Results 61 to 70 of about 649,643 (307)
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
Weakly Supervised Conditional Random Fields Model for Semantic Segmentation with Image Patches
Image semantic segmentation (ISS) is used to segment an image into regions with differently labeled semantic category. Most of the existing ISS methods are based on fully supervised learning, which requires pixel-level labeling for training the model. As
Xinying Xu +5 more
doaj +1 more source
Bioprinting Organs—Science or Fiction?—A Review From Students to Students
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu +18 more
wiley +1 more source
On the continuity of the vector valued and set valued conditional expectations
In this paper we study the dependence of the vector valued conditional expectation (for both single valued and set valued random variables), on the σ–field and random variable that determine it. So we prove that it is continuous for the L1(X) convergence
Nikolaos S. Papageorgiou
doaj +1 more source
A methacrylamide β‐cyclodextrin‐based nanogel (MACD nGel) is developed to load the antimicrobial drug Metronidazole (MNZ) for topical delivery for the treatment of periodontitis. It is demonstrated that cyclodextrin nanogel (nGel) loaded with metronidazole provides an efficient drug delivery route but also has potential clinical applications and offers
Yanjing Ji +8 more
wiley +1 more source
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Conditional Random Fields (CRFs) constitute a popular and efficient approach for supervised sequence labelling. CRFs can cope with large description spaces and can integrate some form of structural dependency between labels.
Cappé, Olivier +3 more
core +1 more source
A high‐throughput in vivo mRNA LNP screening platform is developed and employed to screen a large library of 122 mRNA LNPs in vivo for delivery to immune, stromal, and parenchymal cells, identifying promising LNP candidates. A novel small particle flow cytometry‐based protein adsorption analysis method is utilized to interrogate protein corona ...
Alex G. Hamilton +17 more
wiley +1 more source
Higher Order Support Vector Random Fields for Hyperspectral Image Classification
This paper addresses the problem of contextual hyperspectral image (HSI) classification. A novel conditional random fields (CRFs) model, known as higher order support vector random fields (HSVRFs), is proposed for HSI classification.
Junli Yang +3 more
doaj +1 more source
The analysis of human emotions plays a significant role in providing sufficient information about patients in monitoring their feelings for better management of their diseases.
Muhammad Hameed Siddiqi
doaj +1 more source
Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang +8 more
wiley +1 more source

