bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial Structure of Vertical Motions and Associated Heat Flux Induced by Mesoscale Eddies in the Upper Kuroshio‐Oyashio Extension
Authors: Qu Yushan , Wang Shengpeng , Jing Zhao , Wang Hong , Wu Lixin 
Published: September 2022

AbstractVertical motions induced by mesoscale eddies in the upper ocean play a vital role in the heat transport over the global ocean. However, the spatial structure of vertical eddy velocity and associated heat flux remains unclear. This study addresses this issue in the Kuroshio‐Oyashio Extension based on an eddy‐rich Community Earth System Model simulation. Adopting a mesoscale eddy composite analysis, we show that the vertical eddy velocity is enhanced at edges of mesoscale eddies with a maximum magnitude of 0.8 m day−1 in the upper ocean for anticyclonic eddies (AEs) and 0.5 m day−1 for cyclonic eddies (CEs). The associated vertical heat flux is upward, reaching 52 and 32 W m−2 along AEs' and CEs' periphery, respectively. Diagnostic analysis suggests that the enhanced vertical eddy motions at eddy edges are primarily attributed to the ageostrophic secondary circulation (ASC) under the turbulent thermal wind balance that accounts for more than 70% of the vertical eddy velocity and 80% of vertical eddy heat flux in the upper ocean. This ASC is stronger in winter than summer due to the intense turbulent mixing induced by strong surface cooling and wind stirring in winter. Accordingly, the vertical eddy velocity and associated heat flux exhibit a distinct seasonal cycle.
The Persistence and Reemergence of Atmospheric Anomaly Signals in Soil Temperature
Authors: Song Yaoming , Huang Anning , Chen Haishan 
Published: September 2022

AbstractThe anomalies of soil temperature (ST) in shallow soil are potential signals for both weather forecast and climate prediction. Results show atmospheric anomaly signals can persist from zero to several months in the form of ST anomalies in shallow soil, and the persistence of ST anomalies caused by atmospheric anomalies in different months is significantly different. ST anomalies in shallow soil caused by air temperature can persist for longer time than those caused by precipitation. The decrease in instantaneous precipitation and air temperature leads to the weakening of atmosphere interference with ST anomaly persistence, which enhances the persistence of ST anomalies caused by initial air temperature anomalies. Moreover, the reemergence of ST anomalies in shallow soil from air temperature is a more common phenomenon than one from precipitation. ST anomaly reemergence may be caused by two processes. Freeze‐thaw process is one of the processes, and it has been confirmed in both observations and simulations. Another may be related to the changes of the vertical distributions of hydraulic and thermal conductivities due to the changes in air temperature and precipitation when the climate shifts from warm‐wet to cold‐dry. However, the reemergence of ST anomalies only occurs in the simulations where freeze‐thaw processes exist using the Community Land Model 4.5 (CLM4.5). The persistence and reemergence of observed ST anomalies are not fully captured in numerical simulations using CLM4.5, which requires further research to improve the simulation performance of numerical models.
Leaf water content contributes to global leaf trait relationships
Authors: Wang Zhiqiang , Huang Heng , Wang Han , Peñuelas Josep , Sardans Jordi , Niinemets Ülo , Niklas Karl J. , Li Yan , Xie Jiangbo , Wright Ian J. 
Published: September 2022

AbstractLeaf functional traits are important indicators of plant growth and ecosystem dynamics. Despite a wealth of knowledge about leaf trait relationships, a mechanistic understanding of how biotic and abiotic factors quantitatively influence leaf trait variation and scaling is still incomplete. We propose that leaf water content (LWC) inherently affects other leaf traits, although its role has been largely neglected. Here, we present a modification of a previously validated model based on metabolic theory and use an extensive global leaf trait dataset to test it. Analyses show that mass-based photosynthetic capacity and specific leaf area increase nonlinearly with LWC, as predicted by the model. When the effects of temperature and LWC are controlled, the numerical values for the leaf area-mass scaling exponents converge onto 1.0 across plant functional groups, ecosystem types, and latitudinal zones. The data also indicate that leaf water mass is a better predictor of whole-leaf photosynthesis and leaf area than whole-leaf nitrogen and phosphorus masses. Our findings highlight a comprehensive theory that can quantitatively predict some global patterns from the leaf economics spectrum.
Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models
Authors: Laufer Benjamin I. , Hasegawa Yu , Zhang Zhichao , Hogrefe Casey E. , Del Rosso Laura A. , Haapanen Lori , Hwang Hyeyeon , Bauman Melissa D. , Van de Water Judy , Taha Ameer Y. , Slupsky Carolyn M. , Golub Mari S. , Capitanio John P. , VandeVoort Catherine A. , Walker Cheryl K. , LaSalle Janine M. 
Published: September 2022

AbstractMaternal obesity during pregnancy is associated with neurodevelopmental disorder (NDD) risk. We utilized integrative multi-omics to examine maternal obesity effects on offspring neurodevelopment in rhesus macaques by comparison to lean controls and two interventions. Differentially methylated regions (DMRs) from longitudinal maternal blood-derived cell-free fetal DNA (cffDNA) significantly overlapped with DMRs from infant brain. The DMRs were enriched for neurodevelopmental functions, methylation-sensitive developmental transcription factor motifs, and human NDD DMRs identified from brain and placenta. Brain and cffDNA methylation levels from a large region overlappingmir-663correlated with maternal obesity, metabolic and immune markers, and infant behavior. ADUX4hippocampal co-methylation network correlated with maternal obesity, infant behavior, infant hippocampal lipidomic and metabolomic profiles, and maternal blood measurements ofDUX4cffDNA methylation, cytokines, and metabolites. We conclude that in this model, maternal obesity was associated with changes in the infant brain and behavior, and these differences were detectable in pregnancy through integrative analyses of cffDNA methylation with immune and metabolic factors.
Differential dysregulation of granule subsets in WASH-deficient neutrophil leukocytes resulting in inflammation
Authors: Johnson Jennifer L. , Meneses-Salas Elsa , Ramadass Mahalakshmi , Monfregola Jlenia , Rahman Farhana , Carvalho Gontijo Raquel , Kiosses William B. , Pestonjamasp Kersi , Allen Dale , Zhang Jinzhong , Osborne Douglas G. , Zhu Yanfang Peipei , Wineinger Nathan , Askari Kasra , Chen Danni , Yu Juan , Henderson Scott C. , Hedrick Catherine C. , Ursini Matilde Valeria , Grinstein Sergio , Billadeau Daniel D. , Catz Sergio D. 
Published: September 2022

AbstractDysregulated secretion in neutrophil leukocytes associates with human inflammatory disease. The exocytosis response to triggering stimuli is sequential; gelatinase granules modulate the initiation of the innate immune response, followed by the release of pro-inflammatory azurophilic granules, requiring stronger stimulation. Exocytosis requires actin depolymerization which is actively counteracted under non-stimulatory conditions. Here we show that the actin nucleator, WASH, is necessary to maintain azurophilic granules in their refractory state by granule actin entrapment and interference with the Rab27a-JFC1 exocytic machinery. On the contrary, gelatinase granules of WASH-deficient neutrophil leukocytes are characterized by decreased Rac1, shortened granule-associated actin comets and impaired exocytosis. Rac1 activation restores exocytosis of these granules. In vivo, WASH deficiency induces exacerbated azurophilic granule exocytosis, inflammation, and decreased survival. WASH deficiency thus differentially impacts neutrophil granule subtypes, impairing exocytosis of granules that mediate the initiation of the neutrophil innate response while exacerbating pro-inflammatory granule secretion.
The use of non-steroidal anti-inflammatory drugs (NSAIDs) in COVID-19
Authors: Kushner Pamela , McCarberg Bill H. , Grange Laurent , Kolosov Anton , Haveric Anela Lihic , Zucal Vincent , Petruschke Richard , Bissonnette Stephane 
Published: September 2022

AbstractEarly in the COVID-19 pandemic, anecdotal reports emerged suggesting non-steroidal anti-inflammatory drugs (NSAIDs) may increase susceptibility to infection and adversely impact clinical outcomes. This narrative literature review (March 2020–July 2021) attempted to clarify the relationship between NSAID use and COVID-19 outcomes related to disease susceptibility or severity. Twenty-four relevant publications (covering 25 studies) reporting original research data were identified; all were observational cohort studies, and eight were described as retrospective. Overall, these studies are consistent in showing that NSAIDs neither increase the likelihood of SARS-CoV-2 infection nor worsen outcomes in patients with COVID-19. This is reflected in current recommendations from major public health authorities across the world, which support NSAID use for analgesic or antipyretic treatment during COVID-19. Thus, there is no basis on which to restrict or prohibit use of these drugs by consumers or patients to manage their health conditions and symptoms during the pandemic.
Solar and wind power data from the Chinese State Grid Renewable Energy Generation Forecasting Competition
Authors: Chen Yongbao , Xu Junjie 
Published: September 2022

AbstractAccurate solar and wind generation forecasting along with high renewable energy penetration in power grids throughout the world are crucial to the days-ahead power scheduling of energy systems. It is difficult to precisely forecast on-site power generation due to the intermittency and fluctuation characteristics of solar and wind energy. Solar and wind generation data from on-site sources are beneficial for the development of data-driven forecasting models. In this paper, an open dataset consisting of data collected from on-site renewable energy stations, including six wind farms and eight solar stations in China, is provided. Over two years (2019–2020), power generation and weather-related data were collected at 15-minute intervals. The dataset was used in the Renewable Energy Generation Forecasting Competition hosted by the Chinese State Grid in 2021. The process of data collection, data processing, and potential applications are described. The use of this dataset is promising for the development of data-driven forecasting models for renewable energy generation and the optimization of electricity demand response (DR) programs for the power grid.
A population-based cohort study of the epidemiology of light-chain amyloidosis in Taiwan
Authors: Hou Hsin-An , Tang Chao-Hsiun , Goh Choo Hua , Shen Shih-Pei , Huang Kuan-Chih , Qiu Hong , Siggins Sarah , Rothwell Lee Anne , Liu Yanfang 
Published: September 2022

AbstractThe incidence rate of AL (light-chain) amyloidosis is not known in Asia. We conducted a retrospective cohort study using the Taiwan National Healthcare Insurance Research database and Death Registry to estimate incidence and all-cause case fatality rates, and characteristics of patients with AL amyloidosis in Taiwan. All patients with confirmed, newly diagnosed AL amyloidosis from 01-Jan-2016 until 31-Dec-2019 were enrolled and followed up until dis-enrolment, death or study end (31-Dec-2019). There were 841 patients with newly diagnosed AL amyloidosis with median age of 61.4 years and 58.7% were men. At diagnosis, cardiac, renal and liver-related diseases were present in 28.54%, 23.19% and 2.14% of patients, respectively. AL amyloidosis age-adjusted annual incidence was 5.73 per million population in 2016 and 5.26 per million population in 2019. All-cause case fatality ranged from 1.7 to 2.9% over the study period and was highest (~10%) in patients ≥ 80 years. Survival was significantly lower in patients with co-morbid cardiac, renal, or liver-related diseases which could indicate organ involvement. The incidence of AL amyloidosis in Taiwan appears to be similar to Western countries. The poor prognosis in patients with co-morbid diseases highlights the need for earlier diagnosis.
Interacting humans use forces in specific frequencies to exchange information by touch
Authors: Colomer C. , Dhamala M. , Ganesh G. , Lagarde J. 
Published: September 2022

AbstractObject-mediated joint action is believed to be enabled by implicit information exchange between interacting individuals using subtle haptic signals within their interaction forces. The characteristics of these haptic signals have, however, remained unclear. Here we analyzed the interaction forces during an empirical dyadic interaction task using Granger–Geweke causality analysis, which allowed us to quantify the causal influence of each individual’s forces on their partner’s. We observed that the inter-partner influence was not the same at every frequency. Specifically, in the frequency band of [2.15–7] Hz, we observed inter-partner differences of causal influence that were invariant of the movement frequencies in the task and present only when information exchange was indispensable for task performance. Moreover, the inter-partner difference in this frequency band was observed to be correlated with the task performance by the dyad. Our results suggest that forces in the [2.15–7] Hz band constitute task related information exchange between individuals during physical interactions.
First report of the blood-feeding pattern in Aedes koreicus, a new invasive species in Europe
Authors: Montarsi Fabrizio , Rosso Fausta , Arnoldi Daniele , Ravagnan Silvia , Marini Giovanni , Delucchi Luca , Rosà Roberto , Rizzoli Annapaola 
Published: September 2022

AbstractAedes koreicus is an invasive mosquito species which has been introduced into several European countries. Compared to other invasive Aedes mosquitoes, little is known of its biology and ecology. To determine Ae. koreicus’ vectorial capacity, it is essential to establish its feeding patterns and level of anthropophagy. We report on the blood-feeding patterns of Ae. koreicus, examining the blood meal origin of engorged females and evaluating the influence of different biotic and abiotic factors on feeding behavior. Mosquitoes were collected in 23 sites in northern Italy by manual aspiration and BG-sentinel traps; host availability was estimated by survey. The source of blood meals was identified using a nested PCR and by targeting and sequencing the cytochrome c oxidase subunit I gene. In total, 352 Ae. koreicus engorged females were collected between 2013 and 2020 and host blood meals were determined from 299 blood-fed mosquitoes (84.9%). Eleven host species were identified, with the highest prevalences being observed among roe deer (Capreolus capreolus) (N = 189, 63.2%) and humans (N = 46, 15.4%). Blood meals were mostly taken from roe deer in forested sites and from humans in urban areas, suggesting that this species can feed on different hosts according to local abundance. Two blood meals were identified from avian hosts and one from lizard. Ae. koreicus’ mammalophilic feeding pattern suggests that it may be a potential vector of pathogens establishing transmission cycles among mammals, whereas its role as a bridge vector between mammals and birds could be negligible.
Two types of charge order with distinct interplay with superconductivity in the kagome material CsV3Sb5
Authors: Gupta Ritu , Das Debarchan , Mielke Charles , Ritz Ethan T. , Hotz Fabian , Yin Qiangwei , Tu Zhijun , Gong Chunsheng , Lei Hechang , Birol Turan , Fernandes Rafael M. , Guguchia Zurab , Luetkens Hubertus , Khasanov Rustem 
Published: September 2022

AbstractThe kagome metals of the family AV3Sb5, featuring a unique structural motif, harbor an array of intriguing phenomena such as chiral charge order and superconductivity. CsV3Sb5 is of particular interest because it displays a double superconducting dome in the region of the temperature-pressure phase diagram where charge order is still present. However, the microscopic origin of such an unusual behavior remains an unsolved issue. Here, to address it, we combine high-pressure, low-temperature muon spin relaxation/rotation with first-principles calculations. We observe a pressure-induced threefold enhancement of the superfluid density, which also displays a double-peak feature, similar to the superconducting critical temperature. This leads to three distinct regions in the phase diagram, each of which features distinct slopes of the linear relation between superfluid density and the critical temperature. These results are attributed to a possible evolution of the charge order pattern from the superimposed tri-hexagonal Star-of-David phase at low pressures (within the first dome) to the staggered tri-hexagonal phase at intermediate pressures (between the first and second domes). Our findings suggest a change in the nature of the charge-ordered state across the phase diagram of CsV3Sb5, with varying degrees of competition with superconductivity.
Predefined‐time distributed event‐triggered algorithms for resource allocation
Authors: Shi Xiasheng , Xu Lei , Yang Tao 
Published: September 2022

AbstractThe resource allocation problem in a distributed multi‐agent system is considered in this study. First, the authors develop a predefined‐time distributed algorithm and analyse its convergence analysis using the Lyapunov stability theory, in which the local constraint is ensured by a differential projection operator. Thus, a predefined time is obtained by a time‐varying time‐based generator. Second, to reduce the communication consumption between agents, the authors develop a static as well as a dynamic‐based event‐triggered control scheme, where the information broadcast only occurs at some discrete time instants. Moreover, the three proposed algorithms converge precisely to the global optimal solution. Besides, the Zeno behaviour is excluded in the above static and dynamic event‐triggered mechanisms. Finally, the authors test the proposed algorithms' efficiency based on the provided numerical examples.
Fixed‐latency architecture for multi‐stage algebraic interleavers in interleave division multiple access systems
Authors: Kong Byeong Yong 
Published: September 2022

AbstractIn this letter, a fixed‐latency interleaver architecture is proposed for interleave division multiple access (IDMA) systems. The existing multi‐stage algebraic interleaver suffers from the high latency originated from a series of multipliers and adders residing in each stage. In contrast, the proposed interleaver employs a simple conversion logic built by precomputing all the requisites in advance. Since the logic is completely irrelevant to the number of stages, the interleaving pattern of the proposed structure can be randomized as much as it is needed without exacerbating the latency at all.
Entropy weight and grey relational analysis based virtual capacitance collaborative control for multiple energy storage units
Authors: Wang Hui , Zhao Shuqiang , Meng Jianhui , Tian Yanjun , Sun Yuhan , Wang Kairang 
Published: September 2022

AbstractFlexible virtual capacitance control (FVCC) for converter can improve the stability and dynamics of DC bus voltage, but among multiple converters, essential inertia distribution is capable of optimizing the performance. To improve the rationality of inertia distribution, a virtual capacitance collaborative control (VCCC) strategy for multiple energy storage units (ESUs) is proposed. Firstly, the system required total inertia is adjusted according to each individual battery's rated capacity and state‐of‐charge (SOC). Then comes the establishment of an evaluation mechanism, which takes the accounts of battery SOC margin, converter power margin and battery power regulation speed. The entropy weight and grey relational analysis are used to calculate each ESU's distribution coefficient and then adjust their virtual capacitance in real‐time. The results show that the adjustment and distribution of the total inertia are beneficial to controlling the SOC of the batteries within the safe range. The ESU with the smallest converter power margin or the slowest battery power regulation speed supports least virtual inertia, which can reduce the problems such as overload protection action or auxiliary power limitation, so as to improve the cooperative control effects. Finally, the effectiveness of the proposed control strategy is verified by hardware‐in‐the‐loop (HIL) simulation experiments.
Fast time optical variability in Be/X-ray binaries
Authors: Reig P. , Fabregat J. 
Published: September 2022

Context. Classical Be stars, regardless of spectral subtype, display multi-periodic light modulations in the frequency range 0.1–12 c d−1 when observed with a high cadence and a long duration. This behavior is attributed to non-radial pulsations and/or the rotation of the Be star. A similar study on the optical counterparts to Be/X-ray binaries is yet to be carried out.
Aims. The main goal of this work is to investigate the fast photometric variability of the optical counterparts to Be/X-ray binaries and compare the general patterns of such variability with the Galactic population of classical Be stars.
Methods. The main core of our analysis is based on space-based observations performed by TESS. We analyzed 21 sources with TESS. High-cadence photometry with two ground-based telescopes was also performed for 15 sources. The TESS light curves were created from the full-frame images using the Lightkurve package. The ground-based light curves were obtained through differential photometry between the target and a number of non-variable stars in the same field of view. Standard Fourier analysis and least-squares fitting methods were employed in the frequency analysis.
Results. All sources exhibit intra-night light variations with intensity variations of 0.01–0.06 mag in the ground-based observations and up to 5% in flux in TESS observations. This variability manifests itself as multi-periodic signals in the frequency range 0.2–12 c d−1. We find that the patterns of variability of the Be stars in Be/X-ray binaries agree with that of classical early-type Be stars in terms of the general shape of the periodograms. Based on the general shape and number of peaks in the periodograms, Be/X-ray binaries can be classified into different types. The most common case is the presence of groups of closely spaced frequencies (67%), followed by sources that exhibit isolated signals (18%). The remaining source type displays frequency spectra characterized by a mixed pattern of stochastic variability and high-frequency peaks.
Conclusions. This study reveals that short-term optical photometric variability is a very common, if not ubiquitous, feature intrinsic to the Be optical companions in Be/X-ray binaries. This variability is mainly attributed to pulsations that originate in the stellar interior.