bluuebunny/crossref_metadata_2025_split huggingface dataset:
Periodic dynamics in superconductors induced by an impulsive optical quench
Authors: Dolgirev Pavel E. , Zong Alfred , Michael Marios H. , Curtis Jonathan B. , Podolsky Daniel , Cavalleri Andrea , Demler Eugene 
Published: September 2022

AbstractA number of experiments have evidenced signatures of enhanced superconducting correlations after photoexcitation. Initially, these experiments were interpreted as resulting from quasi-static changes in the Hamiltonian parameters, for example, due to lattice deformations or melting of competing phases. Yet, several recent observations indicate that these conjectures are either incorrect or do not capture all the observed phenomena, which include reflectivity exceeding unity, large shifts of Josephson plasmon edges, and appearance of new peaks in terahertz reflectivity. These observations can be explained from the perspective of a Floquet theory involving a periodic drive of system parameters, but the origin of the underlying oscillations remains unclear. In this paper, we demonstrate that following incoherent photoexcitation, long-lived oscillations are generally expected in superconductors with low-energy Josephson plasmons, such as in cuprates or fullerene superconductor K3C60. These oscillations arise from the parametric generation of plasmon pairs due to pump-induced perturbation of the superconducting order parameter. We show that this bi-plasmon response can persist even above the transition temperature as long as strong superconducting fluctuations are present. Our analysis offers a robust framework to understand light-induced superconducting behavior, and the predicted bi-plasmon oscillations can be directly detected using available experimental techniques.
Stable ocean redox during the main phase of the Great Ordovician Biodiversification Event
Authors: del Rey Álvaro , Rasmussen Christian Mac Ørum , Calner Mikael , Wu Rongchang , Asael Dan , Dahl Tais W. 
Published: September 2022

AbstractThe Great Ordovician Biodiversification Event (GOBE) represents the greatest increase in marine animal biodiversity ever recorded. What caused this transformation is heavily debated. One hypothesis states that rising atmospheric oxygen levels drove the biodiversification based on the premise that animals require oxygen for their metabolism. Here, we present uranium isotope data from a Middle Ordovician marine carbonate succession that shows the steepest rise in generic richness occurred with global marine redox stability. Ocean oxygenation ensued later and could not have driven the biodiversification. Stable marine anoxic zones prevailed during the maximum increase in biodiversity (Dapingian–early Darriwilian) when the life expectancy of evolving genera greatly increased. Subsequently, unstable ocean redox conditions occurred together with a marine carbon cycle disturbance and a decrease in relative diversification rates. Therefore, we propose that oceanic redox stability was a factor in facilitating the establishment of more resilient ecosystems allowing marine animal life to radiate.
Olanzapine add-on treatment promotes neuronal differentiation of neural stem cells compared with fluoxetine alone
Authors: Sun Jiantong , Wu Danlian , Xu Guangjuan , Chen Fang , Ding Xinyuan , Xie Linjun , Yu Zhangfeng , Jin Xing 
Published: September 2022

Abstract
The addition of olanzapine to fluoxetine produces an antidepressant effect on fluoxetine nonresponders. Promoting hippocampal neurogenesis is associated with the successful treatment of depression. The present study aimed to investigate the interaction of olanzapine and fluoxetine in regulating neurogenesis. We found that fluoxetine alone does not affect cell proliferation and inhibits the neuronal differentiation of cultured neural stem cells (NSCs), but promotes NSCs proliferation and exerts no effect on neuronal fate when NSCs are cocultured with neurons. In addition, fluoxetine alone also does not alter the neuronal fate of newborn hippocampal cells in vivo. Although fluoxetine treatment elicits different results, our data consistently show that olanzapine alone does not affect the proliferation and neuronal differentiation of NSCs. The combination of olanzapine and fluoxetine has no profound effect on NSCs proliferation compared with fluoxetine alone, but olanzapine add-on treatment produces a greater number and percentage of differentiated neurons from NSCs. Further investigations are needed to explore the underlying mechanisms of the increased neurogenesis caused by the combination of olanzapine with fluoxetine.
Global dynamics and architecture of the Kepler-444 system
Authors: Stalport M. , Matthews E. C. , Bourrier V. , Leleu A. , Delisle J.-B. , Udry S. 
Published: September 2022

Context. S-type planets, which orbit one component of multiple-star systems, place strong constraints on planet formation and evolution models. A notable case study is Kepler-444, a triple-star system whose primary is orbited by five planets smaller than Venus in a compact configuration, and for which the stellar binary companion revolves around the primary on a highly eccentric orbit.
Aims. Several open questions remain about the formation and evolution of Kepler-444. Having access to the most precise up-to-date masses and orbital parameters is highly valuable when tackling those questions. We provide the first full dynamical exploration of this system, with the goal being to refine those parameters.
Methods. We apply orbital stability arguments to refine the system parameters on models with and without the stellar binary companion in order to understand the origin of the dynamical constraints. This approach makes use of the numerical analysis of fundamental frequencies fast chaos indicator. We also explore potential two- and three-planet mean-motion resonances (MMRs) in the system. Prior to investigating the dynamics of a model that includes the binary companion, we update its orbital parameters and mass using new observational constraints from both HIRES radial velocity and Gaia astrometric data, as well as archival imaging of the system.
Results. The planetary system does not appear in any of the low-order two- or three-planet MMRs. We provide the most precise up-to-date dynamical parameters for the planets and the stellar binary companion. The orbit of the latter is constrained by the new observations, and also by the stability analysis. This update further challenges the planets formation processes. We also test the dynamical plausibility of a sixth planet in the system, following hints found in HST data. We find that this putative planet could exist over a broad range of masses, and with an orbital period of between roughly 12 and 20 days.
Conclusions. We note the overall good agreement of the system with short-term orbital stability. This suggests that a diverse range of planetary system architectures could be found in multiple-star systems, potentially challenging the planet formation models further.
“Feel sorry for Miss translator!!!”
Authors: Yang Yuhong 
Published: September 2022

Abstract
This article approaches user reception of interpreting events by investigating video users’ parasocial interactions about a specific interpreter on the danmu interface. The video of Chinese athlete Sun Yang’s public hearing (facilitated by an ad hoc interpreter) hosted on the Chinese video-sharing site, Bilibili, was chosen as a case study. Proceeding from an adapted parasocial interaction framework that features nine underlying parasocial processes, this study categorizes and analyses users’ danmu comments directed at the interpreter, mainly qualitatively but also quantitatively. It also examines them as manifestations or verbalizations of their parasocial interactions with the interpreter on screen in cognitive and affective dimensions. The findings show users’ noticeable preference for engaging in evaluation- and comprehension-oriented interactions and expressing their sympathy and empathy towards the interpreter. The findings also show that the parasocial interaction framework usefully accommodates a plethora of user reactions to the interpreter and their performance and offers a way of investigating relevant utterances systematically in a seemingly chaotic danmu space.
Ag-decorated ZnO-based nanocomposites for visible light-driven photocatalytic degradation: basic understanding and outlook
Authors: Zhang Qiuping , Li Jing , Xu Ming 
Published: September 2022

Abstract
Heterogeneous photocatalytic processes have exhibited tremendous potential in the field of solar energy and environmental remediation. Next to TiO2, ZnO has been widely used as a promising photocatalyst material in recent years. However, several noticeable drawbacks make it less effective, such as poor solar-light harvesting and rapid recombination of photo-excited charge carriers. To overcome these drawbacks, the decoration of noble metal nanoparticles on ZnO surfaces is a feasible strategy due to its localized surface plasmon resonance absorption, which aggrandizes the visible absorption of ZnO. In addition, the formation of the Schottky barrier at the metal-semiconductor interface can effectively separate photo-induced charge carriers. Among theses noble metals, due to the high conductivity, antimicrobial activity, mechanical thermal strength, and electrical double layer capacitance of silver (Ag), Ag-decorated ZnO (ZnO/Ag) nano-photocatalysts have exhibited remarkable photocatalytic efficiency and high cost performance for the degradation of organic pollutants, endowing them with growing potential in applications. In this review, we focus on the recent advancements (including the fundamental degradation mechanisms, synthesis methods, corresponding applications, and optimized strategies ) in ZnO/Ag-based photocatalysts for visible light-driven photocatalytic degradation, and conclude with a perspective on the future direction and prospects for these types of nanocomposite photocatalysts.
Frenkel pair formation energy for cubic Fe3O4 in DFT + U calculations
Authors: Shutikova M I , Stegailov V V 
Published: September 2022

Abstract
The cubic phase of magnetite is stabilized above the Verwey transition temperature of about 120 K via a complex electron–phonon interaction that is still not very well understood. In this work using the DFT + U method we describe our attempt to calculate point defect formation energies for this cubic phase in the static approximation. The electronic structure calculations and atomic relaxation peculiarities are discussed in this context. Only the cubic phase model with a small band gap and charge disproportionation (Fe2+/Fe3+) gives an adequate point defect formation energies, not the semi-metallic model. The relaxation of the local defect atomic structure and the relaxation of the surrounding crystal matrix are analyzed. Point defects cause only local perturbations of atomic positions and charge-orbital order. After analysis of the supercell size effects for up to 448 atoms, we justify the use of small supercells with 56 atoms to make calculations for the cubic phase. The extensive experimental results of Dieckmann et al on defects in magnetite at high temperature are deployed for comparison of our DFT + U results on Frenkel pair formation energies.
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research
Authors: Pati Sarthak , Baid Ujjwal , Edwards Brandon , Sheller Micah J , Foley Patrick , Anthony Reina G , Thakur Siddhesh , Sako Chiharu , Bilello Michel , Davatzikos Christos , Martin Jason , Shah Prashant , Menze Bjoern , Bakas Spyridon 
Published: September 2022

AbstractObjective.De-centralized data analysis becomes an increasingly preferred option in the healthcare domain, as it alleviates the need for sharing primary patient data across collaborating institutions. This highlights the need for consistent harmonized data curation, pre-processing, and identification of regions of interest based on uniform criteria.Approach.Towards this end, this manuscript describes theFederatedTumorSegmentation (FeTS) tool, in terms of software architecture and functionality.Main results.The primary aim of the FeTS tool is to facilitate this harmonized processing and the generation of gold standard reference labels for tumor sub-compartments on brain magnetic resonance imaging, and further enable federated training of a tumor sub-compartment delineation model across numerous sites distributed across the globe, without the need to share patient data.Significance.Building upon existing open-source tools such as the Insight Toolkit and Qt, the FeTS tool is designed to enable training deep learning models targeting tumor delineation in either centralized or federated settings. The target audience of the FeTS tool is primarily the computational researcher interested in developing federated learning models, and interested in joining a global federation towards this effort. The tool is open sourced athttps://github.com/FETS-AI/Front-End.
ProTheRaMon—a GATE simulation framework for proton therapy range monitoring using PET imaging
Authors: Borys Damian , Baran Jakub , Brzeziński Karol , Gajewski Jan , Chug Neha , Coussat Aurelien , Czerwiński Eryk , Dadgar Meysam , Dulski Kamil , Eliyan Kavya V , Gajos Aleksander , Kacprzak Krzysztof , Kapłon Łukasz , Klimaszewski Konrad , Konieczka Paweł , Kopeć Renata , Korcyl Grzegorz , Kozik Tomasz , Krzemień Wojciech , Kumar Deepak , Lomax Antony J , McNamara Keegan , Niedźwiecki Szymon , Olko Paweł , Panek Dominik , Parzych Szymon , Perez del Rio Elena , Raczyński Lech , Sharma Sushil , Shivani  , Shopa Roman Y , Skóra Tomasz , Skurzok Magdalena , Stasica Paulina , Stępień Ewa Ł , Tayefi Keyvan , Tayefi Faranak , Weber Damien C , Winterhalter Carla , Wiślicki Wojciech , Moskal Paweł , Rucinski Antoni 
Published: September 2022

AbstractObjective.This paper reports on the implementation and shows examples of the use of theProTheRaMonframework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET).ProTheRaMonoffers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present theProTheRaMonframework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland.Approach.TheProTheRaMonframework is based on GATE Monte Carlo software, theCASToRreconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user’s needs and specific settings of a given proton therapy facility and PET scanner design.Main results.ProTheRaMonis presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized.Significance.We demonstrate that theProTheRaMonsimulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, theProTheRaMonframework can be adjusted for different proton therapy centers and/or different PET detector geometries. It is available to the community via github (Boryset al2022).
A novel deep learning package for electrocardiography research
Authors: Wen Hao , Kang Jingsu 
Published: September 2022

Abstract

Objective. In recent years, deep learning has blossomed in the field of electrocardiography (ECG) processing, outperforming traditional signal processing methods in a number of typical tasks; for example, classification, QRS detection and wave delineation. Although many neural architectures have been proposed in the literature, there is a lack of systematic studies and open-source libraries for ECG deep learning. Approach. In this paper, we propose a deep learning package, named torch_ecg, which assembles a large number of neural networks, from existing and novel literature, for various ECG processing tasks. The models are designed to be able to be automatically built from configuration files that contain a large set of configurable hyperparameters, making it convenient to scale the networks and perform neural architecture searching. torch_ecg has well-organized data processing modules, which contain utilities for data downloading, visualization, preprocessing and augmentation. To make the whole system more user-friendly, a series of helper modules are implemented, including model trainers, metric computation and loggers. Main results. torch_ecg establishes a convenient and modular way for automatic building and flexible scaling of networks, as well as a neat and uniform way of organizing the preprocessing procedures and augmentation techniques for preparing the input data for the models. In addition, torch_ecg provides benchmark studies using the latest databases, illustrating the principles and pipelines for solving ECG processing tasks and reproducing results from the literature. Significance. torch_ecg offers the ECG research community a powerful tool for meeting the growing demand for the application of deep learning techniques. The code is available at https://github.com/DeepPSP/torch_ecg.
Effect of Alkaline earth oxides on the ionic conductivity of Boro-Tellurite glasses for solid state ion batteries
Authors: Srinivas B , Narasimha Chary M , Shareefuddin Md 
Published: September 2022

Abstract
The complex impedance spectroscopy studies (electrical impedance, a.c. conductivity, dielectric constant, loss tangent) of the boro-tellurite glasses were measured as a function of the alkaline earth oxide content at broad range of frequencies and temperatures. Three series of boro-tellurite glasses containing BaO/SrO viz. BaO-TeO2-TiO2-B2O3 (BTTB), BaO-TeO2-B2O3 (BTB) and SrO-TeO2-TiO2-B2O3 (STTB) were prepared by the melt quenching method. The prepared glasses were characterized by XRD, DSC, density, FTIR and complex impedance spectroscopy experimental techniques. The XRD spectra exhibited no characteristic sharp peaks indicating the amorphous nature of the prepared glass samples. The glass transition temperature (Tg) values were evaluated from the DSC thermograms. The density values were found to increase with BaO content while they decreased with SrO content. This variation was attributed to the different density values of BaO and SrO. FTIR spectra revelated the presence of different structural units like BO3 and BO4. Impedance studies demonstrated that the replacement of TeO2 by the BaO content enhanced the ionic conductivity. The impedance plots of BTTB, BTB and STTB glasses exhibited nearlys semicircles. The bulk resistance (Rb) was calculated from the impedance plots. It was observed that the Rb values decrease with increasing BaO in BTTB and BTB glasses, while it increased with SrO in STTB glasses which may be attributed to the variation of mobile charge carriers. The Rb values vary as BTB > BTTB > STTB. The capacitance calculated from the impedance plots increased with increasing BaO mol% and decreasing SrO mol%. The capacitance also increased with increasing temperature. The power law exponent (k) values decrease with increasing temperature. Therefore, the ac conduction mechanism may follow correlated barrier hopping model. The real part of dielectric constant

ε
′

has high values at low frequencies, which decreased rapidly with surge of frequency. At high frequencies the contribution of charge accumulation is minimum resulting in constant

ε
′
.
Investigating S-wave bound states composed of two pseudoscalar mesons*
Authors: Li Zi-Long , Tan Xing-Yue , Zhang Zhu-Feng , Wang Zhen-Yang , Guo Xin-Heng 
Published: September 2022

Abstract
In this study, we systematically investigated two-pseudoscalar meson systems with the Bethe-Salpeter equation in the ladder and instantaneous approximations. By solving the Bethe-Salpeter equation numerically with the kernel containing the one-particle exchange diagrams, we found that the

,

,

,

,

,

,

,

, and

systems with

can exist as bound states. We also studied the contributions from heavy meson (

and

) exchanges and found that the contributions from heavy meson exchanges cannot be ignored.
Simultaneous Detection of Flare-related Decaying and Decayless Kink Oscillations Using Jerk-aware Motion Magnification
Authors: Guo Xiaowei , Liang Bo , Feng Song , Dai Wei , Yang Yunfei 
Published: September 2022

Abstract
Kink oscillations of coronal loops are often influenced by external events and this results in various changes of the oscillations. Studying the changes can provide valuable information for understanding kink oscillations. Our observation focuses on a flare region acquired by the Atmospheric Imaging Assembly on the Solar Dynamics Observatory spacecraft on 2016 March 23. There are a bunch of arched loops and an open loop near the region. However, their oscillations show very low amplitudes. So we used the jerk-aware motion method to magnify the weak oscillations. We found that before the flare onset at 02:59 UT, there were some large loops above the arched loops being raised rapidly. The properties of the weak oscillations show clear changes. On the one hand, the oscillations in the arched loops were decayless initially, but both their amplitude and period increased after 02:30 UT and before the flare onset. Once enhanced, the oscillations decayed with time. On the other hand, the oscillations in the open loop were nearly constant before and after 02:30 UT, but their period increased. This means that the changes in periods and amplitudes of oscillations are likely associated with the loops raised before the flare.
Large unsaturated magnetoresistance of 2D magnetic semiconductor Fe-SnS2 homojunction
Authors: Fang Jingzhi , Song Huading , Li Bo , Zhou Ziqi , Yang Juehan , Lin Benchuan , Liao Zhimin , Wei Zhongming 
Published: September 2022

Abstract
A magnetic semiconductor whose electronic charge and spin can be regulated together will be an important component of future spintronic devices. Here, we construct a two-dimensional (2D) Fe doped SnS2 (Fe-SnS2) homogeneous junction and investigate its electromagnetic transport feature. The Fe-SnS2 homojunction device showed large positive and unsaturated magnetoresistance (MR) of 1800% in the parallel magnetic field and 600% in the vertical magnetic field, indicating an obvious anisotropic MR feature. In contrast, The MR of Fe-SnS2 homojunction is much larger than the pure diamagnetic SnS2 and most 2D materials. The application of a gate voltage can regulate the MR effect of Fe-SnS2 homojunction devices. Moreover, the stability of Fe-SnS2 in air has great application potential. Our Fe-SnS2 homojunction has a significant potential in future magnetic memory applications.