Search Results (84,326)

This study introduces a comprehensive framework combining building information modeling (BIM), project management body of knowledge (PMBOK), and machine learning (ML) to optimize energy efficiency and reduce environmental impacts in Riyadh’s construction sector. The suggested methodology utilizes BIM for dynamic energy simulations and design visualization, PMBOK for integrating sustainability into project-management processes, and ML for predictive modeling and real-time energy optimization. Implementing an integrated model that incorporates building-management strategies and machine learning for both commercial and residential structures can offer stakeholders a thorough solution for forecasting energy performance and environmental impact. This is particularly essential in arid climates owing to specific conditions and environmental limitations. Using a simulation-based methodology, the framework was evaluated based on two representative case studies: (i) a commercial complex and (ii) a residential building. The neural network (NN), reinforcement learning (RL), and decision tree (DT) were implemented to assess performance in energy prediction and optimization. Results demonstrated notable seasonal energy savings, particularly in spring (15% reduction for commercial buildings) and fall (13% reduction for residential buildings), driven by optimized heating, ventilation, and air conditioning (HVAC) systems, insulation strategies, and window configurations. ML models successfully predicted energy consumption and greenhouse gas (GHG) emissions, enabling targeted mitigation strategies. GHG emissions were reduced by up to 25% in commercial and 20% in residential settings. Among the models, NN achieved the highest predictive accuracy (R² = 0.95), while RL proved effective in adaptive operational control. This study highlights the synergistic potential of BIM, PMBOK, and ML in advancing green project management and sustainable construction. Full article

Nuclear factor erythroid 2-related factor 2 (NRF2) serves as a master transcriptional regulator of cellular antioxidant responses through orchestration of cytoprotective gene expression, establishing its significance as a therapeutic target in cerebral pathophysiology. Classical electrophilic NRF2 activators, despite potent activation potential, exhibit paradoxically reduced therapeutic efficacy relative to single antioxidants, attributable to concurrent oxidative stress generation, glutathione depletion, mitochondrial impairment, and systemic toxicity. Although emerging non-electrophilic pharmacological activators offer therapeutic potential, their utility remains limited by bioavailability and suboptimal potency, underscoring the imperative for innovative therapeutic strategies to harness this cytoprotective pathway. Non-pharmacological interventions, including neuromodulation, physical exercise, and lifestyle modifications, activate NRF2 through non-canonical, non-electrophilic pathways involving protein–protein interaction inhibition, KEAP1 degradation, post-translational and transcriptional modulation, and protein stabilization, though mechanistic characterization remains incomplete. Such interventions utilize multi-mechanistic approaches that synergistically integrate multiple non-electrophilic NRF2 pathways or judiciously combine electrophilic and non-electrophilic mechanisms while mitigating electrophile-induced toxicity. This strategy confers neuroprotective effects without the contraindications characteristic of classical electrophilic activators. This review comprehensively examines the mechanistic underpinnings of non-pharmacological NRF2 modulation, highlighting non-electrophilic activation pathways that bypass the limitations inherent to electrophilic activators. The evidence presented herein positions non-pharmacological interventions as viable therapeutic approaches for achieving non-electrophilic NRF2 activation in the treatment of cerebrovascular and neurodegenerative pathologies. Full article

Background: Nephrolepis exaltata (sword fern) possesses a considerable amount of phytochemicals and different biological activities. The current study investigates the anti-biofilm potential of greenly synthesized bimetallic nanoparticles of Nephrolepis exaltata leaf methanol extract (NEME-MnO₂-MgO BNPs). Methods: The NEME was subjected to UPLC/MS analysis, followed by characterization of its NPs by size, zeta potential, FTIR, entrapment efficiency, and release. Then, antioxidant, antimicrobial and antibiofilm assays were employed, followed by in silico studies. Results: The UPLC/MS analysis of NEME led to the tentative identification of 27 metabolites, mostly phenolics. The MnO₂-MgO BNPs presented a uniform size and distribution and exhibited IC₅₀ values of 350 and 215.6 μg/mL, in the DPPH and ABTS assays, respectively. Moreover, the NPs exhibited antimicrobial and anti-biofilm efficacies against Pseudomonas aeruginosa, Klebsiella pneumonia (ATCC-9633), Staphylococcus aureus (ATCC-6538), Escherichia coli, Bacillus cereus, and C. albicans, with MIC values of 250–500 μg/mL. The MnO₂-MgO BNPs inhibited Candida albicans biofilms with a % inhibition of 66.83 ± 2.45% at 1/2 MIC. The network pharmacology highlighted epigallocatechin and hyperoside to be the major compounds responsible for the anti-biofilm potential. The ASKCOS facilitated the prediction of the redox transformations that occurred in the green synthesis, while the docking analysis revealed enhanced binding affinities of the oxidized forms of both compounds towards the outer membrane porin OprD of P. aeruginosa, with binding scores of −4.6547 and −5.7701 kcal/mol., respectively. Conclusions: The greenly synthesized Nephrolepis exaltata bimetallic nanoparticles may provide a promising, eco-friendly, and sustainable source for antimicrobial agents of natural origin with potential biofilm inhibition. Full article

Background/Objectives: Adapalene is a synthetic retinoid used as a treatment for acne vulgaris. In this study, we attempted to evaluate the dermal pharmacokinetics of adapalene utilizing experimental and in silico tools. Methods: We utilized three over the counter (OTC) adapalene gels to evaluate local dermal pharmacokinetics. A data-driven, robust, mechanistic dermal physiologically based pharmacokinetic (PBPK) model was developed by integrating the physicochemical properties of adapalene, the formulation attributes of the gels, and the biophysical aspects of dermal absorption. The dermal PBPK model was validated against experimental data using in vitro release studies and in vitro permeation studies with human cadaver skin. A clinical study was performed to evaluate the effects of adapalene from the three gel formulations. The impact of adapalene delivery from three gels on the stratum corneum (SC) thickness, pilosebaceous unit area, keratinocyte number, and epidermal thickness was captured using a non-invasive technique, line-field confocal optical coherence tomography (LC–OCT). These responses were evaluated using an Emax model. Results: The dermal PBPK model has successfully predicted adapalene penetration profiles across different gel formulations. The model accuracy, in predicting drug release and permeation characteristics, was confirmed using the experimental data. Clinical evaluation revealed formulation-dependent differences in adapalene’s effects on measured skin parameters, with distinct pharmacodynamic profiles observed for each gel formulation. Conclusions: The overall study gave us a detailed insight into potential effects of formulation on the dermal pharmacokinetics and pharmacodynamics of adapalene using three marketed gels. Full article

Satellite monitoring of agricultural crops plays a crucial role in ensuring food security and in the sustainable management of agricultural resources, particularly in regions dominated by rainfed farming, such as the Turkestan region of Kazakhstan. Many satellite monitoring tasks rely on remote identification of different types of cultivated crops. In developing the proposed method, we accounted for the temporal characteristics of crop growth and development in various climatic zones of rainfed agriculture, analyzed the dynamics of the Normalized Difference Vegetation Index (NDVI) together with ground-based data, and identified effective time periods and patterns for successful crop recognition. This study aims to develop and comparatively assess two methods for the automatic identification of cultivated crops in rainfed zones using Sentinel-2 satellite data for the years 2018 and 2022. The first method is based on detailed classification of pre-digitized field boundaries, providing high accuracy in satellite-based mapping. The second method represents a fully automated approach applied to large rainfed areas, emphasizing operational efficiency and scalability. The results obtained from both methods were validated against official national statistics, ground-based field surveys, and farm-level data. The findings indicate that the field-boundary-based method delivers significantly higher accuracy (average accuracy of 91.1%). While the automated rainfed-zone approach demonstrates lower accuracy (78%), it still produces acceptable results for large-scale monitoring, confirming its suitability for rapid assessment of sown areas. This research highlights the trade-off between the accuracy achieved through detailed field boundary digitization and the efficiency provided by an automated, scalable approach, offering valuable tools for agricultural production management. Full article

Refugee mothers are at heightened risk of developing negative family dynamics due to traumatic experiences and unstable living conditions, often impacting their children in lasting ways. This partially mixed, explanatory mixed-methods pilot study examines the potential of Drama Therapy as a psychosocial intervention to reduce harmful parenting behaviors and strengthen parent–child relationships. The study engaged 20 refugee mothers who participated in a three-session intervention based on Emunah’s five-phase model. Data collection included pre-intervention demographic information, two standardized psychological scales—The Child–Parent Relationship Scale and the Parent Anger Scale—and post-intervention focus group discussions. The findings indicate that the Drama Therapy Intervention (DTI) helped reduce parental anger and improve emotional regulation, leading to more positive interactions with children and decreased conflict within the family. Focus group insights revealed that the mothers’ ongoing and past traumas significantly shaped their emotional responses and parenting styles. This pilot study highlights the importance of addressing maternal mental health in post-displacement contexts. Although one cannot draw causal inferences of efficacy in the absence of a control group, the findings provide preliminary evidence that Drama Therapy can be an effective tool for reducing parental maltreatment and improving family relationships among refugee populations. Full article

Background: Psychological distress is one of the leading causes of ill health in the United Arab Emirates (UAE). Nursing students often report higher levels of stress than the general population. Identifying the determinants of mental distress is essential to raise awareness and enable universities to implement preventive interventions. Aim: To examine the relationship between physical activity and psychological distress among nursing students at RAK Medical and Health Sciences University. Methods: A descriptive cross-sectional design was employed. A total of 187 students completed a three-part survey: (I) sociodemographic characteristics, (II) the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and (III) the Depression Anxiety Stress Scale-21 (DASS-21). Results: Among participants, 28.3% were inactive, 36.9% engaged in moderate activity, and 34.8% engaged in vigorous activity. Significant associations were observed between physical activity and gender (χ² = 9.64, p < 0.001), nationality (χ² = 8.09, p = 0.01), anxiety (FET = 99.34, p < 0.001), and stress levels (χ² = 12.41, p = 0.05). Regression analysis showed that gender, nationality, anxiety, and stress significantly predicted physical activity levels (F(3,183) = 62.47, p < 0.001), explaining 51% of the variance (R² = 0.506, adjusted R² = 0.498). Conclusion: Physical activity among nursing students was significantly associated with gender, nationality, anxiety, and stress. Programs that promote physical activity may help reduce psychological distress and improve students’ health and well-being. Failure to address high levels of stress and anxiety may increase the risk of burnout in future professional practice. Full article

In alignment with Saudi Arabia’s Vision 2030, the Kingdom aims to achieve one of its main environmental targets: reaching net zero emissions by 2060. This ambitious goal can be realized through Carbon Dioxide Removal (CDR) technologies, particularly Direct Air Capture (DAC), which is among the most promising solutions. DAC offers high potential for extracting Carbon Dioxide (CO₂) directly from the atmosphere and is considered sustainable, especially when powered by renewable energy rather than fossil fuels. However, the technology remains highly cost-intensive. This paper presents a techno-economic assessment of renewable energy configurations to determine the most cost-effective solutions for DAC deployment. The evaluation focuses on Net Present Cost (NPC) and Levelized Cost of Energy (LCOE) across several regions in Saudi Arabia, using the Hybrid Optimization of Multiple Energy Resources (HOMER) Pro software (version 3.18.4). Full article

Chad, a Sub-Saharan country, has some of the worst child mortality and health indicators. A lack of recent and accurate health records in Béré, rural Chad, due to decades of strife compromises the development of relevant health interventions by Project 21, a community health program. This study investigates child mortality, weight gain ability, and related factors in 0–2-year-olds through a cross-sectional study completed by trained community health workers using a survey questionnaire. Most household heads are Nangtchéré Christian males with secondary-level education. Male infants have the highest mortality rate. Infant mortality is predicted by non-exclusive breastfeeding started within 6 days after birth and by the number of household children who experienced and received treatment for meningitis. Toddlers’ mortality is predicted by the number of household adults who experienced and received treatment for meningitis and the number of household adults and children who were vaccinated. The odds of children having no difficulty gaining weight vary with their gender, age, the food or liquid given to them, the source of breastfeeding advice, handwashing and vaccination practices, and experiences with infectious diseases and their treatments. These findings provide targets for future health interventions towards achieving SDG3 in Sub-Saharan Africa. Full article

Zinc-aluminum-magnesium (ZAM) steel, with its superior corrosion resistance and mechanical properties, is progressively supplanting traditional galvanized steel and zinc-aluminum steel. In this study, a solution containing sodium carbonate-only was employed as the treatment medium to form a vertically grown layered double hydroxide (LDH) pretreatment layer on the surface of ZAM steel via a simple immersion process at 50 °C. The temperature and salt solution not only provide the conditions for the dissolution of metal ions but also facilitate the formation of LDH products. The resulting LDH pretreatment layer exhibits excellent adhesion to the metal surface and enhances the adhesion of the top epoxy coatings. Furthermore, the “LDH/corrosion inhibitor/epoxy” coating system ensures ZAM steel remains rust-free in a 3.5 wt.% NaCl solution for a minimum of 120 days. This innovative approach offers a promising avenue for extending the durability and service life of ZAM steel in corrosive environments. Full article

Kuwait has reported a problematic increase in the prevalence of Antimicrobial Resistance (AMR). However, the absence of studies that analyze AMR from combined human, agricultural (animal), and environmental domains limits our ability to assess the extent of the problem in Kuwait. Therefore, this systematic review provides a comprehensive insight into the AMR status in Kuwait regarding humans, agriculture (animals), and the environment from the perspective of the One Health approach. A systematic search was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify the relevant literature on AMR in Kuwait. Multiple online electronic databases, including the Cochrane Library, Google Scholar, Web of Science, PubMed, BioMed Central (BMC), and Scopus, were searched to perform a narrative synthesis and meta-analysis. Twenty-eight studies published between 2009 and 2024 were included in this study. Domain-wise distribution varied, with 11 studies related to clinical settings, 11 to the environment, 4 to agricultural (animal), and 2 to both clinical and community settings. The narrative synthesis indicated a high occurrence of AMR bacteria in human, agriculture (animal), and environmental domains. In human domains, the dominant AMR isolates belonged to four Gram-negative species: E. coli, K. pneumoniae, P. aeruginosa, and Acinetobacter baumannii. In agriculture (animals), Salmonella isolates from poultry display high resistance to cefotaxime, ampicillin, and amoxicillin. Camel milk analyses revealed that 80% of bacterial isolates are resistant to antibiotics such as penicillin, tetracyclines, and carbapenems. An environmental analysis of sewage, seawater, sediment, and aerosol samples documented widespread antibiotic resistance genes (ARGs) with resistance mechanisms such as extended-spectrum beta-lactamase, carbapenemases, and colistin. The cross-domain analysis identified the overlapping of ARGs. Regarding the One Health approach, none of the studies used this approach to interlink these sectors. Meanwhile, the meta-analysis indicated a high resistance rate in humans (34.05%, 95% CI (22.81 to 46.27, p < 0.0001, I² = 98.94%)), agriculture (animals) (67.42%, 95% CI (30.30 to 94.93, p < 0.0001, I² = 97.40%)), and environment (69.86%, 95% CI (48.80 to 87.26, p < 0.0001, I² = 98.78%)). The reported spread of AMR and the overlap of resistance genes among isolates across the domains demonstrate the interconnected nature of AMR in Kuwait. These findings underscore the need to adopt the One Health approach to strengthen surveillance, implement control measures, and enhance public education strategies to address the complexity of AMR challenges in Kuwait. Full article

In this study, 10% nitric acid was employed to remove the aluminum coating on the cobalt-based superalloy K6509, with a focus on elucidating the corrosion mechanism and evaluating the effect of ultrasonic on the removal process. The results shows that ultrasonic treatment (40 kHz) significantly improves coating removal efficiency, increasing the maximum corrosion rate by 46.49% from 2.5413 × 10⁻⁷ g·s⁻¹·mm⁻² to 4.7488 × 10⁻⁷ g·s⁻¹·mm⁻² and reducing removal time from 10 min to 6 min. This enhancement is attributed to cavitation effect of ultrasonic bubbles and the shockwave-accelerated ion diffusion, which together facilitate more efficient coating degradation and results in a smoother surface. In terms of corrosion behavior, the difference in phase composition between the outer layer and the interdiffusion zone (IDZ) plays a decisive role. The outer layer is primarily composed of β-(Co,Ni)Al phase, which is thermodynamically less stable in acidic environments and thus readily dissolves in 10% HNO₃. In contrast, the IDZ mainly consists of Cr₂₃C₆, which exhibit high chemical stability and a strong tendency to passivate. These characteristics render the IDZ highly resistant to nitric acid attack, thereby forming a protective barrier that limits acid penetration and helps maintain the integrity of the substrate. Full article

This study explores the effectiveness of 3D Digital Image Correlation (DIC) for measuring displacement and strain of a propeller undergoing angular motion. Traditional methods, such as strain gauges, face limitations including physical interference, technical difficulties in sensor connections, and restricted measurement points, leading to inaccuracies in capturing true conditions. To overcome these challenges, this research utilizes non-contact 3D DIC technology, enabling measurement of surface displacements and deformations without interfering with the tested component. Experiments were conducted using the model aircraft propellers mounted on a custom-built test stand for partial angular motion. The 1 Mpx high-speed cameras captured strain and displacement data across the propeller blades during motion. The DIC strain measurements were then compared to strain gauge data to evaluate their accuracy and reliability. The results demonstrate that 3D DIC enables precise displacement measurements, while strain measurements are subject to certain limitations. Displacement measurements were achieved with a noise level of ±10 μm, while strain measurement noise ranged from 26 to 174 µm/m depending on direction. Strain gauge measurements were also performed for verification of the DIC measurements and calibration of the filtering procedure. Two types of non-metallic materials were used in the study: Nylon LGF60 PA6 for the propeller and 3D-printed PC ABS for the cantilever beam used in strain measurement validation. This study underscores the potential of DIC for monitoring rotating components, with a particular focus on measuring strains that are often overlooked in publications addressing similar topics. Additionally, it focuses on comparing DIC strain measurements with strain gauge data on rotating components, addressing a critical gap in existing literature, as strain measurement in rotating structures remains underexplored in current research. Full article

Choosing the most sustainable and ecologically stable soil tillage techniques requires dependence on long-term field trials, which are essential for successful interventions and evidence-based decision-making. This research evaluated several factors, including soil biological activity (CO₂ emission), soil chemical properties (pH (KCl), soil organic matter (SOM)), plant growth physiological indicators (Leaf Area Index (LAI), Soil and Plant Analysis Development (SPAD)), crop yield, and grain quality (Zeleny index, protein %, oil %, and gluten % content), under six soil cultivation methods that represent varying degrees of soil disturbance in a long-term (23 years) tillage experiment. Conventional tillage (ploughing (P)) and conservational tillage techniques (loosening (L), deep cultivation (DC), shallow cultivation (SC), disking (D), and no-till (NT)) were examined for three years (2022, 2023, and 2024) in a winter barley–soybean–winter wheat cropping system. Results indicate that tillage intensity has a differential influence on soil biological parameters, with minor variations in SPAD values across treatments. The findings show significant variations in CO₂ emissions, LAI values, and grain quality in certain years, likely due to the influence of P and L tillage treatments. The novelty of this study lies in determining that, although the short-term effects of soil tillage on crop physiological parameters and grain yield may be minimal under fluctuating climatic conditions, long-term tillage practices significantly influence existing disparities, underscoring the necessity for site-specific and climate-resilient tillage strategies in sustainable crop production. Full article

Aim: This study evaluated the effect of manual and electronic toothbrushes on the color stability (∆E*) and surface roughness (Ra) of four CAD/CAM ceramics after their immersion in coffee for 2 and 4 weeks. Methodology: A total of 160 specimens (Vitablocs Mark II, Ceramill Zolid zirconia, Vita Triluxe Forte, and IPS e.max CAD) were divided into four brushing subgroups (manual, sonic, oscillating–rotating, and ionic). The samples underwent daily coffee staining, thermocycling (5–55 °C), and twice-daily brushing. Color parameters (L, a, and b) were assessed and measured utilizing a spectrophotometer (Vita Easyshade) at baseline, 2 weeks, and 4 weeks. ∆E* was calculated using the CIEDE2000 formula, and surface roughness (Ra, µm) was assessed via contact profilometry at the study’s conclusion. Data were analyzed using Kruskal–Wallis and Mann–Whitney tests (α = 0.05). Results: Among the tested samples, IPS e.max ceramic with manual toothbrushing exhibited the highest ΔE* values after 2 and 4 weeks (∆E* = 4.424 and ∆E* = 4.802) of immersion. Moreover, Ceramill Zolid zirconia demonstrated the highest ΔE* values with ionic brushing (∆E* = 4.883 at 2 weeks; ΔE* = 4.760 at 4 weeks). Significant differences were observed among ceramics and cleaning methods, with manual/ionic brushing causing the greatest changes (p < 0.05). IPS e.max had the highest Ra with manual brushing (0.745–0.789 µm), whereas Ceramill Zolid zirconia with ionic brushing showed the highest Ra values among the electric methods (0.745–0.757 µm). Conclusions: Manual brushing induced clinically unacceptable color changes in IPS e.max CAD, whereas ionic brushing adversely affected Ceramill Zolid zirconia. All brushing methods increased surface roughness beyond acceptable limits. Full article