MA Part Research Articles

Mapping the Palette: A Bibliometric Journey into Art in Health Research

Arts in healthcare is a broad worldwide movement that includes how the arts influence patient care, hospital surrounds. Art in health research is crucial to prove its effectiveness and guide its practical application in healthcare, addressing current gaps in knowledge and ensuring optimal integration into patient care. The objective of this article is to present a literature review and bibliometric analysis of the mapping art in health research from 2018 to 2023. Text queries on Scopus (1, 670 documents) and PubMed (550 documents) using the term (“art therapy” OR “art in medicine” OR “arts-based interventions” OR “creative arts therapies” OR “Art in Health”) have done on 15 October 2023 obtaining 2220 documents for in-depth analysis. Rstudio 4.2.1 and biblioshiny for bibliometrix were used to analyze research trends. The most popular journal in Scopus is the journal Arts in Psychotherapy while the journal Frontiers in Psychology in PubMed. In Scopus, the most frequently used author keywords and add keywords are “art therapy” while in PubMed it shows “humans” REGEV D., (Scopus) and TESTONI I., (PubMed) are the most popular authors. The United States of America produces the most scientific articles in Scopus and PubMed. The most notable affiliations from Scopus and PubMed is University of Haifa. In conclusion, PubMed and Scopus databases, it can be observed that a significant proportion of European researchers exhibit a broader range of research interests in the field of art in health.

Modernizing the photogrammetry curriculum by integrating the entrepreneurial mindset, bio-inspired design and STEAM approach

PurposePhotogrammetry enables scientists and engineers to make accurate and precise measurements from optical images and other patterns of reflected electromagnetic energy. Photogrammetry is taught in surveying, geomatics and similar academic programs. For a long time, it has been observed that there is a lack of diversity and underrepresentation of different groups in the surveying and geomatics workforces for various reasons. Diversity fosters more innovative environments, helps employees be more engaged and boosts productivity rates. Although efforts are being made to solve this problem, most attempts did not significantly improve the diversity issues in this field. To address this problem, we designed a new curriculum for a photogrammetry course, which integrates entrepreneurial mindset (EM), bio-inspired design and Science, Technology, Engineering, Arts and Mathematics (STEAM) into the photogrammetry course for this study.Design/methodology/approachIn this study, the participatory action research method, Photovoice, was used to gather data. Students were asked to respond to photovoice and metacognitive reflection prompts to understand student perceptions about the importance of Unmanned Aerial Vehicles (UAVs) in photogrammetric mapping. Students were required to respond to each prompt with three pictures and a narrative. These reflections were analyzed using thematic analysis.FindingsThe analysis of the photovoice and metacognitive reflections resulted in six themes: promoting digital literacy, promoting job readiness and awareness, improving perceived learning outcomes, increasing interest in pursuing careers in surveying/geomatics, encouraging learner engagement and increasing awareness of the role of art in map making.Originality/valueThis is the first study conducted at our Hispanic Serving Institution, which specifically designed a curriculum integrating EM, bio-inspired design and STEAM concepts to address diversity issues in surveying and geomatics engineering disciplines.

Empowering Public Engagement in Spatial Planning: A Collaborative Mapping Approach

This paper explores collaborative mapping as an approach to enhance public engagement in spatial planning. It provides insights into the current state of the art in collaborative mapping for practitioners and policymakers aiming to utilize its potential for better spatial planning. Through a systematic analysis of relevant literature, it investigates the evolution, application, and challenges of collaborative mapping. A comprehensive search of relevant sources on Google Scholar reveals the growing interest in collaborative mapping, particularly since 2018, with a focus on topics like land use and accessibility. The review underscores the importance of democratizing spatial data collection and highlights the role of user-generated content in participatory approaches. Public participation in collaborative mapping is examined, emphasizing the inclusion of diverse stakeholders and the need for tailored approaches to accommodate varied motivations for engagement. Advantages such as cost reduction and data provision are balanced against challenges like data quality, semantic issues and accessibility barriers. Key dimensions of collaborative mapping, including cost reduction, data accuracy, semantic issues and stakeholder importance, are addressed in more detail.

New data and systematic considerations on the Blattogryllopterida (Insecta: Grylloblattida) from the Jurassic Daohugou locality in China

The systematics of the Blattogryllopterida (Grylloblattida) from the Jurassic Daohugou locality (China) is reconsidered. The holotypes of Plesioblattogryllus magnificus and Duoduo qianae are examined and new synonymies are proposed: Plesioblattogryllus Huang, Nel & Petrulevičius, 2008 = Duoduo Cui, 2012, syn. nov.; Plesioblattogryllus magnificus Huang, Nel & Petrulevičius, 2008 = Duoduo qianae Cui, 2012, syn. nov. The holotype of Plesioblattogryllus minor Ren & Aristov, 2011 is reinvestigated and re-documented, and a new well-preserved single wing of this rare species, also uncovered from the Jurassic Daohugou locality, is described. Besides the holotype, it is the first specimen exhibiting well-exposed wing venation characters for the species. Particular characters, such as the desclerotised MP, are better observed and complemented by Reflectance Transforming Imaging documentation. The new specimen might be a hind wing with a reduced plicatum, a trait yet unknown in grylloblattids. Based on these new data it occurs that, in contrast to P. magnificus and most Blattogryllopterida, the species possesses a long RP+MA fusion, with a long basal free part of MA and a very short basal free section of RP. Together with other characters, it justifies the erection of new genus, Aristoviblattogryllus gen. nov., to accommodate the species Aristoviblattogryllus minor (Ren & Aristov, 2011), comb. nov.

Structure-aware Video Style Transfer with Map Art

Changing the style of an image/video while preserving its content is a crucial criterion to access a new neural style transfer algorithm. However, it is very challenging to transfer a new map art style to a certain video in which “content” comprises a map background and animation objects. In this article, we present a novel comprehensive system that solves the problems in transferring map art style in such video. Our system takes as input an arbitrary video, a map image, and an off-the-shelf map art image. It then generates an artistic video without damaging the functionality of the map and the consistency in details. To solve this challenge, we propose a novel network, Map Art Video Network (MAViNet), the tailored objective functions, and a rich training set with rich animation contents and different map structures. We have evaluated our method on various challenging cases and many comparisons with those of the related works. Our method substantially outperforms state-of-the-art methods in terms of visual quality and meets the mentioned criteria in this research domain.

Portrait Map Art Generation By Asymmetric Image-to-Image Translation

AbstractThe authors propose a deep neural network–based algorithm to automatically generate portrait map art (PMA), a modern art form created by British portrait artist Ed Fairburn. The authors formulate the generation of PMA as an adaptive dual-to-single image translation problem. The authors’ proposed model analyzes the appearance of one portrait and one map image using two encoder networks and utilizes their hidden encodings as representations of the portrait and map image to generate new PMA using a decoder network. An adaptive style harmonization module is proposed to fuse the two hidden encodings. Optimized by cycle-consistency constraint, the model can produce new PMA images without baselines.

State of the art in epitope mapping and opportunities in COVID-19.

The understanding of any disease calls for studying specific biological structures called epitopes. One important tool recently drawing attention and proving efficiency in both diagnosis and vaccine development is epitope mapping. Several techniques have been developed with the urge to provide precise epitope mapping for use in designing sensitive diagnostic tools and developing rpitope-based vaccines (EBVs) as well as therapeutics. In this review, we will discuss the state of the art in epitope mapping with a special emphasis on accomplishments and opportunities in combating COVID-19. These comprise SARS-CoV-2 variant analysis versus the currently available immune-based diagnostic tools and vaccines, immunological profile-based patient stratification, and finally, exploring novel epitope targets for potential prophylactic, therapeutic or diagnostic agents for COVID-19.

Religiosity and External Whistleblowing Intention

Manuscript type: Research paper Research aims: This study explores the role of religiosity in external whistleblowing intention by extending the attitude-behavioural-context (ABC) theory to the whistleblowing context in Malaysia. A Muslim has the responsibility to report any wrongdoing in their organisation to protect public interest, as part of amr bil ma‘ruf wa nahy ‘anil munkar, or enjoining good and forbidding evil. Design/Methodology/Approach: This study utilises a structured questionnaire involving 185 Muslim auditors in Malaysia. A purposive non-probability sampling technique was used, and the data was analysed using SmartPLS 3.3.3. Research findings: The results reveal that religiosity positively influences the perceived control, self-efficacy, and external whistleblowing intention of Muslim auditors, but found no evidence to support the hypotheses related to their attitudes. Further, perceived control and self-efficacy are shown to positively influence attitude.Theoretical contribution/Originality: From the perspective of the ABC theory, the findings suggest that self-efficacy and perceived control are the contextual factors that strongly influence external whistleblowing, and that religiosity can be added to extend the ABC theory in the whistleblowing context. Practitioner/Policy implications: The findings are valuable to audit firms in understanding the effect of religiosity to Muslim auditors to reveal wrongdoings in their firms. Research limitation/Implications: This study is among the first to use ABC theory to examine religiosity in the context of whistleblowing. Hence, it fills the gap in the existing literature by illustrating how ABC theory can be applied in the study relating to the ethical behaviour of accounting professionals.

Mapping Art in the Industrial North Periphery of Beirut

Since 2005, the areas surrounding Nahr Beirut—the river that cuts through the northeastern border of Lebanon’s capital city—became subject to the development of “art worlds” (Becker). Specifically, the neighborhood of Corniche el-Nahr became host to art-related activities in museums, galleries, studios, artist residencies, and interdisciplinary spaces. At the same time, real estate developments began to transform the urban landscapes of the areas surrounding Nahr Beirut, especially in terms of housing and architecture. In this article, I aim to untangle the interconnections between artistic activities and real estate development around Nahr Beirut in the northeastern periphery of Lebanon’s capital. First, I examine the underlying conditions that led to the establishment of art institutions in the periphery. Second, by focusing on the rebranding campaign of Corniche el-Nahr, on the construction of mixed-use buildings and on the impact of these projects on local economies, I analyze the way arts worlds are embedded in the material and non-material transformation processes in these peripheral areas. Finally, I study the connections between art worlds and urban transformation, which led art professionals to question their practices within this urban context.

Mapping Art to a Knowledge Graph: Using Data for Exploring the Relations among Visual Objects in Renaissance Art

Graph-like structures, which are increasingly popular in data representation, stand out since they enable the integration of information from multiple sources. At the same time, clustering algorithms applied on graphs allow for group entities based on similar characteristics, and discover statistically important information. This paper aims to explore the associations between the visual objects of the Renaissance in the Europeana database, based on the results of topic modeling and analysis. For this purpose, we employ Europeana’s Search and Report API to investigate the relations between the visual objects from this era, spanning from the 14th to the 17th century, and to create clusters of similar art objects. This approach will lead in transforming a cultural heritage database with semantic technologies into a dynamic digital knowledge representation graph that will relate art objects and their attributes. Based on associations between metadata, we will conduct a statistic analysis utilizing the knowledge graph of Europeana and topic modeling analysis.

A State of the Art in Simultaneous Localization and Mapping (SLAM) for Unmanned Ariel Vehicle (UAV): A Review

Abstract For the past decade, the main problem that has attracted researchers’ attention in aerial robotics is the position estimation or Simultaneous Localization and Mapping (SLAM) of Unmanned Aerial Vehicles (UAVs) where the GPS signal is poor or denied. This article reviews the strengths and weaknesses of existing methods in the field of aerial robotics. There are many different techniques and algorithms that are used to overcome the localization and mapping problem of these UAVs. These techniques and algorithms use different sensors, such as Red Green Blue-Depth (RGB_D), Light Detecting and Ranging (LIDAR), and Ultra-wideband (UWB). The most common technique is used, i.e., probability-based SLAM, which uses two algorithms: Linear Kalman Filter (LKF) and Extended Kalman Filter (EKF). LKF consists of five phases and this algorithm is just used for linear system problems. However, the EKF algorithm is used for non-linear systems. Aerial robots are used to perform many tasks, such as rescue, transportation, search, control, monitoring, and different military operations because of their vast top view. These properties are increasing their demand as compared to human service. In this paper, different techniques for the localization of aerial vehicles are discussed in terms of advantages and disadvantages, practicality and efficiency. This paper enables future researchers to find the suitable SLAM solution based on their problems; either the researcher is dealing with a linear problem or a non-linear problem.

Generalized maximum entropy based identification of graphical ARMA models

This paper focuses on the joint estimation of parameters and topologies of multivariate graphical autoregressive moving-average (ARMA) processes. Since the graphical structure of a model can be characterized by the sparsity pattern of its inverse spectral density matrix, a generalized maximum entropy optimization model is derived by imposing a sparse regularization on the inverse spectrum from which the parameters of the AR part and the graph topology can be simultaneously estimated. Then, the whole graphical ARMA model is identified by alternatingly estimating the graphical AR part by solving the regularized maximum entropy problem and the MA part by applying the moment estimation method. The weight to the sparsity regularization term is chosen according to the information theoretic model selection criterion, and simulation examples are provided to illustrate the effectiveness of the proposed identification approach.

Faces places: Countermapping art, subalternities and counterpublics

This article is a critical reflection on our forays in the curatorial practice and exposition in March 2018 for a map art exhibit called Faces Places: Mapping Embodiments held at the University of the Philippines campus in Diliman. The exhibit was an exposition of different and alternative forms of mapping through the works of three Filipino artists: Mideo Cruz, Cian Dayrit and Mark Salvatus. We analysed their interventions in making visible the progressive geographies inherent in the everyday lifeworlds of Filipinos. Drawing from Nancy Fraser’s subaltern counterpublics, we argue that their artistic outputs are forms of counter-mapping vignettes that allow the possibility to illuminate the voices and habitus of the sifted and the excluded as new cartographical interventions intended for critical reflection and pedagogy. The art maps and countermaps of the artists evoked different responses that broadened and expanded understanding beyond what maps are, which allowed us to further interrogate the power structures that define world order through time. The production of new knowledges was derived not only from analysing the textual and symbolic aspects of the artistic countermaps but also with the processual aspect of art-making as emancipatory politics.

Explicit Artin maps into [formula omitted

Let G⊂PGL2(Fq) where q is any prime power, and let Q∈Fq(x) such that Fq(x)/Fq(Q) is a Galois extension with group G. By explicitly computing the Artin map on unramified degree-1 primes in Fq(Q) for various groups G, interesting new results emerge about finite fields, additive polynomials, and conjugacy classes of PGL2(Fq). For example, by taking G to be a unipotent group, one obtains a new characterization for when an additive polynomial splits completely over Fq. When G=PGL2(Fq), one obtains information about conjugacy classes of PGL2(Fq). When G is the group of order 3 generated by 11−10, one obtains a natural tripartite symbol on Fq with values in Z/3Z. Some of these results generalize to PGL2(K) for arbitrary fields K.

The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo

Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially in the geospatial domain, such datasets are quite scarce. Within this paper, we aim to alleviate this issue by introducing a new annotated 3D dataset that is unique in three ways: i) The dataset consists of both an Unmanned Aerial Vehicle (UAV) laser scanning point cloud and a 3D textured mesh. ii) The point cloud features a mean point density of about 800 ​pts/m2 and the oblique imagery used for 3D mesh texturing realizes a ground sampling distance of about 2–3 ​cm. This enables the identification of fine-grained structures and represents the state of the art in UAV-based mapping. iii) Both data modalities will be published for a total of three epochs allowing applications such as change detection. The dataset depicts the village of Hessigheim (Germany), henceforth referred to as H3D - either represented as 3D point cloud H3D(PC) or 3D mesh H3D(Mesh). It is designed to promote research in the field of 3D data analysis on one hand and to evaluate and rank existing and emerging approaches for semantic segmentation of both data modalities on the other hand. Ultimately, we hope that H3D will become a widely used benchmark dataset in company with the well-established ISPRS Vaihingen 3D Semantic Labeling Challenge benchmark (V3D). The dataset can be downloaded from https://ifpwww.ifp.uni-stuttgart.de/benchmark/hessigheim/default.aspx.

The ambivalence of borders: Map art through the lens of North-East Indian artists

The ambivalence of borders: Map art through the lens of North-East Indian artists

Video Mapping for Sea Turtle Preservation Education Campaign

This study aims to produce video mapping design concept to educate the topic on sea turtle conservation for all levels of Indonesian societies, especially in the Jakarta Aquarium recreation facilities. Indonesia, a tropical country with variety of natural resources and habitat of the endangered sea turtles required a protection on their habitat by the government. There are 6 types of sea turtles spread across the vast 138 different waters in Indonesia. Efforts of preservation as part of the world's ecosystem need to be done by various parties. The Visual Communication Design, as a major whom proficient in the perceptive communication language has a big role in delivering the message and exploring media for public education about the importance of maintaining the balance of the turtle ecosystem. Video mapping or projection art, is a contemporary technique of delivering information through visual images using lighting and projection so as to produce optical illusions on the object being directed. Through visual communication design method, the result is a video mapping design concept to display a provoking animation meant to visualize the grueling condition and survivability of sea turtles in recent years and to gain awareness for preserving and protecting the natural environment. The video mapping design concept can be used for environmental issues learning materials for youth.

Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation

AbstractMapping vegetation as hard classes based on remote sensing data is a frequently applied approach, even though this crisp, categorical representation is not in line with nature's fuzziness. Gradual transitions in plant species composition in ecotones and faint compositional differences across different patches are thus poorly described in the resulting maps. Several concepts promise to provide better vegetation maps. These include (1) fuzzy classification (a.k.a. soft classification) that takes the probability of an image pixel's class membership into account and (2) gradient mapping based on ordination, which describes plant species composition as a floristic continuum and avoids a categorical description of vegetation patterns. A systematic and comprehensive comparison of these approaches is missing to date. This paper hence gives an overview of the state of the art in fuzzy classification and gradient mapping and compares the approaches in a case study. The advantages and disadvantages of the approaches are discussed and their performance is compared to hard classification (a.k.a. crisp or boolean classification). Gradient mapping best conserves the information in the original data and does not require an a priori categorization. Fuzzy classification comes close in terms of information loss and likewise preserves the continuous nature of vegetation, however, still relying on a priori classification. The need for a priori classification may be a disadvantage or, in other cases, an advantage because it allows using categorical input data instead of the detailed vegetation records required for ordination. Both approaches support spatially explicit accuracy analyses, which further improves the usefulness of the output maps. Gradient mapping and fuzzy classification offer various advantages over hard classification, can always be transformed into a crisp map and are generally applicable to various data structures. We thus recommend the use of these approaches over hard classification for applications in ecological research.

Map art style transfer with multi-stage framework

We propose a multi-stage framework to create the stylized map art images. Existing techniques are successful in transferring style in photos. Yet, the noise in results and the harmonization in the generated art images still need to be investigated. We address these issues with a proposed algorithm that defines a good portrait for map art application in the initial round. A refinement strategy is then applied to produce the final map arts that meet the aforementioned expectations. Beside our plausible results, the objective evaluation presented in this paper shows that our proposed method can interactively achieve better and appealing map art results in the comparison with those of other works. In addition, our method can also create ocean or landscape stylized paintings using our map art collage.

The Early Preventive Effort of Narcotic Abuse at Senior High School (SMA) In Aceh Besar And Sabang (A study according to Islamic law)

Efforts to prevent narcotics abuse, especially for teenagers, are very necessary. bearing in mind the conditions in Indonesian society, the use of narcotics is not only committed by adults, but it’s also practiced by teenagers who are schooling. Thus, protecting young people who are still in school-age becomes an obligation that cannot be abandoned, both individuals and society. On the one hand, a lot of thoughts and efforts have been made related to the prevention of narcotics, starting from the national program that forms a special agency to deal with narcotics (National Narcotics Agency) to non-governmental organizations. However, narcotics abuse still occurs in the community, including among students. Therefore, preventive action is needed to break narcotics abuse, especially in the school environment. The High Schools in Aceh, especially Aceh Besar and Sabang, have made some efforts, such as a. urine test; b. counseling/guidance and c. school rules and regulations. These efforts have had a positive impact on students. However, environmental conditions may influence them to trap in narcotics abuse, in case if the control from the various community is not done. These prevention efforts, according to Islamic law are part of amar ma'ruf nahi mungkar.