bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of discharge characteristics of pulsed plasma power source in the microsecond scale
Authors: Zhang Qian , Liu Zhiheng , Lin Deling , Hu Yuzhe , Zheng Borui , Zhao Taifei 
Published: August 2022

Abstract
The characteristics test of plasma discharge is an essential physical basis for studying plasma flow control. The power consumption of pulsed plasma aerodynamic actuation is 30% lower than when the actuation voltage is a continuous sine wave. This paper uses a self-developed pulsed plasma power source to superimpose DC. The power source conducts the discharge measurement on the sliding discharge plasma. The experimental results show that the power source effectively outputs 0-20 kV pulsed high voltage. The superimposed DC power source generates a negative DC high voltage, accelerating the drift speed of positive ions in the plasma and forming a stable and uniform surface discharge. But the essence of pulse discharge is still filamentary discharge. In a cycle, the plasma discharge is mainly concentrated on the rising edge of the pulse. In contrast, the pulse current is bipolar, and the negative pulse current has a more obvious growth trend, which is more effective for improving the flow control ability.
Numerical analysis and optimization of radio-frequency ion trap potential
Authors: Liu Yuhan , Du Lijun , He Yuling , Huang Shiyi , Zhang Qiang , He Keliang , Tang Yulong , Meng Yansong , Zhai Shenghua 
Published: August 2022

Abstract
The trap of multi-ion frequency standard is an ideal candidate for a new generation of ground and space-borne timekeeping systems, which has high signal-to-noise ratio, low frequency drift rate and excellent long-term frequency stability. The non-ideal characteristic of radio-frequency potential is one of the dominant factors that restrict the performance of ion frequency standard. In this study, the finite element numerical analysis method is used to quantitatively analyse and optimize the electrical potential field of ion trap, and an analytical model of ideal trapping potential is established. The typical transient numerical potential surface of trapping potential is used for decoupling analysis of various electrical potential effects. Based on the optimal structure parameters, the numerical model and analytical model of non-standard ion trap are established to verify the validity and accuracy of the numerical analysis method. This method can provide a quantitative solution for the high precision reconstruction of the trapping potential model of heterotype ion traps.
Bacteria-inspired magnetically actuated rod-like soft robot in viscous fluids
Authors: Bhattacharjee Anuruddha , Jabbarzadeh Mehdi , Kararsiz Gokhan , Fu Henry C , Kim Min Jun 
Published: August 2022

Abstract
This paper seeks to design, develop, and explore the locomotive dynamics and morphological adaptability of a bacteria-inspired rod-like soft robot propelled in highly viscous Newtonian fluids. The soft robots were fabricated as tapered, hollow rod-like soft scaffolds by applying a robust and economic molding technique to a polyacrylamide-based hydrogel polymer. Cylindrical micro-magnets were embedded in both ends of the soft scaffolds, which allowed bending (deformation) and actuation under a uniform rotating magnetic field. We demonstrated that the tapered rod-like soft robot in viscous Newtonian fluids could perform two types of propulsion; boundary rolling was displayed when the soft robot was located near a boundary, and swimming was displayed far away from the boundary. In addition, we performed numerical simulations to understand the swimming propulsion along the rotating axis and the way in which this propulsion is affected by the soft robot’s design, rotation frequency, and fluid viscosity. Our results suggest that a simple geometrical asymmetry enables the rod-like soft robot to perform propulsion in the low Reynolds number (Re ≪ 1) regime; these promising results provide essential insights into the improvements that must be made to integrate the soft robots into minimally invasive in vivo applications.
Get a grip: inward dactyl motions improve efficiency of sideways-walking gait for an amphibious crab-like robot
Authors: Graf N M , Grezmak J E , Daltorio K A 
Published: August 2022

Abstract
Crabs are adept at traversing natural terrains that are challenging for mobile robots. Curved dactyls are a characteristic feature that engage terrain in order to resist wave forces in surf zones. Inward gripping motions at the onset of the stance could increase stability. Here, we add inward gripping motions to the foot trajectories of walking gaits to determine the energetic costs and speed for our 12 degree of freedom (DOF) crab-like robot, Sebastian. Specifically, we compared two gaits in which the step size (stance length) was the same, but the swing trajectories were either triangular (to minimize trajectory length) or quadrilateral (in which the leg deliberately oversteps in order to perform a distributed inward grip). The resulting gripping quadrilateral gait significantly outperformed the nongripping triangular gait on diverse terrains (hard linoleum, soft mats, and underwater sand), providing between 15% and 34% energy savings. Using this gait eliminates the advantage of spherical end effectors for slip reduction on hard linoleum, which may lead to a better understanding of how to use crab-like morphology for more efficient locomotion. Finally, we subjected the walking robot to lab-generated waves with a wave height approximately 166% of the dactyl length. Both gaits enabled the robot to walk undisturbed by the waves. Taken together, these results suggest that impact trajectory will be key for future amphibious robots. Future work can provide a deeper understanding of the relationships between dactyls, gaits, and substrates in biology and robots.
A bioinspired robotic knee with controlled joint surfaces and adjustable ligaments
Authors: Liang Wei , Wu Wei , Chen Wei , Ren Lei , Wang Kunyang , Qian Zhihui , Ren Luquan 
Published: August 2022

Abstract
The knee joint plays a key role in kinematic and kinetic performances of pedestrain locomotion. The key role of meniscus with matched ligaments in joint stability and movability has not been fully explored in current robotic knee designs. We fabricate a bioinspired robotic knee based on a kinematic model of an anatomical knee in order to reveal the relationship between the meniscus, ligaments and their stability and movability, respectively. The kinematic model was built from magnetic resonance imaging of the human knee with generated contact profiles and customized ligament fibers. Then, the bioinspired knee was designed, and its dynamic stability was maintained by ligaments and specific contact profiles, which were acquired based on the kinematic model. Finally, a monopod robot with the bioinspired knee assembled was developed for dynamic testing. The results show that (1) a smooth rolling–sliding motion can be achieved with the addition of menisci and compatible ligaments; and (2) joint stiffness can be adjusted by changing the springs and activation lengths of ligament fibers. This study gives biomimetic insights into a new design of knee joint for a robotic/prosthetic leg.
The SAGEX review on scattering amplitudes Chapter 7: Positive geometry of scattering amplitudes
Authors: Herrmann Enrico , Trnka Jaroslav 
Published: August 2022

Abstract
Scattering amplitudes are both a wonderful playground to discover novel ideas in quantum field theory and simultaneously of immense phenomenological importance to make precision predictions for e.g. particle collider observables and more recently also for gravitational wave signals. In this review chapter, we give an overview of some of the exciting recent progress on reformulating QFT in terms of mathematical, geometric quantities, such as polytopes, associahedra, Grassmanians, and the amplituhedron. In this novel approach, standard notions of locality and unitarity are derived concepts rather than fundamental ingredients in the construction which might give us a handle on a number of open questions in QFT that have evaded an answer for decades. We first give a basic summary of positive geometry before discussing the associahedron—one of the simplest physically relevant geometric examples—and its relation to tree-level scattering amplitudes in bi-adjoint ϕ
3 theory. Our second example is the amplituhedron construction for scattering amplitudes in planar maximally supersymmetric Yang–Mills theory.
A superconducting nanowire-based architecture for neuromorphic computing
Authors: Lombo Andres E , Lares Jesus , Castellani Matteo , Chou Chi-Ning , Lynch Nancy , Berggren Karl K 
Published: August 2022

Abstract
Neuromorphic computing would benefit from the utilization of improved customized hardware. However, the translation of neuromorphic algorithms to hardware is not easily accomplished. In particular, building superconducting neuromorphic systems requires expertise in both superconducting physics and theoretical neuroscience, which makes such design particularly challenging. In this work, we aim to bridge this gap by presenting a tool and methodology to translate algorithmic parameters into circuit specifications. We first show the correspondence between theoretical neuroscience models and the dynamics of our circuit topologies. We then apply this tool to solve a linear system and implement Boolean logic gates by creating spiking neural networks with our superconducting nanowire-based hardware.
Causal and Associational Language in Observational Health Research: A Systematic Evaluation
Authors: Haber Noah A , Wieten Sarah E , Rohrer Julia M , Arah Onyebuchi A , Tennant Peter W G , Stuart Elizabeth A , Murray Eleanor J , Pilleron Sophie , Lam Sze Tung , Riederer Emily , Howcutt Sarah Jane , Simmons Alison E , Leyrat Clémence , Schoenegger Philipp , Booman Anna , Dufour Mi-Suk Kang , O’Donoghue Ashley L , Baglini Rebekah , Do Stefanie , Takashima Mari De La Rosa , Evans Thomas Rhys , Rodriguez-Molina Daloha , Alsalti Taym M , Dunleavy Daniel J , Meyerowitz-Katz Gideon , Antonietti Alberto , Calvache Jose A , Kelson Mark J , Salvia Meg G , Parra Camila Olarte , Khalatbari-Soltani Saman , McLinden Taylor , Chatton Arthur , Seiler Jessie , Steriu Andreea , Alshihayb Talal S , Twardowski Sarah E , Dabravolskaj Julia , Au Eric , Hoopsick Rachel A , Suresh Shashank , Judd Nicholas , Peña Sebastián , Axfors Cathrine , Khan Palwasha , Rivera Aguirre Ariadne E , Odo Nnaemeka U , Schmid Ian , Fox Matthew P 
Published: August 2022

Abstract
We estimated the degree to which language used in the high-profile medical/public health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations; examined disconnects between language and recommendations; identified the most common linking phrases; and estimated how strongly linking phrases imply causality. We searched for and screened 1,170 articles from 18 high-profile journals (65 per journal) published from 2010–2019. Based on written framing and systematic guidance, 3 reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations. Reviewers rated the causal implication of exposure/outcome linking language as none (no causal implication) in 13.8%, weak in 34.2%, moderate in 33.2%, and strong in 18.7% of abstracts. The implied causality of action recommendations was higher than the implied causality of linking sentences for 44.5% or commensurate for 40.3% of articles. The most common linking word in abstracts was “associate” (45.7%). Reviewers’ ratings of linking word roots were highly heterogeneous; over half of reviewers rated “association” as having at least some causal implication. This research undercuts the assumption that avoiding “causal” words leads to clarity of interpretation in medical research.
Assessing the Fit of N95 Filtering Facepiece Respirators Fitted with an Ear Loop Strap System: A Pilot Study
Authors: Niu Xinyi , Koehler Richard H , Yermakov Michael , Grinshpun Sergey A 
Published: August 2022

Abstract
Throughout the COVID-19 pandemic, hundreds of millions of people worldwide have become new users of respiratory protective devices. Facemasks and KN95 respirators utilizing an ear loop straps system (ELSS) have recently become popular among occupational and non-occupational populations. Part of this popularity is due to the ease of wearability as compared with traditional devices utilizing two headbands, one worn over the head and the other behind the neck—a universal strap system used in NIOSH-certified N95 filtering facepiece respirators (FFRs). Some users convert the two-strap configuration to an adjustable ELSS. The first objective of this pilot study was to quantitatively characterize how such a conversion impacts the respirator fit. Additionally, a novel faceseal (NFS) technology, which has been previously demonstrated to enhance the fit of N95 FFRs, was deployed to modify the ELSS-converted N95 FFRs. The second objective of this study was to quantify the fit improvement that results from adding the NFS to the ELSS. The study was conducted by performing the Occupational Safety and Health Administration (OSHA)-approved quantitative fit testing (QNFT) on 16 human subjects featuring different facial shapes and dimensions. Three models of cup-shaped N95 FFRs were tested in three versions: the standard version with manufacturer’s strap system, the ELSS-converted, and the ELSS-converted version modified by adding the NFS. QNFT demonstrated that the fit of an N95 FFR featuring the traditional/standard headbands strap system is negatively impacted when this system is converted to an ELSS. The fit of an ELSS-converted respirator can be significantly improved by the addition of the NFS. We found that the FFR model and the strap system version are significant factors affecting the QNFT-determined respirator fit factor (FF), as well as the OSHA QNFT pass rate (FF ≥100). The findings suggest that the current NFS, if further improved, has a potential for developing a ‘universally fitting’ ELSS-equipped N95 FFR that can be used by the general public, the vast majority of whom do not have access to OSHA fit requirements.
Call combinations in chimpanzees: a social tool?
Authors: Leroux Maël , Chandia Bosco , Bosshard Alexandra B , Zuberbühler Klaus , Townsend Simon W 
Published: August 2022

Abstract
A growing body of evidence suggests the capacity for animals to combine calls into larger communicative structures is more common than previously assumed. Despite its cross-taxa prevalence, little is known regarding the evolutionary pressures driving such combinatorial abilities. One dominant hypothesis posits that social complexity and vocal complexity are linked, with changes in social structuring (e.g., group size) driving the emergence of ever-more complex vocal abilities, such as call sequencing. In this paper, we tested this hypothesis through investigating combinatoriality in the vocal system of the highly social chimpanzee. Specifically, we predicted combinatoriality to be more common in socially-driven contexts and in females and lower-ranked males (socially challenging contexts and socially challenged individuals respectively). Firstly, through applying methods from computational linguistics (i.e., collocation analyses), we built an objective repertoire of combinatorial structures in this species. Second, we investigated what potential factors influenced call combination production. We show that combinatoriality is predominant in 1) social contexts vs. non-social contexts, 2) females vs. males, and 3) negatively correlates with male rank. Together, these results suggest one function of combinatoriality in chimpanzees may be to help individuals navigate their dynamic social world. More generally, we argue these findings provide support for the hypothesized link between social and vocal complexity and can provide insight into the evolution of our own highly combinatorial communication system, language.
A novel method for handling pre-existing conditions in multivariate prediction model development for COVID-19 death in the Department of Veterans Affairs
Authors: Campbell Heather M , Murata Allison E , Mao Jenny T , McMahon Benjamin , Murata Glen H 
Published: August 2022

Abstract
Many mathematical models have been proposed to predict death following the Coronavirus Disease 2019 (COVID-19); all started with comorbidity subsets for this still-little understood disease. Thus, we derived a novel predicted probability of death model (PDeathDx) upon all diagnostic codes documented in the Department of Veterans Affairs. We present the conceptual underpinnings and analytic approach in estimating the independent contribution of pre-existing conditions. This is the largest study to-date following patients with COVID-19 to predict mortality. Cases were identified with at least one positive nucleic acid amplification test. Starting in 1997, we use diagnoses from the first time a patient sought care until 14 days before a positive nucleic acid amplification test. We demonstrate the clear advantage of using an unrestricted set of pre-existing conditions to model COVID-19 mortality, as models using conventional comorbidity indices often assign little weight or usually do not include some of the highest risk conditions; the same is true of conditions associated with COVID-19 severity. Our findings suggest that it is risky to pick comorbidities for analysis without a systematic review of all those experienced by the cohort. Unlike conventional approaches, our comprehensive methodology provides the flexibility that has been advocated for comorbidity indices since 1993; such an approach can be readily adapted for other diseases and outcomes. With our comorbidity risk adjustment approach outperforming conventional indices for predicting COVID-19 mortality, it shows promise for predicting outcomes for other conditions of interest.
miR-3168 promotes hepatocellular carcinoma progression via downregulating p53
Authors: Lu Tingting , Han Tao , Zhao Mingfang 
Published: August 2022

Abstract
Hepatocellular carcinoma (HCC) is a highly malignant disease with poor prognosis, which is partly due to the presence of liver cancer stem cells (CSCs). CSCs participate in tumor recurrence, metastasis, and chemoresistance. However, the mechanisms underlying liver CSC regulation are unknown. In this study, we found that miR-3168 expression is increased in HCC and that it predicts poor prognosis. Functional assays showed that miR-3168 promotes HCC cells’ proliferation and facilitates liver CSC self-renewal and tumorigenicity. Mechanistically, bioinformatics and the luciferase reporter assay demonstrated that miR-3168 targets the 3'UTR of the p53 mRNA. MiR-3168 expression was negatively correlated with p53 mRNA in HCC tissue samples. Rescue assays demonstrated that p53 knockdown abrogates the discrepancies in proliferation, self-renewal, and tumorigenicity between miR-3168 knockdown HCC cells and control HCC cells. Furthermore, miR-3168 expression was negatively correlated with p53 in HCC tissues. The combined HCC panels exhibited a worse prognostic value for HCC patients than any of these components alone. Moreover, miR-3168 expression was increased in cisplatin-resistant HCC cells and patient-derived xenografts. Clinical cohort analysis revealed that HCC patients with low miR-3168 levels have a superior survival rate when treated with postoperative transcatheter arterial chemoembolization compared with that of patients with high miR-3168 levels. In conclusion, our study uncovered a novel mechanism of liver CSC regulation and provided a potential therapeutic target for liver CSCs.
How to Spot a Usurper: Clinical Ethics Consultation and (True) Moral Authority
Authors: Evans Kelly Kate , Colgrove Nicholas 
Published: August 2022

AbstractClinical ethics consultants (CECs) are not moral authorities. Standardization of CECs’ professional role does not confer upon them moral authority. Certification of particular CECs does not confer upon them moral authority (nor does it reflect such authority). Or, so we will argue. This article offers a distinctly Orthodox Christian response to those who claim that CECs—or any other academically trained bioethicist—retain moral authority (i.e., an authority to know and recommend the right course of action). This article proceeds in three parts. First, we discuss recent movements toward the certification of CECs in the United States, focusing primarily on proposals and programs put forth by the American Society for Humanities and Bioethics (ASBH). Second, we outline two secular reasons to be concerned about the relevant trends toward certification. For one thing, certification is currently being advanced via political dominance, rather than gaining authority by reliance on rigorous philosophical argument or reason. For another, the trends operate on the assumption that there exists a secular, content-full, canonical, morality. There is no such morality. Next, we argue that Orthodox Christians should resist the current trends toward certification of CECs. Specifically, we unpack ways in which the ASBH’s certification program (and those like it) conflict with Orthodox claims about moral authority and the moral life more generally. We conclude that Orthodox Christians should resist the current certification trends.
A sharp decrease of Th17, CXCR3+-Th17, and Th17.1 in peripheral blood is associated with an early anti-IL-17-mediated clinical remission in psoriasis
Authors: Tsiogkas Sotirios G , Mavropoulos Athanasios , Dardiotis Efthimios , Zafiriou Efterpi , Bogdanos Dimitrios P 
Published: August 2022

Abstract
Psoriasis—an immune-mediated skin disease—implicates in its pathophysiology by circulating pro-inflammatory cell populations, cytokines, and their interactions with the epidermis. The direct effect of approved anti-interleukin- (IL-)17A and anti-IL-17R biologic therapy on immunophenotyping of peripheral blood mononuclear lymphocytes’ (PBMCs) relative sub-population frequencies in psoriasis patients has not yet been described. Using multiparameter flow cytometry we examined T-cell subpopulations characterized by CCR6, CCR4, and CXCR3 chemokine receptor surface expression at baseline and after initiation of biologic therapy in PBMCs collected from 30 psoriasis patients. Increased CD3+CD4+CXCR3+, CD3+CD4+CCR6+CCR4+CXCR3+(CXCR3+-Th17), and CD3+CD4+CCR6+CCR4-CXCR3+(Th17.1) cell populations were observed in patients with psoriasis in comparison to healthy individuals (n = 10). IL-17 therapeutic blockade decreased CD3+CD4+CCR6+, CD3+CD4+CXCR3+, CD3+CD4+CCR6-CXCR3+(Th1), CD3+CD4+CCR6+CCR4+(Th17), CD3+CD4+CCR6+CCR4+CXCR3+(CXCR3+-Th17), and CD3+CD4+CCR6+CCR4-CXCR3+(Th17.1) cell populations in responding psoriasis patients. Moreover, CD3+CD4-CCR6+, CD3+CD4-CXCR3+, CD3+CD4-CCR6+CCR4+(Tc17), and CD3+CD4-CCR6-CXCR3+(Tc1) percentages were also inhibited. Modulation of the same cell sub-populations was also assessed in patients treated with methotrexate (n = 4), apremilast (n = 4), and anti-IL-23 biologic treatment (n = 4). In our study, the levels and functional capacity of peripheral pro-inflammatory Th1, Th17, and additional CCR6+T cell sub-gated populations from psoriasis patients that were treated with anti-IL-17 or anti-IL-17R targeted biologic therapy were explored for the first time. Our data clearly demonstrate that early anti-IL-17 mediated clinical remission is accompanied by a significant decrease of Th1, Th17, CXCR3+-Th17, and Th17.1 cells.