976 resultados para Groundwater abstraction
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Mobility of atrazine in soil has contributed to the detection of levels above the legal limit in surface water and groundwater in Europe and the United States. The use of new formulations can reduce or minimize the impacts caused by the intensive use of this herbicide in Brazil, mainly in regions with higher agricultural intensification. The objective of this study was to compare the leaching of a commercial formulation of atrazine (WG) with a controlled release formulation (xerogel) using bioassay and chromatographic methods of analysis. The experiment was a split plot randomized block design with four replications, in a (2 x 6) + 1 arrangement. The main formulations of atrazine (WG and xerogel) were allocated in the plots, and the herbicide concentrations (0, 3200, 3600, 4200, 5400 and 8000 g ha-1), in the subplots. Leaching was determined comparatively by using bioassays with oat and chromatographic analysis. The results showed a greater concentration of the herbicide in the topsoil (0-4 cm) in the treatment with the xerogel formulation in comparison with the commercial formulation, which contradicts the results obtained with bioassays, probably because the amount of herbicide available for uptake by plants in the xerogel formulation is less than that available in the WG formulation.
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Sulfentrazone leaching potential is dependent on soil properties such as strength and type of clay, organic matter content and pH, and may result in ineffectiveness of the product and contamination of groundwater. The objective of this study was to evaluate sulfentrazone leaching in five soils of the sugarcane region in the Northeast Region of Brazil, with different physical and chemical properties, by means of bioassay and high-performance liquid chromatography (HPLC) resolution. The experiment was conducted in a split plot in a completely randomized design. The plots had PVC columns with a 10 cm diameter and being 50 cm deep, filled with five different soil classes (quartzarenic neosol, haplic cambisol, yellowish-red latosol, yellowish-red acrisol, and haplic gleysol), and subplots for 10 depths in columns, 5 cm intervals. On top of the columns, sulfentrazone application was conducted and 12 hours later there was a simulated rainfall of 60 mm. After 72 hours, the columns were horizontally placed and longitudinally open, divided into sections of 5.0 cm. In the center of each section of the columns, soil samples were collected for chromatographic analyses and sorghum sowing was carried out as an indicator plant. The bioassay method was more sensitive to detect the presence of sulfentrazone in an assessment for chromatography soil, having provided greater herbicide mobility in quartzarenic neosol and yellowish-red latosol, whose presence was detected by the indicator plant to a depth of 45 and 35 cm, respectively. In the other soils, sulfentrazone was detected up to 20 cm deep. The intense mobility of sulfentrazone in quartzarenic neosol may result in herbicide efficiency loss in the soil because the symptoms of intoxication and the amount of herbicide detected via silica were highest between 15 cm and 35 cm depth regarding the soil surface layer (0-10 cm), indicating that sulfentrazone should be avoided in soils with such characteristics.
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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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Suomessa arvioidaan olevan kaikkiaan 2000 - 2500 ampumarataa joista aktiivisessa käytössä on noin 1000 kpl. Useimmat ulkoradat on perustettu paljon ennen nykyisten ympäristölakien voimaantuloa. Tästä syystä ammunnan ympäristövaikutukset melua lukuun ottamatta, eivät varmaan ole olleet tarkasteltavien asioiden listan kärjessä ampumaratoja suunniteltaessa. Sopivan maa alueen saatavuus sopivalla paikalla rakennuskustannusten minimoimiseksi on täytynyt olla yksi tärkeimmistä kriteereistä. Joissakin tapauksissa tämä valitettavasti on johtanut siihen, että ratojen paikoiksi on valittu sellaisia, mitä tämän päivän tietämyksellä ei suositeltaisi, kuten esimerkiksi pohjaveden muodostumisalueet. Ampumaratojen, etenkin haulikkoratojen, on todettu aiheuttaneen paikallisesti varsin laajaa maaperän pilaantumista. Toiminnan jatkuessa, runsaasti raskasmetalleja kertyy maahan ja taustapenkkoihin josta se rapautuu ja kulkeutuu alueelta pohjavesiin. Pohjaveden mukana haitta-aineet saattavat kulkeutua vedenpuhdistamoihin muodostaen riskiä paikallisasukkaiden terveydelle sekä jossain määrin alueen kasvillisuudelle ja faunalle. Vuoden 2007 valtioneuvoston PIMA-asetus muutti joitakin ohje-arvoja, joten näitä uusia arvoja on otettavaa huomioon niin riskiarvioinnissa kuin alueen käyttömahdollisuuksien kannalta tulevaisuudessa. Asetuksen voimaantulo edellyttää tapauskohtaisten riskiarviointien tekemistä ampumarata-alueiden kunnostuksen yhteydessä jolloin saavutetaan mahdollisemman tehokasta hyöty-kustannustasoa. Tutkimuksen tarkoituksena on kartoittaa uuden asetuksen mukaisesti ampumaratojen muodostamaa riskiä sekä rajata kunnostettavat alueet ja valita sopivammat kunnostusvaihtoehdot. Esimerkkitapauksina käytetään Kokkolan kaupungin alueella sijaitsevaa ampumarata-aluetta.
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Mothers represent the natural caring. Natural caring is the object of caring science and of research interest because it establishes the central core of professional caring. In this study, we encounter patients who are mothers in need of care in a psychiatric context. Motherhood involves taking responsibility that extends beyond one's own life, because the child represents possibilities in a yet unknown future. Understanding and knowledge about the mothers' struggle in health and suffering are of crucial importance to enable clinical practice to make provisions for and adapt to the individual patient. The overall purpose of this dissertation is to illuminate how the innermost essence of caring emerges in health and suffering in patients who are mothers in psychiatric care. The purpose of the study in a clinical sense is to seek to understand and illuminate the patient's inner world in health and suffering in terms of contextual, existential, ontological and ethical dimensions. The dissertation is exploratory and descriptive in nature and encompasses induction, deduction and abduction as logics tools of reasoning. A theoretical model of natural caring and a universal theoretical model of the innermost essence of caring is developed as seen from the patient's world in a psychiatric context. The dissertation is anchored in human science's view of the human being and the world and in caring science's perspective. Caring science's view of the human being as a unity comprising body, soul and spirit is central in the study's concept of the patient. This multi-dimensional conception of the human being encompasses the dissertation's basic values and is decisive for choice of methodology. Hermeneutic epistemology guided the interpretation of the empirical data, the paradigmatic theses and assumptions. The dialectical movement in interpretation moves back and forth between empirical data, caring science theory and philosophical theory and reveals deeper insight into meaningful content in the clinical context. The interpretation process comprises four levels of abstraction: rational, contextual, existential and ontological. Hermeneutic philosophy guides the inductive and deductive approach to interpretation, as well as the movement between the clinical context and the caring science paradigm. In this encounter between the visible and invisible reality, the image of natural caring – motherliness emerged. The dissertation consists of four studies. The first study is a systematic review of nineteen research articles. The three other studies are hermeneutical interpretations based on text materials from open interviews. Fifteen participants were interviewed, all of whom are mothers of children between 0 and 18 years of age. All were outpatients in the psychiatric specialist health service. In the interpretation process, the mothers' struggle in health and suffering emerges as a struggle between the inner and outer world. Being a mother and patient in health and suffering in a psychiatric context means to struggle to be oneself, to create oneself, to live and realize one's good deeds as a mother and human being. To be oneself, to possess oneself as a mother is not only a question of tending, playing and learning in order to master a practical situation or to survive. It involves constituting a deep, inner desire to courageously create oneself so that the child is able to realize his or her potential in health and suffering. Motherliness manifests itself in caring as a call to ministering humanity and life. The voice of motherliness is understood as the voice of life—the eternal, inner call of love and freedom. The inner call craves fulfilment. Motherliness in natural caring does not retreat. Motherliness defines the Other as freedom and proceeds without regard for all other exterior requirements to realizing wellbeing. The inner essence of caring is attentive, aware and heeds the call of the heart. The innermost essence of caring is to be and to make oneself responsible for the Other. Responsibility cannot be relinquished; free choice consists in whether or not to follow the call. To renounce the inner call to responsibility is to deny oneself and one's dignity as a human being. The theoretical models provide clinical and systematic caring science with knowledge and understanding based on the natural caring spirit inherent in the human being. The study elucidates and strengthens the ontological basic assumptions about the human being as a unity of body, soul and spirit, the sanctity of the human being and the core of caring, ethos. The results of the dissertation will provide clinical practice with knowledge about the inner movements of the mothers' souls in relation to their responsibility as mothers and human beings. Being able to understand the basic conditions for responsibility is crucial for developing care that encompasses mother and child and the mutual relationship between them. This is basic knowledge for developing attitudes and actions that meet and provide for the needs of the patient as mother and as a whole, suffering human being.
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Nowadays, computer-based systems tend to become more complex and control increasingly critical functions affecting different areas of human activities. Failures of such systems might result in loss of human lives as well as significant damage to the environment. Therefore, their safety needs to be ensured. However, the development of safety-critical systems is not a trivial exercise. Hence, to preclude design faults and guarantee the desired behaviour, different industrial standards prescribe the use of rigorous techniques for development and verification of such systems. The more critical the system is, the more rigorous approach should be undertaken. To ensure safety of a critical computer-based system, satisfaction of the safety requirements imposed on this system should be demonstrated. This task involves a number of activities. In particular, a set of the safety requirements is usually derived by conducting various safety analysis techniques. Strong assurance that the system satisfies the safety requirements can be provided by formal methods, i.e., mathematically-based techniques. At the same time, the evidence that the system under consideration meets the imposed safety requirements might be demonstrated by constructing safety cases. However, the overall safety assurance process of critical computerbased systems remains insufficiently defined due to the following reasons. Firstly, there are semantic differences between safety requirements and formal models. Informally represented safety requirements should be translated into the underlying formal language to enable further veri cation. Secondly, the development of formal models of complex systems can be labour-intensive and time consuming. Thirdly, there are only a few well-defined methods for integration of formal verification results into safety cases. This thesis proposes an integrated approach to the rigorous development and verification of safety-critical systems that (1) facilitates elicitation of safety requirements and their incorporation into formal models, (2) simplifies formal modelling and verification by proposing specification and refinement patterns, and (3) assists in the construction of safety cases from the artefacts generated by formal reasoning. Our chosen formal framework is Event-B. It allows us to tackle the complexity of safety-critical systems as well as to structure safety requirements by applying abstraction and stepwise refinement. The Rodin platform, a tool supporting Event-B, assists in automatic model transformations and proof-based verification of the desired system properties. The proposed approach has been validated by several case studies from different application domains.
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This caring science study explores ‘Will’ as an ontological concept. The aim is to deepen the understanding of the essence of Will, and to highlight the manifestations of Will and how Will becomes evident in clinical caring. Will is ontological and universal. Will is connected with the essence of the human being, and manifests in the human being as will. The approach is inspired by Gadamer’s philosophical hermeneutics. The study’s horizon of understanding consists of Eriksson’s caritative theory and the caring science-tradition. The study’s research questions are as follows: What is the essence of Will? What are its manifestations? How does Will become evident in clinical caring? The hermeneutic interpretative movement is initiated by the material, which consists of the philosopher Arthur Schopenhauer’s texts, letters from experts and dictionaries. Meaning-bearing substance fragments in the material are intertwined with the original horizon of understanding through hermeneutical reading, hermeneutical interpretation and concept analysis in an oscillating interpretive movement. An abstraction occurs when the new substance is illuminated by the caring science ontology. The oscillating interpretive movement results in a reinterpreted horizon of understanding, which in turn provides the findings of the study. The reinterpreted horizon of understanding is presented in the form of a theoretical model and abductive theses. The essence of Will is represented in the theoretical model as the lifeaffirming and the loving force. Life and love are Will’s origin and destination. Will’s manifestations (its diversity) hold conditions and chance occurrences that obstruct Will. Hence the will of the human being does not necessarily appear in a way that is in tune with ontological Will. Will represents the lifeblood of ethos, and in this lifeblood love flows. Will acts by virtue of itself, and gives ethos its force. Will manifests in a way that ethos can affirm. When Will is affected by caring its force is active in the service of life and love. Being a caregiver entails acting as a world-eye, which means recognizing Will in diversity. For caregivers, being a world-eye means observing fragments of Will as it manifests in its original form in the real reality, and acting as the mirror of life. The human being who is able to perceive the fundamental values of life and to live according to these has understood the laws of life and entered upon the human calling. The human being then lives according to the fundamental order and has found a home in life.
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Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.
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The bedrock of old crystalline cratons is characteristically saturated with brittle structures formed during successive superimposed episodes of deformation and under varying stress regimes. As a result, the crust effectively deforms through the reactivation of pre-existing structures rather than by through the activation, or generation, of new ones, and is said to be in a state of 'structural maturity'. By combining data from Olkiluoto Island, southwestern Finland, which has been investigated as the potential site of a deep geological repository for high-level nuclear waste, with observations from southern Sweden, it can be concluded that the southern part of the Svecofennian shield had already attained structural maturity during the Mesoproterozoic era. This indicates that the phase of activation of the crust, i.e. the time interval during which new fractures were generated, was brief in comparison to the subsequent reactivation phase. Structural maturity of the bedrock was also attained relatively rapidly in Namaqualand, western South Africa, after the formation of first brittle structures during Neoproterozoic time. Subsequent brittle deformation in Namaqualand was controlled by the reactivation of pre-existing strike-slip faults.In such settings, seismic events are likely to occur through reactivation of pre-existing zones that are favourably oriented with respect to prevailing stresses. In Namaqualand, this is shown for present day seismicity by slip tendency analysis, and at Olkiluoto, for a Neoproterozoic earthquake reactivating a Mesoproterozoic fault. By combining detailed field observations with the results of paleostress inversions and relative and absolute time constraints, seven distinctm superimposed paleostress regimes have been recognized in the Olkiluoto region. From oldest to youngest these are: (1) NW-SE to NNW-SSE transpression, which prevailed soon after 1.75 Ga, when the crust had sufficiently cooled down to allow brittle deformation to occur. During this phase conjugate NNW-SSE and NE-SW striking strike-slip faults were active simultaneous with reactivation of SE-dipping low-angle shear zones and foliation planes. This was followed by (2) N-S to NE-SW transpression, which caused partial reactivation of structures formed in the first event; (3) NW-SE extension during the Gothian orogeny and at the time of rapakivi magmatism and intrusion of diabase dikes; (4) NE-SW transtension that occurred between 1.60 and 1.30 Ga and which also formed the NW-SE-trending Satakunta graben located some 20 km north of Olkiluoto. Greisen-type veins also formed during this phase. (5) NE-SW compression that postdates both the formation of the 1.56 Ga rapakivi granites and 1.27 Ga olivine diabases of the region; (6) E-W transpression during the early stages of the Mesoproterozoic Sveconorwegian orogeny and which also predated (7) almost coaxial E-W extension attributed to the collapse of the Sveconorwegian orogeny. The kinematic analysis of fracture systems in crystalline bedrock also provides a robust framework for evaluating fluid-rock interaction in the brittle regime; this is essential in assessment of bedrock integrity for numerous geo-engineering applications, including groundwater management, transient or permanent CO2 storage and site investigations for permanent waste disposal. Investigations at Olkiluoto revealed that fluid flow along fractures is coupled with low normal tractions due to in-situ stresses and thus deviates from the generally accepted critically stressed fracture concept, where fluid flow is concentrated on fractures on the verge of failure. The difference is linked to the shallow conditions of Olkiluoto - due to the low differential stresses inherent at shallow depths, fracture activation and fluid flow is controlled by dilation due to low normal tractions. At deeper settings, however, fluid flow is controlled by fracture criticality caused by large differential stress, which drives shear deformation instead of dilation.
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The expression of sarcoplasmic reticulum SERCA1a Ca2+-ATPase wild-type and D351E mutants was optimized in yeast under the control of a galactose promoter. Fully active wild-type enzyme was recovered in yeast microsomal membrane fractions in sufficient amounts to permit a rapid and practical assay of ATP hydrolysis and phosphoenzyme formation from ATP or Pi. Mutant and wild-type Ca2+-ATPase were assayed for phosphorylation by Pi under conditions that are known to facilitate this reaction in the wild-type enzyme, including pH 6.0 or 7.0 at 25ºC in the presence of dimethylsulfoxide. Although glutamyl (E) and aspartyl (D) residue side chains differ by only one methylene group, no phosphoenzyme could be detected in the D351E mutant, even upon the addition of 40% dimethylsulfoxide and 1 mM 32Pi in the presence of 10 mM EGTA and 5 mM MgCl2. These results show that in the D351E mutant, increasing hydrophobicity of the site with inorganic solvent was not a sufficient factor for the required abstraction of water in the reaction of E351 with Pi to form a glutamylphosphate (P-E351) phosphoenzyme moiety. Mutation D351E may disrupt the proposed alignment of the reactive water molecule with the aspartylphosphate (P-D351) moiety in the phosphorylation site, which may be an essential alignment both in the forward reaction (hydrolysis of aspartylphosphate) and in the reverse reaction (abstraction of water upon formation of an aspartylphosphate intermediate).
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ICT contributed to about 0.83 GtCO2 emissions where the 37% comes from the telecoms infrastructures. At the same time, the increasing cost of energy has been hindering the industry in providing more affordable services for the users. One of the sources of these problems is said to be the rigidity of the current network infrastructures which limits innovations in the network. SDN (Software Defined Network) has emerged as one of the prominent solutions with its idea of abstraction, visibility, and programmability in the network. Nevertheless, there are still significant efforts needed to actually utilize it to create a more energy and environmentally friendly network. In this paper, we suggested and developed a platform for developing ecology-related SDN applications. The main approach we take in realizing this goal is by maximizing the abstractions provided by OpenFlow and to expose RESTful interfaces to modules which enable energy saving in the network. While OpenFlow is made to be the standard for SDN protocol, there are still some mechanisms not defined in its specification such as settings related to Quality of Service (QoS). To solve this, we created REST interfaces for setting of QoS in the switches which can maximize network utilization. We also created a module for minimizing the required network resources in delivering packets across the network. This is achieved by utilizing redundant links when it is needed, but disabling them when the load in the network decreases. The usage of multi paths in a network is also evaluated for its benefit in terms of transfer rate improvement and energy savings. Hopefully, the developed framework can be beneficial for developers in creating applications for supporting environmentally friendly network infrastructures.
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Resilience is the property of a system to remain trustworthy despite changes. Changes of a different nature, whether due to failures of system components or varying operational conditions, significantly increase the complexity of system development. Therefore, advanced development technologies are required to build robust and flexible system architectures capable of adapting to such changes. Moreover, powerful quantitative techniques are needed to assess the impact of these changes on various system characteristics. Architectural flexibility is achieved by embedding into the system design the mechanisms for identifying changes and reacting on them. Hence a resilient system should have both advanced monitoring and error detection capabilities to recognise changes as well as sophisticated reconfiguration mechanisms to adapt to them. The aim of such reconfiguration is to ensure that the system stays operational, i.e., remains capable of achieving its goals. Design, verification and assessment of the system reconfiguration mechanisms is a challenging and error prone engineering task. In this thesis, we propose and validate a formal framework for development and assessment of resilient systems. Such a framework provides us with the means to specify and verify complex component interactions, model their cooperative behaviour in achieving system goals, and analyse the chosen reconfiguration strategies. Due to the variety of properties to be analysed, such a framework should have an integrated nature. To ensure the system functional correctness, it should rely on formal modelling and verification, while, to assess the impact of changes on such properties as performance and reliability, it should be combined with quantitative analysis. To ensure scalability of the proposed framework, we choose Event-B as the basis for reasoning about functional correctness. Event-B is a statebased formal approach that promotes the correct-by-construction development paradigm and formal verification by theorem proving. Event-B has a mature industrial-strength tool support { the Rodin platform. Proof-based verification as well as the reliance on abstraction and decomposition adopted in Event-B provides the designers with a powerful support for the development of complex systems. Moreover, the top-down system development by refinement allows the developers to explicitly express and verify critical system-level properties. Besides ensuring functional correctness, to achieve resilience we also need to analyse a number of non-functional characteristics, such as reliability and performance. Therefore, in this thesis we also demonstrate how formal development in Event-B can be combined with quantitative analysis. Namely, we experiment with integration of such techniques as probabilistic model checking in PRISM and discrete-event simulation in SimPy with formal development in Event-B. Such an integration allows us to assess how changes and di erent recon guration strategies a ect the overall system resilience. The approach proposed in this thesis is validated by a number of case studies from such areas as robotics, space, healthcare and cloud domain.
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The Graphite furnace atomic absorption spectrometry (GF AAS) was the technique chosen by the inorganic contamination laboratory (INCQ/ FIOCRUZ) to be validated and applied in routine analysis for arsenic detection and quantification. The selectivity, linearity, sensibility, detection, and quantification limits besides accuracy and precision parameters were studied and optimized under Stabilized Temperature Platform Furnace (STPF) conditions. The limit of detection obtained was 0.13 µg.L-1 and the limit of quantification was 1.04 µg.L-1, with an average precision, for total arsenic, less than 15% and an accuracy of 96%. To quantify the chemical species As(III) and As(V), an ion-exchange resin (Dowex 1X8, Cl- form) was used and the physical-chemical parameters were optimized resulting in a recuperation of 98% of As(III) and of 90% of As(V). The method was applied to groundwater, mineral water, and hemodialysis purified water samples. All results obtained were lower than the maximum limit values established by the legal Brazilian regulations, in effect, 50, 10, and 5 µg.L-1 para As total, As(III) e As(V), respectively. All results were statistically evaluated.
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Building a computational model for complex biological systems is an iterative process. It starts from an abstraction of the process and then incorporates more details regarding the specific biochemical reactions which results in the change of the model fit. Meanwhile, the model’s numerical properties such as its numerical fit and validation should be preserved. However, refitting the model after each refinement iteration is computationally expensive resource-wise. There is an alternative approach which ensures the model fit preservation without the need to refit the model after each refinement iteration. And this approach is known as quantitative model refinement. The aim of this thesis is to develop and implement a tool called ModelRef which does the quantitative model refinement automatically. It is both implemented as a stand-alone Java application and as one of Anduril framework components. ModelRef performs data refinement of a model and generates the results in two different well known formats (SBML and CPS formats). The development of this tool successfully reduces the time and resource needed and the errors generated as well by traditional reiteration of the whole model to perform the fitting procedure.
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Our goal is to get better understanding of different kind of dependencies behind the high-level capability areas. The models are suitable for investigating present state capabilities or future developments of capabilities in the context of technology forecasting. Three levels are necessary for a model describing effects of technologies on military capabilities. These levels are capability areas, systems and technologies. The contribution of this paper is to present one possible model for interdependencies between technologies. Modelling interdependencies between technologies is the last building block in constructing a quantitative model for technological forecasting including necessary levels of abstraction. This study supplements our previous research and as a result we present a model for the whole process of capability modelling. As in our earlier studies, capability is defined as the probability of a successful task or operation or proper functioning of a system. In order to obtain numerical data to demonstrate our model, we conducted a questionnaire to a group of defence technology researchers where interdependencies between seven representative technologies were inquired. Because of a small number of participants in questionnaires and general uncertainties concerning subjective evaluations, only rough conclusions can be made from the numerical results