يتناول البحث مسؤولية منتسبي قوى الامن الداخلي عن اعمالهم الشخصية

The Dynamic Load Factor (DLF) is defined as the ratio between the maximum dynamic and static responses in terms of stress, strain, deflection, reaction, etc. DLF adopted by different design codes is based on parameters such as bridge span length, traffic load models, and bridge natural frequency. During the last decades, a lot of researches have been made to study the DLF of simply supported bridges due to vehicle loading. On the other hand, fewer works have been reported on continuous bridges especially with skew supports. This paper focuses on the investigation of the DLF for a highly skewed steel I-girder bridge, namely the US13 Bridge in Delaware State, USA. Field testing under various load passes of a weighed load vehicle was u

Finding the shortest route in wireless mesh networks is an important aspect. Many techniques are used to solve this problem like dynamic programming, evolutionary algorithms, weighted-sum techniques, and others. In this paper, we use dynamic programming techniques to find the shortest path in wireless mesh networks due to their generality, reduction of complexity and facilitation of numerical computation, simplicity in incorporating constraints, and their onformity to the stochastic nature of some problems. The routing problem is a multi-objective optimization problem with some constraints such as path capacity and end-to-end delay. Single-constraint routing problems and solutions using Dijkstra, Bellman-Ford, and Floyd-Warshall algorith

Aims: The present study aims at assessing mothers’ knowledge of breastfeeding in Kirkuk governorate,
besides determining the relationship between mothers’ knowledge and some of their demographic
attributes.
Methodolgy: A descriptive study was used the assessment approach and applied on mothers in Kirkuk
governorate from January 15th 2011 to July 25th
, 2011. Non-probability sampling a convenience sample of
(72) mothers, attending pediatric general hospital in Kirkuk governorate for following up the health status
of their children, was selected for the purpose of the study. A questionnaire was developed for the
purpose of the study. It was comprised of two parts; the first part includes the mothers' demographic

Background: The undergraduate students in pharmacy colleges represent a well-educated group of thecommunity according to the use of drugs and they are required to hold the appropriate knowledge of druguse and have positive attitudes toward health problems, this good knowledge about the diseases and theirtreatment will give good pharmacists in the future and this will reflect positively on patient knowledge, andtheir compliance with treatment, this due to direct contact of pharmacists with the patients.Aim: To know the knowledge, Awareness and Attitude of a sample of Iraqi pharmacy students towardsepilepsy.Method: Cross-sectional study used a structured questionnaire validated by previous studies to collectdata about knowledge, Aware

This study aims at identifying the correlation between digital transformation and knowledge building in educational institutions, as well as finding the influence relationship between digital transformation and knowledge building in educational institutions and knowing the dimensions of digital transformation that have the most impact in improving the level of knowledge building, and by adopting the methodological descriptive analysis method in the Ministry of Education. Education and educational institutions in Baghdad. This research deals with digital transformation as an independent variable according to two dimensions (digital adaptability and digital readiness). Knowledge building was adopted as an approved variable using the s

To achieve the objectives of the study, a non –probability (purposive) sample of (50) nurses were selected those were working at the oncology wards at the above listed hospitals. The data selected according to the criteria of the study sample. The validity of the questionnaire was determined through an expert panel consists of (11) specialist expert and its reliability was determined through a pilot study by test – retest which was estimated as averages (R=0.89). Data was collected by direct interview technique using the questionnaire formal and data was analyzed by application of descriptive & inferential statistical methods (frequency, percentage, mean of score and Chi-Square). The resul

With the continuous downscaling of semiconductor processes, the growing power density and thermal issues in multicore processors become more and more challenging, thus reliable dynamic thermal management (DTM) is required to prevent severe challenges in system performance. The accuracy of the thermal profile, delivered to the DTM manager, plays a critical role in the efficiency and reliability of DTM, different sources of noise and variations in deep submicron (DSM) technologies severely affecting the thermal data that can lead to significant degradation of DTM performance. In this article, we propose a novel fault-tolerance scheme exploiting approximate computing to mitigate the DSM effects on DTM efficiency. Approximate computing in hardw