The Lahore Garrison University (Urdu: لاہور گیریژن یونیورسٹی) LGU is a Pakistan Army university located in Lahore, Punjab, Pakistan. The university was established by the Pakistan army. It runs undergraduates and graduate and PhD programs in various disciplines. Alumni and Students are known as Garrisonian..
PurposeThis research examines the relationship between green intellectual capital (GRIC), blockchain technology (BCT), green manufacturing (GM) and sustainable performance in large manufacturing firms.Design/methodology/approachCross-sectional data were gathered from manufacturers, and partial least square structural equation modeling was employed to examine the proposed hypotheses.FindingsThe outcomes elucidated that GRIC, which includes green human capital (GRHC), green structural capital (GRSC) and green relational capital (GRRC), has enabled the implementation of GM and BCT. Furthermore, GM and BCT have a positive relationship with all three dimensions of sustainability performance.Research limitations/implicationsThe findings provide a policy framework for practitioners, decision makers and legislators to enhance GM in firms as its implementation gives a competitive position, enhances profitability, enable to meet customers' demands and improves societal safety and help preserving natural environment.Originality/valueThe current research is novel in that it discusses in depth mechanic on GRIC, BCT and GM. This study enhances the comprehension of the intellectual capital-based view and dynamic capabilities theory by postulating that GRIC has a significant role in the adoption of GM and BCT, which further affects sustainable performance.
TiO2 has been regarded as the most appropriate candidate for dilute magnetic semiconductors because of its practically observed and theoretically expected room temperature ferromagnetism. Therefore, a series of Fe doped Cu-TiO2 dilute magnetic semiconductors has been synthesized with the general formula FexCu0.15Ti0.85-xO2 (x = 0, 5, 7, 9, 11 and 13 wt
This study investigates the influence of velocity slip on the magnetohydrodynamic flow of a non-Newtonian Casson fluid between non-parallel walls. The governing nonlinear partial differential equations are reduced to a relatively simple nonlinear ordinary differential equation by applying a suitable similarity transformation. High-fidelity reference solutions generated using a boundary value problem solver are utilized to train a feedforward artificial neural network optimized via the Levenberg-Marquardt backpropagation algorithm. The Levenberg-Marquardt backpropagation algorithm demonstrated exceptional accuracy in predicting fluid dynamics, achieving low mean squared error values and strong correlations between predicted and target outcomes. The expected solutions of the suggested model are addressed by using the Levenberg-Marquardt adaptive neural network's testing, training, and validation phases. Regression analysis, error histograms, function fitting graphs, and mean squared error outcomes are used to assess the algorithm's performance and comparability. For each scenario in the case one, the performance on mean squared error for the velocity profile of the developed model was shown at around [2.4915 x 10-10, 2.1404 x 10-9, 9.8545 x 10-11, 6.4551 x 10-10, 2.2514 x 10-9]. A set of parameter values is used to compute the results: channel angle (alpha), Hartmann number (Ha), Reynolds number (Re), Casson fluid parameter (/3), and velocity slip parameter (gamma). In addition to detailed discussions, graphical simulation is used to illustrate the consequences of developing parameters for diverging and converging channels. The neural network model showed excellent predictive accuracy with the correlation coefficient (R) approximate to 1. Key findings revealed that increasing the channel angle (alpha), Casson fluid parameter (/3), velocity slip parameter (gamma), and Hartmann number (Ha) enhanced fluid velocity, while Reynolds number (Re) exhibited opposing effects in diverging and converging channels. These results demonstrate the model's robustness and the significant impact of physical parameters on Casson fluid dynamics. Accurate results are shown when the Levenberg-Marquardt method and reference solutions are compared.
Hydrogen is a promising energy carrier for a sustainable and carbon-free future due to its high energy density and zero emissions. However, developing efficient, safe, and economical hydrogen storage systems remains a key challenge. Biomass-derived carbon materials (BCMs) have garnered significant attention due to their renewable origin, high surface area, and tunable porosity. This review summarizes recent progress in the synthesis and modification of BCMs for hydrogen storage applications. Carbonization techniques, including pyrolysis, hydrothermal treatment, molten-salt treatment, and ionothermal processes, are analyzed for their effects on the physicochemical properties of BCMs. Factors affecting pore structure, surface functionality, and adsorption behavior are systematically discussed, along with surface functionalization methods designed to enhance hydrogen uptake. Uniquely, this review establishes a direct relationship between synthesis parameters, structural characteristics, and hydrogen adsorption performance of BCMs, providing a novel framework for understanding structure–property-performance correlations. This perspective offers new insights into the rational design of cost-effective, sustainable hydrogen storage materials. Remaining challenges related to scalability, structural stability, and cost are identified, and future research directions are proposed to advance the practical implementation of BCMs in hydrogen storage technologies.
In this paper, we present novel exact traveling wave solutions for the coupled Whitham-Broer-Kaup equation, which includes both odd- and even-order partial derivative terms. These solutions are obtained using the extended generalized Riccati equation mapping method. The resulting traveling wave solutions exhibit diverse forms, including bright solitons, periodic waves, breather solitons, lump solitons, and others. Furthermore, the stability and conservation laws associated with these solutions are analyzed in detail. These findings have significant implications in physics and various applied sciences. In addition, the proposed method proves effective for solving a broader class of coupled nonlinear partial differential equations.
