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Dr. Ahmad Shatila
Academic Director, Global University, Education Department, Batrakiyeh, Beirut, Lebanon
The Effect Of School Principals' Leadership Styles On Teacher Job Satisfaction In Lebanese Prek-12 Schools
This mixed-methods study investigated the relationship between school principals' leadership styles and teacher job satisfaction in eight Lebanese PreK-12 schools. Interviews with principals and questionnaires completed by 120 teachers assessed principals' leadership styles (transformational, transactional, passive-avoidant) and their impact on various facets of teachers' job satisfaction. Findings revealed that most principals employed a situational leadership approach, adapting their style to

Dr. Ahmad Shatila
Academic Director, Global University, Education Department, Batrakiyeh, Beirut, Lebanon
The Effects Of Readers' Theater On Reading Fluency And Writing Skills Of Esl Sixth Graders
This mixed-methods action research investigated the effects of Readers' Theater (RT) on the oral reading fluency and writing skills of 48 grade 6 ESL students in Lebanon. The treatment group participated in three cycles of RT, while the control group received traditional instruction. Data collection involved pretests and posttests using rubrics to assess reading fluency (specifically prosody) and writing skills

Marcel C. Wandera
School Of Medicine, University Of Nairobi, Nairobi, Kenya
Level Of Awareness And Attitude Towards Human Papillomavirus Vaccination Among Parents At The Kenyatta National Hospital
Background: In Kenya, human papillomavirus (HPV) is the primary cause of cancer among women of reproductive age. The HPV vaccine was introduced for girls in Kenya in 2019. This study aimed to determine parents' awareness and attitudes to HPV vaccination and determine parental characteristics associated with awareness and positive attitude towards the HPV vaccine. Methodology: This was a descriptive cross-sectional

Sarah Maua
School Of Science Nursing, University Of Nairobi, Nairobi, Kenya
Optimizing Poultry Production Efficiency Using Ai-based Decision Support Systems
Poultry farming is vital for global food production but faces challenges in efficiency, welfare, and sustainability. This study explores an AI-based Decision Support System (DSS) integrating machine learning and IoT sensors to optimize feeding, environment, and health monitoring. Results show adaptability across diverse farms, with 90% of farmers reporting improved efficiency. The findings highlight AI's transformative role in agriculture, enabling

Zelipha W. Maina
School Of Pharmacy, University Of Nairobi, Nairobi, Kenya.
Enhancing Inter-app Communication: A Development Framework For Seamless Integration
Inter-application communication (IAC) is essential for seamless integration across distributed systems. Early middleware solutions like CORBA and DCOM lacked scalability, while SOA's modularity was hindered by rigidity. The shift to microservices and RESTful APIs improved scalability but struggled with real-time interaction. Event-driven architectures (EDA) like Kafka enhanced asynchronous messaging but introduced complexity. Advances in gRPC, Protocol Buffers, and zero-trust security

Nachamada Blamah
Department Of Computer Science, University Of Jos
A Framework For Building High Performance Software Development Teams
This study explores the impact of teamwork quality (TWQ) on software development team performance, comparing agile and traditional approaches. TWQ significantly influences success as rated by team members and leaders, while product owners' evaluations are less affected. Agile teams show lower consensus in performance ratings. Differences in product and project quality assessments highlight the need for aligned success metrics. Key

Nachamada Blamah
Department Of Computer Science, University Of Jos
Ai-infused Plant Pathoguard: A Smart Device For Disease Identification In Plants
Agriculture, a cornerstone of global food security, faces significant challenges from crop diseases, which can severely impact yields and farmer livelihoods. Traditional methods for disease identification are often labour-intensive and lack real-time diagnostic capabilities. In response to these challenges, this project presents the "AI-Infused Plant PathoGuard," a smart device designed for the real-time identification of diseases in crops using advanced

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