290 research outputs found

    Effects of local and global stressors on the status and future persistence of intertidal canopy-forming algae

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    Marine canopy-forming seaweeds are among the most important habitat-forming species along temperate and polar rocky coasts. They form diverse, productive and valuable "forest" habitats that play a key role in coastal primary production, nutrient cycling and disturbance regulation, and facilitate abundant algae and animal communities. They are also some of the most heavily impacted coastal habitats, facing increasing pressures from urban sprawl, pollution, overfishing and climatic instabilities. Identifying the type and strength of interactions between multiple anthropogenic and natural stressors can help setting achievable management targets for degraded ecosystems and support ecological resilience through local actions. My research focuses primarily on understanding the effects of multiple local and global stressors on canopy-forming seaweeds of the genus Cystoseira, with and emphasis on field investigation and experimentation. I approached my research integrating different approaches: 1) I investigated which are the factors driving the loss of canopy-forming seaweeds at global level. The results allowed to detect important synergistic interactions between nutrient enrichment, caused mainly by human activities, and different other stressors such as heavy metals, the presence of competitors, low light and increasing temperature. This suggested that local management of nutrient levels would provide the greatest opportunity for preventing the shift from canopy to mat-forming algae; 2) as second step, I analysed the status of the intertidal Cystoseira populations around the Italian coast, and explored which factors are most likely to influence it. The results reported severe depletion of intertidal populations of Cystoseira, and identified urbanization as one of the main factors related to these poor conditions, confirming the need for urgent management actions to reduce human pressures on these valuable habitat forming species; 3) then, I experimentally investigated the effects of extreme events caused by climate change. I focused my attention on the effects of abrupt increases of air temperature caused by heat-wave events on the intertidal C. compressa around the Italian coast. The results indicated that extreme heat-wave negatively affect the photosynthetic activity of C. compressa, and that local biodiversity and thermal history of the alga seem to play a role reducing or increasing respectively the impact of such extreme events. 4) I also explored the possible overlooked role of the epiphytic bacteria growing on C. compressa. Bacteria can interact with seaweeds in symbiotic, pathological and opportunistic ways, modulating the health, performance and resilience of their hosts and could, therefore play a critical role on the responses of Cystoseira spp. to stress factors. I characterised for the first time the epiphytic bacteria associated to the surface of C. compressa using Illumina Miseq sequences of V1-V3 hypervariable regions of 16S rRNA gene, and investigated their seasonal variations and their relationships with the bacterial populations in the surrounding seawater. I found that bacterial populations associated to C. compressa were clearly distinct from those in the surrounding media, and identified a clear successional pattern, interestingly characterized by an increase in abundance of potential microbial pathogens associated to older thalli of C. compressa; 5) the previous quantitative descriptive work represented an important base-knowledge to further explore experimentally whether surface bacteria could influence the responses of their hosting Cystoseira populations to stressors. I analysed experimentally in the field the interacting effects of nutrient enrichment and heat-wave events on C. compressa population, and explored whether any resulting changes in the photosynthetic activity of C. compressa were associated to changes in the epiphytic bacterial communities. The heat wave caused marked declines of the photosynthetic activity of the intertidal C. compressa. These effects persisted for at least 3 hours, while recovery generally occurred after 24 hours. The heat-wave altered the structure of the epiphytic bacteria of C. compressa. Thalli exposed to the heat-wave presented an increase of OTUs previously shown to be associated with the natural degradation of the thalli of C. compressa, or implied in causing disease or damage to macroalgae. As observed for the photosynthetic activity, these differences decreased over time, suggesting that the microbial community has the ability to recover. Differently from previous work, this experiment did not detect significant effects related to nutrient enrichment, suggesting that the effects of nutrients could be context dependent. These results open new questions concerning the mechanisms by which the epibacterial community could influence the responses and future persistence of these important canopy-forming seaweeds

    Request-peer selection for load-balancing in P2P live streaming systems

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    Theme: Services, Applications and BusinessUnlike peer-to-peer (P2P) file sharing, P2P live streaming systems have to meet real-time playback constraints, which makes it very challenging yet crucial to maximize the peer uplink bandwidth utilization so as to deliver content pieces in time. In general, this is achieved by adopting tailor-made piece selection and request-peer selection algorithms. The design philosophy is to regulate the network traffic and to balance the load among peers. In this paper, we propose a new request-peer selection algorithm. In particular, a peer in the network estimates the service response time (SRT) between itself and each neighboring peer. An SRT is measured from when a data piece request is sent until the requested piece arrives. When a peer makes a piece request, the neighbor with smaller SRT and fewer data pieces would be favored among potential providers. This is because smaller SRT implies excess serving capacity and fewer data pieces suggests less piece requests received. We evaluate the performance of our request-peer selection algorithm through extensive packet level simulations. Our simulation results show that the traffic load in the network is better balanced in the sense that the difference of the normalized number of data packets uploaded by each peer is getting smaller and the number of repeated piece requests generated by each peer (due to request failure) is significantly reduced. We also found that the load of streaming server is reduced, and the overall quality of service, measured by playback continuity, startup delay etc, is improved as well. © 2012 IEEE.published_or_final_versio

    Prediction of 3D grinding temperature field based on meshless method considering infinite element

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    © 2018, Springer-Verlag London Ltd., part of Springer Nature. A three-dimensional numerical model to calculate the grinding temperature field distribution is presented. The finite block method, which is developed from meshless method, is used to deal with the stationary and the transient heat conduction problems in this paper. The influences of workpiece feed velocity, cooling coefficient, and the depth of cut on temperature distribution are considered. The model with temperature-dependent thermal conductivity and specific heat is presented. The Lagrange partial differential matrix from the heat transfer governing equation is obtained by using Lagrange series and mapping technique. The grinding wheel-workpiece contact area is assumed as a moving distributed square heat source. The Laplace transformation method and Durbin’s inverse technique are employed in the transient heat conduction analysis. The results of the developed model are compared with others’ finite element method solutions and analytical solutions where a good agreement is demonstrated. And the finite block method was proved a better convergence and accuracy than finite element method by comparing the ABAQUS results. In addition, the three-dimensional infinite element is introduced to perform the thermal analysis, and there is a great of advantages in the simulation of large boundary problems.The work was funded by China Scholarship Council, the Fundamental Research Funds for the Central Universities (N160306006), National Natural Science Foundation of China (51275084), and Science and technology project of Shenyang (18006001)

    Observation of a ppb mass threshoud enhancement in \psi^\prime\to\pi^+\pi^-J/\psi(J/\psi\to\gamma p\bar{p}) decay

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    The decay channel ψπ+πJ/ψ(J/ψγppˉ)\psi^\prime\to\pi^+\pi^-J/\psi(J/\psi\to\gamma p\bar{p}) is studied using a sample of 1.06×1081.06\times 10^8 ψ\psi^\prime events collected by the BESIII experiment at BEPCII. A strong enhancement at threshold is observed in the ppˉp\bar{p} invariant mass spectrum. The enhancement can be fit with an SS-wave Breit-Wigner resonance function with a resulting peak mass of M=186113+6(stat)26+7(syst)MeV/c2M=1861^{+6}_{-13} {\rm (stat)}^{+7}_{-26} {\rm (syst)} {\rm MeV/}c^2 and a narrow width that is Γ<38MeV/c2\Gamma<38 {\rm MeV/}c^2 at the 90% confidence level. These results are consistent with published BESII results. These mass and width values do not match with those of any known meson resonance.Comment: 5 pages, 3 figures, submitted to Chinese Physics

    Depressive symptoms and suicide in 56,000 older Chinese: a Hong Kong cohort study

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    Objective: To examine dose-response associations between depressive symptoms and suicide and modification effects of sex, age and health status in older Chinese. Methods: We used the Chinese version of the 15-item Geriatric Depression Scale (GDS) to measure depressive symptoms (GDS score ≥ 8) and Cox regression to examine association with suicide mortality in a population-based cohort of 55,946 individuals, aged 65 years or above, enrolled from July 1998 to December 2000 at one of 18 Elderly Health Centres of Hong Kong Department of Health. The cohort was followed up for suicide mortality till 31 March 2009 (mean follow-up 8.7 years). Results: Depressive symptoms were associated with suicide in men [hazard ratio (HR) 2.03, 95% confidence interval (CI) 0.96-4.29] and women (HR = 2.36, 95% CI 1.31-4.24) after adjusting for age, education, monthly expenditure, smoking, alcohol drinking, physical activity, body mass index, health status, and self-rated health. There was no threshold for GDS score and suicide in either sex. Age, sex and health status did not modify the association. Conclusions: Depressive symptoms predict higher suicide risk in older Chinese in a dose-response pattern. These associations were not attenuated by adjustment for health status, suggesting that depressive symptoms in older people are likely to be an independent causal factor for suicide. The GDS score showed no threshold in predicting suicide risk, suggesting that older people with low GDS scores deserve further attention and those with very high scores need urgent intervention. © 2011 The Author(s).published_or_final_versionSpringer Open Choice, 21 Feb 201

    Identification of Novel Human Damage Response Proteins Targeted through Yeast Orthology

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    Studies in Saccharomyces cerevisiae show that many proteins influence cellular survival upon exposure to DNA damaging agents. We hypothesized that human orthologs of these S. cerevisiae proteins would also be required for cellular survival after treatment with DNA damaging agents. For this purpose, human homologs of S. cerevisiae proteins were identified and mapped onto the human protein-protein interaction network. The resulting human network was highly modular and a series of selection rules were implemented to identify 45 candidates for human toxicity-modulating proteins. The corresponding transcripts were targeted by RNA interference in human cells. The cell lines with depleted target expression were challenged with three DNA damaging agents: the alkylating agents MMS and 4-NQO, and the oxidizing agent t-BuOOH. A comparison of the survival revealed that the majority (74%) of proteins conferred either sensitivity or resistance. The identified human toxicity-modulating proteins represent a variety of biological functions: autophagy, chromatin modifications, RNA and protein metabolism, and telomere maintenance. Further studies revealed that MMS-induced autophagy increase the survival of cells treated with DNA damaging agents. In summary, we show that damage recovery proteins in humans can be identified through homology to S. cerevisiae and that many of the same pathways are represented among the toxicity modulators

    Energy Consumption, Carbon Emissions and Global Warming Potential of Wolfberry Production in Jingtai Oasis, Gansu Province, China

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    During the last decade, China's agro-food production has increased rapidly and been accompanied by the challenge of increasing greenhouse gas (GHG) emissions and other environmental pollutants from fertilizers, pesticides, and intensive energy use. Understanding the energy use and environmental impacts of crop production will help identify environmentally damaging hotspots of agro-production, allowing environmental impacts to be assessed and crop management strategies optimized. Conventional farming has been widely employed in wolfberry (Lycium barbarum) cultivation in China, which is an important cash tree crop not only for the rural economy but also from an ecological standpoint. Energy use and global warming potential (GWP) were investigated in a wolfberry production system in the Yellow River irrigated Jingtai region of Gansu. In total, 52 household farms were randomly selected to conduct the investigation using questionnaires. Total energy input and output were 321,800.73 and 166,888.80 MJ ha−1, respectively, in the production system. The highest share of energy inputs was found to be electricity consumption for lifting irrigation water, accounting for 68.52%, followed by chemical fertilizer application (11.37%). Energy use efficiency was 0.52 when considering both fruit and pruned wood. Nonrenewable energy use (88.52%) was far larger than the renewable energy input. The share of GWP of different inputs were 64.52% electricity, 27.72% nitrogen (N) fertilizer, 5.07% phosphate, 2.32% diesel, and 0.37% potassium, respectively. The highest share was related to electricity consumption for irrigation, followed by N fertilizer use. Total GWP in the wolfberry planting system was 26,018.64 kg CO2 eq ha−1 and the share of CO2, N2O, and CH4 were 99.47%, 0.48%, and negligible respectively with CO2 being dominant. Pathways for reducing energy use and GHG emission mitigation include: conversion to low carbon farming to establish a sustainable and cleaner production system with options of raising water use efficiency by adopting a seasonal gradient water pricing system and advanced irrigation techniques; reducing synthetic fertilizer use; and policy support: smallholder farmland transfer (concentration) for scale production, credit (small- and low-interest credit) and tax breaks

    Erythropoietin: a multimodal neuroprotective agent

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    The tissue protective functions of the hematopoietic growth factor erythropoietin (EPO) are independent of its action on erythropoiesis. EPO and its receptors (EPOR) are expressed in multiple brain cells during brain development and upregulated in the adult brain after injury. Peripherally administered EPO crosses the blood-brain barrier and activates in the brain anti-apoptotic, anti-oxidant and anti-inflammatory signaling in neurons, glial and cerebrovascular endothelial cells and stimulates angiogenesis and neurogenesis. These mechanisms underlie its potent tissue protective effects in experimental models of stroke, cerebral hemorrhage, traumatic brain injury, neuroinflammatory and neurodegenerative disease. The preclinical data in support of the use of EPO in brain disease have already been translated to first clinical pilot studies with encouraging results with the use of EPO as a neuroprotective agent
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