The understanding of visitor images is an important subject for tourism destination marketers. Although an increasing number of empirical studies explore images of several tourism destinations worldwide, limited research has been focussed on the tourism destination image of conflict areas. This study examines the image of Bethlehem by analysing Bethlehem's visitors' online publishing. Data was collected from popular travel blog sites, which include online posts about Bethlehem and its visitors' beliefs and evaluations. The results revealed that destination specific attributes in addition to primary image attributes are essential to understand the visitors' image of a conflict area. This study suggests that destination marketers of conflict areas should first accept their unique destination attributes, which do not change rapidly. The visitors' perceptions of Bethlehem and its people are based on more functional and psychological attributes than on holistic impressions. Destination marketers of conflict areas should craft a unique branding strategy that fits their destination best.
LINK
This study aims to understand how alternative tourism can contribute to the destination image of Palestine, given its negative image in the media. It proposes a framework for various destination image aspects and applies this framework in the context of alternative tourism in Palestine. It seeks to explore the key image formation factors, the perceived images of Palestine, and the post-visit behaviours of tourists who had engaged in alternative tourism in Palestine. This research contributes in fulfilling intriguing gaps in the Palestinian destination’s image literature, as well as the alternative tourism field that has emerged manifestly in Palestine. This study is exploratory in nature applying qualitative methodology by using open-ended questions in email interviews, and the interviews were analysed using thematic analysis. The empirical results proved that tourists who had visited Palestine and engaged in alternative tourism, had positive destination images, opposite to the ones portrayed in the media that show Palestine as a dangerous place to visit. Finally, this research provides academic and managerial implications.
LINK
Particle image velocimetry has been widely used in various sectors from the automotive to aviation, research, and development, energy, medical, turbines, reactors, electronics, education, refrigeration for flow characterization and investigation. In this study, articles examined in open literature containing the particle image velocimetry techniques are reviewed in terms of components, lasers, cameras, lenses, tracers, computers, synchronizers, and seeders. The results of the evaluation are categorized and explained within the tables and figures. It is anticipated that this paper will be a starting point for researchers willing to study in this area and industrial companies willing to include PIV experimenting in their portfolios. In addition, the study shows in detail the advantages and disadvantages of past and current technologies, which technologies in existing PIV laboratories can be renewed, and which components are used in the PIV laboratories to be installed.
DOCUMENT
Background: To assess the prevalence of chronic lymphedema and trismus in patients > 6 months after head and neck cancer (HNC) treatment, and to explore how the severity of these conditions correlates with body image and quality of life. Methods: The cross-sectional sample included 59 patients, treated for HNC between six months to three years ago. Physical measurements were performed to assess the presence of external lymphedema and trismus (<36 mm). Furthermore, participants completed two questionnaires regarding body image (BIS) and quality of life (UW-QoL V4). Results: Lymphedema prevalence was 94.1% (95% CI 0.86–0.98), with a median severity score of 9 (range 0–24). Trismus prevalence in this sample was 1.2%. The median BIS score was 2, indicating a positive body image. The UW-QoL score showed a good QOL with a median of 100. Only the domain of saliva and overall related health had a lower median of 70 and 60, respectively. There was no correlation between lymphedema and body image (r = 0.08, p = 0.544). Patients with higher lymphedema scores reported poorer speech with a moderate correlation (r = −0.39, p = 0.003). Conclusion: Lymphedema is a highly prevalent, but moderately severe late side-effect of HNC with a limited impact on quality of life domains except for speech, in our cohort.
DOCUMENT
Neighborhood image processing operations on Field Programmable Gate Array (FPGA) are considered as memory intensive operations. A large memory bandwidth is required to transfer the required pixel data from external memory to the processing unit. On-chip image buffers are employed to reduce this data transfer rate. Conventional image buffers, implemented either by using FPGA logic resources or embedded memories are resource inefficient. They exhaust the limited FPGA resources quickly. Consequently, hardware implementation of neighborhood operations becomes expensive, and integrating them in resource constrained devices becomes unfeasible. This paper presents a resource efficient FPGA based on-chip buffer architecture. The proposed architecture utilizes full capacity of a single Xilinx BlockRAM (BRAM36 primitive) for storing multiple rows of input image. To get multiple pixels/clock in a user defined scan order, an efficient duty-cycle based memory accessing technique is coupled with a customized addressing circuitry. This accessing technique exploits switching capabilities of BRAM to read 4 pixels in a single clock cycle without degrading system frequency. The addressing circuitry provides multiple pixels/clock in any user defined scan order to implement a wide range of neighborhood operations. With the saving of 83% BRAM resources, the buffer architecture operates at 278 MHz on Xilinx Artix-7 FPGA with an efficiency of 1.3 clock/pixel. It is thus capable to fulfill real time image processing requirements for HD image resolution (1080 × 1920) @103 fcps.
DOCUMENT
The huge number of images shared on the Web makes effective cataloguing methods for efficient storage and retrieval procedures specifically tailored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for image tagging with a focus on the needs of database expansion for a news broadcasting company. First, we determine the feasibility of using AIA in such a context with the aim of minimizing an extensive retraining whenever a new tag needs to be incorporated in the tag set population. Then, an image annotation tool integrating a Convolutional Neural Network model (AlexNet) for feature extraction and a K-Nearest-Neighbours classifier for tag assignment to images is introduced and tested. The obtained performances are very promising addressing the proposed approach as valuable to tackle the problem of image tagging in the framework of a broadcasting company, whilst not yet optimal for integration in the business process.
DOCUMENT
If the ratio m/p tends to zero, where m is the number of factors m and p the number of observable variables, then the inverse diagonal element of the inverted observable covariance matrix (σ pjj) -1 tends to the corresponding unique variance ψ jj for almost all of these (Guttman, 1956). If the smallest singular value of the loadings matrix from Common Factor Analysis tends to infinity as p increases, then m/p tends to zero. The same condition is necessary and sufficient for (σ pjj) -1 to tend to ψ jj for all of these. Several related conditions are discussed. © 2006 The Psychometric Society.
LINK
This paper reports on an experiment comparing students’ results on image-rich numeracy problems and on equivalent word problems. Given the well reported problematic nature of word problems, the hypothesis is that students score better on image-rich numeracy problems than on comparable word problems. To test the hypothesis a randomized controlled trial was conducted with 31,842 students from primary, secondary, and vocational education. The trial consisted of 21 numeracy problems in two versions: word problems and image-rich problems. The hypothesis was confirmed for the problems used in this experiment. With the insights gained we intend to improve the assessment of students’ abilities in solving quantitative problems from daily life. Numeracy, word problem, image-rich problem, randomized controlled trial, assessment
DOCUMENT
This paper presents a method for generating player-driven narratives from visual inputs by exploring the visual analysis capabilities of multimodal large language models. By employing Bartle’s taxonomy of player types—Achievers, Explorers, Socializers, and Killers—our method creates stories that are tailored to different player characteristics. We conducted a fourfold experiment using a set of images extracted from a well-known game, generating distinct narratives for each player type that are aligned with the visual elements of the input images and specific player motivations. By adjusting narrative elements to emphasize achievement for Achievers, exploration for Explorers, social connections for Socializers, and competition for Killers, our system produced stories that adhere to established narratology principles while resonating with the characteristics of each player type. This approach can serve as a helping tool for game designers, offering new insights into how players might engage with game worlds through personalized image-driven narratives.
LINK
European civic integration programmes claim to provide newcomers with necessary tools for successful participation. Simultaneously, these programmes have been criticised for being restrictive, market-driven and for working towards an implicit goal of limiting migration. Authors have questioned how these programmes discursively construct an offensive image of the Other and how colonial histories are reproduced in the constructions seen today. The Dutch civic integration programme is considered a leading example of a restrictive programme within Europe. Research has critically questioned the discourses within its policies, yet limited research has moved beyond policy to focus on discourse in texts in practice. This study presents a critical discourse analysis of texts used in the civic integration programme and demonstrates that they participate in multiple discursive constructions: the construction of the Dutch nation-state and its citizens as inherently modern, the construction of the Other as Unmodern and thus a threat, and the construction of the hierarchical relationship between the two. The civic integration programme has been left out of discussions on decolonisation to date, contributing to it remaining a core practice of othering. This study applies post-colonial theories to understand the impacts of current discourse, and forwards possibilities for consideration of decolonised alternatives.
DOCUMENT
