Partition "large" black holes into seven inequivalent families

In [Phys. Rev. Lett. 105, 100507 (2010)], Borsten et al. derived 31 entanglement families of four qubits by using the black-hole vs. qubit correspondence, which can be reduced to nine up to permutation of the four qubits under stochastic local operations and classical communication (SLOCC). In this paper, we investigate the classification of "large" black holes by using the local unitary operator (LU) entanglement classification of three qubits. We relate the LU entanglement classes of the GHZ SLOCC class of three qubits to different classes of "large" black holes. Thus, we partition "large" black holes into seven inequivalent families. We show that between two black holes with four non-vanishing charges $q_{0}$, $p^{1}$, $p^{2}$, and $p^{3}$, if the only difference is the signs of the charges, then they are LU equivalent. Thus, the partition of black holes is independent of the signs of the charges and is only related to the ratio of the absolute charges

Endoplasmic reticulum-associated biomarkers for molecular phenotyping of rare kidney disease

The endoplasmic reticulum (ER) is the central site for folding, post-translational modifications, and transport of secretory and membrane proteins. An imbalance between the load of misfolded proteins and the folding capacity of the ER causes ER stress and an unfolded protein response. Emerging evidence has shown that ER stress or the derangement of ER proteostasis contributes to the development and progression of a variety of glomerular and tubular diseases. This review gives a comprehensive summary of studies that have elucidated the role of the three ER stress signaling pathways, including inositol-requiring enzyme 1 (IRE1), protein kinase R-like ER kinase (PERK), and activating transcription factor 6 (ATF6) signaling in the pathogenesis of kidney disease. In addition, we highlight the recent discovery of ER-associated biomarkers, including MANF, ERdj3, ERdj4, CRELD2, PDIA3, and angiogenin. The implementation of these novel biomarkers may accelerate early diagnosis and therapeutic intervention in rare kidney disease

Subsidiary divestiture and acquisition in a financial crisis: Operational focus, financial constraints, and ownership

We exploit parent- and subsidiary-level data for publicly listed firms in Thailand before, during, and after the 1997 Asian Financial Crisis to investigate the extent to which firms with different types of ownership restructure their business portfolios, in terms of divestitures and acquisitions. We compare restructuring choices made by firms mostly owned by (a) domestic individuals with block shares (family firms), (b) domestic firms and/or institutions (DI firms), and (c) foreign investors (foreign firms). We show that following the crisis (1) foreign firms' restructuring behavior is the least affected; (2) domestic firms owned by families and domestic institutions (DI) behave similarly to one another; (3) domestic firms do not increase divestiture in their peripheral segments to improve operational focus or to obtain cash in a credit crunch; they actually reduce divestiture in core segments; and (4) domestic firms also significantly reduce the acquisition of new subsidiaries. Our results challenge traditional explanations for divestiture such as corporate governance, operational refocus, and financial constraints. They indicate that in the great uncertainty of a crisis, domestic firms are able to hold onto their core assets to avoid fire-sale. In essence, they act more conservatively in churning their business portfolios

Generative modeling of nucleon-nucleon interactions

Developing high-precision models of the nuclear force and propagating the associated uncertainties in quantum many-body calculations of nuclei and nuclear matter remain primary challenges for ab initio nuclear theory. In the present work we develop a generative machine learning model for constructing nuclear potentials that will allow for a more complete estimation of statistical uncertainties arising from the arbitrary choice of nuclear interaction and resolution scale. We train the generative model on nucleon-nucleon potentials derived from chiral effective field theory at three different choices of the resolution scale. We then show that the model can be used to generate novel samples of the nucleon-nucleon potential drawn from a continuous distribution in the resolution scale parameter space. The generated potentials are shown to produce high-quality nucleon-nucleon scattering phase shifts.Comment: 6 pages, 4 figure

Eastwei: A Knowledge-Based Value Shop

Knowledge management (KM) has been the focus of comprehensive research over the last two decades, with particular attention paid to the related technology. However, relatively little attention has been paid to the embedding of KM into day-to-day business operations in order to mobilize resources and activities so as to create substantial value for customers. In this paper, we investigate knowledge management practices by applying the concept of the value shop to the case of Eastwei, a professional services firm in China. We explain how Eastwei functions as a Knowledge-based Value Shop (KBVS), creating and disseminating knowledge as it fulfils its obligations with clients. We find that guanxi, a fundamental concept for Chinese society that incorporates personal relationships and reciprocal obligations, plays a significant role in Eastwei’s KBVS arrangements. Given the importance of guanxi, we then discuss how we have set about developing a knowledge-centred strategic direction at Eastwei, drawing on both current knowledge sharing practices and the possibilities offered by instant messaging and wiki technologies

Body size trends in response to climate and urbanization in the widespread North American deer mouse, Peromyscus maniculatus

© 2020, The Author(s). Body size decline is hypothesized to be a key response to climate warming, including warming driven by urban heat islands. However, urbanization may also generate selective gradients for body size increases in smaller endotherms via habitat fragmentation. Here we utilize a densely sampled, multi-source dataset to examine how climate and urbanization affect body size of Peromyscus maniculatus (PEMA), an abundant rodent found across North America. We predicted PEMA would conform to Bergmann’s Rule, e.g. larger individuals in colder climates, spatially and temporally. Hypotheses regarding body size in relation to urbanization are less clear; however, with increased food resources due to greater anthropogenic activity, we expected an increase in PEMA size. Spatial mixed-models showed that PEMA conform to Bergmann’s Rule and that PEMA were shorter in more urbanized areas. With the inclusion of decade in mixed-models, we found PEMA mass, but not length, is decreasing over time irrespective of climate or population density. We also unexpectedly found that, over time, smaller-bodied populations of PEMA are getting larger, while larger-bodied populations are getting smaller. Our work highlights the importance of using dense spatiotemporal datasets, and modeling frameworks that account for bias, to better disentangle broad-scale climatic and urbanization effects on body size

Leveraging Rich Communication Tools: Evidence of Online Trust and Guanxi in China

Driven by the evolution of consumer-to-consumer (C2C) online marketplaces, we examine the role of communication tools (i.e., an instant messenger, internal message box and a feedback system), in facilitating dyadic online transactions in the Chinese C2C marketplace. Integrating the Chinese concept of guanxi with theories of social translucence and social presence, we introduce a structural model that explains how rich communication tools influence a website’s interactivity and presence, subsequently building trust and guanxi among buyers and sellers, and ultimately predicting buyers’ repurchase intentions. The data collected from 185 buyers in TaoBao, China’s leading C2C online marketplace, strongly support the proposed model. We believe that this research is the first formal study to show evidence of guanxi in online C2C marketplaces, and it is attributed to the role of communication tools to enhance a website’s interactivity and presence