bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Century‐Long Trajectory of Phosphorus Loading and Export From Mississippi River Basin to the Gulf of Mexico: Contributions of Multiple Environmental Changes
Authors: Bian Zihao , Pan Shufen , Wang Zhuonan , Yao Yuanzhi , Xu Rongting , Shi Hao , Kalin Latif , Anderson Christopher , Justic Dubravko , Lohrenz Steven , Tian Hanqin 
Published: May 2022

AbstractPhosphorus (P) control is critical to mitigating eutrophication in aquatic ecosystems, but the effectiveness of controlling P export from soils has been limited by our poor understanding of P dynamics along the land‐ocean aquatic continuum as well as the lack of well‐developed process models that effectively couple terrestrial and aquatic biogeochemical P processes. Here, we coupled riverine P biogeochemical processes and water transport with terrestrial processes within the framework of the Dynamic Land Ecosystem Model to assess how multiple environmental changes, including fertilizer and manure P uses, land use, climate, and atmospheric CO2, have affected the long‐term dynamics of P loading and export from the Mississippi River Basin to the Gulf of Mexico during 1901–2018. Simulations show that riverine exports of dissolved inorganic phosphorus (DIP), dissolved organic phosphorus, particulate organic phosphorus (POP), and particulate inorganic phosphorus (PIP) increased by 42%, 53%, 60%, and 53%, respectively, since the 1960s. Riverine DIP and PIP exports were the dominant components of the total P flux. DIP export was mainly enhanced by the growing mineral P fertilizer use in croplands, while increased PIP and POP exports were a result of the intensified soil erosion due to increased precipitation. Climate variability resulted in substantial interannual and decadal variations in P loading and export. Soil legacy P continues to contribute to P loading. Our findings highlight the necessity to adopt effective P management strategies to control P losses through reductions in soil erosion, and additionally, to improve P use efficiency in crop production.
Automated ‘oscillometric’ blood pressure measuring devices: how they work and what they measure
Authors: Sharman James E. , Tan Isabella , Stergiou George S. , Lombardi Carolina , Saladini Francesca , Butlin Mark , Padwal Raj , Asayama Kei , Avolio Alberto , Brady Tammy M. , Murray Alan , Parati Gianfranco 
Published: May 2022

AbstractAutomated ‘oscillometric’ blood pressure (BP) measuring devices (BPMDs) were developed in the 1970s to replace manual auscultatory BP measurement by mercury sphygmomanometer. Automated BPMDs that have passed accuracy testing versus a reference auscultatory sphygmomanometer using a scientifically accepted validation protocol are recommended for clinical use globally. Currently, there are many thousands of unique automated BPMDs manufactured by hundreds of companies, with each device using proprietary algorithms to estimate BP and using a method of operation that is largely unchanged since inception. Validated automated BPMDs provide similar BP values to those recorded using manual auscultation albeit with potential sources of error mostly associated with using empirical algorithms to derive BP from waveform pulsations. Much of the work to derive contemporary BP thresholds and treatment targets used to manage cardiovascular disease risk was obtained using automated BPMDs. While there is room for future refinement to improve accuracy for better individual risk stratification, validated BPMDs remain the recommended standard for office and out-of-office BP measurement to be used in hypertension diagnosis and management worldwide.
Highly efficient green InP-based quantum dot light-emitting diodes regulated by inner alloyed shell component
Authors: Yu Peng , Cao Sheng , Shan Yuliang , Bi Yuhe , Hu Yaqi , Zeng Ruosheng , Zou Bingsuo , Wang Yunjun , Zhao Jialong 
Published: May 2022

AbstractInP-based quantum dot light-emitting diodes (QLEDs), as less toxic than Cd-free and Pb-free optoelectronic devices, have become the most promising benign alternatives for the next generation lighting and display. However, the development of green-emitting InP-based QLEDs still remains a great challenge to the environmental preparation of InP quantum dots (QDs) and superior device performance. Herein, we reported the highly efficient green-emitting InP-based QLEDs regulated by the inner alloyed shell components. Based on the environmental phosphorus tris(dimethylamino)phosphine ((DMA)3P), we obtained highly efficient InP-based QDs with the narrowest full width at half maximum (~35 nm) and highest quantum yield (~97%) by inserting the gradient inner shell layer ZnSexS1−x without further post-treatment. More importantly, we concretely discussed the effect and physical mechanism of ZnSexS1–x layer on the performance of QDs and QLEDs through the characterization of structure, luminescence, femtosecond transient absorption, and ultraviolet photoelectron spectroscopy. We demonstrated that the insert inner alloyed shell ZnSexS1−x provided bifunctionality, which diminished the interface defects upon balancing the lattice mismatch and tailored the energy levels of InP-based QDs which could promote the balanced carrier injection. The resulting QLEDs applying the InP/ZnSe0.7S0.3/ZnS QDs as an emitter layer exhibited a maximum external quantum efficiency of 15.2% with the electroluminescence peak of 532 nm, which was almost the highest record of InP-based pure green-emitting QLEDs. These results demonstrated the applicability and processability of inner shell component engineering in the preparation of high-quality InP-based QLEDs.
HDAC4 promotes the growth and metastasis of gastric cancer via autophagic degradation of MEKK3
Authors: Zang Wei-Jie , Hu Yi-Lin , Qian Chen-Yu , Feng Ying , Liu Jia-Zhou , Yang Jun-Ling , Huang Hua , Zhu Yi-Zhun , Xue Wan-Jiang 
Published: May 2022

Abstract
Background
Histone deacetylases (HDACs) have been shown to be involved in tumorigenesis, but their precise role and molecular mechanisms in gastric cancer (GC) have not yet been fully elucidated.

Methods
Bioinformatics screening analysis, qRT-PCR, and immunohistochemistry (IHC) were used to identify the expression of HDAC4 in GC. In vitro and in vivo functional assays illustrated the biological function of HDAC4. RNA-seq, GSEA pathway analysis, and western blot revealed that HDAC4 activated p38 MAPK signalling. Immunofluorescence, western blot, and IHC verified the effect of HDAC4 on autophagy. ChIP and dual-luciferase reporter assays demonstrated that the transcriptional regulation mechanism of HDAC4 and ATG4B.

Results
HDAC4 is upregulated in GC and correlates with poor prognosis. In vitro and in vivo assays showed that HDAC4 contributes to the malignant phenotype of GC cells. HDAC4 inhibited the MEF2A-driven transcription of ATG4B and prevented MEKK3 from p62-dependent autophagic degradation, thus activating p38 MAPK signalling. Reciprocally, the downstream transcription factor USF1 enhanced HDAC4 expression by regulating HDAC4 promoter activity, forming a positive feedback loop and continuously stimulating HDAC4 expression and p38 MAPK signalling activation.

Conclusion
HDAC4 plays an oncogenic role in GC, and HDAC4-based targeted therapy would represent a novel strategy for GC treatment.
The Achilles’ heel of cancer: targeting tumors via lysosome-induced immunogenic cell death
Authors: Iulianna Taritsa , Kuldeep Neote , Eric Fossel 
Published: May 2022

AbstractInterest in the lysosome’s potential role in anticancer therapies has recently been appreciated in the field of immuno-oncology. Targeting lysosomes triggers apoptotic pathways, inhibits cytoprotective autophagy, and activates a unique form of apoptosis known as immunogenic cell death (ICD). This mechanism stimulates a local and systemic immune response against dead-cell antigens. Stressors that can lead to ICD include an abundance of ROS which induce lysosome membrane permeability (LMP). Dying cells express markers that activate immune cells. Dendritic cells engulf the dying cell and then present the cell’s neoantigens to T cells. The discovery of ICD-inducing agents is important due to their potential to trigger autoimmunity. In this review, we discuss the various mechanisms of activating lysosome-induced cell death in cancer cells specifically and the strategies that current laboratories are using to selectively promote LMP in tumors.
Imaging the facet surface strain state of supported multi-faceted Pt nanoparticles during reaction
Authors: Dupraz Maxime , Li Ni , Carnis Jérôme , Wu Longfei , Labat Stéphane , Chatelier Corentin , van de Poll Rim , Hofmann Jan P. , Almog Ehud , Leake Steven J. , Watier Yves , Lazarev Sergey , Westermeier Fabian , Sprung Michael , Hensen Emiel J. M. , Thomas Olivier , Rabkin Eugen , Richard Marie-Ingrid 
Published: May 2022

AbstractNanostructures with specific crystallographic planes display distinctive physico-chemical properties because of their unique atomic arrangements, resulting in widespread applications in catalysis, energy conversion or sensing. Understanding strain dynamics and their relationship with crystallographic facets have been largely unexplored. Here, we reveal in situ, in three-dimensions and at the nanoscale, the volume, surface and interface strain evolution of single supported platinum nanocrystals during reaction using coherent x-ray diffractive imaging. Interestingly, identical {hkl} facets show equivalent catalytic response during non-stoichiometric cycles. Periodic strain variations are rationalised in terms of O2 adsorption or desorption during O2 exposure or CO oxidation under reducing conditions, respectively. During stoichiometric CO oxidation, the strain evolution is, however, no longer facet dependent. Large strain variations are observed in localised areas, in particular in the vicinity of the substrate/particle interface, suggesting a significant influence of the substrate on the reactivity. These findings will improve the understanding of dynamic properties in catalysis and related fields.
Long-term hepatitis B virus infection of rhesus macaques requires suppression of host immunity
Authors: Biswas Sreya , Rust Lauren N. , Wettengel Jochen M. , Yusova Sofiya , Fischer Miranda , Carson Julien N. , Johnson Josie , Wei Lei , Thode Trason , Kaadige Mohan R. , Sharma Sunil , Agbaria Majd , Bimber Benjamin N. , Tu Thomas , Protzer Ulrike , Ploss Alexander , Smedley Jeremy V. , Golomb Gershon , Sacha Jonah B. , Burwitz Benjamin J. 
Published: May 2022

AbstractHepatitis B virus has infected a third of the world’s population, and 296 million people are living with chronic infection. Chronic infection leads to progressive liver disease, including hepatocellular carcinoma and liver failure, and there remains no reliable curative therapy. These gaps in our understanding are due, in large part, to a paucity of animal models of HBV infection. Here, we show that rhesus macaques regularly clear acute HBV infection, similar to adult humans, but can develop long-term infection if immunosuppressed. Similar to patients, we longitudinally detected HBV DNA, HBV surface antigen, and HBV e antigen in the serum of experimentally infected animals. In addition, we discovered hallmarks of HBV infection in the liver, including RNA transcription, HBV core and HBV surface antigen translation, and covalently closed circular DNA biogenesis. This pre-clinical animal model will serve to accelerate emerging HBV curative therapies into the clinic.
Heart-brain synchronization breakdown in Parkinson’s disease
Authors: Iniguez Martin , Jimenez-Marin Antonio , Erramuzpe Asier , Acera Marian , Tijero Beatriz , Murueta-Goyena Ane , Del Pino Rocio , Fernandez Tamara , Carmona‑Abellan Mar , Cabrera-Zubizarreta Alberto , Gómez‑Esteban Juan Carlos , Cortes Jesus M. , Gabilondo Inigo 
Published: May 2022

AbstractHeart rate variability (HRV) abnormalities are potential early biomarkers in Parkinson’s disease (PD) but their relationship with central autonomic network (CAN) activity is not fully understood. We analyzed the synchronization between HRV and brain activity in 31 PD patients and 21 age-matched healthy controls using blood-oxygen-level-dependent (BOLD) signals from resting-state functional brain MRI and HRV metrics from finger plethysmography recorded for 7.40 min. We additionally quantified autonomic symptoms (SCOPA-AUT) and objective autonomic cardiovascular parameters (blood pressure and heart rate) during deep breathing, Valsalva, and head-up tilt, which were used to classify the clinical severity of dysautonomia. We evaluated HRV and BOLD signals synchronization (HRV-BOLD-sync) with Pearson lagged cross-correlations and Fisher’s statistics for combining window-length-dependent HRV-BOLD-Sync Maps and assessed their association with clinical dysautonomia. HRV-BOLD-sync was lower significantly in PD than in controls in various brain regions within CAN or in networks involved in autonomic modulation. Moreover, heart-brain synchronization index (HBSI), which quantifies heart-brain synchronization at a single-subject level, showed an inverse exposure–response relationship with dysautonomia severity, finding the lowest HBSI in patients with severe dysautonomia, followed by moderate, mild, and, lastly, controls. Importantly, HBSI was associated in PD, but not in controls, with Valsalva pressure recovery time (sympathetic), deep breathing E/I ratio (cardiovagal), and SCOPA-AUT. Our findings support the existence of heart-brain de-synchronization in PD with an impact on clinically relevant autonomic outcomes.
Leading countries in global science increasingly receive more citations than other countries doing similar research
Authors: Gomez Charles J. , Herman Andrew C. , Parigi Paolo 
Published: May 2022

AbstractCitations and text analysis are both used to study the distribution and flow of ideas between researchers, fields and countries, but the resulting flows are rarely equal. We argue that the differences in these two flows capture a growing global inequality in the production of scientific knowledge. We offer a framework called ‘citational lensing’ to identify where citations should appear between countries but are absent given that what is embedded in their published abstract texts is highly similar. This framework also identifies where citations are overabundant given lower similarity. Our data come from nearly 20 million papers across nearly 35 years and 150 fields from the Microsoft Academic Graph. We find that scientific communities increasingly centre research from highly active countries while overlooking work from peripheral countries. This inequality is likely to pose substantial challenges to the growth of novel ideas.
Platform for isolation and characterization of SARS-CoV-2 variants enables rapid characterization of Omicron in Australia
Authors: Aggarwal Anupriya , Stella Alberto Ospina , Walker Gregory , Akerman Anouschka , Esneau Camille , Milogiannakis Vanessa , Burnett Deborah L. , McAllery Samantha , Silva Mariana Ruiz , Lu Yonghui , Foster Charles S. P. , Brilot Fabienne , Pillay Aleha , Van Hal Sabastiaan , Mathivanan Vennila , Fichter Christina , Kindinger Andrea , Hoppe Alexandra Carey , Munier Mee Ling , Amatayakul-Chantler Supavadee , Roth Nathan , Coppola Germano , Symonds Geoff P. , Schofield Peter , Jackson Jennifer , Lenthall Helen , Henry Jake Y. , Mazigi Ohan , Jäck Hans-Martin , Davenport Miles P. , Darley David R. , Matthews Gail V. , Khoury David S. , Cromer Deborah , Goodnow Christopher C. , Christ Daniel , Robosa Roselle , Starck Damien J. , Bartlett Nathan W. , Rawlinson William D. , Kelleher Anthony D. , Turville Stuart G. 
Published: May 2022

AbstractGenetically distinct variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have emerged since the start of the COVID-19 pandemic. Over this period, we developed a rapid platform (R-20) for viral isolation and characterization using primary remnant diagnostic swabs. This, combined with quarantine testing and genomics surveillance, enabled the rapid isolation and characterization of all major SARS-CoV-2 variants circulating in Australia in 2021. Our platform facilitated viral variant isolation, rapid resolution of variant fitness using nasopharyngeal swabs and ranking of evasion of neutralizing antibodies. In late 2021, variant of concern Omicron (B1.1.529) emerged. Using our platform, we detected and characterized SARS-CoV-2 VOC Omicron. We show that Omicron effectively evades neutralization antibodies and has a different entry route that is TMPRSS2-independent. Our low-cost platform is available to all and can detect all variants of SARS-CoV-2 studied so far, with the main limitation being that our platform still requires appropriate biocontainment.
MSNovelist: de novo structure generation from mass spectra
Authors: Stravs Michael A. , Dührkop Kai , Böcker Sebastian , Zamboni Nicola 
Published: May 2022

AbstractCurrent methods for structure elucidation of small molecules rely on finding similarity with spectra of known compounds, but do not predict structures de novo for unknown compound classes. We present MSNovelist, which combines fingerprint prediction with an encoder–decoder neural network to generate structures de novo solely from tandem mass spectrometry (MS2) spectra. In an evaluation with 3,863 MS2 spectra from the Global Natural Product Social Molecular Networking site, MSNovelist predicted 25% of structures correctly on first rank, retrieved 45% of structures overall and reproduced 61% of correct database annotations, without having ever seen the structure in the training phase. Similarly, for the CASMI 2016 challenge, MSNovelist correctly predicted 26% and retrieved 57% of structures, recovering 64% of correct database annotations. Finally, we illustrate the application of MSNovelist in a bryophyte MS2 dataset, in which de novo structure prediction substantially outscored the best database candidate for seven spectra. MSNovelist is ideally suited to complement library-based annotation in the case of poorly represented analyte classes and novel compounds.
USACE Coastal and Hydraulics Laboratory Quality Controlled, Consistent Measurement Archive
Authors: Hall Candice , Jensen Robert E. 
Published: May 2022

AbstractThe US Army Corps of Engineers (USACE) utilizes the National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) buoy measurements for validation of their wave models and within coastal applications. However, NDBC data are accessible via multiple archives; each with their own source-specific storage, metadata, and quality control protocols, which result in inconsistencies in the accessible data. Therefore, USACE has developed an independent, quality controlled, consistent (QCC) Measurement Archive that captures the best available NDBC observations with verified metadata. This work details the methodology behind this USACE QCC Measurement Archive; showcasing improvements in data quality via geographical location and wave parameter examples. Note that this methodology only removes known erroneous data, it does not verify data quality from an alternate source. This self-describing, USACE QCC Measurement Archive therefore provides a database of consistently stored, geographically QA/QC’d NDBC data and metadata.
A comprehensive database of crystal-bearing magmas for the calibration of a rheological model
Authors: Frontoni Alessandro , Costa Antonio , Vona Alessandro , Romano Claudia 
Published: May 2022

AbstractIn this work, we present a comprehensive rheological database including most of the existing data relevant for crystal-bearing magmas collected from the scientific literature, covering the entire range of natural volcanic conditions, in terms of crystal content (1–80%), crystal shape (aspect ratio R from 1 to 13), and strain rate (between 10−7 and 102 s−1). Datasets were collected and discerned as a function of the information which we considered necessary for building a general systematic model describing relative viscosity of crystal-bearing magmas, such as the apparent and melt viscosity, the crystal concentration, crystal shape, and the strain rate. The selected dataset was then used for modelling the relative viscosity of a liquid-solid mixture having different concentrations of particles with different R, subjected to different strain rates. The proposed model allows us to quantitatively describe the rheological behaviour of crystal-bearing magmatic systems.
Endosymbiotic Chlorella variabilis reduces mitochondrial number in the ciliate Paramecium bursaria
Authors: Kodama Yuuki , Fujishima Masahiro 
Published: May 2022

AbstractExtant symbioses illustrate endosymbiosis is a driving force for evolution and diversification. In the ciliate Paramecium bursaria, the endosymbiotic alga Chlorella variabilis in perialgal vacuole localizes beneath the host cell cortex by adhesion between the perialgal vacuole membrane and host mitochondria. We investigated whether host mitochondria are also affected by algal endosymbiosis. Transmission electron microscopy of host cells showed fewer mitochondria beneath the algae-bearing host cell cortex than that of alga-free cells. To compare the density and distribution of host mitochondria with or without symbiotic algae, we developed a monoclonal antibody against Paramecium mitochondria. Immunofluorescence microscopy with the monoclonal antibody showed that the mitochondrial density of the algae-bearing P. bursaria was significantly lower than that of the alga-free cells. The total cell protein concentration of alga-free P. bursaria cells was approximately 1.8-fold higher than that of algae-bearing cells, and the protein content of mitochondria was significantly higher in alga-free cells than that in the algae-bearing cells. These results corresponded with those obtained by transmission electron and immunofluorescence microscopies. This paper shows that endosymbiotic algae affect reduced mitochondrial number in the host P. bursaria significantly.
Song complexity is maintained during inter-population cultural transmission of humpback whale songs
Authors: Allen Jenny A , Garland Ellen C. , Garrigue Claire , Dunlop Rebecca A. , Noad Michael J. 
Published: May 2022

AbstractAmong animal species, the songs of male humpback whales (Megaptera novaeangliae) are a rare example of social learning between entire populations. Understanding fine-scale similarity in song patterns and structural features will better clarify how accurately songs are learned during inter-population transmission. Here, six distinct song types (2009–2015) transmitted from the east Australian to New Caledonian populations were quantitatively analysed using fine-scale song features. Results found that New Caledonian whales learned each song type with high accuracy regardless of the pattern’s complexity. However, there were rare instances of themes (stereotyped patterns of sound units) only sung by a single population. These occurred more often in progressively changing ‘evolutionary’ songs compared to rapidly changing ‘revolutionary’ songs. Our results suggest that populations do not need to reduce complexity to accurately learn song patterns. Populations may also incorporate changes and embellishments into songs in the form of themes which are suggested to be learnt as distinct segments. Maintaining complex song patterns with such accuracy suggests significant acoustic contact, supporting the hypothesis that song learning may occur on shared feeding grounds or migration routes. This study improves the understanding of inter-population mechanisms for large-scale cultural transmission in animals.