AL-MANSOUR JOURNAL

Because there has not been much research done on the Arabic language which is thought to be more challenging than other languages due to it has multiple cases and forms for a single letter—there is still interest in developing a system to verification the writer\'s identity by he/she handwritting. These systems are thought to be essential in resolving complex legal issues involving security agencies and other issues.The foundation of our novel approach is the integration of a Harris corner detector with a Convolutional Neural Network (CNN).We also introduce a data augmentation algorithm to enhance the quality of the data. We tackle several problems related to this point by suggesting a method that can identify handwritten Arabic texts without the need to separate the characters,words to lines and by using upsampling to make the handwritten area of the image larger and more readable and this model work in offline mode with value 99.66% on the KHATT dataset.

The research aims to study the impact of workers\' participation in decision-making on the organizational creativity of the University of Baghdad, where the study was applied to a random sample of (384) Discussed, relied on descriptive analysis and standard analysis using the linear regression model to study the impact of workers\' participation on organizational creativity and reached several findings, the most important of which is that the University still does not give lower departments substantial decision-making powers; Participatory thinking in decision-making remains limited and the University\'s levels of organizational creativity are moderate. The results of the linear regression analysis also showed a strong correlation and high moral impact that reached 82% between the involvement of workers in decision-making and organizational creativity at the university. The study recommended that the University should give greater attention to lower-level departments with some capabilities that have creative and innovative thinking and are capable of developing the University\'s performance, Enhancing channels of communication and participation between different departments and their employees and the need to promote and motivate those with creative and innovative ideas and entrepreneurs to promote participatory thinking in decision-making that would stimulate a qualitative shift in the University\'s performance due to its wide impact on both the staff and the departments at all levels.

هدف البحث بشكل أساسي لتحديد دور وعلاقة التسويق المستنير في تحسين تجربة الزبائن في الشركات العراقية، عبر إجراء مقابلات مع العديد من الزبائن، فضلاً عن عدد من عاملي المستويات الإدارية المختلفة لاستكشاف آرائهم حول قيمة التسويق المستنير في تجربة الزبائن، باستخدام الأساليب الوصفية والتحليلية، من خلال إعداد استبيان وتوزيعه على عينة الدراسة، والذي تكون من عينة مختارة من الموظفين والزبائن لعينة من الشركات العراقية. تم استخدام التوزيع العشوائي البسيط لتمثيل نوع البحث الذي ضم 200 مشارك من هذه المؤسسات والذين تم اختيارهم لاستكمال الاستبيان. وبعد دراسة البيانات والفرضيات توصل الباحث إلى وجود علاقة مباشرة ومعنوية بين التسويق المستنير وتجربة الزبائن. كما بينت النتائج أن لمتغير الجنس أثر ذو دلالة إحصائية معنوية على التابع الكمي تجربة الزبون، بالمقابل لم تظهر اختلافات ذات دلالة إحصائية معنوية فيما يتعلق بتجربة الزبون بسبب متغيرات العمر، والمستوى التعليمي، والدخل. اضافة إلى ذلك تبين وجود فروقات ذات دلالة معنوية لإجابات العينة حول تطبيق التسويق المستنير تعزى الى (الزبون، العاملين) بمتوسط بلغ 3.9 و 3.31 لكل منهما على التوالي.

This study focuses on the use of artificial intelligence (AI) in information and libraries, highlighting recent trends in this field and the role of statistical processing. The study aims to improve information management and retrieval by applying AI techniques for content analysis, classification, and personalized recommendations for users.
Libraries and information sources pose a significant challenge for users in finding relevant information due to the vast amount and complexity of data. By employing AI techniques, the search process and information filtering can be enhanced through automated analysis and classification of content, thereby improving the user experience and increasing operational efficiency. Statistical processing plays a crucial role in this context, as it enables data analysis, pattern recognition, and trend identification. The integration of AI with statistical processing enhances the quality of analysis and the accuracy of extracted results. However, this field faces several challenges. For instance, fully leveraging AI and statistical processing requires a considerable amount of high-quality data. Advanced machine learning models need to be developed to analyze and classify diverse and complex content effectively. Additionally, addressing data security and privacy issues related to sensitive data is essential to ensure its integrity and confidential use.as a result, exploring recent trends in the use of AI in information and libraries and the role of statistical processing requires a focus on developing and improving analysis and classification techniques, as well as providing suitable infrastructure to effectively and reliably handle the growing volume of data. The research aims to achieve advancements in information management and retrieval using AI techniques and statistical processing in the context of information and libraries.

The aim of our work is review of modules and bounded linear operators (B.L.O). Assume that V is a vector space (v.s.) over a field F. Put T is a linear operator. Put R=F[x] is the ring of polynomials in x with coefficients in F. Define ∅:R×V⟶V by ∅(P,v)=P(T)v=P.v ..That ∅ makes V a left R-module denoted V_T. The generalization of this concept have been introduced, put V is a normed space over a field F, put T is a B. L. O. , and assume that R=F[x,y] is the ring of polynomials in x,y with coefficients in F. Define Ψ:R×V→V by Ψ(P,v)=P.v=P(T,T^* )v . 〖 V〗_(T,T^* ) is module. Some properties of thes concepts have been studied.

Speech is one of the most natural forms of expression. As technology advances, the interaction between humans and machines is becoming more sophisticated. Research has shown that emotions can be detected not only through facial expressions but also through sounds. Like facial features, auditory characteristics such as pitch and intensity can provide valuable information about a person\'s emotional state. Studies suggest that it is possible to build intelligent systems that recognize individuals\' emotional states through their voices, distinguishing between anger, sadness, happiness, fear, normal state, and others. These systems can be used in various applications such as driver safety systems and customer service systems. In this study, we aim to apply emotion recognition systems in the sports field. The developed system called CHOOSE_TEST that tests the emotional state of CHOOSE players before they play a tournament to determine their psychological stability, Negative feelings such as sadness and anger will be referred to as an ABNORMAL psychological state, and positive feelings such as feelings of joy and natural will be referred to as NORMAL psychological state. The system detects the player\'s psychological state through sound and its features. We built two models for this system: DL_CHOOSE model based on CNN and ML_CHOOSE model based on pre-trained (ResNet50) and transfer learning concepts. The system has an accuracy rate of 97% using CNN and 87% using ResNet50 for discrimination purposes.

Image transmission can be secured effectively, ensuring confidentiality, integrity, and authenticity of the transmitted image data by applying encryption process. IoT systems required lightweight method to satisfy the limitation in the resources. In this paper a hybrid lightweight encryption method that combining SPECK and RC5 algorithms is proposed with a method for self key establishing. The essential to implement secure key management practices and use robust transmission protocols to mitigate security risks and vulnerabilities. Security and speed have been achieved to encryption/decryption color images of different sizes and different kernels based on the number of kernels selected. It is carried out in four rounds, where the output of one of the two algorithms is RC5 Input for the present algorithm is executed four rounds, the outputs of the present algorithm are swapped with the outputs of the second algorithm, RC5, and merge them to obtain the final encryption output. The keys of these algorithms are generated using the Six-dimensional chaos system equation.

Since the twentieth century, dystopian novels have regularly examined the association between mankind and surveillance. With the advance of technology, especially after the industrial revolution, technological devices were highly employed in surveillance. Surveillance is inherently political as various governmental institutions (agencies) use it to create docile, conformed bodies in order to enhance and sustain their control over individuals. This article attempts to examine the representation of surveillance and totalitarian societies in the dystopian novel 1984. Through this novel, George Orwell takes each of the anti-utopian characteristics to its extreme to be a debatable topic in literary and social theories for centuries. The totalitarian government in the novel exerts ultimate control over citizens, both mentally and physically through comprehensive and covert surveillance. Panopticism, a theory proposed by Jeremy Bentham and developed by Michel Foucault, is used to examine Orwell's work. to demonstrate how the party's surveillance methods are similar to the Panoptic prison's surveillance system. The main objective of this article is to show how certain elements of Panopticism are able to deconstruct the idea of privacy in George Orwell's 1984 and how internalized surveillance can influence society in general and the psyche of each individual in particular.

This study\'s objective is to investigate the behavior of concrete-encased castellated steel sections with varying pore sizes. There two different types of Shear Stud Interactions: Partial (P) and Full (F). When shear connectors with F are used, stud connections combine the concrete and steel components. Four Composite beams that are simply supported were tested in settings of two-point loading. By encasing concrete in castellated steel beams, four instances were produced. The maximum pressure support capability of the structures was evaluated. Castellated beams are among the many features that are assessed when two different kinds of contact occur. in keeping with the test\'s findings. The F interaction that the sample experienced when utilizing caused the final load percentages to rise by around 6.4%. The percentages of mid-deflection and horizontal displacement are reduced as well by 10% and 6.7%, respectively, as compared to the same sample when P interaction is used. Furthermore, at complete interaction, the sample with the same aperture showed a larger final load.

Victorian Poetry thematically impresses on our minds its preoccupation with the obsessive and challenging reality of death. As it is, two Victorian Poems single out themselves as insistently dwelling on this thematic concern: Tennyson’s ‘’Crossing the Bar’’ and Browning’s ‘’Prospice’’. In ‘’Crossing the Bar’’, Tennyson, who seems to have a reconciliatory attitude towards death, sees it as a reassuring, natural and peaceful event. The poem is far from being sad. It vividly describes the poet meditating over his own death. In ‘’Prospice’’, Browning talks with his head held high as he intends to be reunited with his ‘’soulmate’’, his dead wife. Clearly, his attitude towards death is that of anticipation and of, almost, defiance.
It is important to see, after all, that the alarming theme of the two poems is channeled to address a disengaging reality that concerns us all.

The research aims to identify the effect of altruistic behavior in strengthening employees’ ties with the organization in the Baghdad Municipality, as the problem is embodied in the following main question: What is the effect of altruistic behavior in strengthening employees’ ties with the organization in the organization under investigation? The importance of research is highlighted in enhancing the feeling of ties with the organization among employees. Employees in the Baghdad Municipality through interest in practicing altruistic behavior. The research adopted the descriptive analytical approach, by surveying the opinions of employees in the Baghdad Municipality regarding the level of interest in the two research variables and analyzing these opinions. (350) questionnaires were distributed, distributed electronically via the (Google Form) program. In addition to distributing part of it directly to some employees who do not have the ability to answer it electronically, the collected data was processed and the research hypotheses were tested by applying a number of statistical methods, including (Cronbach’s alpha, arithmetic mean, standard deviation, Spearman correlation coefficient, and simple linear regression), using the statistical analysis program (SPSS Ver-24). The research reached a set of conclusions, the most prominent of which is the existence of a correlation as well as the effect of altruistic behavior in strengthening employees’ ties with the organization. The research concluded with recommendations, including the need for the senior management of the Municipality of Baghdad to discuss and encourage employees. To adopt the practice of altruistic behavior, which will contribute significantly to strengthening employee ties with the organization.

the relationship between return and risk is one of the most important elements that an organization should consider while making investment or planning decisions. In a changing business environment, achieving future returns is the primary goal of any organization, while controlling potential risks is the main challenge. Levels of return and risk vary from organization to organization and depend on the nature of the industry and the needs of the individual organization. The questionnaire
Data collection: About the organization in which the questionnaire is distributed to workers in the production department, and the random sample from the community is (100), and the random sample that was used was (45) from the sample. This data was distributed in the questionnaire.

Data analysis: Using statistical methods to analyze data according to the questionnaire. The first section - (scientific research methodology), the second section (theoretical framework), and the third section (for the practical aspect and presentation and analysis of the results) (and the fourth section - conclusions, recommendations and proposals.).

In this research, the multi-period probabilistic inventory model will be applied to the stores of raw materials used in the leather industry at the General Company for Leather Industries. The raw materials are:
Natural leather includes cowhide, whether imported or local, buffalo leather, lamb leather, goat skin, chamois (raw materials made from natural leather), polished leather (raw materials made from natural leather), artificial leather (skai), supplements which include: (cuffs - Clocks - hands - pockets), and threads.
This model was built after testing and determining the distribution of demand during the supply period (waiting period) for each material and completely independently from the rest of the materials, as none of the above materials is affected by the other in the supply process. This testing was done using the statistical package program, and then the optimal order quantity that was requested in each batch and for each item is determined, which is known as the optimal economic size of the order, and the reorder point was determined for each item. After that, the total storage costs were compared between the method used in managing stores in this factory and the model that was built, as the cost of using the probabilistic model was less than the method used by the company in managing the demand.

The current study attempts a multimodal discourse analysis of selected visual poems in the book “Five Oceans in a Teaspoon” written by Dennis Bernstein and visualized by Warren Lehrer. This book is seen as a reflection of everyday struggles and how to survive in the face of diversity. It is a memoir representing the struggles, love, pain, and loss in the writer’s life journey. The present study aims to help the audience interpret visual poems and the hidden cognitive background in these poems. Also, the study seeks to show how multimodal discourse analysis represents everyday problems and struggles visually and linguistically. The adopted analysis of the selected poems is a multimodal discourse analysis following Forcville's (2016) approach to interpreting the visualized poems and the interpretation of the cognitive background that represents hidden ideologies. To sum up, using multimodal metaphors helps reinforce the understanding of psychological and social stereotypes in society.

This research article meticulously examines the persuasive language strategies and techniques employed in political speeches in both the United States of America (USA) and the Middle East region. By analyzing a diverse array of speeches delivered by prominent political figures, this study identifies key elements of rhetoric, narrative, and linguistics that characterize political discourse in these distinct regions. The analysis reveals both differences and similarities in the use of persuasive language, reflecting the unique cultural, historical, and political contexts that shape each region's political communication. In the realm of politics, the power of words cannot be underestimated. Political leaders harness the art of persuasive language to sway opinions, inspire action, and rally support for their causes. From stirring speeches that ignite passion to carefully crafted rhetoric that appeals to reason, the use of persuasive language strategies and techniques plays a pivotal role in shaping public perception and driving political agendas forward. In the USA, political rhetoric is often characterized by its emphasis on individualism, freedom, and democratic values. American political figures frequently invoke the nation's founding principles, historical narratives, and collective identity to rally support and foster a sense of national unity. Techniques such as storytelling, metaphors, and inclusive language are commonly utilized to engage and persuade audiences. Conversely, political rhetoric in the Middle East is deeply influenced by a rich tapestry of cultural, religious, and historical references. Leaders in this region often draw on religious texts, historical narratives, and cultural symbols to resonate with their audiences. Poetic language, repetition, and rhetorical questions are prevalent techniques in Middle Eastern political speeches, reflecting a tradition of oratory that values eloquence and emotional resonance.

By comparing and contrasting these rhetorical approaches, this study aims to uncover the underlying factors that influence political communication in these regions. Understanding these differences and similarities can provide valuable insights into the dynamics of political discourse and the role of language in shaping public opinion. This research underscores the indispensable role of persuasive language in politics, highlighting its power to mobilize the masses, influence public perception, and shape the course of history.