cssi/SciSciGPT-SciSciNet huggingface dataset:
Wound Healing Agents

When not properly treated, wounds of the foot and ankle can be devastating for both the patient and physician. Therefore, it is important to recognize treatment options best suited for a particular wound, as well as the underlying factors involved in preventing a wound from healing. The most common impediments to wound healing include wound hypoxia, infection, presence of debris and necrotic tissue, nutritional deficiencies, inhibitory medications, and metabolic disorders such as diabetes mellitus [1]. Only before minimization of these factors will wound healing agents be effective. Diabetes mellitus is a complex metabolic disorder that affects healing of wounds directly and indirectly. Specifically, diabetes causes alterations in microvasculature, nerve function, and the immune system. There are a multitude of wound healing agents available, with some correlation to the type of wound or underlying disease, but for the most part the use of these agents is based on inherited common practice, personal preference, or marketing activities. Currently, the medical literature is replete of high-quality, randomized, controlled trials pertaining to wound healing agents, especially in the setting of diabetes mellitus. Therefore, it is the goal of this article to educate the orthopedic surgeon on the proper use of wound healing agents that can be applied to foot and ankle wounds.
Experiments with mmWave Automotive Radar Test-bed

Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accuracy location, velocity, and angle estimates of objects, largely independent of environmental conditions. Such radar sensors not only perform basic functions such as detection and ranging/angular localization, but also provide critical inputs for environmental perception via object recognition and classification. To explore radar-based ADAS applications, we have assembled a lab-scale frequency modulated continuous wave (FMCW) radar test-bed (https://depts.washington.edu/funlab/research) based on Texas Instrument’s (TI) automotive chipset family. In this work, we describe the test-bed components and provide a summary of FMCW radar operational principles. To date, we have created a large raw radar dataset for various objects under controlled scenarios. Thereafter, we apply some radar imaging algorithms to the collected dataset, and present some preliminary results that validate its capabilities in terms of object recognition.
Carnap: an Open Framework for Formal Reasoning in the Browser

This paper presents an overview of Carnap, a free and open framework for the development of formal reasoning applications. Carnap's design emphasizes flexibility, extensibility, and rapid prototyping. Carnap-based applications are written in Haskell, but can be compiled to JavaScript to run in standard web browsers. This combination of features makes Carnap ideally suited for educational applications, where ease-of-use is crucial for students and adaptability to different teaching strategies and classroom needs is crucial for instructors. The paper describes Carnap's implementation, along with its current and projected pedagogical applications.
A Search for ``Dwarf'' Seyfert Nuclei. V. Demographics of Nuclear Activity in Nearby Galaxies

We use the sample of emission-line nuclei derived from a recently completed optical spectroscopic survey of nearby galaxies to quantify the incidence of local (z ≈ 0) nuclear activity. Particular attention is paid to obtaining accurate measurements of the emission lines and reliable spectral classifications. The resulting database contains the largest collection of star-forming nuclei and active galactic nuclei (AGNs) currently known for nearby galaxies. It consists of 420 emission-line nuclei detected from a nearly complete, magnitude-limited sample of 486 galaxies with BT ≤ 12.5 mag and declination greater than 0°; the equivalent width detection limit of the brightest emission line, usually Hα, is ~0.25 A. As is consistent with previous studies, we find detectable amounts of ionized gas in the central few hundred parsecs of most galaxies (86%); emission lines are present in essentially every spiral galaxy and in a large fraction of ellipticals and lenticulars. Based on their narrow-line spectra, half of the objects can be classified as H II or star-forming nuclei and the other half as some form of AGN, of which we distinguish three classes: Seyfert nuclei, low-ionization nuclear emission-line regions (LINERs), and transition objects that we assume to be composite LINER/H II-nucleus systems. The population of AGNs is consequently very large; approximately 43% of the galaxies in our survey can be regarded as "active," although, for a number of reasons, this fraction is still rather uncertain. Most of the objects have much lower luminosities than commonly studied AGNs; the median luminosity of the narrow Hα line, after correcting for extinction, is only 2 × 1039 ergs s-1. Our sample therefore occupies the extreme faint end of the AGN luminosity function. We detect signatures of a broad-line region, as revealed by visible broad Hα emission, in ~20% of the AGN sample. Seyfert nuclei, both type 1 and type 2, reside in ~10% of all galaxies. LINERs make up the bulk (1/2-3/4) of the AGN population and a significant fraction (1/5-1/3) of all galaxies. A nonnegligible subset of LINERs emit broad Hα emission, furnishing direct evidence that a least some LINERs are indeed physically related to the AGN phenomenon. The dominant ionization mechanism of the nuclear emission depends strongly on the morphological type and luminosity of the host galaxy. AGNs are found predominantly in luminous, early-type (E-Sbc) galaxies, while H II nuclei prefer less luminous, late-type (Sbc and later) systems. The various AGN subclasses have broadly similar host galaxies.
Bootstraps to strings: solving random matrix models with positivity

A new approach to solving random matrix models directly in the large N limit is developed. First, a set of numerical values for some low-pt correlation functions is guessed. The large N loop equations are then used to generate values of higher-pt correlation functions based on this guess. Then one tests whether these higher-pt functions are consistent with positivity requirements, e.g., (tr M 2k ) ≥ 0. If not, the guessed values are systematically ruled out. In this way, one can constrain the correlation functions of random matrices to a tiny subregion which contains (and perhaps converges to) the true solution. This approach is tested on single and multi-matrix models and handily reproduces known solutions. It also produces strong results for multi-matrix models which are not believed to be solvable. A tantalizing possibility is that this method could be used to search for new critical points, or string worldsheet theories.
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering.

Similarity-based Hierarchical Clustering (HC) is a classical unsupervised machine learning algorithm that has traditionally been solved with heuristic algorithms like Average-Linkage. Recently, Dasgupta reframed HC as a discrete optimization problem by introducing a global cost function measuring the quality of a given tree. In this work, we provide the first continuous relaxation of Dasgupta's discrete optimization problem with provable quality guarantees. The key idea of our method, HypHC, is showing a direct correspondence from discrete trees to continuous representations (via the hyperbolic embeddings of their leaf nodes) and back (via a decoding algorithm that maps leaf embeddings to a dendrogram), allowing us to search the space of discrete binary trees with continuous optimization. Building on analogies between trees and hyperbolic space, we derive a continuous analogue for the notion of lowest common ancestor, which leads to a continuous relaxation of Dasgupta's discrete objective. We can show that after decoding, the global minimizer of our continuous relaxation yields a discrete tree with a (1 + epsilon)-factor approximation for Dasgupta's optimal tree, where epsilon can be made arbitrarily small and controls optimization challenges. We experimentally evaluate HypHC on a variety of HC benchmarks and find that even approximate solutions found with gradient descent have superior clustering quality than agglomerative heuristics or other gradient based algorithms. Finally, we highlight the flexibility of HypHC using end-to-end training in a downstream classification task.
Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis

This paper considers max-min fair rate allocation and routing in energy harvesting networks where fairness is required among both the nodes and the time slots. Unlike most previous work on fairness, we focus on multihop topologies and consider different routing methods. We assume a predictable energy profile and focus on the design of efficient and optimal algorithms that can serve as benchmarks for distributed and approximate algorithms. We first develop an algorithm that obtains a max-min fair rate assignment for any routing that is specified at the input. We then turn to the problem of determining a "good" routing. For time-invariable unsplittable routing, we develop an algorithm that finds routes that maximize the minimum rate assigned to any node in any slot. For fractional routing, we derive a combinatorial algorithm for the time-invariable case with constant rates. We show that the time-variable case is at least as hard as the 2-commodity feasible flow problem and design an FPTAS to combat the high running time. Finally, we show that finding an unsplittable routing or a routing tree that provides lexicographically maximum rate assignment (i.e., the best in the max-min fairness terms) is NP-hard, even for a time horizon of a single slot. Our analysis provides insights into the problem structure and can be applied to other related fairness problems.
Matrix model of strength distribution: Extension and phase transition

In this work, we extend a previous study of matrix models of strength distributions. We still retain the nearest neighbor coupling mode but we extend the values of the coupling parameter v. We consider extremes, from very small v to very large v. We first use the same transition operator as before 〈nT(n + 1)〉 = constant(= 1). For this case, we get an exponential decrease for small v, as expected, but we get a phase transition beyond v=10, where we get separate exponentials for even n and for odd n. We now also consider the dipole choice where 〈nT(n + 1)〉 = (n + 1).
THE SEARCH FOR THE ONSET OF COLOR TRANSPARENCY: A STATUS REPORT

Color transparency (CT) refers to the vanishing of the hadron–nucleon interaction for hadrons produced inside a nucleus in high momentum exclusive processes. We briefly review the concept behind this unique quantum chromodynamics (QCD) phenomenon, the experimental search for its onset and the recent progress made at intermediate energies.
Astrophysical Neutrino Event Rates and Sensitivity for Neutrino Telescopes

Spectacular processes in astrophysical sites produce high-energy cosmic rays, which are further accelerated by Fermi shocks into a power-law spectrum. These, in passing through radiation fields and matter, produce neutrinos. Neutrino telescopes are designed with large detection volumes to observe such astrophysical sources. A large volume is necessary because the fluxes and cross sections are small. We estimate various telescopes sensitivities and expected event rates from astrophysical sources of high-energy neutrinos. We find that an ideal detector with a km(2) incident area can be sensitive to a flux of neutrinos integrated over energy from 10(5) and 10(7) GeV as low as 1.3 x 10(-8) E-2 (GeV cm(-2) s(-1) sr(-1)), which is 3 times smaller than the Waxman-Bahcall conservative upper limit on potential neutrino flux. A real detector will have degraded performance. Detection from known point sources is possible but unlikely unless there is prior knowledge of the source location and neutrino arrival time.
Effects of Planetesimal Accretion on the Thermal and Structural Evolution of Sub-Neptunes

A remarkable discovery of NASA's Kepler mission is the wide diversity in the average densities of planets of similar mass. After gas disk dissipation, fully formed planets could interact with nearby planetesimals from a remnant planetesimal disk. These interactions would often lead to planetesimal accretion due to the relatively high ratio between the planet size and the hill radius for typical planets. We present calculations using the open-source stellar evolution toolkit MESA (Modules for Experiments in Stellar Astrophysics) modified to include the deposition of planetesimals into the H/He envelopes of sub-Neptunes (~1-20 MEarth). We show that planetesimal accretion can alter the mass-radius isochrones for these planets. The same initial planet as a result of the same total accreted planetesimal mass can have up to ~5% difference in mean densities several Gyr after the last accretion due to inherent stochasticity of the accretion process. During the phase of rapid accretion these differences are more dramatic. The additional energy deposition from the accreted planetesimals increase the ratio between the planet's radius to that of the core during rapid accretion, which in turn leads to enhanced loss of atmospheric mass. As a result, the same initial planet can end up with very different envelope mass fractions. These differences manifest as differences in mean densities long after accretion stops. These effects are particularly important for planets initially less massive than ~10 MEarth and with envelope mass fraction less than ~10%, thought to be the most common type of planets discovered by Kepler.
Geometric embedding properties of Bestvina–Brady subgroups

We compute the relative divergence and the subgroup distortion of Bestvina-Brady subgroups. We also show that for each integer $n\geq 3$, there is a free subgroup of rank $n$ of some right-angled Artin group whose inclusion is not a quasi-isometric embedding. This result answers the question of Carr about the minimum rank $n$ such that some right-angled Artin group has a free subgroup of rank $n$ whose inclusion is not a quasi-isometric embedding. It is well-known that a right-angled Artin group $A_\Gamma$ is the fundamental group of a graph manifold whenever the defining graph $\Gamma$ is a tree. We show that the Bestvina-Brady subgroup $H_\Gamma$ in this case is a horizontal surface subgroup.
The California-Kepler Survey. VII. Precise Planet Radii Leveraging Gaia DR2 Reveal the Stellar Mass Dependence of the Planet Radius Gap

The distribution of planet sizes encodes details of planet formation and evolution. We present the most precise planet size distribution to date based on Gaia parallaxes, Kepler photometry, and spectroscopic temperatures from the California-Kepler Survey. Previously, we measured stellar radii to 11% precision using high-resolution spectroscopy; by adding Gaia astrometry, the errors are now 3%. Planet radius measurements are, in turn, improved to 5% precision. With a catalog of ~1000 planets with precise properties, we probed in fine detail the gap in the planet size distribution that separates two classes of small planets, rocky super-Earths and gas-dominated sub-Neptunes. Our previous study and others suggested that the gap may be observationally under-resolved and inherently flat-bottomed, with a band of forbidden planet sizes. Analysis based on our new catalog refutes this; the gap is partially filled in. Two other important factors that sculpt the distribution are a planet's orbital distance and its host-star mass, both of which are related to a planet's X-ray/UV irradiation history. For lower-mass stars, the bimodal planet distribution shifts to smaller sizes, consistent with smaller stars producing smaller planet cores. Details of the size distribution including the extent of the "sub-Neptune desert" and the width and slope of the gap support the view that photoevaporation of low-density atmospheres is the dominant evolutionary determinant of the planet size distribution.
Structure of nonstructural protein 1 from SARS-CoV-2.

The periodic emergence of novel coronaviruses (CoVs) represents an ongoing public health concern with significant health and financial burdens worldwide. The most recent occurrence originated in the city of Wuhan, China, where a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) emerged causing severe respiratory illness and pneumonia. The continual emergence of novel coronaviruses underscores the importance of developing effective vaccines as well as novel therapeutic options that target either viral functions or host factors recruited to support coronavirus replication. The CoV nonstructural protein 1 (nsp1) has been shown to promote cellular mRNA degradation, block host cell translation, and inhibit the innate immune response to virus infection. Interestingly, deletion of the nsp1-coding region in infectious clones prevented the virus from productively infecting cultured cells. Because of nsp1's importance in the CoV life cycle, it has been highlighted as a viable target for both antiviral therapy and vaccine development. However, the fundamental molecular and structural mechanisms that underlie nsp1 function remain poorly understood, despite its critical role in the viral life cycle. Here, we report the high-resolution crystal structure of the amino globular portion of SARS-CoV-2 nsp1 (residues 10 to 127) at 1.77-A resolution. A comparison of our structure with the SARS-CoV-1 nsp1 structure reveals how mutations alter the conformation of flexible loops, inducing the formation of novel secondary structural elements and new surface features. Paired with the recently published structure of the carboxyl end of nsp1 (residues 148 to 180), our results provide the groundwork for future studies focusing on SARS-CoV-2 nsp1 structure and function during the viral life cycle.IMPORTANCE Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the COVID-19 pandemic. One protein known to play a critical role in the coronavirus life cycle is nonstructural protein 1 (nsp1). As such, it has been highlighted in numerous studies as a target for both the development of antivirals and the design of live-attenuated vaccines. Here, we report the high-resolution crystal structure of nsp1 derived from SARS-CoV-2 at 1.77-A resolution. This structure will facilitate future studies focusing on understanding the relationship between structure and function for nsp1. In turn, understanding these structure-function relationships will allow nsp1 to be fully exploited as a target for both antiviral development and vaccine design.
Wepy: A Flexible Software Framework for Simulating Rare Events with Weighted Ensemble Resampling.

Here, we introduce the open-source software framework wepy (https://github.com/ADicksonLab/wepy) which is a toolkit for running and analyzing weighted ensemble (WE) simulations. The wepy toolkit is in pure Python and as such is highly portable and extensible, making it an excellent platform to develop and use new WE resampling algorithms such as WExplore, REVO, and others while leveraging the entire Python ecosystem. In addition, wepy simplifies WE-specific analyses by defining out-of-core tree-like data structures using the cross-platform HDF5 file format. In this paper, we discuss the motivations and challenges for simulating rare events in biomolecular systems. As has previously been shown, high-dimensional WE resampling algorithms such as WExplore and REVO have been successful at these tasks, especially for rare events that are difficult to describe by one or two collective variables. We explain in detail how wepy facilitates implementation of these algorithms, as well as aids in analyzing the unique structure of WE simulation results. To explain how wepy and WE work in general, we describe the mathematical formalism of WE, an overview of the architecture of wepy, and provide code examples of how to construct, run, and analyze simulation results for a protein-ligand system (T4 Lysozyme in an implicit solvent). This paper is written with a variety of readers in mind, including (1) those curious about how to leverage WE rare-event simulations for their domain, (2) current WE users who want to begin using new high-dimensional resamplers such as WExplore and REVO, and (3) expert users who would like to prototype or implement their own algorithms that can be easily adopted by others.
Simple Methods to Represent Shapes with Sample Spheres

Representing complex shapes with simple primitives in high accuracy is important for a variety of applications in computer graphics and geometry processing. Existing solutions may produce suboptimal samples or are complex to implement. We present methods to approximate given shapes with user-tunable number of spheres to balance between accuracy and simplicity: touching medial/scale-axis polar balls and k-means smallest enclosing circles. Our methods are easy to implement, run efficiently, and can approach quality similar to manual construction.
Decoupling salt- and polymer-dependent dynamics in polyelectrolyte complex coacervates via salt addition

In polyelectrolyte complex coacervates, changes in salt concentration and changes in polymer concentration are typically strongly coupled, complicating interpretation of the salt- and polymer-concentration-dependent dynamics of these materials. To address this problem, we developed a “salt addition” method for preparation of complex coacervates that allows the salt concentration of a coacervate sample to be varied without changing its polymer concentration. This method was used to prepare coacervates of poly(styrene sulfonate) (PSS) with poly(diallyldimethylammonium chloride) (PDADMAC) with salt concentrations between 1.2 and 2 M and volume fractions of polymer between 0.1 and 0.25. Characterization of these samples by small-amplitude oscillatory shear rheology revealed that the relaxation times scale significantly more strongly with polymer volume fraction than has been previously assumed, highlighting the need to account for both salt and polymer-dependent contributions to the dynamics of these complex materials.
Complexity of training ReLU neural network

Abstract In this paper, we explore some basic questions on the complexity of training neural networks with ReLU activation function. We show that it is NP-hard to train a two-hidden layer feedforward ReLU neural network. If dimension of the input data and the network topology is fixed, then we show that there exists a polynomial time algorithm for the same training problem. We also show that if sufficient over-parameterization is provided in the first hidden layer of ReLU neural network, then there is a polynomial time algorithm which finds weights such that output of the over-parameterized ReLU neural network matches with the output of the given data.
YANG-MILLS FIELDS AND THE LATTICE

The Yang-Mills theory lies at the heart of our understanding of elementary particle interactions. For the strong nuclear forces, we must understand this theory in the strong coupling regime. The primary technique for this is the lattice. While basically an ultraviolet regulator, the lattice avoids the use of a perturbative expansion. I discuss some of the historical circumstances that drove us to this approach, which has had immense success, convincingly demonstrating quark confinement and obtaining crucial properties of the strong interactions from first principles.
Collapsing Ricci-flat metrics on elliptic K3 surfaces

For any elliptic K3 surface $\mathfrak{F}: \mathcal{K} \rightarrow \mathbb{P}^1$, we construct a family of collapsing Ricci-flat K\"ahler metrics such that curvatures are uniformly bounded away from singular fibers, and which Gromov-Hausdorff limit to $\mathbb{P}^1$ equipped with the McLean metric. There are well-known examples of this type of collapsing, but the key point of our construction is that we can additionally give a precise description of the metric degeneration near each type of singular fiber, without any restriction on the types of singular fibers.
Is There a "Duty to Read"?

The notion that there is in general contract law a “duty to read” persists in the decisions of American courts. This Article explores the general question of what it may mean to say that there is a “duty to read,” and concludes by suggesting what role (if any) that doctrine should play in our present-day law of contract. The Article begins by examining various ways in which the “duty to read” is commonly articulated, and compares it to other contract law concepts: the “duty to bargain in good faith” and the “duty to mitigate damages.” The Article next considers a variety of ways in which the “duty to read” rule may be countered or overcome, and goes on to note and evaluate policy arguments for the rule. Having thus sketched the legal background, the Article then proceeds to examine a selection of some two dozen recent cases which discuss and in some instances rely on this rule. Finally, after enumerating a number of ways in which the rule should not be applied, the Article concludes by suggesting that the “duty to read” rule would better be denominated as “a presumption of knowing assent,” and asks what role that principle should play in present day contracts jurisprudence.
LAW BEYOND GOD AND KANT: A PRAGMATIST PATH

The liberal principle of reciprocity requires that states maintain neutrality with respect to their citizens’ competing comprehensive worldviews (both religious and secular) while officially justifying the law and while adjudicating under it. But the very possibility of such liberal neutrality has come under attack in a post-Enlightenment world in which even foundational arguments for the principle of reciprocity itself are no longer taken for granted. This article offers a pragmatist path to the resolution of this liberal dilemma. It recommends a “default and challenge” model for legal justification and legitimation that is rooted in social-linguistic practice. By rooting justification and legitimation in practice, it is argued liberal neutrality can be preserved without need for appeals to controversial foundational commitments at any level of public political justification. The article closes with a fictional case study concerning abortion to show how politicians and courts can apply this method to preserve liberal neutrality while addressing even the most controversial issues.
Does it pay to treat employees well? International evidence on the value of employee-friendly culture

Abstract We examine the valuation impact of an employee-friendly (EF) culture. Using a sample of 3446 firms from 43 countries for the period 2003 to 2014, we show that firms with a more EF culture are valued higher and perform better (ROA, ROE). Consistent with the good governance view, the impact is stronger for firms in countries with better investor protection and for firms with better governance and lower agency costs. We further document a positive valuation associated with the enactment of laws aimed at improving parental leave policies. The impact on valuation stems from improved technical efficiency. Using various approaches, our results suggest that the impact of an EF culture on firm value is causal.
The role of the economist in economic development

This paper is a reconsideration of the role of the economist in economic development. This is necessary, we argue, because this role has been obscured. We provide a history of development economics to understand how we have arrived at the current situation. We then argue that the development establishment has overlooked the importance of indigenous institutions in achieving economic progress. To remedy, this we apply Mises’ regression theorem to understand indigenous institutions. Included in this discussion is a framework for understanding why the current view of the economist in this area persists. * Christopher Coyne is a Research Fellow at the James M. Buchanan Center, Fairfax, VA, and the Social Change Project, Mercatus Center, Arlington, VA. Peter Boettke is Professor of Economics and the Deputy Director of the James M. Buchanan Center for Political Economy, George Mason University, Fairfax, VA. Financial assistance from the Program in Philosophy, Politics and Economics at the James M. Buchanan Center for Political Economy, the Social Change Program at the Mercatus Center and the Earhart Foundation is acknowledged. We would like to thank two anonymous referees for their useful comments and suggestions. The ideas presented in this research are the authors' and do not represent official positions of the Mercatus Center at George Mason University. W OR KI NG P AP ER
He Said, She Said: The Impact of Candidate Gender in Negative Campaigns

Although there is evidence that negative advertising “works” at least some of the time, it has been suggested that going negative poses a special risk for female candidates because it violates expectations about appropriate behavior that are rooted in the traditional gender stereotypes still held by many voters. In this paper, we employ data from a survey experiment to examine gender differences in the effectiveness of one particular attack made by a challenger against an incumbent of the opposite sex in a hypothetical race for the U.S. House of Representatives. Our interest is not limited to the attack itself, however, but extends to the question of how candidates should respond when they are attacked and whether certain types of responses/rebuttals (including counterattacks) work better for men than they do for women, and vice versa, in terms of mitigating the damage inflicted by an initially successful negative ad. Overall, we find little support for the idea that the effectiveness of either attack or response (denial, counterattack, counterimaging, justification, accusing one's opponent of mudslinging) varies significantly according to candidate gender. Further, shared partisanship matters more than shared gender in shaping how voters react to the campaign messages of male and female candidates.
Modeling Area‐Level Health Rankings

Objective Rank county health using a Bayesian factor analysis model. Data Sources Secondary county data from the National Center for Health Statistics (through 2007) and Behavioral Risk Factor Surveillance System (through 2009). Study Design Our model builds on the existing county health rankings (CHRs) by using data-derived weights to compute ranks from mortality and morbidity variables, and by quantifying uncertainty based on population, spatial correlation, and missing data. We apply our model to Wisconsin, which has comprehensive data, and Texas, which has substantial missing information. Data Collection Methods The data were downloaded from www.countyhealthrankings.org. Principal Findings Our estimated rankings are more similar to the CHRs for Wisconsin than Texas, as the data-derived factor weights are closer to the assigned weights for Wisconsin. The correlations between the CHRs and our ranks are 0.89 for Wisconsin and 0.65 for Texas. Uncertainty is especially severe for Texas given the state's substantial missing data. Conclusions The reliability of comprehensive CHRs varies from state to state. We advise focusing on the counties that remain among the least healthy after incorporating alternate weighting methods and accounting for uncertainty. Our results also highlight the need for broader geographic coverage in health data.
Of Monsters and Men: Perpetrator Trauma and Mass Atrocity

© 2015, Columbia Law Review Association. All rights reserved. In popular, scholarly, and legal discourse, psychological trauma is an experience that belongs to victims. While we expect victims of crimes to suffer trauma, we never ask whether perpetrators likewise experience those same crimes as trauma. Indeed, if we consider trauma in the perpetration of a crime at all, it is usually to inquire whether a terrible experience earlier in life drove a person toward wrongdoing. We are loath to acknowledge that the commission of the crime itself may cause some perpetrators to experience their own psychological injury and scarring. This Article aims to fill this gap in our understanding of crime and trauma by initiating a long-overdue conversation about perpetrator trauma. Specifically, this Article argues that perpetrator trauma exists and merits attention. In doing so, it traces a cultural evolution in the concept of trauma from a psychological category to a moral one, and in response, it proposes a counternarrative of trauma—one that recognizes trauma as a neutral, human trait, divorced from morality, and not incompatible with choice and agency. Finally, this Article argues that we ignore this counternarrative of trauma at our peril. Acknowledging the reality of perpetrator trauma can improve reconciliation efforts in the aftermath of mass atrocity by exposing the need to rehabilitate perpetrators. As importantly, recognizing perpetrator trauma erodes the all-too-common perception of perpetrators as cartoonish monsters by exposing their ordinariness andhumanity. The point is not to generate sympathy for a genocidaire. But recognizing him as a person who chose to kill, and who now suffers because of it, can illuminate both the roots of his crimes and the real horror undergirding them—that perpetrators are merely people, and that any other person could do the same. In exposing these overlooked aspects of crime, this Article unsettles understandings of suffering and violence, challenges the categories of perpetrator and victim, and makes clear that the question of how to respond to mass atrocity is even more complex than we know.
Toward Economic Analysis of the Uniform Probate Code

Insights from economics and the economic analysis of law may be useful in analyzing succession law, including intestacy and wills as well as nonprobate transfers such as trusts. After surveying prior works that have examined succession from a functional perspective, I explore the possibility of utilizing tools like (i) transaction costs, (ii) the ex ante/ex post distinction, and (iii) rules versus standards, to illuminate the design of the Uniform Probate Code. Specifically, I investigate how these tools, which legal scholars have employed widely in other contexts, may be relevant in understanding events like the nonprobate revolution and issues like “dead hand” control; analyzing UPC provisions pertaining to the harmless error rule, reformation, and ademption by extinction; and evaluating law reforms such as proposals to abolish attestation or prevent the disinheritance of children.
Bayesian Incentive Compatible Parametrization of Mechanisms

Abstract We consider a general scheme to construct Bayesian incentive-compatible mechanisms using a suitable ‘variable mechanism parametrization.’ The key idea is to perturb a given direct mechanism, which might not be truth revealing, introducing sufficient variability as a function of agents’ announcements to generate incentives for truthful revelation. We discuss a variable-price auction in a general setting as an example.
Business Intelligence and Analytics Education: Hermeneutic Literature Review and Future Directions in IS Education.

Interest in business intelligence and analytics education has begun to attract IS scholars’ attention. In order to discover new research questions, there is a need for conducting a literature review of extant studies on BI&A education. This study identified 44 research papers through using Google Scholar related to BI&A education. This research contributes to the field of BI&A education by (a) categorizing the existing studies on BI&A education into the key five research foci, and (b) identifying the research gaps and providing the guide for future BI&A and IS research.
Deep learning for limit order books

This paper develops a new neural network architecture for modeling spatial distributions (i.e. distributions on Rd) which is more computationally efficient than a traditional fully-connected feedfo...
"Continually Reminded of Their Inferior Position”: Social Dominance, Implicit Bias, Criminality, and Race

This Article contends that implicit bias theory has improved contemporary understanding of the dynamics of individual bias. Implicit bias research has also helped to explain the persistent racial disparities in many areas of public policy, including criminal law and enforcement. Implicit bias theory, however, does not provide the foundation for a comprehensive analysis of racial inequality. Even if implicit racial biases exist pervasively, these biases alone do not explain broad societal tolerance of vast racial inequality. Instead, as social dominance theorists have found, a strong desire among powerful classes to preserve the benefits they receive from stratification leads to collective acceptance of group-based inequality. Because racial inequality within criminal law and enforcement reinforces the vulnerability of persons of color and replicates historical injuries caused by explicitly racist practices, legal theorists whose work analyzes the intersection of criminality and racial subordination could find that social dominance theory allows for a rich discussion of these issues.
Vertical Relationships within Platform Marketplaces

In two-sided markets a platform allows consumers and sellers to interact by creating sub-markets within the platform marketplace. For example, Amazon has sub-markets for all of the different product categories available on its site, and smartphones have sub-markets for different types of applications (gaming apps, weather apps, map apps, ridesharing apps, etc.). The network benefits between consumers and sellers depend on the mode of competition within the sub-markets: more competition between sellers lowers product prices, increases the surplus consumers receive from a sub-market, and makes platform membership more desirable for consumers. However, more competition also lowers profits for a seller which makes platform membership less desirable for a seller and reduces seller entry and the number of sub-markets available on the platform marketplace. This dynamic between seller competition within a sub-market and agents’ network benefits leads to platform pricing strategies, participation decisions by consumers and sellers, and welfare results that depend on the mode of competition. Thus, the sub-market structure is important when investigating platform marketplaces.
High-Frequency Market Making to Large Institutional Trades

We utilize a unique data set that provides all orders and trades, with (masked) trader identity known, for all equities traded on Canadian exchanges. We identify and characterize designated market makers (DMMs) and high frequency traders that act as market makers (HFTs). We also identify large institutional trade packages and characterize how HFTs and DMMs provide liquidity to these trades. Both HFTs and DMMs provide liquidity to large institutional trades, with HFTs providing substantially more. In high volume stocks, HFTs reduce liquidity provision for “stressful” trades by 42 percent while DMM liquidity provision remains mostly unchanged. Implementation shortfall (price) of large trades is significantly affected by HFT (and to a lesser extent DMM) choice of liquidity provision during the trade. ∗We thank the Investment Industry Regulatory Organization of Canada (IIROC) for providing us with access to the data used for this study and Victoria Pinnington and Helen Hogarth of IIROC for answering our innumerable questions regarding the data and Canadian market structure details. We also thank Torben Andersen, Oleg Bondarenko, Kevin Crotty, Hanh Le, and Brian Weller for useful comments on the paper. All errors are our own. †Kellogg School of Management, Northwestern University, 2001 Sheridan Road, Evanston, IL, 60208-2001; tel: (847) 491-8336; e-mail: r-korajczyk@kellogg.northwestern.edu. ‡University of Illinois at Chicago, College of Business, Department of Finance, 601 South Morgan Street, Chicago, IL, 60607-7121; tel: (312) 355-4372; e-mail: murphyd@uic.edu.
Prosecutorial Conflicts of Interest in Post-Conviction Practice

Prosecutors, our ministers of justice, do not play by the same conflict of interest rules. All other attorneys should not, and cannot, attack their prior work in transactional or litigation matters; nor should other attorneys unquestionably represent clients in matters in which the attorneys themselves face disciplinary, civil, or criminal liability. When prosecutors have likely convicted an innocent person, however, prosecutors are asked to review their own prior work objectively and then to undo it. But they understandably suffer from a conflict between their duty to justice and their duty to themselves — their duty to seek the release of the innocent person and their interest in avoiding embarrassment and liability for themselves and their offices. After this Article shows a variety of ways these conflicts cause problems, the Article demonstrates that these problems can be solved or mitigated by simply restructuring the post-conviction review process.
From Cooperative to Inoperative Federalism: The Perverse Mutation of Environmental Law and Policy

In the foreword to a symposium on “Cooperative Federalism” published in the Iowa Law Review in 1938, the unnamed author asserted “that federalism is still in flux and that no balance has yet been struck between state and nation.” The same statement clearly still holds true, at least in the area of environmental law. The symposium foreword attributed the uncertainty about the appropriate realms of federal and state power to “experimentation in federalism” reflected in recent federal and state legislation that was “characterized by the participation of several governments in cooperative legislative or administrative action.” Beginning in 1970, Congress embarked upon a new experiment in cooperative federalism in the field of environmental law. In a rash of legislation adopted over the next decade, Congress established a framework in which the federal and state governments would work together to protect health, the environment, and natural resources, such as wildlife, from the adverse effects of pollutiongenerating and developmental activities by both private and public entities. Under this new regime of federal environmental law, each level of government had a particular role to play. Under many of the federal pollution control laws, the federal government was
Why Does ETF Short Selling Provide a Different Signal

Short selling is of great interest to investors because it has predictive value for future stock returns. We investigate whether this extends to foreign stock ETFs. In contrast to regular stocks, ETFs with high short interest experience positive abnormal returns. Our analysis suggests that the creation and redemption of ETF shares influences the level of short selling. Foreign stock ETFs, with low short interest, also have positive abnormal returns. These abnormal returns are typically caused by higher prices in foreign stock markets and not exchange rate changes.
Institutional - Grade Properties: Performance and Ownership

Quality commercial properties differ in operating performance not only on physical characteristics but in type of ownership, management, and control. For 1996-2001 data on Atlanta apartments, a primary market for multiple types of investors, there is varying operating performance by ownership. Larger-scale owners and local property managers earn higher effective rents.
Of Positivism and the History of Economic Thought

The rhetoric of positivism had a profound effect on the worldview and practice of economists in the middle of the last century. Though this influence has greatly diminished, it still may be found in the attitude of many economists toward the history of their discipline. This article traces the effects of positivism in economics and then argues that the history of economics is a critical component of both the undergraduate teaching and the graduate training of economists, and that as such, it should be reintroduced into the economics curriculum. It concludes by documenting some recent hopeful signs of change.
Accounting Errors in Nonprofit Organizations

SYNOPSIS: This study examines the accounting errors committed by public charities as revealed by searching for disclosures of their corrections in auditor reports, financial statements, and footnotes. A sample of 5,511 audited financial statements, predominantly from the years 2006 to 2010, was obtained from GuideStar, a data provider for nonprofits. Public charities report errors at a rate that is 60 percent higher than that of publicly traded corporations, and almost twice as high as that of similar-sized corporations. The errors are commonly errors of omission (i.e., failing to recognize items). The error rate has a strong positive association with internal control deficiencies and a strong negative association with Big 4 and second-tier auditors. Regressions are unable to detect a significant association between the error rate and organization size, type, or portion of the budget devoted to administrative activities. The error corrections often have low visibility in the financial reports issued by p...
Ironing out the Flat Tax

One of the major claims of the promoters of the Flat Tax is that it would be simple to administer. Yet to date, no details of the design have been offered, which makes evaluation of the administrative costs difficult. This paper attempts to fill in the gap by considering the design issues presented by the Flat Tax. A wide variety of issues are considered, including the Flat Tax taxation of financial transactions, business formations and reorganizations, small businesses, accounting methods, and international transactions. The major finding of this paper is that there would be significant administrative difficulties in implementing the regime. Even with significant administrative difficulties, however, the regime would most likely be simpler than current law in many respects.
The Association between Audit-Partner Quality and Engagement Quality: Evidence from Financial Report Misstatements

SUMMARY: We study whether audit-partner quality influences the probability of annual report misstatements (measured by restatements) and whether various levels of quality control attenuate such influences. We measure audit-partner quality with audit failure rate (i.e., the total number of audit failures associated with an audit partner divided by the total number of audit reports signed by the same partner). We report the following key findings. First, an audit partner's past audit failure rate is positively associated with the probability that the current year annual report that he/she audits is subsequently restated. This positive association is more pronounced for engagement partners (i.e., partners who actually conduct the audits) than for review partners (i.e., partners who review the audits). Incorporating audit-partner audit failure rates substantially increases the predictive power for future financial report restatements. Second, neither engagement-team-level nor audit-firm-level quality controls...
Identifying Shocks via Time-Varying Volatility

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances can only be recovered from the data under specific parametric assumptions on the variance process. I propose a new identification argument that identifies the SVAR up to shock orderings using the autocovariance structure of second moments of the residuals, implied by an arbitrary stochastic process for the shock variances. These higher moments are available without parametric assumptions like those required by existing approaches. The conditions required for identification can be tested using a simple procedure. The identification scheme performs well in simulations. I apply the approach to the debate on fiscal multipliers and obtain estimates lower than those of Blanchard and Perotti (2002) and Mertens and Ravn (2014), but in line with more recent studies.