Factors Influencing Mobile Payment Adoption and Its Role in Promoting Financial Inclusion: An Integrated Reflective Model with Theory of Planned Behavior
Abstract This paper investigates the factors influencing mobile payment adoption and its contribution to financial inclusion, which seems sparse and lacking in the literature. Over 75% of Palestinian adults are excluded from financial services by banks and other non-bank financial institutions, so mobile payment is expected to bridge this gap. A quantitative approach was employed […]
Attitudes toward the Integration of Radiographers into the First-Line Interpretation of Imaging Using the Red Dot System
Abstract To apply the radiation protection optimization concept, the current study compares the average doses utilized to produce the most popular CT scans of neck and cervical spine at the Al-Makkased Hospital in Jerusalem and its affiliated medical facilities around the world. The study employs a hybrid research methodology concept. The current study compares the […]
Efficient Method to Message-Image Cryptography Using Reordered Image-Key
Color image may be secret or holding secret data, also secret messages may be so confidential. To protect these data, we have to use a simple and efficient method. In this research a method of data encryption-decryption will be presented. The suggested method will use a complicated PK to apply image encryption/decryption using XORing operation, […]
Gadolinium contrast agents- challenges and opportunities of a multidisciplinary approach: Literature review
Contrast agents is used in magnetic resonance imaging (MRI) to improve the visibility of the details of the organ structures. Gadolinium-based contrast agent (GBCA) has been used since 1988 in MRI for diagnostic and follow-up of patients, the gadolinium good properties make it an effective choice for enhance the signal in MRI by increase its […]
The Potential and Concerns of Using AI in Scientific Research: ChatGPT Performance Evaluation
Background: Artificial intelligence (AI) has many applications in various aspects of our daily life, including health, criminal, education, civil, business, and liability law. One aspect of AI that has gained significant attention is natural language processing (NLP), which refers to the ability of computers to understand and generate human language. Objective: This study aims to […]
Wearable Devices and Explainable Unsupervised Learning for COVID-19 Detection and Monitoring
Abstract Despite the declining COVID-19 cases, global healthcare systems still face significant challenges due to ongoing infections, especially among fully vaccinated individuals, including adolescents and young adults (AYA). To tackle this issue, cost-effective alternatives utilizing technologies like Artificial Intelligence (AI) and wearable devices have emerged for disease screening, diagnosis, and monitoring. However, many AI solutions […]
RETRACTED ARTICLE: Predicting safety hazards and safety behavior of underground coal mines
Abstract Most coal mine accidents are attributed to the miner’s unsafe behavior. Regulating the safety attitude and thus enhancing miners’ safety behavior are significant for accident prevention. Capturing the interrelations between risks is important to understand and promote coal mining safety thoroughly. Therefore, this paper proposes the intelligent accident predictive framework (IAPF) for monitoring and […]
Internal Auditory Canal (IAC) and Cerebellopontine Angle (CPA): Comparison between T2-weighted SPACE and 3D-CISS sequences at 1.5T
Abstract MR cisternography relies on three-dimensional (3D) heavily T2-weighted imaging techniques. It can be used to assess the internal auditory canal (IAC) and Cerebellopontine Angle (CPA) anatomy and pathology. There are two techniques usually used for this purpose; T2-weighted SPACE and Three-Dimensional Constructive Interference in Steady State (3D-CISS). The current study aims to evaluate differences […]