bluuebunny/crossref_metadata_2025_split huggingface dataset:
Current Advances in Multiple Myeloma: A Post International Myeloma Society (IMS 2022) Round Table Debate by the International Academy for Clinical Hematology (IACH)
Authors: Bahlis Nizar J. , Costa Luciano J. , Facon Thierry , Harousseau Jean-Luc , Manier Salomon , Perrot Aurore , Touzeau Cyrille , Mohty Mohamad 
Published: April 2023

AbstractThis round table discussion organized by the International Academy for Clinical Hematology (IACH) was dedicated to the 19th annual meeting of the International Myeloma Society (IMS), which was held in Los Angeles between the 25th and 27th August 2022. After some key meetings of the discipline of the field of clinical hematology, the IACH organizes regular round table discussion in order to summarize the flow of information and get the opinion of a panel of experts and the key take-home messages. As part of this discussion, the panellists debated 6 key topics: disease monitoring, management of high-risk multiple myeloma (MM), induction for newly-diagnosed MM, management of relapsed MM, immune reconstitution, and vaccination and cellular therapy in MM.
Neural Clustering and Ranking Approach for Gas-Theft Suspect Detection
Authors: Pan Lusheng , Yi Xiuwen , Chen Shun , Huang Yanyong , Zheng Yu 
Published: April 2023

AbstractSome boiler room users steal natural gas by refitting equipment without permission in winter, resulting in gas safety hazards and social problems. Instead of random manual on-site inspection, it is crucial to discover gas-theft suspects timely and automatically by analyzing the gas consumption data. Unfortunately, gas-theft behaviors are complex and various, while the caught gas thefts by gas companies are limited. In this paper, we propose a neural clustering and ranking approach to detect gas theft suspects under the positive-unlabeled learning framework. Our approach contains two modules: joint clustering for normal user identification and triplet ranking for suspicious user detection. The former module considers the regular behaviors to distinguish between normal and unstable users by integrating representation learning and clustering. Then, considering the identified normal samples and the labeled gas thefts, the later module excavates the behavior correlations to discover suspects among unstable users through triplet relation ranking. Thus, normal user identification and suspicious user detection are seamlessly connected to overcome the label scarcity problem. We conduct extensive experiments on three real-world datasets, and the results demonstrate the advantages of our approach over various baselines.
Spatial Discrepancy of Hydrodynamics‐Driven Impacts on Organic Biomarkers Deposition and ′ and TEX86 Temperature Proxies Applications
Authors: Xiao Rui , Xing Lei , Chen Junhui , Wang Yuning , Zhong Guoqiang , Zhou Yang , Huo Xuan , Ding Yang , Bao Rui 
Published: April 2023

AbstractThere is evidence that sedimentary organic matter is prone to lateral transport under hydrodynamic processes before its final deposition on the seafloor, restricting the applicability of molecular proxies. In this study, we examine the abundances of marine and terrestrial biomarkers in bulk and the grain‐size fractionated samples (<20, 20–63, and >63 μm fractions) from surface sediments in the South Yellow Sea to decipher the spatial influences of hydrodynamic processes on the biomarker distributions and molecule‐proxies' applications. Our results show that spatial deviations between proxies‐derived sea surface temperature (SST; the ′ and TEX86 indexes) and satellite‐derived annual mean SST may result from the lateral transportation of the alkenones and isoprenoid Glycerol Dialkyl Glycerol Tetraethers driven by dominated nearshore coastal currents. We propose a spatial‐SST correction approach to obtain more accurate SST information by removing the hydrodynamically introduced SST bias. Our investigations imply that hydrodynamic processes could be an important factor for controlling the spatial distribution of biomarkers in the ocean, further influencing the applications of biomarker‐based proxies for paleo‐environmental reconstruction. We suggest that this investigation would shed new light on the biogeochemical dynamics of sedimentary organic carbon pump in the shallow ocean, particularly in the passive continental marginal seas with strong hydrodynamic conditions.
Biogeochemical River Runoff Drives Intense Coastal Arctic Ocean CO2 Outgassing
Authors: Bertin C. , Carroll D. , Menemenlis D. , Dutkiewicz S. , Zhang H. , Matsuoka A. , Tank S. , Manizza M. , Miller C. E. , Babin M. , Mangin A. , Le Fouest V. 
Published: April 2023

AbstractArctic warming alters land‐to‐sea fluxes of nutrients and organic matter, which impact air‐sea carbon exchange. Here we use an ocean‐biogeochemical model of the southeastern Beaufort Sea (SBS) to investigate the role of Mackenzie River biogeochemical discharge in modulating air‐sea CO2 fluxes during 2000–2019. The contribution of six biogeochemical discharge constituents leads to a net CO2 outgassing of 0.13 TgC yr−1, with a decrease in the coastal SBS carbon sink of 0.23 and 0.4 TgC yr−1 due to riverine dissolved organic and inorganic carbon, respectively. Years with high (low) discharge promote more CO2 outgassing (uptake) from the river plume. These results demonstrate that the Mackenzie River modulates the capacity of the SBS to act as a sink or source of atmospheric CO2. Our work suggests that accurate model representation of land‐to‐sea biogeochemical coupling can be critical for assessing present‐day Arctic coastal ocean response to the rapidly changing environment.
How Are Tornadic Supercell Soundings Significantly Different From Nearby Baseline Environments?
Authors: Hua Zhanxiang , Anderson‐Frey Alexandra 
Published: April 2023

AbstractThis study explores how tornadic supercell soundings significantly differ from the same‐location and same‐hour baseline environment soundings, sampled from the days prior to or following the event. Permutation testing is used to identify whether sounding‐derived parameters mixed‐layer convective available potential energy and 0–1 km storm‐relative helicity are significantly different between the tornadic and baseline environment. Typically, in an environment with marginal values of certain key environmental parameters, anomalous values of those environmental parameters are more strongly associated with supercell tornadoes. Furthermore, many tornadic events already exhibit environmental conditions favorable for tornadic supercells a day prior to the event itself. Generally, supercell tornadoes that occur during typical peak tornadic activity time frames are easier to distinguish from baseline (non‐tornadic) environments compared to those occurring in other time frames. Spatiotemporal variations of distinguishability between tornadic and baseline environmental parameters add complexity to traditional parameter‐based fixed threshold forecasting.
The Effect of Mechanical Shaking on the Rising Velocity of Bubbles in High‐Viscosity Shear‐Thinning Fluids
Authors: Seropian Gilles , Higginbotham Kaylon , Kennedy Ben M. , Schaefer Lauren N. , Walter Thomas R. , Soldati Arianna 
Published: April 2023

AbstractThe rising velocity of an air bubble in a non‐Newtonian shear‐thinning fluid at low Reynolds numbers is generally similar to the Newtonian case given by Stokes' law. However, when the shear‐thinning fluid is subject to mechanical oscillations, the rising velocity could significantly increase. Here, we present a series of experiments quantifying the rising velocity of single bubbles during shaking in very high‐viscosity (2,000–30,000 Pa·s) shear‐thinning silicone oils. Air bubbles (18–30 mm diameter) were injected in a tank mounted on a shaking table. The tank was horizontally oscillated, at accelerations between 0.4 and 2 g. We observed a small increase in the rising velocity of the shaking cases at our experimental conditions. The increase was larger when bubbles were large and accelerations were high. Larger accelerations experienced the largest observational errors and we emphasize the exploratory nature of our results. We also measured the change in bubble diameter during the oscillations and computed the shear rate at the bubble surface. Maximum shear rates were in the range of 0.04–0.08 s−1. At these shear rates, our analysis indicates that shear thinning behavior of our analog fluids is expected to be small and compete with elastic behavior. This transitional viscous/elastic regime helps explain the small and variable results of our experiments. Our results are relevant to the study of earthquake‐volcano interactions. Most crystal‐free silicate melts would exhibit a purely viscous, shear‐thinning behavior in a natural scenario. Seismically enhanced bubble rise could offer an explanation for the observed increased degassing and unrest following large earthquakes.
Multiple Timescale Variations in Water Transparency in the Eastern China Seas over the Period 1997–2019
Authors: Guo Junting , Pan Haidong , Cao Ruichen , Wang Jianfeng , Lv Xianqing 
Published: April 2023

AbstractThe detection of water transparency (Zsd) changes over multiple timescales is an important task that has wide implications from water quality to climate change research. However, to date, the understanding of Zsd variations and their driving factors in the Eastern China Seas is fairly limited. Using the Data Interpolating Empirical Orthogonal Functions (DINEOF) method and a semi‐analytic algorithm, monthly cloud‐free Zsd products over the period 1997–2019 are retrieved from the European Space Agency Ocean Color Climate Change Initiative datasets. Significant Zsd variations on seasonal, interannual, and long‐term timescales, as well as their spatial discrepancies, are quantified in the Eastern China Seas. The first EOF mode of Zsd accounts for 57.46% of the total variance, which is dominated by a seasonal cycle in response to seasonal changes in oceanic and atmospheric factors (e.g., surface winds, sea surface temperature and ocean stratification). The second and third EOF modes are likely associated with seasonal phytoplankton blooms and ocean circulations, respectively. Factors that affect the interannual variation in Zsd, including sea surface temperature, wind speed, river discharge, and the Oceanic Niño Index, are quantitatively evaluated. The long‐term trends suggest different potential driving forces for the Zsd patterns at a regional scale, such as climate‐driven increased sea surface temperatures, weakened surface winds, reduced sediment discharge, and eutrophication of coastal waters. Overall, this study presents the first comprehensive investigation of Zsd variations in the Eastern China Seas at multiple timescales and an analysis of their underlying physical and environmental drivers.
Changes in Moisture Sources of Atmospheric Rivers Landfalling the Iberian Peninsula With WRF‐FLEXPART
Authors: Fernández‐Alvarez J. C. , Pérez‐Alarcón A. , Eiras‐Barca J. , Ramos A. M. , Rahimi‐Esfarjani S. , Nieto R. , Gimeno L. 
Published: April 2023

AbstractThis paper makes use of a combination of FLEXPART‐WRF simulations forced with ERA5 and the CESM2 model—incorporated in the CMIP6 project—to infer a series of changes over the present century in the behavior of the landfalling atmospheric rivers (ARs) arriving to the Iberian Peninsula. In addition, future changes in the intensity and position of their main moisture sources are studied. In overall terms, there is a noticeable increase in the amount of moisture transported by ARs in the study region, particularly accentuated by the end of the century. However, no significant changes in the number of events are observed. A northward shift of both the mean position of the ARs as well as their main sources of moisture is also detected, particularly for the end of the century, and in the summer and fall months. In relation to the latter, an increase in the contribution of moisture contribution is also observed, quantitatively compatible with Clausius‐Clapeyron amplification.
Using Wind Dispersion Effects During the InSight Tether Burial Activities to Better Constrain the Regolith Grain Size Distribution
Authors: Verdier N. , Ansan V. , Delage P. , Ali K. S. , Beucler E. , Charalambous C. , Constant E. , Spiga A. , Golombek M. , Marteau E. , Lapeyre R. , Gaudin E. , Yana C. , Hurst K. , Lognonné P. , Banerdt B. W. 
Published: April 2023

AbstractIn an attempt to improve the quality of the seismic signals provided by the seismometer of the InSight mission (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) on Mars, part of the tether linking the seismometer to the InSight lander was buried by some regolith using the scoop of the articulated robotic arm. The regolith in a source area was scraped into piles, scooped and dumped by the scoop from a height of ∼50 cm above the surface onto the tether. Part of the regolith was carried away by the wind and dispersed 1–2 m downwind, as evidenced by the comparison between images taken from the lander before and after the regolith pouring. Using both ballistic trajectory and wind dispersion effects as a sorter, the grain size range was determined through numerical fluid mechanics simulations. The trajectory of the poured grains is determined by the Martian atmospheric and gravimetry conditions, the initial conditions of scoop pouring and grain lithology. The spatial grain distribution on the ground shows a downwind decrease in grain size from the pouring point, with a size ranging from 1 mm near the dump point to ∼100 μm at the farthest area observed on the images. We find that the deposit of grains coarser than 500 μm is controlled mainly by gravity. Grains finer than 100 μm are present in the regolith, but they are not quantifiable with this method because they are blown away by the wind.
Using Deep Learning for an Analysis of Atmospheric Rivers in a High‐Resolution Large Ensemble Climate Data Set
Authors: Higgins Timothy B. , Subramanian Aneesh C. , Graubner Andre , Kapp‐Schwoerer Lukas , Watson Peter A. G. , Sparrow Sarah , Kashinath Karthik , Kim Sol , Delle Monache Luca , Chapman Will 
Published: April 2023

AbstractThere is currently large uncertainty over the impacts of climate change on precipitation trends over the US west coast. Atmospheric rivers (ARs) are a significant source of US west coast precipitation and trends in ARs can provide insight into future precipitation trends. There are already a variety of different methods used to identify ARs, but many are used in contexts that are often difficult to apply to large climate datasets due to their computational cost and requirement of integrated vapor transport as an input variable, which can be expensive to compute in climate models at high temporal frequencies. Using deep learning (DL) to track ARs is a unique approach that can alleviate some of the computational challenges that exist in more traditional methods. However, some questions still remain regarding its flexibility and robustness. This research investigates the consistency of a DL methodology of tracking ARs with more established algorithms to demonstrate its high‐level performance for future studies.
Upstream Proton Cyclotron Waves at Mars During the Passage of ICMEs
Authors: Zhao Dan , Guo Jianpeng , Lin Haibo , Mazelle Christian , He Linxia , Meng Weiduo , Chen Yan , Kong LingGao , Wei Yong , Liu Libo 
Published: April 2023

AbstractThe presence of proton cyclotron waves (PCWs) upstream from Mars indicates picked up protons originating from the Martian extended hydrogen (H) exosphere by the solar wind and loss of H to interplanetary space. The occurrences and properties of PCWs associated with normal solar wind conditions have been extensively investigated since their initial detection about 32 years ago, but little attention has been paid to PCW activity under extreme space weather conditions. Here we characterize PCWs during the passage of interplanetary coronal mass ejections (ICMEs) through the Martian environment using the measurements by the Mars Atmosphere and Volatile EvolutioN spacecraft from December 2014 to February 2019. It is found that PCWs occur more frequently during perihelion periods (Ls = 180°–360°) than during aphelion periods (Ls = 0°–180°) for disturbed times of ICME passage. In the perihelion season, the PCW occurrence rate is increased on average by a factor of about 2 during the ICME phase relative to the pre‐ICME and post‐ICME phases. Moreover, PCWs reveal more pronounced wave characteristics with larger amplitudes, higher ellipticity, and smaller propagation angle with respect to the ambient magnetic field direction during the ICME phase.
Cooking methods and kitchen ventilation availability, usage, perceived performance and potential in Canadian homes
Authors: Sun Liu , Singer Brett C. 
Published: April 2023

Abstract
Background
Cooking is a substantial contributor to air pollutant exposures in many residences. Effective use of kitchen ventilation can mitigate exposure; however, information on its availability, usage, and potential to increase its use across the population has been limited.

Objective
This study aimed to obtain nationally representative information on cooking methods, kitchen ventilation availability and usage, and the potential for education to increase effective usage.

Methods
An online survey was sent to a representative sample of Canadian homes to collect data on cooking methods, the presence and use of mechanical kitchen ventilation devices, perceived device performance, and willingness to implement mitigation strategies. Responses were weighted to match key demographic factors and analyzed using non-parametric statistics.

Results
Among the 4500 respondents, 90% had mechanical ventilation devices over the cooktop (66% of which were vented to the outside), and 30% reported regularly using their devices. Devices were used most often for deep-frying, followed by stir-frying, sautéing or pan-frying, indoor grilling, boiling or steaming. Almost half reported rarely or never using their ventilation devices during baking or oven self-cleaning. Only 10% were fully satisfied with their devices. More frequent use was associated with the device being vented to the outdoors, having more than two speed settings, quiet operation if only one speed, covering over half of the cooktop, and higher perceived effectiveness. After being informed of the benefits of kitchen ventilation, 64% indicated they would consider using their devices more often, preferentially using back burners with ventilation, and/or using higher ventilation device settings when needed.

Impact
This study provides population-representative data on the most used cooking methods, kitchen ventilation availability and usage, and influencing factors in Canadian homes. Such data are needed for exposure assessments and evaluating the potential to mitigate cooking-related pollutant exposures via more effective use of kitchen ventilation. The data can be reasonably extrapolated to the United States, given the similarities in residential construction practices and cultural norms between the two countries.
Energy drinks: effects on pediatric 24-h ambulatory blood pressure monitoring. A randomized trial
Authors: Oberhoffer Felix S. , Dalla-Pozza Robert , Jakob André , Haas Nikolaus A. , Mandilaras Guido , Li Pengzhu 
Published: April 2023

Abstract
Background
Energy drinks (EDs) are popular beverages among minors. To date, clinical studies investigating ED-induced effects on the pediatric cardiovascular system are sparse. This study aimed to investigate the effects of a single, bodyweight-adjusted ED dosage on 24-h ambulatory blood pressure monitoring (ABPM) in healthy children and adolescents.

Methods
This study was a randomized, single-blind, placebo-controlled, crossover clinical trial. Study participants received a single, bodyweight-adjusted ED amount or a placebo drink on 2 consecutive days at similar morning hours. Twenty-four-hour ABPM was assessed via an automated oscillometric blood pressure device after beverage consumption on both study days.

Results
A total of 17 healthy children and teenagers (13.90 (12.29–17.89) years) were included in the final analysis. The ED consumption led, compared to the placebo intake, to a significantly higher 24-h systolic (115.90 (110.22–118.04) vs. 110.64 (108.09–115.45) mmHg, p = 0.013) and diastolic blood pressure (66.08 (64.20–68.32) vs. 62.63 (61.40–66.46) mmHg, p = 0.005).

Conclusions
The single, bodyweight-adjusted ED consumption is linked with a significantly higher systolic as well as diastolic 24-h blood pressure in healthy children and adolescents. Minors, particularly those with an increased cardiovascular morbidity, should be discouraged from drinking EDs.

Impact

Energy drinks (EDs) are consumed by many children and teenagers. While adverse cardiovascular events after ED consumption were reported in the literature, the effects of these beverages on the pediatric 24-h blood pressure profile have not been systematically evaluated yet. In our manuscript, we demonstrate for the first time that acute ED consumption is associated with a significantly higher 24-h systolic blood pressure and diastolic blood pressure in healthy minors.
Biogeographic patterns of biosynthetic potential and specialized metabolites in marine sediments
Authors: Chase Alexander B , Bogdanov Alexander , Demko Alyssa M , Jensen Paul R 
Published: April 2023

Abstract
While the field of microbial biogeography has largely focused on the contributions of abiotic factors to community patterns, the potential influence of biotic interactions in structuring microbial communities, such as those mediated by the production of specialized metabolites, remains largely unknown. Here, we examined the relationship between microbial community structure and specialized metabolism at local spatial scales in marine sediment samples collected from the Long-Term Ecological Research (LTER) site in Moorea, French Polynesia. By employing a multi-omic approach to characterize the taxonomic, functional, and specialized metabolite composition within sediment communities, we find that biogeographic patterns were driven by local scale processes (e.g., biotic interactions) and largely independent of dispersal limitation. Specifically, we observed high variation in biosynthetic potential (based on Bray-Curtis dissimilarity) between samples, even within 1 m2 plots, that reflected uncharacterized chemical space associated with site-specific metabolomes. Ultimately, connecting biosynthetic potential to community metabolomes facilitated the in situ detection of natural products and revealed new insights into the complex metabolic dynamics associated with sediment microbial communities. Our study demonstrates the potential to integrate biosynthetic genes and metabolite production into assessments of microbial community dynamics.