934 resultados para potential energy curve
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The link between energy consumption and economic growth has been widely studied in the economic literature. Understanding this relationship is important from both an environmental and a socio-economic point of view, as energy consumption is crucial to economic activity and human environmental impact. This relevance is even higher for developing countries, since energy consumption per unit of output varies through the phases of development, increasing from an agricultural stage to an industrial one and then decreasing for certain service based economies. In the Argentinean case, the relevance of energy consumption to economic development seems to be particularly important. While energy intensity seems to exhibit a U-Shaped curve from 1990 to 2003 decreasing slightly after that year, total energy consumption increases along the period of analysis. Why does this happen? How can we relate this result with the sustainability debate? All these questions are very important due to Argentinean hydrocarbons dependence and due to the recent reduction in oil and natural gas reserves, which can lead to a lack of security of supply. In this paper we study Argentinean energy consumption pattern for the period 1990-2007, to discuss current and future energy and economic sustainability. To this purpose, we developed a conventional analysis, studying energy intensity, and a non conventional analysis, using the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) accounting methodology. Both methodologies show that the development process followed by Argentina has not been good enough to assure sustainability in the long term. Instead of improving energy use, energy intensity has increased. The current composition of its energy mix, and the recent economic crisis in Argentina, as well as its development path, are some of the possible explanations.
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Malnutrition is common in critically ill, hospitalized patients and so represents a major problem for intensive care. Nutritional support can be beneficial in such cases and may help preserve vital organ and immune function. Energy requirements, route of delivery and potential complications of nutritional support are discussed in this paper.
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Substantial and compelling medical and public health evidence indicated that non-medical factors, such as home energy costs, profoundly influence child health and well-being. Child Health Impact Assessment offered an evidence- and experience-based method through which to evaluate the implications of policy, regulations, and legislation for children's health and well-being. Our Child Health Impact Assessment of home energy costs revealed that unaffordable home energy has important and preventable adverse consequences for children's health. The available evidence showed that unaffordable home energy has preventable, potential consequences on the health and well-being of the more than 400,000 Massachusetts children living in low-income households. Low-income families are caught in the gap between rising energy prices and available energy assistance. Energy assistance falls far short of the need, especially when there is a spike in energy prices, such as following Hurricane Katrina in 2005. In addition to the exceedingly high housing costs in Massachusetts, our climate means low-income families spend more of their income on home energy (energy burden) to keep warm than families in other regions of the U.S.
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Protein energy wasting (PEW) is common in patients with chronic kidney disease (CKD) and is associated with adverse clinical outcomes, especially in individuals receiving maintenance dialysis therapy. A multitude of factors can affect the nutritional and metabolic status of CKD patients requiring a combination of therapeutic maneuvers to prevent or reverse protein and energy depletion. These include optimizing dietary nutrient intake, appropriate treatment of metabolic disturbances such as metabolic acidosis, systemic inflammation, and hormonal deficiencies, and prescribing optimized dialytic regimens. In patients where oral dietary intake from regular meals cannot maintain adequate nutritional status, nutritional supplementation, administered orally, enterally, or parenterally, is shown to be effective in replenishing protein and energy stores. In clinical practice, the advantages of oral nutritional supplements include proven efficacy, safety, and compliance. Anabolic strategies such as anabolic steroids, growth hormone, and exercise, in combination with nutritional supplementation or alone, have been shown to improve protein stores and represent potential additional approaches for the treatment of PEW. Appetite stimulants, anti-inflammatory interventions, and newer anabolic agents are emerging as novel therapies. While numerous epidemiological data suggest that an improvement in biomarkers of nutritional status is associated with improved survival, there are no large randomized clinical trials that have tested the effectiveness of nutritional interventions on mortality and morbidity.
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Methicillin-resistant Staphylococcus aureus (MRSA) and coagulase-negative Staphylococcus spp (CNS) are the most common pathogens that cause serious long term infections in patients. Despite the existence of new antimicrobial agents, such as linezolid, vancomycin (VAN) remains the standard therapy for the treatment of infections caused by these multidrug-resistant strains. However, the use of VAN has been associated with a high frequency of therapeutic failures in some clinical scenarios, mainly with decreasing concentration of VAN. This work aims to evaluate the synergic potential of VAN plus sulfamethoxazole/trimethoprim (SXT), VAN plus rifampin (RIF) and VAN plus imipenem (IPM) in sub-minimum inhibitory concentrations against 22 clinical strains of MRSA and CNS. The checkerboard method showed synergism of VAN/RIF and VAN/SXT against two and three of the 22 strains, respectively. The combination of VAN with IPM showed synergistic effects against 21 out of 22 strains by the E-test method. Four strains were analyzed by the time-kill curve method and synergistic activity was observed with VAN/SXT, VAN/RIF and especially VAN/IPM in sub-inhibitory concentrations. It would be interesting to determine if synergy occurs in vivo. Evidence of in vivo synergy could lead to a reduction of the standard VAN dosage or treatment time.
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A real-time polymerase chain reaction (PCR) assay with fluorescence resonance energy transfer (FRET) hybridisation probes combined with melting curve analysis was developed to detect Schistosoma japonicum in experimentally infected snails and in faecal samples of infected mice. This procedure is based on melting curve analysis of a hybrid between an amplicon from the S. japonicum internal transcribed spacer region 2 sequence, which is a 192-bp S. japonicum-specific sequence, and fluorophore-labelled specific probes. Real-time FRET PCR could detect as little as a single cercaria artificially introduced into a pool of 10 non-infected snails and a single egg inoculated in 100 mg of non-infected mouse faeces. All S. japonicum-infected snails and all faecal samples from infected mice were positive. Non-infected snails, non-infected mouse faeces and genomic DNA from other parasites were negative. This assay is rapid and has potential for epidemiological S. japonicum surveys in snails, intermediate hosts and faecal samples of final hosts.
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The endocannabinoid system (ECS) has been implicated in many physiological functions, including the regulation of appetite, food intake and energy balance, a crucial involvement in brain reward systems and a role in psychophysiological homeostasis (anxiety and stress responses). We first introduce this important regulatory system and chronicle what is known concerning the signal transduction pathways activated upon the binding of endogenous cannabinoid ligands to the Gi/0-coupled CB1 cannabinoid receptor, as well as its interactions with other hormones and neuromodulators which can modify endocannabinoid signaling in the brain. Anorexia nervosa (AN) and bulimia nervosa (BN) are severe and disabling psychiatric disorders, characterized by profound eating and weight alterations and body image disturbances. Since endocannabinoids modulate eating behavior, it is plausible that endocannabinoid genes may contribute to the biological vulnerability to these diseases. We present and discuss data suggesting an impaired endocannabinoid signaling in these eating disorders, including association of endocannabinoid components gene polymorphisms and altered CB1-receptor expression in AN and BN. Then we discuss recent findings that may provide new avenues for the identification of therapeutic strategies based on the endocannabinod system. In relation with its implications as a reward-related system, the endocannabinoid system is not only a target for cannabis but it also shows interactions with other drugs of abuse. On the other hand, there may be also a possibility to point to the ECS as a potential target for treatment of drug-abuse and addiction. Within this framework we will focus on enzymatic machinery involved in endocannabinoid inactivation (notably fatty acid amide hydrolase or FAAH) as a particularly interesting potential target. Since a deregulated endocannabinoid system may be also related to depression, anxiety and pain symptomatology accompanying drug-withdrawal states, this is an area of relevance to also explore adjuvant treatments for improving these adverse emotional reactions.
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SUMMARY Acid-sensing ion channels (ASICs) are non-voltage gated sodium channels. They are activated by rapid extracellular acidification and generate an inactivating inward current. Four ASIC genes have been cloned: ASIC1, 2, 3 and 4, with variants a and b for ASIC1and AS1C2. ASICs are expressed in neurons of the central (CNS) and peripheral nervous system (PNS). In the CNS, ASICs have a role in learning, memory, as well as in neuronal death in ischemia. In the PNS, ASICs are involved in the perception of acid-induced pain, as well as in mechanoperception. In one part of my thesis project, we addressed the question of the mechanism of regulation of ASIC1 a by the serine protease trypsin at the molecular level. Trypsin modifies the function of ASIC1 a but not of ASIC1b. In order to identify the channel region responsible for this effect, we created chimeras between ASIC1 a and 1b. Subsequently, to identify the exact trypsin target(s), we mutated predicted trypsin sites in the region identified by the chimera. In the second part of a project, we investigated the role of ASICs at the cellular level, in neuronal signaling. Using the whole-cell patch clamp in hippocampal neuronal culture, we studied the potential involvement of ASICs in action potential (AP) generation. In the first part of the thesis work, we showed that trypsin modifies ASIC1a function: it shifts the pH activation and the steady-state inactivation curve towards more acidic values and accelerates the time course of the channel recovery from inactivation. We also showed that trypsin cleaves ASIC1a and that the functional effect and a channel cleavage correlate. In the inactivated state, channels cannot be modified by trypsin. Cleavage occurs in a channel region that is also important for inactivation of all ASICs; a part of this region is critical for the inhibition of ASIC1 a by the spider toxin Psalmotoxin1. In the second part of the thesis work, we showed that ASIC activity can modulate AP generation. ASIC activity by itself can induce trains of APs. In situations in which this activity by itself is not sufficient to induce APs, it can contribute to AP generation. During high neuronal activity, ASIC activity can block already existing trains of APs. In conclusion, depending on the activity of neuron in a particular moment, ASICs can differently modulate AP generation; they can induce, facilitate or inhibit APs. We also showed that trypsin changes the capability of ASICs to modulate AP generation by shifting the pH dependence to more acidic values, which adapts channel gating to pH conditions which may occur in pathological conditions such as ischemia. Our finding that trypsin modifies ASIC1 a function identifies a novel pharmacological tool, and proposes a mechanism of ASIC1a regulation that may have a physiological importance. The identification of the exact site of trypsin action gives insight to the molecular mechanisms of ASIC regulation. This work proposes a role in modulation of AP generation for ASICs in the CNS. RESUME Les canaux ASIC sont les canaux ioniques activés par l'acidification rapide extracellulaire. Activés, ils génèrent un courant entrant qui inactive en présence de stimulus acide. Quatre gènes ASIC ont été clonés, ASIC1, 2, 3 et 4, avec les variants a et b pour ASIC1 et 2. Les ASICs sont exprimés dans les neurones du système nerveux central (SNC) et périphérique (SNP). Dans le SNC, les ASIC ont un rôle dans le mémoire, apprentissage et la mort neuronale dans t'ischémie. Dans le SNP, ils ont un rôle dans la perception de la douleur et méchanosensation. Dans une partie de mon projet de thèse, nous avons étudié les mécanismes de la régulation d'ASIC1a par la sérine-protéase trypsine au niveau moléculaire. La trypsine modifie la fonction d'ASIC1a et pas ASIC1b. Nous avons créé les chimères entre ASIC1 a et 1 b, afin d'identifier la région du canal responsable pour l'effet. Pour identifier le(s) site(s) exactes de l'action de la trypsine, nous avons muté les sites potentiels de la trypsine dans la région identifiée par les chimères. Dans la deuxième partie du projet, nous avons étudié le rôle des ASICs au niveau cellulaire. En utilisant la technique du patch clamp dans les cultures des neurones de l'hippocampe, nous avons étudié l'implication des ASICs dans la génération des potentiels d'action (PA). Nous avons montré que la trypsine agit sur le canal ASIC1a ; elle décale l'activation et « steady-state » inactivation vers les valeurs plus acides, et elle raccourcit le temps du « recovery » du canal. La trypsine coupe ASIC1a sur le résidu K145 et l'effet fonctionnel et la coupure corrèlent. Nous avons identifié la région du canal responsable pour l'inactivation de tous les ASICs ; une partie de cette région est responsable pour ['inhibition d'ASIC1 a par la Psalmotoxinel . Nous avons montré que les ASICs peuvent moduler la génération des PAs. L'activité des ASICs peut induire les trains des PAs. Quand l'activité des ASICs n'est pas suffisante pour induire le PA, elle peut contribuer à sa génération. Pendant l'activité neuronale forte, l'activité des ASICs peut bloquer les trains des PAs qui existent déjà. En conclusion, dépendant de l'activité neuronale, les ASICs peuvent moduler la génération des PAs différemment ; ils peuvent induire, faciliter ou inhiber les PAs. La trypsine change la capacité des ASICs de moduler les PAs. Après l'action de la trypsine, les ASICs peuvent moduler la génération des PAs dans les conditions légèrement acides, suivies par les fluctuations du pH acide, qui peuvent exister dans l'ischémie. Le fait que la trypsine agit sur ASIC1a définit l'outil pharmacologique et propose le mécanisme de la régulation d'ASICI a qui pourrait avoir l'importance physiologique. L'identification du site de l'action de la trypsine éclaircit les mécanismes moléculaires de la régulation des ASICs. Cette étude propose un rôle des ASICs dans la modulation de la génération des PAs. Résumé pour le public large Les neurones sont les cellules de système nerveux dont la fonction est la signalisation. Comme toutes les autres cellules, les neurones ont une membrane qui sépare l'intérieur du milieu extérieur. Cette membrane est imperméable pour des particules chargées (ions). Dans cette membrane existent les protéines spécifiques, « canaux », qui permettent le transport des ions d'un côté de la membrane à l'autre, comme réponse aux stimuli différents. Ce transport des ions à travers la membrane génère un courant, qu'on peut mesurer. Ce courant est la base de la communication entre les neurones, ou, ce qu'on appelle la signalisation neuronale. Quand ce courant est suffisamment grand, il permet la génération du potentiel d'action, qui est le message principal de communication neuronale. Les canaux ASIC (acid-sensing ion channel), que nous étudions dans le laboratoire, sont activés par les acides. Les acides sont relâchés dans beaucoup de situations dans le système nerveux. Les ASIC ont été découverts récemment (en 1996), et nous ne connaissons pas encore très bien toutes les fonctions de ces canaux. Nous savons qu'ils ont un rôle dans le mémoire, apprentissage, la sensation de la douleur et l'infarctus cérébral. Dans la première partie de ce projet de thèse, nous avons voulu mieux comprendre comment fonctionnent ces canaux. Pour faire ça, nous avons étudié la régulation des ASICs par une protéine, trypsine, qui coupe le canal ASIC. Nous avons étudié ou exactement la trypsine coupe le canal et quels effets ça produit sur la fonction du canal. Dans la deuxième partie du projet de thèse, nous avons voulu mieux connaître comment le canal fonctionne au niveau de la cellule, comment il interagit avec les autres canaux et si il a un rôle dans la génération des potentiels d'action. Nous avons pu montrer que la trypsine change la fonction du canal, ce qui lui permet de fonctionner différemment. Nous avons aussi déterminé ou exactement ta trypsine coupe le canal. Au niveau de la cellule, nous avons montré que les ASIC peuvent moduler la génération des potentiels d'action, étant, dépendant de l'activité du neurone, soit activateurs, soit inhibiteurs. La trypsine est une molécule qui peut être libérée dans le système nerveux pendant certaines conditions, comme l'infarctus cérébral. A cause de ça, les connaissances que la trypsine agit sur le anal ASIC pourraient être important physiologiquement. La connaissance de l'endroit exacte ou la trypsine coupe le canal nous aide à mieux comprendre la relation structure-fonction du canal. La modulation de la génération des potentiels d'actions par les ASIC indique que ces canaux peuvent avoir un rôle important dans la signalisation neuronale.
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BACKGROUND Observational studies implicate higher dietary energy density (DED) as a potential risk factor for weight gain and obesity. It has been hypothesized that DED may also be associated with risk of type 2 diabetes (T2D), but limited evidence exists. Therefore, we investigated the association between DED and risk of T2D in a large prospective study with heterogeneity of dietary intake. METHODOLOGY/PRINCIPAL FINDINGS A case-cohort study was nested within the European Prospective Investigation into Cancer (EPIC) study of 340,234 participants contributing 3.99 million person years of follow-up, identifying 12,403 incident diabetes cases and a random subcohort of 16,835 individuals from 8 European countries. DED was calculated as energy (kcal) from foods (except beverages) divided by the weight (gram) of foods estimated from dietary questionnaires. Prentice-weighted Cox proportional hazard regression models were fitted by country. Risk estimates were pooled by random effects meta-analysis and heterogeneity was evaluated. Estimated mean (sd) DED was 1.5 (0.3) kcal/g among cases and subcohort members, varying across countries (range 1.4-1.7 kcal/g). After adjustment for age, sex, smoking, physical activity, alcohol intake, energy intake from beverages and misreporting of dietary intake, no association was observed between DED and T2D (HR 1.02 (95% CI: 0.93-1.13), which was consistent across countries (I(2) = 2.9%). CONCLUSIONS/SIGNIFICANCE In this large European case-cohort study no association between DED of solid and semi-solid foods and risk of T2D was observed. However, despite the fact that there currently is no conclusive evidence for an association between DED and T2DM risk, choosing low energy dense foods should be promoted as they support current WHO recommendations to prevent chronic diseases.
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We describe a simple method to automate the geometric optimization of molecular orbital calculations of supermolecules on potential surfaces that are corrected for basis set superposition error using the counterpoise (CP) method. This method is applied to the H-bonding complexes HF/HCN, HF/H2O, and HCCH/H2O using the 6-31G(d,p) and D95 + + (d,p) basis sets at both the Hartree-Fock and second-order Møller-Plesset levels. We report the interaction energies, geometries, and vibrational frequencies of these complexes on the CP-optimized surfaces; and compare them with similar values calculated using traditional methods, including the (more traditional) single point CP correction. Upon optimization on the CP-corrected surface, the interaction energies become more negative (before vibrational corrections) and the H-bonding stretching vibrations decrease in all cases. The extent of the effects vary from extremely small to quite large depending on the complex and the calculational method. The relative magnitudes of the vibrational corrections cannot be predicted from the H-bond stretching frequencies alone
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The present work provides a generalization of Mayer's energy decomposition for the density-functional theory (DFT) case. It is shown that one- and two-atom Hartree-Fock energy components in Mayer's approach can be represented as an action of a one-atom potential VA on a one-atom density ρ A or ρ B. To treat the exchange-correlation term in the DFT energy expression in a similar way, the exchange-correlation energy density per electron is expanded into a linear combination of basis functions. Calculations carried out for a number of density functionals demonstrate that the DFT and Hartree-Fock two-atom energies agree to a reasonable extent with each other. The two-atom energies for strong covalent bonds are within the range of typical bond dissociation energies and are therefore a convenient computational tool for assessment of individual bond strength in polyatomic molecules. For nonspecific nonbonding interactions, the two-atom energies are low. They can be either repulsive or slightly attractive, but the DFT results more frequently yield small attractive values compared to the Hartree-Fock case. The hydrogen bond in the water dimer is calculated to be between the strong covalent and nonbonding interactions on the energy scale
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Introduction: Responses to external stimuli are typically investigated by averaging peri-stimulus electroencephalography (EEG) epochs in order to derive event-related potentials (ERPs) across the electrode montage, under the assumption that signals that are related to the external stimulus are fixed in time across trials. We demonstrate the applicability of a single-trial model based on patterns of scalp topographies (De Lucia et al, 2007) that can be used for ERP analysis at the single-subject level. The model is able to classify new trials (or groups of trials) with minimal a priori hypotheses, using information derived from a training dataset. The features used for the classification (the topography of responses and their latency) can be neurophysiologically interpreted, because a difference in scalp topography indicates a different configuration of brain generators. An above chance classification accuracy on test datasets implicitly demonstrates the suitability of this model for EEG data. Methods: The data analyzed in this study were acquired from two separate visual evoked potential (VEP) experiments. The first entailed passive presentation of checkerboard stimuli to each of the four visual quadrants (hereafter, "Checkerboard Experiment") (Plomp et al, submitted). The second entailed active discrimination of novel versus repeated line drawings of common objects (hereafter, "Priming Experiment") (Murray et al, 2004). Four subjects per experiment were analyzed, using approx. 200 trials per experimental condition. These trials were randomly separated in training (90%) and testing (10%) datasets in 10 independent shuffles. In order to perform the ERP analysis we estimated the statistical distribution of voltage topographies by a Mixture of Gaussians (MofGs), which reduces our original dataset to a small number of representative voltage topographies. We then evaluated statistically the degree of presence of these template maps across trials and whether and when this was different across experimental conditions. Based on these differences, single-trials or sets of a few single-trials were classified as belonging to one or the other experimental condition. Classification performance was assessed using the Receiver Operating Characteristic (ROC) curve. Results: For the Checkerboard Experiment contrasts entailed left vs. right visual field presentations for upper and lower quadrants, separately. The average posterior probabilities, indicating the presence of the computed template maps in time and across trials revealed significant differences starting at ~60-70 ms post-stimulus. The average ROC curve area across all four subjects was 0.80 and 0.85 for upper and lower quadrants, respectively and was in all cases significantly higher than chance (unpaired t-test, p<0.0001). In the Priming Experiment, we contrasted initial versus repeated presentations of visual object stimuli. Their posterior probabilities revealed significant differences, which started at 250ms post-stimulus onset. The classification accuracy rates with single-trial test data were at chance level. We therefore considered sub-averages based on five single trials. We found that for three out of four subjects' classification rates were significantly above chance level (unpaired t-test, p<0.0001). Conclusions: The main advantage of the present approach is that it is based on topographic features that are readily interpretable along neurophysiologic lines. As these maps were previously normalized by the overall strength of the field potential on the scalp, a change in their presence across trials and between conditions forcibly reflects a change in the underlying generator configurations. The temporal periods of statistical difference between conditions were estimated for each training dataset for ten shuffles of the data. Across the ten shuffles and in both experiments, we observed a high level of consistency in the temporal periods over which the two conditions differed. With this method we are able to analyze ERPs at the single-subject level providing a novel tool to compare normal electrophysiological responses versus single cases that cannot be considered part of any cohort of subjects. This aspect promises to have a strong impact on both basic and clinical research.
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Obesity prevalence is generally higher in women than in men, and there is also a sex difference in body fat distribution. Sex differences in obesity can be explained in part by the influence of gonadal steroids on body composition and appetite; however, behavioural, socio-cultural and chromosomal factors may also play a role. This review, which evolved from the 2008 Stock Conference on sex differences in obesity, summarizes current research and recommendations related to hormonal and neuroendocrine influences on energy balance and fat distribution. A number of important gaps in the research are identified, including a need for more studies on chromosomal sex effects on energy balance, the role of socio-cultural (i.e. gender) factors in obesity and the potential deleterious effects of high-fat diets during pregnancy on the foetus. Furthermore, there is a paucity of clinical trials examining sex-specific approaches and outcomes of obesity treatment (lifestyle-based or pharmacological), and research is urgently needed to determine whether current weight loss programmes, largely developed and tested on women, are appropriate for men. Last, it is important that both animal and clinical research on obesity be designed and analysed in such a way that data can be separately examined in both men and women.
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We provide estimates of the costs associated with inducing substantial conversion of land from production of traditional crops to switchgrass. Higher traditional crop prices due to increased demand for corn from the ethanol industry has increased the relative advantage that row crops have over switchgrass. Results indicate that farmers will convert to switchgrass production only with significant conversion subsidies. To examine potential environmental consequences of conversion, we investigate three stylized landscape usage scenarios, one with an entire conversion of a watershed to switchgrass production, a second with the entire watershed planted to continuous corn under a 50% removal rate of the biomass, and a third scenario that places switchgrass on the most erodible land in the watershed and places continuous corn on the least erodible. For each of these illustrative scenarios, the watershed-scale Soil and Water Assessment Tool (SWAT) hydrological model (Arnold et al., 1998; Arnold and Forher, 2005) is used to evaluate the effect of these landscape uses on sediment and nutrient loadings in the Maquoketa Watershed in eastern Iowa.
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This study analyses for the first time the lipid (energy) reserves of European hake (Merluccius merluccius) in the north-western Mediterranean from an ecophysiological perspective. Results show that there is a progressive accumulation of lipids in the liver of maturing hake -where the bulk of the fat is stored- as individuals grow. Results also indicate that female pre-spawners expend much energy on reproductive activities since they present lower liver lipid reserves than juveniles and maturing individuals. Furthermore, results show that female pre-spawners with higher lipid reserves in their livers had a higher amount of lipids in their ovaries, suggesting that maternal condition (spawner quality) may affect the reproductive potential of hake. Overall, the results of this study suggest that the analysis of liver lipid reserves during pre-spawning, along with the evaluation of the gonadosomatic index and the consideration of the reproductive stage, can contribute to improve the estimation of the reproductive potential of gadoid species such as hake