Results 231 to 240 of about 204,547 (297)

Developing a Mobile App for Monitoring Medical Record Changes Using Blockchain: Development and Usability Study (Preprint)

, 2020
MinDong Sung, Sung-Jun Park, Sung-Jae Jung, Eunsol Lee, Jaehoon Lee, Yu Rang Park   +5 more
openalex   +1 more source

A Clarification on Quantum‐Metric‐Induced Nonlinear Transport

Advanced Science, Volume 13, Issue 7, 3 February 2026.
How does the quantum metric truly govern the nonlinear transport? The longstanding theoretical discrepancies are resolved in quantum‐metric‐induced nonlinear transport and the correct intrinsic nonlinear conductivity is identified. Furthermore, a toy model is engineered to suppress the competing effects, uniquely highlighting the role of quantum metric
Xiao‐Bin Qiang, Tianyu Liu, Zi‐Xuan Gao, Hai‐Zhou Lu, X. C. Xie   +4 more
wiley   +1 more source

Fostering open science and responsible research practices: A pre-post study. [PDF]

F1000Res
Cenci J, Correa MB, Bouter L, Moher D, Bronkhorst E, Franco MC, Mendes FM, Pereira-Cenci T, Huysmans MC, Cenci MS.   +9 more
europepmc   +1 more source

A Digital Toolkit for Weight Loss Maintenance in European Adults (NoHoW): A 2×2 Factorial Randomized Controlled Trial (Preprint)

R. James Stubbs, Cristiana Duarte, Clarissa Dakin, António L. Palmeira, Falko F. Sniehotta, Graham W Horgan, Sofus C. Larsen, Marta M Marques, Jorge Encantado, Elizabeth H Evans, Jake Turicchi, Ruari O'Driscoll, Sarah Scott, Beth Pearson, Lauren Ramsey, Marie-Louise Kirkegaard Mikkelsen, Inês Santos, Marcela Matos, Pedro J Teixeira, Berit L Heitmann   +19 more
openalex   +1 more source

Measuring Acceptability and Engagement of the Keep It Up! Internet-based HIV Prevention Randomized Controlled Trial for Young Men who have Sex with Men (Preprint)

, 2018
Krystal Madkins, David Moskowitz, Kevin Moran, Trey V. Dellucci, Brian Mustanski   +4 more
openalex   +1 more source

Meta Reinforcement Learning for Automated Cyber Defence

Applied AI Letters, Volume 7, Issue 1, February 2026.
ABSTRACT Reinforcement learning (RL) solutions have shown considerable promise for automating the defense of networks to cyber attacks. However, a limitation to their real world deployment is the sample efficiency and generalizability of RL agents. This means that even small changes to attack types require a new agent to be trained from scratch.
Andrew Thomas, Nick Tillyer
wiley   +1 more source

Untold reasons for declining review invitations. [PDF]

Can Med Educ J
Matsubara S.
europepmc   +1 more source

The role of radiated non-linear electromagnetic waves from initial DNAs in formation of the little brain, neural circuits and other decision centers: Determining time of death by considering evolutions of waves of death (Preprint)

, 2019
Alireza Sepehri
openalex   +1 more source

Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study (Preprint)

, 2020
Hongwook Kwon, Ho Heon Kim, Jaeil An, Jae‐Ho Lee, Yu Rang Park   +4 more
openalex   +1 more source

Efficient Few‐Shot Learning in Remote Sensing: Fusing Vision and Vision‐Language Models

Applied AI Letters, Volume 7, Issue 1, February 2026.
ABSTRACT Remote sensing has become a vital tool across sectors such as urban planning, environmental monitoring, and disaster response. Although the volume of data generated has increased significantly, traditional vision models are often constrained by the requirement for extensive domain‐specific labelled data and their limited ability to understand ...
Jia Yun Chua, Argyrios Zolotas, Miguel Arana‐Catania   +2 more
wiley   +1 more source