Results 71 to 80 of about 440,549 (202)

Testing low complexity affine-invariant properties

open access: yes, 2012
Invariance with respect to linear or affine transformations of the domain is arguably the most common symmetry exhibited by natural algebraic properties.
Arnab Bhattacharyya   +2 more
core   +1 more source

A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval

open access: yes, 2020
Radon transform is a popular mathematical tool for shape analysis. However, it cannot handle affine deformation. Although its extended version, trace transform, allow us to construct affine invariants, they are less informative and computational ...
Bin Wang   +3 more
core   +1 more source

Invariants and separating morphisms for algebraic group actions [PDF]

open access: yes, 2014
The first part of this paper is a refinement of Winkelmann’s work on invariant rings and quotients of algebraic groups actions an affine varieties where we take a more geometric point of view.
Kraft, Hanspeter   +5 more
core   +1 more source

HS‐AFM Reveals Hierarchical RNA Folding Driving Condensate Assembly and Material States

open access: yesSmall, EarlyView.
High‐speed atomic force microscopy reveals the nanoscale pathway of RNA condensate formation, from individual RNA folding to higher‐order assembly. Quantitative analyses of fusion dynamics and nanomechanical properties distinguish liquid‐like poly A condensates from solid‐like total RNA assemblies, providing a direct link between RNA self‐assembly and ...
S. M. Neaz Mahmud   +5 more
wiley   +1 more source

Lower Bounds for Constant Query Affine-Invariant LCCs and LTCs

open access: yes, 2017
Affine-invariant codes are codes whose coordinates form a vector space over a finite field and which are invariant under affine transformations of the coordinate space.
Arnab Bhattacharyya, Sivakanth Gopi
core   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

open access: yesSmart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin   +10 more
wiley   +1 more source

Single‐Vesicle Functional Nanophenotyping Reveals Heterogeneous PD‐L1 Accessibility in Triple‐Negative Breast Cancer

open access: yesSmall Methods, EarlyView.
Graphical Abstract. High‐speed atomic force microscopy enables real‐time, label‐free visualization of antibody interactions with individual extracellular vesicles. By quantifying binding frequency and dwell time, this approach reveals functional PD‐L1 accessibility that cannot be inferred from protein abundance alone, uncovering nanoscale heterogeneity
Reon Imakawa   +10 more
wiley   +1 more source

Strain‐Induced NbC Precipitation as a Governing Mechanism for Hot Deformation Resistance in CrNiMnMoB Ultrahigh‐Strength Steels

open access: yessteel research international, EarlyView.
Strain‐induced NbC precipitation governs hot‐deformation resistance in CrNiMnMoB ultrahigh‐strength steel by suppressing dynamic recrystallization, increasing activation energy, and refining martensitic substructures. The precipitation response is controlled by temperature, supersaturation, and strain rate, with slow deformation promoting extensive NbC
Atef Hamada   +6 more
wiley   +1 more source

Improving tumor marker comparability: A case series on harmonizing carbohydrate antigen 19‐9 and carbohydrate antigen 15‐3 measurements across diverse measurement systems

open access: yesVIEW, EarlyView.
CA19‐9 and CA15‐3 measurements from seven contemporary immunoassay systems were compared using 464 and 499 native serum samples, respectively. Inter‐system correlations were higher for CA15‐3 than for CA19‐9, and only a limited number of systems met biological variation‐derived bias criteria.
Jia Li   +10 more
wiley   +1 more source

Basis Networks: Learning basis functions for free‐form triangulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley   +1 more source

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