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) 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: 1
Citation - Scopus: 1
A preliminary study on the role of personal history of infectious and parasitic diseases on self-reported health across countries
(Elsevier B.V., 2025) Gerit Pfuhl; Filipe Prazeres; Marta Kowal; Toivo Aavik; Beatriz Abad-Villaverde; Reza Afhami; Leonardo A. Aguilar; Grace A. Akello; Laith Al-Shawaf; Jan Antfolk; Aavik, Toivo; Kowal, Marta; Afhami, Reza; Prazeres, Filipe; Abad-Villaverde, Beatriz; Pfuhl, Gerit; Sorokowski, Piotr
Objectives: Infectious diseases are often associated with decline in quality of life. The aim of this study is to analyze the relationship between personal history of communicable i.e. infectious and parasitic diseases and self-rated health. Study design: Secondary analysis of a large dataset multi-country observational study. Methods: We used a four-pronged analysis approach to investigate whether personal history of infectious and parasitic diseases is related to self-reported health measured with a single item. Results: Three of the four analyses found a small positive effect on self-reported health among those reporting a history of pathogen exposure. The meta-analysis found no support but large heterogeneity that was not reduced by two classifications of countries. Conclusion: Personal history of infectious and parasitic diseases does not reduce self-reported health across a global sample. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 15
Citation - Scopus: 23
A review of ADHD detection studies with machine learning methods using rsfMRI data
(John Wiley and Sons Ltd, 2024) Gürcan Taşpinar; Nalan Ǒzkurt; Taspinar, Gurcan; Ozkurt, Nalan
Attention deficit hyperactivity disorder (ADHD) is a common mental health condition that significantly affects school-age children causing difficulties with learning and daily functioning. Early identification is crucial and reliable and objective diagnostic tools are necessary. However current clinical evaluations of behavioral symptoms can be inconsistent and subjective. Functional magnetic resonance imaging (fMRI) is a non-invasive technique that has proven effective in detecting brain abnormalities in individuals with ADHD. Recent studies have shown promising outcomes in using resting state fMRI (rsfMRI)-based brain functional networks to diagnose various brain disorders including ADHD. Several review papers have examined the detection of other diseases using fMRI data and machine learning or deep learning methods. However no review paper has specifically addressed ADHD. Therefore this study aims to contribute to the literature by reviewing the use of rsfMRI data and machine learning methods for detection of ADHD. The study provides general information about fMRI databases and detailed knowledge of the ADHD-200 database which is commonly used for ADHD detection. It also emphasizes the importance of examining all stages of the process including network and atlas selection feature extraction and feature selection before the classification stage. The study compares the performance advantages and disadvantages of previous studies in detail. This comprehensive approach may be a useful starting point for new researchers in this area. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 7
Citation - Scopus: 6
Alternative electron sinks in chloroplasts and mitochondria of halophytes as a safety valve for controlling ROS production during salinity
(John Wiley and Sons Inc, 2024) Nil Demircan; Mustafa Cemre Sonmez; Turgut Yigit Akyol; Rengin Özgür Uzilday; I. Turkan; Karl Josef Dietz; B. Uzilday; Dietz, Karl-Josef; Uzilday, Baris; Demircan, Nil; Ozgur, Rengin; Turkan, Ismail; Akyol, Turgut Yigit; Sonmez, Mustafa Cemre
Electron flow through the electron transport chain (ETC) is essential for oxidative phosphorylation in mitochondria and photosynthesis in chloroplasts. Electron fluxes depend on environmental parameters e.g. ionic and osmotic conditions and endogenous factors and this may cause severe imbalances. Plants have evolved alternative sinks to balance the reductive load on the electron transport chains in order to avoid overreduction generation of reactive oxygen species (ROS) and to cope with environmental stresses. These sinks act primarily as valves for electron drainage and secondarily as regulators of tolerance-related metabolism utilizing the excess reductive energy. High salinity is an environmental stressor that stimulates the generation of ROS and oxidative stress which affects growth and development by disrupting the redox homeostasis of plants. While glycophytic plants are sensitive to high salinity halophytic plants tolerate grow and reproduce at high salinity. Various studies have examined the ETC systems of glycophytic plants however information about the state and regulation of ETCs in halophytes under non-saline and saline conditions is scarce. This review focuses on alternative electron sinks in chloroplasts and mitochondria of halophytic plants. In cases where information on halophytes is lacking we examined the available knowledge on the relationship between alternative sinks and gradual salinity resilience of glycophytes. To this end transcriptional responses of involved components of photosynthetic and respiratory ETCs were compared between the glycophyte Arabidopsis thaliana and the halophyte Schrenkiella parvula and the time-courses of these transcripts were examined in A. thaliana. The observed regulatory patterns are discussed in the context of reactive molecular species formation in halophytes and glycophytes. © 2024 Elsevier B.V. All rights reserved.
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) 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) 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) 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: 15
Citation - Scopus: 18
Analyzing main and interaction effects of length of stay determinants in emergency departments
(Kerman University of Medical Sciences j_mahdavi@kmu.ac.ir, 2020) Gorkem Sariyer; Mustafa Gökalp Ataman; İlker Kızıloğlu; Ataman, Mustafa Gokalp; Sariyer, Gorkem; Kiziloglu, Ilker
Background: Measuring and understanding main determinants of length of stay (LOS) in emergency departments (EDs) is critical from an operations perspective since LOS is one of the main performance indicators of ED operations. Therefore this study analyzes both the main and interaction effects of four widely-used independent determinants of ED-LOS. Methods: The analysis was conducted using secondary data from an ED of a large urban hospital in Izmir Turkey. Between-subject factorial analysis of variance (ANOVA) was used to test the main and interaction effects of the corresponding factors. P values <.05 were considered statistically significant. Results: While the main effect of gender was insignificant age mode of arrival and clinical acuity had significant effects whereby ED-LOS was significantly higher for the elderly those arriving by ambulance and clinically-categorized high-acuity patients. Additionally there was an interaction between the age and clinical acuity in that while ED-LOS increased with age for high acuity patients the opposite trend occurred for low acuity patients. When ED-LOS was modeled using gender age and mode of arrival there was a significant interaction between age and mode of arrival. However this interaction was not significant when the model included age mode of arrival and clinical acuity. Conclusion: Significant interactions exist between commonly used ED-LOS determinants. Therefore interaction effects should be considered in analyzing and modelling ED-LOS. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 227
Citation - Scopus: 248
Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review
(PERGAMON-ELSEVIER SCIENCE LTD, 2022) Valerie van Mulukom; Lotte J. Pummerer; Sinan Alper; Hui Bai; Vladimira Cavojova; Jessica Farias; Cameron S. Kay; Ljiljana B. Lazarevic; Emilio J. C. Lobato; Gaelle Marinthe; Irena Pavela Banai; Jakub Srol; Iris Zezelj; Cavojova, Vladimira; Pummerer, Lotte J.; Zezelj, Iris; Bai, Hui; Farias, Jessica; van Mulukom, Valerie; Alper, Sinan
Rationale: Belief in COVID-19 conspiracy theories can have severe consequences, it is therefore crucial to understand this phenomenon in its similarities with general conspiracy belief but also in how it is context dependent. Objective: The aim of this systematic review is to provide a comprehensive overview of the available research on COVID-19 conspiracy beliefs and to synthesise this research to make it widely accessible. Methods: We present a synthesis of COVID-19 conspiracy belief research from 85 international articles identified and appraised through a systematic review in line with contemporary protocols and guidelines for systematic reviews. Results: We identify a number of potential antecedents of COVID-19 conspiracy beliefs (individual differences personality traits demographic variables attitudes thinking styles and biases group identity trust in authorities and social media use) their consequences (protective behaviours self-centred and misguided behaviours such as hoarding and pseudoscientific health practices vaccination intentions psychological wellbeing and other negative social consequences such as discrimination and violence) and the effect sizes of their relations with the conspiracy beliefs. Conclusions: We conclude that understanding both the potential antecedents and consequences of conspiracy beliefs and how they are context-dependent is highly important to tackle them whether in the COVID-19 pandemic or future threats such as that of climate change.
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) 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: 389
Citation - Scopus: 439
Beyond the 'East-West' Dichotomy: Global Variation in Cultural Models of Selfhood
(AMER PSYCHOLOGICAL ASSOC, 2016) Vivian L. Vignoles; Ellinor Owe; Maja Becker; Peter B. Smith; Matthew J. Easterbrook; Rupert Brown; Roberto Gonzalez; Nicolas Didier; Diego Carrasco; Maria Paz Cadena; Siugmin Lay; Seth J. Schwartz; Sabrina E. Des Rosiers; Juan A. Villamar; Alin Gavreliuc; Martina Zinkeng; Robert Kreuzbauer; Peter Baguma; Mariana Martin; Alexander Tatarko; Ginette Herman; Isabelle de Sauvage; Marie Courtois; Ragna B. Gardarsdottir; Charles Harb; Inge Schweiger Gallo; Paula Prieto Gil; Raquel Lorente Clemares; Gabriella Campara; George Nizharadze; Ma. Elizabeth J. Macapagal; Baland Jalal; David Bourguignon; Jianxin Zhang; Shaobo Lv; Aneta Chybicka; Masaki Yuki; Xiao Zhang; Agustin Espinosa; Aune Valk; Sami Abuhamdeh; Benjamin Amponsah; Emre Ozgen; E. Ulku Guner; Nil Yamakoglu; Phatthanakit Chobthamkit; Tom Pyszczynski; Pelin Kesebir; Elvia Vargas Trujillo; Paola Balanta; Boris Cendales Ayala; Silvia H. Koller; Jas Laile Jaafar; Nicolay Gausel; Ronald Fischer; Taciano L. Milfont; Ersin Kusdil; Selinay Caglar; Said Aldhafri; M. Cristina Ferreira; Kassahun Habtamu Mekonnen; Qian Wang; Marta Fulop; Ana Torres; Leoncio Camino; Flavia Cristina Silveira Lemos; Immo Fritsche; Bettina Moeller; Camillo Regalia; Claudia Manzi; Maria Brambilla; Michael Harris Bond; Easterbrook, Matthew J.; Vignoles, Vivian L.; Bond, Michael Harris; Brown, Rupert; Owe, Ellinor; Smith, Peter B.; Becker, Maja
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.
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) 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: 12
Citation - Scopus: 16
Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland- Turkey and South Korea
(OXFORD UNIV PRESS, 2022) Mert Erkan Sozen; Gorkem Sariyer; Mustafa Gokalp Ataman; Ataman, Mustafa Gökalp; Sarlyer, Görkem; Sariyer, Gorkem; Sözen, Mert Erkan
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.
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, 2023) 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.
Citation - WoS: 27
Citation - Scopus: 47
Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector
(MDPI, 2021) Yigit Kazancoglu; Muhittin Sagnak; Cisem Lafci; Sunil Luthra; Anil Kumar; Caner Tacoglu; Luthra, Sunil; Kumar, Anil; Lafcı, Çisem; Taçoğlu, Caner; Kazançoğlu, Yiğit; Sağnak, Muhittin
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 best-worst 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.
Citation - WoS: 2
Citation - Scopus: 2
Carbon Footprint of Food Production: A Systematic Review and Meta-Analysis
(Nature Portfolio, 2025) 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) 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: 47
Childhood Emotional Abuse and Cyberbullying Perpetration: The Role of Dark Personality Traits
(SAGE Publications Inc., 2021) 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: 10
Citation - Scopus: 15
Cognitive Reserve and Emotional Stimuli in Older Individuals: Level of Education Moderates the Age-Related Positivity Effect
(TAYLOR & FRANCIS INC, 2014) Davide Bruno; Adam D. Brown; Aycan Kapucu; Charles R. Marmar; Nunzio Pomara; Pomara, Nunzio; Marmar, Charles R.; Bruno, Davide; Kapucu, Aycan; Brown, Adam D.
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.
Citation - WoS: 26
Citation - Scopus: 25
Compensatory usage of the internet: The case of mukbang watching on youtube
(Korean Neuropsychiatric Association, 2021) 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.

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