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deep Learning for Arabic Handwriting Recognition System
Automated handwriting recognition is a crucial element in numerous applications across diverse fields. This problem has been the subject of significant investigation during the past three decades because to its complex nature. Research has mostly concentrated on the identification and interpretation of handwritten text in Latin languages. There is a scarcity of research conducted on the Arabic language. Therefore, it is crucial to build Children's Arabic handwriting recognition software and apps. In this study, we offer three models for the recognition of children's Arabic handwriting using deep learning. In this paper, an ensemble learning is employed for the Recognition Arabic handwriting, the proposed ensemble learning combined three model, the first with three convolution layer and the second with four convolution layer and the third model is CNN using BI LSTM. Hijja, a recent collection of handwritten Arabic by children that was gathered in Saudi Arabia, is used in training process. The most relevant work achieves less accuracy from our models for the same data sets. The three models achieve accuracies 87,88, and 89, when they work independently. The performance enhanced by use the ensemble and soft voting that increases the accuracy up to 92% which better than some works selected from the literature.
Real-time People Counting with Deep Learning: A Solution for Crowd Management
Crowd management plays a vital role in ensuring safety, efficiency, and resource optimization in environments such as public events, transportation hubs, shop-ping malls, and workplaces. Traditional people counting methods, including manual observations and sensor-based approaches, often suffer from limitations in accuracy, scalability, and adaptability to dynamic conditions. This research pre-sent a real-time people counting system utilizing deep learning techniques, specifically the YOLO (You Only Look Once) object detection framework. The proposed system processes video streams to accurately detect and count individuals, offering a robust and automated solution for crowd analysis. By leveraging YOLO’s high-speed processing and accuracy, the system effectively identifies people within complex and varying environments, addressing challenges such as occlusions, lighting variations, and high-density crowds. Experimental evaluations demonstrate the system's strong performance, achieving an accuracy of 95% in static environments and 87% in dynamic conditions. These results highlight the model’s reliability, efficiency, and potential applications in real-time crowd monitoring, security surveillance, and urban planning. Future improvements include integrating advanced tracking algorithms and multi-camera setups to enhance detection accuracy and consistency across different perspectives. This research un-derscores the transformative potential of deep learning in crowd management, paving the way for smarter, safer, and more responsive public spaces.
Exploring Authentication Techniques: A Comprehensive Review
E-commerce represented one of various new technologies that triggered with development of the internet. This causes the security aspect of e-commerce to be one of important factors, especially to prevent unwanted things such as data leaks and financial losses. Authentication is a critical aspect of securing digital systems and protecting user data. This paper reviews and compared three primary authentication methods: single factor authentication (SFA), two-factor authentication(2FA), and multi-factor authentication (MFA). SFA, the simplest method, relies on a single layer of security, such as passwords or PINs, but is highly vulnerable to modern cyber threats. 2FA enhanced security by combining two distinct factors, such as a password and One-time password (OTP), reducing the risks of credential theft. MFA further strengthens authentication by incorporating multiple layers, including biometric and contextual elements, making it the most secure approach but also the most complex and resource intensive. The discussion highlights the trade-offs between these methods in terms of security, usability, scalability, cost, and risk mitigation. While SFA may suffice for low-risk applications, MFA is essential for environments requiring robust security. The study conclude that the choice of authentication method should depend on a specific use case, balancing security needs with user convenience and organization resources.
Design of a Secure and Accurate Deep Learning-Based Medical System for Stroke Detection
Stroke is one of the most serious medical conditions that requires rapid and accurate diagnosis to avoid its fatal complications. The use of Deep Learning (DL) techniques contributes to enhancing the accuracy of detecting strokes in their early stages, enabling faster medical intervention and reducing long-term damage. In addition to early stroke detection, maintaining the confidentiality of patient information is vital to ensuring trust and protecting sensitive data. DL techniques also help detect unauthorized access or manipulation of patient data, enhancing digital security and ensuring compliance with healthcare privacy standards. In this paper, a precise and safe DL-based medical system for the detection of strokes is proposed. The design includes two stages. First, propose a high-accuracy DL learning algorithm to detect Stroke, which is achieved through a hybrid CNN-LSTM algorithm. The second stage is represented by maintaining the security of the proposed medical system by suggesting an efficient DL algorithm, which is attained using a lightweight Shallow Deep Neural Network (SDNN) algorithm. The performance evaluation of the two former stages, accuracy, security, and memory footprint, has been achieved. The simulation results demonstrate that the proposed hybrid CNN-LSTM algorithm achieves superior performance in stroke detection, reaching an accuracy of up to 99.6 percent when evaluated on the AHA stroke dataset. This performance surpasses that of standalone CNN and LSTM models. In terms of cybersecurity, the SzDNN algorithm also proves effective, maintaining a high detection rate of up to 96.8 percent using the NSL-KDD dataset. These findings highlight the model's strength in both accurate medical diagnostics and reliable network threat detection.
Mother’s Love as Impediment to the Sons’ Emotional Development in Sons and Lovers
This paper intends to explore mother’s extravagant love which negatively shapes the son’s emotional responses and, consequently, diverts his emotional development from its fulfilling normal course. In exposing this governing idea of possessive love which deplorably informs the human predicament in Sons and Lovers and, which organises the narrative text, Lawrence recognises that which eventually encourage human emancipation. It is true that Lawrence has not yet discovered his technique in Sons and Lovers in the way Schorer argues for [1] - he frequently falls on colourful depiction of setting, on natural phenomena to reveal psychic states, on earnest qualifications that verge on preaching … etc. - but it is equally true that he has been thematically and creatively aware of that which distorts human life and makes man impotent. The rejection of negative states such as dependence, possessiveness, rationalism etc, Lawrence argues, will realise that rhythm of life which makes man wholesome.
Honey Encryption Techniques: Strengths, Limitations, and Challenges
Currently, information security is a difficult issue due to growing information capacity and transmission procedures. One encryption method that can provide security above and beyond the brute-force limit is honey encryption (HE). Ultimately, HE becomes a part of everyday systems. Most researchers use improved encryption and decryption for HE schemes to improve information security domains since traditional HE has several drawbacks. An overview of current developments in the Honey Encryption scheme will be provided in this article. HE's drawbacks and difficulties are outlined and examined. Specific of the solutions suggested have been introduced.
The Role of Tissue Immune Dysregulation in Cancer and Systemic Diseases
Tissue immune homeostasis is essential for the prevention of pathological inflammation and the preservation of organ integrity. However, when immune regulation at the tissue level is disrupted, it can trigger or aggravate a wide array of diseases, including cancer and systemic inflammatory disorders. This review looks into the pathophysiology of autoimmune and chronic systemic disorders, as well as the emerging understanding of how tissue-specific immune dysregulation contributes to oncogenesis, tumor progression, and metastasis. Dysfunctional interactions between tissue-resident immune cells, stromal components, cytokine networks, and the local microenvironment are at the core of this dysregulation. The failure of immune tolerance, chronic low-grade inflammation, and aberrant activation of immune checkpoints are identified as critical mechanisms. Additionally, the role of tissue-specific immune niches in shaping disease outcomes emphasizes the need for localized therapeutic approaches. Understanding the molecular and cellular basis of tissue immune dysregulation opens new insights into targeted immunotherapies and precision medicine for both malignant and non-malignant diseases.
Single-Object Multi-Path Routing in Multi-Objective Networks Using Genetic Algorithm
The rapid development of the Internet of Things (IoT) and wireless communication networks has made improving data routing between nodes increasingly important. These networks face several challenges. Moreover, advanced optimization is used, most notably the Genetic Algorithm (GA), due to its ability to explore multiple solutions and improve them over successive generations by working with routing and evaluation. This work aims to develop and establish a model based on the GA to improve path routing in single-object wireless networks, taking into account four main criteria: latency, throughput, reliability, and energy consumption by using an algorithm. The results of this work show that the proposed model will provide significant improvement and balance in all criteria compared to the traditional methods.
The impact of artificial intelligence on predicting future government expenditures An applied study in the departments of Nineveh Governorate.
The research aims to study the impact of artificial intelligence on predicting future government expenditures in Iraq. The study covered 11 directorates in Ninawa province, and the research strategy was a case study of archive data for previous years of Ninawa province departments. The study used the artificial intelligence algorithm represented by the Perceptron network to predict the values of expenditures for future years. The research concluded that the use of artificial intelligence leads to rationalizing and improving spending in government units in Iraq. The researcher recommended encouraging government units to allocate financial resources to implement artificial intelligence technologies, including updating systems, programs, and devices used.
The extent to which the requirements of the international standard (ISO-9001 / 2008) are met and their impact on the product (A survey sample of the opinions of a sample of employees at the Al-Mamoun factory which manufactures the De Luxe soap product)
The importance of the international specifications ISO (ISO - 9001/2008) through the product in the safe factory for manufacturing laundry soap (De Luxe brand) through the application of the ISO version in an effective and precise application in order to promote this required product with the quality performance in production of this agreed upon product is (De Luxe laundry soap) to be a high-quality product to be presented to customers. The quality of the product is due to the organization in consolidating itself in the market to achieve a high level of quality to satisfy customers and obtain new customers and a geographical area in the local market for the purpose of controlling some of the challenges that it may face in the future. The research population consists of all workers in the Al-Maamoun factory for manufacturing soap (De Luxe). The community sample is (100), and because the research is based on an exploratory study of the opinions of a group of workers, the random research sample was represented by workers in the Al-Maamoun factory for manufacturing laundry soap (De Luxe brand), and it was determined the sample size included in the questionnaire, according to Stephen Thompson’s equation, amounted to (50) workers. The research consisted of four sections, including the first section (the methodology of scientific research and some previous studies), the second section (theoretical variables, including the ISO 9001/2008 version) and the product), and the third section (the applied section and the results of statistical analysis). The fourth section was (conclusions and recommendations) in addition to the sources. Arabic and foreign.
Availability of ISO requirements for the product in the organization
Social media coverage of developments in the Palestinian cause. (Operation Tufan of Al-Aqsa) and its role in activating relief and humanitarian support activities. (Facebook "Meta" as an example).
This study deals with the analysis of the digital content of pages and sites that support the Palestinian cause on social media platforms،Specifically Facebook (Meta) in the context of Operation Al-Aqsa Flood, the study aims to highlight how these pages use social media as an effective tool in spreading awareness and stimulating international solidarity, and organizing protest activities The study was based on the analysis of a sample of Palestinian, Arab and international pages that dealt with the events of Operation Al-Afsa Flood and its various roles in strengthening digital resistance and spreading humanitarian stories and political analysis She also reviewed the challenges faced by these pages, such as censorship and restriction by Facebook's management. The results of the study showed that these pages are used successfully in publishing visual and documentary content that highlights the suffering of Palestinians. It also enhances international and local interaction through organizing solidarity campaigns and the use of unified hashtags. The study confirmed that social media has become an important element in Palestinian digital resistance, as it contributes to overcoming traditional media barriers and communicating the Palestinian narrative to a wider global audience.
This research Addresses civil wars and liberation wars. Because many countries hglsjulvm, when the colonized peoples were exploited for their human and material resources, and made these countries weak; and back ward in all aspects. This is a result of the colonialism of western countries, especially British colonialism, and the subsequent woes on the colonized counties. one of the Civil wars, the American Civil war and the Spanish Civil war, but for the struggle of the peoples and national consciousness, this kind of struggle against foreign colonizers has become a sacred national duty. which stirred the conscience of these Countries to be exposed to injustice, tyranny and oppression. National liberation movements became the slogan of this resistance, and the best evidence of this is the Algerian people’s resistance to the French Occupation and their forced evacuation from Algeria and the achievement of it.
Protecting the environment criminally from pollution
Environmental crimes constitute a significant topic that impacts life on Earth, whether humans, animals, plants, air, or water. Their scope is not limited to the local or regional level, but extends beyond that to take on an international dimension. Therefore, the current study sheds light on environmental crimes, both in terms of terminology and definition, as well as the forms of these crimes. It delimits the bases for considering such crimes as cross boundary, in addition to specifying the extent of environmental damage. The study also addresses the determination of international criminal responsibility in the event of their occurrence, in addition to the foundations for the establishment of this crime. The study ends up with a set of conclusions and recommendations.
The Semantic Significance of Qur'anic Context and Its Role in Deriving Meanings
The semantic significance of Qur'anic context is considered one of the most important interpretive tools employed by exegetes in elucidating the meanings of the Holy Qur’an and deriving its rulings. This study, therefore, gains its importance from its focus on examining the contextual significance and its impact on the extraction of Qur’anic meanings. The meaning of a Qur’anic verse or phrase cannot be accurately understood without considering the preceding and following context in which it appears. The meaning conveyed through context holds various dimensions and offers numerous benefits, as pointed out by prominent scholars and exegetes of both early and later generations.
The impact of international law on the emergence of constitutions
The juristic consensus is that there four ways and methods for drafting Constitutions according to the circumstances that the state is going through there are the non-democratic methods. Which are represented by the grant and the contract, which are very old methods that are no longer used in drafting constitution, and there are the democratic methods, namely the constitutional referendum, which are methods that are compatible with the principles of democracy. however, after the emergence of the importance of international treaties in establishing the constitution of some countries that are going through exceptional circumstances of war and occupation, as the case of federal union, here it became necessary for constitutional scholars to acknowledge the existence of a fifth method for establishing constitutions, which is the method of international treaties.
Discriminatory Intervention in Criminal Proceedings (A Study in Light of Legal Texts and Judicial Applications
Discriminatory intervention is an exceptional case aimed at correcting the contested judgment or decision, and ensuring the proper application of the law, which distinguishes it from other means of appeal, as it is an essential basis for protecting the interests and rights of individuals, as judgments and decisions issued by criminal courts have the specificity of being the most prejudice to personal freedoms at a time when the judiciary seeks to achieve justice and work to balance between the public and private interest. The importance of discriminatory intervention lies in the fact that it is a legal means to ensure the monitoring of draft judicial rulings and to ensure that there are no errors in the application of the law, especially in cases where the convicted party or the prosecution cannot appeal by traditional methods of appeal.
Modern Trends of Information Technology and Libraries in the Use of Artificial Intelligence and its Role in Applying Statistical Methods
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.
Artificial intelligence(AI),Content analysis,Statistical processing,Information Technology,Trend identification &information management
Selecting Sports Players Using Intelligent Techniques
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\\&amp;#039;s emotional state. Studies suggest that it is possible to build intelligent systems that recognize individuals\\&amp;#039; 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\\&amp;#039;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.
deep learning,CNN,ResNet50,MFCC,data augmentation,SER
Review of Bounded Linear Operators of Modules
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.
Bounded Linear Operators,Polynomaial Rings,Normed Space and Modules
Studying the impact of informed marketing on the customer experience in Iraqi companies
The research aimed primarily to determine the role and relationship of enlightened marketing in improving customer experience in Iraqi companies, by conducting interviews with many customers, as well as a number of employees at different administrative levels to explore their opinions about the value of enlightened marketing in customer experience, using descriptive and analytical methods. By preparing a questionnaire and distributing it to the study sample, which consisted of a selected sample of employees and customers of a sample of Iraqi companies. Simple randomization was used to represent the type of research that included 200 participants from these institutions who were selected to complete the questionnaire. After studying the data and hypotheses, the researcher concluded that there is a direct and significant relationship between enlightened marketing and customer experience. The results also showed that the gender variable had a statistically significant impact on the quantitative function of the customer experience. In contrast, no statistically significant differences appeared with regard to the customer experience due to the variables of age, educational level, and income. In addition, it was found that there were significant differences in the sample’s answers regarding the application of enlightened marketing attributed to (customers, employees), with an average of 3.9 and 3.31 for each of them, respectively.
customer experience,gender variable,Informed marketing,Age variable,Educational level variable,Income variable.
The Persuasive Language Strategies and Techniques in Political discourse: Differences and Similarities Between the United States of America and the Middle East Region in the Language of Political Speeches
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\&#039;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\&#039;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.
Social Media,political discourse,rhetoric,middle east,United States,linguistic analysis,digital communication,political speeches,Persuasive language,rhetorical strategies,thematic content,cross-cultural studies.
A Multimodal discourse analysis of Selected Visual Poems in the Book “Five Oceans in a Teaspoon
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\&#039;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.
Multimodality,discourse,visual poems,typography,and cognitive metaphor theory.
The Multi-Period Probabilistic Inventory Model Applied at the General Company for Leather Industries
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.
reorder point,economic order quantity,inventory management,Safety Stock,Random Ordering
تأثير العائد والمخاطر في بيئة المنظمة دراسة استطلاعية لأراء عينة من العاملين
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
The four factors of personality,return and risk,organization environment
The effect of job empowerment on job embeddedness An analytical exploratory study in the Baghdad Municipality
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.
connections,Altruism,Baghdad Municipality
The Impact of the Participation in Decision Making on the Organization Creativity
The research aims to study the impact of workers\\&amp;#039; 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\\&amp;#039; 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\\&amp;#039;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\\&amp;#039;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\\&amp;#039;s performance due to its wide impact on both the staff and the departments at all levels.
decision-making,Workers’ Participation,Organizational Creativity.
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.
Death; Victorian Poetry; inevitable reality; soulmate; anticipation; reassuring; alluring; submissive,placid.
Behavior of Concrete Beam Encasing Castellated Steel Section with Different Shear Stud Interactions
This study\\&amp;#039;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\\&amp;#039;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.
Shear stud,Horizontal displacement,Full Interactions,Partial Interactions,mid-deflection.
Theme of Surveillance: George Orwell’s 1984 as a Case Study
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\&#039;s work. to demonstrate how the party\&#039;s surveillance methods are similar to the Panoptic prison\&#039;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\&#039;s 1984 and how internalized surveillance can influence society in general and the psyche of each individual in particular.
surveillance,Orwell,1984,Big Brother,Panopticism,Jeremy Bentham
Lightweight Secured-Image Transferring based on A Hybrid SPECK-RC5 Method
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.
Lightweight encryption,SPECK Algorithm,RC5 algorithm,hyperchaotic map