Affective state and voice : cross-cultural assessment of speaking behavior and voice sound characteristics : a normative multicenter study of 577 + 36 healthy subjects

BACKGROUND: Human speech is greatly influenced by the speakers' affective state, such as sadness, happiness, grief, guilt, fear, anger, aggression, faintheartedness, shame, sexual arousal, love, amongst others. Attentive listeners discover a lot about the affective state of their dialog partners with no great effort, and without having to talk about it explicitly during a conversation or on the phone. On the other hand, speech dysfunctions, such as slow, delayed or monotonous speech, are prominent features of affective disorders. METHODS: This project was comprised of four studies with healthy volunteers from Bristol (English: n = 117), Lausanne (French: n = 128), Zurich (German: n = 208), and Valencia (Spanish: n = 124). All samples were stratified according to gender, age, and education. The specific study design with different types of spoken text along with repeated assessments at 14-day intervals allowed us to estimate the 'natural' variation of speech parameters over time, and to analyze the sensitivity of speech parameters with respect to form and content of spoken text. Additionally, our project included a longitudinal self-assessment study with university students from Zurich (n = 18) and unemployed adults from Valencia (n = 18) in order to test the feasibility of the speech analysis method in home environments. RESULTS: The normative data showed that speaking behavior and voice sound characteristics can be quantified in a reproducible and language-independent way. The high resolution of the method was verified by a computerized assignment of speech parameter patterns to languages at a success rate of 90%, while the correct assignment to texts was 70%. In the longitudinal self-assessment study we calculated individual 'baselines' for each test person along with deviations thereof. The significance of such deviations was assessed through the normative reference data. CONCLUSIONS: Our data provided gender-, age-, and language-specific thresholds that allow one to reliably distinguish between 'natural fluctuations' and 'significant changes'. The longitudinal self-assessment study with repeated assessments at 1-day intervals over 14 days demonstrated the feasibility and efficiency of the speech analysis method in home environments, thus clearing the way to a broader range of applications in psychiatry. © 2014 S. Karger AG, Basel.

Investigation of Warm-Mix Asphalt for Iowa Roadways, TR-635, 2013

Phase II of this study further evaluated the performance of plant-produced warm-mix asphalt (WMA) mixes by conducting additional mixture performance tests at a broader range of temperatures, adding additional pavements to the study, comparing virgin and recovered binder properties, performing pavement condition surveys, and comparing survey data with the Mechanistic Empirical Pavement Design Guide (MEPDG) forecast for pavement damage over 20 years of service life. Further objectives detailing curing behavior, quality assurance testing, and hybrid technologies were as follows: * Compare the predicted and observed field performance of existing WMA trials produced in the previous Phase I study to that of hot-mix asphalt (HMA) control sections to determine if Phase I conclusions are translating to the field; * Identify any curing effect (and timing of the effect) of WMA mixtures and binders in the field; * Determine how the field-compacted mixture properties and recovered binder properties of WMA compare to those of HMA over time for technologies common to Iowa; * Identify the protocols for WMA sample preparation for volumetric and performance testing that best simulate field conditions. The findings of this study indicate that WMA additives do show statistical differences in mixture properties in some of the mixes tested. These differences will not always be statistically different from mixture to mixture. Multiple factors, such as WMA additive type, amount of recycled asphalt material, construction conditions, and mixture variability all play a role in determining the extent of which WMA and HMA mixes differ. Other significant findings of this study include effects of curing, aging in recovered binders from HMA and WMA cores, and the influence of recycled asphalt shingles (RAS) used with WMA. These findings will be of interest to owner agencies and contractors utilizing WMA technologies.

Instrumentation and Monitoring of Precast Bridge Approach Tied to an Integral Abutment Bridge in Bremer County, SPR 0000-005, 2010

Approach slab pavement at integral abutment (I-A) bridges are prone to settlement and cracking, which has been long recognized by the Iowa Department of Transportation (DOT). A commonly recommended solution is to integrally attach the approach slab to the bridge abutment. This study sought to supplement a previous project by instrumenting, monitoring, and analyzing the behavior of an approach slab tied to a integral abutment bridge. The primary objective of this investigation was to evaluate the performance of the approach slab. To satisfy the research needs, the project scope involved reviewing a similar previous study, implementing a health monitoring system on the approach slab, interpreting the data obtained during the evaluation, and conducting periodic visual inspections of the bridge and approach slab. Based on the information obtained from the testing, the following general conclusions were made: the integral connection between the approach slab and the bridge appears to function well with no observed distress at this location and no relative longitudinal movement measured between the two components; the measured strains in the approach slabs indicate a force exists at the expansion joint and should be taken into consideration when designing both the approach slab and the bridge and the observed responses generally followed an annual cyclic and/or short term cyclic pattern over time; the expansion joint at one side of the approach slab does not appear to be functioning as well as elsewhere; much larger frictional forces were observed in this study compared to the previous study.

Oxygen consumption of Litopenaeus vannamei juveniles in heterotrophic medium with zero water exchange

This work aimed at determining the dissolved oxygen consumption rate of Litopenaeus vannamei juveniles maintained in a microbial biofloc raceway system at high density with no aeration. Three 4 L bottles were filled for each treatment, sealed hermetically, and placed in an enclosed greenhouse raceway system. Four shrimp (13.2±1.42 g) were assigned to two sets of the bottles, which underwent the following treatments: light conditions with no shrimp; dark conditions with no shrimp; light conditions with shrimp; and dark conditions with shrimp. Dissolved oxygen content was measured every 10 min for 30 min. A quadratic behavior was observed in dissolved oxygen concentration over time. Significant differences for oxigen consumption were observed only at 10 and 20 min between shrimp maintained in the dark and those under light conditions. At 10 min, a higher value was observed in shrimp maintained under light, and at 20 min, in the dark. Significant differences between 10 and 20 min and between 10 and 30 min were observed when oxygen consumption was analyzed over time in the presence of light. Under dark conditions there were significant differences only between 20 and 30 min. Lethal oxygen concentration (0.65 mg L-1) would be reached in less than one hour either under light or dark conditions with no aeration.

Family interactions in IVF families: change over the transition to parenthood

Objective: This article presents a study of the change over time in the family interactions of couples who conceived through in-vitro fertilisation (IVF). Background: Observational methods are rarely used to study family interactions in families who used assisted reproductive techniques, but these methods are crucial for taking account of the communication that occurs in interactions with infants. Methods: Thirty-one couples expecting their first child were seen during the fifth month of pregnancy and when the child was nine months old. Family interactions were recorded in pre- and postnatal versions of the Lausanne Trilogue Play situation. Measures of marital satisfaction and parent-to-foetus/baby attachment or 'bonding' were also used to assess family relational dynamics. Results: Results showed that family alliance, marital satisfaction and parental attachment scores in the IVF sample were all similar to or higher than those in the reference sample during pregnancy. However, at nine months postnatally, the family alliance scores were lower. While marital satisfaction decreased over the period and parent-baby attachment increased, the family alliance scores were unstable, as no association was observed between the pre- and postnatal scores. In addition, neither prenatal marital satisfaction nor parent-foetus attachment predicted the postnatal family alliance. Conclusion: The change in the family alliance over the transition to parenthood appears to be specific to our IVF sample. Given that postnatal family functioning could not be predicted by prenatal family functioning, our observational data underline the importance of offering postnatal support to these families.

Ecological change predicts population dynamics and genetic diversity over 120 000 years.

While ecological effects on short-term population dynamics are well understood, their effects over millennia are difficult to demonstrate and convincing evidence is scant. Using coalescent methods, we analysed past population dynamics of three lizard species (Psammodromus hispanicus, P. edwardsianus, P. occidentalis) and linked the results with climate change data covering the same temporal horizon (120 000 years). An increase in population size over time was observed in two species, and in P. occidentalis, no change was observed. Temporal changes in temperature seasonality and the maximum temperature of the warmest month were congruent with changes in population dynamics observed for the three species and both variables affected population density, either directly or indirectly (via a life-history trait). These results constitute the first solid link between ecological change and long-term population dynamics. The results moreover suggest that ecological change leaves genetic signatures that can be retrospectively traced, providing evidence that ecological change is a crucial driver of genetic diversity and speciation.

Detectings low introgression of invasive alleles in an extensively restocked game bird

Interbreeding of two species in the wild implies introgression of alleles from one species into the other only when admixed individuals survive and successfully backcross with the parental species. Consequently, estimating the proportion of first generation hybrids in a population may not inform about the evolutionary impact of hybridization. Samples obtained over a long time span may offer a more accurate view of the spreading of introgressed alleles in a species" gene pool. Common quail (Coturnix coturnix) populations in Europe have been restocked extensively with farm quails of hybrid origin (crosses with Japanese quails, C. japonica). We genetically monitored a common quail population over 15 years to investigate whether genetic introgression is occurring and used simulations to investigate our power to detect it. Our results revealed that some introgression has occurred, but we did not observe a significant increase over time in the proportion of admixed individuals. However, simulations showed that the degree of admixture may be larger than anticipated due to the limited power of analyses over a short time span, and that observed data was compatible with a low rate of introgression, probably resulting from reduced fitness of admixed individuals. Simulations predicted this could result in extensive admixture in the near future.

Tracking of physical activity during adolescence: The 1993 Pelotas Birth Cohort, Brazil

Objective: To analyze physical activity during adolescence in participants of the 1993 Pelotas Birth Cohort Study, Brazil. Methods: Data on leisure time physical activity at 11, 15, and 18 years of age were analyzed. At each visit, a cut-off point of 300 min/week was used to classify adolescents as active or inactive. A total of 3,736 participants provided data on physical activity at each of the three age points. Results: A significant decline in the proportion of active adolescents was observed from 11 to 18 years of age, particularly among girls (from 32.9% to 21.7%). The proportions of girls and boys who were active at all three age points were 28.0% and 55.1%, respectively. After adjustment for sex, economic status, and skin color, participants who were active at 11 and 15 years of age were 58.0% more likely to be active at 18 years of age compared with those who were inactive at 11 and 15 years of age. Conclusions: Physical activity declined during adolescence and inactivity tended to track over time. Our findings reinforce the need to promote physical activity at early stages of life, because active behavior established early tends to be maintained over time.

Regime Switching Models for Electricity Time Series that Capture Fat Tailed Distributions

In the power market, electricity prices play an important role at the economic level. The behavior of a price trend usually known as a structural break may change over time in terms of its mean value, its volatility, or it may change for a period of time before reverting back to its original behavior or switching to another style of behavior, and the latter is typically termed a regime shift or regime switch. Our task in this thesis is to develop an electricity price time series model that captures fat tailed distributions which can explain this behavior and analyze it for better understanding. For NordPool data used, the obtained Markov Regime-Switching model operates on two regimes: regular and non-regular. Three criteria have been considered price difference criterion, capacity/flow difference criterion and spikes in Finland criterion. The suitability of GARCH modeling to simulate multi-regime modeling is also studied.

Creative brand launch in phamaceutical over-the-counter markets – case Burana

The purpose of this study is to examine how a launch of a pharmaceutical over-the-counter sold (OTC) brand can be done by using creative solutions and thus affecting the product life cycle. The study is inspired by a phenomenon called Burana. The Burana brand has been a market leader of OTC painkillers in Finland for the past 27 years. The aim of this study is to “solve the mystery” behind Burana brand’s success by focusing on the launch phase of Burana as an OTC medicine. Farmos Group Ltd (the owner of the brand in 1980´s) had not originally invented the product in question – ibuprofen – and the product had already reached it´s maturity phase, if not even decline from the product life cycle aspect when this phenomenon takes place. This has made the marketing choices, the product launch phase as well as the product management even more interesting from the company point of view as well as from a learning point of view. The methodology in this study is qualitative with a descriptive research strategy, while the study is conducted as a longitudinal single-case study. The methods used in this study have been collecting, analyzing and interpreting the data, which is based on the interviewees’ comments and observed behavior. According to the study, the successful launch phase helped in setting the product one step ahead of the competitors and thus aided the brand leadership and prolonged the product life cycle. Another notable aspect that became clear from the interviews and the documentary of Burana´s launch phase was the innovative idea of involving the people of the distribution chain into the product launch through education. As this study has pointed out, it is not enough to for a company to build an innovative team of employees, but also to offer them an involved and encouraging management. According to the interviews, the support from the company management gave the marketing team the encouragement to be innovative. It can be thus stated that the management of a company has an essential role in fostering the creativity within the company.

La fécondité des immigrantes africaines au Québec de 1986 à 2010

Le Canada à l’instar de plusieurs autres pays occidentaux fait face à une baisse importante du taux de natalité et à un vieillissement de sa population. La solution de l’immigration semble être retenue par ce pays pour combler le déficit en main d’œuvre afin d’éviter un ralentissement de la croissance économique. Nous nous intéressons dans cette étude aux immigrantes africaines accueillies par la province du Québec et cherchons à évaluer leur contribution à la fécondité. Pour ce faire, les données du fichier des naissances de l’Institut de la statistique du Québec et du recensement du Canada de 2006 ont été utilisées. Pour effectuer l’analyse, nous avons premièrement mesuré (avec les fichiers du registre des naissances) l’évolution dans le temps de la contribution des immigrantes africaines à la natalité au Québec. Et deuxièmement, nous avons évalué la relation entre la région d’origine des femmes et la variable "ayant un enfant de moins d’un an" (récente maternité). Nous avons procédé à une analyse descriptive, et également à une analyse multivariée en utilisant un modèle logistique, et en considérant des facteurs sociodémographiques. Nos résultats montrent que les immigrantes africaines affichent un niveau de fécondité plus élevé par rapport à celui des natives et des autres immigrantes. Nous avons constaté que la contribution à la natalité et à la fécondité au Québec des immigrantes venant de l’Afrique Nord était plus importante que celles des autres immigrantes africaines. En outre, les résultats du modèle logistique montrent que les femmes immigrantes africaines de la première génération sont plus susceptibles d’avoir un enfant que les natives du Québec. Nous avons aussi remarqué un effet de la durée de séjour sur la fécondité des immigrantes africaines. Les résultats montrent que les immigrantes de la deuxième génération ont un niveau de fécondité proche des natives du Québec. Nous avons enfin trouvé que la fécondité des immigrantes africaines arrivées très jeunes au Québec est inférieure ou diffère peu de celle des natives du Québec.

Modélisation des émotions de l’apprenant et interventions implicites pour les systèmes tutoriels intelligents

La modélisation de l’expérience de l’utilisateur dans les Interactions Homme-Machine est un enjeu important pour la conception et le développement des systèmes adaptatifs intelligents. Dans ce contexte, une attention particulière est portée sur les réactions émotionnelles de l’utilisateur, car elles ont une influence capitale sur ses aptitudes cognitives, comme la perception et la prise de décision. La modélisation des émotions est particulièrement pertinente pour les Systèmes Tutoriels Émotionnellement Intelligents (STEI). Ces systèmes cherchent à identifier les émotions de l’apprenant lors des sessions d’apprentissage, et à optimiser son expérience d’interaction en recourant à diverses stratégies d’interventions. Cette thèse vise à améliorer les méthodes de modélisation des émotions et les stratégies émotionnelles utilisées actuellement par les STEI pour agir sur les émotions de l’apprenant. Plus précisément, notre premier objectif a été de proposer une nouvelle méthode pour détecter l’état émotionnel de l’apprenant, en utilisant différentes sources d’informations qui permettent de mesurer les émotions de façon précise, tout en tenant compte des variables individuelles qui peuvent avoir un impact sur la manifestation des émotions. Pour ce faire, nous avons développé une approche multimodale combinant plusieurs mesures physiologiques (activité cérébrale, réactions galvaniques et rythme cardiaque) avec des variables individuelles, pour détecter une émotion très fréquemment observée lors des sessions d’apprentissage, à savoir l’incertitude. Dans un premier lieu, nous avons identifié les indicateurs physiologiques clés qui sont associés à cet état, ainsi que les caractéristiques individuelles qui contribuent à sa manifestation. Puis, nous avons développé des modèles prédictifs permettant de détecter automatiquement cet état à partir des différentes variables analysées, à travers l’entrainement d’algorithmes d’apprentissage machine. Notre deuxième objectif a été de proposer une approche unifiée pour reconnaître simultanément une combinaison de plusieurs émotions, et évaluer explicitement l’impact de ces émotions sur l’expérience d’interaction de l’apprenant. Pour cela, nous avons développé une plateforme hiérarchique, probabiliste et dynamique permettant de suivre les changements émotionnels de l'apprenant au fil du temps, et d’inférer automatiquement la tendance générale qui caractérise son expérience d’interaction à savoir : l’immersion, le blocage ou le décrochage. L’immersion correspond à une expérience optimale : un état dans lequel l'apprenant est complètement concentré et impliqué dans l’activité d’apprentissage. L’état de blocage correspond à une tendance d’interaction non optimale où l'apprenant a de la difficulté à se concentrer. Finalement, le décrochage correspond à un état extrêmement défavorable où l’apprenant n’est plus du tout impliqué dans l’activité d’apprentissage. La plateforme proposée intègre trois modalités de variables diagnostiques permettant d’évaluer l’expérience de l’apprenant à savoir : des variables physiologiques, des variables comportementales, et des mesures de performance, en combinaison avec des variables prédictives qui représentent le contexte courant de l’interaction et les caractéristiques personnelles de l'apprenant. Une étude a été réalisée pour valider notre approche à travers un protocole expérimental permettant de provoquer délibérément les trois tendances ciblées durant l’interaction des apprenants avec différents environnements d’apprentissage. Enfin, notre troisième objectif a été de proposer de nouvelles stratégies pour influencer positivement l’état émotionnel de l’apprenant, sans interrompre la dynamique de la session d’apprentissage. Nous avons à cette fin introduit le concept de stratégies émotionnelles implicites : une nouvelle approche pour agir subtilement sur les émotions de l’apprenant, dans le but d’améliorer son expérience d’apprentissage. Ces stratégies utilisent la perception subliminale, et plus précisément une technique connue sous le nom d’amorçage affectif. Cette technique permet de solliciter inconsciemment les émotions de l’apprenant, à travers la projection d’amorces comportant certaines connotations affectives. Nous avons mis en œuvre une stratégie émotionnelle implicite utilisant une forme particulière d’amorçage affectif à savoir : le conditionnement évaluatif, qui est destiné à améliorer de façon inconsciente l’estime de soi. Une étude expérimentale a été réalisée afin d’évaluer l’impact de cette stratégie sur les réactions émotionnelles et les performances des apprenants.

Changements démographiques et inégalités éducatives à Ouagadougou

Depuis plusieurs décennies, des études empiriques réalisées sur plusieurs pays développés ou en émergence ont montré que la baisse de la taille de la famille favorise l’investissement dans l’éducation des enfants, expliquant qu’un nombre élevé d’enfants a un effet d’amenuisement des ressources familiales. Les retombées positives de la baisse de la fécondité sur l’éducation sont largement étudiées et connues. En dépit des résultats controversés des premières études portant sur les pays de l’Afrique de l’Ouest, les récentes études empiriques tendent à confirmer l’effet positif de la baisse de la taille de la famille dans le contexte africain, du moins en milieu urbain. Par contre, jusqu’à présent, très peu d’études semblent intéressées à analyser la répartition de ces retombées entre les enfants, et encore moins à comprendre comment ces dernières affecteraient la structure des inégalités éducatives existantes. Notre étude s’intéresse à explorer la potentielle dimension démographique des inégalités socioéconomiques, notamment les inégalités éducatives dans le contexte de la baisse de la fécondité. Elle vise à apporter des évidences empiriques sur le lien entre la réduction de la taille de la famille et les inégalités éducatives au sein des ménages dans le contexte d’Ouagadougou, Capitale du Burkina Faso, qui connait depuis quelques décennies la chute de la fécondité. Elle analyse aussi l’effet de cette réduction sur la transmission intergénérationnelle des désavantages éducatifs. Pour ce faire, nous proposons un cadre conceptuel pour comprendre les mécanismes par lesquels la relation entre la réduction de la taille de la famille et les inégalités éducatives se tisse. Ce cadre conceptuel s’appuie sur une recension des écrits de divers auteurs à ce sujet. Par la suite, nous procédons à des analyses empiriques permettant de tester ces liens en utilisant les données du projet Demtrend collectées. Les résultats empiriques sont présentés sous forme d’articles scientifiques. Les conclusions du premier article indiquent que la relation entre le nombre d’enfants de la famille et l’éducation varie selon le contexte socioéconomique. En effet, pour les générations qui ont grandi dans un contexte socioéconomique colonial et postcolonial, où le mode de production était essentiellement agricole et l’éducation formelle n’était pas encore valorisée sur le marché du travail, la relation est très faible et positive. Par contre, pour les récentes générations, nous avons observé que la relation devient négative et fortement significative. De plus, les résultats de cet article suggèrent aussi que la famille d’origine des femmes a une incidence significative sur leur comportement de fécondité. Les femmes dont la mère avait un niveau de scolarité élevé (et étaient de statut socioéconomique aisé) ont moins d’enfants comparativement à celles dont leurs parents avaient un faible niveau de scolarité (et pauvres). En retour, leurs enfants sont aussi les plus éduqués. Ce qui sous-tend à un éventuel effet de levier de la réduction de la taille de la famille dans le processus de transmission intergénérationnelle des désavantages éducatifs. Le second article fait une comparaison entre les ménages de grande taille et ceux de petite taille en matière d’inégalités éducatives entre les enfants au sein des ménages familiaux, en considérant le sexe, l’ordre de naissance et les termes d’interaction entre ces deux variables. Les résultats de cet article montrent que généralement les enfants des familles de petite taille sont plus scolarisés et atteignent un niveau d’éducation plus élevé que ceux des grandes familles. Toutefois, les filles ainées des petites familles s’avèrent moins éduquées que leurs pairs. Ce déficit persiste après avoir considéré seulement les ménages familiaux monogames ou encore après le contrôle de la composition de la fratrie. L’émancipation des femmes sur le marché du travail résultant de la réduction de la taille de la famille et la faible contribution des pères dans les activités domestiques expliqueraient en partie cette situation. Malheureusement, nous n’avons pas pu contrôler l’activité économique des mères dans les analyses. Finalement, dans le cadre du troisième et dernier article, nous avons examiné l’effet d’avoir été confié par le passé sur les inégalités éducatives au sein de la fratrie, en comparant ceux qui ont été confiés aux autres membres de leur fratrie qui n’ont jamais été confiés. Dans cet article, nous avons considéré l’aspect hétérogène du confiage en le différenciant selon le sexe, la relation de la mère avec le chef du ménage d’accueil et l’âge auquel l’enfant a été confié. Les résultats montrent qu’avoir été confié dans le passé influence négativement le parcours scolaire des enfants. Cependant, cet effet négatif reste fort et significatif que pour les filles qui ont été confiées après leurs 10 ans d’âge. Un profil qui correspond à la demande de main-d’œuvre en milieu urbain pour l’accomplissement des tâches domestiques, surtout dans le contexte de la baisse de la taille de la famille et l’émancipation des femmes sur le marché du travail.

Study on period search methods of variable stars: Application to ASAS and CRTS databases

Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes. The huge amount of data need lot of automated methods as well as human experts. This thesis is devoted to the data analysis on variable star’s astronomical time series data and hence belong to the inter-disciplinary topic, Astrostatistics. For an observer on earth, stars that have a change in apparent brightness over time are called variable stars. The variation in brightness may be regular (periodic), quasi periodic (semi-periodic) or irregular manner (aperiodic) and are caused by various reasons. In some cases, the variation is due to some internal thermo-nuclear processes, which are generally known as intrinsic vari- ables and in some other cases, it is due to some external processes, like eclipse or rotation, which are known as extrinsic variables. Intrinsic variables can be further grouped into pulsating variables, eruptive variables and flare stars. Extrinsic variables are grouped into eclipsing binary stars and chromospheri- cal stars. Pulsating variables can again classified into Cepheid, RR Lyrae, RV Tauri, Delta Scuti, Mira etc. The eruptive or cataclysmic variables are novae, supernovae, etc., which rarely occurs and are not periodic phenomena. Most of the other variations are periodic in nature. Variable stars can be observed through many ways such as photometry, spectrophotometry and spectroscopy. The sequence of photometric observa- xiv tions on variable stars produces time series data, which contains time, magni- tude and error. The plot between variable star’s apparent magnitude and time are known as light curve. If the time series data is folded on a period, the plot between apparent magnitude and phase is known as phased light curve. The unique shape of phased light curve is a characteristic of each type of variable star. One way to identify the type of variable star and to classify them is by visually looking at the phased light curve by an expert. For last several years, automated algorithms are used to classify a group of variable stars, with the help of computers. Research on variable stars can be divided into different stages like observa- tion, data reduction, data analysis, modeling and classification. The modeling on variable stars helps to determine the short-term and long-term behaviour and to construct theoretical models (for eg:- Wilson-Devinney model for eclips- ing binaries) and to derive stellar properties like mass, radius, luminosity, tem- perature, internal and external structure, chemical composition and evolution. The classification requires the determination of the basic parameters like pe- riod, amplitude and phase and also some other derived parameters. Out of these, period is the most important parameter since the wrong periods can lead to sparse light curves and misleading information. Time series analysis is a method of applying mathematical and statistical tests to data, to quantify the variation, understand the nature of time-varying phenomena, to gain physical understanding of the system and to predict future behavior of the system. Astronomical time series usually suffer from unevenly spaced time instants, varying error conditions and possibility of big gaps. This is due to daily varying daylight and the weather conditions for ground based observations and observations from space may suffer from the impact of cosmic ray particles. Many large scale astronomical surveys such as MACHO, OGLE, EROS, xv ROTSE, PLANET, Hipparcos, MISAO, NSVS, ASAS, Pan-STARRS, Ke- pler,ESA, Gaia, LSST, CRTS provide variable star’s time series data, even though their primary intention is not variable star observation. Center for Astrostatistics, Pennsylvania State University is established to help the astro- nomical community with the aid of statistical tools for harvesting and analysing archival data. Most of these surveys releases the data to the public for further analysis. There exist many period search algorithms through astronomical time se- ries analysis, which can be classified into parametric (assume some underlying distribution for data) and non-parametric (do not assume any statistical model like Gaussian etc.,) methods. Many of the parametric methods are based on variations of discrete Fourier transforms like Generalised Lomb-Scargle peri- odogram (GLSP) by Zechmeister(2009), Significant Spectrum (SigSpec) by Reegen(2007) etc. Non-parametric methods include Phase Dispersion Minimi- sation (PDM) by Stellingwerf(1978) and Cubic spline method by Akerlof(1994) etc. Even though most of the methods can be brought under automation, any of the method stated above could not fully recover the true periods. The wrong detection of period can be due to several reasons such as power leakage to other frequencies which is due to finite total interval, finite sampling interval and finite amount of data. Another problem is aliasing, which is due to the influence of regular sampling. Also spurious periods appear due to long gaps and power flow to harmonic frequencies is an inherent problem of Fourier methods. Hence obtaining the exact period of variable star from it’s time series data is still a difficult problem, in case of huge databases, when subjected to automation. As Matthew Templeton, AAVSO, states “Variable star data analysis is not always straightforward; large-scale, automated analysis design is non-trivial”. Derekas et al. 2007, Deb et.al. 2010 states “The processing of xvi huge amount of data in these databases is quite challenging, even when looking at seemingly small issues such as period determination and classification”. It will be beneficial for the variable star astronomical community, if basic parameters, such as period, amplitude and phase are obtained more accurately, when huge time series databases are subjected to automation. In the present thesis work, the theories of four popular period search methods are studied, the strength and weakness of these methods are evaluated by applying it on two survey databases and finally a modified form of cubic spline method is intro- duced to confirm the exact period of variable star. For the classification of new variable stars discovered and entering them in the “General Catalogue of Vari- able Stars” or other databases like “Variable Star Index“, the characteristics of the variability has to be quantified in term of variable star parameters.

Evaluación e intervención interdisciplinaria del dolor en Unidades de Cuidado Intensivo

El dolor es un problema importante para los pacientes hospitalizados en las UCI porque genera malestar y distrés. Además, la investigación ha demostrado que en algunos pacientes críticos el dolor agudo puede persistir después de alta y convertirse en crónico. La gestión eficaz del dolor en pacientes críticos requiere un enfoque interdisciplinario, que incorpore la visión y trabajo de expertos que representan una amplia variedad de especialidades clínicas. Así, la utilización de la intervención psicológica en el tratamiento del dolor es una parte integral de un enfoque global. Basado en una revisión de la evidencia científica, se identifican y señalan: (1) los tipos de dolor más comunes; (2) las características del dolor; (3) las patologías más frecuentes asociadas con la presencia de dolor; (4) los procedimientos que generan dolor en la UCI; (5) los métodos de evaluación del dolor; (6) la intervención del mismo y; (7) la contribución del psicólogo en la evaluación y manejo del dolor con el paciente, los familiares y los profesionales de la salud. La revisión realizada indica que los procesos psicológicos influyen tanto en la experiencia del dolor como en los resultados del tratamiento, por lo tanto la integración de los principios psicológicos en el tratamiento del dolor parecen tener potencial mejora de los resultados beneficiando la salud del paciente.