bluuebunny/crossref_metadata_2025_split huggingface dataset:
Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data
Authors: Jones-Jang S Mo , Heo Yu-Jin , McKeever Robert , Kim Jung-Hyun , Moscowitz Leigh , Moscowitz David 
Published: June 2020

Abstract
Despite long-standing concerns over self-reported measures of media use, media research has relied heavily on self-reported data. This study not only examined discrepancies between survey and logged smartphone data but assessed whether correlational outcomes using self-reported measures produce greater or smaller effect sizes compared to outcomes using logged measures. College students (n = 294) and MTurk workers (n = 291) provided self-reported and logged data of smartphone use over seven days. The correlations we examined involved four psychosocial contexts, including bridging, bonding, well-being, and problematic use of smartphones. The results showed that the effect sizes of correlations using self-reported data tend to be smaller compared to those using logged data. We believe that this is a hopeful message to the field. This could mean that extant survey results have not erroneously inflated communication findings and that communication researchers still have a lot to reveal with further refined measures.
Vector logic allows counterfactual virtualization by the square root of NOT
Authors: Mizraji Eduardo 
Published: June 2020

AbstractIn this work, we investigate the representation of counterfactual conditionals using the vector logic, a matrix-vector formalism for logical functions and truth values. Inside this formalism, the counterfactuals can be transformed in complex matrices preprocessing an implication matrix with one of the square roots of NOT, a complex matrix. This mathematical approach puts in evidence the virtual character of the counterfactuals. This happens because this representation produces a valuation of a counterfactual that is the superposition of the two opposite truth values weighted, respectively, by two complex conjugated coefficients. This result shows that this procedure gives an uncertain evaluation projected on the complex domain. After this basic representation, the judgement of the plausibility of a given counterfactual allows us to shift the decision towards an acceptance or a refusal. This shift is the result of applying for a second time one of the two square roots of NOT.
Is the European Data Protection Regulation sufficient to deal with emerging data concerns relating to neurotechnology?
Authors: Rainey Stephen , McGillivray Kevin , Akintoye Simi , Fothergill Tyr , Bublitz Christoph , Stahl Bernd 
Published: June 2020

Abstract
Research-driven technology development in the fields of the neurosciences presents interesting and potentially complicated issues around data in general and brain data specifically. The data produced from brain recordings are unlike names and addresses in that it may result from the processing of largely involuntarily brain activity, it can be processed and reprocessed for different aims, and it is highly sensitive. Consenting for brain recordings of a specific type, or for a specific purpose, is complicated by these factors. Brain data collection, retention, processing, storage, and destruction are each of high ethical importance. This leads us to ask: Is the present European Data Protection Regulation sufficient to deal with emerging data concerns relating to neurotechnology? This is pressing especially in a context of rapid advancement in the fields of brain computer interfaces (BCIs), where devices that can function via recorded brain signals are expanding from research labs, through medical treatments, and beyond into consumer markets for recreational uses. One notion we develop herein is that there may be no trivial data collection when it comes to brain recording, especially where algorithmic processing is involved. This article provides analysis and discussion of some specific data protection questions related to neurotechnology, especially BCIs. In particular, whether and how brain data used in BCI-driven applications might count as personal data in a way relevant to data protection regulations. It also investigates how the nature of BCI data, as it appears in various applications, may require different interpretations of data protection concepts. Importantly, we consider brain recordings to raise questions about data sensitivity, regardless of the purpose for which they were recorded. This has data protection implications.
Giant lymphatic malformation causing abdominal compartment syndrome in a neonate: a rare surgical emergency
Authors: Gasparella Paolo , Singer Georg , Castellani Christoph , Sorantin Erich , Haxhija Emir Q , Till Holger 
Published: June 2020

Abstract
Abdominal lymphatic malformations in neonates require sophisticated management. In symptomatic cases, acute complications may necessitate immediate surgery. We present the case of a giant abdominal lymphatic malformation diagnosed in the 18th gestational week. Sonographic concerns about intestinal hypoperfusion in the 33rd week of gestation indicated caesarean section. Postnatal imaging confirmed a macrocystic lymphatic malformation occupying almost the complete abdominal cavity; the intestinal perfusion was normal. Clinical deterioration on Day 13 of life required laparotomy. Intraoperatively, the lymphatic mass was located in the ileocecal mesentery. Two major cysts showed recent hemorrhage explaining the onset of abdominal compartment syndrome. The malformation was completely removed. An ileocecal resection with an ileocolic anastomosis was performed. The postoperative course was uneventful. In neonates with abdominal lymphatic malformations, an onset of abdominal compartment syndrome requires surgical exploration. If feasible, the complete removal of the lesion represents a curative option.
Survey Reliability: Models, Methods, and Findings
Authors: Tourangeau Roger 
Published: June 2020

Abstract
Although most survey researchers agree that reliability is a critical requirement for survey data, there have not been many efforts to assess the reliability of responses in national surveys. In addition, there are quite different approaches to studying the reliability of survey responses. In the first section of the Lecture, I contrast a psychological theory of over-time consistency with three statistical models that use reinterview data, multi-trait multi-method experiments, and three-wave panel data to estimate reliability. The more sophisticated statistical models reflect concerns about memory effects and the impact of method factors in reinterview studies. In the following section of the Lecture, I examine some of the major findings from the literature on reliability. Despite the differences across methods for exploring reliability, the findings mostly converge, identifying similar respondent and question characteristics as major determinants of reliability. The next section of the paper looks at the correlations among estimates of reliability derived from the different methods; it finds some support for the validity of the measures from traditional reinterview studies. The empirical claims motivating the more sophisticated methods for estimating reliability are not strongly supported in the literature. Reliability is, in my judgment, a neglected topic among survey researchers, and I hope the Lecture spurs further studies of the reliability of survey questions.
Effect of a strong magnetic field on gravity-mode period spacings in red giant stars
Authors: Loi Shyeh Tjing 
Published: June 2020

ABSTRACT
When a star evolves into a red giant, the enhanced coupling between core-based gravity modes and envelope-based pressure modes forms mixed modes, allowing its deep interior to be probed by asteroseismology. The ability to obtain information about stellar interiors is important for constraining theories of stellar structure and evolution, for which the origin of various discrepancies between prediction and observation is still under debate. Ongoing speculation surrounds the possibility that some red giant stars may harbour strong (dynamically significant) magnetic fields in their cores, but interpretation of the observational data remains controversial. In part, this is tied to shortfalls in our understanding of the effects of strong fields on the seismic properties of gravity modes, which lies beyond the regime of standard perturbative methods. Here, we seek to investigate the effect of a strong magnetic field on the asymptotic period spacings of gravity modes. We use a Hamiltonian ray approach to measure the volume of phase space occupied by mode-forming rays, this being roughly proportional to the average density of modes (number of modes per unit frequency interval). A strong field appears to systematically increase this by about 10 per cent, which predicts a ∼10 per cent smaller period spacing. Evidence of near integrability in the ray dynamics hints that the gravity-mode spectrum may still exhibit pseudo-regularities under a strong field.
The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS 0451−03
Authors: Tam Sut-Ieng , Jauzac Mathilde , Massey Richard , Harvey David , Eckert Dominique , Ebeling Harald , Ellis Richard S , Ghirardini Vittorio , Klein Baptiste , Kneib Jean-Paul , Lagattuta David , Natarajan Priyamvada , Robertson Andrew , Smith Graham P 
Published: June 2020

ABSTRACT
Using the largest mosaic of Hubble Space Telescope images around a galaxy cluster, we map the distribution of dark matter throughout an ∼6 × 6 Mpc2 area centred on the cluster MS 0451−03 (z = 0.54, $M_{200}=1.65\times 10^{15}\, {\rm M}_{\odot }$). Our joint strong- and weak-lensing analysis shows three possible filaments extending from the cluster, encompassing six group-scale substructures. The dark matter distribution in the cluster core is elongated, consists of two distinct components, and is characterized by a concentration parameter of c200 = 3.79 ± 0.36. By contrast, XMM–Newton observations show the gas distribution to be more spherical, with excess entropy near the core, and a lower concentration of $c_{200}=2.35^{+0.89}_{-0.70}$ (assuming hydrostatic equilibrium). Such a configuration is predicted in simulations of major mergers 2–7 Gyr after the first core passage, when the two dark matter haloes approach second turnaround, and before their gas has relaxed. This post-merger scenario finds further support in optical spectroscopy of the cluster’s member galaxies, which shows that star formation was abruptly quenched 5 Gyr ago. MS 0451−03 will be an ideal target for future studies of the growth of structure along filaments, star formation processes after a major merger, and the late-stage evolution of cluster collisions.
Updated theoretical period–age and period–age–colour relations for Galactic Classical Cepheids: an application to the Gaia DR2 sample
Authors: De Somma Giulia , Marconi Marcella , Cassisi Santi , Ripepi Vincenzo , Leccia Silvio , Molinaro Roberto , Musella Ilaria 
Published: June 2020

ABSTRACT
Updated evolutionary and pulsational model predictions are combined in order to interpret the properties of Galactic Classical Cepheids in the Gaia Data Release 2. In particular, the location of the instability strip boundaries and the analytical relations connecting pulsation periods to the intrinsic stellar parameters are combined with evolutionary tracks to derive reliable and accurate period–age and the first theoretical period–age–colour relations in the Gaia bands for a solar chemical abundance pattern (Z = 0.02, Y = 0.28). The adopted theoretical framework takes into account possible variations in the mass–luminosity relation for the core helium-burning stage as due to changes in the core convective overshooting and/or mass-loss efficiency, as well as the impact on the instability strip boundaries due to different assumptions for superadiabatic convection efficiency. The inferred period–age and period–age–colour relations are applied to a selected sample of both fundamental and first overtone Gaia Cepheids, and individual ages for the various adopted theoretical scenarios are derived. The retrieved age distributions confirm that a variation in the efficiency of superadiabatic convection in the pulsational model computations has a negligible effect, whereas a brighter mass–luminosity relation, as produced by mild overshooting, rotation, or mass-loss, implies significantly older age predictions. Moreover, older Cepheids are found at larger Galactocentric distances, while first overtone Cepheids are found to be systematically older than the fundamental ones. The comparison with independent age distribution analysis in literature supports the predictive capability of current theoretical framework.
Connecting SDSS central galaxies to their host haloes using total satellite luminosity
Authors: Alpaslan Mehmet , Tinker Jeremy L 
Published: June 2020

ABSTRACT
The total luminosity of satellite galaxies around a central galaxy, Lsat, is a powerful metric for probing dark matter haloes. We utilize data from the Sloan Digital Sky Survey and DESI Legacy Imaging Surveys to explore the relationship between Lsat and galaxy properties for a sample of 117 966 central galaxies with z ≤ 0.15. At fixed stellar mass, we find that every galaxy property we explore correlates with Lsat, suggesting that dark matter haloes can influence them. We quantify these correlations by computing the mutual information between Lsat and secondary properties and explore how this varies as a function of stellar mass and star-formation activity. We find that absolute r-band magnitude correlates more strongly with Lsat than stellar mass across all galaxy populations; and that effective radius, velocity dispersion, and Sérsic index do so as well for star-forming and quiescent galaxies. Lsat is influenced by the mass of the host halo as well as the halo formation history, with younger haloes having higher Lsat. Lsat cannot distinguish between these two effects, but measurements of galaxy large-scale environment can break this degeneracy. For star-forming centrals, Reff, σv, and Sérsic index all correlate with large-scale density, implying that the halo age affects these properties. For quiescent galaxies, all secondary properties are independent of environment, implying that correlations with Lsat are driven only by halo mass. These results are a significant step forward in quantifying the extent of the galaxy–halo connection, and present a new test of galaxy formation models.
When do cosmic peaks, filaments or walls merge? A theory of critical events in a multi-scale landscape.
Authors: Cadiou C , Pichon C , Codis S , Musso M , Pogosyan D , Dubois Y , Cardoso J-F , Prunet S 
Published: June 2020

Abstract
The merging rate of cosmic structures is computed, relying on the Ansatz that they can be predicted in the initial linear density field from the coalescence of critical points with increasing smoothing scale, used here as a proxy for cosmic time. Beyond the mergers of peaks with saddle points (a proxy for halo mergers), we consider the coalescence and nucleation of all sets of critical points, including wall-saddle to filament-saddle and wall-saddle to minima (a proxy for filament and void mergers respectively), as they impact the geometry of galactic infall, and in particular filament disconnection. Analytical predictions of the one-point statistics are validated against multiscale measurements in 2D and 3D realisations of Gaussian random fields (the corresponding code being available upon request) and compared qualitatively to cosmological N-body simulations at early times (z ≥ 10) and large scales (≥ 5Mpc/h). The rate of filament coalescence is compared to the merger rate of haloes and the two-point clustering of these events is computed, along with their cross-correlations with critical points. These correlations are qualitatively consistent with the preservation of the connectivity of dark matter haloes, and the impact of the large scale structures on assembly bias. The destruction rate of haloes and voids as a function of mass and redshift is quantified down to z = 0 for a ΛCDM cosmology. The one-point statistics in higher dimensions are also presented, together with consistency relations between critical point and critical event counts.
Accretion-induced prompt black hole formation in asymmetric neutron star mergers, dynamical ejecta, and kilonova signals
Authors: Bernuzzi Sebastiano , Breschi Matteo , Daszuta Boris , Endrizzi Andrea , Logoteta Domenico , Nedora Vsevolod , Perego Albino , Radice David , Schianchi Federico , Zappa Francesco , Bombaci Ignazio , Ortiz Nestor 
Published: June 2020

ABSTRACT
We present new numerical relativity results of neutron star (NS) mergers with chirp mass 1.188 M⊙ and mass ratios q = 1.67 and q = 1.8 using finite-temperature equations of state (EOS), approximate neutrino transport, and a subgrid model for magnetohydrodynamics-induced turbulent viscosity. The EOS are compatible with nuclear and astrophysical constraints and include a new microphysical model derived from ab initio calculations based on the Brueckner–Hartree–Fock approach. We report for the first time evidence for accretion-induced prompt collapse in high-mass-ratio mergers, in which the tidal disruption of the companion and its accretion on to the primary star determine prompt black hole (BH) formation. As a result of the tidal disruption, an accretion disc of neutron-rich and cold matter forms with baryon masses ∼0.15 M⊙, and it is significantly heavier than the remnant discs in equal-masses prompt-collapse mergers. Massive dynamical ejecta of the order of ∼0.01 M⊙ also originate from the tidal disruption. They are neutron-rich and expand from the orbital plane with a crescent-like geometry. Consequently, bright, red, and temporally extended kilonova emission is predicted from these mergers. Our results show that prompt BH mergers can power bright electromagnetic counterparts for high-mass-ratio binaries, and that the binary mass ratio can be, in principle, constrained from multimessenger observations.
Toward a translationally independent RNA-based synthetic oscillator using deactivated CRISPR-Cas
Authors: Kuo James , Yuan Ruoshi , Sánchez Carlos , Paulsson Johan , Silver Pamela A 
Published: June 2020

Abstract
In synthetic circuits, CRISPR-Cas systems have been used effectively for endpoint changes from an initial state to a final state, such as in logic gates. Here, we use deactivated Cas9 (dCas9) and deactivated Cas12a (dCas12a) to construct dynamic RNA ring oscillators that cycle continuously between states over time in bacterial cells. While our dCas9 circuits using 103-nt guide RNAs showed irregular fluctuations with a wide distribution of peak-to-peak period lengths averaging approximately nine generations, a dCas12a oscillator design with 40-nt CRISPR RNAs performed much better, having a strongly repressed off-state, distinct autocorrelation function peaks, and an average peak-to-peak period length of ∼7.5 generations. Along with free-running oscillator circuits, we measure repression response times in open-loop systems with inducible RNA steps to compare with oscillator period times. We track thousands of cells for 24+ h at the single-cell level using a microfluidic device. In creating a circuit with nearly translationally independent behavior, as the RNAs control each others’ transcription, we present the possibility for a synthetic oscillator generalizable across many organisms and readily linkable for transcriptional control.
Empirical estimates of regional carbon budgets imply reduced global soil heterotrophic respiration
Authors: Ciais Philippe , Yao Yitong , Gasser Thomas , Baccini Alessandro , Wang Yilong , Lauerwald Ronny , Peng Shushi , Bastos Ana , Li Wei , Raymond Peter A , Canadell Josep G , Peters Glen P , Andres Rob J , Chang Jinfeng , Yue Chao , Dolman A Johannes , Haverd Vanessa , Hartmann Jens , Laruelle Goulven , Konings Alexandra G , King Anthony W , Liu Yi , Luyssaert Sebastiaan , Maignan Fabienne , Patra Prabir K , Peregon Anna , Regnier Pierre , Pongratz Julia , Poulter Benjamin , Shvidenko Anatoly , Valentini Riccardo , Wang Rong , Broquet Grégoire , Yin Yi , Zscheischler Jakob , Guenet Bertrand , Goll Daniel S , Ballantyne Ashley-P , Yang Hui , Qiu Chunjing , Zhu Dan 
Published: June 2020

Abstract
Resolving regional carbon budgets is critical for informing land-based mitigation policy. For nine regions covering nearly the whole globe, we collected inventory estimates of carbon-stock changes complemented by satellite estimates of biomass changes where inventory data are missing. The net land–atmospheric carbon exchange (NEE) was calculated by taking the sum of the carbon-stock change and lateral carbon fluxes from crop and wood trade, and riverine-carbon export to the ocean. Summing up NEE from all regions, we obtained a global ‘bottom-up’ NEE for net land anthropogenic CO2 uptake of –2.2 ± 0.6 PgC yr−1 consistent with the independent top-down NEE from the global atmospheric carbon budget during 2000–2009. This estimate is so far the most comprehensive global bottom-up carbon budget accounting, which set up an important milestone for global carbon-cycle studies. By decomposing NEE into component fluxes, we found that global soil heterotrophic respiration amounts to a source of CO2 of 39 PgC yr−1 with an interquartile of 33–46 PgC yr−1—a much smaller portion of net primary productivity than previously reported.
Disseminated Intravascular Infection Caused by Paecilomyces variotii: Case Report and Review of the Literature
Authors: Lazarus Jacob E , Branda John A , Gandhi Ronak G , Barshak Miriam B , Zachary Kimon C , Barczak Amy K 
Published: June 2020

Abstract
Paecilomyces variotii is a ubiquitous environmental saprophyte with worldwide distribution. Commonly found in soil and decomposing organic material [1, 2], P. variotii can also be isolated from drinking water [3] and indoor and outdoor air [4–6]. In immunocompetent hosts, P. variotii has been reported as a cause of locally invasive disease including prosthetic valve endocarditis [7, 8], endophthalmitis [9, 10], rhinosinusitis [11, 12], and dialysis-associated peritonitis [13, 14]. In contrast, disseminated infections are more commonly reported in immunocompromised patients, including those with chronic granulomatous disease [15], solid malignancy [16], acute leukemia [17], lymphoma [18], multiple myeloma [19], and after stem cell transplant for myelodysplasia [20]. In 1 case series examining invasive infections by non-Aspergillus molds, P. variotii was the most common cause after Fusarium spp. [21]. Here, we present the case of an immunocompetent patient with extensive intravascular infection involving prosthetic material. We describe successful induction therapy with combination antifungals and extended suppression with posaconazole with clinical quiescence and eventual normalization of serum fungal biomarkers.