cssi/SciSciGPT-SciSciNet huggingface dataset:
Toward an epistemology of Wikipedia

Wikipedia (the “free online encyclopedia that anyone can edit”) is having a huge impact on how a great many people gather information about the world. So, it is important for epistemologists and information scientists to ask whether people are likely to acquire knowledge as a result of having access to this information source. In other words, is Wikipedia having good epistemic consequences? After surveying the various concerns that have been raised about the reliability of Wikipedia, this article argues that the epistemic consequences of people using Wikipedia as a source of information are likely to be quite good. According to several empirical studies, the reliability of Wikipedia compares favorably to the reliability of traditional encyclopedias. Furthermore, the reliability of Wikipedia compares even more favorably to the reliability of those information sources that people would be likely to use if Wikipedia did not exist (viz., Web sites that are as freely and easily accessible as Wikipedia). In addition, Wikipedia has a number of other epistemic virtues (e.g., power, speed, and fecundity) that arguably outweigh any deficiency in terms of reliability. Even so, epistemologists and information scientists should certainly be trying to identify changes (or alternatives) to Wikipedia that will bring about even better epistemic consequences. This article suggests that to improve Wikipedia, we need to clarify what our epistemic values are and to better understand why Wikipedia works as well as it does. Somebody who reads Wikipedia is “rather in the position of a visitor to a public restroom,” says Mr. McHenry, Britannica's former editor. “It may be obviously dirty, so that he knows to exercise great care, or it may seem fairly clean, so that he may be lulled into a false sense of security. What he certainly does not know is who has used the facilities before him.” One wonders whether people like Mr. McHenry would prefer there to be no public lavatories at all. The Economist (Vol. 379, April 22, 2006, pp. 14–15) © 2008 Wiley Periodicals, Inc.
Mergers increase default risk

Abstract We examine the impact of mergers on default risk. Despite the potential for asset diversification, we find that, on average, a merger increases the default risk of the acquiring firm. This result cannot solely be explained by the tendency for generally safe acquirers to purchase riskier targets or by the tendency of acquiring firms to increase leverage post-merger. Our evidence suggests that managerial motivations may play an important role. In particular, we find larger merger-related increases in risk at firms where CEOs have large option-based compensation, where recent stock performance is poor, and where idiosyncratic equity volatility is high. These results suggest that the increased default risk may arise from aggressive managerial actions affecting risk enough to outweigh the strong risk-reducing asset diversification expected from a typical merger.
An ethical theory of action research pedagogy

Copyright 2006, SAGE Publications. This is a pre-copyedited version of an article accepted for publication in the edited journal Action Research following peer review. The definitive publisher-authenticated version is available through SAGE Publications: http://arj.sagepub.com/cgi/content/abstract/4/1/97. See also: http://www.eself-learning-arabic.cornell.edu/publications.htm#5
Operations management in the information economy: Information products, processes, and chains

Abstract The process of economic evolution from agriculture to manufacturing to services is nearing its end in the U.S. and other developed economies. Another major evolution along a different dimension is now underway: it is from a material-based economy to an information-based economy. In the past, the product–service dichotomy has proved useful as an organizing principle for the study of operations management. Today, however, a material–information categorization of products and services appears to be equally important and useful. The information sector now comprises the major share of the U.S. private economy and includes many of the largest industrial sectors and firms. We discuss the implications of this evolution for research and teaching in operations management (OM). The basic questions addressed here are: In what ways are information products, services, processes and chains similar to, or different from, those in the material world? To what extent is it possible to manage operations in information industries using the existing operations management concepts and techniques? The conclusions are mixed. To a great extent, traditional concepts are indeed applicable and useful. However, there are significant differences. For example, quantification and measurement pose a fundamental problem in the study of information industries. As a result, there are difficulties in analyzing some of the most basic OM issues related to productivity, cost, value, and transformation. Nevertheless, the process-centric methods of operations management can be quite effective in analyzing firms and industries that produce information goods and services. An understanding of process economics and information chains is also central to the analysis of competition given the impact of new technologies on processes, firms, information chains and information industries. We conclude that while there is much in the information sector that can be addressed with our current toolkit, some very interesting and challenging issues still remain open for research. From the perspective of management education too, operations management in the information economy is an area of growing importance, with some easy wins and some significant challenges.
ILLICH, EDUCATION, AND THE WIRE

Philosopher and social critic Ivan Illich died in 2002, having exposed the counterproductive, hypocritical, and destructive nature of numerous social institutions. That same year, HBO aired the first of five seasons of David Simon’s critically acclaimed series, The Wire.1 Surely if Ivan Illich had lived a little longer, he would have really liked the show. This paper will explain why, and in so doing, demonstrate both how television can help us understand Illich, and how Illich can help us understand society. Both Illich and The Wire are concerned with the role of social and government institutions in perpetuating the myth of salvation through capitalism. Illich critiqued such institutions as education, health care, and labor for their inevitable production of alienation, pathology, segregation, and inequality.2 Similarly, The Wire exam­ ines the way various institutions such as law enforcement, organized crime, labor, politics, education, and the media cultivate these same harms by promoting the mythologies of individualism, personal re­ sponsibility, free will, and success that is proportionate to effort.3 In particular, this Article will focus on two texts—first, Illich’s 1971 Deschooling Society, which calls for abolishing institutional­ ized education in favor of decentralized, personalized relationships that promote intentional learning; and second, The Wire’s fourth
Executive ownership, corporate value, and executive compensation: A unifying framework

Abstract This study presents an integrated investigation into the factors affecting executive ownership, the market value of the firm, and executive compensation by explicitly incorporating the simultaneity of the process determining these variables into the empirical estimation. Overall, the results of the study support the notion that a firm's market value, executive stock ownership, and executive compensation are jointly determined. Further, the findings suggest that executive stock ownership and executive compensation may serve as a type of bond by which top executives are induced to act in the best interests of shareholders. The study also finds that a firm's q ratio and an executive's job-specific experience (as well as firm size) are important determinants of executive compensation. This result is generally consistent with the view that the firm optimally establishes its managerial compensation plan in response to both its operating environment and the specific personal characteristics of its chief executive(s).
Fuzzy Logic and Corporate Governance Theories

Fuzzy logic is a theory that categorizes concepts or things belonging to more than one group. A methodology that explains how things function in multiple groups (not fully in one group or another) offers advantages when one definition or membership in a group accounts for belonging to multiple groups. A principal/agent model of corporate governance has some characterizations of fuzzy logic theory. The purpose of this article it to evaluate other models of corporate governance that account for the multi-agent role of senior officers of public companies and assess the accountability to the corporation. Corporate governance theorists continue to debate the inefficiency of agency theory, control costs, the role of management, and corporate purpose. This article furthers that discourse by examining an assumption within the principal/agent model of governance – that senior officers and directors owe the same fiduciary duties. Part II examines the incongruent nature of corporate purpose under the traditional principal/agent model of corporate governance and its role in fostering conflicts between the shareholders’ and the corporations’ interests. Part III then evaluates the stewardship theory. Part IV evaluates the mediating hierarchy theory of corporate governance. Finally Part V examines the judicial standards of review in Delaware – the business judgment rule, enhanced scrutiny, and entire fairness.
Language, high school leadership and the postsecondary outcomes of Hispanic students

Abstract This paper asks whether high school leadership activities play an important role in explaining the Hispanic college-completion gap. The analysis in this paper considers the role that English language fluency plays in a Hispanic student's leadership probability and in the student's future educational success. The main results in this paper are: first, after controlling for demographic and school characteristics, there are no major differences in high school leadership activities between Hispanics and non-Hispanics; second, high school leadership activities predict higher college attendance rates for all demographic groups; and third, high school leadership activities predict a higher probability of attaining a college degree among Hispanic students whose first language is not English. Importantly, this relationship is stronger among students whose first post-secondary institution is a 2-year college.
Normalizing the Temperature Function of Clusters of Galaxies

We reexamine the constraints that can be robustly obtained from the observed temperature function of X-ray studies of cluster of galaxies. The cluster mass function has been thoroughly and analytically studied in simulations, but a direct simulation of the temperature function is presented here for the first time. Adaptive hydrodynamic simulations using the cosmological Moving Mesh Hydro code are used to calibrate the temperature function for different popular cosmologies. Applying the new normalizations to the present-day cluster abundances, we find σ8=0.53±0.05Ω−0.450 for a hyperbolic universe and σ8 = 0.53±0.05Ω−0.530 for a spatially flat universe with a cosmological constant. The simulations followed the gravitational shock heating of the gas and dark matter and used a crude model for energy injection by supernova heating. The error bars are dominated by uncertainties in the heating/cooling models. We present fitting formulae for the mass-temperature conversions and cluster abundances based on these simulations.
National Survey Evidence on Disasters and Relief: Risk Beliefs, Self-Interest, and Compassion

A nationally representative sample of respondents estimated their fatality risks from four types of natural disasters, and indicated whether they favored governmental disaster relief. For all hazards, including auto accident risks, most respondents assessed their risks as being below average, with one-third assessing them as average. Individuals from high-risk states, or with experience with disasters, estimate risks higher, though by less than reasonable calculations require. Four-fifths of our respondents favor government relief for disaster victims, but only one-third do for victims in high-risk areas. Individuals who perceive themselves at higher risk are more supportive of government assistance.
Am I My Partner’s Keeper? Peer Review in Law Firms

This article explores the concept of peer review in the practice of law. The article begins with an introduction to law partners’ liability exposure for the acts or omissions of their law partners. The article explains how this exposure has traditionally been approached as vicarious liability and how the government is attempting to transform these issues into direct liability by using failure to monitor claims. Part I briefly reviews perspectives on the emergence, growth, and structure of law firms, then uses a matrix to show how firm culture and organizational structure affect internal and external controls on attorney conduct. Part II discusses the concept of law firm peer review and identifies its goals and purposes. Part III considers whether law firm principals have a legal duty to monitor their peers. Part IV summarizes the organized bar’s initiative relating to peer review. Part V reviews types of law firm peer review. Part VI concludes by speculating on the future of peer review.
Kernel Ordinary Differential Equations

Ordinary differential equation (ODE) is widely used in modeling biological and physical processes in science. In this article, we propose a new reproducing kernel-based approach for estimation and ...
Dynamic Simulation-Guided Design of Tumbling Magnetic Microrobots

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they move over a substrate. At smaller length scales, the influence of adhesion and friction, which scales with surface area, becomes more pronounced. Thus, rigid body dynamic simulators, which implicitly assume that contact between two bodies can be modeled as point contact are not suitable. In this paper, we present techniques for simulating the motion of microrobots where there can be intermittent and non-point contact between the robot and the substrate. We use these techniques to study the motion of tumbling microrobots of different shapes and select shapes that are optimal for improving locomotion performance. Simulation results are verified using experimental data on linear velocity, maximum climbable incline angle, and microrobot trajectory. Microrobots with improved geometry were fabricated, but limitations in the fabrication process resulted in unexpected manufacturing errors and material/size scale adjustments. The developed simulation model is able to incorporate these limitations and emulate their effect on the microrobot's motion, reproducing the experimental behavior of the tumbling microrobots, further showcasing the effectiveness of having such a dynamic model.
Electrical flows over spanning trees

The network reconfiguration problem seeks to find a rooted tree T such that the energy of the (unique) feasible electrical flow over T is minimized. The tree requirement on the support of the flow is motivated by operational constraints in electricity distribution networks. The bulk of existing results on convex optimization over vertices of polytopes and on the structure of electrical flows do not easily give guarantees for this problem, while many heuristic methods have been developed in the power systems community as early as 1989. Our main contribution is to give the first provable approximation guarantees for the network reconfiguration problem. We provide novel lower bounds and corresponding approximation factors for various settings ranging from $$\min \{{\mathcal {O}}(m-n), {\mathcal {O}}(n)\}$$ for general graphs, to $${\mathcal {O}}(\sqrt{n})$$ over grids with uniform resistances on edges, and $${\mathcal {O}}(1)$$ for grids with uniform edge resistances and demands. To obtain the result for general graphs, we propose a new method for (approximate) spectral graph sparsification, which may be of independent interest. Using insights from our theoretical results, we propose a general heuristic for the network reconfiguration problem that is orders of magnitude faster than existing methods in the literature, while obtaining comparable performance.
The fiduciary obligation as the adoption of ends

Introduction 100 I. The Contractual Approach 104 A. The Contractual Approach to Fiduciary Duties 107 B. Limitations of the Contractual Approach 110 1. The Overand Under-Inclusive Critique....... 110 2. Mandatory Terms as Important and Significant 119 a. Trustees 119 b. Corporate Officers and Directors 125 II. The Adoption of Ends 129 A. Pursuing the Principal‟s Ends 130 1. The Fiduciary‟s Role 131 2. The Adoption of Ends as a Rule of Interpretation 135 B. Imperfect Duty 137 1. Kant‟s System of Law and Ethics 139 2. Perfect and Imperfect Duties 140 III. Adoption of Ends in Fiduciary Law 148
The invisible‐hand heuristic for origin‐destination integer multicommodity network flows

Origin-destination integer multicommodity flow problems differ from classic multicommodity models in that each commodity has one source and one sink, and each commodity must be routed along a single path. A new invisible-hand heuristic that mimics economic markets' behavior is presented and tested on large-scale telecommunications networks, with solution times two orders of magnitude faster than Cplex's LP relaxation, more dramatic MIP ratios, and small solution value differences.
Structural Labor Rights

American labor law was designed to ensure equal bargaining power between workers and employers. But workers’ collective power against increasingly dominant employers has disintegrated. With union density at an abysmal 6.2% in the private sector—a level unequaled since the Great Depression—the vast majority of workers depend only on individual negotiations with employers to lift stagnant wages and ensure upward economic mobility. But decentralized, individual bargaining is not enough. Economists and legal scholars increasingly agree that, absent regulation to protect workers’ collective rights, labor markets naturally strengthen employers’ bargaining power over workers. Existing labor and antitrust law have failed to step in, leaving employers free to coordinate and consolidate labor market power while constraining workers’ ability to do the same. The dissolution of workers’ collective rights has resulted in spiking income inequality: workers have suffered economy-wide wage stagnation and a declining share of the national income for decades. To resolve this crisis, some scholars have advocated for ambitious labor law reforms, like sector-wide bargaining, while others have turned to antitrust law to tackle employer power. But these proposals overlook an existing opportunity already contained in the labor law that would avoid political and doctrinal obstacles to such large-scale reforms. This Article argues for a “structural” approach to the labor law that revives and modernizes its equal bargaining power purpose through deploying innovative social scientific analysis. A “structural” approach is one that takes into account workers’ bargaining power relative to employers in determining the scope of substantive labor rights and in resolving disputes. The Article makes three key contributions. First, it documents the dispersion and misalignment of workers’ collective rights under current labor law, detailing the historical narrowing of workers’ collective rights to limited tactics by a small set of workers against highly-protected individual enterprises and the concomitant rise of employer power (Part I). Second, it introduces and schematizes the wealth of social scientific literature relevant for evaluating the relative bargaining power of employers and employees (Part II). And finally, it offers concrete proposals for how to apply these social scientific tools and insights to three areas of the Board’s adjudication and regulatory authority: “employer”/“employee” status determinations, the determination of employees’ substantive rights under Section 7 of the NLRA, and the determination of what counts as sanctionable unfair labor practices under Section 8 of the NLRA (Part III).
High frequency atmospheric gravity wave damping in the mesosphere

Abstract Correlative measurements of temperature and winds by Na lidar and brightness in OH and O 2 Atmospheric band airglow have been made at Albuquerque, NM and Maui, HI for a study of high frequency (period less than 30 minutes) Atmospheric Gravity Waves. Wave studies from four nights have been made and the correlative information describes the intrinsic wave properties with altitude, their damping characteristics, and resulting accelerations to the large scale circulation in the 85–100 km altitude region. Generally, saturated to super-saturated conditions were observed below 95 km. Above this altitude, they were less saturated to freely propagating.
Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates

We study the multi-agent safe control problem where agents should avoid collisions to static obstacles and collisions with each other while reaching their goals. Our core idea is to learn the multi-agent control policy jointly with learning the control barrier functions as safety certificates. We propose a novel joint-learning framework that can be implemented in a decentralized fashion, with generalization guarantees for certain function classes. Such a decentralized framework can adapt to an arbitrarily large number of agents. Building upon this framework, we further improve the scalability by incorporating neural network architectures that are invariant to the quantity and permutation of neighboring agents. In addition, we propose a new spontaneous policy refinement method to further enforce the certificate condition during testing. We provide extensive experiments to demonstrate that our method significantly outperforms other leading multi-agent control approaches in terms of maintaining safety and completing original tasks. Our approach also shows exceptional generalization capability in that the control policy can be trained with 8 agents in one scenario, while being used on other scenarios with up to 1024 agents in complex multi-agent environments and dynamics.
Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime

This paper describes how we successfully used the HPX programming model to port the DCA++ application on multiple architectures that include POWER9, x86, ARM v8, and NVIDIA GPUs. We describe the lessons we can learn from this experience as well as the benefits of enabling the HPX in the application to improve the CPU threading part of the code, which led to an overall 21% improvement across architectures. We also describe how we used HPX-APEX to raise the level of abstraction to understand performance issues and to identify tasking optimization opportunities in the code, and how these relate to CPU/GPU utilization counters, device memory allocation over time, and CPU kernel level context switches on a given architecture.
Log-Modular Quantum Groups at Even Roots of Unity and the Quantum Frobenius I

We construct log-modular quantum groups at even order roots of unity, both as finite-dimensional ribbon quasi-Hopf algebras and as finite ribbon tensor categories, via a de-equivariantization procedure. The existence of such quantum groups had been predicted by certain conformal field theory considerations, but constructions had not appeared until recently. We show that our quantum groups can be identified with those of Creutzig-Gainutdinov-Runkel in type $$A_1$$ , and Gainutdinov-Lentner-Ohrmann in arbitrary Dynkin type. We discuss conjectural relations with vertex operator algebras at (1, p)-central charge. For example, we explain how one can (conjecturally) employ known linear equivalences between the triplet vertex algebra and quantum $$\mathfrak {sl}_2$$ , in conjunction with a natural $${{\,\mathrm{PSL}\,}}_2$$ -action on quantum $$\mathfrak {sl}_2$$ provided by our de-equivariantization construction, in order to deduce linear equivalences between “extended” quantum groups, the singlet vertex operator algebra, and the (1, p)-Virasoro logarithmic minimal model. We assume some restrictions on the order of our root of unity outside of type $$A_1$$ , which we intend to eliminate in a subsequent paper.
Predicting functional consequences of mutations using molecular interaction network features

Variant interpretation remains a central challenge for precision medicine. Missense variants are particularly difficult to understand as they change only a single amino acid in a protein sequence yet can have large and varied effects on protein activity. Numerous tools have been developed to identify missense variants with putative disease consequences from protein sequence and structure. However, biological function arises through higher order interactions among proteins and molecules within cells. We therefore sought to capture information about the potential of missense mutations to perturb protein interaction networks by integrating protein structure and interaction data. We developed 16 network-based annotations for missense mutations that provide orthogonal information to features classically used to prioritize variants. We then evaluated them in the context of a proven machine-learning framework for variant effect prediction across multiple benchmark datasets to demonstrate their potential to improve variant classification. Interestingly, network features resulted in larger performance gains for classifying somatic mutations than for germline variants, possibly due to different constraints on what mutations are tolerated at the cellular versus organismal level. Our results suggest that modeling variant potential to perturb context-specific interactome networks is a fruitful strategy to advance in silico variant effect prediction.
This Whole Thing Smacks of Gender: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis

Smart weight scales offer bioimpedance-based body composition analysis as a supplement to pure body weight measurement. Companies such as Withings and Fitbit tout composition analysis as providing self-knowledge and the ability to make more informed decisions. However, these aspirational statements elide the reality that these numbers are a product of proprietary regression equations that require a binary sex/gender as their input. Our paper combines transgender studies-influenced personal narrative with an analysis of the scientific basis of bioimpedance technology used as part of the Withings smart scale. Attempting to include nonbinary people reveals that bioelectrical impedance analysis has always rested on physiologically shaky ground. White nonbinary people are merely the tip of the iceberg of those who may find that their smart scale is not so intelligent when it comes to their bodies. Using body composition analysis as an example, we explore how the problem of trans and nonbinary inclusion in personal health tech goes beyond the issues of adding a third "gender" box or slapping a rainbow flag on the packaging. We also provide recommendations as to how to approach creating more inclusive technologies even while still relying on exclusionary data.
A Dynamic Model of Speech for the Social Sciences

Speech and dialogue are the heart of politics: nearly every political institution in the world involves verbal communication. Yet vast literatures on political communication focus almost exclusively on what words were spoken, entirely ignoring how they were delivered—auditory cues that convey emotion, signal positions, and establish reputation. We develop a model that opens this information to principled statistical inquiry: the model of audio and speech structure (MASS). Our approach models political speech as a stochastic process shaped by fixed and time-varying covariates, including the history of the conversation itself. In an application to Supreme Court oral arguments, we demonstrate how vocal tone signals crucial information—skepticism of legal arguments—that is indecipherable to text models. Results show that justices do not use questioning to strategically manipulate their peers but rather engage sincerely with the presented arguments. Our easy-to-use R package, communication, implements the model and many more tools for audio analysis.
A sub-modular receding horizon solution for mobile multi-agent persistent monitoring

Author(s): Rezazadeh, Navid; Kia, Solmaz S | Abstract: We study the problem of persistent monitoring of a finite number of inter-connected geographical nodes by a group of heterogeneous mobile agents. We assign to each geographical node a concave and increasing reward function that resets to zero after an agent's visit. Then, we design the optimal dispatch policy of which nodes to visit at what time and by what agent by finding a policy set that maximizes a utility that is defined as the total reward collected at visit times. We show that this optimization problem is NP-hard and its computational complexity increases exponentially with the number of the agents and the length of the mission horizon. By showing that the utility function is a monotone increasing and submodular set function of agents' policy, we proceed to propose a suboptimal dispatch policy design with a known optimality gap. To reduce the time complexity of constructing the feasible search set and also to induce robustness to changes in the operational factors, we perform our suboptimal policy design in a receding horizon fashion. Then, to compensate for the shortsightedness of the receding horizon approach for reward distribution beyond the feasible policies of the agents over the receding horizon, we add a new term to our utility, which provides a measure of nodal importance beyond the receding horizon's sight. This term gives the policy design an intuition to steer the agents towards the nodes with higher rewards on the patrolling graph. Finally, we discuss how our proposed algorithm can be implemented in a decentralized manner. A simulation study demonstrates our results.
Targeting androgen regulation of TMPRSS2 and ACE2 as a therapeutic strategy to combat COVID-19.

Summary Epidemiological data showing increased severity and mortality of COVID-19 in men suggests a potential role for androgen in SARS-CoV-2 infection. Here, we present evidence for the transcriptional regulation of SARS-CoV-2 host cell receptor ACE2 and TMPRSS2 by androgen in mouse and human cells. Additionally, we demonstrate the endogenous interaction between TMPRSS2 and ACE2 in human cells and validate ACE2 as a TMPRSS2 substrate. Furthermore, camostat—a TMPRSS2 inhibitor—blocked the cleavage of pseudotype SARS-CoV-2 surface Spike without disrupting TMPRSS2-ACE2 interaction, thus providing evidence for the first time of a direct role of TMPRSS2 in priming the SARS-CoV-2 Spike, required for viral fusion to the host cell. Importantly, androgen-deprivation, anti-androgens, or camostat attenuated the SARS-CoV-2 S-mediated cellular entry. Together, our data provide a strong rationale for clinical evaluations of TMPRSS2 inhibitors and androgen-deprivation therapy/androgen receptor antagonists alone or in combination with antiviral drugs as early as clinically possible to prevent COVID-19 progression.
A Tail Fiber Protein and a Receptor-Binding Protein Mediate ICP2 Bacteriophage Interactions with Vibrio cholerae OmpU

ICP2 is a virulent bacteriophage (phage) that preys on Vibrio cholerae. ICP2 was first isolated from cholera patient stool samples. Some of these stools also contained ICP2-resistant isogenic V. cholerae strains harboring missense mutations in the trimeric outer membrane porin protein OmpU, identifying it as the ICP2 receptor. In this study, we identify the ICP2 proteins that mediate interactions with OmpU by selecting for ICP2 host range mutants within infant rabbits infected with a mixture of wild-type and OmpU mutant strains. ICP2 host range mutants that can now infect OmpU mutant strains have missense mutations in the putative tail fiber gene gp25 and the putative adhesin gene gp23. Using site-specific mutagenesis, we show that single or double mutations in gp25 are sufficient to generate the host range mutant phenotype. However, at least one additional mutation in gp23 is required for robust plaque formation on specific OmpU mutants. Mutations in gp23 alone were insufficient to produce a host range mutant phenotype. All ICP2 host range mutants retained the ability to form plaques on wild-type V. cholerae cells. The strength of binding of host range mutants to V. cholerae correlated with plaque morphology, indicating that the selected mutations in gp25 and gp23 restore molecular interactions with the receptor. We propose that ICP2 host range mutants evolve by a two-step process. First, gp25 mutations are selected for their broad host range, albeit accompanied by low-level phage adsorption. Subsequent selection occurs for gp23 mutations that further increase productive binding to specific OmpU alleles, allowing for near-wild-type efficiencies of adsorption and subsequent phage multiplication. IMPORTANCE Concern over multidrug-resistant bacterial pathogens, including Vibrio cholerae, has led to renewed interest in phage biology and the potential for phage therapy. ICP2 is a genetically unique virulent phage isolated from cholera patient stool samples. It is also one of three phages in a prophylactic cocktail that have been shown to be effective in animal models of infection and the only one of the three that requires a protein receptor (OmpU). This study identifies an ICP2 tail fiber and a receptor binding protein and examines how ICP2 responds to the selective pressures of phage-resistant OmpU mutants. We found that this particular coevolutionary arms race presents fitness costs to both ICP2 and V. cholerae.
Cost of inner amenable groupoids

Kida and Tucker-Drob recently extended the notion of inner amenability from countable groups to discrete p.m.p. groupoids. In this article, we show that inner amenable groupoids have "fixed priced 1" in the sense that every principal extension of an inner amenable groupoid has cost 1. This simultaneously generalizes and unifies two well known results on cost from the literature, namely, (1) a theorem of Kechris stating that every ergodic p.m.p. equivalence relation admitting a nontrivial asymptotically central sequence in its full group has cost 1, and (2) a theorem of Tucker-Drob stating that inner amenable groups have fixed price 1.
Re-imagining Algorithmic Fairness in India and Beyond

Conventional algorithmic fairness is West-centric, as seen in its subgroups, values, and methods. In this paper, we de-center algorithmic fairness and analyse AI power in India. Based on 36 qualitative interviews and a discourse analysis of algorithmic deployments in India, we find that several assumptions of algorithmic fairness are challenged. We find that in India, data is not always reliable due to socio-economic factors, ML makers appear to follow double standards, and AI evokes unquestioning aspiration. We contend that localising model fairness alone can be window dressing in India, where the distance between models and oppressed communities is large. Instead, we re-imagine algorithmic fairness in India and provide a roadmap to re-contextualise data and models, empower oppressed communities, and enable Fair-ML ecosystems.
Rapidly Increasing SARS-CoV-2 Neutralization by Intravenous Immunoglobulins Produced from Plasma Collected During the 2020 Pandemic.

Immunoglobulin (IG) lots (N=176) released since March 2020 were tested for SARS-CoV-2 neutralizing antibodies, with first positive results for September 2020 lots, mean = 1.7 IU/ml, 46% of lots positive. From there, values steadily increased, in correlation with the cumulative COVID-19 incidence, to reach a mean of 31.2 IU/ml and 93% of lots positive by January 2021. Extrapolating the correlation, IGs could reach an anti-SARS-CoV-2 potency of ~345 IU/ml by July 2021. At that stage, prophylactic IG treatment for primary/secondary immunodeficiency could contain similar doses of anti-SARS-CoV-2 as convalescent plasma which is used for treatment of COVID-19.
Neonatal outcomes during the COVID-19 pandemic in New York City.

We explored rates of premature births and neonatal intensive care unit (NICU) admissions at the Mount Sinai Hospital after the implementation of COVID-19 lockdown measures (March 16, 2020) and phase one reopening (June 8, 2020), comparing them to those of the same time periods from 2012-2019. Mount Sinai Hospital is in New York City (NYC), an early epicenter of COVID-19 in the United States, which was heavily impacted by the pandemic during the study period. Among 43,963 singleton births, we observed no difference in either outcome after the implementation of lockdown measures when compared to the same trends in prior years (p=0.09-0.35). Of interest, we observed a statistically significant decrease in premature births after NYC phase one reopening compared to those of the same time period in 2012-2019 across all time windows (p=0.0028-0.049), and a statistically significant decrease in NICU admissions over the largest time window (2.75 months) compared to prior years (p=0.0011).
The Current Density in Quantum Electrodynamics

The formulation of field theory given previously suggests an alternative expression for the current density in quantum electrodynamics. This expression is gauge-invariant and conserved and differs from the usual current density by the divergence of a tensor which vanishes in the absence of a field. Corresponding to this current is a new electromagnetic field, which differs from the old only in the presence of particles. The energy density of this new field then contains the interaction energy of the magnetic moments of the particles with the magnetic field, together with some terms which are small for atomic electrons.
Control of aperture closure during reach-to-grasp movements in immersive haptic-free virtual reality.

Virtual reality (VR) has garnered much interest as a training environment for motor skill acquisition, including for neurological rehabilitation of upper extremities. While the focus has been on gross upper limb motion, VR applications that involve reaching for, and interacting with, virtual objects are growing. The absence of true haptics in VR when it comes to hand-object interactions raises a fundamentally important question: can haptic-free immersive virtual environments (hf-VEs) support naturalistic coordination of reach-to-grasp movements? This issue has been grossly understudied, and yet is of significant importance in the development and application of VR across a number of sectors. In a previous study (Furmanek et al., J Neuroeng Rehabil 16:78, 2019), we reported that reach-to-grasp movements are similarly coordinated in both the physical environment (PE) and hf-VE. The most noteworthy difference was that the closure phase—which begins at maximum aperture and lasts through the end of the movement—was longer in hf-VE than in PE, suggesting that different control laws might govern the initiation of closure between the two environments. To do so, we reanalyzed data from Furmanek et al. (J Neuroeng Rehabil 16:78, 2019), in which the participants reached to grasp three differently sized physical objects, and matching 3D virtual object renderings, placed at three different locations. Our analysis revealed two key findings pertaining to the initiation of closure in PE and hf-VE. First, the respective control laws governing the initiation of aperture closure in PE and hf-VE both included state estimates of transport velocity and acceleration, supporting a general unified control policy for implementing reach-to-grasp across physical and virtual environments. Second, the aperture was less informative to the control law in hf-VE. We suggest that the latter was likely because transport velocity at closure onset and aperture at closure onset were less independent in hf-VE than in PE, ultimately resulting in an aperture at closure onset having a weaker influence on the initiation of closure. In this way, the excess time and muscular effort needed to actively bring the fingers to a stop at the interface of a virtual object was factored into the control law governing the initiation of closure in hf-VE. Critically, this control law remained applicable, albeit with different weights in hf-VE, despite the absence of terminal haptic feedback and potential perceptual differences.
Wave functions for fractional Chern insulators

We provide a parton construction of wave functions and effective field theories for fractional Chern insulators. We also analyze a strong-coupling expansion in lattice gauge theory that enables us to reliably map the parton gauge theory onto a microscopic electron Hamiltonian. We show that this strong-coupling expansion is useful because of a special hierarchy of energy scales in fractional quantum Hall physics. Our procedure is illustrated using the Hofstadter model and then applied to bosons at half filling and fermions at one-third filling in a checkerboard lattice model recently studied numerically. Because our construction provides a more or less unique mapping from microscopic model to effective parton description, we obtain wave functions in the same phase as the observed fractional Chern insulators without tuning any continuous parameters.
Phenolic acid-degrading Paraburkholderia prime decomposition in forest soil

Plant-derived phenolic acids are catabolized by soil microorganisms whose activity may enhance the decomposition of soil organic carbon (SOC). We characterized whether phenolic acid-degrading bacteria enhance SOC mineralization in forest soils when primed with 13C-labeled p-hydroxybenzoic acid (pHB). We further tested whether pHB-induced priming could explain differences in SOC content among mono-specific tree plantations in a 70-year-old common garden experiment. pHB addition primed significant losses of SOC (3–13 µmols C g−1 dry wt soil over 7 days) compared to glucose, which reduced mineralization (-3 to -8 µmols C g−1 dry wt soil over 7 days). The principal degraders of pHB were Paraburkholderia and Caballeronia in all plantations regardless of tree species or soil type, with one predominant phylotype (RP11ASV) enriched 23-fold following peak pHB respiration. We isolated and confirmed the phenolic degrading activity of a strain matching this phylotype (RP11T), which encoded numerous oxidative enzymes, including secretion signal-bearing laccase, Dyp-type peroxidase and aryl-alcohol oxidase. Increased relative abundance of RP11ASV corresponded with higher pHB respiration and expression of pHB monooxygenase (pobA), which was inversely proportional to SOC content among plantations. pobA expression proved a responsive measure of priming activity. We found that stimulating phenolic-acid degrading bacteria can prime decomposition and that this activity, corresponding with differences in tree species, is a potential mechanism in SOC cycling in forests. Overall, this study highlights the ecology and function of Paraburkholderia whose associations with plant roots and capacity to degrade phenolics suggest a role for specialized bacteria in the priming effect.
The Democratic Deficit in U.S. Education Governance

Political scientists have largely overlooked the democratic challenges inherent in the governance of U.S. public education—despite profound implications for educational delivery and, ultimately, social mobility and economic growth. In this study, we consider whether the interests of adult voters who elect local school boards are likely to be aligned with the needs of the students their districts educate. Specifically, we compare voters and students in four states on several policy-relevant dimensions. Using official voter turnout records and rich microtargeting data, we document considerable demographic differences between voters who participate in school board elections and the students attending the schools that boards oversee. These gaps are most pronounced in majority nonwhite jurisdictions and school districts with the largest racial achievement gaps. Our novel analysis provides important context for understanding the political pressures facing school boards and their likely role in perpetuating educational and, ultimately, societal inequality.
Maternal and Neonatal Outcomes of Pregnancies in Women With Congenital Heart Disease: A Meta‐Analysis

Background With advances in the treatment of congenital heart disease (CHD), more women with CHD survive childhood to reach reproductive age. The objective of this study was to evaluate the maternal and neonatal outcomes of pregnancies among women with CHD in the modern era. Methods and Results We conducted a meta-analysis of peer-reviewed literature published January 2007 through June 2019. Studies were included if they reported on maternal or fetal mortality and provided data by CHD lesion. Meta-analysis was performed using random effect regression modeling using Comprehensive Meta-Analysis (v3). CHD lesions were categorized as mild, moderate, and severe to allow for pooling of data across studies. Of 2200 articles returned by our search, 32 met inclusion criteria for this study. Overall, the rate of neonatal mortality was 1%, 3.1%, and 3.5% in mild, moderate, and severe lesions, respectively. There were too few maternal deaths in any group to pool data. The rates of maternal and neonatal morbidity among women with CHD increase with severity of lesion. Specifically, rates of maternal arrhythmia and heart failure, cesarean section, preterm birth, and small for gestational age neonate are all markedly increased as severity of maternal CHD increases. Conclusions In the modern era, pregnancy in women with CHD typically has a successful outcome in both mother and child. However, as maternal CHD severity increases, so too does the risk of numerous morbidities and neonatal mortality. These findings may help in counseling women with CHD who plan to become pregnant, especially women with severe lesions.
Searches for dark photons at accelerators

Dark matter particles may interact with other dark matter particles via a new force mediated by a dark photon, A′, which would be the dark-sector analog to the ordinary photon of electromagnetism. ...
Modeling context in answer sentence selection systems on a latency budget

Answer Sentence Selection (AS2) is an efficient approach for the design of open-domain Question Answering (QA) systems. In order to achieve low latency, traditional AS2 models score question-answer pairs individually, ignoring any information from the document each potential answer was extracted from. In contrast, more computationally expensive models designed for machine reading comprehension tasks typically receive one or more passages as input, which often results in better accuracy. In this work, we present an approach to efficiently incorporate contextual information in AS2 models. For each answer candidate, we first use unsupervised similarity techniques to extract relevant sentences from its source document, which we then feed into an efficient transformer architecture fine-tuned for AS2. Our best approach, which leverages a multi-way attention architecture to efficiently encode context, improves 6% to 11% over non-contextual state of the art in AS2 with minimal impact on system latency. All experiments in this work were conducted in English.