Globalisation and rapid environmental change have created many challenges for public and private organisations across Iraq as a developing country, particularly in the higher education sector. This includes, for example, decreases in government funding; increased demand for higher education; a need for economic transformation, and related competitiveness of organizations. Such challenges require exceptional leaders and strategic planning in order to take action to improve. In Iraq, the higher education sector is still one of the main foundations in progressing the knowledge economy. Studies into leadership style, strategic planning processes, and the importance of leadership and organisational culture to an organisation’s success have been used to assist both public and private Iraqi colleges in responding to the challenges they face. Although, some studies have examined the interaction between leadership and strategic planning, and leadership and organisational success, there has been no empirical study that has investigated how these three variables interact together. Thus, this study aimed, firstly, to identify the current leadership styles and strategic planning processes in the colleges and the challenges they faced, and to gain an understanding from the perspective of the senior leaders themselves as to how they might best respond to the current situation. Secondly, based on the participants’ experiences, knowledge and perceptions, the study aimed to identify implications for both practice and policy to help improve the colleges’ outcomes. The study involved a mixed-methods approach and was conducted in two stages. During the first stage, the researcher gathered quantitative data by administering a survey package to 129 leaders (deans, associate deans, and heads of departments) across both public and private colleges in the capital city of Baghdad. During the second stage, the researcher gathered qualitative data to more deeply explore the survey results by conducting individual interviews with a sub-sample of 21 leaders from both college types (ten public and 11 private). In the data analyses stages, both descriptive statistics and inferential statistics were applied to compiling tables and charts, and to test hypotheses, by employing the Statistical Package for Social Sciences (SPSS), Microsoft Excel, and NVivo. The results of study showed that both transformational and transactional leadership styles played a varied and vital role in the colleges’ strategic planning processes, and in turn their success. The fact that private colleges were ‘for profit’ and public colleges were ‘not for profit’, as well as their contrasting funding models, highlighted key differences between the two college types’ leadership and general modus operandi. While it was found that both transformative leadership and transactional leadership styles were necessary to address the challenges colleges faced in the Iraqi educational context, the impetus for change extended far beyond the need for professional development of leaders. The embracing of information communication technologies, and reliable Internet was seen as necessary in all aspects of the colleges’ work and provision for teaching and learning, and students’ success. This applied to both college types along with the need for closer adherence to government regulations and more focused government coordination of colleges’ administrative functions. Furthermore, implications for making successful improvements to practice also identified the need to manage the challenge of sociocultural influences on the appointments and promotions of leaders. It was concluded that a greater emphasis on teamwork and provision of incentives for staff, along with a ‘boost’ to pedagogy and practice, which could be provided through the adoption of information communication technologies and appropriate professional development strategies, would enhance the colleges’ ranks and the status of their qualifications. Also, theoretically, the study offers a value-add to leadership, strategic planning process, and organisational success literature in the form of a conceptual model that links these variables in the context of Iraqi higher education sector.
This work bases on encouraging a generous and conceivable estimation for modified an algorithm for vehicle travel times on a highway from the eliminated traffic information using set aside camera image groupings. The strategy for the assessment of vehicle travel times relies upon the distinctive verification of traffic state. The particular vehicle velocities are gotten from acknowledged vehicle positions in two persistent images by working out the distance covered all through elapsed past time doing mollification between the removed traffic flow data and cultivating a plan to unequivocally predict vehicle travel times. Erbil road data base is used to recognize road locales around road segments which are projected into the commended camera
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Orthogonal polynomials and their moments serve as pivotal elements across various fields. Discrete Krawtchouk polynomials (DKraPs) are considered a versatile family of orthogonal polynomials and are widely used in different fields such as probability theory, signal processing, digital communications, and image processing. Various recurrence algorithms have been proposed so far to address the challenge of numerical instability for large values of orders and signal sizes. The computation of DKraP coefficients was typically computed using sequential algorithms, which are computationally extensive for large order values and polynomial sizes. To this end, this paper introduces a computationally efficient solution that utilizes the parall
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High-resolution imaging of celestial bodies, especially the sun, is essential for understanding dynamic phenomena and surface details. However, the Earth's atmospheric turbulence distorts the incoming light wavefront, which poses a challenge for accurate solar imaging. Solar granulation, the formation of granules and intergranular lanes on the sun's surface, is important for studying solar activity. This paper investigates the impact of atmospheric turbulence-induced wavefront distortions on solar granule imaging and evaluates, both visually and statistically, the effectiveness of Zonal Adaptive Optics (AO) systems in correcting these distortions. Utilizing cellular automata for granulation modelling and Zonal AO correction methods,
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One of the diseases on a global scale that causes the main reasons of death is lung cancer. It is considered one of the most lethal diseases in life. Early detection and diagnosis are essential for lung cancer and will provide effective therapy and achieve better outcomes for patients; in recent years, algorithms of Deep Learning have demonstrated crucial promise for their use in medical imaging analysis, especially in lung cancer identification. This paper includes a comparison between a number of different Deep Learning techniques-based models using Computed Tomograph image datasets with traditional Convolution Neural Networks and SequeezeNet models using X-ray data for the automated diagnosis of lung cancer. Although the simple details p
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Biometrics represent the most practical method for swiftly and reliably verifying and identifying individuals based on their unique biological traits. This study addresses the increasing demand for dependable biometric identification systems by introducing an efficient approach to automatically recognize ear patterns using Convolutional Neural Networks (CNNs). Despite the widespread adoption of facial recognition technologies, the distinct features and consistency inherent in ear patterns provide a compelling alternative for biometric applications. Employing CNNs in our research automates the identification process, enhancing accuracy and adaptability across various ear shapes and orientations. The ear, being visible and easily captured in
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Frustrated Total Internal Reflection FTIR phenomenon is manifested employing Newton‟s rings setup generated via a coherent light beam of a laser diode ( . All concentric bright and dark rings, except the central bright spot, were noticed to recede (disappear) when the incident angle exceeded the critical angle of 41o.
It was also shown that the current setup has proven its applicability for other tests and can give convenient results that conform with theory. Neither the concept nor the design is beyond what can be realized in an undergraduate laboratory. However, technical improvements in mounting the prism - lens may be advisable. As an extension of the experiments, the effect can be studied using hollow prism filled with liquids
Semiconductor laser is used in processing many issues related to the scientific, military, medical, industrial and agricultural fields due to its unique properties such as coherence and high strength where GaN-based components are the most efficient in this field. Current technological developments mention to the strong connection of GaN with sustainable electronic and optoelectronic devices which have high-efficiency. The threshold current density of Al0.1Ga0.9N/GaN triple quantum well laser structure was investigated to determine best values of the parameters affecting the threshold current density that are well width, average thickness of active region, cavity length, reflectivity of cavity mirrors and optical confinement factor. The opt
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