bluuebunny/crossref_metadata_2025_split huggingface dataset:
An evaluation of the National Institutes of Health grants portfolio: identifying opportunities and challenges for multi-omics research that leverage metabolomics data
Authors: Yu Catherine T. , Chao Brittany N. , Barajas Rolando , Haznadar Majda , Maruvada Padma , Nicastro Holly L. , Ross Sharon A. , Verma Mukesh , Rogers Scott , Zanetti Krista A. 
Published: April 2022

Abstract
Background
Through the systematic large-scale profiling of metabolites, metabolomics provides a tool for biomarker discovery and improving disease monitoring, diagnosis, prognosis, and treatment response, as well as for delineating disease mechanisms and etiology. As a downstream product of the genome and epigenome, transcriptome, and proteome activity, the metabolome can be considered as being the most proximal correlate to the phenotype. Integration of metabolomics data with other -omics data in multi-omics analyses has the potential to advance understanding of human disease development and treatment.

Aim of review
To understand the current funding and potential research opportunities for when metabolomics is used in human multi-omics studies, we cross-sectionally evaluated National Institutes of Health (NIH)-funded grants to examine the use of metabolomics data when collected with at least one other -omics data type. First, we aimed to determine what types of multi-omics studies included metabolomics data collection. Then, we looked at those multi-omics studies to examine how often grants employed an integrative analysis approach using metabolomics data.

Key scientific concepts of review
We observed that the majority of NIH-funded multi-omics studies that include metabolomics data performed integration, but to a limited extent, with integration primarily incorporating only one other -omics data type. Some opportunities to improve data integration may include increasing confidence in metabolite identification, as well as addressing variability between -omics approach requirements and -omics data incompatibility.
Deep learning-based plane pose regression in obstetric ultrasound
Authors: Di Vece Chiara , Dromey Brian , Vasconcelos Francisco , David Anna L. , Peebles Donald , Stoyanov Danail 
Published: April 2022

Abstract
Purpose
In obstetric ultrasound (US) scanning, the learner’s ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a major challenge in skill acquisition. We aim to build a US plane localisation system for 3D visualisation, training, and guidance without integrating additional sensors.

Methods
We propose a regression convolutional neural network (CNN) using image features to estimate the six-dimensional pose of arbitrarily oriented US planes relative to the fetal brain centre. The network was trained on synthetic images acquired from phantom 3D US volumes and fine-tuned on real scans. Training data was generated by slicing US volumes into imaging planes in Unity at random coordinates and more densely around the standard transventricular (TV) plane.

Results
With phantom data, the median errors are 0.90 mm/1.17$$^\circ $$

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and 0.44 mm/1.21$$^\circ $$

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for random planes and planes close to the TV one, respectively. With real data, using a different fetus with the same gestational age (GA), these errors are 11.84 mm/25.17$$^\circ $$

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. The average inference time is 2.97 ms per plane.

Conclusion
The proposed network reliably localises US planes within the fetal brain in phantom data and successfully generalises pose regression for an unseen fetal brain from a similar GA as in training. Future development will expand the prediction to volumes of the whole fetus and assess its potential for vision-based, freehand US-assisted navigation when acquiring standard fetal planes.
Generation of Human iPSC-Derived Astrocytes with a mature star-shaped phenotype for CNS modeling
Authors: Voulgaris Dimitrios , Nikolakopoulou Polyxeni , Herland Anna 
Published: April 2022

AbstractThe generation of astrocytes from human induced pluripotent stem cells has been hampered by either prolonged differentiation—spanning over two months—or by shorter protocols that generate immature astrocytes, devoid of salient mature astrocytic traits pivotal for central nervous system (CNS) modeling. We directed stable hiPSC-derived neuroepithelial stem cells to human iPSC-derived Astrocytes (hiAstrocytes) with a high percentage of star-shaped cells by orchestrating an astrocytic-tuned culturing environment in 28 days. We employed RT-qPCR and ICC to validate the astrocytic commitment of the neuroepithelial stem cells. To evaluate the inflammatory phenotype, we challenged the hiAstrocytes with the pro-inflammatory cytokine IL-1β (interleukin 1 beta) and quantitatively assessed the secretion profile of astrocyte-associated cytokines and the expression of intercellular adhesion molecule 1 (ICAM-1). Finally, we quantitatively assessed the capacity of hiAstrocytes to synthesize and export the antioxidant glutathione. In under 28 days, the generated cells express canonical and mature astrocytic markers, denoted by the expression of GFAP, AQP4 and ALDH1L1. In addition, the notion of a mature phenotype is reinforced by the expression of both astrocytic glutamate transporters EAAT1 and EAAT2. Thus, hiAstrocytes have a mature phenotype that encompasses traits critical in CNS modeling, including glutathione synthesis and secretion, upregulation of ICAM-1 and a cytokine secretion profile on a par with human fetal astrocytes. This protocol generates a multifaceted astrocytic model suitable for in vitro CNS disease modeling and personalized medicine.Graphical abstract
From Storytelling to Facebook
Authors: Acerbi Alberto 
Published: April 2022

AbstractCultural evolution researchers use transmission chain experiments to investigate which content is more likely to survive when transmitted from one individual to another. These experiments resemble oral storytelling, wherein individuals need to understand, memorize, and reproduce the content. However, prominent contemporary forms of cultural transmission—think an online sharing—only involve the willingness to transmit the content. Here I present two fully preregistered online experiments that explicitly investigated the differences between these two modalities of transmission. The first experiment (N = 1,080 participants) examined whether negative content, information eliciting disgust, and threat-related information were better transmitted than their neutral counterpart in a traditional transmission chain setup. The second experiment (N = 1,200 participants) used the same material, but participants were asked whether or not they would share the content in two conditions: in a large anonymous social network or with their friends, in their favorite social network. Negative content was both better transmitted in transmission chain experiments and shared more than its neutral counterpart. Threat-related information was successful in transmission chain experiments but not when sharing, and finally, information eliciting disgust was not advantaged in either. Overall, the results present a composite picture, suggesting that the interactions between the specific content and the medium of transmission are important and, possibly, that content biases are stronger when memorization and reproduction are involved in the transmission—as in oral transmission—than when they are not—as in online sharing. Negative content seems to be reliably favored in both modalities of transmission.
‘Measuring’ Collective Trauma: a Quantum Social Science Approach
Authors: Matoba Kazuma 
Published: April 2022

AbstractIn the twenty-first century the world faces the stark reality that’s far from any visions of an ideal world, accompanied by an epidemic of social inequality and global injustice. Many social and global issues such as the refugee crisis, climate injustice, racism, whitism, and terrorism are rooted in serious, untreated historical traumata. These traumata have been experienced by one or more members of a family, group, or community, and may have been passed down from one generation to the next through epigenetic factors. Phenomena of collective trauma can be described more understandably through its interpretation by the quantum social science of Wendt (2016). This interpretation provides a social pathology that offers methodological recommendations (methods of treatment) for social therapy. One potential example is the collective trauma integration process (CTIP) developed by Thomas Hübl (Hübl, T. (2020). Healing Collective Trauma: a process for integrating our intergenerational and cultural wounds. Boulder: Sounds True.), which is a method to restore fragmentation by addressing and integrating individual, ancestral and collective trauma. This paper focuses on one methodological consideration for building a new culture through the integration of collective and intergenerational trauma, which is a framework based on collective trauma research in psychology, sociology, and quantum social science.
Characterization of ultrafine particles from hardfacing coated brake rotors
Authors: Lyu Yezhe , Sinha Ankur , Olofsson Ulf , Gialanella Stefano , Wahlström Jens 
Published: April 2022

AbstractAutomotive brake rotors are commonly made from gray cast iron (GCI). During usage, brake rotors are gradually worn off and periodically replaced. Currently, replaced brake rotors are mostly remelted to produce brand-new cast iron products, resulting in a relatively high energy consumption and carbon footprint into the environment. In addition, automotive brakes emit airborne particles. Some of the emitted particles are categorized as ultrafine, which are sized below 100 nm, leading to a series of health and environmental impacts. In this study, two surface treatment techniques are applied, i.e., high-velocity oxygen fuel (HVOF) and laser cladding (LC), to overlay wear-resistant coatings on conventional GCI brake rotors in order to refurbish the replaced GCI brake rotor and to avoid the remelting procedure. The two coating materials are evaluated in terms of their coefficient of friction (CoF), wear, and ultrafine particle emissions, by comparing them with a typical GCI brake rotor. The results show that the CoF of the HVOF disc is higher than those of the GCI and LC discs. Meanwhile, HVOF disc has the lowest wear rate but results in the highest wear rate on the mating brake pad material. The LC disc yields a similar wear rate as the GCI disc. The ultrafine particles from the GCI and LC discs appeared primarily in round, chunky, and flake shapes. The HVOF disc emits unique needle-shaped particles. In the ultrafine particle range, the GCI and HVOF discs generate particles that are primarily below 100 nm in the running-in period and 200 nm in the steady state. Meanwhile, the LC disc emitted particles that are primarily ∼200 nm in the entire test run.
Delivering quantum dots to lubricants: Current status and prospect
Authors: Zhang Wenling , Li Tianhao , An Rong , Wang Jiong , Tian Yu 
Published: April 2022

AbstractVery recently, two-dimensional quantum dots (2D QDs) have been pioneeringly investigated as lubricant additives, which exhibit superior friction-reducing and wear resistance. Compared with 2D nanoparticles, 2D QDs possess small size (∼10 nm) and abundant active groups. These distinguished advantages enable them to quickly disperse into common lube mediums and maintain long-term storage stability. The good dispersion stability of 2D QDs not only effectively improves their embedding capacity, but also enables continuous supplements of lubricants during the sliding process. Therefore, 2D QDs are attracting increasing research interest as efficient lubricants with desirable service life. In this review, we focus on the latest studies of 2D QDs as liquid lubricant additives (both in polar and nonpolar mediums), self-lubricating solid coatings and gels, etc. Various advanced strategies for synthesis and modification of 2D QDs are summarized. A comprehensive insight into the tribological behavior of a variety of 2D QDs together with the associated mechanism is reviewed in detail. The superior lubricating performances of 2D QDs are attributed to various mechanisms, including rolling effect, self-mending performance, polishing effect, tribofilm formation, nanostructure transfer and synergistic effects, etc. Strategies for friction modulation of 2D QDs, including internal factors (surface modification, elemental doping) and extrinsic factors (counter surfaces, test conditions) are discussed, special attentions for achieving intelligent tribology toward superlubricity and bio-engineering, are also included. Finally, the future challenges and research directions regarding QDs as lubricants conforming to the concept of “green tribology” toward a sustainable society are discussed.
Avoiding structural redundancies between the vehicle body and the battery housing based on a functional integration approach
Authors: Krüger Christopher , Spohr Sebastian , Merdivan David , Urban Peter 
Published: April 2022

AbstractIn this paper, the approach for a functionally integrated battery housing is presented, to avoid structural redundancies towards the vehicle body. The goal is to reduce the overall structural weight while simultaneously increasing the package space for battery modules. The typically existing boundary conditions for the battery system are taken into account. Especially, the detachability of the battery as a closed unit is in focus, to ensure the leak tightness of this system and to enable replacement. Based on the available space in a research vehicle, such a functionally integrated concept is developed. In particular, the vehicle floor and the vehicle rocker are identified as suitable components for integration. The verification of the concept with regard to the crash performance is carried out on component and on full vehicle level. On both levels, the side pole impact is used as load case and the deformation behavior is investigated.
T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure
Authors: Liu Jie , Xu Yubo 
Published: April 2022

AbstractTo prove that a certain algorithm is superior to the benchmark algorithms, the statistical hypothesis tests are commonly adopted with experimental results on a number of datasets. Some statistical hypothesis tests draw statistical test results more conservative than the others, while it is not yet possible to characterize quantitatively the degree of conservativeness of such a statistical test. On the basis of the existing nonparametric statistical tests, this paper proposes a new statistical test for multiple comparison which is named as t-Friedman test. T-Friedman test combines t test with Friedman test for multiple comparison. The confidence level of the t test is adopted as a measure of conservativeness of the proposed t-Friedman test. A bigger confidence level infers a higher degree of conservativeness, and vice versa. Based on the synthetic results generated by Monte Carlo simulations with predefined distributions, the performance of several state-of-the-art multiple comparison tests and post hoc procedures are first qualitatively analyzed. The influences of the type of predefined distribution, the number of benchmark algorithms and the number of datasets are explored in the experiments. The conservativeness measure of the proposed method is also validated and verified in the experiments. Finally, some suggestions for the application of these nonparametric statistical tests are provided.
Transforming the Church Interior in Renaissance Florence
Authors: Allen Joanne 
Published: April 2022

Before the late sixteenth century, the churches of Florence were internally divided by monumental screens that separated the laity in the nave from the clergy in the choir precinct. Enabling both separation and mediation, these screens were impressive artistic structures that controlled social interactions, facilitated liturgical performances, and variably framed or obscured religious ritual and imagery. In the 1560s and 70s, screens were routinely destroyed in a period of religious reforms, irreversibly transforming the function, meaning, and spatial dynamics of the church interior. In this volume, Joanne Allen explores the widespread presence of screens and their role in Florentine social and religious life prior to the Counter-Reformation. She presents unpublished documentation and new reconstructions of screens and the choir precincts which they delimited. Elucidating issues such as gender, patronage, and class, her study makes these vanished structures comprehensible and deepens our understanding of the impact of religious reform on church architecture.
Space Weathering Effects in Troilite by Simulated Solar‐Wind Hydrogen and Helium Ion Irradiation
Authors: Christoph J. M. , Minesinger G. M. , Bu C. , Dukes C. A. , Elkins‐Tanton L. T. 
Published: April 2022

AbstractSpace weathering is a key process in the interpretation of airless planetary surfaces. As we engage new missions to planetary objects with potentially novel surfaces such as 16 Psyche, there is renewed interest in expanding our knowledge of space weathering effects to a wider variety of analog materials, including the physical/chemical effects of solar‐wind ions on planetary regoliths. We have experimentally simulated the effects of solar ions on two polished thick sections of meteoritic troilite (FeS) via irradiation with 1 keV hydrogen (H+) and 4 keV helium (He+), to investigate effects resulting from different ion species. We detected depletion of sulfur over the course of each irradiation using in situ X‐ray photoelectron spectroscopy. Sulfur depletion rates were surprisingly similar for H+ and He+, interpreted as a function of subsurface ion‐activated diffusion. By comparing XPS‐derived elemental abundances with SDTrimSP computer simulations, we further quantified sulfur diffusion, sputtering yield, and altered‐layer composition with respect to incident‐ion fluence, and accounted for the influence of surface oxidation due to atmospheric sample storage. Using scanning electron microscopy, we detected an increase in nanoscale surface roughness resulting from the irradiation, which we quantified using atomic force microscopy. Based on these results, we estimate that an exposure time of order 103 Earth‐years is required for troilite on Psyche to reach equilibrium sulfur depletion within the first atomic layer.
Siberian High Modulated Suborbital‐Scale Dust Accumulation Changes Over the Past 30 ka in the Eastern Yili Basin, Central Asia
Authors: Kang Shugang , Wang Xulong , Wang Ning , Song Yougui , Liu Weiguo , Wang Duo , Peng Jun 
Published: April 2022

AbstractLoess contributes considerably to understanding the interactions between dust cycles and climate change. However, systematic and regional‐scale reconstructions of variations in the dust mass accumulation rate (MAR) using Central Asian loess are lacking. Based on the high‐resolution luminescence dating of 10 loess sections, we present a stacked suborbital‐scale (multi‐millennial‐scale herein) dust MAR record over the past 30 ka in the eastern Yili Basin, Central Asia, which shows obvious advantages at representing basin‐scale dust accumulation changes when compared with that based on individual sites. The stacked results in the eastern Yili Basin indicate that the MAR level remained high during the Last Glacial Maximum, followed by a dramatically decreasing trend throughout the last deglaciation, and exhibited a slight decrease during the early Holocene and early middle Holocene, followed by a clear increasing trend toward the late Holocene. We propose that changes in the Siberian High intensity dominantly modulated the aforementioned MAR variations. These results effectively link dust accumulation to the Siberian High, imply a possibly weakened dust activity in the Yili Basin at a long‐term scale under future global warming scenarios, and also provide a significant reference for dust accumulation reconstruction in other basins in Central Asia.
Increased expression of RUNX3 inhibits normal human myeloid development
Authors: Menezes Ana Catarina , Jones Rachel , Shrestha Alina , Nicholson Rachael , Leckenby Adam , Azevedo Aleksandra , Davies Sara , Baker Sarah , Gilkes Amanda F. , Darley Richard L. , Tonks Alex 
Published: April 2022

AbstractRUNX3 is a transcription factor dysregulated in acute myeloid leukemia (AML). However, its role in normal myeloid development and leukemia is poorly understood. Here we investigate RUNX3 expression in both settings and the impact of its dysregulation on myelopoiesis. We found that RUNX3 mRNA expression was stable during hematopoiesis but decreased with granulocytic differentiation. In AML, RUNX3 mRNA was overexpressed in many disease subtypes, but downregulated in AML with core binding factor abnormalities, such as RUNX1::ETO. Overexpression of RUNX3 in human hematopoietic stem and progenitor cells (HSPC) inhibited myeloid differentiation, particularly of the granulocytic lineage. Proliferation and myeloid colony formation were also inhibited. Conversely, RUNX3 knockdown did not impact the myeloid growth and development of human HSPC. Overexpression of RUNX3 in the context of RUNX1::ETO did not rescue the RUNX1::ETO-mediated block in differentiation. RNA-sequencing showed that RUNX3 overexpression downregulates key developmental genes, such as KIT and RUNX1, while upregulating lymphoid genes, such as KLRB1 and TBX21. Overall, these data show that increased RUNX3 expression observed in AML could contribute to the developmental arrest characteristic of this disease, possibly by driving a competing transcriptional program favoring a lymphoid fate.
Deubiquitylase OTUD3 prevents Parkinson’s disease through stabilizing iron regulatory protein 2
Authors: Jia Fengju , Li Hongchang , Jiao Qian , Li Chaonan , Fu Lin , Cui Chunping , Jiang Hong , Zhang Lingqiang 
Published: April 2022

AbstractIron deposits are neuropathological hallmark of Parkinson’s disease (PD). Iron regulatory protein 2 (IRP2) is a key factor in regulating brain iron homeostasis. Although two ubiquitin ligases that promote IRP2 degradation have been identified, the deubiquitylase for stabilization of IRP2 in PD remains undefined. Here, we report OTUD3 (OTU domain-containing protein 3) functions as a deubiquitylase for IRP2, interacts with IRP2 in the cytoplasm, de-polyubiquitylates, and stabilizes IRP2 protein in an iron-independent manner. Depletion of OTUD3 results in a disorder of iron metabolism. OTUD3 knockout mice display nigral iron accumulation, motor deficits, and nigrostriatal dopaminergic neurodegeneration, which resembles the pathology of PD. Consistently, decreased levels of OTUD3 are detected in transgenic PD mice expressing A53T mutant of human α-synuclein. Five single nucleotide polymorphism mutations of OTUD3 are present in cases of sporadic PD or controls, although no significant associations of OTUD3 SNPs with sporadic PD are detected. Taken together, these findings demonstrate that OTUD3 is a bona fide deubiquitylase for IRP2 and plays a critical role in the nigral iron deposits in PD.