218 research outputs found

    ATLANTIDES: Automatic Configuration for Alert Verification in Network Intrusion Detection Systems

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    We present an architecture designed for alert verification (i.e., to reduce false positives) in network intrusion-detection systems. Our technique is based on a systematic (and automatic) anomaly-based analysis of the system output, which provides useful context information regarding the network services. The false positives raised by the NIDS analyzing the incoming traffic (which can be either signature- or anomaly-based) are reduced by correlating them with the output anomalies. We designed our architecture for TCP-based network services which have a client/server architecture (such as HTTP). Benchmarks show a substantial reduction of false positives between 50% and 100%

    Over de bepaling van phosphorzuur volgens de citro-uraanmethode

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    Dietary Patterns in Italy and the Risk of Renal Cell Carcinoma

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    Background: Conclusive evidence on foods, nutrients, or dietary patterns and the risk of renal cell carcinoma (RCC) is lacking in the literature. Methods: We considered data from an Italian hospital-based case\u2013control study (1992\u20132004) on 767 incident RCC cases and 1534 controls. A posteriori dietary patterns were identified by applying principal component factor analysis on 28 nutrients derived from a 78-item food-frequency questionnaire. We estimated the odds ratios (ORs) of RCC and corresponding 95% confidence intervals (CIs) for each quartile category (compared to the lowest one) using conditional multiple logistic regression models providing adjustment for major confounding factors. Results: We identified four dietary patterns, named \u201cAnimal products\u201d, \u201cStarch-rich\u201d, \u201cVitamins and fiber\u201d, and \u201cCooking oils and dressings\u201d. Higher intakes of the \u201cStarch-rich\u201d pattern were positively associated with RCC risk (OR = 1.38, 95% CI: 1.04\u20131.82 for the highest quartile, p = 0.018). The association was inverse with the \u201cCooking oils and dressings\u201d pattern (OR = 0.61, 95% CI: 0.47\u20130.80, p < 0.001), whereas no association was found with \u201cAnimal products\u201d and \u201cVitamins and fiber\u201d patterns. Conclusions: Higher intakes of starch-related foods may increase RCC risk, whereas consumption of olive and seed oils may favorably influence RCC risk

    Opening the black box: soil microcosm experiments reveal soot black carbon short-term oxidation and influence on soil organic carbon mineralisation

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    Soils hold three quarters of the total organic carbon (OC) stock in terrestrial ecosystems and yet we fundamentally lack detailed mechanistic understanding of the turnover of major soil OC pools. Black carbon (BC), the product of the incomplete combustion of fossil fuels and biomass, is ubiquitous in soils globally. Although BC is a major soil carbon pool, its effects on the global carbon cycle have not yet been resolved. Soil BC represents a large stable carbon pool turning over on geological timescales, but research suggests it can alter soil biogeochemical cycling including that of soil OC. Here, we established two soil microcosm experiments: experiment one added 13C OC to soil with and without added BC (soot or biochar) to investigate whether it suppresses OC mineralisation; experiment two added 13C BC (soot) to soil to establish whether it is mineralised in soil over a short timescale. Gases were sampled over six-months and analysed using isotope ratio mass spectrometry. In experiment one we found that the efflux of 13C OC from soil decreased over time, but the addition of soot to soil significantly reduced the mineralisation of OC from 32% of the total supplied without soot to 14% of the total supplied with soot. In contrast, there was not a significant difference after the addition of biochar in the flux of 13C from the OC added to the soil. In experiment two, we found that the efflux 13C from soil with added 13C soot significantly differed from the control, but this efflux declined over time. There was a cumulative loss of 0.17% 13C from soot over the experiment. These experimental results represent a step-change in understanding the influence of BC continuum on carbon dynamics, which has major consequences for the way we monitor and manage soils for carbon sequestration in future

    Dietary intake of branched-chain amino acids and colorectal cancer risk

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    ABSTACTAn adequate intake of branched-chain amino acids (BCAAs) is required for protein synthesis and metabolic functions, including insulin metabolism. Emerging studies found positive associations between BCAAs and the risk of various diseases sharing etiological aspects with colorectal cancer (CRC), including type 2 diabetes, obesity, and pancreatic cancer.We investigated the relation between dietary BCAAs and CRC using data from a multicentric Italian case-control study, including 1953 cases of CRC (of these, 442 of sigmoid colon) and 4154 hospital controls with acute, non-neoplastic diseases. A validated food-frequency questionnaire was used to estimate the participants' usual diet and to assess dietary intakes of various nutrients, including energy, BCAAs and calcium. Odds ratio (ORs) and corresponding confidence intervals (CI) were computed by multiple logistic regression models adjusted for age, sex and other confounding factors, including total energy intake.BCAA intake was inversely related to CRC risk (OR for the highest versus the lowest quintile, 0.73; 95% CI, 0.55-0.97), but the association was attenuated after adjustment for calcium intake (OR, 0.90; 95% CI, 0.65-1.25). A linear inverse association with sigmoid colon cancer risk remained also after adjustment for other dietary factors, including calcium intake (OR, 0.49; 95% CI, 0.27-0.87).This study provides supporting evidence that higher levels of dietary BCAA intake are not associated with an increase of CRC risk, but confirms that they may be related to a reduced risk of sigmoid colon cancer

    Transgenic mouse model harboring the transcriptional fusion Ccl20-luciferase as a novel reporter of pro-inflammatory response

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    The chemokine CCL20, the unique ligand of CCR6 functions as an attractant of immune cells. Expression of CCL20 is induced by Toll-like Receptor (TLR) signaling or proinflammatory cytokine stimulation. However CCL20 is also constitutively produced at specific epithelial sites of mucosa. This expression profile is achieved by transcriptional regulation. In the present work we characterized regulatory features of mouse Ccl20 gene. Transcriptional fusions between the mouse Ccl20 promoter and the firefly luciferase (luc) encoding gene were constructed and assessed in in vitro and in vivo assays. We found that liver CCL20 expression and luciferase activity were upregulated by systemic administration of the TLR5 agonist flagellin. Using shRNA and dominant negative form specific for mouse TLR5, we showed that this expression was controlled by TLR5. To address in situ the regulation of gene activity, a transgenic mouse line harboring a functional Ccl20-luc fusion was generated. The luciferase expression was highly concordant with Ccl20 expression in different tissues. Our data indicate that the transgenic mouse model can be used to monitor activation of innate response in vivo.Laboratorio de Investigaciones del Sistema InmuneFacultad de Ciencias Exacta

    Diabetes risk reduction diet and endometrial cancer risk

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    Diabetes increases endometrial cancer risk. We investigated the role of a diabetes risk reduction diet (DRRD) on the risk of endometrial cancer using data from a multicentric, Italian hospital-based case–control study (1992–2006) enrolling 454 histologically confirmed cases of endometrial cancer and 908 controls matched by age and center. We derived a DRRD score assigning higher scores for higher intakes of cereal fiber, fruit, coffee, polyunsaturated:saturated fatty acid ratio, and nuts and for lower glycemic load and lower intakes of red/processed meat and sugar-sweetened beverages/fruit juices. The odds ratios (OR) of endometrial cancer according to the DRRD score were derived by multiple conditional logistic regression models. The OR for high (DRRD score >24, i.e., third tertile) versus medium–low adherence to the DRRD was 0.73 (95% confidence interval, CI, 0.55–0.97). Similar results were observed after the exclusion of diabetic women (OR 0.75; 95% CI, 0.56–1.00) and allowance for total vegetable consumption (OR 0.80; 95% CI, 0.60–1.07). Inverse associations were observed in most of the analyzed subgroups. The OR for high DRRD combined with high vegetable consumption was 0.45 (95% CI, 0.28–0.73). Our results suggest that diets able to reduce diabetes risk may also reduce endometrial cancer risk. High vegetable consumption combined with high adherence to the DRRD may provide additional benefit in endometrial cancer prevention

    Association between Nutrient-Based Dietary Patterns and Bladder Cancer in Italy

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    Limited knowledge is available on dietary patterns and bladder cancer risk. We analyzed data from an Italian case-control study carried out between 2003 and 2014, including 690 incident bladder cancer cases and 665 hospital-controls. We derived nutrient-based dietary patterns applying principal component factor analysis on 28 selected nutrients. We categorized factor scores according to quartiles, and estimated the odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) through logistic regression models, adjusted for major confounding factors. We identified four dietary patterns named "Animal products", "Vitamins and fiber", "Starch-rich", and "Animal unsaturated fatty acids". We found an inverse association between the "Vitamins and fiber" pattern and bladder cancer (OR = 0.70, 95% CI: 0.48-0.99, IV versus I quartile category). Inverse relationships of borderline significance were also found for the "Animal products" and the "Animal unsaturated fatty acids" dietary patterns. No significant association was evident for the "Starch-rich" pattern. The current study allowed us to identify major dietary patterns in this Italian population. Our study confirms available evidence and shows that scoring high on a fruit-and-vegetables pattern provides beneficial effects on bladder cancer risk

    Clinical evidence of efficacy of red yeast rice and berberine in a large controlled study versus diet

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    Efficacy of a new patented proprietary combination of natural nutraceuticals (PN) containing natural hypolipidemic as red yeast, policosanol and berberine was tested in a large study on dyslipidemic patients in clinical practice. A parallel, controlled, randomized, multicenter study was designed. After 2 weeks on a stable dietary regimen, the patients were randomized to PN 1 tablet/day associated with diet (PN + D) or diet alone (D) for 16 weeks. Entry criteria were: Tot-Chol >200 mg/dL or LDL-Chol >150 mg/dL without a clear indication for statins, or plasma triglycerides >150 mg/dL. Lipid pattern and CV parameters were evaluated at baseline and monthly. 1,751 patients were enrolled in 248 Italian units, 933 patients on PN + D and 818 on D. The baseline lipid values were: Tot-Chol 255.4 versus 243.1 mg/dL, LDL-Chol 170.1 versus 162.2 mg/dL, HDL-Chol 50.0 versus 48.8 mg/dL, and TG 190.5 versus 184.4 mg/dL. PN constantly and significantly improved lipid parameters versus D group: at 16 weeks −19.1 versus −9.4% for Tot-Chol (p < 0.001), −23.5 versus −10.8% for LDL-Chol (p < 0.001), +11.6 versus +4.0% for HDL-Chol (p < 0.001), −17.9 versus −11.3% for TG (p < 0.001). In conclusions, PN plus diet allows an effective improvement of blood lipids with a significant reduction of global CV risk, suggesting a role for PN in CHD prevention

    Multidimensional statistical technique for interpreting the spontaneous breakthrough cancer pain phenomenon. A secondary analysis from the IOPS-MS study

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    : Breakthrough cancer pain (BTcP) is a temporary exacerbation of pain that "breaks through" a phase of adequate pain control by an opioid-based therapy. The non-predictable BTcP (NP-BTcP) is a subtype of BTcP that occurs in the absence of any specific activity. Since NP-BTcP has an important clinical impact, this analysis is aimed at characterizing the NP-BTcP phenomenon through a multidimensional statistical technique. This is a secondary analysis based on the Italian Oncologic Pain multiSetting-Multicentric Survey (IOPS-MS). A correlation analysis was performed to characterize the NP-BTcP profile about its intensity, number of episodes per day, and type. The multiple correspondence analysis (MCA) determined the identification of four groups (phenotypes). A univariate analysis was performed to assess differences between the four phenotypes and selected covariates. The four phenotypes represent the hierarchical classification according to the status of NP-BTcP: from the best (phenotype 1) to the worst (phenotype 4). The univariate analysis found a significant association between the onset time &gt;10 min in the phenotype 1 (37.3%)' vs. the onset &gt; 10 min in phenotype 4 (25.8%) (p &lt; 0.001). Phenotype 1 was characterized by the gastrointestinal type of cancer (26.4%) with respect to phenotype 4, where the most frequent cancer affected the lung (28.8%) (p &lt; 0.001). Phenotype 4 was mainly managed with rapid-onset opioids, while in phenotype 1, many patients were treated with oral, subcutaneous, or intravenous morphine (56.4% and 44.4%, respectively; p = 0.008). The ability to characterize NP-BTcP can offer enormous benefits for the management of this serious aspect of cancer pain. Although requiring validation, this strategy can provide many indications for identifying the diagnostic and therapeutic gaps in NP-BTcP management
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