Many cities in the Global South are structurally different from Northern, particularly American, on which much of urban sociology’s conceptual apparatus has been based. Thus, depicting them terms a standard vocabulary risks imposing an inappropriate way seeing. We need that is able to accommodate their experience. This special issue contributes work building vocabulary. select five keywords soc...

In this paper we propose a new classification method for automatic sleep scoring using an artificial neural network based decision tree. It attempts to treat sleep scoring progress as a series of two-class problems and solves them with a decision tree made up of a group of neural network classifiers, each of which uses a special feature set and is aimed at only one specific sleep stage in order...

It has become crucial over the years for nations to improve their credit scoring methods and techniques in light of the increasing volatility of the global economy. Statistical methods or tools have been the favoured means for this; however artificial intelligence or soft computing based techniques are becoming increasingly preferred due to their proficient and precise nature and relative simpl...

OBJECTIVES To assess the general applicability of prognostic scores for colorectal liver metastases (CRLM). METHODS Review of English language studies from 1980 to 2008 (Medline and Embase). Search keywords included "Colorectal neoplasms", "liver metastases", "liver resection", "prognostic scoring system". RESULTS Six scoring systems and fourteen prognostic factors within these studies were...

this study aimed at investigating the reliability, predictive validity, and self-esteem and gender bias of confidence-based scoring. this is a method of scoring in which the test takers receive a positive or negative point based on their rating of their confidence in an answer. the participants, who were 49 english-major students taking their grammar course, were given 8 multiple-choice tests d...

In this paper we present our approach to the Bilingual Document Alignment Task (WMT16), where the main goal was to reach the best recall on extracting aligned pages within the provided data. Our approach consists of tree main parts: data preprocessing, keyword extraction and text pairs scoring based on keyword matching. For text preprocessing we use the TreeTagger pipeline that contains the Uni...

Risk scoring models assume that confidentiality evaluation is based on user estimations. Confidentiality evaluation incorporates the impacts of various factors including systems' technical configuration, on the processes relating to users' confidentiality. The assumption underlying this research is that system users are not capable of estimating systems' confidentiality since they lack the know...

State-of-the-art methods for secondary structure (Porter, Psi-PRED, SAM-T99sec, Sable) and solvent accessibility (Sable, ACCpro) predictions use evolutionary profiles represented by the position specific scoring matrix (PSSM). It has been demonstrated that evolutionary profiles are the most important features in the feature space for these predictions. Unfortunately applying PSSM matrix leads t...

This study aims to investigate if learners of English can improve computer-assisted writing skills through the analysis of the data from the post test. In this study, the focus was given to intermediate-level students of English taking final writing tests (integrated and independent responses) in preparation for TOEFL iBT. We manually scored and categorized the students’ writing responses into ...

In this paper, we propose a new posterior based scoring approach for keyword and non keyword (garbage) elements. The estimation of these scores is based on HMM state posterior probability definition, taking into account long contextual information and the prior knowledge (e.g. keyword model topology). The state posteriors are then integrated into keyword and garbage posteriors for every frame. ...