Search Results (350)

Trustworthy digital credential management is increasingly important in LMS-connected higher-education information systems, yet institutions still lack controlled implementation-oriented evidence on how cloud-native service decomposition and blockchain-backed trust services influence deployment performance. This study develops and evaluates a cloud-native architecture that combines containerized microservices with Hyperledger Fabric-based permissioned ledger services and a Polygon-linked public-chain anchoring path for credential issuance, learning-record verification, and record validation. Unlike largely conceptual prior work, it benchmarks four functionally aligned deployment paths in a unified Kubernetes-managed testbed: a monolithic baseline, a microservices-only baseline, a Hyperledger Fabric-integrated variant, and a Polygon-linked anchoring path. The credential-service paths were evaluated under stepped workloads from 1000 to 20,000 scheduled virtual users. Evaluation focused on service-path latency, throughput, tamper-detection accuracy, and resource utilization. The microservices-only architecture achieved the lowest baseline latency (182 ms), Hyperledger Fabric maintained stable response times for trusted institutional workflows (352 ms at baseline and 485 ms at 20,000 virtual users), and the Polygon-linked anchoring path reached the highest observed service-path throughput (228 TPS) in the tested prototype. Both blockchain-integrated variants detected tampered credentials in all successfully processed tamper cases. Overall, the results show that cloud-native decomposition and ledger-backed trust and anchoring can support scalable and trustworthy credential services when platform choice aligns with institutional governance scope, verification audience, and deployment constraints. Full article

While infrastructure asset management increasingly relies on high-resolution drone imagery, existing workflows suffer from fragmented information management and dependence on costly local processing infrastructure. This paper addresses these limitations by using a cloud-native spatial intelligence hub that converts raw inspection imagery into an interactive and queryable three-dimensional information layer. The system integrates a timeout-resilient orchestration layer for photogrammetry pipelines, a multi-user three-dimensional environment for collaborative review, and a PostGIS-backed spatial database that stores defects as georeferenced anchors. We further introduce a spatial anchoring workflow mapping three-dimensional interactions to world coordinates, retrieving context-relevant images via frustum-based visibility scoring. Evaluated on real inspection datasets, the serverless architecture achieved end-to-end reconstruction in under one hour with sub-25 ms query latency. Results indicate that acquisition geometry, particularly oblique convergent viewpoints, is a stronger predictor of reconstruction complexity than image count. This work establishes a reproducible reference architecture, enabling a transition from file-centric documentation to traceable, spatially indexed evidence management for infrastructure Digital Twins. Full article

Introduction: Studying the structure and dynamics of living communities is essential from both ecological and wildlife management perspectives. Objective: The main objective of this study was to analyze the fish community structure inhabiting different river sections across several basins in the Mediterranean area. The data collected here contributed to: (i) creating a regional and national reference inventory to assess ichthyological biodiversity; (ii) generating digital cartographic information on species distribution and potential habitats; and (iii) providing scientific data to update national legal protection for governments. Methodology: Fish assemblages were monitored using electrofishing, which ensures reproducible data and long-term comparability. The study period extended until autumn 2025, with intensive sampling at 30 sites across major water bodies in the Valencian Community and selected rivers in Mijares, Turia, Jucar and Palancia basins. Results: The results reveal notable ichthyological richness in the studied basins (Turia, Júcar, Palancia, Mijares), with 12 native species identified. Cyprinidae and Leuciscidae were the most representative families, both in species number and spatial distribution, consistent with their dominance in Mediterranean river systems. Areas with the highest species richness corresponded to the middle and lower river sections and to ecologically valuable coastal wetlands. However, the study also detected 10 invasive alien species, representing 45% of the total fish fauna recorded. This high proportion reflects the significant ecological alteration affecting rivers and wetlands in these basins and underscores the urgent need for management actions to limit the spread of invasive species and reduce their impact on native biodiversity. The most widespread IAS were the bleak (A. alburnus), mainly in the Júcar basin, and the mosquitofish (G. holbrooki), predominantly in coastal wetlands. Conclusions: This study contributes directly to updating the Atlas of Ichthyofauna of the Valencian Community, providing a robust and current information base to support environmental decision-making at regional and national levels. The findings highlight the importance of strengthening proactive conservation measures, particularly in areas where biodiversity is most vulnerable. Full article

While reading habits strongly correlate with academic success, empirical data regarding higher education (HE) literacy in Portugal remains scarce, particularly across the private sector. This study addresses this gap through a cross-institutional analysis comparing public and private HEIs alongside the island regions of Madeira and the Azores, challenging the assumption that digital natives universally reject print. A survey was administered to 558 students across 140 study cycles from 33 public and private HEIs, with data evaluated via non-parametric inferential methodologies. The sample displayed high reading appreciation, yielding a mean enjoyment score of 7.54 out of 10 (SD = 2.29) and an annual median of 4 books. Significant demographic variations (p < 0.05) emerged: female and older (23+) students demonstrated a significantly higher love of reading and voluntary book consumption, whereas males and younger cohorts gravitated toward technical texts and digital periodicals. Conversely, groups converged regarding internet usage and the primary structural barrier to literacy: an acute lack of time (67.9%). Crucially, while HEI type did not impact genre or platform choices, public university students reported significantly higher reading enjoyment and read more books annually than their private-sector peers (p < 0.05). These findings underscore that individual literacy is actively moderated by institutional micro-climates, providing administrators with precise empirical targets to design tailored reading initiatives. Full article

(1) Background: In the competitive landscape of shopping apps, strategically combining visual elements like color and mascots is crucial for capturing user attention. However, it remains unclear whether their effects are independent, synergistic, or stable, a gap that limits evidence-based design. This study is grounded in the Stimulus-Organism-Response (S-O-R) framework. It investigates how color and mascots, as external stimuli, influence users’ internal attentional state (the organism), which in turn precedes behavioral responses. (2) Methods: Using eye-tracking technology, we conducted a mixed-design experiment with 82 participants. They viewed six sets of authentic app stimuli (icons, launch screens, promotional posters) across colored and non-colored conditions, with or without mascots. Fixation duration and count served as objective measures of attentional engagement. (3) Results: Results revealed significant main effects for both mascots (F(1, 80) = 57.976, p < 0.001) and color (F(1, 80) = 5.010, p = 0.028) on attention. Crucially, their interaction was non-significant (p = 0.450), indicating independent and additive effects. The mascot effect remained robust in both colored and non-colored conditions. (4) Conclusions: The findings, interpreted through the S-O-R lens, suggest that color and mascots operate via distinct pathways in shaping attentional engagement. This supports a hierarchical design strategy: mascots form a stable, foundational attentional attractor, while color provides an independent, enhancing layer. This mechanistic understanding offers a theoretical and practical guide for optimizing visual appeal in app design, particularly for the young, digitally native user demographic that constitutes the core market of the studied platforms. Full article

This study investigates the role of the Massive Transformative Purpose (MTP) in shaping corporate brand identity and guiding brand management strategies in Exponential Organizations (ExOs). It examines how the MTP aligns internal and external brand dimensions, enhances stakeholder engagement, and drives societal impact, positioning it as a central element in ExO brand management. This study employs a qualitative multiple-case study methodology focusing on two ExOs: Airbnb, a digital-native hospitality company, and Mylia, a transformative learning enterprise. Semi-structured interviews with senior executives were triangulated with internal and external data to examine how the MTP drives strategy, culture, and stakeholder engagement. This allowed the application of the Corporate Brand Identity Matrix for exploring the different corporate brand identities and the relative nuances. The findings show that the MTP is essential to shaping ExOs’ corporate brand identity. It unifies organizational purpose, culture, and strategy, creating a cohesive identity that resonates both internally and externally. Embedding the MTP into daily practices fosters alignment, guides decision-making, strengthens stakeholder relationships, and shapes value propositions that distinguish ExOs while addressing stakeholder needs. The research bridges gaps in the literature on corporate brand identity, organizational purpose, and the unique characteristics of ExOs. It introduces the MTP Management Model, which integrates ExO-specific attributes to provide deeper insights into how these organizations align operational structures and brand identity with their transformative purpose. While the multiple-case study approach offers in-depth insights, the findings are context-specific and may not be fully generalizable across industries. The MTP Management Model provides a clear framework to integrate essential attributes, ensuring organizational coherence, effective communication, and enhanced competitiveness. Full article

Ultrasonography can assist in the preoperative evaluation and postoperative surveillance of superficial soft tissue tumors of the hand. We present an ultrasound-based identification of a neurofibroma in a patient with neurofibromatosis type 1 (NF1). A 45-year-old male presented with a slowly enlarging subcutaneous mass over the dorsal aspect of the hand associated with localized paresthesia. Physical examination revealed characteristic NF1 stigmata, including café-au-lait macules, axillary freckling, and craniofacial asymmetry suggestive of sphenoid wing dysplasia. High-resolution ultrasonography demonstrated a well-defined hypoechoic fusiform lesion along the course of a digital nerve, suggestive of a peripheral nerve sheath tumor. Magnetic resonance imaging showed a T2-hyperintense lesion compatible with a nerve sheath tumor. Surgical excision was subsequently performed, and histopathological examination confirmed a localized neurofibroma with incorporation of native nerve fascicles within a myxoid spindle cell matrix. Serial postoperative ultrasonography at 3 and 12 months demonstrated no evidence of local recurrence. This case highlights ultrasonography as a practical, radiation-free, and cost-effective modality for both preoperative assessment and longitudinal follow-up of superficial NF1-associated neurofibromas. Full article

Digital technologies make it possible to combine multiple technical functionalities within applications that address practical and organizational needs. This paper presents Cozzmo, an Android mobile prototype for supporting communication and coordination in shared households. The system combines chat, polls, chores, shopping support, photo albums, presence awareness, mood indicators, and location-based alerts in one application. The prototype was implemented in native Java for Android using Firebase services and an MVVM architecture with LiveData. Its real-time behavior was evaluated on two physical Android devices under mixed connectivity conditions, including mobile data, hotspot use, and temporary connection loss. The evaluation examined end-to-end propagation delay, recovery after reconnection, and state convergence during concurrent user actions. In the reported test sessions, the prototype preserved update order in baseline scenarios, recovered queued messages after short interruptions, and reached a consistent final state in the concurrent voting and task-update tests. The time needed for updates to appear in the interface was less than the propagation delay, suggesting that the measured response path was shaped mainly by network and backend propagation. These findings indicate that the prototype is technically viable and can serve as a basis for further work on mobile systems for household collaboration. Full article

Digital transformation (DT) is becoming of strategic importance for Small, Medium and Micro Enterprises (SMMEs), especially in the retail sector, where a significant portion of customer engagement, operational efficiency, and market competitiveness is shaped by digital technologies. Even though there is a growing availability of smartphones, mobile payment systems, and social media platforms, many South African retail SMMEs struggle to achieve a sustained and meaningful DT. Existing studies offer limited insights into the dynamic interactions between technological, organisational, and human agency factors that enable digital uptake over time. This study investigates the sociotechnical dynamics of DT among retail SMMEs in the Eastern and Western Cape provinces of South Africa. The research integrates Adaptive Structuration Theory (AST) with the Limits to Success Archetype (LSA) to conceptualise DT as an evolving process shaped by the interplay of technology, organisational structures (formal arrangement of roles, responsibilities, authority, and communication patterns within an organisation), and human agency. Using an exploratory qualitative research design, purposively sampled semi-structured interviews were conducted with 23 retail owners, directors and managers. The interviews were transcribed, and the data were analysed thematically using the Braun and Clarke six-step thematic analysis framework on Atlas.ti 25. Findings indicate that DT in retail SMMEs is enabled by pragmatic, tool-level digital adoption, training, education, ongoing skill development, alignment with business capacity, regulatory clarity, operational realities, addressing scams, fraud, data security, a user-friendly interface, and the availability of native language digital tools, structural interventions that reduce inequality, and DT ecosystem support. The study contributes to DT scholarship by integrating sociotechnical and systems-thinking perspectives to explain the trajectories of DT in retail SMMEs. It also provides practical insights for policymakers, support institutions, and digital ecosystem actors seeking to democratise DT in emerging-market retail contexts. Full article

Analog digital video recorders (DVRs) are still extensively used in small-to-medium business and home security systems, but there are special problems when it comes to forensic recovery of video evidence in these systems that are not covered by tools or methodology. Compared to the IP-based network video recorders, analog DVRs packetize video frames of several coaxial-connected cameras into a single interleaved binary stream on disk, necessitating channel demultiplexing before single camera footage can be reassembled. In this paper, we discuss a multi-channel analog Dahua DVR system utilizing the DHAV frame format, with a focus on the forensic recovery approach. Three significant contributions are presented in the methodology: (1) a channel demultiplexing algorithm that separates interleaved frames with up to 32 cameras on the basis of embedded channel identifiers and temporal coherence analysis; (2) a frame sequence stitching mechanism to reassemble continuous video segments on the basis of non-contiguous disk fragments using adaptive frame number tolerance (±3 frames) and temporal validation (≤1 second difference); and (3) a native C implementation with Win32 GUI providing significant performance improvements over interpreted alternatives. The system was tested on 14 analog Dahua DVR hard drives of various models, with a 92.3% recovery rate (97.1% on hard drives with no hardware damage), 91.3% temporal accuracy, 97.5% channel separation accuracy and a 1.8% false positive rate. The methodology fills an important gap in the literature of surveillance forensics, where current studies have only concentrated on IP-based digital systems, and analog DVRs form an estimated 35–40% of operational surveillance systems across emerging markets. The channel demultiplexing capability, which is not found in any current commercial or academic tool, enables automated per-camera organization of interleaved streams, converting what was previously a manual multi-day process into an automated one. Full article

NanoArduSiPM represents a paradigm shift in the ArduSiPM (Architected Detection Unit for Silicon Photomultipliers) roadmap, evolving from a standalone instrument into a high-density modular building block (36 mm × 42 mm × 3 mm, 7 g). This revision does not merely pursue miniaturization; it re-engineers the signal-processing chain to maintain high performance within a scaled-down footprint, enabling the transition from single-unit detection to scalable, distributed multi-detector systems. NanoArduSiPM is based on a three-layer architecture comprising an external scintillator and Silicon Photomultiplier (SiPM) detection module, a dedicated high-speed discrete analog front-end, and a System-on-Chip (SoC) for embedded acquisition and processing. The physical implementation adopts high-integrity PCB routing and rigorous isolation techniques designed to suppress digital–analog coupling, a critical requirement in such a compact form factor. This deterministic layout strategy provides the architectural foundation for time-tagging capabilities, currently under quantitative characterization, by addressing the fundamental sources of signal interference at the hardware level. Beyond hardware integration, NanoArduSiPM introduces the capability for extended firmware functionality, including event tagging via external inputs and the implementation of coincidence and veto logic. This framework supports the acquisition of multiple correlated histograms and allows multiple units to be interconnected on a shared SPI bus. By shifting from standalone operation to a coordinated, hierarchical architecture, NanoArduSiPM enables distributed detection schemes where event selection and correlation are handled natively within the system, reducing the dependency on external data acquisition electronics. The compact modular architecture, together with the high-performance discrete analog front-end and embedded data handling, makes NanoArduSiPM suitable for applications where low mass and low power consumption are critical, targeting applications such as space-based payloads, laboratory instrumentation, remote sensing, and large-scale distributed multi-channel detection systems. While no radiation-tolerance qualification of the complete system has been performed in this work, the microcontroller family used in the design is also available in radiation-tolerant variants, which may support future implementations targeting more demanding radiation environments. Full article

Background: A physically active lifestyle is crucial for long-term cardiovascular health; however, access to supervised exercise programs for children and adolescents with congenital heart disease (CHD) remains limited. Although prior digital exercise interventions for this population have demonstrated safety and feasibility, adherence has often been low. Mobile health approaches integrating gamification may enhance motivation and engagement, particularly among young “digital natives.” FOOTLOOSE is an app-based home exercise program developed specifically for children and adolescents with CHD. This study aimed to evaluate user experience, usability, and perceived impact using a multimethod approach. Methods: Children and adolescents aged 10–18 years with simple, moderate, or complex CHD were recruited between July and December 2025 mainly during routine outpatient visits at the TUM Klinikum Deutsches Herzzentrum. Participants used the FOOTLOOSE app in their daily lives over a two-week period. Evaluation included semi-structured qualitative interviews and standardized questionnaires assessing physical activity self-efficacy, enjoyment of physical activity (PACES-S), user experience (UEQ), and health-related quality of life (KINDL^®). Interviews were conducted digitally, transcribed verbatim, and analyzed using qualitative content analysis according to Kuckartz until thematic saturation was reached. Results: A total of 22 participants (mean age 13.4 ± 2.3 years; 54.5% female) were included. Overall, the FOOTLOOSE app was perceived positively, with participants highlighting enjoyment, intuitive usability, and personalized workout creation. Participants contributed diverse and creative suggestions for further app development, particularly regarding more advanced gamification features (e.g., games or rankings). Most participants reported self-perceived increase in physical activity during the intervention period (n = 15). UEQ scores (mean ± SD) were as follows: attractiveness (1.3 ± 0.8), perspicuity (1.7 ± 1.1), efficiency (1.2 ± 0.9), dependability (1.4 ± 0.7), stimulation (1.0 ± 1.1), and novelty (0.6 ± 1.0). Conclusions: This study demonstrates the feasibility and user acceptance of a gamified, app-based home exercise program for children and adolescents with CHD. User-centered feedback highlights important directions for iterative refinement, particularly regarding age-appropriate and engaging gamification elements. These findings provide a foundation for future studies evaluating long-term engagement and effectiveness in larger samples. Full article

Digital commerce ecosystems increasingly depend on the alignment between social media advertising formats and digital payment systems, yet existing research has examined these mechanisms in isolation, overlooking their combined influence on consumer behaviour, conversion, and long-term value creation. This study addresses that gap by developing an integrative conceptual framework that examines how advertising formats and payment infrastructures jointly shape sustainable digital monetisation within an Environmental, Social, and Governance (ESG) framework. Methodologically, the study adopts a structured narrative literature review of interdisciplinary peer-reviewed studies and selected high-quality institutional reports, drawn from Scopus, Web of Science Core Collection, and Google Scholar, covering publications from 2015 to April 2026. A four-stage PRISMA-adapted selection protocol was applied to ensure transparency, replicability, and analytical rigour across the review process. The findings demonstrate that advertising formats including native advertising, influencer marketing, user-generated content, short-form video, live streaming, and augmented reality drive consumer attention and purchase intention, while payment systems encompassing digital wallets, BNPL services, and in-platform checkout shape transactional trust and friction. Conversion and customer lifetime value emerge as joint outcomes of this interaction, mediated by consumer trust and transaction friction. The study further identifies key sustainability tensions related to digital carbon footprints from data-intensive formats, financial vulnerability associated with frictionless credit tools, and governance concerns surrounding transparency, privacy, and platform power concentration. The study contributes an integrative conceptual model linking advertising formats, payment systems, consumer behaviour, and ESG dimensions within a unified framework, supported by six theoretically grounded hypotheses (H1–H6) to guide future empirical research in sustainable digital commerce. Full article

Digital Twins (DTs) are increasingly deployed in Industry 4.0 to enable real-time monitoring, analysis, and control, yet the transition from isolated DT instances to plant-wide ecosystems across cloud and edge infrastructures introduces fragmentation and coordination challenges among heterogeneous assets, data sources, and services. This paper addresses this gap by proposing a cloud-native Digital Twin Computing Layer (DTCL) that provides a unified control and orchestration plane for composing and operating DT applications in Smart Manufacturing. The DTCL is designed as a three-tier architecture comprising a developer-facing user interface, a Deploy Engine for automated deployment and lifecycle management, and a Service Catalog of reusable, independently deployable microservices. Standardized interaction is supported through semantic DT models and API- and message-based communication mechanisms. A governance workflow, based on service discovery and validation, is introduced to support non-redundant integration and controlled evolution of services. The approach is demonstrated through a Smart Manufacturing predictive maintenance case study and further extended with a Smart Mobility scenario for urban public transport planning, highlighting the flexibility of the DTCL across different application domains. Overall, the DTCL supports modular composition, interoperability, and lifecycle governance across heterogeneous Digital Twin applications, providing a scalable foundation for both industrial and urban data-driven scenarios. Full article

Soil fungal communities play a central role in nutrient cycling and ecosystem functioning in tropical montane forests, yet the relative influence of topographic heterogeneity and soil depth on their assembly remains poorly understood. This study evaluated the composition, diversity, and functional structure of soil fungal communities associated with an experimental Podocarpus oleifolius plantation in the Colombian Andes. Using ITS2 rDNA sequencing, fungal assemblages were characterized from soil samples collected around ten trees distributed along a topographic gradient. For each tree, samples were collected at two soil depths (0–10 cm and 10–20 cm), yielding a total of 17 samples after quality control. Topographic variables derived from a digital elevation model were used to evaluate their influence on community structure. A total of 1875 Operational Taxonomic Units (OTUs) were detected, dominated by Ascomycota. No significant differences in alpha or beta diversity were observed between soil depths. In contrast, slope emerged as the strongest environmental driver of community composition. A high proportion of unassigned OTUs highlighted the presence of poorly characterized fungal diversity. These findings highlight the importance of incorporating fine-scale terrain heterogeneity into restoration strategies with native species and into future studies of soil microbial dynamics in tropical montane ecosystems. Full article