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

    Akgün, Birol / Alpaydın, Yusuf

    Comparative Perspectives

    (Maarif Global Education Series)

    2022  

    Series title Maarif Global Education Series
    Keywords 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
    Language 0|e
    Size 1 electronic resource (292 pages)
    Publisher Springer Nature
    Publishing place Singapore
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021610739
    ISBN 9789811916045 ; 9811916047
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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

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

    Neurology India

    2024  Volume 72, Issue 2, Page(s) 429–430

    MeSH term(s) 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
    Language English
    Publishing date 2024-04-30
    Publishing country India
    Document type 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
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Akkopru-Akgun, Betul / Trolier-McKinstry, Susan

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 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
    Language English
    Publishing date 2023-05-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16113970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; 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
    Keywords Computer Science - Machine Learning
    Publishing date 2023-08-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; 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  Volume 58, Issue 1, Page(s) 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 term(s) COVID-19 ; Cognition ; Cross-Sectional Studies ; Humans ; Male ; Pandemics ; SARS-CoV-2 ; Spouses ; Turkey/epidemiology
    Language English
    Publishing date 2021-04-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 391097-0
    ISSN 1744-6163 ; 0031-5990
    ISSN (online) 1744-6163
    ISSN 0031-5990
    DOI 10.1111/ppc.12795
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; 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  

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

    Abstract İntroduction: Today, preoperative fasting guidelines have changed, allowing clear liquid intake up to 1 hour 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 hour before surgery on child anxiety and gastric volumes.
    Methods: A prospective, randomized, controlled study included 90 patients aged 5-12 years. Group F (n = 30): Standard fasting group. Group W (n = 30): Patients who received oral water at a dose of 5 mL/kg 1 hour before surgery. Group C (n = 30): Patients who received oral carbohydrate fluid at a dose of 5 mL/kg 1 hour before surgery. All patients were assessed using the modified Yale Preoperative Anxiety Scale (m-YPAS) before and 1 hour 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 hour 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 hour before surgery can significantly reduce preoperative anxiety in pediatric patients without increasing the risk of aspiration.
    Language English
    Publishing date 2024-04-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 205700-1
    ISSN 1421-9921 ; 0014-312X
    ISSN (online) 1421-9921
    ISSN 0014-312X
    DOI 10.1159/000538842
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; 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
    Keywords Computer Science - Robotics ; Computer Science - Computer Vision and Pattern Recognition ; I.2.9
    Subject code 004
    Publishing date 2022-12-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; 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.
    Keywords Computer Science - Robotics
    Subject code 629
    Publishing date 2023-01-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: [DEYCKE PASHA AND THE LÜBECK DISASTER].

    Akgün, Burhan / Hot, İnci

    Yeni tip tarihi arastirmalari = The new history of medicine studies

    2019  , Issue 21, Page(s) 11–37

    Abstract: Dr. Georg Deycke, known as Deycke Pasha in Turkey, came to Istanbul in 1898 with Prof. Robert Rieder in order to reorganize the Imperial Medical School. Prof Rieder es- tablished a new training hospital named as The Giilhane Clinics and Dr. Deycke worked ...

    Abstract Dr. Georg Deycke, known as Deycke Pasha in Turkey, came to Istanbul in 1898 with Prof. Robert Rieder in order to reorganize the Imperial Medical School. Prof Rieder es- tablished a new training hospital named as The Giilhane Clinics and Dr. Deycke worked there until 1904 as the vice director. After Rieder left Turkey, he became the director to the hospital and served until the end of his contract in 1907. So after that time we know very less of his life and works. As well as its almost unknown that he was responsible for the BCG inoculation misfortune in Lübeck in 1930. Oral tuberculosis vaccine (BCG) was developed by Calmette and Gu6rin in 1921 after thirteen-year old preliminary work. Until 1928, before the BCG vaccination was begun in Germany, 150,000 children had been inoculated abroad. In 1929, Dr. Altstaedt, the director of the public health authorities in Lübeck, and Dr. George Deycke, the director of the gene- ral hospital in Lübeck, decided to introduce the inoculation at newborn children in Lübeck. At the beginning of August 1929, the original BCG culture, obtained from the Pasteur Insti- tute of Paris, was used to produce vaccine in the laboratory of the general hospital under the patronage of Dr. Deycke. The vaccination was begun in February 1930 and in the following two months 256 newborn children (about 84% of all newborn children) in Lübeck were inoculated orally against tuberculosis. In April 17th the first child died of tuberculosis and after it was followed by three more deaths Dr. Deycke stopped the inoculation. The large number of the inoculated children became ill and finally 75 of them died of tuberculosis. Dr. Deycke and those who assisted him were put on trial on October 12, 1931. A scientific committee was ordered to investigate what caused such a catastrophe. On February 6th 1932, after 76 days of inquiries and trials, Dr. Deycke was found guilty of negligent killing and negligent bodily injury and sentenced two years in prison. In this paper, both the life and the works of Deycke Pasha after the year 1907, and the details of Lübeck Disaster and the lessons learned from it will be discussed in detail.
    MeSH term(s) BCG Vaccine/adverse effects ; BCG Vaccine/history ; Drug Contamination ; History, 19th Century ; History, 20th Century ; Humans ; Infant, Newborn ; Malpractice/history ; Malpractice/legislation & jurisprudence ; Schools, Medical/history ; Tuberculosis/history ; Tuberculosis/mortality ; Tuberculosis/prevention & control ; Turkey/epidemiology ; Vaccination/history
    Chemical Substances BCG Vaccine
    Language Turkish
    Publishing date 2019-01-24
    Publishing country Turkey
    Document type Biography ; Historical Article ; Journal Article ; Portrait
    ISSN 1300-669X
    ISSN 1300-669X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; 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  Volume 4, Page(s) 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.
    Language English
    Publishing date 2022-06-17
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2624-9367
    ISSN (online) 2624-9367
    DOI 10.3389/fspor.2022.939641
    Database MEDical Literature Analysis and Retrieval System OnLINE

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