Results 221 to 230 of about 33,813 (262)

How to Conduct a Multi‐Domain Systematic (Literature) Review? Guidelines Using The Lotus Protocol

Psychology &Marketing, EarlyView.
ABSTRACT Complex challenges increasingly demand multidisciplinary research across intersecting knowledge domains. However, existing systematic (literature) review protocols offer limited guidance and tend to confine scholars to single‐domain or single‐intersection reviews.
Bart J. A. van Bueren, Weng Marc Lim, Naveen Donthu, Kevin Argus, Julian M. Water‐Lynch, Alvedi Sabani, Mark A. A. M. Leenders   +6 more
wiley   +1 more source

Hartree-Fock interaction in superconducting condensate fractals. [PDF]

Beilstein J Nanotechnol
Nikonov EG, Chen Y, Doria MM, Shanenko AA.   +3 more
europepmc   +1 more source

Fail to Win: How Schadenfreude and Competitive Traits Predict Download Intention in Mobile Game Fail Ads

Psychology &Marketing, EarlyView.
ABSTRACT In mobile game advertising, failure‐depicting advertisements, which intentionally showcase unsuccessful gameplay scenarios, have emerged as an unexpectedly effective promotional strategy. This study examines the psychological mechanisms underlying the effectiveness of fail advertisements, with particular attention to the emotional response of ...
Moon Joonhyun, Yeolib Kim, Boreum Choi, Hanbyul Choi   +3 more
wiley   +1 more source

Quantitative Comparison of Multi‐Echo Spin Echo and Multi‐Echo Gradient Echo Myelin Water Imaging in a Panel of Mbp Enhancer‐Edited Mouse Lines

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate the correspondence between myelin water fraction (MWF) estimates derived from multi‐echo spin echo (MESE) and multi‐echo gradient echo (MGRE) imaging in fixed mouse brain tissue, using a panel of myelin basic protein (Mbp) enhancer‐edited mouse lines exhibiting graded hypomyelination.
Vladimir Grouza, Yawen Shi, Sean Goldfarb, Klaudia M. Bednarz, Isabella Gomez, Marius Tuznik, Zhe Wu, Hooman Bagheri, Katherine A. Siminovitch, Alan C. Peterson, Thomas Stroh, David A. Rudko   +11 more
wiley   +1 more source

Decoding the unseen: unsupervised anomaly detection in metal-organic frameworks for discovery beyond the norm. [PDF]

Chem Sci
Alimardani H, Abaei S, Asgari M.
europepmc   +1 more source

Solving for Blameless and Optimal Control Under Prioritized Safety Constraints

Optimal Control Applications and Methods, EarlyView.
Summary of the proposed method for solving for blameless and optimal control sequences. ABSTRACT In many safety‐critical optimal control problems, users may request multiple safety constraints that are jointly infeasible due to external factors such as subsystem failures, unexpected disturbances, or fuel limitations.
Natalia Pavlasek, Behçet Açıkmeşe, Meeko Oishi, Claus Danielson   +3 more
wiley   +1 more source

The effects of single versus successive warm summers on an intertidal community

Oikos, EarlyView.
To accurately predict how organisms and ecological communities will respond to future conditions caused by climate change, we must consider the temporal dynamics of environmental stressors, including the effects of repeated exposures to stress. We performed a two‐year passive thermal manipulation in coastal British Columbia, Canada to determine how ...
Amelia V. Hesketh, Cassandra A. Konecny, Sandra M. Emry, Christopher D. G. Harley   +3 more
wiley   +1 more source

From Data to Decisions: How Machine Learning and Generative Artificial Intelligence Are Redefining Precision Medicine in Kidney Transplantation

Organ Medicine, EarlyView.
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley   +1 more source

ACM and rectangular images: Overlapping partitions, implementation, and periodicity analysis. [PDF]

PLoS One
O'Dea A.
europepmc   +1 more source

Deep learning‐based H&E‐derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response

The Journal of Pathology, EarlyView.
Abstract Over recent years, several deep learning (DL) models have been presented to predict colorectal cancer (CRC) patient survival directly from haematoxylin and eosin (H&E)‐stained routine whole‐slide images (WSIs). Unlike traditional studies that rely on manually defined histopathological features, weakly supervised DL allows training directly on ...
Nic G Reitsam, Xiaofeng Jiang, Junhao Liang, Bianca Grosser, Veselin Grozdanov, Chiara ML Loeffler, Marco Gustav, Tim Lenz, Hannah S Muti, Zunamys I Carrero, Nicholas P West, Philip Quirke, Sebastian Foersch, Moritz Jesinghaus, Wolfram Müller, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Jitendra Jonnagaddala, Nicholas J Hawkins, Robyn L Ward, Heike I Grabsch, Bruno Märkl, Jakob N Kather   +23 more
wiley   +1 more source