Results 111 to 120 of about 3,156,706 (370)
Sensors, 2020 With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analysed, but rarely combined, due to the heterogeneity of sources and technologies.
Tarek Elsaleh +5 more
doaj +1 more source
Semantic Data Management in Data Lakes [PDF]
arXiv, 2023 In recent years, data lakes emerged as away to manage large amounts of heterogeneous data for modern data analytics. One way to prevent data lakes from turning into inoperable data swamps is semantic data management. Some approaches propose the linkage of metadata to knowledge graphs based on the Linked Data principles to provide more meaning and ...
arxiv
Advanced Science, EarlyView.Advanced neoteleost fishbones, such as medaka, challenge bone adaptation strategies. While zebrafish bones contain osteocyte‐mediated porosity, medaka bones lack it, raising questions about alternative reinforcement mechanisms. Using advanced imaging, this study reveals higher residual compressive strains in medaka bone, suggesting an adaptation that ...
Andreia Silveira +7 more
wiley +1 more source
Advanced Science, EarlyView.Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang +11 more
wiley +1 more source
Views from the coalface: chemo-sensors, sensor networks and the semantic sensor web [PDF]
, 2009 Currently millions of sensors are being deployed in sensor networks across the world. These networks generate vast quantities of heterogeneous data across various levels of spatial and temporal granularity. Sensors range from single-point in situ sensors
Cleary, John +9 more
core
Advanced Science, EarlyView.STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren +5 more
wiley +1 more source
A mathematical theory of semantic development in deep neural networks [PDF]
, 2018 An extensive body of empirical research has revealed remarkable regularities in the acquisition, organization, deployment, and neural representation of human semantic knowledge, thereby raising a fundamental conceptual question: what are the theoretical principles governing the ability of neural networks to acquire, organize, and deploy abstract ...
arxiv +1 more source
Neural Patterns of Social Pain in the Brain‐Wide Representations Across Social Contexts
Advanced Science, EarlyView.Empathy arises from both physiological and social pain, yet their shared and context‐specific neural mechanisms remain unclear. Combining fMRI and multivariate pattern analysis, this study decodes overlapping empathy networks and distinct representations for social exclusion versus separation.
Xiaodong Zhang +11 more
wiley +1 more source
Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges
, 2015 Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique. We focus on a novel approach to extract metaknowledge in multimedia datasets. Our
Bari, Nima +3 more
core +1 more source
Advanced Science, EarlyView.Enhancer eccANKRD28‐manipulated MM cells have been demonstrated to facilitate drug resistance and promote MM progression by activating the key transcription factor, POU2F2. POU2F2 interacts with sequence‐specific eccANKRD28 as well as RUNX1 and RUNX2 motifs to form the protein complex, which activates the promoter of oncogenes (IRF4, JUNB, IKZF3, et al.
Binzhen Chen +12 more
wiley +1 more source