Migration of the Population of Andalusia to the Maghreb and their Influence on Political, Intellectual and Architectural Aspects7-9h/13-15 Ad

          تعرضت بلاد الأندلس إلى حالة من الاضطرابات خلال القرون 7-9هـ/13-15م، مما ادى إلى هجرة عدد كبير من سكانها نحو بلاد المغرب، وقد انتشروا في سكناهم الجديد في أقسامه الأدنى والاوسط والأقصى، وقد حمل هؤلاء المهاجرين معهم العلوم التي اكتسبوها في بلاد الاندلس إلى بلاد المغرب، مما أدى إلى إحداث تأثير كبير في الوظائف الادارية التي مارسوها سابقاً عند ممارستهم لها في بلادهم الجديدة.             وأهم الوظائف التي انتقلت معهم، هي: الكتابة، الحجابة، القضاء، فضلاً عن ممارسة مهنتي الطب والصيدلة، والتي أفادوا فيها سكان المغرب العربي، لاسيما في عهد بني حفص وعهد بني عبد الواد.The country of Andalusia was in a state of turmoil during the centuries 7-9 / AD 13-15, which led to the migration of a large number of its population towards the country of Morocco, and spread in their new housing in the lower, middle and maximum, and these immigrants carried with them the science they acquired in the country Andalusia to Morocco, which led to a significant impact on the administrative functions they exercised previously in the exercise of them in their new country. The most important posts that I have moved with are: writing, writing, judging, as well as practicing medicine and pharmacy, which benefited the people of the Maghreb, especially in the era of BaniHafs and Ahed Bani Abd al-Wad

Prediction of energy generated from composite cycle power plant in smart cities

In smart cities, it is significant to predict the energy generated from composite cycle power plants, in order to reduction the efforts and to extreme profit from the megawatt hours during the operation, which is consider from the important topics in mechanical engineering. The most significant component of a power plant with a composite cycle is the gas turbine, which generates the entire electrical energy via a fuel and distributes it to homes, schools and other institutions around the cities. In this paper artificial neural networks, regression machine learning with decision tree method is utilized to develop a model that can be able to predictive the estimate of electrical energy output of a composite cycle power plant. The basis load functioning of plant is impacted through four key characteristics, such as surroundings temperature, relative humidity, pressure of atmospheric, and generated steam pressure, which are utilized in the dataset as input variables. These variables have an impact on electrical energy output, which is the desired variable. The input and target variables are included in the dataset, obtained from an open online source. The decision tree algorithm produced the best results, with a mean absolute error of (0.009) and a root mean square error of (0.022)

Intelligent HVAC systems for smart modern building

The modern smart building offers software solution and sensing the surrounding environment. However, this will be allowed management easily for leaders that are providing better control and optimize heating, ventilation, and air conditioning (HVAC)، as well as this is consider from the important topics in mechanical engineering modern application. In this paper, a new intelligent HVAC system is proposed for modern smart building. The proposed system is heavily based on one of the most efficient tools of artificial intelligence which is a support vector machine. This technique will be depended on the data set to detect the HVAC system for any building. In this case, it will save time as well as it has the ability to provide a suitable system without any delay. The HVAC system that proposed in this paper is very important issues in design modern building. According to for training and testing phases for the proposed system, we can easily notice efficiency and effectiveness for the cooling and heating systems

A Study of Wear Rate Epoxy Resin filled with SiO2 particle and Glass fibers

This research is devoted to study the effect of different in weight percentage of Sio2 particles and glass fibers (5, 10, 15, 20) wt. % on the wear rate epoxy resin. The results show that the value of hardness increase with the increase for the weight percentage of reinforcing particles and fibers, while the wear rate decrease with the increase the load level of the reinforcing particles and fibers . The largest value of the hardness, and the lowest value of the wear rate for epoxy reinforced with 20% of SiO2, the wear rate increase in general with increasing the applied load

Sentiment analysis of comments in social media

Social media platforms are witnessing a significant growth in both size and purpose. One specific aspect of social media platforms is sentiment analysis, by which insights into the emotions and feelings of a person can be inferred from their posted text. Research related to sentiment analysis is acquiring substantial interest as it is a promising filed that can improve user experience and provide countless personalized services. Twitter is one of the most popular social media platforms, it has users from different regions with a variety of cultures and languages. It can thus provide valuable information for a diverse and large amount of data to be used to improve decision making. In this paper, the sentiment orientation of the textual features and emoji-based components is studied targeting “Tweets” and comments posted in Arabic on Twitter, during the 2018 world cup event. This study also measures the significance of analyzing texts including or excluding emojis. The data is obtained from thousands of extracted tweets, to find the results of sentiment analysis for texts and emojis separately. Results show that emojis support the sentiment orientation of the texts and that texts or emojis cannot separately provide reliable information as they complement each other to give the intended meaning

A Comparative Study between the Historical Stones of Al-Namrud Monument in Iraq and the Fresh Stones Extracted from its Quarry Using TGA and XRD Analysis

This study implies a characterization and comparison between the historical limestone and gypsum stones of Al-Namrud or (Calah) monument which located in the north of Iraq 37 km to the eastern south of Mosul city (eastern bank of the Tigris river) and those (fresh) extracted from Al-Mur hill which suppose to be its quarry (according to the historicity and archeology references). The aim of this study is the conviction of the veracity of these references depending on a number of complementary engineering techniques. These tests include physicochemical and mineralogical properties of fresh and historical stones , textural arrangement of particles (porosity and pore size distribution) by mercury porosimetry tests; water transfer properties by water retention curve test; bulk density at dry state by hydrostatic weighing method have been executed . Also a comparison between the fresh and historical stones has been carried out by X-Ray Diffraction (XRD) and Thermo Gravimetric Analysis (TGA). Results shows for the historical stone higher porosity and different pore size distribution, water transfer properties in comparison to the fresh stone .Also, a high match in the compositions of stone materials of both historical and fresh one reflect the rightness of the historicity and archeology references and their consideration of being Al-Mur hill the quarry of Al-Namrud monument

A Survey on Deceptive Detection Systems and Technologies

There are many types of indicators that have been proven to be useful clues for deceptive detection techniques, and most of this indicators that have been presented and proven by psychology to be signs of lying. This paper presents a survey of most popular deceptive detection systems. Many techniques for lie detection have been presented by researchers; most of them are reviewed in this paper. This study focus on the algorithms, which are presented in some pervious work, and how the database has been collected for each technique, furthermore explain the adopted cues for each deception detection technique. The accuracy of each proposed technique is included in this paper, then this study shows the advantage and disadvantages for each deception system with the useful and robust cues here

Strengthening the Slope Beneath Bashtapia Castle at the Highest Expected Tigris River Level

This study has been achieved using Geo-Studio Finite Element Software in two sections. First, to study the changes in pore water pressure (PWP) within the soil layers below Bashtapia Castle at different water levels of the river Tigris. The effect of these changes was in focus to check the slope stability of the Castle. On the other hand, the second section was to increase the safety factor using slope reinforcement using different spacings and lengths of the anchor’s rods. Modeling output showed that the factor of safety (FS) decreased from 2.83 to 0.838 when the water level raised from 0 to 7 m above the bottom slope layer. Accordingly, anchor bars were introduced in the model, and the safety factor increased. The slope layers were treated and strengthened using reinforcing anchor bars at different lengths and numbers. In general, the analysis results showed the positive effect of reinforcing bars on the stability of the castle slope. The FS of the slope castle increases with the increased length and number of anchors to a certain value, and then there is no effect of this increase on the FS value

Case-control retrospective study on cardiovascular disease risk and quality of life among Malay adults

In recent years, cardiovascular disease (CVD) has become the top cause of mortality, morbidity, and hospitalization in Malaysia. This study aimed to identify the most significant CVD risk factor and protective factor among Malay adults in Kuala Terengganu, as well as to compare the quality of life between case and control groups. A case-control study via self-administered questionnaire was carried out among 130 respondents aged 23 to 56 years in Universiti Malaysia Terengganu (UMT) and Nursing College Kuala Terengganu to compare past exposure (retrospective) between case and control groups to CVD risk. In the present study, 68 of them were in a case group with high blood cholesterol (total cholesterol [TC] > 5.18 mmol/L), while the other 62 were in a control group with the normal range of blood cholesterol (total cholesterol [TC] < 5.18 mmol/L). Purposive sampling was first applied to select the respondents in Kuala Terengganu. Then, consecutive sampling and quota sampling were performed in the study locations to recruit respondents, considering the type of respondents (case or control group) as a factor. The data were analysed using Independent-Samples t-test, Mann-Whitney U test, Chi-Square test and odds ratio (OR). The findings show no significant differences (p > 0.05) between the two groups in terms of CVD risk factors. However, by comparing the food frequency consumption scores, their fish consumption levels were found to be significantly different (p = 0.010). The control group had higher consumption (with a score of 60.8) compared to the case group (with a score of 50.8). Overweight or obesity was the only significant risk factor (OR: 2.13, 95% confidence interval [CI]: 1.06 to 4.29), while the only significant protective factor was the absence of any chronic diseases (OR: 0.00, 95% CI: 0.00 to 0.03), which were found to be associated with CVD, such as hypertension, diabetes mellitus and stroke. Furthermore, the quality of life of the control group was higher than that of the case group, but this difference was not significant (p > 0.05). Overweight or obesity is a major risk factor of CVD, while the absence of any chronic diseases is a major protector factor

Utilization of Eco-Friendly Construction and Demolition Waste Materials in Soil Improvement

This study comprehensively assesses using Concrete Waste (CW) and Rubber tire Fly Ash (RFA) eco-recycled materials to enhance the mechanical characteristics of cohesive soil obtained from Al-Araby district in Mosul city/Iraq. These materials are added by 3, 6, 9% CW and 6, 12, 18, and 24% of RFA of soil dry weight and passed sieve (No.40), in addition to adding 3, 6, and 9% cement as an activator to soil-RFA mixture. Several techniques have been used, such as mercury intrusion porosimeter, X-ray diffraction, unconfined compressive strength, water retention ability, and axial sample compressibility. In addition, curing period effects on soil-soil-eco-recycled mixtures have been evaluated. Results showed that 18% RFA had been concluded to be the optimal percentage. Also, adding eco-recycled materials exhibited an alteration in soil pore structure distribution from meso to micro-meso pore size for CW and to predominantly micropore size for RFA, and modifying the treated soil compressive strength properties. At the same time, varied effect on maximum dry density has been observed between the development in CW addition and decrement in RFA, accompanied by decrement in soil compressibility and water retained ability for both eco-recycled materials. Also, a 5.5% cement activator addition to the soil-RFA mixture was the optimum cement activator percentage. The curing period tests of soil treated with (CW) and soil-18%RFA-5.5% cement activator reflected cement’s continuous pozzolanic reaction ability in concrete waste additive and cement activator, respectively