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: 2
Citation - Scopus: 3
A stochastic approach for the assessment of suspended sediment concentration at the Upper Rhone River basin- Switzerland
(SPRINGER HEIDELBERG, 2022-02-03) Babak Vaheddoost; Saeed Vazifehkhah; Mir Jafar Sadegh Safari; Vaheddoost, Babak; Vazifehkhah, Saeed; Safari, Mir Jafar Sadegh
This study addresses the link between suspended sediment concentration precipitation streamflow and direct runoff components. This is important since suspended sediment concentration in the streamflow has invaluable importance in the management of the river basin. For this the daily streamflow time series in five consecutive stations at Upper Rhone River Basin a relatively large basin in the Alpine region of Switzerland daily precipitation at one station and the twice a week suspended sediment concentration records at the most downstream station between January 1981 and October 2020 are used. Initially the base flow and the direct runoff associated with streamflow time series are obtained using the sliding interval method. Elasticity analyses between streamflow and suspended sediment concentration together with correlation autocorrelation partial autocorrelation stationarity and homogeneity are examined by the Augmented Dickey-Fuller and Pettitt's tests respectively. Then various stochastic scenarios are generated using the autoregressive moving average exogenous method (ARMAX). It is concluded that the precipitation and direct runoff have fewer effects on the suspended sediment concentration at downstream of the river. Hence the cumulative effect of the glacier or snowmelt and channel erosion may exceed the effect of rain blown washouts on the suspended sediment concentration at the Port du Scex station. It is found that the ARMAX model results are satisfactory and can be suggested for further application.
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: 8
Citation - Scopus: 10
Automated personnel-assets-consumables-drug tracking in ambulance services for more effective and efficient medical emergency interventions
(ELSEVIER IRELAND LTD, 2016-04) Semih Utku; Mehmet Hilal Ozcanhan; Mehmet Suleyman Unluturk; Unluturk, Mehmet Suleyman; Utku, Semih; Özcanhan, Mehmet Hilal
Patient delivery time is no longer considered as the only critical factor in ambulatory services. Presently five clinical performance indicators are used to decide patient satisfaction. Unfortunately the emergency ambulance services in rapidly growing metropolitan areas do not meet current satisfaction expectations, because of human errors in the management of the objects onboard the ambulances. But human involvement in the information management of emergency interventions can be reduced by electronic tracking of personnel assets consumables and drugs (PACD) carried in the ambulances. Electronic tracking needs the support of automation software which should be integrated to the overall hospital information system. Our work presents a complete solution based on a centralized database supported by radio frequency identification (RFID) and bluetooth low energy (BLE) identification and tracking technologies. Each object in an ambulance is identified and tracked by the best suited technology. The automated identification and tracking reduces manual paper documentation and frees the personnel to better focus on medical activities. The presence and amounts of the PACD are automatically monitored warning about their depletion non-presence or maintenance dates. The computerized two way hospital-ambulance communication link provides information sharing and instantaneous feedback for better and faster diagnosis decisions. A fully implemented system is presented with detailed hardware and software descriptions. The benefits and the clinical outcomes of the proposed system are discussed which lead to improved personnel efficiency and more effective interventions. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
Beyond the 'East-West' dichotomy: Global variation in cultural models of selfhood
(American Psychological Association Inc. journals@apa.org, 2016-08) Vivian L. Vignoles; Ellinor Owe; Maja Becker; Peter Bevington Smith; Matthew J. Easterbrook; Rupert James Brown; Roberto González Gutierrez; Nicolás Didier; Diego Andrés González Carrasco; María Paz Cadena
Markus and Kitayama's (1991) theory of independent and interdependent self-construals had a major influence on social personality and developmental psychology by highlighting the role of culture in psychological processes. However research has relied excessively on contrasts between North American and East Asian samples and commonly used self-report measures of independence and interdependence frequently fail to show predicted cultural differences. We revisited the conceptualization and measurement of independent and interdependent self-construals in 2 large-scale multinational surveys using improved methods for cross-cultural research. We developed (Study 1: N = 2924 students in 16 nations) and validated across cultures (Study 2: N = 7279 adults from 55 cultural groups in 33 nations) a new 7-dimensional model of self-reported ways of being independent or interdependent. Patterns of global variation support some of Markus and Kitayama's predictions but a simple contrast between independence and interdependence does not adequately capture the diverse models of selfhood that prevail in different world regions. Cultural groups emphasize different ways of being both independent and interdependent depending on individualism-collectivism national socioeconomic development and religious heritage. Our 7-dimensional model will allow future researchers to test more accurately the implications of cultural models of selfhood for psychological processes in diverse ecocultural contexts. © 2017 Elsevier B.V. All rights reserved.
Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland Turkey and South Korea
(Oxford University Press, 2021-08-08) Mert Erkan Sözen; Gorkem Sariyer; Mustafa Gökalp Ataman
We used big data analytics for exploring the relationship between government response policies human mobility trends and numbers of coronavirus disease 2019 (COVID-19) cases comparatively in Poland Turkey and South Korea. We collected daily mobility data of retail and recreation grocery and pharmacy parks transit stations workplaces and residential areas. For quantifying the actions taken by governments and making a fairness comparison between these countries we used stringency index values measured with the 'Oxford COVID-19 government response tracker'. For the Turkey case we also developed a model by implementing the multilayer perceptron algorithm for predicting numbers of cases based on the mobility data. We finally created scenarios based on the descriptive statistics of the mobility data of these countries and generated predictions on the numbers of cases by using the developed model. Based on the descriptive analysis we pointed out that while Poland and Turkey had relatively closer values and distributions on the study variables South Korea had more stable data compared to Poland and Turkey. We mainly showed that while the stringency index of the current day was associated with mobility data of the same day the current day's mobility was associated with the numbers of cases 1 month later. By obtaining 89.3% prediction accuracy we also concluded that the use of mobility data and implementation of big data analytics technique may enable decision-making in managing uncertain environments created by outbreak situations. We finally proposed implications for policymakers for deciding on the targeted levels of mobility to maintain numbers of cases in a manageable range based on the results of created scenarios. © 2022 Elsevier B.V. All rights reserved.
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.
Big data-enabled solutions framework to overcoming the barriers to circular economy initiatives in healthcare sector
(MDPI, 2021-07-14) Yigit Kazancoglu; Muhittin Saǧnak; Çisem Lafci; Sunil Luthra; Anil Kumar; Caner Taçoğlu
Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system and to maintain its processes effectively. In the healthcare sector the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials increased energy use and its environmental burden. In this context circularity and sustainability concepts have become essential in healthcare to meliorate the sector’s negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector apply big data analytics in healthcare and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation and a proposal for a big data-enabled solutions framework to barriers to circularity using fuzzy bestworst Method (BWM) and fuzzy VIKOR. Based on the findings managerial policy and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector. © 2021 Elsevier B.V. All rights reserved.
BUYER SELLER NEGOTIATIONS: A COMPARISON OF DOMESTIC AND INTERNATIONAL CONDITIONS IN A PILOT STUDY WITH INTERNATIONAL BUSINESS STUDENTS
(SAGE PUBLICATIONS INC, 2010-06) Guelcimen Yurtsever; Gizem Kurt; Gungor Hacioglu; Hacioglu, Gungor; Yurtsever, Guelcimen; Kurt, Gizem
This study examined the differences and similarities between domestic and international negotiations using Kelley's Negotiation Game to measure the profit achieved. There were 58 participants in the international negotiation sample 29 Turkish and 29 European students. There were 62 Turkish students in the domestic negotiations. All participants studied business or related topics at a university in Izmir. Student t tests indicated statistically significant differences in scores on misrepresentation of information interpersonal attraction peer evaluation of misrepresentation information and satisfaction between domestic and international negotiations.
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: 29
Citation - Scopus: 33
Circular dairy supply chain management through Internet of Things-enabled technologies
(Springer Science and Business Media Deutschland GmbH, 2022-01-06) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Anil Kumar; Sunil Luthra; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kumar, Anil; Luthra, Sunil; Kazancoglu, Yigit
Internet of Things-enabled technologies help to collect data and make it understandable especially in supply chain processes thus minimizing the problems that may arise in supply chains. It is extremely important to support this process with Internet of Things-enabled technologies especially in supply chains that are vulnerable to disruptions such as the dairy supply chain. Moreover dairy supply chains are the type of supply chains where the most waste is generated, evaluating this waste is very beneficial to the circular economy. Therefore monitoring data in dairy supply chains and using Internet of Things-enabled technologies prevent losses, it is critical to have Internet of Things-enabled circular dairy supply chains in operation. The aim of this study is to determine the success factors of Internet of Things-enabled circular dairy supply chains based on the various stages of these chains, we hope to match each dairy supply chain stage with a success factor of Internet of Things-enabled technology and determine a ranking for these factors. Hence six success factors of Internet of Things-enabled circular supply chains are weighted for each stage of the chain, Internet of Things-enabled digital technologies are then matched with each stage of the chain and the success factor is determined. The ranking of factors can then be drawn up through the integration of Step Wise Weight Assessment Ratio Analysis (SWARA) and Technique for Order Preference Similar to Ideal Solution (TOPSIS). The outcome of this study will provide managers and policy makers with insights into Internet of Things-enabled circular dairy supply chains. © 2021 Elsevier B.V. All rights reserved.
Cognitive reserve and emotional stimuli in older individuals: Level of education moderates the age-related positivity effect
(Taylor and Francis Inc. 325 Chestnut St Suite 800 Philadelphia PA 19106, 2014-03-13) Davide Bruno; Adam D. Brown; Aycan Kapucu Eryar; Charles Raymond Marmar; Nunzio Pomara
Background/Study Context: A frequently observed age-related effect is a preference in older individuals for positive stimuli. The cognitive control model proposes that this positivity effect may be mediated by executive functions. We propose that cognitive reserve operationally defined as years of education which tempers cognitive decline and has been linked to executive functions should also influence the age-related positivity effect especially as age advances. Methods: An emotional free recall test was administered to a group of 84 cognitively intact individuals aged 60 to 88 who varied in years of education. As part of a larger test battery data were obtained on measures of executive functioning and depression. Results: Multiple regression and moderation analyses were performed controlling for general cognitive function severity of depressive symptoms and executive function. In our data years of education appeared to moderate the effect of age on the positivity effect, age was negatively associated with recall of positive words in participants with fewer years of education whereas a nonsignificant positive correlation was observed between age and positivity in participants with more education. Conclusion: Cognitive reserve appears to play a role in explaining individual differences in the positivity effect in healthy older individuals. Future studies should investigate whether cognitive reserve is also implicated in the ability to process a wide range of emotional stimuli and whether greater reserve is reflected in improved emotional regulation. © Copyright © Taylor & Francis Group LLC. © 2014 Elsevier B.V. All rights reserved.
Citation - Scopus: 71
Comparison of AR and Welch methods in epileptic seizure detection
(2006-11-03) Ahmet Alkan; Mahmut Kemal Kıymık; Alkan, Ahmet; Kiymik, M. Kemal
Brain is one of the most critical organs of the body. Synchronous neuronal discharges generate rhythmic potential fluctuations which can be recorded from the scalp through electroencephalography. The electroencephalogram (EEG) can be roughly defined as the mean electrical activity measured at different sites of the head. EEG patterns correlated with normal functions and diseases of the central nervous system. In this study EEG signals were analyzed by using autoregressive (parametric) and Welch (non-parametric) spectral estimation methods. The parameters of autoregressive (AR) method were estimated by using Yule-Walker covariance and modified covariance methods. EEG spectra were then used to compare the applied estimation methods in terms of their frequency resolution and the effects in determination of spectral components. The variations in the shape of the EEG power spectra were examined in order to epileptic seizures detection. Performance of the proposed methods was evaluated by means of power spectral densities (PSDs). Graphical results comparing the performance of the proposed methods with that of Welch technique were given. The results demonstrate consistently superior performance of the covariance methods over Yule-Walker AR and Welch methods. © 2006 Springer Science+Business Media Inc. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.
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.
Cross-cultural data on romantic love and mate preferences from 117.293 participants across 175 countries
(Nature Research, 2025-07-01) Marta Kowal; Piotr Sorokowski; Biljana Gjoneska; Katarzyna Pisanski; Gerit Pfuhl; Leonardo A. Aguilar; Steve M.J. Janssen; Benjamin Gelbart; Patrícia Paula Lourenço Arriaga; Jan Antfolk
Psychological studies on close relationships have often overlooked cultural diversity dynamic processes and potentially universal principles that shape intimate partnerships. To address the limited generalizability of previous research and advance our understanding of romantic love experiences mate preferences and physical attractiveness we conducted a large-scale cross-cultural survey study on these topics. A total of 404 researchers collected data in 45 languages from April to August 2021 involving 117293 participants from 175 countries. Aside from standard demographic questions the survey included valuable information on variables relevant to romantic relationships: intimate passionate and committed love within romantic relationships physical-attractiveness enhancing behaviors gender equality endorsement collectivistic attitudes personal history of pathogenic diseases relationship quality jealousy personal involvement in sexual and/or emotional infidelity relational mobility mate preferences and acceptance of sugar relationships. The resulting dataset provides a rich resource for investigating patterns within and associations across a broad range of variables relevant to romantic relationships with extensive opportunities to analyze individual experiences worldwide. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 55
Citation - Scopus: 65
Cultural Bases for Self-Evaluation: Seeing Oneself Positively in Different Cultural Contexts
(SAGE Publications Inc. claims@sagepub.com, 2014-02-12) Maja Becker; Vivian L. Vignoles; Ellinor Owe; Matthew J. Easterbrook; Rupert James Brown; Peter Bevington Smith; Michael Harris Bond; Camillo Regalia; Claudia Manzi; Maria Brambilla; Easterbrook, Matthew J.; Vignoles, Vivian L.; Koller, Silvia H.; Brown, Rupert; Owe, Ellinor; Smith, Peter B.; Becker, Maja
Several theories propose that self-esteem or positive self-regard results from fulfilling the value priorities of one's surrounding culture. Yet surprisingly little evidence exists for this assertion and theories differ about whether individuals must personally endorse the value priorities involved. We compared the influence of four bases for self-evaluation (controlling one's life doing one's duty benefitting others achieving social status) among 4852 adolescents across 20 cultural samples using an implicit within-person measurement technique to avoid cultural response biases. Cross-sectional and longitudinal analyses showed that participants generally derived feelings of self-esteem from all four bases but especially from those that were most consistent with the value priorities of others in their cultural context. Multilevel analyses confirmed that the bases of positive self-regard are sustained collectively: They are predictably moderated by culturally normative values but show little systematic variation with personally endorsed values. © 2014 by the Society for Personality and Social Psychology Inc. © 2019 Elsevier B.V. All rights reserved.
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.

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