3,224 research outputs found
Models of affective decision-making: how do feelings predict choice?
Intuitively, how we feel about potential outcomes will determine our decisions. Indeed, one of the most influential theories in psychology, Prospect Theory, implicitly assumes that feelings govern choice. Surprisingly, however, we know very little about the rules by which feelings are transformed into decisions. Here, we characterize a computational model that uses feelings to predict choice. We reveal that this model predicts choice better than existing value-based models, showing a unique contribution of feelings to decisions, over and above value. Similar to Prospect Theory value function, feelings showed diminished sensitivity to outcomes as value increased. However, loss aversion in choice was explained by an asymmetry in how feelings about losses and gains were weighed when making a decision, not by an asymmetry in the feelings themselves. The results provide new insights into how feelings are utilized to reach a decision
Scaling and commensurate-incommensurate crossover for the d=2, z=2 quantum critical point of itinerant antiferromagnets
Quantum critical points exist at zero temperature, yet, experimentally their
influence seems to extend over a large part of the phase diagram of systems
such as heavy-fermion compounds and high-temperature superconductors.
Theoretically, however, it is generally not known over what range of parameters
the physics is governed by the quantum critical point. We answer this question
for the spin-density wave to fermi-liquid quantum critical point in the
two-dimensional Hubbard model. This problem is in the universality
class. We use the Two-Particle Self-Consistent approach, which is accurate from
weak to intermediate coupling, and whose critical behavior is the same as for
the self-consistent-renormalized approach of Moriya. Despite the presence of
logarithmic corrections, numerical results demonstrate that quantum critical
scaling for the static magnetic susceptibility can extend up to very high
temperatures but that the commensurate to incommensurate crossover leads to
deviations to scaling.Comment: Unchanged numerical results. It is now shown analytically that the
approach includes logarithmic corrections and that the critical behavior is
equivalent to the theory of Moriya. 6 pages, 3 figures, Late
: a data-driven approach to correct for systematics in RV data -- Application to SPIRou data of the planet-hosting M dwarf GJ 251
Context: Recent advances in the development of precise radial velocity (RV)
instruments in the near-infrared (nIR) domain, such as SPIRou, have facilitated
the study of M-type stars to more effectively characterize planetary systems.
However, the nIR presents unique challenges in exoplanet detection due to
various sources of planet-independent signals which can result in systematic
errors in the RV data.
Aims: In order to address the challenges posed by the detection of
exoplanetary systems around M-type stars using nIR observations, we introduce a
new data-driven approach for correcting systematic errors in RV data. The
effectiveness of this method is demonstrated through its application to the
star GJ 251.
Methods: Our proposed method, referred to as (Weighted
principAl comPonent analysIs reconsTructIon), uses a dataset of per-line RV
time-series generated by the line-by-line (LBL) algorithm and employs a
weighted principal component analysis (wPCA) to reconstruct the original RV
time-series. A multi-step process is employed to determine the appropriate
number of components, with the ultimate goal of subtracting the wPCA
reconstruction of the per-line RV time-series from the original data in order
to correct systematic errors.
Results: The application of to GJ 251 successfully
eliminates spurious signals from the RV time-series and enables the first
detection in the nIR of GJ 251b, a known temperate super-Earth with an orbital
period of 14.2 days. This demonstrates that, even when systematics in SPIRou
data are unidentified, it is still possible to effectively address them and
fully realize the instrument's capability for exoplanet detection.
Additionally, in contrast to the use of optical RVs, this detection did not
require to filter out stellar activity, highlighting a key advantage of nIR RV
measurements.Comment: Submitted to A&A. For the publicly available Wapiti code, see
https://github.com/HkmMerwan/wapit
R2D2 TPC: first Xenon results
Radial time projection chambers (TPC), already employed in the search for
rare phenomena such as light Dark Matter candidate, could provide a new
detection approach for the search of neutrinoless double beta decay
(). The assessment of the performances of such a detector for
search is indeed the goal of the Rare Decays with Radial
Detector (R2D2) R\&D. Promising results operating a spherical TPC with argon up
to 1~bar have been published in 2021. Supplementary measurements were recently
taken extending the gas pressure range up to 3~bar. In addition, a comparison
between two detector geometries, namely spherical (SPC for spherical
proportional counter) and cylindrical (CPC for cylindrical proportional
counter), was performed. Using a relatively simple gas purification system the
CPC detector was also operated with xenon at 1~bar: an energy resolution of
1.4\% full-width at half-maximum was achieved for drift distances up to 17~cm.
Much lower resolution was observed with the SPC. These results are presented in
this article.Comment: 16 pages 14 figure
Horizontal DNA transfer mechanisms of bacteria as weapons of intragenomic conflict
Horizontal DNA transfer (HDT) is a pervasive mechanism of diversification in many microbial species, but its primary evolutionary role remains controversial. Much recent research has emphasised the adaptive benefit of acquiring novel DNA, but here we argue instead that intragenomic conflict provides a coherent framework for understanding the evolutionary origins of HDT. To test this hypothesis, we developed a mathematical model of a clonally descended bacterial population undergoing HDT through transmission of mobile genetic elements (MGEs) and genetic transformation. Including the known bias of transformation toward the acquisition of shorter alleles into the model suggested it could be an effective means of counteracting the spread of MGEs. Both constitutive and transient competence for transformation were found to provide an effective defence against parasitic MGEs; transient competence could also be effective at permitting the selective spread of MGEs conferring a benefit on their host bacterium. The coordination of transient competence with cell-cell killing, observed in multiple species, was found to result in synergistic blocking of MGE transmission through releasing genomic DNA for homologous recombination while simultaneously reducing horizontal MGE spread by lowering the local cell density. To evaluate the feasibility of the functions suggested by the modelling analysis, we analysed genomic data from longitudinal sampling of individuals carrying Streptococcus pneumoniae. This revealed the frequent within-host coexistence of clonally descended cells that differed in their MGE infection status, a necessary condition for the proposed mechanism to operate. Additionally, we found multiple examples of MGEs inhibiting transformation through integrative disruption of genes encoding the competence machinery across many species, providing evidence of an ongoing "arms race." Reduced rates of transformation have also been observed in cells infected by MGEs that reduce the concentration of extracellular DNA through secretion of DNases. Simulations predicted that either mechanism of limiting transformation would benefit individual MGEs, but also that this tactic's effectiveness was limited by competition with other MGEs coinfecting the same cell. A further observed behaviour we hypothesised to reduce elimination by transformation was MGE activation when cells become competent. Our model predicted that this response was effective at counteracting transformation independently of competing MGEs. Therefore, this framework is able to explain both common properties of MGEs, and the seemingly paradoxical bacterial behaviours of transformation and cell-cell killing within clonally related populations, as the consequences of intragenomic conflict between self-replicating chromosomes and parasitic MGEs. The antagonistic nature of the different mechanisms of HDT over short timescales means their contribution to bacterial evolution is likely to be substantially greater than previously appreciated
Magnetic fields & rotation periods of M dwarfs from SPIRou spectra
We present near-infrared spectropolarimetric observations of a sample of 43
weakly- to moderately-active M dwarfs, carried with SPIRou at the
Canada-France-Hawaii Telescope in the framework of the SPIRou Legacy Survey
from early 2019 to mid 2022. We use the 6700 circularly polarised spectra
collected for this sample to investigate the longitudinal magnetic field and
its temporal variations for all sample stars, from which we diagnose, through
quasi-periodic Gaussian process regression, the periodic modulation and
longer-term fluctuations of the longitudinal field. We detect the large-scale
field for 40 of our 43 sample stars, and infer a reliable or tentative rotation
period for 38 of them, using a Bayesian framework to diagnose the confidence
level at which each rotation period is detected. We find rotation periods
ranging from 14 to over 60d for the early-M dwarfs, and from 70 to 200d for
most mid- and late-M dwarfs (potentially up to 430d for one of them). We also
find that the strength of the detected large-scale fields does not decrease
with increasing period or Rossby number for the slowly rotating dwarfs of our
sample as it does for higher-mass, more active stars, suggesting that these
magnetic fields may be generated through a different dynamo regime than those
of more rapidly rotating stars. We also show that the large-scale fields of
most sample stars evolve on long timescales, with some of them globally
switching sign as stars progress on their putative magnetic cycles.Comment: MNRAS, in press (25 pages, 15 figures, 3 tables
Characterizing planetary systems with SPIRou: M-dwarf planet-search survey and the multiplanet systems GJ 876 and GJ 1148
SPIRou is a near-infrared spectropolarimeter and a high-precision
velocimeter. The SPIRou Legacy Survey collected data from February 2019 to June
2022, half of the time devoted to a blind search for exoplanets around nearby
cool stars. The aim of this paper is to present this program and an overview of
its properties, and to revisit the radial velocity (RV) data of two multiplanet
systems, including new visits with SPIRou. From SPIRou data, we can extract
precise RVs using efficient telluric correction and line-by-line measurement
techniques, and we can reconstruct stellar magnetic fields from the collection
of polarized spectra using the Zeeman-Doppler imaging method. The stellar
sample of our blind search in the solar neighborhood, the observing strategy,
the RV noise estimates, chromatic behavior, and current limitations of SPIRou
RV measurements on bright M dwarfs are described. In addition, SPIRou data over
a 2.5-year time span allow us to revisit the known multiplanet systems GJ~876
and GJ~1148. For GJ~876, the new dynamical analysis including the four planets
is consistent with previous models and confirms that this system is deep in the
Laplace resonance and likely chaotic. The large-scale magnetic map of GJ~876
over two consecutive observing seasons is obtained and shows a dominant dipolar
field with a polar strength of 30~G, which defines the magnetic environment in
which the inner planet with a period of 1.94~d is embedded. For GJ~1148, we
refine the known two-planet model.Comment: accepted in A&
Engineering the Controlled Assembly of Filamentous Injectisomes in E. coli K-12 for Protein Translocation into Mammalian Cells.
Bacterial pathogens containing type III protein secretion systems (T3SS) assemble large needle-like protein complexes in the bacterial envelope, called injectisomes, for translocation of protein effectors into host cells. The application of these molecular syringes for the injection of proteins into mammalian cells is hindered by their structural and genomic complexity, requiring multiple polypeptides encoded along with effectors in various transcriptional units (TUs) with intricate regulation. In this work, we have rationally designed the controlled expression of the filamentous injectisomes found in enteropathogenic Escherichia coli (EPEC) in the nonpathogenic strain E. coli K-12. All structural components of EPEC injectisomes, encoded in a genomic island called the locus of enterocyte effacement (LEE), were engineered in five TUs (eLEEs) excluding effectors, promoters and transcriptional regulators. These eLEEs were placed under the control of the IPTG-inducible promoter Ptac and integrated into specific chromosomal sites of E. coli K-12 using a marker-less strategy. The resulting strain, named synthetic injector E. coli (SIEC), assembles filamentous injectisomes similar to those in EPEC. SIEC injectisomes form pores in the host plasma membrane and are able to translocate T3-substrate proteins (e.g., translocated intimin receptor, Tir) into the cytoplasm of HeLa cells reproducing the phenotypes of intimate attachment and polymerization of actin-pedestals elicited by EPEC bacteria. Hence, SIEC strain allows the controlled expression of functional filamentous injectisomes for efficient translocation of proteins with T3S-signals into mammalian cells
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