PubMed İndeksli Yayınlar Koleksiyonu

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Citation - WoS: 8
Citation - Scopus: 9
A novel stabilized artificial neural network model enhanced by variational mode decomposing
(CELL PRESS, 2024-07) Ali Danandeh Mehr; Sadra Shadkani; Laith Abualigah; Mir Jafar Sadegh Safari; Hazem Migdady; Mehr, Ali Danandeh; Migdady, Hazem; Shadkani, Sadra; Safari, Mir Jafar Sadegh; Abualigah, Laith; Danandeh Mehr, Ali
Existing artificial neural networks (ANNs) have attempted to efficiently identify underlying patterns in environmental series but their structure optimization needs a trial-and-error process or an external optimization effort. This makes ANNs time consuming and more complex to be applied in practice. To alleviate these issues we propose a stabilized ANNs called SANN. The SANN efficiently optimizes ANN structure via incorporation of an additional numeric parameter into every layer of the ANN. To exemplify the efficacy and efficiency of the proposed approach we provided two practical case studies involving meteorological drought forecasting at cities of Burdur and Isparta T & uuml,rkiye. To enhance SANN forecasting accuracy we further suggested the hybrid VMD-SANN that integrated variation mode decomposition (VMD) with SANN. To validate the new hybrid model we compared its results with those obtained from hybrid VMD-ANN and VMD-Radial Base Function (VMD-RBF) models. The results showed superiority of the VMD-SANN to its counterparts. Regarding Nash Sutcliffe Efficiency measure the VMD-SANN achieves accurate forecasts as high as 0.945 and 0.980 in Burdur and Isparta cities respectively.
Citation - WoS: 20
Citation - Scopus: 26
An analysis of Emergency Medical Services demand: Time of day- day of the week- and location in the city
(ELSEVIER, 2017-06) Gorkem Sariyer; Mustafa Gokalp Ataman; Serhat Akay; Turhan Sofuoglu; Zeynep Sofuoglu; Ataman, Mustafa Gokalp; Sariyer, Gorkem; Sofuoglu, Turhan; Akay, Serhat; Sofuoglu, Zeynep
Objective: Effective planning of Emergency Medical Services (EMS) which is highly dependent on the analysis of past data trends is important in reducing response time. Thus we aimed to analyze demand for these services based on time and location trends to inform planning for an effective EMS. Materials and methods: Data for this retrospective study were obtained from the Izmir EMS 112 system. All calls reaching these services during first six months of 2013 were descriptively analyzed based on time and location trends as a heat-map form. Results: The analyses showed that demand for EMS varied within different time periods of day and according to day of the week. For the night period demand was higher at the weekend compared to weekdays whereas for daytime hours demand was higher during the week. For weekdays a statistically significant relation was observed between the call distribution of morning and evening periods. It was also observed that the percentage of demand changed according to location. Among 30 locations the five most frequent destinations for ambulances which are also correlated with high population densities accounted for 55.66% of the total. Conclusion: The results of this study shed valuable light on the areas of call center planning and optimal ambulance locations of Izmir which can also be served as an archetype for other cities. Copyright (C) 2016 The Emergency Medicine Association of Turkey. Production and hosting by Elsevier B.V. on behalf of the Owner. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold
(Elsevier Ltd, 2023-06) Ahmet Hasan Koltuksuz; Cagatay Yucel; Anas Maazu Kademi; Yucel, Cagatay; Maazu Kademi, Anas; Kademi, Anas Maazu; Koltuksuz, Ahmet
The definition and nature of information have perplexed scientists due to its dual nature in measurements. The information is discrete and continuous when evaluated on a metric scale and the Laplace-Beltrami operator and Gauss-Bonnet Theorem can map one to another. On the other hand defining the information as a discrete entity on the surface area of an n-dimensional discrete digital manifold provides a unique way of calculating the entropy of a manifold. The software simulation shows that the surface area of the discrete n-dimensional digital manifold is an effectively computable function. Moreover it also provides the information-geometrical evaluation of Shannon information metrics. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 114
Citation - Scopus: 118
Analysis of CO2 emissions and energy consumption by sources in MENA countries: evidence from quantile regressions
(Springer Science and Business Media Deutschland GmbH, 2021-03-20) Majed D. Alharthi; Eyup Dogan; Dilvin Taşkın; Taskin, Dilvin; Dogan, Eyup; Alharthi, Majed
The development of economies and energy usage can significantly impact the carbon dioxide (CO2) emissions in the Middle East and North Africa (MENA) countries. Therefore this study aims to analyze the factors that determine CO2 emissions in MENA under the environmental Kuznets curve (EKC) framework by applying novel quantile techniques on data for CO2 emissions real income renewable and non-renewable energy consumption and urbanization over the period from 1990 to 2015. The results from the estimations suggest that renewable energy consumption significantly reduces the level of emissions, furthermore its impact increases with higher quantiles. In addition non-renewable energy consumption increases CO2 emissions while its magnitude decreases with higher quantiles. The empirical results also confirm the validity of EKC hypothesis for the panel of MENA economies. Policymakers in the region should implement policies and regulations to promote the adoption and use of renewable energy to mitigate carbon emissions. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 7
Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach
(SPRINGER HEIDELBERG, 2024-02-07) Yigit Kazancoglu; Nazlican Gozacan; Sunil Luthra; Anil Kumar; Gozacan, Nazlican; Luthra, Sunil; Kumar, Anil; Kazançoğlu, Yiğit
Urban areas serve as a vital contribution to the global structural change towards renewable and sustainable energy technologies which also influence climate change. The aim of this paper is to identify the adoption roadblocks to renewable and sustainable urban energy technologies. This research has three parts: a mini-systematic literature study was conducted to identify the most prevalent roadblocks. Using total interpretive structural modeling (ISM) the relationships between the roadblocks and the source of causation were then examined. The roadblocks are classified based on their dependence and driving powers using MICMAC analysis in the third part of this research. The principal results and major conclusions demonstrate that all roadblocks are necessary for renewable and sustainable urban energy technologies. The roadblocks at level I are insufficient infrastructure lack of coordination among authorities lack of quality and reliable data and information and competition with non-renewable technologies, roadblocks in level II are lack of skilled and trained personnel limited public participation awareness and consumer interest and lack of standardized technology, roadblock in level III is high initial investment cost, and lastly roadblocks in level IV are lack of subsidies and financial support programs and absence of coherent related policies. Furthermore as a result of the MICMAC analysis none of the aforementioned roadblocks are classified as autonomous variables implying that they are all required. The dependent roadblocks to renewable and sustainable energy technologies are defined as lack of coordination among authorities lack of information and competition with non-renewable technologies. Moreover linkage roadblocks have high dependence and driving powers which are insufficient infrastructure limited awareness and consumer interest and lack of standardized technology. Lastly high initial investment costs lack of subsidies and financial support programs absence of coherent related policies and lack of skilled and trained personnel are the driving roadblocks with high driving power however not dependent.
Citation - WoS: 6
Citation - Scopus: 7
Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method
(INST ENGINEERING TECHNOLOGY-IET, 2019-12) Neslihan Avcu; Cuneyt Guzelis; Guzelis, Cuneyt; Avcu, Neslihan
Most of the biological systems including gene regulatory networks can be described well by ordinary differential equation models with rational non-linearities. These models are derived either based on the reaction kinetics or by curve fitting to experimental data. This study demonstrates the applicability of the root-locus-based bifurcation analysis method for studying the complex dynamics of such models. The effectiveness of the bifurcation analysis in determining the exact parameter regions in each of which the system shows a certain dynamical behaviour such as bistability oscillation and asymptotically equilibrium dynamics is shown by considering two mostly studied gene regulatory networks namely Gardner's genetic toggle switch and p53 gene network possessing two-phase (mono-stable/oscillation) dynamics.
Citation - WoS: 10
Citation - Scopus: 13
Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations
(SPRINGER, 2022-09-15) Gorkem Sariyer; Mustafa Gokalp Ataman; Sachin Kumar Mangla; Yigit Kazancoglu; Manoj Dora; Ataman, Mustafa Gokalp; Dora, Manoj; Sariyer, Gorkem; Mangla, Sachin Kumar; Kazancoglu, Yigit
Grounded in dynamic capabilities this study mainly aims to model emergency departments' (EDs) sustainable operations in the current situation caused by the COVID-19 pandemic by using emerging big data analytics (BDA) technologies. Since government may impose some restrictions and prohibitions in coping with emergencies to protect the functioning of EDs it also aims to investigate how such policies affect ED operations. The proposed model is designed by collecting big data from multiple sources and implementing BDA to transform it into action for providing efficient responses to emergencies. The model is validated in modeling the daily number of patients the average daily length of stay (LOS) and daily numbers of laboratory tests and radiologic imaging tests ordered. It is applied in a case study representing a large-scale ED. The data set covers a seven-month period which collectively means the periods before COVID-19 and during COVID-19 and includes data from 238152 patients. Comparing statistics on daily patient volumes average LOS and resource usage both before and during the COVID-19 pandemic we found that patient characteristics and demographics changed in COVID-19. While 18.92% and 27.22% of the patients required laboratory and radiologic imaging tests before-COVID-19 study period these percentages were increased to 31.52% and 39.46% during-COVID-19 study period. By analyzing the effects of policy-based variables in the model we concluded that policies might cause sharp decreases in patient volumes. While the total number of patients arriving before-COVID-19 was 158347 it decreased to 79805 during-COVID-19. On the other hand while the average daily LOS was 117.53 min before-COVID-19 this value was calculated to be 16503 min during-COVID-19 study period. We finally showed that the model had a prediction accuracy of between 80 to 95%. While proposing an efficient model for sustainable operations management in EDs for dynamically changing environments caused by emergencies it empirically investigates the impact of different policies on ED operations.
Carbon Footprint of Food Production: A Systematic Review and Meta-Analysis
(Nature Portfolio, 2025-10-13) Onat, Nuri C.; Kucukvar, Murat; Kazançoğlu, Yiğit; Jabbar, Rateb; Al-Quradaghi, Shimaa; Al-Thani, Soud; Mandouri, Jafar
In the face of the urgent climate crisis, food production is a significant contributor to greenhouse gas emissions (GHG). We analyzed 118 life-cycle assessment (LCA) studies on GHG emissions of food production, considering LCA methods, life cycle phase, waste inclusion, and regional factors, including country, continent, and development status. Additionally, machine learning analysis identifies influential factors of GHG emissions of food production across seven categories: red meats, seafood, white meat, fruits & vegetables, animal products, other plant-based, and others (oils). Based on the gradient boosting algorithm, the LCA method choice ranks among the top determinants for GHG emissions in animal products, red meat, seafood, other plant-based products, and others food categories. Only 22% of studies include waste, revealing up to 39% higher emissions in some categories compared to those excluding waste. Our meta-analysis presents min-max-average GHG emission results for each food category, within countries, different scope settings, waste considerations, and LCA methods.
Citation - WoS: 3
Citation - Scopus: 3
Carbon Footprint of Food Production: A Systematic Review and Meta-Analysis
(Nature Portfolio, 2025-10-13) Onat, Nuri C.; Kucukvar, Murat; Kazançoğlu, Yiğit; Jabbar, Rateb; Al-Quradaghi, Shimaa; Al-Thani, Soud; Mandouri, Jafar
In the face of the urgent climate crisis, food production is a significant contributor to greenhouse gas emissions (GHG). We analyzed 118 life-cycle assessment (LCA) studies on GHG emissions of food production, considering LCA methods, life cycle phase, waste inclusion, and regional factors, including country, continent, and development status. Additionally, machine learning analysis identifies influential factors of GHG emissions of food production across seven categories: red meats, seafood, white meat, fruits & vegetables, animal products, other plant-based, and others (oils). Based on the gradient boosting algorithm, the LCA method choice ranks among the top determinants for GHG emissions in animal products, red meat, seafood, other plant-based products, and others food categories. Only 22% of studies include waste, revealing up to 39% higher emissions in some categories compared to those excluding waste. Our meta-analysis presents min-max-average GHG emission results for each food category, within countries, different scope settings, waste considerations, and LCA methods.
Citation - WoS: 17
Citation - Scopus: 16
Child maltreatment in Turkey: Comparison of parent and child reports
(Czech National Institute of Public Health Srobarova 48 Prague 10042 10, 2016-09-01) Zeynep Baskaya Sofuoǧlu; Gorkem Sariyer; M. Gökalp Ataman; Ataman, M. Gokalp; Sarıyer, Görkem; Sofuoğlu, Zeynep; Sanyer, Gorkem; Gökalp Ataman, M.
Background and Aim: Child maltreatment i.e. abuse and neglect is a significant problem worldwide and can cause impaired physical and mental health throughout life. The true extent still remains unknown in all countries including Turkey. The aim of this study was to apply the two versions of the International Society for the Prevention of Child Abuse and Neglect (ISPCAN) Child Abuse Screening Tool of ICAST-C and ICAST-P which are used to assess child and parent feedback and to compare reports given by children and those given by parents. This is the first study of its kind conducted in Turkey. Methods: First ICAST was translated into Turkish by bilingual experts. Students and their parents were asked to complete ICAST-C and ICAST-P respectively with the help of trained researchers. In total data from 2 608 matched reports (2 608 children and 2 608 parents) was obtained. Descriptive statistics were used to evaluate demographical variables and chi-square tests were employed to investigate the statistical significance of comparisons. Results: The present study demonstrated that Turkish parents consider rebukes insults and corporal punishment effective ways of disciplining children. According to parents’ reports the use of psychological abuse was most prevalent against boys aged 16 while the use of physical abuse was most prevalent against boys aged 13. A statistically significant relationship was found between parents’ economic conditions and child abuse (p < 0.01). No significant relationship was detected between maternal educational levels and child abuse (p > 0.05). However the relationship between paternal educational background and psychological abuse was observed to be significant (p < 0.05). A comparison of children’s and parents’ reports shows that parents tended to under-report child maltreatment. Conclusions: The results show that there is a significant healthcare problem in Turkey since child maltreatment is prevalent but parents are not generally aware of its extent. Possible approaches to changing this situation include efforts to increase education levels promoting public awareness and strengthening political commitments. © 2016 Elsevier B.V. All rights reserved.
Citation - WoS: 44
Citation - Scopus: 48
Childhood Emotional Abuse and Cyberbullying Perpetration: The Role of Dark Personality Traits
(SAGE Publications Inc., 2019-12-02) Kağan Kircaburun; Peter Karl Jonason; Mark D. Griffiths; Engin Aslanargun; Emrah Emirtekin; Şule Betül Tosuntaş; Joël Billieux; Emirtekin, Emrah; Billieux, Joel; Aslanargun, Engin; Kircaburun, Kagan; Jonason, Peter; Griffiths, Mark D.; Tosuntas, Sule B.
Dark personality traits (i.e. Machiavellianism psychopathy narcissism spitefulness and sadism) are associated with adverse childhood experiences and deviant online behaviors. However their mediating role between childhood emotional abuse and cyberbullying has never previously been investigated. We examined direct and indirect associations of childhood emotional abuse and cyberbullying via dark personality traits among 772 participants. Men were better characterized by dark personality traits and were more likely to engage in cyberbullying than women and there were no sex differences in childhood emotional abuse. Collectively dark traits fully mediated the relationship between childhood emotional abuse and cyberbullying in men with partial mediation in the total sample and women. More specifically Machiavellianism and spitefulness were mediators in both samples sadism was a mediator in men and the total sample and psychopathy was a mediator in the total sample and women. The dark personality traits can account for the association between childhood emotional abuse and cyberbullying especially among men. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 26
Citation - Scopus: 25
Compensatory usage of the internet: The case of mukbang watching on youtube
(Korean Neuropsychiatric Association, 2021-04-25) Kağan Kircaburun; Sabah Balta; Emrah Emirtekin; Şule Betül Tosuntaş; Zsolt Demetrovics; Mark D. Griffiths; Kircaburun, Kagan; Emirtekin, Emrah; Balta, Sabah; Tosuntaş, Şule Betül; Demetrovics, Zsolt; Griffiths, Mark D.
Objective Accumulating empirical research has emphasized that a wide range of online activities–such as using social networking sites–can be performed in order to compensate unattained needs or to cope with negative affect and psychopathological symptoms. Al-though the correlates of problematic social networking use have been extensively investigated less is known about problematic YouTube use (PYU) an umbrella term grouping a number of different activities (e.g. viewing of online video games watching specific YouTube channels). Furthermore nothing is known concerning increasingly popular and distinct YouTube-related activities such as mukbang watching (i.e. watching livestream “eating broadcasts” where someone eats various foods in front of the camera while interacting with viewers). The aim of the present study was to examine the mediating role of problematic mukbang watching (PMW) on the relationships between depression and loneliness with PYU. Methods An online survey that comprised assessment tools for aforementioned variables was administered to 217 mukbang viewers (mean age=20.58 years range 18–33 years). Results Results indicated that PMW was positively related to loneliness and PYU. Depression was positively and directly associated with PYU but was not associated with PMW. Conclusion Further research is required to better understand the psychological processes underlying problematic mukbang watching and its association with other mental health conditions (e.g. addictive disorders eating disorders). © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 43
Citation - Scopus: 48
Consumer Response to Novel Foods: A Review of Behavioral Barriers and Drivers
(MDPI, 2024-06-27) Cihat Guenden; Pelin Atakan; Murat Yercan; Konstadinos Mattas; Marija Knez; Yercan, Murat; Atakan, Pelin; Mattas, Konstadinos; Günden, Cihat; Guenden, Cihat; Knez, Marija
There is a pressing need for a transition toward more sustainable diets which has become a shared priority for both consumers and businesses. Innovation is becoming increasingly widespread across all facets of the food supply chain. This innovation spans various domains related to production including sustainable cultivation methods as well as new food technologies like gene editing new product development like functional foods and revitalizing underutilized and genetically diverse varieties to preserve biodiversity. However not all innovative efforts are accepted by consumers and survive in markets. The interwoven and long agri-food supply chains often obscure the feedback loop between production and consumption. Consequently it is important to understand to what extent consumers embrace these food innovations and form new eating habits. This review aims to investigate the consumer response to novel foods focusing on behavioral factors which have yet to receive as much attention as sensory factors. Peer-reviewed empirical articles from the last decade are examined inductively to develop a bird's-eye view of the behavioral barriers to and drivers of consumer acceptance of novel foods. In addition strategies to overcome the identified challenges associated with the behavioral barriers are reviewed and examined. Based on this the study links cognitive biases with behavioral factors influencing consumer acceptance of novel foods. This study concludes that the inconvenience associated with abandoning established eating habits is typically perceived as a loss and avoiding this inconvenience is deemed more worth the risk than the potential gains associated with novel food consumption. This study suggests that framing and placing pro-diversity labels could serve as effective behavioral interventions for marketing strategists and food policymakers.
Citation - WoS: 1
Citation - Scopus: 1
Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon
(INST ENGINEERING TECHNOLOGY-IET, 2020-04) Goekhan Demirkiran; Guleser Kalayc Demir; Cuneyt Guzelis; Guzelis, Cuneyt; Demirkiran, Goekhan; Demir, Guleser Kalayci
Double-strand break-induced (DSB) cells send signal that induces DSBs in neighbour cells resulting in the interaction among cells sharing the same medium. Since p53 network gives oscillatory response to DSBs such interaction among cells could be modelled as an excitatory coupling of p53 network oscillators. This study proposes a plausible coupling model of three-mode two-dimensional oscillators which models the p53-mediated cell fate selection in globally coupled DSB-induced cells. The coupled model consists of ATM and Wip1 proteins as variables. The coupling mechanism is realised through ATM variable via a mean-field modelling the bystander signal in the intercellular medium. Investigation of the model reveals that the coupling generates more sensitive DNA damage response by affecting cell fate selection. Additionally the authors search for the cause-effect relationship between coupled p53 network oscillators and bystander effect (BE) endpoints. For this they search for the possible values of uncertain parameters that may replicate BE experiments' results. At certain parametric regions there is a correlation between the outcomes of cell fate and endpoints of BE suggesting that the intercellular coupling of p53 network may manifest itself as the form of observed BEs.
Deciphering Drought-Response in Wheat (Triticum Aestivum): Physiological, Biochemical, and Transcriptomic Insights into Tolerant and Sensitive Cultivars under Dehydration Shock
(Frontiers Media SA, 2025-10-27) Sezerman, Osman Ugur; Ozer, Bugra; Yildizhan, Yasemin; Fayetorbay, Rumeysa; Cevher-Keskin, Birsen; Tor, Mahmut; Sekmen, A. Hediye
Introduction: Wheat (Triticum aestivum L.) is a major staple crop, but its productivity is severely threatened by drought, especially during reproductive stages when yield and quality are most vulnerable. Climate change and water overexploitation intensify this challenge, with yield losses of up to 80% in arid regions and projected global production declines of similar to 29%. Drought tolerance is a complex trait involving physiological, biochemical, and molecular mechanisms, including stomatal regulation, osmolyte accumulation, and activation of stress-responsive genes. Advances in transcriptomics, functional genomics, and genome editing have identified key regulators (DREB, ERF, SnRK2), antioxidant enzymes, and ABA signalling components as targets for improving drought resilience. Developing drought-tolerant wheat varieties is therefore a priority for food security.Materials and Methods: This study investigates transcriptomic responses in root and leaf tissues of three wheat cultivars, Atay 85 (drought-sensitive), Gerek 79 and Mufitbey (drought-tolerant), subjected to 4- and 8-hour shock-dehydration stress. Before RNAseq analysis, biochemical assays were conducted to assess oxidative damage (TBARS) and antioxidant enzyme activities under shock-dehydration stress for three different cultivars. Differential gene expression analysis was performed, and several highly differentially expressed genesincluding TaZFP36, TaMC5, TaGI, TaGLP9-1, and TaFer were selected to validate RNAseq data in both root and leaf tissues of tolerant and sensitive cultivars.Results: Transcriptomic analysis revealed distinct metabolic strategies for drought adaptation. Photosynthesis-related processes, including Photosystem I and II, were broadly downregulated, while extracellular and membrane-associated components were upregulated, reflecting a shift toward stress defence mechanisms. Cultivar-specific responses highlighted diverse adaptation strategies: Atay 85 exhibited severe metabolic suppression and ATP depletion, making it highly vulnerable to drought. Gerek 79 conserved energy by suppressing photosynthesis while enhancing osmoprotective sugar metabolism and reinforcing structural integrity through lignin and flavonoid biosynthesis. Mufitbey demonstrated the most robust drought tolerance by integrating metabolic dormancy, hormonal signalling, and antioxidant defence, characterized by stable CAT activity and elevated SOD activity, which mitigated oxidative damage and preserved photosynthetic stability. Root tissues prioritized metabolic adjustments for oxidative stress reduction and developmental adaptation, while leaf tissues focused on maintaining photosynthesis and limiting protein damage. Functional enrichment analysis indicated significant upregulation of stress-related pathways, including ABA-mediated signalling, protein binding, and cellular metabolic processes in tolerant cultivars.Discussion: This study advances our knowledge of the complex molecular and biochemical responses of wheat with differing tolerance levels, highlighting both key candidate genes and antioxidant defence mechanisms as central to cultivar-specific adaptation strategies. The distinct metabolic strategies observed emphasize the importance of tailored molecular mechanisms in drought tolerance, which can guide future breeding programs aimed at improving wheat resilience under water-limited conditions.
Citation - WoS: 2
Citation - Scopus: 2
Deciphering Drought-Response in Wheat (Triticum Aestivum): Physiological, Biochemical, and Transcriptomic Insights into Tolerant and Sensitive Cultivars under Dehydration Shock
(Frontiers Media SA, 2025-10-27) Sezerman, Osman Uğur; Özer, Buğra; Yıldızhan, Yasemin; Fayetorbay, Rumeysa; Cevher-Keskin, Birsen; Tör, Mahmut; Sekmen, A. Hediye
Introduction: Wheat (Triticum aestivum L.) is a major staple crop, but its productivity is severely threatened by drought, especially during reproductive stages when yield and quality are most vulnerable. Climate change and water overexploitation intensify this challenge, with yield losses of up to 80% in arid regions and projected global production declines of similar to 29%. Drought tolerance is a complex trait involving physiological, biochemical, and molecular mechanisms, including stomatal regulation, osmolyte accumulation, and activation of stress-responsive genes. Advances in transcriptomics, functional genomics, and genome editing have identified key regulators (DREB, ERF, SnRK2), antioxidant enzymes, and ABA signalling components as targets for improving drought resilience. Developing drought-tolerant wheat varieties is therefore a priority for food security. Materials and Methods: This study investigates transcriptomic responses in root and leaf tissues of three wheat cultivars, Atay 85 (drought-sensitive), Gerek 79 and Mufitbey (drought-tolerant), subjected to 4- and 8-hour shock-dehydration stress. Before RNAseq analysis, biochemical assays were conducted to assess oxidative damage (TBARS) and antioxidant enzyme activities under shock-dehydration stress for three different cultivars. Differential gene expression analysis was performed, and several highly differentially expressed genesincluding TaZFP36, TaMC5, TaGI, TaGLP9-1, and TaFer were selected to validate RNAseq data in both root and leaf tissues of tolerant and sensitive cultivars. Results: Transcriptomic analysis revealed distinct metabolic strategies for drought adaptation. Photosynthesis-related processes, including Photosystem I and II, were broadly downregulated, while extracellular and membrane-associated components were upregulated, reflecting a shift toward stress defence mechanisms. Cultivar-specific responses highlighted diverse adaptation strategies: Atay 85 exhibited severe metabolic suppression and ATP depletion, making it highly vulnerable to drought. Gerek 79 conserved energy by suppressing photosynthesis while enhancing osmoprotective sugar metabolism and reinforcing structural integrity through lignin and flavonoid biosynthesis. Mufitbey demonstrated the most robust drought tolerance by integrating metabolic dormancy, hormonal signalling, and antioxidant defence, characterized by stable CAT activity and elevated SOD activity, which mitigated oxidative damage and preserved photosynthetic stability. Root tissues prioritized metabolic adjustments for oxidative stress reduction and developmental adaptation, while leaf tissues focused on maintaining photosynthesis and limiting protein damage. Functional enrichment analysis indicated significant upregulation of stress-related pathways, including ABA-mediated signalling, protein binding, and cellular metabolic processes in tolerant cultivars. Discussion: This study advances our knowledge of the complex molecular and biochemical responses of wheat with differing tolerance levels, highlighting both key candidate genes and antioxidant defence mechanisms as central to cultivar-specific adaptation strategies. The distinct metabolic strategies observed emphasize the importance of tailored molecular mechanisms in drought tolerance, which can guide future breeding programs aimed at improving wheat resilience under water-limited conditions.
Citation - WoS: 4
Citation - Scopus: 4
Deciphering melatonin biosynthesis pathway in Chenopodium quinoa: genome-wide analysis and expression levels of the genes under salt and drought
(SPRINGER, 2025-06-12) Seher Yolcu; Ece Fidan; Muhammed Fatih Kaya; Emre Aksoy; Ismail Turkan; Kaya, Muhammed Fatih; Turkan, Ismail; Fidan, Ece; Aksoy, Emre; Yolcu, Seher
Main conclusionIn this study we identified a total of ten melatonin biosynthesis genes (3 TDCs 2 TSHs 3 SNATs and 2 ASMTs) in Chenopodium quinoa through bioinformatics methods and analyzed physiological traits and gene expression levels in drought- and salt-treated plants with or without melatonin. Gene expression levels showed variations depending on tissues genotypes and abiotic stress.AbstractMelatonin is involved in distinct biological processes such as growth development and stress response in plants. The tryptophan decarboxylase (TDC) tryptamine 5-hydroxylase (T5H) serotonin N-acetyltransferase (SNAT) and N-acetylserotonin O-methyltransferase (ASMT) enzymes are involved in melatonin biosynthesis. Exogenous melatonin reduces the adverse effects of salt stress in different plants but the roles of melatonin biosynthesis pathway in quinoa (Chenopodium quinoa) remain elusive. This study aims to identify and characterize the melatonin biosynthetic genes encoding TDCs T5Hs SNATs and ASMTs in C. quinoa genome through bioinformatics methods and determine their transcript abundances under salt and drought stress. In total ten genes were identified in C. quinoa genome including 3 TDCs 2 TSHs 3 SNATs and 2 ASMTs. TDCs have a pyridoxal-dependent decarboxylase domain T5Hs possess a cytochrome P450 SNAT proteins contain the Acetyltransf_1 domain and ASMTs include the O-methyltransferase domain. We also examined some physiological characteristics such as growth and water relations along with electrolyte leakage. For that purpose two quinoa genotypes (Salcedo and Ames 1377) were subjected to salt and drought stress with or without melatonin. Exogenous melatonin remarkably reduced the negative effects of salt and drought on shoot length RWC and electrolyte leakage in the sensitive Salcedo genotype. However it showed limited impact on the stress-tolerant Ames 1377 genotype. Expression patterns showed variations depending on tissues genotypes and the type of abiotic stress. Promoter analysis indicated that the cis-elements in TDC T5H and SNAT promoters were mostly associated with stress-response while those in ASMT promoters were related to light response.
Citation - WoS: 43
Citation - Scopus: 48
Decision tree (DT) generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes
(IWA Publishing 12 Caxton Street London SW1H 0QS, 2019-03-15) Mir Jafar Sadegh Safari; Safari, Mir Jafar Sadegh
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates the bed load sediment transport in sewer pipes with particular reference to the non-deposition condition in clean bed channels. Four data sets available in the literature covering wide ranges of pipe size sediment size and sediment volumetric concentration have been utilized through applying decision tree (DT) generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) techniques for modeling. The developed models have been compared with conventional regression models available in the literature. The model performance indicators showed that DT GR and MARS models outperform conventional regression models. Result shows that GR and MARS models are comparable in terms of calculating particle Froude number and performing better than DT. It is concluded that conventional regression models generally overestimate particle Froude number for the non-deposition condition of sediment transport while DT GR and MARS outputs are close to their measured counterparts. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 5
Development of a Novel Spherical Light-Based Positioning Sensor in Solar Tracking
(MDPI, 2023-04-09) Oguz Gora; Taner Akkan; Gora, Oğuz; Akkan, Taner
Tracking of the sun which increases the efficiency of solar energy production systems has shown considerable development in recent years. This development has been achieved by custom-positioned light sensors image cameras sensorless chronological systems and intelligent controller supported systems or by synergetic use of these systems. This study contributes to this research area with a novel spherical-based sensor which measures spherical light source emittance and localizes the light source. This sensor was built by using miniature light sensors placed on a spherical shaped three-dimensional printed body with data acquisition electronic circuitry. Besides the developed sensor data acquisition embedded software preprocessing and filtering processes were conducted on these measured data. In the study the outputs of Moving Average Savitzky-Golay and Median filters were used for the localization of the light source. The center of gravity for each filter used was determined as a point and the location of the light source was determined. The spherical sensor system obtained by this study is applicable for various solar tracking methods. The approach of the study also shows that this measurement system is applicable for obtaining the position of local light sources such as the ones placed on mobile or cooperative robots.
Citation - Scopus: 1
Erratum: Correction to: Validation of the Short Version (TLS-15) of the Triangular Love Scale (TLS-45) Across 37 Languages (Archives of sexual behavior (2024) 53 2 (839-857))
(Springer/Plenum Publishers, 2023-12-01) Marta Kowal; Piotr Sorokowski; Bojana M. Dinić; Katarzyna Pisanski; Biljana Gjoneska; David A. Frederick; Gerit Pfuhl; Taciano L. Milfont; Adam Bode; Leonardo A. Aguilar; Frederick, David A.; Kowal, Marta; Dinic, Bojana M.; Sternberg, Robert J.; Pisanski, Katarzyna; Gjoneska, Biljana; Sorokowski, Piotr
[No abstract available]

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