Results 161 to 170 of about 100,154 (263)

No One is Illegal Between City and Nation

open access: yesStudies in Social Justice, 2010
By challenging the state's prerogative to distinguish between insiders and outsiders, citizens and non-citizens, political movements by and in support of migrants and refugees are forcing questions about what criteria, if any, can and should be used to ...
Peter Nyers
doaj  

Application of $L_{1}-L_{2}$ Regularization in Sparse-View Photoacoustic Imaging Reconstruction

open access: yesIEEE Photonics Journal
Photoacoustic imaging (PAI) is an advanced technique used to reconstruct the distribution of energy absorption in tissues, even when ultrasound signals are incomplete and noisy.
Mengyu Wang   +3 more
doaj   +1 more source

Structured low rank tracker with smoothed regularization

open access: yes, 2016
In this paper, we propose a structured low rank learning algorithm with smoothed regularization for robust object tracking, under particle filter framework.
Li XM(李小毛)   +3 more
core  

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

open access: yesAdvanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su   +7 more
wiley   +1 more source

Enhancing All‐Solid‐State Batteries Performance Through Thickness Control and Surface Passivation of Thermally Evaporated Lithium Metal Anodes

open access: yesAdvanced Science, EarlyView.
This study demonstrates that thermally evaporated lithium anodes combined with LiF passivation provide a high‐performance thin anode design for next‐generation ASSBs. This approach increases the critical current density from 1.6 to 2.6 mA cm−2, enabling full cells to achieve over 500 and 300 cycles at 1.5 and 3 mA cm−2, respectively, outperforming even
Jinsong Zhang   +4 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

Wavelet Domain Image Restoration With Adaptive Edge-Preserving Regularization

open access: yes
In this paper we consider a wavelet-based edge preserving regularization scheme for use in linear image restoration problems. Our efforts build on a collection of mathematical results indicating that wavelets are especially useful for representing ...
Murat Belge   +3 more
core  

Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices

open access: yes, 2015
Trace regression models have received considerable attention in the context of matrix completion, quantum state tomography, and compressed sensing.
Hein, Matthias   +5 more
core  

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

open access: yesAdvanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun   +9 more
wiley   +1 more source

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