cssi/SciSciGPT-SciSciNet huggingface dataset:
Why Senator John McCain Cannot be President: Eleven Months and a Hundred Yards Short of Citizenship

Senator McCain was born in 1936 in the Canal Zone to U.S. citizen parents. The Canal Zone was territory controlled by the United States, but it was not incorporated into the Union. As requested by Senator McCain's campaign, distinguished constitutional lawyers Laurence Tribe and Theodore Olson examined the law and issued a detailed opinion offering two reasons that Senator McCain was a natural born citizen. Neither is sound under current law. The Tribe-Olson Opinion suggests that the Canal Zone, then under exclusive U.S. jurisdiction, may have been covered by the Fourteenth Amendment's grant of citizenship to "all persons born . . . in the United States." However, in the Insular Cases, the Supreme Court held that "unincorporated territories" were not part of the United States for constitutional purposes. Accordingly, many decisions hold that persons born in unincorporated territories are not Fourteenth Amendment citizens. The Tribe-Olson Opinion also suggests that Senator McCain obtained citizenship by statute. However, the only statute in effect in 1936 did not cover the Canal Zone. Recognizing the gap, in 1937, Congress passed a citizenship law applicable only to the Canal Zone, granting Senator McCain citizenship, but eleven months too late for him to be a citizen at birth. Because Senator John McCain was not a citizen at birth, he is not a "natural born Citizen" and thus is not "eligible to the Office of President" under the Constitution. This essay concludes by exploring how changes in constitutional law implied by the Tribe-Olson Opinion, such as limiting the Insular Cases and expanding judicial review of immigration and nationality laws passed by Congress, could make Senator McCain a citizen at birth and thus a natural born citizen.
Toward Global Corporate Citizenship: Reframing Foreign Direct Investment Law

This article argues that modern foreign direct investment law is a vestige of the colonial era during which early forms of transnational corporations emerged. Unlike international trade law and despite the dramatic developments of the twentieth century, foreign direct investment law remains largely unchanged. Due to a lack of political will, prior multilateral efforts to implement comprehensive foreign direct investment law reforms have been largely unsuccessful. However, in recent years, growing political will has emerged under the umbrella of Global Corporate Citizenship and related movements. This article posits that Global Corporate Citizenship is an opportunity to reframe and reform foreign direct investment law.
Accelerated reforms in healthcare financing: the need to scale up private sector participation in Nigeria.

The health sector, a foremost service sector in Nigeria, faces a number of challenges; primarily, the persistent under-funding of the health sector by the Nigerian government as evidence reveals low allocations to the health sector and poor health system performance which are reflected in key health indices of the country.Notwithstanding, there is evidence that the private sector could be a key player in delivering health services and impacting health outcomes, including those related to healthcare financing. This underscores the need to optimize the role of private sector in complementing the government’s commitment to financing healthcare delivery and strengthening the health system in Nigeria. There are also concerns about uneven quality and affordability of private-driven health systems, which necessitates reforms aimed at regulation. Accordingly, the argument is that the benefits of leveraging the private sector in complementing the national government in healthcare financing outweigh the challenges, particularly in light of lean public resources and finite donor supports. This article, therefore, highlights the potential for the Nigerian government to scale up healthcare financing by leveraging private resources, innovations and expertise, while working to achieve the universal health coverage.
A Review of Geospatial Content in IEEE Visualization Publications

Geospatial analysis is crucial for addressing many of the world’s most pressing challenges. Given this, there is immense value in improving and expanding the visualization techniques used to communicate geospatial data. In this work, we explore this important intersection – between geospatial analytics and visualization – by examining a set of recent IEEE VIS Conference papers (a selection from 2017-2019) to assess the inclusion of geospatial data and geospatial analyses within these papers. After removing the papers with no geospatial data, we organize the remaining literature into geospatial data domain categories and provide insight into how these categories relate to VIS Conference paper types. We also contextualize our results by investigating the use of geospatial terms in IEEE Visualization publications over the last 30 years. Our work provides an understanding of the quantity and role of geospatial subject matter in recent IEEE VIS publications and supplies a foundation for future meta-analytical work around geospatial analytics and geovisualization that may shed light on opportunities for innovation.
Entanglement negativity spectrum of random mixed states: A diagrammatic approach

A valuable tool for investigating entanglement structures in random mixed states is developed and applied to a wide range of quantum many-body problems.
From acoustic to linguistic analysis of temporal speech structure: Acousto-linguistic transformation during speech perception using speech quilts.

Abstract Speech perception entails the mapping of the acoustic waveform to linguistic representations. For this transformation to succeed, the speech signal needs to be tracked over various temporal windows at high temporal precision in order to decode linguistic units ranging from phonemes (tens of milliseconds) to sentences (seconds). Here, we tested the hypothesis that cortical processing of speech-specific temporal structure is modulated by higher-level linguistic analysis. Using fMRI, we measured BOLD signal changes to 4 s long speech quilts with variable temporal structure (30, 120, 480, 960 ms segment lengths), as well as natural speech, created from a familiar (English) or foreign (Korean) language. We found evidence for the acoustic analysis of temporal speech properties in superior temporal sulcus (STS): the BOLD signal increased as a function of temporal speech structure in both familiar and foreign languages. However, activity in left inferior gyrus (IFG) revealed evidence for linguistic processing of temporal speech properties: the BOLD signal increased as a function of temporal speech structure only in familiar, but not in foreign speech. Network connectivity analyses suggested that left IFG modulates the processing of temporal speech structure in primary and non-primary auditory cortex, which in turn sensitizes the analysis of temporal speech structure in STS. The results thus suggest that acousto-linguistic transformation of temporal speech structure is achieved by a cortical network comprising primary and non-primary auditory cortex, STS, and left IFG.
Free riding in the monastery: Club goods, the cistercian order and agricultural investment in Ancien Regime France

Abstract How can transaction costs prevent effective monitoring of members in an organization? In this paper I test for a relationship between the cost of monitoring and free riding behavior within a religious organization by using a historical case study: the Cistercian Order in Ancien Regime France. Individuals were required to follow strict behavioral guidelines in order to maintain membership in the monastic order. Two monitoring devices emerged to identify free-riders: (1) an annual visit by the head of a ’supervising’ monastery and (2) attendance at an annual General Chapter meeting. Using digitized maps of transportation networks in eighteenth century France, I estimate travel costs as a proxy for monitoring costs. As a proxy for free-riding behavior in a monastic order, I use the value of agricultural investment since monks were discouraged from engaging in market-orientated behavior such as investment. After matching each property with its owner’s costs, I find that where monitoring costs are higher, monasteries engage in more free riding behavior. The results hold after controlling for characteristics of the monasteries, potential issues of sample selection and bias from major houses.
EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning

5G and edge computing will serve various emerging use cases that have diverse requirements of multiple resources, e.g., radio, transportation, and computing. Network slicing is a promising technology for creating virtual networks that can be customized according to the requirements of different use cases. Provisioning network slices requires end-to-end resource orchestration which is challenging. In this paper, we design a decentralized resource orchestration system named EdgeSlice for dynamic end-to-end network slicing. EdgeSlice introduces a new decentralized deep reinforcement learning (D-DRL) method to efficiently orchestrate end-to-end resources. D-DRL is composed of a performance coordinator and multiple orchestration agents. The performance coordinator manages the resource orchestration policies in all the orchestration agents to ensure the service level agreement (SLA) of network slices. The orchestration agent learns the resource demands of network slices and orchestrates the resource allocation accordingly to optimize the performance of the slices under the constrained networking and computing resources. We design radio, transport and computing manager to enable dynamic configuration of end-to-end resources at runtime. We implement EdgeSlice on a prototype of the end-to-end wireless edge computing network with OpenAirInterface LTE network, OpenDayLight SDN switches, and CUDA GPU platform. The performance of EdgeSlice is evaluated through both experiments and trace-driven simulations. The evaluation results show that EdgeSlice achieves much improvement as compared to baseline in terms of performance, scalability, compatibility.
Internal Deadlines, Drug Approvals, and Safety Problems

Absent explicit quotas, incentives, reporting, or fiscal year-end motives, drug approvals around the world surge in December, at month-ends, and before respective major national holidays. Drugs approved before these informal deadlines are associated with significantly more adverse effects, including more hospitalizations, life-threatening incidents, and deaths – particularly, drugs most rushed through the approval process. These patterns are consistent with a model in which regulators rush to meet internal production benchmarks associated with salient calendar periods: this “desk-clearing” behavior results in more lax review, leading both to increased output and increased safety issues at particular—and predictable—periodicities over the year.
Long-term individual and population functional outcomes in older adults with atrial fibrillation

Background Older adults with atrial fibrillation (AF) have multiple risk factors for disablement. Long-term function and the contribution of strokes to disability have not been previously characterized. Our objective was to determine long-term function among older adults with AF and the relative contribution of stroke. Methods We used data from the nationally representative Health and Retirement Study (1992-2014) with participants ≥65 years with incident AF. We examined the association of incident stroke with three outcomes: independence with activities of daily living (ADL), instrumental activities of daily living (IADL), and residence outside a nursing home (community-dwelling). We fit logistic regression models with repeated measures adjusting for comorbidities and demographics to estimate the effect of stroke on function. We estimated the contribution of strokes to the overall population burden of disability using the method of recycled predictions. Results Among 3530 participants (median age 79 years, 53% women), 262 had a stroke over 17,396 person-years. Independent of stroke and accounting for comorbidities, annually, ADL independence decreased by 4.4%, IADL independence decreased by 3.9%, and community dwelling decreased by 1.2% (p Conclusion Older adults lose substantial function over time following AF diagnosis, independent of stroke. Stroke was associated with a significant functional decline and increase in the likelihood of nursing home move, but stroke did not accelerate subsequent disability accrual. Because of the high background rate of disability, stroke was not the dominant determinant of population-level disability in older adults with AF.
An adaptive multigrid solver for DPG methods with applications in linear acoustics and electromagnetics

Abstract We propose an adaptive multigrid preconditioning technology for solving linear systems arising from Discontinuous Petrov–Galerkin (DPG) discretizations. Unlike standard multigrid techniques, this preconditioner involves only trace spaces defined on the mesh skeleton, and it is suitable for adaptive hp-meshes. The key point of the construction is the integration of the iterative solver with a fully automatic and reliable mesh refinement process provided by the DPG technology. The efficacy of the solution technique is showcased with numerous examples of linear acoustics and electromagnetic simulations, including simulations in the high-frequency regime, problems which otherwise would be intractable. Finally, we analyze the one-level preconditioner (smoother) for uniform meshes and we demonstrate that theoretical estimates of the condition number of the preconditioned linear system can be derived based on well established theory for self-adjoint positive definite operators.
Massive Intron Gain in the Most Intron-Rich Eukaryotes is Driven by Introner-Like Transposable Elements of Unprecedented Diversity and Flexibility

SummarySpliceosomal introns, which interrupt nuclear genes and are removed from RNA transcripts by machinery termed spliceosomes, are ubiquitous features of eukaryotic nuclear genes. Patterns of spliceosomal intron evolution are complex, with some lineages exhibiting virtually no intron creation while others experience thousands of intron gains. One possibility is that this punctate phylogenetic distribution is explained by intron creation by Introner-Like Elements (ILEs), transposable elements capable of creating introns, with only those lineages harboring ILEs undergoing massive intron gain. However, ILEs have been reported in only four lineages. Here we study intron evolution in dinoflagellates. The remarkable fragmentation of nuclear genes by spliceosomal introns reaches its apex in dinoflagellates, which have some twenty introns per gene. Despite this, almost nothing is known about the molecular and evolutionary mechanisms governing dinoflagellate intron evolution. We reconstructed intron evolution in five dinoflagellate genomes, revealing a dynamic history of intron loss and gain. ILEs are found in 4/5 studied species. In one species, Polarella glacialis, we find an unprecedented diversity of ILEs, with ILE insertion leading to creation of some 12,253 introns, and with 15 separate families of ILEs accounting for at least 100 introns each. These ILE families range in mobilization mechanism, mechanism of intron creation, and flexibility of mechanism of intron creation. Comparison within and between ILE families provides evidence that biases in so-called intron phase, the distribution of introns relative to codon periodicity, are driven by ILE insertion site requirements. Finally, we find evidence for multiple additional transformations of the spliceosomal system in dinoflagellates, including widespread loss of ancestral introns, and alterations in required, tolerated and favored splice motifs. These results reveal unappreciated intron creating elements diversity and spliceosomal evolutionary capacity, and suggest complex evolutionary dependencies shaping genome structures.
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis

The likelihood ratio test is widely used in exploratory factor analysis to assess the model fit and determine the number of latent factors. Despite its popularity and clear statistical rationale, researchers have found that when the dimension of the response data is large compared to the sample size, the classical Chi-square approximation of the likelihood ratio test statistic often fails. Theoretically, it has been an open problem when such a phenomenon happens as the dimension of data increases; practically, the effect of high dimensionality is less examined in exploratory factor analysis, and there lacks a clear statistical guideline on the validity of the conventional Chi-square approximation. To address this problem, we investigate the failure of the Chi-square approximation of the likelihood ratio test in high-dimensional exploratory factor analysis and derive the necessary and sufficient condition to ensure the validity of the Chi-square approximation. The results yield simple quantitative guidelines to check in practice and would also provide useful statistical insights into the practice of exploratory factor analysis.
Geometric structures and the Laplace spectrum, Part II

We continue our exploration of the extent to which the spectrum encodes the local geometry of a locally homogeneous three-manifold and find that if $(M,g)$ and $(N,h)$ are a pair of locally homogeneous, locally non-isometric isospectral three-manifolds, where $M$ is an elliptic three-manifold, then $(1)$ $N$ is also an elliptic three-manifold, $(2)$ $M$ and $N$ have fundamental groups of different orders, $(3)$ $(M,g)$ and $(N,h)$ both have non-degenerate Ricci tensors and $(4)$ the metrics $g$ and $h$ are sufficiently far from a metric of constant sectional curvature. We are unaware of any such isospectral pair and such a pair could not arise via the classical Sunada method. As part of the proof, we provide an explicit description of the isometry group of a compact simple Lie group equipped with a left-invariant metric---improving upon the results of Ochiai-Takahashi and Onishchik---which we use to classify the locally homogeneous metrics on an elliptic three-manifold $\Gamma \backslash S^3$ and we determine that any collection of isospectral locally homogeneous metrics on an elliptic three-manifold consists of at most two isometry classes that are necessarily locally isometric. In particular, the left-invariant metrics on $\operatorname{SO}(3)$ (respectively, $S^3$) can be mutually distinguished via their spectra. The previous statement has the following interpretation in terms of physical chemistry: the moments of inertia of a molecule can be recovered from its rotational spectrum.
Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19

Objective: To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic. Method: The conceptual model and framework categorize informatics solutions that could be used by stakeholders (e.g., government, academic institutions, healthcare providers and payers, life science companies, employers, citizens) to address public health challenges across the prepare, respond, and recover phases of a pandemic, building on existing models for public health operations and response. Results: Mapping existing solutions, technology assets, and ideas to the framework helped identify public health informatics solution requirements and gaps in responding to COVID-19 in areas such as applied science, epidemiology, communications, and business continuity. Two examples of technologies used in COVID-19 illustrate novel applications of informatics encompassed by the framework. First, we examine a hub from The Weather Channel, which provides COVID-19 data via interactive maps, trend graphs, and details on case data to individuals and businesses. Second, we examine IBM Watson Assistant for Citizens, an AI-powered virtual agent implemented by healthcare providers and payers, government agencies, and employers to provide information about COVID-19 via digital and telephone-based interaction. Discussion: Early results from these novel informatics solutions have been positive, showing high levels of engagement and added value across stakeholders. Conclusion: The framework supports development, application, and evaluation of informatics approaches and technologies in support of public health preparedness, response, and recovery during a pandemic. Effective solutions are critical to success in recovery from COVID-19 and future pandemics.
Quantum dynamics of the classical harmonic oscillator

A correspondence is established between measure-preserving, ergodic dynamics of a classical harmonic oscillator and a quantum mechanical gauge theory on two-dimensional Minkowski space. This correspondence is realized through an isometric embedding of the L2(μ) space on the circle associated with the oscillator’s invariant measure, μ, into a Hilbert space H of sections of a C-line bundle over Minkowski space. This bundle is equipped with a covariant derivative induced from an SO+(1, 1) gauge field on the corresponding inertial frame bundle, satisfying the Yang–Mills equations. Under this embedding, the Hamiltonian operator of a Lorentz-invariant quantum system, constructed as a geometrical Laplace-type operator on bundle sections, pulls back to the generator of the unitary group of Koopman operators governing the evolution of classical observables of the harmonic oscillator, with Koopman eigenfunctions of zero, positive, and negative eigenfrequencies corresponding to quantum eigenstates of zero (“vacuum”), positive (“matter”), and negative (“antimatter”) energies. The embedding also induces a pair of operators acting on classical observables of the harmonic oscillator, exhibiting canonical position–momentum commutation relationships. These operators have the structure of order-1/2 fractional derivatives and therefore display a form of non-locality. In a second part of this work, we study a quantum mechanical representation of the classical harmonic oscillator using a one-parameter family of reproducing kernel Hilbert spaces, K^τ, associated with the time-τ transition kernel of a fractional diffusion on the circle. As shown in recent work, these spaces are unital Banach *-algebras of functions. It is found that the evolution of classical observables in these spaces takes place via a strongly continuous, unitary Koopman evolution group, which exhibits a stronger form of classical–quantum consistency than the L2(μ) case. Specifically, for every real-valued classical observable in K^τ, there exists a quantum mechanical observable, whose expectation value is consistent with classical function evaluation. This allows for a description of classical state space dynamics, classical statistics, and quantum statistics of the harmonic oscillator within a unified framework.
Optimal Transport Based Seismic Inversion:Beyond Cycle Skipping

Full-waveform inversion (FWI) is today a standard process for the inverse problem of seismic imaging. PDE-constrained optimization is used to determine unknown parameters in a wave equation that represent geophysical properties. The objective function measures the misfit between the observed data and the calculated synthetic data, and it has traditionally been the least-squares norm. In a sequence of papers, we introduced the Wasserstein metric from optimal transport as an alternative misfit function for mitigating the so-called cycle skipping, which is the trapping of the optimization process in local minima. In this paper, we first give a sharper theorem regarding the convexity of the Wasserstein metric as the objective function. We then focus on two new issues. One is the necessary normalization of turning seismic signals into probability measures such that the theory of optimal transport applies. The other, which is beyond cycle skipping, is the inversion for parameters below reflecting interfaces. For the first, we propose a class of normalizations and prove several favorable properties for this class. For the latter, we demonstrate that FWI using optimal transport can recover geophysical properties from domains where no seismic waves travel through. We finally illustrate these properties by the realistic application of imaging salt inclusions, which has been a significant challenge in exploration geophysics.
Recruitment of MRE-11 to complex DNA damage is modulated by meiosis-specific chromosome organization

Abstract DNA double-strand breaks (DSBs) are one of the most dangerous assaults on the genome, and yet their natural and programmed production are inherent to life. When DSBs arise close together they are particularly deleterious, and their repair may require an altered form of the DNA damage response. Our understanding of how clustered DSBs are repaired in the germline is unknown. Using laser microirradiation, we examine early events in the repair of clustered DSBs in germ cells within Caenorhabditis elegans. We use precise temporal resolution to show how the recruitment of MRE-11 to complex damage is regulated, and that clustered DNA damage can recruit proteins from various repair pathways. Abrogation of non-homologous end joining or COM-1 attenuates the recruitment of MRE-11 through distinct mechanisms. The synaptonemal complex plays both positive and negative regulatory roles in these mutant contexts. These findings indicate that MRE-11 is regulated by modifying its accessibility to chromosomes.
Larger polities are more regulated

Mulligan and Shleifer (2005) put forward a theory of regulation in which a fixed cost of regulating leads larger polities to regulate more. This follows a prediction made in Demsetz (1967) that because institutions have fixed costs associated with their establishment, introducing an institution only becomes efficient once the scale of the activity it supports is significant enough to cover the costs of creating it. Beyond these studies and a few follow-ups, very few have advanced scholars’ understanding of the relationship between regulation and population. This working paper is intended to help fill this gap in the literature. We aim to test whether this population-regulation connection holds using more recent, more refined, and more comprehensive measures of regulation. Using a variety of novel data sources from the RegData project, we show that population levels and the amount of regulation are highly correlated across countries and time, and that more populated US states, Australian states, and Canadian provinces tend to be more heavily regulated than less-populated states and provinces. A doubling of population size is associated with a 22 to 33 percent increase in regulation. This provides support for the theory that the fixed costs associated with regulating partly determine where and when regulations occur.
Simultaneous identification of linear building dynamic model and disturbance using sparsity-promoting optimization

Abstract We propose a method that simultaneously identifies a control-oriented model of a building’s temperature dynamics and a transformed version of the unmeasured disturbance affecting the building. Our method uses l 1 -regularization to encourage the identified disturbance to be approximately sparse, which is motivated by the slowly-varying nature of occupancy that determines the disturbance. The proposed method involves solving a feasible convex optimization problem that guarantees that the identified black-box model, a linear time-invariant system, possesses known properties of the plant, especially input–output stability and positive DC gains. These features enable one to use the method as part of a self-learning control system in which the model of the building is updated periodically without requiring human intervention. Results from the application of the method on data from a simulated and real building are provided.
Computerization, Obsolescence, and the Length of Working Life

Abstract This paper analyzes how computerization affected the labor market outcomes of older workers between 1984 and 2017. Using the computerization supplements of the Current Population Survey (CPS) we show that different occupations were computerized at different times, older workers tended to start using computers with a delay compared to younger workers, but computer use within occupations converged to the same levels across age groups eventually. That is, there was a temporary knowledge gap between younger and older workers in most occupations. Using this variation, we estimate how this knowledge gap affected older workers’ labor market outcomes using millions of observations from the CPS, and additional data from the Health and Retirement Study. Our models control for occupation and time fixed effects and in some models, we also control for full occupation-time interactions and use middle aged (age 40-49) workers as the control group. We find strong and robust negative effects of the knowledge gap on wages, and a large, temporary increase in transitions from work to non-participation. These results are consistent with a model of creative destruction in which the computerization of jobs made older workers’ skills obsolete in birth cohorts that experienced computerization relatively late in their careers. We find larger effects on females and on middle-skilled workers.
Local Protectionism, Market Structure, and Social Welfare: China's Automobile Market

While China has made great strides in transforming its centrally-planned economy to a market-oriented economy, there still exist widespread interregional trade barriers, such as policies and practices that protect local firms against competition from non-local firms. This study documents the presence of local protectionism and quantifies its impacts on market competition and social welfare in the context of China’s automobile market. This market exhibits a salient feature that vehicle models by joint ventures (JVs) and especially state-owned enterprises (SOEs) command much higher market shares in their headquarter province than at the national level. Through spatial discontinuity analysis at provincial borders, falsification tests, and consumer surveys, we first confirm protective policies such as subsidies to local brands as the primary contributing factor. We then set up and estimate a market equilibrium model to quantify the impact of local protection, controlling for other demand and supply factors. Counterfactual simulations show that local protection leads to significant choice distortions, resulting in 18.7 billion yuan of consumer welfare loss, amounting to 40% of total subsidy. Provincial governments face a prisoner’s dilemma: according to our estimates, local protection reduces aggregate social welfare, but the provincial governments have no incentive to unilaterally remove local protection.
Reflections on Fifteen Years of the Teague v. Lane Retroactivity Paradigm: A Study of the Persistence, the Pervasiveness, and the Perversity of the Court's Doctrine

Reflections on Fifteen Years of the Teague v. Lane Retroactivity Paradigm: A Study of the Persistence, the Pervasiveness, and the Perversity of the Court's Doctrine considers the retroactive application of criminal procedure decisional law to state prisoners seeking federal habeas review. The scope of constitutional criminal protections presents important legal, political, and practical questions and concerns, and this article examines the evolution of this important judicial doctrine to its current form. In considering this evolution, the article explores the history and case law that led up to the emergence of the modern retroactivity doctrine that the Court created in Teague v. Lane, 489 U.S. 288 (1989). The article then grapples with the exceptionally broad scope of the Court's current definition of 'new rules,' the exceptionally narrow exceptions to the Teague doctrine, and the powerful and pervasive effect that the Teague retroactivity doctrine has on constitutional criminal procedure and federal habeas corpus review.
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift

We study generalization under labeled shift for categorical and general normed label spaces. We propose a series of methods to estimate the importance weights from labeled source to unlabeled target domain and provide confidence bounds for these estimators. We deploy these estimators and provide generalization bounds in the unlabeled target domain.
A Stable High-Order Tuner for General Convex Functions

Iterative gradient-based algorithms have been increasingly applied for the training of a broad variety of machine learning models including large neural-nets. In particular, momentum-based methods, with accelerated learning guarantees, have received a lot of attention due to their provable guarantees of fast learning in certain classes of problems and multiple algorithms have been derived. However, properties for these methods hold only for constant regressors. When time-varying regressors occur, which is commonplace in dynamic systems, many of these momentum-based methods cannot guarantee stability. Recently, a new High-order Tuner (HT) was developed for linear regression problems and shown to have 1) stability and asymptotic convergence for time-varying regressors and 2) non-asymptotic accelerated learning guarantees for constant regressors. In this letter, we extend and discuss the results of this same HT for general convex loss functions. Through the exploitation of convexity and smoothness definitions, we establish similar stability and asymptotic convergence guarantees. Finally, we provide numerical simulations supporting the satisfactory behavior of the HT algorithm as well as an accelerated learning property.
Zeta correction: a new approach to constructing corrected trapezoidal quadrature rules for singular integral operators

A high-order accurate quadrature rule for the discretization of boundary integral equations (BIEs) on closed smooth contours in the plane is introduced. This quadrature can be viewed as a hybrid of the spectral quadrature of Kress (Math. Comput. Model. 15(3-5), 229–243 1991) and the locally corrected trapezoidal quadrature of Kapur and Rokhlin (SIAM J. Numer. Anal. 34(4), 1331–1356, 1997). The new technique combines the strengths of both methods, and attains high-order convergence, numerical stability, ease of implementation, and compatibility with the “fast” algorithms (such as the Fast Multipole Method or Fast Direct Solvers). Important connections between the punctured trapezoidal rule and the Riemann zeta function are introduced, which enable a complete convergence analysis and lead to remarkably simple procedures for constructing the quadrature corrections. The paper reports a detailed comparison between the new method and the methods of Kress, of Kapur and Rokhlin, and of Alpert (SIAM J. Sci. Comput. 20(5), 1551–1584, 1999).
Measurement of Antenna Bore-Sight Gain

The absolute or free-field gain of a simple antenna can be approximated using standard antenna theory formulae or for a more accurate prediction, numerical methods may be employed to solve for antenna parameters including gain. Both of these methods will result in relatively reasonable estimates but in practice antenna gain is usually verified and documented via measurements and calibration. In this paper, a relatively simple and low-cost, yet effective means of determining the bore-sight free-field gain of a VHF/UHF antenna is proposed by using the Brewster angle relationship.
Safe Reinforcement Learning Using Advantage-Based Intervention

Many sequential decision problems involve finding a policy that maximizes total reward while obeying safety constraints. Although much recent research has focused on the development of safe reinforcement learning (RL) algorithms that produce a safe policy after training, ensuring safety during training as well remains an open problem. A fundamental challenge is performing exploration while still satisfying constraints in an unknown Markov decision process (MDP). In this work, we address this problem for the chance-constrained setting. We propose a new algorithm, SAILR, that uses an intervention mechanism based on advantage functions to keep the agent safe throughout training and optimizes the agent's policy using off-the-shelf RL algorithms designed for unconstrained MDPs. Our method comes with strong guarantees on safety during both training and deployment (i.e., after training and without the intervention mechanism) and policy performance compared to the optimal safety-constrained policy. In our experiments, we show that SAILR violates constraints far less during training than standard safe RL and constrained MDP approaches and converges to a well-performing policy that can be deployed safely without intervention. Our code is available at this https URL.
68Ga-labeled multimeric RGD peptides for microPET imaging of integrin αvβ3 expression

374 Objectives: We and others have reported that 18F and 64Cu labeled RGD peptides can allow positron emission tomography (PET) quantification of integrin αvβ3 expression in vivo. However, clinical translation of these radiotracers may be limited due to the cyclotron facility required to produce PET isotopes. Generator-based PET isotope 68Ga deserves special attention because of its independence of an onsite cyclotron. This study investigated the feasibility of 68Ga labeled RGD peptides for tumor imaging. Methods: RGD peptides: c(RGDyK) (RGD1), E[c(RGDyK)]2 (RGD2), and E{E[c(RGDyK)]2}2 (RGD4), were conjugated with NOTA and labeled with 68Ga. Integrin affinity and specificity of the peptide conjugates were assessed by cell based receptor binding assay and the tumor targeting efficacy of 68Ga-labeled RGD peptides was evaluated in a subcutaneous U87MG glioblastoma xenograft model. Results: U87MG cell based receptor binding assay showed that integrin affinity followed the order of NOTA-RGD4 > NOTA-RGD2 > NOTA-RGD1. All three NOTA conjugates allowed nearly quantitative 68Ga-labeling within 10 min (12-17 MBq/nmol). Quantitative microPET imaging studies showed that 68Ga-NOTA-RGD4 had the highest tumor uptake but also prominent activity accumulation in the kidneys. 68Ga-NOTA-RGD2 had higher tumor uptake and similar pharmacokinetics (4.4 ± 0.4 tumor/muscle ratio, 2.0 ± 0.1 tumor/liver ratio, and 1.1 ± 0.1 tumor/kidney ratio) compared with 68Ga-NOTA-RGD1. Conclusions: The dimeric RGD peptide tracer 68Ga-NOTA-RGD2 with good tumor uptake and favorable pharmacokinetics warrants further investigation for potential clinical translation to image integrin αvβ3. Research Support: National Cancer Institute (R01 CA119053, R21 CA121842, R21 CA102123, P50 CA114747, U54 CA119367, R24 CA93862), Department of Defense (W81XWH-07-1-0374, W81XWH-04-1-0697, W81XWH-06-1-0665, W81XWH-06-1-0042, DAMD17-03-1-0143).
SARS-CoV-2 Seropositivity and Seroconversion in Patients Undergoing Active Cancer-Directed Therapy.

PURPOSE:Multiple studies have demonstrated the negative impact of cancer care delays during the COVID-19 pandemic, and transmission mitigation techniques are imperative for continued cancer care de...
Longitudinal modes of bunched beams with weak space charge

Longitudinal collective modes of a bunched beam with a repulsive inductive impedance (the space charge below transition or the chamber inductance above it) are analytically described by means of reduction of the linearized Vlasov equation to a parameterless integral equation. For any multipolarity, the discrete part of the spectrum is found to consist of infinite number of modes with real tunes, which limit point is the incoherent zero-amplitude frequency. In other words, notwithstanding the rf bucket nonlinearity and potential well distortion, the Landau damping is lost. Hence, even a tiny coupled-bunch interaction makes the beam unstable; such growth rates for all the modes are analytically obtained for arbitrary multipolarity. In practice, however, the finite threshold of this loss of Landau damping is set either by the high-frequency impedance roll-off or intrabeam scattering. Above the threshold, growth of the leading collective mode should result in persistent nonlinear oscillations.
Performance of titanium optics on a NASA 30 cm ion thruster

The results of performance tests with two titanium optics sets are presented and compared to those of molybdenum optics. All tests were conducted on a 30 cm ion thruster that was nearly identical to the NASA Solar Electric Propulsion Technology Application Readiness (NSTAR) thruster design. Optics performance tests were conducted over a thruster input power range of 0.5 to 4.6 kW. Optics performance including impingement-limited total voltages, electron backstreaming limits, screen grid ion transparencies, near-field beam current density profiles, beam divergence angles, and beam divergence thrust correction factors were determined throughout this power range. The impingement-limited total voltages for titanium optics were within 10 to 55 V of those for molybdenum optics. Electron backstreaming limit magnitude as a function of peak beam current density for both molybdenum and titanium optics were within a few volts of each other, indicating similar hot grid gaps for these two grid materials during steady-state operation. Beam divergence half-angles at 90 percent of the total beam current and thrust correction factors for both titanium optics sets were within one degree and one percent, respectively, of those for molybdenum optics. When thruster power was increased to 2.3 kW immediately following discharge ignition, the titanium screen grid came into contact with the accelerator grid within five minutes of ignition. Relative to molybdenum, titanium's larger thermal expansion and smaller thermal conductivity likely caused the screen grid to thermally expand more relative to the accelerator grid during startup.
An Immersed Boundary Method for Solving the Compressible Navier-Stokes Equations with Fluid-Structure Interaction

An immersed boundary method for the compressible Navier-Stokes equation and the additional infrastructure that is needed to solve moving boundary problems and fully coupled fluid-structure interaction is described. All the methods described in this paper were implemented in NASA's LAVA solver framework. The underlying immersed boundary method is based on the locally stabilized immersed boundary method that was previously introduced by the authors. In the present paper this method is extended to account for all aspects that are involved for fluid structure interaction simulations, such as fast geometry queries and stencil computations, the treatment of freshly cleared cells, and the coupling of the computational fluid dynamics solver with a linear structural finite element method. The current approach is validated for moving boundary problems with prescribed body motion and fully coupled fluid structure interaction problems in 2D and 3D. As part of the validation procedure, results from the second AIAA aeroelastic prediction workshop are also presented. The current paper is regarded as a proof of concept study, while more advanced methods for fluid structure interaction are currently being investigated, such as geometric and material nonlinearities, and advanced coupling approaches.
Analysis of aerothermal loads on spherical dome protuberances

Hypersonic flow over spherical dome protuberances was investigated to determine increased pressure and heating loads to the surface. The configuration was mathematically modeled in a time-dependent three-dimensional analysis of the conservation of mass, momentum (Navier-Stokes), and energy equations. A boundary mapping technique was used to obtain a rectangular parallelepiped computational domain, a MacCormack explicit time-split predictor-corrector finite difference algorithm was used to obtain solutions. Results show local pressures and heating rates for domes one-half, one, and two boundary layer thicknesses high were increased by factors on the order of 1.4, 2, and 6, respectively. Flow over the lower dome was everywhere attached while flow over the intermediate dome had small windward and leeside separations. The higher dome had an unsteady windward separation region and a large leeside separation region. Trailing vortices form on all domes with intensity increasing with dome height. Discussion of applying the results to a thermally bowed thermal protection system are presented.
Computational characteristics of interictal EEG as objective markers of epileptic spasms.

OBJECTIVE Favorable neurodevelopmental outcomes in epileptic spasms (ES) are tied to early diagnosis and prompt treatment, but uncertainty in the identification of the disease can delay this process. Therefore, we investigated five categories of computational electroencephalographic (EEG) measures as markers of ES. METHODS We measured 1) amplitude, 2) power spectra, 3) Shannon entropy and permutation entropy, 4) long-range temporal correlations, via detrended fluctuation analysis (DFA) and 5) functional connectivity using cross-correlation and phase lag index (PLI). EEG data were analyzed from ES patients (n = 40 patients) and healthy controls (n = 20 subjects), with multiple blinded measurements during wakefulness and sleep for each patient. RESULTS In ES patients, EEG amplitude was significantly higher in all electrodes when compared to controls. Shannon and permutation entropy were lower in ES patients than control subjects. The DFA intercept values in ES patients were significantly higher than control subjects, while DFA exponent values were not significantly different between the groups. EEG functional connectivity networks in ES patients were significantly stronger than controls when based on both cross-correlation and PLI. Significance for all statistical tests was p < 0.05, adjusted for multiple comparisons using the Benjamini-Hochberg procedure as appropriate. Finally, using logistic regression, a multi-attribute classifier was derived that accurately distinguished cases from controls (area under curve of 0.96). CONCLUSIONS Computational EEG features successfully distinguish ES patients from controls in a large, blinded study. SIGNIFICANCE These objective EEG markers, in combination with other clinical factors, may speed the diagnosis and treatment of the disease, thereby improving long-term outcomes.
Parameter-Efficient Transfer Learning with Diff Pruning

While task-specific finetuning of deep networks pretrained with self-supervision has led to significant empirical advances in NLP, their large size makes the standard finetuning approach difficult to apply to multi-task, memory-constrained settings, as storing the full model parameters for each task become prohibitively expensive. We propose diff pruning as a simple approach to enable parameter-efficient transfer learning within the pretrain-finetune framework. This approach views finetuning as learning a task-specific diff vector that is applied on top of the pretrained parameter vector, which remains fixed and is shared across different tasks. The diff vector is adaptively pruned during training with a differentiable approximation to the L0-norm penalty to encourage sparsity. Diff pruning becomes parameter-efficient as the number of tasks increases, as it requires storing only the nonzero positions and weights of the diff vector for each task, while the cost of storing the shared pretrained model remains constant. We find that models finetuned with diff pruning can match the performance of fully finetuned baselines on the GLUE benchmark while only modifying 0.5% of the pretrained model's parameters per task.