On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.

Dynamic Modelling of Material Flows and Sustainable Resource Use: Case Studies in Regional Metabolism and Space Life Support Systems

Sustainable resource use is one of the most important environmental issues of our times. It is closely related to discussions on the 'peaking' of various natural resources serving as energy sources, agricultural nutrients, or metals indispensable in high-technology applications. Although the peaking theory remains controversial, it is commonly recognized that a more sustainable use of resources would alleviate negative environmental impacts related to resource use. In this thesis, sustainable resource use is analysed from a practical standpoint, through several different case studies. Four of these case studies relate to resource metabolism in the Canton of Geneva in Switzerland: the aim was to model the evolution of chosen resource stocks and flows in the coming decades. The studied resources were copper (a bulk metal), phosphorus (a vital agricultural nutrient), and wood (a renewable resource). In addition, the case of lithium (a critical metal) was analysed briefly in a qualitative manner and in an electric mobility perspective. In addition to the Geneva case studies, this thesis includes a case study on the sustainability of space life support systems. Space life support systems are systems whose aim is to provide the crew of a spacecraft with the necessary metabolic consumables over the course of a mission. Sustainability was again analysed from a resource use perspective. In this case study, the functioning of two different types of life support systems, ARES and BIORAT, were evaluated and compared; these systems represent, respectively, physico-chemical and biological life support systems. Space life support systems could in fact be used as a kind of 'laboratory of sustainability' given that they represent closed and relatively simple systems compared to complex and open terrestrial systems such as the Canton of Geneva. The chosen analysis method used in the Geneva case studies was dynamic material flow analysis: dynamic material flow models were constructed for the resources copper, phosphorus, and wood. Besides a baseline scenario, various alternative scenarios (notably involving increased recycling) were also examined. In the case of space life support systems, the methodology of material flow analysis was also employed, but as the data available on the dynamic behaviour of the systems was insufficient, only static simulations could be performed. The results of the case studies in the Canton of Geneva show the following: were resource use to follow population growth, resource consumption would be multiplied by nearly 1.2 by 2030 and by 1.5 by 2080. A complete transition to electric mobility would be expected to only slightly (+5%) increase the copper consumption per capita while the lithium demand in cars would increase 350 fold. For example, phosphorus imports could be decreased by recycling sewage sludge or human urine; however, the health and environmental impacts of these options have yet to be studied. Increasing the wood production in the Canton would not significantly decrease the dependence on wood imports as the Canton's production represents only 5% of total consumption. In the comparison of space life support systems ARES and BIORAT, BIORAT outperforms ARES in resource use but not in energy use. However, as the systems are dimensioned very differently, it remains questionable whether they can be compared outright. In conclusion, the use of dynamic material flow analysis can provide useful information for policy makers and strategic decision-making; however, uncertainty in reference data greatly influences the precision of the results. Space life support systems constitute an extreme case of resource-using systems; nevertheless, it is not clear how their example could be of immediate use to terrestrial systems.

Studies on coordination of systems development process

This thesis examines coordination of systems development process in a contemporary software producing organization. The thesis consists of a series of empirical studies in which the actions, conceptions and artifacts of practitioners are analyzed using a theory-building case study research approach. The three phases of the thesis provide empirical observations on different aspects of systemsdevelopment. In the first phase is examined the role of architecture in coordination and cost estimation in multi-site environment. The second phase involves two studies on the evolving requirement understanding process and how to measure this process. The third phase summarizes the first two phases and concentrates on the role of methods and how practitioners work with them. All the phases provide evidence that current systems development method approaches are too naïve in looking at the complexity of the real world. In practice, development is influenced by opportunity and other contingent factors. The systems development processis not coordinated using phases and tasks defined in methods providing universal mechanism for managing this process like most of the method approaches assume.Instead, the studies suggest that managing systems development process happens through coordinating development activities using methods as tools. These studies contribute to the systems development methods by emphasizing the support of communication and collaboration between systems development participants. Methods should not describe the development activities and phases in a detail level, butshould include the higher level guidance for practitioners on how to act in different systems development environments.

Affinity distribution functions in multicomponent heterogeneous adsorption. Analytical inversion of isotherms to obtain affinity spectra

An analytical approach for the interpretation of multicomponent heterogeneous adsorption or complexation isotherms in terms of multidimensional affinity spectra is presented. Fourier transform, applied to analyze the corresponding integral equation, leads to an inversion formula which allows the computation of the multicomponent affinity spectrum underlying a given competitive isotherm. Although a different mathematical methodology is used, this procedure can be seen as the extension to multicomponent systems of the classical Sips’s work devoted to monocomponent systems. Furthermore, a methodology which yields analytical expressions for the main statistical properties (mean free energies of binding and covariance matrix) of multidimensional affinity spectra is reported. Thus, the level of binding correlation between the different components can be quantified. It has to be highlighted that the reported methodology does not require the knowledge of the affinity spectrum to calculate the means, variances, and covariance of the binding energies of the different components. Nonideal competitive consistent adsorption isotherm, widely used in metal/proton competitive complexation to environmental macromolecules, and Frumkin competitive isotherms are selected to illustrate the application of the reported results. Explicit analytical expressions for the affinity spectrum as well as for the matrix correlation are obtained for the NICCA case. © 2004 American Institute of Physics.

Interfacing Health Care Information Systems Design and Implementation

Terveydenhuollossa käytetään nykyisin informaatioteknologian (IT) mahdollisuuksia parantamaan hoidon laatua, vähentämään hoitoon liittyviä kuluja sekä yksinkertaistamaan ja selkeyttämään laakareiden työnkulkua. Tietojärjestelmät, jotka edustavat jokaisen IT-ratkaisun ydintä, täytyy kehittää täyttämään lukuisia vaatimuksia, ja yksi niistä on kyky integroitua saumattomasti toisten tietojärjestelmien kanssa. Järjestelmäintegraatio on kuitenkin yhä haastava tehtävä, vaikka sita varten on kehitetty useita standardeja. Tässä työssä kuvataan vastakehitetyn lääketieteellisen tietojärjestelmän liittymäratkaisu. Työssä pohditaan vaatimuksia, jotka tällaiselle sovellukselle asetetaan, ja myös tapa, jolla vaatimukset toteutuvat on esitetty. Liittymaratkaisu on jaettu kahteen osaan, tietojärjestelmaliittymään ja "liittymakoneeseen" (interfacing engine). Edellinen on käsittää perustoiminnallisuuden, jota tarvitaan vastaanottamaan ja lähettämään tietoa toisiin järjestelmiin, kun taas jälkimmäinen tarjoaa tuen tuotantoympäristössa käytettäville standardeille. Molempien osien suunnitelu on esitelty perusteellisesti tässä työssä. Ongelma ratkaistiin modulaarisen ja geneerisen suunnittelun avulla. Tämä lähestymistapa osoitetaan työssä kestäväksi ja joustavaksi ratkaisuksi, jota voidaan käyttää tarkastelemaan laajaa valikoimaa liittymäratkaisulle asetettuja vaatimuksia. Lisaksi osoitetaan kuinka tehty ratkaisu voidaan joustavuutensa ansiosta helposti mukauttaa vaatimuksiin, joita ei ole etukäteen tunnistettu, ja siten saavutetaan perusta myös tulevaisuuden tarpeille

ICA Cleaning procedure for EEG signals analysis: application to Alzheimer's disease detection

To develop systems in order to detect Alzheimer’s disease we want to use EEG signals. Available database is raw, so the first step must be to clean signals properly. We propose a new way of ICA cleaning on a database recorded from patients with Alzheimer's disease (mildAD, early stage). Two researchers visually inspected all the signals (EEG channels), and each recording's least corrupted (artefact-clean) continuous 20 sec interval were chosen for the analysis. Each trial was then decomposed using ICA. Sources were ordered using a kurtosis measure, and the researchers cleared up to seven sources per trial corresponding to artefacts (eye movements, EMG corruption, EKG, etc), using three criteria: (i) Isolated source on the scalp (only a few electrodes contribute to the source), (ii) Abnormal wave shape (drifts, eye blinks, sharp waves, etc.), (iii) Source of abnormally high amplitude ( �100 �V). We then evaluated the outcome of this cleaning by means of the classification of patients using multilayer perceptron neural networks. Results are very satisfactory and performance is increased from 50.9% to 73.1% correctly classified data using ICA cleaning procedure.

Yhteistoiminnan ja tiedon jakamisen kehittäminen

Tässä tutkimustyössä on tavoitteena tutkia UPM-Kymmene Wood Oy:n vaneriliiketoimintaorganisaation lähtölogistiikka- ja myyntiosaston tiedon jakamisen ja yhteistoiminnan nykytilaa ja kartoittaa osastojen tiedontarpeita yhteistoimintaan liittyen. Työn tavoitteena on tämän jälkeen antaa kohdeosastoille ehdotuksia toimenpiteistä ja teknologisista ratkaisuista toiminnan parantamiseen. Työssä esitetään aluksi tietoon ja sen jakamiseen liittyviä käsitteitä. Tämän jälkeen tekstissä luodaan katsaus liiketoimintatietoon ja sen hallintaan. Lisäksi tutkimuksessa tarkastellaan tutkimuksen kohteena olevaa organisaatiota ja kohdeosastoja. Haastatteluiden ja havainnoinnin avulla kerätyn tutkimusaineiston perusteella kohdeosastojen välillä vaihdetaan nykytilassa paljon erilaista asiakkaisiin ja markkinoihin liittyvää tietoa. Tiedon jakaminen ja vaihto perustuu kuitenkin nykytilassa hyvin vahvasti säännöllisen yhteistoiminnan sijaan erillisesti ilmaistuihin tietotarpeisiin. Haastatteluiden perusteella kohdeosastoissa on havaittavissa myös parannustarpeita nykyiseen tiedonkulkuun ja tiedon jakamiseen verrattuna. Annetut kehitysehdotukset koskevat yhteistoiminnan muuntamista säännölliseksi ja keskustelevaksi, olemassa olevien tietojen tehokkaammasta jakamisesta ja nykyisten tietohallintajärjestelmien hyödyntämisestä yhteistoiminnassa uusien järjestelmien luomisen sijaan.

Multifactor Performance Study on Complex Systems for the Benefit of Management

The primary objective is to identify the critical factors that have a natural impact on the performance measurement system. It is important to make correct decisions related to measurement systems, which are based on the complex business environment. The performance measurement system is combined with a very complex non-linear factor. The Six Sigma methodology is seen as one potential approach at every organisational level. It will be linked to the performance and financial measurement as well as to the analytical thinking on which the viewpoint of management depends. The complex systems are connected to the customer relationship study. As the primary throughput can be seen in a new well-defined performance measurement structure that will also be facilitated as will an analytical multifactor system. These critical factors should also be seen as a business innovation opportunity at the same time. This master's thesis has been divided into two different theoretical parts. The empirical part consists of both action-oriented and constructive research approaches with an empirical case study. The secondary objective is to seek a competitive advantage factor with a new analytical tool and the Six Sigma thinking. Process and product capabilities will be linked to the contribution of complex system. These critical barriers will be identified by the performance measuring system. The secondary throughput can be recognised as the product and the process cost efficiencies which throughputs are achieved with an advantage of management. The performance measurement potential is related to the different productivity analysis. Productivity can be seen as one essential part of the competitive advantage factor.

Cromatografia unificada

The scope of this study encompasses an overview of the principles of unified chromatography as well as the principles of chromatographic techniques as applied to unified systems, which include gas chromatography, liquid chromatography, supercritical fluid chromatography, high temperature and high pressure liquid chromatography, micro-liquid chromatography, enhanced fluidity chromatography, and solvating gas chromatography. Theoretical considerations and individual instrumental parameters such as mobile phase, sample introduction system, columns, and detection system are also discussed. Future applications of this separation approach are discussed.

Interações hiperfinas em catalisadores metálicos

Heterogeneous catalysts are of fundamental importance in several modern chemical processes. The characterization of catalysts is an issue of very present interest as it can provide a better understanding of the fundamental aspects of the catalytic phenomena, thus helping in the development of more efficient catalysts. In order to extend and improve the characterization of catalysts, new and less conventional methods are being applied, such as nuclear spectroscopies. In this paper we focus on the application of angular correlation, with can be used to resolve different local environments of probe atoms in solids and can be applied, as shown here, in the characterization of heterogeneous catalysts. A brief theoretical introduction is given and experimental results related to catalytic systems of alumina and niobia-supported Pt-In and Pd-In catalysts are presented.

Informed recommender: basing recommendations on consumer product reviews

Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology

A importância do observatório de atividades industriais vis-à-vis tendências em ciência, tecnologia e inovação

Given that innovation is fundamental for competitiveness, and that it is intrinsically linked to knowledge, it has become essential to foster effective interaction between the Brazilian productive sector and universities and R&D centers. This interface should be created by means of the model used in developed countries: Observatory of Industrial Activities and Trends in Science, Technology and Innovation. The present work describes its main functions, using examples of activities undertaken by the Chemical Industry Information System of the Federal University of Rio de Janeiro related to production systems of primary and high-tech industries, examining the diffusion of knowledge to decision-makers.

Interferentes endócrinos no ambiente

Although the hypothesis that environmental chemicals may exhibit endocrine disrupting effects is not new, the issue has been a growing level of concern due to reports of increased incidences of endocrine-related disease in humans, including declining male fertility, and more significantly, to adverse physiological effects observed in wildlife where cause and effect relationships are more evident. The list of endocrine disrupting chemicals (EDCs) includes a range of anthropogenic compounds, phytoestrogens, naturally occurring sex steroids and synthetic estrogens. Within the aquatic environment, the presence of EDCs has concerned many scientists and water quality regulators. Discharge of effluents from treatment facilities is likely to be a significant source of input of contaminants to many systems, and the potential for concentration of hydrophilic compounds and transformation products within sludges has implications for their disposal. Then, understanding the processes and the fate of EDCs on the environment, as well as the mechanisms of endocrine disruption, may facilitate controlling or limiting exposure of both humans and the environment to these compounds.

Cristais líquidos colestéricos: a quiralidade revela as suas cores

Chirality deeply impacts the macroscopic properties on all scales of the universe from elemental particles through biological structures up to astronomic systems. Specifically, chiral liquid crystals give rise to self-organized macrostructures with unparalleled properties. Here we present easy experiments with a special class of chiral liquid crystals that show temperature-induced selective reflection of light (thermochromic effect). Understanding this thermochromic effect allows undergraduate students better realize important properties of super and supramolecular systems.

Nanocompósitos magnéticos: potencialidades de aplicações em Biomedicina

The synthesis of magnetic materials such as nanostructured iron oxide has been intensively researched due to their broad applications in biomedicine. As these nanoparticles have high specific surface area, they are very reactive and can aggregate easily, and biodegrade when exposed to biological systems. Mesoporous silica is often employed as support matrix to protect the magnetic functional component, avoiding undesirable effects. In this context, this review describes various syntheses of silica-coated iron oxide nanoparticles, and their use in applications such as bioseparation, magnetic resonance imaging, hyperthermia and drug delivery systems showing the growing interest of these materials in biological area.