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    “Beware the young doctor and the old barber”: development and validation of a job age-type spectrum
    (Elsevier, 2021) Reeves, Michael Dennis; Fritzsche, Barbara Ann; Smith, Nicholas Anthony; Ng, Yin Lu; Department of Business Administration; Marcus, Justin; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 124653
    Taking a worker-centric approach, with evidence based on the experiences of working individuals, the current study examines the age-related stereotypes of jobs, the characteristics of age-stereotyped jobs, and the consequences of occupying them. In Study 1, we utilize samples of working adults from the US, Turkey, and Malaysia to establish validation evidence for a spectrum of 160 jobs (n = 123 raters per job). Study 1 findings indicate that entry-level jobs and jobs requiring manual labor or the use of technology are younger-typed, whereas senior level jobs and jobs requiring large investments in training or education are older-typed. The age-typing of jobs was found to be similar across countries for the vast majority of jobs. We then provide criterion validity evidence in Study 2, by testing the interactive effects of chronological age, job age-type, and sex on psychological age and perceived age and sex discrimination across samples of workers from these same three countries (n = 1469). Results upheld theoretical predictions based upon career timetables theory, prototype matching theory, and intersectional salience of ageism theory. The interactive effects of chronological age and job age-type were stronger for women than for men; the hypothesized patterns of effects were overall consistent for women but not for men.
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    PublicationOpen Access
    “Noise Factory”: a qualitative study exploring healthcare providers’ perceptions of noise in the intensive care unit
    (Elsevier, 2020) Güner, Perihan; Kebapçı, Ayda; Faculty Member; School of Nursing; 203808
    Objectives: this study aimed to explore healthcare providers’ perceptions of noise in the intensive care unit. Design: a qualitative exploratory study was conducted using group interviews. Setting: the setting comprised a total of 15 participants (five physicians and ten registered nurses) working in an 18-bed medical surgical intensive care unit at a teaching hospital in Istanbul, Turkey. Semi-structured questions were formulated and used in focus group interviews, after which the recorded interviews were transcribed by the researchers. Thematic analysis was used to identify significant statements and initial codes. Findings: four themes were identified: the meaning of noise, sources of noise, effects of noise and prevention and management of noise. It was found that noise was an inevitable feature of the intensive care unit. The most common sources of noise were human-induced. It was also determined that device-induced noise, such as alarms, did not produce a lot of noise; however, when staff were late in responding, the sound transformed into noise. Furthermore, it was observed that efforts to decrease noise levels taken by staff had only a momentary effect, changing nothing in the long term because the entire team failed to implement any initiatives consistently. The majority of nurses stated that they were now becoming insensitive to the noise due to the constant exposure to device-induced noise. Conclusion: the data obtained from this study showed that especially human-induced noise threatened healthcare providers’ cognitive task functions, concentration and job performance, impaired communication and negatively affected patient safety. In addition, it was determined that any precautions taken to reduce noise were not fully effective. A team approach should be used in managing noise in intensive care units with better awareness.
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    PublicationOpen Access
    "Whole" vs "fragmented" approach to EAACI pollen season definitions: a multicenter study in six Southern European cities
    (Wiley, 2020) Hoffmann, Tara Maria; Şahin, Aydan Acar; Aggelidis, Xenophon; Arasi, Stefania; Barbalace, Andrea; Bourgoin, Anne; Bregu, Blerina; Brighetti, Maria Antonia; Caeiro, Elsa; Sozmen, Sule Caglayan; Caminiti, Lucia; Charpin, Denis; Couto, Mariana; Delgado, Luis; Businco, Andrea Di Rienzo; Dimier, Claire; Dimou, Maria, V; Fonseca, Joao A.; Göksel, Özlem; Güvensen, Aykut; Hernandez, Dolores; Jang, Dah Tay; Kalpaklıoğlu, Füsun; Lame, Blerta; Llusar, Ruth; Makris, Michael P.; Mazon, Angel; Mesonjesi, Eris; Nieto, Antonio; Pahus, Laurie; Pajno, Giovanni Battista; Panasiti, Ilenia; Panetta, Valentina; Papadopoulos, Nikolaos G.; Pellegrini, Elisabetta; Pelosi, Simone; Pereira, Ana Margarida; Pereira, Mariana; Pinar, Munevver; Pfaar, Oliver; Potapova, Ekaterina; Priftanji, Alfred; Psarros, Fotis; Sfika, Ifigenia; Suarez, Javier; Thibaudon, Michel; Travaglini, Alessandro; Tripodi, Salvatore; Verdier, Valentine; Villella, Valeria; Xepapadaki, Paraskevi; Matricardi, Paolo M.; Dramburg, Stephanie; Öztürk, Ayşe Bilge; Saçkesen, Cansın; Yazıcı, Duygu; Faculty Member; Faculty Member; PhD Student; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); School of Medicine; Graduate School of Health Sciences; Koç University Hospital; 147629; 182537; N/A
    Background: the adequate definition of pollen seasons is essential to facilitate a correct diagnosis, treatment choice, and outcome assessment in patients with seasonal allergic rhinitis. A position paper by the European Academy of Allergy and Clinical Immunology (EAACI) proposed season definitions for Northern and Middle Europe. Objective To test the pollen season definitions proposed by EAACI in six Mediterranean cities for seven pollen taxa. Methods: as part of the @IT.2020 multi-center study, pollen counts for Poaceae, Oleaceae, Fagales, Cupressaceae, Urticaceae (Parietaria spp.), and Compositae (Ambrosia spp., Artemisia spp.) were collected from January 1 to December 31, 2018. Based on these data, pollen seasons were identified according to EAACI criteria. A unified monitoring period for patients in AIT trials was created and assessed for feasibility. Results: the analysis revealed a great heterogeneity between the different locations in terms of pattern and length of the examined pollen seasons. Further, we found a fragmentation of pollen seasons in several segments (max. 8) separated by periods of low pollen counts (intercurrent periods). Potential monitoring periods included often many recording days with low pollen exposure (max. 341 days). Conclusion: the Mediterranean climate leads to challenging pollen exposure times. Monitoring periods for AIT trials based on existing definitions may include many intermittent days with low pollen concentrations. Therefore, it is necessary to find an adapted pollen season definition as individual solution for each pollen and geographical area.
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    1,3-bis(gamma-aminopropyl)tetramethyldisiloxane modified epoxy resins: curing and characterization
    (Elsevier, 1998) Department of Chemistry; Department of Chemistry; Yılgör, Emel; Yılgör, İskender; Researcher; Faculty Member; Department of Chemistry; College of Sciences; College of Sciences; 40527; 24181
    Incorporation of siloxane oligomers with reactive organofunctional terminal groups, such as amine, epoxy and carboxy, into the structure of epoxy networks, provides improvements in the fracture toughness, water absorption and surface properties of the resultant systems. 1,3-bis(gamma-aminopropyl) tetramethyldisiloxane (DSX) was used as a model curing agent and modifier in bis(4-aminocyclohexyl)methane (PACM-20) cured diglycidyl ether of bisphenol-A (DGEBA) based epoxy resins. Curing reactions followed by differential scanning calorimetry indicated faster reaction rates between DSX and DGEBA as compared with PACM-20 and DGEBA. Mechanical characterization of the modified products showed improvements in tensile and impact strengths as expected. Glass transition temperatures of these materials showed a decrease with an increase in DSX content.
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    3D model retrieval using probability density-based shape descriptors
    (IEEE Computer Society, 2009) Akgul, Ceyhun Burak; Sankur, Buelent; Schmitt, Francis; Department of Computer Engineering; Yemez, Yücel; Faculty Member; Department of Computer Engineering; College of Engineering; 107907
    We address content-based retrieval of complete 3D object models by a probabilistic generative description of local shape properties. The proposed shape description framework characterizes a 3D object with sampled multivariate probability density functions of its local surface features. This density-based descriptor can be efficiently computed via kernel density estimation (KDE) coupled with fast Gauss transform. The nonparametric KDE technique allows reliable characterization of a diverse set of shapes and yields descriptors which remain relatively insensitive to small shape perturbations and mesh resolution. Density-based characterization also induces a permutation property which can be used to guarantee invariance at the shape matching stage. As proven by extensive retrieval experiments on several 3D databases, our framework provides state-of-the-art discrimination over a broad and heterogeneous set of shape categories.
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    PublicationOpen Access
    3D printing of elastomeric bioinspired complex adhesive microstructures
    (Wiley, 2021) Dayan, Cem Balda; Chun, Sungwoo; Krishna Subbaiah, Nagaraj; Drotlef, Dirk Michael; Akolpoğlu, Mükrime Birgül; Department of Mechanical Engineering; Sitti, Metin; Faculty Member; Department of Mechanical Engineering; College of Engineering; School of Medicine; 297104
    Bioinspired elastomeric structural adhesives can provide reversible and controllable adhesion on dry/wet and synthetic/biological surfaces for a broad range of commercial applications. Shape complexity and performance of the existing structural adhesives are limited by the used specific fabrication technique, such as molding. To overcome these limitations by proposing complex 3D microstructured adhesive designs, a 3D elastomeric microstructure fabrication approach is implemented using two-photon-polymerization-based 3D printing. A custom aliphatic urethane-acrylate-based elastomer is used as the 3D printing material. Two designs are demonstrated with two combined biological inspirations to show the advanced capabilities enabled by the proposed fabrication approach and custom elastomer. The first design focuses on springtail- and gecko-inspired hybrid microfiber adhesive, which has the multifunctionalities of side-surface liquid super-repellency, top-surface liquid super-repellency, and strong reversible adhesion features in a single fiber array. The second design primarily centers on octopus- and gecko-inspired hybrid adhesive, which exhibits the benefits of both octopus- and gecko-inspired microstructured adhesives for strong reversible adhesion on both wet and dry surfaces, such as skin. This fabrication approach could be used to produce many other 3D complex elastomeric structural adhesives for future real-world applications.
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    3D reconstruction of real objects with high resolution shape and texture
    (Elsevier, 2004) Schmitt, F; Department of Computer Engineering; Yemez, Yücel; Faculty Member; Department of Computer Engineering; College of Engineering; 107907
    We present a robust and accurate system for 3D reconstruction of real objects with high resolution shape and texture. Our reconstruction method is passive, the only information needed being 2D images obtained with a calibrated camera from different view angles as the object rotates on a turntable. The triangle surface model is obtained by a scheme combining octree construction and marching cubes algorithm, which is adapted to the shape from silhouette problem. We develop a texture mapping strategy based on surface particles to adequately address photography related problems such as inhomogeneous lighting, highlights and occlusion. Reconstruction results are included to demonstrate the attained quality.
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    [Ga-68]Ga-PSMA-11 and [F-18]FDG uptake of venous tumor thrombus in inferior vena cava and left common iliac vein from prostate cancer on positron emission tomography
    (Springer, 2023) Kabaoğlu, Zeynep Ünal; N/A; Seymen, Hülya; Esen, Barış; Kulaç, İbrahim; Aksoy, Murat; Demirkol, Mehmet Onur; Kordan, Yakup; Teaching Faculty; Teaching Faculty; Faculty Member; Other; Faculty Member; Faculty Member; School of Medicine; School of Medicine; School of Medicine; School of Medicine; School of Medicine; School of Medicine; 350778; 199167; 170305; N/A; 196946; 157552
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    PublicationOpen Access
    A 19-year-old pregnant woman with pulmonary hypertension with progressive dyspnea
    (Elsevier, 2021) Avcı, Burçak Kılıçkıran; Tok, Özge Özden; Öngen, Zeki; Bozkaya, Tijen Alkan; Kalangos, Afksendiyos; Doctor; Faculty Member; School of Medicine; Koç University Hospital; N/A; 286247
    Case presentation: a 19-year-old pregnant woman at week 32 of gestation was referred to our clinic with progressive shortness of breath for the further evaluation and treatment of high-risk pregnancy. Her complaints had been existing since her childhood. Two years prior to her admission, she had been diagnosed with heart failure with preserved ejection fraction due to cardiomyopathy and associated pulmonary hypertension. The patient had no family history of any cardiac disease. She had never smoked or drunk alcohol. Her clinical condition had deteriorated progressively with the pregnancy.
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    A 35--μm pitch IR thermo-mechanical MEMS sensor with AC-coupled optical readout
    (IEEE-Inst Electrical Electronics Engineers Inc, 2015) Ferhanoğlu, Onur; Torun, Hamdi; N/A; Department of Electrical and Electronics Engineering; Department of Electrical and Electronics Engineering; Adiyan, Ulaş; Çivitçi, Fehmi; Ürey, Hakan; PhD Student; Researcher; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Sciences; College of Engineering; N/A; 194282; 8579
    A thermo-mechanical MEMS detector with 35-mu m pixel pitch is designed, fabricated, and characterized. This fabricated design has one of the smallest pixel sizes among the IR thermo-mechanical MEMS sensors in the literature. The working principle of the MEMS detector is based on the bimaterial effect that creates a deflection when exposed to IR radiation in the 812-mu m waveband. The nanometer level out of plane mechanical motion is observed in response to IR heating of the pixel, which is detected by a diffraction grating-based optical readout. Performance of MEMS sensor arrays with optical readout have been limited by a large DC bias that accompanies a small AC signal. We developed a novel optical setup to reduce the DC term and the related noise using an AC-coupled detection scheme. Detailed noise characterization of the pixel and the readout system is reported in this paper. The noise equivalent temperature difference of our detector is measured as 216 mK using f/0.86 lens with the AC-coupled optical readout. Finally, we obtained a thermal image using a single MEMS pixel combined with a scanning configuration. Despite the reduced pixel size, the measured noise levels are comparable to the state-of-the-art thermo-mechanical IR sensors.