pinecone/core-2020-05-10-deduplication huggingface dataset:
Titanium dioxide nanoparticle coating in fluidized bed via supercritical anti-solvent process (SAS)

A process to coat nanoparticle agglomerates has been developed and its critical operation parameters have been studied in this work. It consists on a fluidized bed where a supercritical anti-solvent process (SAS) takes place. Titanium dioxide (TiO2), used as model nanoparticle, has been coated with a polymer, Pluronic F-127, from an ethanolic solution.  As main factors that can affect the coating process, the following process parameters were studied: the ratio between the velocity of carbon dioxide through the bed and the minimum fluidization velocity (umf), with values from 1.5 to 2.5 times the umf; the density of carbon dioxide, varying from 640 kg/m3 to 735 kg/m3 approximately; the flow rate of solution, within an interval between 0.5-2 mL/min; the concentration of the solution, from 0.030 mg/mL to 0.090 mg/mL and the mass ratio polymer-particle, 0.45-1.8 g/g.  The process parameters were selected taking into account the values that increased the yield, defined as gram of coating material per gram of introduced polymer amount, and maintained a unimodal particle size distribution (PSD), with low increment in the mean particle size with respect to raw TiO2. All the samples were analyzed by four different methods, which showed the successful results of the experiments. The yield was analyzed gravimetrically, and the PSD was determined by laser diffraction. The presence of polymer on the surface of the nanoparticle agglomerates was verified by FT-IR spectrum and fluorescence microscopy, which also showed the quality and uniformity of the coating. Furthermore, the bulk density of the samples was measured showing a lineal variation with the mass ratio polymer-particle.2017-09-01This work is partially supported by the project Shyman FP7-NMP-2011-LARGE-280983 and the project CTQ2013-44143-R of the Spanish Ministerio de Economía y Competitividad. Víctor Martín thanks the University of Valladolid for his doctoral grant. Rut Romero-Díez would like to thanks her agreement with the University of Valladolid. Soraya Rodríguez-Rojo thanks the Spanish Ministerio de Ciencia e Innovación and the University of Valladolid for her Juan de la Cierva fellowship (JCI-2012-14992)
Inviscid Faraday waves in a brimful circular cylinder

We study inviscid Faraday waves in a brimful circular cylinder with pinned contact line. The pinning leads to a coupling of the Bessel modes and leads to an infinite system of coupled Mathieu equations. For large Bond numbers, even though the stability diagrams and the subharmonic and harmonic resonances for the free and pinned contact lines are similar,the free surface shapes can be quite different. With decreasing Bond number, not only are the harmonic and subharmonic resonances very different from the free contact line case but also interesting changes in the stability diagram occur with the appearance of combination resonance tongues. Points on these tongue boundaries correspond to almost periodic states. These do not seem to have been reported in the literature
Measurement of two-halo neutron transfer reaction p($^{11}$Li,$^{9}$Li)t at 3$A$ MeV

6 pages, 3 figures, submitted to Physical Review Letters, Détecteur MAYAThe p(\nuc{11}{Li},\nuc{9}{Li})t reaction has been studied for the first time at an incident energy of 3$A$ MeV delivered by the new ISAC-2 facility at TRIUMF. An active target detector MAYA, build at GANIL, was used for the measurement. The differential cross sectionshave been determined for transitions to the \nuc{9}{Li} ground andthe first excited states in a wide range of scattering angles. Multistep transfer calculations using different \nuc{11}{Li} model wave functions, shows that wave functions with strong correlations between the halo neutrons are the most successful in reproducing the observation
Where do parties go when they die? The fate of failed parties in the Czech Republic, Slovakia and Hungary 1992–2013

This is the authors' accepted and refereed manuscript to the articleThirty-nine parties have crossed the electoral threshold in the Czech Republic, Slovakia and Hungary since the collapse of communism. Twenty-three of them subsequently failed. Of these, only two parties managed to return on their own. Another survives in an electoral alliance. The rest have merged, ceased to exist, or maintain a ‘zombie-like’ existence. We map and analyse the fate of failed parties, and explore why some close down quickly while others soldier on. The core factors are the opportunity structures (potential alliances or new homes for the elite), alternative arenas for competition, and the organisational strength of the party.1, Forfatterversjo
Simulating quantum-optical phenomena with cold atoms in optical lattices

We propose a scheme involving cold atoms trapped in optical lattices to observe different phenomena traditionally linked to quantum-optical systems. The basic idea consists of connecting the trapped atomic state to a non-trapped state through a Raman scheme. The coupling between these two types of atoms (trapped and free) turns out to be similar to that describing light-matter interaction within the rotating-wave approximation, the role of matter and photons being played by the trapped and free atoms, respectively. We explain in particular how to observe phenomena arising from the collective spontaneous emission of atomic and harmonic oscillator samples, such as superradiance and directional emission. We also show how the same setup can simulate Bose-Hubbard Hamiltonians with extended hopping as well as Ising models with long-range interactions. We believe that this system can be realized with state of the art technology
Computer vision for lifelogging

The rapid development of mobile devices capable of sensing our interaction with the environment has make it possible to assist humans in daily living such as helping patients with cognitive impairment or providing customized food intake plan for patients with obesity, etc. All of this can be achieved through the passive gathering of detailed records of everyday behaviour which is termed as lifelogging. For example, the widely adopted smart mobiles and newly-emerging consumer wearable devices like Google glass, Baidu eye, Narrative clip, etc. are usually embedded with rich sensing capabilities including camera, accelerometer, GPS, digital compass, etc. which can help to capture daily activity unobtrusively. Among such heterogeneous sensor readings, visual media contain more semantics to assist in characterizing everyday activities and visual lifelogging is a class of personal sensing which employs wearable cameras to capture image or video sequences of everyday activities. This chapter will focus on the most recent research methods in understanding visual lifelogs, including semantic annotations of visual concepts, utilization of contextual semantics, recognition of activities, visualization of activities, etc. We also discuss some research challenges which indicates potential directions for future research. This chapter is intended to support readers in the area of assistive living using wearable sensing, computer vision for lifelogging, human behaviour researchers aiming at behavioural analysis based on visual understanding
The Cultural Red King Effect

Why do minority groups tend to be discriminated against when it comes to situations of bargaining and resource division?  In this paper, I explore an explanation for this disadvantage that appeals solely to the dynamics of social interaction between minority and majority groups---the cultural Red King effect (Bruner, 2017).   As I show, in agent-based models of bargaining between groups, the minority group will tend to get less as a direct result of the fact that they frequently interact with majority group members, while majority group members meet them only rarely.  This effect is strengthened by certain psychological phenomenon---risk aversion and in-group preference---is robust on network models, and is strengthened in cases where pre-existing norms are discriminatory.  I will also discuss how this effect unifies previous results on the impacts of institutional memory on bargaining between groups
The Influence of Diet on Mercury Intake by Little Tern Chicks

We assessed mercury levels in the feathers of little tern (Sternula albifrons) chicks from hatching to fledging and in their prey captured by adults in three main foraging habitats: lagoon, salinas, and adjacent sea. These data were used to model mercury concentration in chick feathers through food ingestion, in order to explore the effects that changes in diet would have on the mercury burden of chicks as they aged. The mercury concentration in feathers of chicks raised in sandy beaches was higher than in those raised in salinas. Lagoon prey had a significantly higher mercury concentration (0.18 ± 0.09 µg g-1 dry weight [d.w.]) than prey from salinas and the adjacent sea (both 0.06 ± 0.03 µg g-1 d.w.). In relation to prey species group, mercury content was significantly higher for bottom fish (0.17 ± 0.10 µg g-1 d.w.) than for pelagic (0.08 ± 0.06 µg g-1 d.w.), euryhaline fish (0.04 ± 0.02 µg g-1 d.w.), and crustacea (0.08 ± 0.03 µg g-1 d.w.). To understand the importance of mercury content of each prey group, we ran several theoretical scenarios assuming that chicks were fed on only one species at a time. Considering a diet restricted to lagoon (mostly benthic) prey, A- and B-chicks may encounter health problems with an excess of mercury. On the contrary, a diet restricted to marine (mostly pelagic) prey would decrease the mercury concentration in chick feathers; the fast growth rate and the related mercury dilution effect in little tern chicks seem to decrease mercury levels in their feathers. Our study supports the fact that marine pelagic prey are important for estuarine seabirds because they provide a food resource with lower contamination levels. This model may have a wider application in similar seabird species and coastal environments.http://dx.doi.org/10.1007/s00244-007-9118-
Electric and Magnetic Screening Masses at Finite Temperature from
  Generalized Polyakov-Line Correlations in Two-flavor Lattice QCD

Screenings of the quark-gluon plasma in electric and magnetic sectors are
studied on the basis of generalized Polyakov-line correlation functions in
lattice QCD simulations with two flavors of improved Wilson quarks. Using the
Euclidean-time reflection ($\R$) and the charge conjugation ($\Ca$), electric
and magnetic screening masses are extracted in a gauge invariant manner. Long
distance behavior of the standard Polyakov-line correlation in the quark-gluon
plasma is found to be dictated by the magnetic screening. Also, ratio of the
two screening masses agrees with that obtained from the dimensionally-reduced
effective field theory and the ${\cal N}=4$ supersymmetric Yang-Mills theory
Renormalization of electron self-energies via their interaction with
  spin excitations: A first-principles investigation

Access to magnetic excitation spectra of single atoms deposited on surfaces
is nowadays possible by means of low-temperature inelastic scanning tunneling
spectroscopy. We present a first-principles method for the calculation of
inelastic tunneling spectra utilizing the Korringa-Kohn-Rostoker Green function
method combined with time-dependent density functional theory and many-body
perturbation theory. The key quantity is the electron self-energy describing
the coupling of the electrons to the spin excitation within the adsorbate. By
investigating Cr, Mn, Fe and Co adatoms on a Cu(111) substrate, we
spin-characterize the spectra and demonstrate that their shapes are altered by
the magnetization of the adatoms, of the tip and the orbital decay into vacuum.
Our method also predicts spectral features more complex than the steps obtained
by simpler models for the adsorbate (e.g., localized spin models)
Multi-Locus Genome-Wide Association Analysis Supports the Role of Glutamatergic Synaptic Transmission in the Etiology of Major Depressive Disorder

Major depressive disorder (MDD) is a common psychiatric illness characterized by low mood and loss of interest in pleasurable activities. Despite years of effort, recent genome-wide association studies (GWAS) have identified few susceptibility variants or genes that are robustly associated with MDD. Standard single-SNP (single nucleotide polymorphism)-based GWAS analysis typically has limited power to deal with the extensive heterogeneity and substantial polygenic contribution of individually weak genetic effects underlying the pathogenesis of MDD. Here, we report an alternative, gene-set-based association analysis of MDD in an effort to identify groups of biologically related genetic variants that are involved in the same molecular function or cellular processes and exhibit a significant level of aggregated association with MDD. In particular, we used a text-mining-based data analysis to prioritize candidate gene sets implicated in MDD and conducted a multi-locus association analysis to look for enriched signals of nominally associated MDD susceptibility loci within each of the gene sets. Our primary analysis is based on the meta-analysis of three large MDD GWAS data sets (total N=4346 cases and 4430 controls). After correction for multiple testing, we found that genes involved in glutamatergic synaptic neurotransmission were significantly associated with MDD (set-based association \(P=6.9 × 10^{−4}\)). This result is consistent with previous studies that support a role of the glutamatergic system in synaptic plasticity and MDD and support the potential utility of targeting glutamatergic neurotransmission in the treatment of MDD
A semantic and language-based representation of an environmental scene

The modeling of a landscape environment is a cognitive activity that requires appropriate spatial representations. The research presented in this paper introduces a structural and semantic categorization of a landscape view based on panoramic photographs that act as a substitute of a given natural environment. Verbal descriptions of a landscape scene provide themodeling input of our approach. This structure-based model identifies the spatial, relational, and semantic constructs that emerge from these descriptions. Concepts in the environment are qualified according to a semantic classification, their proximity and direction to the observer, and the spatial relations that qualify them. The resulting model is represented in a way that constitutes a modeling support for the study of environmental scenes, and a contribution for further research oriented to the mapping of a verbal description onto a geographical information system-based representation
A machine-based personality oriented team recommender for software development organizations

Hiring the right person for the right job is always a challenging task in software development landscapes. To bridge this gap, software_rms start using psychometric instruments for investigating the personality types of software practitioners. In our previous research, we have developed an MBTI-like instrument to reveal the personality types ofsoftware practitioners. This study aims to develop a personality-based team recommender mechanism to improve the e_ectiveness of software teams. The mechanism is based on predicting the possible patterns of teams using a machine-based classi_er. The classi_er is trained with em-pirical data (e.g. personality types, job roles), which was collected from52 software practitioners working on _ve different software teams. 12software practitioners were selected for the testing process who were recommended by the classi_er to work for these teams. The preliminary results suggest that a personality-based team recommender system mayprovide an effective approach as compared with ad-hoc methods of teamformation in software development organizations. Ultimately, the overallperformance of the proposed classi_er was 83.3%. These _ndings seemacceptable especially for tasks of suggestion where individuals might beable to _t in more than one team
The rapid atmospheric monitoring system of the Pierre Auger Observatory

The Pierre Auger Observatory is a facility built to detect air showers produced by cosmic rays above 10^17 eV. During clear nights with a low illuminated moon fraction, the UV fluorescence light produced by air showers is recorded by optical telescopes at the Observatory. To correct the observations for variations in atmospheric conditions, atmospheric monitoring is performed at regular intervals ranging from several minutes (for cloud identification) to several hours (for aerosol conditions) to several days (for vertical profiles of temperature, pressure, and humidity). In 2009, the monitoring program was upgraded to allow for additional targeted measurements of atmospheric conditions shortly after the detection of air showers of special interest, e. g., showers produced by very high-energy cosmic rays or showers with atypical longitudinal profiles. The former events are of particular importance for the determination of the energy scale of the Observatory, and the latter are characteristic of unusual air shower physics or exotic primary particle types. The purpose of targeted (or "rapid") monitoring is to improve the resolution of the atmospheric measurements for such events. In this paper, we report on the implementation of the rapid monitoring program and its current status. The rapid monitoring data have been analyzed and applied to the reconstruction of air showers of high interest, and indicate that the air fluorescence measurements affected by clouds and aerosols are effectively corrected using measurements from the regular atmospheric monitoring program. We find that the rapid monitoring program has potential for supporting dedicated physics analyses beyond the standard event reconstruction
Dysfunctional profile for patients in physical neurorehabilitation of upper limb

This paper proposes a first approach to Objective Motor Assessment (OMA) methodology. Also, it introduces the Dysfunctional profile (DP) concept. DP consists of a data matrix characterizing the Upper Limb (UL) physical alterations of a patient with Acquired Brain Injury (ABI) during the rehabilitation process. This research is based on the comparison methology of UL movement between subjects with ABI and healthy subjects as part of OMA. The purpose of this comparison is to classify subjects according to their motor control and subsequently issue a functional assessment of the movement. For this purpose Artificial Neural Networks (ANN) have been used to classify patients. Different network structures are tested. The obtained classification accuracy was 95.65%. This result allows the use of ANNs as a viable option for dysfunctional assessment. This work can be considered a pilot study for further research to corroborate these results
Ruling out the impact of defects on the below band gap photoconductivity of Ti supersaturated Si

In this study, we present a structural and optoelectronic characterization of high dose Ti implanted Si subsequently pulsed-laser melted (Ti supersaturated Si). Time-of-flight secondary ion mass spectrometry analysis reveals that the theoretical Mott limit has been surpassed after the laser process and transmission electron microscopy images show a good lattice reconstruction. Optical characterization shows strong sub-band gap absorption related to the high Ti concentration. Photoconductivity measurements show that Ti supersaturated Si presents spectral response orders of magnitude higher than unimplanted Si at energies below the band gap. We conclude that the observed below band gap photoconductivity cannot be attributed to structural defects produced by the fabrication processes and suggest that both absorption coefficient of the new material and lifetime of photoexcited carriers have been enhanced due to the presence of a high Ti concentration. This remarkable result proves that Ti supersaturated Si is a promising material for both infrared detectors and high efficiency photovoltaic devices
Investigations on the distribution of air transport traffic and CO2 emissions within the European Union

This study analyses the structure of air traffic and its distribution among the different countries in the European Union, as well as traffic with an origin or destination in non-EU countries. Data sources are Eurostat statistics and actual flight information from EUROCONTROL. Relevant variables such as the number of flights, passengers or cargo tonnes and production indicators (RPKs) are used together with fuel consumption and CO2 emissions data. The segmentation of air traffic in terms of distance permits an assessment of air transport competition with surface transport modes.  The results show a clear concentration of traffic in the five larger countries (France, Germany, Italy, Spain and UK), in terms of RPKs. In terms of distance the segment between 500 and 1000 km in the EU, has more flights, passengers, RTKs and CO2 emissions than larger distances. On the environmental side, the distribution of CO2 emissions within the EU Member States is presented, together with fuel efficiency parameters. In general, a direct relationship between RPKs and CO2 emissions is observed for all countries and all distance bands. Consideration is given to the uptake of alternative fuels. Segmenting CO2 emissions per distance band and aircraft type reveals which flights contribute the most the overall EU CO2 emissions. Finally, projections for future CO2 emissions are estimated, according to three different air traffic growth and biofuel introduction scenarios
On the asymptotic states and the quantum S matrix of the η -deformed AdS 5 × S 5 superstring

We investigate the worldsheet S matrix of string theory in η -deformed AdS 5 × S 5 . By computing the six-point tree-level S matrix we explicitly show that there is no particle production at this level, as required by the classical integrability of the theory. At one and two loops we show that integrability requires that the classical two-particle states be redefined in a non-local and η -dependent way. This is a significant departure from the undeformed theory which is probably related to the quantum group symmetry of the worldsheet theory. We use generalized unitarity to carry out the loop calculations and identify a set of integrals that allow us to give a two-loop Feynman integral representation of the logarithmic terms of the two-loop S matrix. We finally also discuss aspects of the calculation of the two-loop rational terms
Non-abelian T-dualizing the resolved conifold with regular and fractional D3-branes

In this paper we obtain new solutions of Type IIA and massive Type IIA supergravity. These solutions are the result of implementing a non-abelian T-duality along the internal SU(2) isometries of several D3-brane configurations on the resolved conifold, studied by Pando Zayas and Tseytlin. We first study the pure NS resolved conifold solution, then we add fluxes by placing a stack of D3-branes at the tip of the resolved conifold and finally we consider the system of regular and fractional D3-branes at the tip. We present the non-abelian T-duals associated with these backgrounds and study their geometries and fluxes. We briefly comment on some field theory features by studying couplings and the central charge of the dual field theory. We also analyze the supersymmetry of the dual solutions and show that for the system of only D3 branes the duality defines a map between backgrounds with SU(3) and orthogonal SU(2) structures