Search

In the field of paper conservation and archival research, identifying the raw materials of paper is important to elucidate its history and culture. As the most basic element of the raw materials for paper, fibers have not been sufficiently investigated. In this study, we propose a nondestructive method for estimating paper fibers from macro photographs ( $4000\times3000$ pixels) captured using a digital camera. The proposed method consists of background patch (500 pixels per side) detection (BPD), wherein background regions with no text are identified; patch fiber classification (PFC), wherein background patches obtained after BPD are analyzed for fiber classification; and paper fiber estimation (PFE), wherein macro images obtained after PFC are analyzed for fiber estimation. BPD and PFC are employed to perform patch-based classification on segmented macro images, which are reconstructed during PFE to obtain the final fiber estimation results. We performed experiments using 1337 macro images (64176 patches) to evaluate the fiber estimation accuracy for kozo, mitsumata, and gampi via three-fold cross-validation. The average fiber classification accuracy for patch images was observed to be 79.1%; accordingly, the average fiber estimation accuracy for macro images was 85.8%. Experimental results indicated that PFE can be realized in a nondestructive manner on macro images of paper captured using a digital camera.

The aim of this paper is to examine how the image of Josef Stalin is presented on the Russian internet. The main focus of our study will be the macro images and memes published on social media. This article examines how memes were used to articulate an attitude towards Stalin and his time in modern day Russia. The article touches upon three groups of memes: the comparison of Stalin and Putin, Stalin as a victor in the Great Patriotic war and Stalin as a dictator. It is stated that memes are closely connected with the tradition of soviet anecdotes in form and in themes. It is concluded that three groups of memes analyzed are the new ways to express the political satire. The most direct is the first one, yet the last one is the most striking. [ABSTRACT FROM AUTHOR]

The purpose of this study first is to develop a model to measure Iran’s Image from the perspective of those who have not visited Iran and then to investigate the effects of some factors such as Macro image of the destination, tourists’ motivation for travelling to Iran and marketing communication activities of the destination on the dimensions of the destination image. In the research, a mixed approach was adopted. The statistical populations of both quantitative and qualitative studies include members of Couch surfing and Linked-in social networks. For this purpose, a sample of 74 potential tourists were participated in the qualitative study and 520 ones were participated in the quantitative study. In order to identify the dimensions of the destination image, the content analysis technique was employed. The participants of the quantitative study were selected through a convenient sampling method. In order to identify the dimensions of the destination image exploratory factor analysis was applied. The research data were analyzed through confirmatory factor analysis in the AMOS software. The findings showed that Macro image of Iran, tourists’ motivation for traveling to Iran and marketing communication activities of the destination affect the dimensions and overall image of Iran. Destination image in turn affects the tourists’ intention to visit Iran.

Introduction: A whole slide image (WSI) is typically comprised of a macro image (low-power snapshot of the entire glass slide) and stacked tiles in a pyramid structure (with the lowest resolution thumbnail at the top). The macro image shows the label and all pieces of tissue on the slide. Many whole slide scanner vendors do not readily show the macro overview to pathologists. We demonstrate that failure to do so may result in a serious misdiagnosis. Materials and Methods: Various examples of errors were accumulated that occurred during the digitization of glass slides where the virtual slide differed from the macro image of the original glass slide. Such examples were retrieved from pathology laboratories using different types of scanners in the USA, Canada, Europe, and Asia. Results: The reasons for image errors were categorized into technical problems (e.g., automatic tissue finder failure, image mismatches, and poor scan coverage) and human operator mistakes (e.g., improper manual region of interest selection). These errors were all detected because they were highlighted in the macro image. Conclusion: Our experience indicates that WSI can be subject to inadvertent errors related to glitches in scanning slides, corrupt images, or mistakes made by humans when scanning slides. Displaying the macro image that accompanies WSIs is critical from a quality control perspective in digital pathology practice as this can help detect these serious image-related problems and avoid compromised diagnoses.

Introduction: A whole slide image (WSI) is typically comprised of a macro image (low-power snapshot of the entire glass slide) and stacked tiles in a pyramid structure (with the lowest resolution thumbnail at the top). The macro image shows the label and all pieces of tissue on the slide. Many whole slide scanner vendors do not readily show the macro overview to pathologists. We demonstrate that failure to do so may result in a serious misdiagnosis. Materials and Methods: Various examples of errors were accumulated that occurred during the digitization of glass slides where the virtual slide differed from the macro image of the original glass slide. Such examples were retrieved from pathology laboratories using different types of scanners in the USA, Canada, Europe, and Asia. Results: The reasons for image errors were categorized into technical problems (e.g., automatic tissue finder failure, image mismatches, and poor scan coverage) and human operator mistakes (e.g., improper manual region of interest selection). These errors were all detected because they were highlighted in the macro image. Conclusion: Our experience indicates that WSI can be subject to inadvertent errors related to glitches in scanning slides, corrupt images, or mistakes made by humans when scanning slides. Displaying the macro image that accompanies WSIs is critical from a quality control perspective in digital pathology practice as this can help detect these serious image-related problems and avoid compromised diagnoses. [ABSTRACT FROM AUTHOR]