With the growing demand for fast and reliable telecommunications infrastructure, deploying a Long-Term Evolution (LTE) network has become a necessity to support both economic and social development. This paper presents three proposed layouts for designing an LTE network in the downtown area of Gharyan, which represents the city’s central and most densely populated zone. The project was motivated by the uneven distribution of coverage across the area, whereseveral locations experience either a complete lack of service or very weak signal reception. The aim is to support the city’s digital transformation by improving access to mobile internet and data services, which in turn enhances business performance, emergency response, public service efficiency, education, remote learning, telemedicine, and remote work opportunities. To implement this plan, the design process relied on Mentum Planet software, a tool specialized in mobile network planning, using real-world terrain and signal data provided by Almadar Company. Three different network layout designs were simulated using two built-in propagation models: the Planet General Model (PGM) and the Q9 model. These simulations were conducted to assess signal strength and coverage across the study area. The analysis showed that one of the layouts provided significantly better signal quality and broader coverage compared to the others. Moreover, the Q9 model proved more reliable in predicting signal behavior in densely built urban settings. Based on these findings, a set of technical recommendations has been developed to guide the future implementation of LTE networks in similar environments, while also addressing challenges such as terrain variations, signal interference, and infrastructurelimitations. In conclusion, this work contributes to enhancing telecommunications services in Gharyan and supports broader efforts toward innovation and digital inclusion across key sectors in the region.

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: In light of the aspiration to achieve sustainability in the field of education, especially after the development of artificial intelligence technologies in general and artificial neural network technologies in particular, the process of improving e-learning has become one of the most important strategies for achieving sustainability. This study aims to evaluate the impact of using artificial intelligence techniques and artificial neural networks on improving cloud e-learning by extracting and mining data from the electronic cloud and analyzing it to provide a more efficient and effective educational experience. Through several methodologies, including descriptive methodology to describe the factors influencing the improvement of machine learning through the use of artificial intelligence techniques and the mechanism for using these techniques, quantitative methodology was used in collecting data and analytical scientific methodology to analyze the results of the proposed model, which is a hybrid of convolutional artificial neural networks (CNN) and recursive neural networks (RNN). Through the model, it is possible to extract and analyze user data such as interaction with content and duration of study to extract patterns and behaviors that support improving the learning experience, and personalizing individual learning paths. Predicting the academic performance of students using machine learning techniques. The results showed an improvement in the learning experience of 86% and an improvement in platform performance of 85%. Machine learning indicators, such as accuracy (94%), recall (93%) and f1 score (91%), also indicated the success of the model used in

Abstract :

This paper generally investigates religious texts in many aspects, definition,

ways of translation, and difficulties in translation that may face both translators

and MA students. Yet it particularly focuses on The Holy Quran, its distinction

over other kinds of texts and difficulties translators and/or MA students face

when translating its verses and passages. Translating religious passages literally

(like The Holy Quran) will not give the real meaning , but it depends on the

interpreting ( tafseer ) to make the readers of the translation get the real and

intended meaning. The participants of this study were ten MA students of both

genders.

The results of this study show that translation is not always an easy task,

especially translating religious texts. This type of text is different from all

other types of literature, scientific, technical … etc. Translators have to follow

special translation techniques to produce an accurate translation and be faith to

the original text, never omit words or replace them with words may change

the intended meaning. That is a big challenge faces translators of religious

texts.

Vortex airflow-assisted melt differential electrospinning for preparing superfine fiber yarns was proposed. This method with solvent-free exhibits a higher yield of 20 ± 5.17 m/min compared to the range of 0–5 m/min achieved by solution electrospinning with organic solvents. Simulation and high-speed photography show that the fibers are aggregated by suction airflow and twisted into yarns by vortex airflow. Polylactic acid (PLA) superfine fiber yarns exhibit fine fiber diameters ranging from 0.96 to 5.57 μm, a yarn diameter of 211.7 ± 40.8 μm, and a high tensile strength of 39.4 ± 3.12 MPa. Furthermore, these PLA melt electrospun yarns can be woven into fabric with a water contact angle of 120.1° and triboelectric voltage of 7.41 V, demonstrating their potential in self-cleaning textiles and flexible smart textiles. Moreover, this method is generally applicable to thermoplastic polymers including polyethylene …

We present a solution method for a general Riccati differential equation by imposing relationships between

the coefficients of the Riccati differential equation and explaining them through proofs and examples, we can find the

general solution to the various forms of Riccati's equation by integration directly after transforming it into a separable

differential equation.

This study investigates whether internal auditors in Libyan oil companies possess the necessary competence and capabilities in the security of electronic accounting information systems within an era of transition from manual auditing to electronic accounting information system auditing. The study also examines the issue of whether internal auditors implement sufficient safeguards to address the risks associated with electronic accounting information systems. A questionnaire survey adopted for data collection revealed that: internal auditors in the sampled companies possess a high level of competence and efficiency in electronic accounting information system security; and that they also follow all protective measures to counter the risks of electronic accounting information systems. However, descriptive statistics show that the mean scores of participants' responses regarding the competence and efficiency of internal auditors in electronic accounting information system security were lower than the overall mean of the axis. This could be seen as a deficiency on the part of internal auditors in reviewing risks related to electronic accounting information systems, monitoring management's implementation of regular maintenance of electronic systems, ensuring the existence of sufficient protection programs to scan electronic programs or magnetic disks, implementing procedures to limit risks arising from electronic equipment damage, and periodically evaluating information security applications within the company. Descriptive statistics also indicate that the average scores of participants' responses regarding internal auditors' adherence to all protective measures to counter the risks of electronic accounting information systems were lower than the overall mean of the axis. This could be seen as a deficiency on the part of internal auditors in monitoring IT staff in implementing required security measures, participating in updating security methods according to changes in the evolving IT environment, participating in developing specific security policies such as selecting the appropriate technology and its effectiveness, participating in developing and formulating a strategy for developing the security of electronic accounting information systems, and contributing to the detection of security breaches through reports and describing the type of breach