84 resultados para Pro-poor


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Predicting ecological response to climate change is often limited by a lack of relevant local data from which directly applicable mechanistic models can be developed. This limits predictions to qualitative assessments or simplistic rules of thumb in data-poor regions, making management of the relevant systems difficult. We demonstrate a method for developing quantitative predictions of ecological response in data-poor ecosystems based on a space-for-time substitution, using distant, well-studied systems across an inherent climatic gradient to predict ecological response. Changes in biophysical data across the spatial gradient are used to generate quantitative hypotheses of temporal ecological responses that are then tested in a target region. Transferability of predictions among distant locations, the novel outcome of this method, is demonstrated via simple quantitative relationships that identify direct and indirect impacts of climate change on physical, chemical and ecological variables using commonly available data sources. Based on a limited subset of data, these relationships were demonstrably plausible in similar yet distant (>2000 km) ecosystems. Quantitative forecasts of ecological change based on climate-ecosystem relationships from distant regions provides a basis for research planning and informed management decisions, especially in the many ecosystems for which there are few data. This application of gradient studies across domains - to investigate ecological response to climate change - allows for the quantification of effects on potentially numerous, interacting and complex ecosystem components and how they may vary, especially over long time periods (e.g. decades). These quantitative and integrated long-term predictions will be of significant value to natural resource practitioners attempting to manage data-poor ecosystems to prevent or limit the loss of ecological value. The method is likely to be applicable to many ecosystem types, providing a robust scientific basis for estimating likely impacts of future climate change in ecosystems where no such method currently exists.

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NO plays diverse roles in physiological and pathological processes, occasionally resulting in opposing effects, particularly in cells subjected to oxidative stress. NO mostly protects eukaryotes against oxidative injury, but was demonstrated to kill prokaryotes synergistically with H2O2. This could be a promising therapeutic avenue. However, recent conflicting findings were reported describing dramatic protective activity of NO. The previous studies of NO effects on prokaryotes applied a transient oxidative stress while arbitrarily checking the residual bacterial viability after 30 or 60min and ignoring the process kinetics. If NO-induced synergy and the oxidative stress are time-dependent, the elucidation of the cell killing kinetics is essential, particularly for survival curves exhibiting a "shoulder" sometimes reflecting sublethal damage as in the linear-quadratic survival models. We studied the kinetics of NO synergic effects on H2O2-induced killing of microbial pathogens. A synergic pro-oxidative activity toward gram-negative and gram-positive cells is demonstrated even at sub-μM/min flux of NO. For certain strains, the synergic effect progressively increased with the duration of cell exposure, and the linear-quadratic survival model best fit the observed survival data. In contrast to the failure of SOD to affect the bactericidal process, nitroxide SOD mimics abrogated the pro-oxidative synergy of NO/H2O2. These cell-permeative antioxidants, which hardly react with diamagnetic species and react neither with NO nor with H2O2, can detoxify redox-active transition metals and catalytically remove intracellular superoxide and nitrogen-derived reactive species such as (•)NO2 or peroxynitrite. The possible mechanism underlying the bactericidal NO synergy under oxidative stress and the potential therapeutic gain are discussed.

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Background:
Two small studies had evaluated the efficacy of rTMS in migraine. One tested high frequency rTMS over the dorsolateral prefrontal cortex while the other evaluated 1 Hz rTMS over the vertex.
Aim:
To test the feasibility of 10 Hz rTMS of motor cortex as an adjunctive therapy in patients with chronic migraine.
Materials and Methods:
We randomized (2:1 ratio) chronic migraine patients on medical preventive treatment to receive either rTMS or sham therapy for 10 sessions. rTMS (80% resting motor threshold, 10Hz, 20 trains, 5 secs/train, inter-train interval 1 min, total 1000 stimuli/session) was applied over the right motor cortex.
Result:
Nine patients were randomized. Six received rTMS
and three had sham therapy. Three patients in the rTMS arm withdrew from the study due to increased headache frequency and discomfort from the treatment. The remaining six cases (3 rTMS, 3 sham) completed the study. The study was prematurely stopped due to the significant worsening of headache from rTMS. No significant differences in outcome measures were found between real and sham rTMS.
Conclusion:
Although the study was terminated prematurely, the high dropout rate (50%) due to worsening headaches suggested that rTMS over the motor cortex is poorly tolerated in chronic migraine.

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Researches on Physarum polycephalum show that methods inspired by the primitive unicellular organism can construct an efficient network and solve some complex problems in graph theory. Current models simulating the intelligent behavior of Physarum are mainly based on Hagen-Poiseuille Law and Kirchhoff Law, reaction-diffusion, Cellular Automaton and multi-agent approach. In this paper, based on an assumption that the plasmodium of Physarum forages for food along the gradient of chemo-attractants on a nutrient-poor substrate, a new model is proposed to imitate its intelligent foraging behavior. The key point of the model is that the growth of Physarum is determined by the simple particle concentration field relating the distance to food source and the shape of food source on a nutrient-poor substrate. To verify this model, numerical experiments are conducted according to Adamatzky[U+05F3]s experiment. Results in spanning tree construction by this model are almost the same as those of Physarum and Oregonator model. The proposed model can also imitate Physarum to avoid repellents. Furthermore, the Euclidean Spanning tree built by this model is similar to its corresponding Minimal Euclidean Spanning tree.

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We investigate the effect of social capital on hygiene practices pertaining to lives of the extreme poor in rural Bangladesh. Analysing a unique survey dataset for 5,600 extreme poor households, we document a significant positive effect of social capital on sanitary latrine use and wearing shoes/sandals at home for hygiene. We account for the endogeneity of social capital by instrumental variable estimation. Our findings emphasise the role of social capital in preventing common diseases through improving hygiene practices for the extreme poor, who usually lack access to medical services in the event of illness, which has important policy implications.

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In this study, we examine the nature of the relationship between ethical leadership and unethical pro-organizational behavior (UPB), defined as unethical behavior conducted by employees with the aim of benefiting their organization, and whether the strength of the relationship differs between subordinates experiencing high and low identification with supervisor. Based on three-wave survey data obtained from 239 public sector employees in China, we find that ethical leadership has an inverted u-shaped (curvilinear) relationship with UPB. As the level of ethical leadership increases from low to moderate, UPB increases; as the level of ethical leadership increases from moderate to high, UPB decreases. Further, we find that the strength of this inverted u-curve relationship differs between subordinates with high and low identification with supervisor. That is to say, the inverted u-shaped relationship between ethical leadership and UPB was stronger when subordinates experienced high levels of identification with supervisor. The theoretical and managerial implications of our findings for understanding how to manage UPB in an organizational context are discussed. © 2012 Springer Science+Business Media Dordrecht.

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Convincing evidence has identified inflammation as an initiator of atherosclerosis, underpinning CVD. We investigated (i) whether dietary inflammation, as measured by the 'dietary inflammatory index (DII)', was predictive of 5-year CVD in men and (ii) its predictive ability compared with that of SFA intake alone. The sample consisted of 1363 men enrolled in the Geelong Osteoporosis Study who completed an FFQ at baseline (2001-2006) (excluding participants who were identified as having previous CVD). DII scores were computed from participants' reported intakes of carbohydrate, micronutrients and glycaemic load. DII scores were dichotomised into a pro-inflammatory diet (positive values) or an anti-inflammatory diet (negative values). The primary outcome was a formal diagnosis of CVD resulting in hospitalisation over the 5-year study period. In total, seventy-six events were observed during the 5-year follow-up period. Men with a pro-inflammatory diet at baseline were twice as likely to experience a CVD event over the study period (OR 2·07; 95 % CI 1·20, 3·55). This association held following adjustment for traditional CVD risk factors and total energy intake (adjusted OR 2·00; 95 % CI 1·03, 3·96). This effect appeared to be stronger with the inclusion of an age-by-DII score interaction. In contrast, SFA intake alone did not predict 5-year CVD events after adjustment for covariates (adjusted OR 1·40; 95 % CI 0·73, 2·70). We conclude that an association exists between a pro-inflammatory diet and CVD in Australian men. CVD clinical guidelines and public health recommendations may have to expand to include dietary patterns in the context of vascular inflammation.

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A survey of 168 White Australian community members examined whether ambivalence toward certain social groups by some religious individuals constituted a suppression effect in which authoritarian motivated prejudice suppressed more pro-social attitudes toward asylum seekers. Using mediation analysis, it was found that Christian religious identity was not significantly associated with prejudice at a bivariate level. However, when Right-Wing Authoritarianism (RWA) was taken into account, Christians (compared with non-Christians) were less likely to hold negative attitudes toward asylum seekers in Australia. Inclusion of acculturation ideologies (assimilation, multiculturalism, and color-blindness) in the models indicated that the suppression effect was specific to RWA rather than due to other intergroup attitudes. However, findings suggest that multiculturalism may be one proximal indicator of Christian pro-sociality.