cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30269584
title: The role of symbolic gestures in the path towards auditory rehabilitation of infants with hearing loss: a feasibility study

description: Hearing parents of hard-of-hearing (HH) infants can adopt directive communicative styles that may hinder language development. Family-Centered Early Interventions (FCEI) promoting sensitive/didactic communication have shown promise in supporting infants’ linguistic and cognitive outcomes. This feasibility study introduces a multimodal communication FCEI, where early auditory and speech rehabilitation is paired with a programme that incorporates symbolic gestures into everyday interactions. Seventeen families participated: nine underwent the FCEI, eight received only auditory rehabilitation. The FCEI involved workshops and hands-on sessions, with parent–child communication skills evaluated through videoanalyses. Feasibility was assessed via focus groups and through changes in parental communicative styles and infant communication. Results demonstrate multimodal FCEI's acceptability and practicality, with parents valuing its focus on communication before cochlear implantation. Improvements in constructive parental communicative styles were observed in the intervention group, though no changes in infant efficacy were noted. Challenges included group heterogeneity and parental concerns about communication development in HH infants. The need for long-term studies and comparison with other communicative FCEI are discussed.
DOI: 10.6084/m9.figshare.30269584.v1
title: The role of symbolic gestures in the path towards auditory rehabilitation of infants with hearing loss: a feasibility study

description: Hearing parents of hard-of-hearing (HH) infants can adopt directive communicative styles that may hinder language development. Family-Centered Early Interventions (FCEI) promoting sensitive/didactic communication have shown promise in supporting infants’ linguistic and cognitive outcomes. This feasibility study introduces a multimodal communication FCEI, where early auditory and speech rehabilitation is paired with a programme that incorporates symbolic gestures into everyday interactions. Seventeen families participated: nine underwent the FCEI, eight received only auditory rehabilitation. The FCEI involved workshops and hands-on sessions, with parent–child communication skills evaluated through videoanalyses. Feasibility was assessed via focus groups and through changes in parental communicative styles and infant communication. Results demonstrate multimodal FCEI's acceptability and practicality, with parents valuing its focus on communication before cochlear implantation. Improvements in constructive parental communicative styles were observed in the intervention group, though no changes in infant efficacy were noted. Challenges included group heterogeneity and parental concerns about communication development in HH infants. The need for long-term studies and comparison with other communicative FCEI are discussed.
DOI: 10.6084/m9.figshare.30269584.v2
title: The role of symbolic gestures in the path towards auditory rehabilitation of infants with hearing loss: a feasibility study

description: Hearing parents of hard-of-hearing (HH) infants can adopt directive communicative styles that may hinder language development. Family-Centered Early Interventions (FCEI) promoting sensitive/didactic communication have shown promise in supporting infants’ linguistic and cognitive outcomes. This feasibility study introduces a multimodal communication FCEI, where early auditory and speech rehabilitation is paired with a programme that incorporates symbolic gestures into everyday interactions. Seventeen families participated: nine underwent the FCEI, eight received only auditory rehabilitation. The FCEI involved workshops and hands-on sessions, with parent–child communication skills evaluated through videoanalyses. Feasibility was assessed via focus groups and through changes in parental communicative styles and infant communication. Results demonstrate multimodal FCEI's acceptability and practicality, with parents valuing its focus on communication before cochlear implantation. Improvements in constructive parental communicative styles were observed in the intervention group, though no changes in infant efficacy were noted. Challenges included group heterogeneity and parental concerns about communication development in HH infants. The need for long-term studies and comparison with other communicative FCEI are discussed.
DOI: 10.26180/5619553
title: Determining the main factors contributing to xylanase resistance to different pH by applying the asymptotic distribution of a transformation on the Pearson correlation coefficient

description: The main role of xylanolytic enzyme, β-endoxylanase (1,4-β-D-xylan xylanohydrolase, EC 3.2.1.8) is to convert the polymer xylan to xylosaccharides. Many xylanase and xylosidase genes from fungi and bacteria have been analyzed and their encoded enzymes have been isolated and characterized. It has already been shown that those enzymes are active at a limited range of pH (with maximum, minimum and mean ± SE, 8, 2 and 5.47 ± 0.286, respectively). In some industries need for active enzymes in both alkaline and acidic pH have been elaborated and understanding the main factors contributing in pH resistance of theses enzymes are very important. So we looked at more than seventy properties of 30 xylanase proteins (active in different pH) by applying a feature selection algorithm which assigned a p value to each attribute based on the asymptotic distribution of a transformation on the Pearson correlation coefficient. The attributes were then sorted in a descending order of their importance to xylanase pH resistance based on calculated p values. The results showed that the frequency of Arg, Ser, Pro, Tyr, the count of Arg, Pro, Trp, Gly, Leu, Gln, the frequency of positively charged residues, the count of hydrophobic residues, the count of positively charged residues, non-reduced cycteins extinctoin coefficient and reduced cycteins extinctoin coefficient were the most important features contributing to the resistance of xylanases at different pH, and thirteen other attributes were considered to have a marginal contribution to this function, while the other features were revealed to be unimportant. The significance of "important" and "marginal" properties in xylanase activity in both alkaline and acidic pH has been discussed in this paper. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619553.v1
title: Determining the main factors contributing to xylanase resistance to different pH by applying the asymptotic distribution of a transformation on the Pearson correlation coefficient

description: The main role of xylanolytic enzyme, β-endoxylanase (1,4-β-D-xylan xylanohydrolase, EC 3.2.1.8) is to convert the polymer xylan to xylosaccharides. Many xylanase and xylosidase genes from fungi and bacteria have been analyzed and their encoded enzymes have been isolated and characterized. It has already been shown that those enzymes are active at a limited range of pH (with maximum, minimum and mean ± SE, 8, 2 and 5.47 ± 0.286, respectively). In some industries need for active enzymes in both alkaline and acidic pH have been elaborated and understanding the main factors contributing in pH resistance of theses enzymes are very important. So we looked at more than seventy properties of 30 xylanase proteins (active in different pH) by applying a feature selection algorithm which assigned a p value to each attribute based on the asymptotic distribution of a transformation on the Pearson correlation coefficient. The attributes were then sorted in a descending order of their importance to xylanase pH resistance based on calculated p values. The results showed that the frequency of Arg, Ser, Pro, Tyr, the count of Arg, Pro, Trp, Gly, Leu, Gln, the frequency of positively charged residues, the count of hydrophobic residues, the count of positively charged residues, non-reduced cycteins extinctoin coefficient and reduced cycteins extinctoin coefficient were the most important features contributing to the resistance of xylanases at different pH, and thirteen other attributes were considered to have a marginal contribution to this function, while the other features were revealed to be unimportant. The significance of "important" and "marginal" properties in xylanase activity in both alkaline and acidic pH has been discussed in this paper. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619550
title: What are the most important features contributing to xylanase thermostability? Applying a feature selection modeling

description: Xylan is the main component of hemicellulose which is present in nature in large amounts and can be degraded by either acid or enzymic catalysis with the advantages of a highly efficient conversion rate and non-corrosive and environmentally friendly conditions. Although, the complete breakdown of xylan requires the action of several different enzymes, the depolymerizing endo-1,4,β-xylanase (EC 3.2.1.8) is the key enzyme with possible applications in waste treatment, fuel and chemical production and paper manufacture. In consequence, the importance of finding or making thermostable xylanases has been highlighted. Therefore, it is inevitable to understand the features involving in xylanase thermostability. Here, we looked at more than seventy attributes of 30 xylanase proteins (active in different temperatures) by applying a feature selection algorithm which assigns a p value to each attribute based on the asymptotic distribution of a transformation on the Pearson correlation coefficient, and then, sorts them according to their p values in order to find the most contributing ones regarding the xylanase proteins thermostability. The results showed that the count of oxygen, nitrogen, Glu, Lys, Cys, Phe, Trp, the count of positively and negatively charged residues as well as the count of other residues were the most important features with respect to xylanase thermostability, and 12 more properties were recognized to have a marginal effect on this aspect, while the rest were revealed to be unimportant. The importance of "important" and "marginal" features in xylanase thermostability has been discussed in this paper. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619550.v1
title: What are the most important features contributing to xylanase thermostability? Applying a feature selection modeling

description: Xylan is the main component of hemicellulose which is present in nature in large amounts and can be degraded by either acid or enzymic catalysis with the advantages of a highly efficient conversion rate and non-corrosive and environmentally friendly conditions. Although, the complete breakdown of xylan requires the action of several different enzymes, the depolymerizing endo-1,4,β-xylanase (EC 3.2.1.8) is the key enzyme with possible applications in waste treatment, fuel and chemical production and paper manufacture. In consequence, the importance of finding or making thermostable xylanases has been highlighted. Therefore, it is inevitable to understand the features involving in xylanase thermostability. Here, we looked at more than seventy attributes of 30 xylanase proteins (active in different temperatures) by applying a feature selection algorithm which assigns a p value to each attribute based on the asymptotic distribution of a transformation on the Pearson correlation coefficient, and then, sorts them according to their p values in order to find the most contributing ones regarding the xylanase proteins thermostability. The results showed that the count of oxygen, nitrogen, Glu, Lys, Cys, Phe, Trp, the count of positively and negatively charged residues as well as the count of other residues were the most important features with respect to xylanase thermostability, and 12 more properties were recognized to have a marginal effect on this aspect, while the rest were revealed to be unimportant. The importance of "important" and "marginal" features in xylanase thermostability has been discussed in this paper. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619547
title: Standards Barriers to Bioinformatics Research

description: Although new and emerging information technologies (IT) can enable the analysis of rapidly expanding bioinformatics data, no standards exists. Standards validate a technology or process against a compilation of consolidated best practice specifications. Standards development represents an effective way to retrieve textual evidence, work collaboratively, and integrate bioinformatics with global e-health initiatives. Thus, standards barriers can impede otherwise productive research efforts. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619547.v1
title: Standards Barriers to Bioinformatics Research

description: Although new and emerging information technologies (IT) can enable the analysis of rapidly expanding bioinformatics data, no standards exists. Standards validate a technology or process against a compilation of consolidated best practice specifications. Standards development represents an effective way to retrieve textual evidence, work collaboratively, and integrate bioinformatics with global e-health initiatives. Thus, standards barriers can impede otherwise productive research efforts. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619544
title: Statistical analysis of drug treated cell morphologies from HCS image data

description: We have developed a framework for analyzing image data from High Content Screening (HCS) experiments. The Kolomogorov-Smirnov Statistic is used to identify statistically significant image parameters for use in K-means clustering. Clusters that are underrepresented in drug-treated cell populations can be "enriched" via normalizing by the control clusters. This general methodology can be applied at different drug treatment conditions to identify "interesting" clusters. We demonstrate how the resulting clusters of morphologies aid in the understanding of the underlying biology of drug-treated cell populations PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619544.v1
title: Statistical analysis of drug treated cell morphologies from HCS image data

description: We have developed a framework for analyzing image data from High Content Screening (HCS) experiments. The Kolomogorov-Smirnov Statistic is used to identify statistically significant image parameters for use in K-means clustering. Clusters that are underrepresented in drug-treated cell populations can be "enriched" via normalizing by the control clusters. This general methodology can be applied at different drug treatment conditions to identify "interesting" clusters. We demonstrate how the resulting clusters of morphologies aid in the understanding of the underlying biology of drug-treated cell populations PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619541
title: Novel classification scheme for temporal genomic and proteomic problems

description: For over a decade genomic and proteomic datasets present a challenge for various statistical and machine learning methods. Most of microarray or mass spectrometry based datasets consist of a small number of samples with a large number of gene or protein expression measurements, but in the past few years new types of datasets with an additional time component are becoming available. This type of datasets offer new opportunities for development of new classification and gene selection techniques where one of the problems is the reduction of high-dimensionality. This paper presents a novel classification technique which combines feature extraction and feature selection to obtain the optimal set of genes available to a classifier. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619541.v1
title: Novel classification scheme for temporal genomic and proteomic problems

description: For over a decade genomic and proteomic datasets present a challenge for various statistical and machine learning methods. Most of microarray or mass spectrometry based datasets consist of a small number of samples with a large number of gene or protein expression measurements, but in the past few years new types of datasets with an additional time component are becoming available. This type of datasets offer new opportunities for development of new classification and gene selection techniques where one of the problems is the reduction of high-dimensionality. This paper presents a novel classification technique which combines feature extraction and feature selection to obtain the optimal set of genes available to a classifier. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619538
title: A single-residue affinity scale for DNA-binding using linear perceptron

description: A linear scale to estimate DNA-binding free energy of amino acid residues is reported. Scales derived exclusively for irregular and helical positions give 76% and 68% classification accuracy between stabilizing and destabilizing protein-DNA interaction. Mean absolute error (MAE) in ddG values is 0.786 and 0.883 kcal/mol respectively. Without using structure information of residues to derive affinity scales, 67.0% mutations could be correctly classified between those stabilizing and destabilizing binding. Mean absolute error (MAE) and correlation of ddG predictions are 0.953 kcal/mol and 0.385 respectively. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
DOI: 10.26180/5619538.v1
title: A single-residue affinity scale for DNA-binding using linear perceptron

description: A linear scale to estimate DNA-binding free energy of amino acid residues is reported. Scales derived exclusively for irregular and helical positions give 76% and 68% classification accuracy between stabilizing and destabilizing protein-DNA interaction. Mean absolute error (MAE) in ddG values is 0.786 and 0.883 kcal/mol respectively. Without using structure information of residues to derive affinity scales, 67.0% mutations could be correctly classified between those stabilizing and destabilizing binding. Mean absolute error (MAE) and correlation of ddG predictions are 0.953 kcal/mol and 0.385 respectively. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; 
Chetty, Madhu ; 
Ahmad, Shandar ; 
Ngom, Alioune ; 
Teng, Shyh Wei ; 
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; 
Coverage: 
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.