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Intestinal obstruction caused by disseminated mycobacterium avium complex disease following solid organ transplantation: a case report.
BMC Infect Dis
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Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan.
Background: Mycobacterium avium complex (MAC) is a common pathogen causing non-tuberculous mycobacterial infections, primarily affecting the lungs. Disseminated MAC disease occurs mainly in immunocompromised individuals, such as those with acquired immunodeficiency syndrome, hematological malignancies, or those positive for anti-interferon-γ antibodies. However, its occurrence in solid organ transplant recipients is uncommon.
View Article and Find Full Text PDFDissociating social reward learning and behavior in alcohol use disorder.
Transl Psychiatry
January 2025
Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Background: Alcohol use disorder (AUD) is associated with deficits in social cognition and behavior, but why these deficits are acquired is unknown. We hypothesized that a reduced association between actions and outcomes for others, i.e.
View Article and Find Full Text PDFPrototype of AI-powered assistance system for digitalisation of manual waste sorting.
Waste Manag
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Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Leoben, Austria. Electronic address:
Global waste generation is projected to reach 3.40 billion tons by 2050, necessitating improved waste sorting for effective recycling and progress toward a circular economy. Achieving this transformation requires higher sorting intensity through intensified processes, increased efficiency, and enhanced yield.
View Article and Find Full Text PDFResearch on the Classification of Traditional Building Materials in Southern Fujian Using the Reflection Intensity Values of Ground-Based LiDAR.
Sensors (Basel)
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Department of Civil Engineering and Engineering Management, National Quemoy University, Kinmen 89250, Taiwan.
Ground-based LiDAR technology has been widely applied in various fields for acquiring 3D point cloud data, including spatial coordinates, digital color information, and laser reflectance intensities (I-values). These datasets preserve the digital information of scanned objects, supporting value-added applications. However, raw point cloud data visually represent spatial features but lack attribute information, posing challenges for automated object classification and effective management.
View Article and Find Full Text PDFExploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS.
Sensors (Basel)
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Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Accurately identifying and discriminating between different brain states is a major emphasis of functional brain imaging research. Various machine learning techniques play an important role in this regard. However, when working with a small number of study participants, the lack of sufficient data and achieving meaningful classification results remain a challenge.
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