1,511 research outputs found
Investigation of reward learning and feedback sensitivity in non-clinical participants with a history of early life stress
Comparison of conventional and rapid acting antidepressants in a rodent probabilistic reversal learning task
F*** workflows: when parts of FAIR are missing
The FAIR principles for scientific data (Findable, Accessible, Interoperable,
Reusable) are also relevant to other digital objects such as research software
and scientific workflows that operate on scientific data. The FAIR principles
can be applied to the data being handled by a scientific workflow as well as
the processes, software, and other infrastructure which are necessary to
specify and execute a workflow. The FAIR principles were designed as
guidelines, rather than rules, that would allow for differences in standards
for different communities and for different degrees of compliance. There are
many practical considerations which impact the level of FAIR-ness that can
actually be achieved, including policies, traditions, and technologies. Because
of these considerations, obstacles are often encountered during the workflow
lifecycle that trace directly to shortcomings in the implementation of the FAIR
principles. Here, we detail some cases, without naming names, in which data and
workflows were Findable but otherwise lacking in areas commonly needed and
expected by modern FAIR methods, tools, and users. We describe how some of
these problems, all of which were overcome successfully, have motivated us to
push on systems and approaches for fully FAIR workflows.Comment: 6 pages, 0 figures, accepted to ERROR 2022 workshop (see
https://error-workshop.org/ for more information), to be published in
proceedings of IEEE eScience 202
Attachment and Non-Suicidal Self-Injury among Young Adolescents: The Indirect Role of Behavioral Problems.
Non-suicidal self-injury (NSSI) often occurs before age 15, yet the majority of research on risk factors for this dangerous behavior has focused on samples of older participants. Insecure attachment has been previously identified as a risk factor for both NSSI and behavioral problems, and behavioral problems appear to be particularly associated with NSSI among young populations. Redressing the lack of young adolescent NSSI research, the present study uses longitudinal data from a sample of young adolescents to test a model in which insecure attachment acts as a prospective risk factor for NSSI via emotional and behavioral problems. Data on NSSI, child-mother attachment, and emotional and behavioral problems were collected from 559 (41.1% male) Flemish adolescents when they were 13 years old (Mā=ā12.71, SD =0.32), and again 1 year later. Insecure attachment was measured using maternal items on the Experiences in Close Relationships-Revised Child scale. Psychological adjustment was assessed with the Strengths and Difficulties Questionnaire. We found that anxious and avoidant attachment were indirectly associated with NSSI through behavioral problems but not through emotional problems. Findings highlight the role of behavioral problems as a risk factor for NSSI in early adolescence, a rarely studied developmental period during which NSSI often first starts. Findings suggest that one possible pathway for the attachment-NSSI association among young adolescents is through behavioral problems. Therapies that improve child-parent attachment may reduce NSSI among young adolescents both directly, and indirectly by improving behavioral problems
Highlights of the Zeno Results from the USMP-2 Mission
The Zeno instrument, a High-precision, light-scattering spectrometer, was built to measure the decay rates of density fluctuations in xenon near its liquid-vapor critical point in the low-gravity environment of the U.S. Space Shuttle. Eliminating the severe density gradients created in a critical fluid by Earth's gravity, we were able to make measurements to within 100 microKelvin of the critical point. The instrument flew for fourteen days in March, 1994 on the Space Shuttle Columbia, STS-62 flight, as part of the very successful USMP-2 payload. We describe the instrument and document its performance on orbit, showing that it comfortably reached the desired 3 microKelvin temperature control of the sample. Locating the critical temperature of the sample on orbit was a scientific challenge; we discuss the advantages and short-comings of the two techniques we used. Finally we discuss problems encountered with making measurements of the turbidity of the sample, and close with the results of the measurement of the decay rates of the critical-point fluctuations
Programmed death ligand 1 is over-expressed by neutrophils in the blood of patients with active tuberculosis
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains one of the world's largest infectious disease problems. Despite decades of intensive study, the immune response to Mtb is incompletely characterised, reflecting the extremely complex interaction between pathogen and host. Pathways that may alter the balance between host protection and pathogenesis are therefore of great interest. One pathway shown to play a role in the pathogenesis of chronic infections, including TB, is the programmed death-1 (PD-1) pathway. We show here that the expression of the programmed death ligand 1 (PD-L1), which interacts with PD-1, is increased in whole blood from active TB patients compared with whole blood from healthy controls or Mtb-exposed individuals, and that expression by neutrophils is largely responsible for this increase
Blending of nanoscale and microscale in uniform large-area sculptured thin-film architectures
The combination of large thickness ( m), large--area uniformity (75
mm diameter), high growth rate (up to 0.4 m/min) in assemblies of
complex--shaped nanowires on lithographically defined patterns has been
achieved for the first time. The nanoscale and the microscale have thus been
blended together in sculptured thin films with transverse architectures.
SiO () nanowires were grown by electron--beam evaporation onto
silicon substrates both with and without photoresist lines (1--D arrays) and
checkerboard (2--D arrays) patterns. Atomic self--shadowing due to
oblique--angle deposition enables the nanowires to grow continuously, to change
direction abruptly, and to maintain constant cross--sectional diameter. The
selective growth of nanowire assemblies on the top surfaces of both 1--D and
2--D arrays can be understood and predicted using simple geometrical shadowing
equations.Comment: 17 pages, 9 figure
Detectable changes in the blood transcriptome are present after two weeks of antituberculosis therapy
Rationale: Globally there are approximately 9 million new active tuberculosis cases and 1.4 million deaths annually . Effective antituberculosis treatment monitoring is difficult as there are no existing biomarkers of poor adherence or inadequate treatment earlier than 2 months after treatment initiation. Inadequate treatment leads to worsening disease, disease transmission and drug resistance. Objectives To determine if blood transcriptional signatures change in response to antituberculosis treatment and could act as early biomarkers of a successful response. METHODS: Blood transcriptional profiles of untreated active tuberculosis patients in South Africa were analysed before, during (2 weeks and 2 months), at the end of (6 months) and after (12 months) antituberculosis treatment, and compared to individuals with latent tuberculosis. An active-tuberculosis transcriptional signature and a specific treatment-response transcriptional signature were derived. The specific treatment response transcriptional signature was tested in two independent cohorts. Two quantitative scoring algorithms were applied to measure the changes in the transcriptional response. The most significantly represented pathways were determined using Ingenuity Pathway Analysis. RESULTS: An active tuberculosis 664-transcript signature and a treatment specific 320-transcript signature significantly diminished after 2 weeks of treatment in all cohorts, and continued to diminish until 6 months. The transcriptional response to treatment could be individually measured in each patient. CONCLUSIONS: Significant changes in the transcriptional signatures measured by blood tests were readily detectable just 2 weeks after treatment initiation. These findings suggest that blood transcriptional signatures could be used as early surrogate biomarkers of successful treatment response
Antibiotics from rare actinomycetes, beyond the genus Streptomyces
Throughout the golden age of antibiotic discovery, Streptomyces have been unsurpassed for their ability to produce bioactive metabolites. Yet, this success has been hampered by rediscovery. As we enter a new stage of biodiscovery, omics data and existing scientific repositories can enable informed choices on the biodiversity that may yield novel antibiotics. Here, we focus on the chemical potential of rare actinomycetes, defined as bacteria within the order Actinomycetales, but not belonging to the genus Streptomyces. They are named as such due to their less-frequent isolation under standard laboratory practices, yet there is increasing evidence to suggest these biologically diverse genera harbour considerable biosynthetic and chemical diversity. In this review, we focus on examples of successful isolation and genera that have been the focus of more concentrated biodiscovery efforts, we survey the representation of rare actinomycete taxa, compared with Streptomyces, across natural product data repositories in addition to its biosynthetic potential. This is followed by an overview of clinically useful drugs produced by rare actinomycetes and considerations for future biodiscovery efforts. There is much to learn about these underexplored taxa, and mounting evidence suggests that they are a fruitful avenue for the discovery of novel antimicrobials
Coupling models of cattle and farms with models of badgers for predicting the dynamics of bovine tuberculosis (TB)
Bovine TB is a major problem for the agricultural industry in several
countries. TB can be contracted and spread by species other than cattle and
this can cause a problem for disease control. In the UK and Ireland, badgers
are a recognised reservoir of infection and there has been substantial
discussion about potential control strategies. We present a coupling of
individual based models of bovine TB in badgers and cattle, which aims to
capture the key details of the natural history of the disease and of both
species at approximately county scale. The model is spatially explicit it
follows a very large number of cattle and badgers on a different grid size for
each species and includes also winter housing. We show that the model can
replicate the reported dynamics of both cattle and badger populations as well
as the increasing prevalence of the disease in cattle. Parameter space used as
input in simulations was swept out using Latin hypercube sampling and
sensitivity analysis to model outputs was conducted using mixed effect models.
By exploring a large and computationally intensive parameter space we show that
of the available control strategies it is the frequency of TB testing and
whether or not winter housing is practised that have the most significant
effects on the number of infected cattle, with the effect of winter housing
becoming stronger as farm size increases. Whether badgers were culled or not
explained about 5%, while the accuracy of the test employed to detect infected
cattle explained less than 3% of the variance in the number of infected cattle
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