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Diagnosing the Reality of Strategic Vigilance Dimensions at Northern Technical University and Its Affiliated Formations in Nineveh Governorate/ An Analytical Study
No full textThe Present Study Seeks to Explore the Role of Strategic Vigilance with its Key Dimensions’ Competitive Vigilance, Technological Vigilance, Marketing Vigilance, and Environmental Vigilance within the Context of Academic Institutions, Focusing Specifically on the Northern Technical University and its Affiliated Formations in Nineveh Governorate. The Study Aims to Understand the Extent to which the Adoption of Strategic Vigilance Practices Contributes to Enhancing the Institutional Capacity to Anticipate Changes, Improve Strategic Decision-Making, and Support the Overall Performance of Academic Staff. To Achieve this, the Study Employed a Descriptive- Analytical Methodology to Frame the Theoretical Foundations and Analyze the Collected Data. A Structured Questionnaire Served as the Primary Tool for Data Collection. The Survey was Distributed to a Randomly Selected Sample of 311 Employees Working Across Various Formations of the Northern Technical University. Statistical Analysis was Conducted Using SPSS V26 and AMOS V24, Incorporating Methods Such as Means, Standard Deviations, Response Rates, Frequencies, and Coefficients of Variation. The Findings Indicate a High Level of Strategic Vigilance Practiced Within the University, particularly in the Areas of Technological and Environmental Vigilance, which Demonstrates the Institutions Proactive Efforts to Monitor Technological Trends and Environmental Dynamics as Part of its Strategic Planning Proces
Study of Antimicrobial susceptibility test for Moraxella catarrhalis in Hospitalized Patients of respiratory tract Infection
Get PDFUrinary tract infections (UTIs), mainly caused by Escherichia coli, are a major health concern, affecting over 150 million people globally each year, with a lifetime prevalence of 40-50% among females. This study, conducted from May 1, 2023, to February 29, 2024, in three hospitals in Kirkuk City, aimed to assess the frequency of multidrug-resistant (MDR) bacteria in UTI patients and examine the effect of seasonal variation. A total of 250 patients aged 17-78 were enrolled, with 110 confirmed UTI cases. Bacterial identification and antibiotic susceptibility testing were performed using the VITEK2 system and the disk diffusion method. Results showed a higher incidence of UTIs during the summer months, likely due to dehydration and increased bacterial growth. E. coli was the most common pathogen (39.1%), followed by Klebsiella spp. (22.7%) and Proteus mirabilis (14.5%), all exhibiting significant multidrug resistance. The findings highlight a seasonal pattern in UTIs, particularly among females, with higher prevalence in warmer months
Accurate Osteoporosis Diagnosis Model Proposing Genetic Algorithm Optimization for Convolutional Neural Network
No full textOsteoporosis is characterized by diminished bone mass and bone tissue loss, which results in weakened bones, decreased bone strength, and increased risk of fractures. This paper exploits a Medical Lumber Spine Images (MLSI) of Dual-Energy X-ray Absorptiometry (DEXA) clinic in Mosul / Iraq to be classified as either normal or having osteoporosis. It also presents the capability of optimizing the hyperparameters of a deep learning model, where the Genetic Algorithm (GA) is used for optimizing Convolutional Neural Network (CNN) hyperparameters. The proposed model essentially explores and optimizes 18 hyperparameters; it is named the Genetic Optimization for CNN (GOCNN). It combines the powerful of GA and CNN in order to provide best hyperparameters tuning, this would further decrease the manual tuning efforts. The real clinical dataset of MLSI is utilized and employed in this study. The proposed method can correctly diagnose 93% of osteoporosis cases from unseen data, with an Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) equals to 0.98
Enhancing the Accuracy of Non-Invasive Blood Glucose Monitoring Using Deep Learning Methods
No full textAccurate blood glucose monitoring is crucial for diabetes management. Traditional invasive methods remain the gold standard due to their reliability; however, the demand for non-invasive alternatives has surged due to patient comfort and the necessity for continuous monitoring. This study bridges the accuracy gap between non-invasive and invasive blood glucose measurements using deep learning algorithms. An infrared-based sensor was employed to capture voltage variations correlated with blood glucose levels, collecting data from over 110 participants. Initially, a polynomial regression model achieved an accuracy of 83.5%. After expanding the dataset and incorporating additional biometric features (such as age, BMI, blood pressure, and family history), the enhanced deep neural network (DNN) model was optimized through hyper parameter tuning, significantly improving prediction accuracy to 96.85%. These results highlight the superiority of deep learning over traditional regression methods in refining non-invasive glucose measurements. The substantial reduction in measurement discrepancies suggests promising clinical applications. Beyond its technical contributions, this research aligns with the United Nations Sustainable Development Goals (SDGs), particularly in promoting good health and well-being and fostering innovation in healthcare technologies. By enhancing the accuracy of non-invasive glucose monitoring, this study advances the potential for cost-effective, patient-friendly diabetes management solutions, improving accessibility and reducing reliance on invasive procedures
Review of the Development of the Fin Optimization
No full textThis investigation spans 200 years of fin design development, from Ingenhousz’s early studies of thermal conduction to today’s logically optimized, application-tailored geometries. It synthesizes results from over 50 key studies on conduction–convection interactions, geometric sophistication, material innovation, and multi-mode heat transfer. Optimal designs deliver 20-50% higher heat transfer than reported in the literature and reduce material use by 15-30% compared with traditional multi-layered arrangements. Developments such as slotted, gapped, elliptical, and airfoil fin designs continually improve thermal?hydraulic performance, as evidenced by decreases in pressure drop (in some cases, very significant) with increasing Nusselt number. The inclusion of radiation effects, wet-surface operation, and variable thermal properties has increased prediction accuracy, enabling customized solutions for high-temperature, condensation, and natural convection applications. Contemporary methods use CFD, inverse heat transfer techniques, and metaheuristic algorithms such as GA and PSO to search through?large design spaces. These methods also enable the manufacturing of complex topologies and power-optimized fins. Hybrid architectures now provide unparalleled flexibility in electronic cooling, automotive waste heat recovery, and aerospace applications. This review?underscores an accelerating trend toward intelligent, adaptive fins that integrate advanced materials, embedded sensing, and AI-driven optimization, and that promise to transform the very notion of thermal management in compact, efficient, and sustainable system
Information technology capabilities and Their Role in Enhancing sustainable Interactive Marketing - An analytical study in Asiacell Company
No full textThe study was conducted to find out the role of IT capabilities in enhancing sustainable interactive marketing as well as its practical side. The study reached the impact of information technology capabilities, which are infrastructure capabilities, human resources capabilities, and finally information technology management capabilities, and their reflection on sustainable interactive marketing in its dimensions of sustainable trust, sustainable commitment, sustainable interaction, and sustainable service quality. Sustainable interactive marketing is one of the methods that enable organizations to better meet the needs and desires of their customers. The study community (130) of Asiacell Communications Company employees in Nineveh Governorate and a sample of 110 electronic questionnaires were identified to be analyzed using the SPSS program. The study reached a number of conclusions, the most important of which is matching the study model with the hypothetical model. The results of the correlation analysis showed a direct and significant correlation between information technology capabilities and sustainable interactive marketing at the overall level in the company under study, which confirms that the increase in the levels of information technology capabilities provided by the company will be met with a noticeable improvement in the levels of enhancing sustainable interactive marketing in the company. The results of the analysis of the impact relationships showed a direct and significant correlation of information technology capabilities in sustainable interactive marketing at the overall level in the company under study, which confirms that the increase in the levels of availability of the dimensions of capabilities Information technology in the company under study will be met with fruitful marketing success for the company in the labor market
Accounting disclosure of cybersecurity risks and challenges / A survey of the opinions of a number of companies in Nineveh Governorate
No full textThe current research aims to study the impact of accounting disclosure on cybersecurity and its contribution to the organization's tasks, using a sample of (42). The researcher relied on a questionnaire as a data collection tool, which was distributed to a random sample of (46). The research adopted a set of hypotheses, including the existence of a significant correlation between accounting disclosure and cybersecurity from the perspective of the study i population. In addition, there is a statistically significant impact of accounting disclosure on cybersecurity from the perspective of the study community members of the companies under investigation.
The research reached a number of conclusions, the most prominent of which is: (The study showed that accounting disclosure by accountants greatly affects the cybersecurity of the companies studied, as accounting disclosure helps to enhance the confidence of investors and professional bodies, thus reducing cyber risks). He came out with several recommendations, most notably (enhancing transparent and accurate accounting disclosure; investing in cybersecurity to protect financial data).The current research aims to study the impact of accounting disclosure on cybersecurity and its contribution to the organization's tasks, using a sample of (42). The researcher relied on a questionnaire as a data collection tool, which was distributed to a random sample of (46). The research adopted a set of hypotheses, including the existence of a significant correlation between accounting disclosure and cybersecurity from the perspective of the study i population. In addition, there is a statistically significant impact of accounting disclosure on cybersecurity from the perspective of the study community members of the companies under investigation.
The research reached a number of conclusions, the most prominent of which is: (The study showed that accounting disclosure by accountants greatly affects the cybersecurity of the companies studied, as accounting disclosure helps to enhance the confidence of investors and professional bodies, thus reducing cyber risks). He came out with several recommendations, most notably (enhancing transparent and accurate accounting disclosure; investing in cybersecurity to protect financial data)
Diagnosing the Reality of Information Technology Adoption Strategies in the Nineveh Education Directorate: A descriptive study
No full textThis study aims to diagnose the availability of information technology (IT) adoption strategies—specifically the parallel use, excessive use, and tolerance strategies—in the Nineveh Education Directorate. A descriptive approach was employed, targeting Educational Management Information System (EMIS) operators in primary schools on the left side of Mosul, with a population of 412 operators. A questionnaire was distributed to 340 operators, and 312 valid responses were analyzed using percentages, arithmetic means, standard deviations, and relative importance. Results reveal that the excessive use strategy is the most prevalent in implementing the EMIS system. This study uniquely contributes to understanding IT adoption in post-conflict educational settings, offering insights into operator-driven perspectives
Deep Learning YOLO Models in Hand Gesture Recognition
No full text Hand gesture detection is essential for improving human-computer interaction, considerably advancing the creation of more intuitive and effective interfaces. This study examines the efficacy of three sophisticated object identification models in identifying hand motions: YOLOv8, YOLOv10, and YOLOv11. A dataset was created for this purpose, enhanced via Roboflow, and utilized for training and evaluating the performance of these models based on metrics including mAP, Precision, Recall, and F1-score. Performance was enhanced by adjusting the optimizers (Adam, SGD, and AdamW) and hyperparameters, including learning rate and epochs. The findings indicate outstanding performance, with YOLOv8 and YOLOv10 attaining mean Average Precisions of 99.2% and 99.1%, respectively, alongside precisions of 98.1% and 98.6%, recalls of 97.7% and 97.2%, YOLOv11 had a mean Average Precision of 99.2%, a precision of 98.6%, and a recall of 98.4%, These findings demonstrate that YOLOv11 adeptly manages more complex datasets while preserving an ideal equilibrium between speed and precision
Study of Antimicrobial Susceptibility Test For Moraxella Catarrhalis in Hospitalized Patients of Respiratory Tract Infection
Get PDFMoraxella catarrhalis, a gram-negative diplococcui, an opportunistic pathogen that infects the human respiratory system. In th present study 20 isolates were collected from 405 individual clinical samples. Based on the sample source, the common sources of M. catarrhalis isolates were sputum 10 (50%), followed by throat swabs 8 (40%) and bronchial wash 2 (10%). Based on the culture morphology ("Hockey puck" sign), biochemical characteristics and with the API-NH, out of 354 (87.5%) positive bacterial growths, 20 (5%) isolates were identified as M. catarrhalis. In relation to biofilm development, the present study revealed that 5% of isolates were weak biofilm formers and 95% non-biofilm in formers in qualitative method (tube method). According to CLSI, The most effective antibiotics against M. catarrhalis were Amoxicillin-clavulanate and Trimethoprim-sulfamethoxazole the resistance rate was 2 (10%) and 1 (5%) respectively. The aim of the study is to investigate antibiotic resistance in M. catarrhalis in hospitalized respiratory tract infection patients