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Transforming facility management with BIM, IoT, and Digital Twin: a data-driven approach to air quality monitoring
Tissue-friendly dentin treatments as a potential element in revascularization protocol (ex-vivo study)
Abstract
Background Endodontic treatment aims to eliminate pulp tissue, microorganisms, and toxins while creating an envi- ronment conducive to tissue revitalization and regeneration. Sodium hypochlorite, the gold-standard irrigant, is effec- tive but has significant cytotoxic effects, prompting the need for safer alternatives. This study investigates the cyto- toxicity, cell proliferation, adhesion to dentin, and osteogenic differentiation of cells exposed to Dual Rinse HEDP, curcumin, and sodium hypochlorite (2.5%) for 1, 5, and 15 min, focusing on their potential application in revitalization and regenerative endodontic protocols.
Methodology Samples were assigned to groups based on the irrigant used: control, HEDP, curcumin, or sodium hypochlorite (2.5%) for exposure durations of 1, 5, and 15 min. Cytotoxicity was assessed using the MTT assay, with optical density measured at the specified times. Cell proliferation was evaluated via the Trypan blue exclu- sion test, with viable cells counted using a hemocytometer. Data were presented as mean and standard deviation (SD) values and statistical significance was set at p \u3c 0.05 for all tests. Cell adherence to dentin discs was analyzed using scanning electron microscopy (SEM) after 5-min irrigant exposure. Osteogenic differentiation was assessed through alizarin red staining for calcium deposition and quantitative PCR analysis of BMP-2, TGF-β1, VEGF, and DSPP gene expression.
Results Cell cytotoxicity differed significantly across groups (p \u3c 0.05), with HEDP showing the best results at 1 and 5 min. After 15 min, Group II had the highest value, followed by Group I. HEDP also recorded the highest cell proliferation, followed by curcumin. HEDP exhibited substantial calcium deposition and significantly upregulated BMP-2, TGF-β1, VEGF, and DSPP gene expression, surpassing other materials. Curcumin moderately promoted calcified nodule formation. Osteogenic media also induced significant gene upregulation.
Conclusions Dual Rinse HEDP and curcumin are tissue-friendly. Dual rinse HEDP efficiently increases stem cell adher- ence to dentin discs and their osteogenic differentiation.
So, this irrigant has the potential to be used in regeneration protocols.
Keywords Dentine Treatments, Revascularization, Dual rinse HEDP, Curcumin, Cytotoxicity, Cell viability, SEM, Human Periodontal Stem Cell
Augmented Green Hydrogen Production at Binary Nickel/Cobalt Oxide Nanostructured Catalyst
Optimizing high-pressure sliding process parameters for grain refinement and enhanced mechanical properties using response surface methodology approach
Lightweight technology has emerged as a crucial focus within transportation machinery manufacturing, driving the pursuit for materials with exceptional strength-to-weight ratios. To address this need, ultra-fine grain (\u3c 500 nm) and nanostructured (\u3c 100 nm) materials are being developed using severe plastic deformation (SPD) techniques, particularly in confined flat sheets. This study focuses on the Multi Pass Incremental Feed High-Pressure Sliding (MPIF-HPS) technique, which offers significant potential for industries such as aerospace and automotive by enhancing the mechanical properties of materials like AA 7075 alloy. This work investigates the development and characterization of ultrafine-grained materials through SPD, focusing on the correlation between ultrafine grain structures and their distinct properties. Utilizing MPIF-HPS processes and design of experiment (DoE) methodologies, the study evaluates the evolution of fine-grained microstructures and the enhancement of boundary characteristics with increasing strain in AA 7075 alloy. The grain size was refined from 600 µm to 6 µm, indicating significant microstructural improvement. Concurrently, mechanical properties were notably enhanced, with hardness increasing from 102 to 165 HV, yield strength from 250 to 605 MPa, and ultimate tensile strength (UTS) from 400 to 650 MPa. The study systematically optimized processing parameters, including pressure, sliding distance, and number of passes, to determine the ideal conditions for grain refinement and mechanical performance. These findings underscore the critical role of strain-induced boundary characteristics in determining the material\u27s final properties, paving the way for tailored solutions to meet specific industrial requirements
AIoT-based smart traffic management system
This paper presents a novel AI-based smart traffic management system de-signed to optimize traffic flow and reduce congestion in urban environments. By analysing live footage from existing CCTV cameras, this approach eliminates the need for additional hardware, thereby minimizing both deployment costs and ongoing maintenance expenses. The AI model processes live video feeds to accurately count vehicles and assess traffic density, allowing for adaptive signal control that prioritizes directions with higher traffic volumes. This real-time adaptability ensures smoother traffic flow, reduces congestion, and minimizes waiting times for drivers. Additionally, the proposed system is simulated using PyGame to evaluate its performance under various traffic conditions. The simulation results demonstrate that the AI-based system out-performs traditional static traffic light systems by 34%, leading to significant improvements in traffic flow efficiency. The use of AI to optimize traffic signals can play a crucial role in addressing urban traffic challenges, offering a cost-effective, scalable, and efficient solution for modern cities. This innovative system represents a key advancement in the field of smart city infra-structure and intelligent transportation systems
Synergistic effects of lead borosilicate waste glass on the mechanical and radiation shielding properties of cement-bitumen composites
This study investigates the radiation shielding performance of lead borosilicate waste glass when incorporated as an additive into cement–bitumen composites. The utilization of lead borosilicate glass, a byproduct of industrial processes, offers a dual advantage: it enhances the gamma-ray attenuation capacity of the composite achieving a mass attenuation coefficient of 7.85 × 10⁻² cm²/g and simultaneously contributes to the sustainable management of radioactive waste by improving the compressive strength to 32.9 MPa. Cement–bitumen mixtures were prepared with varying concentrations of the waste glass and evaluated through both experimental measurements and theoretical modeling. The linear attenuation coefficients demonstrated a marked improvement in shielding efficiency with increasing lead content. Computational tools, including XCOM and Geant4, were employed to simulate photon interactions and validate the experimental findings. The simulation results were in strong agreement with experimental data, confirming the enhanced attenuation properties at higher glass concentrations. These findings suggest that lead borosilicate waste glass is a promising additive for improving the gamma radiation shielding properties of cement–bitumen matrices, with potential applications in nuclear waste immobilization and radiation protection. Furthermore, the approach promotes sustainable recycling of industrial waste, aligning with environmental conservation goals. Further research is recommended to optimize glass loading and assess the long-term durability and structural performance under diverse environmental conditions
Blending Heritage and Innovation: A Practical Study of How Gen Z Engages with Egyptian Arts and Crafts to Foster Sustainable and Culturally Significant Fashion
Egyptian culture features a rich history in arts, crafts, and various traditions, influenced by historical encounters and a range of geographical backgrounds. However, this cultural wealth is facing a serious challenge: surveys indicate that many of Generation Z in Egypt are unaware of its deep meanings and historical significance. This research seeks to address this issue by investigating how new designers can reinterpret cultural aspects for a modern audience, thus promoting both appreciation and preservation. Moreover, examining the creative processes of emerging fashion designers who develop clothing collections inspired by Egyptian culture from regions like Siwa, Sinai, Old Cairo, and Nubia aiming to strike a balance between the historical authenticity of symbolic motifs and regional garments alongside modern silhouettes, covering styles from ready-to-wear to streetwear and haute couture.
A qualitative research approach was utilized, focusing on the creative workflows of senior fashion students at the British University in Egypt. The study included an analysis of student projects to uncover design outcomes, dominant sources of inspiration, and how identity is expressed among Generation Z. This exploration offered valuable insights into the blending of traditional cultural elements with modern design concepts.
The research showcases successful strategies used by Gen Z students to curate fashion design collections, adapting to swift changes in consumer preferences, encouraging a more sustainable and culturally conscious fashion industry. Additionally, the assessment of student projects illustrates how designers’ personalities and identity expressions are vital in maintaining heritage both locally and globally.
The findings provide significant insights into fashion education, cultural organizations, and up-and-coming designers. By grasping how to effectively combine cultural heritage with contemporary design, there is potential to develop educational programs and initiatives that foster cultural awareness and promote the preservation of Egyptian heritage through fashion. This could lead to new opportunities for cultural exchange and economic advancement
Statistical Inference for the Marshall-Olkin Extended Modified Inverse Rayleigh Distribution Under Adaptive Type-II Progressive Censoring
The Marshall-Olkin extended modified inverse Rayleigh (MOEMIR) distribution, a new extension of the modified inverse Rayleigh (MIR) distribution, is introduced as a member of a proposed Marshall-Olkin extended general inverse exponential (MOEGIE) family. This extension offers enhanced flexibility for modeling lifetime data. Statistical properties of the MOEGIE family are presented, and hence those of the MOEMIR distribution. Parameter estimation for the MOEMIR distribution is discussed under an adaptive Type-II progressive censoring scheme involving discrete uniformly distributed random removals. The parameters of the MOEMIR distribution are estimated using both maximum likelihood and Bayesian methods. The Bayesian estimation is refined under symmetric squared error loss (SEL) and asymmetric linear exponential loss (LINEX) functions, using a Metropolis-Hastings (M-H) sampling method of the Markov chain Monte Carlo (MCMC) technique. A simulation study is performed to highlight the obtained theoretical results. Finally, the utility of the MOEMIR distribution is demonstrated using a real-world dataset involving the remission times of patients with bladder cancer