Results 121 to 130 of about 139,695 (308)
Certifying Entanglement Dimensionality by k-Reduction Moments
PRX QuantumIn this paper, we combine the k-reduction map, the moment method, and randomized measurements into a practical protocol for certifying the entanglement dimensionality. Our approach is based on the observation that a state with entanglement dimensionality
Changhao Yi, Xiaodi Li, Huangjun Zhu
doaj +1 more source
FEBS Open Bio, EarlyView.5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley +1 more source
Chapter 4 Dimensionality reduction
, 2008 This chapter introduces and defines the problem of dimensionality reduction, discusses the topics of the curse of the dimensionality and the intrinsic dimensionality and then surveys non-probabilistic methods for dimensionality reduction, that is ...
core
Nonlinear dimensionality reduction for visualization
, 2013 The visual interpretation of data is an essential step to guide any further processing or decision making. Dimensionality reduction (or manifold learning) tools may be used for visualization if the resulting dimension is constrained to be 2 or 3.
20th International Conference on Neural Information Processing(ICONIP 2013) +2 more
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Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function
FEBS Open Bio, EarlyView.We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke +4 more
wiley +1 more source
Dimensionality reduction on vector spaces using complex random matrices
reservedIn this thesis we present part of a wider work regarding dimensionality reduction on the Euclidean space. Specifically we focus on finding concentration bounds for sums of Rademacher Chaoses.
MORETTI, SIMONE
core
Tailored Scalable Dimensionality Reduction
, 2018 Although there is a rich literature on scalable methods for dimensionality reduction, the focus has been on widely applicable approaches which, in certain applications, are far from optimal or not even applicable.
van den Boom, Willem
core
Dimensionality Reduction Using Factor Analysis
, 2006 In many pattern recognition applications, a large number of features are extracted in order to ensure an accurate classification of unknown classes. One way to solve the problems of high dimensions is to first reduce the dimensionality of the data to a ...
Khosla, Nitin
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Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Reduction algorithm based on supervised discriminant projection for network security data
Tongxin xuebao, 2021 In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality ...
Fangfang GUO +3 more
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