cssi/SciSciGPT-SciSciNet huggingface dataset:
Religion in the New Republic

Establishment Clause case law is incoherent in many consequential ways. Many point directly to the Supreme Court of the United States for this lamentable state of affairs. I disagree with this diagnosis. It is an inaccurate and incomplete criticism to blame the Supreme Court for the current landscape of establishment jurisprudence. Modern establishment doctrine - incoherent though it may be - is more properly viewed as an evolving product of the continuing public constitutional discourse among Americans and between public and private forces about the proper role of religion in the American polity. Just as early Americans debated among themselves, armed with their differing hopes and visions about how to mediate the intersection of religion and the state, so too Supreme Court decisions have, on a parallel track, reflected the changing contours of this important debate - a conversation that has yet to cede center stage in the American public square.
Judge Richard Posner on Civil Liberties: Pragmatic Authoritarian Libertarian

How do you reconcile an opinion like Edmond v Goldsmith 1 with the anti-civil-libertarian positions that Richard Posner advocates in his book Not a Suicide Pact: The Constitution in a Time of National Emergency? 2 The book itself is self-consciously directed against a civil libertarian framework. “The sharpest challenge to the approach that I am sketching,” Posner knowingly anticipates, “will come from civil libertarians,” by which he means those “adherents to the especially capacious view of civil liberties that is often advanced in litigation and lobbying by the American Civil Liberties Union.” 3 In his book, Richard Posner argues in defense of the use of coercive interrogation techniques “up to and including torture”; 4 in support of the National Security Agency (NSA) program of warrantless electronic surveillance of American citizens; 5 in favor of criminally punishing the dissemination (including by the media) of classified material concerning national security; 6 and in defense of the constitutionality (though not yet the necessity) of prohibiting extremist speech. 7 By the end of the book, Richard Posner advances a novel judicial doctrine of “national security necessity” that would essentially extend a form of qualified immunity “to national security officials who violate a constitutional right in good faith in compelling situations of necessity” as a better and simpler alternative to presidential pardons. 8
Information and default in consumer credit markets: Evidence from a natural experiment

Abstract Despite the prominent role that information plays in the economic theory of credit markets, no direct evidence exists on the causal relationship between the availability of information about loan applicants and loan performance. This paper provides such evidence by exploiting an unanticipated change in the amount of information visible in an online market for loans to measure the impact of lender information on loan outcomes. Conditional on data available in both periods, allowing lenders to access more borrower credit information substantially reduced default rates among high-risk borrowers by 17 percentage points on average but had almost no effect on low-risk borrowers. Immediate lender returns increased by about 12 percentage points and took 5 weeks to decay. Among high-risk loans, returns converged within credit grade bins. Using panel information on lenders, I find that the information improved loan performance in two ways: first, it significantly improved the screening performed by lenders already active on the website. Second, it attracted new lenders who were better at screening loan applicants and earned higher returns. I test whether the reform resulted in selection among loan applicants using data that is unobserved by lenders in both periods. I find that there was no change in unobserved credit quality among loan applicants, but that the information improved lenders’ ability to select the (unobservably) higher quality borrowers from the pool of applicants. I also find suggestive evidence that lenders’ beliefs about loan applicants, as measured by the minimum interest rate at which they were willing to lend, converged.
Introduction to Jesse Burkhead Symposium

Government budgeting is one of the major processes by which the use of public resources is planned and controlled. To the extent that this is done well, governmental programs are brought increasingly to the service of its citizens, enhancing their material and cultural status. The study of government budgeting is a study in applied economics—in the allocation of scarce resources. This study must look at operations and begin with organization and procedure, the routines which have been established for decision–making in government. It should extend to an examination of the influences, governmental and nongovernmental, that come to bear on the decision-making process. Ours is both an organized society and a society of organizations. The significance of organization is nowhere more evident than in the public sector. Here organizational arrangements bring together the learning of all social scientists. The patterns for decision-making do not provide separate compartments for economic knowledge, for political knowledge, for social knowledge. These are merged in the organizational arrangements which have been established for the conduct of governmental affairs.1
Association between county-level coal-fired power plant pollution and racial disparities in preterm births from 2000 to 2018

Coal has historically been a primary energy source in the United States. The byproducts of coal combustion, such as fine particulate matter (PM2.5), have increasingly been associated with adverse birth outcomes. The goal of this study was to leverage the current progressive transition away from coal in the United States (U.S.) to assess whether coal PM2.5 is associated with preterm birth rates and whether this association differs by maternal Black/White race/ethnicity. Using a novel dispersion modeling approach, we estimated PM2.5 pollution from coal-fired power plants nationwide at the county-level during the study period (2000–2018). We also obtained county-level preterm birth rates for non-Hispanic White and non-Hispanic Black mothers. We used a generalized additive mixed model to estimate the relationship between coal PM2.5 and preterm birth rates, overall and stratified by maternal race. We included a natural spline to allow for non-linearity in the concentration–response curve. We observed a positive non-linear relationship between coal PM2.5 and preterm birth rate, which plateaued at higher levels of pollution. We also observed differential associations by maternal race; the association was stronger for White women, especially at higher levels of coal PM2.5 (> 2 μg/m3). Our findings suggest that the transition away from coal may reduce preterm birth rates in the U.S.
Pumping patterns and work done during peristalsis in finite-length elastic tubes

Balloon dilation catheters are often used to quantify the physiological state of peristaltic activity in tubular organs and comment on their ability to propel fluid which is important for healthy human function. To fully understand this system's behavior, we analyzed the effect of a solitary peristaltic wave on a fluid-filled elastic tube with closed ends. A reduced order model that predicts the resulting tube wall deformations, flow velocities, and pressure variations is presented. This simplified model is compared with detailed fluid-structure three-dimensional (3D) immersed boundary (IB) simulations of peristaltic pumping in tube walls made of hyperelastic material. The major dynamics observed in the 3D simulations were also displayed by our one-dimensional (1D) model under laminar flow conditions. Using the 1D model, several pumping regimes were investigated and presented in the form of a regime map that summarizes the system's response for a range of physiological conditions. Finally, the amount of work done during a peristaltic event in this configuration was defined and quantified. The variation of elastic energy and work done during pumping was found to have a unique signature for each regime. An extension of the 1D model is applied to enhance patient data collected by the device and find the work done for a typical esophageal peristaltic wave. This detailed characterization of the system's behavior aids in better interpreting the clinical data obtained from dilation catheters. Additionally, the pumping capacity of the esophagus can be quantified for comparative studies between disease groups.
Does Perspective Taking Matter for Writing? Perspective Taking in Source-Based Analytical Writing of Secondary Students.

Perspective taking, one’s knowledge of their own mental and emotional states and inferences about others’ mental and emotional states, is an important skill for writing development. In the present study, we examined how perspective taking is expressed in writing and how it is related to overall writing quality. We analyzed seventh graders’ source-based analytical essays (N = 195) to investigate (1) the extent to which students incorporated perspective taking in their essays, (2) how the extent of perspective taking in essays differ by students’ sex and English learner status, and (3) the extent to which perspective taking in writing is associated with overall writing quality. Findings revealed that students wrote more from their own perspective than that of others. Moreover, the results of multi-level analyses suggested that female students exhibited more varied perspectives but there was no meaningful difference by English learner status. Lastly, greater extent of perspective taking, particularly that of higher level of perspectives (i.e., dual perspective), was associated with better writing quality, after accounting for students’ demographic backgrounds (e.g., sex, poverty status, English learner status) and essay length. These results underscore the importance of writing from multiple perspectives on writing quality.
Simultaneous Trajectory Optimization and Force Control with Soft Contact Mechanics

Force modulation of robotic manipulators has been extensively studied for several decades but is not yet commonly used in safety-critical applications due to a lack of accurate interaction contact modeling and weak performance guarantees - a large proportion of them concerning the modulation of interaction forces. This study presents a high-level framework for simultaneous trajectory optimization and force control of the interaction between manipulator and soft environments. Sliding friction and normal contact force are taken into account. The dynamics of the soft contact model and the manipulator dynamics are simultaneously incorporated in a trajectory optimizer to generate desired motion and force profiles. A constrained optimization framework based on Differential Dynamic Programming and Alternative Direction Method of Multipliers has been employed to generate optimal control inputs and high-dimensional state trajectories. Experimental validation of the model performance is conducted on a soft substrate with known material properties using a Cartesian space force control mode. Results show a comparison of ground truth and predicted model based contact force states for multiple Cartesian motions and the validity range of the friction model. The proposed high-level planning has the potential to be leveraged for medical tasks involving manipulation of compliant, delicate, and deformable tissues.
GPU coprocessors as a service for deep learning inference in high energy physics

In the next decade, the demands for computing in large scientific experiments are expected to grow tremendously. During the same time period, CPU performance increases will be limited. At the CERN Large Hadron Collider (LHC), these two issues will confront one another as the collider is upgraded for high luminosity running. Alternative processors such as graphics processing units (GPUs) can resolve this confrontation provided that algorithms can be sufficiently accelerated. In many cases, algorithmic speedups are found to be largest through the adoption of deep learning algorithms. We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction workflow of high energy physics. We present several realistic examples and discuss a strategy for the seamless integration of coprocessors so that the LHC can maintain, if not exceed, its current performance throughout its running.
FOXO1 mitigates the SMAD3/FOXL2C134W Transcriptomic Effect in a Model of Human Adult Granulosa Cell Tumor

Adult granulosa cell tumor (aGCT) is a rare type of stromal cell malignant cancer of the ovary characterized by elevated estrogen levels. aGCTs ubiquitously harbor a somatic mutation in FOXL2 gene, Cys134Trp (c.402C < G); however, the general molecular effect of this mutation and its putative pathogenic role in aGCT tumorigenesis is not completely understood. We previously studied the role of FOXL2C134W, its partner SMAD3 and its antagonist FOXO1 in cellular models of aGCT. In this work, seeking more comprehensive profiling of FOXL2C134W transcriptomic effects, we performed an RNA-seq analysis comparing the effect of FOXL2WT/SMAD3 and FOXL2C134W/SMAD3 overexpression in an established human GC line (HGrC1), which is not luteinized, and bears normal alleles of FOXL2. Our data shows that FOXL2C134W/SMAD3 overexpression alters the expression of 717 genes. These genes include known and novel FOXL2 targets (TGFB2, SMARCA4, HSPG2, MKI67, NFKBIA) and are enriched for neoplastic pathways (Proteoglycans in Cancer, Chromatin remodeling, Apoptosis, Tissue Morphogenesis, Tyrosine Kinase Receptors). We additionally expressed the FOXL2 antagonistic Forkhead protein, FOXO1. Surprisingly, overexpression of FOXO1 mitigated 40% of the altered genome-wide effects specifically related to FOXL2C134W, suggesting it can be a new target for aGCT treatment. Our transcriptomic data provide novel insights into potential genes (FOXO1 regulated) that could be used as biomarkers of efficacy in aGCT patients.
Judicial Interactions and Human Rights Contestations in Latin America

The Inter-American Court of Human Rights is one of the world's most active human rights tribunals. Through an impressive history of case law, the Court has exerted significant influence upon Latin American states. In recent years, however, states and domestic national courts have challenged the Inter-American Court's authority in more complex and potentially more damaging ways than in the past. By exploring how the Inter-American Court of Human Rights has expanded its reach upon states, and how states engage in turn, the Article examines ways of interaction that can enhance or debilitate the Court's authority and influence on states. The Article explores recent dissents as a potential mode of resistance, especially when coupled with states' unease towards international adjudication and suggests ways in which the Court may respond to such challenges in order to protect and enhance its authority.
Feature estimation for efficient streaming

In this paper we propose a method to estimate the number of primitives that are extracted from an iso-surface extraction procedure. A decimated version of the data is used to estimate the number of triangles at the finest resolution through a combinatorial audit of the features (iso-contours) and their changes across resolutions. The estimates allow for the efficient implementation of visualization pipelines across a spectrum of hardware platforms. We demonstrate the efficacy of our methods through suitable experiments with The Visible Woman dataset.
What Is CEO Overconfidence? Evidence from Executive Assessments

Abstract We use detailed assessments of CEO personalities to explore the nature of CEO overconfidence as it is commonly measured. Longholder, the option-based measure of CEO overconfidence introduced by Malmendier and Tate (2005a) and widely used in the behavioral corporate finance and economics literatures, is significantly related to several specific characteristics that are associated with overconfident individuals as well as individuals with lower ability. Similar relations hold for overconfidence measures based on CEOs’ earnings guidance. Investment-cash flow sensitivities are larger for both Longholder and less able CEOs. After controlling for ability and other characteristics, Longholder CEOs’ investments remain significantly more sensitive to cash flows. These results suggest that overconfidence, as measured by Longholder, is correlated with lower ability but still reflects empirically distinct aspects of overconfidence.
Conical metrics on Riemann surfaces, II: spherical metrics

We continue our study, initiated in our earlier paper, of Riemann surfaces with constant curvature and isolated conic singularities. Using the machinery developed in that earlier paper of extended configuration families of simple divisors, we study the existence and deformation theory for spherical conic metrics with some or all of the cone angles greater than $2\pi$. Deformations are obstructed precisely when the number $2$ lies in the spectrum of the Friedrichs extension of the Laplacian. Our main result is that, in this case, it is possible to find a smooth local moduli space of solutions by allowing the cone points to split. This analytic fact reflects geometric constructions in papers by Mondello and Panov.
Accurate simulation of the finite density lattice Thirring model

We present a study of the finite density lattice Thirring model in 1+1 dimensions using the world-line/fermion-bag algorithm. The model has features similar to QCD and provides a test case for exploring the accuracy of various methods of solving sign problems. In the massless limit and with open boundary conditions we show that the sign problem is an artifact of the auxiliary field approach and is completely eliminated in the fermion bag approach. With periodic boundary conditions the sign problem is mild in the fermion bag method. We present accurate results for various quantities in the model that can be used as a benchmark for comparison with other methods of solving sign problems.
The Myth of Generic Pharmaceutical Competition Under the Hatch-Waxman Act

Without a doubt, health care costs are on the rise, and how to reduce those costs is of great concern to many. The Hatch-Waxman Act attempts to reduce pharmaceutical costs by encouraging market entry by lower-priced generic pharmaceuticals and without a doubt has been successful in doing so over the last three decades. The question is, at what price? Although designed to balance greater generic market entry with stronger incentives for brand-name pharmaceutical innovators to continue developing new drugs, the Act appears to have fall short of making those incentives nearly strong enough and, indeed, likely weakens them. Perhaps more importantly, however, a closer look at basic beliefs animating the Hatch-Waxman Act suggests that they are simply off the mark. The Act focuses far too much on competition and on removing barriers to market entry and as a result neglects the bigger context of the pharmaceutical market. The pharmaceutical market is not a competitive market for a variety of reasons, and one may doubt whether we should want it to be one. In any event, the Hatch-Waxman Act’s simple focus on generic regulatory burdens and pharmaceutical patents does little or nothing to foster any meaningful, long-term competition and has in the meantime likely weakened the ability of brand-name pharmaceutical innovators to continue to develop new pharmaceuticals. We may therefore wish to reconsider the wisdom of maintaining the Act in its current form, if at all.
`Depoliticizing¿ the National Labor Relations Board: Administrative Steps

Complaints about the political forces arrayed against the basic labor laws and about the increasing “politicization” of the National Labor Relations Board are hardy perennials. The charge remains a constant, only those who level it differ depending on which party is in the White House. On the assumption that legislative change is not in the offing, what can the Board on its own do to improve its reputation in Congress and in the courts and, at the same time, enhance its effectiveness as the essential government agency to protect workers in dealings with their employers? INTRODUCTION 1612 I. FURTHERING THE RELATIVE STABILITY OF BOARD LAW 1616 A. Rule of Four for All Policy Reversals 1616 B. Statement of Special Justification for Policy Reversals 1617 II. IMPROVING THE QUALITY OF BOARD DECISIONMAKING BY ENHANCING THE RANGE OF INFORMATION AVAILABLE TO THE AGENCY 1617 III. HUSBANDING THE POLITICAL CAPITAL OF THE AGENCY THROUGH PRUDENTIAL RULES OF DEFERRAL/ABSTENTION FOR DISPUTES INVOLVING ESTABLISHED COLLECTIVE BARGAINING RELATIONSHIP 1619 CONCLUSION 1620 ∗ Dwight D. Opperman Professor of Law & Director, Center for Labor and Employment Law, NYU School of Law. I appreciate the comments of several current members of the NLRB, as well of those of former chair Wilma Liebman and NLRB attorneys John Colwell and Joan Flynn. All persisting errors are my fault. Copyright© 2015 by Samuel Estreicher. All rights are reserved. ESTREICHER GALLEYS PROOFS2 5/22/2015 12:15 PM 1612 EMORY LAW JOURNAL [Vol. 64:1611
Bounds on Crossing Symmetry

Proposed in 1954 by Gell-Mann, Goldberger, and Thirring, crossing symmetry postulates that particles are indistinguishable from antiparticles traveling back in time. Its elusive proof amounts to demonstrating that scattering matrices in different crossing channels are boundary values of the same analytic function, as a consequence of physical axioms such as causality, locality, or unitarity. In this work we report on the progress in proving crossing symmetry on shell within the framework of perturbative quantum field theory. We derive bounds on internal masses above which scattering amplitudes are crossing symmetric to all loop orders. They are valid for four- and five-point processes, or to all multiplicity if one allows deformations of momenta into higher dimensions at intermediate steps.
Partial-State Feedback Multivariable MRAC and Reduced-Order Designs

Abstract This paper develops a new model reference adaptive control (MRAC) framework using partial-state feedback for solving a multivariable adaptive output tracking problem. The developed MRAC scheme has full capability to deal with plant uncertainties for output tracking and has desired flexibility to combine the advantages of full-state feedback MRAC and output feedback MRAC. With such a new control scheme, the plant-model matching condition is achievable as with an output or state feedback MRAC design. A stable adaptive control scheme is developed based on LDS decomposition of the plant high-frequency gain matrix , which guarantees closed-loop stability and asymptotic output tracking. The proposed partial-state feedback MRAC scheme not only expands the existing family of MRAC, but also provides new features to the adaptive control system, including additional design flexibility and feedback capacity. Based on its additional design flexibility, a minimal-order MRAC scheme is also presented, which reduces the control adaptation complexity and relaxes the feedback information requirement, compared to the existing MRAC schemes. New results are presented for plant-model matching, error model, adaptive law and stability analysis. A simulation study of a linearized aircraft model is conducted to demonstrate the effectiveness and new features of the proposed MRAC control scheme.
Impact of free trade agreements on Internet domain name arbitration cases: A cross‐national comparison of the Uniform Dispute Resolution Policy

This study examined whether the presence of a Free Trade Agreement between the United States and a foreign country significantly affected the outcomes of Internet domain name dispute arbitration cases, conducted within the framework of the Uniform Dispute Resolution Policy. Data were collected for approximately 2800 arbitration cases filed during the 2001-2019 period from ten countries, five with U.S. FTAs and five without. Therefore, this study sought to examine whether FTAs impact domain name arbitration cases. Logistic regression, with controls for additional variables, found that complainants are less likely to win in FTA countries. Separate analysis of high- and low-income countries found that the complainants’ win percentage is significantly reduced in the high-income countries while there was no impact in in low-income countries.
Psychedelic-inspired drug discovery using an engineered biosensor

Summary Ligands can induce G protein-coupled receptors (GPCRs) to adopt a myriad of conformations, many of which play critical roles in determining the activation of specific signaling cascades associated with distinct functional and behavioral consequences. For example, the 5-hydroxytryptamine 2A receptor (5-HT2AR) is the target of classic hallucinogens, atypical antipsychotics, and psychoplastogens. However, currently available methods are inadequate for directly assessing 5-HT2AR conformation both in vitro and in vivo. Here, we developed psychLight, a genetically encoded fluorescent sensor based on the 5-HT2AR structure. PsychLight detects behaviorally relevant serotonin release and correctly predicts the hallucinogenic behavioral effects of structurally similar 5-HT2AR ligands. We further used psychLight to identify a non-hallucinogenic psychedelic analog, which produced rapid-onset and long-lasting antidepressant-like effects after a single administration. The advent of psychLight will enable in vivo detection of serotonin dynamics, early identification of designer drugs of abuse, and the development of 5-HT2AR-dependent non-hallucinogenic therapeutics.
Visualizing Borrelia burgdorferi infection using a small molecule imaging probe

In vivo diagnostic imaging of bacterial infections is currently reliant on targeting their metabolic pathways, an ineffective method to identify microbial species with low metabolic activity. Here, we establish HS-198 as a small-molecule fluorescent conjugate that selectively targets the highly conserved bacterial protein HtpG (high-temperature protein G), within Borrelia burgdorferi, the bacterium responsible for Lyme disease. We describe the use of HS-198 to target morphologic forms of B. burgdorferi in both the logarithmic growth phase and the metabolically dormant stationary phase as well as in inactivated spirochetes. Furthermore, in a murine infection model, systemically injected HS-198 identified B. burgdorferi as revealed by imaging in postnecropsy tissue sections. These findings demonstrate how small-molecule probes directed at conserved bacterial protein targets can function to identify the microbe using noninvasive imaging and potentially as scaffolds to deliver antimicrobial agents to the pathogen.
Agricultural Market Integration in India

We assess the degree of cross-market price discrepancy (a proxy for market integration), its evolution over time, and proximate determinants, using monthly price data for 21 agricultural goods and 60 markets in India. Econometric analysis shows that cross-market price integration is positively associated with the level of transportation infrastructure, and distance between market pairs. There is no robust evidence that price integration has increased in recent years, suggesting that any positive effects of recent policy initiatives are either small, outweighed by the identified determinants of integration, or yet to come.
Recovering shape by purposive viewpoint adjustment

We present an approach for recovering surface shape from the occluding contour using an active (i.e., moving) observer. It is based on a relation between the geometries of a surface in a scene and its occluding contour: If the viewing direction of the observer is along a principal direction for a surface point whose projection is on the contour, surface shape (i.e., curvature) at the surface point can be recovered from the contour. Unlike previous approaches for recovering shape from the occluding contour, we use an observer thatpurposefully changes viewpoint in order to achieve a well-defined geometric relationship with respect to a 3-D shape prior to its recognition. We show that there is a simple and efficient viewing strategy that allows the observer to align the viewing direction with one of the two principal directions for a point on the surface. This strategy depends on only curvature measurements on the occluding contour and therefore demonstrates that recovering quantitative shape information from the contour does not require knowledge of the velocities or accelerations of the observer. Experimental results demonstrate that our method can be easily implemented and can provide reliable shape information from the occluding contour.
A Multi-Channel Temporal Attention Convolutional Neural Network Model for Environmental Sound Classification

Recently, many attention-based deep neural networks have emerged and achieved state-of-the-art performance in environmental sound classification. The essence of attention mechanism is assigning contribution weights on different parts of features, namely channels, spectral or spatial contents, and temporal frames. In this paper, we propose an effective convolutional neural network structure with a multichannel temporal attention (MCTA) block, which applies a temporal attention mechanism within each channel of the embedded features to extract channel-wise relevant temporal information. This multi-channel temporal attention structure will result in a distinct attention vector for each channel, which enables the network to fully exploit the relevant temporal information in different channels. The datasets used to test our model include ESC-50 and its subset ESC-10, along with development sets of DCASE 2018 and 2019. In our experiments, MCTA performed better than the single-channel temporal attention model and the non-attention model with the same number of parameters. Furthermore, we compared our model with some successful attention-based models and obtained competitive results with a relatively lighter network.
Algebraic maps constant on isomorphism classes of unpolarized abelian varieties are constant

We show that if a rational map is constant on each isomorphism class of unpolarized abelian varieties of a given dimension, then it is a constant map. Our results shed light on a question raised by Boneh et al. (J. Math. Cryptol. 14:1 (2020), 5–14) concerning a proposal for multiparty noninteractive key exchange.
Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes

The National Airspace System (NAS) is a complex and evolving system that enables safe and efficient aviation. Advanced air mobility concepts and new airspace entrants, such as unmanned aircraft, must integrate into the NAS without degrading overall safety or efficiency. For instance, regulations, standards, and systems are required to mitigate the risk of a midair collision between aircraft. Monte Carlo simulations have been a foundational capability for decades to develop, assess, and certify aircraft conflict avoidance systems. These are often validated through human-in-the-loop experiments and flight testing. For many aviation safety studies, manned aircraft behavior is represented using dynamic Bayesian networks. The original statistical models were developed from 2008-2013 to support safety simulations for altitudes above 500 feet Above Ground Level (AGL). However, these models were not sufficient to assess the safety of smaller UAS operations below 500 feet AGL. In response, newer models with altitude floors below 500 feet AGL have been in development since 2018. Many of the models assume that aircraft behavior is uncorrelated and not dependent on air traffic services or nearby aircraft. Our research objective was to compare the various uncorrelated models of conventional aircraft and identify how the models differ. Particularly if models of rotorcraft were sufficiently different than models of fixed-wing aircraft to require type specific models. The primary contribution is guidance on which uncorrelated models to leverage when evaluating the performance of a collision avoidance system designed for low altitude operations. We also address which models can be surrogates for noncooperative aircraft without transponders.
Helarchaeota and co-occurring sulfate-reducing bacteria in subseafloor sediments from the Costa Rica Margin

Deep sediments host many archaeal lineages, including the Asgard superphylum which contains lineages predicted to require syntrophic partnerships. Our knowledge about sedimentary archaeal diversity and their metabolic pathways and syntrophic partners is still very limited. We present here new genomes of Helarchaeota and the co-occurring sulfate-reducing bacteria (SRB) recovered from organic-rich sediments off Costa Rica Margin. Phylogenetic analyses revealed three new metagenome-assembled genomes (MAGs) affiliating with Helarchaeota, each of which has three variants of the methyl-CoM reductase-like (MCR-like) complex that may enable them to oxidize short-chain alkanes anaerobically. These Helarchaeota have no multi-heme cytochromes but have Group 3b and Group 3c [NiFe] hydrogenases, and formate dehydrogenase, and therefore have the capacity to transfer the reducing equivalents (in the forms of hydrogen and formate) generated from alkane oxidation to external partners. We also recovered five MAGs of SRB affiliated with the class of Desulfobacteria, two of which showed relative abundances (represented by genome coverages) positively correlated with those of the three Helarchaeota. Genome analysis suggested that these SRB bacteria have the capacity of H2 and formate utilization and could facilitate electron transfers from other organisms by means of these reduced substances. Their co-occurrence and metabolic features suggest that Helarchaeota may metabolize synergistically with some SRB, and together exert an important influence on the carbon cycle by mitigating the hydrocarbon emission from sediments to the overlying ocean.
A nonstandard proof of the spectral theorem for unbounded self-adjoint operators

Abstract We generalize Moore’s nonstandard proof of the Spectral theorem for bounded self-adjoint operators to the case of unbounded operators. The key step is to use a definition of the nonstandard hull of an internally bounded self-adjoint operator due to Raab.
Evaluating the Values of Sources in Transfer Learning

Transfer learning that adapts a model trained on data-rich sources to low-resource targets has been widely applied in natural language processing (NLP). However, when training a transfer model over multiple sources, not every source is equally useful for the target. To better transfer a model, it is essential to understand the values of the sources. In this paper, we develop , an efficient source valuation framework for quantifying the usefulness of the sources (e.g., ) in transfer learning based on the Shapley value method. Experiments and comprehensive analyses on both cross-domain and cross-lingual transfers demonstrate that our framework is not only effective in choosing useful transfer sources but also the source values match the intuitive source-target similarity.
Scattering from randomly oriented scatterers of arbitrary shape in the low-frequency limit with application to vegetation

A general theory of intensity scattering from small particles of arbitrary shape has been developed based on the radiative transfer theory. Upon permitting the particles to orient in accordance with any prescribed distribution, scattering models can be derived. By making an appropriate choice of the particle size, the scattering model may be used to estimate scattering from media such as snow, vegetation and sea ice. For the purpose of illustration only comparisons with measurements from a vegetated medium are shown. The difference in scattering between elliptic- and circular-shaped leaves is demonstrated. In the low-frequency limit, the major factors on backscattering from vegetation are found to be the depth of the vegetation layer and the orientation distribution of the leaves. The shape of the leaf is of secondary importance.
What Would a Teacher Do? Predicting Future Talk Moves

Recent advances in natural language processing (NLP) have the ability to transform how classroom learning takes place. Combined with the increasing integration of technology in today's classrooms, NLP systems leveraging question answering and dialog processing techniques can serve as private tutors or participants in classroom discussions to increase student engagement and learning. To progress towards this goal, we use the classroom discourse framework of academically productive talk (APT) to learn strategies that make for the best learning experience. In this paper, we introduce a new task, called future talk move prediction (FTMP): it consists of predicting the next talk move -- an utterance strategy from APT -- given a conversation history with its corresponding talk moves. We further introduce a neural network model for this task, which outperforms multiple baselines by a large margin. Finally, we compare our model's performance on FTMP to human performance and show several similarities between the two.
Spectral characterization of the Landsat-4 MSS sensors

Two multispectral scanner subsystems (MSS) have been fabricated and tested by an American aerospace company for the NASA Landsat program. One MSS, designated the protoflight (PF) model, was integrated into the Landsat-4 spacecraft, which was launched on July 16, 1982. The second, designated the flight (F) model, has been integrated into the Landsat-4 backup satellite, which is scheduled for possible launch in 1985. Each MSS has four bands in the reflective portion of the electromagnetic spectrum. The engineering test data which were collected included channel-by-channel spectral response curves. A description of the test procedure is included in Appendix A. This document is to make available to the Landsat user community data on the spectral characteristics of the two sensors. The Landsat-4 PF and F scanners were found to be essentially identical in mean spectral response.
Escape Rate and Conditional Escape Rate From a Probabilistic Point of View

We prove that for a sequence of nested sets $$\{U_n\}$$ with $$\Lambda = \cap _n U_n$$ a measure zero set, the localized escape rate converges to the extremal index of $$\Lambda $$ , provided that the dynamical system is $$\phi $$ -mixing at polynomial speed. We also establish the general equivalence between the local escape rate for entry times and the local escape rate for returns. Examples include a dichotomy for periodic and non-periodic points, Cantor sets on the interval, and submanifolds of Anosov diffeomorphisms on surfaces.
Effect of tip vanes on the performance and flow field of a rotor in hover

Tests run with a single bladed model rotor with a vane located at the tip of the blade indicated significantly increased performance under certain test conditions. Data reveal that a figure of merit increase of over one third occurred in hover. Flow visualization using smoke revealed that a pair of vortices sprung from the blade tip and the vane tip. The vane tip vortex tended to roll up and over the primary vortex. The vortices in the wake became much less well defined with the tip vane configurations.
Conduit: a C++ library for best-effort high performance computing

Developing software to effectively take advantage of growth in parallel and distributed processing capacity poses significant challenges. Traditional programming techniques allow a user to assume that execution, message passing, and memory are always kept synchronized. However, maintaining this consistency becomes increasingly costly at scale. One proposed strategy is "best-effort computing", which relaxes synchronization and hardware reliability requirements, accepting nondeterminism in exchange for efficiency. Although many programming languages and frameworks aim to facilitate software development for high performance applications, existing tools do not directly provide a prepackaged best-effort interface. The Conduit C++ Library aims to provide such an interface for convenient implementation of software that uses best-effort inter-thread and inter-process communication. Here, we describe the motivation, objectives, design, and implementation of the library. Benchmarks on a communication-intensive graph coloring problem and a compute-intensive digital evolution simulation show that Conduit's best-effort model can improve scaling efficiency and solution quality, particularly in a distributed, multi-node context.
On the Temperature of the Photosphere: Energy Partition in the Sun

In this note, energy partition within the Sun is briefly addressed. It is argued that the laws of thermal emission cannot be directly applied to the Sun, as the continuous solar spectrum (Tapp 6;000K) reveals but a small fraction of the true solar energy profile. Without considering the energy linked to fusion itself, it is hypothesized that most of the photospheric energy remains trapped in the Sun’s translational degrees of freedom and associated convection currents. The Sun is known to support both convective granules and di erential rotation on its surface. The emission of X-rays in association with eruptive flares and the elevated temperatures of the corona might provide some measure of these energies. At the same time, it is expected that a fraction of the solar energy remains tied to the filling of conduction bands by electrons especially within sunspots. This constitutes a degree of freedom whose importance cannot be easily assessed. The discussion highlights how little is truly understood about energy partition in the Sun.
The Remarkable Robustness of the Repeated Fisher Market

In many settings, resources are allocated among agents repeatedly over time without the use of monetary transfers: consider, for example, allocating server-time to company employees, rooms to students, or food among food banks. Here, the central challenge is to allocate resources efficiently despite the absence of payments. In this work we study a simple online variant of the standard Fisher market, where we endow all agents with a budget of artificial credits, and then repeatedly run simultaneous first-price auctions for each item in each period. Owing to their simplicity, such mechanisms have been gaining in popularity, with several recent successful implementations, most notably, by Feeding America for US food banks. Our goal in this paper is to understand the incentive and efficiency properties of these mechanisms. Our main contribution in this work is to show that such simple mechanisms enjoy strong performance guarantees under minimal rationality assumptions. Formally, we consider a dynamic allocation setting, where multiple items are available in each period, and each agent's preference is a fractionally subadditive (XOS) valuation function, drawn independently from some underlying distributions. Agents start with some initial endowment of credits, and in each round, participate in simultaneous first-price auctions for each item. We benchmark the performance this mechanism against widely-adopted solution concepts from the literature on bargaining. In particular, we show that irrespective of the strategies of other agents, each agent can obtain a $1/2-o(1)$ approximation of their \em ideal utility, i.e., the utility they derive from their favorite allocation subject to giving other agents their share (proportional to initial endowments) of the items. We do this by providing a lower-bound on the maximum value of each agent in the mechanism. Our results provide strong argument for a wider adoption of artificial currency mechanisms in several ways. First, our guarantees have frugal strategic and informational requirements - agents do not need to know the preferences or strategies of other participants in order to secure a half of their ideal utility. Second, the performance guarantees are independent of the cardinality of the type-space, and agnostic of the underlying type distributions. Finally, our results also yield operational insights into how the principal can choose the appropriate credit endowments in order to target a particular ideal utility profile.
Analyzing Power Quality Implications of High Level Charging Rates of Electric Vehicle Within Distribution Networks

This paper investigates the impact of the charging level of high penetration level of Electric Vehicles (EVs) on the power quality of the electricity distribution network. The EV owners tend to charge their EVs as fast as possible. The charging levels of EVs within the distribution network affect the voltage profile of buses of the network. In this paper, an exact Second-Order Cone Programming (SOCP) formulation of the full AC optimal power flow (ACOPF) problem of the distribution network is presented. The network includes solar generation units and EVs as Distributed Energy Resources (DERs). Different charging levels are considered to analyze the impact of EVs on the distribution network. The performance of the proposed model is illustrated for the modified IEEE-33 bus system for different charging levels for EVs. Besides, the impact of available solar power and battery degradation cost of EVs on the distribution network is investigated. It is illustrated that how EV charging will cause voltage deviation challenges for the distribution network.
Understanding physics: ‘What?’, ‘Why?’, and ‘How?’

I want to combine two hitherto largely independent research projects, scientific understanding and mechanistic explanations. Understanding is not only achieved by answering why-questions, that is, by providing scientific explanations, but also by answering what-questions, that is, by providing what I call scientific descriptions. Based on this distinction, I develop three forms of understanding: understanding-what, understanding-why, and understanding-how. I argue that understanding-how is a particularly deep form of understanding, because it is based on mechanistic explanations, which answer why something happens in virtue of what it is made of. I apply the three forms of understanding to two case studies: first, to the historical development of thermodynamics and, second, to the differences between the Clausius and the Boltzmann entropy in explaining thermodynamic processes.
Transmission Spectroscopy of the Earth–Sun System to Inform the Search for Extrasolar Life

Upcoming NASA astrophysics missions such as the James Webb Space Telescope will search for signs of life on planets transiting nearby stars. Doing so will require co-adding dozens of transmission spectra to build up sufficient signal to noise while simultaneously accounting for challenging systematic effects such as surface/weather variability, atmospheric refraction, and stellar activity. To determine the magnitude and impacts of both stellar and planet variability on measured transmission spectra, we must assess the feasibility of stacking multiple transmission spectra of exo-Earths around their host stars. Using our own solar system, we can determine if current methodologies are sufficient to detect signs of life in Earth's atmosphere and measure the abundance of habitability indicators, such as H2O and CO2, and biosignature pairs, such as O2 and CH4. We assess the impact on transmission spectra of Earth transiting across the Sun from solar and planetary variability and identify remaining unknowns for understanding exoplanet transmission spectra. We conclude that a satellite observing Earth transits across the Sun from beyond L2 is necessary to address these long-standing concerns about the reliability of co-adding planet spectra at UV, optical, and infrared wavelengths from multiple transits in the face of relatively large astrophysical systematics.