Miracle-dz/UniFAR-FTUs huggingface dataset:
The Dynamics of Firms’ Product Portfolio in Response to Low-Cost Country Competition: An Empirical Assessment

We rely on a new dataset containing detailed information about firm level productiondecomposition and innovation activities in order to investigate whether the observed aggregatereallocation of French production may be driven (at least partly) by firm level product portfoliostrategies, in particular when firms experience a high competitive pressure arising from low-costcountries. Using an instrumental variable strategy, we obtain that firms experiencing a high lowcostcountry competitive pressure are significantly more diversified in their productions, and areinvolved in (either) more frequent or higher reallocation of their product portfolios towardsproducts they were not previously producing. Further analysis shows that more productive firmsonly are able to introduce true product innovations, which may explain why they achieve highersurvival rates.
Existence and Newtonian limit of nonlinear bound states in the Einstein–Dirac system

An analysis is given of particlelike nonlinear bound states in the Newtonian limit of the coupled Einstein–Dirac system introduced by Finster et al. [“Particle-like solutions of the Einstein-Dirac-Maxwell equations,” Phys. Lett. A 259, 431 (1999)]. A proof is given of the existence of these bound states in the almost Newtonian regime, and it is proven that they may be approximated by the energy minimizing solution of the Newton–Schrodinger system obtained by Lieb.
Handling of Radical Prostatectomy Specimens: Total Embedding with Large-Format Histology

A problem when handling radical prostatectomy specimens (RPS) is that cancer is often not visible at gross examination, and the tumor extent is always underestimated by the naked eye. The challenge is increased further by the fact that prostate cancer is a notoriously multifocal and heterogeneous tumor. For the pathologist, the safest method to avoid undersampling of cancer is evidently that the entire prostate is submitted. Even though whole mounts of sections from RPS appear not to be superior to sections from standard blocks in detecting adverse pathological features, their use has the great advantage of displaying the architecture of the prostate and the identification and location of tumour nodules more clearly, with particular reference to the index tumour; further, it is easier to compare the pathological findings with those obtained from digital rectal examination (DRE), transrectal ultrasound (TRUS), and prostate biopsies. We are in favour of complete sampling of the RPS examined with the whole mount technique. There are reasons in favour and a few drawbacks. Its implementation does not require an additional amount of work from the technicians' side. It gives further clinical significance to our work of uropathologists.
Evolutionary sensemaking in Enterprise Applications Implementation: Insights from a State-Owned Enterprise in China

The successful implementation of Enterprise Applications (EAs) hinges on a process of organizational sensemaking that enables the focal organization to gain an understanding of the unique contextual issues within and surrounding the organization, and continuously monitor and re-interpret these issues so that the approach to EA implementation can be modified or re-aligned accordingly. Yet, little attention has been paid to the examination of this process of organizational sensemaking. Using a case study of the EA implementation journey of Shanghai Tobacco Corporation, the purpose of this paper is to examine the nature of organizational sensemaking in EA implementation in the context of a dynamic environment, and its implications for the nature and outcome of EA implementation. With its findings, this study contributes to the theoretical discourse on EA implementation by constructing a model of the sensemaking process, and provides indications to practice on the effective implementation of EAs.
Community responsive literacies: the development of the Ethnic Studies Praxis Story Plot

Purpose Momentum around the institutionalization of Ethnic Studies in US K-12 classrooms is increasing. Opponents have argued that Ethnic Studies does not challenge students academically and prepare them for high stakes testing (Planas, 2012; Sanchez, 2007). Conversely, research continues to show ways Ethnic Studies contribute to students’ academic achievement, especially for students from marginalized and vulnerable communities (Cabrera et al., 2014; Halagao, 2010; Tintiangco-Cubales et al., 2015). This study aims to demonstrate the possibilities and potential of Ethnic Studies-framed tools for English and Language arts teachers. This moment concerning Ethnic Studies in schools illuminates an important opportunity to demonstrate how Ethnic Studies-framed tools positively affect learning mainstream school content, namely, English and Language Arts. The authors consider the following point: To what extent can Ethnic Studies-framed tools affect approaches for learning English, writing and reading while simultaneously being responsive to a community’s needs? The authors maintain the importance of such tools that exist in how they support the development of community responsive literacies (CRLs). Design/methodology/approach This paper examines CRLs through the Ethnic Studies Praxis Story Plot (ESPSP). The authors begin by exploring the development of the ESPSP, first used in Pin@y Educational Partnerships (PEP), an innovative K-college Ethnic Studies teaching pipeline. Next, the authors examine each coordinate of the ESPSP, examining their purpose, theoretical underpinnings and ways the ESPSP offers nuanced approaches for learning literacies. Findings The authors then discuss how CRLs emerged to support PEP teachers and students’ reading and writing skills using the ESPSP. Originality/value Finally, the authors learn from students’ experiences with the ESPSP and offer implications for English and Language Arts teachers in the pursuit of teaching and serving students in more socially just and community responsive ways.
Application of Neural Networks to Soil Moisture Retrievals from L-Band Radiometric Data

Many algorithms for retrieving geophysical variables are based on optimal estimation approaches, which can be time consuming specially if a large amount of data is to be processed. On its part, neural networks provide results almost in real time, but their use is still not generalised for remote sensing applications. In this work, a set of neural networks was trained with simulations using numerical land emission models and tested using L-band radiometric data of bare soils acquired during the T-REX and MOUSE field experiments. Soil moisture retrieved by the neural networks was then compared to ground-truth data.
Autoantibodies to Neutrophils : ANCAs and Atypical

Inflammatory bowel disease (IBD) is an enduring disease involving mostly young people, with symptoms of bloody diarrhea and abdominal cramps. Several antibodies have been associated with IBD, the 2 most comprehensively studied being autoantibodies to neutrophils (atypical perinuclear anti-neutrophil cytoplasmic antibodies) and anti-Saccharomyces cerevisiae antibodies. This review focuses on the value of these antibodies for diagnosing IBD, differentiating Crohn disease from ulcerative colitis, indeterminate colitis, monitoring disease, defining clinical phenotypes, predicting response to therapy, and as subclinical markers. Pancreatic antibodies and newly identified anti-microbial antibodies (anti-outer membrane porin C, anti-I2, and anti-flagellin) are also reviewed. © 2006 American Association for Clinical Chemistry
Neuronal DNA content variation (DCV) with regional and individual differences in the human brain

It is widely assumed that the human brain contains genetically identical cells through which postgenomic mechanisms contribute to its enormous diversity and complexity. The relatively recent identification of neural cells throughout the neuraxis showing somatically generated mosaic aneuploidy indicates that the vertebrate brain can be genomically heterogeneous (Rehen et al. [2001] Proc. Natl. Acad. Sci. U. S. A. 98:13361–13366; Rehen et al. [2005] J. Neurosci. 25:2176–2180; Yurov et al. [2007] PLoS ONE:e558; Westra et al. [2008] J. Comp. Neurol. 507:1944–1951). The extent of human neural aneuploidy is currently unknown because of technically limited sample sizes, but is reported to be small (Iourov et al. [2006] Int. Rev. Cytol. 249:143–191). During efforts to interrogate larger cell populations by using DNA content analyses, a surprising result was obtained: human frontal cortex brain cells were found to display “DNA content variation (DCV)” characterized by an increased range of DNA content both in cell populations and within single cells. On average, DNA content increased by ∼250 megabases, often representing a substantial fraction of cells within a given sample. DCV within individual human brains showed regional variation, with increased prevalence in the frontal cortex and less variation in the cerebellum. Further, DCV varied between individual brains. These results identify DCV as a new feature of the human brain, encompassing and further extending genomic alterations produced by aneuploidy, which may contribute to neural diversity in normal and pathophysiological states, altered functions of normal and disease‐linked genes, and differences among individuals. J. Comp. Neurol. 518:3981–4000, 2010. © 2010 Wiley‐Liss, Inc.
The cytoskeletal mechanisms of cell–cell junction formation in endothelial cells

Cell–cell contact is initiated by lamellipodia, followed by filopodia-like structure formation. Filopodia-like bridges maintain cell–cell contact through adherens junctions. Although bridges are structurally similar to filopodia, they are formed via a unique mechanism. Myosin II activity is important for bridge formation and cadherin accumulation.
Multipath Channel Model in Underground Mining UWB LOS Environments

According to the channel pulse response of double-cluster arrival phenomena, measured by actual mine UWB(Ultra-Wide band), the IEEE 802.15. 3a indoor multipath model is modified to the LOS double-cluster semi-deterministic statistical model. The determinate part of the model depends on the propagation environments, which makes effective use of geometric parameters data of specific environments, and the statistical part can be obtained from the testing data. In this paper, we show a detailed introduction about the determination of model parameters and calculation process, and obtain that the channel characteristics are similar to the actual environments based on the model. What's more, we analyze the signal band impact on the RMS delay spread, a conclusion is given that the greater the bandwidth is, the smaller the RMS delay spread will be. The simulation results show that the semi-deterministic statistical model has a greater advantage than traditional single form of statistical model and deterministic model in predicting indoor and underground gallery specific environment small-scale characteristics, because it has high accuracy and is easy to use.
KV7/M Channels Mediate Osmotic Modulation of Intrinsic Neuronal Excitability

Modest decreases in extracellular osmolarity induce brain hyperexcitability that may culminate in epileptic seizures. At the cellular level, moderate hyposmolarity markedly potentiates the intrinsic neuronal excitability of principal cortical neurons without significantly affecting their volume. The most conspicuous cellular effect of hyposmolarity is converting regular firing neurons to burst-firing mode. This effect is underlain by hyposmotic facilitation of the spike afterdepolarization (ADP), but its ionic mechanism is unknown. Because blockers of KV7 (KCNQ) channels underlying neuronal M-type K+ currents (KV7/M channels) also cause spike ADP facilitation and bursting, we hypothesized that lowering osmolarity inhibits these channels. Using current- and voltage-clamp recordings in CA1 pyramidal cells in situ, we have confirmed this hypothesis. Furthermore, we show that hyposmotic inhibition of KV7/M channels is mediated by an increase in intracellular Ca2+ concentration via release from internal stores but not via influx of extracellular Ca2+. Finally, we show that interfering with internal Ca2+-mediated inhibition of KV7/M channels entirely protects against hyposmotic ADP facilitation and bursting, indicating the exclusivity of this novel mechanism in producing intrinsic neuronal hyperexcitability in hyposmotic conditions.
Continuous ensembles and the $\chi$-capacity of infinite-dimensional channels

The paper is devoted to systematic study of the $\chi$-capacity (underlying the classical capacity) of infinite dimensional quantum channels. An essential feature of this case is the natural appearance of the input constraints and infinite, in general, ``continuous'' state ensembles, defined as probability measures on the set of all quantum states. By using compactness criteria from probability theory and operator theory it is shown that the set of all generalized ensembles with the average (barycenter) in a compact set of states is itself a compact subset of the set of all probability measures. With this in hand we give a sufficient condition for the existence of an optimal generalized ensemble for a constrained quantum channel. This condition can be verified in the case of Bosonic Gaussian channels with constrained mean energy. The importance of the above condition is shown by considering example of a constrained channel with no optimal generalized ensemble. In the case of convex constraints a characterization of the optimal generalized ensemble is obtained extending the `` maximal distance'' property.
Positive Low-Rank Tensor Completion

Motivated by combinatorial regression problems (which we interpret as low-rank tensor completion), we study noisy completion for positive tensors. Existing approaches convert this into matrix completion, but this is unable to achieve the best statistical rates possible. Here, we show that a specific class of low-rank tensors (namely those parametrized as continuous extensions of hierarchical log-linear models) are amenable to efficient computation (with appropriate choice of risk function) and lead to consistent estimation procedures in which hard-thresholding is used to estimate the low-rank structure in the tensor. Also, recent research has shown that approaches using different convex regularizers to exploit multiple sparse structures are unable to simultaneously exploit all structures; we show that combining hard- and soft-thresholding can provide one computationally tractable solution to this in the case of low-rank and sparse tensor completion. Numerical examples with synthetic data and data from a bioengineered metabolic network show that our estimation procedures are competitive with existing approaches to tensor completion.
Drivers for Customer Perceived Software Quality

Predicting software quality as perceived by a customer may allow an organization to adjust deployment to meet the quality expectations of its customers, to allocate the appropriate amount of maintenance resources, and to help direct quality improvement efforts to maximize return on investment. However, customer perceived quality may be affected not simply by the software content and the development process, but also by a number of other factors including deployment issues, amount of usage, software platforms and hardware configurations. We predict customer perceived quality as measured by various service interactions, including software defect reports, request for assistance, and field technician dispatches using the afore mentioned and other factors for a large software system. We employ the non-intrusive data gathering technique of using existing data captured in automated project monitoring and tracking systems as well as customer support and tracking systems. We find that the effect of deployment schedule, hardware platform, and software configurations can increase the probability of observing failures more that 20 times, Furthermore, we found that the factors affected all quality measures in similar fashion. Our theoretical model could be applied at other organizations, and we suggest methods to independently validate and replicate our results.
Probing black holes in nonperturbative gauge theory

We use a 0-brane to probe a ten-dimensional near-extremal black hole with N units of 0-brane charge. We work directly in dual strongly coupled quantum mechanics, using mean-field methods to describe the black hole background nonperturbatively. We obtain the distribution of W boson masses, and find a clear separation between light and heavy degrees of freedom. To localize the probe we introduce a resolving time and integrate out the heavy modes. After a nontrivial change of coordinates, the effective potential for the probe agrees with supergravity expectations. We compute the entropy of the probe, and find that the stretched horizon of the black hole arises dynamically in quantum mechanics, as thermal restoration of unbroken $U(N+1)$ gauge symmetry. Our analysis of quantum mechanics predicts the correct relation between the horizon radius and entropy of a black hole.
The Jones polynomial and dessins d'enfant

The Jones polynomial of an alternating link is a certain specialization of the Tutte polynomial of the (planar) checkerboard graph associated to an alternating projection of the link. The Bollobás–Riordan–Tutte polynomial generalizes the Tutte plolynomial of planar graphs to graphs that are embedded in closed surfaces of higher genus (i.e. dessins d’enfant). In this paper we show that the Jones polynomial of any link can be obtained from the Bollobás–Riordan–Tutte polynomial of a certain dessin associated to a link projection. We give some applications of this approach.
Varroa destructor (Mesostigmata: Varroidae) Parasitism and Climate Differentially Influence the Prevalence, Levels, and Overt Infections of Deformed Wing Virus in Honey Bees (Hymenoptera: Apidae)

The prevalence and loads of deformed wing virus (DWV) between honey bee (Apis mellifera L.) colonies from a tropical and a temperate environment were compared. The interaction between these environments and the mite Varroa destructor in relation to DWV prevalence, levels, and overt infections, was also analyzed. V. destructor rates were determined, and samples of mites, adult bees, brood parasitized with varroa mites and brood not infested by mites were analyzed. DWV was detected in 100% of the mites and its prevalence and loads in honey bees were significantly higher in colonies from the temperate climate than in colonies from the tropical climate. Significant interactions were found between climate and type of sample, with the highest levels of DWV found in varroa-parasitized brood from temperate climate colonies. Additionally, overt infections were observed only in the temperate climate. Varroa parasitism and DWV loads in bees from colonies with overt infections were significantly higher than in bees from colonies with covert infections. These results suggest that interactions between climate, V. destructor, and possibly other factors, may play a significant role in the prevalence and levels of DWV in honey bee colonies, as well as in the development of overt infections. Several hypotheses are discussed to explain these results.
The relationship between monochronicity, polychronicity and individual characteristics

With the increasing complexity of control rooms and the information explosion, effective multitasking is now desired. Monochronicity and polychronicity, which describe a person's ability to do one thing and many things at a time, respectively, have been studied for a long time. However, it is not clear these abilities are related to various individual characteristics. Forty-eight Chinese participants were tested on their perception, memory, judgement, attention ability and cognitive style. They also performed a task that required search and calculation under three conditions of unpaced, paced and paced with sequencing. There were significant differences in the performance and strategy between monochronic and polychronic individuals in the selective attention test. Monochronic individuals focused their attention on the primary task and achieved higher performance. Polychronic individuals had somewhat better total performance in more than one task under time-constrained conditions. The results clearly indicate that an individual's time use behaviours ought to be considered in training and control scenarios to account for differences among people.
TypeSan: Practical Type Confusion Detection

The low-level C++ programming language is ubiquitously used for its modularity and performance. Typecasting is a fundamental concept in C++ (and object-oriented programming in general) to convert a pointer from one object type into another. However, downcasting (converting a base class pointer to a derived class pointer) has critical security implications due to potentially different object memory layouts. Due to missing type safety in C++, a downcasted pointer can violate a programmer's intended pointer semantics, allowing an attacker to corrupt the underlying memory in a type-unsafe fashion. This vulnerability class is receiving increasing attention and is known as type confusion (or bad-casting). Several existing approaches detect different forms of type confusion, but these solutions are severely limited due to both high run-time performance overhead and low detection coverage. This paper presents TypeSan, a practical type-confusion detector which provides both low run-time overhead and high detection coverage. Despite improving the coverage of state-of-the-art techniques, TypeSan significantly reduces the type-confusion detection overhead compared to other solutions. TypeSan relies on an efficient per-object metadata storage service based on a compact memory shadowing scheme. Our scheme treats all the memory objects (i.e., globals, stack, heap) uniformly to eliminate extra checks on the fast path and relies on a variable compression ratio to minimize run-time performance and memory overhead. Our experimental results confirm that TypeSan is practical, even when explicitly checking almost all the relevant typecasts in a given C++ program. Compared to the state of the art, TypeSan yields orders of magnitude higher coverage at 4--10 times lower performance overhead on SPEC and 2 times on Firefox. As a result, our solution offers superior protection and is suitable for deployment in production software. Moreover, our highly efficient metadata storage back-end is potentially useful for other defenses that require memory object tracking.
Parent Expectations in the Treatment of Children with ADHD

Project tricksyard.com has many thousands of free and legal books to download in PDF as well as many other formats. Project is a high quality resource for free Books books.Just search for the book you love and hit Quick preview or Quick download. You have the option to browse by most popular titles, recent reviews, authors, titles, genres, languages and more.Look here for bestsellers, favorite classics and more.This library catalog is an open online project of many sites, and allows users to contribute books. No need to download anything, the stories are readable on their site.