Results 101 to 110 of about 7,600,413 (382)

Integrative miRNOMe profiling reveals the miR‐195‐5p–CHEK1 axis and its impact on luminal breast cancer outcomes

open access: yesMolecular Oncology, EarlyView.
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková   +14 more
wiley   +1 more source

Structural and functional characterization of chitinase from carnivorous plant Drosera adelae

open access: yesFEBS Open Bio, EarlyView.
A class I chitinase from the carnivorous plant Drosera adelae was expressed and purified using a yeast system, revealing high enzymatic activity. Structural analyses of the catalytic and chitin‐binding domains identified key tyrosine residues involved in substrate binding, offering insights into the enzyme's adaptation for insect digestion.
Kazunari Yoneda   +7 more
wiley   +1 more source

Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression

open access: yesSensors
The substantial data volume within dynamic point clouds representing three-dimensional moving entities necessitates advancements in compression techniques. Motion estimation (ME) is crucial for reducing point cloud temporal redundancy.
Yiting Shao, Wei Gao, Shan Liu, Ge Li
doaj   +1 more source

BIM RECONSTRUCTION: AUTOMATED PROCEDURAL MODELING FROM POINT CLOUD DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The reconstruction of Building Information Modeling objects for as-built modeling is currently the subject of ongoing research. A popular method is to extract structure information from point cloud data to create a set of parametric objects.
M. Bassier, L. Mattheuwsen, M. Vergauwen
doaj   +1 more source

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression [PDF]

open access: yesInternational Conference on Information Photonics, 2019
Efficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions. In this paper, we present a novel data-driven geometry compression
Maurice Quach, G. Valenzise, F. Dufaux
semanticscholar   +1 more source

Molecular determinants of signal transduction in tropomyosin receptor kinases

open access: yesFEBS Open Bio, EarlyView.
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley   +1 more source

Some Concepts of Modern Algebraic Geometry: Point, Ideal and Homomorphism [PDF]

open access: yes, 1994
Starting from classical algebraic geometry over the complex numbers (as it can be found for example in Griffiths and Harris it was the goal of these lectures to introduce some concepts of the modern point of view in algebraic geometry.
Schlichenmaier, Martin
core   +2 more sources

Hyperbolic Unfoldings of Minimal Hypersurfaces

open access: yes, 2018
We study the intrinsic geometry of area minimizing (and also of almost minimizing) hypersurfaces from a new point of view by relating this subject to quasiconformal geometry. For any such hypersurface we define and construct a so-called S-structure which
Lohkamp, Joachim
core   +1 more source

Lossy Point Cloud Geometry Compression via End-to-End Learning [PDF]

open access: yesIEEE transactions on circuits and systems for video technology (Print), 2019
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based Variational AutoEncoder (VAE) to efficiently compress the Point Cloud Geometry (PCG).
Jianqiang Wang   +3 more
semanticscholar   +1 more source

Central Dysmyelination in SSADH‐Deficient Humans and Mice

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Succinic semialdehyde dehydrogenase deficiency (SSADHD) is an inherited metabolic disorder characterized by an accumulation of γ‐aminobutyric (GABA). In addition to its synaptic role as an inhibitory neurotransmitter, GABA also plays an important role in myelination.
Itay Tokatly Latzer   +11 more
wiley   +1 more source

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