Anisotropic Laplace-Beltrami Operators for Shape Analysis

International audienceThis paper introduces an anisotropic Laplace-Beltrami operator for shape analysis. While keeping useful properties of the standard Laplace-Beltrami operator, it introduces variability in the directions of principal curvature, giving rise to a more intuitive and semantically meaningful diffusion process. Although the benefits of anisotropic diffusion have already been noted in the area of mesh processing (e.g. surface regularization), focusing on the Laplacian itself, rather than on the diffusion process it induces, opens the possibility to effectively replace the omnipresent Laplace-Beltrami operator in many shape analysis methods. After providing a mathematical formulation and analysis of this new operator, we derive a practical implementation on discrete meshes. Further, we demonstrate the effectiveness of our new operator when employed in conjunction with different methods for shape segmentation and matching

Brief for Plaintiff-Appellee, Carroll v. Trump, No. 20-3977 (2nd Cir. Apr. 16, 2021)

Introduction In June 2019, E. Jean Carroll revealed that former President Donald J. Trump had sexually assaulted her decades earlier. Trump denied it, saying he did not know who Carroll was and had never met her. But he did not stop there. He launched a series of vicious, personal attacks. He implied that she was too ugly to rape; that she had falsely accused other men of sexual assault; and that she had invented her story for money, or to sell books, or to advance a political plot. None of this was true. Trump knew that he had assaulted Carroll. He knew who she was. And he knew what he was doing when he went on a defamation rampage designed to crush her— to punish and retaliate against her—for daring to reveal his decades-old crime. Faced with this staggering onslaught, Carroll sought relief in court and sued Trump for defamation. Her case proceeded in New York state court for ten months. Trump did everything he could to stall, but his efforts ultimately failed. Just as the parties were about to engage in merits discovery, the White House prevailed upon the Department of Justice (DOJ) to intercede. Following a certification under the Westfall Act, 28 U.S.C. § 2679(d), DOJ lawyers removed the case to federal court and sought to substitute the United States as the defendant. They took the position that Trump was just doing his job—i.e., that he was acting within the scope of his employment—when he repeatedly slandered a private citizen who was no longer willing to hide the fact that he had raped her long before taking office. On two separate grounds, Judge Kaplan denied DOJ’s motion to substitute. He first held that the statute invoked by DOJ in support of substitution—the Federal Tort Claims Act (FTCA), 28 U.S.C. §§ 1346, 2671, as amended by the Westfall Act—does not apply to the President. That conclusion is compelled by the FTCA’s text and structure, as well as a host of constitutional, legislative, and judicial authorities, all of which confirm that the FTCA does not apply to the President. On appeal, DOJ (joined by Trump) seeks to show otherwise, but their arguments make a mess of the statute and offend settled separation-of-powers principles. In the alternative, Judge Kaplan concluded Trump was not acting within the scope of his employment when he defamed Carroll. This commonsense conclusion follows directly from the evidence before the Court and from longstanding principles of respondeat superior liability. On appeal, DOJ and Trump offer no basis to disturb that finding. Indeed, there is almost nothing in their briefs that discusses the facts at all. Instead, they urge the Court to adopt a new rule that would create categorical immunity for any federal official who defames anyone while speaking to the press or responding to perceived critics. That rule is both wrong and dangerous, and this Court should reject Appellants’ effort to avoid answering for Trump’s conduct. “Public office does not carry with it a license to defame at will, for even the highest officers exist to serve the public, not to denigrate its members.” Clark v. McGee, 49 N.Y.2d 613, 618-19 (1980). If accepted, Appellants’ extreme position would distort precedent, dishonor the Office of the Presidency, and give succor to the view that our most powerful political leaders stand entirely above the law. This Court should therefore affirm the denial of DOJ’s motion to substitute. Statement of the issues: 1. Is the President an “employee of the government” as that term is defined in the Federal Tort Claims Act (FTCA), 28 U.S.C. § 2671? 2. Assuming the President is an “employee of the government” under the FTCA, did Donald J. Trump act within the scope of his employment when he subjected E. Jean Carroll to willful, outrageous defamatory attacks in retaliation for revealing that he had sexually assaulted her decades before he was elected President

Photo‐biocatalytic Cascades:Combining Chemical and Enzymatic Transformations Fueled by Light

In the field of green chemistry, light – an attractive natural agent – has received particular attention for driving biocatalytic reactions. Moreover, the implementation of light to drive (chemo)enzymatic cascade reactions opens up a golden window of opportunities. However, there are limitations to many current examples, mostly associated with incompatibility between the enzyme and the photocatalyst. Additionally, the formation of reactive radicals upon illumination and the loss of catalytic activities in the presence of required additives are common observations. As outlined in this review, the main question is how to overcome current challenges to the exploitation of light to drive (chemo)enzymatic transformations. First, we highlight general concepts in photo-biocatalysis, then give various examples of photo-chemoenzymatic (PCE) cascades, further summarize current synthetic examples of PCE cascades and discuss strategies to address the limitations

Estimation of interdomain flexibility of N-terminus of factor H using residual dipolar couplings

Characterization of segmental flexibility is needed to understand the biological mechanisms of the very large category of functionally diverse proteins, exemplified by the regulators of complement activation, that consist of numerous compact modules or domains linked by short, potentially flexible, sequences of amino acid residues. The use of NMR-derived residual dipolar couplings (RDCs), in magnetically aligned media, to evaluate interdomain motion is established but only for two-domain proteins. We focused on the three N-terminal domains (called CCPs or SCRs) of the important complement regulator, human factor H (i.e. FH1-3). These domains cooperate to facilitate cleavage of the key complement activation-specific protein fragment, C3b, forming iC3b that no longer participates in the complement cascade. We refined a three-dimensional solution structure of recombinant FH1-3 based on nuclear Overhauser effects and RDCs. We then employed a rudimentary series of RDC datasets, collected in media containing magnetically aligned bicelles (disk-like particles formed from phospholipids) under three different conditions, to estimate interdomain motions. This circumvents a requirement of previous approaches for technically difficult collection of five independent RDC datasets. More than 80% of conformers of this predominantly extended three-domain molecule exhibit flexions of < 40 °. Such segmental flexibility (together with the local dynamics of the hypervariable loop within domain 3), could facilitate recognition of C3b via initial anchoring and eventual reorganization of modules to the conformation captured in the previously solved crystal structure of a C3b:FH1-4 complex

Analyzing collaborative learning processes automatically

In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners’ interactions is a time consuming and effortful process. Improving automated analyses of such highly valued processes of collaborative learning by adapting and applying recent text classification technologies would make it a less arduous task to obtain insights from corpus data. This endeavor also holds the potential for enabling substantially improved on-line instruction both by providing teachers and facilitators with reports about the groups they are moderating and by triggering context sensitive collaborative learning support on an as-needed basis. In this article, we report on an interdisciplinary research project, which has been investigating the effectiveness of applying text classification technology to a large CSCL corpus that has been analyzed by human coders using a theory-based multidimensional coding scheme. We report promising results and include an in-depth discussion of important issues such as reliability, validity, and efficiency that should be considered when deciding on the appropriateness of adopting a new technology such as TagHelper tools. One major technical contribution of this work is a demonstration that an important piece of the work towards making text classification technology effective for this purpose is designing and building linguistic pattern detectors, otherwise known as features, that can be extracted reliably from texts and that have high predictive power for the categories of discourse actions that the CSCL community is interested in

BMQ

BMQ: Boston Medical Quarterly was published from 1950-1966 by the Boston University School of Medicine and the Massachusetts Memorial Hospitals

SHREC 2011: robust feature detection and description benchmark

Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.Comment: This is a full version of the SHREC'11 report published in 3DO

Optimal and Long-Term Dynamic Transport Policy Design: Seeking Maximum Social Welfare through a Pricing Scheme.

This article presents an alternative approach to the decision-making process in transport strategy design. The study explores the possibility of integrating forecasting, assessment and optimization procedures in support of a decision-making process designed to reach the best achievable scenario through mobility policies. Long-term evaluation, as required by a dynamic system such as a city, is provided by a strategic Land-Use and Transport Interaction (LUTI) model. The social welfare achieved by implementing mobility LUTI model policies is measured through a cost-benefit analysis and maximized through an optimization process throughout the evaluation period. The method is tested by optimizing a pricing policy scheme in Madrid on a cordon toll in a context requiring system efficiency, social equity and environmental quality. The optimized scheme yields an appreciable increase in social surplus through a relatively low rate compared to other similar pricing toll schemes. The results highlight the different considerations regarding mobility impacts on the case study area, as well as the major contributors to social welfare surplus. This leads the authors to reconsider the cost-analysis approach, as defined in the study, as the best option for formulating sustainability measures

The politics of the digital single market:Culture vs. competition vs. copyright

This paper examines the implications for European music culture of the European Union’s Digital Single Market strategy. It focuses on the regulatory framework being created for the management of copyright policy, and in particular the role played by Collective Management Organisations (or Collecting Societies). One of the many new opportunities created by digitalization has been the music streaming services. These depend on consumers being able to access music wherever they are, but such a system runs counter to the management of rights on a national basis and through collecting organisations who act as monopolies within their own territories. The result has been ‘geo-blocking’. The EU has attempted to resolve this problem in a variety of ways, most recently in a Directive designed to reform the CMOs. In this paper, we document these various efforts, showing them to be motivated by a deep-seated and persisting belief in the capacity of ‘competition’ to resolve problems that, we argue, actually lie elsewhere - in copyright policy itself. The result is that the EU’s intervention fails to address its core concern and threatens the diversity of European music culture by rewarding those who are already commercially successful

Assessment of energy efficiency and sustainability scenarios in the transport system

Background Energy Policy is one of the main drivers of Transport Policy. A number of strategies to reduce current energy consumption trends in the transport sector have been designed over the last decades. They include fuel taxes, more efficient technologies and changing travel behavior through demand regulation. But energy market has a high degree of uncertainty and the effectiveness of those policy options should be assessed. Methods A scenario based assessment methodology has been developed in the frame of the EU project STEPS. It provides an integrated view of Energy efficiency, environment, social and competitiveness impacts of the different strategies. It has been applied at European level and to five specific Regions. Concluding remarks The results are quite site specific dependent. However they show that regulation measures appear to be more effective than new technology investments. Higher energy prices could produce on their turn a deterioration of competitiveness and a threat for social goals