System supports for protocol and application adaptation in vertical handoffs
In overlay networks, the network characteristics before and after a vertical handoff would be drastically different. Consequently, in this paper, we propose an end-to-end based scheme to support protocol and application adaptation in vertical handoffs ...
Lin, Y.C. +3 more
core +1 more source
Abstract The growing demand for data literacy across disciplines has intensified the need for instructional approaches that balance technical rigor with accessibility, engagement, and real‐world relevance. In data science education, code‐centric instruction can support technical depth, but it may also divert novice learners’ attention toward syntax and
Dursun Delen
wiley +1 more source
Do Humans and GAI See Eye to Eye? Implications of LLM Scoring Volatility in Supplier Evaluations
ABSTRACT This study compares Generative Artificial Intelligence (GAI) to human procurement professionals on supplier evaluation tasks. Using Structural Topic Modeling (STM) on 123 government supplier bids from 31 projects solicited by the State of Ohio between January 2023 and December 2024, we compare evaluations from three reasoning models (o3, Grok ...
Finnegan A. McKinley +2 more
wiley +1 more source
Medication Errors in Perioperative Nursing: A Scoping Review
ABSTRACT Aim To map the current literature on the characteristics of nurse‐related medication errors in perioperative healthcare settings. Design A scoping review. Methods This scoping review used the five‐stage framework developed by Arksey and O'Malley (2005).
Chamila Wickramasinghe +2 more
wiley +1 more source
Intershift Communication Between Caregivers: Patient Handoffs
\ud INTERSHIFT COMMUNICATION BETWEEN CAREGIVERS:\ud PATIENT HANDOFFS\ud by\ud Deborah A. Clifton\ud Master of Science in Nursing\ud California State University, Chico\ud Spring 2009\ud The patient handoff process is a transfer of patient care between ...
Clifton, Deborah A.
core
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Relay-supporting Archives: Requirements and Progress
We characterize long-term preservation of digital content as an extended relay in time, in which repeated handoffs of information occur independently at every architectural layer: at the physical layer, where bits are handed off between storage systems;
Greg Janée, James Frew, Terry Moore
doaj +2 more sources
Clinical handover within the emergency care pathway and the potential risks of clinical handover failure (ECHO) : primary research [PDF]
Background and objectives: Handover and communication failures are a recognised threat to patient safety. Handover in emergency care is a particularly vulnerable activity owing to the high-risk context and overcrowded conditions.
Chessum, Peter +8 more
core
Redefining the role of the transfusion medicine physician in the era of advanced cellular therapies
Transfusion, EarlyView.
Eric A. Gehrie, Kevin J. Land
wiley +1 more source
Superlattice Architectures for Advancing Photothermal Catalysis: Mechanisms and Applications
This paper provides a timely overview of superlattice architectures in photothermal catalysis, with a systematic review on mechanisms at both atomic and macroscopic scales in different processes, challenges, and future opportunities. ABSTRACT Photothermal catalysis has emerged as a powerful strategy to complement photocatalysis by harnessing full ...
Yuzhao Wu +5 more
wiley +1 more source

