bluuebunny/crossref_metadata_2025_split huggingface dataset:
Earthquakes and Seismic Hazard in Southern New Caledonia, Southwest Pacific
Authors: Chin Shao‐Jinn , Sutherland Rupert , Savage Martha K. , Townend John , Collot Julien , Pelletier Bernard , Monge Olivier , Illsley‐Kemp Finnigan 
Published: November 2022

AbstractWe use 12 temporary and 9 permanent broadband seismometers that were operating for ∼400 days from October 2018 to November 2019 to generate the first published earthquake catalog and local magnitude function for southern New Caledonia (SNC). Local hypocenters mostly have depths <20 km, but east of the New Hebrides‐Vanuatu subduction zone they deepen to >100 km. Our local magnitude estimates ML for 107 earthquakes in the subduction zone are consistently 1.1 units smaller than Mw and mb over a range of Mw from 4.5 to 7.5, as determined by the United States Geological Survey. Our catalog has 460 earthquakes with Mw≥3.7 in the subduction zone and the largest event in SNC has ML 3.8. Seismicity rates in SNC are low, but ML> 5 earthquakes are 2.7 times more frequent than elsewhere in the northern Australian plate. The probability of an ML> 5 event in 50 years is 0.6 in SNC. The hazard of damaging seismic shaking in SNC is dominated by local moderate‐magnitude earthquakes, rather than large‐magnitude subduction events. The predicted peak ground acceleration for Nouméa at 10% probability of exceedance in 50 years is 0.08 g. Residual analysis of ground accelerations demonstrates that the hazard for Nouméa from subduction zone earthquakes is currently overestimated and that new regionally specific ground motion prediction equations (GMPEs) are needed. Our results highlight the inadequacy of current GMPEs in subduction zone footwall settings and the need for additional studies of this type of setting.
The EMERALD Model for the Estimation of the Radial Diffusion Coefficients in the Outer Belt
Authors: Aminalragia‐Giamini S. , Katsavrias C. , Papadimitriou C. , Daglis I. A. , Nasi A. , Brunet A. , Bourdarie S. , Dahmen N. , Balasis G. 
Published: November 2022

AbstractRadial diffusion is one of the dominant physical mechanisms driving acceleration and loss of electrons in the outer radiation belt. Therefore, the accurate estimation of radial diffusion coefficients (DLL) is crucial for detailed radiation belt modeling. In recent years several semi‐empirical (SE) models have been developed for the estimation of radial diffusion coefficients which predominantly rely on parameterizations of the Kp index. However, several studies have suggested that the estimations derived from such models can have large deviations from actual (measurement derived) DLL values. In this work we have used the extensive DLL database created in the framework of the Horizon 2020 SafeSpace project which spans 9 years of hourly DLL calculations to develop a model which uses solely solar wind parameters for the derivation of DLL values. The Electric and MagnEtic RAdiaL Diffusion (EMERALD) model is able to derive simultaneously the magnetic and electric components ( and , respectively) of the radial diffusion coefficient, and furthermore, provide realistic confidence levels on their estimation, which allows the transition from a deterministic paradigm to a robust probabilistic one. Evaluations on the performance of the EMERALD model are shown by comparing its outputs to the DLL data, and examining the reproduction of various DLL characteristics. Finally, comparisons with widely used SE models are shown and discussed.
Strong cloud–circulation coupling explains weak trade cumulus feedback
Authors: Vogel Raphaela , Albright Anna Lea , Vial Jessica , George Geet , Stevens Bjorn , Bony Sandrine 
Published: November 2022

AbstractShallow cumulus clouds in the trade-wind regions cool the planet by reflecting solar radiation. The response of trade cumulus clouds to climate change is a key uncertainty in climate projections1–4. Trade cumulus feedbacks in climate models are governed by changes in cloud fraction near cloud base5,6, with high-climate-sensitivity models suggesting a strong decrease in cloud-base cloudiness owing to increased lower-tropospheric mixing5–7. Here we show that new observations from the EUREC4A (Elucidating the role of cloud-circulation coupling in climate) field campaign8,9 refute this mixing-desiccation hypothesis. We find the dynamical increase of cloudiness through mixing to overwhelm the thermodynamic control through humidity. Because mesoscale motions and the entrainment rate contribute equally to variability in mixing but have opposing effects on humidity, mixing does not desiccate clouds. The magnitude, variability and coupling of mixing and cloudiness differ markedly among climate models and with the EUREC4A observations. Models with large trade cumulus feedbacks tend to exaggerate the dependence of cloudiness on relative humidity as opposed to mixing and also exaggerate variability in cloudiness. Our observational analyses render models with large positive feedbacks implausible and both support and explain at the process scale a weak trade cumulus feedback. Our findings thus refute an important line of evidence for a high climate sensitivity10,11.
The pupal moulting fluid has evolved social functions in ants
Authors: Snir Orli , Alwaseem Hanan , Heissel Søren , Sharma Anurag , Valdés-Rodríguez Stephany , Carroll Thomas S. , Jiang Caroline S. , Razzauti Jacopo , Kronauer Daniel J. C. 
Published: November 2022

AbstractInsect societies are tightly integrated, complex biological systems in which group-level properties arise from the interactions between individuals1–4. However, these interactions have not been studied systematically and therefore remain incompletely known. Here, using a reverse engineering approach, we reveal that unlike solitary insects, ant pupae extrude a secretion derived from the moulting fluid that is rich in nutrients, hormones and neuroactive substances. This secretion elicits parental care behaviour and is rapidly removed and consumed by the adults. This behaviour is crucial for pupal survival; if the secretion is not removed, pupae develop fungal infections and die. Analogous to mammalian milk, the secretion is also an important source of early larval nutrition, and young larvae exhibit stunted growth and decreased survival without access to the fluid. We show that this derived social function of the moulting fluid generalizes across the ants. This secretion thus forms the basis of a central and hitherto overlooked interaction network in ant societies, and constitutes a rare example of how a conserved developmental process can be co-opted to provide the mechanistic basis of social interactions. These results implicate moulting fluids in having a major role in the evolution of ant eusociality.
Dopamine promotes head direction plasticity during orienting movements
Authors: Fisher Yvette E. , Marquis Michael , D’Alessandro Isabel , Wilson Rachel I. 
Published: November 2022

AbstractIn neural networks that store information in their connection weights, there is a tradeoff between sensitivity and stability1,2. Connections must be plastic to incorporate new information, but if they are too plastic, stored information can be corrupted. A potential solution is to allow plasticity only during epochs when task-specific information is rich, on the basis of a ‘when-to-learn’ signal3. We reasoned that dopamine provides a when-to-learn signal that allows the brain’s spatial maps to update when new spatial information is available—that is, when an animal is moving. Here we show that the dopamine neurons innervating the Drosophila head direction network are specifically active when the fly turns to change its head direction. Moreover, their activity scales with moment-to-moment fluctuations in rotational speed. Pairing dopamine release with a visual cue persistently strengthens the cue’s influence on head direction cells. Conversely, inhibiting these dopamine neurons decreases the influence of the cue. This mechanism should accelerate learning during moments when orienting movements are providing a rich stream of head direction information, allowing learning rates to be low at other times to protect stored information. Our results show how spatial learning in the brain can be compressed into discrete epochs in which high learning rates are matched to high rates of information intake.
Undecaprenyl phosphate translocases confer conditional microbial fitness
Authors: Sit Brandon , Srisuknimit Veerasak , Bueno Emilio , Zingl Franz G. , Hullahalli Karthik , Cava Felipe , Waldor Matthew K. 
Published: November 2022

AbstractThe microbial cell wall is essential for maintenance of cell shape and resistance to external stressors1. The primary structural component of the cell wall is peptidoglycan, a glycopolymer with peptide crosslinks located outside of the cell membrane1. Peptidoglycan biosynthesis and structure are responsive to shifting environmental conditions such as pH and salinity2–6, but the mechanisms underlying such adaptations are incompletely understood. Precursors of peptidoglycan and other cell surface glycopolymers are synthesized in the cytoplasm and then delivered across the cell membrane bound to the recyclable lipid carrier undecaprenyl phosphate7 (C55-P, also known as UndP). Here we identify the DUF368-containing and DedA transmembrane protein families as candidate C55-P translocases, filling a critical gap in knowledge of the proteins required for the biogenesis of microbial cell surface polymers. Gram-negative and Gram-positive bacteria lacking their cognate DUF368-containing protein exhibited alkaline-dependent cell wall and viability defects, along with increased cell surface C55-P levels. pH-dependent synthetic genetic interactions between DUF368-containing proteins and DedA family members suggest that C55-P transporter usage is dynamic and modulated by environmental inputs. C55-P transporter activity was required by the cholera pathogen for growth and cell shape maintenance in the intestine. We propose that conditional transporter reliance provides resilience in lipid carrier recycling, bolstering microbial fitness both inside and outside the host.
Comparison between biparametric and multiparametric MRI in predicting muscle invasion by bladder cancer based on the VI-RADS
Authors: Noh Tae Il , Shim Ji Sung , Kang Sung Gu , Sung Deuk Jae , Cheon Jun , Sim Ki Choon , Kang Seok Ho 
Published: November 2022

AbstractThis study aimed to compare the diagnostic validity of biparametric magnetic resonance imaging (bpMRI) with that of multiparametric MRI (mpMRI) based on the Vesicle Imaging-Reporting and Data System (VI-RADS) in predicting muscle invasion by bladder cancer (BCa). We retrospectively examined 357 patients with an initial diagnosis of BCa who underwent preoperative MRI; 257 and 100 patients underwent mpMRI and bpMRI, respectively. Two urogenital radiologists evaluated all bpMRI and mpMRI scans using VI-RADS, and the diagnostic validity of VI-RADS for predicting muscle invasion by BCa was analyzed based on histopathology of the first and/or second transurethral resection of bladder tumors and radical cystectomy. Receiver operating characteristic (ROC) curves were plotted with the calculation of area under the curves (AUCs), and the level of significance was P < 0.05. Both groups showed optimal performance with a VI-RADS score ≥ 3. BpMRI showed comparable diagnostic performance to mpMRI (reader 1: AUC, 0.903 [0.827–0.954] vs. 0.935 [0.884–0.968], p = 0.510; and reader 2: AUC, 0.901 [0.814–0.945] vs. 0.915 [0.874–0.946]; p = 0.655). The inter-reader agreement between both readers was excellent (Cohen’s kappa value = 0.942 and 0.905 for bpMRI and mpMRI, respectively). This comparative study suggests that bpMRI has comparable diagnostic performance to mpMRI and may be an alternative option to predict muscle invasion by BCa.
Minimal and maximal lengths of quantum gravity from non-hermitian position-dependent noncommutativity
Authors: Lawson Latévi M. 
Published: November 2022

AbstractA minimum length scale of the order of Planck length is a feature of many models of quantum gravity that seek to unify quantum mechanics and gravitation. Recently, Perivolaropoulos in his seminal work (Perivolaropoulos in Phys. Rev. D 95:103523, 2017) predicted the simultaneous existence of minimal and maximal length measurements of quantum gravity. More recently, we have shown that both measurable lengths can be obtained from position-dependent noncommutativity (Lawson in J. Phys. A Math.Theor. 53:115303, 2020). In this paper, we present an alternative derivation of these lengths from non-Hermitian position-dependent noncommutativity. We show that a simultaneous measurement of both lengths form a family of discrete spaces. In one hand, we show the similarities between the maximal uncertainty measurement and the classical properties of gravity. On the other hand, the connection between the minimal uncertainties and the non-Hermicity quantum mechanic scenarios. The existence of minimal uncertainties are the consequences of non-Hermicities of some operators that are generators of this noncommutativity. With an appropriate Dyson map, we demonstrate by a similarity transformation that the physically meaningfulness of dynamical quantum systems is generated by a hidden Hermitian position-dependent noncommutativity. This transformation preserves the properties of quantum gravity but removes the fuzziness induced by minimal uncertainty measurements at this scale. Finally, we study the eigenvalue problem of a free particle in a square-well potential in these new Hermitian variables.
Improving deep learning performance for predicting large-scale geological $${{CO}_{2}}$$ sequestration modeling through feature coarsening
Authors: Yan Bicheng , Harp Dylan Robert , Chen Bailian , Pawar Rajesh J. 
Published: November 2022

AbstractPhysics-based reservoir simulation for fluid flow in porous media is a numerical simulation method to predict the temporal-spatial patterns of state variables (e.g. pressure p) in porous media, and usually requires prohibitively high computational expense due to its non-linearity and the large number of degrees of freedom (DoF). This work describes a deep learning (DL) workflow to predict the pressure evolution as fluid flows in large-scale 3-dimensional(3D) heterogeneous porous media. In particular, we develop an efficient feature coarsening technique to extract the most representative information and perform the training and prediction of DL at the coarse scale, and further recover the resolution at the fine scale by spatial interpolation. We validate the DL approach to predict pressure field against physics-based simulation data for a field-scale 3D geologic $$CO_2$$

C

O
2

sequestration reservoir model. We evaluate the impact of feature coarsening on DL performance, and observe that the feature coarsening not only decreases the training time by $$>74\%$$

>
74
%

and reduces the memory consumption by $$>75\%$$

>
75
%

, but also maintains temporal error $$0.63\%$$

0.63
%

on average. Besides, the DL workflow provides predictive efficiency with 1406 times speedup compared to physics-based numerical simulation. The key findings from this research significantly improve the training and prediction efficiency of deep learning model to deal with large-scale heterogeneous reservoir models, and thus it can also be further applied to accelerate workflows of history matching and reservoir optimization for close-loop reservoir management.
Hepatitis A virus seroprevalence among children and adolescents in a high-burden HIV setting in urban South Africa
Authors: du Plessis Nicolette M. , Haeri Mazanderani Ahmad , Motaze Nkengafac Villyen , Ngobese Makhosazane , Avenant Theunis 
Published: November 2022

AbstractHepatitis A virus (HAV) infection is one of the most important global causes of viral hepatitis. Recent reviews suggested that HAV endemicity in South Africa could shift from high to intermediate. A hospital-based HAV seroprevalence study was conducted between February 2018 and December 2019 in Pretoria, South Africa. Systematic sampling was performed on children and adolescents (1–15 years) who attended outpatient services. Participants with a known HIV status and valid HAV serology results were included. Of the 1220 participants, the median age was 7 years (IQR: 4–11), with 648 (53.11%) males and 572 (46.89%) females. Of 628 (51.48%) HIV-infected participants, most (329, 71.83%) were both immunologically and virologically controlled or had low-level viremia (74, 16.16%). Almost three-quarters (894, 73.28%) were living in formal dwellings, and just over half (688, 56.39%) had access to clean water sources inside the house. Increasing age was associated with testing HAV IgG-positive (OR 1.25; 95% CI 1.20–1.30, p < 0.001), with 19.8% of participants one year of age compared with 86.7% of participants 15 years of age. This study suggests that South Africa has an intermediate HAV seroprevalence, with rates < 90% by 10 years of age (68.6%). Increased age and informal dwellings are statistically associated with HAV seropositivity, while HIV status does not significantly influence HAV seropositivity.
Novel pectin-based nanocomposite film for active food packaging applications
Authors: Sharaby Muhammed R. , Soliman Emad A. , Abdel-Rahman Adel B. , Osman Ahmed , Khalil Rowaida 
Published: November 2022

AbstractNovel pectin-based films reinforced with crystalline nanocellulose (CNC) and activated with zinc oxide nanoparticles (ZnO NPs) were prepared by solvent-casting method. Film ingredients enhanced UV-blocking, thermal, and antibacterial properties of active films against well-known foodborne pathogens. Optimal active films exhibited higher mechanical, water vapor barrier properties compared to pristine pectin films. SEM confirmed the even distribution of CNC and ZnO NPs in pectin matrix and their interactions were proven using FTIR. Wrapping hard cheese samples artificially contaminated with Staphylococcus aureus and Salmonella enterica with the ternary nanocomposite film at 7 °C for 5 days significantly reduced the total population counts by at least 1.02 log CFU/g. Zn2+ migrating to wrapped cheese samples was below the specific limit (5 mg/kg), confirming their safety for food contact. Overall, ZnO/CNC/pectin nanocomposite films represent promising candidates for active food packaging as safe, eco-friendly alternatives for synthetic packaging materials.
A meta-analysis of pre-pregnancy maternal body mass index and placental DNA methylation identifies 27 CpG sites with implications for mother-child health
Authors: Fernandez-Jimenez Nora , Fore Ruby , Cilleros-Portet Ariadna , Lepeule Johanna , Perron Patrice , Kvist Tuomas , Tian Fu-Ying , Lesseur Corina , Binder Alexandra M. , Lozano Manuel , Martorell-Marugán Jordi , Loke Yuk J. , Bakulski Kelly M. , Zhu Yihui , Forhan Anne , Sammallahti Sara , Everson Todd M. , Chen Jia , Michels Karin B. , Belmonte Thalia , Carmona-Sáez Pedro , Halliday Jane , Daniele Fallin M. , LaSalle Janine M. , Tost Jorg , Czamara Darina , Fernández Mariana F. , Gómez-Martín Antonio , Craig Jeffrey M. , Gonzalez-Alzaga Beatriz , Schmidt Rebecca J. , Dou John F. , Muggli Evelyne , Lacasaña Marina , Vrijheid Martine , Marsit Carmen J. , Karagas Margaret R. , Räikkönen Katri , Bouchard Luigi , Heude Barbara , Santa-Marina Loreto , Bustamante Mariona , Hivert Marie-France , Bilbao Jose Ramon 
Published: November 2022

AbstractHigher maternal pre-pregnancy body mass index (ppBMI) is associated with increased neonatal morbidity, as well as with pregnancy complications and metabolic outcomes in offspring later in life. The placenta is a key organ in fetal development and has been proposed to act as a mediator between the mother and different health outcomes in children. The overall aim of the present work is to investigate the association of ppBMI with epigenome-wide placental DNA methylation (DNAm) in 10 studies from the PACE consortium, amounting to 2631 mother-child pairs. We identify 27 CpG sites at which we observe placental DNAm variations of up to 2.0% per 10 ppBMI-unit. The CpGs that are differentially methylated in placenta do not overlap with CpGs identified in previous studies in cord blood DNAm related to ppBMI. Many of the identified CpGs are located in open sea regions, are often close to obesity-related genes such as GPX1 and LGR4 and altogether, are enriched in cancer and oxidative stress pathways. Our findings suggest that placental DNAm could be one of the mechanisms by which maternal obesity is associated with metabolic health outcomes in newborns and children, although further studies will be needed in order to corroborate these findings.
A novel energy management model among interdependent sections in the smart grids
Authors: Maroufi Ali , Mobtahej Mohammadamin , Karimi Mazaher , Baziar Aliasghar 
Published: November 2022

AbstractTechnically, residential energy management systems are fundamental sectors in the smart grids for implementing demand response programs in the layer of households for managing energy consumption and reducing energy bills. The paper proposes a novel energy management scheme that takes production and usage into account based on a heuristic searching operation. In addition to modelling the grid, renewable energy sources, batteries, and electric vehicles, various kinds of electrical and thermal devices have been examined, including air conditioners, water heaters, vacuum cleaners etc. A method is developed for solving the objective constraint issue in a smart home in order to reduce energy consumption and determine feasible operation states among the various loads. Moreover, this paper proposes a grey wolf optimization method for solving the issue over a longer simulation period. Various cases were examined to evaluate the effectiveness of this suggested robust optimization algorithm. The outcomes show that the suggested model could not only reduce energy costs significantly but has also shown good performance for energy management purposes.
Revealing phase transitions and instabilities in pseudospark discharges
Authors: Yan Jiaqi , Shen Saikang , Sun Guoxiang , Ding Weidong , Wang Weizong 
Published: November 2022

AbstractPseudospark discharge is a low‐pressure high‐voltage pulsed discharge with hollow electrodes, and the overall discharge experiences several distinctive sub‐phases. The instability phenomena, characterised by the sudden oscillations or distortions of discharge voltage and current, restrict the applications of pseudospark discharge. This study presents an investigation into phase transitions and instabilities in pseudospark discharge by combining the evidences from multiple discharge waveforms, time‐resolved images, electron beam current profiles, 2D kinetic simulation results, and the spectral line emission of cathode material. The process of a normal pseudospark discharge is firstly discussed, and the threshold conditions of the transition from the superdense glow discharge (SGD) phase to the high current phase with arc cathode spots are addressed. According to temporal profiles and voltage‐current characteristics, two types and four occurrences of instabilities are distinguished: type I—in the pre‐breakdown phase; type II‐1—in the SGD phase; type II‐2—in the transition of cathode spots propagating from cathode hole edge to cathode plane; type II‐3—in the re‐initiation of spots near current reversal. It is found that the instability of type I is caused by the stepwise penetration of virtual anode plasma, and type II is closely related to the cyclic nature and finite lifetime of cathode spots. It is induced by the fact that the decay of cathode spots is faster than the formation under certain conditions, and the existing spots are not able to provide the current required by the external circuit. Important features and the suppression methods of the instabilities are discussed based on the proposed mechanisms.