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    Removal of ship borne oil from seawater using Maltodextrin – gum Arabic – aerogel biocomposites: characterization, equilibrium, kinetics, thermodynamics, and process optimization

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    Abstract BACKGROUND Numerous contemporary investigations on the physical, chemical, thermal, and biological processes used to treat oil from seawater. The majority of the approaches' primary drawback, though, is how challenging it is to modify them for direct field use in traditional treatment systems. Of them, the adsorption technique is the most easily adapted to traditional water treatment systems. In this context, the presented paper investigates maltodextrin‐gum arabic‐silica aerogel biocomposites as ship‐borne oil adsorbent from seawater performance and feasibility. Results The 10%, 20%, and 30% gum arabic embedded in 10% maltodextrin and 2% silica aerogel synthesized biocomposites ship‐borne oil removal % values were 13.97%, 11.83%, and 28.57%, respectively. Experimental data by nonlinear isotherm and kinetics models of Langmuir, Freundlich, Temkin, and Dubinin‐Radushkevich and nonlinear kinetic models of pseudo first‐order, pseudo second‐order, Weber Morris, and Elovich were evaluated using STATISTICA (Version 8.0, StatSoft Inc., USA). Higher correlation coefficients ( R 2 ) and lower chi‐square (χ 2 ) represented that Freundlich and Temkin isotherm models and Weber Morris and pseudo first‐order kinetic models were superior for ship‐borne oil adsorption. The positive enthalpy revealed endothermic oil adsorption. The optimum independent variables resulted in a ship‐borne oil removal onto maltodextrin‐gum arabic‐aerogel with 2.91 g/g adsorption capacity. Conclusion The data from the first investigation in the literature on the adsorption of maltodextrin‐gum arabic‐aerogel biocomposites for the removal of ship‐borne oil from seawater are presented in this work. © 2025 Society of Chemical Industry (SCI).https://doi.org/10.1002/jctb.7006

    Active Packaging Nanofiber Films Based on Polyvinyl Alcohol‐Pullulan With Probiotics to Improve the Shelf‐Life of Chicken Fillets

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    ABSTRACT The increasing demand for safe and longer‐lasting food products has attracted attention in the development of active and sustainable food packaging materials. In this study, polyvinyl alcohol (PVA) and pullulan (PULL) based electrospun nanofibers were used as nanocarriers for three probiotic strains– Lactobacillus acidophilus , Lactobacillus plantarum , and Lactobacillus rhamnosus – to develop an active food packaging material. Successful encapsulation of the probiotics into the PVA/PULL nanofiber structure was confirmed by scanning electron microscope, fourier transform infrared spectroscopy, and thermogravimetric analysis. The moisture content (MC) and thickness of the films were significantly increased with the incorporation of probiotics. However, no color change was observed with the incorporation of probiotics into the nanofibers . Lactobacillus plantarum and Lactobacillus rhamnosus incorporated nanofibers exhibited over 90% viability, which was considerably higher compared to the nanofibers of Lactobacillus acidophilus ( p < 0.05). The mechanical properties of the probiotic‐loaded films ranged from 5.24  ±  0.73 to 11.08  ±  2.31 MPa in tensile strength (TS), 38.2  ±  9.1 to 82.2  ±  8.9% in elongation at break (EAB), and 0.016–0.018 g·mm/m 2 ·h·kPa in water vapor permeability (WVP). Moreover, all nanofibers containing probiotics had antibacterial activity against Escherichia coli , Staphylococcus aureus , and Salmonella Typhimurium . Lactobacillus plantarum ‐incorporated nanofiber was selected for further testing with chicken fillets due to its superior viability, mechanical strength, and antimicrobial activity. The results demonstrated that Lactobacillus plantarum ‐incorporated nanofiber reduced lipid oxidation and microbial growth, extending the shelf life of chicken fillets. In conclusion, the probiotic‐incorporated PVA/PULL nanofibers present a promising approach for active food packaging applications.https://doi.org/10.1111/1750-3841.7046

    Gluing formulas for volume forms on representation varieties of surfaces

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    Let Σg,nΣ_{g,n} be a compact oriented surface with genus g2g\geq 2 bordered by nn circles. Due to Witten, the twisted Reidemeister torsion coincides with a power of the Atiyah-Bott-Goldman-Narasimhan symplectic form on the space of representations of π1(Σg,0)π_1(Σ_{g,0}) in any semi-simple Lie group. In the present paper, we first obtain a multiplicative gluing formula for the twisted Reidemeister torsion of Σg,0Σ_{g,0} in terms of torsions of Σ2,2,Σ_{2,2}, Σ2,1,Σ_{2,1}, and boundary circles S1.\mathbb{S}^1. Then, by using Heusener and Porti's results on Σg,n,Σ_{g,n}, we show that the symplectic volume form on the representation variety of Σg,0Σ_{g,0} can be expressed as a product of the holomorphic symplectic volume forms on the relative representation varieties of surfaces Σ2,1Σ_{2,1} and Σ2,2.Σ_{2,2}.16 pages, redundancies removed in C1,C2 and Thm 5.5 and Cor 5.8 added. Comments welcome!https://doi.org/10.1007/s13366-025-00801-1https://dx.doi.org/10.48550/arxiv.2202.11155http://arxiv.org/abs/2202.1115

    Subcontractor Selection for a Construction Project: Optimal Plan

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    https://doi.org/10.1061/jcemd4.coeng-1640

    Online learning at the post-graduate level: Interpretations through Bloom’s revised taxonomy

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    This study aimed to identify the perspectives of post-graduate students on online learning in the field of educational sciences utilizing Bloom’s revised taxonomy specified for the cognitive domain to qualitatively explore the factors affecting lower-order thinking skills (LOTS) including remembering, understanding, and applying as well as higher-order thinking skills (HOTS) composed of analyzing, evaluating, and creating. The participants for this investigation were comprised of 20 post-graduate students who had enrolled in at least one online course within the field of educational sciences in Türkiye during the academic year 2022-2023. The collected data from interviews were analyzed by adopting the “directed qualitative content analysis” (DQICA) and using the MAXQDA 2020. The results of the DQICA revealed three themes with the connected codes and categories; namely, factors for (1) abilities, (2) inabilities, and (3) expectations aligning with the LOTS and HOTS of Bloom’s revised taxonomy. Overall, the findings suggest that the design and management of online learning environments play a crucial role in facilitating both LOTS and HOTS in higher education.https://doi.org/10.19128/turje.1454562https://dergipark.org.tr/tr/pub/turje/issue/90291/145456

    Evaluation of just in time strategy regarding carbon intensity indicator

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    https://doi.org/10.1080/20464177.2025.246933

    Emerging New Technologies/Innovations in Conventional and Mechanized Tunneling Methods

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    https://doi.org/10.1007/978-3-031-89114-4_1

    Recent Hybrid Machine Learning Approaches in Wind Speed Forecasting—A Review

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    ABSTRACTWind energy stands out as an increasingly popular energy source to mitigate the adverse effects of climate change. However, since wind energy is not continuous, the inability to predict how much energy can be produced at any time prevents further development of wind power generation. Therefore, wind speed forecasting studies are crucial to maximize the benefits of wind energy and facilitate accurate network planning, especially during peak usage periods. This paper comprehensively reviews hybrid machine learning studies forecasting wind speed in the last 7 years to gather insights and reveal better methods. Motivations, methodology, computational complexity, and performance improvement percentages of developed models over standard benchmark models are compared. Gathered insights, future directions, and the economic impacts of wind energy are also presented.https://doi.org/10.1111/joes.7000

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