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  1. Buch ; Online: Education Policies in the 21st Century

    Akgün, Birol / Alpaydın, Yusuf

    Comparative Perspectives

    (Maarif Global Education Series)

    2022  

    Serientitel Maarif Global Education Series
    Schlagwörter Central government policies ; Higher & further education, tertiary education ; Education ; Economics ; Education Policies ; International Education ; Global Education ; Cultural Diplomacy ; Education Finance ; Political Economy ; New Trends in Education Systems
    Sprache 0|e
    Umfang 1 electronic resource (292 pages)
    Verlag Springer Nature
    Erscheinungsort Singapore
    Dokumenttyp Buch ; Online
    Anmerkung English ; Open Access
    HBZ-ID HT021610739
    ISBN 9789811916045 ; 9811916047
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel ; Online: A Large Intracranial Cystic Cavernous Angioma.

    Akgun, Bekir / Aytekın, Akin / Balta, Hilal / Yıldırım, Gokhan

    Neurology India

    2024  Band 72, Heft 2, Seite(n) 429–430

    Mesh-Begriff(e) Humans ; Hemangioma, Cavernous/diagnostic imaging ; Hemangioma, Cavernous/surgery ; Hemangioma, Cavernous/pathology ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Magnetic Resonance Imaging ; Male ; Hemangioma, Cavernous, Central Nervous System/diagnostic imaging ; Hemangioma, Cavernous, Central Nervous System/pathology ; Hemangioma, Cavernous, Central Nervous System/surgery ; Adult ; Female
    Sprache Englisch
    Erscheinungsdatum 2024-04-30
    Erscheinungsland India
    Dokumenttyp Case Reports ; Letter ; Journal Article
    ZDB-ID 415522-1
    ISSN 1998-4022 ; 0028-3886
    ISSN (online) 1998-4022
    ISSN 0028-3886
    DOI 10.4103/NI.Neurol-India-D-23-00268
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Buch ; Online: BarlowRL

    Cagatan, Omer Veysel / Akgun, Baris

    Barlow Twins for Data-Efficient Reinforcement Learning

    2023  

    Abstract: This paper introduces BarlowRL, a data-efficient reinforcement learning agent that combines the Barlow Twins self-supervised learning framework with DER (Data-Efficient Rainbow) algorithm. BarlowRL outperforms both DER and its contrastive counterpart ... ...

    Abstract This paper introduces BarlowRL, a data-efficient reinforcement learning agent that combines the Barlow Twins self-supervised learning framework with DER (Data-Efficient Rainbow) algorithm. BarlowRL outperforms both DER and its contrastive counterpart CURL on the Atari 100k benchmark. BarlowRL avoids dimensional collapse by enforcing information spread to the whole space. This helps RL algorithms to utilize uniformly spread state representation that eventually results in a remarkable performance. The integration of Barlow Twins with DER enhances data efficiency and achieves superior performance in the RL tasks. BarlowRL demonstrates the potential of incorporating self-supervised learning techniques to improve RL algorithms.

    Comment: ACML 2023, Camera-Ready Version
    Schlagwörter Computer Science - Machine Learning
    Erscheinungsdatum 2023-08-08
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel: Tuning Nb Solubility, Electrical Properties, and Imprint through PbO Stoichiometry in PZT Films.

    Akkopru-Akgun, Betul / Trolier-McKinstry, Susan

    Materials (Basel, Switzerland)

    2023  Band 16, Heft 11

    Abstract: Lead zirconate titanate (PZT) films with high Nb concentrations (6-13 mol%) were grown by chemical solution deposition. In concentrations up to 8 mol% Nb, the films self-compensate the stoichiometry; single phase films were grown from precursor solutions ...

    Abstract Lead zirconate titanate (PZT) films with high Nb concentrations (6-13 mol%) were grown by chemical solution deposition. In concentrations up to 8 mol% Nb, the films self-compensate the stoichiometry; single phase films were grown from precursor solutions with 10 mol% PbO excess. Higher Nb concentrations induced multi-phase films unless the amount of excess PbO in the precursor solution was reduced. Phase pure perovskite films were grown with 13 mol% excess Nb with the addition of 6 mol% PbO. Charge compensation was achieved by creating lead vacancies when decreasing excess PbO level; using Kroger-Vink notation, NbTi• are ionically compensated by VPb″ to maintain charge neutrality in heavily Nb-doped PZT films. With Nb doping, films showed suppressed {100} orientation, the Curie temperature decreased, and the maximum in the relative permittivity at the phase transition broadened. The dielectric and piezoelectric properties were dramatically degraded due to increased quantity of the non-polar pyrochlore phase in multi-phase films; εr reduced from 1360 ± 8 to 940 ± 6, and the remanent d
    Sprache Englisch
    Erscheinungsdatum 2023-05-25
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16113970
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Interpersonal cognitive distortions and family role performances in spouses during COVID-19 pandemic process in Turkey.

    Aydın, Adeviye / Malak Akgün, Bahanur

    Perspectives in psychiatric care

    2021  Band 58, Heft 1, Seite(n) 189–196

    Abstract: Purpose: This study aimed to examine the relationship between interpersonal cognitive distortions and family role performances in spouses during the pandemic process.: Design and methods: This cross-sectional study was conducted on 402 married ... ...

    Abstract Purpose: This study aimed to examine the relationship between interpersonal cognitive distortions and family role performances in spouses during the pandemic process.
    Design and methods: This cross-sectional study was conducted on 402 married individuals.
    Findings: The total score of interpersonal cognitive distortions and task performance scores were higher in males. The individuals who go to the workplace during the Coronavirus disease 2019 (COVID-19) process have higher unrealistic relationship expectancy score and total score of interpersonal cognitive distortion. Interpersonal cognitive distortions were determined to explain 5% of task and relationship performance in family role performance.
    Practice implications: It was determined that the relationships in the spouses were associated with cognitive distortions and family role performance. Interpersonal cognitive distortions in spouses were found to affect role performance in the family.
    Mesh-Begriff(e) COVID-19 ; Cognition ; Cross-Sectional Studies ; Humans ; Male ; Pandemics ; SARS-CoV-2 ; Spouses ; Turkey/epidemiology
    Sprache Englisch
    Erscheinungsdatum 2021-04-19
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 391097-0
    ISSN 1744-6163 ; 0031-5990
    ISSN (online) 1744-6163
    ISSN 0031-5990
    DOI 10.1111/ppc.12795
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: The Effect of Oral Fluid Administration 1 Hour before Surgery on Preoperative Anxiety and Gastric Volume in Pediatric Patients.

    Bozoglu Akgun, Burcu / Hatipoglu, Zehra / Gulec, Ersel / Turktan, Mediha / Ozcengiz, Dilek

    European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes

    2024  Band 65, Heft 1, Seite(n) 54–59

    Abstract: Introduction: Today, preoperative fasting guidelines have changed, allowing clear liquid intake up to 1 h before surgery. However, concerns remain regarding the risk of aspiration associated with clear liquid intake. This study aimed to investigate the ... ...

    Abstract Introduction: Today, preoperative fasting guidelines have changed, allowing clear liquid intake up to 1 h before surgery. However, concerns remain regarding the risk of aspiration associated with clear liquid intake. This study aimed to investigate the impact of clear fluid given 1 h before surgery on child anxiety and gastric volumes.
    Methods: A prospective, randomized, controlled study included 90 patients aged 5-12 years. The patients were randomly allocated into three groups by a computer-generated randomization: group F (n = 30): standard fasting group, group W (n = 30): patients who received oral water at a dose of 5 mL/kg 1 h before surgery, group C (n = 30): patients who received oral carbohydrate fluid at a dose of 5 mL/kg 1 h before surgery. All patients were assessed using the modified Yale Preoperative Anxiety Scale (m-YPAS) before and 1 h after fluid administration. Antral cross-sectional area (CSA) was measured with ultrasonography after intubation, and gastric residual volume (GRV) was calculated. Hemodynamic data, blood sugar level, and parental satisfaction were also recorded.
    Results: The m-YPAS scores obtained after 1 h were significantly lower in group C than in the other groups (p < 0.001). Antral CSA and GRV values were lower in group C and group W than in the fasting group (p < 0.001). Parental satisfaction was highest in group C.
    Conclusion: This study suggests that allowing a carbohydrate-rich clear liquid intake 1 h before surgery can significantly reduce preoperative anxiety in pediatric patients without increasing the risk of aspiration.
    Mesh-Begriff(e) Humans ; Child ; Female ; Male ; Anxiety/prevention & control ; Anxiety/etiology ; Child, Preschool ; Preoperative Care/methods ; Stomach/surgery ; Fasting ; Prospective Studies ; Administration, Oral
    Sprache Englisch
    Erscheinungsdatum 2024-04-12
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Randomized Controlled Trial
    ZDB-ID 205700-1
    ISSN 1421-9921 ; 0014-312X
    ISSN (online) 1421-9921
    ISSN 0014-312X
    DOI 10.1159/000538842
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Buch ; Online: Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation

    Sefercik, Bugra C. / Akgun, Baris

    2022  

    Abstract: Traditional approaches to extrinsic calibration use fiducial markers and learning-based approaches rely heavily on simulation data. In this work, we present a learning-based markerless extrinsic calibration system that uses a depth camera and does not ... ...

    Abstract Traditional approaches to extrinsic calibration use fiducial markers and learning-based approaches rely heavily on simulation data. In this work, we present a learning-based markerless extrinsic calibration system that uses a depth camera and does not rely on simulation data. We learn models for end-effector (EE) segmentation, single-frame rotation prediction and keypoint detection, from automatically generated real-world data. We use a transformation trick to get EE pose estimates from rotation predictions and a matching algorithm to get EE pose estimates from keypoint predictions. We further utilize the iterative closest point algorithm, multiple-frames, filtering and outlier detection to increase calibration robustness. Our evaluations with training data from multiple camera poses and test data from previously unseen poses give sub-centimeter and sub-deciradian average calibration and pose estimation errors. We also show that a carefully selected single training pose gives comparable results.

    Comment: 8 pages, 6 figures, Conference on Robot Learning
    Schlagwörter Computer Science - Robotics ; Computer Science - Computer Vision and Pattern Recognition ; I.2.9
    Thema/Rubrik (Code) 004
    Erscheinungsdatum 2022-12-14
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    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Buch ; Online: Keyframe Demonstration Seeded and Bayesian Optimized Policy Search

    Tore, Onur Berk / Negahbani, Farzin / Akgun, Baris

    2023  

    Abstract: This paper introduces a novel Learning from Demonstration framework to learn robotic skills with keyframe demonstrations using a Dynamic Bayesian Network (DBN) and a Bayesian Optimized Policy Search approach to improve the learned skills. DBN learns the ... ...

    Abstract This paper introduces a novel Learning from Demonstration framework to learn robotic skills with keyframe demonstrations using a Dynamic Bayesian Network (DBN) and a Bayesian Optimized Policy Search approach to improve the learned skills. DBN learns the robot motion, perceptual change in the object of interest (aka skill sub-goals) and the relation between them. The rewards are also learned from the perceptual part of the DBN. The policy search part is a semiblack box algorithm, which we call BO-PI2 . It utilizes the action-perception relation to focus the high-level exploration, uses Gaussian Processes to model the expected-return and performs Upper Confidence Bound type low-level exploration for sampling the rollouts. BO-PI2 is compared against a stateof-the-art method on three different skills in a real robot setting with expert and naive user demonstrations. The results show that our approach successfully focuses the exploration on the failed sub-goals and the addition of reward-predictive exploration outperforms the state-of-the-art approach on cumulative reward, skill success, and termination time metrics.
    Schlagwörter Computer Science - Robotics
    Thema/Rubrik (Code) 629
    Erscheinungsdatum 2023-01-19
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    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Toward Detecting the Zone of Elite Tennis Players Through Wearable Technology.

    Havlucu, Hayati / Akgun, Baris / Eskenazi, Terry / Coskun, Aykut / Ozcan, Oguzhan

    Frontiers in sports and active living

    2022  Band 4, Seite(n) 939641

    Abstract: Wearable devices fall short in providing information other than physiological metrics despite athletes' demand for psychological feedback. To address this, we introduce a preliminary exploration to track psychological states of athletes based on ... ...

    Abstract Wearable devices fall short in providing information other than physiological metrics despite athletes' demand for psychological feedback. To address this, we introduce a preliminary exploration to track psychological states of athletes based on commercial wearable devices, coach observations and machine learning. Our system collects Inertial Measuring Unit data from tennis players, while their coaches provide labels on their psychological states. A recurrent neural network is then trained to predict coach labels from sensor data. We test our approach by predicting being in the zone, a psychological state of optimal performance. We conduct two experimental games with two elite coaches and four professional players for evaluation. Our learned models achieve above 85% test accuracy, implying that our approach could be utilized to predict the zone at relatively low cost. Based on these findings, we discuss design implications and feasibility of this approach by contextualizing it in a real-life scenario.
    Sprache Englisch
    Erscheinungsdatum 2022-06-17
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ISSN 2624-9367
    ISSN (online) 2624-9367
    DOI 10.3389/fspor.2022.939641
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: Association between resilience, self-esteem and suicide probability among university students in Turkey.

    Malak-Akgün, Bahanur / Üzar-Özçetin, Yeter Sinem / Aydin, Adeviye

    Perspectives in psychiatric care

    2022  Band 58, Heft 4, Seite(n) 2524–2533

    Abstract: Purpose: This descriptive and correlational study was conducted to determine whether the self-esteem and resilience levels of students were predictors of suicide probability.: Design and methods: The survey included the demographic data sheet, ... ...

    Abstract Purpose: This descriptive and correlational study was conducted to determine whether the self-esteem and resilience levels of students were predictors of suicide probability.
    Design and methods: The survey included the demographic data sheet, Resilience scale for adults, the Rosenberg self-esteem scale, the Suicide probability scale.
    Findings: Resilience and self-esteem scores of the students were high, while the suicide probability was low. Self-esteem and resilience levels were predictors of suicide probability.
    Practice implications: This highlights the need for assessing the ongoing adjustment of students' resilience and self-esteem levels over a period and providing effective programs to help them improve their resilience and self-esteem.
    Mesh-Begriff(e) Adult ; Humans ; Universities ; Turkey ; Self Concept ; Suicide ; Students ; Probability
    Sprache Englisch
    Erscheinungsdatum 2022-04-11
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 391097-0
    ISSN 1744-6163 ; 0031-5990
    ISSN (online) 1744-6163
    ISSN 0031-5990
    DOI 10.1111/ppc.13089
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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