Results 101 to 110 of about 177,926 (313)
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Visual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN [PDF]
This paper presents an overview of visual recognition of Bengali Sign Language. In this paper we learn and detect a sequence of sign words and recognize the sign language that are understandable to the deaf and hearing impaired people to help normal ...
Md. Abdur Rahim
core +1 more source
Resource-Allocating Codebook for Patch-based Face Recognition [PDF]
In this paper we propose a novel approach to constructing a discriminant visual codebook in a simple and extremely fast way as a one-pass, that we call Resource-Allocating Codebook (RAC), inspired by the Resource Allocating Network (RAN) algorithms ...
Niranjan, Mahesan +3 more
core +1 more source
Remodeling the light-adapted electroretinogram using a bayesian statistical approach
Objective To present a remodeling of the electroretinogram waveform using a covariance matrix to identify regions of interest and distinction between a control and attention deficit/hyperactivity disorder (ADHD) group. Electroretinograms were recorded in
Marek Brabec +8 more
doaj +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Analysis of a biologically-inspired system for real-time object recognition [PDF]
We present a biologically-inspired system for real-time, feed-forward object recognition in cluttered scenes. Our system utilizes a vocabulary of very sparse features that are shared between and within different object models.
Murphy-Chutorian, Erik +2 more
core
Non-sparse linear representations for visual tracking with online reservoir metric learning [PDF]
Most sparse linear representation-based trackers need to solve a computationally expensive ℓ₁-regularized optimization problem. To address this problem, we propose a visual tracker based on non-sparse linear representations, which admit an efficient ...
Qinfeng Shi +9 more
core +1 more source
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Top-down segmentation of non-rigid visual objects using derivative-based search on sparse manifolds [PDF]
The solution for the top-down segmentation of non rigid visual objects using machine learning techniques is generally regarded as too complex to be solved in its full generality given the large dimensionality of the search space of the explicit ...
Jacinto C. Nascimento +3 more
core +1 more source
Multimodal Emotion Recognition Based on EEG and EOG Signals Evoked by the Video-Odor Stimuli
Affective data is the basis of emotion recognition, which is mainly acquired through extrinsic elicitation. To investigate the enhancing effects of multi-sensory stimuli on emotion elicitation and emotion recognition, we designed an experimental paradigm
Minchao Wu +8 more
doaj +1 more source

