PubMed İndeksli Yayınlar Koleksiyonu

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Citation Count: 31
Acculturation Attitudes and Social Adjustment in British South Asian Children: A Longitudinal Study
(Sage Publications Inc, 2013) Baysu, Gülseli; Baysu, Gülseli; Cameron, Lindsey; Nigbur, Dennis; Rutland, Adam; Watters, Charles; Hossain, Rosa; LeTouze, Dominique; Landau, Anick
A 1-year longitudinal study with three testing points was conducted with 215 British Asian children aged 5 to 11 years to test hypotheses from Berry's acculturation framework. Using age-appropriate measures of acculturation attitudes and psychosocial outcomes it was found that (a) children generally favored an integrationist attitude and this was more pronounced among older (8-10 years) than in younger (5-7 years) children and (b) temporal changes in social self-esteem and peer acceptance were associated with different acculturation attitudes held initially as shown by latent growth curve analyses. However a supplementary time-lagged regression analysis revealed that children's earlier integrationist attitudes may be associated with more emotional symptoms (based on teachers' ratings) 6 months later. The implications of these different outcomes of children's acculturation attitudes are discussed.
Citation Count: 4
Addressing climate change with behavioral science: A global intervention tournament in 63 countries
(Amer Assoc Advancement Science, 2024) Vlasceanu, Madalina; Doell, Kimberly C.; Bak-Coleman, Joseph B.; Todorova, Boryana; Berkebile-Weinberg, Michael M.; Grayson, Samantha J.; Van Bavel, Jay J.
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions' effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior-several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people's initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.
Citation Count: 13
Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik
(Jmır Publıcatıons, Inc, 130 Queens Quay E, 2020) Aydın, Mehmet Nafiz; Aydın, Mehmet Nafiz; Akdur, Gizdem
Background: Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey's most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective: The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods: We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results: Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions: This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform's dietitians to ensure that users' interactions with the dietitians are based on trust for the platform and the brand.
Citation Count: 30
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
(Elsevier Ireland Ltd, 2023) Aminizadeh, Sarina; Heidari, Arash; Toumaj, Shiva; Darbandi, Mehdi; Navimipour, Nima Jafari; Rezaei, Mahsa; Talebi, Samira
Medical data processing has grown into a prominent topic in the latest decades with the primary goal of maintaining patient data via new information technologies, including the Internet of Things (IoT) and sensor technologies, which generate patient indexes in hospital data networks. Innovations like distributed computing, Machine Learning (ML), blockchain, chatbots, wearables, and pattern recognition can adequately enable the collection and processing of medical data for decision-making in the healthcare era. Particularly, to assist experts in the disease diagnostic process, distributed computing is beneficial by digesting huge volumes of data swiftly and producing personalized smart suggestions. On the other side, the current globe is confronting an outbreak of COVID-19, so an early diagnosis technique is crucial to lowering the fatality rate. ML systems are beneficial in aiding radiologists in examining the incredible amount of medical images. Nevertheless, they demand a huge quantity of training data that must be unified for processing. Hence, developing Deep Learning (DL) confronts multiple issues, such as conventional data collection, quality assurance, knowledge exchange, privacy preservation, administrative laws, and ethical considerations. In this research, we intend to convey an inclusive analysis of the most recent studies in distributed computing platform applications based on five categorized platforms, including cloud computing, edge, fog, IoT, and hybrid platforms. So, we evaluated 27 articles regarding the usage of the proposed framework, deployed methods, and applications, noting the advantages, drawbacks, and the applied dataset and screening the security mechanism and the presence of the Transfer Learning (TL) method. As a result, it was proved that most recent research (about 43%) used the IoT platform as the environment for the proposed architecture, and most of the studies (about 46%) were done in 2021. In addition, the most popular utilized DL algorithm was the Convolutional Neural Network (CNN), with a percentage of 19.4%. Hence, despite how technology changes, delivering appropriate therapy for patients is the primary aim of healthcare-associated departments. Therefore, further studies are recommended to develop more functional architectures based on DL and distributed environments and better evaluate the present healthcare data analysis models.
Citation Count: 4
Asymmetric phase diagrams, algebraically ordered Berezinskii-Kosterlitz-Thouless phase, and peninsular Potts flow structure in long-range spin glasses
(Amer Physical Soc, 2022) Gurleyen, S. Efe; Berker, A. Nihat
The Ising spin-glass model on the three-dimensional (d = 3) hierarchical lattice with long-range ferromagnetic or spin-glass interactions is studied by the exact renormalization-group solution of the hierarchical lattice. The chaotic characteristics of the spin-glass phases are extracted in the form of our calculated, in this case continuously varying, Lyapunov exponents. Ferromagnetic long-range interactions break the usual symmetry of the spin-glass phase diagram. This phase-diagram symmetry breaking is dramatic, as it is underpinned by renormalization-group peninsular flows of the Potts multicritical type. A Berezinskii-Kosterlitz-Thouless (BKT) phase with algebraic order and a BKT-spin-glass phase transition with continuously varying critical exponents are seen. Similarly, for spin-glass long-range interactions, the Potts mechanism is also seen, by the mutual annihilation of stable and unstable fixed distributions causing the abrupt change of the phase diagram. On one side of this abrupt change, two distinct spin-glass phases, with finite (chaotic) and infinite (chaotic) coupling asymptotic behaviors are seen with a spin-glass to spin-glass phase transition.
Citation Count: 1
Author Correction: National identity predicts public health support during a global pandemic (Nature Communications, (2022), 13, 1, (517), 10.1038/s41467-021-27668-9)
(Nature Research, 2022) Van, Bavel, J.J.; Cichocka, A.; Capraro, V.; Sjåstad, H.; Nezlek, J.B.; Pavlovi?, T.; Alfano, M.
In this article the author name ‘Agustin Ibanez’ was incorrectly written as ‘Augustin Ibanez’. The original article has been corrected. © The Author(s) 2022.
Citation Count: 45
Banking sector reactions to COVID-19: The role of bank-specific factors and government policy responses
(Elsevier, 2021) Demir, Ender; Danisman, Gamze Ozturk
This paper examines the impact of bank-specific factors and variations in the context of stringency of government policy responses on bank stock returns because of the COVID-19 pandemic. A sample of 1,927 publicly listed banks from 110 countries is used for the period of the first major wave of COVID-19, that is, January to May 2020. Our findings indicate that stock returns of banks with higher capitalization and deposits, more diversification, lower non-performing loans, and larger size are more resilient to the pandemic. While banks' environment and governance scores do not have a significant impact, higher social and corporate social responsibility strategy scores intensify the negative stock price reaction to COVID-19. We further observe that the pandemic induced reduction in bank stock prices is mitigated as the strictness of government policy responses increases, mainly through economic responses such as income support, debt and contract relief, and fiscal measures from governments.
Citation Count: 54
BEAMS: backbone extraction and merge strategy for the global many-to-many alignment of multiple PPI networks
(Oxford University Press, 2014) Erten, Cesim; Erten, Cesim
Motivation: Global many-to-many alignment of biological networks has been a central problem in comparative biological network studies. Given a set of biological interaction networks the informal goal is to group together related nodes. For the case of protein-protein interaction networks such groups are expected to form clusters of functionally orthologous proteins. Construction of such clusters for networks from different species may prove useful in determining evolutionary relationships in predicting the functions of proteins with unknown functions and in verifying those with estimated functions. Results: A central informal objective in constructing clusters of orthologous proteins is to guarantee that each cluster is composed of members with high homological similarity usually determined via sequence similarities and that the interactions of the proteins involved in the same cluster are conserved across the input networks. We provide a formal definition of the global many-to-many alignment of multiple protein-protein interaction networks that captures this informal objective. We show the computational intractability of the suggested definition. We provide a heuristic method based on backbone extraction and merge strategy (BEAMS) for the problem. We finally show through experiments based on biological significance tests that the proposed BEAMS algorithm performs better than the state-of-the-art approaches. Furthermore the computational burden of the BEAMS algorithm in terms of execution speed and memory requirements is more reasonable than the competing algorithms.
Citation Count: 4
Beyond sightseeing: How can tourism affect public/global health in modern society?
(Int Soc Global Health, 2022) Kozak, Metin; Kozak, Metin; Jiang, Yangyang
[Abstract Not Available]
Citation Count: 4
Beyond sightseeing: How can tourism affect public/global health in modern society?
(University of Edinburgh, 2022) Kozak, Metin; Kozak,M.; Jiang,Y.
[No abstract available]
Citation Count: 2
Biased perceptions against female scientists affect intentions to get vaccinated for COVID-19
(Sage Publications Ltd, 2022) Dogan, Isminaz; Baruh, Lemi; Cemalcilar, Zeynep; Kuru, Ozan; Yildirim, Kerem; Carkoglu, Ali
Based on role congruity theory, we investigated how gender bias may influence public attitudes toward the vaccine in Turkey. Using a between-subjects design, we tested whether an emphasis on the female versus the male scientist as the vaccine's inventor in a news story influenced attitudes about the BioNTech vaccine and vaccination intentions. Partly confirming role congruity theory, three-way interaction results from 665 participants demonstrated that among male participants with a stronger belief in traditional gender roles (compared to males with lower belief), the presence of the female inventor, either by herself or together with the male inventor, decreased the perceived efficacy and safety of the vaccine and reduced intentions to be vaccinated by the BioNTech vaccine. We did not observe such differences for women. These findings highlight how gender bias may influence individuals' information processing and decision making in a way that may have negative consequences for public health.
Citation Count: 18
Biodegradable Piezoelectric Polymers: Recent Advancements in Materials and Applications
(Wiley, 2023) Istıf, Emın; Bathaei, Mohammad Javad; Istif, Emin; Karimi, Seyed Nasir Hosseini; Beker, Levent
Recent materials, microfabrication, and biotechnology improvements have introduced numerous exciting bioelectronic devices based on piezoelectric materials. There is an intriguing evolution from conventional unrecyclable materials to biodegradable, green, and biocompatible functional materials. As a fundamental electromechanical coupling material in numerous applications, novel piezoelectric materials with a feature of degradability and desired electrical and mechanical properties are being developed for future wearable and implantable bioelectronics. These bioelectronics can be easily integrated with biological systems for applications, including sensing physiological signals, diagnosing medical problems, opening the blood-brain barrier, and stimulating healing or tissue growth. Therefore, the generation of piezoelectricity from natural and synthetic bioresorbable polymers has drawn great attention in the research field. Herein, the significant and recent advancements in biodegradable piezoelectric materials, including natural and synthetic polymers, their principles, advanced applications, and challenges for medical uses, are reviewed thoroughly. The degradation methods of these piezoelectric materials through in vitro and in vivo studies are also investigated. These improvements in biodegradable piezoelectric materials and microsystems could enable new applications in the biomedical field. In the end, potential research opportunities regarding the practical applications are pointed out that might be significant for new materials research.
Citation Count: 15
Biomarkers of Secondhand Smoke Exposure in Waterpipe Tobacco Venue Employees in Istanbul Moscow and Cairo
(Oxford University Press, 2018) Çarkoğlu, Aslı; Rule, Ana M.; Magid, Hoda; Ferguson, Jacqueline; Susan, Jolie; Sun, Zhuolu; Torrey, Christine; Abubaker, Salahaddin; Levshin, Vladimir; Çarkoğlu, Aslı; Radwan, Ghada Nasr; El-Rabbat, Maha; Cohen, Joanna E.; Strickland, Paul; Breysse, Patrick N.; Navas-Acien, Ana
Background: Most smoke-free legislation to reduce secondhand smoke (SHS) exposure exempts waterpipe (hookah) smoking venues. Few studies have examined SHS exposure in waterpipe venues and their employees. Methods: We surveyed 276 employees of 46 waterpipe tobacco venues in Istanbul Moscow and Cairo. We interviewed venue managers and employees and collected biological samples from employees to measure exhaled carbon monoxide (CO) hair nicotine saliva cotinine urine cotinine urine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and urine 1-hydroxypyrene glucuronide (1-OHPG). We estimated adjusted geometric mean ratios (GMR) of each SHS biomarker by employee characteristics and indoor air SHS measures. Results: There were 73 nonsmoking employees and 203 current smokers of cigarettes or waterpipe. In nonsmokers the median (interquartile) range concentrations of SHS biomarkers were 1.1 (0.2 40.9) mu g/g creatinine urine cotinine 5.5 (2 15) ng/mL saliva cotinine 0.95 (0.36 5.02) ng/mg hair nicotine 1.48 (0.98 3.97) pg/mg creatinine urine NNAL 0.54 (0.25 0.97) pmol/mg creatinine urine 1-OHPG and 1.67 (1.33 2.33) ppm exhaled CO. An 8-hour increase in work hours was associated with higher urine cotinine (GMR: 1.68 95% CI: 1.20 2.37) and hair nicotine (GMR: 1.22 95% CI: 1.05 1.43). Lighting waterpipes was associated with higher saliva cotinine (GMR: 2.83 95% CI: 1.05 7.62). Conclusions: Nonsmoking employees of waterpipe tobacco venues were exposed to high levels of SHS including measurable levels of carcinogenic biomarkers (tobacco-specific nitrosamines and PAHs).
Citation Count: 14
CAMPways: constrained alignment framework for the comparative analysis of a pair of metabolic pathways
(Oxford University Press, 2013) Erten, Cesim; Biyikoglu, Turker; Erten, Cesim
Motivation: Given a pair of metabolic pathways an alignment of the pathways corresponds to a mapping between similar substructures of the pair. Successful alignments may provide useful applications in phylogenetic tree reconstruction drug design and overall may enhance our understanding of cellular metabolism. Results: We consider the problem of providing one-to-many alignments of reactions in a pair of metabolic pathways. We first provide a constrained alignment framework applicable to the problem. We show that the constrained alignment problem even in a primitive setting is computationally intractable which justifies efforts for designing efficient heuristics. We present our Constrained Alignment of Metabolic Pathways (CAMPways) algorithm designed for this purpose. Through extensive experiments involving a large pathway database we demonstrate that when compared with a state-of-the-art alternative the CAMPways algorithm provides better alignment results on metabolic networks as far as measures based on same-pathway inclusion and biochemical significance are concerned. The execution speed of our algorithm constitutes yet another important improvement over alternative algorithms.
Citation Count: 30
Cis-cyclopropylamines as mechanism-based inhibitors of monoamine oxidases
(Wiley-Blackwell, 2015) Yelekçi, Kemal; Yelekçi, Kemal; Borrello, Maria Teresa; Ganesan, A.; Semina, Elena; De Kimpe, Norbert; Mangelinckx, Sven; Ramsay, Rona R.
Cyclopropylamines inhibitors of monoamine oxidases (MAO) and lysine-specific demethylase (LSD1) provide a useful structural scaffold for the design of mechanism-based inhibitors for treatment of depression and cancer. For new compounds with the less common cis relationship and with an alkoxy substituent at the 2-position of the cyclopropyl ring the apparent affinity determined from docking experiments revealed little difference between the enantiomers. Using the racemate kinetic parameters for the reversible and irreversible inhibition of MAO were determined. No inhibition of LSD1 was observed. For reversible inhibition most compounds gave high IC50 values with MAO A but sub-micromolar values with MAO B. After pre-incubation of the cyclopropylamine with the enzyme the inhibition was irreversible for both MAOA and MAOB and the activity was not restored by dilution. Spectral changes during inactivation of MAOA included bleaching at 456nm and an increased absorbance at 400nm consistent with flavin modification. These derivatives are MAOB-selective irreversible inhibitors that do not show inhibition of LSD1. The best inhibitor was cis-N-benzyl-2-methoxycyclopropylamine with an IC50 of 5nm for MAOB and 170nm for MAOA after 30min pre-incubation. This cis-cyclopropylamine is over 20-fold more effective than tranylcypromine so may be studied as a lead for selective inhibitors of MAOB that do not inhibit LSD1.
Citation Count: 12
Cognitive styles and religion
(Elsevier B.V., 2021) Yılmaz, Onurcan
I discuss recent research suggesting that individual differences in cognitive style give rise to and explain religious and related supernatural and paranormal beliefs. To do so, I illustrate intuitive cognitive biases (e.g., anthropomorphism) underlying these beliefs and then review the accumulated evidence indicating that non-believers are more open-minded, reflective, and less susceptible to holding epistemically suspect beliefs (e.g., conspiracy theories) on average than those who believe in supernatural events or paranormal experiences such as astrology or magic. However, seeing religion as a search for truth positively predicts reasoning performance. Although these findings are robust across diverse measures, evidence for a causal relationship remains mixed. Stronger and more precise manipulations and cross-cultural investigations are needed.
Citation Count: 3
Combined radiofrequency ablation and myxoma resection through a port access approach
(Elsevier Science Inc, 2004) Güden, Mustafa; Akpınar, Belhhan; Ergenoğlu, Mehmet U.; Sağbaş, Ertan; Sanisoğlu, İlhan; Özbek, Uğur
Myxornas are common cardiac tumors that are traditionally managed by complete excision through a median sternotorny approach with the use of cardiopulmonary bypass. We discuss a patient with left atrial myxoma and chronic atrial fibrillation who underwent surgical excision and combined irrigated radiofrequency ablation for atrial fibrillation through a Port Access approach. Minimally invasive operations constitute an expanding field for the treatment of many cardiac diseases and may be an alternative for the treatment of this pathology because of less surgical trauma and cosmetic superiority. In this case both excision of the myxoma and radiofrequency ablation were feasible through this minimally invasive approach. The combination of direct and endoscopic views enabled both procedures to be performed safely and efficiently. (C) 2004 by The Society of Thoracic Surgeons.
Citation Count: 71
Combined radiofrequency modified maze and mitral valve procedure through a port access approach: early and mid-term results
(Oxford University Press, 2003) Akpınar, Belhhan; Güden, Mustafa; Sağbaş, Ertan; Sanisoğlu, İlhan; Özbek, Uğur; Caynak, Barış; Bayındır, Osman
Objective: The aim of this study was to assess the feasibility and effectiveness of irrigated radiofrequency (RF) modified Maze procedure through a port access approach during mitral valve surgery and evaluate early and mid-term results. Material and method: During a 16 months time period 67 patients with chronic atrial fibrillation (AF) eligible for port access mitral valve surgery were randomly assigned to either Group A in which they underwent a combined procedure (N = 33) or Group B in which a valve procedure alone was performed (N = 34). Both groups were similar in terms of age sex valve pathology duration of AF left atrial diameter and left ventricle function (P > 0.05). Four had undergone previous operations. Results: Median follow-up was 10 months for both groups 95% CI (9.18-10.8). One patient in each group died early postoperatively (3 and 2.9%). Two patients required reoperation for bleeding one in each group (3 and 2.9%). There were two conversions to right thoracotomy. In Group A freedom from AF was 100% at the end of the operation (76% sinus 24% pacemaker) Six and twelve months freedom from AF was 87.2 and 93.6% respectively. In Group B freedom from AF at the end of operation was 41%. At the end of 6 and 12 months freedom from AF was 9.4% (P = 0.0001). One patient in Group A required a permanent pacemaker (3%). During follow-up one patient in Group A died of non-cardiac causes (3%). In Group B there were two late deaths: one cardiac (2.9%) and one neurologic (2.9%). There were no thromboembolic events detected in Group A during follow-up whereas two patients in Group B suffered this complication (6% P = 0.081). At 12 months functional capacity had improved for patients in both groups (P < 0.0001). Conclusion: The combination of mitral valve surgery and irrigated RF Maze procedure was safe and efficient through a port access approach. There were no procedure related complications like esophageal or coronary artery injury. Early and mid-term results were favourable with 93.6% of patients free of AF at 1 year in comparison to the 9.4% of the control group. The data is not sufficient to reach any conclusions in terms of thromboembolic rates despite favourable results for the RF Maze group. Nevertheless in terms of feasibilty sinus rhythm restoration and overall outcome early results are encouraging and we advocate the use of the combined procedure through a port access approach. (C) 2003 Elsevier Science B.V. All rights reserved.
Citation Count: 1
Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs
(Natl Acad Sciences, 2023) Huber, Christoph; Dreber, Anna; Huber, Juergen; Johannesson, Magnus; Kirchler, Michael; Weitzel, Utz; Abellan, Miguel
Does competition affect moral behavior? This fundamental question has been debated among leading scholars for centuries, and more recently, it has been tested in experimental studies yielding a body of rather inconclusive empirical evidence. A potential source of ambivalent empirical results on the same hypothesis is design heterogeneity-variation in true effect sizes across various reasonable experimental research protocols. To provide further evidence on whether competition affects moral behavior and to examine whether the generalizability of a single experimental study is jeopardized by design heterogeneity, we invited independent research teams to contribute experimental designs to a crowd-sourced project. In a large-scale online data collection, 18,123 experimental participants were randomly allocated to 45 randomly selected experimental designs out of 95 submitted designs. We find a small adverse effect of competition on moral behavior in a meta-analysis of the pooled data. The crowd-sourced design of our study allows for a clean identification and estimation of the variation in effect sizes above and beyond what could be expected due to sampling variance. We find substantial design heterogeneity-estimated to be about 1.6 times as large as the average standard error of effect size estimates of the 45 research designs-indicating that the informativeness and generalizability of results based on a single experimental design are limited. Drawing strong conclusions about the underlying hypotheses in the presence of substantive design heterogeneity requires moving toward much larger data collections on various experimental designs testing the same hypothesis.
Citation Count: 9
Complete density calculations of q-state Potts and clock models: Reentrance of interface densities under symmetry breaking
(Amer Physical Soc, 2020) Artun, E. Can; Berker, A. Nihat
All local bond-state densities are calculated for q-state Potts and clock models in three spatial dimensions, d = 3. The calculations are done by an exact renormalization group on a hierarchical lattice, including the density recursion relations, and simultaneously are the Migdal-Kadanoff approximation for the cubic lattice. Reentrant behavior is found in the interface densities under symmetry breaking, in the sense that upon lowering the temperature, the value of the density first increases and then decreases to its zero value at zero temperature. For this behavior, a physical mechanism is proposed. A contrast between the phase transition of the two models is found and explained by alignment and entropy, as the number of states q goes to infinity. For the clock models, the renormalization-group flows of up to 20 energies are used.

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