pinecone/core-2020-05-10-deduplication huggingface dataset:
Angular analysis and differential branching fraction of the decay
  $B^0_s\to\phi\mu^+\mu^-$

An angular analysis and a measurement of the differential branching fraction
of the decay $B^0_s\to\phi\mu^+\mu^-$ are presented, using data corresponding
to an integrated luminosity of $3.0\, {\rm fb^{-1}}$ of $pp$ collisions
recorded by the LHCb experiment at $\sqrt{s} = 7$ and $8\, {\rm TeV}$.
Measurements are reported as a function of $q^{2}$, the square of the dimuon
invariant mass and results of the angular analysis are found to be consistent
with the Standard Model. In the range $1<q^2<6\, {\rm GeV}^{2}/c^{4}$, where
precise theoretical calculations are available, the differential branching
fraction is found to be more than $3\,\sigma$ below the Standard Model
predictions
Physical states in the canonical tensor model from the perspective of random tensor networks

Tensor models, generalization of matrix models, are studied aiming for quantum gravity in dimensions larger than two. Among them, the canonical tensor model is formulated as a totally constrained system with first-class constraints, the algebra of which resembles the Dirac algebra of general relativity. When quantized, the physical states are defined to be vanished by the quantized constraints. In explicit representations, the constraint equations are a set of partial differential equations for the physical wave-functions, which do not seem straightforward to be solved due to their non-linear character. In this paper, after providing some explicit solutions for N = 2, 3, we show that certain scale-free integration of partition functions of statistical systems on random networks (or random tensor networks more generally) provides a series of solutions for general N. Then, by generalizing this form, we also obtain various solutions for general N. Moreover, we show that the solutions for the cases with a cosmological constant can be obtained from those with no cosmological constant for increased N. This would imply the interesting possibility that a cosmological constant can always be absorbed into the dynamics and is not an input parameter in the canonical tensor model. We also observe the possibility of symmetry enhancement in N = 3, and comment on an extension of Airy function related to the solutions
Multi-Label Simple Points Definition for 3D Images Digital Deformable Model

International audienceThe main contribution of this paper is the definition of multi-label simple points that ensures that the partition topology remains invariant during a deformable partition process. The definition is based on simple intervoxel properties and is easy to implement. A deformation process is carried out with a greedy energy minimization algorithm. A discrete area estimator is used to approach at best standard regularizers classically used in continuous energy minimizing methods. The effectiveness of our approach is shown on several 3D image segmentations
The Entwinement Logic of Practices

Part 2: Ethnographic Accounts of IS UseInternational audienceThis paper seeks to place the phenomenon of technology within the context of everyday practices using the logic of practical rationality. We draw some insights from our ethnography of young professionals and shed light on their everyday technological practices by invoking the concept of entwinement from hermeneutic phenomenology. Our findings reveal that the new generation users are becoming intimately entwined with information technologies in their everyday practices. Our study contributes toward the ongoing debate concerning the theorizing of technology and its relationship to practice
Parameterized Lower Bound and NP-Completeness of Some H-Free Edge Deletion Problems

For a graph H, the H-free Edge Deletion problem asks whether there exist at most k edges whose deletion from the input graph G results in a graph without any induced copy of H. We prove that H-free Edge Deletion is NP-complete if H is a graph with at least two edges and H has a component with maximum number of vertices which is a tree or a regular graph. Furthermore, we obtain that these NP-complete problems cannot be solved in parameterized subexponential time, i.e., in time 2o(k)⋅|G|O(1), unless Exponential Time Hypothesis fails
CD271 Mediates Stem Cells to Early Progeny Transition in Human Epidermis

CD271 is the low-affinity neurotrophin (p75NTR) receptor that belongs to the tumor necrosis factor receptor superfamily. Because in human epidermis, CD271 is predominantly expressed in transit-amplifying (TA) cells, we evaluated the role of this receptor in keratinocyte differentiation and in the transition from keratinocyte stem cells (KSCs) to progeny. Calcium induced an upregulation of CD271 in subconfluent keratinocytes, which was prevented by CD271 small interfering RNA. Furthermore, CD271 overexpression provoked the switch of KSCs to TA cells, whereas silencing CD271 induced TA cells to revert to a KSC phenotype, as shown by the expression of β1-integrin and by the increased clonogenic ability. CD271(+) keratinocytes sorted from freshly isolated TA cells expressed more survivin and keratin 15 (K15) compared with CD271(-) cells and displayed a higher proliferative capacity. Early differentiation markers and K15 were more expressed in the skin equivalent generated from CD271(+) TA than from those derived from CD271(-) TA cells. By contrast, late differentiation markers were more expressed in skin equivalents from CD271(-) than in reconstructs from CD271(+) TA cells. Finally, skin equivalents originated from CD271(-) TA cells displayed a psoriatic phenotype. These results indicate that CD271 is critical for keratinocyte differentiation and regulates the transition from KSCs to TA cells
Wave functions of composite hadron states and relationship to couplings of scattering amplitudes for general partial waves

In this paper we present the connection between scattering amplitudes in momentum space and wave functions in coordinate space, generalizing previous work done for s-waves to any partial wave. The relationship to the wave function of the residues of the scattering amplitudes at the pole of bound states or resonances is investigated in detail. A sum rule obtained for the couplings provides a generalization to coupled channels, any partial wave and bound or resonance states, of Weinberg's compositeness condition, which was only valid for weakly bound states in one channel and s-wave. An example, requiring only experimental data, is shown for the ρ meson indicating that it is not a composite particle of ππ but something else
MicroRNA Expression Profiling and DNA Methylation Signature for Deregulated MicroRNA in Cutaneous T-Cell Lymphoma

MicroRNAs usually regulate gene expression negatively, and aberrant expression has been involved in the development of several types of cancers. Microarray profiling of microRNA expression was performed to define a microRNA signature in a series of mycosis fungoides tumor stage (MFt, n=21) and CD30+ primary cutaneous anaplastic large cell lymphoma (CD30+ cALCL, n=11) samples in comparison with inflammatory dermatoses (ID, n=5). Supervised clustering confirmed a distinctive microRNA profile for cutaneous T-cell lymphoma (CTCL) with respect to ID. A 40 microRNA signature was found in MFt including upregulated onco-microRNAs (miR-146a, miR-142-3p/5p, miR-21, miR-181a/b, and miR-155) and downregulated tumor-suppressor microRNAs (miR-200ab/429 cluster, miR-10b, miR-193b, miR-141/200c, and miR-23b/27b). Regarding CD30+ cALCL, 39 differentially expressed microRNAs were identified. Particularly, overexpression of miR-155, miR-21, or miR-142-3p/5p and downregulation of the miR-141/200c clusters were observed. DNA methylation in microRNA gene promoters, as expression regulatory mechanism for deregulated microRNAs, was analyzed using Infinium 450K array and approximately one-third of the differentially expressed microRNAs showed significant DNA methylation differences. Two different microRNA methylation signatures for MFt and CD30+ cALCL were found. Correlation analysis showed an inverse relationship for microRNA promoter methylation and microRNA expression. These results reveal a subgroup-specific epigenetically regulated microRNA signatures for MFt and CD30+ cALCL patients
Taking Aim at Moving Targets in Computational Cell Migration

Cell migration is central to the development and maintenance of multicellular organisms. Fundamental understanding of cell migration can, for example, direct novel therapeutic strategies to control invasive tumor cells. However, the study of cell migration yields an overabundance of experimental data that require demanding processing and analysis for results extraction. Computational methods and tools have therefore become essential in the quantification and modeling of cell migration data. We review computational approaches for the key tasks in the quantification of in vitro cell migration: image pre-processing, motion estimation and feature extraction. Moreover, we summarize the current state-of-the-art for in silico modeling of cell migration. Finally, we provide a list of available software tools for cell migration to assist researchers in choosing the most appropriate solution for their needs
Human papillomavirus in oral squamous cells carcinoma in a population of 75 Brazilian patients

Purpose: In the present study, we investigated the presence of human papillomavirus (HPV) DNA and viral types in 75 cases of oral squamous cells carcinoma from Brazil to obtain data that would contribute to a better understanding of the role of HPV in the pathogenesis of this tumor. Materials and methods: DNA was extracted from paraffin-embedded tissue and amplified by polymerase chain reaction using a pair of primers designated PCO3+ and PCO4+ for the detection of a fragment of the human h-globin gene, followed by polymerase chain reaction for the detection of HPV DNA using a pair of generic primers, GP5+ and GP6+. Viral typing was performed by dot blot hybridization. Results: Human papillomavirus DNA was detected in 18 (24%) of the 75 cases positive for the human h-globin gene. No significant association was observed between HPV and age, sex, or anatomical location of the tumor. The most prevalent viral type was HPV-18 (77,8%). Conclusion: The low frequency of detection of HPV DNA in oral epidermoid carcinomas suggests a possible participation of the virus in the development and progression of only a subgroup of these tumors
Brout-Englert-Higgs mechanism for accelerating observers

In this work we consider the spontaneous symmetry breaking of the electroweak
$SU(2)_L\times U(1)_Y$ gauge group into $U(1)_{em}$ taken place in the Standard
Model of particle physics as seen from the point of view of an accelerating
observer. According to the Unruh effect that observer detects the Minkowski
vacuum as a thermal bath at a temperature proportional to the proper
acceleration $a$. Then we show that (in a certain large $N$ limit) when the
acceleration is bigger than the critical value $a_c = 4 \pi v$ (where $v$ is
the Higgs vacuum expectation value), the electroweak $SU(2)_L\times U(1)_Y$
gauge symmetry is restored and all elementary particles become massless. In
addition, even observers with $a<a_c$, can see this symmetry restoration in the
region close to the Rindler horizon
Ability of modal analysis to detect osseointegration of implants in transfemoral amputees : a physical model study

Owing to the successful use of non-invasive vibration analysis to monitor the progression of dental implant healing and stabilization, it is now being considered as a method to monitor femoral implants in transfemoral amputees. This study uses composite femur-implant physical models to investigate the ability of modal analysis to detect changes at the interface between the implant and bone simulating those that occur during osseointegration. Using electromagnetic shaker excitation, differences were detected in the resonant frequencies and mode shapes of the model when the implant fit in the bone was altered to simulate the two interface cases considered: firm and loose fixation. The study showed that it is beneficial to examine higher resonant frequencies and their mode shapes (rather than the fundamental frequency only) when assessing fixation. The influence of the model boundary conditions on the modal parameters was also demonstrated. Further work is required to more accurately model the mechanical changes occurring at the bone-implant interface in vivo, as well as further refinement of the model boundary conditions to appropriately represent the in vivo conditions. Nevertheless the ability to detect changes in the model dynamic properties demonstrates the potential of modal analysis in this application and warrants further investigation
Bioactivity of phenolic acids: metabolites versus parent compounds: a review

Phenolic acids are present in our diet in different foods. In particular, mushrooms are a good source of these molecules. Due to their bioactive properties, phenolic acids are extensively studied and there is evidence of their role in disease prevention. Nevertheless, in vivo, these compounds are metabolized and circulate in the organism as glucuronated, sulfated and methylated metabolites, displaying higher or lower bioactivity. To clarify the importance of the metabolism of phenolic acids, the knowledge about the bioactivity of the metabolites is extremely important.
In this review, chemical features, biosynthesis and bioavailability of phenolic acids are discussed as well as the chemical and enzymatic synthesis of their metabolites. Finally, the metabolites bioactive properties are compared with that of the corresponding parental compounds.The authors are grateful to Fundação para a Ciência e a Tecnologia (FCT, Portugal) and FEDER-COMPETE/QREN/EU for the financial support through the research centres (PEst-C/QUI/UI0686/2011 and PEst-OE/AGR/UI0690/2011). S.A. Heleno (BD/70304/2010) also thanks FCT, POPH-QREN and FSE for her grant
Understanding the quality of life of family carers of people with dementia: development of a new conceptual framework

Background: Dementia is a major global health and social care challenge, and family carers are a vital determinant of positive outcomes for people with dementia. This study's aim was to develop a conceptual framework for the Quality of Life (QOL) of family carers of people with dementia. Methods: We studied family carers of people with dementia and staff working in dementia services iteratively using in‐depth individual qualitative interviews and focus groups discussions. Analysis used constant comparison techniques underpinned by a collaborative approach with a study‐specific advisory group of family carers. Results: We completed 41 individual interviews with 32 family carers and nine staff and two focus groups with six family carers and five staff. From the analysis, we identified 12 themes that influenced carer QOL. These were organised into three categories focussing on person with dementia, carer, and external environment. Conclusions: For carers of people with dementia, the QOL construct was found to include condition‐specific domains which are not routinely considered in generic assessment of QOL. This has implications for researchers, policy makers, and service providers in addressing and measuring QOL in family carers of people with dementia
Interaction between foreing financial services and foreign direct investment in transition economies: an empirical analysis with focus on the manufacturing sector

This paper studies the nexus between financial and non-financial foreign direct investment in Transition Economies, which are members of the EU. Three questions, which are pointed out in the theoretical literature, are discussed in the paper. We use a dataset for nine Transition Economies over the period 1996-2007, for most regressions we apply GMM and for one regression 2SLS. The empirical results lead to three important statements: non-financial FDI is positively affected by financial services FDI and by market potential. Foreign banks in the EU Transition Economies are mainly driven by non-financial FDI and the capital intensity of a country. FDI crowds out domestic investment in the manufacturing sector. © 2012 University of Venice
Modeling organic iron-binding ligands in a three-dimensional biogeochemical ocean model

Most dissolved iron in the ocean is bound to organic molecules with strong conditional stability constants, known as ligands that are found at concentrations ranging from 0.2 to more than 10 nmol L− 1. In this work we report the first mechanistic description of ligand dynamics in two three-dimensional models of ocean biogeochemistry and circulation. The model for ligands is based on the concept that ligands are produced both from organic matter remineralization and phytoplankton processes, and that they are lost through bacterial and photochemical degradation, as well as aggregation and to some extent in the process of phytoplankton uptake of ligand-bound iron.\ud
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A comparison with a compilation of in-situ measurements shows that the model is able to reproduce some large-scale features of the observations, such as a decrease in ligand concentrations along the conveyor belt circulation in the deep ocean, lower surface and subsurface values in the Southern Ocean, or higher values in the mesopelagic than in the abyssal ocean.\ud
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Modeling ligands prognostically (as opposed to assuming a uniform ligand concentration) leads to a more nutrient-like profile of iron that is more in accordance with data. It however, also leads to higher surface concentrations of dissolved iron and negative excess ligand L⁎ in some ocean regions. This is probably an indication that with more realistic and higher ligand concentrations near the surface, as opposed to the traditionally chosen low uniform concentration, iron modelers will have to re-evaluate their assumption of low scavenging rates for iron. Given their sensitivity to environmental conditions, spatio-temporal variations in ligand concentrations have the potential to impact primary production via changes in iron limitation
Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid

This paper presents a modified Particle Swarm Optimization (PSO) methodology to solve the problem
of energy resources management with high penetration of distributed generation and Electric Vehicles
(EVs) with gridable capability (V2G). The objective of the day-ahead scheduling problem in this work
is to minimize operation costs, namely energy costs, regarding the management of these resources in
the smart grid context. The modifications applied to the PSO aimed to improve its adequacy to solve the
mentioned problem.
The proposed Application Specific Modified Particle Swarm Optimization (ASMPSO) includes an intelligent
mechanism to adjust velocity limits during the search process, as well as self-parameterization of
PSO parameters making it more user-independent. It presents better robustness and convergence characteristics
compared with the tested PSO variants as well as better constraint handling. This enables its use
for addressing real world large-scale problems in much shorter times than the deterministic methods,
providing system operators with adequate decision support and achieving efficient resource scheduling,
even when a significant number of alternative scenarios should be considered.
The paper includes two realistic case studies with different penetration of gridable vehicles (1000 and
2000). The proposed methodology is about 2600 times faster than Mixed-Integer Non-Linear Programming
(MINLP) reference technique, reducing the time required from 25 h to 36 s for the scenario with
2000 vehicles, with about one percent of difference in the objective function cost value
Combining a Relaxed EM Algorithm with Occam's Razor for Bayesian Variable Selection in High-Dimensional Regression

International audienceWe address the problem of Bayesian variable selection for high-dimensional lin-ear regression. We consider a generative model that uses a spike-and-slab-like prior distribution obtained by multiplying a deterministic binary vector, which traduces the sparsity of the problem, with a random Gaussian parameter vector. The origi-nality of the work is to consider inference through relaxing the model and using a type-II log-likelihood maximization based on an EM algorithm. Model selection is performed afterwards relying on Occam's razor and on a path of models found by the EM algorithm. Numerical comparisons between our method, called spinyReg, and state-of-the-art high-dimensional variable selection algorithms (such as lasso, adap-tive lasso, stability selection or spike-and-slab procedures) are reported. Competitive variable selection results and predictive performances are achieved on both simulated and real benchmark data sets. An original regression data set involving the predic-tion of the number of visitors of the Orsay museum in Paris using bike-sharing system data is also introduced, illustrating the efficiency of the proposed approach. An R package implementing the spinyReg method is currently under development and is available at https://r-forge.r-project.org/projects/spinyreg
Optical properties of InN containing metallic indium

We theoretically study the optical properties of the composite made of indium nitride (InN)
containing metallic indium clusters, using quasistatic approximation and effective medium
approximation. The influences of indium cluster shape and volume concentration on the optical
properties of entire sample are systematically discussed. Our results can satisfactorily explain recent
experiments on the dielectric function of InN containing indium [M. Losurdo, G. Bruno, T.-H. Kim,
S. Choi, and A. Brown, Appl. Phys. Lett. 88, 121928 (2006)]
White organic light-emitting devices with a solution-processed and molecular host-employed emission layer

[[abstract]]The brightness, efficiency, chromaticity, and processibility of white organic light-emitting devices have been markedly improved by forming therein via spin-coating a single white emission layer, in which the red, green, and blue dyes of iridium-based complexes were previously solution-mixed into the host matrix composed of small molecules instead of polymers. Among the hosts studied, the 4,4'-bis(carbazol-9-yl)-biphenyl-based devices performed best in terms of luminance and efficiency for having the lowest-energy barrier for electrons to inject from the hole-blocking layer to the host layer. The device having a pure white emission of (0.34, 0.35) had a maximum power efficiency of 2.9 lm/W at an applicable luminance of 1680 cd/m2, while 5.6 lm/W at 550 cd/m2 for that of (0.34, 0.39)[[fileno]]2020306010041[[department]]材料科學工程學
Foam-like structure of the Universe

On the quantum stage spacetime had the foam-like structure. When the Universe cools, the foam structure tempers and does not disappear. We show that effects caused by the foamed structure mimic very well the observed Dark Matter phenomena. Moreover, we show that in a foamed space photons undergo a chaotic scattering and together with every discrete source of radiation we should observe a diffuse halo. We show that the distribution of the diffuse halo of radiation around a point-like source repeats exactly the distribution of dark matter around the same source, i.e. the DM halos are sources of the diffuse radiation