Supporting islet function in a PVDF membrane based macroencapsulation delivery device by solvent non-solvent casting using PVP.

Type 1 diabetic (T1D) patients are life-long dependent on insulin therapy to keep their blood glucose levels under control. An alternative cell-based therapy for exogenous insulin injections is clinical islet transplantation (CIT). Currently the widespread application of CIT is limited, due to risks associated with the life-long use of immunosuppressive drugs to prevent rejection of donor cells.

The effect of H occupancy modes in small and large cages of H-tetrahydrofuran hydrates on the hydrates' stability and H storage capacity.

Hydrogen storage as hydrates is one of the most environmentally benign approaches to store hydrogen as it requires only water and traces of promoters. However, the scalability of storing hydrogen hydrate formation is hindered by the limited understanding of the structure, dynamics and energetics of hydrogen and promoters in the hydrate cages. In this study, molecular dynamics simulation configurations with different occupancy modes of H and tetrahydrofuran (THF) in the hydrate cages are investigated under the following scenarios: (i) two H molecules occupying the small cages, (ii) occupancy of H molecules in the THF-free large cages, and (iii) co-occupancy of H and THF in one large cage.

Euclidean Distance based Adaptive Sampling Algorithm for Disassociating Transient and Oscillatory Components of Signals.

Neural signals encode information through oscillatory and transient components. The transient component captures rapid, non-rhythmic changes in response to internal or external events, while the oscillatory component reflects rhythmic patterns critical for processing sensation, action, and cognition. Current spectral and time-domain methods often struggle to distinguish the two components, particularly under sharp transitions, leading to interference and spectral leakage.

Computed tomography imaging findings in head injury victims of conflict in Northern Ethiopia treated at the University of Gondar comprehensive specialized hospital.

Background: Head injuries pose a major global health issue, especially among young adults in developing countries. Data on head trauma patterns in conflict situations is scarce, and computed tomography (CT) is the main imaging method for evaluating acute head injuries.

Objectives: This study aimed to assess the CT scan patterns of traumatic head injury among northern Ethiopian victims of war who were treated at the University of Gondar Comprehensive Specialized Hospital during the armed conflict in 2020 and 2021.

Ethical and regulatory considerations in the use of AI and machine learning in nursing: A systematic review.

Aim: This study systematically explores the ethical and regulatory considerations surrounding the integration of artificial intelligence (AI) and machine learning (ML) in nursing practice, with a focus on patient autonomy, data privacy, algorithmic bias, and accountability.

Background: AI and ML are transforming nursing practice by enhancing clinical decision-making and operational efficiency. However, these technologies present significant ethical challenges related to ensuring patient autonomy, safeguarding data privacy, mitigating algorithmic bias, and ensuring transparency in decision-making processes.