Central chemoreceptors and neural mechanisms of cardiorespiratory control

The arterial partial pressure (P CO2) of carbon dioxide is virtually constant because of the close match between the metabolic production of this gas and its excretion via breathing. Blood gas homeostasis does not rely solely on changes in lung ventilation, but also to a considerable extent on circulatory adjustments that regulate the transport of CO2 from its sites of production to the lungs. The neural mechanisms that coordinate circulatory and ventilatory changes to achieve blood gas homeostasis are the subject of this review. Emphasis will be placed on the control of sympathetic outflow by central chemoreceptors. High levels of CO2 exert an excitatory effect on sympathetic outflow that is mediated by specialized chemoreceptors such as the neurons located in the retrotrapezoid region. In addition, high CO2 causes an aversive awareness in conscious animals, activating wake-promoting pathways such as the noradrenergic neurons. These neuronal groups, which may also be directly activated by brain acidification, have projections that contribute to the CO2-induced rise in breathing and sympathetic outflow. However, since the level of activity of the retrotrapezoid nucleus is regulated by converging inputs from wake-promoting systems, behavior-specific inputs from higher centers and by chemical drive, the main focus of the present manuscript is to review the contribution of central chemoreceptors to the control of autonomic and respiratory mechanisms.

Brazilian scientific funding agency budgets have not matched the country's economic growth

The growth of the Brazilian economy in recent years has created an atmosphere of optimism in various segments of Brazilian society, with several important international repercussions. In this paper, we analyze in detail how this economic growth is reflected in investments in science and technology made by major academic funding agencies. As a result, we observed a discrepancy in the growth of funding input and the growth of the Brazilian gross domestic product. This fact associated with an increased academic output entails negative consequences for the system. This may be a symptom of an academic community not fully understood by society and vice versa. Finally, we believe that a long-lasting important change in investment policy in science is necessary in order to ensure financial security for the academic system as a whole.

Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China

The mortality rate of older patients with intertrochanteric fractures has been increasing with the aging of populations in China. The purpose of this study was: 1) to develop an artificial neural network (ANN) using clinical information to predict the 1-year mortality of elderly patients with intertrochanteric fractures, and 2) to compare the ANN's predictive ability with that of logistic regression models. The ANN model was tested against actual outcomes of an intertrochanteric femoral fracture database in China. The ANN model was generated with eight clinical inputs and a single output. ANN's performance was compared with a logistic regression model created with the same inputs in terms of accuracy, sensitivity, specificity, and discriminability. The study population was composed of 2150 patients (679 males and 1471 females): 1432 in the training group and 718 new patients in the testing group. The ANN model that had eight neurons in the hidden layer had the highest accuracies among the four ANN models: 92.46 and 85.79% in both training and testing datasets, respectively. The areas under the receiver operating characteristic curves of the automatically selected ANN model for both datasets were 0.901 (95%CI=0.814-0.988) and 0.869 (95%CI=0.748-0.990), higher than the 0.745 (95%CI=0.612-0.879) and 0.728 (95%CI=0.595-0.862) of the logistic regression model. The ANN model can be used for predicting 1-year mortality in elderly patients with intertrochanteric fractures. It outperformed a logistic regression on multiple performance measures when given the same variables.

Estimating the average length of hospitalization due to pneumonia: a fuzzy approach

Exposure to air pollutants is associated with hospitalizations due to pneumonia in children. We hypothesized the length of hospitalization due to pneumonia may be dependent on air pollutant concentrations. Therefore, we built a computational model using fuzzy logic tools to predict the mean time of hospitalization due to pneumonia in children living in São José dos Campos, SP, Brazil. The model was built with four inputs related to pollutant concentrations and effective temperature, and the output was related to the mean length of hospitalization. Each input had two membership functions and the output had four membership functions, generating 16 rules. The model was validated against real data, and a receiver operating characteristic (ROC) curve was constructed to evaluate model performance. The values predicted by the model were significantly correlated with real data. Sulfur dioxide and particulate matter significantly predicted the mean length of hospitalization in lags 0, 1, and 2. This model can contribute to the care provided to children with pneumonia.

Novel control, haptic and calibration methods for teleoperated electrohydraulic servo systems

The aim of this thesis is to propose a novel control method for teleoperated electrohydraulic servo systems that implements a reliable haptic sense between the human and manipulator interaction, and an ideal position control between the manipulator and the task environment interaction. The proposed method has the characteristics of a universal technique independent of the actual control algorithm and it can be applied with other suitable control methods as a real-time control strategy. The motivation to develop this control method is the necessity for a reliable real-time controller for teleoperated electrohydraulic servo systems that provides highly accurate position control based on joystick inputs with haptic capabilities. The contribution of the research is that the proposed control method combines a directed random search method and a real-time simulation to develop an intelligent controller in which each generation of parameters is tested on-line by the real-time simulator before being applied to the real process. The controller was evaluated on a hydraulic position servo system. The simulator of the hydraulic system was built based on Markov chain Monte Carlo (MCMC) method. A Particle Swarm Optimization algorithm combined with the foraging behavior of E. coli bacteria was utilized as the directed random search engine. The control strategy allows the operator to be plugged into the work environment dynamically and kinetically. This helps to ensure the system has haptic sense with high stability, without abstracting away the dynamics of the hydraulic system. The new control algorithm provides asymptotically exact tracking of both, the position and the contact force. In addition, this research proposes a novel method for re-calibration of multi-axis force/torque sensors. The method makes several improvements to traditional methods. It can be used without dismantling the sensor from its application and it requires smaller number of standard loads for calibration. It is also more cost efficient and faster in comparison to traditional calibration methods. The proposed method was developed in response to re-calibration issues with the force sensors utilized in teleoperated systems. The new approach aimed to avoid dismantling of the sensors from their applications for applying calibration. A major complication with many manipulators is the difficulty accessing them when they operate inside a non-accessible environment; especially if those environments are harsh; such as in radioactive areas. The proposed technique is based on design of experiment methodology. It has been successfully applied to different force/torque sensors and this research presents experimental validation of use of the calibration method with one of the force sensors which method has been applied to.

Power Consumption Measurement and Scenario Based Energy Model in Wearable Computing Applications

The power is still today an issue in wearable computing applications. The aim of the present paper is to raise awareness of the power consumption of wearable computing devices in specific scenarios to be able in the future to design energy efficient wireless sensors for context recognition in wearable computing applications. The approach is based on a hardware study. The objective of this paper is to analyze and compare the total power consumption of three representative wearable computing devices in realistic scenarios such as Display, Speaker, Camera and microphone, Transfer by Wi-Fi, Monitoring outdoor physical activity and Pedometer. A scenario based energy model is also developed. The Samsung Galaxy Nexus I9250 smartphone, the Vuzix M100 Smart Glasses and the SimValley Smartwatch AW-420.RX are the three devices representative of their form factors. The power consumption is measured using PowerTutor, an android energy profiler application with logging option and using unknown parameters so it is adjusted with the USB meter. The result shows that the screen size is the main parameter influencing the power consumption. The power consumption for an identical scenario varies depending on the wearable devices meaning that others components, parameters or processes might impact on the power consumption and further study is needed to explain these variations. This paper also shows that different inputs (touchscreen is more efficient than buttons controls) and outputs (speaker sensor is more efficient than display sensor) impact the energy consumption in different way. This paper gives recommendations to reduce the energy consumption in healthcare wearable computing application using the energy model.

Artificial neural networks (ANN): prediction of sensory measurements from instrumental data

The objective of this study was to predict by means of Artificial Neural Network (ANN), multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters). Output variables were the sensory attributes consistency and spreadability. Nine light cheesecurd formulations composed of different combinations of fat and water were evaluated. The measurements obtained by the instrumental and sensory analyses of these formulations constituted the data set used for training and validation of the network. Network training was performed using a back-propagation algorithm. The network architecture selected was composed of 8-3-9-2 neurons in its layers, which quickly and accurately predicted the sensory texture attributes studied, showing a high correlation between the predicted and experimental values for the validation data set and excellent generalization ability, with a validation RMSE of 0.0506.

Characterization of biomasses from the north and northeast regions of Brazil for processes in biorefineries

Abstract In search for renewable energy sources, the Brazilian residual biomasses stand out due to their favorable physical and chemical properties, low cost, and their being less pollutant. Therefore, they are likely to be used in biorefineries in the production of chemical inputs to substitute fossil fuels. This substitution is possible due to the high contents of carbohydrates (>40%), low contents of extractives (<20%), ashes (<8%) and moisture (<8%) found in these residual biomasses. High calorific values of all residues also offer them the chance to be used in combustion. A principal components analysis (PCA) was performed for better understanding of the samples and their hysic-chemical properties. Thus, this study aimed to characterize biomasses from the north (babassu residues, such as mesocarp and endocarp; pequi and Brazil nut) and northeast (agave and coconut) regions of Brazil, in order to contribute to the preservation of the environment and strengthen the economy of the region.

Asiakasräätälöityjen ratkaisujen toimintamalli

Yhteistyö yli organisaatiorajojen, huolellinen lähtötietojen selvittäminen, täsmällinen tehtävien suorittaminen sekä organisaatiossa olevan tiedon laaja hyödyntäminen ovat projektin onnistumisen kulmakiviä. Usein kuitenkin projekti hautautuu omaan arkeensa keskittyen liikaa tehtävien suorittamiseen, eikä luo katseita ympäristöönsä. Tässä työssä tavoitteena on ollut projekti- ja päätöksentekomallin luominen, joka ohjaa projektia heti alkumetreistä jo ennen kuin päätöstä sen toteuttamisesta on tehty. Tarkoituksena on myös ohjata yhteistyöhön yli organisaatiorajojen ja kaikkien näkökulmien huomioonottamiseen ennen projektin aloituspäätöstä. Malli luotiin konstruktiivisena tapaustutkimuksena ja se nojaa kirjallisuuteen melko laaja-alaisesti. Koska malli tulee ohjaamaan asiakasräätälöintejä toteuttavan organisaation projekteja, viitekehystä rajaavat räätälöinti, tuotehallinta ja ennen kaikkia projektin johtaminen. Tutkimusta varten on tutustuttu kohdeyrityksen prosesseihin ja liitetty konstruktio osaksi näitä prosesseja. Teorian pohjalle luotu konstruktio ratkaisee tutkimusongelman määrittämällä toimintamallin räätälöintiprojektien arvonmääritykseen ja toteutukseen. Se tuo järjestelmällisyyttä projektiehdokkaiden arvon määrittämiseen sekä johdonmukaistaa päätöksentekoprosessia ja projektin toteutusta ottaen huomioon suorien hyötyjen lisäksi epäsuorat hyödyt ja vaikutukset tuotetarjoomaan.

Influence of temperate grass seed rotation systems on weed seed soil bank composition

Due to changing cropping practices in perennial grass seed crops in western Oregon, USA, alternative rotation systems are being considered to reduce weed infestations. Information is generally lacking regarding the effects of alternative agronomic operations and herbicide inputs on soil weed seed bank composition during this transition. Six crop rotation systems were imposed in 1992 on a field that had historically produced monoculture perennial ryegrass (Lolium perenne L.) seeds. Each system plot was 20 x 30 m, arranged in a randomized complete block design, replicated four times. Twenty to thirty soil cores were sampled in June 1997 from each plot. The weed species composition of the cores was determined by successive greenhouse grow-out assays. In addition to seed density, heterogeneity indices for species evenness, richness, and diversity were determined. The most abundant species were Juncus bufonius L. and Poa annua L. Changes in seed bank composition were due to the different herbicides used for the rotation crop components. Compared to the other rotation systems, no-tillage, spring-planted wheat (Triticum aestivum L.) and oat (Avena sativa L.) reduced overall weed seed density and richness, but did not affect weed species evenness or diversity. When meadowfoam (Limnanthes alba Hartweg ex Benth.) succeeded wheat in rotation, weed species richness was unaffected, but evenness and diversity were reduced, compared to the other rotation systems. For meadowfoam in sequence after white clover (Trifolium repens L.), crop establishment method (no-tillage and conventional tillage) had no effect on weed seed species density, evenness, or diversity.

Competitive Effects of Non-Controlling Minority Acquisitions – Sufficient to merit further EU merger regulation?

Partial ownership interests are a widespread phenomenon in modern corporate environment. Unless minority shareholding affords the target to exercise control over the target, they do currently not have to be notified to the European Commission under EU merger regime. However, economic research has long suggested that when linking competing or non-horizontally positioned undertakings particularly in industries with few competitors, minority shareholdings even far below the majority of shares or voting rights could lead to higher prices or lower output volumes to the detriment of consumers. The Commission has recognized this issue and proceeded to suggest an extension of the merger regime to catch also certain non-controlling minority acquisitions. Horizontal non-controlling minority shareholdings create a positive correlation between the sales revenues of the partial acquirer and target. Through the equity interest the acquirer will internalise a fraction, proportional to the financial rights attached to the shareholding, of the profit of the target. This will incentivise the acquirer to contribute to increasing the target’s business profits by increasing its own sales price (horizontal unilateral effects). When a minority stake is held in a vertically related or a conglomerate company, the minority acquirer could be allowed to hamper or eliminate the target’s rivals’ access either to inputs (input foreclosure) or customers (customer foreclosure), depending on which level of the supply chain the parties are (vertical unilateral effects). Under certain circumstances minority share acquisitions could also lessen competition because they facilitate collusion between companies active in the market (coordinated effects). Economic theory confirms that non-controlling minority shareholdings may under certain circumstances create anti-competitive effects that are unlikely to be remedies by pro-competitive effects. However, they are likely to be of less significant nature than anticompetitive effects created by full mergers. This derives fore mostly from the fact that a minority share acquirer carries all the costs associated with its unilateral action but will internalise only a fraction of the lost profits. This is likely to limit the acquirer’s incentive to raise price and the profitability of such behavior. Having in mind that the number of potentially problematic cases is expected to be next to negligible, the limited potential competitive effects of non-controlling minority share acquisitions cannot be seen to clearly merit extension of the scope of the EUMR. The system suggested by the Commission is particularly ill-fitted for such purpose given the clear lack of legal certainty and considerable administrative burden associated with it.

Building climate justice : an analysis of how the nexus between climate change and human rights shapes public policy agendas and alternatives

This thesis provides an analysis of how the nexus between climate change and human rights shapes public policy agendas and alternatives. It draws upon seminal work conducted by John Kingdon, whose landmark publication “Agendas, alternatives, and public policy” described how separate streams of problems, solutions, and politics converge to move an issue onto the public policy agenda toward potential government action. Building on Kingdon’s framework, this research explores how human rights contribute to surfacing the problem of climate change; developing alternative approaches to tackling climate change; and improving the political environment necessary for addressing climate change with sufficient ambition. The study reveals that climate change undermines the realization of human rights and that human rights can be effective tools in building climate resilience. This analysis was developed using a mixed methods approach and drawing upon substantial literature review, the researcher’s own participation in international climate policy design; elite interviews with thought leaders dealing with climate change and human rights; and regular inputs from focus groups comprised of practitioners drawn from the fields of climate change, development and human rights. This is a journal based thesis with a total of six articles submitted for evaluation, published in peer‐reviewed publications, over a five year period. Denna avhandling analyserar hur klimatfrågan och mänskliga rättigheter i samverkan formar den politiska agendan och det politiskt möjliga. Den bygger på banbrytande forskning av John Kingdon, vars publikation “Agendas, alternatives, and public policy” beskriver hur en fråga blir politiskt viktig och lyfts upp på den politiska agendan. Med utgångspunkt i Kingdons ramverk, utforskar avhandlingen hur mänskliga rättigheter bidrar till att blottlägga klimatfrågan som problem; utveckla alternativa metoder för att angripa och hantera klimatfrågan; samt skapa ett politiskt klimat nödvändigt för att på ett ambitiöst sätt kunna angripa klimatfrågan. Studien visar att klimatförändringar undergräver mänskliga rättigheterna men att arbete med mänskliga rättigheter kan vara ett effektivt verktyg för att stå emot och hantera effekterna av klimatförändringar. Analysen har genomförts med hjälp av en rad olika metoder vilka inkluderar litteraturstudier, författarens egna observationer under klimatförhandlingar; intervjuer med ledande tänkare inom klimatfrågan och mänskliga rättigheter; samt data insamlad genom fokusgrupper bestående av yrkesverksamma inom klimat, utveckling och mänskliga rättigheter. Avhandlingen är baserad på totalt sex artiklar som publicerats i fackgranskade tidskrifter under en femårsperiod.

Key factors in U.S. Government support of business internationalization in Finland Case: U.S. Embassy in Helsinki

This study discusses the importance of government intervention for companies and the expansion of national innovation systems. The purpose of the study is to examine the impact which the U.S. Embassy in Helsinki can have on Finnish businesses through their business support programs and events. The embassy has shifted focus in recent years with the creation of an innovation center and increased business services. The study has sub-objectives to discover the critical factors for producing impact, host and home based factor interaction, and effects produced by these initiatives. The theoretical background of the study consists of literature relating to the concepts of national innovation systems and government intervention. The empirical research conduct for this study is based on interviews with experts from the environment surrounding the U.S. Embassy in Helsinki, Finland and participation in embassy events. The data was collected between March 2014 and September 2015. Seven interviews were conducted; five with representatives of the U.S. Embassy and two with related organizations. Thematic analysis was used to categorize and interpret interview and observation data. The use of an impact radar was implemented as a basis for analysis. This study finds that the internationalization of national innovation systems provides interesting opportunities and challenges for national governments. The opportunity to provide services to foreign companies by an embassy in a stable environment opens the possibility to create positive notice and relations with the host country. The increased connections and inputs to the national innovation system of the home country have the potential to increase knowledge absorption and create positive growth. The most effective way for governments to encourage businesses is to create incentives and reduce barriers. The services are best aimed at small to medium sized companies in the early stages of development. The findings of this report suggest that the most critical factors for producing impact on companies are the ability to disseminate information effectively, the ability to create a positive image of the country, the ability to foster effective networks between the two countries, and the ability to facilitate the internationalization of companies. In the best cases, the embassy is able to create incentives to internationalize to the United States and reduce barriers which are encountered by companies. Future research is necessary to fully understand the impact of business services provided by an embassy can have on the political and economic relations of countries, and on particular industry sectors. The institutional setting provided by the embassy’s focus on business relations provides a rich environment for further study in a number of areas.

Suurlujuusterästen hitsausliitoksen muutosvyöhykkeen metallurgiset muutokset

Tässä kandidaatintyössä käsitellään suurlujuusteräksiä ja niiden hitsausta, keskittyen varsinkin hitsauksessa perusaineeseen syntyvään muutosvyöhykkeeseen. Työn alkuosio on suoritettu kirjallisuustutkimuksena ja siinä käydään läpi yleisesti suurlujuusterästen määrittelyä, valmistustapoja, hitsausta ja hitsaukseen liittyviä erityisnäkökohtia. Työn loppuosassa on tutustuttu suurlujuusteräksiä hitsattaessa syntyvään muutosvyöhykkeeseen koehitsien avulla. Suurlujuusteräksille ei ole luotu yleistä standardisoitua määrittelyasteikkoa, mutta teräksiä aletaan usein pitämään suurlujuusteräksinä kun niiden myötöraja ylittään 460–550 MPa. Tällaisia teräksiä voidaan valmistaa pääasiassa joko nuorruttamalla, termomekaanisesti valssaamalla tai suorakarkaisemalla. Valmistustavalla on suuri vaikutus teräksen hitsattavuuteen. Nuorrutetuille teräksille hitsattaessa muodostuvan muutosvyöhykkeen karkearakeisen osion raekoko voi kasvaa huomattavasti varsinkin suurempia lämmöntuonteja käytettäessä ja täten aiheuttaa merkittävääkin kovuuden kasvua, kuten myös tämän kandidaatintyön koehitseissä havaittiin. Termomekaanisesti valmistetuilla teräksillä ei vastaavanlaista kovuuden kasvua yleensä ilmene. Valmistustavasta riippumatta suurlujuusterästen mekaaniset ominaisuudet vaikuttaisivat heikentyvän kyseisellä vyöhykkeellä suurempia lämmöntuonteja käytettäessä. Suurlujuusterästen hitsausliitosten laatua pyritäänkin parantamaan jatkuvasti esimerkiksi kehittämällä materiaaleista paremmin hitsattavia ja hitsausprosesseista paremmin suurlujuusteräksien erityistarpeita huomioivia.

Greener Golf Operations: A Comparative Case Study of Ontario Golf Courses Engaged in Environmental Sustainability Initiatives

This research explored environmental sustainability (ES) initiatives at five top-ranked Ontario golf courses that were members of the Audubon Cooperative Sanctuary Program for Golf (ACSP). Research Questions: (1) How are golf courses adapting to safeguard the natural environment? (2) Why or why not are golf courses moving to ES? and (3) What are the arising barriers to ES in golf and how can they be overcome; what role does communication play? Overall, the research was framed with an adaptation of the dimensions of convergence by Houlihan (2012), including the motives, inputs, implementation, momentum, and impact. Additionally, impression management and message framing constructs were utilized to address the issue of communicating ES initiatives. Data collection involved in-depth interviews, observations, and unobtrusive document collection. Environmental aspects of the examination were guided by the Canadian Standards Association (CSA) Requirements and Guidance for Organizers of Sustainable Events and Sustainable Sport and Event Toolkit (SSET).