Browse Articles

A pipeline of machine learning-driven multi-modal data fusion methods for prognostic risk analysis in bevacizumab-treated metastatic colorectal cancer

Research on the creep behavior of tunnel lining concrete based on a multi-scale approach

Evolutionary path from a prisoner’s dilemma to a harmony game via hawk–dove games

Abstract In most evolutionary matrix game models, the payoffs are assumed to be constant. Here, we develop a toy model of hunting in pairs in which interaction outcomes are determined not only by the behavioural strategy choice of the players but also a second, evolvable physical trait of them. We analyse the evolutionary dynamics of this model in a limiting case of the classical monomorphic framework introduced by Maynard Smith and Price characterised by rare mutations in physical trait, moderately frequent mutations in behaviour, and very fast selection in both. We show that this process can transform the evolutionarily stable strategy and, as a result, even the nature of the game played in the population: We present an illustrative numerical example in which the concurrent evolution of the behavioural and trait components of the phenotype turns a social dilemma into a harmony game via an intermediate phase of coexistence.

Multimodal graphene oxide nanoplatform integrating proteasome inhibition and phototherapy for synergistic oral cancer treatment

Composite materials with recycled fibers: Evaluation of the effect of different fibers on gypsum composites

Study the behaviour of Ti-Mo-xZr alloys during thermomechanical treatment

Abstract Titanium and its alloys became the master materials for bio-implants, possessing perfect stability inside the human body and excellent mechanical properties over traditional implant materials. Continuous development of commercial implant alloys, including Ti-6Al-4 V, results in approaching new Ti-alloys that are more biocompatible with the human body, replacing Al and V elements with vital alternatives. In this study, the influence of Zr addition to Ti–10Mo–xZr (x = 0, 3, 6 wt%) alloys during the thermomechanical processing on the phase stability, mechanical properties, and electrochemical behavior is investigated. Thermo-Calc software, which showed that Zr addition to Ti-10Mo reduces β-transus temperature and represents Zr as a β-stabilizer element. DSC experimental results agreed with the software calculations, approving Zr addition to minimize the α to β transformation temperature.XRD and SEM results revealed β phase as predominant in Ti–10Mo (94.6%) and Ti–10Mo–6Zr (82.3%), while Ti–10Mo–3Zr alloy exhibited (52.5%) α-phase, with non-linear phase evolution with Zr content due to the dual effect of element addition and thermomechanical processing. The elastic modulus ranged from 108.9 to 120.4 GPa, with Ti–10Mo–3Zr achieving the lowest modulus. The scoped alloys achieved high compressive ductility (> 60%), which gives a good mechanical computability. Electrochemical evaluation in simulated body fluid revealed composition-dependent corrosion behavior, where β-rich alloys demonstrated enhanced polarization resistance, while microgalvanic effects in the Ti-10Mo-3Zr alloy increased corrosion susceptibility. The corrosion rates in simulated body fluid are $$0.21843 \times \, 10^{ - 3}$$ , $$4.5714 \times \, 10^{ - 3}$$ , and $$0.642 \times \, 10^{ - 3}$$ mm/year for Ti-10Mo, Ti-10Mo-3Zr, and Ti-10Mo-6Zr alloys, respectively.

Retraction Note: Forecasting for electricity demand utilizing enhanced inception-V4 using improved Osprey optimization

Exploration of structural and electrochemical characterization of niobium substituted alpha Na1.1MnO2 as sodium-ion battery cathodes

Decreased serum MG53 levels are associated with SHBG and androgen excess in women with polycystic ovary syndrome

Abstract Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by hormonal and metabolic abnormalities. Mitsugumin-53 (MG53), a multifunctional E3 ubiquitin ligase, is implicated in insulin signaling and oxidative stress regulation, yet its role in PCOS remains unclear. This study aimed to investigate serum MG53 levels in women with PCOS and explore their associations with hormonal, metabolic, and ovarian parameters. In this case–control study, 64 women with PCOS and 64 healthy controls with comparable age were enrolled. Serum MG53 concentrations were measured by ELISA. Associations between MG53 and continuous variables were assessed using Spearman’s rank correlation. Independent determinants of MG53 were evaluated using multivariable linear regression (including age and BMI as covariates), and diagnostic performance for PCOS was assessed using receiver operating characteristic (ROC) analysis. Serum MG53 concentrations were lower in women with PCOS than in controls (median [IQR]: 124.4 [104.25–202.15] vs. 206.4 [131.63–316.58] pg/mL; p  = 0.001). MG53 correlated positively with sex hormone–binding globulin (SHBG) (ρ = 0.274, p  = 0.002) and inversely with ovarian follicle count (ρ =  − 0.223, p  = 0.011). In multivariable analysis, SHBG remained an independent positive determinant of MG53, whereas hirsutism and follicle count were independent negative predictors. MG53 demonstrated modest discrimination for PCOS (AUC = 0.667, 95% CI 0.569–0.762), with 57.8% sensitivity and 75.0% specificity at an exploratory cut-off of 131.1 pg/mL. Serum MG53 is reduced in PCOS and is associated with SHBG and features related to androgen excess and ovarian morphology. These cross-sectional findings support MG53 as a candidate biomarker reflecting metabolic–reproductive associations in PCOS; however, its diagnostic performance is modest and requires external validation. Trial registration Prospectively registered on ClinicalTrials.gov (NCT07094776) as an observational study.

Construction of a data-driven knowledge discovery path from the perspective of intelligent academic evaluation: an empirical study based on institutional repository and solr technology

Influence of rhBMP-2 and rhBMP-7 in fibrin on osseointegration of SLA implants: a preclinical evaluation

Design and techno-economic validation of a university campus hybrid microgrid using HOMER Pro and DIgSILENT PowerFactory

Abstract The increasing deployment of microgrids is driven by their ability to integrate renewable energy sources, enhance power reliability, reduce carbon emissions, and improve energy self-sufficiency in institutional energy systems. However, microgrid planning remains complex because technical performance, economic feasibility, and environmental impacts must be evaluated simultaneously. This study proposes a comprehensive framework for the design and validation of a grid connected hybrid microgrid for a university campus using HOMER Pro and DIgSILENT PowerFactory. The system integrates solar photovoltaic generation, wind turbines, battery energy storage, power converters, and utility grid support to satisfy campus electricity demand. Four alternative configurations were evaluated using HOMER Pro, and the optimal configuration includes a 50 kW photovoltaic array, seventeen 3 kW wind turbines, and eight 12.8 V 100 Ah battery units. The optimized system achieves a Net Present Cost of USD 51,985 and a Cost of Energy of USD 0.0287 per kWh, while attaining a renewable energy fraction of 77.1 percent. Annual carbon dioxide emissions are reduced by approximately 43,008 kg, corresponding to a 69.1 percent reduction compared to a conventional grid supplied system. Sensitivity analysis and PowerFactory validation confirm reliable operation, voltage performance, and long-term system robustness.

Identification and validation of disulfidptosis-related gene signature revealed DKK1 as a therapeutic target in head and neck squamous cell carcinoma

Assessment of advanced glazing systems for building energy efficiency in hot-arid climates

Abstract The built environment is considered among the most contributing factors to energy consumption. The building envelope plays a crucial role in determining the building energy consumption, regulating heat transfer and maintaining adequate indoor environmental quality. Hence, optimizing the thermal performance of the building envelope by achieving optimal glazing solutions while fulfilling the Sustainable Development Goal (SDG 7) is the main aim of this research. This study investigates the impact of various facade glazing systems on the building energy performance, focusing on the cooling energy consumption of an office building in a hot arid climate, Cairo, Egypt. The novelty of this study lies in evaluating the adaptability of multiple glazing technologies in hot arid climate employing two different approaches: experimental and simulation. A thorough literature review was first conducted to have a comprehensive background, followed by an experimental study. The experimental setup involved small concrete chambers equipped with temperature sensors that were utilized to test four different glazing types: single-glazed clear glass, double-glazed clear glass, low-emissivity coated Vistalite sky-blue double-glazed pane, and solar control Stopray Smart 30 double-glazed pane. A simulation model was then established using TRNSYS 17.0.0 software to validate the experimental findings. A deviation of less than 9% was detected. Subsequently, a comprehensive simulation case study on a medium office building in Cairo was performed. The experimental results demonstrated that the solar control glazing (Stopray Smart 30) exhibited the best performance, reducing the internal chamber temperature by 17 °C compared to ordinary clear glass and enhancing thermal efficiency by 29%. The simulation results indicate a significant enhancement of the building thermal efficiency by 22% and a remarkable reduction of cooling energy consumption by 50% when replacing conventional clear double-glazed windows with solar control glazing (Stopray Smart 30). This research provides crucial insights into enhancing energy efficiency in buildings in hot climates through the optimal selection of high-performance glazing systems.

Introducing a predictive-oriented multi-stakeholder recommender system model

Mediation of sphingolipid metabolism on the relationship between human nitrosamines exposure and esophageal cancer risk

Study on the structure and hydrological cycle of the Pingjiang underground river system

Determinants of delivery rider disability severity based on judicial adjudication records in China

Performance of the DK and DKM shell elements in the standard, and the sequential, finite-element based limit analysis

Abstract This paper investigates the applicability of the DK (Discrete Kirchhoff) and DKM (Discrete Kirchhoff–Mindlin) shell element classes for the first time within the framework of the standard (and sequential) finite-element-based limit analysis, which is a direct method used for determining the plastic collapse (and post-collapse) behavior of structures. Despite these elements not being able to guarantee a strict upper bound, it is shown that they exhibit a significantly lower discretization error compared to the strict upper-bound formulated shell elements used in literature. The higher numerical efficiency of quadrangle elements over triangle elements is observed. The behavior of the tested shell elements on distorted meshes is also explored and discussed. The convergence orders of the tested shell elements are also estimated.

Low‐Temperature Reverse Water–Gas Shift Enabled by Magnetically Induced Catalysis

ABSTRACT Equilibrium‐limited endothermic reactions play a crucial role in the transition toward a more sustainable chemical industry, but are typically plagued by the need for high operation temperatures (>500°C). Here, we show that the temperature gradients generated by the selective and localized heating of catalyst materials in a colder reactor environment shift the equilibrium of thermodynamically‐limited endothermic reactions and improve their performance. In particular, the reverse water gas shift reaction and magnetic induction are selected as the model reaction and selective catalyst heating method, respectively. Magnetically induced catalysis using standard Cu–Al spinel‐derived catalyst functionalized with carbon‐coated iron nanoparticles enables high CO yield (up to 62%) at mild catalyst and reactor temperatures (estimated at 300°C and determined as 25–123°C, respectively). We demonstrate that the catalyst temperature and not the reactor temperature governs the equilibrium product composition of the rWGS, and that the temperature gradient promotes the in situ removal of water to shift the gas phase thermodynamic equilibrium. These two points synergistically result in a CO yield that would require a reactor temperature of 650°C in a conventionally heated gas phase reaction.