CAMO: A molecular congruence analysis framework for evaluating model organisms

CAMO provides a rigorous and user-friendly solution for quantification and mechanistic exploration of omics congruence in model organisms and humans. It performs threshold-free differential analysis, quantitative concordance/discordance scoring, pathway-centric investigation, text-mining-based knowledge retrieval, and topological subnetwork detection. Instead of dichotomous claims of "poorly" or "greatly" mimicking, CAMO facilitates discovery and visualization of specific molecular mechanisms that are best or least mimicked, providing foundations for hypothesis generation and subsequent translational investigations.

Modelling and Implementation of a Knowledge Question-answering System for Product Quality Problem Based on Knowledge Graph

Aiming at the problem of difficulty in understanding the semantics of the problem in the traditional quality problem management system, the knowledge retrieval technology of product quality problem based on the knowledge graph is carried out. The process model for knowledge retrieval of quality problem based on semantic templates is constructed. A domain corpus is built, which consisting of thousands of quality problem handling records. The TF-IDF (Term Frequency-inverse Document Frequency) algorithm was used to extracted the vocabulary from the quality problem analysis reports. A natural language question semantic classification process model based on Naive Bayes classifier is established to improve the accuracy of semantic template matching. On the basis of theoretical study, a quality problem knowledge question-answering system-QQ-KQAS based on knowledge graph is developed, and the effectiveness of the proposed method is verified through examples.

Using Eye-tracking technique to design innovative learning material in Medical Education: Autonomic Pharmacology as an example

Aim: A wide range of research has shown that knowledge retrieval practice results in improved retention. Does providing illustrations (containing an image and words) on a t-shirt enhance learning? And is this knowledge retained after a short(1 week) or long (1 year) delay?Method:A two-phase study was conducted, the initial phase used eye-tracking technique to compare the“image”and“word” attractiveness of two Autonomic nervous system (ANS) pharmacology learning materials on non-science students, the interventional phase used a pre, post and retention test to measure memory, application and lecture learning froma learning material printed on front and back of t-shirt. Results:Total Fixation Duration (TFD) on the 'Image' (3.96± 1.12 seconds) as the Area of interest (AOI) was longer compared to Design (2) (3.43±0.87), (t =36.52), p> 0.05. On the contrary, Design (2) had longer TFD (1.24±0.52) on the 'Words' AOI compared to Design (1) (0.99±0.64), t-test (t =37.48)p> 0.05. Design (2)attracted the students’ eye gaze for both “Image” and “ Word”, therefore, design (2) was selected as learning stimulus for the second interventional phase, students completed a pre-test knowledge test, they were then exposed to the t-shirt designs for a week before completing a post-test 1 week and retention 1-year later to see if there is evidence of better retention of ANS pharmacology knowledge. Repeated measures analysis demonstrated a significant recall of knowledge (F (1.987, 162.9) = 20.53,p< 0.01). Mean of recall pre-test question (2.12 ±0.15) , recall post-test (3.36 ±0.16) (p< 0.0001) and retention (1-year) (2.7 ±0.14) (p< 0.01). Application and lecture-related questions showed no significant differences at pre, post and retention tests. Conclusion:Eye-tracking is useful in designing learning material and ANS pharmacology knowledge retrieval outside the class was associated with a significant improvement of long-term memory as such this might be a promising method in medical education.

Keyword Search over the COVID-19 Data

Keyword search is typically associated with information retrieval systems. However, recently, keyword search has been expanded to relational databases and RDF datasets, as an attractive alternative to traditional database access. With this motivation, this paper first introduces a platform for data and knowledge retrieval, called DANKE, concentrating on the keyword search component. It then describes an application that uses DANKE to implement keyword search over two COVID-19 data scenarios.

The associations between spatial skills and specific components of physics knowledge: a primary school classroom study on sound propagation

Previous research demonstrates an association between spatial ability and science achievement in primary school aged children. However, little is known about the mechanisms driving this relationship. We therefore investigated the associations between children’s spatial skills and components of physics learning (knowledge retrieval vs. conceptual knowledge [predictions and explanations]). Participants (N = 107; mean age: 9.2 years) completed a set of spatial tasks based on the ‘2 x 2’ (intrinsic-extrinsic; static-dynamic) model. They also participated in a whole-class science lesson about sound, followed by an assessment of science knowledge. After controlling for vocabulary and prior knowledge, spatial ability was not associated with knowledge retrieval scores. Mental rotation was most closely associated with conceptual predictions (r 2 = 4-7%). However, mental folding was most strongly associated with conceptual explanations (r 2 = 9-14%). These findings suggest that future spatial intervention studies designed to enhance children’s science learning should target these intrinsic-dynamic spatial skills.