Migration today is a global problem and is an extraordinary social phenomenon that affects countries around the world. Globalization, demographic shifts, political persecution, wars, armed conflicts, natural and environmental disasters, lack of skills, employment and other reasons in many countries have accelerated global migration rates. It has been observed in recent years that there is a rapid feminization of all forms and stages of migration. Women now make up nearly half of the migrant population around the world, and it appears that women have their own motives for migration in addition to family reunification in escaping Gender discrimination, political violence, and social independence, economic motives and the desire for better opportunities For education or work. They often face many challenges and difficulties; However, gender-responsive solutions to enhance opportunities for them and support their rights are not yet available. The most important objective of the current research was to try to form theoretical ideas about the concept of psychological migration, based on the literature of psychological research on the phenomenon of migration. The researcher reached a theoretical definition of the concept of psychological migration as being a psychological condition that the immigrant suffers from before, during and after migration in the two cases of voluntary or forced migration. But the researcher believes that it will be more severe in the case of forced migration. It results from the conflict between the original and the new worlds of the immigrant person and the consequential positive development and complementarity between these two worlds, or the occurrence of rupture, conflict and inconsistency in his self-identity in the event that he is unable to combine the two worlds, which leads to feeling a set of symptoms, including feeling anxious about separation from the family And about his country in general, and the feeling of a weak connection with reality and the place, or a disturbance in perception of the new place, And the deepening of the gap between him and others, and the individual's reliance on isolation, introversion, alienation, and self-degradation due to his lack of security, belonging, and a host of negative frustrating feelings and multiple and dangerous physical effects. The current research has attempted to place the issue of migration on the table of psychological scientific anatomy, which includes analysis, interpretation and prediction. Although there is a great deal of scholarly and political work on migration, there is still very little research devoted to the holistic theory of migration to systematically guide research in order to build step by step, scientific knowledge of this behavior. The theories and models described in the current study have sought to improve scientific interpretation, understanding, and prediction as they represent a century of world cultural integration, one of the utmost extensive and difficult human problems in the 21st era. Researcher believes that this research will serve as a reference for generating hypotheses that can be tested experimentally and verified according to the main theoretical psychological information that has been put forward to explain the phenomenon of migration in its optional and coercive forms and the most dangerous phenomenon, which is the brain drain or the brain migration, especially with regard to the female component. The research concluded with a set of recommendations and proposals.
Flow-production systems whose pieces are connected in a row may not have maintenance scheduling procedures fixed because problems occur at different times (electricity plants, cement plants, water desalination plants). Contemporary software and artificial intelligence (AI) technologies are used to fulfill the research objectives by developing a predictive maintenance program. The data of the fifth thermal unit of the power station for the electricity of Al Dora/Baghdad are used in this study. Three stages of research were conducted. First, missing data without temporal sequences were processed. The data were filled using time series hour after hour and the times were filled as system working hours, making the volume of the data relativel
... Show MoreMany consumers of electric power have excesses in their electric power consumptions that exceed the permissible limit by the electrical power distribution stations, and then we proposed a validation approach that works intelligently by applying machine learning (ML) technology to teach electrical consumers how to properly consume without wasting energy expended. The validation approach is one of a large combination of intelligent processes related to energy consumption which is called the efficient energy consumption management (EECM) approaches, and it connected with the internet of things (IoT) technology to be linked to Google Firebase Cloud where a utility center used to check whether the consumption of the efficient energy is s
... Show MoreBabesiosis is a tick-borne disease caused by Babesia microti. We present a case of false positive HIV in the setting of confirmed babesiosis infection. An understanding that patients with babesiosis can have a false positive HIV test result is important in management decisions.
Fiber Bragg Grating has many advantages where it can be used as a temperature sensor, pressure sensor or even as a refractive index sensor. Designing each of this fiber Bragg grating sensors should include some requirements. Fiber Bragg grating refractive index sensor is a very important application. In order to increase the sensing ability of fiber Bragg gratings, many methods were followed. In our proposed work, the fiber Bragg grating was written in a D-shaped optical fiber by using a phase mask method with KrFexcimer. The resultant fiber Bragg grating has a high reflectivity 99.99% with a Bragg wavelength of 1551.2 nm as a best result obtained from a phase mask with a grating period of 1057 nm. In this work it was found that the rota
... Show MoreModern statistical techniques offer a range of methodologies for modelling time series data, with conditional and unconditional approaches providing complementary insights that enhance overall model accuracy. This article introduced a modified ARIMA model employing conditional and unconditional parameter estimates. The methodology for the new model based on novel methods is provided. The prediction process, one and two steps ahead, is covered in detail, and a novel algorithm is presented. The best model is picked based on various measurement criteria, such as coefficient of determination (R2), root mean squared error (RMSE), and mean absolute scaled error (MASE). The suggested model is applied to a monthly petrol sales dataset (Jan
... Show MoreIn this paper, we investigate the impact of fear on a food chain mathematical model with prey refuge and harvesting. The prey species reproduces by to the law of logistic growth. The model is adapted from version of the Holling type-II prey-first predator and Lotka-Volterra for first predator-second predator model. The conditions, have been examined that assurance the existence of equilibrium points. Uniqueness and boundedness of the solution of the system have been achieve. The local and global dynamical behaviors are discussed and analyzed. In the end, numerical simulations are confirmed the theoretical results that obtained and to display the effectiveness of varying each parameter
When a vehicle is left parked in the sun for an extended period, the gathered heat causes damage to several interiors within the cabin and causes discomfort for people and animals left inside the car. In the present work, the effect of the orientation of a parked white minibus on temperature distribution and cooling load calculation is studied experimentally in an open environment. Two different cases were studied facing south and facing east. For several hours, the temperature inside the car cabin had been monitored and measured at five separate locations. The cooling load calculations are carried out based on the experimental measurements. The results show that the overheating of parked cars always happens as a result
... Show MoreA political perusal of Initiations in Declaring Middle East a District vacant of mass Destruction weapons
Roller Compacted Concrete is a type of concrete that is environmentally friendly and more economical than traditional concrete. Roller Compacted Concrete is typically used for heavy-duty and specialist constructions, such as hydraulic structures and pavements, because of its coarse surface. The main difference between RCC and conventional concrete mixtures is that RCC has a more significant proportion of fine aggregates that allow compaction and tight packing. In recent years, it has been estimated that several million tons of waste demolished material (WDM) produced each year are directed to landfills worldwide without being recycled for disposal. This review aimed to study the literature about creating a Roller-Comp
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