Artificial Intelligence in Education (AIEd) is an emerging education field. This Research Paper explicitly investigates the use of AI technology in language learning specifically in English as a Second Language (ESL). In recent years, the integration of Artificial Intelligence (AI) into our lives is becoming stronger, which can be seen in many areas, such as education. This has led to a revolution in teaching methods across different disciplines, particularly in the teaching of English as a Foreign Language (EFL), where it provides useful tools for teachers. The intersection between AI and FL represents a paradigm shift in educational practice, due to its ability to personalize learning experiences, provide instant feedback, and tailor to individual student needs Therefore, the main goal of this report is to analyze the uses of AI tools in EFL, and to propose concrete and suitable AI tools to enhance the teaching-learning process.

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..

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.

1. Abstract: Albumin is the main protein found in the blood, and is the most abundant protein. It is manufactured in the liver and is a major factor in preventing blood fluids from leaking from the blood vessels to the body's tissues, as well as a link to vital compounds in the bloodstream and transporting them to the body's organs. However, a deficiency in the level of albumin in the bloodstream leads to increased permeability of the blood vessels, which leads to inflammation in the body and chronic liver disease or chronic kidney failure and some other diseases, and results in symptoms, the most important of which are swelling in the feet and face. This study was conducted to compare the deficiency of protein albumin in the blood by conducting a serum albumin analysis at Gharyan Central Hospital. This study included 90 cases divided into 30 cases with kidney failure, 30 cases with diabetes, and 30 healthy cases (control group), with ages ranging from 18 years to 80 years in the period from 3/2/2020 to 12/1/2021. The results obtained were compared using statistical methods, which showed through P-values that there is a weak direct relationship between age and albumin levels in people with kidney failure and healthy people (albumin levels increase with age), and also a weak inverse relationship between age and albumin levels in diabetes (albumin levels decrease with age). The results also showed significant differences, meaning that there is a difference between the average albumin levels in the three groups (kidney failure, diabetes, healthy people) by comparing the results obtained with the reference values, as it was found that the albumin levels in kidney failure were all at the reference value, while in diabetic patients and the healthy group, most of the readings were at the reference value for albumin.

Abstract

As technological advancements continue to revolutionize teaching, the use of technology in both college/university and classrooms is making flipped learning a trending instructional model. The roles and responsibilities of instructors and students often require a new or enhanced skill set where the instructor designs intentional learning experiences to engage students outside of the classroom. This research was conducted to investigate the effectiveness of flipped learning strategy to overcome the educational communication problems. Also, it has been explained the definition of the flipped classroom and its impact on course evaluations and student outcomes. Besides, it has been discussed the comparison between the flipped learning strategy and the traditional way of teaching. As well, it has been explained some advantages and disadvantages of the flipped classroom. Above and beyond, it has been mentioned the most important critiques against the flipped leaning. More to the point, it has been shown some steps to implement the flipped classroom strategy. As well as, it has been presented some reasons of why should be flipped our classrooms. Ultimately, some important recommendations have been given to guarantee an effective learning in the education process.

Key words:  flipped classrooms, flipped learning, higher education, technological advancement, effective flipping ,

Abstract The aim of this study was to estimate the levels of TNF-α in serum and gingival crevicular fluid, in patients with chronic periodontitis (CP), before and after phase I therapy with subgingival delivery of Hyaluronic acid (Gengigel Gel). A total of thirty subjects were included in this study; 20 CP patients as a study group (group I) and 10 systemically healthy subjects with clinically healthy gingiva as a control group (group II). The nonsurgical periodontal therapy (SRP) + HA gel were done in group I. Periodontal parameters, including PI, GI, BOP, PD and the CAL, were recorded. GCF and serum were collected from all individuals included in the study; the first sample was collected from all groups (study and control) before treatment. The second sample was collected 4 weeks after subgingival delivery of Hyaluronic acid & phase I therapy from group I. Levels of TNF-α in GCF and serum were quantified using ELISA. The results showed a statistically significant reduction in total levels of TNF-α in serum and TNF-α in GCF in study group after application of Hyaluronic acid with phase I therapy. Results also showed all clinical parameters were significantly improved after application of Hyaluronic acid with phase I therapy in groups I (p<0.001). Scaling and root planing (SRP) is the mainstay of treatment of periodontal diseases, furthermore subgingival application of Hyaluronic acid gel with SRP were effective in improving clinical parameters in CP patients. TNF-α level in serum and GCF are reduced after phase I therapy with application of Hyaluronic acid.

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 …