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Dynamic Modeling and Performance Assessment of Khorshed Wastewater Treatment Plant Using GPS-X: A Case Study, Alexandria, Egypt
No full textWater scarcity continues to challenge arid regions such as Egypt, where growing population demands, climate change impacts, and increasing agricultural pressures intensify the need for sustainable water management. Treated wastewater has emerged as a viable alternative resource, provided that the effluent meets stringent quality standards for safe reuse. The purpose of this study was to develop a comprehensive model of the Khorshed Wastewater Treatment Plant (KWWTP) to depict the processes used for biological nutrient removal. Operational data was gathered and examined over a period of 18 months to describe the quality of wastewater discharged by the Advanced Sequencing Batch Reactor (ASBR) of the plant, using specific physicochemical parameters like TSS, COD, BOD5, and N-NO3−. A process flow diagram integrating the Activated Sludge Model No. 1 (ASM1) for biological nutrient removal was created using the GPS-X. The study determined the parameters influencing the nutrient removal efficiency by analyzing the responsiveness of kinetic and stoichiometric parameters. Variables related to denitrification, autotrophic growth, and yield for heterotrophic biomass were the main focus of the calibration modifications. The results showed that the Root Mean Square Error (RMSE) for the dynamic-state was COD (0.02), BOD5 (0.07), N-NO3− (0.75), and TSS (0.82), and for the steady state was COD (0.04), BOD5 (0.11), N-NO3− (0.67), and TSS (0.10). Since the model’s accuracy was deemed acceptable, it provides a validated foundation for future scenario analysis and operational decision support that produces a trustworthy model for predicting effluent data for the concentrations of TSS, COD, BOD5, and N-NO3− in steady state conditions. Dynamic validation further confirmed model reliability, despite modest discrepancies in TSS and nitrate predictions; addressing this issue necessitates further research
Effect of Dietary Perilla frutescens Seed Powder Supplementation on Performance, Egg Quality, and Yolk Fatty Acid Composition of Laying Hens
No full textIn this study, we examined the influence of dietary PFS powder supplementation on production performance, egg quality, and yolk fatty acid profile in laying hens. A total of 192 Hy-Line® Brown hens, 30 weeks of age, were randomly allocated to four dietary treatments containing 0, 30, 60, and 90 g/kg of PFS powder, administered over a 12-week period. No significant differences were observed in egg weight, feed intake, or feed conversion ratio among the treatment groups (p > 0.05). However, supplementation with 60 and 90 g/kg PFS significantly enhanced egg production and total egg mass (p < 0.05), particularly during weeks 41–44. Egg quality parameters—including albumen height, Haugh unit, yolk color, shell thickness, and shell strength—remained unaffected across treatments (p > 0.05). Serum analyses revealed that PFS supplementation significantly reduced levels of total cholesterol, low-density lipoprotein (LDL), triglycerides, and yolk total cholesterol compared with the control diet (p < 0.05). Moreover, yolk fatty acid composition was notably altered: total PUFAs and n-3 PUFAs increased (p < 0.05), whereas total monounsaturated fatty acids and the n-6/n-3 PUFA ratio decreased (p < 0.05) with rising PFS inclusion. In conclusion, dietary PFS powder improved laying performance and favorably modulated yolk fatty acid composition, without compromising egg quality in laying hens
Advances in Fuel Energy
No full textOngoing climate change, the depletion of fossil fuel resources, and the continuously growing demand for energy have made the development and implementation of new types of fuels for energy systems one of the key challenges of modern engineering [...
Diagnostic Value of Serum and Salivary Podoplanin as Clinical Biomarkers for Distinguishing Oral Cancer from Oral Leukoplakia
No full textObjective: This study aimed to evaluate serum and salivary podoplanin (PDPN) levels in patients with oral cancer (OC) and oral leukoplakia (OL) and to investigate their potential role as diagnostic biomarkers in distinguishing between these conditions. Materials and Method: Ninety participants were enrolled: 30 healthy controls, 30 patients with OL, and 30 patients with histopathologically confirmed OC. All cases were recruited from the Department of Otorhinolaryngology, Cerrahpaşa Medical Faculty and Istanbul Atlas University Hospital. Demographic characteristics, comorbidities, and biochemical parameters were recorded. Serum and salivary PDPN levels were measured using the ELISA method. Results: Serum PDPN levels were significantly higher in the OC group (3.25 ± 0.80 ng/mL) compared with both OL (1.85 ± 0.56 ng/mL) and controls (0.98 ± 0.42 ng/mL) (p < 0.001). Salivary PDPN levels showed a similar pattern, being highest in OC (2.65 ± 0.75 ng/mL), followed by leukoplakia (1.40 ± 0.45 ng/mL), and controls (0.72 ± 0.30 ng/mL) (p < 0.001). Importantly, both serum and salivary PDPN concentrations increased progressively with increasing epithelial dysplasia severity among patients with OL (one-way ANOVA, p < 0.001). ROC analysis demonstrated excellent diagnostic accuracy for OC: AUC = 0.976 for serum PDPN (cut-off: 2.0 ng/mL; sensitivity 93.3%, specificity 100%) and AUC = 0.987 for salivary PDPN (cut-off 1.24 ng/mL; sensitivity 93.3%, specificity 95%). Conclusions: Serum and salivary PDPN levels were significantly elevated in patients with OC and demonstrated excellent diagnostic performance in distinguishing malignant lesions from OL and healthy controls. The observed stepwise increase in PDPN levels with dysplasia severity further supports its role in malignant transformation. Notably, salivary PDPN represents a non-invasive, practical, and reproducible biomarker that may aid in early detection and risk stratification of high-risk oral premalignant lesions. PDPN assessment could therefore complement clinical and histopathological evaluation, although larger prospective studies are warranted to validate its diagnostic and prognostic utility
Histological Features of Kidney Allograft Biopsies According to Metabolic Acidosis Status: A Biopsy-Based Single-Center Observational Study
No full textMetabolic acidosis is common after kidney transplantation and has been linked to adverse renal outcomes. However, its relationship with histological injury in kidney allografts remains poorly characterized. We aimed to explore the association between metabolic acidosis and histopathological features in kidney allograft biopsies. This single-center, cross-sectional observational study included 63 adult kidney transplant recipients who underwent clinically indicated allograft biopsies. Metabolic acidosis was defined as a serum bicarbonate level < 22 mmol/L at the time of biopsy. Histological lesions were assessed according to the Banff classification. Lesion severity was evaluated using descriptive statistics, nonparametric comparisons, ordinal logistic regression, and multivariable logistic regression models adjusted for renal function, proteinuria, and time from transplantation. Sensitivity analyses additionally adjusted for hemoglobin and donor-related variables. Patients with metabolic acidosis exhibited numerically higher severity scores for both acute inflammatory lesions and chronic histological changes, including total inflammation and interstitial fibrosis/tubular atrophy (IFTA). Across ordinal analyses and multivariable regression models, consistent directional trends toward a greater histological injury burden were observed among acidotic patients; however, none of these associations reached statistical significance, and confidence intervals were wide. Sensitivity analyses yielded directionally consistent effect estimates. In this biopsy-based analysis, metabolic acidosis showed consistent directional trends toward a higher burden of inflammatory and chronic histological lesions, although these findings did not reach statistical significance
Molecular Research and Treatment of Breast Cancer: From EMT Regulation to Innovative Therapeutics
No full textBreast cancer is the leading cause of cancer-related deaths in women [...
Plasmablast Storms: Microbial Drivers of Acute and Chronic Autoimmune Flares
No full textAutoimmune flares are often accompanied by abrupt surges of circulating plasmablasts—short-lived, high-output antibody-secreting cells generated through extrafollicular B-cell activation in response to microbial cues. Three categories of microbial input appear to repeatedly trigger these “plasmablast storms”: latent herpesvirus reactivations (Epstein–Barr virus, cytomegalovirus, human herpesvirus-6, varicella–zoster virus), acute respiratory or gastrointestinal infections including SARS-CoV-2, and chronic oral or gut dysbiosis. Although biologically distinct, these stimuli converge on innate sensing pathways driven by pathogen-associated molecular patterns such as unmethylated CpG DNA, single-stranded RNA, lipopolysaccharide, and bacterial lipoglycans. Through Toll-like receptors and type I interferon signalling, microbial signatures accelerate class switching, amplify inflammatory cytokine milieus, and lower B-cell activation thresholds, enabling rapid plasmablast mobilisation. Dysbiosis further maintains B cells in a hyper-responsive state by disrupting mucosal homeostasis and altering microbial metabolite profiles, thereby reducing the stimulus required to trigger plasmablast bursts. Once generated, these waves of oligoclonal plasmablasts home to inflamed tissues, where chemokine and adhesion landscapes shape their retention during flares. Emerging evidence suggests that such episodic plasmablast expansions promote autoantibody diversification, somatic hypermutation, and epitope spreading, progressively eroding tolerance. This review synthesizes these insights into a unified model in which infections and dysbiosis promote microbe-licensed plasmablast storms that influence the tempo and severity of autoimmune disease
Civil Airplane Safety Awareness Technology Using Virtual Flight Method
No full textCivil airplanes encounter unpredictable safety risks due to uncertain environmental disturbances, mechanical failures, and pilot mis-operations. This paper develops a virtual flight method (VFM) consisting of a series of techniques including flight motion simulation, flight command simulation, flight control simulation, and flight environment simulation. Moreover, a safety perception technique is established using fuzzy safety constraints, which transfers the decoupled analysis of micro-level aircraft state parameters to the coupled analysis of macro-level global system parameters. This integrated approach enables virtual flight operations and safety situation awareness for civil aircraft within the ‘Human–Machine–Environment’ triad under the influences of complex factors. The takeoff and climb scenario of the Cessna Citation 550 aircraft is selected as a case study to validate the feasibility of the proposed safety awareness technology. Results illustrate the capability to effectively capture the aircraft’s flight characteristics and safety status of the civil aircraft under various operational conditions. The safe operational envelope within specific scenarios is also determined
Hybrid Renewable Systems Integrating Hydrogen, Battery Storage and Smart Market Platforms for Decarbonized Energy Futures
No full textRapid decarbonization and decentralization of power systems are driving the integration of renewable generation, energy storage and digital technologies into unified energy ecosystems. In this context, photovoltaic (PV) systems combined with battery and hydrogen storage and blockchain-based platforms represent a promising pathway toward sustainable and transparent energy management. This study evaluates the techno-economic performance and operational feasibility of integrated PV systems combining battery and hydrogen storage with a blockchain-based peer-to-peer (P2P) energy trading platform. A simulation framework was developed for two representative consumer profiles: a scientific–educational institution and a residential household. Technical, economic and environmental indicators were assessed for PV systems integrated with battery and hydrogen storage. The results indicate substantial reductions in grid electricity demand and CO2 emissions for both profiles, with hydrogen integration providing additional peak-load stabilization under current cost constraints. Blockchain functionality was validated through smart contracts and a decentralized application, confirming the feasibility of P2P energy exchange without central intermediaries. Grid electricity consumption is reduced by up to approximately 45–50% for residential users and 35–40% for institutional buildings, accompanied by CO2 emission reductions of up to 70% and 38%, respectively, while hydrogen integration enables significant peak-load reduction. Overall, the results demonstrate the synergistic potential of integrating PV generation, battery and hydrogen storage and blockchain-based trading to enhance energy independence, reduce emissions and improve system resilience, providing a comprehensive basis for future pilot implementations and market optimization strategies
Thermomechanical Performance of Ambient-Cured Fly Ash Geopolymers Under Fire Exposure: Role of Activator Type and Mix Design
No full textFly ash–based geopolymers have emerged as a promising alternative to ordinary Portland cement, offering high mechanical strength and reduced environmental footprint. However, they are often limited by significant shrinkage and strength degradation when subjected to elevated temperatures. To enhance their thermomechanical performance and thermal stability, this study investigates the effects of mix proportioning parameters, alkali activator type, and thermal shock on performance deterioration. Compressive strength was evaluated for sodium- and potassium-activated fly ash geopolymer composites as a function of alkaline activator (AA) ratios, both under ambient curing and after exposure to the ISO 834 standard fire curve for 1 and 2 h. Volume change, mass loss, and density variation were analysed to interpret mechanical behaviour and relate it to structural transformations, while XRF, XRD, SEM, and particle size distribution were employed for material characterisation. Results indicate that rapid temperature changes, whether from thermal shock or high fire-heating rates, induced notable additional thermal degradation. Sodium activation achieved the highest compressive strength retention of 145% at one hour of firing, while potassium activation showed superior thermal stability with delayed densification, reaching 154% strength retention at two hours. Furthermore, SiO2/M2O ratio exerted the strongest influence on both mechanical and thermomechanical performance. Overall, the findings highlight that the activator type, SiO2/M2O ratio, and rapid temperature changes collectively exert strong control over the thermomechanical and thermophysical response of fly ash geopolymers at elevated temperatures