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Wyniki wyszukiwania dla: IgD
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Psychometric assessment of the Internet Gaming Disorder diagnostic criteria: An Item Response Theory study
PublikacjaInternet Gaming Disorder (IGD) has been recognized by the American Psychiatric Association (APA) as a tentative disorder in the latest fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). In order to advance research on IGD, the APA has suggested that further research on the nine IGD criteria to investigate its clinical and empirical feasibility is necessary. The aim of the present study was to...
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Psychometric assessment of the Internet Gaming Disorder diagnostic criteria: An Item Response Theory study
PublikacjaInternet Gaming Disorder (IGD) has been recognized by the American Psychiatric Association (APA) as a tentative disorder in the latest fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). In order to advance research on IGD, the APA has suggested that further research on the nine IGD criteria to investigate its clinical and empirical feasibility is necessary. The aim of the present study was to develop...
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Laxer Clinical Criteria for Gaming Disorder May Hinder Future Efforts to Devise an Efficient Diagnostic Approach: A Tree-Based Model Study
PublikacjaInternet Gaming Disorder (IGD) has been recognized in May 2013 and can be evaluated using the criteria developed by American Psychiatric Association (APA). The present study investigated the role each IGD criteria plays in diagnosing disordered gaming. A total of 3,377 participants (mean age 20 years, SD = 4.3 years) participated in the study. The data collected was scrutinized to detect patterns...
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Memetic approach for multi-objective overtime planning in software engineering projects
PublikacjaSoftware projects often suffer from unplanned overtime due to uncertainty and risk incurred due to changing requirement and attempt to meet up with time-to-market of the software product. This causes stress to developers and can result in poor quality. This paper presents a memetic algorithmic approach for solving the overtime-planning problem in software development projects. The problem is formulated as a three-objective optimization...
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Nodal marginal zone lymphoma - Female, 62 - Tissue image [9090729594401411]
Dane BadawczeThis is the histopathological image of UNKNOWN PRIMARY SITE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodal marginal zone lymphoma - Female, 62 - Tissue image [9090729594406981]
Dane BadawczeThis is the histopathological image of UNKNOWN PRIMARY SITE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodal marginal zone lymphoma - Female, 62 - Tissue image [9090729594409281]
Dane BadawczeThis is the histopathological image of UNKNOWN PRIMARY SITE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodal marginal zone lymphoma - Female, 62 - Tissue image [909072959440301]
Dane BadawczeThis is the histopathological image of UNKNOWN PRIMARY SITE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodal marginal zone lymphoma - Female, 62 - Tissue image [9090729594408631]
Dane BadawczeThis is the histopathological image of UNKNOWN PRIMARY SITE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodal marginal zone lymphoma - Female, 62 - Tissue image [9090729594408581]
Dane BadawczeThis is the histopathological image of UNKNOWN PRIMARY SITE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.