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.

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

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.

Key words: Quran translation, religious texts, ambiguity

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..