PubMed İndeksli Yayınlar Koleksiyonu
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Article Space-Magnitude Associations Modulate the Familiar-Size Stroop Effect in Visual Size Judgments(Springer Heidelberg, 2025) Dural, Seda; Cetinkaya, Hakan; Sefikoglu, MelikeThe familiar-size Stroop effect shows how prior knowledge of an object's real-world size influences visual size judgments, slowing reactions when familiar and visual sizes conflict. This study examined how space-magnitude associations, specifically mental number line (MNL) compatibility, interact with Stroop congruency. Participants compared the visual sizes of two objects, ignoring real-world sizes, and identified either the smaller or the larger object across four conditions: Stroop-congruent/MNL-compatible, Stroop-congruent/MNL-incompatible, Stroop-incongruent/MNL-compatible, and Stroop-incongruent/MNL-incompatible. Tasks followed small-then-large or large-then-small identification sequences. Results showed MNL compatibility modulates Stroop interference: MNL-compatible (small-left, large-right) presentations reduced interference, while MNL-incompatible (large-left, small-right) presentations increased it, depending on task type and order. RT distribution analyses revealed MNL effects emerged in slower bins for Stroop-congruent trials and faster bins for Stroop-incongruent trials within small-then-large sequences. These findings suggest that space-magnitude associations shape the familiar-size Stroop effect, revealing a complex relationship between spatial and conceptual representations in size judgment.Article Representational Context Modulates the Direction and Transiency of Practice Effects on SNARC(SAGE Publications Ltd, 2026) Palaz, Ezgi; Cetinkaya, Hakan; Dural, SedaThe Spatial-Numerical Association of Response Codes (SNARC) effect typically results in faster left-hand responses for small numbers and right-hand responses for large numbers, aligning with the concept of the mental number line (MNL). It is a robust but a flexible phenomenon that can reverse direction depending on the spatial-numerical mappings employed. This study investigates the potential modulatory effects of two contrasting representational contexts (ruler vs. clockface) on the emergence and persistence of the SNARC effect under two opposing spatial-numerical practices (MNL-compatible vs. MNL-incompatible). In Experiment 1, a magnitude classification task was employed as a practice session including either MNL-compatible or MNL-incompatible stimulus-response mappings, and the transfer and transiency of practice effects were examined by engaging participants in three test parity judgment tasks administered 5 min, 1 day, and 1 week after the practice session. In Experiment 2, different representational contexts were introduced during practice sessions. Experiment 2a utilized an image of a ruler as the context consistent with the MNL, while Experiment 2b employed a clockface image as an inconsistent context. Participants underwent testing three times to assess changes in performance over time. Results revealed that MNL-compatible practice effects did not transfer while MNL-incompatible practice effects resulted in a reverse SNARC effect persisting for up to 1 day. However, introducing the ruler context eliminated this transfer, while the clockface context reduced the persistence of the practice effect.Editorial Legal Artificial Intelligence in Interventional Cardiology: Ethical Boundaries and Decision Support Opportunities in the Turkish Legal Context(Kare Publ, 2026) Gocer, Hakan; Gocer, Saadet Deniz; Durukan, Ahmet BarisArticle HistoNeRF: An Accessible and Intelligent Approach for Comprehensive 2D-to-3D Histological Assessment(Wiley, 2026) Kilic, Kubilay Dogan; Ozyazici, Kaan; Yilmaz, Zeynep Simge; Ozyazici, Aysegul Taskiran; Horuz, Busra; Taşkıran Özyazici, Ayşegül; Kisaoglu, HuseyinHistological analysis is central to biomedical research and diagnostic pathology, yet conventional two-dimensional (2D) sectioning captures only limited aspects of tissue architecture. Critical spatial relationships-such as tumor boundaries, stromal organization, and vascular networks-remain obscured, restricting diagnostic accuracy and biological interpretation. HistoNeRF addresses these limitations by adapting Neural Radiance Fields (NeRF) to reconstruct three-dimensional (3D) tissue volumes from routine histological sections. In this study, 84 toluidine blue (TB)-stained murine ovarian sections were digitized, alignment-corrected, and integrated into volumetric models. Tissue segmentation was performed using a convolutional neural network, while visualization was achieved through an interactive, GPU-accelerated interface. To ensure accessibility and reproducibility, a Python-based graphical application (HistoNeRF GUI) was developed following Human-Computer Interaction (HCI) principles and containerized with Docker, allowing installation-free deployment via Docker Hub. HistoNeRF produced high-fidelity 3D reconstructions (SSIM = 0.92; Dice similarity coefficient = 0.88), enabling expert histologists to better visualize follicular structures, stromal compartments, and vascular elements. The containerized GUI was deployed successfully from Docker Hub, providing immediate access to 3D reconstruction without a complex local setup. By overcoming the inherent constraints of 2D microscopy, HistoNeRF enhances the visualization, interpretability, and reproducibility of histological architecture. The HCI-guided, cross-platform interface supports scalability and rapid adoption in digital pathology workflows. Although validation was limited to murine ovarian tissue and one staining protocol, this framework can be extended across tissue types and clinical datasets. HistoNeRF bridges routine histology and 3D volumetric analysis through accurate, interactive reconstructions that advance diagnostic precision and biomedical research. While demonstrated on 84 serial TB-stained ovarian sections, broader validation across tissues, stains, and pathological conditions remains future work; to support this, we provide a Dockerized, modular pipeline for straightforward extension.Article Green Approaches to Enhance Bioactive Compounds in Goji Berry (Lycium Barbarum) Fruits: Comparative Optimization of Pressurized Water, Microwave-Assisted, and Ultrasound-Assisted Extraction Technologies by Using Response Surface Methodology(Wiley, 2025) Yildiz-Ozturk, EceGoji berries (Lycium barbarum L.), a superfruit with a long history of usage in Asian medicine, are gaining recognition for their potential as functional foods because of their high levels of antioxidants, flavonoids, anthocyanins, and phenolic acids. With the growing demand from consumers for clean-label and naturally sourced ingredients, environmentally friendly extraction technologies are now crucial to creating bioactive-rich extracts appropriate for food and nutraceutical applications. Three eco-friendly extraction methods-pressurized water extraction (PWE), microwave-assisted extraction (MAE), and ultrasound-assisted extraction (UAE)-are thoroughly evaluated in this study to maximize the bioactive compounds' recovery from Goji berry fruits. Water was the only solvent used in all extraction processes, guaranteeing environmental sustainability and food-grade compliance. The solid/liquid ratio, temperature, duration, pressure, and power were all optimized using response surface methodology (RSM). The total phenolic content (TPC), total flavonoid content (TFC), total anthocyanin content (TAC), and antioxidant activity (DPPH inhibition) of the extracted materials were assessed. Under ideal circumstances, the extracts' rutin contents were ascertained by HPLC analysis. According to the findings, MAE had the highest DPPH inhibition rate (75.942%), whereas PWE had the most TPC (17.753 mg GAE/g extract). The flavonoid content of both techniques was comparable. The UAE produced the best energy-to-bioactivity ratio and the most anthocyanin-rich extracts (3.607 mg C3G/g). UAE is the most ecologically friendly option among the techniques, as evidenced by its highest overall efficiency in terms of bioactive recovery and antioxidant capacity. This is the first study to employ a combined approach of RSM and bioactivity-energy efficiency assessment to optimize and compare water-based PWE, MAE, and UAE methods for Goji berries. These results demonstrate that green extraction technologies can be leveraged to sustainably produce bioactive compounds from functional foods like Goji berries, which have significant applications in food, nutraceuticals, and cosmetics.Article Experimental Determination of Material Behavior Under Compression of a Carbon-Reinforced Epoxy Composite Boat Damaged by Slamming-like Impact(MDPI, 2026) Altunsaray, Erkin; Bicer, Mustafa; Neser, Gokdeniz; Karasu, Hasim FiratCarbon-reinforced epoxy laminated composite (CREC) structures are increasingly utilized in high-speed marine vehicles (HSMVs) due to their high specific strength and stiffness; however, they are frequently subjected to impact loads like slamming and aggressive environmental agents during operation. This study experimentally investigates the Compression After Impact (CAI) behavior of CREC plates with varying lamination sequences under both atmospheric and accelerated aging conditions. The samples were produced using the vacuum-assisted resin infusion method with three specific orientation types: quasi-isotropic, cross-ply, and angle-ply. To simulate the marine environment, specimens were subjected to accelerated aging in a salt fog and cyclic corrosion cabin for periods of 2, 4, and 6 weeks. Before and following the aging process, low-velocity impact tests were conducted at an energy level of 30 J, after which the residual compressive strength was measured by CAI tests. At the end of the aging process, after the sixth week, the performance of plates with different layer configuration characteristics can be summarized as follows: Plates 1 and 2, which are quasi-isotropic, exhibit opposite behavior. Plate 1, with an initial toughness of 23,000 mJ, increases its performance to 27,000 mJ as it ages, while these values are around 27,000 and 17,000 mJ, respectively, for Plate 2. It is thought that the difference in configurations creates this difference, and the presence of the 0 degrees layer under the effect of compression load at the beginning and end of the configuration has a performance-enhancing effect. In Plates 3 and 4, which have a cross-ply configuration, almost the same performance is observed; the performance, which is initially 13,000 mJ, increases to around 23,000 mJ with the effect of aging. Among the options, angle-ply Plates 5 and 6 demonstrate the highest performance with values around 35,000 mJ, along with an undefined aging effect. Scanning Electron Microscopy (SEM) and Energy-Dispersive X-ray Spectroscopy (EDS) analyses confirmed the presence of matrix cracking, fiber breakage, and salt accumulation (Na and Ca compounds) on the aged surfaces. The study concludes that the impact of environmental aging on CRECs is not uniformly negative; while it degrades certain configurations, it can enhance the toughness and energy absorption of brittle, cross-ply structures through matrix plasticization.Article Evaluating the Impact of Subsurface Hydraulic Barriers on Qanat Flow Rates Using Quantile Regression Forest(Nature Portfolio, 2025) Vaheddoost, Babak; Can, Murat; Safari, Mir Jafar SadeghQanats, as hydraulic innovations, enabled the sustainable extraction and distribution of groundwater for irrigation and domestic use during history. This study presents a data-driven modeling framework that implements Quantile Regression Forest (QRF), Random Forest (RF), and Support Vector Regression (SVR) to predict Qanat discharge under altered subsurface conditions. Using field data from the Dirsak Qanat in northern Iran, a traditional drainage system recently enhanced by the construction of a subsurface dam (SD), we investigate the dam's effect on discharge potential. The modeling framework incorporates determination of multiple hydro-meteorological inputs including precipitation, temperature, evaporation, humidity, runoff depth, infiltration depth and groundwater levels observed at three monitoring wells. A binary (dummy) variable was also introduced to represent the presence or absence of the SD, thereby capturing the associated changes in boundary conditions. The analysis further revealed that the SD and evaporation are the most influential factors, highlighting the combined effects of anthropogenic modifications and climatic variations on the discharge behavior of the Qanats. It was also concluded that the QRF model with a Nash-Sutcliffe Efficiency (NSE) of 0.818, demonstrate strong predictive capability in capturing complex and non-linear hydrological interactions.Article Citation - WoS: 2Citation - Scopus: 1Effect of AI-Related Patents, Energy Transition, Environmental Policy Stringency, Income, and Energy Consumption Sub-Types on the Environmental Sustainability: Evidence from China by KRLS Approach(Academic Press Ltd- Elsevier Science Ltd, 2025) Taşkın, Dilvin; Kim, Eonsoo; Mukhtarov, Shahriyar; Kirikkaleli, Derviş; Kılıç Depren, Serpil; Park, Jinsu; Depren, Serpil Kilic; Kartal, Mustafa TevfikDue to the increasing negative effects on humanity, searching for potential solutions to combat environmental problems has been developing. Accordingly, the study examines the effect of a set of critical factors on environmental sustainability (ES) proxied by ecological footprint (EFP) and load capacity factor (LCF) in China. In this context, the study considers AI-related patents, energy transition, environmental policy stringency (EPS), income, and energy consumption (EC) sub-types and applies the Kernel Regularized Least Squares (KRLS) approach on data from 2000 to 2020 within the context of marginal effect analysis. The outcomes show that (i) AI-related patents and energy transition are completely ineffective to ensure ES; (ii) EPS are marginally effective only at 0.25th and 0.75th percentiles to support ES; (iii) economic growth as well as oil, gas, and coal EC are not good for ES across all percentiles; (iv) nuclear EC is only helpful at 0.25th percentiles, whereas renewable EC is completely unbeneficial; (v) KRLS approach presents successful prediction outcomes around 99.7 % (vi) some variables (i.e., nuclear and renewable EC as well as EPS); have marginal and varying effects across percentiles, whereas some others have not. Thus, the study empirically demonstrates the inefficiency of AI-related patents and energy transition on the ES, whereas EPS and nuclear EC can be helpful to develop ES in the Chinese case.Article Citation - WoS: 2Deciphering Drought-Response in Wheat (Triticum Aestivum): Physiological, Biochemical, and Transcriptomic Insights into Tolerant and Sensitive Cultivars under Dehydration Shock(Frontiers Media SA, 2025) Sezerman, Osman Uğur; Özer, Buğra; Yıldızhan, Yasemin; Fayetorbay, Rumeysa; Cevher-Keskin, Birsen; Tör, Mahmut; Sekmen, A. HediyeIntroduction: Wheat (Triticum aestivum L.) is a major staple crop, but its productivity is severely threatened by drought, especially during reproductive stages when yield and quality are most vulnerable. Climate change and water overexploitation intensify this challenge, with yield losses of up to 80% in arid regions and projected global production declines of similar to 29%. Drought tolerance is a complex trait involving physiological, biochemical, and molecular mechanisms, including stomatal regulation, osmolyte accumulation, and activation of stress-responsive genes. Advances in transcriptomics, functional genomics, and genome editing have identified key regulators (DREB, ERF, SnRK2), antioxidant enzymes, and ABA signalling components as targets for improving drought resilience. Developing drought-tolerant wheat varieties is therefore a priority for food security. Materials and Methods: This study investigates transcriptomic responses in root and leaf tissues of three wheat cultivars, Atay 85 (drought-sensitive), Gerek 79 and Mufitbey (drought-tolerant), subjected to 4- and 8-hour shock-dehydration stress. Before RNAseq analysis, biochemical assays were conducted to assess oxidative damage (TBARS) and antioxidant enzyme activities under shock-dehydration stress for three different cultivars. Differential gene expression analysis was performed, and several highly differentially expressed genesincluding TaZFP36, TaMC5, TaGI, TaGLP9-1, and TaFer were selected to validate RNAseq data in both root and leaf tissues of tolerant and sensitive cultivars. Results: Transcriptomic analysis revealed distinct metabolic strategies for drought adaptation. Photosynthesis-related processes, including Photosystem I and II, were broadly downregulated, while extracellular and membrane-associated components were upregulated, reflecting a shift toward stress defence mechanisms. Cultivar-specific responses highlighted diverse adaptation strategies: Atay 85 exhibited severe metabolic suppression and ATP depletion, making it highly vulnerable to drought. Gerek 79 conserved energy by suppressing photosynthesis while enhancing osmoprotective sugar metabolism and reinforcing structural integrity through lignin and flavonoid biosynthesis. Mufitbey demonstrated the most robust drought tolerance by integrating metabolic dormancy, hormonal signalling, and antioxidant defence, characterized by stable CAT activity and elevated SOD activity, which mitigated oxidative damage and preserved photosynthetic stability. Root tissues prioritized metabolic adjustments for oxidative stress reduction and developmental adaptation, while leaf tissues focused on maintaining photosynthesis and limiting protein damage. Functional enrichment analysis indicated significant upregulation of stress-related pathways, including ABA-mediated signalling, protein binding, and cellular metabolic processes in tolerant cultivars. Discussion: This study advances our knowledge of the complex molecular and biochemical responses of wheat with differing tolerance levels, highlighting both key candidate genes and antioxidant defence mechanisms as central to cultivar-specific adaptation strategies. The distinct metabolic strategies observed emphasize the importance of tailored molecular mechanisms in drought tolerance, which can guide future breeding programs aimed at improving wheat resilience under water-limited conditions.Article Citation - WoS: 2Citation - Scopus: 2Carbon 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, JafarIn 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.Article Citation - WoS: 30Citation - Scopus: 35Determining a continuous marker for sleep depth(Pergamon-Elsevier Science Ltd, 2007) Musa Hakan Asyali; Richard Barnett Berry; Michael C.K. Khoo; Ayşe Asyali Altinok; Khoo, Michael C.K.; Asyali, Musa H.; Berry, Richard B.; Altinok, AyseDetection and quantification of sleep arousals is an important issue as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging electroencephalograph (EEG) is the core signal and based on the visual inspection of the frequency content of EEG non-rapid eye movement sleep is staged into four somewhat rough categories. In this study we aimed at developing a continuous marker based on a more rigorous spectral analysis of EEG to measure or quantify the depth of sleep. In order to develop such a marker we obtained the time-frequency map of two EEG channels around sleep arousals and identified the frequency bands that show the most change during arousals. We then evaluated classification performance of the potential signals for representing the depth of sleep using receiver operating characteristic analysis. Our comparisons based on the area under the curve values revealed that the sum of absolute powers in alpha and beta bands is a good continuous marker to represent the depth of sleep. Higher values of this marker indicate low-quality sleep and vice versa. We believe that use of this marker will lead to a better quantification of sleep quality. © 2007. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - WoS: 77Citation - Scopus: 82Feedback network controls photoreceptor output at the layer of first visual synapses in Drosophila(Rockefeller Univ Press, 2006) Lei Zheng; Gonzalo García De Polavieja; Verena Wolfram; Musa Hakan Asyali; Roger C. Hardie; Mikko A. Juusola; Wolfram, V; Polavieja, GG; Juusola, M; Zheng, L; Asyali, MH; De Polavieja, Gonzalo G.; Hardie, RCAt the layer of first visual synapses information from photoreceptors is processed and transmitted towards the brain. In fly compound eye output from photoreceptors (R1-R6) that share the same visual field is pooled and transmitted via histaminergic synapses to two classes of interneuron large monopolar cells (LMCs) and amacrine cells (ACs). The interneurons also feed back to photoreceptor terminals via numerous ligand-gated synapses yet the significance of these connections has remained a mystery. We investigated the role of feedback synapses by comparing intracellular responses of photoreceptors and LMCs in wild-type Drosophila and in synaptic mutants to light and current pulses and to naturalistic light stimuli. The recordings were further subjected to rigorous statistical and information-theoretical analysis. We show that the feedback synapses form a negative feedback loop that controls the speed and amplitude of photoreceptor responses and hence the quality of the transmitted signals. These results highlight the benefits of feedback synapses for neural information processing and suggest that similar coding strategies could be used in other nervous systems. © The Rockefeller University Press. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - Scopus: 71Comparison of AR and Welch methods in epileptic seizure detection(2006) Ahmet Alkan; Mahmut Kemal Kıymık; Alkan, Ahmet; Kiymik, M. KemalBrain is one of the most critical organs of the body. Synchronous neuronal discharges generate rhythmic potential fluctuations which can be recorded from the scalp through electroencephalography. The electroencephalogram (EEG) can be roughly defined as the mean electrical activity measured at different sites of the head. EEG patterns correlated with normal functions and diseases of the central nervous system. In this study EEG signals were analyzed by using autoregressive (parametric) and Welch (non-parametric) spectral estimation methods. The parameters of autoregressive (AR) method were estimated by using Yule-Walker covariance and modified covariance methods. EEG spectra were then used to compare the applied estimation methods in terms of their frequency resolution and the effects in determination of spectral components. The variations in the shape of the EEG power spectra were examined in order to epileptic seizures detection. Performance of the proposed methods was evaluated by means of power spectral densities (PSDs). Graphical results comparing the performance of the proposed methods with that of Welch technique were given. The results demonstrate consistently superior performance of the covariance methods over Yule-Walker AR and Welch methods. © 2006 Springer Science+Business Media Inc. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - WoS: 26Citation - Scopus: 30Negotiators' profit predicted by cognitive reappraisal suppression of emotions misrepresentation of information and tolerance of ambiguity(SAGE Publications Inc, 2008) Gülçimen Yurtsever; Yurtsever, GolcimenThis study examined the relationship between negative emotions and variables that affect negotiators' profit. Based on a simulated negotiation this study induced emotions by providing negative feedback on how negotiating partners perceived and evaluated each other's behavior. Then relationships were examined between negative emotions and emotional regulation strategies misrepresentation of information tolerance of ambiguity and negotiators' profit. A total of 228 undergraduate students enrolled in an economics course in the Faculty of Law and the Faculty of Management at a university in Ankara participated. There were 130 students in the experimental group and 98 students in the control group, 102 were men and 126 were women ages 17 to 35 years (M = 22.6 yr. SD = 2.3). A simulated negotiation process was used. Regression coefficients suggested positive relation between Emotional Reaction and the use of a Suppression strategy and Misrepresentation of Information. Negative coefficients were obtained from scores between Emotional Reaction and Cognitive Reappraisal and Tolerance of Ambiguity. The regression also suggested there were negative regression coefficients linking Misrepresentation of Information and Suppression strategies to Negotiators' Profit. Positive regression coefficients linked Tolerance of Ambiguity to Negotiators' Profit. Mediating variables explained 55% of variance in Negotiators' Profit, the majority (43%) was explained by Cognitive Reappraisal. © Perceptual and Motor Skills 2008. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - WoS: 45Citation - Scopus: 50Classification of EEG recordings by using fast independent component analysis and artificial neural network(Springer, 2008) Yücel Koçyig̃it; Ahmet Alkan; Halil Erol; Alkan, Ahmet; Kocyigit, Yucel; Erol, HalilSince there is no definite decisive factor evaluated by the experts visual analysis of EEG signals in time domain may be inadequate. Routine clinical diagnosis requests to analysis of EEG signals. Therefore a number of automation and computer techniques have been used for this aim. In this study we aim at designing a MLPNN classifier based on the Fast ICA that accurately identifies whether the associated subject is normal or epileptic. By analyzing a data set consisting of 100 normal and 100 epileptic EEG time series we have found that the MLPNN classifier based on the Fast ICA achieved and sensitivity rate of 98% and specificity rate of 90.5%. The results demonstrate that the testing performance of the neural network diagnostic system is found to be satisfactory and we think that this system can be used in clinical studies. Since the time series analysis of EEG signals is unsatisfactory and requires specialist clinicians to evaluate this application brings objectivity to the evaluation of EEG signals. © 2007 Springer Science+Business Media LLC. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - WoS: 32Citation - Scopus: 35Hypoglycemic effect of Lentinus strigosus (Schwein.) Fr. crude exopolysaccharide in streptozotocin-induced diabetic rats(Mary Ann Liebert, Inc, 2008) Mustafa Yamaç; Güngör Kanbak; Melih Zeytinoǧlu; Gökhan Bayramoǧlu; Hakan Şenturk; Mustafa Uyanoǧlu; Senturk, Hakan; Uyanoglu, Mustafa; Kanbak, Gungor; Yamac, Mustafa; Bayramoglu, Gokhan; Zeytinoglu, MelihThis study reports the hypoglycemic effects of the crude exopolysaccharide (EPS) produced from submerged mycelial culture of Lentinus strigosus (Schwein.) Fr. (Family Polyporaceae) in streptozotocin (STZ)-induced diabetic rats. In a dose-dependent study diabetic rats were treated with EPS at doses of 50-150 mg/kg of body weight for 7 days. Serum glucose and plasma insulin levels were measured in normal STZ-induced diabetic and EPS-treated diabetic rats. Following oral administration of EPS dosages for 7 days the serum glucose levels in the STZ-induced diabetic rats were reduced up to 21.1% at the dose of 150 mg/kg of body weight. The results revealed that orally administered L. strigosus EPS at the dose of 150 mg/kg exhibited a considerable hypoglycemic effect in STZ-induced diabetic rats. Plasma insulin levels of STZ-induced diabetic rats decreased as compared to control group rats (P < .05). Although insulin levels slightly increased in the EPS-treated groups the increase was not statistically significant. The hypoglycemic potential of the EPS was further supported by histological observations of pancreatic islets of Langerhans. © 2008 Mary Ann Liebert Inc. © 2009 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - WoS: 5Citation - Scopus: 4Computer based classification of MR scans in first time applicant Alzheimer patients(Bentham Science Publ Ltd, 2012) Fatma Eksi Polat; Selçuk Orhan Demirel; Ömer Kitiş; Fatma Şimşek; Damla İşman Haznedaroǧlu; Kerry Lee Coburn; Emre Kumral; Ali Saffet Gönül; Simsek, Fatma; Kitis, Omer; Demirel, Selcuk Orhan; Gonul, Ali Saffet; Haznedaroglu, Damla Isman; Coburn, Kerry; Polat, FatmaIn this study we aimed to classify MR images for recognizing Alzheimer Disease (AD) in a group of patients who were recently diagnosed by clinical history and neuropsychiatric exams by using non-biased machine-learning techniques. T1 weighted MRI scans of 31 patients with probable AD and 31 age- and gender-matched cognitively normal elderly were analyzed with voxel-based morphometry and classified by support vector machine (SVM) a machine learning technique. SVM could differentiate patients from controls with accuracy of 74 % (sensitivity: 70 % and specificity: 77 %) when the whole brain was included the analyses. The classification accuracy was increased to 79 % (sensitivity: 65 % and specificity: 93 %) when the analyses restricted to hippocampus. Our results showed that SVM is a promising tool for diagnosis of AD but needed to be improved. © 2012 Bentham Science Publishers. © 2013 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Article Citation - WoS: 68Citation - Scopus: 79How accurately do drivers evaluate their own driving behavior? An on-road observational study(Pergamon-Elsevier Science Ltd, 2014) Sonia Amado; Elvan Arıkan İyilikci; Gülin Kaça; Mehmet Koyuncu; Belgüzar Nilay Turkan; Kaca, Gulin; Koyuncu, Mehmet; Arikan, Elvan; Amado, Sonia; Turkan, B. NilaySelf-assessment of driving skills became a noteworthy research subject in traffic psychology since by knowing one's strenghts and weaknesses drivers can take an efficient compensatory action to moderate risk and to ensure safety in hazardous environments. The current study aims to investigate drivers' self-conception of their own driving skills and behavior in relation to expert evaluations of their actual driving by using naturalistic and systematic observation method during actual on-road driving session and to assess the different aspects of driving via comprehensive scales sensitive to different specific aspects of driving. 19-63 years old male participants (N = 158) attended an on-road driving session lasting approximately 80 min (45 km). During the driving session drivers' errors and violations were recorded by an expert observer. At the end of the driving session observers completed the driver evaluation questionnaire while drivers completed the driving self-evaluation questionnaire and Driver Behavior Questionnaire (DBQ). Low to moderate correlations between driver and observer evaluations of driving skills and behavior mainly on errors and violations of speed and traffic lights was found. Furthermore the robust finding that drivers evaluate their driving performance as better than the expert was replicated. Over-positive appraisal was higher among drivers with higher error/violation score and with the ones that were evaluated by the expert as "unsafe". We suggest that the traffic environment might be regulated by increasing feedback indicators of errors and violations which in turn might increase the insight into driving performance. Improving self-awareness by training and feedback sessions might play a key role for reducing the probability of risk in their driving activity.© 2013 Elsevier Ltd. All rights reserved. © 2013 Elsevier B.V. All rights reserved.Article Citation - WoS: 54Citation - Scopus: 65Cultural Bases for Self-Evaluation: Seeing Oneself Positively in Different Cultural Contexts(SAGE Publications Inc. claims@sagepub.com, 2014) Maja Becker; Vivian L. Vignoles; Ellinor Owe; Matthew J. Easterbrook; Rupert James Brown; Peter Bevington Smith; Michael Harris Bond; Camillo Regalia; Claudia Manzi; Maria Brambilla; Easterbrook, Matthew J.; Vignoles, Vivian L.; Koller, Silvia H.; Brown, Rupert; Owe, Ellinor; Smith, Peter B.; Becker, MajaSeveral theories propose that self-esteem or positive self-regard results from fulfilling the value priorities of one's surrounding culture. Yet surprisingly little evidence exists for this assertion and theories differ about whether individuals must personally endorse the value priorities involved. We compared the influence of four bases for self-evaluation (controlling one's life doing one's duty benefitting others achieving social status) among 4852 adolescents across 20 cultural samples using an implicit within-person measurement technique to avoid cultural response biases. Cross-sectional and longitudinal analyses showed that participants generally derived feelings of self-esteem from all four bases but especially from those that were most consistent with the value priorities of others in their cultural context. Multilevel analyses confirmed that the bases of positive self-regard are sustained collectively: They are predictably moderated by culturally normative values but show little systematic variation with personally endorsed values. © 2014 by the Society for Personality and Social Psychology Inc. © 2019 Elsevier B.V. All rights reserved.Article Citation - WoS: 29Citation - Scopus: 39Depression anxiety and sexual satisfaction in breast cancer patients and their partners-Izmir oncology group study(Asian Pacific Organization for Cancer Prevention kyyoo@plaza.snu.ac.kr,, 2014) Ahmet T. Alacacioǧlu; Eda Ulger; Umut Ut Varol; Ibrahim Yildiz; Tarik Salman; Vedat Bayoglu; Ahmet Dirican; Lütfiye Demir; Murat Akyol; Yaşar Yildiz; Bayoglu, Vedat; Yildiz, Ibrahim; Ulger, Eda; Salman, Tarik; Varol, Umut; Alacacioglu, Ahmet; Tarhan, Mustafa OktayBackground: We aimed to investigate anxiety depression and sexual satisfaction levels and the effects of depression and anxiety upon the sexual satisfaction of Turkish breast cancer patients and their partners. Materials and Methods: Data were collected from one hundred breast cancer patients and their partners using three forms: one covering information about socio-demographic characteristics of the patients the Hospital Anxiety and Depression Scale (HADs) and the Golombok-Rust Inventory of Sexual Satisfaction (GRISS). Results: The frequencies avoidance and touch subscores were statistically significantly high in the patients. Among those with high anxiety scores the frequency communication satisfaction touch and anorgasmic subscale scores of GRISS were found to be significantly high. Among the partners whose anxiety scores were high only the premature ejaculation subscale was statistically significant. It was determined that for partners with higher depression scores the communication satisfaction avoidance premature ejaculation and erectile dysfunction subscores of GRISS were statistically higher compared to partners with lower depression scores. Conclusions: Patients' quality of life may be increased by taking precautions to reduce their and their partners' psychosocial and psychosexual concerns. © 2015 Elsevier B.V. All rights reserved.
