Reproducing the organic matter model of anthropogenic dark earth of Amazonia and testing the ecotoxicity of functionalized charcoal compounds

The objective of this work was to obtain organic compounds similar to the ones found in the organic matter of anthropogenic dark earth of Amazonia (ADE) using a chemical functionalization procedure on activated charcoal, as well as to determine their ecotoxicity. Based on the study of the organic matter from ADE, an organic model was proposed and an attempt to reproduce it was described. Activated charcoal was oxidized with the use of sodium hypochlorite at different concentrations. Nuclear magnetic resonance was performed to verify if the spectra of the obtained products were similar to the ones of humic acids from ADE. The similarity between spectra indicated that the obtained products were polycondensed aromatic structures with carboxyl groups: a soil amendment that can contribute to soil fertility and to its sustainable use. An ecotoxicological test with Daphnia similis was performed on the more soluble fraction (fulvic acids) of the produced soil amendment. Aryl chloride was formed during the synthesis of the organic compounds from activated charcoal functionalization and partially removed through a purification process. However, it is probable that some aryl chloride remained in the final product, since the ecotoxicological test indicated that the chemical functionalized soil amendment is moderately toxic.

Granulocyte macrophage colony stimulating factor improves mucosal repair in a mouse model of acute colitis (P278)

Background and Aims: Granulocyte-macrophage colonystimulating factor (GM-CSF), a cytokine modulating the number and function of innate immune cells, has been shown to provide symptomatic benefit in some patients with Crohn's disease (CD). Since, it becomes widely appreciated that a timely and spatially regulated action of innate immune cells is critical for tissue regeneration, we tested whether GM-CSF therapy may favours intestinal mucosal repair in the acute mouse model of dextran sulfate sodium (DSS)-induced colitis. Methods: Mice treated with GM-CSF or saline were exposed for 7 days to DSS to induce colitis. On day 5, 7 and 10, mice were subjected to colonoscopy or sacrificed for evaluation of inflammatory reaction and mucosal healing. Results: GM-CSF therapy prevented body weight loss, diarrhea, dampened inflammatory reactions and ameliorated mucosal damages. Mucosal repair improvement in GM-CSF-treated mice was observed from day 7 on both by colonoscopy (ulceration score 1.2}0.3 (GM-CSF-treated) vs 3.1}0.5 (untreated), p = 0.01) and histological analysis (percentage of reepithelialized ulcers 55%}4% (GM-CSF-treated) vs 18%}13% (untreated), p = 0.01). GM-CSF therapy can still improve the colitis when hematopoietic, but not non-hematopoietic cells, are responsive to GM-CSF, as shown in WT→GM-CSFRKO chimeras. Lastly, we observed that GM-CSF-induced promotion of wound healing is associated with a modification of the cellular composition of DSS-induced colonic inflammatory infiltrate, characterized by the reduction of neutrophil numbers and early accumulation of CD11b+Gr1lo myeloid cells. Conclusion: Our study shows that GM-CSF therapy accelerates the complex program leading to tissue repair during acute colitis and suggests that GM-CSF promotion of mucosal repair might contribute to the symptomatic benefits of GM-CSF therapy observed in some CD patients.

Investigating the relationship between pollination strategies and the size-advantage model in zoophilous plants using the reproductive biology of Arum cylindraceum and other European Arum species as case studies

The size-advantage model (SAM) explains the temporal variation of energetic investment on reproductive structures (i.e. male and female gametes and reproductive organs) in long-lived hermaphroditic plants and animals. It proposes that an increase in the resources available to an organism induces a higher relative investment on the most energetically costly sexual structures. In plants, pollination interactions are known to play an important role in the evolution of floral features. Because the SAM directly concerns flower characters, pollinators are expected to have a strong influence on the application of the model. This hypothesis, however, has never been tested. Here, we investigate whether the identity and diversity of pollinators can be used as a proxy to predict the application of the SAM in exclusive zoophilous plants. We present a new approach to unravel the dynamics of the model and test it on several widespread Arum (Araceae) species. By identifying the species composition, abundance and spatial variation of arthropods trapped in inflorescences, we show that some species (i.e. A. cylindraceum and A. italicum) display a generalist reproductive strategy, relying on the exploitation of a low number of dipterans, in contrast to the pattern seen in the specialist A. maculatum (pollinated specifically by two fly species only). Based on the model presented here, the application of the SAM is predicted for the first two and not expected in the latter species, those predictions being further confirmed by allometric measures. We here demonstrate that while an increase in the female zone occurs in larger inflorescences of generalist species, this does not happen in species demonstrating specific pollinators. This is the first time that this theory is both proposed and empirically tested in zoophilous plants. Its overall biological importance is discussed through its application in other non-Arum systems.

Bactericidal synergism between daptomycin and the phage lysin Cpl-1 in a mouse model of pneumococcal bacteraemia.

Combination therapy may improve the outcome of Streptococcus pneumoniae-induced bacteraemia. Here we tested the combination of two antipneumococcal agents, daptomycin and Cpl-1 (the pneumococcal Cp-1 bacteriophage lysin), in a mouse model of pneumococcal bacteraemia. Mice were challenged intraperitoneally (i.p.) with 10(6)CFU of the extremely virulent serotype 2 S. pneumoniae D39 isolate. Subtherapeutic doses of daptomycin (0.4mg/kg) and Cpl-1 (0.4mg/kg and 1mg/kg) were administrated i.p. either alone or in combination by a single bolus injection 1h after bacterial challenge. Survival rates of animals were followed over a period of 7 days. Daptomycin (0.4mg/kg) in combination with Cpl-1 (0.4mg/kg) significantly increased the percentage of surviving mice at Day 7 (80%) compared with the untreated control (0%) and daptomycin or Cpl-1 monotherapy (35% and 0%, respectively). Whilst increasing the concentration of Cpl-1 to 1.0mg/kg did not improve survival when injected alone, its combination with 0.4mg/kg daptomycin further increased the survival rate to 95%. Thus, it was found that the combination of daptomycin with Cpl-1 was synergistic and bactericidal against S. pneumoniae in a mouse model of pneumococcal bacteraemia. To our knowledge, this is the first report of synergism between daptomycin and a phage lysin demonstrated in vivo. Such a combination could represent an interesting alternative therapy for the treatment of pneumococcal bacteraemia/sepsis and possibly other severe pneumococcal infections.

Toward a novel forensic intelligence model: systematic profiling of false identity documents

False identity documents represent a serious threat through their production and use in organized crime and by terrorist organizations. The present-day fight against this criminal problem and threats to national security does not appropriately address the organized nature of this criminal activity, treating each fraudulent document on its own during investigation and the judicial process, which causes linkage blindness and restrains the analysis capacity. Given the drawbacks of this case-by-case approach, this article proposes an original model in which false identity documents are used to inform a systematic forensic intelligence process. The process aims to detect links, patterns, and tendencies among false identity documents in order to support strategic and tactical decision making, thus sustaining a proactive intelligence-led approach to fighting identity document fraud and the associated organized criminality. This article formalizes both the model and the process, using practical applications to illustrate its powerful capabilities. This model has a general application and can be transposed to other fields of forensic science facing similar difficulties.

Validation of a model to predict adverse outcomes in patients with pulmonary embolism.

AIMS: To validate a model for quantifying the prognosis of patients with pulmonary embolism (PE). The model was previously derived from 10 534 US patients. METHODS AND RESULTS: We validated the model in 367 patients prospectively diagnosed with PE at 117 European emergency departments. We used baseline data for the model's 11 prognostic variables to stratify patients into five risk classes (I-V). We compared 90-day mortality within each risk class and the area under the receiver operating characteristic curve between the validation and the original derivation samples. We also assessed the rate of recurrent venous thrombo-embolism and major bleeding within each risk class. Mortality was 0% in Risk Class I, 1.0% in Class II, 3.1% in Class III, 10.4% in Class IV, and 24.4% in Class V and did not differ between the validation and the original derivation samples. The area under the curve was larger in the validation sample (0.87 vs. 0.78, P=0.01). No patients in Classes I and II developed recurrent thrombo-embolism or major bleeding. CONCLUSION: The model accurately stratifies patients with PE into categories of increasing risk of mortality and other relevant complications. Patients in Risk Classes I and II are at low risk of adverse outcomes and are potential candidates for outpatient treatment.

Using tools to help cost estimating and pricing: examination of costing model's and cost breakdown's workability and their capability to cooperative work

Tämä diplomityö käsittelee työkaluja, jotka on suunniteltu kustannusten ennakointiin ja hinnan asetantaan. Aluksi on käyty läpi perinteisen ja toimintoperusteisen kustannuslaskennan perusteita. Näiden menetelmien välisiä eroja on tarkasteltu ja toimintoperusteisen kustannuslaskennan paremmin sopivuus nykypäivän yrityksille on perusteltu. Toisena käsitellään hinnoittelu. Hinnan merkitys, hinnoittelumenetelmät ja päätös lopullisesta hinnasta on käyty läpi. Hinnoittelun jälkeen esitellään kustannusjärjestelmät ja kustannusten arviointi. Nämä asiat todistavat, että tarkat kustannusarviot ovat elintärkeitä yritykselle. Tuotteen kustannusarviointi, hinnan asetanta ja tarjoaminen ovat erittäin merkityksellisiä asioita ottaen huomioon koko projektin elinkaaren ja tulevat tuotot. Nykyään on yleistä käyttää työkaluja kustannusarvioinnissa ja joskus myös hinnoittelussa. Työkalujen luotettavuus on tiedettävä, ennenkuin työkalut otetaan käyttöön. Myös työkalujen käyttäjät täytyy perehdyttää hyvin. Muuten yritys todennäköisesti kohtaa odottamattomia ja epämiellyttäviä yllätyksiä.

Model per a categoritzar les bones estratègies en estimació, en numeració i càlcul emprades pels infans en acabar l'educació primària

L' estimació, per la inexactitud i l'aparent manca de rigor que comporta, ha estat, i encara continua essent, un contingut deixat de banda en els curriculums escolars, entestats fins fa poc temps a presentar una matematica exacta, tancada, acabada, plena de normes i poc flexible. En canvi, nosaltres el considerem un contingut de primer ordre i d'importancia cabdal. Consequència d'aquesta poca consideració curricular és la manca del domini d'estrategies d'estimació en numeració i calcul, per part de l'alumnat, que hem constatat durant anys en diferents nivells educatius. Aquest informe resumeix una part, la determinació dels tipus i categories d'estratègies acceptables, d'un treball de tesi doctoral que consta de dues parts principals: la creació i validació d'un test per analitzar quatre ambits d'estimació en numeració i càlcul i una segona part experimental que suposa l'aplicació dels instruments de mesura a una mostra per poder esbrinar, a partir de les respostes dels infants, els tipus dlestratPgies, de dificultats i d'errors. Posteriorment, s'arriba a establir categories perla tots tres i concloure amb orientacions didhctiques que redundin en la millora de la competencia numerica dels estudiants a partir d'una adequada instrucció a l'aula.

The Besançon Galaxy Model renewed. I. Constraints on the Galactic thin disc evolution from Tycho data

Context. The understanding of Galaxy evolution can be facilitated by the use of population synthesis models, which allow to test hypotheses on the star formation history, star evolution, as well as chemical and dynamical evolution of the Galaxy. Aims. The new version of the Besanc¸on Galaxy Model (hereafter BGM) aims to provide a more flexible and powerful tool to investigate the Initial Mass Function (IMF) and Star Formation Rate (SFR) of the Galactic disc. Methods. We present a new strategy for the generation of thin disc stars which assumes the IMF, SFR and evolutionary tracks as free parameters. We have updated most of the ingredients for the star count production and, for the first time, binary stars are generated in a consistent way. We keep in this new scheme the local dynamical self-consistency as in Bienayme et al (1987). We then compare simulations from the new model with Tycho-2 data and the local luminosity function, as a first test to verify and constrain the new ingredients. The effects of changing thirteen different ingredients of the model are systematically studied. Results. For the first time, a full sky comparison is performed between BGM and data. This strategy allows to constrain the IMF slope at high masses which is found to be close to 3.0, excluding a shallower slope such as Salpeter"s one. The SFR is found decreasing whatever IMF is assumed. The model is compatible with a local dark matter density of 0.011 M pc−3 implying that there is no compelling evidence for significant amount of dark matter in the disc. While the model is fitted to Tycho2 data, a magnitude limited sample with V<11, we check that it is still consistent with fainter stars. Conclusions. The new model constitutes a new basis for further comparisons with large scale surveys and is being prepared to become a powerful tool for the analysis of the Gaia mission data.

Strategies and tools for preventing neurotoxicity: to test, to predict and how to do it

A change in paradigm is needed in the prevention of toxic effects on the nervous system, moving from its present reliance solely on data from animal testing to a prediction model mostly based on in vitro toxicity testing and in silico modeling. According to the report published by the National Research Council (NRC) of the US National Academies of Science, high-throughput in vitro tests will provide evidence for alterations in"toxicity pathways" as the best possible method of large scale toxicity prediction. The challenges to implement this proposal are enormous, and provide much room for debate. While many efforts address the technical aspects of implementing the vision, many questions around it need also to be addressed. Is the overall strategy the only one to be pursued? How can we move from current to future paradigms? Will we ever be able to reliably model for chronic and developmental neurotoxicity in vitro? This paper summarizes four presentations from a symposium held at the International Neurotoxicology Conference held in Xi"an, China, in June 2011. A. Li reviewed the current guidelines for neurotoxicity and developmental neurotoxicity testing, and discussed the major challenges existing to realize the NCR vision for toxicity testing. J. Llorens reviewed the biology of mammalian toxic avoidance in view of present knowledge on the physiology and molecular biology of the chemical senses, taste and smell. This background information supports the hypothesis that relating in vivo toxicity to chemical epitope descriptors that mimic the chemical encoding performed by the olfactory system may provide a way to the long term future of complete in silico toxicity prediction. S. Ceccatelli reviewed the implementation of rodent and human neural stem cells (NSCs) as models for in vitro toxicity testing that measures parameters such as cell proliferation, differentiation and migration. These appear to be sensitive endpoints that can identify substances with developmental neurotoxic potential. C. Sun ol reviewed the use of primary neuronal cultures in testing for neurotoxicity of environmental pollutants, including the study of the effects of persistent exposures and/or in differentiating cells, which allow recording of effects that can be extrapolated to human developmental neurotoxicity.

Limited role of the c-Jun N-terminal kinase pathway in a neonatal rat model of cerebral hypoxia-ischemia

D-JNKI1, a cell-permeable peptide inhibitor of the c-Jun N-terminal kinase (JNK) pathway, has been shown to be a powerful neuroprotective agent after focal cerebral ischemia in adult mice and young rats. We have investigated the potential neuroprotective effect of D-JNKI1 and the involvement of the JNK pathway in a neonatal rat model of cerebral hypoxia-ischemia. Seven-day-old rats underwent a permanent ligation of the right common carotid artery followed by 2h of hypoxia (8% oxygen). Treatment with D-JNKI1 (0.3mg/kg intraperitoneally) significantly reduced early calpain activation, late caspase-3 activation and, in the thalamus, autophagosome formation, indicating an involvement of JNK in different types of cell death: necrotic, apoptotic and autophagic. However the size of the lesion was unchanged. Further analysis showed that neonatal hypoxia-ischemia induced an immediate decrease in JNK phosphorylation (reflecting mainly P-JNK1) followed by a slow progressive increase (including P-JNK3 54kDa), whereas c-jun and c-fos expression were both strongly activated immediately after hypoxia-ischemia. In conclusion, unlike in adult ischemic models, JNK is only moderately activated after severe cerebral hypoxia-ischemia in neonatal rats and the observed positive effects of D-JNKI1 are insufficient to give neuroprotection. Thus, for perinatal asphyxia, D-JNKI1 can only be considered in association with other therapies.

The anticancer drug tamoxifen counteracts the pathology in a mouse model of duchenne muscular dystrophy.

Duchenne muscular dystrophy (DMD) is a severe disorder characterized by progressive muscle wasting,respiratory and cardiac impairments, and premature death. No treatment exists so far, and the identification of active substances to fight DMD is urgently needed. We found that tamoxifen, a drug used to treat estrogen-dependent breast cancer, caused remarkable improvements of muscle force and of diaphragm and cardiac structure in the mdx(5Cv) mouse model of DMD. Oral tamoxifen treatment from 3 weeks of age for 15 months at a dose of 10 mg/kg/day stabilized myofiber membranes, normalized whole body force, and increased force production and resistance to repeated contractions of the triceps muscle above normal values. Tamoxifen improved the structure of leg muscles and diminished cardiac fibrosis by~ 50%. Tamoxifen also reduced fibrosis in the diaphragm, while increasing its thickness,myofiber count, and myofiber diameter, thereby augmenting by 72% the amount of contractile tissue available for respiratory function. Tamoxifen conferred a markedly slower phenotype to the muscles.Tamoxifen and its metabolites were present in nanomolar concentrations in plasma and muscles,suggesting signaling through high-affinity targets. Interestingly, the estrogen receptors ERa and ERb were several times more abundant in dystrophic than in normal muscles, and tamoxifen normalized the relative abundance of ERb isoforms. Our findings suggest that tamoxifen might be a useful therapy for DMD.

Effect of n-3 fatty acids on markers of brain injury and incidence of sepsis-associated delirium in septic patients.

BACKGROUND: Data regarding immunomodulatory effects of parenteral n-3 fatty acids in sepsis are conflicting. In this study, the effect of administration of parenteral n-3 fatty acids on markers of brain injury, incidence of sepsis-associated delirium, and inflammatory mediators in septic patients was investigated. METHODS: Fifty patients with sepsis were randomized to receive either 2 ml/kg/day of a lipid emulsion containing highly refined fish oil (equivalent to n-3 fatty acids 0.12 mg/kg/day) during 7 days after admission to the intensive care unit or standard treatment. Markers of brain injury and inflammatory mediators were measured on days 1, 2, 3 and 7. Assessment for sepsis-associated delirium was performed daily. The primary outcome was the difference in S-100β from baseline to peak level between both the intervention and the control group, compared by t-test. Changes of all markers over time were explored in both groups, fitting a generalized estimating equations model. RESULTS: Mean difference in change of S-100β from baseline to peak level was 0.34 (95% CI: -0.18-0.85) between the intervention and control group, respectively (P = 0.19). We found no difference in plasma levels of S-100β, neuron-specific enolase, interleukin (IL)-6, IL-8, IL-10, and C-reactive protein between groups over time. Incidence of sepsis-associated delirium was 75% in the intervention and 71% in the control groups (risk difference 4%, 95% CI -24-31%, P = 0.796). CONCLUSION: Administration of n-3 fatty acids did not affect markers of brain injury, incidence of sepsis-associated delirium, and inflammatory mediators in septic patients.

Test-retest repeatability of the pupil light response to blue and red light stimuli in normal human eyes using a novel pupillometer.

In this study, we evaluated the repeatability of pupil responses to colored light stimuli in healthy subjects using a prototype chromatic pupillometer. One eye of 10 healthy subjects was tested twice in the same day using monochromatic light exposure at two selected wavelengths (660 and 470 nm, intensity 300 cd/m(2)) presented continuously for 20 s. Pupil responses were recorded in real-time before, during, and after light exposure. Maximal contraction amplitude and sustained contraction amplitude were calculated. In addition, we quantified the summed pupil response during continuous light stimulation as the total area between a reference line representing baseline pupil size and the line representing actual pupil size over 20 s (area under the curve). There was no significant difference in the repeated measure compared to the first test for any of the pupil response parameters. In conclusion, we have developed a novel prototype of color pupillometer which demonstrates good repeatability in evoking and recording the pupillary response to a bright blue and red light stimulus.

Dynamic Model of a Small Once-Through Boiler

In this study, a model for the unsteady dynamic behaviour of a once-through counter flow boiler that uses an organic working fluid is presented. The boiler is a compact waste-heat boiler without a furnace and it has a preheater, a vaporiser and a superheater. The relative lengths of the boiler parts vary with the operating conditions since they are all parts of a single tube. The present research is a part of a study on the unsteady dynamics of an organic Rankine cycle power plant and it will be a part of a dynamic process model. The boiler model is presented using a selected example case that uses toluene as the process fluid and flue gas from natural gas combustion as the heat source. The dynamic behaviour of the boiler means transition from the steady initial state towards another steady state that corresponds to the changed process conditions. The solution method chosen was to find such a pressure of the process fluid that the mass of the process fluid in the boiler equals the mass calculated using the mass flows into and out of the boiler during a time step, using the finite difference method. A special method of fast calculation of the thermal properties has been used, because most of the calculation time is spent in calculating the fluid properties. The boiler was divided into elements. The values of the thermodynamic properties and mass flows were calculated in the nodes that connect the elements. Dynamic behaviour was limited to the process fluid and tube wall, and the heat source was regarded as to be steady. The elements that connect the preheater to thevaporiser and the vaporiser to the superheater were treated in a special way that takes into account a flexible change from one part to the other. The model consists of the calculation of the steady state initial distribution of the variables in the nodes, and the calculation of these nodal values in a dynamic state. The initial state of the boiler was received from a steady process model that isnot a part of the boiler model. The known boundary values that may vary during the dynamic calculation were the inlet temperature and mass flow rates of both the heat source and the process fluid. A brief examination of the oscillation around a steady state, the so-called Ledinegg instability, was done. This examination showed that the pressure drop in the boiler is a third degree polynomial of the mass flow rate, and the stability criterion is a second degree polynomial of the enthalpy change in the preheater. The numerical examination showed that oscillations did not exist in the example case. The dynamic boiler model was analysed for linear and step changes of the entering fluid temperatures and flow rates.The problem for verifying the correctness of the achieved results was that there was no possibility o compare them with measurements. This is why the only way was to determine whether the obtained results were intuitively reasonable and the results changed logically when the boundary conditions were changed. The numerical stability was checked in a test run in which there was no change in input values. The differences compared with the initial values were so small that the effects of numerical oscillations were negligible. The heat source side tests showed that the model gives results that are logical in the directions of the changes, and the order of magnitude of the timescale of changes is also as expected. The results of the tests on the process fluid side showed that the model gives reasonable results both on the temperature changes that cause small alterations in the process state and on mass flow rate changes causing very great alterations. The test runs showed that the dynamic model has no problems in calculating cases in which temperature of the entering heat source suddenly goes below that of the tube wall or the process fluid.