2,326 research outputs found

    FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification

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    This paper introduces a novel real-time Fuzzy Supervised Learning with Binary Meta-Feature (FSL-BM) for big data classification task. The study of real-time algorithms addresses several major concerns, which are namely: accuracy, memory consumption, and ability to stretch assumptions and time complexity. Attaining a fast computational model providing fuzzy logic and supervised learning is one of the main challenges in the machine learning. In this research paper, we present FSL-BM algorithm as an efficient solution of supervised learning with fuzzy logic processing using binary meta-feature representation using Hamming Distance and Hash function to relax assumptions. While many studies focused on reducing time complexity and increasing accuracy during the last decade, the novel contribution of this proposed solution comes through integration of Hamming Distance, Hash function, binary meta-features, binary classification to provide real time supervised method. Hash Tables (HT) component gives a fast access to existing indices; and therefore, the generation of new indices in a constant time complexity, which supersedes existing fuzzy supervised algorithms with better or comparable results. To summarize, the main contribution of this technique for real-time Fuzzy Supervised Learning is to represent hypothesis through binary input as meta-feature space and creating the Fuzzy Supervised Hash table to train and validate model.Comment: FICC201

    Biosorption of Mercury by Bacteria, Isolated from Industrial Effluents: Potential Use in Bioremediation of Wastewater

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    Abstract.-Two mercury resistant bacterial strains-Pseudomonas aeruginosa and Pseudomonas sp. H1-G1 were isolated from industrial wastewater of Sialkot (Pakistan 650, 350, 150, 550, 50, and 250 µg/mL, respectively. The isolates showed typical growth curves but lag and log phases extended in the presence of mercury. Both isolates showed optimum growth at 37ºC and pH 8-9. Metal processing ability of the isolates was determined in a medium containing 100 µg/mL of Hg 2+ . Both Pseudomonas aeruginosa and Pseudomonas. sp. H1-G1 could reduce 90% of mercury from the medium after 40 hours of incubation at 37ºC. Both bacterial strains have shown remarkable ability to uptake metal ions from the culture medium. Pseudomonas aeruginosa was observed to uptake 75% and Pseudomonas sp. H1-G1 65% of Hg 2+ from the medium after 24 hours of incubation at 37 o C. The isolated strains can be exploited for specific environmental clean-up operations

    Extreme hydrological changes in the southwestern US drive reductions in water supply to Southern California by mid century

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    The Southwestern United States has a greater vulnerability to climate change impacts on water security due to a reliance on snowmelt driven imported water. The State of California, which is the most populous and agriculturally productive in the United States, depends on an extensive artificial water storage and conveyance system primarily for irrigated agriculture, municipal and industrial supply and hydropower generation. Here we take an integrative high-resolution ensemble modeling approach to examine near term climate change impacts on all imported and local sources of water supply to Southern California. While annual precipitation is projected to remain the same or slightly increase, rising temperatures result in a shift towards more rainfall, reduced cold season snowpack and earlier snowmelt. Associated with these hydrological changes are substantial increases in the frequency and the intensity of both drier conditions and flooding events. The 50 year extreme daily maximum precipitation and runoff events are 1.5–6 times more likely to occur depending on the water supply basin. Simultaneously, a clear deficit in total annual runoff over mountainous snow generating regions like the Sierra Nevada is projected. On one hand, the greater probability of drought decreases imported water supply availability. On the other hand, earlier snowmelt and significantly stronger winter precipitation events pose increased flood risk requiring water releases from control reservoirs, which may potentially decrease water availability outside of the wet season. Lack of timely local water resource expansion coupled with projected climate changes and population increases may leave the area in extended periods of shortages

    In vivo Effect of Spinosad on Proteases of Insecticide-Resistant and Susceptible Strains of Musca domestica

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    Abstract.-To further elucidate the possible involvement of intracellular protein catabolism in the development of resistance to insecticides, we determined in vivo effect of one of the environment friendly naturalite insecticide available and marketed in Pakistan, spinosad, on the activities of cytoplasmic and lysosomal proteases in insecticideresistant and -susceptible strains of adult houseflies, Musca domestica (Muscidae: Diptera) under laboratory conditions. Spinosad at LD 50 dose level after 48 hour treatment decreased all cytoplasmic proteases in living (ranging from 21 to 93%) and dead flies (ranging from 20 to 97%) in susceptible strain except proline endopeptidase which was increased considerably. Likewise spinosad also depleted all proteases in live (in the range of 28-74%) and the dead flies (in the range of 41-82%) except proline endopeptidase which was elevated. The results also showed considerably higher levels of all cytoplasmic (54 to 95%) and lysosomal proteases (142 to 158%) in control groups of resistant compared with susceptible strains. This probably reveals the efficacy of spinosad to control the resistant strain of M. domestica effectively and suggests involvement of proteases in the development of insect resistance to this insecticide

    The role of tropical-extratropical interaction and synoptic variability in maintaining the South Pacific Convergence Zone in CMIP5 models

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    The South Pacific Convergence Zone (SPCZ) is simulated as too zonal a feature in current generation climate models, including those in Phase 5 of the Coupled Model Intercomparison Project (CMIP5). This zonal bias induces errors in tropical convective heating, with subsequent effects on global circulation. The SPCZ structure, particularly in the subtropics, is governed by the tropical-extratropical interaction between transient synoptic systems and the mean background state. However, the fidelity of synoptic-scale interactions as simulated by CMIP5 models has not yet been evaluated. In this study, analysis of synoptic variability in the simulated subtropical SPCZ reveals that the basic mechanism of tropical-extratropical interaction is generally well simulated, with storms approaching the SPCZ along comparable trajectories to observations. However, there is a broad spread in mean precipitation and its variability across the CMIP5 ensemble. Inter-model spread appears to relate to a biased background state in which the synoptic waves propagate. In particular, the region of mean negative zonal stretching deformation or "storm graveyard" in the upper troposphere?a feature previously determined to play a key role in SPCZ-storm interactions?is typically displaced in CMIP5 models to the northeast of its position in reanalysis data, albeit with individual model graveyards displaying a pronounced (25 degree) longitudinal spread. From these findings, we suggest that SPCZs simulated by CMIP5 models are not simply too zonal; rather, in models the subtropical SPCZ manifests a diagonal tilt similar to observations while SST biases force an overly zonal tropical SPCZ, resulting in a more disjointed SPCZ than observed

    Interactions of Mean Climate Change and Climate Variability on Food Security Extremes

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    Recognizing that climate change will affect agricultural systems both through mean changes and through shifts in climate variability and associated extreme events, we present preliminary analyses of climate impacts from a network of 1137 crop modeling sites contributed to the AgMIP Coordinated Climate-Crop Modeling Project (C3MP). At each site sensitivity tests were run according to a common protocol, which enables the fitting of crop model emulators across a range of carbon dioxide, temperature, and water (CTW) changes. C3MP can elucidate several aspects of these changes and quantify crop responses across a wide diversity of farming systems. Here we test the hypothesis that climate change and variability interact in three main ways. First, mean climate changes can affect yields across an entire time period. Second, extreme events (when they do occur) may be more sensitive to climate changes than a year with normal climate. Third, mean climate changes can alter the likelihood of climate extremes, leading to more frequent seasons with anomalies outside of the expected conditions for which management was designed. In this way, shifts in climate variability can result in an increase or reduction of mean yield, as extreme climate events tend to have lower yield than years with normal climate.C3MP maize simulations across 126 farms reveal a clear indication and quantification (as response functions) of mean climate impacts on mean yield and clearly show that mean climate changes will directly affect the variability of yield. Yield reductions from increased climate variability are not as clear as crop models tend to be less sensitive to dangers on the cool and wet extremes of climate variability, likely underestimating losses from water-logging, floods, and frosts

    Copy number alterations in pancreatic cancer identify recurrent PAK4 amplification

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    Pancreatic cancer is one of the most lethal of all cancers. The median survival is 6 months, and less than 5% of those diagnosed survive 5-years. Recurrent genetic deletions and amplifications in 73 pancreatic adenocarcinomas, the largest sample set analyzed to date for pancreatic cancer, were defined using comparative genomic hybridization The recurrent genetic alterations identified target a number of previously well-characterized genes, as well as regions that contain possible new oncogenes and tumor suppressor genes. We have focused on chromosome 19q13, a region frequently found amplified in pancreatic cancer, and demonstrate how boundaries of common regions of mutation can be mapped, and how a gene, in this case PAK4 amplified on chromosome19q13, can be functionally validated. We show that although the PAK4 gene is not activated by mutation in cell lines with gene amplification, an oncogenic form of the KRAS2 gene is present in these cells, and oncogenic KRAS2 can activate PAK4. In fact in the three samples we identified with PAK4 gene amplification, the KRAS2 gene was activated and genomically amplified. The kinase activity of the PAK4 protein is significantly higher in cells with genomic amplification as compared to cells without amplification. Our study demonstrates the utility of analyzing copy number data in a large set of neoplasms to identify genes involved in cancer. We have generated a useful dataset which will be particularly useful for the pancreatic cancer community as efforts are undertaken to sequence the pancreatic cancer genome

    The Antioxidant Potential of the Mediterranean Diet in Patients at High Cardiovascular Risk: An In-Depth Review of the PREDIMED

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    Cardiovascular disease (CVD) is the leading global cause of death. Diet is known to be important in the prevention of CVD. The PREDIMED trial tested a relatively low-fat diet versus a high-fat Mediterranean diet (MedDiet) for the primary prevention of CVD. The resulting reduction of the CV composite outcome resulted in a paradigm shift in CV nutrition. Though many dietary factors likely contributed to this effect, this review focuses on the influence of the MedDiet on endogenous antioxidant systems and the effect of dietary polyphenols. Subgroup analysis of the PREDIMED trial revealed increased endogenous antioxidant and decreased pro-oxidant activity in the MedDiet groups. Moreover, higher polyphenol intake was associated with lower incidence of the primary outcome, overall mortality, blood pressure, inflammatory biomarkers, onset of new-onset type 2 diabetes mellitus (T2DM), and obesity. This suggests that polyphenols likely contributed to the lower incidence of the primary event in the MedDiet groups. In this article, we summarize the potential benefits of polyphenols found in the MedDiet, specifically the PREDIMED cohort. We also discuss the need for further research to confirm and expand the findings of the PREDIMED in a non-Mediterranean population and to determine the exact mechanisms of action of polyphenols
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