care, clinical decision-making, and the competency levels of nursing students. The study was conducted as a randomized controlled trial. The sample of the study consisted of students (n=87) attending the nursing department of the health sciences faculty of a state university located in the Eastern Black Sea Region of Turkey. The data were collected with the “Student Information Form”, the “Postoperative Patient Care Knowledge Test”, the “Clinical Decision-Making in Nursing Scale (CDMNS)”, and the “Competency Inventory of Nursing Students (CINS)”. The postoperative patient care knowledge test scores of the experimental group students were statistically significantly higher than those of the control group (p<0.001). The CDMNS scores of the experimental group students were statistically significantly higher than those of the control group (p=0.024). There was no statistically significant difference between the CINS scores of the experimental and control groups. The results showed that the use of video simulation contributed positively to students' postoperative patient care and clinical decision-making.
AtıfScopus6WoS6OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ1Chemical Content by LC–MS/MS, Antiglaucoma, and Antioxidant Activity of Propolis Samples From Different Regions of Türkiye
İzol, Ebubekir; Bursal, Ercan; Yapıcı, İsmail; Abdullah Yilmaz, Mustafa; Yilmaz, İsa; Gülçin, İlhami
Propolis is a sticky substance produced by bees because of the reaction of beeswax, pollen, and bee enzymes. Particularly, their biological activity and chemical content attract attention. Thus, in this study, the total amount of phenolic and flavonoid substances, Fe3+-Fe2+, Cu2+ (cupric ions reducing activity [CUPRAC]), and Fe3+-TPTZ (ferric ions reducing antioxidant power [FRAP]) reducing, and DPPH• and ABTS•+ scavenging assays in vitro antioxidant properties of propolis samples obtained from four different provinces of Türkiye were determined. In addition, the chemical content of propolis samples was quantitatively determined by LC–MS/MS, and the antiglaucoma property was revealed by hCAII enzyme inhibition. Propolis samples from Ordu presented the highest amounts of total phenolic and flavonoid content (492.3 ± 5.8 and 96.1 ± 2.1, respectively) and also highest antioxidant activity (DPPH• and ABTS•+ IC50 [μg/mL]: 8.884 ± 0.84 and 4.589 ± 0.80, respectively; Fe+3, CUPRAC, and FRAP: 1.051 ± 0.012, 1.021 ± 0.008, and 0.957 ± 0.007 μg/mL, respectively). hCAII enzyme inhibition was highest in Muş propolis (IC50 [μg/mL]: 8.6) as determined. By LC–MS/MS, 53 different components were screened and 35 bioactive components were determined. According to the results, propolis was found to be a raw material because it contains high concentrations of acacetin, chrysin, caffeic acid, and quinic acid (123.824, 24.759, 47.779, and 16.32 mg analyte/g extract, respectively).
AtıfScopus15WoS15OpenAlex17İncele - Kitap BölümüYalnız künye2024Behavioral economics and Monetary Wisdom across 32 cultures: Good apples enjoy a good quality of life in good barrels
Tang, Thomas Li-Ping; Sutarso, Toto; Ansari, Mahfooz A.; Lim, Vivien Kim Geok; Teo, Thompson Sian Hin; Arias-Galicia, Fernando; Garber, Ilya E.; Chiu, Randy Ki-Kwan; Charles-Pauvers, Brigitte; Luna-Arocas, Roberto
Monetary Wisdom asserts that individuals apply their deep-rooted values (ardent monetary aspirations) to frame critical concerns in the immediate-proximal and omnibus-distal contexts and strategically maximize expected utility (achieve financial goals) and ultimate serenity (happiness). This study explores the bright side of Monetary Wisdom and behavioral economics, frames money attitude in the context of pay and life satisfaction, and controls money at the micro and individual level (Z income within each country) and the macro and national and global level (GDP per capita). We theorize: Managers with low love of money motive but high stewardship behavior will have high subjective well-being: pay satisfaction and quality of life. Data collected from 6586 managers in 32 cultures across 6 continents support our theory. Interestingly, GDP per capita is related to life satisfaction, but not to pay satisfaction. Individual income is related to both life and pay satisfaction. Neither GDP nor income is related to the Happiness construct (money makes people happy). For the whole sample, low motives, high stewardship behaviors, and high cognitions identify the latent Monetary Wisdom (MW), which, in turn, leads to higher pay satisfaction than life satisfaction. Results of our formative model challenge the notion that motives and cognitions are consistent in predict outcomes. Our theoretical model across three GDP groups (high, medium, and low GDP levels) offers additional innovative discoveries: In high GDP (rich) entities, “high income” not only reduces aspirations—“Rich, Motivator, and Power,” but also promotes stewardship behavior—“Factors Budget, Give/Donate, and Contribute” and cognitive meaning, “Factor Achievement.” After controlling income, we demonstrate the bright side of Monetary Wisdom: Low love of money motive but high stewardship behavior define Monetary Wisdom, which contributes to higher life satisfaction than pay satisfaction. “Good apples enjoy a good quality of life in good barrels”. This notion adds another explanation to managers’ low magnitude of dishonesty in entities with high Corruption Perceptions Index (CPI) (risk aversion for gains in the high probability context). In medium GDP countries, high income is negatively related to Factors Motivator (motive), Budget (behavior), and Power (cognition). Managers enjoy higher life satisfaction than pay satisfaction. However, in low GDP (poor) entities, high income is related to poor Budgeting skills and escalated Happiness. Interestingly, income leads to the notion of high Happiness (cognition) for managers in low GDP countries only. Managers experience equal satisfaction with pay and life. Results of Monetary Wisdom add a new vocabulary to the conversation of monetary aspirations, intelligence, income, GDP, happiness, subjective well-being, good and bad apples, good and bad barrels, corruption, and behavioral ethics.
- MakaleYalnız künye2023Scopus SJRQ1Enhanced wear resistance and surface properties of oxide film coating on biocompatible Ti45Nb alloy by anodization method
Şenaslan, Fatih; Taşdemir, Muharrem; Çelik, Ayhan; Bozkurt, Yusuf Burak
β-Titanium alloys have become increasingly popular as biomaterials because of their low modulus of elasticity and superior corrosion properties in recent years. β-titanium alloy containing niobium is also a biocompatible and non-toxic material. Among β-Ti alloys, Ti45Nb is one of the most remarkable alloys for its superior properties as a biomaterial. This alloy has superior properties due to low elasticity modulus and non-toxic elements, but its surface properties are inadequate for biomaterial applications. Therefore, various surface treatments are applied to improve the surface properties of these alloys. In this study, an oxide film layer was formed on the Ti45Nb surface under different potential conditions by the anodizing method. The effects of these factors on friction, wear, and contact angle measurements were investigated. The structural properties of the oxide film coated samples were analyzed with XRD and their surfaces and cross-sectional images were observed by SEM. Also, the surface roughness and nanoindentation tests were performed. In this regard, it was determined that oxide film thickness, surface roughness and hardness increased with the increase of anodization potential. The contact angle of the samples decreased with the increase in the anodization potential and the surface tension of the materials increased. The highest nanohardness of about 4.19 GPa was obtained from 150 TA samples. The elasticity modulus of the untreated sample was about 63 GPa, while the anodized samples ranged from an average of 31 to 83 GPa. The wear results revealed that the anodization process improved the wear resistance of the Ti45Nb alloy. As a result, the sample anodized at 200 V for 30 min exhibited optimum surface roughness, morphology and high wear resistance.
AtıfScopus33WoS32OpenAlex32İncele - MakaleAçık Erişim2024Scopus SJRQ41D fuzzy inverse logic method and its use in the design of thick reinforced concrete columns
Ertekin, Özteki̇N
In this study, without using any uniaxial force and bending moment (N-M) interaction diagrams, designs were carried out on thick columns subjected to uniaxial bending and compression by a novel 1 dimensional (1D) Fuzzy Inverse Logic (FIL) method. For this purpose, firstly, a Fuzzy Logic (FL) model was developed and the FIL method was applied to it thereafter. While, the cross-section width (b), the cross-section height (h), the rebar diameter(f), the numbers of reinforcement rows (Rx and Ry) placed into the cross-section in X and Y directions, the characteristic concrete compressive strength(fck) and the axial force ratio Nr=N/ (b.h.(fck/1.5)) were taken as variable parameters, concrete cover thickness (c), rebar strength (fyd) and k1 parameter defined for the concrete pressure block were kept constant in the developed FL model. After designs were performed on 15 columns having different variable variations by the 1D FIL method, moment bearing capacities of the obtained 9737 alternative designs determined conventionally were compared with the desired moment values. The evaluations made on the comparisons show that the FIL method is not only a very effective artificial intelligence method for the design of reinforced concrete thick columns but also a promising method for many other problems such as control, optimization, design, etc.
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