Results 81 to 90 of about 454,409 (253)

Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption

open access: yes, 2020
The sparse representation classifier (SRC) has been utilized in various classification problems, which makes use of L1 minimization and works well for image recognition satisfying a subspace assumption.
Chen, Li   +3 more
core  

Simvastatin Restores Uteroplacental Hemodynamics and Trophoblast Function in Obstetric Antiphospholipid Syndrome in a Placenta‐on‐a‐Chip Model

open access: yesAdvanced Healthcare Materials, EarlyView.
Simvastatin mitigates placental hypoperfusion in OAPS by ameliorating abnormal uteromaternal hemodynamics and enhancing trophoblast invasion via optimized endothelial cell interactions under pathological shear stress, as evidenced by results from a placenta‐on‐a‐chip platform.
Hongli Liu   +10 more
wiley   +1 more source

3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface

open access: yesAdvanced Materials, EarlyView.
3D printed MRI‐compatible tissue‐like neural electrodes tailored to individual gyral patterns. This honeycomb‐inspired printable gel electrode (HiPGE) employs a bioinspired architecture with soft hydrogels, engineered to match the softness of brain tissue.
Marzia Momin   +12 more
wiley   +1 more source

Collaborative Representation based Classification for Face Recognition [PDF]

open access: yes, 2014
By coding a query sample as a sparse linear combination of all training samples and then classifying it by evaluating which class leads to the minimal coding residual, sparse representation based classification (SRC) leads to interesting results for ...
Feng, Xiangchu   +4 more
core  

Confident Kernel Sparse Coding and Dictionary Learning

open access: yes, 2019
In recent years, kernel-based sparse coding (K-SRC) has received particular attention due to its efficient representation of nonlinear data structures in the feature space.
Hammer, Barbara, Hosseini, Babak
core   +1 more source

Exploring the Potential of Microwave Annealing for Enhancing Si‐based GeSn Lasers

open access: yesAdvanced Materials Technologies, EarlyView.
We explore low‐thermal‐budget microwave annealing to enhance the performance of group‐IV GeSn lasers on Si. Microwave annealing under optimal conditions can simultaneously relax unwanted compressive strain and enhance the material quality of the GeSn active layer, thereby reducing the threshold and increasing the laser operating temperature.
Yue‐Tong Jheng   +8 more
wiley   +1 more source

Phosphorylation of Unique domains of Src family kinases

open access: yesFrontiers in Genetics, 2014
Members of the Src family of kinases (SFKs) are non-receptor tyrosine kinases involved innumerous signal transduction pathways. The catalytic, SH3 and SH2 domains are attached tothe membrane-anchoring SH4 domain through the intrinsically disordered ...
Irene eAmata   +3 more
doaj   +1 more source

Preparedness of non-hospital health centers to manage patients with life-threatening emergency conditions: findings from a qualitative study

open access: yesBMC Health Services Research, 2020
Background Management of Life-threatening Emergency (LTE) patients in urban and rural areas is an important challenge, which can affect pre-hospital mortality rate.
Homayoun Sadeghi-Bazargani   +4 more
doaj   +1 more source

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

open access: yesAdvanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu   +6 more
wiley   +1 more source

Development of Radiopharmaceutical Composition for Radionuclide Diagnostics of Malignant Melanoma

open access: yesРазработка и регистрация лекарственных средств, 2020
Introduction. Skin cancers came first in Russia in numbers of oncological diseases. Melanoma, making up only a small part of these cases, leads to the most serious consequences.
O. E. Klementyeva   +6 more
doaj   +1 more source

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