Scalable Unbalanced Optimal Transport using Generative Adversarial Networks

Generative adversarial networks (GANs) are an expressive class of neural generative models with tremendous success in modeling high-dimensional continuous measures. In this paper, we present a scalable method for unbalanced optimal transport (OT) based on the generative-adversarial framework. We formulate unbalanced OT as a problem of simultaneously learning a transport map and a scaling factor that push a source measure to a target measure in a cost-optimal manner. In addition, we propose an algorithm for solving this problem based on stochastic alternating gradient updates, similar in practice to GANs. We also provide theoretical justification for this formulation, showing that it is closely related to an existing static formulation by Liero et al. (2018), and perform numerical experiments demonstrating how this methodology can be applied to population modeling

De quelques catéchismes créoles anciens: oublis, pertes, disparitions, réapparitions, découvertes

Il existe, dans le très vaste domaine des études postcoloniales, des territoires contigus ou semblables qui connaissent des phénomènes communs mais aux histoires très différentes, sinon radicalement opposées : tels les catéchismes - en langues romanes - fruit de la colonisation. Plus précisément, à l’histoire des catéchismes issus de la colonisation hispano-américaine, s’oppose l’histoire des catéchismes issus de la colonisation française, de l’Amérique et d’ailleurs. Ces derniers arrivent un siècle et demi environ après les espagnols et se manifestent de tout autre manière ; différents en sont l’époque, la scène et les acteurs : les destinateurs mais surtout les destinataires. Ce travail se propose de retracer l’histoire souvent aventureuse des plus anciens catéchismes des colonies ou ex-colonies françaises de la Caraïbe et de l’Océan Indien ; écrits en créole ou, parfois, en d’autres langues autochtones, ils constituent aussi des témoignages linguistiques absolument précieux. Rédigés généralement sur place, mais non toujours publiés, leur histoire est faite d’oublis, pertes, disparitions, réapparitions et découvertes. - - - In the wide field of postcolonial studies, there exist related or similar areas whose stories are nevertheless very different, if not indeed opposed. This is the case of catechisms in Romance languages (or of Romance origin), outcomes of European colonization. In particular, contradictions between the history of catechisms from Hispanic-American colonization and the catechisms produced by French colonization, in America and elsewhere. The latter appear a century and a half after the Spanish texts, and exhibit completely distinct characteristics: different periods, settings, actors, and especially recipients. I set out to recount the often adventurous history of the oldest catechisms in the French colonies, or ex-colonies, of the Caribbean and the Indian Ocean. Written in Creole or sometimes other indigenous languages, they are precious linguistic records. Compiled in the colonies, but not always published, these texts are often forgotten, lost, misplaced, resurfaced, discovered

Consumer perceptions of co-branding alliances: Organizational dissimilarity signals and brand fit

This study explores how consumers evaluate co-branding alliances between dissimilar partner firms. Customers are well aware that different firms are behind a co-branded product and observe the partner firms’ characteristics. Drawing on signaling theory, we assert that consumers use organizational characteristics as signals in their assessment of brand fit and for their purchasing decisions. Some organizational signals are beyond the control of the co-branding partners or at least they cannot alter them on short notice. We use a quasi-experimental design and test how co-branding partner dissimilarity affects brand fit perception. The results show that co-branding partner dissimilarity in terms of firm size, industry scope, and country-of-origin image negatively affects brand fit perception. Firm age dissimilarity does not exert significant influence. Because brand fit generally fosters a benevolent consumer attitude towards a co-branding alliance, the findings suggest that high partner dissimilarity may reduce overall co-branding alliance performance

Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing

Given the severity of the SARS-CoV-2 pandemic, a major challenge is to rapidly repurpose existing approved drugs for clinical interventions. While a number of data-driven and experimental approaches have been suggested in the context of drug repurposing, a platform that systematically integrates available transcriptomic, proteomic and structural data is missing. More importantly, given that SARS-CoV-2 pathogenicity is highly age-dependent, it is critical to integrate aging signatures into drug discovery platforms. We here take advantage of large-scale transcriptional drug screens combined with RNA-seq data of the lung epithelium with SARS-CoV-2 infection as well as the aging lung. To identify robust druggable protein targets, we propose a principled causal framework that makes use of multiple data modalities. Our analysis highlights the importance of serine/threonine and tyrosine kinases as potential targets that intersect the SARS-CoV-2 and aging pathways. By integrating transcriptomic, proteomic and structural data that is available for many diseases, our drug discovery platform is broadly applicable. Rigorous in vitro experiments as well as clinical trials are needed to validate the identified candidate drugs.ISSN:2041-172

Multi-domain translation between single-cell imaging and sequencing data using autoencoders

The development of single-cell methods for capturing different data modalities including imaging and sequencing has revolutionized our ability to identify heterogeneous cell states. Different data modalities provide different perspectives on a population of cells, and their integration is critical for studying cellular heterogeneity and its function. While various methods have been proposed to integrate different sequencing data modalities, coupling imaging and sequencing has been an open challenge. We here present an approach for integrating vastly different modalities by learning a probabilistic coupling between the different data modalities using autoencoders to map to a shared latent space. We validate this approach by integrating single-cell RNA-seq and chromatin images to identify distinct subpopulations of human naive CD4+ T-cells that are poised for activation. Collectively, our approach provides a framework to integrate and translate between data modalities that cannot yet be measured within the same cell for diverse applications in biomedical discovery.ISSN:2041-172

Цветэ тэрэн, а листьев не мае

Цветэ тэрэн, а листьев не мае, / Кто з любовью не знается, / Той гора не знае. / А я молода дивчина, / Дай гора познала. / Вечераньки не доела, / Ночку не доспала. / Не доспала, не доспала / И не буду спаты

Highly crystalline multimetallic nanoframes with three-dimensional electrocatalytic surfaces.

Control of structure at the atomic level can precisely and effectively tune catalytic properties of materials, enabling enhancement in both activity and durability. We synthesized a highly active and durable class of electrocatalysts by exploiting the structural evolution of platinum-nickel (Pt-Ni) bimetallic nanocrystals. The starting material, crystalline PtNi3 polyhedra, transforms in solution by interior erosion into Pt3Ni nanoframes with surfaces that offer three-dimensional molecular accessibility. The edges of the Pt-rich PtNi3 polyhedra are maintained in the final Pt3Ni nanoframes. Both the interior and exterior catalytic surfaces of this open-framework structure are composed of the nanosegregated Pt-skin structure, which exhibits enhanced oxygen reduction reaction (ORR) activity. The Pt3Ni nanoframe catalysts achieved a factor of 36 enhancement in mass activity and a factor of 22 enhancement in specific activity, respectively, for this reaction (relative to state-of-the-art platinum-carbon catalysts) during prolonged exposure to reaction conditions

Solving the Supply of Resveratrol Tetramers from Papua New Guinean Rainforest <i>Anisoptera</i> Species That Inhibit Bacterial Type III Secretion Systems

The supply of (−)-hopeaphenol (<b>1</b>) was achieved via enzymatic biotransformation in order to provide material for preclinical investigation. High-throughput screening of a prefractionated natural product library aimed to identify compounds that inhibit the bacterial virulence type III secretion system (T3SS) identified several fractions derived from two Papua New Guinean <i>Anisoptera</i> species, showing activity against <i>Yersinia pseudotuberculosis</i> outer proteins E and H (YopE and YopH). Bioassay-directed isolation from the leaves of <i>A. thurifera</i>, and similarly <i>A</i>. <i>polyandra</i>, resulted in three known resveratrol tetramers, (−)-hopeaphenol (<b>1</b>), vatalbinoside A (<b>2</b>), and vaticanol B (<b>3</b>). Compounds <b>1</b>–<b>3</b> displayed IC₅₀ values of 8.8, 12.5, and 9.9 μM in a luminescent reporter-gene assay (YopE) and IC₅₀ values of 2.9, 4.5, and 3.3 μM in an enzyme-based YopH assay, respectively, which suggested that they could potentially act against the T3SS in <i>Yersinia</i>. The structures of <b>1</b>–<b>3</b> were confirmed through a combination of spectrometric, chemical methods, and single-crystal X-ray structure determinations of the natural product <b>1</b> and the permethyl ether analogue of <b>3</b>. The enzymatic hydrolysis of the β-glycoside <b>2</b> to the aglycone <b>1</b> was achieved through biotransformation using the endogenous leaf enzymes. This significantly enhanced the yield of the target bioactive natural product from 0.08% to 1.3% and facilitates ADMET studies of (−)-hopeaphenol (<b>1</b>)