In the era of digital communication, Facebook has emerged as a powerful platform influencing language use, particularly among university students. This study investigates the phenomenon of "Facebook English," a distinctive digital variety marked by informal grammar, abbreviations, emoticons, and creative lexical formations. Focusing on Libyan English department students, the research explores the relationship between Facebook usage and its impact on academic writing, grammatical accuracy, and perceptions of language formality. Using a quantitative methods approach that includes surveys and statistical analysis, the findings reveal no significant correlation between Facebook use and academic English performance. However, gender and age differences were observed in the use and perception of Facebook English. The study emphasizes the need for language educators to integrate digital literacy and critical language awareness into curricula, enabling students to navigate both informal and academic registers effectively. These findings contribute to the broader understanding of computer-mediated communication and its pedagogical implications in EFL contexts. Keywords: Facebook English, Computer-Mediated Communication (CMC), Sociolinguistics, Libyan University Students, Digital Literacy, Language Variation, Academic Writing, Informal Registers, English as a Foreign Language (EFL), Social Media Linguistics

This research deals with estimating the likely switch of car ownership drivers and private transport vehicles modes

users to public transportation system (PT) modes in the main cities as Tripoli Capital city of Libya due to reduced

shopping travel time of all trips influenced by age, household size. Car ownership and shopping distance through

the introducing the public transport modes such as public buses. The data on other factors (variables) that could

potentially reason a model switch of from car ownership drivers and private transport vehicles modes users to

public transport were collected through a survey (questionnaire) with a specified predilection method. Modeswitch models to describe the switch of conduct of own car operators to PT system are developed. A binary

logistic regression model was used to assessment the transport displacement model for shopping trips. Probability

curves have been developed to change the position so that it is a user-friendly tool for analysing the potential

transformation Model of a variety of variables. One way to achieve this objective is by establishing reserved

public transportation lanes on main urban Tripoli city roads. The providing of private road lanes will increase of

service road level and reduce the level of road traffic congestion and this may effect in a switch of all or some

private transport mode users to public transport modes.

Key words: Own car, Public transport modes, logit model, shopping Travel time, shopping distance, age, car

ownership and switch probabilities, likelihood..

Abstract: This paper presents simulation technique for life assessment of the insulation of the power transformer. Load and ambient temperatures are two important factors that influence the hot spot of transformers. The transformer hot spot temperature is one of the most critical parameter in determining the life of transformer paper insulation. The simulation (Matlab Software Package) is based on related international standards as the IEC 60076-7:2005 loading guide method. Load and ambient temperatures of the transformer obtain from General Electrical Company and meteorology office of Libya are used as the input for the simulation together with transformer parameters from heat run test. Hottest spot temperature and loss-of-life are calculated. Lifetime of transformer is predicted. Keywords: Hot-spot temperature, power transformer, top-oil temperature, loss of life

Abstract:- This paper introduces a technique for modeling and effectively controlling the trajectory tracking of a robotic manipulator through an LQG controller optimized by the IPSO algorithm. Extensive simulations have been conducted within the MATLAB simulation environment. The LQG, which combines a Kalman Filter (KF) and a Linear Quadratic Regulator (LQR), is developed to follow the desired input for the robotic manipulator while minimizing the impact of process and measurement noise on its performance. The parameters of the LQG controller, which include the elements of the state and control weighting matrices for the LQR and KF, are optimally adjusted using the IPSO method. The validation of the proposed hybrid LQG-IPSO controller is conducted based on the control criteria parameters. The findings demonstrate that the proposed hybrid LQGIPSO controller can achieve excellent movement performance. To fully leverage the capabilities of the IPSO algorithm, careful adjustment and determination of IPSO parameters such as inertia weight, iteration count, acceleration constants, and particle quantity are essential. Therefore, The initial focus of this study is to conduct a comparative analysis of various fitness functions; simulation results indicate that the proposed hybrid LQGIPSO control method achieves commendable fitness outcomes with minimal steady-state error (ess). Following this, a comparison of the performances of a robotic manipulator using the hybrid LQG-IPSO controller, hybrid LQR-IPSO controller, LQG controller, and LQR controller is also presented. Based on the analysis, it can be concluded that superior performance parameters are attained with the hybrid LQG-IPSO controller when compared to its counterparts—the hybrid LQR-IPSO controller, LQG controller, and LQR controller—offering enhanced performance.

Keyw Keywords: Linear Quadratic Gaussian (LQG) controller, Linear Quadratic Regulator (LQR) controller, Improved Particle Swarm Optimization (IPSO) algorithm, Particle Swarm Optimization (PSO) algorithm and MATLAB etc