A maize-cowpea intercrop multi-location study was conducted at the experimental fields of the Council for Scientific and Industrial Research-Savannah Agricultural Research Institute (CSIR-SARI) at Manga, Binduri District and at the Presbyterian Agricultural Station (PAS) at Garu, in the Garu District from July to October 2021 and 2022 cropping seasons. The objective of the study was to determine the influence of a maize-cowpea intercrop system on the growth, development and yield of maize and co...

Agricultural Science 

The widespread use of social media has made it an essential marketing tool that significantly influences consumers’ purchasing intentions. However, little is known about the psychological mechanism underlying this influence, notably the mediating function of perceived value, particularly in quickly digitalizing situations such as Ghana. In order to examine how Social Media Usage (SMU) affects Customer Purchase Intention (CPI), this study combines Persuasive Theory and Social Interactive Theory, ...

Socioeconomics  Marketing  Consumer Behavior 

Background: Essential Trauma Care (ETC) is an emergency medical care given as life-saving care to the trauma patient to prevent death or disability. ETC should be given at all levels of health facilities in order to serve life. Its application depends on the institutional level. However, there is inadequate provision of ETC particularly in low- and middle-income countries, which is contributed to by multiple factors including inadequate ETC capability of health care providers and insufficient pr...

Clinical Medicine  Surgery & Surgical Specialties 

Family businesses constitute complex organizational systems in which stress manifests uniquely due to the overlap of family and business subsystems. Stress affects not only the well-being of family members but also operational efficiency and the long-term sustainability of the enterprise. This study aimed to investigate the sources of stress and the strategies employed to manage it within a small family-owned business operating in the field of antenna and internet systems. Data were collected th...

Business Management 

Traditional document generation systems often struggle to strike a balance between flexibility and usability: they either rely on rigid templates or require users to possess programming skills. To address this issue, this paper proposes a web-based document generation system built on a user-configurable template architecture. The main contribution of this work is the design and implementation of a web-based document generation system that integrates a graphical template configuration interface, ...

Artificial Intelligence 

This study quantifies and compares the macroeconomic effects of public consumption versus public investment in Sierra Leone, a fragile post-conflict economy facing severe fiscal constraints, where understanding the core drivers of growth is paramount. We employ the Structural Vector Auto-regression (SVAR) approach, utilizing annual time series data from 2000 to 2024 to estimate the fiscal multipliers individually. Methodologically, this study contributes by estimating two separate SVAR models wi...

Business Finance and Investment 

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to enhance their effectiveness in reducing FFI by learning from historical energy consumption trends and emissions data. By attributing specific quantities to key optimization components such as combustion efficiency, renewable integration, and AI impact, we derive a detailed matrix that quantifies their...

Artificial Intelligence  Information Management  Grid Computing  Algebra  Machine Learning 

Background: Bone defects following cyst enucleation raise the question of whether bone grafting is necessary. This study aimed to evaluate spontaneous bone regeneration using a 3D segmentation-based method. Materials and Methods: Seven patients who underwent cyst enucleation at the Department of Surgical Dentistry in Casablanca were included. Cone-beam CT scans were performed at baseline (T0) and 12 months postoperatively (T1). A 3D imaging software was used to measure the initial cyst volume an...

Dentistry 

The effectiveness of implementing vector control strategies for malaria is assessed by monitoring vector dynamics and their role in malaria transmission. This study was carried out between September 2016 and August 2017 in Kintele and Djoumouna, and in August 2019 in Djoumouna alone. The objective of this study was to identify the Anopheles species involved in malaria transmission, their dynamics over time, and to evaluate the entomological indices based on the types of bedrooms investigated. An...

Infectious Diseases  Immunology 

Artificial Intelligence (AI) has emerged as a promising approach to enhance disease surveillance and support outbreak prediction in public health. Conventional surveillance systems, while foundational, are often limited by reporting delays, under-detection, and challenges in handling large and complex data streams. Recent advances in AI including machine learning, natural language processing, and deep learning offer new opportunities to address these limitations by enabling automated case detect...

Artificial Intelligence