The platform for open and practice-oriented research

Products 2.231

product

What destination marketers can learn from their visitors' blogs: an image analysis of Bethlehem, Palestine

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

product

Tourists’ destination image: an exploratory study of alternative tourism in Palestine

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

product

Past and current components-based detailing of particle image velocimetry

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

Past and current components-based detailing of particle image velocimetry

product

An IMAGE Case Compilation

Talking and discussing with many partners during the way has brought us to the most original meaning of Teaching as ‘fostering learning’. The present Teaching case is the result of all those discussions and considerations united by the convincement that doing research is an essential part of that just mentioned fostering learning. Besides a Case to work on, the current Teaching Case includes a series of guidelines plus a body of thoughts and considerations to be taken into account when conducting research on places in all their complexity. In the endwe have all agreed on the importance of becoming more knowledgeable and better informed. It all implies a commitment to do so!The MAGE Case illustrated in this Teaching Case compilation has been mainly the product of an already existing interest in learning more about specific areas in our cities, often the areas in which new venues of our universities have been built. Working with partners in real life cases we experienced an increasingly sense of being part of the whole. We stopped calling the companies and institutions we were working with as potential ‘clients’ and started to build on a partnership’s cooperation narrative. Next steps in this trajectory have been to take the time to better establish the implications of seriously adopting this partnership narrative as a way of working together in research and education. In this sense, it has been indispensable to review terms such as co-creation, design thinking or teaching case and to come to grips by incorporating them as concepts in a case glossary.In terms of context, it is relevant to know that the current IMAGE Case as described in these pages has been elaborated in three different editions during the academic years 2020-2021 and 2021-2022. In each edition, we have been working with an international intercity cooperation from and within the cities of (in alphabetical order) Amsterdam, Barcelona, Lisbon, Paris and Vienna. The different schools and faculties are all part of higher education institutions in the cooperating cities and have a location in the focus areas of the case. Our districts and neighborhoods in the partner cities: Amsterdam -Zuidoost-; Barcelona -El Raval-; Lisbon -Carnide-; Paris -La Defènse-; Vienna -St. Marx-. During these two years we have been working together with students coursing different subjects and mostly in the bachelor courses. Lecturers and all kind of local partners have been closely involved in the process of making the case happen. The case description in this compilation shows intentionally the dates of the 3rd edition that took place in the second semester 2021-2022. This last edition helped to improve and re-see the Case after a period of lockdowns because of covid-19 pandemic regulations. Operating between the specific years of 2020-2022 has been an extraordinary experience in the literal sense of the word. The Covid-19 pandemic became an exceptional situation even for online intercity cooperation at a distance. Despite the longer experience built on online working together at a distance with international partners, the truly limitation of offline face-to face meetings at all levels, together with the experiences of being ill and even losing loved ones, has obviously had an impact. In terms of conducting research and collecting first-handdata, the restrictions have been clearly visible as well. Looking at the footage elaborated by the different students’ teams during the first and second edition one sees at once the emptiness of the streets, to name an example. The trigger for the current Case IMAGE Researching the City Mapping Imaginaries was mainly born from the increasing awareness that our look at cities' reputations (and at the reputations of areas within cities) could use a more diverse lens. Without denying the relevance of by now referential iconic places, there is a need to go beyond the already established and towards a new positioning for cities to capture a broader and more substantiated city map-- a map which contributes to seeing beyond the obvious towards the less generally known.This need is urgent. Even before Covid-19 pandemic and the cost of living crisis, many European cities were facing various challenges from mass tourism, to gentrification and decreasing livability in some urban areas. Despite city campaigns, which insist on spreading residents and visitors through all over our cities, cities tend themselves to concentrate attention, and investments, in areas that are already considered referential. But the crux is then, why not extend our view on how reputations and attention is built and really contribute to a more informed city mapping including a larger diversity of areas and centres of interest? Or as some creative entrepreneurs have put it: Instead of everybody aiming to be in a place that is already successful, wouldn't it be better to find new ways of making more places successful? (Bures, 2012b, 2012a)

MULTIFILE

Projects 9

project

AdaptSort: Adaptive AI for Sorting E-Waste

The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.

Ongoing

project

Analyzing yachting patterns in the Biesbosch National Park using GIS technology

National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.

Finished

project

Classification of Multiple Sclerosis (MS) and Healthy-Control blood samples using Transfer Learning

Multiple sclerosis (MS) is a severe inflammatory condition of the central nervous system (CNS) affecting about 2.5 million people globally. It is more common in females, usually diagnosed in their 30s and 40s, and can shorten life expectancy by 5 to 10 years. While MS is rarely fatal; its effects on a person's life can be profound, which signifies comprehensive management and support. Most studies regarding MS focus on how lymphocytes and other immune cells are involved in the disease. However, little attention has been given to red blood cells (erythrocytes), which might also be important in developing MS. Artificial intelligence (AI) has shown significant potential in medical imaging for analyzing blood cells, enabling accurate and efficient diagnosis of various conditions through automated image analysis. The project aims to implement an AI pipeline based on Deep Learning (DL) algorithms (e.g., Transfer Learning approach) to classify MS and Healthy Blood cells.

Ongoing

project

Employer Branding as a Powerful Tool for Employee Recruitment and Retention

In our increasingly global society, organizations face many opportunities in innovation, improved productivity and easy access to talent. At the same time, one of the greatest challenges, businesses experience nowadays, is the importance of social and/or human capital for their effectiveness and success (Backhaus and Tikoo, 2004; Mosley, 2007; Theurer et al., 2018; Tumasjan et al., 2020). High-quality employees are crucial to the competitive strength of an organization in the global economy, as these employees have a major influence on organizational reputation (Dowling at al., 2012). An important question is how, under these global circumstances, organizations and companies in the Netherlands can best be stimulated to attract and preserve social capital.Several studies have suggested the scarcity of talent and the crucial importance of gaining competitive advantage with recruitment communication to find the fit between personal and fundamental organizational characteristics and values for employees (Cable and Edwards, 2004; Bhatnagar and Srivastava, 2008; ManPower Group, 2014; European Communication Monitor (ECM), 2018). In order to become an employer of choice, organizations have to not only stand out from the crowd during the recruitment process but work on developing loyalty and a culture of trust in their relationship with employees (ECM, 2018). Employer Branding focuses on the process of promoting an organization, as the “employer of choice” to a desired target group, which an organization aims to attract and retain. This process encompasses building an identifiable and unique employer identity or, more specifically, “the promotion of a unique and attractive image” as an employer (Backhaus 2004, p. 117; Backhaus and Tikoo 2004, p. 502).One of the biggest challenges in the North of the Netherlands at the moment is the urgent need for qualified labor in the IT, energy and healthcare sectors and the excess supply of international graduates who are able to find a job in the North of the Netherlands (AWVN, 2019). Talent development, as part of the regional labor market and education policy, has been an important part of government programs and strategies in the region (VNO-NCW Noord, 2018). For instance, North Netherlands Alliance (SNN) signed a Northern Innovation Agenda for the 2014-2020 period. SNN encourages, facilitates and connects ambitions focused on the development of the Northern Netherlands. Also, the Social Economic council North Netherlands issued an advice on the labour market in the North Netherlands (SER Noord Nederland, 2017). Knowledge institutions also contribute through employability programs. Another example is the Regional Talent Agreement (Talent Akkoord) framework issued by the Groningen educational institutions, employers and employees’ organizations and regional authorities in which they jointly commit to recruiting, training, retaining and developing talent for the Northern labor market. Most of the hires with a maximum of five year of experience at companies are represented by millennials. To learn what values make an attractive brand for employees in the of the North of the Netherlands, we conducted a first study. When ranking the most important values of corporate culture which matter to young employees, they mention creative freedom, purposeful work, flexibility, work-life balance as well as personal development. Whereas attractive workplace and job security do not matter to such a degree. A positive work environment and a good relationship with colleagues are valued highly (Hein, 2019).To date, as far as we know, no other employer branding studies have been carried out for the North of the Netherlands. Further insight is needed into the role of employer branding as a powerful tool to retain talent in Northern industry in particular.The goal of this study is to provide a detailed analysis of the regional industry in the Northern Netherlands and contribute to: 1) the scientific body of knowledge about whether and how employer branding can strengthen the attractiveness of a regional industry in the labor market; 2) the application of this knowledge and insights by companies and governments in local policy development in the North of the Netherlands.

Finished

project

FORensic WAtermarking with Robust Dynamic Tracing

The project aim is to improve collusion resistance of real-world content delivery systems. The research will address the following topics: • Dynamic tracing. Improve the Laarhoven et al. dynamic tracing constructions [1,2] [A11,A19]. Modify the tally based decoder [A1,A3] to make use of dynamic side information. • Defense against multi-channel attacks. Colluders can easily spread the usage of their content access keys over multiple channels, thus making tracing more difficult. These attack scenarios have hardly been studied. Our aim is to reach the same level of understanding as in the single-channel case, i.e. to know the location of the saddlepoint and to derive good accusation scores. Preferably we want to tackle multi-channel dynamic tracing. • Watermarking layer. The watermarking layer (how to embed secret information into content) and the coding layer (what symbols to embed) are mostly treated independently. By using soft decoding techniques and exploiting the “nuts and bolts” of the embedding technique as an extra engineering degree of freedom, one should be able to improve collusion resistance. • Machine Learning. Finding a score function against unknown attacks is difficult. For non-binary decisions there exists no optimal procedure like Neyman-Pearson scoring. We want to investigate if machine learning can yield a reliable way to classify users as attacker or innocent. • Attacker cost/benefit analysis. For the various use cases (static versus dynamic, single-channel versus multi-channel) we will devise economic models and use these to determine the range of operational parameters where the attackers have a financial benefit. For the first three topics we have a fairly accurate idea how they can be achieved, based on work done in the CREST project, which was headed by the main applicant. Neural Networks (NNs) have enjoyed great success in recognizing patterns, particularly Convolutional NNs in image recognition. Recurrent NNs ("LSTM networks") are successfully applied in translation tasks. We plan to combine these two approaches, inspired by traditional score functions, to study whether they can lead to improved tracing. An often-overlooked reality is that large-scale piracy runs as a for-profit business. Thus countermeasures need not be perfect, as long as they increase the attack cost enough to make piracy unattractive. In the field of collusion resistance, this cost analysis has never been performed yet; even a simple model will be valuable to understand which countermeasures are effective.

Ongoing

project

Markiezenhof Qualitative (in part also funded by Digireal).

We had been involved in the redesign of the 4 Period Rooms of the Marquise Palace, also called the Palace of Secrets, in Bergen op Zoom. This design was based on the biography of a historical figure: Marie Anne van Arenberg, whose dramatic life was marked by secrets. Each of the 4 rooms represents a turning moment in Marie Anne’s story: the official marriage, the secret marriage and the betrayal, the dilemma and choice, with, in a final room, the epilogue. These different episodes are reflected in the way the rooms are furnished: the ballroom, the bedroom, the dining room. The Secret Marquise as design and exhibition has brought more visitors to the museum. As designers and researchers, however, we were interested in understanding more about this success, and, in particular, in understanding the visitors experience, both emotionally and sensorially at different moments/situations during the story-driven experience.In the fall of 2021, the visitors’ lived experience was evaluated using different approaches: a quantitative approach using biometric measurements to register people’s emotions during their visit, and a qualitative one consisting of a combination of observations, visual imagery, and interpretative phenomenological analysis (IPA).Qualitatively, our aim was to understand how respondents made sense of Marie Anne’s story in the way in which this was presented throughout the exhibition. We specifically looked at the personal context and frame of reference (e.g., previous experiences, connection to the visitor’s own life story, associations with other stories from other sources). In the design of the rooms, we used a combination of digital/interactive elements (such as a talking portrait, an interactive dinner table, an interactive family painting), and traditional physical objects (some 17th century original objects, some reproductions from that time). The second focal point of the study is to understand how these different elements lead the visitors experience.

Finished

project

Tread towards thin ice

Structural Biology plays a crucial role in understanding the Chemistry of Life by providing detailed information about the three-dimensional structures of biological macromolecules such as proteins, DNA, RNA and complexes thereof. This knowledge allows researchers to understand how these molecules function and interact with each other, which forms the basis for a molecular understanding of disease and the development of targeted therapies. For decades, X-ray crystallography has been the dominant technique to determine these 3D structures. Only a decade ago, advances in technology and data processing resulted in a dramatic improvement of the resolution at which structures of biomolecular assemblies can be determined using another technique: cryo-electron microscopy (cryo-EM). This has been referred to as “the resolution revolution”. Since then, an ever increasing group of structural biologists are using cryo-EM. They employ a technique named Single Particle Analysis (SPA), in which thousands of individual macromolecules are imaged. These images are then computationally iteratively aligned and averaged to generate a three-dimensional reconstruction of the macromolecule. SPA works best if a very pure and concentrated macromolecule of interest can be captured in random orientations within a thin layer (10-50nm) of vitreous ice. Maastricht University has been the inventor of the machine that is found in most labs worldwide used for this: the VitroBot. We have been the inventor of succeeding technologies that allow for much better control of this process: the VitroJet. In here, we will develop a novel chemical way to expand our arsenal for preparing SPA samples of defined thickness. We will design, produce and test chemical spacers to allow for a controlled sample thickness. If successful, this will provide an easy, affordable solution for the ~1000 laboratories worldwide using SPA, and help them with their in vitro studies necessary for an improved molecular understanding of the Chemistry of Life.

Finished

project

Vitrifying Cells: it takes Two to Tango

Structural and functional knowledge of proteins, which are essential in biological processes, is fundamental for our understanding of the Chemistry of Life. Structural biology - the field that studies the structure and function of proteins – has seen several revolutions over the last few years. Single particle analysis (SPA), where individual macromolecular assemblies are imaged under cryogenic conditions within highly automated electron microscopes, has been used to elucidate the structures of many novel and important proteins and complexes. Deep-learning–based computational techniques provided systematic predictions of an million three-dimensional protein structures. Cryo-electron tomography (ET) combined with sub-tomogram averaging (STA) enabled the investigation of conformational states of large macromolecular complexes. We expect in situ structural biology, where macromolecular assemblies are studied within the interior of focused-ion-beam milled frozen cells, to become the next revolution in our field. Such revolution would require well prepared vitreous samples (cells, tissue slices, organoids): the sample should be cooled fast enough to prevent the formation of crystalline ice. Previously, we developed the technology to prepare SPA samples using jets of cryogenic fluid directed onto the sample. This device, the VitroJet, has been further developed into a commercial product by CryoSol-World and has been sold worldwide. Here, we wish to advance the jetting technology such that it can vitrify cells. Crucial aspects are the speed of the jets and the timing and reproducibility of the fronts of the cryogens arriving onto the sample. We will design, build, characterise and refine a next generation of the ethane cup, a core component within the VitroJet. If successful, we should be able to increase its vitrification potential as well as its reproducibility by more than one order of magnitude. This technology will enable in situ structural biology studies necessary to understand the Chemistry of Life.

Finished

Products 2.231

product

What destination marketers can learn from their visitors' blogs: an image analysis of Bethlehem, Palestine

LINK

product

Tourists’ destination image: an exploratory study of alternative tourism in Palestine

LINK

product