{"title":"Retrieval analysis of trabecular metal patella in a post-patellectomised knee","authors":"D. Allan, M. Paliwal, P. Filip","doi":"10.1504/IJFIPM.2008.021392","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.021392","url":null,"abstract":"Clinical performance and microscopic analysis of a porous tantalum patella, retrieved from a 34-year-old male eight months after implantation is reported. The metallic tantalum represented 20 vol.% of the analysed patellar component. Tissue ingrowth was only in the large pores (up to 92%). Total tissue ingrowth was to the extent of 80%. The entire volume (including tantalum, small and large pores) had 64% tissue ingrowth. From the perspective of tissue ingrowth, the study supports the porous tantalum for clinical applications. This is the first report that evaluates the soft tissue ingrowth in a human retrieved trabecular metal patella.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of structural stability of mutated Hepatitis B Virus capsid proteins by nanoenvironmental energetics measurements","authors":"Harish Chandra Soundararajan, M. Sivanandham","doi":"10.1504/IJFIPM.2008.021393","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.021393","url":null,"abstract":"Hepatitis B Virus (HBV) is a commonly occurring human pathogen with an estimated 300 million carriers worldwide. This work presents a bioinformatics approach toward identifying amino acids for point mutation in Hepatitis B capsid (HBc) protein to prevent interaction of the virion's core protein with its surface protein. Based on the nanoenvironmental energetic measurements using bioinformatics tools, point mutations in the dimeric region of core protein were studied for changes in the dimensions of the key geometric parameters. The results provide structural insight regarding the important parameters contributing to HBV synthesis. This work paves the way for future pharmaceutical applications aimed at destabilisation of the HBV capsid-surface protein interactions.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124701827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High resolution MRI image reconstruction from a PROPELLER data set of samples","authors":"K. Malczewski, R. Stasinski","doi":"10.1504/IJFIPM.2008.021394","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.021394","url":null,"abstract":"Magnetic Resonance Imaging (MRI) image reconstruction, based on the frequency domain Super-Resolution (SR) algorithm, is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases where Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) sequences are used. The PROPELLER MRI method collects data in rectangular 'blades' rotated around the origin of the k-space. Inter-blade patient motion is the premise for the use of SR technique. Images obtained from sets of irregularly located frequency domain samples are combined into the high resolution MRI image. The SR reconstruction replaces the usually applied direct averaging of low-resolution images.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124910947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoyong Fang, Zhigang Luo, Bo Yuan, Zhenghua Wang
{"title":"Detecting and assessing conserved stems for building structural alignment of RNA sequences","authors":"Xiaoyong Fang, Zhigang Luo, Bo Yuan, Zhenghua Wang","doi":"10.1504/IJFIPM.2008.021391","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.021391","url":null,"abstract":"The comparative methods for identifying non-coding RNAs or predicting RNA secondary structure can be facilitated by taking structural alignments of homologous sequences as input. However, it is very difficult to build a well structural alignment without knowing the secondary structures. Here, we propose a new method for building structural alignment of RNA sequences by detecting and assessing conserved stems across the sequences. The method can be summarised by: we detect conserved stems across multiple RNA sequences using the so-called position matrix with which some common paired positions are uncovered; we assess the conserved stems using the Signal-to-Noise and the profile SCFG; we build the structural alignment by incorporating some compatible conserved stems with the initial sequence alignment built by Clustal W. Experimental results show that our method can build structural alignment of RNA sequences with much greater sensitivity and specificity than Clustal W.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121333833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuhai Liu, Guozheng Li, Hong-yu Zhang, Mary Yang, Jack Y. Yang
{"title":"Feature selection for gene function prediction using multi-labelled lazy learning","authors":"Yuhai Liu, Guozheng Li, Hong-yu Zhang, Mary Yang, Jack Y. Yang","doi":"10.1504/IJFIPM.2008.021388","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.021388","url":null,"abstract":"In multi-label learning, each instance in the training set is associated with a set of labels, and the task is to output a label set whose size is unknown a priori for each unseen instance. In this paper, feature selection for the multi-label method was proposed based on mutual information. In detail, we use the distribution of mutual information for feature selection in the multi-label problems. Our experiment was preceded on a multi-label lazy learning approach named ML-kNN, which is derived from the traditional k-Nearest Neighbour (KNN) algorithm. Experimental results on a real-world multi-label bioinformatics data show that ML-kNN with feature selection greatly outperforms the prior ML-kNN algorithm.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"334 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122327392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LPC modelling and cepstral analysis applied to vocal fold pathology detection","authors":"B. Neto, S. C. Costa, J. Fechine","doi":"10.1504/IJFIPM.2008.020185","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.020185","url":null,"abstract":"Laryngeal pathologies are generally diagnosed using laryngoscopical exams, which are considered invasive to patients. Digital signal processing techniques are noninvasive and can be applied to perform an acoustic analysis for vocal quality assessment providing an objective diagnosis of pathological voices. This paper aims at specifying and evaluating the acoustic features for vocal fold edema through a parametric modelling based on the resonant structure of the human speech production mechanism by LPC and LPC-based cepstral coefficients and a nonparametric approach related to human auditory perception system by mel-frequency cepstral coefficients. A vector-quantising-trained distance classifier is used in the discrimination process.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129520737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Courtney Corley, Armin R. Mikler, D. Cook, Karan P. Singh
{"title":"Dynamic intimate contact social networks and epidemic interventions","authors":"Courtney Corley, Armin R. Mikler, D. Cook, Karan P. Singh","doi":"10.1504/IJFIPM.2008.020186","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.020186","url":null,"abstract":"Sexually transmitted diseases and infections are, by definition, transferred among intimate social settings. Although the circumstances under which these social settings are established and maintained may vary, the common prerequisite remains an intimate level of social atmosphere. For this reason, the development of sexually transmitted disease mathematical and computational models must utilise dynamic and evolving social network simulation. This paper presents Dynamic Social Network of Intimate Contacts (DynSNIC), a computational simulator created to embody the intimate dynamic and evolving social networks related to the transmission of sexually transmitted diseases and infections. DynSNIC's utilisation by health professionals will facilitate evaluation of targeted intervention strategies and public health policies.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fiona Browne, Haiying Wang, Huiru Zheng, F. Azuaje
{"title":"Computational prediction of protein interaction networks through supervised classification techniques","authors":"Fiona Browne, Haiying Wang, Huiru Zheng, F. Azuaje","doi":"10.1504/IJFIPM.2008.020188","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.020188","url":null,"abstract":"This paper implements integrative methods to predict Pairwise (PW) and Module-Based (MB) protein interactions in Saccharomyces cerevisiae. The predictive ability of combining diverse sets of relatively strong and weak predictive datasets is investigated. Different classification techniques: Naive Bayesian (NB), Multilayer Perceptron (MLP) and K-Nearest Neighbors (KNN) were evaluated. The assessment demonstrated that as the predictive power of single-source datasets became weaker, MLP and NB performed better than KNN. Generation of PPI maps for S. cerevisiae and beyond will be improved with new, higher-quality datasets with increased interactome coverage and the integration of classification methods.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129976973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An approach to assessing peptide mass spectral quality without prior information","authors":"Fang-Xiang Wu, Jiarui Ding, G. Poirier","doi":"10.1504/IJFIPM.2008.020184","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.020184","url":null,"abstract":"This paper proposes an approach to assessing the quality of tandem mass spectra without any prior information. The proposed approach includes: filtering noises from the experimental mass spectra and extracting the peaks; mapping each spectrum into a feature vector which describes the quality of spectra; classifying spectra into clusters by using the mean-shift clustering; learning a classifier using the two clusters with the extreme means; assessing all spectra by using the trained classifier. Computational experiments illustrate that the proposed approach can eliminate majority of poor quality spectra while losing very minority of high quality spectra.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115004064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualising menisci-femur contact using deformable knee models","authors":"Ying Zhu","doi":"10.1504/IJFIPM.2008.018294","DOIUrl":"https://doi.org/10.1504/IJFIPM.2008.018294","url":null,"abstract":"Computational simulation can help improve our understanding of the knee biomechanics and orthopedic practice. However few computational knee models include a patient specific deformable menisci model. We present two new methods for simulating and visualising menisci-femur contact area during gait cycles, using patient specific knee models and motion data. Specifically we propose a template based 3D model reconstruction method that generates patient specific knee models. We also propose a new deformable menisci model for real-time applications. Our deformable model combines physics-based deformation and spatial deformation, making it easier for users to balance the physical realism and performance needs.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123286580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}