bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvements in the GISTEMP Uncertainty Model
Authors: Lenssen Nathan J. L. , Schmidt Gavin A. , Hansen James E. , Menne Matthew J. , Persin Avraham , Ruedy Reto , Zyss Daniel 
Published: May 2019

AbstractWe outline a new and improved uncertainty analysis for the Goddard Institute for Space Studies Surface Temperature product version 4 (GISTEMP v4). Historical spatial variations in surface temperature anomalies are derived from historical weather station data and ocean data from ships, buoys, and other sensors. Uncertainties arise from measurement uncertainty, changes in spatial coverage of the station record, and systematic biases due to technology shifts and land cover changes. Previously published uncertainty estimates for GISTEMP included only the effect of incomplete station coverage. Here, we update this term using currently available spatial distributions of source data, state‐of‐the‐art reanalyses, and incorporate independently derived estimates for ocean data processing, station homogenization, and other structural biases. The resulting 95% uncertainties are near 0.05 °C in the global annual mean for the last 50 years and increase going back further in time reaching 0.15 °C in 1880. In addition, we quantify the benefits and inherent uncertainty due to the GISTEMP interpolation and averaging method. We use the total uncertainties to estimate the probability for each record year in the GISTEMP to actually be the true record year (to that date) and conclude with 87% likelihood that 2016 was indeed the hottest year of the instrumental period (so far).
Tidal and Thermal Stresses Drive Seismicity Along a Major Ross Ice Shelf Rift
Authors: Olinger S. D. , Lipovsky B. P. , Wiens D. A. , Aster R. C. , Bromirski P. D. , Chen Z. , Gerstoft P. , Nyblade A. A. , Stephen R. A. 
Published: May 2019

AbstractUnderstanding deformation in ice shelves is necessary to evaluate the response of ice shelves to thinning. We study microseismicity associated with ice shelf deformation using nine broadband seismographs deployed near a rift on the Ross Ice Shelf. From December 2014 to November 2016, we detect 5,948 icequakes generated by rift deformation. Locations were determined for 2,515 events using a least squares grid‐search and double‐difference algorithms. Ocean swell, infragravity waves, and a significant tsunami arrival do not affect seismicity. Instead, seismicity correlates with tidal phase on diurnal time scales and inversely correlates with air temperature on multiday and seasonal time scales. Spatial variability in tidal elevation tilts the ice shelf, and seismicity is concentrated while the shelf slopes downward toward the ice front. During especially cold periods, thermal stress and embrittlement enhance fracture along the rift. We propose that thermal stress and tidally driven gravitational stress produce rift seismicity with peak activity in the winter.
Observation of emergent momentum–time skyrmions in parity–time-symmetric non-unitary quench dynamics
Authors: Wang Kunkun , Qiu Xingze , Xiao Lei , Zhan Xiang , Bian Zhihao , Sanders Barry C. , Yi Wei , Xue Peng 
Published: May 2019

AbstractTopology in quench dynamics gives rise to intriguing dynamic topological phenomena, which are intimately connected to the topology of static Hamiltonians yet challenging to probe experimentally. Here we theoretically characterize and experimentally detect momentum-time skyrmions in parity-time $$({\cal{P}}{\cal{T}})$$

(

P
T

)

-symmetric non-unitary quench dynamics in single-photon discrete-time quantum walks. The emergent skyrmion structures are protected by dynamic Chern numbers defined for the emergent two-dimensional momentum-time submanifolds, and are revealed through our experimental scheme enabling the construction of time-dependent non-Hermitian density matrices via direct measurements in position space. Our work experimentally reveals the interplay of $${\cal{P}}{\cal{T}}$$
P
T
symmetry and quench dynamics in inducing emergent topological structures, and highlights the application of discrete-time quantum walks for the study of dynamic topological phenomena.
Projected losses of global mammal and bird ecological strategies
Authors: Cooke Robert S. C. , Eigenbrod Felix , Bates Amanda E. 
Published: May 2019

AbstractSpecies, and their ecological strategies, are disappearing. Here we use species traits to quantify the current and projected future ecological strategy diversity for 15,484 land mammals and birds. We reveal an ecological strategy surface, structured by life-history (fast–slow) and body mass (small–large) as one major axis, and diet (invertivore–herbivore) and habitat breadth (generalist–specialist) as the other. We also find that of all possible trait combinations, only 9% are currently realized. Based on species’ extinction probabilities, we predict this limited set of viable strategies will shrink further over the next 100 years, shifting the mammal and bird species pool towards small, fast-lived, highly fecund, insect-eating, generalists. In fact, our results show that this projected decline in ecological strategy diversity is much greater than if species were simply lost at random. Thus, halting the disproportionate loss of ecological strategies associated with highly threatened animals represents a key challenge for conservation.
Altered respiratory virome and serum cytokine profile associated with recurrent respiratory tract infections in children
Authors: Li Yanpeng , Fu Xuemin , Ma Jinmin , Zhang Jianhui , Hu Yihong , Dong Wei , Wan Zhenzhou , Li Qiongfang , Kuang Yi-Qun , Lan Ke , Jin Xia , Wang Jian-Hua , Zhang Chiyu 
Published: May 2019

AbstractRecurrent acute respiratory tract infections (ARTIs) affect a large population, yet the specific decisive factors are largely unknown. Here we study a population of 4407 children diagnosed with ARTI, comparing respiratory virome and serum cytokine profiles associated with multiple ARTIs and single ARTI during a six-year period. The relative abundance of Propionibacterium phages is significantly elevated in multiple ARTIs compared to single ARTI group. Serum levels of TIMP-1 and PDGF-BB are markedly increased in multiple ARTIs compared to single-ARTI and non-ARTI controls, making these two cytokines potential predictors for multiple ARTIs. The presence of Propionibacterium phages is associated with higher levels of TIMP-1 and PDGF-BB. Receiver operating characteristic (ROC) curve analyses show that the combination of TIMP-1, PDGF-BB and Propionibacterium phages could be a strong predictor for multiple ARTIs. These findings indicate that respiratory microbe homeostasis and specific cytokines are associated with the onset of multiple ARTIs over time.
Giant anisotropic magnetoresistance and nonvolatile memory in canted antiferromagnet Sr2IrO4
Authors: Wang Haowen , Lu Chengliang , Chen Jun , Liu Yong , Yuan S. L. , Cheong Sang-Wook , Dong Shuai , Liu Jun-Ming 
Published: May 2019

AbstractAntiferromagnets have been generating intense interest in the spintronics community, owing to their intrinsic appealing properties like zero stray field and ultrafast spin dynamics. While the control of antiferromagnetic (AFM) orders has been realized by various means, applicably appreciated functionalities on the readout side of AFM-based devices are urgently desired. Here, we report the remarkably enhanced anisotropic magnetoresistance (AMR) as giant as ~160% in a simple resistor structure made of AFM Sr2IrO4 without auxiliary reference layer. The underlying mechanism for the giant AMR is an indispensable combination of atomic scale giant-MR-like effect and magnetocrystalline anisotropy energy, which was not accessed earlier. Furthermore, we demonstrate the bistable nonvolatile memory states that can be switched in-situ without the inconvenient heat-assisted procedure, and robustly preserved even at zero magnetic field, due to the modified interlayer coupling by 1% Ga-doping in Sr2IrO4. These findings represent a straightforward step toward the AFM spintronic devices.
A modulator-free quantum key distribution transmitter chip
Authors: Paraïso Taofiq K. , De Marco Innocenzo , Roger Thomas , Marangon Davide G. , Dynes James F. , Lucamarini Marco , Yuan Zhiliang , Shields Andrew J. 
Published: May 2019

AbstractQuantum key distribution (QKD) has convincingly been proven compatible with real life applications. Its wide-scale deployment in optical networks will benefit from an optical platform that allows miniature devices capable of encoding the necessarily complex signals at high rates and with low power consumption. While photonic integration is the ideal route toward miniaturisation, an efficient route to high-speed encoding of the quantum phase states on chip is still missing. Consequently, current devices rely on bulky and high power demanding phase modulation elements which hinder the sought-after scalability and energy efficiency. Here we exploit a novel approach to high-speed phase encoding and demonstrate a compact, scalable and power efficient integrated quantum transmitter. We encode cryptographic keys on-demand in high repetition rate pulse streams using injection-locking with deterministic phase control at the seed laser. We demonstrate record secure-key-rates under multi-protocol operation. Our modulator-free transmitters enable the development of high-bit rate quantum communications devices, which will be essential for the practical integration of quantum key distribution in high connectivity networks.
Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China
Authors: Du Zhanwei , Yang Yongjian , Ertem Zeynep , Gao Chao , Huang Liping , Huang Qiuyang , Bai Yuan 
Published: May 2019

AbstractPosition tracking using cellular phones can provide fine-grained traveling data between and within cities on hourly and daily scales, giving us a feasible way to explore human mobility. However, such fine-grained data are traditionally owned by private companies and is extremely rare to be publicly available even for one city. Here, we present, to the best of our knowledge, the largest inter-city movement dataset using cellular phone logs. Specifically, our data set captures 3-million cellular devices and includes 70 million movements. These movements are measured at hourly intervals and span a week-long duration. Our measurements are from the southeast Sangliao Basin, Northeast China, which span three cities and one country with a collective population of 8 million people. The dynamic, weighted and directed mobility network of inter-urban divisions is released in simple formats, as well as divisions’ GPS coordinates to motivate studies of human interactions within and between cities.
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
Authors: Avesani Paolo , McPherson Brent , Hayashi Soichi , Caiafa Cesar F. , Henschel Robert , Garyfallidis Eleftherios , Kitchell Lindsey , Bullock Daniel , Patterson Andrew , Olivetti Emanuele , Sporns Olaf , Saykin Andrew J. , Wang Lei , Dinov Ivo , Hancock David , Caron Bradley , Qian Yiming , Pestilli Franco 
Published: May 2019

AbstractWe describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-object-identifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientific reproducibility and data upcycling by providing open access to the research assets for utilization by multiple scientific communities.
Identification of 13 Spirogyra species (Zygnemataceae) by traits of sexual reproduction induced under laboratory culture conditions
Authors: Takano Tomoyuki , Higuchi Sumio , Ikegaya Hisato , Matsuzaki Ryo , Kawachi Masanobu , Takahashi Fumio , Nozaki Hisayoshi 
Published: May 2019

AbstractThe genus Spirogyra is abundant in freshwater habitats worldwide, and comprises approximately 380 species. Species assignment is often difficult because identification is based on the characteristics of sexual reproduction in wild-collected samples and spores produced in the field or laboratory culture. We developed an identification procedure based on an improved methodology for inducing sexual conjugation in laboratory-cultivated filaments. We tested the modified procedure on 52 newly established and genetically different strains collected from diverse localities in Japan. We induced conjugation or aplanospore formation under controlled laboratory conditions in 15 of the 52 strains, which allowed us to identify 13 species. Two of the thirteen species were assignable to a related but taxonomically uncertain genus, Temnogyra, based on the unique characteristics of sexual reproduction. Our phylogenetic analysis demonstrated that the two Temnogyra species are included in a large clade comprising many species of Spirogyra. Thus, separation of Temnogyra from Spirogyra may be untenable, much as the separation of Sirogonium from Spirogyra is not supported by molecular analyses.
Performance of urban storm drainage network under changing climate scenarios: Flood mitigation in Indian coastal city
Authors: Andimuthu Ramachandran , Kandasamy Palanivelu , Mudgal B V , Jeganathan Anushiya , Balu Abinaya , Sankar Guganesh 
Published: May 2019

AbstractManaging storm water under climate uncertainty is a major concern in urban areas throughout the world. There were several floods events recorded in Chennai, a one of the major metropolitan coastal city in India. The flood incidences were repeatedly reported in recent decades. In this study, the existing state of storm water drains are evaluated under current and future climate scenarios in one of the most flood-prone areas of Chennai viz. Velachery zone. The mitigation measures are recommended to increase its resilience against floods. The Intergovernmental Panel on Climate Change (IPCC) CMIP5 models of Representative Concentration Pathways (RCP) 4.5 are used to develop possible future climate change scenarios of the city. The daily rainfall data for the period 1975–2015 obtained from India Meteorological Department are used to find the extremities and to generate Intensity-Duration-Frequency (IDF) curves. The IDF curves are generated for 2, 5, 10, 50, 100 year return period under current and future climate scenarios. The storm drainage network are delineated with Differential Geographic Positioning System (DGPS) survey. The integrated hydraulic and hydrological modelling is carried out to assess the flood carrying capacity of storm drainage under present and future climate scenarios. The vulnerable hotspots are identified and flood mitigation measures are suggested to reduce the flood risk at Velachery.
Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood
Authors: Morriss Jayne , Christakou Anastasia , van Reekum Carien M. 
Published: May 2019

AbstractPrevious research in rodents and humans points to an evolutionarily conserved profile of blunted threat extinction learning during adolescence, underpinned by brain structures such as the amygdala and medial prefrontal cortex (mPFC). In this study, we examine age-related effects on the function and structural connectivity of this system in threat extinction learning in adolescence and young adulthood. Younger age was associated with greater amygdala activity and later engagement of the mPFC to learned threat cues as compared to safety cues. Furthermore, greater structural integrity of the uncinate fasciculus, a white matter tract that connects the amygdala and mPFC, mediated the relationship between age and mPFC engagement during extinction learning. These findings suggest that age-related changes in the structure and function of amygdala-mPFC circuitry may underlie the protracted maturation of threat regulatory processes.
The origin and population genetic structure of the ‘golden tide’ seaweeds, Sargassum horneri, in Korean waters
Authors: Byeon Seo Yeon , Oh Hyun-Ju , Kim Sangil , Yun Suk Hyun , Kang Ji Hyoun , Park Sang Rul , Lee Hyuk Je 
Published: May 2019

AbstractIn recent years, drifting and inundating brown seaweed (Sargassum horneri) biomass, called ‘golden tides’, has frequently drifted and accumulated along the southern coastlines of Korea, causing devastating impacts on the local economy and coastal ecosystems. In this study, based on combined analyses of mitochondrial DNA cox3 gene and seven microsatellites, we investigated the genetic makeup of the floating S. horneri populations (N = 14) in comparison to Korean benthic populations (N = 5), and tracked their genetic sources. Given a shared mtDNA haplotype and oceanic circulation systems, the floating populations may have been originated from the southeastern coast of China (e.g. Zhoushan, Zhejiang province). Population structure analyses with microsatellites revealed two distinct genetic clusters, each comprising floating and benthic populations. High levels of inter-population differentiation were detected within Korean benthic samples. The floating populations from the same periods during a 2015–2018 year were genetically more different from one another than those from different periods. These results suggest that the floating populations might be of multiple genetic sources within geographic origin(s). This study will inform management efforts including the development of “S. horneri blooming forecasting system”, which will assist in mitigating ecological and economic damages on the Korean coastal ecosystems in the future.
Phenotypic and genetic characterisation of an emerging reovirus from Pekin ducks in China
Authors: Cao Yanxin , Sun Mengxu , Wang Jun , Hu Xueying , He Weiyong , Su Jingliang 
Published: May 2019

AbstractIn June 2016, a disease characterised by intestinal haemorrhage with a mortality rate of approximately 5% was observed in a duck farm in Shandong province, China. Here, we report the isolation and characterisation of a reovirus from duck tissue samples by inoculating duck embryos and duck embryo fibroblasts (DEF). The isolate replicated in DEF and Vero cells and formed syncytia. Sequence analysis revealed that the viral genome was 23,434 nt in length with typical structure organization, consisting of 10 dsRNA segments ranging from 3998 nt (L1) to 1190 nt (S4) in size, and was genetically distinct from previous Chinese duck-origin reoviruses. Phylogenetic analyses showed that the isolate was most closely related to the recently reported duck reovirus D2533/6/1-10 isolated in Germany, forming a monophyletic branch different from known reference avian reoviruses. Experimental infection results indicated that the isolate replicated transiently in ducklings and was shed via faeces. Infection with the isolate caused epithelial cell damage and lymphocyte apoptotic death in the bursa of Fabricius, which may result in immunosuppression in infected ducklings. The role of the isolate in current duck haemorrhage enteritis remains to be determined, but its damage to the bursa warrants further investigation of the duck immune response.
A Joint Modeling Approach for Childhood Meat, Fish and Egg Consumption and the Risk of Advanced Islet Autoimmunity
Authors: Syrjälä Essi , Nevalainen Jaakko , Peltonen Jaakko , Takkinen Hanna-Mari , Hakola Leena , Åkerlund Mari , Veijola Riitta , Ilonen Jorma , Toppari Jorma , Knip Mikael , Virtanen Suvi M. 
Published: May 2019

AbstractSeveral dietary factors have been suspected to play a role in the development of advanced islet autoimmunity (IA) and/or type 1 diabetes (T1D), but the evidence is fragmentary. A prospective population-based cohort of 6081 Finnish newborn infants with HLA-DQB1-conferred susceptibility to T1D was followed up to 15 years of age. Diabetes-associated autoantibodies and diet were assessed at 3- to 12-month intervals. We aimed to study the association between consumption of selected foods and the development of advanced IA longitudinally with Cox regression models (CRM), basic joint models (JM) and joint latent class mixed models (JLCMM). The associations of these foods to T1D risk were also studied to investigate consistency between alternative endpoints. The JM showed a marginal association between meat consumption and advanced IA: the hazard ratio adjusted for selected confounding factors was 1.06 (95% CI: 1.00, 1.12). The JLCMM identified two classes in the consumption trajectories of fish and a marginal protective association for high consumers compared to low consumers: the adjusted hazard ratio was 0.68 (0.44, 1.05). Similar findings were obtained for T1D risk with adjusted hazard ratios of 1.13 (1.02, 1.24) for meat and 0.45 (0.23, 0.86) for fish consumption. Estimates from the CRMs were closer to unity and CIs were narrower compared to the JMs. Findings indicate that intake of meat might be directly and fish inversely associated with the development of advanced IA and T1D, and that disease hazards in longitudinal nutritional epidemiology are more appropriately modeled by joint models than with naive approaches.
GFP nanobodies reveal recently-exocytosed pHluorin molecules
Authors: Seitz Katharina J. , Rizzoli Silvio O. 
Published: May 2019

AbstractNeurotransmitter release requires vesicle recycling, which consists of exocytosis, endocytosis and the reformation of new fusion-competent vesicles. One poorly understood aspect in this cycle is the fate of the vesicle proteins after exocytosis, when they are left on the plasma membrane. Such proteins are often visualized by coupling to pH-sensitive GFP moieties (pHluorins). However, pHluorin imaging is typically limited by diffraction to spots several-fold larger than the vesicles. Here we show that pHuorin-tagged vesicle proteins can be easily detected using single-domain antibodies (nanobodies) raised against GFP. By coupling the nanobodies to chemical fluorophores that were optimal for super-resolution imaging, we could analyze the size and intensity of the groups of pHluorin-tagged proteins under a variety of conditions, in a fashion that would have been impossible based solely on the pHluorin fluorescence. We conclude that nanobody-based pHluorin detection is a promising tool for investigating post-exocytosis events in neurons.