Search Results (598)

Metabolic dysfunction-associated steatohepatitis (MASH) and atherosclerosis are cardiometabolic twin disorders with shared underlying pathophysiological mechanisms such as insulin resistance and chronic inflammation. This review explores the salient role of carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) in linking hepatic dysfunction to cardiovascular disease. Findings in mice with genetic modulation of Ceacam1 gene established a critical role for CEACAM1 protein in regulating insulin and lipid metabolism and endothelial integrity and modulating immune response. Loss of CEACAM1 in hepatocytes impairs insulin clearance, causing chronic hyperinsulinemia, a process that ultimately leads to insulin resistance and hepatic and extra-hepatic fat accumulation, which in turn causes inflammatory infiltration. This prompts a paradigm shift that positions impaired hepatic CEACAM1 function as a mechanistic underpinning of the link between insulin resistance, MASH, and atherosclerosis. Full article

This paper presents a structured and experimentally validated approach to the parameter identification, modeling, and real-time speed control of a brushless DC (BLDC) motor. Electrical parameters, including resistance and inductance, were measured through DC and AC testing under controlled conditions, respectively, while mechanical and electromagnetic parameters such as the back electromotive force (EMF) constant and rotor inertia were determined experimentally using an AVL dynamometer. The back EMF was obtained by operating the motor as a generator under varying speeds, and inertia was identified using a deceleration method based on the relationship between angular acceleration and torque. The identified parameters were used to construct a transfer function model of the motor, which was implemented in MATLAB/Simulink R2024b and validated against real-time experimental data using sinusoidal and exponential input signals. The comparison between simulated and measured speed responses showed strong agreement, confirming the accuracy of the model. A proportional–integral (PI) controller was developed and implemented for speed regulation, using a low-cost National Instruments (NI) USB-6009 data acquisition (DAQ) and a Kelly controller. A first-order low-pass filter was integrated into the control loop to suppress high-frequency disturbances and improve transient performance. Experimental tests using a stepwise reference speed profile demonstrated accurate tracking, minimal overshoot, and robust operation. Although the modeling and control techniques applied are well known, the novelty of this work lies in its integration of experimental parameter identification, real-time validation, and practical hardware implementation within a unified and replicable framework. This approach provides a solid foundation for further studies involving more advanced or adaptive control strategies for BLDC motors. Full article

In response to the increasing demand for environmentally friendly products and the parallel rise of deceptive green marketing practices, this study examines the impact of greenwashing awareness and green perceived benefits on consumers’ propensity to purchase green products, with a focus on the mediating role of green consumer confusion. Drawing upon data collected from 300 consumers in Greece through an online questionnaire, this study employed validated measurement scales and used multiple regression analyses to test its hypotheses. The findings reveal that both greenwashing awareness and green perceived benefits positively influence green purchase propensity. Additionally, green consumer confusion mediates the relationship between greenwashing awareness and green purchase propensity, indicating that the awareness of greenwashing reduces confusion and enhances consumers’ likelihood to choose genuinely green products. This study contributes to the literature by offering an integrated model that connects greenwashing awareness, green consumer confusion, and green perceived benefits in shaping green purchase propensity. Finally, the findings offer valuable insights for organizations to design clearer, more trustworthy green marketing strategies that minimize consumer confusion and foster informed green purchasing decisions. Full article

This research evaluates the rheological and mechanical properties of polymer- and nanomaterials-modified bitumen by incorporating nanosilica (NSA), nanoclay (NCY), and Acrylonitrile Styrene Acrylate (ASA) at 5% by weight of the bitumen. The samples were prepared at 165 °C for one hour to obtain homogeneous blends. All samples were subjected to short- and long-term aging to simulate the effects of different operating conditions. The research conducted a series of tests, including consistency, frequency sweep, and multiple creep stress and recovery (MSCR) using the dynamic shear rheometer (DSR) and bending beam rheometer (BBR). The results showed that all modified bitumen outperformed the neat bitumen. The frequency sweep showed a higher complex modulus (G*) and lower phase angle (δ), indicating enhanced viscoelastic properties and, thus, higher resistance to permanent deformation. The BBR test revealed that the bitumen modified with NCY5% has a creep stiffness of 47.13 MPa, a 51.5% improvement compared to the neat bitumen, while the NSA5% has the highest m-value, a 28.5% enhancement compared with the neat bitumen. The MSCR showed that the modified blends have better recovery properties and, therefore, better resistance to permanent deformation under repeated loadings. The aging index demonstrated that the modified bitumen is less vulnerable to aging and maintains their good flexibility and resistance to permanent deformations. Finally, these results showed that adding 5% polymer and nanomaterials improved the bitumen’s’ performance before and after aging by reducing permanent deformation and enhancing crack resistance at low temperatures, thus extending the pavement service life and making them an effective alternative for improving pavement performance in various climatic conditions and under high traffic loads. Full article

Background/Objectives: Although the Robin Hood Index (RHI) is increasingly used to quantify geographic health inequality and guide resource redistribution, empirical evidence on whether higher physician density reduces RHI-measured inequality remains limited. This study systematically reviews and meta-analyzes RHI-based research to assess the association between physician distribution and health inequalities. Methods: We conducted a systematic review and meta-analysis of studies using the RHI to evaluate health inequalities, without restrictions on country or publication date. Following PRISMA 2020 guidelines and registered in PROSPERO (CRD42024496486), we searched PubMed, Scopus, and OpenGrey literature, extracted data on physician density and RHI outcomes, and conducted a meta-analysis. Odds ratios (ORs), ln(OR), and 95% confidence intervals (CIs) were calculated, and risk of bias was assessed using the Robvis tool. Results: Seventeen studies covering 720 regions and 1.07 billion individuals were included. Three clusters emerged: physician redistribution (10 studies), poverty–mortality associations (six studies), and systematic reviews (one study). Physician redistribution was strongly associated with increased inequality and policy attention (r = 0.73; p = 0.0038). Meta-analysis of eight redistribution studies yielded a pooled OR of 1.24 (95% CI: 0.54–2.86), consistent in sensitivity analysis (OR = 1.26; 95% CI: 0.56–2.89). Poverty–mortality studies also showed a correlation with the number of variables considered (r = 0.59; p = 0.022). Conclusions: A greater physician supply is associated with increased health inequalities, with statistical support but limited certainty. Methodological heterogeneity in RHI-based studies constrains comparability. Standardized methodologies and broader analytic models are needed to inform research and guide health policy. Full article

Photovoltaic (PV) systems are key renewable energy sources due to their ease of implementation, scalability, and global solar availability. Enhancing their lifespan and performance is vital for wider adoption. Identifying degradation root causes is essential for improving PV design and maintenance, thus extending lifespan. This paper proposes a hybrid fault diagnosis method combining a bond graph-based PV cell model with empirical degradation models to simulate faults, and a deep learning approach for root-cause detection. The experimentally validated model simulates degradation effects on measurable variables (voltage, current, ambient, and cell temperatures). The resulting dataset trains an Optimized Feed-Forward Neural Network (OFFNN), achieving 75.43% accuracy in multi-class classification, which effectively identifies degradation processes. Full article

Regular physical activity (PA) is crucial for health, yet many individuals face barriers to engage in an active lifestyle. This study aimed to identify and analyze the barriers preventing university staff from participating in PA. A cross-sectional quantitative approach was utilized, distributing surveys to a diverse sample of 238 university staff aged 19 to 77 years, with an average age of 40. The survey was designed to identify the barriers that individuals face in adhering to physical PA and collected data on various internal and external factors influencing PA participation. Younger participants reported significantly higher scores for lack of energy and motivation compared to older age groups. Additionally, female participants experienced greater internal and external barriers than their male counterparts. Furthermore, university employees experienced significantly higher internal barriers, namely a lack of energy and lack of motivation. The primary barrier to PA participation among university staff was a lack of time. This study highlights the need for supportive environments that address these obstacles to promote PA participation. The findings offer valuable insights for university administrations and policymakers, emphasizing the importance of targeted interventions and supportive policies to enhance the health and activity levels of university staff. Full article

Aspartame, a widely used artificial sweetener, has been at the center of ongoing debates concerning its safety, particularly its potential role in cancer development. This review provides an overview and analysis of the current research exploring the carcinogenic effects of aspartame. It examines findings from in vitro studies, in vivo experiments, and epidemiological investigations to offer a comprehensive perspective on the controversy. The results from these studies remain inconsistent—some suggest a possible association between high aspartame intake and increased cancer risk, while others fail to establish a conclusive link. Additionally, this review explores potential mechanisms by which aspartame could exert carcinogenic effects, focusing on its metabolic byproducts and their influence on cellular and molecular processes. Despite these investigations, the question of aspartame’s safety remains unresolved. Continued research is essential to clarify its role in cancer risk and to inform evidence-based dietary guidelines. Full article

Geothermal heat pump systems (GHPSs) offer a sustainable and energy-efficient solution for heating and cooling buildings. Ground heat exchanger (GHE) design and configuration significantly impact on the overall performance and installation expenses of geothermal heat pump systems. This paper presents a comprehensive analysis of GHPSs, focusing on their advantages, disadvantages, key components, types, and particularly the various closed-loop GHE configurations. Detailed comparisons highlight how different designs affect thermal performance and installation costs. The findings reveal that helical GHEs offer superior thermal efficiency with reduced drilling requirements and cost savings, while coaxial GHEs, especially those using steel tubes, enhance heat transfer and enable shorter boreholes. Cost-effective options like W-type GHEs provide performance comparable to more complex systems. Additionally, triple U-tube and spiral configurations balance high efficiency with economic feasibility. The single and double U-tube remain the most common borehole geometry, though coaxial designs present distinct advantages in targeted scenarios. These insights support the optimization of vertical GHEs, advancing system performance, cost-effectiveness, and long-term sustainability in GHPS applications. Full article

The rise of hybrid electric vehicles (HEVs) marks a shift away from traditional engines driven by environmental and economic concerns. With the rapid growth of HEVs worldwide, their reliability becomes of utmost concern; thus, guaranteeing the proper operation of HEVs is a crucial quest. Condition-based monitoring (CBM), which intends to observe different kinds of parameters in the system to detect defects and reduce any unwanted breakdowns and equipment failure, plays an efficient role in enhancing HEVs’ reliability and ensuring their healthy operation. The permanent magnet machine (PMM) is the most used electric machine in the electric propulsion system of HEVs, as well as the most expensive. Hence, the condition monitoring of this machine is of great importance. The magnet crack is one of the most severe faults that may arise in this machine. Artificial intelligence (AI) is showing high capability in the field of CBM, fault detection, and fault identification and prevention. Hence, the aim of this paper is to present two data-based fault detection approaches, which are the support vector machine (SVM) and the Hidden Markov Model (HMM). Their capability to detect primitive faults like tiny cracks in the machine’s magnet will be shown. Applying and evaluating various CBM methods is essential to identifying the most effective approach to maximizing reliability, minimizing downtime, and optimizing maintenance strategies. A strategy to specify the remaining useful life (RUL) of the defected element is proposed. Full article

Skin cancer, including melanoma and non-melanoma cancers (basal and squamous cell carcinomas), is the most common type of cancer. UV radiation, family history, and genetic predisposition are the main risk factors. Although surgical excision is the standard treatment, essential oils are attracting growing interest for their anti-cancer effects. This study tested the effects of Juniperus excelsa M. Bieb. (Cupressaceae), Lavandula vera DC. (Lamiaceae), and Salvia fruticosa (Mill). (Lamiaceae) essential oils extracted from Middle Eastern medicinal plants on HaCaT (normal), A5 (benign), and II4 (low-grade malignant) keratinocytes. Essential oils were extracted from Juniperus excelsa, Lavandula vera, and Salvia libanotica using steam distillation and then were chemically analyzed. The oils were sterilized, dissolved in DMSO, and prepared at concentrations of 0.75, 0.5, and 0.25 mg/mL. Human keratinocyte (HaCaT), benign (A5), and malignant (II4) cell lines were cultured in DMEM and treated with the essential oils for 24 or 48 h. Cell viability was assessed using the Trypan Blue Exclusion Test, while cell proliferation was evaluated using the MTT assay. Statistical analysis was performed using ANOVA with appropriate post hoc tests, considering p < 0.05 as significant. The results show that J. excelsa is cytotoxic but lacks selectivity, limiting its efficacy. In contrast, L. vera and S. fruticosa preferentially target malignant cells, particularly at low concentrations, while sparing normal cells. These oils have dose-dependent anticancer effects, with L. vera efficacy increasing as the concentration increases. In conclusion, L. vera and S. fruticosa are promising candidates for the treatment of skin cancer, although further in vivo studies are required. Full article

Scorpion envenomation is a public health issue in tropical and subtropical regions. Currently, there is limited data on the biological effects of Hottentotta judaicus scorpion venom (HjSV) in mammals. This study aims to analyze the effect of HjSV on lipopolysaccharide (LPS)-induced hyperalgesia in mice and its potential modulation of the immunological inflammatory response. Hyperalgesia is characterized by an increased response to pain, accompanied by heightened sensitivity that ranges from mild discomfort to intense pain. A series of tests were conducted, including heat resistance testing in BALB/c mice injected subcutaneously with LPS to induce hyperalgesia and intraperitoneally with HjSV. The hot plate test, used to assess pain endurance in mice, showed that LPS-injected mice, particularly females, exhibited heightened pain sensitivity. This suggests possible sex-based differences in pain perception. When HjSV was administered alone, a reduction in pain sensitivity was observed in both sexes. Additionally, ELISA tests were performed to assess changes in the secretion of inflammatory cytokines IL-4, IL-10, IL-6, IFN-γ, and TNF-α. A consistent increase in both pro- and anti-inflammatory cytokines was observed at early time points in females injected with HjSV alone. Moreover, the hyperalgesia induced by LPS was significantly reduced when HjSV was co-administered, indicating an anti-inflammatory effect at early stages. These findings suggest that HjSV has a significant immunomodulatory effect, potentially exerting anti-inflammatory action during acute inflammation. This effect appears to be time-dependent, diminishing as the immune response transitions toward its adaptive phase. Full article

The serviceability limit state (SLS) is a crucial aspect of structural design, ensuring that reinforced concrete structures perform satisfactorily under everyday loading conditions without excessive deflections, vibrations, or cracking that could compromise their functionality or aesthetics. This study investigates the bond-slip relationship in flexural reinforced concrete members. The focus is on the influence of concrete fracture properties on the stress and strain distribution in the cracked zone. A 1D Finite Element Method (FEM) model was developed to better predict the distribution of stress and slip along the length of the reinforcement as well as the deflection. The proposed method uses material models and their interactions to provide a reliable analysis of the nonlinear behavior of RC beams, including crack width and crack spacing. A database built with numerous experimental results available in the bibliographic references allowed for the validation of the model. The results of some phenomenological models were discussed. A comprehensive analysis of the Eurocode 2 (EC2) method for calculating the deflection and cracking control of RC members was also performed. The results indicate a clear enhancement in the precision of deflection prediction in comparison to the perfect bond assumptions outlined in Eurocode 2. Additionally, the research successfully quantifies a 4–17% increase in deflection attributable to bond-slip effects. Full article

The toxicity of metals such as lead (Pb) and cadmium (Cd) makes heavy metal contamination in food products a major health concern. The aim of this study is to measure the levels of Pb and Cd in yogurt samples that were collected from 11 distinct Lebanese locations and determine their compliance with the legal limits set by the European Commission (0.02 mg/kg for Pb and 0.005 mg/kg for Cd). A total of 165 yogurt samples were examined using atomic absorption spectrophotometry (AAS). Interestingly, the findings showed that 10.9% of samples had Pb concentrations over the allowable limit; the highest amounts were observed in Baalbeck-Hermel (0.118 mg/kg), North Area (0.125 mg/kg), and South Lebanon (0.115 mg/kg). In addition, the highest detected concentrations of Cd were found in North Area (0.094 mg/kg), Baalbeck-Hermel (0.076 mg/kg), and Akkar (0.042 mg/kg), with 14.5% of samples above the limit. The results show regional differences in contamination, which are probably caused by industrial emissions, agricultural activities, and environmental pollution. To better understand the potential health implications, the estimated daily intake (EDI) of Pb and Cd through yogurt consumption was calculated and compared to international health-based guidance values. Although the EDI values suggest a low risk from yogurt alone, the findings highlight the importance of cumulative exposure and emphasize the necessity of regular monitoring and stricter implementation of food safety laws to decrease exposure to heavy metals through dairy intake. Full article

The Kunming-Montreal Global Biodiversity Framework (GBF) is an important agreement committing 196 countries (the United States is not part of GBF) to reduce and stop the loss of biodiversity by 2030. Biodiversity and soil diversity (pedodiversity) are intricately linked by sharing biosphere. Similarly to biodiversity, pedodiversity is classified using various classification systems adopted by countries in the world (e.g., United States Soil Taxonomy). The loss of pedodiversity is often caused by land use and land cover (LULC) changes, which impact biodiversity. These losses need to be acknowledged and accounted for by the GBF. The innovation of this study is that it proposes to include pedodiversity and its metrics into the GBF using the contiguous United States of America (USA) and GBF targets as an example. This study proposes to use geospatial technologies (e.g., land cover change matrix) linked to soil databases to monitor temporal changes and no net loss in pedodiversity. Loss of pedodiversity can result in damages (e.g., pollution), which can harm biodiversity and ecosystem functions and services (ES). As of 2021, over two million square kilometers were anthropogenically degraded in the contiguous USA, with all ten soil orders being affected by this degradation (relevant to target ten focused on the sustainable use of natural resources). Analysis of changes in LULC between 2001 and 2021 showed an increase in anthropogenic land degradation (LD) (+3.4%), which resulted in a net loss of pedodiversity and affected all of the ten soil orders in the contiguous USA. Future GBF refinements could use pedodiversity metrics to analyze the ability to support biodiversity. Full article