This study aims to examine the impact of user sensory stimuli aspects (comfort, passive and active engagements, relaxation, discovery) on efficient use urban squares in Erbil, Iraq, through public interaction. A questionnaire survey (298 respondents) was employed collect users’ opinions validated expert interviews (13 interviewees) field observations. PLS-SEM used as research method this analys...

A Knowledge Based System (KBS) carries out a set of knowledge intensive tasks for the purpose of putting in practice problem-solving capabilities, comparable to those of a domain expert, from an input data flow produced by a process. In particular, a knowledge intensive task requires, by construction, a Knowledge Model in order to interpret the input data flow according to the task to be achiev...

Rule learning is typically used in solving classification and prediction tasks. However, learning of classification rules can be adapted also to subgroup discovery. Such an adaptation has already been done for the CN2 rule learning algorithm. In previous work this new algorithm, called CN2-SD, has been described in detail and applied to the well known UCI data sets. This paper summarizes the mo...

Proteomics enables understanding the composition, structure, function and interactions of the entire protein complement of a cell, a tissue, or an organism under exactly defined conditions. Some factors such as stress or drug effects will change the protein pattern and cause the present or absence of a protein or gradual variation in abundances. Changes in the proteome provide a snapshot of the...

Causal discovery algorithms based on probabilistic graphical models have recently emerged in geoscience applications for the identification and visualization of dynamical processes. The key idea is to learn the structure of a graphical model from observed spatio-temporal data, thus finding pathways of interactions in the observed physical system. Studying those pathways allows geoscientists to ...

INTRODUCTION The critical role of the activity of the nucleophosmin- anaplastic lymphoma kinase (NPM-ALK) fusion protein in anaplastic large-cell lymphoma prompted drug discovery programs directed against ALK. Drug discovery efforts increased after finding that about 4% of non-small-cell lung cancers (NSCLCs) possess an EML4-ALK fusion protein. AREAS COVERED The author provides a review of th...

This paper presents a supervised bayesian approach to model expertise in online forums with application to question routing. The proposed method extends the well-known sLDA model to the multi-task case, accounting for a supervised stage with multiple outputs per document corresponding to the users of the system. A study of the characteristics of real world data revealed a number of challenges i...

BACKGROUND Previous research has demonstrated that trainees can be taught (via explicit verbal instruction) to adopt the gaze strategies of expert laparoscopic surgeons. The current study examined a software template designed to guide trainees to adopt expert gaze control strategies passively, without being provided with explicit instructions. METHODS We examined 27 novices (who had no laparo...

Automated knowledge acquisition is an important research issue to solve the bottleneck problem in developing expert systems. Although many inductive learning methods have been proposed for this purpose, most of the approaches focus only on inducing classification rules. However, medical experts also learn other information important for diagnosis from clinical cases. In this paper, a rule induc...