大港油田孔南地区孔一段储层流动单元研究

The main reservoir type in the south of Dagang Oilfield is alluvial reservoir. In this paper, the reservoir structure model and the distribution of connected body and flow barrier were built on base of the study of high-resolution sequential stratigraphic skeleton and fine sedimentary microfacies on level of single sandbody. Utilizing the static and dynamic data synthetically and carrying out the comparision of the classification method for reservoir flow unit in different reservoir, the criterion, which can be used to classify the flow unit in first section of Kongdian formation of Kongnan area, was defined. The qualitative method of well-to-well correlation and the quantitative method of conditional simulation using multiple data are adopted to disclose the oil and water moving regulation in different flow unit and the distribution rule of remaining oil by physical simulation measure. A set of flow unit study method was formed that is suit for the Dagang Oilfield on account of the remaining oil production according to the flow unit. Several outstanding progresses was obtained in the following aspects:It is considered that the reservoir structure of Zao V iow oil group- Zao Vup4 layerand are jigsaw-puzzled reservoir, while ZaoVup3-ZaoVupi layers are labyrinth reservoir,which are studied on base of high-resolution sequential stratigraphic skeleton on the levelof single sandbody in first section of Kongdian formation of Kongnan area and accordingto the study of fine sedimentary microfacies and fault sealeing.When classifying the flow unit, only permeability is the basic parameter using thestatic and dynamic data and, and also different parameters should be chose or deleted, suchas porosity, effective thickness, fluid viscosity and so on, because of the weak or stronginterlayer heterogeneous and the difference of interlayer crude oil character.The method of building predicting-model of flow unit was proposed. This methodis according to the theories of reservoir sedimentology and high-resolution sequencestratigraphic and adopts the quantitative method of well-to well correlation and the quantitative method of stochastic simulation using integrateddense well data. Finally the 3-D predicting-model of flow unit and the interlay er distribution model in flow unit were built which are for alluvial fan and fan delta fades in first section of Kongdian formation of Kongnan area, and nine genetic model of flow unit of alluvial environment that spread in the space were proposed.(4) Difference of reservoir microscopic pore configuration in various flow units and difference of flow capability and oil displacement effect were demonstrated through the physical experiments such as nuclear magnetic resonance (NMR), constant rate mercury penetration, flow simulation and so on. The distribution of remaining oil in this area was predicted combining the dynamic data and numerical modeling based on the flow unit. Remaining oil production measure was brought up by the clue of flow unit during the medium and late course of the oilfield development.

金属矿集区深层结构高分辨率地震探测——以安徽铜陵金属矿为例

The reflection seismic prospecting technique is an important and a widely used method in the petroleum and coal surveying, and has been developed to a perfectly mature technique from the aspects of data acquisition, data processing to data interpretation. However, the metallic mine seismic prospecting, especially the high resolution seismic prospecting technique are being still in the course of studying and probing up to now. In this paper, the basic theory and the present situation of study on metallic mine seismic reflection are expatiated, the basic theory, the improving measure, the converging velocity and the ability on the integrating global optimization method are also illuminated in detail at first. Then the basic theory, the realization process and the practicing effects of the vector suppressing noise algorithm are also introduced. On the basis of studying of applying the integrating global optimization method to static correction and the vector suppressing noise algorithm, we elaborate processed the seismic data of Tongling metallic mine. We introduced the processing flow, the key steps and the processing effects. Basing on the processing results, we analyzed the major reflection characteristics, the geological interpretation results and the earth's crust top reflection structure and the space distribution status of Wutong set, the space shape of part lithological body and the contacting relations of horizonsunveiled.

绑定于身体和绑定于环境的空间信息处理过程

In 7 experiments, the authors examined the perceptual and cognitive processes used to track the locations of objects during locomotion. Participants learned locations of 9 objects on the outer part of a turntable from a single viewpoint while standing in the middle of the turntable. They subsequently pointed to objects while facing the learning heading and a new heading, using imagined headings that corresponded to their current actual body heading and the other actual heading. Participants in 6 experiments were asked to imagine that the objects moved with them as they turned and were shown or only told that the objects would move with them; in Experiment 7, participants were shown that objects could move with them but were asked to ignore this as they turned. Results showed that participants tracked object locations as though the objects moved with them when shown but not when told about the consequences of their locomotion. Once activated, this processing mode could not be suppressed by instructions. Results indicated that people process object locations in a body- or an environment-stabilized manner during locomotion, depending on the perceptual consequences of locomotion.

Nanotoxicologia

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

O Impacto das Alergias Alimentares no dia-a-dia

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

Infeções em Cateteres de Hemodialisados

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

La pensée Sensible

Tese apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutor em Ciências Sociais, especialidade em Psicologia

Pratiques d’infirmière clinicienne et obésité

Tese apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutor em Ciências Sociais, especialidade em Psicologia

Load Profiling in Distributed Real-Time Systems

Load balancing is often used to ensure that nodes in a distributed systems are equally loaded. In this paper, we show that for real-time systems, load balancing is not desirable. In particular, we propose a new load-profiling strategy that allows the nodes of a distributed system to be unequally loaded. Using load profiling, the system attempts to distribute the load amongst its nodes so as to maximize the chances of finding a node that would satisfy the computational needs of incoming real-time tasks. To that end, we describe and evaluate a distributed load-profiling protocol for dynamically scheduling time-constrained tasks in a loosely-coupled distributed environment. When a task is submitted to a node, the scheduling software tries to schedule the task locally so as to meet its deadline. If that is not feasible, it tries to locate another node where this could be done with a high probability of success, while attempting to maintain an overall load profile for the system. Nodes in the system inform each other about their state using a combination of multicasting and gossiping. The performance of the proposed protocol is evaluated via simulation, and is contrasted to other dynamic scheduling protocols for real-time distributed systems. Based on our findings, we argue that keeping a diverse availability profile and using passive bidding (through gossiping) are both advantageous to distributed scheduling for real-time systems.

Multi-parametric metabolic assessment of cells under stress conditions

Glycolysis, glutaminolysis, the Krebs cycle and oxidative phosphorylation are the main metabolic pathways. Exposing cells to key metabolic substrates (glucose, glutamine and pyruvate); investigation of the contribution of substrates in stress conditions such as uncoupling and hypoxia was conducted. Glycolysis, O2 consumption, O2 and ATP levels and hypoxia inducible factor (HIF) signalling in PC12 cells were investigated. Upon uncoupling with FCCP mitochondria were depolarised similarly in all cases, but a strong increase in respiration was only seen in the cells fed on glutamine with either glucose or pyruvate. Inhibition of glutaminolysis reversed the glutamine dependant effect. Differential regulation of the respiratory response to FCCP by metabolic environment suggests mitochondrial uncoupling has a potential for substrate-specific inhibition of cell function. At reduced O2 availability (4 % and 0 % O2), cell bioenergetics and local oxygenation varied depending on the substrate composition. Results indicate that both supply and utilisation of key metabolic substrates can affect the pattern of HIF-1/2α accumulation by differentially regulating iO2¬, ATP levels and Akt/Erk/AMPK pathways. Inhibition of key metabolic pathways can modulate HIF regulatory pathways, metabolic responses and survival of cancer cells in hypoxia. Hypoxia leads to transcriptional activation, by HIF, of pyruvate dehydrogenase (PDH) kinase which phosphorylates and inhibits PDH, a mitochondrial enzyme that converts pyruvate into acetyl-CoA. The levels of PDH (total and phosphorylated), PDH kinase and HIF-1α were analysed in HCT116 and HCT116 SCO2-/- (deficient in complex IV of the respiratory chain) grown under 20.9 % and 3 % O2. Data indicate that regulation of PDH can occur in a manner independent of the HIF-1/PDH kinase 1 axis, mitochondrial respiration and the demand for acetyl-CoA. Collectively these results can be applied to many diseases; reduced nutrient supply and O2 during ischemia/stroke, hypoglycaemia in diabetes mellitus and cancer associated changes in uncoupling protein expression levels.

Computational Inference of Genome-Wide Protein-DNA Interactions Using High-Throughput Genomic Data

Transcriptional regulation has been studied intensively in recent decades. One important aspect of this regulation is the interaction between regulatory proteins, such as transcription factors (TF) and nucleosomes, and the genome. Different high-throughput techniques have been invented to map these interactions genome-wide, including ChIP-based methods (ChIP-chip, ChIP-seq, etc.), nuclease digestion methods (DNase-seq, MNase-seq, etc.), and others. However, a single experimental technique often only provides partial and noisy information about the whole picture of protein-DNA interactions. Therefore, the overarching goal of this dissertation is to provide computational developments for jointly modeling different experimental datasets to achieve a holistic inference on the protein-DNA interaction landscape.

We first present a computational framework that can incorporate the protein binding information in MNase-seq data into a thermodynamic model of protein-DNA interaction. We use a correlation-based objective function to model the MNase-seq data and a Markov chain Monte Carlo method to maximize the function. Our results show that the inferred protein-DNA interaction landscape is concordant with the MNase-seq data and provides a mechanistic explanation for the experimentally collected MNase-seq fragments. Our framework is flexible and can easily incorporate other data sources. To demonstrate this flexibility, we use prior distributions to integrate experimentally measured protein concentrations.

We also study the ability of DNase-seq data to position nucleosomes. Traditionally, DNase-seq has only been widely used to identify DNase hypersensitive sites, which tend to be open chromatin regulatory regions devoid of nucleosomes. We reveal for the first time that DNase-seq datasets also contain substantial information about nucleosome translational positioning, and that existing DNase-seq data can be used to infer nucleosome positions with high accuracy. We develop a Bayes-factor-based nucleosome scoring method to position nucleosomes using DNase-seq data. Our approach utilizes several effective strategies to extract nucleosome positioning signals from the noisy DNase-seq data, including jointly modeling data points across the nucleosome body and explicitly modeling the quadratic and oscillatory DNase I digestion pattern on nucleosomes. We show that our DNase-seq-based nucleosome map is highly consistent with previous high-resolution maps. We also show that the oscillatory DNase I digestion pattern is useful in revealing the nucleosome rotational context around TF binding sites.

Finally, we present a state-space model (SSM) for jointly modeling different kinds of genomic data to provide an accurate view of the protein-DNA interaction landscape. We also provide an efficient expectation-maximization algorithm to learn model parameters from data. We first show in simulation studies that the SSM can effectively recover underlying true protein binding configurations. We then apply the SSM to model real genomic data (both DNase-seq and MNase-seq data). Through incrementally increasing the types of genomic data in the SSM, we show that different data types can contribute complementary information for the inference of protein binding landscape and that the most accurate inference comes from modeling all available datasets.

This dissertation provides a foundation for future research by taking a step toward the genome-wide inference of protein-DNA interaction landscape through data integration.

Numerical modelling of adsorption of metallic particles on graphite substrate via molecular dynamics simulation

A computer-based numerical modelling of the adsorption process of gas phase metallic particles on the surface of a graphite substrate has been performed via the application of molecular dynamics simulation method. The simulation relates to an extensive STM-based experiment performed in this field, and reproduces part of the experimental results. Both two-body and many-body inter-atomic potentials have been employed. A Morse-type potential describing the metal-carbon interactions at the interface was specifically formulated for this modelling. Intercalation of silver in graphite has been observed as well as the correct alignments of monomers, dimers and two-dimensional islands on the surface. PACS numbers: 02.60.Cb, 07.05.Tp, 68.55.-a, 81.05.Tp

Ghost/Machine: cinema in a digital age

Cinema, with its passive cinematic apparatus and linear narrative is often characterised as a contrast to new media narrative strategies, yet from Vertov’s Man with a Movie Camera to Mike Figgis’ TimeCode and Wong Kar Wei’s 2046 cinema provides narrative strategies and spatial conceptualisations which prefigure or are contiguous with new media environments. Both our perception of what cyberspace constitutes and the technology that actualises those perceptions arise out of and are driven by fantasy and desire. This paper will explore the metaphors used to represent and understand new media aesthetics through cinematic representations of new media environments. Two key themes relevant to new media aesthetics emerge. Irigaray, Haraway, and Grosz are used to explore the de-essentialising haptic and penetrative potential of new technologies and their ability to collapse the boundary between the body and the machine. The second fantasy, of new media as a liminal space that expresses the memorialising function of technology and its relation to mourning, is analysed using Benjamin, Burgin and Rutsky. These altered spaces and perceptions of the body and memory of the post-cinematic subject are illustrated through an analysis of Gondry’s Eternal Sunshine of the Spotless Mind and Jonze’s Being John Malkovich. [From the Author]

Zone based systems design framework for the realisation of efficient block cipher based message authentication code algorithms

A zone based systems design framework is described and utilised in the implementation of a message authentication code (MAC) algorithm based on symmetric key block ciphers. The resulting block cipher based MAC algorithm may be used to provide assurance of the authenticity and, hence, the integrity of binary data. Using software simulation to benchmark against the de facto cipher block chaining MAC (CBC-MAC) variant used in the TinySec security protocol for wireless sensor networks and the NIST cipher block chaining MAC standard, CMAC; we show that our zone based systems design framework can lead to block cipher based MAC constructs that point to improvements in message processing efficiency, processing throughput and processing latency.

Priority research questions for the UK food system

The rise of food security up international political, societal and academic agendas has led to increasing interest in novel means of improving primary food production and reducing waste. There are however, also many 'post-farm gate' activities that are critical to food security, including processing, packaging, distributing, retailing, cooking and consuming. These activities all affect a range of important food security elements, notably availability, affordability and other aspects of access, nutrition and safety. Addressing the challenge of universal food security, in the context of a number of other policy goals (e.g. social, economic and environmental sustainability), is of keen interest to a range of UK stakeholders but requires an up-to-date evidence base and continuous innovation. An exercise was therefore conducted, under the auspices of the UK Global Food Security Programme, to identify priority research questions with a focus on the UK food system (though the outcomes may be broadly applicable to other developed nations). Emphasis was placed on incorporating a wide range of perspectives ('world views') from different stakeholder groups: policy, private sector, non-governmental organisations, advocacy groups and academia. A total of 456 individuals submitted 820 questions from which 100 were selected by a process of online voting and a three-stage workshop voting exercise. These 100 final questions were sorted into 10 themes and the 'top' question for each theme identified by a further voting exercise. This step also allowed four different stakeholder groups to select the top 7-8 questions from their perspectives. Results of these voting exercises are presented. It is clear from the wide range of questions prioritised in this exercise that the different stakeholder groups identified specific research needs on a range of post-farm gate activities and food security outcomes. Evidence needs related to food affordability, nutrition and food safety (all key elements of food security) featured highly in the exercise. While there were some questions relating to climate impacts on production, other important topics for food security (e.g. trade, transport, preference and cultural needs) were not viewed as strongly by the participants.