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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)
Preschoolers (n=62) completed tasks that tapped their knowledge of symbolic and non-symbolic exact quantities, their ability to translate among different representations of exact quantity (i.e., digit...
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...
In multi-instance learning (MIL), the relations among instances in a bag convey important contextual information in many applications. Previous studies on MIL either ignore such relations or simply mo...
Human beings are assumed to possess an approximate number system (ANS) dedicated to extracting and representing approximate numerical magnitude information. The ANS is assumed to be fundamental to ari...
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...
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...
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 evaluates the efficacy of the Neuro+ Attention Training System (Neuro+) in the treatment of attention-deficit/hyperactivity disorder (ADHD). Half of participants will receive th...
RATIONALE: Learning about the effects of chemotherapy and biological therapy on nerve function may help doctors plan treatment and help patients live more comfortably. PURPOSE: This clini...
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...