Cigarette Consumption and Related Factors in Schizophrenia, Schizoaffective Disorder and Delusional Disorder

Boşgelmez, Şükriye; Yıldız, Mustafa

doi:10.5350/dajpn2017300307

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…In multiple regression, the objective is to build a model that relates a dependent variable to more than one independent variable. Regression analysis is used in different research areas such as economy (Angleche, Manole, and Anghel 2015;Duran and Lopes 2015;Duran 2017;Uysal, and Aydemir 2016) medicine (Pervaiz, et al 2017;Önder, and Batıgün 2016;Başgelmez, and Yıldız 2017), educational sciences (Ünal, Tarhan, and Köksal 2017;Yavuz et al 2017), agriculture (Kelechi 2012) and engineering (Kanıt, and Baykan 2004).…”

Section: Studies On Statistical Evaluationmentioning

confidence: 99%

Structural vulnerability of ancient dry masonry towers under lateral loading

Gençer

Hamamcıoğlu-Turan

Aktaş

2020

Journal of Archaeological Science: Reports

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First, I would like to express my special gratitude to my supervisor, Assoc. Prof.Dr. Mine Hamamcıoğlu Turan for her scientific support, guidance and incredible patience throughout my thesis. Special thanks go to Assoc. Prof. Dr. Engin Aktaş for his scientific support and guidance during my thesis. He supported the thesis like a supervisor. This thesis could not be completed without moral and technical support of my supervisor;

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Section: Studies On Statistical Evaluationmentioning

confidence: 99%

Structural vulnerability of ancient dry masonry towers under lateral loading

Gençer

Hamamcıoğlu-Turan

Aktaş

2020

Journal of Archaeological Science: Reports

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“…It has been adapted to different disciplines. Regression analysis is used in different research areas such as the economy (Anghelache and Anghel, 2014;Busu, 2019;Dimian, 2014;Duran and Ferreira-Lopes, 2016;Duran, 2017;Uysal and Aydemir, 2016), medicine (Başgelmez and Yıldız, 2017;Conrad et al, 2010;Kaier et al, 2010;Onder and Batigun, 2016;Pervaiz et al, 2017), educational sciences (Pedhazur, 1997;Radhy, 2019;Ünal et al, 2017;Wang et al, 2011;Yavuz et al, 2017), agriculture (Kelechi, 2012;Kuethe and Borchers, 2012) and engineering (Carpino et al, 2017;Chen et al, 2011;Kanıt and Baykan, 2020).…”

Section: Introductionmentioning

confidence: 99%

Vulnerability of Ancient Dry-joint Masonry Towers

Gençer

Hamamcıoğlu-Turan

Duran

et al. 2020

Period. Polytech. Arch.

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Since ancient times, different techniques have been favoured to provide the integrity of masonry buildings at risk from earthquakes. Earthquake consciousness and determination of related effective techniques have always been a challenging subject. In this study, morphologic characteristics affecting structural resistance of dry-joint masonry towers, and their impact on each other are examined with the help of the statistical analysis. The effectiveness of each characteristic is discussed in relation to the earthquake risk level of the regions to decipher awareness of precautions necessary for structural resistance of dry-joint masonry under earthquake risk in ancient periods.The methodology includes gathering morphologic data with the conventional site survey techniques of architectural restoration; visual analysis of the dataset; design of hypothetical towers by combining possible characteristics of real towers; quasi-static tilt analysis of hypothetical towers with MsPhysics 1.0.3 software; regression analysis of the collapse limits for different morphologic configurations with EViews 4 software, and the proposition of a vulnerability framework and application of the framework to case studies.The parameters affecting structural resistance are listed in the order of high to low impact as a staggering ratio, stone depth, ratio between block length and height, proportional relationship between height and length, opening area, number and position and the distribution of header stones. The application of the framework to case studies indicated consciousness awareness of the risk and the taking of precautions against lateral loading of dry-joint masonry in ancient periods.

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Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging

Qiu,

Liang,

Kochunov

et al. 2024

Transl Psychiatry

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People affected by psychotic, depressive and developmental disorders are at a higher risk for alcohol and tobacco use. However, the further associations between alcohol/tobacco use and symptoms/cognition in these disorders remain unexplored. We identified multimodal brain networks involving alcohol use ( n = 707) and tobacco use ( n = 281) via supervised multimodal fusion and evaluated if these networks affected symptoms and cognition in people with psychotic (schizophrenia/schizoaffective disorder/bipolar, n = 178/134/143), depressive (major depressive disorder, n = 260) and developmental (autism spectrum disorder/attention deficit hyperactivity disorder, n = 421/346) disorders. Alcohol and tobacco use scores were used as references to guide functional and structural imaging fusion to identify alcohol/tobacco use associated multimodal patterns. Correlation analyses between the extracted brain features and symptoms or cognition were performed to evaluate the relationships between alcohol/tobacco use with symptoms/cognition in 6 psychiatric disorders. Results showed that (1) the default mode network (DMN) and salience network (SN) were associated with alcohol use, whereas the DMN and fronto-limbic network (FLN) were associated with tobacco use; (2) the DMN and fronto-basal ganglia (FBG) related to alcohol/tobacco use were correlated with symptom and cognition in psychosis; (3) the middle temporal cortex related to alcohol/tobacco use was associated with cognition in depression; (4) the DMN related to alcohol/tobacco use was related to symptom, whereas the SN and limbic system (LB) were related to cognition in developmental disorders. In summary, alcohol and tobacco use were associated with structural and functional abnormalities in DMN, SN and FLN and had significant associations with cognition and symptoms in psychotic, depressive and developmental disorders likely via different brain networks. Further understanding of these relationships may assist clinicians in the development of future approaches to improve symptoms and cognition among psychotic, depressive and developmental disorders.

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Cigarette Consumption and Related Factors in Schizophrenia, Schizoaffective Disorder and Delusional Disorder

Cited by 4 publications

References 49 publications

Structural vulnerability of ancient dry masonry towers under lateral loading

Structural vulnerability of ancient dry masonry towers under lateral loading

Vulnerability of Ancient Dry-joint Masonry Towers

Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging

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