PubMed İndeksli Yayınlar Koleksiyonu

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Analysis of the learning curve for robotic hysterectomy for benign gynaecological disease
(WILEY, 2013-12-27) Fatih Sendag; Burak Zeybek; Ali Akdemir; Banu Ozgurel; Kemal Oztekin
BackgroundThe objective was to evaluate the learning curve for performing a robotic hysterectomy to treat benign gynaecological disease. MethodsThirty-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. ResultsThe mean operating set-up and docking times were 16954.5 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. ConclusionsThe 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. Copyright (c) 2013 John Wiley & Sons Ltd.
BUYER SELLER NEGOTIATIONS: A COMPARISON OF DOMESTIC AND INTERNATIONAL CONDITIONS IN A PILOT STUDY WITH INTERNATIONAL BUSINESS STUDENTS
(SAGE PUBLICATIONS INC, 2010-06) Guelcimen Yurtsever; Gizem Kurt; Gungor Hacioglu; Hacioglu, Gungor; Yurtsever, Guelcimen; Kurt, Gizem
This study examined the differences and similarities between domestic and international negotiations using Kelley's Negotiation Game to measure the profit achieved. There were 58 participants in the international negotiation sample 29 Turkish and 29 European students. There were 62 Turkish students in the domestic negotiations. All participants studied business or related topics at a university in Izmir. Student t tests indicated statistically significant differences in scores on misrepresentation of information interpersonal attraction peer evaluation of misrepresentation information and satisfaction between domestic and international negotiations.
Citation - WoS: 6
Citation - Scopus: 6
Child Abuse and Neglect Among Children Who Drop Out of School: A Study in Izmir- Turkey
(ROUTLEDGE JOURNALS TAYLOR & FRANCIS LTD, 2016-06-22) Zeynep Sofuoglu; Gorkem Sariyer; Fulya Aydin; Sinem Cankardas; Birsu Kandemirci; Sariyer, Görkem; Aydin, Fulya; Cankardeş, Sinem; Cankardas, Sinem; Sofuoğlu, Zeynep; Kandemirci, Birsu
Child abuse and neglect (CAN) and dropping out of school have long been recognized as pervasive social problems globally and Turkey is no exception. This study aims to explore the prevalence and incidence of CAN in children who drop out of school of Turkey using the ISPCAN Child abuse Screening Tool Children's Version which is an appropriate tool for multinational comparisons. Data from a convenience sample of children who drop out of school age 11 13 and 16 from Izmir were collected either by interviews or by self-completion. The results show that compared to children who do not drop out of school children who drop out of school have higher rates of psychological and physical abuse and neglect within the family. This study not only highlights the need for preventive laws for CAN and dropping out of school but also points to direction for future research.
Citation - WoS: 55
Citation - Scopus: 65
Cultural Bases for Self-Evaluation: Seeing Oneself Positively in Different Cultural Contexts
(SAGE Publications Inc. claims@sagepub.com, 2014-02-12) Maja Becker; Vivian L. Vignoles; Ellinor Owe; Matthew J. Easterbrook; Rupert James Brown; Peter Bevington Smith; Michael Harris Bond; Camillo Regalia; Claudia Manzi; Maria Brambilla; Easterbrook, Matthew J.; Vignoles, Vivian L.; Koller, Silvia H.; Brown, Rupert; Owe, Ellinor; Smith, Peter B.; Becker, Maja
Several theories propose that self-esteem or positive self-regard results from fulfilling the value priorities of one's surrounding culture. Yet surprisingly little evidence exists for this assertion and theories differ about whether individuals must personally endorse the value priorities involved. We compared the influence of four bases for self-evaluation (controlling one's life doing one's duty benefitting others achieving social status) among 4852 adolescents across 20 cultural samples using an implicit within-person measurement technique to avoid cultural response biases. Cross-sectional and longitudinal analyses showed that participants generally derived feelings of self-esteem from all four bases but especially from those that were most consistent with the value priorities of others in their cultural context. Multilevel analyses confirmed that the bases of positive self-regard are sustained collectively: They are predictably moderated by culturally normative values but show little systematic variation with personally endorsed values. © 2014 by the Society for Personality and Social Psychology Inc. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 43
Citation - Scopus: 48
Decision tree (DT) generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes
(IWA Publishing 12 Caxton Street London SW1H 0QS, 2019-03-15) Mir Jafar Sadegh Safari; Safari, Mir Jafar Sadegh
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates the bed load sediment transport in sewer pipes with particular reference to the non-deposition condition in clean bed channels. Four data sets available in the literature covering wide ranges of pipe size sediment size and sediment volumetric concentration have been utilized through applying decision tree (DT) generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) techniques for modeling. The developed models have been compared with conventional regression models available in the literature. The model performance indicators showed that DT GR and MARS models outperform conventional regression models. Result shows that GR and MARS models are comparable in terms of calculating particle Froude number and performing better than DT. It is concluded that conventional regression models generally overestimate particle Froude number for the non-deposition condition of sediment transport while DT GR and MARS outputs are close to their measured counterparts. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 5
Development of a Novel Spherical Light-Based Positioning Sensor in Solar Tracking
(MDPI, 2023-04-09) Oguz Gora; Taner Akkan; Gora, Oğuz; Akkan, Taner
Tracking of the sun which increases the efficiency of solar energy production systems has shown considerable development in recent years. This development has been achieved by custom-positioned light sensors image cameras sensorless chronological systems and intelligent controller supported systems or by synergetic use of these systems. This study contributes to this research area with a novel spherical-based sensor which measures spherical light source emittance and localizes the light source. This sensor was built by using miniature light sensors placed on a spherical shaped three-dimensional printed body with data acquisition electronic circuitry. Besides the developed sensor data acquisition embedded software preprocessing and filtering processes were conducted on these measured data. In the study the outputs of Moving Average Savitzky-Golay and Median filters were used for the localization of the light source. The center of gravity for each filter used was determined as a point and the location of the light source was determined. The spherical sensor system obtained by this study is applicable for various solar tracking methods. The approach of the study also shows that this measurement system is applicable for obtaining the position of local light sources such as the ones placed on mobile or cooperative robots.
Citation - WoS: 12
Citation - Scopus: 13
Effect of Aldehyde and Carboxyl Functionalities on the Surface Chemistry of Biomass-Derived Molecules
(American Chemical Society service@acs.org, 2017-10-19) Başar Ca̧ǧlar; J. W.Hans Niemantsverdriet; C. J. Weststrate; Weststrate, C.J.; Caglar, Basar; Niemantsverdriet, J.W.
The adsorption and decomposition of acetaldehyde and acetic acid were studied on Rh(100) to gain insight into the interaction of aldehyde and carboxyl groups of biomass-derived molecules with the surface. Temperature-programmed reaction spectroscopy (TPRS) was used to monitor gaseous reaction products whereas Reflection absorption infrared spectroscopy (RAIRS) was used to determine the nature of surface intermediates and reaction paths. The role of adsorbate interactions in oxygenate decomposition chemistry was also investigated by varying the surface coverage. Acetaldehyde adsorbs in an η2(C O) configuration for all coverages where the carbonyl group binds to the surface via the C and O atoms. Decomposition occurs below room temperature (180-280 K) via C-H and C-C bond breaking which releases CO H and CHx species on the surface. At low coverage CHx dehydrogenation dominates and surface carbon is produced alongside H2 and CO. At high coverage about 60% of the CHx hydrogenates to form methane whereas only 40% of the CHx decomposes further to surface carbon. Acetic acid adsorbs dissociatively on the Rh(100) surface via O-H bond scission forming a mixture of mono- and bidentate acetate. The decomposition of acetate proceeds via two different pathways: (i) deoxygenation via C-O and C-C bond scissions and (ii) decarboxylation via C-C bond scission. At low coverage the decarboxylation pathway dominates a process that occurs at slightly above room temperature (280-360 K) and produces CO2 and CHx where the latter decomposes further to surface carbon and H2. At high coverage both decarboxylation and deoxygenation occur slightly above room temperature (280-360 K). The resulting O adatoms produced in the deoxygenation path react with surface hydrogen or CO to form water and CO2 respectively. The CHx species dehydrogenate to surface carbon for all coverages. Our findings suggest that oxygenates with a C=O functionality and an alkyl end react on the Rh(100) surface to produce synthesis gas and small hydrocarbons whereas CO2 and synthesis gas are produced when oxygenates with a COOH functionality and an alkyl end react with the Rh(100) surface. For both cases carbon accumulation occurs on the surface. © 2017 Elsevier B.V. All rights reserved.
Citation - WoS: 9
Citation - Scopus: 9
Effects of self-referencing on feeling-of-knowing accuracy and recollective experience
(ROUTLEDGE JOURNALS TAYLOR & FRANCIS LTD, 2014-06-17) Aysecan Boduroglu; Didem Pehlivanoglu; Ali I. Tekcan; Aycan Kapucu; Pehlivanoglu, Didem; Boduroglu, Aysecan; Kapucu, Aycan; Tekcan, Ali I.
The current research investigated the impact of self-referencing (SR) on feeling-of-knowing (FOK) judgements to improve our understanding of the mechanisms underlying these metamemory judgements and specifically test the relationship between recollective experiences and FOK accuracy within the accessibility framework FOK judgements are thought to be by-products of the retrieval process and are therefore closely related to memory performance. Because relating information to one's self is one of the factors enhancing memory performance we investigated the effect of self-related encoding on FOK accuracy and recollective experience. We compared performance on this condition to a separate deep processing condition in which participants reported the frequency of occurrence of pairs of words. Participants encoded pairs of words incidentally and following a delay interval they attempted at retrieving each target prompted by its cue. Then they were re-presented with all cues and asked to provide FOK ratings regarding their likelihood of recognising the targets amongst distractors. Finally they were given a surprise recognition task in which following each response they identified whether the response was remembered known or just guessed. Our results showed that only SR at encoding resulted in better memory higher FOK accuracy and increased recollective experience.
Face Pose Alignment with Event Cameras
(MDPI, 2020-12-10) Arman Savran; Chiara Bartolozzi
Event camera (EC) emerges as a bio-inspired sensor which can be an alternative or complementary vision modality with the benefits of energy efficiency high dynamic range and high temporal resolution coupled with activity dependent sparse sensing. In this study we investigate with ECs the problem of face pose alignment which is an essential pre-processing stage for facial processing pipelines. EC-based alignment can unlock all these benefits in facial applications especially where motion and dynamics carry the most relevant information due to the temporal change event sensing. We specifically aim at efficient processing by developing a coarse alignment method to handle large pose variations in facial applications. For this purpose we have prepared by multiple human annotations a dataset of extreme head rotations with varying motion intensity. We propose a motion detection based alignment approach in order to generate activity dependent pose-events that prevents unnecessary computations in the absence of pose change. The alignment is realized by cascaded regression of extremely randomized trees. Since EC sensors perform temporal differentiation we characterize the performance of the alignment in terms of different levels of head movement speeds and face localization uncertainty ranges as well as face resolution and predictor complexity. Our method obtained 2.7% alignment failure on average whereas annotator disagreement was 1%. The promising coarse alignment performance on EC sensor data together with a comprehensive analysis demonstrate the potential of ECs in facial applications.
Citation - WoS: 11
Citation - Scopus: 10
Factors Relating to Decision Delay in the Emergency Department: Effects of Diagnostic Tests and Consultations
(Dove Medical Press Ltd, 2023-04) Mustafa Gökalp Ataman; Gorkem Sariyer; Caner Saǧlam; Arif Karagöz; Erden Erol Ünlüer; Ataman, Mustafa Gokalp; Sariyer, Gorkem; Karagoz, Arif; Unluer, Erden Erol; Saglam, Caner
Purpose: The purpose of this study is to investigate the factors increasing waiting time (WT) and length of stay (LOS) in patients which may cause delays in decision-making in the emergency departments (ED). Patients and Methods: Patients who arrived at a training hospital in the central region of Izmir City Turkey during the first quarter of 2020 were retrospectively analyzed. WT and LOS were the outcome variables of the study and gender age arrival type triage level determined based on the clinical acuity diagnosis encoded based on International Classification of Diseases-10 (ICD-10) the existence of diagnostic tests or consultation status were the identified factors. The significance of the differences in WT and LOS values based on each level of these factors was analyzed using independent sample t-tests and ANOVA. Results: While patients for which no diagnostic testing or consultation was requested had a significantly higher WT in EDs their LOS values were substantially lower than those for which at least one diagnostic test or consultation was ordered (p≤0.001). Besides elderly and red zone patients and those who arrived by ambulance had significantly lower WT and higher LOS values than other levels for all groups of patients for which laboratory-type or imaging-type diagnostic test or consultation was requested (p≤0.001 for each comparison). Conclusion: Besides ordering diagnostic tests or consultation in EDs different factors may extend patients’ WT and LOS values and cause significant decision-making delays. Understanding the patient characteristics associated with longer waiting times and LOS values and thus delayed decisions will enable practitioners to improve operations management in EDs. © 2023 Elsevier B.V. All rights reserved.
Feedback network controls photoreceptor output at the layer of first visual synapses in Drosophila
(ROCKEFELLER UNIV PRESS, 2006-04-24) L Zheng; GG Polavieja; V Wolfram; MH Asyali; RC Hardie; M Juusola
At 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.
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, 2025-01) Yildiz-Ozturk, Ece
Goji 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.
Citation - WoS: 13
Hemophagocytic lymphohistiocytosis associated with H1N1 virus infection and visceral leishmaniasis in a 4.5-month-old infant
(SOC BRASILEIRA MEDICINA TROPICAL, 2012-06) Yilmaz Ay; Basak Yildiz; Hale Tuhan; Deniz Yilmaz Karapinar; Fadil Vardar; Tuhan, Hale; Ay, Yilmaz; Yildiz, Basak; Vardar, Fadil; Karapinar, Deniz Yilmaz
We present a case of a 4.5-month-old boy from Turkey with hemophagocytic lymphohistiocytosis (HLH) associated with H1N1 virus and Leishmania spp. coinfection. Because visceral leishmaniasis can mimic hematologic disorders like HLH it is important to rule out this clinical condition before starting immunosuppressive therapy. In our case treatment with liposomal amphotericin B resulted in a dramatic resolution of clinical and laboratory abnormalities.
Highlighting the rules between diagnosis types and laboratory diagnostic tests for patients of an emergency department: Use of association rule mining
(SAGE PUBLICATIONS INC, 2019-09-30) Gorkem Sariyer; Ceren Ocal Tasar
Diagnostic tests are widely used in emergency departments to make detailed investigations on diagnosis and treat patients correctly. However since these tests are expensive and time-consuming ordering correct tests for patients is crucial for efficient use of hospital resources. Thus understanding the relation between diagnosis and diagnostic test requirement becomes an important issue in emergency departments. Association rule mining was used to extract hidden patterns and relation between diagnosis and diagnostic test requirement in real-life medical data received from an emergency department. Apriori was used as an association rule mining algorithm. Diagnosis was grouped into 21 categories based on International Classification of Disease and laboratory tests were grouped into four main categories (hemogram biochemistry cardiac enzyme urine and human excrement related). Both positive and negative rules were discovered. Since the nature of the data had the dominance of negative values higher number of negative rules with higher confidences were discovered compared to positive ones. The extracted rules were validated by emergency department experts and practitioners. It was concluded that understanding the association between patient's diagnosis and diagnostic test requirement can improve decision-making and efficient use of resources in emergency departments. Association rules can also be used for supporting physicians to treat patients.
Citation - WoS: 5
Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport
(MARY ANN LIEBERT INC, 2024-08-01) Enes Gul; Mir Jafar Sadegh Safari; Gul, Enes; Safari, Mir Jafar Sadegh
Sediment transport modeling is an important problem to minimize sedimentation in open channels that could lead to unexpected operation expenses. From an engineering perspective the development of accurate models based on effective variables involved for flow velocity computation could provide a reliable solution in channel design. Furthermore validity of sediment transport models is linked to the range of data used for the model development. Existing design models were established on the limited data ranges. Thus the present study aimed to utilize all experimental data available in the literature including recently published datasets that covered an extensive range of hydraulic properties. Extreme learning machine (ELM) algorithm and generalized regularized extreme learning machine (GRELM) were implemented for the modeling and then particle swarm optimization (PSO) and gradient-based optimizer (GBO) were utilized for the hybridization of ELM and GRELM. GRELM-PSO and GRELM-GBO findings were compared to the standalone ELM GRELM and existing regression models to determine their accurate computations. The analysis of the models demonstrated the robustness of the models that incorporate channel parameter. The poor results of some existing regression models seem to be linked to the disregarding of the channel parameter. Statistical analysis of the model outcomes illustrated the outperformance of GRELM-GBO in contrast to the ELM GRELM GRELM-PSO and regression models although GRELM-GBO performed slightly better when compared to the GRELM-PSO counterpart. It was found that the mean accuracy of GRELM-GBO was 18.5% better when compared to the best regression model. The promising findings of the current study not only may encourage the use of recommended algorithms for channel design in practice but also may further the application of novel ELM-based methods in alternative environmental problems.
Citation - WoS: 3
Citation - Scopus: 6
Impact of IoT System Imperfections and Passenger Errors on Cruise Ship Evacuation Delay
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-03-13) Yuting Ma; Erol Gelenbe; Kezhong Liu; Liu, Kezhong; Ma, Yuting; Gelenbe, Erol
Cruise ships and other naval vessels include automated Internet of Things (IoT)-based evacuation systems for the passengers and crew to assist them in case of emergencies and accidents. The technical challenges of assisting passengers and crew to safety during emergencies include various aspects such as sensor failures imperfections in the sound or display systems that are used to direct evacuees the timely selection of optimum evacuation routes for the evacuees as well as computation and communication delays that may occur in the IoT infrastructure due to intense activities during an emergency. In addition during an emergency the evacuees may be confused or in a panic and may make mistakes in following the directions offered by the evacuation system. Therefore the purpose of this work is to analyze the effect of two important aspects that can have an adverse effect on the passengers’ evacuation time namely (a) the computer processing and communication delays and (b) the errors that may be made by the evacuees in following instructions. The approach we take uses simulation with a representative existing cruise ship model which dynamically computes the best exit paths for each passenger with a deadline-driven Adaptive Navigation Strategy (ANS). Our simulation results reveal that delays in the evacuees’ reception of instructions can significantly increase the total time needed for passenger evacuation. In contrast we observe that passenger behavior errors also affect the evacuation duration but with less effect on the total time needed to evacuate passengers. These findings demonstrate the importance of the design of passenger evacuation systems in a way that takes into account all realistic features of the ship’s indoor evacuation environment including the importance of having high-performance data processing and communication systems that will not result in congestion and communication delays. © 2024 Elsevier B.V. All rights reserved.
Magnitude-space representations in the n-back task: Long-term representations of magnitudes alter the working memory performance
(Springer, 2024-12-20) Ilgım Hepdarcan; Hakan Çetinkaya; Seda Dural; Dural, Seda; Cetinkaya, Hakan; Hepdarcan, Ilgim
Prior research has predominantly examined the role of working memory (WM) in tasks involving numerical information and spatial properties such as memorizing number sequences and performing parity judgment and magnitude comparison. In contrast to focusing solely on the effect of WM on number judgment tasks our study investigates how magnitude-space associations affect WM task performance emphasizing long-term representations specifically the concept of mental number line (MNL) compatibility (small items on the left large items on the right) in long-term memory (LTM). Moving from the idea of representations within LTM contribute to the functioning of WM during task execution we explore the effects of congruent incongruent and negative congruent numerical and non-numerical magnitude–space associations on magnitude-based 1-back (low WM load) and 2-back (high WM load) tasks. MNL compatible n-back and test items are congruent MNL compatible n-back and MNL incompatible (small on the right large on the left) test items (or vice versa) are incongruent and MNL incompatible n-back and test items are considered negative congruent. Because negative congruent and incongruent representations may not activate existing representations in LTM as congruent representations we expected worse WM performance in negative congruent and incongruent trials than in congruent trials. Results reveal that congruent and incongruent representations elicit more accurate and rapid responses than negative congruents suggesting that congruent and incongruent representations contribute to task execution. Additionally we observe a size effect for small numerical magnitudes and a reverse size effect for large physical magnitudes pointing towards the coactivation of LTM and WM in magnitude–space relations. © 2025 Elsevier B.V. All rights reserved.
One direction? Cultural aspects of the mental number line beyond reading direction
(SPRINGER HEIDELBERG, 2024-12-23) Merve Bulut; Lilly Roth; Narjes Bahreini; Krzysztof Cipora; Ulf Dietrich Reips; Hans-Christoph Nuerk
Spatial-Numerical Associations (SNAs) refer to the demonstrations of spatial processing of numbers. The Mental Number Line (MNL) is a representation model describing numbers as aligning left-to-right (LR) and was suggested to account for directional biases in participants' responses during numerical tasks. One common behavioral demonstration of this is the Spatial-Numerical Associations of Response Codes (SNARC) effect which describes faster left-/right-hand responses to smaller/larger numbers respectively. The MNL and consequently directional SNAs show variabilities across different cultures. Reading direction is considered to be the main factor in explaining these differences. In line with this individuals with right-to-left (RL) reading habits show a weaker or even reverse SNARC effect. In the present study we investigated whether SNAs are influenced not only by reading direction but also by cultural directional preferences such as drawing lines arranging objects imagining objects (i.e. rightward or leftward facing) or representing events in time (i.e. mentally representing the past/future on the left/right respectively). To test this hypothesis we measured the cultural directional preferences and the SNARC effect across three cultures in an online setup, German Turkish and Iranian. LR preferences in the Cultural Directional Preferences Questionnaire were most prominent in German participants intermediate in Turkish participants and least prominent in Iranian participants. In line with this the LR SNARC effect was strongest in German intermediate in Turkish and weakest (but not RL) in Iranian culture. These findings suggest that cultural directional preferences are involved in the emergence of adult SNAs in addition to the reading direction.
Citation - WoS: 2
Citation - Scopus: 2
Optimization of Green Extraction Techniques for Polyphenolics in Pinus brutia Bark Extract and Steam Gasification of the Remaining Fraction to Obtain Hydrogen-Rich Syngas and Activated Carbon
(American Chemical Society, 2024-12-13) Ece Yildiz-Ozturk; Pelin Secim-Karakaya; Fikret Müge Alptekin; Melih Soner Celiktas; Secim-Karakaya, Pelin; Celiktas, Melih Soner; Alptekin, Fikret Muge; Yildiz-Ozturk, Ece
Utilization of renewable resources has become imperative and considerable efforts have been devoted to tackling diverse global sustainability challenges which contribute to the circular economy. The focus of this work was to optimize the extraction of polyphenolic compounds in Pinus brutia bark using microwave-assisted (MAE) and ultrasonically assisted (UAE) extractions and evaluate the biological efficacies of the extracts. Additionally the residue of the extracted pine bark was subjected to steam gasification to produce hydrogen-rich syngas and activated carbon. The optimum process parameters for MAE were determined as 70 °C 10 min and 900 W and 987.32 mg gallic acid equivalent (GAE) 23.7 mg quercetin/g extract and 86.2% antioxidant activity were obtained. The optimum process parameters for UAE were determined as 70 °C 20 min and 50% power and 811.84 mg gallic acid equivalent (GAE) 30.1 mg quercetin/g extract and 90.8% antioxidant efficiency were obtained. The extracts obtained under optimized conditions were assessed for the bioactive phenolic compounds taxifolin (−)-catechin (−)-epicatechin and (−)-epicatechin gallate by ultra performance liquid chromatography (UPLC). Especially in MAE (ethanol) taxifolin content was notable (34.0 mg/g extract) followed by UAE (ethanol) (23.5 mg/g extract). Compared to MAE (ethanol) and UAE (ethanol) with regards to catechin content 1.05 mg/g extract and 0.81 mg/g extract were obtained respectively. Catalytic and noncatalytic steam gasification of pine bark residue yielded 57.3 and 60.8 mol % H2 respectively. In addition excellent tar reduction was achieved through utilizing a 10% boron-modified CaO alkali catalyst and the obtained activated carbon exhibited 1358.32 m2/g Brunauer-Emmett-Teller (BET) surface area and 1.05 cm3/g total pore volume which has potential use as an adsorbent for removing heavy metals and electrode material for supercapacitor application. © 2024 Elsevier B.V. All rights reserved.
Reduction of biogenic amines formation by foodborne pathogens using postbiotics in lysine-decarboxylase broth
(ELSEVIER, 2022-11) Nurten Yilmaz; Fatih Ozogul; Mehran Moradi; Eylem Ezgi Fadiloglu; Vida Simat; Joao Miguel Rocha
Postbiotics is a novel term proposed to describe as a set of bioactive compounds obtained from beneficial mi-croorganisms. In this work postbiotics from four lactic acid bacteria (LAB) including Leuconostoc mesenteroides subsp. cremoris Pediococcus acidilactici Lactococcus lactis subsp. lactis and Streptococcus thermophilus were pre-pared in MRS broth. The antimicrobial properties and organic acids content of postbiotics were also investigated. Postbiotics were used to tentatively reduce the production of biogenic amines by foodborne pathogens (i.e. Salmonella paratyphi A and Escherichia coli) on lysine decarboxylase broth (LDB). Experimental data showed that acetic propionic and butyric acids were in the range of 387.51-709.21 mg/L 0.00-1.28 mg/L and 0.00-20.98 mg/L respectively. The inhibition zone of postbiotics on E. coli and S. paratyphi A were 11.67 and 12.33 mm respectively. Two different levels of postbiotics (25% and 50%) were used in LDB to measure the diamines (cadaverine and putrescine) polyamines (agmatine spermidine and spermine ammonia) and other biogenic amine formation by pathogens. E. coli produced cadaverine and putrescine with concentrations of 1072.21 and 1114.18 mg/L respectively. The postbiotics reduced cadaverine formation by 67% in E. coli and cadaverine production was mostly suppressed by postbiotics from P. acidilactici in E. coli (97%) and L. lactis subsp. lactis in S. paratyphi A (90%). Putrescine production by E. coli was reduced by 94% with postbiotics of P. acidilactici at a concentration of 25% whereas putrescine production by S. paratyphi A has been decreased by 61% in the presence of postbiotics from L. lactis subsp. Lactis with a 25% concentration. The results revealed that an increase in postbiotics concentration (from 25% to 50%) in LDB may lead to synergistic effects resulting from the pro-duction of biogenic amines by microbial pathogens. It was importantly concluded that postbiotics of LAB may degrade biogenic amines or prevent their formation by foodborne pathogens.

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