7,753 research outputs found
Automating decision making to help establish norm-based regulations
Norms have been extensively proposed as coordination mechanisms for both
agent and human societies. Nevertheless, choosing the norms to regulate a
society is by no means straightforward. The reasons are twofold. First, the
norms to choose from may not be independent (i.e, they can be related to each
other). Second, different preference criteria may be applied when choosing the
norms to enact. This paper advances the state of the art by modeling a series
of decision-making problems that regulation authorities confront when choosing
the policies to establish. In order to do so, we first identify three different
norm relationships -namely, generalisation, exclusivity, and substitutability-
and we then consider norm representation power, cost, and associated moral
values as alternative preference criteria. Thereafter, we show that the
decision-making problems faced by policy makers can be encoded as linear
programs, and hence solved with the aid of state-of-the-art solvers
Online Automated Synthesis of Compact Normative Systems
Peer reviewedPostprin
Weak positive cloud-to-ground flashes in Northeastern Colorado
The frequency distributions of the peak magnetic field associated with the first detected return stroke of positive and negative cloud-to-ground (CG) flashes were studied using lightning data from northeastern Colorado. These data were obtained during 1985 with a medium-to-high gain network of three direction finders (DF's). The median signal strength of positive flashes was almost two times that of the negatives for flashes within 300 km of the DF's, which have an inherent detection-threshold bias that tends to discriminate against weak signals. This bias increases with range, and affects the detection of positive and negative flashes in different ways, because of the differing character of their distributions. Positive flashes appear to have a large percentage of signals clustered around very weak values that are lost to the medium-to-high gain Colorado Detection System very quickly with increasing range. The resulting median for positive signals could thus appear to be much larger than the median for negative signals, which are more clustered around intermediate values. When only flashes very close to the DF's are considered, however, the two distributions have almost identical medians. The large percentage of weak positive signals detected close to the DF's has not been explored previously. They have been suggested to come from intracloud discharges and thus are improperly classified as CG flashes. Evidence in hand, points to their being real positive, albeit weak CG flashes. Whether or not they are real positive ground flashes, it is important to be aware of their presence in data from magnetic DF networks
Empowering Citizen-Centric Innovation for Effective Smart City Initiatives: A Location Intelligence Perspective
The world population continues to inhabit and move toward urban areas. This global population shift has dramatically changed the notion of a modern city even from a few decades ago. Many cities have turned to digital technologies in response to rapid growth and demographic changes. Such technologies rely on sophisticated sensor networks (van Zoonen, 2016; El-Haddadeh et al., 2019), infrastructure modernization (Khatoun & Zeadally, 2016), and advances in efficiency and sustainability (Sakurai & Kokuryo, 2018) to ensure outcomes related to a higher quality of life (Gascó-Hernandez, 2018). Researchers have examined participatory government and location intelligence in the context of smart cities. We expand on this work by exploring a) how citizen sensing methods can provide dynamic location-based data collection, b) how interactive location analytics can foster citizen engagement and participation, and c) how geo-visualization can improve citizen awareness. Citizen sensing is a method of deploying citizens and mobile devices to collect essential data for smart cities. Citizen engagement and participation determine how to include citizens in smart city decision-making. Citizen awareness addresses how smart cities can impart essential information to their citizens. Smart governance, such as public participation in decision making, policies and regulation, and urban digitization, can empower citizen-centric innovation. Similarly, citizen-driven initiatives, including participation in public life and an affinity to contribute to their social fabric, also lead to innovation. Therefore, our work will utilize a case approach by capturing the perspectives of official representatives and citizen groups. Moreover, our study will rely on semi-structured interviews with individuals representing municipalities in various countries (e.g., Brazil, Columbia, Germany, and the United States)
A positional statistic for 1324-avoiding permutations
We consider the class of permutations of size that avoid the
pattern 1324 and examine the subset of elements for
which , . This notation means that, when written
in one line notation, such a permutation must have to the left of , and
the elements of must all be to the right of . For , we establish a connection between the subset of permutations in
having the 1 adjacent to the (called primitives),
and the set of 1324-avoiding dominoes with points. For , we
introduce constructive algorithms and give formulas for the enumeration of
by the position of relative to the position of .
For , we formulate some conjectures for the corresponding generating
functions.Comment: 8 pages. Submitted for publicatio
Large-Scale Correlations in the Lyman-alpha Forest at z = 3-4
We present a study of the spatial coherence of the intergalactic medium
toward two pairs of high-redshift quasars with moderate angular separations
observed with Keck/ESI, Q1422+2309A/Q1424+2255 (z_em = 3.63, theta = 39") and
Q1439-0034A/B (z_em = 4.25, theta = 33"). The crosscorrelation of transmitted
flux in the Lyman-alpha forest shows a 5-7 sigma peak at zero velocity lag for
both pairs. This strongly suggests that at least some of the absorbing
structures span the 230-300/h_70 proper kpc transverse separation between
sightlines. We also statistically examine the similarity between paired spectra
as a function of transmitted flux, a measure which may be useful for comparison
with numerical simulations. In investigating the dependence of the correlation
functions on spectral characteristics, we find that photon noise has little
impact for S/N >~ 10 per resolution element. However, the agreement between the
autocorrelation along the line sight and the crosscorrelation between
sightlines, a potential test of cosmological geometry, depends significantly on
instrumental resolution. Finally, we present an inventory of metal lines. These
include a a pair of strong C IV systems at z ~ 3.4 appearing only toward
Q1439B, and a Mg II + Fe II system present toward Q1439 A and B at z = 1.68.Comment: 33 pages, 13 figures, submitted to Ap
Pediatric Nemaline Myopathy: A Systematic Review Using Individual Patient Data
Nemaline myopathy is a skeletal muscle disease that affects 1 in 50 000 live births. The objective of this study was to develop a narrative synthesis of the findings of a systematic review of the latest case descriptions of patients with NM. A systematic search of MEDLINE, Embase, CINAHL, Web of Science, and Scopus was performed using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines using the keywords pediatric, child, NM, nemaline rod, and rod myopathy. Case studies focused on pediatric NM and published in English between January 1, 2010, and December 31, 2020, in order to represent the most recent findings. Information was collected about the age of first signs, earliest presenting neuromuscular signs and symptoms, systems affected, progression, death, pathologic description, and genetic changes. Of a total of 385 records, 55 case reports or series were reviewed, covering 101 pediatric patients from 23 countries. We review varying presentations in children ranging in severity despite being caused by the same mutation, in addition to current and future clinical considerations relevant to the care of patients with NM. This review synthesizes genetic, histopathologic, and disease presentation findings from pediatric NM case reports. These data strengthen our understanding of the wide spectrum of disease seen in NM. Future studies are needed to identify the underlying molecular mechanism of pathology, to improve diagnostics, and to develop better methods to improve the quality of life for these patients
Optical Telescope Assembly Cost Estimating Model
Parametric cost models can be used by designers and project managers to compare cost between major architectural cost drivers and allow high-level design trades; enable cost-benefit analysis for technology development investment; and, provide a basis for estimating total project cost between related concepts. The NASA Marshall Space Flight Center has developed a 5- parameter cost model that explains 93% (Adjusted R2) of the cost variation in a database of 46 total ground and space telescope assemblies. This model can be used to estimate the most probably cost for the Habitable Exoplanet Telescope Assembly
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