Robust bimodal person identification using face and speech with limited training data and corruption of both modalities

This paper presents a novel method of audio-visual fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there is a limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new representation and a modified cosine similarity are introduced for combining and comparing bimodal features with limited training data as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal data set created from the SPIDRE and AR databases with variable noise corruption of speech and occlusion in the face images. The new method has demonstrated improved recognition accuracy.

Material Identification of Loose Particles in Sealed Electronic Devices Using PCA and SVM

The existence of loose particles left inside the sealed electronic devices is one of the main factors affecting the reliability of the whole system. It is important to identify the particle material for analyzing their source. The conventional material identification algorithms mainly rely on time, frequency and wavelet domain features. However, these features are usually overlapped and redundant, resulting in unsatisfactory material identification accuracy. The main objective of this paper is to improve the accuracy of material identification. First, the principal component analysis (PCA) is employed to reselect the nine features extracted from time and frequency domains, leading to six less correlated principal components. And then the reselected principal components are used for material identification using a support vector machine (SVM). Finally, the experimental results show that this new method can effectively distinguish the type of materials including wire, aluminum and tin particles.

Identification and output tracking control of Hammerstein systems through wireless networks

his paper investigates the identification and output tracking control of a class of Hammerstein systems through a wireless network within an integrated framework and the statistic characteristics of the wireless network are modelled using the inverse Gaussian cumulative distribution function. In the proposed framework, a new networked identification algorithm is proposed to compensate for the influence of the wireless network delays so as to acquire the more precise Hammerstein system model. Then, the identified model together with the model-based approach is used to design an output tracking controller. Mean square stability conditions are given using linear matrix inequalities (LMIs) and the optimal controller gains can be obtained by solving the corresponding optimization problem expressed using LMIs. Illustrative numerical simulation examples are given to demonstrate the effectiveness of our proposed method.

Identification of arsenic species in sheep-wool extracts by different chromatographic methods

Sheep on the island of North Ronaldsay (Orkney, UK) feed mostly on seaweed, which contains high concentrations of dimethylated arsenoribosides. Wool of these sheep contains dimethylated, monomethylated and inorganic arsenic, in addition to unidentified arsenic species in unbound and complexed form. Chromatographic techniques using different separation mechanisms and detectors enabled us to identify five arsenic species in water extracts of wool. The wool contained 5.2 ± 2.3 μg arsenic per gram wool. About 80% of the arsenic in wool was extracted by boiling the wool with water. The main species is dimethylarsenic, which accounted for about 75 to 85%, monomethylated arsenic at about 5% and the rest is inorganic arsenic. Depending on the separation method and condition, the chromatographic recovery of arsenic species was between 45% for the anion exchange column, 68% for the size exclusion chromatography (SEC) and 82% for the cation exchange column. The SEC revealed the occurrence of two unknown arsenic compounds, of which one was probably a high molecular mass species. Since chromatographic recovery can be improved by either treating the extract with CuCl/HCl (CAT: 90%) or longer storage of the sample (CAT: 105%), in particular for methylated arsenic species, it can be assumed that labile arsenic -protein-like coordination species occur in the extract, which cannot be speciated with conventional chromatographic methods. It is clear from our study of sheep wool that there can be different kinds of 'hidden' arsenic in biological matrices, depending on the extraction, separation and detection methods used. Hidden species can be defined as species that are not recordable by the detection system, not extractable or do not elute from chromatographic columns. Copyright © 2003 John Wiley & Sons, Ltd.

An siRNA-based functional genomics screen for the identification of regulators of ciliogenesis and ciliopathy genes

Defects in primary cilium biogenesis underlie the ciliopathies, a growing group of genetic disorders. We describe a whole-genome siRNA-based reverse genetics screen for defects in biogenesis and/or maintenance of the primary cilium, obtaining a global resource. We identify 112 candidate ciliogenesis and ciliopathy genes, including 44 components of the ubiquitin-proteasome system, 12 G-protein-coupled receptors, and 3 pre-mRNA processing factors (PRPF6, PRPF8 and PRPF31) mutated in autosomal dominant retinitis pigmentosa. The PRPFs localize to the connecting cilium, and PRPF8- and PRPF31-mutated cells have ciliary defects. Combining the screen with exome sequencing data identified recessive mutations in PIBF1, also known as CEP90, and C21orf2, also known as LRRC76, as causes of the ciliopathies Joubert and Jeune syndromes. Biochemical approaches place C21orf2 within key ciliopathy-associated protein modules, offering an explanation for the skeletal and retinal involvement observed in individuals with C21orf2 variants. Our global, unbiased approaches provide insights into ciliogenesis complexity and identify roles for unanticipated pathways in human genetic disease.

Quantification of Type VI secretion system activity in macrophages infected with Burkholderia cenocepacia

The Gram-negative bacterial type VI Secretion System (T6SS) delivers toxins to kill orinhibit the growth of susceptible bacteria, while others target eukaryotic cells. Deletionof atsR, a negative regulator of virulence factors in B. cenocepacia K56-2, increasesT6SS activity. Macrophages infected with a K56-2 ΔatsR mutant display dramaticalterations in their actin cytoskeleton architecture that rely on the T6SS, which isresponsible for the inactivation of multiple Rho-family GTPases by an unknownmechanism. We employed a strategy to standardize the bacterial infection ofmacrophages and densitometrically quantify the T6SS-associated cellular phenotype,which allowed us to characterize the phenotype of systematic deletions of each genewithin the T6SS cluster and ten vgrG encoding genes in K56-2 ΔatsR. None of thegenes from the T6SS core cluster and the individual vgrGs were directly responsiblefor the cytoskeletal changes in infected cells. However, a mutant strain with all vgrGgenes deleted was unable to cause macrophage alterations. Despite not being able toidentify a specific effector protein responsible for the cytoskeletal defects inmacrophages, our strategy resulted in the identification of the critical core componentsand accessory proteins of the T6SS assembly machinery and provides a screeningmethod to detect T6SS effectors targeting the actin cytoskeleton in macrophages byrandom mutagenesis.

Identification of Dynamics of Surface Suction Over an Airfoil at Low Reynolds Numbers

This paper deals with identification of dynamics in suction control of airfoils for low Reynolds number regimes (8 x 10^4 - 5 x 10^5). In particular, the dynamics of interest is the map that relates suction pressure and surface pressure. Identification of such dynamics is of use to a variety of active control applications including suction control in small/medium wind turbines which operate in these Reynolds number regimes. Prior research has largely focused on higher Reynolds number regimes, creating a need for such a study. Towards identifying the said dynamic relations, experiments were conducted on NACA0012 airfoil in a wind tunnel. The dynamic relation between suction and surface pressure was identified as an overdamped second order system.

On Variable Selection of a Nonlinear Non-parametric System with a Limited Data Set: A Stepwise Algorithm

his paper considers a problem of identification for a high dimensional nonlinear non-parametric system when only a limited data set is available. The algorithms are proposed for this purpose which exploit the relationship between the input variables and the output and further the inter-dependence of input variables so that the importance of the input variables can be established. A key to these algorithms is the non-parametric two stage input selection algorithm.

Global identification of androgen response elements

Chromatin immunoprecipitation (ChIP) is an invaluable tool in the study of transcriptional regulation. ChIP methods require both a priori knowledge of the transcriptional regulators which are important for a given biological system and high-quality specific antibodies for these targets. The androgen receptor (AR) is known to play essential roles in male sexual development, in prostate cancer and in the function of many other AR-expressing cell types (e.g. neurons and myocytes). As a ligand-activated transcription factor the AR also represents an endogenous, inducible system to study transcriptional biology. Therefore, ChIP studies of the AR can make use of treatment contrast experiments to define its transcriptional targets. To date several studies have mapped AR binding sites using ChIP in combination with genome tiling microarrays (ChIP-chip) or direct sequencing (ChIP-seq), mainly in prostate cancer cell lines and with varying degrees of genomic coverage. These studies have provided new insights into the DNA sequences to which the AR can bind, identified AR cooperating transcription factors, mapped thousands of potential AR regulated genes and provided insights into the biological processes regulated by the AR. However, further ChIP studies will be required to fully characterise the dynamics of the AR-regulated transcriptional programme, to map the occupancy of different AR transcriptional complexes which result in different transcriptional output and to delineate the transcriptional networks downstream of the AR.

Identification of Small Signal Oscillation Mode Parameters from Simulated and Actual PMU Ringdown Data

This paper presents the practical use of Prony Analysis to identify small signal oscillation mode parameters from simulated and actual phasor measurement unit (PMU) ringdown data. A well-known two-area four-machine power system was considered as a study case while the latest PMU ringdown data were collected from a double circuit 275 kV main interconnector on the Irish power system. The eigenvalue analysis and power spectral density were also conducted for the purpose of comparison. The capability of Prony Analysis to identify the mode parameters from three different types of simulated PMU ringdown data has been shown successfully. Furthermore, the results indicate that the Irish power system has dominant frequency modes at different frequencies. However, each mode has good system damping.

Identification of human neutrophil defensins (HNPs1-3) in biopsies of squamous cell carcinomas of the human tongue

It has previously been reported that the a-defensins, found in the granules of polymorphonuclear leukocytes (neutrophils/ PMNs), are cytolytic for human tumour cells in vitro. Objective: To identify and quantify the a- defensins, HNP-1, HNP-2 and HNP-3 in healthy and tumour tissue from patients with oral squamous cell carcinoma using HPLC, mass spectrometry and amino acid sequencing. Methods: All patients (n=5) were diagnosed with oral squamous cell carcinoma of the tongue.Biopsy tissue from the site of the tumour (n=5) and a non-affected region of the tongue (n=5) was snap frozen and subsequently stored at -70 ºC until analysed. Peptides were extracted from the 10 tissue biopsies using acidified ethanol. Peptide extracts were separated by reverse-phase HPLC . All tumour and control tissue samples were individually analysed under identical conditions with a flow rate of l ml/min, ambient column temperature and absorbance detection at 214 and 280 nm. Fractions (1ml) were collected automatically. HPLC fractions were analysed by MALDI-MS using a linear time-of-flight Voyager DE-mass spectrometer (PerSeptive Biosystems, UK). Using this system the detection limit was 10 fmol. Peptides with molecular masses corresponding to those reported for the a-defensins were deemed of interest and were further subject to complete structural analysis by automated Edman degradation using an Applied Biosystems 491 Procise microsequencer. Results: MALDI-MS revealed a triad of peptides of molecular masses 3442 Da, 3371 Da and 3486 Da in both healthy and tumour tissue. Full length sequence data were obtained for the three a-defensins, unequivocally identifying their presence in both tumour and healthy tissue. Analysis of the MALDI-MS and sequence data indicated that the a-defensins were overexpressed (up to 12 fold) in tumour tissue. Conclusion: This study demonstrates the feasibility of screening tumour tissue for novel peptides/proteins using HPLC and MALDI-MS.The role of a-defensins in oral squamous cell carcinoma of the tongue requires further investigation.

Identification of protein complexes in Alzheimer's disease

A Doença de Alzheimer (AD) é a maior doença neurodegenerativa a nível mundial, e a principal causa de demência na população idosa. O processamento da proteína precursora de amilóide (APP) pelas β- e g- secretases origina o peptídeo Aβ, que agrega em oligómeros neurotóxicos e em placas senis. Estes são eventos-chave na patogénese da DA que levam à rutura da neurotransmissão sináptica, morte neuronal e inflamação neuronal do hipocampo e córtex cerebral, causando perda de memória disfunção cognitiva geral. Apesar dos grandes avanços no conhecimento do papel do processamento da APP na DA, a sua função fisiológica ainda não foi totalmente elucidada. Os mapas de interações proteína-proteína (PPI) humanos têm desempenhado um papel importante na investigação biomédica, em particular no estudo de vias de sinalização e de doenças humanas. O método dois-híbrido em levedura (YTH) consiste numa plataforma para a produção rápida de redes de PPI em larga-escala. Neste trabalho foram realizados vários rastreios YTH com o objetivo de identificar proteínas específicas de cérebro humano que interagissem com a APP, ou com o seu domínio intracelular (AICD), tanto o tipo selvagem como com os mutantes Y687F, que mimetizam o estado desfosforilado do resíduo Tyr-687. De facto, a endocitose da APP e a produção de Aβ estão dependentes do estado de fosforilação da Tyr-687. Os rastreios YTH permitiram assim obter de redes proteínas que interagem com a APP, utilizando como “isco” a APP, APPY687F e AICDY687F. Os clones positivos foram isolados e identificados através de sequenciação do cDNA. A maior parte dos clones identificados, 118, correspondia a sequências que codificam para proteínas conhecidas, resultando em 31 proteínas distintas. A análise de proteómica funcional das proteínas identificadas neste estudo e em dois projetos anteriores (AICDY687E, que mimetiza a fosforilação, e AICD tipo selvagem), permitiram avaliar a relevância da fosforilação da Tyr-687. Três clones provenientes do rastreio YTH com a APPY687F foram identificados como um novo transcrito da proteína Fe65, resultante de splicing alternativo, a Fe65E3a (GenBank Accession: EF103274), que codifica para a isoforma p60Fe65. A p60Fe65 está enriquecida no cérebro e os seus níveis aumentam durante a diferenciação neuronal de células PC12, evidenciando o potencial papel que poderá desempenhar na patologia da DA. A RanBP9 é uma proteína nuclear e citoplasmática envolvida em diversas vias de sinalização celulares. Neste trabalho caracterizou-se a nova interação entre a RanBP9 e o AICD, que pode ser regulada pela fosforilação da Tyr-687. Adicionalmente, foi identificada uma nova interação entre a RanBP9 e a acetiltransferase de histonas Tip60. Demonstrou-se ainda que a RanBP9 tem um efeito de regulação inibitório na transcrição mediada por AICD, através da interação com a Tip60, afastando o AICD dos locais de transcrição ativos. O estudo do interactoma da APP/AICD, modelado pela fosforilação da Tyr-687, revela que a APP poderá estar envolvida em novas vias celulares, contribuindo não só para o conhecimento do papel fisiológico da APP, como também auxilia a revelar as vias que levam à agregação de Aβ e neurodegeneração. A potencial relevância deste trabalho relaciona-se com a descoberta de algumas interações proteicas/vias de sinalização que podem que podem ser relevantes para o desenvolvimento de novas estratégias terapêuticas na DA.

Identification of molecules and pathways regulating mistranslation in Candida albicans

Candida albicans is the major fungal pathogen in humans, causing diseases ranging from mild skin infections to severe systemic infections in immunocompromised individuals. The pathogenic nature of this organism is mostly due to its capacity to proliferate in numerous body sites and to its ability to adapt to drastic changes in the environment. Candida albicans exhibit a unique translational system, decoding the leucine-CUG codon ambiguously as leucine (3% of codons) and serine (97%) using a hybrid serine tRNA (tRNACAGSer). This tRNACAGSer is aminoacylated by two aminoacyl tRNA synthetases (aaRSs): leucyl-tRNA synthetase (LeuRS) and seryl-tRNA synthetase (SerRS). Previous studies showed that exposure of C. albicans to macrophages, oxidative, pH stress and antifungals increases Leu misincorporation levels from 3% to 15%, suggesting that C. albicans has the ability to regulate mistranslation levels in response to host defenses, antifungals and environmental stresses. Therefore, the hypothesis tested in this work is that Leu and Ser misincorporation at CUG codons is dependent upon competition between the LeuRS and SerRS for the tRNACAGSer. To test this hypothesis, levels of the SerRS and LeuRS were indirectly quantified under different physiological conditions, using a fluorescent reporter system that measures the activity of the respective promoters. Results suggest that an increase in Leu misincorporation at CUG codons is associated with an increase in LeuRS expression, with levels of SerRS being maintained. In the second part of the work, the objective was to identify putative regulators of SerRS and LeuRS expression. To accomplish this goal, C. albicans strains from a transcription factor knock-out collection were transformed with the fluorescent reporter system and expression of both aaRSs was quantified. Alterations in the LeuRS/SerRS expression of mutant strains compared to wild type strain allowed the identification of 5 transcription factors as possible regulators of expression of LeuRS and SerRS: ASH1, HAP2, HAP3, RTG3 and STB5. Globally, this work provides the first step to elucidate the molecular mechanism of regulation of mistranslation in C. albicans.

Fuzzy model identification by evolutionary, gradient based and memtic algorithms

One of the crucial problems of fuzzy rule modeling is how to find an optimal or at least a quasi-optimal rule base fro a certain system. In most applications there is no human expert available, or, the result of a human expert's decision is too much subjective and is not reproducible, thus some automatic method to determine the fuzzy rule base must be deployed.

Identification and study of novel genes expressed in the heart precursor cells

Understanding heart development on a molecular level is a requirement for uncovering the causes of congenital heart diseases. Several genes have been implicated as critical for heart development. However, the inducers of these genes as well as their targets and pathways, remain largely unknown. We have identified a promoter element of chick cCer able to drive EGFP expression in a population of cells that consistently exit from the anterior primitive streak region, from as early as stage HH3+, and that later will populate the heart. Using this promoter element as a tool allowed us to identify novel genes previously not known to potentially play a role in heart development. In order to identify and study genes expressed and involved in the correct development and differentiation of the vertebrate heart precursor cell (HPC) lineages, a differential screening using Affymetrix GeneChip® system technologies was performed. Remarkably, this screening led to the identification of more than 700 transcripts differentially expressed in the heart forming regions (HFR). Bioinformatic tools allowed us to filter the large amount of data generated from this approach and to select a few transcripts for in vivo validation. Five genes were selected for further characterization by whole mount in situ hybridization leading to the validation of their expression in the HPC. From those, Adtk1 and Ccbe1 were selected for functional analysis. Regarding to ccbe1, a more detailed WISH analysis was performed and showed that Ccbe1 is expressed specifically on the cardiac progenitors regions at HH4, more specifically in primary heart field and at later stages is present in the second heart field. Further functional analyses by knockdown and overexpression revealed an important role for Ccbe1 in early heart tube formation. Moreover, the results presented in this thesis suggested that Ccbe1 is a key gene during heart development and might be limited to multipotent and highly proliferative progenitors and downregulated upon cellular commitment into more specific cardiac phenotypes. Other of the genes identified, Adtk1 was also subjected to further functional studies. Knockdown of Adtk1 using morpholino oligonucleotides suggested that it might be necessary for the migration and fusion of the heart tube as well as for neural tube closure.