The significance of interpretation for linguists varied , and its methods varied between appreciations, deletion, understanding the meaning

ان العقد – في تكوينه – عبارة عن اتفاق ارادتين من اجل احداث اثر قانوني معين ، بيد ان العقد نفسه – في آثاره – يخضع لمجموع الالتزامات التي تشكلت طبقاً لما انصرفت اليه ارادة طرفيه ، فضلاً عمّا تيسّر من احكام اخرى فرضها المشرع او العرف او العدالة او مبادئ حسن النية .

מבוא
אין איזה סוג מן הספק ש החוקרים התמזג ו בתאריכי החברות הישנות מצדדים שונים ,
פוליטיים, חברתיים או מחשבתיים. שהספרות נחשב ת אחת תעודותיה של הידיעה
החשובות ביותר שתאפשר להישען עליה ולשאוב את הידיעות ליצירות הגנוז ות בחברה
מהחברות שיהיה קשה לפעמים רבים לדעת אות ן מתוך מקורותיה של הידיעה לפי
הכתיבות הפוליטיות,החברתיות,פולסופיות וכ.... (1)
הסופר הוא צורתה של החברה , הנושאים שלו הם הבעות והרגשות עצמיות ו

This paper is an applied study of the temporal meaning of structure, to assess the strength of time-dependent expressions as a framework for the action or verb

Prophecy in general, and Muhammadism in particular, can not seem to go away from life, or lag behind it, because it was originally for reform. It can not succeed in achieving this reform. It has grown away from it, and its conditions have not caused it to vary and diversify. These conditions, from its origin to its tranquility, its stillness and its movements, are based on a wise divine workmanship and a strict divine planning that suits the performance of this personality

This study presents the debonding propagation in single NiTi wire shape memory alloy into linear low-density polyethylene matrix composite the study of using the pull-out test. The aim of this study is to investigate the pull-out tests to check the interfacial strength of the polymer composite in two cases, with activation NiTinol wire and without activation. In this study, shape memory alloy NiTinol wire 2 mm diameter and linear fully annealed straight shape were used. The study involved experimental and finite element analysis and eventually comparison between them. This pull-out test is considered a substantial test because its results have a relation with behavior of smart composite materials. The pull-out test was carried out by a u

Simultaneous determination of Furosemide, Carbamazepine, Diazepam, and Carvedilol in bulk and pharmaceutical formulation using the partial least squares regression (PLS-1 and PLS-2) is described in this study. The two methods were successfully applied to estimate the four drugs in their quaternary mixture using UV spectral data of 84synthetic mixtures in the range of 200-350nm with the intervals Δλ=0.5nm. The linear concentration range were 1-20 μg.mL-1 for all, with correlation coefficient (R2) and root mean squares error for the calibration (RMSE) for FURO, CARB, DIAZ, and CARV were 0.9996, 0.9998, 0.9997, 0.9997, and 0.1128, 0.1292, 0.1868,0.1562 respectively for PLS-1, and for PLS-2 were 0.9995, 0.9999, 0.9997, 0.9998, and 0.1127, 0.

The present work reports the performance of three types of polyethersulfone (PES) membrane in the removal of highly polluting and toxic lead Pb2+ and cadmium Cd2+ ions from a single salt. This study investigated the effect of operating variables, including pH, types of PES membrane, and feed concentration, on the separation process. The transport parameters and mass transfer coefficient (k) of the membranes were estimated using the combined film theory-solution-diffusion (CFSD), combined film theory-Spiegler-Kedem (CFSK), and combined film theory-finely-porous (CFFP) membrane transport models. Various parameters were used to estimate the enrichment factors, concentration polarization modulus, and Péclet number. The pH values signif

Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F