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Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are applicable to graph-structured data are becoming available, but have not yet widely been applied and evaluated on structured biological knowledge.
This article was published in the following journal.
Name: Bioinformatics (Oxford, England)
Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives a...
Category Theory, a branch of mathematics, has shown promise as a modeling framework for higher-level cognition. We introduce an algebraic model for analogy that uses the language of category theory to...
Adult semiotic mediation in the origin and evolution of the first symbolic uses of objects by infants in contexts of triadic interactions was investigated. Six infant-parent dyads interacting together...
Preschool children vary tremendously in their numerical knowledge, and these individual differences strongly predict later mathematics achievement. To better understand the sources of these individual...
Although symbolic numerical magnitude processing skills are key for learning arithmetic, their developmental trajectories remain unknown. Therefore, we delineated during the first 3years of primary ed...
The aim of this study was to assess the effect of a blended-learning model on physiotherapy students´ attitude, knowledge and opinions towards learning professional ethics. A simple-blin...
The aim of the study is to demonstrate that our semantic knowledge (elements of our long-term memory and the process we use them) respond to a graphic organisation and gather together foll...
Reflexion on the therapeutic strategies to implement in patients at the end of life is advancing rapidly in France. However, beyond the choices presented to patients, sometimes even the de...
This study evaluates the use of eLearning of quality improvement methods. Participants who use eLearning only, facilitated learning only and a combination of eLearning and facilitated lear...
This study tests the effects of the Neuro RX Gamma on the cognitive and behavioral functioning of subjects with moderate-to-severe Alzheimer's Disease. The Neuro RX Gamma uses non-invasive...
A principle that learning is facilitated when the learner receives immediate evaluation of learning performance. The concept also hypothesizes that learning is facilitated when the learner is promptly informed whether a response is correct, and, if incorrect, of the direction of error.
The concept of new knowledge acquisition through observation and interaction with others.
Relatively permanent change in behavior that is the result of past experience or practice. The concept includes the acquisition of knowledge.
General learning, knowledge, and fluency with computer terms; also, becoming familiar with how computers operate and how they are programmed.
Change in learning in one situation due to prior learning in another situation. The transfer can be positive (with second learning improved by first) or negative (where the reverse holds).
Neurology - Central Nervous System (CNS)
Alzheimer's Disease Anesthesia Anxiety Disorders Autism Bipolar Disorders Dementia Epilepsy Multiple Sclerosis (MS) Neurology Pain Parkinson's Disease Sleep Disorders Neurology is the branch of me...
Biological therapy involves the use of living organisms, substances derived from living organisms, or laboratory-produced versions of such substances to treat disease. Some biological therapies for cancer use vaccines or bacteria to stimulate the body&rs...