44 research outputs found

    Retention P by Iron Oxide in Acid Sulphate Soil After Land Reclamation

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    Acid Sulphate Soil is a kind of soil with high pyrite (FeS2) content. Miss management in land reclamation of acid sulphate soil will cause pyrite oxidation that made the soil becomes very acid. Pyrite oxidation on acid sulphate soil will produce iron oxides such as goethite (α-FeOOH) and hematite (α-Fe2O3). Goethite and hematite have ability to bind the anions and cations in the soilsuch as phosphate which produces a complex surface binuclear with model of Fe-OP(O2)-O-Fe. On acid sulphate land because of its association with soil Fe and its solubility alteration during reduction and oxidation processes of land, P is a limiting factor. More iron oxide in the soil, more P is retentioned. Each m.mol Fe in soil will bind P as much as 0,17 m.mol P

    Hubungan antara Paparan Benzena dengan Profil Darah pada Pekerja di Industri Percetakan X Kota Semarang

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    Benzene is one of toxic air pollutants. In printing industry, benzene contained in the ink and solvent. Environmental Protection Agency (EPA) has classified benzene in the Group A (carcinogen for humans). Chronic effect of benzene exposure were defect in bone marrow which characterized by changes in blood profile. The purpose of this research was to analyze the correlation between benzene exposure and blood profile on workers in the printing industry X. The research type was an analytic observational with cross sectional approach. Blood profile includes haemoglobin, erythrocytes, leukocytes, platelets, haematocrit, mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH) and mean corpuscular haemoglobin concentration (MCHC). Samples were 14 workers in production department printing industry X. About 2-3 cc venous blood of each workers was taken for blood profile analysis. Inhaled benzene by workers taken by using personal dust sampler and carbon active coconut shell charcoal in accordance NIOSH 1501 method. Data were analyzed by univariate and bivariate using Spearman rank correlation test. The result showed that the average inhaled benzene concentration = 0.1322 ppm. The average of haemoglobin = 14.85 gr/dL; erythrocytes = 5.31x106cells/”L; leukocytes = 6.8486x103 cells/”L; platelets = 265.7857x103cells/”L; haematocrit = 43.5143%; MCV = 82.6286 fL; MCH = 28.2 pg, and MCHC = 34.1143 gr/dL. There was a significant correlation between benzene exposure and mean corpuscular volume (MCV) (p=0.005; r=0.705). There were no significant correlation between benzene exposure and haemoglobin, erythrocytes, leukocytes, platelets, haematocrit, MCH and MCHC (p>0.05). The conclusion of this study is inhaled benzene concentration in workers was above REL NIOSH, 0.1 ppm, but that was still in low level exposure. The worker's blood profile still in the normal standard. Benzene exposure correlated to MCV

    An efficient approach based on trust and reputation for secured selection of grid resources

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    Security is a principal concern in offering an infrastructure for the formation of general-purpose computational grids. A number of grid implementations have been devised to deal with the security concerns by authenticating the users, hosts and their interactions in an appropriate fashion. Resource management systems that are sophisticated and secured are inevitable for the efficient and beneficial deployment of grid computing services. The chief factors that can be problematic in the secured selection of grid resources are the wide range of selection and the high degree of strangeness. Moreover, the lack of a higher degree of confidence relationship is likely to prevent efficient resource allocation and utilisation. In this paper, we present an efficient approach for the secured selection of grid resources, so as to achieve secure execution of the jobs. This approach utilises trust and reputation for securely selecting the grid resources. To start with, the self-protection capability and reputation weightage of all the entities are computed, and based on those values, the trust factor (TF) of all the entities are determined. The reputation weightage of an entity is the measure of both the user’s feedback and other entities’ feedback. Those entities with higher TF values are selected for the secured execution of jobs. To make the proposed approach more comprehensive, a novel method is employed for evaluating the user’s feedback on the basis of the existing feedbacks available regarding the entities. This approach is proved to be scalable for an increased number of user jobs and grid entities. The experimentation portrays that this approach offers desirable efficiency in the secured selection of grid resources

    Low diversity of fruit bats in the East Coast islands of Terengganu, Malaysia

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    Fruit bats are important pollinators for plants and play important ecological functions and services in the tropical rain forest. Fruit bats are considered more important for the ecological rehabilitation and health of the plant community on islands as other pollinators may not be able to fly across open sea and reach the island. This study was conducted to determine the diversity of fruit bats in three contrasting Terengganu offshore islands, namely, Pulau Perhentian, Pulau Bidong, and Pulau Redang. A total of 40 individuals of four species were captured using 10 mist nets during the 180 mist-net night sampling period from June 27, 2019 until February 29, 2020. Pulau Bidong had the highest number of bats captured (22), followed by Pulau Redang (18) and Pulau Perhentian (0). The most frequently captured species was Cynopterus brachyotis in both islands. No yield in Pulau Perhentian may be caused by tourism activity, seasonal movement following flowering and fruiting trees, or inadequate sampling effort in multiple sites. The data can be further used to determine factors in assessing threats and for future conservation by the management authorities

    Surface indicators are correlated with soil multifunctionality in global drylands

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    Multiple ecosystem functions need to be considered simultaneously to manage and protect the several ecosystem services that are essential to people and their environments. Despite this, cost effective, tangible, relatively simple and globally relevant methodologies to monitor in situ soil multifunctionality, that is, the provision of multiple ecosystem functions by soils, have not been tested at the global scale. We combined correlation analysis and structural equation modelling to explore whether we could find easily measured, field-based indicators of soil multifunctionality (measured using functions linked to the cycling and storage of soil carbon, nitrogen and phosphorus). To do this, we gathered soil data from 120 dryland ecosystems from five continents. Two soil surface attributes measured in situ (litter incorporation and surface aggregate stability) were the most strongly associated with soil multifunctionality, even after accounting for geographic location and other drivers such as climate, woody cover, soil pH and soil electric conductivity. The positive relationships between surface stability and litter incorporation on soil multifunctionality were greater beneath the canopy of perennial vegetation than in adjacent, open areas devoid of vascular plants. The positive associations between surface aggregate stability and soil functions increased with increasing mean annual temperature. Synthesis and applications. Our findings demonstrate that a reduced suite of easily measured in situ soil surface attributes can be used as potential indicators of soil multifunctionality in drylands world-wide. These attributes, which relate to plant litter (origin, incorporation, cover), and surface stability, are relatively cheap and easy to assess with minimal training, allowing operators to sample many sites across widely varying climatic areas and soil types. The correlations of these variables are comparable to the influence of climate or soil, and would allow cost-effective monitoring of soil multifunctionality under changing land-use and environmental conditions. This would provide important information for evaluating the ecological impacts of land degradation, desertification and climate change in drylands world-wide.Fil: Eldridge, David J.. University of New South Wales; AustraliaFil: Delgado Baquerizo, Manuel. Universidad Rey Juan Carlos; EspañaFil: Quero, JosĂ© L.. Universidad de CĂłrdoba; EspañaFil: Ochoa, Victoria. Universidad Rey Juan Carlos; España. Universidad de Alicante; EspañaFil: Gozalo, Beatriz. Universidad Rey Juan Carlos; España. Universidad de Alicante; EspañaFil: GarcĂ­a Palacios, Pablo. Universidad Rey Juan Carlos; EspañaFil: Escolar, Cristina. Universidad Rey Juan Carlos; EspañaFil: GarcĂ­a GĂłmez, Miguel. Universidad PolitĂ©cnica de Madrid; EspañaFil: Prina, AnĂ­bal. Universidad Nacional de La Pampa; ArgentinaFil: Bowker, Mathew A.. Northern Arizona University; Estados UnidosFil: Bran, Donaldo Eduardo. Instituto Nacional de TecnologĂ­a Agropecuaria. Centro Regional Patagonia Norte. EstaciĂłn Experimental Agropecuaria San Carlos de Bariloche; ArgentinaFil: Castro, Ignacio. Universidad Experimental SimĂłn RodrĂ­guez; VenezuelaFil: Cea, Alex. Universidad de La Serena; ChileFil: Derak, Mchich. No especifĂ­ca;Fil: Espinosa, Carlos I.. Universidad TĂ©cnica Particular de Loja; EcuadorFil: Florentino, Adriana. Universidad Central de Venezuela; VenezuelaFil: GaitĂĄn, Juan JosĂ©. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. Instituto Nacional de TecnologĂ­a Agropecuaria. Centro de InvestigaciĂłn de Recursos Naturales. Instituto de Suelos; Argentina. Universidad Nacional de LujĂĄn. Departamento de TecnologĂ­a; ArgentinaFil: Gatica, Mario Gabriel. Universidad Nacional de San Juan. Facultad de Ciencias Exactas FĂ­sicas y Naturales. Departamento de BiologĂ­a; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas FĂ­sicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaFil: GĂłmez GonzĂĄlez, Susana. Universidad de CĂĄdiz; EspañaFil: Ghiloufi, Wahida. UniversitĂ© de Sfax; TĂșnezFil: Gutierrez, Julio R.. Universidad de La Serena; ChileFil: Guzman, Elizabeth. Universidad TĂ©cnica Particular de Loja; EcuadorFil: HernĂĄndez, Rosa M.. Universidad Experimental SimĂłn RodrĂ­guez; VenezuelaFil: Hughes, Frederic M.. Universidade Estadual de Feira de Santana; BrasilFil: Muiño, Walter. Universidad Nacional de La Pampa; ArgentinaFil: Monerris, Jorge. No especifĂ­ca;Fil: Ospina, Abelardo. Universidad Central de Venezuela; VenezuelaFil: RamĂ­rez, David A.. International Potato Centre; PerĂșFil: Ribas Fernandez, Yanina Antonia. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas FĂ­sicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaFil: RomĂŁo, Roberto L.. Universidade Estadual de Feira de Santana; BrasilFil: Torres DĂ­az, Cristian. Universidad del Bio Bio; ChileFil: Koen, Terrance B.. No especifĂ­ca;Fil: Maestre, Fernando T.. Universidad Rey Juan Carlos; España. Universidad de Alicante; Españ

    Surface indicators are correlated with soil multifunctionality in global drylands

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    1. Multiple ecosystem functions need to be considered simultaneously to manage and protect the several ecosystem services that are essential to people and their environments. Despite this, cost effective, tangible, relatively simple and globally relevant methodologies to monitor in situ soil multifunctionality, that is, the provision of multiple ecosystem functions by soils, have not been tested at the global scale. 2. We combined correlation analysis and structural equation modelling to explore whether we could find easily measured, field‐based indicators of soil multifunctionality (measured using functions linked to the cycling and storage of soil carbon, nitrogen and phosphorus). To do this, we gathered soil data from 120 dryland ecosystems from five continents. 3. Two soil surface attributes measured in situ (litter incorporation and surface aggregate stability) were the most strongly associated with soil multifunctionality, even after accounting for geographic location and other drivers such as climate, woody cover, soil pH and soil electric conductivity. The positive relationships between surface stability and litter incorporation on soil multifunctionality were greater beneath the canopy of perennial vegetation than in adjacent, open areas devoid of vascular plants. The positive associations between surface aggregate stability and soil functions increased with increasing mean annual temperature. 4. Synthesis and applications. Our findings demonstrate that a reduced suite of easily measured in situ soil surface attributes can be used as potential indicators of soil multifunctionality in drylands world‐wide. These attributes, which relate to plant litter (origin, incorporation, cover), and surface stability, are relatively cheap and easy to assess with minimal training, allowing operators to sample many sites across widely varying climatic areas and soil types. The correlations of these variables are comparable to the influence of climate or soil, and would allow cost‐effective monitoring of soil multifunctionality under changing land‐use and environmental conditions. This would provide important information for evaluating the ecological impacts of land degradation, desertification and climate change in drylands world‐wide.This work was funded by the European Research Council ERC Grant agreement 242658 (BIOCOM). CYTED funded networking activities (EPES, Acción 407AC0323). D.J.E. acknowledges support from the Australian Research Council (DP150104199) and F.T.M. support from the European Research Council (BIODESERT project, ERC Grant agreement no 647038), from the Spanish Ministerio de Economía y Competitividad (BIOMOD project, ref. CGL2013-44661-R) and from a Humboldt Research Award from the Alexander von Humboldt Foundation. M.D.-B. was supported by REA grant agreement no 702057 from the Marie Sklodowska-Curie Actions of the Horizon 2020 Framework Programme H2020-MSCA-IF-2016), J.R.G. acknowledges support from CONICYT/FONDECYT no 1160026

    Characterisation of a Peripheral Neuropathic Component of the Rat Monoiodoacetate Model of Osteoarthritis

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    Joint degeneration observed in the rat monoiodoacetate (MIA) model of osteoarthritis shares many histological features with the clinical condition. The accompanying pain phenotype has seen the model widely used to investigate the pathophysiology of osteoarthritis pain, and for preclinical screening of analgesic compounds. We have investigated the pathophysiological sequellae of MIA used at low (1 mg) or high (2 mg) dose. Intra-articular 2 mg MIA induced expression of ATF-3, a sensitive marker for peripheral neuron stress/injury, in small and large diameter DRG cell profiles principally at levels L4 and 5 (levels predominated by neurones innervating the hindpaw) rather than L3. At the 7 day timepoint, ATF-3 signal was significantly smaller in 1 mg MIA treated animals than in the 2 mg treated group. 2 mg, but not 1 mg, intra-articular MIA was also associated with a significant reduction in intra-epidermal nerve fibre density in plantar hindpaw skin, and produced spinal cord dorsal and ventral horn microgliosis. The 2 mg treatment evoked mechanical pain-related hypersensitivity of the hindpaw that was significantly greater than the 1 mg treatment. MIA treatment produced weight bearing asymmetry and cold hypersensitivity which was similar at both doses. Additionally, while pregabalin significantly reduced deep dorsal horn evoked neuronal responses in animals treated with 2 mg MIA, this effect was much reduced or absent in the 1 mg or sham treated groups. These data demonstrate that intra-articular 2 mg MIA not only produces joint degeneration, but also evokes significant axonal injury to DRG cells including those innervating targets outside of the knee joint such as hindpaw skin. This significant neuropathic component needs to be taken into account when interpreting studies using this model, particularly at doses greater than 1 mg MIA
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