WoS İndeksli Yayınlar Koleksiyonu
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Browsing WoS İndeksli Yayınlar Koleksiyonu by Publication Index "PubMed"
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Article Citation - WoS: 8Citation - Scopus: 9A 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, AliExisting 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.Article Citation - WoS: 1Citation - Scopus: 1A 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, PiotrObjectives: 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.Article Citation - WoS: 15Citation - Scopus: 23A 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, NalanAttention 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.Article Citation - WoS: 2Citation - Scopus: 6A robotic system to prepare IV solutions(Elsevier Ireland Ltd, 2018) Mehmet Suleyman Ünlütürk; Özgür Tamer; Semih Utku; Unluturk, Mehmet S.; Tamer, Ozgur; Utku, SemihDrugs need to be used regularly and correctly in order to be effective. When medicines are used correctly negativities that threaten human health and life can be avoided but they can cause unwanted situations that can occur until the end of life when they are used incorrectly. The most common drug administration errors in hospitals are: The wrong dosage of the drug given to the patient the timing and / or the method of administration the wrong drug given to the patient the drug given to the wrong patient or even not given. Furthermore the information about the drug that is administered to the patient may not be registered at all. In this research a robotic drug preparation system and a communication server accepting prescription orders have been developed. Component engineering methodology is further utilized in the design of the Drug Preparation System to maximize reuse increase product reliability reduce design code and test efforts. The IV Robotic Drug Preparation Robot is composed of a robotic work station and a Cartesian carrier to carry the work station to the desired location. The robotic work station has several grippers to handle syringes to pull the piston of the syringe and to lock the closed system connector to the vial. The IV Robotic Drug Preparation System and communication server are developed and being used in the hospitals. Due to this system medicines left unused in vials can be used and a great amount of savings is obtained from the drug purchases. © 2018 Elsevier B.V. All rights reserved.Article Citation - WoS: 2Citation - Scopus: 3A stochastic approach for the assessment of suspended sediment concentration at the Upper Rhone River basin- Switzerland(SPRINGER HEIDELBERG, 2022) Babak Vaheddoost; Saeed Vazifehkhah; Mir Jafar Sadegh Safari; Vaheddoost, Babak; Vazifehkhah, Saeed; Safari, Mir Jafar SadeghThis 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.Article Citation - WoS: 1Citation - Scopus: 2Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks(IEEE COMPUTER SOC, 2018) Neslihan Avcu; Nihal Pekergin; Ferhan Pekergin; Cuneyt Guzelis; Pekergin, Nihal; Pekergin, Ferhan; Avcu, Neslihan; Guzelis, CuneytThis paper proposes aggregation-based three-stage algorithms to overcome the numerical problems encountered in computing stationary distributions and mean first passage times for multi-modal birth-death processes of large state space sizes. The considered birth-death processes which are defined by Chemical Master Equations are used in modeling stochastic behavior of gene regulatory networks. Computing stationary probabilities for a multi-modal distribution from Chemical Master Equations is subject to have numerical problems due to the probability values running out of the representation range of the standard programming languages with the increasing size of the state space. The aggregation is shown to provide a solution to this problem by analyzing first reduced size subsystems in isolation and then considering the transitions between these subsystems. The proposed algorithms are applied to study the bimodal behavior of the lac operon of E. coli described with a one-dimensional birth-death model. Thus the determination of the entire parameter range of bimodality for the stochastic model of lac operon is achieved.Review Citation - WoS: 7Citation - Scopus: 6Alternative 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 CemreElectron 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.Article Citation - WoS: 20Citation - Scopus: 26An 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, ZeynepObjective: 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/).Article 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, AhmetThe 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.Article Citation - WoS: 114Citation - Scopus: 118Analysis 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, MajedThe 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.Article Citation - WoS: 15Citation - Scopus: 14Analysis of the learning curve for robotic hysterectomy for benign gynaecological disease(John Wiley and Sons Ltd, 2014) Fatih Şendaǧ; Burak Zeybek; Ali Osman Akdemir; Banu Ozgurel; Kemal Öztekin; Akdemir, Ali; Ozgurel, Banu; Oztekin, Kemal; Zeybek, Burak; Sendag, FatihBackground: The objective was to evaluate the learning curve for performing a robotic hysterectomy to treat benign gynaecological disease. Methods: Thirty-six patients underwent robotic hysterectomy for benign indications. A systematic chart review of consecutive cases was conducted. The collected data included age BMI operating time set-up time docking time uterine weight blood loss intraoperative complications postoperative complications conversions to laparotomy and length of hospital stay. Results: The mean operating set-up and docking times were 169±54.5 52.9±12.4 and 7.8±7.6min respectively. The learning curve analysis revealed a decrease in both docking and operating times with both curves plateauing after case 9. Conclusions: The learning curve analysis revealed a decrease in docking time and operating time after case 9 suggesting that there might be a fast learning curve for experienced laparoscopic surgeons to master robotic hysterectomy and that the docking process does not have a significant negative influence on the overall operating time. © 2022 Elsevier B.V. All rights reserved.Article Citation - WoS: 15Citation - Scopus: 18Analyzing 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, IlkerBackground: 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.Review Citation - WoS: 227Citation - Scopus: 248Antecedents 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, SinanRationale: 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.Article Citation - WoS: 6Citation - Scopus: 7Are 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, YiğitUrban 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.Article Citation - WoS: 8Citation - Scopus: 10Automated personnel-assets-consumables-drug tracking in ambulance services for more effective and efficient medical emergency interventions(ELSEVIER IRELAND LTD, 2016) Semih Utku; Mehmet Hilal Ozcanhan; Mehmet Suleyman Unluturk; Unluturk, Mehmet Suleyman; Utku, Semih; Özcanhan, Mehmet HilalPatient 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.Article Citation - WoS: 389Citation - Scopus: 439Beyond 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, MajaMarkus 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.Article Citation - WoS: 6Citation - Scopus: 7Bifurcation 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, NeslihanMost 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.Article Citation - WoS: 12Citation - Scopus: 16Big 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 ErkanWe 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.Article Citation - WoS: 10Citation - Scopus: 13Big 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, YigitGrounded 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.Article Citation - WoS: 27Citation - Scopus: 47Big 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, MuhittinEver-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.
