Multi-planet extrasolar systems - detection and dynamics

20 years after the discovery of the first planets outside our solar system, the current exoplanetary population includes more than 700 confirmed planets around main sequence stars. Approximately 50% belong to multiple-planet systems in very diverse dynamical configurations, from two-planet hierarchical systems to multiple resonances that could only have been attained as the consequence of a smooth large-scale orbital migration. The first part of this paper reviews the main detection techniques employed for the detection and orbital characterization of multiple-planet systems, from the (now) classical radial velocity (RV) method to the use of transit time variations (TTV) for the identification of additional planetary bodies orbiting the same star. In the second part we discuss the dynamical evolution of multi-planet systems due to their mutual gravitational interactions. We analyze possible modes of motion for hierarchical, secular or resonant configurations, and what stability criteria can be defined in each case. In some cases, the dynamics can be well approximated by simple analytical expressions for the Hamiltonian function, while other configurations can only be studied with semi-analytical or numerical tools. In particular, we show how mean-motion resonances can generate complex structures in the phase space where different libration islands and circulation domains are separated by chaotic layers. In all cases we use real exoplanetary systems as working examples.

Laparoscopic Adrenalectomy in Children for Neuroblastoma: Report of Case Series

Background: Neuroblastoma is one of the most common solid tumors in the pediatric population and the adrenal gland is the main abdominal site of this tumor. The laparoscopic approach has become the standard of care for most benign adrenal tumors in adults, but the role of laparoscopic adrenalectomy in children for malignant tumor is still a point of controversy. However, there is a growing experience with laparoscopic neuroblastoma resection of small lesions and the use of minimally invasive techniques for the initial management of infiltrative neuroblastoma in the last years. The aim of this study is to describe our initial experience with laparoscopic adrenalectomy for neuroblastoma in children, based on surgical outcomes. Methods: A retrospective review of 7 laparoscopic adrenalectomies performed in a single institution between October 2008 and October 2009. We focused our analysis on early surgical outcomes. Results: The mean tumoral size was 2.8 +/- 0.9 cm, the average surgical time was 38.6 +/- 65.5 minutes, and the mean hospital stay was 2.9 +/- 1.6 days. One stage IV patient was submitted to conversion due to bleeding and needed blood transfusion. There were no late complications or deaths and the mean follow-up time was 18.8 +/- 6.1 months. Conclusions: The laparoscopic approach for adrenal neuroblastoma resection is feasible in children with good outcomes, but should be reserved to patients with small, well-circumscribed adrenal lesions, without invasive or infiltrative disease.

Acrodermatitis due to zinc deficiency after combined vertical gastroplasty with jejunoileal bypass: case report

CONTEXT: Nutritional complications may occur after bariatric surgery, due to restriction of food intake and impaired digestion or absorption of nutrients. CASE REPORT: After undergoing vertical gastroplasty and jejunoileal bypass, a female patient presented marked weight loss and protein deficiency. Seven months after the bariatric surgery, she presented dermatological features compatible with acrodermatitis enteropathica, as seen from the plasma zinc levels, which were below the reference values (34.4 mg%). The skin lesions improved significantly after 1,000 mg/day of zinc sulfate supplementation for one week. CONCLUSIONS: The patient's evolution shows that the multidisciplinary team involved in surgical treatment of obesity should take nutritional deficiencies into consideration in the differential diagnosis of skin diseases, in order to institute early treatment.

Analysis by MRI of Residual Tumor After Radiofrequency Ablation for Early Stage Breast Cancer

OBJECTIVE. The objective of our study was to evaluate the effectiveness of MRI in the detection of possible residual lesions after radiofrequency ablation (RFA) in the treatment of breast cancer. SUBJECTS AND METHODS. We prospectively evaluated 14 patients who had undergone ultrasound-guided core biopsies diagnostic of invasive ductal carcinoma (IDC; range of diameters, 1.0-3.0 cm) and then ultrasound-guided percutaneous RFA with sentinel node biopsy as the primary treatment. Breast MRI was performed 1 week before RFA to evaluate tumor extension and again 3 weeks after RFA to verify the presence of possible residual lesions. Conventional surgical resection of the tumors was performed 1 week after RFA. The MRI findings were compared with histopathologic analyses to confirm the presence or absence of residual tumor. RESULTS. There was no residual enhancement in seven lesions on the postablation breast MRI scans. These findings were confirmed by negative histopathologic findings in the surgical specimens. The MRI scans of five patients showed small areas of irregular enhancement that corresponded to residual lesions. In the two remaining patients, we observed enhancement of almost the entire lesion, indicating that RFA had failed. CONCLUSION. Breast MRI is effective in detecting residual lesions after RFA in patients with IDC.

Factors associated with maternal intrapartum transfers from a freestanding birth centre in Sao Paulo, Brazil: A case control study

Objectives: to identify factors associated with maternal intrapartum transfer from a freestanding birth centre to hospital. Design: case-control study with retrospective data collection. Participants and settings: cases included all 111 women transferred from a freestanding birth centre in Sao Paulo to the referral hospital, from March 2002 to December 2009. The controls were 456 women who gave birth in the birth centre during the same period who were not transferred, randomly selected with four controls for each case. Methods: data were obtained from maternal records. Factors associated with maternal intrapartum transfers were initially analysed using a chi(2) test of association. Variables with p < 0.20 were then included in multivariate analyses. A multiple logistic regression model was built using stepwise forward selection; variables which reached statistical significance at p < 0.05 were considered to be independently associated with maternal transfer. Findings: during the study data collection period, 111(4%) of 2,736 women admitted to the centre were transferred intrapartum. Variables identified as independently associated factors for intrapartum transfer included nulliparity (OR 5.1, 95% CI 2.7-9.8), maternal age >= 35 years (OR 5.4, 95% CI 2.1-13.4), not having a partner (OR 2.8, 95% CI 1.5-5.3), cervical dilation <= 3 cm on admission to the birth centre (OR 1.9, 95% CI 1.1-3.2) and between 5 and 12 antenatal appointments at the birth centre (OR 3.8, 95% CI 1.9-7.5). In contrast, a low correlation between fundal height and pregnancy gestation (OR 0.3, 95% CI 0.2-0.6) appeared to be protective against transfer. Conclusions and implications for practice: identifying factors associated with maternal intrapartum transfer could support decision making by women considering options for place of birth, and support the content of appropriate information about criteria for admission to a birth centre. Findings add to the evidence base to support identification of women in early labour who may experience later complications and could support timely implementation of appropriate interventions associated with reducing transfer rates. (C) 2012 Elsevier Ltd. All rights reserved.

A familial case with interstitial 2q36 deletion: Variable phenotypic expression in full and mosaic state

Submicroscopic chromosomal anomalies play an important role in the etiology of craniofacial malformations, including midline facial defects with hypertelorism (MFDH). MFDH is a common feature combination in several conditions, of which Frontonasal Dysplasia is the most frequently encountered manifestation; in most cases the etiology remains unknown. We identified a parent to child transmission of a 6.2 Mb interstitial deletion of chromosome region 2q36.1q36.3 by array-CGH and confirmed by FISH and microsatellite analysis. The patient and her mother both presented an MFDH phenotype although the phenotype in the mother was much milder than her daughter. Inspection of haplotype segregation within the family of 2q36.1 region suggests that the deletion arose on a chromosome derived from the maternal grandfather. Evidences based on FISH, microsatellite and array-CGH analysis point to a high frequency mosaicism for presence of a deleted region 2q36 occurring in blood of the mother. The frequency of mosaicism in other tissues could not be determined. We here suggest that the milder phenotype observed in the proband's mother can be explained by the mosaic state of the deletion. This most likely arose by an early embryonic deletion in the maternal embryo resulting in both gonadal and somatic mosaicism of two cell lines, with and without the deleted chromosome. The occurrence of gonadal mosaicism increases the recurrence risk significantly and is often either underestimated or not even taken into account in genetic counseling where new mutation is suspected. (C) 2012 Elsevier Masson SAS. All rights reserved.

Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool

Fraud is a global problem that has required more attention due to an accentuated expansion of modern technology and communication. When statistical techniques are used to detect fraud, whether a fraud detection model is accurate enough in order to provide correct classification of the case as a fraudulent or legitimate is a critical factor. In this context, the concept of bootstrap aggregating (bagging) arises. The basic idea is to generate multiple classifiers by obtaining the predicted values from the adjusted models to several replicated datasets and then combining them into a single predictive classification in order to improve the classification accuracy. In this paper, for the first time, we aim to present a pioneer study of the performance of the discrete and continuous k-dependence probabilistic networks within the context of bagging predictors classification. Via a large simulation study and various real datasets, we discovered that the probabilistic networks are a strong modeling option with high predictive capacity and with a high increment using the bagging procedure when compared to traditional techniques. (C) 2012 Elsevier Ltd. All rights reserved.

CASE-CONTROL STUDY OF AN OUTBREAK OF ACUTE TOXOPLASMOSIS IN AN INDUSTRIAL PLANT IN THE STATE OF SÃO PAULO, BRAZIL

Foodborne diseases represent operational risks in industrial restaurants. We described an outbreak of nine clustered cases of acute illness resembling acute toxoplasmosis in an industrial plant with 2300 employees. These patients and another 36 similar asymptomatic employees were diagnosed with anti-T. gondii IgG titer and avidity by ELISA. We excluded 14 patients based on high IgG avidity and chronic toxoplasmosis: 13 from controls and one from acute disease other than T. gondii infection. We also identified another three asymptomatic employees with T.gondii acute infection and also anti-T. gondii IgM positive as remaining acute cases. Case control study was conducted by interview in 11 acute infections and 20 negative controls. The ingestion of green vegetables, but not meat or water, was observed to be associated with the incidence of acute disease. These data reinforce the importance of sanitation control in industrial restaurants and also demonstrate the need for improvement in quality control regarding vegetables at risk for T. gondii oocyst contamination. We emphasized the accurate diagnosis of indexed cases and the detection of asymptomatic infections to determine the extent of the toxoplasmosis outbreak.

Case-control study of an outbreak of acute toxoplasmosis in an industrial plant in the state of São Paulo, Brazil

Foodborne diseases represent operational risks in industrial restaurants. We described an outbreak of nine clustered cases of acute illness resembling acute toxoplasmosis in an industrial plant with 2300 employees. These patients and another 36 similar asymptomatic employees were diagnosed with anti-T. gondii IgG titer and avidity by ELISA. We excluded 14 patients based on high IgG avidity and chronic toxoplasmosis: 13 from controls and one from acute disease other than T. gondii infection. We also identified another three asymptomatic employees with T.gondii acute infection and also anti-T. gondii IgM positive as remaining acute cases. Case control study was conducted by interview in 11 acute infections and 20 negative controls. The ingestion of green vegetables, but not meat or water, was observed to be associated with the incidence of acute disease. These data reinforce the importance of sanitation control in industrial restaurants and also demonstrate the need for improvement in quality control regarding vegetables at risk for T. gondii oocyst contamination. We emphasized the accurate diagnosis of indexed cases and the detection of asymptomatic infections to determine the extent of the toxoplasmosis outbreak.

Narrowing the gap of personalized medicine in emerging countries: the case of multiple endocrine neoplasias in Brazil

The finished version of the human genome sequence was completed in 2003, and this event initiated a revolution in medical practice, which is usually referred to as the age of genomic or personalized medicine. Genomic medicine aims to be predictive, personalized, preventive, and also participative (4Ps). It offers a new approach to several pathological conditions, although its impact so far has been more evident in mendelian diseases. This article briefly reviews the potential advantages of this approach, and also some issues that may arise in the attempt to apply the accumulated knowledge from genomic medicine to clinical practice in emerging countries. The advantages of applying genomic medicine into clinical practice are obvious, enabling prediction, prevention, and early diagnosis and treatment of several genetic disorders. However, there are also some issues, such as those related to: (a) the need for approval of a law equivalent to the Genetic Information Nondiscrimination Act, which was approved in 2008 in the USA; (b) the need for private and public funding for genetics and genomics; (c) the need for development of innovative healthcare systems that may substantially cut costs (e.g. costs of periodic medical followup); (d) the need for new graduate and postgraduate curricula in which genomic medicine is emphasized; and (e) the need to adequately inform the population and possible consumers of genetic testing, with reference to the basic aspects of genomic medicine.

Deltocyathiidae, an early-diverging family of Robust corals (Anthozoa, Scleractinia)

Over the last decade, molecular phylogenetics has called into question some fundamental aspects of coral systematics. Within the Scleractinia, most families composed exclusively by zooxanthellate species are polyphyletic on the basis of molecular data, and the second most speciose coral family, the Caryophylliidae (most members of which are azooxanthellate), is an unnatural grouping. As part of the process of resolving taxonomic affinities of caryophylliids', here a new Robust' scleractinian family (Deltocyathiidae fam. n.) is proposed on the basis of combined molecular (CO1 and 28S rDNA) and morphological data, accommodating the early-diverging clade of traditional caryophylliids (represented today by the genus Deltocyathus). Whereas this family captures the full morphological diversity of the genus Deltocyathus, one species, Deltocyathus magnificus, is an outlier in terms of molecular data, and groups with the Complex coral family Turbinoliidae. Ultrastructural data, however, place D.magnificus within Deltocyathiidae fam. nov. Unfortunately, limited ultrastructural data are as yet available for turbinoliids, but D.magnificus may represent the first documented case of morphological convergence at the microstructural level among scleractinian corals. Marcelo V.Kitahara, Centro de Biologia Marinha, Universidade de SAo Paulo, SAo SebastiAo, S.P. 11600-000, Brazil. E-mail:kitahara@usp.br

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.

Utilizzo metrico di immagini panoramiche satellitari CORONA

CAPITOLO 1 INTRODUZIONE Il lavoro presentato è relativo all’utilizzo a fini metrici di immagini satellitari storiche a geometria panoramica; in particolare sono state elaborate immagini satellitari acquisite dalla piattaforma statunitense CORONA, progettata ed impiegata essenzialmente a scopi militari tra gli anni ’60 e ’70 del secolo scorso, e recentemente soggette ad una declassificazione che ne ha consentito l’accesso anche a scopi ed utenti non militari. Il tema del recupero di immagini aeree e satellitari del passato è di grande interesse per un ampio spettro di applicazioni sul territorio, dall’analisi dello sviluppo urbano o in ambito regionale fino ad indagini specifiche locali relative a siti di interesse archeologico, industriale, ambientale. Esiste infatti un grandissimo patrimonio informativo che potrebbe colmare le lacune della documentazione cartografica, di per sé, per ovvi motivi tecnici ed economici, limitata a rappresentare l’evoluzione territoriale in modo asincrono e sporadico, e con “forzature” e limitazioni nel contenuto informativo legate agli scopi ed alle modalità di rappresentazione delle carte nel corso del tempo e per diversi tipi di applicazioni. L’immagine di tipo fotografico offre una rappresentazione completa, ancorché non soggettiva, dell’esistente e può complementare molto efficacemente il dato cartografico o farne le veci laddove questo non esista. La maggior parte del patrimonio di immagini storiche è certamente legata a voli fotogrammetrici che, a partire dai primi decenni del ‘900, hanno interessato vaste aree dei paesi più avanzati, o regioni di interesse a fini bellici. Accanto a queste, ed ovviamente su periodi più vicini a noi, si collocano le immagini acquisite da piattaforma satellitare, tra le quali rivestono un grande interesse quelle realizzate a scopo di spionaggio militare, essendo ad alta risoluzione geometrica e di ottimo dettaglio. Purtroppo, questo ricco patrimonio è ancora oggi in gran parte inaccessibile, anche se recentemente sono state avviate iniziative per permetterne l’accesso a fini civili, in considerazione anche dell’obsolescenza del dato e della disponibilità di altre e migliori fonti di informazione che il moderno telerilevamento ci propone. L’impiego di immagini storiche, siano esse aeree o satellitari, è nella gran parte dei casi di carattere qualitativo, inteso ad investigare sulla presenza o assenza di oggetti o fenomeni, e di rado assume un carattere metrico ed oggettivo, che richiederebbe tra l’altro la conoscenza di dati tecnici (per esempio il certificato di calibrazione nel caso delle camere aerofotogrammetriche) che sono andati perduti o sono inaccessibili. Va ricordato anche che i mezzi di presa dell’epoca erano spesso soggetti a fenomeni di distorsione ottica o altro tipo di degrado delle immagini che ne rendevano difficile un uso metrico. D’altra parte, un utilizzo metrico di queste immagini consentirebbe di conferire all’analisi del territorio e delle modifiche in esso intercorse anche un significato oggettivo che sarebbe essenziale per diversi scopi: per esempio, per potere effettuare misure su oggetti non più esistenti o per potere confrontare con precisione o co-registrare le immagini storiche con quelle attuali opportunamente georeferenziate. Il caso delle immagini Corona è molto interessante, per una serie di specificità che esse presentano: in primo luogo esse associano ad una alta risoluzione (dimensione del pixel a terra fino a 1.80 metri) una ampia copertura a terra (i fotogrammi di alcune missioni coprono strisce lunghe fino a 250 chilometri). Queste due caratteristiche “derivano” dal principio adottato in fase di acquisizione delle immagini stesse, vale a dire la geometria panoramica scelta appunto perché l’unica che consente di associare le due caratteristiche predette e quindi molto indicata ai fini spionaggio. Inoltre, data la numerosità e la frequenza delle missioni all’interno dell’omonimo programma, le serie storiche di questi fotogrammi permettono una ricostruzione “ricca” e “minuziosa” degli assetti territoriali pregressi, data appunto la maggior quantità di informazioni e l’imparzialità associabili ai prodotti fotografici. Va precisato sin dall’inizio come queste immagini, seppur rappresentino una risorsa “storica” notevole (sono datate fra il 1959 ed il 1972 e coprono regioni moto ampie e di grandissimo interesse per analisi territoriali), siano state molto raramente impiegate a scopi metrici. Ciò è probabilmente imputabile al fatto che il loro trattamento a fini metrici non è affatto semplice per tutta una serie di motivi che saranno evidenziati nei capitoli successivi. La sperimentazione condotta nell’ambito della tesi ha avuto due obiettivi primari, uno generale ed uno più particolare: da un lato il tentativo di valutare in senso lato le potenzialità dell’enorme patrimonio rappresentato da tali immagini (reperibili ad un costo basso in confronto a prodotti simili) e dall’altro l’opportunità di indagare la situazione territoriale locale per una zona della Turchia sud orientale (intorno al sito archeologico di Tilmen Höyük) sulla quale è attivo un progetto condotto dall’Università di Bologna (responsabile scientifico il Prof. Nicolò Marchetti del Dipartimento di Archeologia), a cui il DISTART collabora attivamente dal 2005. L’attività è condotta in collaborazione con l’Università di Istanbul ed il Museo Archeologico di Gaziantep. Questo lavoro si inserisce, inoltre, in un’ottica più ampia di quelle esposta, dello studio cioè a carattere regionale della zona in cui si trovano gli scavi archeologici di Tilmen Höyük; la disponibilità di immagini multitemporali su un ampio intervallo temporale, nonché di tipo multi sensore, con dati multispettrali, doterebbe questo studio di strumenti di conoscenza di altissimo interesse per la caratterizzazione dei cambiamenti intercorsi. Per quanto riguarda l’aspetto più generale, mettere a punto una procedura per il trattamento metrico delle immagini CORONA può rivelarsi utile all’intera comunità che ruota attorno al “mondo” dei GIS e del telerilevamento; come prima ricordato tali immagini (che coprono una superficie di quasi due milioni di chilometri quadrati) rappresentano un patrimonio storico fotografico immenso che potrebbe (e dovrebbe) essere utilizzato sia a scopi archeologici, sia come supporto per lo studio, in ambiente GIS, delle dinamiche territoriali di sviluppo di quelle zone in cui sono scarse o addirittura assenti immagini satellitari dati cartografici pregressi. Il lavoro è stato suddiviso in 6 capitoli, di cui il presente costituisce il primo. Il secondo capitolo è stato dedicato alla descrizione sommaria del progetto spaziale CORONA (progetto statunitense condotto a scopo di fotoricognizione del territorio dell’ex Unione Sovietica e delle aree Mediorientali politicamente correlate ad essa); in questa fase vengono riportate notizie in merito alla nascita e all’evoluzione di tale programma, vengono descritti piuttosto dettagliatamente gli aspetti concernenti le ottiche impiegate e le modalità di acquisizione delle immagini, vengono riportati tutti i riferimenti (storici e non) utili a chi volesse approfondire la conoscenza di questo straordinario programma spaziale. Nel terzo capitolo viene presentata una breve discussione in merito alle immagini panoramiche in generale, vale a dire le modalità di acquisizione, gli aspetti geometrici e prospettici alla base del principio panoramico, i pregi ed i difetti di questo tipo di immagini. Vengono inoltre presentati i diversi metodi rintracciabili in bibliografia per la correzione delle immagini panoramiche e quelli impiegati dai diversi autori (pochi per la verità) che hanno scelto di conferire un significato metrico (quindi quantitativo e non solo qualitativo come è accaduto per lungo tempo) alle immagini CORONA. Il quarto capitolo rappresenta una breve descrizione del sito archeologico di Tilmen Höyuk; collocazione geografica, cronologia delle varie campagne di studio che l’hanno riguardato, monumenti e suppellettili rinvenute nell’area e che hanno reso possibili una ricostruzione virtuale dell’aspetto originario della città ed una più profonda comprensione della situazione delle capitali del Mediterraneo durante il periodo del Bronzo Medio. Il quinto capitolo è dedicato allo “scopo” principe del lavoro affrontato, vale a dire la generazione dell’ortofotomosaico relativo alla zona di cui sopra. Dopo un’introduzione teorica in merito alla produzione di questo tipo di prodotto (procedure e trasformazioni utilizzabili, metodi di interpolazione dei pixel, qualità del DEM utilizzato), vengono presentati e commentati i risultati ottenuti, cercando di evidenziare le correlazioni fra gli stessi e le problematiche di diversa natura incontrate nella redazione di questo lavoro di tesi. Nel sesto ed ultimo capitolo sono contenute le conclusioni in merito al lavoro in questa sede presentato. Nell’appendice A vengono riportate le tabelle dei punti di controllo utilizzati in fase di orientamento esterno dei fotogrammi.

Fault detection in rotating machines by vibration signal processing techniques

Machines with moving parts give rise to vibrations and consequently noise. The setting up and the status of each machine yield to a peculiar vibration signature. Therefore, a change in the vibration signature, due to a change in the machine state, can be used to detect incipient defects before they become critical. This is the goal of condition monitoring, in which the informations obtained from a machine signature are used in order to detect faults at an early stage. There are a large number of signal processing techniques that can be used in order to extract interesting information from a measured vibration signal. This study seeks to detect rotating machine defects using a range of techniques including synchronous time averaging, Hilbert transform-based demodulation, continuous wavelet transform, Wigner-Ville distribution and spectral correlation density function. The detection and the diagnostic capability of these techniques are discussed and compared on the basis of experimental results concerning gear tooth faults, i.e. fatigue crack at the tooth root and tooth spalls of different sizes, as well as assembly faults in diesel engine. Moreover, the sensitivity to fault severity is assessed by the application of these signal processing techniques to gear tooth faults of different sizes.

A new snowfall detection algorithm for high latitude regions based on a combination of active and passive sensors

Precipitation retrieval over high latitudes, particularly snowfall retrieval over ice and snow, using satellite-based passive microwave spectrometers, is currently an unsolved problem. The challenge results from the large variability of microwave emissivity spectra for snow and ice surfaces, which can mimic, to some degree, the spectral characteristics of snowfall. This work focuses on the investigation of a new snowfall detection algorithm specific for high latitude regions, based on a combination of active and passive sensors able to discriminate between snowing and non snowing areas. The space-borne Cloud Profiling Radar (on CloudSat), the Advanced Microwave Sensor units A and B (on NOAA-16) and the infrared spectrometer MODIS (on AQUA) have been co-located for 365 days, from October 1st 2006 to September 30th, 2007. CloudSat products have been used as truth to calibrate and validate all the proposed algorithms. The methodological approach followed can be summarised into two different steps. In a first step, an empirical search for a threshold, aimed at discriminating the case of no snow, was performed, following Kongoli et al. [2003]. This single-channel approach has not produced appropriate results, a more statistically sound approach was attempted. Two different techniques, which allow to compute the probability above and below a Brightness Temperature (BT) threshold, have been used on the available data. The first technique is based upon a Logistic Distribution to represent the probability of Snow given the predictors. The second technique, defined Bayesian Multivariate Binary Predictor (BMBP), is a fully Bayesian technique not requiring any hypothesis on the shape of the probabilistic model (such as for instance the Logistic), which only requires the estimation of the BT thresholds. The results obtained show that both methods proposed are able to discriminate snowing and non snowing condition over the Polar regions with a probability of correct detection larger than 0.5, highlighting the importance of a multispectral approach.