bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical Study of Whistler‐Mode Waves and Expected Pitch Angle Diffusion Rates During Dispersionless Electron Injections
Authors: Ghaffari R. , Cully C. M. , Gabrielse C. 
Published: August 2021

AbstractEnergetic electron injections can generate or amplify electromagnetic waves such as whistler‐mode waves. These waves can resonantly interact with available particles to affect their equatorial pitch angle. This process can be considered as a diffusion that scatters particles into the loss cone. This study investigates whistler‐mode wave generation in conjunction with electron injections using in situ wave measurements by the Time History of Events and Macroscale Interactions during Substorms mission during 2011–2020. We characterize the whistler‐mode wave behavior associated with 733 selected dispersionless electron injections and dipolarizing flux bundles (DFBs). We observe intense wave activity and strong diffusion associated with only the top 5% and 10% of the selected injection events, respectively. We also study the wave activity when there is a sharp rise in the northward component of the magnetic field around the injection time (DFBs). In this case, the generated wave powers increase, and the power change is at least two times greater than non‐DFB injections.
New Insights Into Error Decomposition for Precipitation Products
Authors: Zhang Yuhang , Ye Aizhong , Nguyen Phu , Analui Bita , Sorooshian Soroosh , Hsu Kuolin 
Published: August 2021

AbstractIt is very important to quantify errors of precipitation estimation products. However, the existing methods do not describe all error components and are therefore not comprehensive enough. In this study, we propose a four‐component error decomposition method (4CED) that decomposes the total errors of precipitation products into four independent parts: hit positive bias, hit negative bias, false bias, and missed bias. And we use it to evaluate the performance of the three latest satellite precipitation products in the eastern monsoon region of China. Our study reveals 4CED has apparent improvements compared with the previous method. Results also provide new insights for tracking error sources and quantifying the error magnitudes of precipitation products. Moreover, the proposed 4CED can be extended to different spatial and temporal scales. Our new method will not only contribute to product upgrades, but also provide guidance for potential applications.
A Bird’s‐Eye View on Ambient Infrasonic Soundscapes
Authors: den Ouden Olivier F. C. , Smets Pieter S. M. , Assink Jelle D. , Evers Läslo G. 
Published: August 2021

AbstractA method is introduced to reconstruct microbarom soundscapes in absolute values. The soundscapes are compared to remote infrasound recordings from infrasound array I23FR (Kerguelen Island) and in situ recordings by the INFRA‐EAR, a biologger deployed near the Crozet Islands. The reconstruction method accounts for all‐acoustic contributions, divided into evanescent microbaroms (detectable directly above the source) and propagating microbaroms (detectable over long ranges). It is computed by integrating acoustic intensities over the ocean surface, convolved with the transfer function quantifying the propagation losses and propagation time. The reconstructed soundscapes are found within 2.7 dB for of the measurements in the microbarom band of 0.1–0.3 Hz. Infrasonic soundscapes are essential for understanding the ambient infrasonic noise field and are a basic need for applications, such as atmospheric remote sensing, natural hazard monitoring, and verification of the Comprehensive Nuclear‐Test‐Ban Treaty.
Muon Tomography of Charged Structures in the Atmospheric Electric Field
Authors: Chilingarian A. , Hovsepyan G. , Zazyan M. 
Published: August 2021

AbstractWe compare simulations of muon traversal in the atmosphere and observation of the muon flux made on the Earth's surface to reveal the relation of the muon flux changes to the charge structure of the lower part of the thundercloud. The results show that the changes in the muon flux during large thunderstorm ground enhancements (TGEs) reveal the charge configurations of the cloud, namely a large negative electric field in the lower part of the cloud and an inverted dipole. Cosmic ray muons do not originate particle avalanches in the thunderclouds, like electrons. However, in the thundercloud, the positive and negative muons are decelerated or accelerated according to the sign of the intracloud electric field. Due to the charge asymmetry of the muon flux (excess of positive muons over negative), the total number of muons and muon charge ratio also changes.
Mind the Gap: New Precise 14C Data Indicate the Nature of Extreme Solar Particle Events
Authors: Usoskin Ilya G. , Kovaltsov Gennady A. 
Published: August 2021

AbstractExtreme solar particle events of 775 CE, 994 CE, and 660 BCE are nearly two orders of magnitude stronger than those observed instrumentally. Because of the large observational gap between directly measured and historical events, it was unclear whether they can be produced by the Sun “normally” or from an unknown phenomenon. Recent works by Miyake et al. (2021, doi: https://doi.org/10.1029/2021GL093419) and Brehm et al. (2021, https://doi.org/10.1038/s41561-020-00674-0) start filling the gap with weaker yet extreme events approaching the detectability threshold. More such events are expected to be found in the future but the present result, if confirmed, would imply that the extreme solar events likely represent the high‐energy/low‐probability tail of the continuous distribution of solar eruptive events rather than a new unknown type of events. However, more statistic is needed for a solid conclusion. This would lead to better understanding of the processes producing such events that is important for their risk assessments for the modern technology.
Migration of the Northern Boundary of the East Asian Summer Monsoon Over the Last 21,000 years
Authors: Wu Beilei , Lang Xianmei , Jiang Dabang 
Published: August 2021

AbstractInvestigating the past evolution of the northern boundary of the East Asian summer monsoon (EASM) is important in understanding the East Asian climate of the past, present, and future. In this study, using a set of transient simulations from TraCE‐21ka, we investigate the migration of the EASM northern boundary over eastern China via three metrics and its responses to individual external forcings during the last 21,000 years. The northern boundary was located farther southeastward from 21 ka to 18 ka and more northwestward since 15 ka compared with the present boundary. For two key time slices, the boundary exhibited a southeastward migration ranging from 120 to 140 km in the last glacial maximum (LGM) and a 110–140 km northwestward shift in the mid‐Holocene relative to the present boundary. Temporally, the evolution of the boundary was characterized first by a poleward migration and then an equatorward shift from the LGM to the present, which was mainly driven by orbital insolation. This long‐term trend was punctuated by several millennial fluctuations in response to meltwater fluxes. The boundary migration during the LGM and the mid‐Holocene generally lies within the range of the multimodel results from the Paleoclimate Modeling Intercomparison Project Phase 4 (PMIP4). In terms of dynamic mechanisms, an orbitally induced increase of summer insolation led to an enhanced land‐sea thermal contrast between the East Asian continent and adjacent ocean and, in turn, intensified low‐level southerly winds, which facilitated the northwestward migration of the EASM northern boundary and more precipitation over eastern China. The boundary responses to the changing meltwater fluxes were similar but weak. Additionally, the EASM northern limit was closely linked to the forest‐steppe boundary. The reconstructed forest‐steppe boundary estimated from pollen records and the simulated EASM northern edge display spatially consistent positions, orientations, and change trends.
Ultraviolet Radiation Drives Emission of Climate‐Relevant Gases From Marine Phytoplankton
Authors: McLeod A. R. , Brand T. , Campbell C. N. , Davidson K. , Hatton A. D. 
Published: August 2021

AbstractMarine phytoplankton contribute about one half of global primary production and play a key role in global biogeochemical cycles. High cell densities in extensive phytoplankton blooms are expected to be modified by global changes in ocean circulation and stratification, acidification and carbonation, solar radiation, temperature, and eutrophication. Although photochemical gas production from chromophoric dissolved organic matter (CDOM) has been widely studied, ultraviolet (UV) effects on emissions from phytoplankton cells themselves have not been fully explored. We therefore investigated UV‐driven emissions of carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), ethene (C2H4), ethane (C2H6), and nitrous oxide (N2O) from cell suspensions of 16 phytoplankton species and their filtrates under controlled experimental conditions. These gases make direct or indirect contributions to radiative forcing of the atmosphere or contribute to atmospheric chemistry including stratospheric ozone (O3) depletion. We observed production of CH4, CO, CO2, C2H4, and N2O from cell suspensions and CO, CO2, and N2O after 0.45 μm‐filtration to remove phytoplankton cells. CH4 production was only observed with cells present, whereas N2O was still produced after filtration. Production of CO from filtrates was 30%–90% of that from cell suspensions in all but two species with a CO2:CO mole ratio from filtrates always below one. Our results clearly demonstrate a need to quantify the production potentials of these climate‐relevant gases in situ under natural sunlight using key phytoplankton species, especially those forming blooms which are predicted to change in prevalence and distribution with future global change scenarios.
Comparison of a full arch digital photographic assessment of caries prevalence in 5-year-old children to an established visual assessment method: a cross-sectional study
Authors: Thomas Nicole , Kay Elizabeth , Witton Robert , Quinn Cath 
Published: August 2021

Abstract
Introduction
Digital epidemiology in dental disease screening has a number of advantages which warrant further exploration.

Aim
This study aimed to test the examination accuracy of digital images to evaluate child oral health by comparing the new method to a gold standard method. It also investigated the levels of diagnostic accuracy between different examiners, including dental care professionals and a lay examiner, when quantifying dental disease using images.

Methods
A calibrated dental examiner inspected forty 5-year-olds. In addition, three sets of digital images were taken per child. These images were assessed by six examiners. Sensitivity and specificity of caries diagnosis and inter-examiner reliability were calculated to compare the caries scores derived from examination of the images to those of the gold standard examinations.

Results
The mean values for sensitivity and specificity scores were 48.0% and 99.1%, respectively. The mean value for kappa showed moderate agreement between 0.43 and 0.73 (0.57). Mean values for agreement using intra-class coefficients were excellent (0.78) and good (0.73) for dt and dmft, respectively. No statistical difference in the validity of the caries scores was shown between the different image assessors.

Conclusions
These data demonstrate the feasibility of using digital images to screen child oral health and for nondental professionals to be recruited to carry out digital epidemiology for the oral health surveillance of children.
hsa_circ_0003222 accelerates stemness and progression of non-small cell lung cancer by sponging miR-527
Authors: Li Changhui , Zhang Jiaqi , Yang Xiaohua , Hu Cheng , Chu Tianqing , Zhong Runbo , Shen Yinchen , Hu Fang , Pan Feng , Xu Jianlin , Lu Jun , Zheng Xiaoxuan , Zhang Hai , Nie Wei , Han Baohui , Zhang Xueyan 
Published: August 2021

AbstractThe relationship between circular RNA (circRNA) and cancer stem cells (CSCs) is uncertain. We have investigated the combined influence of CSCs, circRNA (hsa_circ_0003222), and immune checkpoint inhibitors in NSCLC progression and therapy resistance. We constructed lung CSCs (LCSCs; PC9 and A549). The effects of hsa_circ_0003222 in vitro were determined by cell counting, colony and sphere formation, and Transwell assays. A tumor xenograft model of metastasis and orthotopic model were built for in vivo analysis. We found that hsa_circ_0003222 was highly expressed in NSCLC tissues and LCSCs. Higher levels of hsa_circ_0003222 were associated with the stage, metastasis, and survival rate of patients with NSCLC. Reduced levels of hsa_circ_0003222 decreased tumor cell proliferation, migration, invasion, stemness-like properties, and chemoresistance. The silencing of hsa_circ_0003222 was found to downregulate PHF21B expression and its downstream, β-catenin by relieving the sponging effect of miR-527. Moreover, silencing hsa_circ_0003222 alleviated NSCLC resistance to anti-programmed cell death-ligand 1 (PD-L1)-based therapy in vivo. Our data demonstrate the significant role of hsa_circ_0003222 in NSCLC cell stemness-like properties. The manipulation of circRNAs in combination with anti-PD-L1 therapy may alleviate NSCLC stemness and progression.
Cognitive insights from tertiary sulci in prefrontal cortex
Authors: Voorhies Willa I. , Miller Jacob A. , Yao Jewelia K. , Bunge Silvia A. , Weiner Kevin S. 
Published: August 2021

AbstractThe lateral prefrontal cortex (LPFC) is disproportionately expanded in humans compared to non-human primates, although the relationship between LPFC brain structures and uniquely human cognitive skills is largely unknown. Here, we test the relationship between variability in LPFC tertiary sulcal morphology and reasoning scores in a cohort of children and adolescents. Using a data-driven approach in independent discovery and replication samples, we show that the depth of specific LPFC tertiary sulci is associated with individual differences in reasoning scores beyond age. To expedite discoveries in future neuroanatomical-behavioral studies, we share tertiary sulcal definitions with the field. These findings support a classic but largely untested theory linking the protracted development of tertiary sulci to late-developing cognitive processes.
Deep neural network-estimated electrocardiographic age as a mortality predictor
Authors: Lima Emilly M. , Ribeiro Antônio H. , Paixão Gabriela M. M. , Ribeiro Manoel Horta , Pinto-Filho Marcelo M. , Gomes Paulo R. , Oliveira Derick M. , Sabino Ester C. , Duncan Bruce B. , Giatti Luana , Barreto Sandhi M. , Meira Jr Wagner , Schön Thomas B. , Ribeiro Antonio Luiz P. 
Published: August 2021

AbstractThe electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can be a measure of cardiovascular health. A deep neural network is trained to predict a patient’s age from the 12-lead ECG in the CODE study cohort (n = 1,558,415 patients). On a 15% hold-out split, patients with ECG-age more than 8 years greater than the chronological age have a higher mortality rate (hazard ratio (HR) 1.79, p < 0.001), whereas those with ECG-age more than 8 years smaller, have a lower mortality rate (HR 0.78, p < 0.001). Similar results are obtained in the external cohorts ELSA-Brasil (n = 14,236) and SaMi-Trop (n = 1,631). Moreover, even for apparent normal ECGs, the predicted ECG-age gap from the chronological age remains a statistically significant risk predictor. These results show that the AI-enabled analysis of the ECG can add prognostic information.
Excitatory synapses and gap junctions cooperate to improve Pv neuronal burst firing and cortical social cognition in Shank2-mutant mice
Authors: Lee Eunee , Lee Seungjoon , Shin Jae Jin , Choi Woochul , Chung Changuk , Lee Suho , Kim Jihye , Ha Seungmin , Kim Ryunhee , Yoo Taesun , Yoo Ye-Eun , Kim Jisoo , Noh Young Woo , Rhim Issac , Lee Soo Yeon , Kim Woohyun , Lee Taekyung , Shin Hyogeun , Cho Il-Joo , Deisseroth Karl , Kim Sang Jeong , Park Joo Min , Jung Min Whan , Paik Se-Bum , Kim Eunjoon 
Published: August 2021

AbstractNMDA receptor (NMDAR) and GABA neuronal dysfunctions are observed in animal models of autism spectrum disorders, but how these dysfunctions impair social cognition and behavior remains unclear. We report here that NMDARs in cortical parvalbumin (Pv)-positive interneurons cooperate with gap junctions to promote high-frequency (>80 Hz) Pv neuronal burst firing and social cognition. Shank2–/– mice, displaying improved sociability upon NMDAR activation, show impaired cortical social representation and inhibitory neuronal burst firing. Cortical Shank2–/– Pv neurons show decreased NMDAR activity, which suppresses the cooperation between NMDARs and gap junctions (GJs) for normal burst firing. Shank2–/– Pv neurons show compensatory increases in GJ activity that are not sufficient for social rescue. However, optogenetic boosting of Pv neuronal bursts, requiring GJs, rescues cortical social cognition in Shank2–/– mice, similar to the NMDAR-dependent social rescue. Therefore, NMDARs and gap junctions cooperate to promote cortical Pv neuronal bursts and social cognition.
A hybrid molecular peapod of sp2- and sp3-nanocarbons enabling ultrafast terahertz rotations
Authors: Matsuno Taisuke , Terasaki Seiya , Kogashi Kanako , Katsuno Ryosuke , Isobe Hiroyuki 
Published: August 2021

AbstractThe internal hollow space of carbon nanotubes provides a unique nanometre-sized space to capture various molecular entities. The inner space circumfused by sp2-carbon networks can also encapsulate diamondoid molecules to afford sp2/sp3-hybrid nanocarbon peapods that have recently emerged as unique nanostructures. In this study, the sp2/sp3-hybrid peapods have been mimicked by adopting a cylindrical molecule and the smallest diamondoid, i.e., adamantane, to demonstrate the existence of ultrafast rotational motion. The solid-state rotational frequency is measured by NMR spectroscopy to record 1.06 THz that is, to the best of our knowledge, the largest value recorded for solid-state rotations of molecules. Theoretical calculations reveal that multivalent CH-π hydrogen bonds anchored the diamondoid guest on the π-wall of the cylindrical host. The weak hydrogen bonds are prone not only to cleave but also to regenerate at the interfaces, which give freedom to the guest for ultrafast isotropic rotations in the inertial regime.
Energy-participation quantization of Josephson circuits
Authors: Minev Zlatko K. , Leghtas Zaki , Mundhada Shantanu O. , Christakis Lysander , Pop Ioan M. , Devoret Michel H. 
Published: August 2021

AbstractSuperconducting microwave circuits incorporating nonlinear devices, such as Josephson junctions, are a leading platform for emerging quantum technologies. Increasing circuit complexity further requires efficient methods for the calculation and optimization of the spectrum, nonlinear interactions, and dissipation in multi-mode distributed quantum circuits. Here we present a method based on the energy-participation ratio (EPR) of a dissipative or nonlinear element in an electromagnetic mode. The EPR, a number between zero and one, quantifies how much of the mode energy is stored in each element. The EPRs obey universal constraints and are calculated from one electromagnetic-eigenmode simulation. They lead directly to the system quantum Hamiltonian and dissipative parameters. The method provides an intuitive and simple-to-use tool to quantize multi-junction circuits. We experimentally tested this method on a variety of Josephson circuits and demonstrated agreement within several percents for nonlinear couplings and modal Hamiltonian parameters, spanning five orders of magnitude in energy, across a dozen samples.
Expression of TXNIP is associated with angiogenesis and postoperative relapse of conventional renal cell carcinoma
Authors: Meszaros Mate , Yusenko Maria , Domonkos Lilla , Peterfi Lehel , Kovacs Gyula , Banyai Daniel 
Published: August 2021

AbstractOne of the common mediator of tumour progression is the oxidative stress induced by inflammatory tumour microenvironment (TME). Activated fibroblasts, local and immune cells produce reactive oxygen species (ROS) supporting tumour cell proliferation and pave the way for metastatic tumour growth. TXNIP regulates ROS generation by inhibiting the antioxidative function of thioredoxin (TXN). The shift of TXNIP/TXN balance towards overexpression of TXNIP is associated with proliferation of endothelial cells during tumor angiogenesis. The oxidative stress activates the hypoxia inducible factor-1 (HIF-1), which plays an important role in the biology of conventional RCC (cRCC). Under oxydative stress TXNIP interacts with NLRP3 inflammasome leading to maturation and secretion of inflammatory cytokine IL1β. To establish the role of TXNIP and downstream genes HIF1α and IL1β in the biology of cRCC, we have applied immunohistochemistry to multi-tissue arrays containing tumours of 691 patients without detectable metastases at the time of operation. We found that cRCC displaying a fine organised capillary network with nuclear translocation of TXNIP and expressing IL1β have a good prognosis. In contrary, we showed a significant correlation between cytoplasmic TXNIP expression, inefficient vascularisation by unorganized and tortuous vessels causing tumour cell necrosis and postoperative tumour relapse of cRCC.