Subsidence damage assessment of a Gothic church using differential interferometry and field data

The Santas Justa and Rufina Gothic church (fourteenth century) has suffered several physical, mechanical, chemical, and biochemical types of pathologies along its history: rock alveolization, efflorescence, biological activity, and capillary ascent of groundwater. However, during the last two decades, a new phenomenon has seriously affected the church: ground subsidence caused by aquifer overexploitation. Subsidence is a process that affects the whole Vega Baja of the Segura River basin and consists of gradual sinking in the ground surface caused by soil consolidation due to a pore pressure decrease. This phenomenon has been studied by differential synthetic aperture radar interferometry techniques, which illustrate settlements up to 100 mm for the 1993–2009 period for the whole Orihuela city. Although no differential synthetic aperture radar interferometry information is available for the church due to the loss of interferometric coherence, the spatial analysis of nearby deformation combined with fieldwork has advanced the current understanding on the mechanisms that affect the Santas Justa and Rufina church. These results show the potential interest and the limitations of using this remote sensing technique as a complementary tool for the forensic analysis of building structures.

Bubble detection in Brazil’s stock market: application of the generalized superior augmented Dickey-Fuller test

Considering the importance of the proper detection of bubbles in financial markets for policymakers and market agents, we used two techniques described in Diba and Grossman (1988b) and in Phillips, Shi, and Yu (2015) to detect periods of exuberance in the recent history of the Brazillian stock market. First, a simple cointegration test is applied. Secondly, we conducted several augmented, right-tailed Dickey-Fuller tests on rolling windows of data to determine the point in which there’s a structural break and the series loses its stationarity.

Structural basis and prediction of substrate specificity in protein serine/threonine kinases

The large number of protein kinases makes it impractical to determine their specificities and substrates experimentally. Using the available crystal structures, molecular modeling, and sequence analyses of kinases and substrates, we developed a set of rules governing the binding of a heptapeptide substrate motif (surrounding the phosphorylation site) to the kinase and implemented these rules in a web-interfaced program for automated prediction of optimal substrate peptides, taking only the amino acid sequence of a protein kinase as input. We show the utility of the method by analyzing yeast cell cycle control and DNA damage checkpoint pathways. Our method is the only available predictive method generally applicable for identifying possible substrate proteins for protein serine/threonine kinases and helps in silico construction of signaling pathways. The accuracy of prediction is comparable to the accuracy of data from systematic large-scale experimental approaches.

Damage by eutectic particle cracking in aluminum casting alloys A356/357

The strain dependence of particle cracking in aluminum alloys A356/357 in the T6 temper has been studied in a range of microstructures produced by varying solidification rate and Mg content, and by chemical (Sr) modification of the eutectic silicon. The damage accumulates linearly with the applied strain for all microstructures, but the rate depends on the secondary dendrite arm spacing and modification state. Large and elongated eutectic silicon particles in the unmodified alloys and large pi-phase (Al9FeMg3Si5) particles in alloy A357 show the greatest tendency to cracking. In alloy A356, cracking of eutectic silicon particles dominates the accumulation of damage while cracking of Fe-rich particles is relatively unimportant. However, in alloy A357, especially with Sr modification, cracking of the large pi-phase intermetallics accounts for the majority of damage at low and intermediate strains but becomes comparable with silicon particle cracking at large strains. Fracture occurs when the volume fraction of cracked particles (eutectic silicon and Fe-rich intermetallics combined) approximates 45 pct of the total particle volume fraction or when the number fraction of cracked particles is about 20 pct. The results are discussed in terms of Weibull statistics and existing models for dispersion hardening.

Structural, electrical, and optical analysis of ion implanted semi-insulating InP

Semi-insulating InP was implanted with MeV P, As, Ga, and In ions, and the resulting evolution of structural properties with increased annealing temperature was analyzed using double crystal x-ray diffractometry and cross sectional transmission electron microscopy. The types of damage identified are correlated with scanning spreading resistance and scanning capacitance measurements, as well as with previously measured Hall effect and time resolved photoluminescence results. We have identified multiple layers of conductivity in the samples which occur due to the nonuniform damage profile of a single implant. Our structural studies have shown that the amount and type of damage caused by implantation does not scale with implant ion atomic mass. (C) 2004 American Institute of Physics.

Lattice damage produced in GaN by swift heavy ions

Wurtzite GaN epilayers bombarded at 300 K with 200 MeV Au-197(16+) ions are studied by a combination of transmission electron microscopy (TEM) and Rutherford backscattering/channeling spectrometry (RBS/C). Results reveal the formation of near-continuous tracks propagating throughout the entire similar to1.5-mum-thick GaN film. These tracks, similar to100 Angstrom in diameter, exhibit a large degree of structural disordering but do not appear to be amorphous. Throughout the bombarded epilayer, high-resolution TEM reveals planar defects which are parallel to the basal plane of the GaN film. The gross level of lattice disorder, as measured by RBS/C, gradually increases with increasing ion fluence up to similar to10(13) cm(-2). For larger fluences, delamination of the nitride film from the sapphire substrate occurs. Based on these results, physical mechanisms of the formation of lattice disorder in GaN in such a high electronic stopping power regime are discussed. (C) 2004 American Institute of Physics.

GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA

Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA structure and flexibility may also play a role in protein-DNA interactions, the simultaneous exploration of sequence-and structure-based hypotheses about the composition of binding sites and the ordering of features in a regulatory region should be considered as well. The consideration of structural features requires the development of new detection tools that can deal with data types other than primary sequence. Results: GANN ( available at http://bioinformatics.org.au/gann) is a machine learning tool for the detection of conserved features in DNA. The software suite contains programs to extract different regions of genomic DNA from flat files and convert these sequences to indices that reflect sequence and structural composition or the presence of specific protein binding sites. The machine learning component allows the classification of different types of sequences based on subsamples of these indices, and can identify the best combinations of indices and machine learning architecture for sequence discrimination. Another key feature of GANN is the replicated splitting of data into training and test sets, and the implementation of negative controls. In validation experiments, GANN successfully merged important sequence and structural features to yield good predictive models for synthetic and real regulatory regions. Conclusion: GANN is a flexible tool that can search through large sets of sequence and structural feature combinations to identify those that best characterize a set of sequences.

The pathophysiology of 'brain shrinkage' in alcoholics - Structural and molecular changes and clinical implications

This article represents a symposium of the 2004 ISBRA Congress held in Mannheim. The presentations were: Review of the neuropathological and neurochemical changes seen in alcohol-related ' brain shrinkage ' by Clive Harper; In Vivo Detection of Macrostructural and Microstructural Markers of Brain Integrity in Human Alcoholism and a Rodent Model of Alcoholism by Adolf Pfefferbaum, Elfar Adalsteinsson and Edith Sullivan; Gene and Protein Changes in the Brains of Alcoholics with ' Brain Shrinkage ' by Joanne Lewohl and Peter Dodd; Cross sectional and longitudinal MR spectroscopy studies of chronic adult alcoholics by Michael Taylor; Brain Atrophy Associated with Impairment on a Simulated Gambling Task in Long-Term Abstinent Alcoholics by George Fein and Bennett Landman.

Off-line signature verification and forgery detection using fuzzy modeling

Automatic signature verification is a well-established and an active area of research with numerous applications such as bank check verification, ATM access, etc. This paper proposes a novel approach to the problem of automatic off-line signature verification and forgery detection. The proposed approach is based on fuzzy modeling that employs the Takagi-Sugeno (TS) model. Signature verification and forgery detection are carried out using angle features extracted from box approach. Each feature corresponds to a fuzzy set. The features are fuzzified by an exponential membership function involved in the TS model, which is modified to include structural parameters. The structural parameters are devised to take account of possible variations due to handwriting styles and to reflect moods. The membership functions constitute weights in the TS model. The optimization of the output of the TS model with respect to the structural parameters yields the solution for the parameters. We have also derived two TS models by considering a rule for each input feature in the first formulation (Multiple rules) and by considering a single rule for all input features in the second formulation. In this work, we have found that TS model with multiple rules is better than TS model with single rule for detecting three types of forgeries; random, skilled and unskilled from a large database of sample signatures in addition to verifying genuine signatures. We have also devised three approaches, viz., an innovative approach and two intuitive approaches using the TS model with multiple rules for improved performance. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Enhanced detection-guided NLMS estimation of sparse FIR-modeled signal channels

In various signal-channel-estimation problems, the channel being estimated may be well approximated by a discrete finite impulse response (FIR) model with sparsely separated active or nonzero taps. A common approach to estimating such channels involves a discrete normalized least-mean-square (NLMS) adaptive FIR filter, every tap of which is adapted at each sample interval. Such an approach suffers from slow convergence rates and poor tracking when the required FIR filter is "long." Recently, NLMS-based algorithms have been proposed that employ least-squares-based structural detection techniques to exploit possible sparse channel structure and subsequently provide improved estimation performance. However, these algorithms perform poorly when there is a large dynamic range amongst the active taps. In this paper, we propose two modifications to the previous algorithms, which essentially remove this limitation. The modifications also significantly improve the applicability of the detection technique to structurally time varying channels. Importantly, for sparse channels, the computational cost of the newly proposed detection-guided NLMS estimator is only marginally greater than that of the standard NLMS estimator. Simulations demonstrate the favourable performance of the newly proposed algorithm. © 2006 IEEE.

A bayesian artificial neural network method to characterise laminar defects using dynamic measurements

This paper reports on the development of an artificial neural network (ANN) method to detect laminar defects following the pattern matching approach utilizing dynamic measurement. Although structural health monitoring (SHM) using ANN has attracted much attention in the last decade, the problem of how to select the optimal class of ANN models has not been investigated in great depth. It turns out that the lack of a rigorous ANN design methodology is one of the main reasons for the delay in the successful application of the promising technique in SHM. In this paper, a Bayesian method is applied in the selection of the optimal class of ANN models for a given set of input/target training data. The ANN design method is demonstrated for the case of the detection and characterisation of laminar defects in carbon fibre-reinforced beams using flexural vibration data for beams with and without non-symmetric delamination damage.

Off-line signature verification and forgery detection system based on fuzzy modeling

This paper presents an innovative approach for signature verification and forgery detection based on fuzzy modeling. The signature image is binarized and resized to a fixed size window and is then thinned. The thinned image is then partitioned into a fixed number of eight sub-images called boxes. This partition is done using the horizontal density approximation approach. Each sub-image is then further resized and again partitioned into twelve further sub-images using the uniform partitioning approach. The features of consideration are normalized vector angle (α) from each box. Each feature extracted from sample signatures gives rise to a fuzzy set. Since the choice of a proper fuzzification function is crucial for verification, we have devised a new fuzzification function with structural parameters, which is able to adapt to the variations in fuzzy sets. This function is employed to develop a complete forgery detection and verification system.

Structural and cellular characterization of Idiopathic Pulmonary Fibrosis

La Fibrosi Polmonare Idiopatica (IPF) è una malattia polmonare cronica, irreversibile la cui eziologia risulta essere ignota, caratterizzata da un processo fibrotico progressivo che inizia nel tratto respiratorio inferiore. Le persone affette da IPF presentano età media compresa tra 55 e 77 anni. L’incidenza annuale di IPF è stata recentemente stimata tra 14 e 42,7 casi per 100.000 persone e tale dato risulta essere in aumento. IPF fa parte delle malattie Polmonari Idiopatiche Interstiziali (IIP) che comprendono patologie con quadri istologici e clinici differenti. Le affezioni su cui si concentrerà questo studio sono: UIP (Usual Interstitial Pneumonia) caratterizzata da fibrosi interstiziale e dalla presenza di foci fibrotici connessi alla pleura e corrispondente al quadro anatomopatologico della maggior parte dei casi di IPF; NSIP (Non Specific Interstitial Pneumonia) simile alla UIP ma con maggiore uniformità temporale e spaziale delle manifestazioni; Sarcoidosi, malattia granulomatosa ad eziologia ignota. Attualmente la gravità della IPF, che implica una mortalità del 50% dei pazienti a 5 anni dall’esordio, e la scarsa efficacia farmacologica nel rallentarne la progressione vedono il trapianto polmonare come unica possibilità di sopravvivenza nelle forme più severe. Al momento non è chiaro il meccanismo patogenetico di insorgenza e progressione della IPF anche se sono stati individuati alcuni fattori scatenanti quali fumo di sigaretta, infezioni respiratorie e inquinanti atmosferici; tuttavia nessuno di tali elementi può da solo determinare un così esteso e progressivo rimodellamento del parenchima polmonare. Numerose sono le evidenze di come il substrato genetico, le alterazioni del rapporto morte/proliferazione cellulare e le citochine svolgano un ruolo nella genesi e nella progressione della malattia, ma non sono ancora chiari i fenomeni biologico-cellulari che la sostengono e, quindi, quali siano i punti di attacco per poter incidere terapeuticamente nel modificare l’evoluzione della IPF. Poiché il nostro laboratorio ha partecipato alla scoperta dell’esistenza di cellule staminali nel polmone umano normale, uno degli obiettivi finali di questo progetto si basa sull’ipotesi che un’alterazione del compartimento staminale svolga un ruolo cruciale nella eziopatogenesi di IPF. Per questo in precedenti esperienze abbiamo cercato di identificare nella IPF cellule che esprimessero antigeni associati a staminalità quali c-kit, CD34 e CD133. Questo lavoro di tesi si è proposto di condurre un’indagine morfometrica ed immunoistochimica su biopsie polmonari provenienti da 9 pazienti affetti da UIP, 3 da NSIP e 5 da Sarcoidosi al fine di valutare le alterazioni strutturali principali imputabili alle patologie. Preparati istologici di 8 polmoni di controllo sono stati usati come confronto. Come atteso, è stato osservato nelle tre patologie esaminate (UIP, NSIP e Sarcoidosi) un significativo incremento nella sostituzione del parenchima polmonare con tessuto fibrotico ed un ispessimento dei setti alveolari rispetto ai campioni di controllo. L’analisi dei diversi pattern di fibrosi presenti fa emergere come vi sia una netta differenza tra le patologie con una maggiore presenza di fibrosi di tipo riparativo e quindi altamente cellulata nei casi di UIP, e NSIP mentre nelle Sarcoidosi il pattern maggiormente rappresentato è risultato essere quello della fibrosi replacement o sostitutiva. La quantificazione delle strutture vascolari è stata effettuata tenendo separate le aree di polmone alveolare rispetto a quelle occupate da focolai sostitutivi di danno (componente fibrotica). Nei campioni patologici analizzati era presente un significativo riarrangiamento di capillari, arteriole e venule rispetto al polmone di controllo, fenomeno principalmente riscontrato nel parenchima fibrotico. Tali modifiche erano maggiormente presenti nei casi di NSIP da noi analizzati. Inoltre le arteriole subivano una diminuzione di calibro ed un aumento dello spessore in special modo nei polmoni ottenuti da pazienti affetti da Sarcoidosi. Rispetto ai controlli, nella UIP e nella Sarcoidosi i vasi linfatici risultavano inalterati nell’area alveolare mentre aumentavano nelle aree di estesa fibrosi; quadro differente si osservava nella NSIP dove le strutture linfatiche aumentavano in entrambe le componenti strutturali. Mediante indagini immunoistochimiche è stata documentata la presenza e distribuzione dei miofibroblasti, positivi per actina muscolare liscia e vimentina, che rappresentano un importante componente del danno tissutale nella IPF. La quantificazione di questo particolare fenotipo è attualmente in corso. Abbiamo inoltre analizzato tramite immunoistochimica la componente immunitaria presente nei campioni polmonari attraverso la documentazione dei linfociti T totali che esprimono CD3, andando poi a identificare la sottopopolazione di T citotossici esprimenti la glicoproteina CD8. La popolazione linfocitaria CD3pos risultava notevolmente aumentata nelle tre patologie analizzate soprattutto nei casi di UIP e Sarcoidosi sebbene l`analisi della loro distribuzione tra i vari distretti tissutali risultasse differente. Risultati simili si sono ottenuti per l`analisi dei linfociti CD8pos. La componente monocito-macrofagica è stata invece identificata tramite la glicoproteina CD68 che ha messo in evidenza una maggiore presenza di cellule positive nella Sarcoidosi e nella UIP rispetto ai casi di NSIP. I dati preliminari di questo studio indicano che il rimodellamento strutturale emo-linfatico e cellulare infiammatorio nella UIP si differenziano rispetto alle altre malattie interstiziali del polmone, avanzando l’ipotesi che il microambiente vascolare ed immunitario giochino un ruolo importante nella patogenesi della malattia

Redox signalling and detection of protein oxidation by mass spectrometry

It is now recognised that redox control of proteins plays an important role in many signalling pathways both in health and disease. Proteins can undergo a wide variety of oxidative post-translational modifications (oxPTM); while the reversible modifications are thought to be most important in physiological processes, non-reversible oxPTM may contribute to pathological situations and disease. The oxidant is also important in determining the type of oxPTM (chlorination, nitration, etc.), and the susceptibilities of residues vary depending on their structural location. The best characterized oxPTMs involved in signalling modulation are partial oxidations of cysteine to the disulfide, glutathionylated or sulfenic acid forms, but there is increasing evidence that specific oxidations of methionine and tyrosine may have some biological roles. Well understood examples of oxidative regulation include protein tyrosine phosphatases, e.g. PTP1B/C, and members of the MAPK pathways such as MEKK1 and ASK1. Transcription factors such as NFkB and Nrf-2 are also regulated by redox-active cysteines. Improved methods for analysing specific oxPTMs in biological samples are critical for understanding the physiological and pathological roles of these changes, and tandem or MS3 mass spectrometry techniques interfaced with nano-LC separation are being now used. MS3 fragmentation markers for a variety of oxidized residues including tyrosine, tryptophan and proline have been identified, and a precursor ion scanning method that allows the selective identification of these oxPTMs in complex samples has been developed. Such advances in technology offer potential for biomarker development, disease diagnosis and understanding pathology.

Protein oxidative modifications:new mass spectrometry approaches to detection in biological samples

In inflammatory diseases, release of oxidants leads to oxidative damage to proteins. The precise nature of oxidative damage to individual proteins depends on the oxidant involved. Chlorination and nitration are markers of modification by the myeloperoxidase-H2O2-Cl- system and nitric oxide-derived oxidants, respectively. Although these modifications can be detected by western blotting, currently no reliable method exists to identify the specific sites damage to individual proteins in complex mixtures such as clinical samples. We are developing novel LCMS2 and precursor ion scanning methods to address this. LC-MS2 allows separation of peptides and detection of mass changes in oxidized residues on fragmentation of the peptides. We have identified indicative fragment ions for chlorotyrosine, nitrotyrosine, hydroxytyrosine and hydroxytryptophan. A nano-LC/MS3 method involving the dissociation of immonium ions to give specific fragments for the oxidized residues has been developed to overcome the problem of false positives from ions isobaric to these immonium ions that exist in unmodified peptides. The approach has proved able to identify precise protein modifications in individual proteins and mixtures of proteins. An alternative methodology involves multiple reaction monitoring for precursors and fragment ions are specific to oxidized and chlorinated proteins, and this has been tested with human serum albumin. Our ultimate aim is to apply this methodology to the detection of oxidative post-translational modifications in clinical samples for disease diagnosis, monitoring the outcomes of therapy, and improved understanding of disease biochemistry.