397 research outputs found
Proposing to use artificial neural Networks for NoSQL attack detection
[EN] Relationships databases have enjoyed a certain boom in software
worlds until now. These days, with the rise of modern applications, unstructured
data production, traditional databases do not completely meet the needs of all
systems. Regarding these issues, NOSQL databases have been developed and
are a good alternative. But security aspects stay behind. Injection attacks are the
most serious class of web attacks that are not taken seriously in NoSQL.
This paper presents a Neural Network model approach for NoSQL injection.
This method attempts to use the best and most effective features to identify an
injection. The features used are divided into two categories, the first one based
on the content of the request, and the second one independent of the request
meta parameters. In order to detect attack payloads features, we work on
character level analysis to obtain malicious rate of user inputs. The results
demonstrate that our model has detected more attack payloads compare with
models that work black list approach in keyword level
Electrical properties and I–V characteristics of 5,14-dihydro-5,7,12,14-tetraazapentacene doped Schottky barrier diode
Intracellular modulation of excited-state dynamics in a chromophore dyad: Differential enhancement of photocytotoxicity targeting cancer cells
The photosensitized generation of reactive oxygen species, and particularly of singlet oxygen [O2(a1Δg)], is the essence of photodynamic action exploited in photodynamic therapy. The ability to switch singlet oxygen generation on/off would be highly valuable, especially when it is linked to a cancer-related cellular parameter. Building on recent findings related to intersystem crossing efficiency, we designed a dimeric BODIPY dye with reduced symmetry, which is ineffective as a photosensitizer unless it is activated by a reaction with intracellular glutathione (GSH). The reaction alters the properties of both the ground and excited states, consequently enabling the efficient generation of singlet oxygen. Remarkably, the designed photosensitizer can discriminate between different concentrations of GSH in normal and cancer cells and thus remains inefficient as a photosensitizer inside a normal cell while being transformed into a lethal singlet oxygen source in cancer cells. This is the first demonstration of such a difference in the intracellular activity of a photosensitizer. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Prediction of the survival and functional ability of severe stroke patients after ICU therapeutic intervention
<p>Abstract</p> <p>Background</p> <p>This study evaluated the benefits and impact of ICU therapeutic interventions on the survival and functional ability of severe cerebrovascular accident (CVA) patients.</p> <p>Methods</p> <p>Sixty-two ICU patients suffering from severe ischemic/haemorrhagic stroke were evaluated for CVA severity using APACHE II and the Glasgow coma scale (GCS). Survival was determined using Kaplan-Meier survival tables and survival prediction factors were determined by Cox multivariate analysis. Functional ability was assessed using the stroke impact scale (SIS-16) and Karnofsky score. Risk factors, life support techniques and neurosurgical interventions were recorded. One year post-CVA dependency was investigated using multivariate analysis based on linear regression.</p> <p>Results</p> <p>The study cohort constituted 6% of all CVA (37.8% haemorrhagic/62.2% ischemic) admissions. Patient mean(SD) age was 65.8(12.3) years with a 1:1 male: female ratio. During the study period 16 patients had died within the ICU and seven in the year following hospital release.</p> <p>The mean(SD) APACHE II score at hospital admission was 14.9(6.0) and ICU mean duration of stay was 11.2(15.4) days. Mechanical ventilation was required in 37.1% of cases. Risk ratios were; GCS at admission 0.8(0.14), (p = 0.024), APACHE II 1.11(0.11), (p = 0.05) and duration of mechanical ventilation 1.07(0.07), (p = 0.046). Linear coefficients were: type of CVA – haemorrhagic versus ischemic: -18.95(4.58) (p = 0.007), GCS at hospital admission: -6.83(1.08), (p = 0.001), and duration of hospital stay -0.38(0.14), (p = 0.40).</p> <p>Conclusion</p> <p>To ensure a better prognosis CVA patients require ICU therapeutic interventions. However, as we have shown, where tests can determine the worst affected patients with a poor vital and functional outcome should treatment be withheld?</p
The Age-Metallicity Relation in the Thin Disk of the Galaxy
HST trigonometric distances, photometric metallicities, isochronic ages from
the second revised version of the Geneva--Copenhagen survey, and uniform
spectroscopic Fe and Mg abundances from our master catalog are used to
construct and analyze the age--metallicity and age-relative Mg abundance
relations for stars of the thin disk. The influences of selection effects are
discussed in detail. It is demonstrated that the radial migration of stars does
not lead to appreciable distortions in the age dependence of the metallicity.
During the first several billion years of the formation of the thin disk, the
interstellar material in this disk was, on average, fairly rich in heavy
elements ( ~-0.2) and poorly mixed. However, the metallicity dispersion
continuously decreased with age, from \sigma_{[Fe/H]}~0.22 to ~0.13. All this
time, the mean relative abundance of Mg was somewhat higher than the solar
value (~0.1). Roughly four to five billion years ago, the mean
metallicity began to systematically increase, while retaining the same
dispersion; the mean relative Mg abundance began to decrease immediately
following this. The number of stars in this subsystem increased sharply at the
same time. These properties suggest that the star-formation rate was low in the
initial stage of formation of the thin disk, but abruptly increased about four
to five billion years ago.Comment: 16 page, 7 figures, accepted 2011, Astron. Rep., v.55, No.8,
p.667-68
Recent Advancements in the LC- and GC-Based Analysis of Malondialdehyde (MDA): A Brief Overview
Malondialdehyde (MDA) is an end-product of lipid peroxidation and a side product of thromboxane A2 synthesis. Moreover, it is not only a frequently measured biomarker of oxidative stress, but its high reactivity and toxicity underline the fact that this molecule is more than “just” a biomarker. Additionally, MDA was proven to be a mutagenic substance. Having said this, it is evident that there is a major interest in the highly selective and sensitive analysis of this molecule in various matrices. In this review, we will provide a brief overview of the most recent developments and techniques for the liquid chromatography (LC) and gas chromatography (GC)-based analysis of MDA in different matrices. While the 2-thiobarbituric acid assay still is the most prominent methodology for determining MDA, several advanced techniques have evolved, including GC–MS(MS), LC–MS(MS) as well as several derivatization-based strategies
The links between health-related behaviors and life satisfaction in elderly individuals who prefer institutional living
BACKGROUND: Life satisfaction among residents of institutions is becoming an important issue in a rapidly aging population. The aim of this cross-sectional study was to investigate the links between life satisfaction and health-related behaviors amongst functionally independent elderly people who prefer institutional living in İstanbul, Turkey. METHODS: The socio-demographic characteristics, health-related behaviors, leisure-time activities and fall histories of 133 residents of an institution in Istanbul were assessed by a structured questionnaire during face-to-face interviews. A validated life-satisfaction index questionnaire (LSI-A) was completed. RESULTS: The mean age of the study group was 73.9 ± 8.0 (range 60–90 years). Within the group, 22.6% had never married and 14.3% had university degrees. The majority (71.4%) were in the low income bracket. The overall mean LSI-A score was 20.3 ± 5.9. Participants who declared moderate/high income levels had a significantly higher mean LSI-A score than those in the low-income bracket (p = 0.009). Multivariate analysis of the data suggested that leisure-time activities and participation in regular physical activities are significant predictors of LSI-A scores (R(2): 0.112; p = 0.005 and p = 0.02, respectively). CONCLUSION: The findings imply that regular physical activity and leisure-time activities are significantly related to life satisfaction among residents in institutions. Participation in physical activity and leisure-time activity programs may help to improve the life satisfaction of elderly people living in institutions
The active metabolite of leflunomide, A77 1726, attenuates inflammatory arthritis in mice with spontaneous arthritis via induction of heme oxygenase-1
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