Area Postrema

This report contains a gene expression summary of the area postrema (AP), derived from the "Allen Brain Atlas":http://www.brain-map.org/welcome.do;jsessionid=EDE40ADC940845D169DE378ADC9B71BD (ABA) in-situ hybridization (ISH) mouse data set. The structure’s location and morphological characteristics in the mouse brain are described using the Nissl data found in the "Allen Reference Atlas":http://www.brain-map.org/mouse/atlas/coronal/legend.html. Using an established algorithm, the expression values of the AP were compared to the values of the macro/parent-structure, in this case the medulla, for the purpose of extracting regionally specific gene expression data. The highest ranking ratios were then manually curated and verified. The 50 Select Genes were compiled for expression characterization. The experimental data for each gene may be accessed via the links provided; complementary sagittal data may also be accessed using the "ABA":http://www.brain-map.org/welcome.do. Correlation between gene expression in the AP and the rest of the brain, across all genes in the coronal dataset (~4300 genes), were derived computationally and are presented below. A gene ontology table (derived from DAVID Bioinformatics Resources 2007) is also included, highlighting possible functions of these 50 Select Genes. 
&#xa

The Network of Global Corporate Control

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic \u201csuper-entity\u201d that raises new important issues both for researchers and policy makers

Evaluating longitudinal trends in and correlations between opioid prescribing and opioid poisoning rates in North Carolina, 2013-2021

Opioid addiction represents a serious public health challenge for health systems, as well as an enormous tragedy for communities affected by substance abuse. In recent years, the North Carolina Department of Health and Human Services (NC DHHS) has spearheaded efforts to save lives and improve opioid-related outcomes in the state through new prescribing regulations, attributing the present-day opioid epidemic to decades-long patterns of excessive prescribing. This paper provides a quantitative, regional analysis of opioid prescribing and poisoning rates in North Carolina between 2013-2021, evaluating how these rates fluctuated as synthetic opioids became more common in the state and as NC DHHS – led prescribing initiatives were deployed. In addition to considering longitudinal trends in prescribing and poisoning, we used regional and county-level data to test whether correlations exist (1) between opioid prescribing rates and (2) nonfatal-fatal overdose rates from methadone, heroin, fentanyl, and prescription opioids. Though we found limited evidence for significant associations between opioid prescribing and poisoning using regional data, we determined that opioid prescribing rates and overall fatal/nonfatal poisoning rates were weakly positively correlated based on county-level data. This suggests that counties where more opioids are prescribed see higher rates of fatal and nonfatal poisoning overall and for certain types of opioids. Such a finding has important implications for assessing North Carolina’s response to the ongoing opioid epidemic as NC DHHS works to drive down excessive opioid prescribing statewide.Master of Science in Information Scienc

Backbone of complex networks of corporations: The flow of control

We present a methodology to extract the backbone of complex networks based on the weight and direction of links, as well as on nontopological properties of nodes. We show how the methodology can be applied in general to networks in which mass or energy is flowing along the links. In particular, the procedure enables us to address important questions in economics, namely, how control and wealth are structured and concentrated across national markets. We report on the first cross-country investigation of ownership networks, focusing on the stock markets of 48 countries around the world. On the one hand, our analysis confirms results expected on the basis of the literature on corporate control, namely, that in Anglo-Saxon countries control tends to be dispersed among numerous shareholders. On the other hand, it also reveals that in the same countries, control is found to be highly concentrated at the global level, namely, lying in the hands of very few important shareholders. Interestingly, the exact opposite is observed for European countries. These results have previously not been reported as they are not observable without the kind of network analysis developed here.Comment: 24 pages, 12 figures, 2nd version (text made more concise and readable, results unchanged

Patterns in high-frequency FX data: Discovery of 12 empirical scaling laws

We have discovered 12 independent new empirical scaling laws in foreign exchange data-series that hold for close to three orders of magnitude and across 13 currency exchange rates. Our statistical analysis crucially depends on an event-based approach that measures the relationship between different types of events. The scaling laws give an accurate estimation of the length of the price-curve coastline, which turns out to be surprisingly long. The new laws substantially extend the catalogue of stylised facts and sharply constrain the space of possible theoretical explanations of the market mechanisms.Comment: 26 pages, 3 figures, 23 tables,2nd version (text made more concise and readable, algorithm pseudocode, results unchanged), 5-year datasets (USD-JPY, EUR-USD) provided at http://www.olsen.ch/more/datasets

The Network of Global Corporate Control

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy makers