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    Prevalence of COVID-19 associated xerostomia, taste and smelldisturbances over 3 years in an Egyptian sample: a cross-sectional study

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    Aim: Although xerostomia, smell, and taste dysfunctions are prominent signs of COVID-19 infection, long-term data regarding their prevalence and recovery rates is scarce. Accordingly, this study aimed to evaluate the frequency and persistence of xerostomia, taste, and smell disturbances in COVID-19 survivors over 3 years in an Egyptian sample. Methods: This cross-sectional study used an online questionnaire to assess the oral symptoms ofxerostomia, which include altered taste and smell. Data was collected from 826 patients recovered from COVID-19. Results: Xerostomia was the most frequent finding affecting 73.6% of the studied sample, followed bysmell disturbances affecting 67.8%, and altered taste reported by 54.6%. Xerostomia lasted less than 1 yearin 48.3% of cases, up to 2 years in 10.4%, and up to 3 years in 7.2% of the study sample. Altered taste lastedless than 1 year in 77.8% of cases, up to 2 years in 2%, and up to 3 years in 0.4% of the study sample. Smell disturbances lasted around 1 month in 62.1% of cases, from 2-3 months in 36.1%, up to 1 year in 1.6%, and up to 2 years in 0.2% of the study sample. Xerostomia altered taste and smell, which impaired the quality of life and was more frequently observed in females than in males in the studied sample. Conclusions: COVID-19 has a major and long-term impact on oral health, with frequent, intense, and longstanding oral symptoms that may impair a patient’s quality of life

    Classification method based on surf and sift features for alzheimer diagnosis using diffusion tensor magnetic resonance imaging

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    Alzheimer’s disease (AD), the most common dementia in the elderly, poses a challenge for early diagnosis due to its progressive nature and hidden microstructural changes. While traditional T1 and T2 weighted MRI can assess macro-structural brain atrophy, diffusion tensor imaging (DTI) unveils these hidden microstructural alterations. This study explores the use of DTI data, specifically visual patterns in Fractional Anisotropy (FA), Mean Diffusivity (MD), and Radial Diffusivity (RD) maps, to characterize AD progression. This paper proposes a computer-aided diagnosis (CAD) framework employing SIFT and SURF descriptors and a bag-of-words approach to build AD-specific signatures for the hippocampus region, known to be heavily affected by the disease. These signatures are extracted from MD, FA, and RD maps and used to differentiate between AD, mild cognitive impairment (MCI), and normal controls (NC) in both multiclass and binary classification scenarios. Additionally, we investigate late fusion of visual map features for enhanced decision-making. The experiments were accomplished with a subset of participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset formed of AD patients (n=35), Early Mild Cognitive Impairment (EMCI) (n=6), Late Mild Cognitive Impairment (LMCI) (n=24) and cognitively healthy elderly Normal Controls (NC) (n=31). Promising preliminary results demonstrate the potential of the proposed system as a useful tool to capture the AD leanness with achieving accuracies of 87.5%, 87.4%, 89%, and 95.2% for MD, FA, RD, and fusion of features respectively for the multiclass system using SIFT features. Using FA features for binary discrimination achieves 97.5%. Moreover, the fusion based on the decision level model reached an accuracy of 93.3% AD/MCI, 95.7% AD/NC, and 93.3% MCI/NC (96.2±3.6 MCI vs. NC, 97.5±5 AD vs. NC). Furthermore, fusion of features led to a noteworthy precision boost of 96%. These findings suggest that our DTIbased CAD framework holds promise as a reliable and accurate tool for capturing AD progression, paving the way for earlier diagnosis and potentially improved patient outcomes

    Revealing the impact of tadalafil-loaded proniosomal gel against dexamethasone-delayed wound healing via modulating oxido-inflammatory response and TGF-β/Macrophage activation pathway in rabbit model

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    A serious challenge of the chronic administration of dexamethasone (DEX) is a delay in wound healing. Thus, this study aimed to investigate the potential of Tadalafil (TAD)-loaded proniosomal gel to accelerate the healing process of skin wounds in DEX-challenged rabbits. Skin wounds were induced in 48 rabbits of 4 groups (n = 12 per group) and skin wounds were treated by sterile saline (control), TAD-loaded proniosomal gel topically on skin wound, DEX-injected rabbits, and DEX+TAD-loaded proniosomal gel for 4 weeks. The optical photography, transmission electron microscopy, in vitro release profile, and stability studies revealed the successful preparation of the selected formula with good stability. DEX administration was associated with uncontrolled oxido-inflammatory reactions, suppression in immune response in skin wounds, and consequently failure in the healing process. TAD-loaded proniosomal gel-treated rabbits manifested a marked enhancement in the rate of wound closure than control and DEX groups (p \u3c 0.05). The TAD-loaded proniosomal gel successfully antagonized the impacts of DEX by dampening MDA production, and enhancing total antioxidant capacity, coupled with modulation of inflammatory-related genes, inducible nitric oxide synthase, tumor necrosis factor-alpha, interleukin-1β, and matrix metalloproteinase 9, during all healing stages (p \u3c 0.05). This was in combination with significant amplification of immune response-related genes, CD68 and CD163 (p \u3c 0.05). Moreover, the histopathological, Masson’s Trichrome-stain, and immune-histochemical studies indicated a successful tissue recovery with the formation of new blood vessels in groups treated with TAD-loaded proniosomal gel, as manifested by well-organized collagen fibers, upregulation of transforming growth factor β1, and vascular endothelial growth factor immune expression in skin tissues (p \u3c 0.05). Overall, the topical application of TAD-loaded proniosomal gel is useful in improving the delayed wound healing linked to DEX therapy via regulating the release of inflammatory/macrophage activation mediators and enhanced antioxidant capacity, angiogenesis, and vascularity

    The Affective Poetics of War in Emi Mahmoud’s Sister’s Entrance

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    The paper attempts to explore the affective representation of war in Sudanese American poet Emtithal (Emi) Mahmoud’s collection Sister’s Entrance (2018). In her debut collection, Mahmuod offers a poignant exploration of war\u27s emotional and psychological toll through the lens of a woman immigrant from Darfur. The poetry in this collection is not solely about the war in Darfur or Mahmoud’s experience during that time. It delves into the war, but it also highlights the repercussions of the war for her and her family. Such repercussions as displacement, becoming a refugee and eventually living with a hyphenated identity in a world that pays very little attention to her people’s suffering. The paper utilizes the theoretical framework of the “affective turn” which highlights the importance of viewing the body/individual’s existence in the world through its affective nature. Using affect theory to read Mahmoud’s poetry helps in illuminating aspects of the Sudanese war experience that relate not only to the poet’s experience as a Sudanese who lived through a civil war and became a refugee in exile, but also helps us understand how feelings of confusion, grief and hope are somewhat universal. Through the examination of Mahmoud’s poetry, the aim of the paper is to highlight the nuanced nature of the Sudanese war and offer a differentiated understanding of a war that is often underrepresented or misrepresented

    Green Building Information Modeling Framework for Sustainable Residential Development in Egypt

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    first_page Download PDF settings Order Article ReprintsOpen AccessArticle Green Building Information Modeling Framework for Sustainable Residential Development in Egypt by Mohamed Nabawy *, Ahmed Gouda Mohamed , Israa Awad and Ahmed Osama Daoud * Construction Engineering and Management Programme, Civil Engineering Department, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City, Cairo 11837, Egypt * Authors to whom correspondence should be addressed. Buildings 2025, 15(7), 1035; https://doi.org/10.3390/buildings15071035 Submission received: 20 January 2025 / Revised: 23 February 2025 / Accepted: 27 February 2025 / Published: 24 March 2025 (This article belongs to the Special Issue Building Information Modeling (BIM): Recent Application and Future Perspective) Downloadkeyboard_arrow_down Browse Figures Versions Notes Abstract Rapid urbanization and environmental challenges necessitate innovative construction solutions in Egypt. This study presents a 6D Green Building Information Modeling (BIM) framework designed to enhance sustainability, reduce costs, and optimize construction processes. Integrating energy consumption, carbon footprint, and lifecycle performance metrics, the framework addresses critical gaps in Egypt’s construction sector, including limited technical expertise, high costs, and regulatory challenges. A mixed-methods approach was employed, combining global case study analysis, 3D modeling using Autodesk Revit, energy simulations with Autodesk Insight, and project scheduling through Primavera P6. Expert interviews with industry professionals further refined and validated the framework, ensuring its practicality and adaptability to Egypt’s unique socio-economic context. Key findings highlight the framework’s ability to reduce project costs through accurate 3D models, improve scheduling efficiency with 4D and 5D simulations, and enhance sustainability with 6D analyses of energy, water, and photovoltaic systems. The framework not only supports Egypt Vision 2030’s sustainability goals but also provides a clear, step-by-step implementation process using widely adopted tools. This research contributes a comprehensive, scalable model for sustainable construction, offering practical solutions to industry stakeholders. Its adaptable nature makes it relevant for other developing countries facing similar challenges, positioning BIM as a transformative tool for achieving greener, more efficient construction practices

    CuO/rGO doped with silver nanoparticles for humidity sensing applications

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