bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multidecadal Variability in Mediterranean Sea Surface Temperature and Its Sources
Authors: Yan Xiaoqin , Tang Youmin 
Published: April 2021

AbstractThe multidecadal variability in Mediterranean Sea surface temperature (MSMV) exerts important climate impacts on both the Mediterranean region and remote areas at hemispheric scales and has long been identified in previous studies. However, its key region and source are still unclear. For the first time, we show that the key region of the MSMV is in the eastern Mediterranean, where the MSMV can persist throughout the year. The MSMV in the central and western Mediterranean occurs mainly in summer. Comparison of the North Atlantic Oscillation (NAO) and Atlantic Multidecadal Variability (AMV) indices shows that the cumulative NAO index has a better consistency with the MSMV, suggesting that the MSMV most likely results from the cumulative effect of NAO atmospheric forcing on ocean circulation in the Mediterranean Sea. The stable lag relationship between the cumulative NAO index and the MSMV provides a natural indicator for the decadal prediction of the MSMV.
Natural and Experimental Constraints on a Flow Law for Dislocation‐Dominated Creep in Wet Quartz
Authors: Lusk Alexander D. J. , Platt John P. , Platt Jason A. 
Published: April 2021

AbstractWe present a flow law for dislocation‐dominated creep in wet quartz derived from compiled experimental and field‐based rheological data. By integrating the field‐based data, including independently calculated strain rates, deformation temperatures, pressures, and differential stresses, we add constraints for dislocation‐dominated creep at conditions unattainable in quartz deformation experiments. A Markov Chain Monte Carlo (MCMC) statistical analysis computes internally consistent parameters for the generalized flow law: = Aσne−(Q+VP)/RT. From this initial analysis, we identify different effective stress exponents for quartz deformed at confining pressures above and below ∼700 MPa. To minimize the possible effect of confining pressure, compiled data are separated into “low‐pressure” (<560 MPa) and “high‐pressure” (700–1,600 MPa) groups and reanalyzed using the MCMC approach. The “low‐pressure” data set, which is most applicable at midcrustal to lower‐crustal confining pressures, yields the following parameters: log(A) = −9.30 ± 0.66 MPa−n−r s−1; n = 3.5 ± 0.2; r = 0.49 ± 0.13; Q = 118 ± 5 kJ mol−1; and V = 2.59 ± 2.45 cm3 mol−1. The “high‐pressure” data set produces a different set of parameters: log(A) = −7.90 ± 0.34 MPa−n−r s−1; n = 2.0 ± 0.1; r = 0.49 ± 0.13; Q = 77 ± 8 kJ mol−1; and V = 2.59 ± 2.45 cm3 mol−1. Predicted quartz rheology is compared to other flow laws for dislocation creep; the calibrations presented in this study predict faster strain rates under geological conditions by more than 1 order of magnitude. The change in n at high confining pressure may result from an increase in the activity of grain size sensitive creep.
Dielectric Resonator Negative Group Delay Circuit
Authors: Gu Taochen , Wan Fayu , Thakur Preeti , Thakur Atul , Lalléchère Sébastien , Rahajandraibe Wenceslas , Ravelo Blaise 
Published: April 2021

AbstractThis study investigates an innovative theory on design of dielectric resonator (DR) based negative group delay (NGD) microwave circuit. The NGD circuit is mainly constituted by a cylindrical bulk of DR as a coupling element with a microstrip line. The developed theory is analytically established from the S‐parameters modeling of this innovative DR NGD topology. The NGD analysis and synthesis equations are formulated by considering the key parameters of the DR NGD cell. The NGD existence condition as a function of the DR and microstrip line parameters is also introduced. The behavioral response of the bandpass NGD function is verified with different designed proof‐of‐concepts (POCs). The developed NGD DR topology was validated with original circuit design by commercial simulations and experimentations with insertion and reflection losses lower than 4 and 10 dB, respectively. The POC prototypes operate with low attenuation losses in mono band and dual bands up to 10 GHz. Single NGD cells with DR coupled with “I” and “U” shape microstrip lines operating at different central frequencies were designed and implemented. Then, dual‐band NGD circuits operating at approximately 2.5 and 5 GHz were also tested. The possibility to widen the NGD bandwidth with double DR NGD circuits was investigated.
The Limits of Homogenization: What Hydrological Dynamics can a Simple Model Represent at the Catchment Scale?
Authors: Wen Hang , Brantley Susan L. , Davis Kenneth J. , Duncan Jonathan M. , Li Li 
Published: April 2021

AbstractLarge‐scale models often use a single grid to represent an entire catchment assuming homogeneity; the impacts of such an assumption on simulating evapotranspiration (ET) and streamflow remain poorly understood. Here, we compare hydrological dynamics at Shale Hills (PA, USA) using a complex model (spatially explicit, >500 grids) and a simple model (spatially implicit, two grids using “effective” parameters). We asked two questions: What hydrological dynamics can a simple model reproduce at the catchment scale? What processes does it miss by ignoring spatial details? Results show the simple model can reproduce annual runoff ratios and ET, daily discharge peaks (e.g., storms, floods) but not discharge minima (e.g., droughts) under dry conditions. Neither can it reproduce different streamflow from the two sides of the catchment with distinct land surface characteristics. The similar annual runoff ratios between the two models indicate spatial details are not as important as climate in reproducing annual scale ET and discharge partitioning. Most of the calibrated parameters in the simple model are within the ranges in the complex model, except that effective porosity has to be reduced to 40% of the average porosity from the complex model. The form of the storage‐discharge relationship is similar. The effective porosity in the simple model however represents the dynamic and mobile water storage in the effective drainage area of the complex model that connects to the stream and contributes to high streamflow; it does not represent the passive, immobile water storage in the often disconnected uphill areas. This indicates that an additional uphill functioning unit is needed in the simple model to simulate the full spectrum of high‐low streamflow dynamics in natural catchments.
Quantifying Overestimated Permafrost Extent Driven by Rock Glacier Inventory
Authors: Cao Bin , Li Xin , Feng Min , Zheng Donghai 
Published: April 2021

AbstractRock glaciers (RGs) are normally used as “ground‐truth” observations to indicate the presence of permafrost, and hence extensively used in training permafrost distribution models. However, the unique structure and composition of RGs enhance ground cooling effects, leading to more favorable conditions for permafrost presence than in adjacent ground. We therefore hypothesized and confirmed that permafrost extent is overestimated using RG‐driven models. The results indicate that the permafrost zonation index was overestimated by about 8.4%–13.1% in a model driven by RG observations compared to a model using in situ measurements of permafrost presence/absence. The bias is particularly pronounced in discontinuous permafrost region, where it is thought to be highly sensitive to climate change, resulting in about a 41.8%–90.8% overestimation in permafrost region and 7.0%–18.6% misclassification. In order to better use the large RG datasets available to understand permafrost conditions, we provide a method to correct this bias in a fundamental model.
Buoyancy and Wind Driven Changes in Subantarctic Mode Water During 2004–2019
Authors: Xu Lixiao , Ding Yang , Xie Shang‐Ping 
Published: April 2021

AbstractThe Subantarctic Mode Water (SAMW) is a thick low‐stratified subsurface water mass located north of the Antarctic Circumpolar Current, and it is important for heat uptake. How the SAMW has changed and what drives that change remain to be quantified. By synthesizing observations, eddy‐resolving ocean model hindcasts and climate model simulations, we show that the SAMW has become warmer, fresher, lighter, and weaker in recent decades. As revealed by partially coupled model experiments, the SAMW core has remained at a constant depth since 2004 due to a balance between the enhanced wind stress curl, which deepens the SAMW core, and the buoyancy gain, which shallows the core. The lightening and weakening of the SAMW mainly result from the increased surface buoyancy gain due to climate warming, while the enhanced westerlies play a secondary role in slowing this trend. As greenhouse warming continues, the increased stratification will keep weakening the SAMW.
Water Solubility in Fe‐Bearing Wadsleyite at Mantle Transition Zone Temperatures
Authors: Fei Hongzhan , Katsura Tomoo 
Published: April 2021

AbstractWadsleyite can store significant amounts of H2O in its crystal structure as hydroxyl. However, H2O solubility in Fe‐bearing wadsleyite remains poorly constrained at mantle transition zone temperatures. Previous studies (e.g., Demouchy et al., 2005 [https://doi.org/10.2138/am.2005.1751]; Litasov et al., 2011 [https://doi.org/10.1007/s00269-010-0382-3]) focused primarily on Fe‐free systems, which do not represent the Earth's interior because Fe may affect the H2O solubility. Here, we investigated the temperature dependence of H2O solubility in Fe‐bearing and Fe‐free wadsleyite at 1500–2100 K. The results indicate that H2O solubility in Fe‐bearing wadsleyite is higher than in Fe‐free samples at 1800–1900 K, corresponding to transition zone geotherm, but there is no clear Fe content dependence in the Fe‐bearing samples. Wadsleyite can contain approximately 1.0 wt.% H2O at transition zone temperatures. The H2O solubility in wadsleyite is lower than ringwoodite along a plume geotherm, which may result in dehydration melting at the 520‐km discontinuity by upwelling flow in plumes.
Impact Gardening on Ceres
Authors: Costello E. S. , Ghent R. R. , Lucey P. G. 
Published: April 2021

AbstractWe model impact gardening on Ceres and find that it is orders of magnitude less intense than impact gardening on Earth's Moon. At Ceres' equator, gardening is too shallow to compete with sublimation as a control on the depth to ice. At high latitudes, impact gardening will disturb the top centimeter of ice over 1 Ga but could not contribute to the disruption of thick ice deposits. Because impact gardening is weak on Ceres compared to the Moon, we also predict that the meter and smaller scale surface texture of Ceres may be significantly different from the lunar surface. Regolith may be much thinner on Ceres and the top meter may be significantly less dominated by fine‐grained regolith material.
An Analytical Model for the Permeability in Hydrate‐Bearing Sediments Considering the Dynamic Evolution of Hydrate Saturation and Pore Morphology
Authors: Wang Qilin , Chen Xiongyu , Zhang Lunxiang , Wang Ziming , Wang Dayong , Dai Sheng 
Published: April 2021

AbstractHydrate‐saturation‐dependent permeability in sediments is largely affected by the pore morphology of hydrate. Hydrate pore morphology evolves from a single pore habit, which depends on its formation conditions, toward a sophisticated hybrid habit with increased hydrate saturation. Resulted permeability reduction curves in hydrate‐bearing sediments are diverse and lack universal models. By using a two‐parameter logistic function to link microscale hydrate pore habit evolution with macroscale permeability variations, this study establishes a pore‐morphology‐weighted permeability model that well captures the permeability evolution in hydrate‐bearing sediments at various conditions. The universality of this model is validated and the values of the two parameters in the model are calibrated using published laboratory and pressure core data. This newly proposed model offers a mechanistic understanding of the permeability in hydrate‐bearing sediments and an elegant expression that can be implemented in reservoir simulators for field‐scale gas production estimation.
Role of the nervous system in cancers: a review
Authors: Wang Huan , Zheng Qiming , Lu Zeyi , Wang Liya , Ding Lifeng , Xia Liqun , Zhang Hao , Wang Mingchao , Chen Yicheng , Li Gonghui 
Published: April 2021

AbstractNerves are important pathological elements of the microenvironment of tumors, including those in pancreatic, colon and rectal, prostate, head and neck, and breast cancers. Recent studies have associated perineural invasion with tumor progression and poor outcomes. In turn, tumors drive the reprogramming of neurons to recruit new nerve fibers. Therefore, the crosstalk between nerves and tumors is the hot topic and trend in current cancer investigations. Herein, we reviewed recent studies presenting direct supporting evidences for a better understanding of nerve–tumor interactions.
The XZZX surface code
Authors: Bonilla Ataides J. Pablo , Tuckett David K. , Bartlett Stephen D. , Flammia Steven T. , Brown Benjamin J. 
Published: April 2021

AbstractPerforming large calculations with a quantum computer will likely require a fault-tolerant architecture based on quantum error-correcting codes. The challenge is to design practical quantum error-correcting codes that perform well against realistic noise using modest resources. Here we show that a variant of the surface code—the XZZX code—offers remarkable performance for fault-tolerant quantum computation. The error threshold of this code matches what can be achieved with random codes (hashing) for every single-qubit Pauli noise channel; it is the first explicit code shown to have this universal property. We present numerical evidence that the threshold even exceeds this hashing bound for an experimentally relevant range of noise parameters. Focusing on the common situation where qubit dephasing is the dominant noise, we show that this code has a practical, high-performance decoder and surpasses all previously known thresholds in the realistic setting where syndrome measurements are unreliable. We go on to demonstrate the favourable sub-threshold resource scaling that can be obtained by specialising a code to exploit structure in the noise. We show that it is possible to maintain all of these advantages when we perform fault-tolerant quantum computation.
Adiabatic quantum state transfer in a semiconductor quantum-dot spin chain
Authors: Kandel Yadav P. , Qiao Haifeng , Fallahi Saeed , Gardner Geoffrey C. , Manfra Michael J. , Nichol John M. 
Published: April 2021

AbstractSemiconductor quantum-dot spin qubits are a promising platform for quantum computation, because they are scalable and possess long coherence times. In order to realize this full potential, however, high-fidelity information transfer mechanisms are required for quantum error correction and efficient algorithms. Here, we present evidence of adiabatic quantum-state transfer in a chain of semiconductor quantum-dot electron spins. By adiabatically modifying exchange couplings, we transfer single- and two-spin states between distant electrons in less than 127 ns. We also show that this method can be cascaded for spin-state transfer in long spin chains. Based on simulations, we estimate that the probability to correctly transfer single-spin eigenstates and two-spin singlet states can exceed 0.95 for the experimental parameters studied here. In the future, state and process tomography will be required to verify the transfer of arbitrary single qubit states with a fidelity exceeding the classical bound. Adiabatic quantum-state transfer is robust to noise and pulse-timing errors. This method will be useful for initialization, state distribution, and readout in large spin-qubit arrays for gate-based quantum computing. It also opens up the possibility of universal adiabatic quantum computing in semiconductor quantum-dot spin qubits.
The Botrytis cinerea Crh1 transglycosylase is a cytoplasmic effector triggering plant cell death and defense response
Authors: Bi Kai , Scalschi Loredana , Jaiswal Namrata , Mengiste Tesfaye , Fried Renana , Sanz Ana Belén , Arroyo Javier , Zhu Wenjun , Masrati Gal , Sharon Amir 
Published: April 2021

AbstractCrh proteins catalyze crosslinking of chitin and glucan polymers in fungal cell walls. Here, we show that the BcCrh1 protein from the phytopathogenic fungus Botrytis cinerea acts as a cytoplasmic effector and elicitor of plant defense. BcCrh1 is localized in vacuoles and the endoplasmic reticulum during saprophytic growth. However, upon plant infection, the protein accumulates in infection cushions; it is then secreted to the apoplast and translocated into plant cells, where it induces cell death and defense responses. Two regions of 53 and 35 amino acids are sufficient for protein uptake and cell death induction, respectively. BcCrh1 mutant variants that are unable to dimerize lack transglycosylation activity, but are still able to induce plant cell death. Furthermore, Arabidopsis lines expressing the bccrh1 gene exhibit reduced sensitivity to B. cinerea, suggesting a potential use of the BcCrh1 protein in plant immunization against this necrotrophic pathogen.
Probing bacterial cell wall growth by tracing wall-anchored protein complexes
Authors: Sun Yi-Jen , Bai Fan , Luo An-Chi , Zhuang Xiang-Yu , Lin Tsai-Shun , Sung Yu-Cheng , Shih Yu-Ling , Lo Chien-Jung 
Published: April 2021

AbstractThe dynamic assembly of the cell wall is key to the maintenance of cell shape during bacterial growth. Here, we present a method for the analysis of Escherichia coli cell wall growth at high spatial and temporal resolution, which is achieved by tracing the movement of fluorescently labeled cell wall-anchored flagellar motors. Using this method, we clearly identify the active and inert zones of cell wall growth during bacterial elongation. Within the active zone, the insertion of newly synthesized peptidoglycan occurs homogeneously in the axial direction without twisting of the cell body. Based on the measured parameters, we formulate a Bernoulli shift map model to predict the partitioning of cell wall-anchored proteins following cell division.
Late Pleistocene South American megafaunal extinctions associated with rise of Fishtail points and human population
Authors: Prates Luciano , Perez S. Ivan 
Published: April 2021

AbstractIn the 1970s, Paul Martin proposed that big game hunters armed with fluted projectile points colonized the Americas and drove the extinction of megafauna. Around fifty years later, the central role of humans in the extinctions is still strongly debated in North American archaeology, but little considered in South America. Here we analyze the temporal dynamic and spatial distribution of South American megafauna and fluted (Fishtail) projectile points to evaluate the role of humans in Pleistocene extinctions. We observe a strong relationship between the temporal density and spatial distribution of megafaunal species stratigraphically associated with humans and Fishtail projectile points, as well as with the fluctuations in human demography. On this basis we propose that the direct effect of human predation was the main factor driving the megafaunal decline, with other secondary, but necessary, co-occurring factors for the collapse of the megafaunal community.
Advances in healthcare wearable devices
Authors: Iqbal Sheikh M. A. , Mahgoub Imadeldin , Du E , Leavitt Mary Ann , Asghar Waseem 
Published: April 2021

AbstractWearable devices have found numerous applications in healthcare ranging from physiological diseases, such as cardiovascular diseases, hypertension and muscle disorders to neurocognitive disorders, such as Parkinson’s disease, Alzheimer’s disease and other psychological diseases. Different types of wearables are used for this purpose, for example, skin-based wearables including tattoo-based wearables, textile-based wearables, and biofluidic-based wearables. Recently, wearables have also shown encouraging improvements as a drug delivery system; therefore, enhancing its utility towards personalized healthcare. These wearables contain inherent challenges, which need to be addressed before their commercialization as a fully personalized healthcare system. This paper reviews different types of wearable devices currently being used in the healthcare field. It also highlights their efficacy in monitoring different diseases and applications of healthcare wearable devices (HWDs) for diagnostic and treatment purposes. Additionally, current challenges and limitations of these wearables in the field of healthcare along with their future perspectives are also reviewed.
All urban areas’ energy use data across 640 districts in India for the year 2011
Authors: Tong Kangkang , Nagpure Ajay Singh , Ramaswami Anu 
Published: April 2021

AbstractIndia is the third-largest contributor to global energy-use and anthropogenic carbon emissions. India’s urban energy transitions are critical to meet its climate goals due to the country’s rapid urbanization. However, no baseline urban energy-use dataset covers all Indian urban districts in ways that align with national totals and integrate social-economic-infrastructural attributes to inform such transitions. This paper develops a novel bottom-up plus top-down approach, comprehensively integrating multiple field surveys and utilizing machine learning, to model All Urban areas’ Energy-use (AllUrE) across all 640 districts in India, merged with social-economic-infrastructural data. Energy use estimates in this AllUrE-India dataset are evaluated by comparing with reported energy-use at three scales: nation-wide, state-wide, and city-level. Spatially granular AllUrE data aggregated nationally show good agreement with national totals (<2% difference). The goodness-of-fit ranged from 0.78–0.95 for comparison with state-level totals, and 0.90–0.99 with city-level data for different sectors. The relatively strong alignment at all three spatial scales demonstrates the value of AllUrE-India data for modelling urban energy transitions consistent with national energy and climate goals.
UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors
Authors: Ahmed Shahzad , Wang Dingyang , Park Junyoung , Cho Sung Ho 
Published: April 2021

AbstractIn the past few decades, deep learning algorithms have become more prevalent for signal detection and classification. To design machine learning algorithms, however, an adequate dataset is required. Motivated by the existence of several open-source camera-based hand gesture datasets, this descriptor presents UWB-Gestures, the first public dataset of twelve dynamic hand gestures acquired with ultra-wideband (UWB) impulse radars. The dataset contains a total of 9,600 samples gathered from eight different human volunteers. UWB-Gestures eliminates the need to employ UWB radar hardware to train and test the algorithm. Additionally, the dataset can provide a competitive environment for the research community to compare the accuracy of different hand gesture recognition (HGR) algorithms, enabling the provision of reproducible research results in the field of HGR through UWB radars. Three radars were placed at three different locations to acquire the data, and the respective data were saved independently for flexibility.