cssi/SciSciGPT-SciSciNet huggingface dataset:
The High-redshift Clusters Occupied by Bent Radio AGN (COBRA) Survey: The Spitzer Catalog

We present 190 galaxy cluster candidates (most at high redshift) based on galaxy overdensity measurements in the \spitzer/IRAC imaging of the fields surrounding 646 bent, double-lobed radio sources drawn from the Clusters Occupied by Bent Radio AGN (COBRA) Survey. The COBRA sources were chosen as objects in the VLA FIRST survey that lack optical counterparts in the Sloan Digital Sky Survey (SDSS) to a limit of $m_r=22$, making them likely to lie at high redshift. This is confirmed by our observations: the redshift distribution of COBRA sources with estimated redshifts peaks near $z=1$, and extends out to $z\approx3$. Cluster candidates were identified by comparing our target fields to a background field and searching for statistically significant ($\ge2\sigma$) excesses in the galaxy number counts surrounding the radio sources; 190 fields satisfy the $\ge2\sigma$ limit. We find that 530 fields (82.0\%) have a net positive excess of galaxies surrounding the radio source. Many of the fields with positive excesses but below the $2\sigma$ cutoff are likely to be galaxy groups. Forty-one COBRA sources are quasars with known spectroscopic redshifts, which may be tracers of some of the most distant clusters known.
Conjugacy classes of p-elements and normal p-complements

In this paper, we study the structure of finite groups with a large number of conjugacy classes of $p$-elements for some prime $p$. As consequences, we obtain some new criteria for the existence of normal $p$-complements in finite groups.
Classroom to Cyberspace:Preserving Street Law's Interactive and Student-Centered Focus During Distance Learning

The Street Law program at New York Law School (NYLS) is a faculty taught, credit-bearing course that trains law students to teach interactive lessons covering practical legal topics at The Charter High School for Law & Social Justice (CHSLSJ), in the Bronx, New York. On March 3, 2020, NYLS moved online due to the rapid rise of COVID cases in New York City. Like many clinical and experiential programs, we weighed options that would provide both valuable experiences for our high school and law students while keeping everyone safe. On Sunday March 15, 2020, the New York City public schools shifted to remote learning. The immediate closure of physical buildings forced schools into reactive emergency distance learning. Determined to continue to provide Street Law lessons and some consistency for our high school students, we supplied weekly asynchronous lessons because synchronous teaching was not available at CHSLSJ. We could see from student work product that they were continuing to learn content and practice skills. However, the connection and community often created in Street Law classrooms was missing. Additionally, for the past several summers, CHSLSJ has offered a Summer Bridge program for their incoming students that follows the Street Law model. This summer, we taught Summer Bridge synchronously. After completing two months of asynchronous Street Law instruction and an intensive two-week synchronous program, we have amassed best practices for teaching Street Law through distance learning. These best practices include technology choice, class length, class size, number of instructors, and use of visuals. We recently learned that CHSLSJ will be entirely online again this fall. We will use lessons learned to prepare the best program we can for the upcoming semester. This paper will examine whether is it possible to maintain interactive, student-centered Street Law instruction during distance learning.
Solving Sparse Linear Systems Faster than Matrix Multiplication

Can linear systems be solved faster than matrix multiplication? While there has been remarkable progress for the special cases of graph structured linear systems, in the general setting, the bit complexity of solving an $n \times n$ linear system $Ax=b$ is $\tilde{O}(n^\omega)$, where $\omega < 2.372864$ is the matrix multiplication exponent. Improving on this has been an open problem even for sparse linear systems with poly$(n)$ condition number. In this paper, we present an algorithm that solves linear systems in sparse matrices asymptotically faster than matrix multiplication for any $\omega > 2$. This speedup holds for any input matrix $A$ with $o(n^{\omega -1}/\log(\kappa(A)))$ non-zeros, where $\kappa(A)$ is the condition number of $A$. For poly$(n)$-conditioned matrices with $\tilde{O}(n)$ nonzeros, and the current value of $\omega$, the bit complexity of our algorithm to solve to within any $1/\text{poly}(n)$ error is $O(n^{2.331645})$. Our algorithm can be viewed as an efficient, randomized implementation of the block Krylov method via recursive low displacement rank factorizations. It is inspired by the algorithm of [Eberly et al. ISSAC `06 `07] for inverting matrices over finite fields. In our analysis of numerical stability, we develop matrix anti-concentration techniques to bound the smallest eigenvalue and the smallest gap in eigenvalues of semi-random matrices.
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages

While recurrent models have been effective in NLP tasks, their performance on context-free languages (CFLs) has been found to be quite weak. Given that CFLs are believed to capture important phenomena such as hierarchical structure in natural languages, this discrepancy in performance calls for an explanation. We study the performance of recurrent models on Dyck-n languages, a particularly important and well-studied class of CFLs. We find that while recurrent models generalize nearly perfectly if the lengths of the training and test strings are from the same range, they perform poorly if the test strings are longer. At the same time, we observe that RNNs are expressive enough to recognize Dyck words of arbitrary lengths in finite precision if their depths are bounded. Hence, we evaluate our models on samples generated from Dyck languages with bounded depth and find that they are indeed able to generalize to much higher lengths. Since natural language datasets have nested dependencies of bounded depth, this may help explain why they perform well in modeling hierarchical dependencies in natural language data despite prior works indicating poor generalization performance on Dyck languages. We perform probing studies to support our results and provide comparisons with Transformers.
Deep Learning for IoT

Deep learning and other machine learning approaches are deployed to many systems related to Internet of Things or IoT. However, it faces challenges that adversaries can take loopholes to hack these systems through tampering history data.This paper first presents overall points of adversarial machine learning. Then, we illustrate traditional methods, such as Petri Net cannot solve this new question efficiently. After that, this paper uses the example from triage(filter) analysis from IoT cyber security operations center. Filter analysis plays a significant role in IoT cyber operations. The overwhelming data flood is obviously above the cyber analyst’s analytical reasoning. To help IoT data analysis more efficient, we propose a retrieval method based on deep learning (recurrent neural network). Besides, this paper presents a research on data retrieval solution to avoid hacking by adversaries in the fields of adversary machine leaning. It further directs the new approaches in terms of how to implementing this framework in IoT settings based on adversarial deep learning.
Software development with feature toggles: practices used by practitioners

Using feature toggles is a technique that allows developers to either turn a feature on or off with a variable in a conditional statement. Feature toggles are increasingly used by software companies to facilitate continuous integration and continuous delivery. However, using feature toggles inappropriately may cause problems which can have a severe impact, such as code complexity, dead code, and system failure. For example, the erroneous repurposing of an old feature toggle caused Knight Capital Group, an American global financial services firm, to go bankrupt due to the implications of the resultant incorrect system behavior. The goal of this research project is to aid software practitioners in the use of practices to support software development with feature toggles through an empirical study of feature toggle practice usage by practitioners. We conducted a qualitative analysis of 99 artifacts from the grey literature and 10 peer-reviewed papers about feature toggles. We conducted a survey of practitioners from 38 companies. We identified 17 practices in 4 categories: Management practices, Initialization practices, Implementation practices, and Clean-up practices. We observed that all of the survey respondents use a dedicated tool to create and manage feature toggles in their code. Documenting feature toggle’s metadata, setting up the default value for feature toggles, and logging the changes made on feature toggles are also frequently-observed practices. The feature toggle development practices discovered and enumerated in this work can help practitioners more effectively use feature toggles. This work can enable future mining of code repositories to automatically identify feature toggle practices.
Discounting under uncertainty: Disentangling the Weitzman and the Gollier effect

The uncertainty of future economic development affects the term structure of discount rates and, thus, the intertemporal weights that are to be used in cost benefit analysis. The U.K. and France have recently adopted a falling term structure to incorporate uncertainty and the U.S. is considering a similar step. A series of publications discusses the following concern: a seemingly analogous argument used to justify falling discount rates can also justify increasing discount rates. We show that increasing and decreasing discount rates mean different things, can coexist, are created by different channels through which risk affects evaluation, and have the same qualitative effect of making long-term payoffs more attractive.
From Big Law to Lean Law

Abstract In a provocative 2009 essay entitled The Death of Big Law, the late Larry Ribstein predicted the shrinkage, devolution, and ultimate demise of the traditional large law firm. At the time virtually no practicing lawyer took Larry seriously. The nation's large firms were only one year removed from record revenues and profits. Several decades of relentless growth had conditioned all of us to expect the inevitable rebound. Similarly, few law professors (including me) grasped the full reach of Larry's analysis. His essay was not just another academic analysis. Rather, he was describing a seismic paradigm shift that would profoundly disrupt the economics of legal education and cast into doubt nearly a century of academic conventions. Suffice to say, the events of the last three years have made us humbler and wiser. This essay revisits Larry's seminal essay. Its primary goal is to make Larry's original thesis much more tractable and concrete. It consists of three main pillars: (1) the organizational mindset and incentive structures that blinds large law partners to the gravity of their long-term business problems; (2) a specific rather than abstract description of the technologies and entrepreneurs that are gradually eating away at the work that has traditionally belonged to Big Law; and (3) the economics of the coming “Lean Law” era. With these data in hand, we can begin the difficult process of letting go of old ideas and architecting new institutions that better fit the needs of a 21st century economy.
Computers in assessment and cognitive behavioral treatment of clinical disorders: Anxiety as a case in point

Computers have the potential to provide effective assessment and to assist in the provision of therapy at relatively low cost. This article reviews the research on computer programs for the assessment and cognitive behavioral treatment of anxiety disorders. Empirical findings on the use of computers for clinical diagnoses, as substitutes for paper and pencil assessment measures, as the sole providers of behavior therapy, and as an adjunct to clinician guidance are presented. In addition to being the first critical review of the methodology of this research, this paper describes desktop and ambulatory computer technology and programs, discusses their advantages and disadvantages, and provides suggestions for future research. Although this review focuses on anxiety disorder research, most of the basic points that are made with respect to the computer technology and research apply to computer assessment and therapy as it relates to other disorders.
Performance evaluation and self-designated benchmark indexes in the mutual fund industry

Abstract Almost one-third of actively managed, diversified U.S. equity mutual funds specify a size and value/growth benchmark index in the fund prospectus that does not match the fund's actual style. Nevertheless, these “mismatched” benchmarks matter to fund investors. Performance relative to the specified benchmark is a significant determinant of a fund's subsequent cash inflows, even controlling for performance measures that better capture the fund's style. These incremental flows appear unlikely to be rational responses to abnormal returns. The evidence is consistent with the notion that mismatched self-designated benchmarks result from strategic fund behavior driven by the incentive to improve flows.
Government Failures in Development

This paper takes as a given the proposition that, in many developing countries, governmental policies have been highly distortive and harmful to economic growth. These policies have included omissions, such as neglect of infrastructure, and commission such as highly restrictive trade regimes and credit rationing. The issues arising from recognition that governments, like markets, are imperfect are discussed.
In-State College Enrollment and Later Life Location Decisions

State and local policymakers are very interested in how attending college in one’s home state affects the likelihood of living in that state after college. This paper uses cohort-level data from the American Community Survey, decennial censuses, and other sources to examine how birth-state college enrollment affects birth-state residence several years later. Ordinary least squares and instrumental variables estimates both suggest a statistically significant positive relationship. The preferred instrumental variable estimates suggest that a one percentage point increase in birth-state enrollment rates increases later life birth-state residence by roughly 0.41 percentage points. Implications for policy are discussed.
Analyst responsiveness and the post-earnings-announcement drift ☆

Abstract This study examines the responsiveness of analyst forecasts to current earnings announcements. The results show considerable cross-sectional variation in analyst responsiveness and suggest that this variation is related to the costs and benefits associated with prompt forecast revisions. More importantly, this study finds that with responsive forecast revisions, more of the market reaction takes place in the event window and less in the drift window, suggesting that analyst responsiveness mitigates the post-earnings-announcement drift and facilitates market efficiency.
American Security and Law of the Sea

With the election of President Barack Obama and renewed interest in the Law of the Sea Convention inside the United States, this article pulls from obscurity the key U.S. declarations, understandings, and conditions of ratification to the Treaty, considers their context and meaning for U.S. security interests, and helps to place them into the lexicon of oceans law and policy that informs the greater dialogue of international security and strategy.
Fog Computing Vs. Cloud Computing

This article gives an overview of what Fog computing is, it’s uses and the comparison between Fog computing and Cloud computing. Cloud is performing well in today’s World and boosting the ability to use the internet more than ever. Cloud computing gradually developed a method to use the benefits of it in most of the organizations. Fog computing can be apparent both in big data structures and large cloud systems, making reference to the growing complications in retrieving the data accurately. Fog computing is outspreading cloud computing by transporting computation on the advantage of network systems such as cell phone devices or fixed nodes with in-built data storage. Fog provides important points of improved abilities, strong security controls, and processes, establish data transmission capabilities carefully and in a flexible manner. This paper gives an overview of the connections and attributes for both Fog computing and cloud varies by outline, preparation, directions, and strategies for associations and clients. This also explains how Fog computing is flexible and provide better service for data processing by overwhelming low network bandwidth instead of moving whole data to the cloud platform.
Strengthening the Ties that Bind: Preventing Corruption in the Executive Suite

High-profile corporate scandals earlier in this decade provoked outrage and legislative action; however, corporate executive-level ethical lapses continue to come to light. This article examines the work of Professor Dunfee and his coauthors on corruption, ethical leadership, and social contracts theory, and relates that literature to corrupt activities by corporate executives. Corruption is defined broadly to encompass executive self-dealing, which harms their firms. The specific example of stock options backdating is used to show the harmful impact on shareholders and the lack of managerial integrity though consequentialist, deontological, and legal analysis, as well as a critique of the practice using social contracts principles. Ultimately, this article utilizes the insights of Dunfee and his coauthors, and the lessons from the backdating example, to propose a framework aimed at improving corporate governance and preventing future executive corruption. The framework includes a strategy of identification and prevention, employing detection and eradication mechanisms, and institutional learning from past instances of corporate corruption.
ETHICS AND THE MARKET ECONOMY: INSIGHTS FROM CATHOLIC MORAL THEOLOGY

The ethical dimension of market solutions to problems is often neglected by their proponents. This article examines the market from the standpoint of orthodox Roman Catholic moral theology. It illustrates how Catholic theologians have contributed to thinking about the market, draws attention to Catholicism's positive assessment of entrepreneurship, and outlines paths for future Catholic reflection on the market.
WDVV-type relations for disk Gromov–Witten invariants in dimension 6

The first author’s previous work established Solomon’s WDVV-type relations for Welschinger’s invariant curve counts in real symplectic fourfolds by lifting geometric relations over possibly unorientable morphisms. We apply her framework to obtain WDVV-style relations for the disk invariants of real symplectic sixfolds with some symmetry, in particular confirming Alcolado’s prediction for $${\mathbb {P}}^3$$ and extending it to other spaces. These relations reduce the computation of Welschinger’s invariants of many real symplectic sixfolds to invariants in small degrees and provide lower bounds for counts of real rational curves with positive-dimensional insertions in some cases. In the case of $${\mathbb {P}}^3$$ , our lower bounds fit perfectly with Kollar’s vanishing results.
Gideon's Muted Trumpet

Once the darling of the legal academy, criminal procedure has fallen into disrepute. Thirty-five years ago, when Gideon was decided, criminal procedure was the flagship of constitutional law, criminal defense attorneys were heroes, and courts and lawyers were perceived as themselves agents of social justice. Today, there are still heroes. But the conventional wisdom, within the academy and the country at large, no longer associates criminal law or procedure with heroism. Indeed, in some quarters, criminal procedure has become the enemy. Increasingly, scholars urge revisionism, popular pundits brand procedural innovations as a loss of "common sense," and philosophers warn that the "procedural republic" has helped us to lose our way.Striking is this scholarly skepticism when compared to the disturbing fate of those who spawned this conference: they are vulnerable, poor, friendless; they have never seen a lawyer and they have talked to a judge speaking from a remote televised location. They sit in jail for ten or twenty or thirty days, losing their jobs and their families, only to have the charges ultimately dismissed. Douglas Colbert's cases raise important questions about a failed legal revolution. For when the charges have been dismissed, what will Colbert's defendants understand about "criminal procedure"? The majesty of Gideon? The wisdom of the Warren Court? No doubt, the jailed and abandoned defendant would agree with critics of criminal procedure. How else could he see the "process" except as his punishment?
High-speed Internet growth and the demand for locally accessible information content

Proximity to information resources has repeatedly been shown to affect urban development. However, individuals’ increased abilities to access information content electronically may have dampened urban areas’ comparative advantage of proximity-driven knowledge flows. We investigate the effects of increased high-speed Internet access on the role of information proximity by modeling changes in the demands for locally-based information resources, exploiting variation in the use of US public libraries—the most common low-cost providers of locally accessible information content. Data describing a nearly comprehensive set of US public libraries during 2000–2008 provide empirical evidence of complementary growth in Internet access and the use of public library resources, suggesting that Internet access increases the value of locally accessible information content and overall information demand. Moreover, the complementarity is found to be largest in metropolitan areas, indicating that improved Internet access in locations with greatest proximity and information spillover effects are likely to experience more substantial economic impacts.
Reinventing Regulation/Reinventing Accountability: Judicial Review in New Governance Regimes

This Essay considers the doctrinal and institutional challenges courts and designers of New Governance systems face when considering the availability and scope of judicial review. Part II briefly summarizes New Governance principles, while Part III explains the challenges they pose for American standing law. The Essay then considers solutions. Part IV considers aspects of other nations’ administrative standing law, considering whether those nations’ legal innovations overcome these hurdles while remaining true to courts’ proper role in reviewing agency action. Other nations have taken significant steps to resolve these issues; however, it remains unclear whether those resolutions transfer to the different institutional and legal structure in the United States. Part V considers whether the problem of standing can be resolved in a principled way by reconceptualizing the injury plaintiffs allege when they challenge New Governance regulation. Finally, Part VI considers the proper scope of judicial review of New Governance regulation.
Forward Versus Trailing Earnings in Equity Valuation

This article articulates how forward earnings are more accurate valuation attributes than trailing earnings. First, I show that, while linear accrual rules cannot achieve accurate trailing earnings-value relations in a setting with unobserved information, they can achieve accurate forward earnings-value relations. Second, I prove that, even when accrual rules are restricted so that forward earnings fails to be an exact valuation attribute, more-forward earnings are more accurate valuation attributes than less-forward earnings or trailing earnings. In conclusion, even under deficient accrual policies, more-forward earnings are more accurate valuation attributes—the more-forward, the more accurate.
Dietary supplement labeling: cognitive biases, market manipulation & consumer choice.

There exists increasing concern that the Dietary Supplements Health and Education Act (“DSHEA”) has proven ineffective and perhaps counterproductive. Most illustratively, consider a recent and remarkably candid remark from Tommy Thompson, then Secretary of Health and Human Services: “I really think Congress should take a look at the food supplement law again. It doesn't make any sense to me.” A health law that makes no sense to the Secretary of Health of Health and Human Services should certainly draw the attention of academics and policy-makers alike. Much of the debate concerning DSHEA regards the disparity in legislative treatment between dietary supplements, foods, and pharmaceutical drugs. Specifically, while pharmaceutical drugs must undergo years of costly pre-market testing, most dietary supplements—like most foods—can immediately enter the market, and only after repeated instances of adverse reactions can the Food and Drug Administration (“FDA”) remove them.
The real effects of delisting: Evidence from a regression discontinuity design

Abstract We study how the delisting of a firm’s stock, and the accompanying drop in liquidity, causally affects a firm’s real economic decisions. Although delisting is endogenous, we identify a causal effect by using regression discontinuity design (RDD). This technique suits the delisting problem because the probability of delisting rises discontinuously when observable variables pass known thresholds. We find that delisting results in a modest decline in investment and cash saving and an important and robust decline in employment.
Housing and Mortgage Market Policies in Chile

This study provides a survey of the housing and mortgage market policies applied between 1976 and 1994 in Chile. These policies are implemented within the framework of a free-market economy in which the state plays a subsidiary role in the economic affairs of the nation. Of particular importance to the housing sector have been the elimination of interest rate and rent controls, the elimination of a specialized housing finance system, and the consistent application of an indexation scheme that preserves the real value of monetary contracts and that allows investors the recovery of their funds with a competitive real return.
Djibouti's unusual resource curse*

An extensive literature on the ‘resource curse ’ posits that abundant natural resources ‘curse ’ countries possessing them with negative economic, social and political externalities. Usually, scholars identify tangible resources like oil, diamonds or timber, rarely questioning whether other kinds of resources might have the same impact, and under what conditions. This paper examines how little-studied Djibouti’s non-tangible resources – geo-strategic location and aid-inspiring poverty – have produced ‘ curse ’ effects ; with an economy dominated by US and French military spending (and concomitant aid) and rents on trade passing to and from Ethiopia, tiny Djibouti suffers from this curse. It draws four conclusions. First, resource curse effects can derive from non-traditional sources. Second, leaders’ policy decisions matter at least as much as the presence or absence of resources. Third, advanced countries’ spending patterns in their less-developed allies often produce unintended consequences. Finally, even tiny countries can provide scholars and policy makers with new insights.
Responsibility and the Limits of Conversation

Both legal and moral theorists have offered broadly “communicative” theories of criminal and moral responsibility. According to such accounts, we can understand the nature of responsibility by appealing to the idea that responsibility practices are in some fundamental sense expressive, discursive, or communicative. In this essay, I consider a variety of issues in connections with this family of views, including its relationship to free will, the theory of exemptions, and potential alternatives to the communicative model. Focusing on Michael McKenna’s Conversation and Responsibility, I argue that communicative accounts, and the conversational model in particular, direct our attention to important and under-appreciated elements of our responsibility practices. However, rather than focusing on a model of conversation-as-address, as McKenna does, we do better to regard gossip as the paradigmatic conversational form that captures the main features of moral responsibility.
The FDA and the tort system: postmarketing surveillance, compensation, and the role of litigation.

The dispute over FDA regulatory preemption is familiar: Preemption advocates assert that products liability suits stifle innovation, and proponents of tort liability counter that the FDA fails adequately to protect the public and that persons injured by defective products deserve compensation.The FDA's premarket approval process cannot detect all potential safety problems with a new drug; postmarketing surveillance is essential, and the FDA's efforts in that regard fall short. Advocates of preemption will find it difficult to establish that FDA regulation should entirely displace the tort system. This article examines whether a case could be made for an intermediate approach - one that links the regulatory and litigation systems in an effort to retain the benefits (and temper the weaknesses) of each.After comparing several possible options for structural links between the two systems, the article examines the possibility of a federal products liability litigation system involving qui tam suits on behalf of the United States as parens patriae. The system could be offered to companies on an opt-in basis. Companies that opted in would submit to more rigorous liability rules, but those rules would be applied by federal judges and an expert agency, rather than by state-court juries. Linkages between the litigation system and the agency could provide the agency with information concerning potential safety issues, and could provide the civil justice system with appropriate liability standards.Ultimately, the article fails to establish that such a system would be superior to the status quo. It does, however, support the view that such a system would be preferable to preemption. Advocates of preemption should not cast the debate as a binary contest between preemption and the status quo; rather, they should also be required to show that preemption is superior to other alternatives, such as those discussed here.
OPTION TRADING AROUND EX-DIVIDEND DATES

Why do we see so much options trading in the period around dividend ex-dates? We examine option open interest and volume around ex-dates for fifty of the most actively optioned stocks whose options traded on CBOE for each of the three years 1986-1988 to find a partial answer to the question. We find evidence consistent with several types of dividend- related trading at such times, including exercise avoidance, dividend spreading, and dividend capture. Given the abnormal volume seen during the week before an ex-date, these motives appear to account for 3% to 4% of all CBOE call volume, and a higher portion of call volume for high-dividend stocks.
REAL OPTIONS WITH MARKET RISKS AND PRIVATE RISKS

Real investment decisions often include risks that are not priced in the capital markets. Valuing real options with private risks is not trivial. Private risks cannot be evaluated with arbitrage arguments used in option pricing techniques (OPT). This article values an option to defer a capital investment decision subject to market, as well as private risk. OPT only provides bounds on the value of this option, so an equilibrium approach is used to obtain consistent and precise estimates. The article addresses two other issues, often the subject of much debate: does private risk diminish the value of the option or enhance it, as does market risk? Does the real option's sensitivity to risk depend on the sequence between private and market risk and to which type of risk occurs first?
Effects of stellar collisions on star cluster evolution and core collapse

We systematically study the effects of collisions on the overall dynamical evolution of dense star clusters using Monte Carlo simulations over many relaxation times. We derive many observable properties of these clusters, including their core radii and the radial distribution of collision products. We also study different aspects of collisions in a cluster taking into account the shorter lifetimes of more massive stars, which has not been studied in detail before. Depending on the lifetimes of the significantly more massive collision products, observable properties of the cluster can be modified qualitatively; for example, even without binaries, core collapse can sometimes be avoided simply because of stellar collisions.
Replicated Computational Results (RCR) Report for “Code Generation for Generally Mapped Finite Elements”

“Code Generation for Generally Mapped Finite Elements” includes performance results for the finite element methods discussed in that manuscript. The authors provided a Zenodo archive with the Firedrake components and dependencies used, as well as the scripts that generated the results. The software was installed on two similar platforms; then, new results were gathered and compared to the original results. After completing this process, the results have been deemed replicable by the reviewer.
The Case against Harry Dexter White: Still Not Proven

Harry Dexter White, the principal architect of the international financial system established at the end of the Second World War, was arguably the most important U. S. government economist of the 20th century. His reputation, however, has suffered because of allegations that he spied for the Soviet Union. That charge has recently been revived by the declassification of documents showing that he met with Soviet agents in 1944 and 1945. Evaluation of that evidence in the context of White’s career and worldview casts doubt on the case against him and provides the basis for a more benign interpretation.
Implications of uniformly distributed, empirically informed priors for phylogeographical model selection: a reply to Hickerson et al.

Establishing that a set of population-splitting events occurred at the same time can be a potentially persuasive argument that a common process affected the populations. Recently, Oaks et al. (2013) assessed the ability of an approximate-Bayesian model-choice method (msBayes) to estimate such a pattern of simultaneous divergence across taxa, to which Hickerson et al. (2014) responded. Both papers agree that the primary inference enabled by the method is very sensitive to prior assumptions and often erroneously supports shared divergences across taxa when prior uncertainty about divergence times is represented by a uniform distribution. However, the papers differ about the best explanation and solution for this problem. Oaks et al. (2013) suggested the method's behavior was caused by the strong weight of uniformly distributed priors on divergence times leading to smaller marginal likelihoods (and thus smaller posterior probabilities) of models with more divergence-time parameters (Hypothesis 1); they proposed alternative prior probability distributions to avoid such strongly weighted posteriors. Hickerson et al. (2014) suggested numerical-approximation error causes msBayes analyses to be biased toward models of clustered divergences because the method's rejection algorithm is unable to adequately sample the parameter space of richer models within reasonable computational limits when using broad uniform priors on divergence times (Hypothesis 2). As a potential solution, they proposed a model-averaging approach that uses narrow, empirically informed uniform priors. Here, we use analyses of simulated and empirical data to demonstrate that the approach of Hickerson et al. (2014) does not mitigate the method's tendency to erroneously support models of highly clustered divergences, and is dangerous in the sense that the empirically derived uniform priors often exclude from consideration the true values of the divergence-time parameters. Our results also show that the tendency of msBayes analyses to support models of shared divergences is primarily due to Hypothesis 1, whereas Hypothesis 2 is an untenable explanation for the bias. Overall, this series of papers demonstrates that if our prior assumptions place too much weight in unlikely regions of parameter space such that the exact posterior supports the wrong model of evolutionary history, no amount of computation can rescue our inference. Fortunately, as predicted by fundamental principles of Bayesian model choice, more flexible distributions that accommodate prior uncertainty about parameters without placing excessive weight in vast regions of parameter space with low likelihood increase the method's robustness and power to detect temporal variation in divergences.
Weak and Strong Signals

Akerlof, Spence and Stiglitz showed that competitive markets can perform very poorly in the presence of informational asymmetry. In this paper I show that if there is a signaling technology which is sufficiently strong (i.e., the marginal cost of signaling declines sufficiently rapidly with quality) the cost of sorting is low and a Nash equilibrium exists. Empirically testable necessary and sufficient conditions for existence are derived. I further show that if Akerlovian participation constraints are added to a signaling model there is a minimum signaling threshold. Finally I argue that these conclusions hold regardless of whether it is the uninformed or informed agents who move first.
Market liquidity as a sentiment indicator

Abstract We build a model that helps to explain why increases in liquidity—such as lower bid–ask spreads, a lower price impact of trade, or higher turnover–predict lower subsequent returns in both firm-level and aggregate data. The model features a class of irrational investors, who underreact to the information contained in order flow, thereby boosting liquidity. In the presence of short-sales constraints, high liquidity is a symptom of the fact that the market is dominated by these irrational investors, and hence is overvalued. This theory can also explain how managers might successfully time the market for seasoned equity offerings, by simply following a rule of thumb that involves issuing when the SEO market is particularly liquid. Empirically, we find that: (i) aggregate measures of equity issuance and share turnover are highly correlated; yet (ii) in a multiple regression, both have incremental predictive power for future equal-weighted market returns.
There's No Place Like Home: The Right to Live in the Community for People with Disabilities, Under International Law and the Domestic Laws of the United States and Israel

This article explores the developing ‘right to live in the community’ for people with disabilities under international law and the domestic laws of two countries: the United States and Israel. In 2006, the United Nations adopted the Convention on the Rights of People with Disabilities (CRPD). This Convention embraces a human rights approach to disability, based on the principles of equality, dignity, freedom and inclusion. Based on these principles, Article 19 of the CRPD includes a specific right of all people with disabilities ‘to live in the community, with choices equal to others’. The author argues that the mandate of community living in Article 19 supports an explicit legal right of all people with disabilities not only to live in the community, but to choose where to live and with whom, and with supports, as needed. This new international legal right to live in one's home in the community also advances the goals and principles of the domestic laws of the US and Israel.In the US, the Americans with Disabilities Act (ADA) protects the right of people with disabilities to receive services in ‘the most integrated’ setting. Relying on this ‘integration mandate’, the US Supreme Court, in 1999, upheld a limited right of people with disabilities to live in the community in Olmstead v LC and EW. In Israel, the Parliament (Knesset) enacted a law similar to the ADA in 1998. This law, the Equal Rights of Persons with Disabilities Law (‘Equal Rights Law’) includes a general right of people with disabilities to equality and non-discrimination. Although the current version of the Equal Rights Law does not include a specific article on the right to live in the community, the basis for such a right may be found in other articles of the law as well as other Israeli laws. In addition, in the recent case of Lior Levy et al., the Israeli High Court of Justice was asked to consider the right to live in the community under Israeli law. While the Court in this case recognised a limited right to live in the community, it failed to invalidate as discriminatory the Israeli government's policy of placing people with disabilities in large institution-like hostels rather than in homes in the community. The author concludes the article with a discussion of the scope and meaning of community living and the extent to which institutions, as well as community housing that functions just like institutions, should be prohibited under the CRPD as well as under US and Israeli law.
Enacting the “Incomprehensible China”: Modern European Jurisprudence and the Japanese Reconstruction of Qing Political Law

The great ambition of Japanese colonialism, from the time of its debut at the end of the nineteenth century, was the reformulation of Chinese law and politics. One of the most extraordinary examples of this ambition is The Administrative Law of the Qing Empire [Shinkoku Gyōseihō], a monumental enterprise undertaken by the Japanese colonial government in Taiwan intended not only to facilitate Japanese colonial administration of Taiwan but also to reorder the entire politico-juridical order of China along the lines of modern rational law. This article examines the legal analysis embraced in The Administrative Law of the Qing Empire and recounts its attempt to reconstruct the Qing's “political law” (seihō) by a strange, ambiguous, and hybrid resort to “authenticity.” The strangeness of this Japanese colonial production comes from Japan's dual position as both colonizer of Taiwan and simultaneously itself colonized by “modern European jurisprudence”(kinsei hōri). In uncovering the effects of modern European jurisprudence on the Japanese enterprise, we will discover Japan's pursuit of its own cultural subjectivity embedded in The Administrative Law of the Qing Empire, epitomizing the campaign of national identities observable in the process of East Asian legal modernization.
Debunking the Myth of Universal Male Privilege

Existing legal responses to sexual assault and harassment in the military have stagnated or failed. Current approaches emphasize the prevalence of sexual assault and highlight the masculine nature of the military’s statistical composition and institutional culture. Current responses do not, however, incorporate masculinities theory to disentangle the experiences of men as a group from men as individuals. Rather, embedded within contestations of the masculine military culture is the unstated assumption that the culture universally privileges or benefits the individual men that operate within it. This myth is harmful because it tethers masculinities to military efficacy, suppresses the costs of male violence to men, and positions women as perpetual outsiders. Debunking the myth of universal male privilege in heavily masculinized institutions would advance gender equality and shift the law reform focus. It would bring sexual assault, domestic violence, and sexual harassment into the same frame as the military mental health crisis and even mass soldier-on-soldier shootings. This would reveal the gender equality implications of military mental health and disentangle masculinities and military efficacy. Debunking the myth of universal male privilege would yield more vigilance to how law reforms can exacerbate hyper-masculine violence. It introduces new entry points to gendered violence in the military, expanding the focus from incident-based responses to recruiting and training.
Innocence Interrupted: Reconstructing Fatherhood in the Shadow of Child Molestation Law

This Article shows why criminal law should be regarded as parenting law, as child molestation statutes formally categorized as criminal statutes are increasingly being used to regulate parents’ behavior as they engage in mundane childcare practices. In the hands of legal decision-makers, these laws end up being enforced in ways that reinstantiate traditional gender norms. This Article charts the problem by showing how the inquiry authorized by today’s broad, far reaching child molestation statutes invites and even requires judges, juries other legal decisionmakers to rely on gendered notions of cultural “common sense” to resolve child molestation cases involving fathers providing seemingly mundane intimate care. The Article shows why child molestation statutes are interpreted in the intimate care cases in ways that enforce gendered parenting norms, showing that legal decision-makers turn to these stereotypes because the concepts of sexual injury at the heart of child molestation law are radically undertheorized. The article considers the role feminist legal theory has played in this undertheorization problem, addresses the stumbling blocks to future feminist theorizing on this issue, and examines the material consequences of the current undertheorized concepts of sexual injury for the practice and experience of fatherhood.
Could institutional reform have saved Easter Island

This paper extends the Brander and Taylor general-equilibrium model of population and resource management dynamics to a variety of institutional settings. The authors simulate the economic history of Easter Island, modifying the model to examine the impact of market institutions and different property-rights structures. The major finding of the paper is that modification of the economic institutions on Easter Island could have damped the feast-and-famine cycles that plagued its later history.
Long Memory Processes and Chronic Inflation; Detecting Homogeneous Components in a Linear Rational Expectation Model

This paper is an empirical study of the links between monetary variables and inflation based on Cagan’s equation and its rational expectations solution, when the forcing variable is a fractionally integrated process. As demonstrated by Hamilton and Whiteman, the existence of bubbles and other extraneous influences can be detected only by verifying the difference in the order of integration between the monetary base and the price level series. This paper shows that a fractionally differenced model overcomes Evans’ critique of this test and that chronic inflation is essentially a monetary phenomenon caused by fiscal imbalance.