Results 61 to 70 of about 2,637,088 (356)
Access control relationship prediction method based on GNN dual source learning
With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based ...
Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG
doaj +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Databases often receive an uninspired and uninterested response. The curriculum content of a database module generally involves the design of entity-relationship models, SQL programming, application development and advanced database applications such as ...
Calvert, M, Campbell, J, Lazarevski, S
core
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Entity-Relationship modeling revisited [PDF]
In this position paper, we argue the modern applications require databases to capture and enforce more domain semantics than traditional applications. We also argue that the best way to incorporate additional semantics into database systems is by capturing the added information in conceptual models and then using it for database design.
openaire +1 more source
The development of a fictional plot is centered around characters who closely interact with each other forming dynamic social networks. In literature analysis, such networks have mostly been analyzed without particular relation types or focusing on roles
Kim, Evgeny, Klinger, Roman
core +1 more source
Objective We evaluated the role of 25‐hydroxyvitamin D (25[OH]D), prednisone, and other risk factors for bone mineral density (BMD) loss and osteoporosis in systemic lupus erythematosus (SLE). Methods We calculated the association between 25(OH)D levels and other potential risk factors and BMD measures (spine T scores) and osteoporosis (defined as a T ...
Nima Madanchi +4 more
wiley +1 more source
A Survey of Location Prediction on Twitter
Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades.
Han, Jialong, Sun, Aixin, Zheng, Xin
core +1 more source
Joint extraction model of entity relations based on decomposition strategy
Named entity recognition and relation extraction are two important fundamental tasks in natural language processing. The joint entity-relationship extraction model based on parameter sharing can effectively reduce the impact of cascading errors on model ...
Ran Li +6 more
doaj +1 more source
Knowledge reasoning with multiple relational paths
Knowledge reasoning technology can infer new knowledge based on the existing entity relationship information in the knowledge graph to complement the knowledge graph. In the existing knowledge reasoning methods based on multi-step relationship paths, the
Hang Su, Huangcan Li, Dun Li
doaj +1 more source

