Search Results (5,338)

Background: Advanced glycation end-products (AGEs) are formed and deposited in tissues, contributing to various disorders, including diabetes, other metabolic diseases, and aging. A new epitope, AGE10, was identified in human and animal tissues using a monoclonal antibody raised against synthetic melibiose-derived glycation end-products (MAGE), which were synthesized under anhydrous conditions with bovine serum albumin or myoglobin. The biology of the AGE10 epitope, particularly its role in diseases and in cancer tissues, is not well understood. Methods: The study was aimed at investigating the immunohistochemical recognition of AGE10 with the MoAb-anti-MAGE antibody. Results: Data obtained show that AGE10 is recognized in striated muscles but not in tumors of muscular origin. AGE10 is also stained in both normal and cancerous salivary glands and in adenomas of the large intestine. The staining is cytoplasmic. Discussion: Our approach may provide a methodology for cell biology research; AGE10 may be related to an advanced lipoxidation end-product; further investigation of MAGE may clarify disease mechanisms, support the development of novel therapeutic strategies. Conclusions: The key finding is that antibodies recognize mainly the epitope in epithelial and some mesenchymal tissues. Thus, the potential for AGE10 as a diagnostic marker is limited. The implications concern the biology of this epitope, the unique tissue distribution, and a role in cellular metabolism. Full article

Cervical cancer (CC) remains a significant public health problem. Despite the availability of standard treatment strategies, chemotherapy-resistant tumors persist, highlighting the need to explore new therapeutic approaches or adjuvant strategies. This underscores the importance of preclinical in vivo models. Conventional models, such as murine xenografts, patient-derived xenografts (PDXs), and patient-derived organoids (PDOs), provide valuable biological relevance but are often time-consuming, costly, and resource-intensive. In this context, the chick embryo chorioallantoic membrane (CAM) assay represents a rapid, low-cost, and technically accessible in vivo platform. The CAM is a non-innervated, highly vascularized extraembryonic structure that provides a suitable environment for tumor generation from xenografts. However, despite the broad use of the CAM assay for tumor xenografts, standardized and comparative methodological optimizations specifically addressing technical variables for cervical cancer tumor induction remain limited. Therefore, the aim of this study was to optimize the CAM assay for tumor generation using the HeLa and SiHa cell lines. The generated tumors are vascularized and exhibit Ki-67 expression. The CAM assay is an excellent short-term exploratory model based on developing chicken embryos for studying the developmental biology of cervical tumors, which would accelerate the preclinical investigation of new therapeutic molecules. Full article

This paper addresses the problem of imbalance between coastal and inland areas and recognises the reuse of abandoned buildings as an evolutionary regeneration strategy which, through specific interventions linked by a system of routes for tourism and sport, can gradually trigger sustainable development on a regional scale. It presents research conducted in recent years on behalf of local administrations and continued in national and European projects. The reference context is the Abruzzo region, where coastal, hilly and mountainous areas are a short distance apart and include both densely built-up and populated urban centres and small depopulated towns surrounded by landscapes of high environmental value. The objective is to define, through the responsible use of built resources, viable and sustainable strategies for regeneration and rebalancing oriented towards the concept of transformative resilience. The methodology adopted is divided into phases and includes both theoretical developments and case study applications according to an approach that networks building restoration and reuse interventions in the region. The key results consist of defining a reuse logic that considers the regional territory as a whole, linking different resources, functions and environments. This logic, which envisages the organisation of new functions on a regional scale, emphasises the capacity of building reuse to produce positive effects on the territory and trigger socio-economic development dynamics. This research forms part of the experience underlying a project of significant national interest (PRIN 2022 TRIALs), which will provide guidelines for activating the transformative resilience capacities of inland areas of central Italy. Full article

Chimeric antigen receptor (CAR)-T-cell therapy is a revolutionary approach in immunotherapy that has shown remarkable success in the treatment of blood cancers. Many preclinical studies are currently underway worldwide to extend the CAR-T-cell therapy benefits to a broad spectrum of cancers, using rodent models. Alternative in vivo platforms are essential for overcoming the drawbacks associated with rodent models, including immunodeficiency in humanized models, ethical concerns, extended time requirements, and cost. In this work, we used the chicken chorioallantoic membrane (CAM) assay to evaluate the in vivo efficacy of cluster-of-differentiation 19 (CD19)-targeting CAR-T cells expressing a second-generation CAR construct against human lymphoma derived from the Raji cell line. Our results confirm the efficacy of selected CAR-T cells on tumor growth, metastasis, and angiogenesis. Further, the chicken embryo has an intrinsic active immune system. Therefore, the dialog between CAR-T cells and endogenous immune cells, as well as their participation in the tumor challenge, has also been studied. In conclusion, our study demonstrates that the chicken CAM assay provides a relevant in vivo, 3Rs (Replacement, Reduction and Refinement)-compliant new approach methodology (NAM), which is well-suited for the current needs of preclinical research on CAR-T-cell therapy. Full article

This study provides a comprehensive, long-term evaluation of inter-sensor radiometric calibration biases for the NOAA OMPS Nadir and CrIS instruments using four complementary validation methodologies implemented within the Inter-Sensor Radiometric Bias Assessment (iSensor-RCBA) portal, a component of the STAR Integrated Calibration/Validation System. Overall, SDR data quality from the three OMPS Nadir instruments and three CrIS instruments aboard SNPP, NOAA-20, and NOAA-21 remains stable. The iSensor-RCBA portal has also proven to be a powerful diagnostic resource, enabling the detection of both new and previously unrecognized calibration issues and anomalies. Using the 32-day averaged difference method, we were the first to discover and identify the root cause of an inconsistency near 280 nm in inter-sensor radiometric biases between the SNPP and NOAA-20 OMPS NP instruments. The same method also revealed an unusual radiometric feature in NOAA-21 CrIS SDRs over the southern high latitudes during spring and summer. In addition, we derived decade-long degradation rates at 11 Metop-B GOME-2 wavelengths using an independent dataset—Simultaneous Nadir Overpass observations between SNPP OMPS and Metop-B GOME-2. Furthermore, iSensor-RCBA monitoring confirmed two geolocation anomalies in SNPP CrIS through a new approach involving SNO-based inter-sensor biases between GOES-16 ABI and SNPP CrIS. These cases demonstrate that iSensor-RCBA is not only a monitoring visualization tool but also a diagnostic tool that delivers unique, complementary insight into instrument performance, enabling early identification of radiometric and geolocation issues across JPSS and other satellite missions. Importantly, the analysis methods used in this study are broadly applicable to current and future missions, including JPSS-03, JPSS-04, and non-NOAA satellite systems. Full article

In this study, an analysis of fractional-order Lü systems is performed through a framework approach consisting of analytical solution strategies in combination with numerical methods. On the analytical methodology front, the recently developed form of the new generalized differential transform method (NGDTM) is adopted for its efficiency in providing an approximate solution with high capability in tracking the behavior of these systems. On the other hand, the Grünwald–Letnikov via Riemann–Liouville scheme (GLNS) is adopted within this study as one of its tools in confirming whether chaos exists within these systems. The performance and accuracy of the proposed method are also rigorously tested, and comparisons are made numerically with the Adams–Bashforth–Moulton method, which is used here as a standard method for validation purposes. It is clear from the results that the combination of analytical and numerical methods can greatly enhance both the speed of computation and the accuracy of results. Additionally, the proposed method or approach is found to be quite robust and accurate and can thus be employed for analyzing various fractional dynamical systems that display chaotic attractors. The proposed method can also be expanded upon in the future for analyzing complex models in science and engineering. Full article

Stroke is a leading cause of death and long-term disability worldwide, with ischemic stroke accounting for approximately 62.4% of all cases. This condition often results in persistent motor dysfunction, significantly reducing patients’ productivity. The effectiveness of rehabilitation therapy is crucial for post-stroke motor recovery. However, limited access to rehabilitation services particularly in low- and middle-income countries remains a major barrier due to a shortage of experienced professionals. This challenge also affects home-based rehabilitation, an alternative to conventional therapy, which primarily relies on standard evaluation methods that are heavily dependent on expert interpretation. Electromyography (EMG) offers an objective and alternative approach to assessing muscle activity during stroke therapy in home environments. Recent advancements in deep learning (DL) have opened new avenues for automating the classification of EMG data, enabling differentiation between post-stroke patients and healthy individuals. This study introduces a novel methodology for transforming EMG signals into time–frequency representation (TFR) spectrograms, which serve as input for a convolutional neural network (CNN) model. The proposed Tri-CCNN model achieved the highest classification accuracy of 93.33%, outperforming both the Shallow CNN and the classic LeNet-5 architecture. Furthermore, an in-depth analysis of spectrogram amplitude distributions revealed distinct patterns in stroke patients, demonstrating the method’s potential for objective stroke assessment. These findings suggest that the proposed approach could serve as an effective tool for enhancing stroke classification and rehabilitation procedures, with significant implications for automating rehabilitation monitoring in home-based rehabilitation (HBR) settings. Full article

Inclusive graphic design has emerged as a relevant approach within contemporary visual communication studies, driven by the need to ensure that graphic messages can be understood and used by diverse groups of users. Within this context, the present study conducted a systematic literature review with the aim of identifying the advances, trends, and recommendations that support the development of inclusive practices in graphic design. Using the PRISMA methodology, 85 primary studies were selected and analyzed, providing evidence to address the proposed research questions. The findings indicate a concentration of applications in digital interface design and visual communication, alongside the recurrent use of perceptual, cognitive, and semiotic theories, as well as principles of universal design. The analysis also reveals emerging trends related to new technologies, participatory approaches, and multisensory interactions, in addition to strategies that prioritize legibility, contrast, diverse representation, and user-centered design. Altogether, these findings depict a consolidating field that integrates technical, cultural, and social dimensions, highlighting the importance of continuing to develop research and tools that strengthen accessibility and inclusion in visual communication. Full article

This paper presents the Living Lab Assessment Method (LLAM), a context-sensitive framework for assessing impact and value creation in Living Labs (LLs). While LLs have become established instruments for Open and Urban Innovation, systematic and transferable approaches to evaluate their impact remain scarce and still show theoretical and practical barriers. This study proposes a new methodological approach that aims to address these challenges through the development of the LLAM, the Living Lab Assessment Method. This study reports a five-year iterative development process embedded in Ghent’s urban and social innovation ecosystem through the combination of three complementary methodological pillars: (1) co-creation and co-design with lead users, ensuring alignment with practitioner needs and real-world conditions; (2) multiple case study research, enabling iterative refinement across diverse Living Lab projects, and (3) participatory action research, integrating reflexive and iterative cycles of observation, implementation, and adjustment. The LLAM was empirically developed and validated across four use cases, each contributing to the method’s operational robustness and contextual adaptability. Results show that LLAM captures multi-level value creation, ranging from individual learning and network strengthening to systemic transformation, by linking participatory processes to outcomes across stakeholder, project, and ecosystem levels. The paper concludes that LLAM advances both theoretical understanding and practical evaluation of Living Labs by providing a structured, adaptable, and empirically grounded methodology for assessing their contribution to sustainable and inclusive urban innovation. Full article

Urban public spaces increasingly need to address inclusivity, adaptability, and resilience in the face of health, environmental, and social challenges. Urban policies also promote improving the relationship between schools and their surroundings to mitigate and adapt to climate and social risks. This article presents EDUS Point, an experimental prototype developed within the European project FURNISH and tested in Barcelona during the COVID-19 crisis. Conceived as an Urban Living Lab (ULL), the initiative explored how modular, digitally fabricated, and temporary structures could transform school environments into open, inclusive, and human-scale public spaces. Through an inter-scalar and interdisciplinary approach, the project implemented an urban strategy, a participatory community-building process, and a digital collective platform, alongside the design, fabrication, and testing of a pilot classroom device adaptable and replicable in other schools. A mixed-methods methodology combined tactical urbanism and co-design with fabrication feasibility assessments, social observations, and spatial impact analysis. Results demonstrate that EDUS Point fostered new socio-spatial dynamics among students, teachers, and residents, improved accessibility and usability of nearby public spaces, and validated the effectiveness of low-cost, rapidly deployable interventions in addressing urban needs. The findings propose actionable frameworks, tools, and design criteria for the socio-environmental integration of schools as catalysts for inclusive and resilient urban transformation. Full article

Traditional methods of asset management in electric power systems rely upon fixed schedules and reactive measurements, leading to challenges in the transparent prioritization of maintenance under evolving operating conditions and incomplete data. In this paper, we introduce a new, fully integrated artificial intelligence (AI)-driven approach for enhancing the resilience and reliability of open-source asset management tools to support improved performance and decisions in electric power system operations. This methodology addresses and overcomes several significant challenges, including data heterogeneity, algorithmic limitations, and inflexible decision-making, through a three-module workflow. The data fidelity module provides a domain-aware pipeline for identifying structural (missing) values from explicit missingness using sophisticated imputation methods, including Multiple Imputation Chain Equations (MICE) and Generative Adversarial Network (GAN)-based hybrids. The characterization module employs seven complementary weighting strategies, including PCA, Autoencoder, GA-based optimization, SHAP, Decision-Tree Importance, and Entropy Weighting, to achieve objective feature weight assignment, thereby eliminating the need for subjective manual rules. The optimization module enhanced the action space through multi-objective optimization, balancing reliability maximization and cost minimization. A synthetic dataset of 100 power transformers was used to validate that the MICE achieved better imputation than other methods. The optimized weighting framework successfully categorizes Health Index values into five condition levels, while the multi-objective maintenance policy optimization generates decisions that align with real-world asset management practices. The proposed framework provides the Transmission and Distribution System Operators (TSOs/DSOs) with an adaptable, industry-oriented decision-support workflow system for enhancing reliability, optimizing maintenance expenses, and improving asset management policies for critical power infrastructure. Full article

The ambiance-based approach to old urban fabrics has emerged as a response to the evolution of heritage, focusing on the spirit of place and the relationship between people and their environment. It aims to preserve the identity of architectural and urban spaces, incorporating intangible elements beyond their physical character. In Algeria, colonial-era urban fabrics continue to structure cities. Skikda, a city in eastern Algeria was created ex-nihilo during this era. In this context, Didouche Mourad Street—the main thoroughfare and structuring element of the city—constitutes the core of the analysis. This study focuses on the French colonial period (1838–1962), considered a foundational phase in the spatial and sensory formation of the street. It aims to restitute the sensory urban ambiences of this period and to analyse their evolution in order to identify sensory permanences contributing to the heritage identity of the place. A thematic content analysis was used to identify sensory ambiences, supported by NVivo software to quantify their recurrences and analyse their spatio-temporal dynamics. The findings show that some ambiences have persisted, others have disappeared, and new ones have emerged through successive transformations. By documenting the sensory history of the street, this research proposes a conceptual and methodological framework for the interpretation of heritage urban ambiences and for informing contemporary rehabilitation approaches, considering permanent ambiences as interpretative tools and reference points for understanding heritage dynamics. Full article

Refugee-serving primary health centres/clinics (PHCs) provide culturally safe, integrated care for refugee children, yet little is known about how their health conditions and outcomes are assessed. This scoping review examines the current literature on the health conditions and outcomes of refugee children aged 0–5 years and how they are measured in refugee-serving PHCs in Canada. In partnership with the New Canadians Health Centre and guided by Joanna Briggs Institute methodological guidelines, we systematically searched Medline, CINAHL, Scopus, and Embase. Included studies focused on refugee children in Canada and reported health conditions, outcomes, and their measurements within PHCs. Twenty-five studies (2008–2024) met the inclusion criteria, most from Ontario (n = 11), followed by Alberta and Saskatchewan (n = 4 each). Reported health conditions or outcomes (n = 24) spanned the physical (n = 19), developmental, and mental health domains (n = 5). Communicable (e.g., gastrointestinal infections, hepatitis) and non-communicable conditions (e.g., malnutrition, vitamin D deficiency) were mostly reported. Although some standardized approaches were used, substantial variability exists across provinces and conditions or outcomes measured. Findings reveal a disproportionate focus on physical health and notable variability and gaps in child health measures, limited cultural adaptation, and lack of longitudinal data. Standardized, culturally responsive, and age-appropriate measurement approaches are needed to enhance health equity and inform evidence-based policy for refugee children in Canada. Full article

Land-use allocations—such as housing density, parcel size, housing typologies, parks, and other green areas—constitute key spatial planning (zoning) parameters that significantly shape how resources and opportunities are distributed within cities. As such, they play a central role in producing or constraining social justice across urban areas and communities, functioning as mechanisms through which planning and development processes deliver—or withhold—critical resources. Yet the literature remains limited in explaining how the allocation of specific zoning parameters contributes to social justice outcomes, which parameters matter most, and which dimensions of social justice they affect. This paper addresses this gap by examining and conceptualizing how spatial planning (zoning) parameters shape social justice in cities. A conceptual review approach, guided by Jabareen’s methodology, is employed to analyze and categorize planning parameters according to their specific contributions to social justice in cities. Accordingly, the study identifies three dimensions of social justice shaped by these parameters—inclusion, accessibility, and recognition—each addressing a key aspect of urban justice. Building on these concepts, we develop a new conceptual framework, referred to as the Conceptual Framework for Just Urbanism. At its core is the logic of difference, which explains how planning parameters are allocated unevenly across geographies, demographic groups, and socioeconomic conditions, producing spatially differentiated inequalities. The study concludes that planning parameters and zoning are powerful carriers of urban justice through their distribution of resources and opportunities. Full article

This paper presents the results of an integrated research and design process developed within the Master’s study programme in Architecture at the University of Belgrade—Faculty of Architecture, aimed at exploring architectural agency in conditions of ecological degradation, declining biodiversity, and the urgent need for regenerative transformation of the built environment. Moving beyond technologically driven notions of “green design,” the study investigates architectural approaches that support ecosystem restoration, biodiversity enhancement, and multispecies coexistence while strengthening health and well-being. Grounded in a three-phase methodological framework, the research (1) formulates conceptual models of therapeutic landscapes through typo-morphological, place-based, and adventure-based analytical approaches; (2) evaluates these models using the New European Bauhaus (NEB) Checklist to assess their alignment with the core values of sustainability, beauty, and togetherness; and (3) synthesizes the findings into regenerative design scenarios that integrate ecological processes, multisensory experience, and community participation. The results position therapeutic landscapes as a spatial practice in which architecture functions as ecological infrastructure, a metabolic system where natural cycles, cultural meanings, bodily experiences, and more-than-human agencies interact. In this sense, architectural design becomes the basis for re-naturalization, regeneration, ecological care, multisensory experience, and resilience in urban, peri-urban, and rural communities. Full article