Arboviral diseases in the Western Brazilian Amazon: a perspective and analysis from a tertiary health & research center in Manaus, State of Amazonas

The Fundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT-HVD), located in Manaus, the capital of the State of Amazonas (Western Brazilian Amazon), is a pioneering institution in this region regarding the syndromic surveillance of acute febrile illness, including arboviral infections. Based on the data from patients at the FMT-HVD, we have detected recurrent outbreaks in Manaus by the four dengue serotypes in the past 15 years, with increasing severity of the disease. This endemicity has culminated in the simultaneous circulation of all four serotypes in 2011, the first time this has been reported in Brazil. Between 1996 and 2009, 42 cases of yellow fever (YF) were registered in the State of Amazonas, and 71.4% (30/42) were fatal. Since 2010, no cases have been reported. Because the introduction of the yellow fever virus into a large city such as Manaus, which is widely infested by Aedes mosquitoes, may pose a real risk of a yellow fever outbreak, efforts to maintain an appropriate immunization policy for the populace are critical. Manaus has also suffered silent outbreaks of Mayaro and Oropouche fevers lately, most of which were misdiagnosed as dengue fever. The tropical conditions of the State of Amazonas favor the existence of other arboviruses capable of producing human disease. Under this real threat, represented by at least 4 arboviruses producing human infections in Manaus and in other neighboring countries, it is important to develop an efficient public health surveillance strategy, including laboratories that are able to make proper diagnoses of arboviruses.

Ground penetrating radar signal processing for landmine detection

Ground penetrating radar; landmine; background clutter removal, buried targets detecting

Improved cardiac gating and patient monitoring in high field magnetic resonance imaging by means of electrocardiogram signal processing

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2015

A Fast Gradient Approximation for Nonlinear Blind Signal Processing

When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis. In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum mutual information algorithm. Simulation results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased. On the other hand, cubic spline interpolation also obtains similar good results, but due to its intrinsic complexity, the global algorithm is much more slow and hence not useful for our purpose.

Statistical reference criteria for adaptive signal processing in digital communications

A general criterion for the design of adaptive systemsin digital communications called the statistical reference criterionis proposed. The criterion is based on imposition of the probabilitydensity function of the signal of interest at the outputof the adaptive system, with its application to the scenario ofhighly powerful interferers being the main focus of this paper.The knowledge of the pdf of the wanted signal is used as adiscriminator between signals so that interferers with differingdistributions are rejected by the algorithm. Its performance isstudied over a range of scenarios. Equations for gradient-basedcoefficient updates are derived, and the relationship with otherexisting algorithms like the minimum variance and the Wienercriterion are examined.

Organisaation innovatiivisuutta edistävät ja estävät tekijät. Case Technology Business Research Center

Tämän työn toimeksiantajaorganisaatio oli Lappeenrannan teknillisen yliopiston alainen, kauppatieteitä, teknologiaa ja tuotantotaloutta työssään yhdistävä tutkimusyksikkö, Technology Business Research Center, TBRC. Erään innovatiivisuustutkimusprojektin (InnoSpring) yhteydessä haluttiin selvittää myös oman tutkimusyksikön innovatiivisuuteen vaikuttavia, edistäviä ja estäviä tekijöitä. Tutkielman tavoitteena oli kartoittaa niitä seikkoja, jotka organisaation - tässä tapauksessa yliopiston tutkimusyksikön - henkilökunnan, projektityöntekijöiden, projektipäälliköiden sekä johdon mukaan vaikuttavat yksikön kykyyn luoda ja omaksua uutta, sen innovatiivisuuteen. Työ toteutettiin focus group-ryhmähaastattelumenetelmällä (kvalitatiivinen tutkimus), joihin osallistuivat omina ryhminään työntekijätaso, projektipäälliköt sekä johto.Haastattelut äänitettiin, litteroitiin ja koodattiin Atlas-Ti-ohjelmistolla. Loppuraportti verkostokuvineen luovutettiin tutkimuslaitokselle heinäkuussa 2005. Ryhmäkeskustelun teemoista ja kysymysten muodosta johtuen tulokset käsittelivät niin tutkimusyksikön nykyistä tilaa kuin eräänlaista "toivetilaa", millainen olisi ihanteellinen ja innovatiivinen työpaikka. Merkillepantavaa oli, että työssä tuli systemaattisesti esiin enemmän innovatiivisuutta edistäviä kuin ehkäiseviä seikkoja - vaikka osa edistävistä seikoista koskikin nimenomaan "toivetilaa". Keskustelluimpia teemoja olivat johtajuus,tavoitteellisuus ja strategian, yhteisen suunnan tarve. Samoin olemassa olevienprosessien kehittäminen, osaamisen (niin oman kuin koko organisaationkin) kokoaminen ja kehittäminen edelleen sekä tulosten jalkauttaminen.

A Vector Signal Processing Approach to Color

Surface (Lambertain) color is a useful visual cue for analyzing material composition of scenes. This thesis adopts a signal processing approach to color vision. It represents color images as fields of 3D vectors, from which we extract region and boundary information. The first problem we face is one of secondary imaging effects that makes image color different from surface color. We demonstrate a simple but effective polarization based technique that corrects for these effects. We then propose a systematic approach of scalarizing color, that allows us to augment classical image processing tools and concepts for multi-dimensional color signals.

Signal processing of microstructure profiles: integrating turbulent spatial scales in aquatic ecological modeling

The main objective of this thesis was the integration of microstructure information in synoptic descriptors of turbulence, that reflects the mixing processes. Turbulent patches are intermittent in space and time, but they represent the dominant process for mixing. In this work, the properties of turbulent patches were considered the potential input for integrating the physical microscale measurements. The development of a method for integrating the properties of the turbulent patches required solving three main questions: a) how can we detect the turbulent patches from he microstructure measurements?; b) which are the most relevant properties of the turbulent patches?; and ) once an interval of time has been selected, what kind of synoptic parameters could better reflect the occurrence and properties of the turbulent patches? The answers to these questions were the final specific objectives of this thesis.

Are distortion levels a problem with digital signal processing hearing aids and frequency modulation (FM) systems?

The purpose of this study was to examine objective and subjective distortion present when frequency modulation (FM) systems were coupled with four digital signal processing (DSP) hearing aids. Electroacoustic analysis and subjective listening tests by experienced audiologists revealed that distortion levels varied across hearing aids and channels.

Compensatory signal processing for profoundly hearing-impaired listeners: the transmission of fundamental frequency

This paper reviews a study to determine the usefulness of signal processing along with lipreading in improving speech perception of profoundly hearing impaired persons.