bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthcare Professional Training Regarding Gestational Weight Gain: Recommendations and Future Directions
Authors: Olander Ellinor K. , Hill Briony , Skouteris Helen 
Published: February 2021

AbstractPurpose of reviewThe aim of this review was to summarise recent evaluations of healthcare professional training regarding gestational weight gain and provide recommendations for future training.Recent findingsA number of evaluated healthcare professional training sessions regarding gestational weight gain show promising results in terms of increased participant confidence and knowledge and impact on women’s outcomes. It is clear that the interventions which have also implemented resources in the practice environment to support training are the ones most likely to influence gestational weight gain.SummarySupport from healthcare professionals are key to influence pregnant women’s weight gain and should be offered within the standard curriculum and through mandatory training. Factors influencing this support include women’s and healthcare professional characteristics, interpersonal and healthcare system and policy factors. All of these need to be considered when developing healthcare professional training to support women with their gestational weight gain.
Dynamics of risers analysed by means of the segment method, with consideration of bending and torsional stiffness
Authors: Adamiec-Wójcik Iwona , Brzozowska Lucyna , Wojciech Stanisław 
Published: February 2021

AbstractThe paper presents the application of the finite segment method to the analysis of coupled bending torsional vibrations of risers. The method is formulated by means of joint coordinates using multibody methods for kinematics and dynamics. A new approach to calculating bending and torsion moments is presented. The mathematical model and computer program enable us to analyse both free and forced vibrations of risers caused by the motion of the base (vessel or platform) as well as hydrodynamic forces. The model is validated by comparing frequencies of free and forced vibrations calculated from the authors’ own models with the results presented by other researchers. Natural frequencies are also compared with analytical solutions. The influence of sea currents and of the initial twisting of the riser on its natural and forced vibrations is analysed.
Evaluate the priority of product design factors in the process of complex product innovation
Authors: Yu Yinyun , Li Congdong 
Published: February 2021

AbstractWhether the design of product innovation can highly match the customer demand is the key to extend the product life cycle, and it is also the basis for enterprises to carry out continuous production and operation. The first step of product innovation is to identify the relationship between customer demands and design factors of product innovation. This paper focuses on the problems of market control, due to the wide range and deep level of knowledge from customer demands in the process of product innovation. To better meet the customer demands, combined with Entropy Theorem, Prospect Theory and Grey Correlation Method, this paper puts forward a method of importance of design factors of product innovation considering customer demands. First, the Entropy Theorem and Prospect Theory are introduced to calculate the importance of demand factors from the perspective of customers and experts. Second, the priority ranking of design factors of product innovation from the perspective of customer demand is calculated through Gray Correlation Method and Fuzzy TOPSIS. Finally, this method is availability and feasibility thought taking the continuous innovation of electric vehicle as an example.
Benchmarking Quantum Annealing Against “Hard” Instances of the Bipartite Matching Problem
Authors: Vert Daniel , Sirdey Renaud , Louise Stéphane 
Published: February 2021

AbstractThis paper experimentally investigates the behavior of analog quantum computers as commercialized by D-Wave when confronted to instances of the maximum cardinality matching problem which is specifically designed to be hard to solve by means of simulated annealing. We benchmark a D-Wave “Washington” (2X) with 1098 operational qubits on various sizes of such instances and observe that for all but the most trivially small of these it fails to obtain an optimal solution. Thus, our results suggest that quantum annealing, at least as implemented in a D-Wave device, falls in the same pitfalls as simulated annealing and hence provides additional evidences suggesting that there exist polynomial-time problems that such a machine cannot solve efficiently to optimality. Additionally, we investigate the extent to which the qubits interconnection topologies explains these latter experimental results. In particular, we provide evidences that the sparsity of these topologies which, as such, lead to QUBO problems of artificially inflated sizes can partly explain the aforementioned disappointing observations. Therefore, this paper hints that denser interconnection topologies are necessary to unleash the potential of the quantum annealing approach.
Multivariate Analysis on the Ionospheric Responses to Planetary Waves During the 2019 Antarctic SSW Event
Authors: Gu Sheng‐Yang , Teng Chen‐Ke‐Min , Li Na , Jia Mingjiao , Li Guozhu , Xie Haiyong , Ding Zonghua , Dou Xiankang 
Published: February 2021

AbstractA rare minor sudden stratospheric warming is observed in the Antarctic polar region during September 2019, which results in the enhancement of a westward wavenumber 1 quasi‐6‐day wave (Q6DW) in the mesopause region. The impacts of this Q6DW event to the ionosphere are then comparatively investigated with multiple data sets, including the ground‐based total electron content (TEC) from geostationary BeiDou satellite receivers and F2 layer maximum frequency (foF2) from ionosondes ranging from 20 to 40°N over eastern Asia. Besides, the global TEC maps from the International Global Navigation Satellite Systems Service (IGS) are also utilized to study the longitudinal variations. The ground‐based TEC and foF2 observations clearly shows planetary wave (PW) signals with a similar period as those in the mesosphere, which are further verified to be westward with zonal wavenumber 1 by IGS TEC maps. The ground‐based TEC and foF2 also show that the peak of the ionospheric response is at around 1,200–1,400 LT and 25°N over eastern Asia with maximum amplitudes of ∼9 TECU and ∼1.5 MHz, respectively, which are also well captured by IGS TEC maps. Nevertheless, the wave amplitudes exhibited by ground‐based TEC are 2–3 times larger than that in IGS TEC. Besides, the IGS TEC map shows that the ionospheric oscillations at different longitudes peak in the equatorial ionospheric anomaly crest region at similar solar local time, but with significant variabilities in their amplitude. Our analysis shows that the ground‐based ionospheric observations and IGS TEC maps generally exhibit consistent latitudinal structures on the neutral‐ion coupling through PWs.
Determining EMIC Wave Vector Properties Through Multi‐Point Measurements: The Wave Curl Analysis
Authors: Vines S. K. , Anderson B. J. , Allen R. C. , Denton R. E. , Engebretson M. J. , Johnson J. R. , Toledo‐Redondo S. , Lee J. H. , Turner D. L. , Ergun R. E. , Strangeway R. J. , Russell C. T. , Wei H. , Torbert R. B. , Fuselier S. A. , Giles B. L. , Burch J. L. 
Published: February 2021

AbstractElectromagnetic ion cyclotron (EMIC) waves play important roles in particle loss processes in the magnetosphere. Determining the evolution of EMIC waves as they propagate and how this evolution affects wave‐particle interactions requires accurate knowledge of the wave vector, k. We present a technique using the curl of the wave magnetic field to determine k observationally, enabled by the unique configuration and instrumentation of the Magnetospheric MultiScale (MMS) spacecraft. The wave curl analysis is demonstrated for synthetic arbitrary electromagnetic waves with varying properties typical of observed EMIC waves. The method is also applied to an EMIC wave interval observed by MMS on October 28, 2015. The derived wave properties and k from the wave curl analysis for the observed EMIC wave are compared with the Waves in Homogenous, Anisotropic, Multi‐component Plasma (WHAMP) wave dispersion solution and with results from other single‐ and multi‐spacecraft techniques. We find good agreement between k from the wave curl analysis, k determined from other observational techniques, and k determined from WHAMP. Additionally, the variation of k due to the time and frequency intervals used in the wave curl analysis is explored. This exploration demonstrates that the method is robust when applied to a wave containing at least 3–4 wave periods and over a rather wide frequency range encompassing the peak wave emission. These results provide confidence that we are able to directly determine the wave vector properties using this multi‐spacecraft method implementation, enabling systematic studies of EMIC wave k properties with MMS.
Measuring Ripple and Dune Migration in Coprates Chasma, Valles Marineris: A Source to Sink Aeolian System on Mars?
Authors: Boazman S. J. , Davis J. M. , Grindrod P. M. , Balme M. R. , Vermeesch P. , Baird T. 
Published: February 2021

AbstractActive aeolian systems are present across the martian surface, with active dune fields commonly found in depressions such as craters and valleys. There are many dune fields within the equatorial region of Mars, including Valles Marineris, but the effects of topography on wind regimes and consequently dune migration in Valles Marineris is poorly understood. We investigated both the ripple and dune migration in a dune field in Coprates Chasma using High Resolution Science Experiment Images (HiRISE) and Context Camera (CTX) images. Migration rates of dune brinks and ripples were measured over varying time scales, between Earth years 2007–2014. The dunes here are some of the tallest on Mars, with heights of up to 182 m. The dune brinks are migrating eastwards at a rate of 0.1–0.3 m/EY through the valley due to topographical influences on the local winds. Potential sediment sources for the dune field were identified and investigated by studying thermal inertia and mineralogy. The topographic slope‐related katabatic winds travel down the valley walls and converge with the dominant winds traveling through the center of the valley, causing overall eastwards dune migration. Topography is likely the dominant control on the local wind regime; slope winds travel down the sides of the valley walls and are funneled through the center of the valley. These local winds subsequently facilitate the migration of the large dunes in Coprates Chasma, thus expanding our understanding of local winds in the Martian environment.
Calibration Strategies for Detecting Macroscale Patterns in NEON Atmospheric Carbon Isotope Observations
Authors: Fiorella Richard P. , Good Stephen P. , Allen Scott T. , Guo Jessica S. , Still Christopher J. , Noone David C. , Anderegg William R. L. , Florian Christopher R. , Luo Hongyan , Pingintha‐Durden Natchaya , Bowen Gabriel J. 
Published: February 2021

AbstractCarbon fluxes in terrestrial ecosystems and their response to environmental change are a major source of uncertainty in the modern carbon cycle. The National Ecological Observatory Network (NEON) presents the opportunity to merge eddy covariance (EC)‐derived fluxes with CO2 isotope ratio measurements to gain insights into carbon cycle processes. Collected continuously and consistently across >40 sites, NEON EC and isotope data facilitate novel integrative analyses. However, currently provisioned atmospheric isotope data are uncalibrated, greatly limiting ability to perform cross‐site analyses. Here, we present two approaches to calibrating NEON CO2 isotope ratios, along with an R package to calibrate NEON data. We find that calibrating CO2 isotopologues independently yields a lower δ13C bias (<0.05‰) and higher precision (<0.40‰) than directly correcting δ13C with linear regression (bias: <0.11‰, precision: 0.42‰), but with slightly higher error and lower precision in calibrated CO2 mole fraction. The magnitude of the corrections to δ13C and CO2 mole fractions vary substantially by site, underscoring the need for users to apply a consistent calibration framework to data in the NEON archive. Post‐calibration data sets show that site mean annual δ13C correlates negatively with precipitation, temperature, and aridity, but positively with elevation. Forested and agricultural ecosystems exhibit larger gradients in CO2 and δ13C than other sites, particularly during the summer and at night. The overview and analysis tools developed here will facilitate cross‐site analysis using NEON data, provide a model for other continental‐scale observational networks, and enable new advances leveraging the isotope ratios of specific carbon fluxes.
Multicentennial Variability Driven by Salinity Exchanges Between the Atlantic and the Arctic Ocean in a Coupled Climate Model
Authors: Jiang Weimin , Gastineau Guillaume , Codron Francis 
Published: February 2021

AbstractThe IPSL‐CM6‐LR atmosphere‐ocean coupled model exhibits a pronounced multicentennial variability of the Atlantic meridional overturning circulation (AMOC), driven by delayed freshwater accumulation and release in the Arctic. The AMOC fluctuations are preceded by salinity‐driven density anomalies in the main deep convection sites in the Labrador and Greenland seas. During a strong AMOC, a combination of reduced sea ice volume and anomalous currents reduces the freshwater export from the Arctic and leads instead to a slow accumulation of freshwater in the central Arctic. Simultaneously, the saltier Atlantic inflow through the Barents Sea results in a positive salinity anomaly in the Eastern Arctic subsurface. When the surface Central Arctic freshwater pool finally reaches the Lincoln Sea, the oceanic currents around Greenland reorganize, leading to the export of the anomalous Arctic freshwater to the North Atlantic, enhancing the stratification in deep convection sites. The AMOC then decreases, positive salinity anomalies appear in the Central Arctic, and the variability switches to the opposite phase. These AMOC and sea ice fluctuations have broader climate impacts, with a strong AMOC leading to a mean warming of about 0.4°C north of 20°N, reaching up to 1°C in the Arctic lower troposphere during winter. In all seasons, a northward displacement of the intertropical convergence zone is also simulated.
Hydrodynamics, Sediment Transport and Morphological Features at the Confluence Between the Yangtze River and the Poyang Lake
Authors: Yuan Saiyu , Tang Hongwu , Li Kun , Xu Lei , Xiao Yang , Gualtieri Carlo , Rennie Colin , Melville Bruce 
Published: February 2021

AbstractConfluences act as critical nodes in a river network as they affect flow, sediment transport, water quality, and ecological patterns. A complete knowledge about hydro‐morpho‐sedimentary processes at river confluences is still incompleted and it has been usually accepted that secondary flows are weak because of the significant role of form roughness in large rivers. In this study, two field surveys were conducted on the flow structure, suspended sediment transport and morphology of the confluence between the Yangtze River (the largest river in China) and the Poyang Lake (the largest freshwater lake in China). Dual counter‐rotating cells were observed during high flow conditions and a single secondary cell appeared in low flow conditions. These helical cells restricted the core size of high sediment concentration and downwelling flows acted as a barrier hindering the exchange of sediment between the two rivers. Furthermore, the observed large scour hole was likely related to the downwelling and upwelling flows caused by helical motions. In low flow conditions, the scour hole looked like a deep channel, which was likely related to a long‐surviving helical cell. The scour hole disappeared further downstream, when either the helical motion got weak during low flow conditions, or when a reverse helical cell occurred during high flow conditions. Hydrodynamics, suspended sediment transport and morphological features observed at such a large confluence demonstrated that river planform geometry and discharge ratio affected the flow structure, especially the helical motion. This in turn affected sediment transport as well as the local bed morphology.
Evaluating inter-study variability in phthalate and trace element analyses within the Children’s Health Exposure Analysis Resource (CHEAR) using multivariate control charts
Authors: Mazzella Matthew J. , Barr Dana Boyd , Kannan Kurunthachalam , Amarasiriwardena Chitra , Andra Syam S. , Gennings Chris 
Published: February 2021

AbstractBackgroundThe Children’s Health Exposure Analysis Resource (CHEAR) program allows researchers to expand their research goals by offering the assessment of environmental exposures in their previously collected biospecimens. Samples are analyzed in one of CHEAR’s network of six laboratory hubs with the ability to assess a wide array of environmental chemicals. The ability to assess inter-study variability is important for researchers who want to combine datasets across studies and laboratories.ObjectiveHerein we establish a process of evaluating inter-study variability for a given analytic method.MethodsCommon quality control (QC) pools at two concentration levels (A and B) in urine were created within CHEAR for insertion into each batch of samples tested at a rate of three samples of each pool per 100 study samples. We assessed these QC pool results for seven phthalates analyzed for five CHEAR studies by three different lab hubs utilizing multivariate control charts to identify out-of-control runs or sets of samples associated with a given QC sample. We then tested the conditions that would lead to an out-of-control run by simulating outliers in an otherwise “in-control” set of 12 trace elements in blood QC samples (NIST SRM 955c).ResultsWhen phthalates were assessed within study, we identified a single out-of-control run for two of the five studies. Combining QC results across lab hubs, all of the runs from these two studies were now in-control, while multiple runs from two other studies were pushed out-of-control. In our simulation study we found that 3–6 analytes with outlier values (5xSD) within a run would push that run out of control in 65–83% of simulations, respectively.SignificanceWe show how acceptable bounds of variability can be established for a given analytic method by evaluating QC materials across studies using multivariate control charts.
Repurposing dextromethorphan and metformin for treating nicotine-induced cancer by directly targeting CHRNA7 to inhibit JAK2/STAT3/SOX2 signaling
Authors: Wang Lu , Du Liang , Xiong Xiao , Lin Yusheng , Zhu Jianlin , Yao Zhimeng , Wang Shuhong , Guo Yi , Chen Yuping , Geary Kyla , Pan Yunlong , Zhou Fuyou , Gao Shegan , Zhang Dianzheng , Yeung Sai-Ching Jim , Zhang Hao 
Published: February 2021

AbstractSmoking is one of the most impactful lifestyle-related risk factors in many cancer types including esophageal squamous cell carcinoma (ESCC). As the major component of tobacco and e-cigarettes, nicotine is not only responsible for addiction to smoking but also a carcinogen. Here we report that nicotine enhances ESCC cancer malignancy and tumor-initiating capacity by interacting with cholinergic receptor nicotinic alpha 7 subunit (CHRNA7) and subsequently activating the JAK2/STAT3 signaling pathway. We found that aberrant CHRNA7 expression can serve as an independent prognostic factor for ESCC patients. In multiple ESCC mouse models, dextromethorphan and metformin synergistically repressed nicotine-enhanced cancer-initiating cells (CIC) properties and inhibited ESCC progression. Mechanistically, dextromethorphan non-competitively inhibited nicotine binding to CHRNA7 while metformin downregulated CHRNA7 expression by antagonizing nicotine-induced promoter DNA hypomethylation of CHRNA7. Since dextromethorphan and metformin are two safe FDA-approved drugs with minimal undesirable side-effects, the combination of these drugs has a high potential as either a preventive and/or a therapeutic strategy against nicotine-promoted ESCC and perhaps other nicotine-sensitive cancer types as well.
Cancer-associated fibroblast secretion of PDGFC promotes gastrointestinal stromal tumor growth and metastasis
Authors: Yoon Hyunho , Tang Chih-Min , Banerjee Sudeep , Yebra Mayra , Noh Sangkyu , Burgoyne Adam M. , Torre Jorge De la , Siena Martina De , Liu Mengyuan , Klug Lillian R. , Choi Yoon Young , Hosseini Mojgan , Delgado Antonio L. , Wang Zhiyong , French Randall P. , Lowy Andrew , DeMatteo Ronald P. , Heinrich Michael C. , Molinolo Alfredo A. , Gutkind J. Silvio , Harismendy Olivier , Sicklick Jason K. 
Published: February 2021

AbstractTargeted therapies for gastrointestinal stromal tumor (GIST) are modestly effective, but GIST cannot be cured with single agent tyrosine kinase inhibitors. In this study, we sought to identify new therapeutic targets in GIST by investigating the tumor microenvironment. Here, we identified a paracrine signaling network by which cancer-associated fibroblasts (CAFs) drive GIST growth and metastasis. Specifically, CAFs isolated from human tumors were found to produce high levels of platelet-derived growth factor C (PDGFC), which activated PDGFC-PDGFRA signal transduction in GIST cells that regulated the expression of SLUG, an epithelial-mesenchymal transition (EMT) transcription factor and downstream target of PDGFRA signaling. Together, this paracrine induce signal transduction cascade promoted tumor growth and metastasis in vivo. Moreover, in metastatic GIST patients, SLUG expression positively correlated with tumor size and mitotic index. Given that CAF paracrine signaling modulated GIST biology, we directly targeted CAFs with a dual PI3K/mTOR inhibitor, which synergized with imatinib to increase tumor cell killing and in vivo disease response. Taken together, we identified a previously unappreciated cellular target for GIST therapy in order to improve disease control and cure rates.
Functional hair follicle regeneration: an updated review
Authors: Ji Shuaifei , Zhu Ziying , Sun Xiaoyan , Fu Xiaobing 
Published: February 2021

AbstractThe hair follicle (HF) is a highly conserved sensory organ associated with the immune response against pathogens, thermoregulation, sebum production, angiogenesis, neurogenesis and wound healing. Although recent advances in lineage-tracing techniques and the ability to profile gene expression in small populations of cells have increased the understanding of how stem cells operate during hair growth and regeneration, the construction of functional follicles with cycling activity is still a great challenge for the hair research field and for translational and clinical applications. Given that hair formation and cycling rely on tightly coordinated epithelial–mesenchymal interactions, we thus review potential cell sources with HF-inducive capacities and summarize current bioengineering strategies for HF regeneration with functional restoration.