Fabrication of nanoparticles by short-distance sputter deposition

During the past decades, tremendous research interests have been attracted to investigate nanoparticles due to their promising catalytic, magnetic, and optical properties. In this thesis, two novel methods of nanoparticle fabrication were introduced and the basic formation mechanisms were studied. Metal nanoparticles and polyurethane nanoparticles were separately fabricated by a short-distance sputter deposition technique and a reactive ion etching process. First, a sputter deposition method with a very short target-substrate distance is found to be able to generate metal nanoparticles on the glass substrate inside a RIE chamber. The distribution and morphology of nanoparticles are affected by the distance, the ion concentration and the process time. Densely-distributed nanoparticles of various compositions are deposited on the substrate surface when the target-substrate distance is smaller than 130mm. It is much less than the atoms’ mean free path, which is the threshold in previous research for nanoparticles’ formation. Island structures are formed when the distance is increased to 510mm, indicating the tendency to form continuous thin film. The trend is different from previously-reported sputtering method for nanoparticle fabrication, where longer distance between the target and the substrate facilitates the formation of nanoparticle. A mechanism based on the seeding effect of the substrate is proposed to interpret the experimental results. Secondly, in polyurethane nanoparticles’ fabrication, a mechanism is put forward based on the microphase separation phenomenon in block copolymer thin film. The synthesized polymers have formed dispersed and continuous phases because of the different properties between segments. With harder mechanical property, the dispersed phase is remained after RIE process while the continuous phase is etched away, leading to the formation of nanoparticles on the substrate. The nanoparticles distribution is found to be affected by the heating effect, the process time and the plasma power. Superhydrophilic property is found on samples with these two types of nanoparticles. The relationship between the nanostructure and the hydrophilicity is studied for further potential applications.

The prevalence of widespread central hypersensitivity in chronic pain patients

BACKGROUND Chronic pain is associated with generalized hypersensitivity and impaired endogenous pain modulation (conditioned pain modulation; CPM). Despite extensive research, their prevalence in chronic pain patients is unknown. This study investigated the prevalence and potential determinants of widespread central hypersensitivity and described the distribution of CPM in chronic pain patients. METHODS We examined 464 consecutive chronic pain patients for generalized hypersensitivity and CPM using pressure algometry at the second toe and cold pressor test. Potential determinants of generalized central hypersensitivity were studied using uni- and multivariate regression analyses. Prevalence of generalized central hypersensitivity was calculated for the 5th, 10th and 25th percentile of normative values for pressure algometry obtained by a previous large study on healthy volunteers. CPM was addressed on a descriptive basis, since normative values are not available. RESULTS Depending on the percentile of normative values considered, generalized central hypersensitivity affected 17.5-35.3% of patients. 23.7% of patients showed no increase in pressure pain threshold after cold pressor test. Generalized central hypersensitivity was more frequent and CPM less effective in women than in men. Unclearly classifiable pain syndromes showed higher frequencies of generalized central hypersensitivity than other pain syndromes. CONCLUSIONS Although prevalent in chronic pain, generalized central hypersensitivity is not present in every patient. An individual assessment is therefore required in order to detect altered pain processing. The broad basic knowledge about central hypersensitivity now needs to be translated into concrete clinical consequences, so that patients can be offered an individually tailored mechanism-based treatment.

Energy harvesting through arterial wall deformation: A FEM approach to fluid–structure interactions and magneto-hydrodynamics

Engineers are confronted with the energy demand of active medical implants in patients with increasing life expectancy. Scavenging energy from the patient’s body is envisioned as an alternative to conventional power sources. Joining in this effort towards human-powered implants, we propose an innovative concept that combines the deformation of an artery resulting from the arterial pressure pulse with a transduction mechanism based on magneto-hydrodynamics. To overcome certain limitations of a preliminary analytical study on this topic, we demonstrate here a more accurate model of our generator by implementing a three-dimensional multiphysics finite element method (FEM) simulation combining solid mechanics, fluid mechanics, electric and magnetic fields as well as the corresponding couplings. This simulation is used to optimize the generator with respect to several design parameters. A first validation is obtained by comparing the results of the FEM simulation with those of the analytical approach adopted in our previous study. With an expected overall conversion efficiency of 20% and an average output power of 30 μW, our generator outperforms previous devices based on arterial wall deformation by more than two orders of magnitude. Most importantly, our generator provides sufficient power to supply a cardiac pacemaker.

Spike timing dependent plasticity: a consequence of more fundamental learning rules.

Spike timing dependent plasticity (STDP) is a phenomenon in which the precise timing of spikes affects the sign and magnitude of changes in synaptic strength. STDP is often interpreted as the comprehensive learning rule for a synapse - the "first law" of synaptic plasticity. This interpretation is made explicit in theoretical models in which the total plasticity produced by complex spike patterns results from a superposition of the effects of all spike pairs. Although such models are appealing for their simplicity, they can fail dramatically. For example, the measured single-spike learning rule between hippocampal CA3 and CA1 pyramidal neurons does not predict the existence of long-term potentiation one of the best-known forms of synaptic plasticity. Layers of complexity have been added to the basic STDP model to repair predictive failures, but they have been outstripped by experimental data. We propose an alternate first law: neural activity triggers changes in key biochemical intermediates, which act as a more direct trigger of plasticity mechanisms. One particularly successful model uses intracellular calcium as the intermediate and can account for many observed properties of bidirectional plasticity. In this formulation, STDP is not itself the basis for explaining other forms of plasticity, but is instead a consequence of changes in the biochemical intermediate, calcium. Eventually a mechanism-based framework for learning rules should include other messengers, discrete change at individual synapses, spread of plasticity among neighboring synapses, and priming of hidden processes that change a synapse's susceptibility to future change. Mechanism-based models provide a rich framework for the computational representation of synaptic plasticity.

Linking altered central pain processing and genetic polymorphism to drug efficacy in chronic low back pain.

BACKGROUND Inability to predict the therapeutic effect of a drug in individual pain patients prolongs the process of drug and dose finding until satisfactory pharmacotherapy can be achieved. Many chronic pain conditions are associated with hypersensitivity of the nervous system or impaired endogenous pain modulation. Pharmacotherapy often aims at influencing these disturbed nociceptive processes. Its effect might therefore depend on the extent to which they are altered. Quantitative sensory testing (QST) can evaluate various aspects of pain processing and might therefore be able to predict the analgesic efficacy of a given drug. In the present study three drugs commonly used in the pharmacological management of chronic low back pain are investigated. The primary objective is to examine the ability of QST to predict pain reduction. As a secondary objective, the analgesic effects of these drugs and their effect on QST are evaluated. METHODS/DESIGN In this randomized, double blinded, placebo controlled cross-over study, patients with chronic low back pain are randomly assigned to imipramine, oxycodone or clobazam versus active placebo. QST is assessed at baseline, 1 and 2 h after drug administration. Pain intensity, side effects and patients' global impression of change are assessed in intervals of 30 min up to two hours after drug intake. Baseline QST is used as explanatory variable to predict drug effect. The change in QST over time is analyzed to describe the pharmacodynamic effects of each drug on experimental pain modalities. Genetic polymorphisms are analyzed as co-variables. DISCUSSION Pharmacotherapy is a mainstay in chronic pain treatment. Antidepressants, anticonvulsants and opioids are frequently prescribed in a "trial and error" fashion, without knowledge however, which drug suits best which patient. The present study addresses the important need to translate recent advances in pain research to clinical practice. Assessing the predictive value of central hypersensitivity and endogenous pain modulation could allow for the implementation of a mechanism-based treatment strategy in individual patients. TRIAL REGISTRATION Clinicaltrials.gov, NCT01179828.

Density-dependent dynamics of a dominant rain forest tree change with juvenile stage and time of masting

Although negative density dependence (NDD) can facilitate tree species coexistence in forests, the underlying mechanisms can differ, and rarely are the dynamics of seedlings and saplings studied together. Herein we present and discuss a novel mechanism based on our investigation of NDD predictions for the large, grove-forming ectomycorrhizal mast fruiting tree, Microberlinia bisulcata (Caesalpiniaceae), in an 82.5-ha plot at Korup, Cameroon. We tested whether juvenile density, size, growth and survival decreases with increasing conspecific adult basal area for 3245 ‘new’ seedlings and 540 ‘old’ seedlings (< 75-cm tall) during an approximately 4-year study period (2008–2012) and for 234 ‘saplings’ (≥ 75-cm tall) during an approximately 6-year study period (2008–2014). We found that the respective densities of new seedlings, old seedlings and saplings were positively, not and negatively related to increasing BA. Maximum leaf numbers and heights of old seedlings were negatively correlated with increasing basal areas, as were sapling heights and stem diameters. Whereas survivorship of new seedlings decreased by more than one-half with increasing basal area over its range in 2010–2012, that of old seedlings decreased by almost two-thirds, but only in 2008–2010, and was generally unrelated to conspecific seedling density. In 2010–2012 relative growth rates in new seedlings’ heights decreased with increasing basal area, as well as with increasing seedling density, together with increasing leaf numbers, whereas old seedlings’ growth was unrelated to either conspecific density or basal area. Saplings of below-average height had reduced survivorship with increasing basal area (probability decreasing from approx. 0.4 to 0.05 over the basal area range tested), but only sapling growth in terms of leaf numbers decreased with increasing basal area. These static and dynamic results indicate that NDD is operating within this system, possibly stabilizing the M. bisulcata population. However, these NDD patterns are unlikely to be caused by symmetric competition or by consumers. Instead, an alternative mechanism for conspecific adult–juvenile negative feedback is proposed, one which involves the interaction between tree phenology and ectomycorrhizal linkages.

Functional studies of insulin-like growth factor binding protein 2 pathway in glioma progression

Comparison of gene expressing profiles between gliomas with different grades revealed frequent overexpression of insulin-like growth factor binding protein 2 (IGFBP2) in glioblastomas (GBM), in which uncontrolled cell proliferation, angiogenesis, invasion and anti-apoptosis are hallmarks. Using the glia-specific gene transfer transgenic mouse and the stable LN229(BP2) GBM cell lines, we found that IGFBP2 by itself cannot transform cells in vitro and in vivo. IGFBP2 had growth inhibitory effects on mouse primary neural progenitors, but overexpression of IGFBP2 had no effect on GBM cells. ^ Although IGFBP2 does not initiate gliomagenesis, using tissue array technology, we observed strong correlation between IGFBP2 overexpression and VEGF up-regulation in human diffuse gliomas. Furthermore, overexpression of IGFBP2 in GBM cells not only enhanced VEGF expression but also increased the malignant potential of U87 MG cells in our angiogenesis xenograft animal model. ^ In parallel to these studies, using established stable SNB19 GBM cells that overexpress IGFBP2, we found that IGFBP2 significantly increased invasion by induction of matrix metalloproteinase-2 (MMP-2) as well as other invasion related genes, providing evidence that IGFBP2 contributes to glioma progression in part by enhancing MMP-2 gene transcription and in turn tumor cell invasion. ^ Finally, we found that primary filial cells infected with an anti-sense IGFBP2 construct have markedly increased sensitivity to γ irradiation and reduced Akt activation. On the other hand, SNB19(BP2) stable lines have consistently increased levels of Akt and NFkB activation, suggesting that one possible mechanism for anti-apoptosic function of IGFBP2 is through the activation of Akt and NFkB. Beside this, what is especially interesting is the finding that Akt protein was cleaved and inactivated during apoptosis by caspases, and IGFBP2 can prevent Akt cleavage, revealing another possible mechanism through it IGFBP2 exhibit strong antiapoptotic effects. Our data showed that IGFBP2 is a specific substrate for caspase-3, raising the possibility that IGFBP2 may inhibit apoptosis by a suicide mechanism. ^ In summary, using cellular, genomics, and molecular approaches, this thesis documented the potential roles of IGFBP2 in glioma progression. Our findings shed light on an important biological aspect of glioma progression and may provide new insights useful for the design of novel mechanism-based therapies for GBM. ^

Regulation of the heat shock response by thiol-reactive compounds in the yeast Saccharomyces cerevisiae

Cells govern their activities and modulate their interactions with the environment to achieve homeostasis. The heat shock response (HSR) is one of the most well studied fundamental cellular responses to environmental and physiological challenges, resulting in rapid synthesis of heat shock proteins (HSPs), which serve to protect cellular constituents from the deleterious effects of stress. In addition to its role in cytoprotection, the HSR also influences lifespan and is associated with a variety of human diseases including cancer, aging and neurodegenerative disorders. In most eukaryotes, the HSR is primarily mediated by the highly conserved transcription factor HSF1, which recognizes target hsp genes by binding to heat shock elements (HSEs) in their promoters. In recent years, significant efforts have been made to identify small molecules as potential pharmacological activators of HSF1 that could be used for therapeutic benefit in the treatment of human diseases relevant to protein conformation. However, the detailed mechanisms through which these molecules drive HSR activation remain unclear. In this work, I utilized the baker's yeast Saccharomyces cerevisiae as a model system to identify a group of thiol-reactive molecules including oxidants, transition metals and metalloids, and electrophiles, as potent activators of yeast Hsf1. Using an artificial HSE-lacZ reporter and the glucocorticoid receptor system (GR), these diverse thiol-reactive compounds are shown to activate Hsf1 and inhibit Hsp90 chaperone complex activity in a reciprocal, dose-dependent manner. To further understand whether cells sense these reactive compounds through accumulation of unfolded proteins, the proline analog azetidine-2-carboxylic acid (AZC) and protein cross-linker dithiobis(succinimidyl propionate) (DSP) were used to force misfolding of nascent polypeptides and existing cytosolic proteins, respectively. Both unfolding reagents display kinetic HSP induction profiles dissimilar to those generated by thiol-reactive compounds. Moreover, AZC treatment leads to significant cytotoxicity, which is not observed in the presence of the thiol-reactive compounds at the concentrations sufficient to induce Hsf1. Additionally, DSP treatment has little to no effect on Hsp90 functions. Together with the ultracentrifugation analysis of cell lysates that detected no insoluble protein aggregates, my data suggest that at concentrations sufficient to induce Hsf1, thiol-reactive compounds do not induce the HSR via a mechanism based on accumulation of unfolded cytosolic proteins. Another possibility is that thiol-reactive compounds may influence aspects of the protein quality control system such as the ubiquitin-proteasome system (UPS). To address this hypothesis, β-galactosidase reporter fusions were used as model substrates to demonstrate that thiol-reactive compounds do not inhibit ubiquitin activating enzymes (E1) or proteasome activity. Therefore, thiol-reactive compounds do not activate the HSR by inhibiting UPS-dependent protein degradation. I therefore hypothesized that these molecules may directly inactivate protein chaperones, known as repressors of Hsf1. To address this possibility, a thiol-reactive biotin probe was used to demonstrate in vitro that the yeast cytosolic Hsp70 Ssa1, which partners with Hsp90 to repress Hsf1, is specifically modified. Strikingly, mutation of conserved cysteine residues in Ssa1 renders cells insensitive to Hsf1 activation by cadmium and celastrol but not by heat shock. Conversely, substitution with the sulfinic acid and steric bulk mimic aspartic acid led to constitutive activation of Hsf1. Cysteine 303, located in the nucleotide-binding/ATPase domain of Ssa1, was shown to be modified in vivo by a model organic electrophile using Click chemistry technology, verifying that Ssa1 is a direct target for thiol-reactive compounds through adduct formation. Consistently, cadmium pretreatment promoted cells thermotolerance, which is abolished in cells carrying SSA1 cysteine mutant alleles. Taken together, these findings demonstrate that Hsp70 acts as a sensor to induce the cytoprotective heat shock response in response to environmental or endogenously produced thiol-reactive molecules and can discriminate between two distinct environmental stressors.

Modulation of cytochrome P450 enzyme activity and PAH -induced skin carcinogenesis by naturally occurring coumarins

The present study was designed to determine the potential anticarcinogenic activity of naturally occurring coumarins and their mechanism of action. The results indicated that several naturally occurring coumarins including bergamottin, coriandrin, imperatorin, isopimpinellin, and ostruthin, to which humans are routinely exposed in the diet, were effective inhibitors and/or inactivators of CYP1A1-mediated ethoxyresorufin-O-dealkylase (EROD) or CYP2B1-mediated pentoxyresorufin-O-dealkylase (PROD) in mouse liver microsomes. In addition, bergamottin and corandrin were also found to be inhibitors of purified human P450 1A1 in vitro. Further studies with coriandrin revealed that this compound was a mechanism-based inactivator of P450 1A1 and covalently bound to the P450 1A1 apoprotein. In cultured mouse keratinocytes, bergamottin and coriandrin effectively inhibited the B(a) P metabolism and significantly decreased covalent binding of B(a) P and DMBA to keratinocyte DNA and anti-diol-epoxide-DNA adducts derived from both B(a) P and DMBA in keratinocytes. The data from in vivo experiments showed that bergamottin and coriandrin were potent inhibitors of covalent binding of B (a) P to epidermal DNA and the formation of (+) anti BPDE-DNA adduct, whereas imperatorin and isopimpinellin were more potent inhibitors of covalent binding of DMBA to epidermal DNA. The ability of coumarins to inhibit covalent binding of B (a) P to DNA in mouse epidermis was positively correlated with their inhibitory effect P450 1A1 in vitro, while the inhibitory effect of coumarins on covalent binding of DMBA to epidermal DNA was positively correlated with their inhibitory effects on P450 2B1 and negatively to their inhibitory activity toward P450 1A1. The data from tumor experiments indicated that bergamottin, ostruthin, and coriandrin inhibited tumor initiation by B (a) P in a two-stage carcinogenesis protocol. Bergamottin was most effective in this regard and produced a dose dependent inhibition of papilloma formation in these experiments. In addition, imperatorin was an effective inhibitor of skin tumorigenesis induced by DMBA in SENCAR mouse skin using both a two-stage and a complete carcinogenesis protocol. At dose levels higher than those effective against DMBA, imperatorin also inhibited tumor initiation by B (a) P. The results to date demonstrate that several naturally occurring coumarins possess the ability to block tumor initiation and tumorigenesis by PAHs such as B (a) P and DMBA through inhibition of the P450s involved in the metabolic activation of these hydrocarbons. A working model for the involvement of specific P450s in the metabolic activation of these two PAHs was proposed. ^

Circumvention of cellular defense responses to DNA -directed nucleoside analogues by the protein kinase inhibitor, UCN-01

DNA-directed nucleoside analogues, such as ara-C, fludarabine, and gemcitabine, are antimetabolites effective in the treatment of a variety of cancers. However, resistance to nucleoside analogue-based chemotherapy in treatments is still a major problem in therapy. Therefore, it is essential to develop rationales for optimizing the use of nucleoside analogues in combination with other anticancer drugs or modalities such as radiation. The present study focuses on establishing mechanism-based combination strategy to overcome resistance to nucleoside analogues. ^ I hypothesized that the cytostatic concentrations of nucleoside analogues may cause S-phase arrest by activating an S-phase checkpoint that consists of a series of kinases. This may allow cells to repair damaged DNA over time and spare cytotoxicity. Thus, the ability of cells to enact an S-phase arrest in response to incorporation of potentially lethal amounts of nucleoside analogue may serve as a mechanism of resistance to S-phase-specific agents. As a corollary, the addition of a kinase inhibitor, such as UCN-01, may dysregulate the checkpoint response and abrogate the survival of S-phase-arrested cells by suppression of the survival signaling pathways. Using gemcitabine as a model of S-phase-specific nucleoside analogues in human acute myelogenous leukemia ML-1 cells, I demonstrated that cells arrested in S-phase in response to cytostatic conditions. Proliferation continued after washing the cells into drug-free medium, suggesting S-phase arrest served as a resistance mechanism of cancer cells to spare cytotoxicity of nucleoside analogues. However, nontoxic concentrations of UCN-01 rapidly killed S-phase-arrested cells by apoptosis. Furthermore, the molecular mechanism for UCN-01-induced apoptosis in S-phase-arrested cells was through inhibition of survival pathways associated with these cells. In this regard, suppression of the PI 3-kinase-Akt-Bad survival pathway as well as the NF-κB signaling pathway were associated with induction of apoptosis in S-phase-arrested cells by UCN-01, whereas the Ras-Raf-MEK-ERK pathway appeared not involved. This study has provided the rationales and strategies for optimizing the design of effective combination therapies to overcome resistance to nucleoside analogues. In fact, a clinical trial of the combination of ara-C with UCN-01 to treat relapsed or refractory AML patients has been initiated at U.T.M.D. Anderson Cancer Center. ^

Lightweight compilation of (C)LP to JavaScript

We present and evaluate a compiler from Prolog (and extensions) to JavaScript which makes it possible to use (constraint) logic programming to develop the client side of web applications while being compliant with current industry standards. Targeting JavaScript makes (C)LP programs executable in virtually every modern computing device with no additional software requirements from the point of view of the user. In turn, the use of a very high-level language facilitates the development of high-quality, complex software. The compiler is a back end of the Ciao system and supports most of its features, including its module system and its rich language extension mechanism based on packages. We present an overview of the compilation process and a detailed description of the run-time system, including the support for modular compilation into separate JavaScript code. We demonstrate the maturity of the compiler by testing it with complex code such as a CLP(FD) library written in Prolog with attributed variables. Finally, we validate our proposal by measuring the performance of some LP and CLP(FD) benchmarks running on top of major JavaScript engines.

MEDVIR: 3D visual interface applied to gene profile analisys.

The origins for this work arise in response to the increasing need for biologists and doctors to obtain tools for visual analysis of data. When dealing with multidimensional data, such as medical data, the traditional data mining techniques can be a tedious and complex task, even to some medical experts. Therefore, it is necessary to develop useful visualization techniques that can complement the expert’s criterion, and at the same time visually stimulate and make easier the process of obtaining knowledge from a dataset. Thus, the process of interpretation and understanding of the data can be greatly enriched. Multidimensionality is inherent to any medical data, requiring a time-consuming effort to get a clinical useful outcome. Unfortunately, both clinicians and biologists are not trained in managing more than four dimensions. Specifically, we were aimed to design a 3D visual interface for gene profile analysis easy in order to be used both by medical and biologist experts. In this way, a new analysis method is proposed: MedVir. This is a simple and intuitive analysis mechanism based on the visualization of any multidimensional medical data in a three dimensional space that allows interaction with experts in order to collaborate and enrich this representation. In other words, MedVir makes a powerful reduction in data dimensionality in order to represent the original information into a three dimensional environment. The experts can interact with the data and draw conclusions in a visual and quickly way.

MedVir: 3D visual interface applied to gene profile analysis

The use of data mining techniques for the gene profile discovery of diseases, such as cancer, is becoming usual in many researches. These techniques do not usually analyze the relationships between genes in depth, depending on the different variety of manifestations of the disease (related to patients). This kind of analysis takes a considerable amount of time and is not always the focus of the research. However, it is crucial in order to generate personalized treatments to fight the disease. Thus, this research focuses on finding a mechanism for gene profile analysis to be used by the medical and biologist experts. Results: In this research, the MedVir framework is proposed. It is an intuitive mechanism based on the visualization of medical data such as gene profiles, patients, clinical data, etc. MedVir, which is based on an Evolutionary Optimization technique, is a Dimensionality Reduction (DR) approach that presents the data in a three dimensional space. Furthermore, thanks to Virtual Reality technology, MedVir allows the expert to interact with the data in order to tailor it to the experience and knowledge of the expert.

Estudio y diseño de un régimen fiscal que optimice la inversión en exploración y producción de hidrocarburos

Los regímenes fiscales que se aplican a los contratos de exploración y desarrollo de petróleo y gas, entre los propietarios del recurso natural (generalmente el país soberano representado por su gobierno) y las compañías operadoras internacionales (COI) que aportan capital, experiencia y tecnología, no han sabido responder a la reciente escalada de los precios del crudo y han dado lugar a que los países productores no estén recibiendo la parte de renta correspondiente al incremento de precios. Esto ha provocado una ola de renegociaciones llegándose incluso a la imposición unilateral de nuevos términos por parte de algunos gobiernos entre los que destacan el caso de Venezuela y Argentina, por ser los más radicales. El objetivo del presente trabajo es el estudio y diseño de un régimen fiscal que, en las actuales condiciones del mercado, consiga que los gobiernos optimicen sus ingresos incentivando la inversión. Para ello se simulan los efectos de siete tipos diferentes de fiscalidades aplicadas a dos yacimientos de características muy distintas y se valoran los resultados. El modelo utilizado para la simulación es el modelo de escenarios, ampliamente utilizado tanto por la comunidad académica como por la industria para comparar el comportamiento de diferentes regímenes fiscales. Para decidir cuál de las fiscalidades estudiadas es la mejor se emplea un método optimización multicriterio. Los criterios que se han aplicado para valorar los resultados recogen la opinión de expertos de la industria sobre qué factores se consideran deseables en un contrato a la hora invertir. El resultado permite delinear las características de un marco fiscal ideal del tipo acuerdo de producción compartida, sin royalties, con un límite alto de recuperación de crudo coste que permita recobrar todos los costes operativos y una parte de los de capital en cualquier escenario de precios, un reparto de los beneficios en función de un indicador de rentabilidad como es la TIR, con un mecanismo de recuperación de costes adicional (uplift) que incentive la inversión y con disposiciones que premien la exploración y más la de alto riesgo como la amortización acelerada de los gastos de capital o una ampliación de la cláusula de ringfence. Un contrato con estas características permitirá al gobierno optimizar los ingresos obtenidos de sus reservas de petróleo y gas maximizando la producción al atraer inversión para la exploración y mejorar la recuperación alargando la vida del yacimiento. Además al reducir el riesgo percibido por el inversor que recupera sus costes, menor será la rentabilidad exigida al capital invertido y por tanto mayor la parte de esos ingresos que irá a parar al gobierno del país productor. ABSTRACT Fiscal systems used in petroleum arrangements between the owners of the resource (usually a sovereign country represented by its government) and the international operating company (IOC) that provides capital, knowhow and technology, have failed to allocate profits from the recent escalation of oil prices and have resulted in producing countries not receiving the right share of that increase. This has caused a wave of renegotiations and even in some cases, like Venezuela and Argentina, government unilaterally imposed new terms. This paper aims to outline desirable features of a petroleum fiscal system, under current market conditions, for governments to maximize their revenues while encouraging investment. Firstly the impact of seven different types of fiscal regimes is studied with a simulation for two separate oil fields using the scenario approach. The scenario approach has been frequently employed by academic and business researchers to compare the performance of diverse fiscal regimes. In order to decide which of the fiscal regimes’ performance is best we used a multi-objective optimization decision making approach to assess the results. The criteria applied gather the preferences of a panel of industry experts about the desirable features of a contract when making investment decisions. The results show the characteristics of an ideal fiscal framework that closely resembles a production sharing contract, with no royalty payment and a high cost recovery limit that allows the IOC to recover all operating expenses and a share of its capital costs under any price scenario, a profit oil sharing mechanism based on a profitability indicator such as the ROR, with an uplift that allows to recover an additional percentage of capital costs and provisions that promote exploration investment, specially high-risk exploration, such as accelerated depreciation for capital costs and a wide definition of the ringfence clause. A contract with these features will allow governments to optimize overall revenues from its petroleum resources maximizing production by promoting investment on exploration and extending oil fields life. Also by reducing the investor’s perception of risk it will reduce the minimum return to capital required by the IOC and therefore it will increase the government share of those revenues.

Making chemistry selectable by linking it to infectivity

The link between recognition and replication is fundamental to the operation of the immune system. In recent years, modeling this process in a format of phage-display combinatorial libraries has afforded a powerful tool for obtaining valuable antibodies. However, the ability to readily select and isolate rare catalysts would expand the scope of library technology. A technique in which phage infection controlled the link between recognition and replication was applied to show that chemistry is a selectable process. An antibody that operated by covalent catalysis to form an acyl intermediate restored phage infectivity and allowed selection from a library in which the catalyst constituted 1 in 105 members. Three different selection approaches were examined for their convenience and generality. Incorporating these protocols together with well known affinity labels and mechanism-based inactivators should allow the procurement of a wide range of novel catalytic antibodies.