141 research outputs found
The Five Factor Model of personality and evaluation of drug consumption risk
The problem of evaluating an individual's risk of drug consumption and misuse
is highly important. An online survey methodology was employed to collect data
including Big Five personality traits (NEO-FFI-R), impulsivity (BIS-11),
sensation seeking (ImpSS), and demographic information. The data set contained
information on the consumption of 18 central nervous system psychoactive drugs.
Correlation analysis demonstrated the existence of groups of drugs with
strongly correlated consumption patterns. Three correlation pleiades were
identified, named by the central drug in the pleiade: ecstasy, heroin, and
benzodiazepines pleiades. An exhaustive search was performed to select the most
effective subset of input features and data mining methods to classify users
and non-users for each drug and pleiad. A number of classification methods were
employed (decision tree, random forest, -nearest neighbors, linear
discriminant analysis, Gaussian mixture, probability density function
estimation, logistic regression and na{\"i}ve Bayes) and the most effective
classifier was selected for each drug. The quality of classification was
surprisingly high with sensitivity and specificity (evaluated by leave-one-out
cross-validation) being greater than 70\% for almost all classification tasks.
The best results with sensitivity and specificity being greater than 75\% were
achieved for cannabis, crack, ecstasy, legal highs, LSD, and volatile substance
abuse (VSA).Comment: Significantly extended report with 67 pages, 27 tables, 21 figure
What can comparative genomics tell us about species concepts in the genus Aspergillus?
Understanding the nature of species” boundaries is a fundamental
question in evolutionary biology. The availability of genomes from several
species of the genus Aspergillus allows us for the first time to
examine the demarcation of fungal species at the whole-genome level. Here, we
examine four case studies, two of which involve intraspecific comparisons,
whereas the other two deal with interspecific genomic comparisons between
closely related species. These four comparisons reveal significant variation
in the nature of species boundaries across Aspergillus. For example,
comparisons between A. fumigatus and Neosartorya fischeri
(the teleomorph of A. fischerianus) and between A. oryzae
and A. flavus suggest that measures of sequence similarity and
species-specific genes are significantly higher for the A. fumigatus
- N. fischeri pair. Importantly, the values obtained from the
comparison between A. oryzae and A. flavus are remarkably
similar to those obtained from an intra-specific comparison of A.
fumigatus strains, giving support to the proposal that A. oryzae
represents a distinct ecotype of A. flavus and not a distinct
species. We argue that genomic data can aid Aspergillus taxonomy by
serving as a source of novel and unprecedented amounts of comparative data, as
a resource for the development of additional diagnostic tools, and finally as
a knowledge database about the biological differences between strains and
species
Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.
BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362
A joint Fermi-GBM and Swift-BAT analysis of gravitational-wave candidates from the third gravitational-wave observing run
We present Fermi Gamma-ray Burst Monitor (Fermi-GBM) and Swift Burst Alert Telescope (Swift-BAT) searches for gamma-ray/X-ray counterparts to gravitational-wave (GW) candidate events identified during the third observing run of the Advanced LIGO and Advanced Virgo detectors. Using Fermi-GBM onboard triggers and subthreshold gamma-ray burst (GRB) candidates found in the Fermi-GBM ground analyses, the Targeted Search and the Untargeted Search, we investigate whether there are any coincident GRBs associated with the GWs. We also search the Swift-BAT rate data around the GW times to determine whether a GRB counterpart is present. No counterparts are found. Using both the Fermi-GBM Targeted Search and the Swift-BAT search, we calculate flux upper limits and present joint upper limits on the gamma-ray luminosity of each GW. Given these limits, we constrain theoretical models for the emission of gamma rays from binary black hole mergers
Comparison of Target Antigens of Monoclonal Reagents OKT5, OKT8, and Leu2A, which Inhibit Effector Function of Human Cytotoxic T Lymphocytes
The history of Stockton and Thornaby in maps An album of reproductions of old maps and plans, with text, illustrating the development of the two municipal boroughs
3.95; Incl. 21 mapsSIGLEAvailable from British Library Lending Division - LD:OP-LG/645 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Mutant Huntingtin promotes autonomous microglia activation via myeloid lineage-determining factors
Huntington's disease (HD) is a fatal neurodegenerative disorder caused by an extended polyglutamine repeat in the N terminus of the Huntingtin protein (HTT). Reactive microglia and elevated cytokine levels are observed in the brains of HD patients, but the extent to which neuroinflammation results from extrinsic or cell-autonomous mechanisms in microglia is unknown. Using genome-wide approaches, we found that expression of mutant Huntingtin (mHTT) in microglia promoted cell-autonomous pro-inflammatory transcriptional activation by increasing the expression and transcriptional activities of the myeloid lineage-determining factors PU.1 and C/EBPs. We observed elevated levels of PU.1 and its target genes in the brains of mouse models and individuals with HD. Moreover, mHTT-expressing microglia exhibited an increased capacity to induce neuronal death ex vivo and in vivo in the presence of sterile inflammation. These findings suggest a cell-autonomous basis for enhanced microglia reactivity that may influence non-cell-autonomous HD pathogenesis
Cell surface Lactobacillus plantarum LA 318 glyceraldehyde-3-phosphate dehydrogenase (GAPDH) adheres to human colonic mucin
- …