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.
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The aim of t his p aper is t o const ruct t he (k,r)-caps in t he p rojective 3-sp ace PG(3,p ) over Galois field GF(4). We found t hat t he maximum comp let e (k,2)-cap which is called an ovaloid, exist s in PG(3,4) when k = 13. Moreover t he maximum (k,3)-cap s, (k,4)-cap s and (k,5)-caps.
In this paper, we investigate the automatic recognition of emotion in text. We perform experiments with a new method of classification based on the PPM character-based text compression scheme. These experiments involve both coarse-grained classification (whether a text is emotional or not) and also fine-grained classification such as recognising Ekman’s six basic emotions (Anger, Disgust, Fear, Happiness, Sadness, Surprise). Experimental results with three datasets show that the new method significantly outperforms the traditional word-based text classification methods. The results show that the PPM compression based classification method is able to distinguish between emotional and nonemotional text with high accuracy, between texts invo
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This research describes a new model inspired by Mobilenetv2 that was trained on a very diverse dataset. The goal is to enable fire detection in open areas to replace physical sensor-based fire detectors and reduce false alarms of fires, to achieve the lowest losses in open areas via deep learning. A diverse fire dataset was created that combines images and videos from several sources. In addition, another self-made data set was taken from the farms of the holy shrine of Al-Hussainiya in the city of Karbala. After that, the model was trained with the collected dataset. The test accuracy of the fire dataset that was trained with the new model reached 98.87%.
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Software-Defined Networking (SDN) has evolved network management by detaching the control plane from the data forwarding plane, resulting in unparalleled flexibility and efficiency in network administration. However, the heterogeneity of traffic in SDN presents issues in achieving Quality of Service (QoS) demands and efficiently managing network resources. SDN traffic flows are often divided into elephant flows (EFs) and mice flows (MFs). EFs, which are distinguished by their huge packet sizes and long durations, account for a small amount of total traffic but require disproportionate network resources, thus causing congestion and delays for smaller MFs. MFs, on the other hand, have a short lifetime and are latency-sensitive, but they accou
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Inelastic magnetic electron scattering M1 at Ex =10.23 MeV form factors in Ca-48 have been investigated. The fp shell model space with four orbits and eight neutrons have been considered and FPD6 has been selected between 32 model space effective interactions to generates the model space vectors for the M1 transition with excitation energy Ex =10.23 MeV and for constructing OBDM. Discarded space (core and higher configuration orbits) has been included through the first order perturbation theory to couple the partice-hole pair of excitation in the calculation of the total M1 form factor and regarding the realistic interaction M3Y as a core polarization interaction with six sets of fitting parameters. Finally the theoretical calculations h
... Show MoreThe covid-19 pandemic sweeping the world and has rendered a large proportion of the workforce as they are unable to commute to work. This has resulted in employees and employers seeking alternative work arrangements, including the software industry. Then comes the need for the global market and international presence of many companies to implement the global virtual teams (GVTs). GVTs members are gradually engaged in globalized business environments across space, time and organizational boundaries via information and communication technologies. Despite the advancement of technology, the project managers are still facing many challenges in communication. Hense, to become a successful project manager still a big challenge for them. This study
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This paper proposes two hybrid feature subset selection approaches based on the combination (union or intersection) of both supervised and unsupervised filter approaches before using a wrapper, aiming to obtain low-dimensional features with high accuracy and interpretability and low time consumption. Experiments with the proposed hybrid approaches have been conducted on seven high-dimensional feature datasets. The classifiers adopted are support vector machine (SVM), linear discriminant analysis (LDA), and K-nearest neighbour (KNN). Experimental results have demonstrated the advantages and usefulness of the proposed methods in feature subset selection in high-dimensional space in terms of the number of selected features and time spe
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Abstract Background: Augmentation cystoplasty is one of the surgical procedure for treatment of spastic neurogenic bladder that has a significant improvement in the cystometric parameters. Aim of study: The aim of this study is to describe cystometric findings pre and post augmentation cystoplasty in patients with spastic neurogenic bladder. Patients and methods: A prospective study including patients aged 6-18years with neurogenic bladder operated on for augmentation cystoplasty surgery with ilium segments due to a neurogenic bladder from the years 2020–2024. A urodynamic study was conducted before and 3 months after the surgical procedure. Non-probabilistic sample of consecutive cases. Descriptive statistics were presented using fre
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