Results 111 to 120 of about 26,722,291 (305)

Implicit neural representation for potential field geophysics

Scientific Reports
The recent use of spatial coordinate features in multilayer perceptron (MLP) neural networks provides opportunities for novel applications in potential field geophysics.
Luke Thomas Smith, Tom Horrocks, Naveed Akhtar, Eun-Jung Holden, Daniel Wedge   +4 more
doaj   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

FEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt, Ana‐Maria Sandru, Georg Vucak, Sebastian Didusch, Biljana Riemelmoser, Karin Ehrenreiter, Markus Hartl, Lukas A. Huber, Manuela Baccarini   +8 more
wiley   +1 more source

Data-driven and Model-based Verification: a Bayesian Identification Approach [PDF]

, 2015
This work develops a measurement-driven and model-based formal verification approach, applicable to systems with partly unknown dynamics. We provide a principled method, grounded on reachability analysis and on Bayesian inference, to compute the ...
Haesaert, S., S. Haesaert, P.M.J. Van den Hof, Van den Hof, P.M.J.; id_orcid, A. Abate, Hof, PMJ Paul van den, Abate, A., Van den Hof, P.M.J., Abate, A Alessandro, Haesaert, S Sofie   +9 more
core   +2 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Data-driven Technologies : Challenges for Privacy and Data Protection Law

Data-driven technologies introduce new privacy risks that are currently not (explicitly) addressed by European data protection law. Against this backdrop, the chapter discusses the general conceptual shortcomings of the GDPR, followed by an overview of ...
Ebers, Martin,, Sein, Karin,
core  

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

DATASET2050 D2.2 - Data-driven Model [PDF]

, 2016
The purpose of this document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to ...
Perez, D., Cook, A.J., Gurtner, G., Cristobal, S., Ureta, H., Paul, A.   +5 more
core  

Machine learning-predicted chromatin organization landscape across pediatric tumors

Scientific Reports
Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis through their effects on 3D genome folding. Recent advances in whole-genome sequencing have enabled large-scale profiling of SVs across diverse tumors, yet ...
Ketrin Gjoni, Shu Zhang, Rachel E. Yan, Bo Zhang, Daniel Miller, Jeffrey P. Greenfield, Adam Resnick, Nadia Dahmane, Katherine S. Pollard   +8 more
doaj   +1 more source

Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers

Applied Sciences
This study investigates data-driven business model innovation (DDBMI) for incumbent manufacturers, underscoring its importance in various strategic and managerial contexts. Employing topic modeling, the study identifies nine key topics of DDBMI.
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer   +3 more
doaj   +1 more source

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source