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31 results on '"Yanık, Hüseyin"'

5. Determination of Drug Activity on Pulmonary Arterial Hypertension using Time Domain Parameters of ECG

Author

Yanık, Hüseyin, Değirmenci, Evren, Büyükakıllı, Belgin, Çıtırık, Derya, Hallıoğlu, Olgu, Magjarevic, Ratko, Editor-in-chief, Ładyżyński, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, Eskola, Hannu, editor, Väisänen, Outi, editor, Viik, Jari, editor, and Hyttinen, Jari, editor

Published
2018
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7. Improving Turkish beginning mathematics teachers' instruction: Using five practices to maintain cognitively demanding tasks.

Author

Bağdat, Osman and Yanık, Hüseyin Bahadır

Subjects
MATHEMATICS teachers, BEGINNING teachers, CAREER development, PROFESSIONAL education, MIDDLE school teachers
Abstract

This qualitative case study investigated the improvement of two beginning middle school mathematics teachers' instruction to implement cognitively demanding tasks and to orchestrate productive discussions by using five practices framework. For this purpose, the study was carried out in two phases: pre and during the professional development (PD). Data were collected through classroom observations, student artifacts, interviews, and teachers' planning and monitoring documents. The results displayed that, before the professional development, teachers did not make plans based on student thinking, not provide adequate time for students to explore the tasks, not build an environment based on classroom discussions, and they usually implemented cognitively low-demanding tasks. Along with the professional development, teachers deeply considered on the purpose of cognitively demanding tasks, but didn't reach an expected level on detailed anticipating. They constructed a classroom setting based on students' exploration of tasks and consideration of multiple solutions. They purposefully selected and sequenced different solutions, initiate discussions to connect students' approaches and underlying concepts. However, they didn't reach the expected level of making connections among different solutions. Eventually, they mostly maintained the cognitive demand of high-level tasks in the professional development period. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Mere end lugtesans - COVID-19 er associeret med svær påvirkning af lugtesansen, smagssansen og mundfølelsen

Author

Parma, Valentina, Ohla, Kathrin, Veldhuizen, Maria G, Niv, Masha Y, Kelly, Christine E, Bakke, Alyssa J, Cooper, Keiland W, Bouysset, Cédric, Pirastu, Nicola, Dibattista, Michele, Kaur, Rishemjit, Liuzza, Marco Tullio, Pepino, Marta Y, Schöpf, Veronika, Pereda-Loth, Veronica, Olsson, Shannon B, Gerkin, Richard C, Rohlfs Domínguez, Paloma, Albayay, Javier, Farruggia, Michael C, Bhutani, Surabhi, Fjaeldstad, Alexander W, Kumar, Ritesh, Menini, Anna, Bensafi, Moustafa, Sandell, Mari, Konstantinidis, Iordanis, Di Pizio, Antonella, Genovese, Federica, Öztürk, Lina, Thomas-Danguin, Thierry, Frasnelli, Johannes, Boesveldt, Sanne, Saatci, Özlem, Saraiva, Luis R, Lin, Cailu, Golebiowski, Jérôme, Hwang, Liang-Dar, Ozdener, Mehmet Hakan, Guàrdia, Maria Dolors, Laudamiel, Christophe, Ritchie, Marina, Havlícek, Jan, Pierron, Denis, Roura, Eugeni, Navarro, Marta, Nolden, Alissa A, Lim, Juyun, Whitcroft, Katherine L, Colquitt, Lauren R, Ferdenzi, Camille, Brindha, Evelyn V, Altundag, Aytug, Macchi, Alberto, Nunez-Parra, Alexia, Patel, Zara M, Fiorucci, Sébastien, Philpott, Carl M, Smith, Barry C, Lundström, Johan N, Mucignat, Carla, Parker, Jane K, van den Brink, Mirjam, Schmuker, Michael, Fischmeister, Florian Ph S, Heinbockel, Thomas, Shields, Vonnie D C, Faraji, Farhoud, Santamaría, Enrique, Fredborg, William E A, Morini, Gabriella, Olofsson, Jonas K, Jalessi, Maryam, Karni, Noam, D’Errico, Anna, Alizadeh, Rafieh, Pellegrino, Robert, Meyer, Pablo, Huart, Caroline, Chen, Ben, Soler, Graciela M, Alwashahi, Mohammed K, Welge-Lüssen, Antje, Freiherr, Jessica, de Groot, Jasper H B, Klein, Hadar, Okamoto, Masako, Singh, Preet Bano, Hsieh, Julien W, Abdulrahman, Olagunju, Dalton, Pamela, Yan, Carol H, Voznessenskaya, Vera V, Chen, Jingguo, Sell, Elizabeth A, Walsh-Messinger, Julie, Archer, Nicholas S, Koyama, Sachiko, Deary, Vincent, Roberts, S Craig, Yanık, Hüseyin, Albayrak, Samet, Nováková, Lenka Martinec, Croijmans, Ilja, Mazal, Patricia Portillo, Moein, Shima T, Margulis, Eitan, Mignot, Coralie, Mariño, Sajidxa, Georgiev, Dejan, Kaushik, Pavan K, Malnic, Bettina, Wang, Hong, Seyed-Allaei, Shima, Yoluk, Nur, Razzaghi-Asl, Sara, Justice, Jeb M, Restrepo, Diego, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, Hayes, John E, Indústries Alimentàries, Qualitat i Tecnologia Alimentària, Tecnologia Alimentària, Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Mersin University, The Hebrew University of Jerusalem (HUJ), AbScent, Pennsylvania State University (Penn State), Penn State System, University of California [Irvine] (UC Irvine), University of California (UC), Université Côte d'Azur (UCA), University of Edinburgh, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Central Scientific Instruments Organisation (CSIR), Università degli Studi 'Magna Graecia' di Catanzaro = University of Catanzaro (UMG), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Medizinische Universität Wien = Medical University of Vienna, Groupement scientifique de Biologie et de Medecine Spatiale (GSBMS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES), Tata Institute for Fundamental Research (TIFR), Arizona State University [Tempe] (ASU), Universidad de Extremadura - University of Extremadura (UEX), Università degli Studi di Padova = University of Padua (Unipd), Yale School of Medicine [New Haven, Connecticut] (YSM), San Diego State University (SDSU), Aarhus University [Aarhus], University of Hertfordshire [Hatfield] (UH), Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), Neurosciences Sensorielles Comportement Cognition, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Turku, Aristotle University of Thessaloniki, Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Monell Chemical Senses Center, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Université de Montréal (UdeM), Wageningen University and Research Centre (WUR), Medical Science University, Sidra Medicine [Doha, Qatar], Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), University of Southern Queensland (USQ), Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), DreamAir Llc, Charles University [Prague] (CU), Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), University of Massachusetts System (UMASS), Oregon State University (OSU), Ear Institute, UCL, Lyon Neuroscience Research center, Karunya University, Biruni University, Assi Sette Llaghi Varese, Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, University of East Anglia [Norwich] (UEA), California Department of Food and Agriculture (CDFA), Unité mixte de recherche interactions plantes-microorganismes, Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Maastricht University [Maastricht], Institute for Biology - Neurobiology, Freie Universität Berlin, Karl-Franzens-Universität Graz, Howard University College of Medicine, Towson University, University of California [San Diego] (UC San Diego), Proteomics, Center for Applied Medical Research (CIMA), Stockholm University, University of Gastronomic Sciences, Iran University of Medical Sciences, Goethe Universität Frankfurt, University of Tennessee, IBM T.J. Watson Research Center, Université libre de Bruxelles (ULB), Guangzhou Medical University, Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto), Sultan Qaboos University (SQU), Federal University of Technology of Akure (FUTA), A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Hospital of Xi'an Jiaotong University, University of Pennsylvania, University of Dayton, CSIRO Agriculture and Food (CSIRO), Indiana University [Bloomington], Indiana University System, University of Northumbria at Newcastle [United Kingdom], University of Stirling, Middle East Technical University [Ankara] (METU), Utrecht University [Utrecht], Instituto Universitario del Hospital Italiano [Buenos Aires, Argentina], Institute for Research in Fundamental Sciences [Tehran] (IPM), Hebrew University of Jerusalem, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Terrazas del Club Hipico, University Medical Centre Ljubljana [Ljubljana, Slovenia] (UMCL), Tata Institute of Fundamental Research [Bangalore], Universidade de São Paulo = University of São Paulo (USP), University of Florida [Gainesville] (UF), University of Colorado Anschutz [Aurora], Center for Smell and Taste, Department of Food Science, Pennsylvania State University., Julien, Sabine, Tıp Fakültesi, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, Department of Food and Nutrition, Senses and Food, Research Center Jülich, University of California [Irvine] (UCI), University of California, Università degli studi di Bari Aldo Moro (UNIBA), Università degli Studi 'Magna Graecia' di Catanzaro [Catanzaro, Italie] (UMG), University of Extremadura, University of Padova, Yale University School of Medicine, Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, University of Helsinki, Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institute of Agrifood Research and Technology (IRTA), Universita degli Studi di Padova, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Karl-Franzens-Universität [Graz, Autriche], University of California San Diego Health, University of Brussels, University of Pennsylvania [Philadelphia], Tata Institute of Fundamental Research, University of São Paulo (USP), UCL - SSS/IONS - Institute of NeuroScience, FSE Campus Venlo, and RS: FSE UCV

Subjects
Male, Taste, Physiology, Smagstab, Audiology, AcademicSubjects/SCI01180, Settore BIO/09 - Fisiologia, Behavioral Neuroscience, chemistry.chemical_compound, Olfaction Disorders, Taste Disorders, 0302 clinical medicine, RATINGS, Hyposmia, Surveys and Questionnaires, CHEMOSENSITIVITY, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Viral, PALADAR, 030223 otorhinolaryngology, Sensory Science and Eating Behaviour, media_common, TASTE, US NATIONAL-HEALTH, [SDV.IDA] Life Sciences [q-bio]/Food engineering, Middle Aged, Biological Sciences, 16. Peace & justice, Sensory Systems, 3. Good health, Smell, GCCR Group Author, ddc:540, Smell loss, Female, Original Article, medicine.symptom, Corrigendum, Coronavirus Infections, olfaction, Adult, somatosensation, medicine.medical_specialty, 663/664, Coronavirus disease 2019 (COVID-19), OLFACTORY DISORDERS, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), media_common.quotation_subject, Pneumonia, Viral, head and neck surgery, Aged, Betacoronavirus, COVID-19, Humans, Pandemics, SARS-CoV-2, Self Report, Somatosensory Disorders, Young Adult, Anosmia, Sensory system, Olfaction, 03 medical and health sciences, Chemesthesis, Physiology (medical), Perception, medicine, Neurology & Neurosurgery, Behaviour Change and Well-being, business.industry, R-PACKAGE, 3112 Neurosciences, Pneumonia, Parosmia, COMPONENT, Smagssans, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Sensoriek en eetgedrag, chemistry, Lugtetab, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, 030217 neurology & neurosurgery, Lugtesans
Abstract

Correction: Chemical Senses, Volume 46, 2021, bjab050, https://doi.org/10.1093/chemse/bjab050 Published: 08 December 2021 Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments, such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, and generally lacked quantitative measurements. Here, we report the development, implementation, and initial results of a multilingual, international questionnaire to assess self-reported quantity and quality of perception in 3 distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, and 8 others, aged 19-79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste, and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change +/- 100) revealed a mean reduction of smell (-79.7 +/- 28.7, mean +/- standard deviation), taste (-69.0 +/- 32.6), and chemesthetic (-37.3 +/- 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell but also affects taste and chemesthesis.The multimodal impact of COVID-19 and the lack of perceived nasal obstruction suggest that severe acute respiratory syndrome coronavirus strain 2 (SARS-CoV-2) infection may disrupt sensory-neural mechanisms.

Published
2020

13. Increasing incidence of parosmia and phantosmia in patients recovering from COVID-19 smell loss

Author

Ohla, Kathrin, primary, Veldhuizen, Maria Geraldine, additional, Green, Tomer, additional, Hannum, Mackenzie E., additional, Bakke, Alyssa J., additional, Moein, Shima T., additional, Tognetti, Arnaud, additional, Postma, Elbrich M., additional, Pellegrino, Robert, additional, Hwang, Liang-Dar, additional, Albayay, Javier, additional, Koyama, Sachiko, additional, Nolden, Alissa, additional, Thomas-Danguin, Thierry, additional, Mucignat-Caretta, Carla, additional, Menger, Nick S., additional, Croijmans, Ilja, additional, Öztürk, Lina, additional, Yanık, Hüseyin, additional, Pierron, Denis, additional, Pereda-Loth, Veronica, additional, Nunez-Parra, Alexia, additional, Pineda, Aldair M. Martinez, additional, Gillespie, David, additional, Farruggia, Michael C., additional, Cecchetto, Cinzia, additional, Fornazieri, Marco A., additional, Philpott, Carl, additional, Voznessenskaya, Vera, additional, Cooper, Keiland, additional, Dominguez, Paloma Rohlfs, additional, Calcinoni, Orietta, additional, de Groot, Jasper, additional, Boesveldt, Sanne, additional, Bhutani, Surabhi, additional, Weir, Elisabeth M., additional, Exten, Cara, additional, Joseph, Paule V., additional, Parma, Valentina, additional, Hayes, John E., additional, and Niv, Masha Y., additional

Published
2021
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14. The best COVID-19 predictor is recent smell loss: a cross-sectional study

Author

Gerkin, Richard, Ohla, Kathrin, Veldhuizen, Maria Geraldine, Joseph, Paule, Kelly, Christine, Bakke, Alyssa, Steele, Kimberley, Pellegrino, Robert, Pepino, Marta, Bouysset, Cédric, Soler, Graciela, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M. Hakan, D'Errico, Anna, Fischmeister, Florian Ph.S, Bock, María Adelaida, Domínguez, Paloma Paloma, Yanık, Hüseyin, Boesveldt, Sanne, de Groot, Jasper, Dinnella, Caterina, Freiherr, Jessica, Laktionova, Tatiana, Mariño, Sajidxa, Monteleone, Erminio, Nunez-Parra, Alexia, Abdulrahman, Olagunju, Ritchie, Marina, Thomas-Danguin, Thierry, Walsh-Messinger, Julie, Al Abri, Rashid, Alizadeh, Rafieh, Bignon, Emmanuelle, Cantone, Elena, Cecchini, Maria Paola, Chen, Jingguo, Guàrdia, Maria Dolors, Hoover, Kara, Karni, Noam, Navarro, Marta, Nolden, Alissa, Mazal, Patricia Portillo, Rowan, Nicholas, Sarabi-Jamab, Atiye, Archer, Nicholas, Chen, Ben, Di Valerio, Elizabeth, Feeney, Emma, Frasnelli, Johannes, Hannum, Mackenzie, Hopkins, Claire, Klein, Hadar, Mignot, Coralie, Mucignat, Carla, Ning, Yuping, Ozturk, Elif, Peng, Mei, Saatci, Ozlem, Sell, Elizabeth, Yan, Carol, Alfaro, Raul, Cecchetto, Cinzia, Coureaud, Gérard, Herriman, Riley, Justice, Jeb, Kaushik, Pavan Kumar, Koyama, Sachiko, Overdevest, Jonathan, Pirastu, Nicola, Ramirez, Vicente, Roberts, S. Craig, Smith, Barry, Cao, Hongyuan, Wang, Hong, Balungwe, Patrick, Baguma, Marius, Veldhuizen, Maria, Farruggia, Michael, Pizio, Antonella, Hakan Ozdener, M, Fjaeldstad, Alexander, Lin, Cailu, Sandell, Mari, Singh, Preet, Brindha, V. Evelyn, Olsson, Shannon, Saraiva, Luis, Ahuja, Gaurav, Alwashahi, Mohammed, Bhutani, Surabhi, Fornazieri, Marco, Golebiowski, Jérôme, Hwang, Liang-Dar, Öztürk, Lina, Roura, Eugeni, Spinelli, Sara, Whitcroft, Katherine, Faraji, Farhoud, Fischmeister, Florian, Heinbockel, Thomas, Hsieh, Julien, Huart, Caroline, Konstantinidis, Iordanis, Menini, Anna, Morini, Gabriella, Olofsson, Jonas, Philpott, Carl, Pierron, Denis, Shields, Vonnie, Voznessenskaya, Vera, Albayay, Javier, Altundag, Aytug, Bensafi, Moustafa, Bock, María, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundström, Johan, Macchi, Alberto, Meyer, Pablo, Moein, Shima, Santamaría, Enrique, Sengupta, Debarka, Rohlfs Dominguez, Paloma, Yanik, Hüseyin, Group, GCCR, Hummel, Thomas, Hayes, John, Reed, Danielle, Niv, Masha, Munger, Steven, Parma, Valentina, Arizona State University [Tempe] (ASU), Institute of Neuroscience and Medicine [Jülich] (INM-1), Mersin University, National Institutes of Health [Bethesda] (NIH), AbScent, Pennsylvania State University (Penn State), Penn State System, National Institute of Diabetes and Digestive and Kidney Diseases [Bethesda], Yale University [New Haven], Tennessee State University, University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Institut de Chimie de Nice (ICN), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto), Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), University of Bari Aldo Moro (UNIBA), University of California [Irvine] (UCI), University of California, Utrecht University [Utrecht], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Monell Chemical Senses Center, Regional Hospital West Jutland [Denmark], University of Helsinki, University of Oslo (UiO), Karunya University, Tata Institute for Fundamental Research (TIFR), Research at Sidra Medicine Research Branch [Doha, Qatar], Indraprastha Institute of Information Technology [New Delhi] (IIIT-Delhi), Sultan Qaboos University (SQU), San Diego State University (SDSU), Goethe-University Frankfurt am Main, State University of Londrina = Universidade Estadual de Londrina, University of Queensland [Brisbane], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), University College of London [London] (UCL), University of Graz, Howard University, Geneva University Hospital (HUG), Cliniques Universitaires Saint-Luc [Bruxelles], Aristotle University of Thessaloniki, Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), University of Gastronomic Sciences of Pollenzo (UNISG), Stockholm University, University of East Anglia [Norwich] (UEA), Towson University [Towson, MD, United States], University of Maryland System, A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Universita degli Studi di Padova, Biruni University, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospital General de Barrio Obrero [Asunción, Paraguay] (Public Hospital Barrio Obrero ), Private practice [Milan], DreamAir Llc, Oregon State University (OSU), Cancer Center Karolinska [Karolinska Institutet] (CCK), Karolinska Institutet [Stockholm], University of Insubria, Varese, Computational Biology Center (IBM T.J. Watson Research Center), IBM, Institute for Research in Fundamental Sciences [Tehran] (IPM), Instituto de Investigación Sanitaria de Navarra [Pamplona, Spain] (IdiSNA), University of Extremadura, Technische Universität Dresden = Dresden University of Technology (TU Dresden), The Hebrew University of Jerusalem (HUJ), University of Florida [Gainesville] (UF), Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE), Non-byline authors (to be listed as collaborators in PubMed under the GCCR Group Author): Sanne Boesveldt, Jasper H.B. de Groot, Caterina Dinnella, Jessica Freiherr, Tatiana Laktionova, Sajidxa Mariño, Erminio Monteleone, Alexia Nunez-Parra, Olagunju Abdulrahman, Marina Ritchie, Thierry Thomas-Danguin, Julie Walsh-Messinger, Rashid Al Abri, Rafieh Alizadeh, Emmanuelle Bignon, Elena Cantone, Maria Paola Cecchini, Jingguo Chen, Maria Dolors Guàrdia, Kara C. Hoover, Noam Karni, Marta Navarro, Alissa A. Nolden, Patricia Portillo Mazal, Nicholas R. Rowan, Atiye SarabiJamab, Nicholas S. Archer, Ben Chen, Elizabeth A. Di Valerio, Emma L. Feeney, Johannes Frasnelli, Mackenzie E. Hannum, Claire Hopkins, Hadar Klein, Coralie Mignot, Carla Mucignat, Yuping Ning, Elif E. Ozturk, Mei Peng, Ozlem Saatci, Elizabeth A. Sell, Carol H. Yan, Raul Alfaro, Cinzia Cecchetto, Gérard Coureaud, Riley D. Herriman, Jeb M. Justice, Pavan Kumar Kaushik, Sachiko Koyama, Jonathan B. Overdevest, Nicola Pirastu, Vicente A. Ramirez, S. Craig Roberts, Barry C. Smith, Hongyuan Cao, Hong Wang, Patrick Balungwe Birindwa, Marius Baguma, Karl-Franzens-Universität [Graz, Autriche], Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, The Pennsylvania State University, University of Tennessee, University of Buenos Aires [Argentina], Università degli studi di Bari Aldo Moro (UNIBA), Goethe University of Frankfurt am Main, Wageningen University and Research [Wageningen] (WUR), Radboud university [Nijmegen], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), A.N. Severtsov Institute of Ecology and Evolution RAS, 119071, Russia., RespiraLibre - Centro de Otorrinolaringología, Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Partenaires INRAE, Universidad de Chile = University of Chile [Santiago] (UCHILE), Federal University of Technology of Akure (FUTA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Dayton, Iran University of Medical Sciences, University of Naples Federico II, University of Verona (UNIVR), Head and Neck Surgery, Hospital of Xi'an Jiaotong University, Institute of Agrifood Research and Technology (IRTA), University of Alaska [Fairbanks] (UAF), Hadassah Hebrew University Medical Center [Jerusalem], University of Southern Queensland (USQ), University of Massachusetts, Instituto Universitario del Hospital Italiano [Buenos Aires, Argentina], Johns Hopkins University School of Medicine [Baltimore], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), The First Affiliated Hospital of Guangzhou Medical University (GMU), University College Dublin [Dublin] (UCD), Université du Québec à Trois-Rivières (UQTR), Guy's and St Thomas' Hospitals, University of Padova [Padova, Italy], Kilis Yedi Aralik University, University of Otago [Dunedin, Nouvelle-Zélande], Sancaktepe Education and Research Hospital, Hospital of the University of Pennsylvania (HUP), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia], UC San Diego Health, University ofFlorida, Tata Institute of Fundamental Research, Indiana University [Bloomington], Indiana University System, Columbia University Irving Medical Center (CUIMC), University of Edinburgh, University of California [Merced], University of Stirling, University of London [London], Florida State University [Panama City], Université catholique de Bukavu, Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Karunya Institute of Technology and Sciences, Sidra Medicine, School of Exercise and Nutritional Sciences, Howard University College of Medicine, Geneva University Hospitals, Geneva University , Geneva , Switzerland., CHU Genève, General Hospital Papageorgiou, University of Toulouse, University of Padova, Lyon Neuroscience Research center, IBM T.J. Watson Research Center, Navarrabiomed-IdiSNA, Temple University, Julien, Sabine, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Universitad de Buenos Aires = University of Buenos Aires [Argentina], Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), University of California [Irvine] (UC Irvine), University of California (UC), Karl-Franzens-Universität Graz, Universidad de Extremadura - University of Extremadura (UEX), Radboud University [Nijmegen], Università degli Studi di Firenze = University of Florence (UniFI), University of Naples Federico II = Università degli studi di Napoli Federico II, Università degli studi di Verona = University of Verona (UNIVR), Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), Università degli Studi di Padova = University of Padua (Unipd), University of Pennsylvania-University of Pennsylvania, School of Medicine [Univ California San Diego] (UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Tata Institute of Fundamental Research [Bangalore], University of California [Merced] (UC Merced), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Sidra Medicine [Doha, Qatar], Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), and Universitá degli Studi dell’Insubria

Subjects
Adult, Male, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Cross-sectional study, Visual analogue scale, Anosmia, Audiology, Logistic regression, AcademicSubjects/SCI01180, Article, Odds, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Hyposmia, Humans, Medicine, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, 030223 otorhinolaryngology, SARS-CoV-2, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, COVID-19, Middle Aged, Prognosis, Smell, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Cross-Sectional Studies, [SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Smell loss, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Female, Original Article, Self Report, medicine.symptom, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

BackgroundCOVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19.MethodsThis preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery.ResultsBoth C19+ and C19-groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ∼50% of participants and was best predicted by time since illness onset.ConclusionsAs smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4

Published
2020

15. Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

Author

Parma, Valentina, Overdevest, Jonathan B, Peng, Mei, Saatci, Ozlem, Sell, Elizabeth A, Yan, Carol H, Alfaro, Raul, Cecchetto, Cinzia, Coureaud, Gérard, Herriman, Riley D, Justice, Jeb M, Kaushik, Pavan Kumar, Koyama, Sachiko, Pirastu, Nicola, Ning, Yuping, Ramirez, Vicente A, Roberts, S Craig, Smith, Barry C, Cao, Hongyuan, Wang, Hong, Balungwe, Patrick, Baguma, Marius, Hummel, Thomas, Hayes, John E, Reed, Danielle R, Niv, Masha Y, Munger, Steven D, Ozturk, Elif E, Gerkin, Richard C, Ohla, Kathrin, Veldhuizen, Maria Geraldine, Joseph, Paule V, Kelly, Christine E, Bakke, Alyssa J, Steele, Kimberley E, Farruggia, Michael C, Pellegrino, Robert, Pepino, Marta Y, Bouysset, Cédric, Soler, Graciela M, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland W, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M Hakan, Fjaeldstad, Alexander W, Lin, Cailu, Sandell, Mari A, Singh, Preet B, Brindha, V Evelyn, Olsson, Shannon B, Saraiva, Luis R, Ahuja, Gaurav, Alwashahi, Mohammed K, Bhutani, Surabhi, D'Errico, Anna, Fornazieri, Marco A, Golebiowski, Jérôme, Hwang, Liang-Dar, Öztürk, Lina, Roura, Eugeni, Spinelli, Sara, Whitcroft, Katherine L, Faraji, Farhoud, Fischmeister, Florian Ph S, Heinbockel, Thomas, Hsieh, Julien W, Huart, Caroline, Konstantinidis, Iordanis, Menini, Anna, Morini, Gabriella, Olofsson, Jonas K, Philpott, Carl M, Pierron, Denis, Shields, Vonnie D C, Voznessenskaya, Vera V, Albayay, Javier, Altundag, Aytug, Bensafi, Moustafa, Bock, María Adelaida, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundström, Johan N, Macchi, Alberto, Meyer, Pablo, Moein, Shima T, Santamaría, Enrique, Sengupta, Debarka, Domínguez, Paloma Paloma, Yanık, Hüseyin, Boesveldt, Sanne, de Groot, Jasper H B, Dinnella, Caterina, Freiherr, Jessica, Laktionova, Tatiana, Mariño, Sajidxa, Monteleone, Erminio, Nunez-Parra, Alexia, Abdulrahman, Olagunju, Ritchie, Marina, Thomas-Danguin, Thierry, Walsh-Messinger, Julie, Al Abri, Rashid, Alizadeh, Rafieh, Bignon, Emmanuelle, Cantone, Elena, Cecchini, Maria Paola, Chen, Jingguo, Guàrdia, Maria Dolors, Hoover, Kara C, Karni, Noam, Navarro, Marta, Nolden, Alissa A, Mazal, Patricia Portillo, Rowan, Nicholas R, Sarabi-Jamab, Atiye, Archer, Nicholas S, Chen, Ben, Di Valerio, Elizabeth A, Feeney, Emma L, Frasnelli, Johannes, Hannum, Mackenzie, Hopkins, Claire, Klein, Hadar, Mignot, Coralie, Mucignat, Carla, UCL - (SLuc) Service d'oto-rhino-laryngologie, and UCL - SSS/IONS/NEUR - Clinical Neuroscience

Abstract

COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19. This preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing no significant model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ~50% of participants and was best predicted by time since illness onset. As smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (10

Published
2020

18. Investigation of 9th Grade Students' Development of Operational Flexibility in The Context of Equations Containing Algebraic Fractions.

Author

Taştepe, Mehtap and Yanık, Hüseyin Bahadır

Subjects
ALGEBRA, NINTH grade (Education), CONTENT analysis, DESCRIPTIVE statistics, DATA analysis
Abstract

Copyright of International Journal of Educational Studies in Mathematics (IJESIM) is the property of International Journal of Educational Studies in Mathematics (IJESIM) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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19. Detection of Escherichia Coli Bacteria in Water Using Deep Learning: A Faster R-CNN Approach.

Author

Yanık, Hüseyin, Kaloğlu, A. Hilmi, and Değirmenci, Evren

Subjects
DEEP learning, ESCHERICHIA coli, WATER use, PATHOGENIC bacteria, BACTERIA, DRINKING water
Abstract

Considering its importance for vital activities, water and particularly drinking water should be clean and should not contain disease-causing bacteria. One of the pathogenic bacteria found in water is the bacterium Escherichia coli (E. coli). In the commonly used method for the detection of E. coli bacteria, the bacteria samples distilled from the water sample are seeded in endo agar medium and the change in the color of the medium as a result of the metabolic activities of the bacteria is examined with the naked eye. This color change can be seen with the human eye in approximately 22 ± 2 hours. In this study, a new bacteria detection scheme is proposed – using deep learning to detect E. coli bacteria both in shorter time and in practical way. The proposed technique is tested with experimentally collected data. Results show that the detection of bacteria can be done automatically within 6-10 hours with the proposed method. [ABSTRACT FROM AUTHOR]

Published
2020
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21. Uyku Apnesi Hastalarında Gündüz Aşırı Uykululuk Halinin Değerlendirilmesi ve Hayat Kalitesi ile Olan İlişkisinin Saptanması.

Author

Hacı, Cemal, Açıkalın, Reşit Murat, Gezginadam, Zafer, Coşkun, Samet Çağrı, Yanık, Hüseyin Tarık, and Yaşar, Hüsamettin

Subjects
QUALITY of life, MENTAL health, DROWSINESS, HEALTH surveys, QUESTIONNAIRES, RESPIRATORY obstructions, SLEEP apnea syndromes, POLYSOMNOGRAPHY, DISEASE complications
Abstract

Copyright of Medical Bulletin of Haseki / Haseki Tip Bulteni is the property of Galenos Yayinevi Tic. LTD. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2019
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22. Neural response to flavor measured during a sip-and-swallow protocol with EEG.

Author

Albayrak, Samet, Ürgen, Burcu Ayşen, Yanık, Hüseyin, and Veldhuizen, Maria

Subjects
DEGLUTITION, CACAO beans, FUNCTIONAL magnetic resonance imaging, FLAVOR, ELECTROENCEPHALOGRAPHY, EVOKED potentials (Electrophysiology)
Abstract

Objective: Brain responses to food or flavor stimuli are usually measured with functional magnetic resonance imaging (fMRI). One advantage of using electro-encephalo gram (EEG) is reduced cost and the ability to include participants with a higher BMI (compared to fMRI). In addition, because the participant is seated, EEG allows for a more naturalistic eating context. Event-related EEG studies using sip-and-swallow protocols do not exist to our awareness, but this is a critical lack, as the swallow breath contains flavor. Methods: In each session, the participants sipped the stimulus on 50 trials upon hearing an auditory cue. A pair of EMG electrodes were connected to the submental muscles under the participants' chin and utilized for the detection of swallow moment to obtain a precise time point for the consumption event. In addition, sip size was tracked with a USB-readable scale to identify unusual or irregular sips. We have completed data collection on 15 participants (7 women, 8 men) for 4 sessions each. Ongoing data analyses are done with EEGLAB and ERPLAB on MATLAB and MNE on Python. Results: Here we present preliminary results from a sip-and-swallow protocol with EEG, done to obtain event-related potential (ERP) changes time-locked to swallowing of a food stimulus (cacao milk). Conclusion: In conclusion, we demonstrate that a sip-and-swallow EEG protocol is possible with limited loss of data due to movement and clear ERPs can be obtained through such a procedure. [ABSTRACT FROM AUTHOR]

Published
2023
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23. ANOMAT Anadolu Matematik Beceri Ölçeğinin Geliştirilmesi

Author

Erdoğan, Serap, Yanık, Hüseyin Bahadır, Kumtepe, Alper Tolga, Giren, Songül, Yıldırım Polat, Aslı, Yağan Güder, Sevcan, Alan, Ümran, Karademir, Abdulhamit, Parpucu, Nurbanu, Yalçın, Vakkas, and Eğitim Fakültesi / Faculty of Education Temel Eğitim Bölümü Okul Öncesi Eğitimi Anabilim Dalı / Elementary Education

Published
2014

24. Öteleme Dönüşümünün Dinamik Geometri Ortamında Öğrenimi

Author

Yanık, Hüseyin Bahadır

Subjects
Geometric translations, technology, GeoGebra, prospective teachers, teacher education, ComputingMilieux_COMPUTERSANDEDUCATION, Öteleme Dönüşümü, Teknoloji, GeoGebra, Öğretmen Adayları, Öğretmen Eğitimi
Abstract

Dynamic learning environments provide a variety of opportunities for learners to explore mathematical concepts. The purpose of this study was to explore the nature of the growth of 4 prospective middle school mathematics teachers’ understanding of geometric translations in a technology mediated environment using GeoGebra as a pedagogical medium. Individual teaching experiment methods were used to examine the progress of prospective teachers’ understanding of geometric translations. The study design included three phases: (1) semistructured clinical interviews; (2) teaching episodes; and (3) a retrospective analysis of the semistructured clinical interviews and teaching episodes. The findings of the study indicated that the availability of the dynamic geometry software supported the teacher candidates’ understanding of geometric translations. Specifically, the dragging and measurement features of the program enabled teacher candidates to explore the properties of geometric translations, make conjectures, employ various strategies, and construct new understandings., Dinamik öğrenme ortamları, matematiksel kavramların keşfedilmesi ve incelenmesi açısından öğrencilere birçok fırsatlar tanımaktadır. Bu çalışmanın amacı, GeoGebra dinamik programının eğitimsel bir araç olarak kullanıldığı bir ortamda 4 ilköğretim matematik öğretmen adayının öteleme kavramının gelişiminin incelenmesidir. Bireysel öğretim deneyi metodu kullanılarak öğretmen adaylarının öteleme dönüşümü üzerine gelişimleri incelenmiştir. Çalışma üç bölümden oluşmuştur: (1) yarı-yapılandırılmış klinik görüşmeler; (2) öğretim deneyleri ve (3) geriye dönük yarı-yapılandırılmış klinik görüşmelerin ve öğretim deneylerinin analizi. Çalışmanın bulguları, dinamik geometri programının öğretmen adaylarının öteleme kavramının gelişimini desteklediğini göstermiştir. Özellikle, programın sürükleme ve ölçme özelliklerinin öğretmen adaylarının öteleme kavramının özelliklerini keşfetmelerine, matematiksel varsayımlarda bulunmalarına, çeşitli yöntemler kullanmalarına ve yeni bilgiler oluşturmalarına yardımcı olduğu gözlemlenmiştir.

Published
2013

25. Mesleğe yeni başlayan iki ortaokul matematik öğretmeninin mesleki gelişiminin beş uygulama modeli çerçevesinde incelenmesi

Author

Bağdat, Osman, Yanık, Hüseyin Bahadır, and Matematik ve Fen Bilimleri Eğitimi Anabilim Dalı

Subjects
Eğitim ve Öğretim, Education and Training, Teachers, Secondary school teachers, Professional development, 5E Model, Mathematics, Mathematics education, Mathematics lesson
Abstract

Bu çalışmanın amacı 5 Uygulama Modeli'ne dayalı bir mesleki gelişim programının, mesleğe yeni başlayan iki ortaokul matematik öğretmeninin sınıf içi uygulamalarına ve matematiksel görevlerin bilişsel istem düzeylerine olan etkisini incelemektir. Bu amaç doğrultusunda çalışma mesleki gelişim programı öncesi ve teorik ve uygulamalı eğitim olmak üzere iki aşamada gerçekleştirilmiştir. Durum çalışması olarak desenlenen çalışmada nitel veri toplama ve analiz yöntemleri kullanılmıştır. Mesleki gelişim programı öncesinde elde edilen bulgular öğretmenlerin öğrenci düşüncesine dayalı bir planlama gerçekleştirmediklerini, ders esnasında öğrencilerin görevleri keşfetmeleri için yeterince zaman vermediklerini, ilişkilendirmeye dayalı bir tartışma ortamı oluşturmadıklarını, bilişsel istem düzeyi düşük görevleri uyguladıklarını göstermiştir. Mesleki gelişim programı ile birlikte öğretmenler planladıkları yüksek düzey görevlerin amacı üzerine derin düşünmekle birlikte ayrıntılı öngörme gerçekleştirmede istenilen düzeye ulaşamamışlardır. Öğrencilerin görevi keşfetmelerine, farklı çözüm yolu ortaya koymalarına ve sorgulamaya dayalı bir ortam oluşturmuşlardır. Amaçları doğrultusunda farklı çözümleri seçmiş ve sıralamışlardır. Özellikle çözümlerle dersin amaçları arasında ilişki kurmaya yönelik bir tartışma ortamı oluşturabilmişler ancak çözümler arasında ilişki kurma noktasında istenilen düzeye ulaşamamışlardır. Öğretmenler mesleki gelişim sürecinde uyguladıkları yüksek düzey görevlerin bilişsel istem düzeyini koruyarak çoğunlukla yüksek düzeyde uygulamışlardır. Anahtar Sözcükler: Mesleğe yeni başlayan öğretmenler, Mesleki gelişim, Matematiksel görevler, Bilişsel istem, 5 Uygulama modeli. The purpose of this study was to investigate the effect of a professional development program based on 5 Practices to the clasroom routines and cognitive demands of mathematical tasks implemented by two beginning middle school mathematics teachers. For this purpose, the study was carried out in two phases: Before the professional development program and theoretical and practical phases of professional development program. Because of the fact that this study was designed as a case study, qualitative data collection and analysis methods were utilized. The findings before the professional development program suggested that teachers did not perform a planning based on student thinking, didn't provide enough time for students to explore the tasks, didn't create an environment based on classroom discussions and they usually implemented cognitively low-demanding mathematical tasks. Along with the professional development program teachers deeply considered on the purpose of cognitively demanding tasks they planned, but did not reach the expected level on detailed anticipating. They constructed an environment based on students' exploration of tasks and consideration of different solutions. They purposefully selected and sequenced different solutions. In particular, they were able to initiate discussions to connect students' approaches and underlying concepts, but they did not reach the expected level in making connections among different solutions. Teachers mostly maintained the level of cognitively high demanding tasks in the professional development program. Keywords: Beginning teachers, Professional development, Mathematical tasks, Cognitive demand, 5 practices. 284

Published
2019

26. Ortaokul öğrencilerinin kesir şemalarının incelenmesi

Author

Ozansak Topcu, Yeşim, Yanık, Hüseyin Bahadır, and Matematik ve Fen Bilimleri Eğitimi Anabilim Dalı

Subjects
Eğitim ve Öğretim, Education and Training
Abstract

Kesir şemaları, kesir kavramı zihinde yapılandırılırken belli bir durum karşısında kesirsel faaliyetlerin deneyimlenmesinden soyutlanmasına kadar olan sürecin olası yol haritalarını temsil eden şematik modellerdir. Bu araştırma ortaokul 5. sınıftan 8. sınıf düzeyine kadar öğrencilerin ne tür kesir şemalarına sahip oldukları ve şemalar kapsamında kesirsel faaliyetleri uygulamada sınıf düzeyleri arasında nasıl bir değişim ve gelişim olduğunu incelemek amacıyla gelişimsel araştırma yöntemi ile tasarlanmıştır. Veriler, uyarlanmış bir yazılı değerlendirme aracı ve yarı yapılandırılmış klinik görüşmeler aracılığıyla 5., 6., 7. ve 8. sınıf öğrencilerinden kesitsel zamanlı olarak toplanmış ve içerik analizi yöntemi ile analiz edilmiştir. Araştırma sonuçlarına göre kesir şemalarının gelişiminde herhangi bir hiyerarşik yapı bulunmasa da en ilkel şemanın aynı anda parçalama şeması (APŞ) olduğu ve bu şemanın 5. sınıftan 8. sınıfa doğru giderek azaldığı görülmüştür. Araştırma kapsamında incelenen şemalardan ikisinin gelişim sürecinin 6. sınıftan 7. sınıfa geçerken hızlandığı, diğer beş şemanın ise gelişim sürecinin 5. sınıftan 6. sınıfa geçerken hızlı bir şeklinde arttığı sonucuna ulaşılmıştır. Kesirsel faaliyet kullanımının ise şemalara göre farklı şekilde ortaya çıktığı tespit edilmiştir. Bu bağlamda kesirsel faaliyetlerin farklı kesir modelleri üzerinde uygulanırken yaşanan güçlük betimlenmiştir. Fraction schemes are schematic models that represent possible roadmaps of process from the experiencing of the fraction operations to the interiorizing in the face of a particular situation while the concept of fraction is being structured in the mind. This study was designed with the developmental research method in order to examine what kind of fractional schemes students have in grades 5 through 8 and how there is a change and development between grade levels in the application of fraction operations within the schemes. Data were collected cross-sectionally from 5th, 6th, 7th and 8th grade students through an adapted written evaluation tool and semi-structured clinical interviews and analyzed by content analysis. The results of the study showed that although there is no hierarchical structure in the development of fractional schemes, it is seen that the most primitive scheme is the simultaneous partitioning scheme and gradually decreases from grade 5 to grade 8. While in the development process of two different schemes examined, there is a rapid increase in the transition from grade 6 to grade 7; results showed that in the development process of most of the schemes examined, a rapid increase occurred in the transition from 5th grade to 6th grade. Further, some distinctions have been identified regarding the use of fraction operations in the context of fractional schemes. Besides, it was seen that students had difficulty in applying fraction operations on diverse fraction representations. 260

Published
2019

27. İşlemsel ve kavramsal bilginin gelişiminin cebirsel kesirleri içeren denklemler bağlamında incelenmesi

Author

Taştepe, Mehtap, Yanık, Hüseyin Bahadır, Fen ve Matematik Alanlar Eğitimi Anabilim Dalı, Yanık, Bahadır, and Eğitim Bilimleri Enstitüsü

Subjects
Conceptual knowledge, Algebra, Equations, Eğitim ve Öğretim, Cebir -- Öğretim, Mathematics teaching, Procedural knowledge, Education and Training, Fractions, Mathematics education
Abstract

Tez (doktora) - Anadolu Üniversitesi, Anadolu Üniversitesi, Eğitim Bilimleri Enstitüsü, Eğitim Bilimleri Anabilim Dalı, Kayıt no: 469255, Bu araştırmanın amacı, cebirsel kesirlerde toplama ve çıkarma işlemini içeren denklemlerde işlemsel bilgi ve kavramsal bilgilerindeki gelişimi incelemektir. Araştırma 2015-2016 öğretim yılında Sinop ilinde iki farklı lisede öğrenim gören 4 dokuzuncu sınıf öğrencisi ile gerçekleştirilmiştir. Öncelikle Sinop merkezde bulunan liselerde ön uygulama soruları uygulanmış ardından 4 öğrenci belirlenmiştir. İlk klinik görüşmenin ardından haftada bir olmak üzere 7 öğretim seansı uygulanmış, son klinik görüşme ve 3 ay sonra kalıcılık klinik görüşme gerçekleştirilmiştir. Araştırmanın modelini nitel araştırma yaklaşımlarından biri olan “öğretim deneyi”, bunu desteklemek için yapılan “klinik görüşmeler” ve “doküman incelemesi” oluşturmaktadır. Elde edilen veriler işlem esnekliği boyutunda çoklu çözüm stratejisi bilgisi göstermek, bu çözüm stratejileri arasında bilinçli tercihlerde bulunmak ve tercih edilen çözümü uygulayabilmek şeklinde üç başlık altında incelenmiştir. Çoklu strateji bilgisi bölümünde veriler kodlanarak puanlanmış ve dört düzey belirlenmiştir. Bilinçli tercihlerde bulunma ve tercih ettiği çözümü uygulayabilme durumları içerik analizi yöntemi kavramsal anlama boyutu ise betimsel analiz ve içerik analizi yöntemi kullanılarak analiz edilmiştir. Araştırma sonucunda katılımcıların bu süreçte işlemsel ve kavramsal bilgileri gelişme göstermiştir. İşlemsel anlamda çoklu strateji bilgisi geliştikçe işlem esnekliğinin geliştiği, çözümlü örneklerin bunda önemli bir rol oynadığı, çoklu strateji bilgisi gelişiminin ve çözüm için etkili stratejiyi seçerek doğru stratejileri belirleme becerisinin karşılıklı olarak birbirini olumlu etkilediği görülmüştür. Çoklu strateji bilgisinin gelişimi tercih nedeninin matematiksel olmasını sağlamıştır. Verilen denklemlere yazılan sözel problemlerde kullanılan anlamların ve problem yazarken yapılan hataların kesrin türüne göre farklılaştığı belirlenmiştir. Denklemlerin çözümünde özellikle kesrin bölüm anlamının kullanılması iki bilgi türünün birbirini olumlu etkilediğini göstermiştir.

Published
2018

28. Investigating prospective middle school mathematics teachers' modeling processes and cognitive competencies for linear relationships

Author

Karabaş, Celil, Yanık, H. Bahadır, Eğitim Bilimleri Enstitüsü, Yanık, Hüseyin Bahadır, and Matematik Eğitimi Anabilim Dalı

Subjects
Linear relationships, Mathematical modelling, Cognitive abilities, Eğitim ve Öğretim, Mathematics teaching, Teacher proficiency, Education and Training, Candidate teachers, Sufficiency, Mathematics lesson, Mathematics education, Mathematics, Matematik -- Öğretim (İlk)
Abstract

Tez (doktora) - Anadolu Üniversitesi, Anadolu Üniversitesi, Eğitim Bilimleri Enstitüsü, Matematik ve Fen Bilimleri Eğitimi Anabilim Dalı, Kayıt no: 431685, Bu araştırmanın amacı ilköğretim matematik öğretmen adaylarının doğrusal ilişkileri modelleme süreçlerini ve bu süreçlerde gösterdikleri bilişsel modelleme yeterliklerini incelemektir. Bu amaç doğrultusunda araştırmada durum çalışması modeli kullanılmıştır. Araştırmanın uygulaması 2014-2015 öğretim yılı bahar döneminde bir devlet üniversitesinde eğitim gören dört öğretmen adayı ile on dört hafta süren bir ders kapsamında dokuz modelleme etkinliği çerçevesinde yürütülmüştür. Araştırmanın verileri gözlem, görüşme ve doküman incelemesi kapsamında toplanmıştır. Elde edilen veriler içerik analizi yöntemi ile analiz edilmiştir. Doğrusal ilişkiler; tam doğrusal, parçalı doğrusal ve doğrusala yakın olmak üzere üç farklı türde ele alınmıştır. Etkinlikler, belirsizlik durumları giderek artan üç farklı yapıda hazırlanmıştır. Modelleme yeterlikleri anlama, düzenleme, tahmin ve doğrulama süreç adımları çerçevesinde analiz edilmiştir. Bulgular modelleme süreçlerinde gösterilen yeterliklerin problem tür ve yapılarına göre değişebildiğini göstermiştir. Bulgular, problemdeki belirsizlik düzeyinin artması ile birlikte bireylerin problem durumundaki aranan ilişkileri kurabilmesi için daha fazla bilişsel yeterlik göstermesi gerektiğine işaret etmektedir. Ayrıca, bazı alt yeterliklerin anahtar rolü oynadığı ve bu anahtar yeterliklerin kullanılması halinde diğer bazı alt yeterliklerin kullanılmasına gerek duyulmadığı belirlenmiştir. Öte yandan, anahtar alt yeterliklerin gösteriminde yaşanan sorunların modelleme sürecinin tamamlanmasına ve model oluşturmaya önemli ölçüde engel olduğu görülmüştür. Bulgular ayrıca uygun ortam ve planlı modelleme etkinlikleri sağlandığında öğretmen adaylarının modelleme yeterliklerinin gelişebileceğini göstermiştir. Anahtar Sözcükler: Matematiksel modelleme süreci, Bilişsel yeterlikler, Matematiksel modelleme yeterlikleri, Doğrusal ilişkiler, Öğretmen adayları.

Published
2016

29. Mesleki eğitim öğrencilerinin teknoloji destekli ortamda uzamsal yeteneklerinin gelşiminin incelenmesi

Author

Parmak, Zeynep, Yanık, Hüseyin Bahadır, and Matematik Eğitimi Anabilim Dalı

Subjects
Spatial ability, Vocational education, Vocational education centers, Eğitim ve Öğretim, Technology based instruction, Mathematics teaching, Software programs, Education and Training, Geometry, Spatial visualization, Mathematics education
Abstract

Bu çalışmada bir mesleki eğitim merkezine devam eden öğrencilerin uzamsal yeteneğinin `Açınımlar, Döndürme ve Görünüşler` alt bileşenleri kapsamında gelişimleri teknoloji destekli bir öğretim ortamında incelenmiştir.Çalışma iki bölümden oluşmuştur. Birinci bölümde bir mesleki eğitim merkezine devam eden 30 öğrencinin uzamsal görselleştirme yetenekleri belirtilen bileşenler kapsamında değerlendirilmiştir. Bu değerlendirme ile öğrencilerin ne tür zorluklar yaşadıkları belirlenmeye çalışılmıştır. Bu aşamada Purdue Uzamsal Görselleştirme Testi ve yazılı değerlendirme soruları kullanılmıştır. Ardından klinik görüşmeler gerçekleştirilmiştir.İkinci bölümde ise bu 30 katılımcı arasından öğretim deneyi kapsamında oluşturulan sınıf için sekiz katılımcı belirlenmiştir. Çalışma kapsamında Cabri 3D geometri yazılımı temelli yürütülen eğitimlerde katılımcıların bireysel olarak takip edilmesinin mümkün olması açısından sekiz kişilik sınıfın dördüne odaklanılmıştır. Çalışmanın son kısmında bu sekiz öğrenciye ön değerlendirmede sorulan sorular küçük değişiklikler yapılarak tekrar sorulmuş ve kendileri ile klinik görüşmeler gerçekleştirilmiştir. Ardından bu sekiz öğrenciye Purdue Uzamsal Görselleştirme Testi son test olarak tekrar uygulanmıştır.Çalışma bulguları, katılımcıların uzamsal görselleştirmede çeşitli zorluklar yaşadıklarını göstermiştir. Özellikle, bulgular öğrencilerin verilen 3B cisimlerin 2B açınımlarını ve belirtilen bir yönden görünüşlerini çizmede çeşitli hatalar yaptıklarını göstermiştir. Ayrıca bulgular öğrencilerin verilen bir cismin belirli bir yönde ve açıda döndürülmesi sonucunda elde edilen yeni görüntüyü zihinlerinde canlandırmakta zorlandıklarını göstermiştir. Bulgular teknoloji ortamında verilen eğitimin öğrencilerin bu zorlukları büyük oranda gidermede yardımcı olduğuna işaret etmektedir. Özellikle, Cabri 3D programının dinamik özellikleri -3B cisimlerin gerek 2B açınımlarını gerekse farklı yönlerden görünümlerini almaya imkân vermesi- öğrencilerin yaptıkları hataları görmelerine ve bunları düzeltmelerine yardımcı olmuştur.Anahtar Sözcükler: uzamsal beceri, uzamsal görselleştirme becerisi, Cabri 3D geometri yazılımı, matematik eğitimi, mesleki eğitim This study investigated the growth of vocational education students' spatial ability with respect to `Developments, Rotations and Views` in a technology-mediated environment in which Cabri 3D software used.The study consisted of two phases. In the first phase, 30 vocational education students' spatial abilities with respect to components mentioned above, were investigated. The purpose of this investigation was to identify students' visualization difficulties. Purdue Spatial Visualization Test and a written instrument developed by the researcher were used for this purpose. Additionally, an individual clinical interview was conducted.In the second phase of the study, eight students among 30 participants were chosen to form a classroom for the teaching episodes. For the purpose of this study four of these students selected as a focus group for further analysis. Through the end of the study the researcher administered the slightly changed written instrument and conducted individual clinical interviews with eight students. Then Purdue Spatial Visualisation Test is administered to these eight students as a final test again.The findings of the study showed that students had variety of spatial visualization difficulties. Specifically, students had difficulties in drawing 2D nets of 3D shapes and drawing views of 3D shapes from different viewpoints. Furthermore, findings showed that students had also difficulties in rotating 3D shapes in a given direction and angle mentally. Findings also showed that technology-mediated environment support students to overcome these difficulties. Specifically, the dynamic futures of Cabri 3D program, which provide both nets of 3D shapes and their views of different directions, helped students to notice their mistakes and detect them.Key Words: spatial skill, spatial visualisation skill, Cabri 3D geometry software,mathematics education, vocational education 201

Published
2016

30. Electrocardiography (ECG) analysis and a new feature extraction method using wavelet transform with scalogram analysis.

Author

Yanık H, Değirmenci E, Büyükakıllı B, Karpuz D, Kılınç OH, and Gürgül S

Subjects
Arrhythmias, Cardiac diagnosis, Artificial Intelligence, Databases, Factual, Electrocardiography methods, Humans, Reproducibility of Results, Cardiovascular Diseases physiopathology, Wavelet Analysis
Abstract

Electrocardiography (ECG) signals and the information obtained through the analysis of these signals constitute the main source of diagnosis for many cardiovascular system diseases. Therefore, accurate analyses of ECG signals are very important for correct diagnosis. In this study, an ECG analysis toolbox together with a user-friendly graphical user interface, which contains the all ECG analysis steps between the recording unit and the statistical investigation, is developed. Furthermore, a new feature calculation methodology is proposed for ECG analysis, which carries distinct information than amplitudes and durations of ECG main waves and can be used in artificial intelligence studies. Developed toolbox is tested using both Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) Arrhythmia ECG Database and an experimentally collected dataset for performance evaluation. The results show that ECG analysis toolbox presented in this study increases the accuracy and reliability of the ECG main wave detection analysis, highly fasten the process duration compared to manual ones and the new feature set can be used as a new parameter for decision support systems about ECG based on artificial intelligence.

Published
2020
Full Text
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31. The best COVID-19 predictor is recent smell loss: a cross-sectional study.

Author

Gerkin RC, Ohla K, Veldhuizen MG, Joseph PV, Kelly CE, Bakke AJ, Steele KE, Farruggia MC, Pellegrino R, Pepino MY, Bouysset C, Soler GM, Pereda-Loth V, Dibattista M, Cooper KW, Croijmans I, Di Pizio A, Ozdener MH, Fjaeldstad AW, Lin C, Sandell MA, Singh PB, Brindha VE, Olsson SB, Saraiva LR, Ahuja G, Alwashahi MK, Bhutani S, D'Errico A, Fornazieri MA, Golebiowski J, Hwang LD, Öztürk L, Roura E, Spinelli S, Whitcroft KL, Faraji F, Fischmeister FPS, Heinbockel T, Hsieh JW, Huart C, Konstantinidis I, Menini A, Morini G, Olofsson JK, Philpott CM, Pierron D, Shields VDC, Voznessenskaya VV, Albayay J, Altundag A, Bensafi M, Bock MA, Calcinoni O, Fredborg W, Laudamiel C, Lim J, Lundström JN, Macchi A, Meyer P, Moein ST, Santamaría E, Sengupta D, Domínguez PP, Yanık H, Boesveldt S, de Groot JHB, Dinnella C, Freiherr J, Laktionova T, Mariño S, Monteleone E, Nunez-Parra A, Abdulrahman O, Ritchie M, Thomas-Danguin T, Walsh-Messinger J, Al Abri R, Alizadeh R, Bignon E, Cantone E, Cecchini MP, Chen J, Guàrdia MD, Hoover KC, Karni N, Navarro M, Nolden AA, Mazal PP, Rowan NR, Sarabi-Jamab A, Archer NS, Chen B, Di Valerio EA, Feeney EL, Frasnelli J, Hannum M, Hopkins C, Klein H, Mignot C, Mucignat C, Ning Y, Ozturk EE, Peng M, Saatci O, Sell EA, Yan CH, Alfaro R, Cecchetto C, Coureaud G, Herriman RD, Justice JM, Kaushik PK, Koyama S, Overdevest JB, Pirastu N, Ramirez VA, Roberts SC, Smith BC, Cao H, Wang H, Balungwe P, Baguma M, Hummel T, Hayes JE, Reed DR, Niv MY, Munger SD, and Parma V

Abstract

Background: COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19., Methods: This preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery., Results: Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing no significant model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ~50% of participants and was best predicted by time since illness onset., Conclusions: As smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (10

Published
2020
Full Text
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