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This paper analyzes image macros via the theoretical framework of conceptual blending on the example of online responses to 2011 and 2012 doomsday predictions. To date, conceptual blending has shown promise in the analysis of a variety of internet memes; however, most studies have been limited to one type of meme or one blending model. This project adds to the discussion in two ways. First, it presents a thematic analysis – image macros responding to end of the world predictions – thereby covering a broader variety of image macro genres. Second, it modifies blending models according to the needs of the different genres. The discussion explores the extent to which the three different image macro genres require different blending models and the implication for future study.

Purpose Previous research has posited country image to operate at two levels: the country’s macro image, based on general politico-economic descriptors of the country, and the country’s micro image, based on perceptions of products from the country. The purpose of this paper is to further explore this premise in a practical study, using a psychometric assessment of macro and micro country images by ascertaining the nature of differences in macro and micro images of leading exporters, the USA and China, for consumers in Malaysia, a top import destination of US and Chinese goods; the images of Malaysian goods were similarly assessed. Design/methodology/approach The study used a systematic sample, with questionnaires distributed to adult respondents using a street intercept. Interviewers asked every other passer-by to fill out a questionnaire, and stood in close proximity to address any questions from respondents. The study hypothesized that there is a significant difference between country macro and micro image, respectively for the USA, China and Malaysia, and that there is significant relationship between country macro image and country micro image in each country, respectively, USA, China and Malaysia. Findings The study found support for the reliability of existing country micro and macro image measures, and further refined them for increased validity. The study compared between the countries and found significant differences on both macro and micro dimensions of country image. The US scored highest on technological research, high quality products, standards of living, labor costs, welfare system, industrialization, civilian government, development, literacy, free-market system and democracy, followed by China on technological research, industrialization, development and free-market system, with Malaysia scoring higher on product quality, labor costs, welfare system, civilian government is civilian/non-military, literacy, free-market system and democracy. Research limitations/implications A broader study of countries that share geopolitical and cultural similarities might offer additional insights into country macro and micro image. Practical implications The study cautions marketers to assess the acceptance of their products in the context of their country’s macro and micro image perceptions in target markets, and steer those perceptions in a manner that would be beneficial to their marketing efforts. Originality/value The conceptualization of the macro and micro aspects of country image has been one of the less studied dimensions of country image. This study is the first to address these dimensions from an emerging-market perspective, suggesting that, at the macro level, country perceptions regarding technology, economy, and politics contribute to an overall impression of the country, which would then influence the desirability of its products originating there. For the micro country image, products from countries perceived as innovative, excelling in product design, and producing prestigious products, are likely to be perceived as desirable.

In recent years, online radicalization has received increasing attention from researchers and policymakers, for instance, by analyzing online communication of radical groups and linking it to individual and collective pathways of radicalization into violent extremism. But these efforts often focus on radical individuals or groups as senders of radicalizing messages, while empirical research on the recipient is scarce. To study the impact of radicalized online content on vulnerable individuals, this study compared cognitive and affective appraisal and visual processing (via eye tracking) of three political Internet memes (empowering a right-wing group, inciting violence against out-groups, and emphasizing unity among human beings) between a right-wing group and a control group. We examined associations between socio-political attitudes, appraisal ratings, and visual attention metrics (total dwell time, number of fixations). The results show that right-wing participants perceived in-group memes (empowerment, violence) more positively and messages of overarching similarities much more negatively than controls. In addition, right-wing participants and participants in the control group with a high support for violence directed their attention towards graphical cues of violence (e.g., weapons), differentness, and right-wing groups (e.g., runes), regardless of the overall message of the meme. These findings point to selective exposure effects and have implications for the design and distribution of de-radicalizing messages and counter narratives to optimize the efficacy of prevention of online radicalization.

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.

Light Field (LF) cameras can capture angular and spatial information simultaneously, making them suitable for a wide range of applications such as refocusing, disparity estimation, and virtual reality. However, the limited spatial resolution of the LF images hinders their applicability. In order to address this issue, we propose an end-to-end learning-based light field super-resolution (LFSR) model called MFSR, which integrates multiple features, including spatial, angular, epipolar plane images (EPI), and global features. These features are extracted separately from the LF image and then fused together to obtain a comprehensive feature using the Feature Extract Block (FE Block) iteratively. Gradient loss is added into the loss function to ensure that the MFSR has good performance for LF images with rich texture. Experimental results on synthetic and real-world datasets demonstrate that the proposed method outperforms other state-of-the-art methods, with a peak signal-to-noise ratio (PSNR) improvement of 0.208 dB and 0.274 dB on average for the 2× and 4× super-resolution tasks, and structural similarity (SSIM) of both improvements of 0.01 on average.

Post-processing ‘macroscopically’ output-segmented images obtained from conventional image segmentation (IS) techniques, leads into the concept of micro–macro IS (MMIS). MMIS pays extra attention to information extracted from relatively large image regions and as a result, overall system segmentation performance improves both subjectively and objectively. The proposed post-processing scheme is generic, in the sense that can be used together with any other existing segmentation approach. Thus given an input-segmented image, MMIS has the ability to automatically select an appropriate number of regions and classes in a way that helps object-oriented visual information to become more apparent in the final segmented output image. Computer simulation results clearly indicate that significant IS performance benefits can be obtained by augmenting conventional IS schemes within an MMIS framework, with or without input images being corrupted by additive Gaussian noise

In the contemporary society worldwide, with a dramatic change of mentality among the young generations, particularly starting from the so-called Millennials, amendments to the traditional approaches and new innovative forms of education to be designed and implemented stand as the real challenge for the teachers of any discipline, in order to provide solid support to the learners, thus contributing to their courses efficiency and to the trainees' learning success. At the trainer's disposal there is today a plethora of e-learning means, with proven impact in augmenting effectiveness of the instructional process at all levels. Therefore, in the educational setting presented here, viz. engineering students reading Computer Science at bachelor level, with English as the medium of tuition, within the English for Science and Technology - EST course, the foreign language teacher, in search for variety, novelty and successful exploitation of humor and creativity in the language class, on the basis of some new and quite popular IT 'tools', has designed and taught a cycle of activities focusing on image macros, more generically labelled as memes. Thus, the paper is meant as a strong plea for encouraging learning by setting creativity, fun and avoidance of monotony elements in the lesson. Moreover, the linguistic aspects, as well as those culture-related, are also of significance, since, in order to create memes, besides the technical skills which are compulsory, one really needs a substantial array of softer skills, such as good command of the target language, sensitivity regarding cultural differences and, last but certainly not least, a great sense of humor. Hence, the approach proposed here hypothesizes that, by embedding a cycle of tasks focused on designing and discussing about such a new and popular form of social media, having multiple functions and often becoming a viral vehicle for communication, of the marketing type for instance, or for spreading opinions among the masses, the repertory of (transferable) hard and soft skills alike of the students/would-be engineers will develop, together with their chances of employability on an ever more demanding job market (inter)nationally. Consequently, the aim of the paper is a multiple one, i.e. to: (i) encourage the students to make use of their technical skills in IT, but in an original manner - by creating memes, necessarily combining them with the linguistic and even creative writing skills, which could turn into a real asset for them as future specialists, required to advertise for the products they manufacture or to socialize in professional environments, and (ii) design authentic tasks that are different from the usual, sometimes repetitive, ones the learners are used to, as such activities are based, apart from the learners' technical knowledge, on the intelligent thought-provoking and laughter-generating use of the foreign language. The eclectic, communicative core approach task package is described, and the pedagogic rationale is given for the manner of sequencing them.

Single-particle electron cryo-microscopy (cryo-EM) is a powerful method for solving the three-dimensional structures of biological macromolecules. The technological development of transmission electron microscopes, detectors and automated procedures in combination with user-friendly image processing software and ever-increasing computational power have made cryo-EM a successful and expanding technology over the past decade 1 . At resolutions better than 4 Å, atomic model building starts to become possible, but the direct visualization of true atomic positions in protein structure determination requires much higher (better than 1.5 Å) resolution, which so far has not been attained by cryo-EM. The direct visualization of atom positions is essential for understanding the mechanisms of protein-catalysed chemical reactions, and for studying how drugs bind to and interfere with the function of proteins 2 . Here we report a 1.25 Å-resolution structure of apoferritin obtained by cryo-EM with a newly developed electron microscope that provides, to our knowledge, unprecedented structural detail. Our apoferritin structure has almost twice the 3D information content of the current world record reconstruction (at 1.54 Å resolution 3 ). We can visualize individual atoms in a protein, see density for hydrogen atoms and image single-atom chemical modifications. Beyond the nominal improvement in resolution, we also achieve a substantial improvement in the quality of the cryo-EM density map, which is highly relevant for using cryo-EM in structure-based drug design. Advances in electron cryo-microscopy allow the structure of apoferritin to be determined at a resolution that enables the visualization of individual atoms.

Counting cells and colonies is an integral part of high-throughput screens and quantitative cellular assays. Due to its subjective and time-intensive nature, manual counting has hindered the adoption of cellular assays such as tumor spheroid formation in high-throughput screens. The objective of this study was to develop an automated method for quick and reliable counting of cells and colonies from digital images. For this purpose, I developed an ImageJ macro Cell Colony Edge and a CellProfiler Pipeline Cell Colony Counting, and compared them to other open-source digital methods and manual counts. The ImageJ macro Cell Colony Edge is valuable in counting cells and colonies, and measuring their area, volume, morphology, and intensity. In this study, I demonstrate that Cell Colony Edge is superior to other open-source methods, in speed, accuracy and applicability to diverse cellular assays. It can fulfill the need to automate colony/cell counting in high-throughput screens, colony forming assays, and cellular assays.