Abstract: 

TIn today's industrial landscape, marine oil spills persist as formidable challenges, defying conventional cleanup methodologies to achieve complete oil extraction from seawater. This enduring complexity has spurred a burgeoning interest in natural organic materials as sustainable alternatives to synthetic absorbents. These materials, prized for their cost-effectiveness, renewability, and biodegradability, often necessitate supplementary treatments, like carbonization, to augment their oil-absorbing capabilities. This study endeavors to meet this demand by devising a methodical and replicable approach to optimizing these materials, with a focused exploration of kenaf plant fibers sourced from Hibiscus cannabinus. Leveraging linear regression techniques, the research successfully predicted experimental oil retention, yielding an impressive adjusted R-squared value of 97.86%. This robust value underscores the model's reliability, even when contending with intricate predictor variables. These statistical models furnish a predictive framework for shaping forthcoming oil retention experiments, fostering a more effective and environmentally conscious path toward oil spill cleanup. The latent potential of Kenaf as a natural absorbent stands poised to significantly and positively influence the environmental remediation arena. This inquiry meticulously tracks the morphological and chemical transformations during the carbonization process and employs statistical models to heighten the oil-absorbing attributes of Kenaf fibers. This optimization trajectory holds promise to redefine strategies for managing oil spill cleanups, presenting a transformative avenue toward more efficient and ecologically mindful remediation approaches.  

Keywords:  Kenaf  Plant, Oil Spill, Hydrophobicity, Optimization, Porosity, Retention Time, and Adsorption Capacity. 

Abstract: 

  Currently the railway station management, cost budgeting has emerged as a critical aspect, particularly as the industry grapples with the complexities of evolving market dynamics. Traditional cost management approaches have proven insufficient to address the multifaceted challenges faced by railway stations today. In response, resource consumption accounting has surfaced as a promising alternative, offering a fresh perspective on cost optimization. This paper is investigating the efficacy of resource consumption accounting in enhancing cost budget management within the context of railway stations. Briefly, introduce the detail of Resource Consumption Accounting. It delves into the methodology, implementation, and the adoption of this accounting approach. The data collection subdivided into operations and resource drivers of the ticketing workshop of Baghdad Railway Station. Furthermore, it scrutinizes the impacts on cost allocation, resource utilization, and overall cost efficiency. The results of this study shed light on the transformative potential of resource consumption accounting. It reveals substantial improvements in cost budget management, showcasing enhanced accuracy in cost allocation, better utilization of resources, and a more streamlined approach to cost control.

Keywords: Resource consumption accounting, cost control, budget management.

Abstract: 

  The research aims to produce a polymer-based composite material due to its wide use instead of traditional materials. This material has good mechanical properties (Young's modulus and tensile strength) and high impact and hardness without effect on the high adhesive property of epoxy, and because it is not possible to improve the properties of epoxy reproduction when use it alone, the use of additives has been directed to Nano SiC in this research. The composite material was produced by gradually adding Nano SiC granules to the epoxy resin according to the weight ratios  (4, 8, 12, 16, 20, 24, 28)  Nano SiC% with particle size (50 nm) , the experimental results gave an  improvement for all the properties studied by adding  SiC compared to Epoxy resin only. Mechanical properties (Young's modulus, maximum tensile strength, impact resistance, hardness strength) were studied for all samples with different weight ratio for SiC and for epoxy samples only, the practical results showed the best Impact and Tensile resistances with the best Young modules were at SiC (20%) , Either the hardness resistance continues to increase with the  increase of the SiC ratio and its highest value ( 53 Shore D) at the ratio of SiC (28 %).

Keywords: Composite Materials; Polymer; Silicon carbide .

Abstract: 

Latinx and 2SLGBTQ+ preadolescent and adolescent students are victims of unacknowledged disparities on school inclusion and social connection in regards to their own race and/or sexual preferences that unavoidably impact, perceptibly or imperceptibly, on their personal and social growth in the middle and high school educational context of San Diego County. This critical (according to Paulo Freire’s conception of “critical” as trying to bring justice for the Oppressed through a conscious awakening of the Oppressed) and Integral literature review paper, draws upon resources surfacing in both the XXth and the (first 24 years of the) XXIst centuries in order to bring justice to these vulnerable groups whose daily reality develops in a region belonging to Mexico prior 1848.

Books centered in the inclusion of Latinx, research papers and preadolescent-and-adolescent statistics from the California Department of Education,  the Office of Juvenile Justice and Delinquency Prevention, California Violent Death Reporting System, and Greatschools (2023) offered  abundant information focused on the educational conditions  and social behavior of  Latinx and 2SLGBTQ+ youth of California in general and, specifically, of San Diego County built  up the cornerstone of this study. It is important to mention that although the California Department of Education frequently releases accurate information about the social conditions faced by BIPOC (Black, Indigenous and People of Color) and 2SLGBTQ+ (2-Spirit, Lesbian, Gay, Trans, and Plus) youth, there does not exist to date any public resource or study focusing exclusively on  BIPOC and 2SLGBTQ+ preadolescents and adolescents as a single anthropological group  residing either in the State of California or in San Diego county.

Keywords: Safety, 2SLGBTQ+, Latinx, Education, School, Justice, Equality.

Abstract: 

 The quality of experience (QoE) has become, in recent years, the main factor in determining the success of applications, web pages, and everything related to modern technology. This is due to the fact that the increase in the user's satisfaction with the services leads to an increase in his/her use of these applications, which is considered a benchmark for the success of these services. It is worth noting that many factors affect the quality of experience. The most important of these is the method of transferring data through the network, which is governed by the quality of the service. In this project, measuring QoE value had been considered by estimating the QoS value of web applications using SLA parameters. QoS has been used as a way to measure users' satisfaction with the services provided. The project was implemented by creating a web application (which provides Restful web services) using (Apache NetBeans) to develop the web server using servlet technology. The Apache Tomcat server was used to run and provide the web service. The Wireshark program was used as a tool to measure QoS value. The QoE was measured using a questionnaire filled out by 27 volunteers. The results showed that there is a proportional relationship between the QoS and QoE; it also showed that measuring the quantity of experience is not only limited to measuring the quantity of service but is also limited to feelings, personal viewpoints, and experiences of the users..

Keywords: QoS; QoE; SLA; Computer Networks .

Abstract: 

The objective of this work is to propose a technique based on new cubic Hybrid B-spline (CuHBS) functions to approximate the Benjamin-Bona-Mahony-Burger (BBM-Burger) equation. This equation is used for modelling numerous problems occurring in applied sciences. The interpolation of space derivative is done with the help of B-spline functions. The numerical results have been presented to show that the cubic Hybrid  B-spline method is effective and efficient in solving the Benjamin-Bona-Mahony-Burger (BBM-Burger) equation. The error norms are also calculated to check the accuracy of the proposed scheme. The numerical results reflect that the proposed scheme can be used for linear and highly nonlinear models.

Keywords: Cubic Hybrid B-spline method, Benjamin-Bona-Mahony-Burger equation (BBM-Burger).