37 research outputs found
Monte Carlo techniques for real-time quantum dynamics
The stochastic-gauge representation is a method of mapping the equation of
motion for the quantum mechanical density operator onto a set of equivalent
stochastic differential equations. One of the stochastic variables is termed
the "weight", and its magnitude is related to the importance of the stochastic
trajectory. We investigate the use of Monte Carlo algorithms to improve the
sampling of the weighted trajectories and thus reduce sampling error in a
simulation of quantum dynamics. The method can be applied to calculations in
real time, as well as imaginary time for which Monte Carlo algorithms are
more-commonly used. The method is applicable when the weight is guaranteed to
be real, and we demonstrate how to ensure this is the case. Examples are given
for the anharmonic oscillator, where large improvements over stochastic
sampling are observed.Comment: 28 pages, submitted to J. Comp. Phy
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection
There is a lack of scientific testing of commercially available malware
detectors, especially those that boast accurate classification of
never-before-seen (i.e., zero-day) files using machine learning (ML). The
result is that the efficacy and gaps among the available approaches are opaque,
inhibiting end users from making informed network security decisions and
researchers from targeting gaps in current detectors. In this paper, we present
a scientific evaluation of four market-leading malware detection tools to
assist an organization with two primary questions: (Q1) To what extent do
ML-based tools accurately classify never-before-seen files without sacrificing
detection ability on known files? (Q2) Is it worth purchasing a network-level
malware detector to complement host-based detection? We tested each tool
against 3,536 total files (2,554 or 72% malicious, 982 or 28% benign) including
over 400 zero-day malware, and tested with a variety of file types and
protocols for delivery. We present statistical results on detection time and
accuracy, consider complementary analysis (using multiple tools together), and
provide two novel applications of a recent cost-benefit evaluation procedure by
Iannaconne & Bridges that incorporates all the above metrics into a single
quantifiable cost. While the ML-based tools are more effective at detecting
zero-day files and executables, the signature-based tool may still be an
overall better option. Both network-based tools provide substantial (simulated)
savings when paired with either host tool, yet both show poor detection rates
on protocols other than HTTP or SMTP. Our results show that all four tools have
near-perfect precision but alarmingly low recall, especially on file types
other than executables and office files -- 37% of malware tested, including all
polyglot files, were undetected.Comment: Includes Actionable Takeaways for SOC
A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus
Keratoconus is characterised by reduced rigidity of the cornea with distortion and focal thinning that causes blurred vision, however, the pathogenetic mechanisms are unknown. It can lead to severe visual morbidity in children and young adults and is a common indication for corneal transplantation worldwide. Here we report the first large scale genome-wide association study of keratoconus including 4,669 cases and 116,547 controls. We have identified significant association with 36 genomic loci that, for the first time, implicate both dysregulation of corneal collagen matrix integrity and cell differentiation pathways as primary disease-causing mechanisms. The results also suggest pleiotropy, with some disease mechanisms shared with other corneal diseases, such as Fuchs endothelial corneal dystrophy. The common variants associated with keratoconus explain 12.5% of the genetic variance, which shows potential for the future development of a diagnostic test to detect susceptibility to disease
Sieć Pediatrycznych Specjalistycznych Poradni Medycyny Środowiskowej (PEHSU): wypełnienie istotnej luki w systemie opieki zdrowotnej
A network of pediatric environmental health specialty
units (PEHSUs) in the United States was formed
in 1998 out of a recognized need for clinical expertise
in children’s environmental health. Documented trends
in a rise of pediatric diseases caused or exacerbated by
environmental conditions, coupled with the failure of
medical schools and residency programs to cover these
issues in a significant way, leaves health care providers,
parents, communities, and governments at a loss for
this specialized knowledge. The PEHSUs fill this gap by
providing: 1) medical education, 2) general outreach
and communications, and 3) consultative services to
communities and health care professionals. This paper
presents examples of key situations where PEHSU
involvement was instrumental in improved patient outcomes
or advancing clinical expertise in children’s environmental
health. Challenges and opportunities for
future directions for the program are also discussed.Sieć Pediatrycznych Specjalistycznych Poradni Medycyny
Środowiskowej (PEHSU) w Stanach Zjednoczonych
została utworzona w 1998 roku w wyniku uznania
konieczności przeprowadzania ekspertyz w zakresie zdrowia
środowiskowego dzieci. Udokumentowane trendy
wzrostu chorób dzieci wywołanych lub zaostrzonych przez czynniki środowiskowe i nakładający się równocześnie
niedostatek programów nauczania z tego zakresu w szkołach
medycznych lub w czasie rezydentury spowodowały
brak tej specjalistycznej wiedzy wśród pracowników opieki
zdrowotnej, rodziców, społeczności i władz. PEHSU
wypełniają ten brak wykonując: 1) edukację medyczną,
2) promocję zdrowia środowiskowego 3) porady konsultacyjne
dla społeczności i dla pracowników ochrony zdrowia.
W niniejszej pracy przedstawiono najważniejsze
przykłady, kiedy udział PEHSU był instrumentem dla
polepszenia stanu zdrowia albo postępu ekspertyzy klinicznej
w zakresie zdrowia środowiskowego
Activation of the lectin pathway of complement in experimental human keratitis with Pseudomonas aeruginosa
Purpose: Pseudomonas aeruginosa (P. aeruginosa) microbial keratitis (MK) is a sight-threatening disease. Previous animal studies have identified an important contribution of the complement system to the clearance of P. aeruginosa infection of the cornea. Mannose-binding lectin (MBL), a pattern recognition receptor of the lectin pathway of complement, has been implicated in the host defense against P. aeruginosa. However, studies addressing the role of the lectin pathway in P. aeruginosa MK are lacking. Hence, we sought to determine the activity of the lectin pathway in human MK caused by P. aeruginosa.
Methods: Primary human corneal epithelial cells (HCECs) from cadaveric donors were exposed to two different P. aeruginosa strains. Gene expression of interleukin (IL)-6, IL-8, MBL, and other complement proteins was determined by reverse transcription-polymerase chain reaction (RT–PCR) and MBL synthesis by enzyme-linked immunosorbent assay and intracellular flow cytometry.
Results: MBL gene expression was not detected in unchallenged HCECs. Exposure of HCECs to P. aeruginosa resulted in rapid induction of the transcriptional expression of MBL, IL-6, and IL-8. In addition, expression of several complement proteins of the classical and lectin pathways, but not the alternative pathway, were upregulated after 5 h of challenge, including MBL-associated serine protease 1. However, MBL protein secretion was not detectable 18 h after challenge with P. aeruginosa.
Conclusions: MK due to P. aeruginosa triggers activation of MBL and the lectin pathway of complement. However, the physiologic relevance of this finding is unclear, as corresponding MBL oligomer production was not observed
Three-dimensional microorganization of the soil-root-microbe system
Soils contain the greatest reservoir of biodiversity on Earth, and the functionality of the soil ecosystem sustains the rest of the terrestrial biosphere. This functionality results from complex interactions between biological and physical processes that are strongly modulated by the soil physical structure. Using a novel combination of biochemical and biophysical indicators and synchrotron microtomography, we have discovered that soil microbes and plant roots microengineer their habitats by changing the porosity and clustering properties (i.e., spatial correlation) of the soil pores. Our results indicate that biota act to significantly alter their habitat toward a more porous, ordered, and aggregated structure that has important consequences for functional properties, including transport processes. These observations support the hypothesis that the soil–plant–microbe complex is self-organized