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    435 research outputs found

    Agile Methodologies on Software Product Project Success

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    Despite the popularity of using agile methods in software development, many companies still struggle with efficiency problems. These issues lead to financial losses and make it harder for them to compete in the fast-paced software industry. This study aims to find solutions to these problems by looking into effective ways to improve how agile methods are used and to overcome the challenges of putting them into practice. By examining what factors contribute to the success of agile project management, this research hopes to offer useful advice for making software development projects more efficient and productive. The findings from this study could help companies make better decisions and improve how they use agile methods in their work

    The Impact Of Global Recession On The Cost Of Construction Materials And Project Budgeting And Possible Solutions

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    The construction sector is essential in the global economy, contributing significantly to economic stability and development. Obtaining of the construction materials has been a severe challenge due to the massive economic crisis that has been witnessed globally. Despite efforts to mitigate the issue, inflation, supply chain disruptions, and a sharp increase in the cost of construction materials are occurring. Projects have been adversely affected by the changes in prices where some have stalled and others failed to meet the set deadlines. These factors are increasing construction problems that have negatively affected the project owners because the cost increase leads to budget overruns. A possible cause of this problem is the post-COVID-19 effects and wars in various parts of the world, which affect the supply chain network. If we don\u27t solve it, the worst will happen. Therefore, this study will be exploring this issue with the main of developing some control mechanisms to deal with the situation

    The Impact Of Emotional Intelligence On Project Success And Team Dynamics In Finance Organizations

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    This research investigates the impact of emotional intelligence (EI) on leadership effectiveness within the finance industry, with a focus on its influence on team dynamics, decision-making, and the overall success of projects. The study seeks to address a gap in the current literature by examining how finance leaders apply emotional intelligence in high-pressure, fast-paced environments, where quick decisions and high-stakes situations are common. While emotional intelligence has been widely studied in other sectors, there is limited understanding of how it operates in finance, a sector known for its high demands and intense work culture. The research employs a qualitative methodology, using in-depth interviews with leaders in the finance industry to explore their experiences with emotional intelligence. Key themes emerging from the study include the critical role of empathy in fostering trust and team cohesion, emotional resilience in managing stress and crisis situations, and the challenges of balancing emotional intelligence with the need for authority and assertiveness in leadership. Participants emphasized that while empathy and emotional regulation positively influenced team morale and performance, they also faced difficulties in maintaining authority when applying emotional intelligence, especially when quick, decisive action was required. The findings contribute to both theoretical and practical understandings of leadership in high-pressure industries. The research suggests that emotional intelligence is essential for effective leadership, but it must be balanced with other leadership qualities such as decisiveness and assertiveness to be truly effective in industries like finance. This study also challenges existing emotional intelligence theories by proposing that the application of EI is context-dependent, varying significantly between high-stress environments like finance and less demanding industries. Practical implications of this research include recommendations for incorporating emotional intelligence into leadership development programs within the finance industry. By doing so, organizations can better equip leaders to manage both the emotional and operational demands of their roles. The study concludes by highlighting areas for future research, such as expanding the sample size, exploring other industries, and conducting longitudinal studies to observe how emotional intelligence influences leadership over time

    Container Security

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    I am working in the high performance computing research lab. I am researching container based cloud technology and security. For my Project I, I am simulating a denial of service attach within a cluster of containers

    The Role of Attention Mechanisms in Enhancing Transparency and Interpretability of Neural Network Models in Explainable AI

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    In the rapidly evolving field of artificial intelligence (AI), deep learning models\u27 interpretability and reliability are severely hindered by their complexity and opacity. Enhancing the transparency and interpretability of AI systems for humans is the primary objective of the emerging field of explainable AI (XAI). The attention mechanisms at the heart of XAI\u27s work are based on human cognitive processes. Neural networks can now dynamically focus on relevant parts of the input data thanks to these mechanisms, which enhances interpretability and performance. This report covers in-depth talks of attention mechanisms in neural networks within XAI, as well as an analysis of the theoretical foundations, architectural applications, and empirical evidence showing how well they work to improve model transparency. The report provides a comprehensive analysis of the role of attention mechanisms in AI models to address ethical concerns, comply with regulatory requirements, and foster a deeper understanding and trust in AI systems. The report contributes to the discussion about bringing AI closer to human values and cognitive processes so that its advancements are impactful and responsible by conducting a thorough analysis

    Non-Digital Method of Process Safety Management (PSM) Compliance, OSHA PSM and EPA RMP Rulemaking Initiatives, and Methodology to Estimate Related Economic Impact on PSM Facilities in the United States of America

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    Over the years, process safety management (PSM) program development and implementation has benefited the operating facilities in terms of successful avoidance of process safety incidents, and related business losses arising due to equipment damage, production interruption and environmental damage. PSM covered facilities have also reported improved personal injury record through successful implementation of an applicable, regional PSM standard. However, there is still a need to address both the efficiency and effectiveness aspects related to non-digital (manual) PSM program development, implementation, audit, and compliance. There has been continuous reporting of significant process safety incidents even after the promulgation of process safety management regulations both in the United States and globally. The uncertain macroeconomic and political conditions have also forced the governments to allocate less than required fiscal budget to their regional regulatory bodies to address any ongoing operational efficiency concerns in successful enforcement of their PSM regulation. This research paper will investigate and discuss the key issues faced by both the government regulatory bodies and process plant facilities, with the current non-digital (manual) method of PSM implementation, audit, and compliance. Moreover, recent modernization initiatives of safety regulations undertaken by federal regulatory bodies such as OSHA and EPA in the United States are described and discussed in the context of achieving the PSM compliance effectively and efficiently. The paper will also discuss detailed comparison between OSHA’s 1992 regulatory impact analysis study and 2023 information collection requirement burden hour and cost estimate and will outline a methodology to estimate the total economic burden of PSM compliance on the existing and future PSM covered facilities in the United States. The methodology to adjust (correct) OSHA’s PSM compliance cost estimates are based on accounting key regulatory, industrial, organizational, and economic factors prevalent in the global process plant industry

    Healing Cancer: Potential of Medical Biotechnology Within Cancer Research

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    Molecular Diagnostics - Biomarker Based Diagnosis of Human Papillomavirus (HPV)

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    Research on how HPV-16 E6 identifies cervical cancer more often than others

    A Predictive Model of Nutrient Recovery from RAS Drum-Screen Effluent for Reuse in Aquaponics

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    Controlled environment agriculture (CEA) optimizes growth parameters for vegetable and aquaculture production and can be used to address growing global food insecurity. Recirculating aquaculture systems (RAS) generate a nutrient-dense effluent that may result in environmental pollution, but with treatment and integration with hydroponic vegetable production may be repurposed as a naturally derived nutrient solution. This work developed a preliminary model using the system feed rate to calculate a plant-essential nutrient discharge rate in RAS effluent. Loading rate equations were created to calculate the daily mass of nutrients entering the system through fish feed, and discharge rate equations were created to calculate the grams of each nutrient discharged in the effluent per kilogram of feed. Data from previous published work were used for validation. The loading-rate percentage discharged for nutrients present in the effluent was between 2.71% and 64.5%, with several nutrients being prominent pollutants and all being required for vegetable growth. This work provides the preliminary framework for calculating nutrient discharge rates, which can be used to mitigate pollution or develop more precise, naturally derived hydroponic nutrient solutions for a circular bioeconomy in CEA

    Regenerative Medicine - Concepts and Applications

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