Results 41 to 50 of about 17,095 (248)
This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess +3 more
wiley +1 more source
Target-Aware Neural Architecture Search and Deployment for Keyword Spotting
Keyword spotting (KWS) utilities have become increasingly popular on a wide range of mobile and home devices, representing a prolific application field for Convolutional Neural Networks (CNNs), which are commonly exploited to perform keyword ...
Paola Busia +5 more
doaj +1 more source
Multi-keyword sponsored search [PDF]
We investigate search engines' mechanism for allocating impressions generated from different search terms. This mechanism is equivalent to running an independent GSP auction for each search term only when the number of search terms is small. In practice, the number of search terms is so large that an advertiser cannot possibly communicate to the search
openaire +1 more source
Recapitulating Endochondral Ossification for Bone Repair: From Development to Engineering Strategy
This review summarizes the developmental basis of endochondral ossification (ECO) and its applications in bone tissue engineering (BTE). It first outlines the key biological processes and signaling pathways underlying ECO, then discusses biomaterial‐based engineering strategies derived from these principles, and finally highlights future directions for
Yiqi Su +8 more
wiley +1 more source
This systematic review quantitatively compares conventional mechanical stimulation strategies in cartilage tissue engineering across 85 heterogeneous in vitro studies. Applying standardized effect measures, meta‐analysis reveals that combined compression and shear loading optimally promotes cartilage matrix development.
Jiaqi K. Shen +7 more
wiley +1 more source
Keyword Search on RDF Graphs: It Is More Than Just Searching for Keywords
In this paper, we propose a model for enabling users to search RDF data via keywords, thus, allowing them to discover relevant information without using complicated queries or knowing the underlying ontology or vocabulary. We aim at exploiting the characteristics of the RDF data to increase the quality of the ranked query results. We consider different
Kostas Stefanidis, Irini Fundulaki
openaire +1 more source
Automatic Keyword Extraction from Documents Using Conditional Random Fields [PDF]
Keywords are subset of words or phrases from a document that can describe the meaning of the document. Many text mining applications can take advantage from it. Unfortunately, a large portion of documents still do not have keywords assigned. On the other
Zhang, Chengzhi
core
Evaluating advanced search interfaces using established information-seeking model
When users have poorly defined or complex goals search interfaces offering only keyword searching facilities provide inadequate support to help them reach their information-seeking objectives.
Ryen W. White +5 more
core +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Novel Multi-Keyword Search on Encrypted Data in the Cloud
Searching on encrypted data has become a very important technique in cloud computing. Such searches enable the data owner to search on the encrypted data stored on the cloud without leaking any information.
Yunyun Wu +4 more
doaj +1 more source

