Interactive Map Research Articles

PERANCANGAN STRATEGI VALIDASI DATA DENGAN PEMANFAATAN APLIKASI VALIDASI BERBASIS GMAPS UNTUK PRODUK INDIHOME

Guaranteeing the accuracy and completeness of data is a critical aspect in the scope of telecommunications services. In this context, this research aims to design an effective data validation strategy through the use of a Google Maps (GMaps) based validation application in Indihome products. The design involved an approach that combined GMaps interactive map technology, the React JS framework, and the MongoDB database. Using the React JS framework, an interactive user interface has been developed to facilitate the use of validation applications. Utilization of Google Maps allows visual integration of validation data with precise geographic locations. The use of the MongoDB database supports efficient storage and management of validation data, ensuring that the data obtained meets requirements. Application testing has been carried out to ensure the effectiveness of the designed data validation strategy. The result of this research is the design of an effective data validation strategy, through the application of GMaps, React JS, and MongoDB technology. This implementation is expected to provide a more accurate, efficient and intuitive solution in ensuring data quality in Indihome services. This research can also provide benefits for technological developments in the field of data validation and the application of map concepts in user experience

Rancangan Aplikasi Presensi Karyawan CV. Pramana Mukti Jaya menggunakan Metode Extreme programming (XP) Berbasis Web dengan Integrasi Teknologi Leaflet.JS

Employee attendance management is an integral part of company operations. This study aims to develop a web-based employee attendance application at CV Pramana Mukti Jaya, integrated with Leaflet.js technology. This application enables employees to report their attendance efficiently and accurately through a responsive web interface. The development method used is Extreme Programming (XP) to ensure rapid iterations and active stakeholder participation. During the analysis phase, both functional and non-functional requirements of the application were identified. The application allows CV Pramana Mukti Jaya employees to record attendance by inputting time and location information directly through a web form. With the integration of Leaflet.js technology, the application provides an interactive map that facilitates employees in selecting accurate attendance locations. The application testing was conducted to verify the accuracy and ease of use of the Leaflet.js map interactions. The result of this research is an effective web-based employee attendance application at CV Pramana Mukti Jaya. The integration of Leaflet.js technology provides a significant visual dimension in employee attendance reporting. This application is expected to help the company manage employee attendance more efficiently and accurately while introducing the benefits of implementing Leaflet.js technology in web-based applications.

A Gamified Platform to Encourage Sustainable Behaviours

Abstract. The production, use, and disposal of goods and services require the use of natural resources, resulting in waste and environmental pollution. A growing number of people are embracing more sustainable lifestyles in alignment with the 3Rs (Reducing, Reusing, and Recycling) to counter these effects, but many remain uninformed of their options, or lack the motivation to adopt these practices. The work described in this paper addresses these issues through the development of the Sustainable App, a mobile application incorporating techniques of persuasion and gamification which offers its users eco-friendly alternatives to several types of daily activities, made available via an interactive map. The app employs diverse strategies to improve engagement, including a pet-nurturing game-like feature that responds to user actions related to sustainable transport choices, sustainable retail, and recycling. Additionally, the complete platform associated with the app also delivers Just-In-Time (JIT) messages concerning nearby sustainable choices based on location and time. Upon evaluation of the platform, positive user experience and overall good feedback were noted. Experts also weighed in on the application’s evaluation, offering valuable insights to refine future iterations.

Use of Integrated Metabolic Maps as a Framework for Teaching Biochemical Pathways in the Pre-clinical Medical Curriculum

IntroductionThe Larner College of Medicine has steadily transitioned to primarily active learning-based instruction. Although evaluations praise session formats, students often highlight difficulties in synthesizing preparatory materials to integrate biochemical pathways. A student/faculty collaboration led to the development of interactive metabolic maps that illustrate pathways and link to a broader framework of metabolism.MethodsA review of the session materials identified relevant biochemical pathways, and for each pathway, we created a fillable visual diagram to highlight the interactions between all substrates, enzymes, and cofactors. Implementation of the metabolic maps began for first-year medical students in fall 2022. Evaluation data included standard student session evaluations (Likert scale and qualitative comments) and a survey specific to the metabolic maps.ResultsAfter implementing the maps, student ratings of biochemistry/metabolism session materials significantly improved (3.2 ± 1.04 to 4.3 ± 0.87, p < 0.001), and students made positive comments about their effectiveness. Most students (77.8%) used the metabolic maps to aid in studying biochemistry content for exams and found the metabolic maps important for integrating information about metabolic pathways. The median performance on metabolism-specific questions was higher, although not statistically significant (69.23 to 77.28, ns).DiscussionThe implementation of integrated metabolic maps improved student satisfaction of biochemistry/metabolism session materials. Limitations include confounding factors related to student population differences and other simultaneous curriculum changes. Implementing interactive visual aids to integrate metabolism pathways and concepts is applicable to any medical curriculum, and other longitudinal topics may benefit from this type of curricular framework.

Bodily and Visual-Cognitive Navigation Aids to Enhance Spatial Recall in Mild Cognitive Impairment.

Individuals with mild cognitive impairment (MCI) syndrome often report navigation difficulties, accompanied by impairments in egocentric and allocentric spatial memory. However, studies have shown that both bodily (e.g., motor commands, proprioception, vestibular information) and visual-cognitive (e.g., maps, directional arrows, attentional markers) cues can support spatial memory in MCI. We aimed to assess navigation cues for innovative spatial training in aging. Fifteen MCI patients were recruited for this study. Their egocentric and allocentric memory recall performances were tested through a navigation task with five different virtual reality (VR) assistive encoding navigation procedures (bodily, vision only, interactive allocentric map, reduced executive load, free navigation without cues). Bodily condition consisted of an immersive VR setup to engage self-motion cues, vision only condition consisted of passive navigation without interaction, in the interactive allocentric map condition patients could use a bird-view map, in the reduced executive load condition directional cues and attentional markers were employed, and during free navigation no aid was implemented. Bodily condition improved spatial memory compared to vision only and free navigation without cues. In addition, the interactive allocentric map was superior to the free navigation without cues. Surprisingly, the reduced executive load was comparable to vison only condition. Moreover, a detrimental impact of free navigation was observed on allocentric memory across testing trials. These findings challenge the notion of an amodal representation of space in aging, suggesting that spatial maps can be influenced by the modality in which the environment was originally encoded.

The BC Radon Data Repository (BCRDR) and BC Radon Map: Integrating disparate data sources for improved public health communication.

The potential for exposure to indoor radon varies dramatically across British Columbia(BC) due to varied geology. Individuals may struggle to understand their exposure risk and agencies may struggle to understand the value of population-level programs and policies to mitigate risk. The BC Centre for Disease Control (BCCDC) established the BC Radon Data Repository (BCRDR) to facilitate radon research, public awareness, and action in the province. The BCRDR aggregates indoor radon measurements collected by government agencies, industry professionals and organizations, and research and advocacy groups. Participation was formalized with a data sharing agreement, which outlines how the BCCDC anonymizes and manages the shared data integrated into the BCRDR. The BCRDR currently holds 38,733 measurements from 18 data contributors. The repository continues to grow with new measurements from existing contributors and the addition of new contributors. A prominent use of the BCRDR was to create the online, interactive BC Radon Map, which includes regional concentration summaries, risk interpretation messaging, and health promotion information. Anonymized BCRDR data are also available for external release upon request. The BCCDC leverages existing radon measurement programs to create a large and integrated database with wide geographic coverage. The development and application of the BCRDR informs public health research and action beyond the BCCDC, and the repository can serve as a model for other regional or national initiatives.

THE IMPACT OF INTERACTIVE HOTEL MAPPING TECHNOLOGY ON BUSINESS PROCESSES IN THE HOSPITALITY INDUSTRY

The article explores the prospects and main directions of development of interactive hotel mapping technology. Emphasis is placed on the integral nature of the application of innovative digital technologies in the context of digital-transformation of the business environment of the tourism and hospitality industry. The aim of the article is to investigate the impact of successful practices of interactive hotel mapping on increasing efficiency, improving and modifying business processes of companies operating in the tourism and hospitality industry. The following research methods were used: observation, systematization and analysis of practical activity of the subjects of the hospitality sphere, as well as logical-analytical and system-structural methods. Interactive hotel mapping is an application of virtual reality technology. The components of this technology are indoor navigation, routing and virtual tours. The most positive effect of the technology in question has if its application is combined with other innovative digital technologies and organically fits into business processes at different stages of the production cycle. The biggest impact of interactive hotel mapping technology is on business processes related to marketing, reservations and front office service. A successful practice is the integration of the technology in question with Smart Room technology. Due to the technological peculiarities of providing indoor positioning, IT-products for interactive hotel mapping tend to specialize and demonstrate a low level of unification. For OTAs (Online Travel Agencies) and other actors providing indoor services on the booking market, the most urgent problem is the problem of unification of positioning indicators. This factor should be taken into account by firms-developers of specialized software. The scientific novelty of the study consists in the clarification and systematization of successful practices in the application of interactive mapping technology; identification of the most promising areas for improving business processes under the influence of the technology under consideration. The practical value of the obtained results lies in the possibility of their use in the practical activities of both tourism and hospitality companies and companies developing specialized IT products for the tourism and hospitality industry.

A proteomics approach to isolating neuropilin-dependent α5 integrin trafficking pathways: neuropilin 1 and 2 co-traffic α5 integrin through endosomal p120RasGAP to promote polarised fibronectin fibrillogenesis in endothelial cells

Integrin trafficking to and from membrane adhesions is a crucial mechanism that dictates many aspects of a cell’s behaviour, including motility, polarisation, and invasion. In endothelial cells (ECs), the intracellular traffic of α5 integrin is regulated by both neuropilin 1 (NRP1) and neuropilin 2 (NRP2), yet the redundancies in function between these co-receptors remain unclear. Moreover, the endocytic complexes that participate in NRP-directed traffic remain poorly annotated. Here we identify an important role for the GTPase-activating protein p120RasGAP in ECs, promoting the recycling of α5 integrin from early endosomes. Mechanistically, p120RasGAP enables transit of endocytosed α5 integrin-NRP1-NRP2 complexes to Rab11+ recycling endosomes, promoting cell polarisation and fibronectin (FN) fibrillogenesis. Silencing of both NRP receptors, or p120RasGAP, resulted in the accumulation of α5 integrin in early endosomes, a loss of α5 integrin from surface adhesions, and attenuated EC polarisation. Endothelial-specific deletion of both NRP1 and NRP2 in the postnatal retina recapitulated our in vitro findings, severely impairing FN fibrillogenesis and polarised sprouting. Our data assign an essential role for p120RasGAP during integrin traffic in ECs and support a hypothesis that NRP receptors co-traffic internalised cargoes. Importantly, we utilise comparative proteomics analyses to isolate a comprehensive map of NRP1-dependent and NRP2-dependent α5 integrin interactions in ECs.

Digital Promotion of Geoheritage along a Tourist Route in M’Goun UNESCO Geopark (Central High Atlas, Morocco) and Visitor Typology Analysis

In the digital era, highlighting the heritage resources of a mountainous region involves describing and advertising them to promote their visibility and attractiveness. Previous studies mainly assess the natural resources of such regions through a multi-indicator descriptive evaluation. This study aims to develop an effective evaluation of such indicators along the main tourist route of the M’Goun UNESCO Global Geopark, located in the central High Atlas of Morocco. The implementation of an experiential method to assess the tourism characteristics of this region is a notable aspect of our study. It includes analyzing the criteria for choosing this destination by segmenting tourists’ consumption experiences. Statistical data analysis has identified five dimensions of destination choice and four visitor groups. Additionally, we created an interactive map and made it accessible online to promote the natural geoheritage of this region. This article proposes to discuss the findings of this research and their applicability in terms of tourism destination management and decision-making, which can assist local governments in allocating tourism resources and land use rationally.

DNA methylation-based high-resolution mapping of long-distance chromosomal interactions in nucleosome-depleted regions.

3C-based methods have significantly advanced our understanding of 3D genome organization. However, it remains a formidable task to precisely capture long-range chromosomal interactions between individual loci, such as those between promoters and distal enhancers. Here, we present Methyltransferase Targeting-based chromosome Architecture Capture (MTAC), a method that maps the contacts between a target site (viewpoint) and the rest of the genome in budding yeast with high resolution and sensitivity. MTAC detects hundreds of intra- and inter-chromosomal interactions within nucleosome-depleted regions (NDRs) that cannot be captured by 4C, Hi-C, or Micro-C. By applying MTAC to various viewpoints, we find that (1) most long-distance chromosomal interactions detected by MTAC reflect tethering by the nuclear pore complexes (NPCs), (2) genes co-regulated by methionine assemble into inter-chromosomal clusters near NPCs upon activation, (3) mediated by condensin, the mating locus forms a highly specific interaction with the recombination enhancer (RE) in a mating-type specific manner, and (4) correlation of MTAC signals among NDRs reveal spatial mixing and segregation of the genome. Overall, these results demonstrate MTAC as a powerful tool to resolve fine-scale long-distance chromosomal interactions and provide insights into the 3D genome organization.

Comprehensive molecular interaction map of TGFβ induced epithelial to mesenchymal transition in breast cancer

Breast cancer is one of the prevailing cancers globally, with a high mortality rate. Metastatic breast cancer (MBC) is an advanced stage of cancer, characterised by a highly nonlinear, heterogeneous process involving numerous singling pathways and regulatory interactions. Epithelial–mesenchymal transition (EMT) emerges as a key mechanism exploited by cancer cells. Transforming Growth Factor-β (TGFβ)-dependent signalling is attributed to promote EMT in advanced stages of breast cancer. A comprehensive regulatory map of TGFβ induced EMT was developed through an extensive literature survey. The network assembled comprises of 312 distinct species (proteins, genes, RNAs, complexes), and 426 reactions (state transitions, nuclear translocations, complex associations, and dissociations). The map was developed by following Systems Biology Graphical Notation (SBGN) using Cell Designer and made publicly available using MINERVA (http://35.174.227.105:8080/minerva/?id=Metastatic_Breast_Cancer_1). While the complete molecular mechanism of MBC is still not known, the map captures the elaborate signalling interplay of TGFβ induced EMT-promoting MBC. Subsequently, the disease map assembled was translated into a Boolean model utilising CaSQ and analysed using Cell Collective. Simulations of these have captured the known experimental outcomes of TGFβ induced EMT in MBC. Hub regulators of the assembled map were identified, and their transcriptome-based analysis confirmed their role in cancer metastasis. Elaborate analysis of this map may help in gaining additional insights into the development and progression of metastatic breast cancer.

Integrated proteomic, phosphoproteomic, and N-glycoproteomic analyses of small extracellular vesicles from C2C12 myoblasts identify specific PTM patterns in ligand-receptor interactions

Small extracellular vesicles (sEVs) are important mediators of intercellular communication by transferring of functional components (proteins, RNAs, and lipids) to recipient cells. Some PTMs, including phosphorylation and N-glycosylation, have been reported to play important role in EV biology, such as biogenesis, protein sorting and uptake of sEVs. MS-based proteomic technology has been applied to identify proteins and PTM modifications in sEVs. Previous proteomic studies of sEVs from C2C12 myoblasts, an important skeletal muscle cell line, focused on identification of proteins, but no PTM information on sEVs proteins is available.In this study, we systematically analyzed the proteome, phosphoproteome, and N-glycoproteome of sEVs from C2C12 myoblasts with LC–MS/MS. In-depth analyses of the three proteomic datasets revealed that the three proteomes identified different catalogues of proteins, and PTMomic analysis could expand the identification of cargos in sEVs. At the proteomic level, a high percentage of membrane proteins, especially tetraspanins, was identified. The sEVs-derived phosphoproteome had a remarkably high level of tyrosine-phosphorylated sites. The tyrosine-phosphorylated proteins might be involved with EPH-Ephrin signaling pathway. At the level of N-glycoproteomics, several glycoforms, such as complex N-linked glycans and sialic acids on glycans, were enriched in sEVs. Retrieving of the ligand-receptor interaction in sEVs revealed that extracellular matrix (ECM) and cell adhesion molecule (CAM) represented the most abundant ligand-receptor pairs in sEVs. Mapping the PTM information on the ligands and receptors revealed that N-glycosylation mainly occurred on ECM and CAM proteins, while phosphorylation occurred on different categories of receptors and ligands. A comprehensive PTM map of ECM-receptor interaction and their components is also provided.In summary, we conducted a comprehensive proteomic and PTMomic analysis of sEVs of C2C12 myoblasts. Integrated proteomic, phosphoproteomic, and N-glycoproteomic analysis of sEVs might provide some insights about their specific uptake mechanism.

AMFNet: Attention-Guided Multi-Scale Fusion Network for Bi-Temporal Change Detection in Remote Sensing Images

Change detection is crucial for evaluating land use, land cover changes, and sustainable development, constituting a significant component of Earth observation tasks. The difficulty in extracting features from high-resolution images, coupled with the complexity of image content, poses challenges for traditional change detection algorithms in terms of accuracy and applicability. The recent emergence of deep learning methods has led to substantial progress in the field of change detection. However, existing frameworks often involve the simplistic integration of bi-temporal features in specific areas, lacking the fusion of temporal information and semantic details in the images. In this paper, we propose an attention-guided multi-scale fusion network (AMFNet), which effectively integrates bi-temporal image features and diverse semantics at both the encoding and decoding stages. AMFNet utilizes a unique attention-guided mechanism to dynamically adjust feature fusion, enhancing adaptability and accuracy in change detection tasks. Our method intelligently incorporates temporal information into the deep learning model, considering the temporal dependency inherent in these tasks. We decode based on an interactive feature map, which improves the model’s understanding of evolving patterns over time. Additionally, we introduce multi-level supervised training to facilitate the learning of fused features across multiple scales. In comparison with different algorithms, our proposed method achieves F1 values of 0.9079, 0.8225, and 0.8809 in the LEVIR-CD, GZ-CD, and SYSU-CD datasets, respectively. Our model outperforms the SOTA model, SAGNet, by 0.69% in terms of F1 and 1.15% in terms of IoU on the LEVIR-CD dataset, by 2.8% in terms of F1 and 1.79% in terms of IoU on the GZ-CD dataset, and by 0.54% in terms of F1 and 0.38% in terms of IoU on the SYSU-CD dataset. The method proposed in this study can be applied to various complex scenarios, establishing a change detection method with strong model generalization capabilities.

The Practice of Post-Handover Party Interactions between Hong Kong and Taiwan

Abstract This article applies a three-level framework based on the logic of ontological security to the case of party interactions between Hong Kong and Taiwan in the post-handover years. Rather than through domestication and subversion, as the literature suggests, this article argues that liminal actors enhance their ontological security through interacting with like-minded partners. Establishing the case of liminality for Hong Kong and Taiwan, this article also finds that both conventional and movement parties in the two political units interacted to strengthen their stable sense of self. However, their practices differed based on their political positions within the political systems and their available resources. This article provides the first empirical mapping of the conventional party interactions between Hong Kong and Taiwan. It seeks to contribute a theoretical framework explaining the close links between political units and their movements.

Enhancing Accessibility and Navigation of Heritage Collections Through Interactive Spatiotemporal Maps

Visualizing data allows us to interactively explore and analyze datasets, which can be dynamic, noisy, and heterogeneous. In the field of cultural heritage, more and more museums and cultural institutions are exploiting modern visualization systems to disseminate their content in an attractive, usable, and interactive way, which involves displaying data on spatiotemporal maps. The SeMap project has built an online resource that displays more than 200,000 cultural objects from the CER.ES repository, which was created by a network of more than 100 Spanish museums. In this repository, SeMap analyzes the textual data to extract meaning, showing the results on interactive spatiotemporal maps, which bring new experiences and perspectives around such objects. This article explains the strategies to visualize such information, as well as an evaluation of the finalized tool by second-year university students on a Data Science graduate programme, as part of the subject of Data Visualization. Results show that most of the students find the tool usable although they do not fully understand the cultural-related content.

Development of an Interactive Web Map Based on Geographical Information Systems

The creation of an interactive web map using geographic information systems is presented. The ArcGIS Online cloud GIS platform server was used to host the web map. Using the Story Map template, a story map was created that includes texts, images, scenes and maps. The result of the work is work for the development of domestic and international tourism in the country.

Mapping global orchid assemblages with deep learning provides novel conservation insights

Although increasing threats on biodiversity are now widely recognised, there are no accurate global maps showing whether and where species assemblages are at risk. We hereby assess and map at kilometre resolution the conservation status of the iconic orchid family, and discuss the insights conveyed at multiple scales. We introduce a new Deep Species Distribution Model trained on 1 M occurrences of 14 K orchid species to predict their assemblages at global scale and at kilometre resolution. We propose two main indicators of the conservation status of the assemblages: (i) the proportion of threatened species, and (ii) the status of the most threatened species in the assemblage. We show and analyze the variation of these indicators at World scale and in relation to currently protected areas in Sumatra island. Global and interactive maps available online show the indicators of conservation status of orchid assemblages, with sharp spatial variations at all scales. The highest level of threat is found at Madagascar and the neighbouring islands. In Sumatra, we found good correspondence of protected areas with our indicators, but supplementing current IUCN assessments with status predictions results in alarming levels of species threat across the island. Recent advances in deep learning enable reliable mapping of the conservation status of species assemblages on a global scale. As an umbrella taxon, orchid family provides a reference for identifying vulnerable ecosystems worldwide, and prioritising conservation actions both at international and local levels.

Expression analysis and mapping of Viral—Host Protein interactions of Poxviridae suggests a lead candidate molecule targeting Mpox

BackgroundMonkeypox (Mpox) is an important human pathogen without etiological treatment. A viral-host interactome study may advance our understanding of molecular pathogenesis and lead to the discovery of suitable therapeutic targets.MethodsGEO Expression datasets characterizing mRNA profile changes in different host responses to poxviruses were analyzed for shared pathway identification, and then, the Protein–protein interaction (PPI) maps were built. The viral gene expression datasets of Monkeypox virus (MPXV) and Vaccinia virus (VACV) were used to identify the significant viral genes and further investigated for their binding to the library of targeting molecules.ResultsInfection with MPXV interferes with various cellular pathways, including interleukin and MAPK signaling. While most host differentially expressed genes (DEGs) are predominantly downregulated upon infection, marked enrichments in histone modifiers and immune-related genes were observed. PPI analysis revealed a set of novel virus-specific protein interactions for the genes in the above functional clusters. The viral DEGs exhibited variable expression patterns in three studied cell types: primary human monocytes, primary human fibroblast, and HeLa, resulting in 118 commonly deregulated proteins. Poxvirus proteins C6R derived protein K7 and K7R of MPXV and VACV were prioritized as targets for potential therapeutic interventions based on their histone-regulating and immunosuppressive properties. In the computational docking and Molecular Dynamics (MD) experiments, these proteins were shown to bind the candidate small molecule S3I-201, which was further prioritized for lead development.ResultsMPXV circumvents cellular antiviral defenses by engaging histone modification and immune evasion strategies. C6R-derived protein K7 binding candidate molecule S3I-201 is a priority promising candidate for treating Mpox.

Web-based Dashboard on ECMO Utilization in Germany: An Interactive Visualization, Analyses, and Prediction Based on Real-life Data

In Germany, a comprehensive reimbursement policy for extracorporeal membrane oxygenation (ECMO) results in the highest per capita use worldwide, although benefits remain controversial. Public ECMO data is unstructured and poorly accessible to healthcare professionals, researchers, and policymakers. In addition, there are no uniform policies for ECMO allocation which confronts medical personnel with ethical considerations during health crises such as respiratory virus outbreaks.Retrospective information on adult and pediatric ECMO support performed in German hospitals was extracted from publicly available reimbursement data and hospital quality reports and processed to create the web-based ECMO Dashboard built on Open-Source software. Patient-level and hospital-level data were merged resulting in a solid base for ECMO use analysis and ECMO demand forecasting with high spatial granularity at the level of 413 county and city districts in Germany.The ECMO Dashboard (https://www.ecmo-dash.de/), an innovative visual platform, presents the retrospective utilization patterns of ECMO support in Germany. It features interactive maps, comprehensive charts, and tables, providing insights at the hospital, district, and national levels. This tool also highlights the high prevalence of ECMO support in Germany and emphasizes districts with ECMO surplus – where patients from other regions are treated, or deficit – origins from which ECMO patients are transferred to other regions. The dashboard will evolve iteratively to provide stakeholders with vital information for informed and transparent resource allocation and decision-making.Accessible public routine data could support evidence-informed, forward-looking resource management policies, which are urgently needed to increase the quality and prepare the critical care infrastructure for future pandemics.

Інтерактивні карти як форми презентації архівних джерел: досвід ЦДНТА України

Інтерактивні карти як форми презентації архівних джерел: досвід ЦДНТА України