171 research outputs found
A survey of statistical network models
Networks are ubiquitous in science and have become a focal point for
discussion in everyday life. Formal statistical models for the analysis of
network data have emerged as a major topic of interest in diverse areas of
study, and most of these involve a form of graphical representation.
Probability models on graphs date back to 1959. Along with empirical studies in
social psychology and sociology from the 1960s, these early works generated an
active network community and a substantial literature in the 1970s. This effort
moved into the statistical literature in the late 1970s and 1980s, and the past
decade has seen a burgeoning network literature in statistical physics and
computer science. The growth of the World Wide Web and the emergence of online
networking communities such as Facebook, MySpace, and LinkedIn, and a host of
more specialized professional network communities has intensified interest in
the study of networks and network data. Our goal in this review is to provide
the reader with an entry point to this burgeoning literature. We begin with an
overview of the historical development of statistical network modeling and then
we introduce a number of examples that have been studied in the network
literature. Our subsequent discussion focuses on a number of prominent static
and dynamic network models and their interconnections. We emphasize formal
model descriptions, and pay special attention to the interpretation of
parameters and their estimation. We end with a description of some open
problems and challenges for machine learning and statistics.Comment: 96 pages, 14 figures, 333 reference
Full-Polarization Observations of OH Masers in Massive Star-Forming Regions: I. Data
We present full-polarization VLBA maps of the ground-state, main-line, 2 Pi
3/2, J = 3/2 OH masers in 18 Galactic massive star-forming regions. This is the
first large polarization survey of interstellar hydroxyl masers at VLBI
resolution. A total of 184 Zeeman pairs are identified, and the corresponding
magnetic field strengths are indicated. We also present spectra of the NH3
emission or absorption in these star-forming regions. Analysis of these data
will be presented in a companion paper.Comment: 111 pages, including 42 figures and 21 tables, to appear in ApJ
Fistula awareness among sisters of women with fistula
ObjectiveTo determine whether sisters of women with obstetric fistula (OF) were aware of their sisters’ condition, in order to inform the development of survey questions that adapt the sister‐based method to fistula rate estimation.MethodsTwelve women with OF and 20 of their sisters were interviewed using semi‐structured questionnaires in rural Uganda in 2007. Topics included fistula awareness and perceptions of causality.ResultsEleven women had vesicovaginal fistula and 1 had rectovaginal fistula. Three were primiparous at time of fistula occurrence; 6 had a parity of 6 or more. Nineteen sisters were aware their sister had OF; 12 became aware at the time of occurrence. The majority of participants (fistula patients and their sisters) associated OF with mistakes made by hospital personnel or problems during procedures.ConclusionSisters were generally aware of OF within their family. Larger studies are needed to assess the validity and reliability of the sister‐based method in capturing fistula through household surveys. In the present study, there was a widespread perception among fistula patients and their sisters that fistula is caused by medical procedures. More research is needed to understand this perception, and program development efforts are required to improve patient perceptions of hospital care.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135323/1/ijgo232.pd
Full polar cap cascade scenario: -ray and X-ray luminosities from spin-powered pulsars
We modify polar cap cascade picture to include the ICS of the higher
generation pairs. In such a ``full-cascade'' scenario, not only the
perpendicular portion of the energy of the pairs goes to high energy radiation
via SR, but the parallel portion of the energy of the pairs can also contribute
to high energy emission via ICS with the soft thermal photons from either the
full neutron star surface or the hot polar cap. An important output of such a
scenario is that the soft tail of the ICS spectrum can naturally result in a
non-thermal X-ray component which can contribute to the luminosities observed
by ROSAT and ASCA. Here we present an analytic description of such a full polar
cap cascade scenario within the framework of Harding & Muslimov acceleration
model. We present the theoretical predictions of the -ray luminosities,
the thermal and non-thermal X-ray luminosities for the known spin-powered X-ray
pulsars. Our results show that the observed different dependences of the high
energy luminosities on the pulsar spin-down luminosities, i.e., and , are well
reproduced. Our model predicts that the {\em pulsed} soft X-rays in the ROSAT
band from most of the millisecond pulsars might be of thermal origin if there
is no strong multipole field components near the surfaces of these pulsars.Comment: 23 pages, emulateapj style, final version to appear in the
Astrophysical Journa
Causality-Guided Adaptive Interventional Debugging
Runtime nondeterminism is a fact of life in modern database applications.
Previous research has shown that nondeterminism can cause applications to
intermittently crash, become unresponsive, or experience data corruption. We
propose Adaptive Interventional Debugging (AID) for debugging such intermittent
failures. AID combines existing statistical debugging, causal analysis, fault
injection, and group testing techniques in a novel way to (1) pinpoint the root
cause of an application's intermittent failure and (2) generate an explanation
of how the root cause triggers the failure. AID works by first identifying a
set of runtime behaviors (called predicates) that are strongly correlated to
the failure. It then utilizes temporal properties of the predicates to
(over)-approximate their causal relationships. Finally, it uses fault injection
to execute a sequence of interventions on the predicates and discover their
true causal relationships. This enables AID to identify the true root cause and
its causal relationship to the failure. We theoretically analyze how fast AID
can converge to the identification. We evaluate AID with six real-world
applications that intermittently fail under specific inputs. In each case, AID
was able to identify the root cause and explain how the root cause triggered
the failure, much faster than group testing and more precisely than statistical
debugging. We also evaluate AID with many synthetically generated applications
with known root causes and confirm that the benefits also hold for them.Comment: Technical report of AID (SIGMOD 2020
Optical properties and charge-transfer excitations in edge-functionalized all-graphene nanojunctions
We investigate the optical properties of edge-functionalized graphene
nanosystems, focusing on the formation of junctions and charge transfer
excitons. We consider a class of graphene structures which combine the main
electronic features of graphene with the wide tunability of large polycyclic
aromatic hydrocarbons. By investigating prototypical ribbon-like systems, we
show that, upon convenient choice of functional groups, low energy excitations
with remarkable charge transfer character and large oscillator strength are
obtained. These properties can be further modulated through an appropriate
width variation, thus spanning a wide range in the low-energy region of the
UV-Vis spectra. Our results are relevant in view of designing all-graphene
optoelectronic nanodevices, which take advantage of the versatility of
molecular functionalization, together with the stability and the electronic
properties of graphene nanostructures.Comment: J. Phys. Chem. Lett. (2011), in pres
Brain Cell-Type Shifts in Alzheimer’s Disease, Autism, and Schizophrenia Interrogated Using Methylomics and Genetics
Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer\u27s disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer\u27s disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial cell loss contributes to Alzheimer\u27s disease, with comparable effect size to APOE genotype among older people. Genome-wide association identified five genetic loci related to cell-type composition, involving plausible genes for the neurovascular unit (P2RX5 and TRPV3) and excitatory neurons (DPY30 and MEMO1). These results implicate specific cell-type shifts in the pathophysiology of neuropsychiatric disorders
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