bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recognition and Differentiation of Dural Puncture Click Sensation: A Subjective and Objective Prospective Study of Dural Puncture Forces Using Fine-Gauge Spinal Needles
Authors: Utsumi Isao , Hascilowicz Tomasz , Omi Sachiko 
Published: February 2021

AbstractBackgroundWe hypothesized that the click perceived when puncturing the dura-arachnoid with fine-gauge spinal needles can be subjectively identified, and investigated whether it may be distinguishable among different needle types.MethodsSubjective and objective evaluations were performed. First, physicians punctured the polyamide film or porcine dura mater (n=70 and n=20, respectively) with seven types of spinal needles and numerically evaluated the perceived click sensations. Using an 11-point numerical rating scale (from “0” for “no click sensation” to “10” for “the strongest click perceived”) data, subjective differentiation among needle types was assessed. Second, in the objective part of the study, total forces elicited by polyamide film or porcine dura mater punctures with each needle were measured using a biomechanical testing device, and load-displacement curves evaluated. Third, the results of subjective and objective evaluations were compared.ResultsAll participants recognized the click and could discriminate among needles of different tip shape. The load-displacement curves for polyamide film and porcine dura mater were similar and needle-specific. The subjective numerical rating scale values corresponded well with the objectively measured changes in total forces (R2= 0.862 andR2= 0.881 for polyamide film and porcine dura mater, respectively), indicating that an increase in the largest drop in total force value of 0.30 N or 0.21 N would produce an increase of numerical rating scale value of 1 for polyamide film and porcine dura mater, respectively.ConclusionsWe provide an objective proof of the click sensation felt upon dural puncture using different fine-gauge spinal needles. Click recognition could be used as an additional indicator of successful spinal puncture.
Automatic Detection of Larval Zebrafish ECG: Computational Tool for High-throughput Cardiac Activity Analysis
Authors: Barrett Richard , Hurst Rhiannon , Tarte Edward , Müller Ferenc , Sik Attila 
Published: February 2021

AbstractAutomatic analysis of larval zebrafish electrocardiographs (ECG) is essential for high-throughput measurements in environmental toxicity assays, cardiotoxicity measurements and drug screening. We have developed a MATLAB based software is built on methods that have previously been used to analyze human ECG, such as the Pan-Tompkins algorithm and Wavelet. For the first time these sophisticated tools have been applied to larval zebrafish ECG to automatically characterize the heart-beat waveforms. The ability of the automated algorithm to detect the QT interval for both normal and pharmacologically altered larval ECG is found and compared to previously used software that is built into LabChart®(AD Instruments). Using wavelet transforms it is shown that the typical larval ECG features are within the frequency range of 1 to 31 Hz. It is also shown that the automated software is capable of detecting QTc (heartrate corrected heartbeat interval) changes within pharmacologically altered zebrafish larval ECG. The automated process is a significant improvement on the approaches that were previously applied to the zebrafish ECG. The automated process described here that is based on established techniques of analyzing ECG can sensitively measure pharmacologically induced changes in the ECG. The novel, automated software is faster, more sensitive at detecting ECG changes and less dependent on user involvement, thus minimizing user error and human bias. The automated process can also be applied to human ECG.
Protistan grazing impacts microbial communities and carbon cycling at deep-sea hydrothermal vents
Authors: Hu Sarah K. , Herrera Erica L. , Smith Amy R. , Pachiadaki Maria G. , Edgcomb Virginia P. , Sylva Sean P. , Chan Eric W. , Seewald Jeffrey S. , German Christopher R. , Huber Julie A. 
Published: February 2021

AbstractMicrobial eukaryotes (or protists) in marine ecosystems are a link between microbial primary producers and all higher trophic levels. The rate at which heterotrophic protistan grazers consume microbial prey and recycle organic matter is an important factor that influences marine microbial food webs and carbon cycling. At deep-sea hydrothermal vents, chemosynthetic bacteria and archaea form the base of a food web that functions in the absence of sunlight, but the role of protistan grazers in these highly productive ecosystems is largely unexplored. Here, we pair grazing experiments with a molecular survey to quantify protistan grazing and to characterize the composition of vent-associated protists in low-temperature venting fluids from Gorda Ridge in the North East (NE) Pacific Ocean. Results reveal protists exert higher predation pressure at vents compared to the surrounding deep seawater environment and may account for consuming 28-62% of the daily stock of prokaryotic biomass within the hydrothermal vent food web. The vent-associated protistan community was more species rich relative to the background deep sea, and patterns in the distribution and co-occurrence of vent microbes provide additional insights into potential predator-prey interactions. Ciliates, followed by dinoflagellates, Syndiniales, rhizaria, and stramenopiles dominated the vent protist community and included bacterivorous species, species known to host symbionts, and parasites. Our findings provide an estimate of protistan grazing pressure within hydrothermal vent food webs, highlighting the role that diverse deep-sea protistan communities have in carbon cycling.SignificanceHeterotrophic protists are ubiquitous in all aquatic ecosystems and represent an important ecological link because they transfer organic carbon from primary producers to higher trophic levels. Here, we quantify the predator-prey trophic interaction among protistan grazers and microbial prey at multiple sites of hydrothermal venting near the Gorda Ridge spreading center in the NE Pacific Ocean. Grazing pressure was higher at the site of active diffuse flow and was carried out by a highly diverse assemblage of protistan species; elevated grazing rates are attributed to higher concentrations of chemosynthetic microorganisms and biological diversity localized to hydrothermal vent environments.
Semi-continuous propagation of influenza A virus and its defective interfering particles: analyzing the dynamic competition to select candidates for antiviral therapy
Authors: Pelz Lars , Rüdiger Daniel , Dogra Tanya , Alnaji Fadi G. , Genzel Yvonne , Brooke Christopher B. , Kupke Sascha Y. , Reichl Udo 
Published: February 2021

AbstractDefective interfering particles (DIPs) of influenza A virus (IAV) are naturally occurring mutants that comprise an internal deletion in one of their eight viral RNA (vRNA) segments, rendering them propagation-incompetent. Upon co-infection with infectious standard virus (STV), DIPs interfere with STV replication through competitive inhibition. Thus, DIPs are proposed as potent antivirals for treatment of the influenza disease. To select corresponding candidates, we studiedde novogeneration of DIPs and propagation competition between different defective interfering (DI) vRNAs in a STV co-infection scenario in cell culture. A small-scale two-stage cultivation system that allows long-term semi-continuous propagation of IAV and its DIPs was used. Strong periodic oscillations in virus titers were observed due to the dynamic interaction of DIPs and STVs. Using next-generation sequencing, we detected a predominant formation and accumulation of DI vRNAs on the polymerase-encoding segments. Short DI vRNAs accumulated to higher fractions than longer ones, indicating a replication advantage. Yet, a sweet spot of fragment length was observed. Some DI vRNAs showed breaking points in a specific part of their bundling signal (belonging to the packaging signal), suggesting its dispensability for DI vRNA propagation. Over a total cultivation time of 21 days, several individual DI vRNAs accumulated to high fractions, while others decreased. Using reverse genetics for IAV, purely clonal DIPs derived from highly replicating DI vRNAs were generated. We confirm that these DIPs exhibit a superiorin vitrointerfering efficacy than DIPs derived from lowly accumulated DI vRNAs and suggest promising candidates for efficacious antiviral treatment.ImportanceDefective interfering particles (DIPs) emerge naturally during viral infection and typically show an internal deletion in the viral genome. Thus, DIPs are propagation-incompetent. Previous research suggests DIPs as potent antiviral compounds for many different virus families due to their ability to interfere with virus replication by competitive inhibition. For instance, the administration of influenza A virus (IAV) DIPs resulted in a rescue of mice from an otherwise lethal IAV dose. Moreover, no apparent toxic effects were observed when only DIPs were administered to mice and ferrets. IAV DIPs show antiviral activity against many different IAV strains, including pandemic and highly pathogenic avian strains, and even against non-homologous viruses, like SARS-CoV-2, by stimulation of innate immunity. Here, we used a cultivation/infection system, which exerted selection pressure toward accumulation of highly competitive IAV DIPs. These DIPs showed a superior interfering efficacyin vitro, and we suggest them for effective antiviral therapy.
Neural epidermal growth factor-like 1 protein variant increases survival and modulates the inflammatory and immune responses in human ACE-2 transgenic mice infected with SARS-CoV-2
Authors: Biswas Roopa , Eaker Shannon , Soni Dharmendra Kumar , Kar Swagata , LoBato Denae , Culiat Cymbeline 
Published: February 2021

ABSTRACTCoronavirus disease 2019 (COVID-19) is a viral illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is a worsening global pandemic. COVID-19 has caused at least 1.7 million deaths worldwide and over 300,000 in the United States. Recently, two promising vaccines are being administered in several countries. However, there remains an urgent need for a therapeutic treatment for COVID-19 patients with severe respiratory damage that can lead to intensive care, prolonged hospitalization, or mortality. Moreover, an increasing population of patients manifest lingering disabling symptoms (called Long Haulers). Here, we tested the efficacy of a recombinant neural epidermal growth factor like 1 protein variant (NELL1-NV1) in a COVID-19 mouse model, transgenic mice expressing the human angiotensin I-converting enzyme 2 (ACE2) receptor (tg-mice hACE2) infected with SARS-CoV-2. The administration of NELL1-NV1 to SARS-CoV-2-infected tg-mice hACE2 significantly improved clinical health score and increased survival. Analyses of bronchoalveolar (BAL) fluid demonstrated decreased levels of several cytokines and chemokines (IFN-γ, IL-10, IL-12 p70, CXCL-10/IP-10, MIG and Rantes), in NV1-treated treated mice compared to controls. Cytokines including IL-1α, IL-9, IL-6, LIX/CXCL5, KC/CXCL1, MIP-2/CXCL2, MIP-1α/CCL3, and G-CSF, critical to immune responses such as neutrophil recruitment, viral clearance and vascularization, were increased compared to controls. Our data suggest the potential of NELL1-NV1-based therapy to mitigate the cytokine storm, modulate the abnormal immune response and repair respiratory tissue damage in COVID-19 patients.
Software Evaluation forde novoDetection of Transposons
Authors: Rodriguez Matias , Makałowski Wojciech 
Published: February 2021

AbstractTransposable elements (TEs) are major genomic components in most eukaryotic genomes and play an important role in genome evolution. However, despite their relevance the identification of TEs is not an easy task and a number of tools were developed to tackle this problem. To better understand how they perform, we tested several widely used tools forde novoTE detection and compared their performance on both simulated data and well curated genomic sequences. As expected, tools that build TE-models performed better than k-mer counting ones, with RepeatModeler beating competitors in most datasets. However, there is a tendency for most tools to identify TE-regions in a fragmented manner and it is also frequent that small TEs or fragmented TEs are not detected. Consequently, the identification of TEs is still a challenging endeavor and it requires a significant manual curation by an experienced expert. The results will be helpful for identifying common issues associated with TE-annotation and for evaluating how comparable are the results obtained with different tools.
Neuroblastoma formation requires unconventional CD4 T cells and myeloid amino acid metabolism
Authors: Van de Velde Lee-Ann , Allen E. Kaitlynn , Crawford Jeremy Chase , Wilson Taylor L. , Guy Clifford S. , Russier Marion , Zeitler Leonie , Bahrami Armita , Finkelstein David , Pelletier Stephane , Schultz-Cherry Stacey , Thomas Paul G. , Murray Peter J. 
Published: February 2021

SummaryBy mirroring their function as tissue repair organizers in normal tissues, immune cells regulate tumor growth. To understand the different facets of immune-tumor collaboration through genetics, spatial transcriptomics, and immunological manipulation with non-invasive, longitudinal imaging, we generated a penetrant double oncogene-driven autochthonous model of neuroblastoma. Using spatial transcriptomic analysis, we co-localized CD4+and myeloid populations within the tumor parenchyma, while CD8+T cells and B cells were peripherally dispersed. Depletion of CD4+T cells or CCR2+macrophages, but not B cells, CD8+, or NK cells, prevented tumor formation. Tumor CD4+T cells displayed unconventional phenotypes, were clonotypically diverse, and antigen-independent. Within the myeloid fraction, tumor growth required myeloid cells expressing Arginase-1. Overall, our results suggest that arginine-metabolizing myeloid cells conspire with pathogenic CD4+T cells to create permissive conditions for tumor formation, and therefore suggest that these pro-tumorigenic pathways can be disabled by targeting myeloid amino acid metabolism.
Simultaneous functional MRI of socially interacting marmosets
Authors: Gilbert Kyle M. , Cléry Justine C. , Gati Joseph S. , Hori Yuki , Mashkovtsev Alexander , Zeman Peter , Menon Ravi S. , Schaeffer David J. , Everling Stefan 
Published: February 2021

AbstractSocial cognition is a dynamic process that requires the perception and integration of a complex set of idiosyncratic features between interacting conspecifics. Here we present a method for simultaneously measuring the whole-brain activation of two socially interacting marmoset monkeys using functional magnetic resonance imaging. MRI hardware (a radiofrequency coil and peripheral devices) and image-processing pipelines were developed to assess brain responses to socialization, both on an intra-brain and inter-brain level. Notably, brain-activation maps acquired during constant interaction demonstrated neuronal synchrony between marmosets in regions of the brain responsible for processing social interaction. This method enables a wide range of possibilities for studying social function and dysfunction in a non-human primate model, including using transgenic models of neuropsychiatric disorders.
Mechanistic insight into substrate processing and allosteric inhibition of human p97
Authors: Pan Man , Yu Yuanyuan , Ai Huasong , Zheng Qingyun , Xie Yuan , Liu Lei , Zhao Minglei 
Published: February 2021

Abstractp97 processes ubiquitinated substrates and plays a central role in cellular protein homeostasis. Previous studies have showed that it is a potential drug target for cancer, neurodegenerative disease, and viral infections. Here, we report a series of cryo-electron microscopy (cryo-EM) structures of substrate-engaged human p97 complex that captured “power stroke”-like motions of both the D1 and D2 ATPase rings of p97. A key feature of these structures is the critical conformational changes of the inter-subunit signaling (ISS) motifs, which tightens the binding of nucleotides and neighboring subunits, and contributes to the spiral staircase conformation of the D1 and D2 rings. We further determined the cryo-EM structure of human p97 in complex with NMS-873, the most potent p97 inhibitor. The structures showed that NMS-873 binds at a cryptic groove in the D2 domain and interacts with the ISS motif, preventing its conformational change, thus blocking substrate translocation allosterically.
Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task
Authors: Jeon Brian B. , Fuchs Thomas , Chase Steven M. , Kuhlman Sandra J. 
Published: February 2021

AbstractAcquisition of new skills has the potential to disturb existing network function. To directly assess whether previously acquired cortical function is altered during learning, mice were trained in an abstract task in which selected activity patterns were rewarded using an optical brain-computer interface device coupled to primary visual cortex (V1) neurons. Excitatory neurons were longitudinally recorded using 2-photon calcium imaging. Despite significant changes in local neural activity during task performance, tuning properties and stimulus encoding assessed outside of the trained context were not perturbed. Similarly, stimulus tuning was stable in neurons that remained responsive following a different, visual discrimination training task. However, visual discrimination training increased the rate of representational drift. Our results indicate that while some forms of perceptual learning may modify the contribution of individual neurons to stimulus encoding, new skill learning is not inherently disruptive to the quality of stimulus representation in adult V1.
Assessing the impacts of global economic policy uncertainty and the long-term bond yields on oil prices
Authors: Ozcelebi Oguzhan 
Published: February 2021

Purpose
Might the impact of the global economic policy uncertainty (GEPU) and the long-term bond yields on oil prices be asymmetric? This paper aims to consider the effects of the GEPU and the US long-term government bond yields on oil prices using quantile-based analysis and nonlinear vector autoregression (VAR) model. The author hypothesized whether the negative and positive changes in the GEPU and the long-term bond yields of the USA have different effects on oil prices.

Design/methodology/approach
To address this question, the author uses quantile cointegration model and the impulse response functions (IRFs) of the censored variable approach of Kilian and Vigfusson (2011).

Findings
The quantile cointegration test showed the existence of non-linear cointegration relationship, whereas Granger-causality analysis revealed that positive/negative variations in GEPU will have opposite effects on oil prices. This result was supported by the quantile regression model’s coefficients and nonlinear VAR model’s IRFs; more specifically, it was stressed that increasing/decreasing GEPU will deaccelerate/accelerate global economic activity and thus lead to a fall/rise in oil prices. On the other hand, the empirical models indicated that the impact of US 10-year government bond yields on oil prices is asymmetrical, while it was found that deterioration in the borrowing conditions in the USA may have an impact on oil prices by slowing down the global economic activity.

Originality/value
As a robustness check of the quantile-based analysis results, the slope-based Mork test is used.
Comparative study by DTM for unsteady viscous flow between the jet engines combustion unit subjected to inclined magnetic field
Authors: Anand V.W.J. , Ganesh S. , Kechil Seripah Awang 
Published: February 2021

Purpose
The purpose of this study to analyze the unsteady magneto hydrodynamic incompressible viscous fluid flow along the porous parallel plates in which constant periodic suction/injection takes place at lower and upper plate, respectively. By the proper choice of stream function, they obtained exact solution analytically. Velocity components are obtained from exact solution.

Design/methodology/approach
Emissions of the pollutants from the aviation sectors are doubled compared to 2000. There are many recent developments that are actively developed to combat the emission by increasing the performance of the Jet engines. The role of the computational fluid dynamics and the numerical approaches are crucial in terms of research and development.

Findings
Velocity profiles like axial and radial have been drawn for various values of M, D, α and θ. The exact solutions have been solved by differential transformation method. The closed form analytical solutions are obtained for the stream function, axial and radial velocities and flow velocity.

Originality/value
The effects of Darcy parameter, magnetic parameter, Suction Reynolds number and frequency parameter on lower and upper plates are discussed through graphs.
Strategic adaptation: leadership lessons for small business survival and success
Authors: Quansah Emmanuel , Hartz Dale E. 
Published: February 2021

PurposeApproximately half of all new businesses fail within the first five years of operation. This study was undertaken to understand the behavior of small business (SB) leaders, including their decision-making processes and adaptive leadership practices that enable their organizations to survive during periods of general crisis and intense competition.Design/methodology/approachIn order to understand the lived experiences of our research participants, a constructivist grounded theory approach was used. Thirty-two CEOs and leaders from fifteen organizations were interviewed.FindingsIt was determined that successful SB leaders avoid organizational complacency by being continuous learners, who are agile and flexible in determining appropriate management strategies. Additionally, they leverage time management processes, build strong and productive relationship networks and create positive family-oriented workplace cultures to increase their odds of survival.Research limitations/implicationsThis qualitative study was limited to interviews, observations and analysis of organizational archetypes; therefore, the authors can establish a pattern in behavior but cannot make a causality claim.Practical implicationsThe findings provide SB leaders with effective concepts, practices and strategies from members of their peer group, which they can test, refine and implement.Social implicationsThe impact of business failures is often devastating financially and emotionally for the families and employees involved. Learning methods for strategic adaptation that may help avoid business closures could provide a positive societal contribution.Originality/valueThere is little empirical research about how SBs strategically adapt during challenging periods. This study helps fill that gap and provides an understanding of how SB leaders adapt to continuous challenges, create value and remain competitive in difficult business environments.