Results 91 to 100 of about 36,815 (301)

On the Added Value of Quad-Pol Data in a Multi-Temporal Crop Classification Framework Based on RADARSAT-2 Imagery

open access: yesRemote Sensing, 2016
Polarimetric SAR images are a rich data source for crop mapping. However, quad-pol sensors have some limitations due to their complexity, increased data rate, and reduced coverage and revisit time.
Arantzazu Larrañaga   +1 more
doaj   +1 more source

TESTING SEPARABILITY OF JAPANESE DEMAND FOR MEAT AND FISH WITHIN DIFFERENTIAL DEMAND SYSTEMS [PDF]

open access: yes
The separability of meat products from fish products is investigated to gain a better understanding of Japanese consumer choices in protein demand. Rather than view fish as a single homogeneous commodity, fish and seafood are categorized into several ...
Eales, James S., Roheim, Cathy A.
core  

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

open access: yesAdvanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li   +6 more
wiley   +1 more source

Feasible Multivariate Nonparametric Estimation Using Weak Separability [PDF]

open access: yes
One of the main practical problems of nonparametric regression estimation is the curse of dimensionality. The curse of dimensionality arises because nonparametric regression estimates are dependent variable averages local to the point at which the ...
Joris Pinkse
core  

3D‐Mixer‐Assisted High‐Entropy Doping of LiNiO2 for Co‐Free Ni‐Rich Cathodes in Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
High‐entropy doping of Co‐free Ni‐rich LiNiO2 cathodes is achieved through a scalable 3D mixing process. Multi‐element incorporation stabilizes the layered structure, alleviates Li/Ni disorder and electrode swelling, and enhances cycling stability. This approach underscores the potential of high‐entropy strategies to deliver structurally robust and ...
Seung Ri Kim   +6 more
wiley   +1 more source

Generalised versions of separable decompositions applicable to bipartite entangled quantum states

open access: yesNew Journal of Physics, 2019
The investigation of separable states in quantum theory has been driven by the notion that they are highly classical, in that they do not demonstrate nonlocality, and are in some contexts unable to support non-classical computation. The converse question,
Hussain Anwar   +3 more
doaj   +1 more source

Sequential + separable vs sequentially separable and another variation on selective separability

open access: yesOpen Mathematics, 2013
AbstractA space X is sequentially separable if there is a countable D ⊂ X such that every point of X is the limit of a sequence of points from D. Neither “sequential + separable” nor “sequentially separable” implies the other. Some examples of this are presented and some conditions under which one of the two implies the other are discussed. A selective
A. Bella   +2 more
openaire   +6 more sources

Toward a unified approach to testing for weak separability [PDF]

open access: yes
In this paper we propose a unified framework for testing weak separability. We present a new three-step procedure, which is a joint test of necessary and sufficient conditions that takes account of possible measurement error and incomplete adjustment. We
Thomas Elger   +3 more
core  

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

open access: yesAdvanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo   +14 more
wiley   +1 more source

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