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Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study.
J Med Internet Res
January 2025
Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
View Article and Find Full Text PDFSabatier Principle Inspired Bifunctional Alloy Interface for Stable and High-Depth Discharging Zinc Metal Anodes.
Angew Chem Int Ed Engl
January 2025
PolyU: The Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, CHINA.
Achieving stable Zn anodes is essential for advancing high-performance Zn metal batteries. Here, we propose a Sabatier principle inspired bifunctional transition-metal (TM) interface to enable homogeneous Zn dissolution during discharging and dendrite-free Zn deposition during charging. Among various TM-coated Zn (TM@Zn) electrodes, Cu@Zn exhibits the highest reversibility and structural stability, attributed to the optimal interaction between Cu and Zn.
View Article and Find Full Text PDFResearch suggests that the quality of care provided by family members may be influenced by the quality of relationship they have with the person living with dementia. The study investigated this in the context of assisting with daily activities. The quality of the relationship was assessed using the conceptual framework of relationship continuity/discontinuity which focuses on whether the carer experiences their relationship as continuous or discontinuous with the pre-dementia relationship.
View Article and Find Full Text PDFDeveloping a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV.
Integr Pharm Res Pract
January 2025
Facultad de Ciencias de la Salud, Universidad Internacional de Valencia, Valencia, España.
Background: In the realm of Evidence-Based Medicine, introduced by Gordon Guyatt in the early 1990s, the integration of machine learning technologies marks a significant advancement towards more objective, evidence-driven healthcare. Evidence-Based Medicine principles focus on using the best available scientific evidence for clinical decision-making, enhancing healthcare quality and consistency by integrating this evidence with clinician expertise and patient values. Patient-Reported Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs) have become essential in evaluating the broader impacts of treatments, especially for chronic conditions like HIV, reflecting patient health and well-being comprehensively.
View Article and Find Full Text PDFEstablishment and Maintenance of a Digital Therapeutic Alliance in People Living With Negative Symptoms of Schizophrenia: Two Exploratory Single-Arm Studies.
JMIR Ment Health
January 2025
Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, United States.
Background: Evidence-based digital therapeutics represent a new treatment modality in mental health, potentially providing cost-efficient, accessible means of augmenting existing treatments for chronic mental illnesses. CT-155/BI 3972080 is a prescription digital therapeutic under development as an adjunct to standard of care treatments for patients 18 years of age and older with experiential negative symptoms (ENS) of schizophrenia. Individual components of CT-155/BI 3972080 are designed based on the underlying principles of face-to-face treatment.
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