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
- MakaleAçık Erişim2024Scopus SJRQ1Trends and amount changes of temperature and precipitation under future projections in high–low groups and intra-period for the Eastern Black Sea, the Wettest Basin in Türkiye
Nacar, Sinan; Şan, Murat; Kankal, Murat; Okkan, Umut
This study investigates the possible effects of climate change on temperature and precipitation variables in the Eastern Black Sea Basin, Türkiye’s wettest and flood-prone region. The outputs of three GCMs under historical, RCP4.5, and RCP8.5 scenarios were downscaled to regional scale using the multivariate adaptive regression splines method. The future monthly temperature and precipitation for 12 stations in the basin were projected for three periods: the 2030s (2021–2050), 2060s (2051–2080), and 2090s (2081–2100). In addition to relative changes, high and low groups and intra-period trends were analyzed for the first time using innovative methods. For the pessimistic scenario, an increase of 3.5 °C in the interior and 3.0 °C in the coastal areas of the basin is projected. For the optimistic scenario, these values are expected to be 2.5 and 2.0 °C, respectively. A decrease in precipitation is projected for the interior region, and a significant increase is expected for the eastern and coastal areas of the basin, especially in spring. This result indicates that floods will occur frequently coastal areas of the basin in the coming periods. Also, although the monotonic trends of temperatures during periods are higher than precipitation in interior regions, these regions may have more uncertainty as their trends are in different directions of low and high groups of different scenarios and GCMs and contribute to all trends, especially precipitation.
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İncele - MakaleAçık Erişim2024Scopus SJRQ2Characterization of biodegradable bi-layer films from thermoplastic starch and poly-l-lactic acid
Parlak, Mahmut Ekrem; Uzuner, Kubra; Ozdemir, Sebahat; Kirac Demirel, Fatma Tuba; Dundar, Ayse Neslihan; Sahin, Oya Irmak; Dagdelen, Adnan Fatih; Odabas, Halil Ibrahim; Saricaoglu, Furkan Turker
This study aimed to enhance the oxygen barrier properties of polylactic acid (PLA) film, a biodegradable packaging material with high oxygen permeability (OP). Bi-layer films were produced by coating thermoplastic starch (TPS) onto PLA films in various ratios while maintaining constant film thickness. The mechanical, optical, barrier, thermal, hydrophobicity, moisture sorption, and microstructural properties of the films were analyzed. Increasing the TPS ratio elevated moisture content (MC), water uptake, solubility, and opacity while enhancing UV barrier properties. TPS coating reduced tensile and burst strength but increased the burst deformation of the bi-layer films. Bi-layer film production resulted in a water vapor permeability increase of 59.26%–94.44% compared with neat PLA while decreasing OP by 2.52%–29.66%. The equilibrium moisture content (EMC) rose with higher TPS ratios, displaying type II isotherms. FTIR analysis indicated no chemical interactions between PLA and TPS. Increasing the TPS ratio decreased PLA crystallinity, supporting the mechanical and barrier properties of the bi-layer films. Neat and bi-layer films exhibited smooth, homogeneous surfaces, with a visible interface in the cross-section of the bi-layer films. In conclusion, TPS shows promise as an alternative to improve oxygen barrier properties in PLA films without adversely affecting other properties.
AtıfScopus8WoS8OpenAlex9İncele - MakaleYalnız künye2024Scopus SJRQ1Identification of wart treatment evaluation by using optimum ensemble based classification techniques
Balcı, Muharrem; Alkan, Ahmet
Warts caused by Human Papilloma Virus (HPV) do not disappear spontaneously with the body's natural immunity. This is due to many features of HPV, such as its weak immune effect, not entering the bloodstream and causing an immune response, and permanent infection of skin cells. HPV requires urgent treatment due to these characteristics and the fact that warts are most common on the hands and feet and are painful and disturbing. Choosing the most appropriate Cryotherapy or Immunotherapy treatment methods according to the patient's physiological characteristics is important in order to carry out the treatment process quickly. This study focuses on helping experts choose the most appropriate treatment for the most common plantar and common warts. For the selection of treatment method machine learning have been used. Bagged Tree and Subspace K-Nearest Neighbors (KNN) Ensemble classification algorithms were developed and tested on two data sets. These data sets were used to develop classification algorithms with pre- and post-treatment information of 180 patients receiving cryotherapy and immunotherapy treatments. The Subspace KNN Ensemble algorithm correctly predicted the treatment results of 88 of 90 patients receiving cryotherapy treatment, reaching 97.80% accuracy, and the Bagged Tree Ensemble algorithm correctly predicted 78 out of 90 patients receiving immunotherapy, reaching 86.7% accuracy. It has been shown that algorithms can help experts in terms of both high accuracy values and fast decision making. The algorithms proposed have not been used before, and it has also been seen that they have superior performances than similar studies.
AtıfScopus31WoS30OpenAlex36İncele - MakaleAçık Erişim2024Scopus SJRQ1Measurement-based V2V propagation modeling in highway, suburban, and urban environments
Hasırcı Tuğcu, Zeynep; Kuzulugil, Kenan; Çavdar, İsmail Hakkı
Vehicle-to-vehicle (V2V) communication is one of the promising communication applications designed to optimize traffic conditions and has played a crucial role in the improvement of intelligent transportation technologies. Since there is still some uncertainty regarding generalized models that provide a more accurate representation of propagation environments, the existing literature emphasizes the need for additional experimental studies in various countries and propagation environments. This study aims to investigate the low-density and high-density characteristics of V2V channels for highway, suburban, and urban propagation environments in Türkiye. Thus, first, channel measurements were conducted for all propagation scenarios. Then, after the estimation of path loss parameters, the best-fitted path loss model was determined for each propagation scenario by comparing log-distance, two-ray, and log-ray models. It was observed that the log-ray model offered remarkably better performance than the two-ray model, especially in the majority of scenarios with two-ray characteristics. In addition, small-scale modeling and shadowing were also examined, and the outcomes were compared to relevant literature. Last, generalized path loss models were developed for six propagation scenarios and compared with previous studies. Providing additional experimental data on the impact of traffic and road environments that vary across countries on the V2V channel, this study not only validated and compared existing propagation models but also improved the representing accuracy and generalizability of the newly proposed propagation models. Here, all findings were presented in detail to support the motivation of the research.
AtıfScopus11WoS11OpenAlex9İncele - MakaleAçık Erişim2024Scopus SJRQ2Shape variation in cranium, mandible and teeth in selected mouse strains
Ağaç, Duygu Küçük; Oktay, Ece; Onuk, Burcu; Kabak, Murat; Gündemir, Ozan
There are different strains of laboratory mouse used in many different fields. These strains differ anatomically. In order to determine these anatomical differences, shape analysis was conducted according to species. CD-1, C57bl/6 and Balb-c strains were preferred to study these differences. Forty-eight adult mouse strains belonging to these strains were utilized. The bones were photographed and geometric morphometry was applied to these photographs. Principal Component Analysis was applied to determine shape variations. In Principal component 1 for cranium, CD-1 and C57bl/6 strain groups showed different shape variations, while Balb-c strain group showed similar shape variations to the other strain groups. Principal Component 1 for the mandible separated the CD-1 and C57bl/6 strain groups in terms of shape variation. Principal Component 2 explained most of the variation between the C57bl/6 and CD-1 lineage groups. In PC1 for molars, the CD-1 group showed a different shape variation from the other groups. Mahalanobis distances and Procrustes distances were measured using Canonical variance analysis to explain the differences between the lineage groups. These measurements were statistically significant. For cranium, in canonical variate 1, CD-1 group of mouse and Balb-c group of mouse were separated from each other. In canonical variate 2, C57bl/6 group of mouse were separated from the other groups. For mandible, Balb-c group of mouse in canonical variate 1 and CD-1 group of mouse in canonical variate 2 were separated from the other groups. For molars, CD-1 group of mouse in canonical variate 1 and Balb-c group of mouse in canonical variate 2 were separated from the other groups. It was thought that these anatomical differences could be caused by genotypic factors as well as dietary differences and many different habits that would affect the way their muscles work.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2024Scopus SJRQ3Sprint and Anaerobic Power with the Soccer-Specific ACTN3 Gene: A Distintive Example; [Sprint y Potencia Anaeróbica con el Gen ACTN3 Específico del Fútbol: Un Ejemplo Distintivo]
Söyler, Mehmet; Zileli, Raif; Özkamçı, Hüseyin; Diker, Gürkan; Sever, Mehmet Onur; Bayrakdaroglu, Serdar; Ön, Sadi; Can, Ibrahim; Ulucan, Korkut; Aslan, Beste Tacal
The aim of this study is twofold: (1) to identify differences in certain anaerobic parameters (10m sprint, 30m sprint, anaerobic power, and Illinois agility tests) between professional and amateur soccer players, and (2) to determine whether there is a difference in the ACTN3 gene polymorphism between professional and amateur soccer players. Ultimately, the goal is to reveal which parameters contribute to the differentiation in these two aspects. A total of 133 volunteer soccer players, including 71 professionals and 62 amateurs, participated in the research. DNA extraction from buccal epithelial cells was performed using a commercial kit to determine the genetic background of the athletes, and Real-Time PCR was conducted for genotyping. Statistical analysis of the findings obtained from the test results was performed using the SPSS 23 (SPSS Inc., Chicago, IL, USA) package program. The homogeneity of variance of the data was assessed using the Levene Test, and normal distribution analyses were conducted using the Shapiro-Wilk Test. Chi-square and Mann-Whitney U tests were employed for parameter analysis. The significance level was set at p<0.05. Evaluation of the data in our study revealed no statistically significant difference in ACTN3 rs1815739 gene polymorphism between the groups (p>0.05). However, there is a statistically significant difference in anaerobic parameters (10m sprint, 30m sprint, and anaerobic power) except for the Illinois test (p<0.05). In conclusion, our study found that gene polymorphism is not a differentiating factor between professional and amateur soccer players, but speed (10m and 30m) and anaerobic power parameters are differentiating factors.
AtıfScopus1İncele - MakaleYalnız künye2024Scopus SJRQ2The effect of nonpharmacological interventions applied by nurses to intensive care patients on the duration of delirium: a meta-analysis study
Söylemez, Gönül Kara; Uzun, Sevda
Objective: It was aimed to determine the effect level of nonpharmacological methods applied by nurses to patients hospitalized in the intensive care unit on the duration of delirium. Materials and methods: For this study, relevant studies were accessed by searching in July–October 2022. After the necessary exclusions were made, 14 studies were included in the study. The total sample size of the studies was 1123. Results: According to the results, nonpharmacological interventions applied by nurses to intensive care patients were found to reduce the duration of delirium (SMD: − 0.625, 95% CI: − 1.1040–0.210; Z = − 2.950, p = 0.003, I2 = 93.119%). The country of the study (SMD: − 0.047, p = 0.001) and the types of nonpharmacological interventions used (SMD: − 0.062, p = 0.000) influenced the effect size of modulators on the duration of delirium in ICU patients. Conclusion: Nonpharmacological interventions applied by nurses, who have significant responsibilities in the protection and promotion of health, were found to reduce the duration of delirium in intensive care patients. This study shows that nurses, one of the main components of the multidisciplinary team in intensive care, are successful when they apply nonpharmacological interventions well.
AtıfScopus6WoS6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ4Significance of Model Forest Stakeholders in the Management of Sustainable Forest Resources: The Case of Yalova Model Forest, Turkey
Bekiroğlu, Sultan; Özdemir, Mehmet; Özyürek, Ercan; Çakır, Günay
Success of model forests, which are organized to support sustainable management of forests in collaboration with environmental, social, and economic forces on forest-based large territories, depends on the development of civil society index dimensions defined as “stakeholder participation,” “organizational structure,” “environment,” “values,” and “impact.” In this study, which was carried out within the scope of Yalova Model Forest, situation analysis strengths, weaknesses, opportunities, and threats analysis was used as a method. Literature and official documents, expert opinions on “stakeholder engagement,” and data obtained through a 30-question survey were used as material. In this study, “historical development,”“legal regulations,” “activities” of Yalova Model Forest and weaknesses, strengths, opportunities, threats of civil society index and strategies pertaining to them were determined. Strengths, weaknesses, opportunities, and threats analysis was conducted by forming four separate focus groups for four dimensions of the Yalova Model Forest civil society index. According to the results of this study, the stakeholder participation dimension was concluded to be exceedingly inadequate. This is evidenced by advocate stakeholders’ insufficient participation rates in activities, absence of adverse stakeholders in this reconciliation platform, and the fact that 99% of dormant–indifferent stakeholders are unaware of this organization’s existence. Therefore, stakeholder participation dimension should be strengthened and the strategic plans that will be implemented should be prepared with the participation of stakeholders. Otherwise, Yalova Model Forest’s existence, as a civil society organization, will be jeopardized. However, active advocate stakeholders’ enthusiasm about resolving problems is reassuring for the future of Yalova Model Forest.
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İncele - MakaleAçık Erişim2024Scopus SJRQ1Empowering Muslim Women: Bridging Islamic Law and Human Rights with Islamic Economics
Insani, Nur; Ibrahim, Zumiyati Sanu; Karimullah, Suud Sarim; Gönan, Yavuz; Sulastri
This intersectional study investigates the harmonisation of Islamic law and human rights in the context of empowering Muslim women through Islamic economics. This study applies an intersectional approach in carrying out the library research method with literature analysis carried out integratively and comprehensively to explore and review various literature sources relevant to the research topic, including journal articles, books, research reports, policy documents, and other related sources of information. The results show that harmonisation between Islamic law and human rights in empowering Muslim women through Islamic economics significantly impacts achieving gender equality and supporting sustainable development. The complexity of Muslim women's identities influenced by factors such as religion, gender, and social class demands a holistic and integrated policy approach in the economy. While the Islamic economy offers great potential to enhance the role of women as agents of change and key drivers of economic development, the incompatibility between Islamic law and human rights conventions and issues of gender inequality points to the need for more inclusive legal and policy reforms. Identifying and recognising these challenges underscores the importance of adopting a comprehensive and coordinated approach. Specific measures that need to be strengthened include inter-agency cooperation, legal and policy reforms to support better gender equality, capacity building of women in the Islamic economic sector, and raising public awareness on the importance of women's empowerment. As such, this study enriches the academic literature and offers practical guidance for policymakers, stakeholders in the Islamic economy, and the general public in advocating and implementing effective and sustainable women's empowerment.
AtıfScopus20OpenAlex10İncele - MakaleYalnız künye2024Scopus SJRQ1Effect of Lavender Oil on Preoperative Anxiety: Systematic Review and Meta-analysis
Kulakaç, Nurşen; Sayılan, Aylin Aydın
Purpose: Surgical interventions are known to induce anxiety in patients due to the associated risks and potential complications. Various methods are employed to alleviate preoperative anxiety. This study aimed to investigate the impact of lavender oil application on the anxiety levels of patients scheduled for surgical procedures. Design: Systematic review and meta-analysis. Methods: Studies were accessed using the keywords “preoperative and lavender oil and stress” in Turkish and English between July 1 and 30, 2022, through PubMed (including MEDLINE), Cochrane, EBSCOhost, Web of Science, YÖK National Thesis Center, and Google Scholar. The standardized mean difference was calculated using random-effects models, and the Cochrane Collaboration tool was used to assess the risk of bias in each study. The study was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis checklist. Findings: Twenty studies were included in the analysis. The anxiety level of the experimental group to which lavender oil was applied before the surgical intervention was significantly lower than that of the control group (standardized mean difference:−5.40; 95% CI: −8.76 to −2.04). Conclusion: Preoperative lavender oil application was found to be an effective method for relieving patients’ anxiety. Lavender oil is thought to be a potential standalone treatment for preoperative anxiety.
AtıfScopus6WoS5OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ1Analysis of a discrete time fractional-order Vallis system
ŞİŞMAN, Şeyma; MERDAN, Mehmet
Vallis system is a model describing nonlinear interactions of the atmosphere and temperature fluctuations with a strong influence in the equatorial part of the Pacific Ocean. As the model approaches the fractional order from the integer order, numerical simulations for different situations arise. To see the behavior of the simulations, several cases involving integer analysis with different non-integer values of the Vallis systems were applied. In this work, a fractional mathematical model is constructed using the Caputo derivative. The local asymptotic stability of the equilibrium points of the fractional-order model is obtained from the fundamental production number. The chaotic behavior of this system is studied using the Caputo derivative and Lyapunov stability theory. Hopf bifurcation is used to vary the oscillation of the system in steady and unsteady states. In order to perform these numerical simulations, we apply Grünwald–Letnikov tactics with Binomial coefficients to obtain the effects on the non-integer fractional degree and discrete time vallis system and plot the phase diagrams and phase portraits with the help of MATLAB and MAPLE packages.
AtıfScopus2WoS2OpenAlex2İncele - Derleme MakaleAçık Erişim2024Scopus SJRQ3Taxation as a Policy Instrument For Social and Economic Effects of Gambling
Günay, Hamdi Furkan
The personal and social benefits and harms of gambling, which has been more accessible, diversified, and widespread thanks to global internet use, sometimes find their place in country agendas. Due to its characteristics, the gambling sector requires effective management through public policies. In this direction, governments determine sectoral policies in two ways: by choosing to ban gambling activities completely or by regulating the sector by legalizing certain types. In this context, taxes stand out as one of the policy tools adopted by many countries. This research aimed to evaluate the success of taxes–as a public policy tool–in controlling the social and economic effects of the gambling industry. Through a systematic review, the role and success of taxation against the social and economic influences of gambling have been evaluated in light of literature research and application examples. The present study revealed that taxes, as a policy tool, are insufficient and may lead to undesirable results in combating gambling, which has limited-positive contributions to the country's economies but harms society by creating severe addictions and other irreversible social costs.
AtıfScopus8OpenAlex8İncele - MakaleYalnız künye2024Scopus SJRQ2Reliability generalization meta-analysis of the food neophobia scale: Turkish sample
Polat, Eray; Çalişkan, Serkan
Purpose: The Food Neophobia Scale developed by Pliner and Hobden (1992) has been widely utilized globally and in Turkey for many years to measure people's fear of new foods. This study aims to determine the mean value by conducting a reliability generalization meta-analysis for the reported reliability coefficients of individual studies in Turkey's tourism field, which employed Pliner and Hobden's scale to investigate food neophobia. Additionally, this study explores variations in the mean value among subgroups. Methods: A reliability generalization meta-analysis based on a random-effects model was conducted to examine the heterogeneity of reliability coefficients in the study, along with heterogeneity analyses and moderator analyses. Results: Based on the analysis of 48 independent samples (N= 23306), the transformed mean Cronbach's alpha value was estimated to be .827 (95% CI [.796-.853]) and found to be significant. The Q-test and I2 values reveal significant heterogeneity between alpha coefficients, indicating a notable variation in the measurement reliability across samples. Moderator analyses using analog to the ANOVA and meta-regression analyses showed that reliability coefficients differed according to the variables of publication type, sample type, and proportion of women in the sample. Implications: The results offer valuable insight for researchers seeking to select appropriate scales for investigating food neophobia.
AtıfScopus1İncele - Kitap BölümüYalnız künye2024Conceptual Framework and Problem Visibility: Conceptual Explanations for the Economics of Climate Change
Vural, Selvi
In the realm of economics, conceptual explanations serve as the foundation for understanding the complexities of market dynamics, resource allocation, and socio- economic phenomena. These explanations elucidate the theoretical frameworks that underpin economic models, guiding policymakers, analysts, and individuals in comprehending the intricate interplay of factors shaping economic outcomes. Conceptual explanations delve into fundamental concepts such as supply and demand, elasticity, production functions, utility theory, and market structures, offering insights into how these principles interact to influence economic behavior and outcomes. By providing a conceptual roadmap, these explanations facilitate informed decision- making, foster critical thinking, and contribute to the advancement of economic theory and practice.
- Kitap BölümüAçık Erişim2024Evaluation of the Computerized Accounting Information System (CAIS) in Smart Healthcare Systems: Examples of Turkey
Selimoğlu, Seval Kardeş; Altunel, Mehtap; Yeşilçelebi, Gül
The health sector has a significant impact on human life. Digital technologies such as blockchain, artificial intelligence, big data, machine learning, and the Internet of Things have had an impact on many economies and professions. One of them is the field of accounting and the accounting profession. Since the existence of an effective accounting system is important to the success of organizations, accounting practices come to the fore at this point. Technology benefits are listed in many areas in the health sector, such as sharing insurance claims between parties with blockchain technology, machine learning and data analysis for data privacy, data mining, and detection of fraud. This study, besides explaining the concept of medical accounting in the health sector, aims to discuss the technological developments and benefits in the field of accounting in the health sector within the framework of cost accounting, management accounting, and fraud prevention.
- MakaleAçık Erişim2024Scopus SJRQ2Social Work Graduates as Youth Not in Education, Employment, or Training (NEET) in Türkiye: An Intersectional Analysis
Afyonoğlu, Meliha Funda; Yiğit, Rabia Ruveyda; Mısırlı, Gökçe Nur; Bilgin, Özkan
This research investigates the experiences of social work graduates as youth who are not in employment, education, or training (NEET) by employing an intersectional perspective. In-depth interviews were conducted with 21 social work graduates who are unemployed for at least a year. The findings encompass three key themes: being NEET, the reasons for being NEET, and solutions proposed by social work graduates as NEET. The findings evaluate the shared experiences among participants while endeavoring to elucidate how these experiences diverge concerning various social categories. From an intersectional perspective, the results expose disparities in the NEET experience, considering factors such as gender, marital status, being a parent, class, social capital, geographical location, and societal perceptions. The research is expected to contribute to the body of knowledge concerning educated NEETs and the unique strength of it lies in the absence of previous investigations pertaining to NEETs as social work graduates. It is advised that individual and structural factors should be considered in analyzing the experience of being NEET and that micro, meso, and macro social work interventions should be developed in terms of these factors. Furthermore, future research endeavors can focus on evaluating the efficacy of interventions and conducting comprehensive mixed-method studies.
AtıfScopus8WoS7OpenAlex10İncele - 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 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.
- 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.
AtıfScopus8WoS7OpenAlex8İncele - 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