bluuebunny/crossref_metadata_2025_split huggingface dataset:
From strategic depiction of conspiracies to conspiracy theories
Authors: Madisson Mari-Liis , Ventsel Andreas 
Published: November 2022

Abstract
Our study focuses on the coverage of coronavirus-related conspiracies/conspiracy theories published in spring 2020 (n = 146) in Anglophone media outlets RT and Sputnik that are financed by the Russian government. In our analysis we rely on a semiotic approach to strategic (conspiracy) narratives. Our study demonstrates a significant shift in the representation of conspiracies: instead of the depiction of malicious acts of secret grouping, RT and Sputnik narrate about alarming effects of conspiracy theories. Coronavirus-related conspiracy theories are represented as a means that the US is using in blame games against China and Russia, as well as a propaganda-tool for scaring the Western audience.
“Gender ideology” and the discursive infrastructure of a transnational conspiracy theory
Authors: Zottola Angela , Borba Rodrigo 
Published: November 2022

Abstract
The formula “gender ideology” has recently gained political traction in several countries. This chapter investigates its conspiracist discursive infrastructure by probing two corpora of far-right media from Brazil and the US. Analysis indicates that “gender ideology” is framed within semantic realms of manipulation, puppeteering, falseness, and danger. It also suggests that anti-gender rhetoric acts as an all-encompassing narrative whereby a cohort of inchoate but ideologically interlinked conspiracy theories are lumped together in a seemingly coherent whole. Comparing datasets from two countries empirically illustrates how anti-gender rhetoric crosses transnational borders and adapts to local specifics along the way.
The combinative use of “imperative + final particle” in Tokyo language in the Meiji period
Authors: Chen Huiling , Du Jianying 
Published: November 2022

Abstract
Honorifics in Japanese as a rare linguistic system has received consistent attention in social and cultural linguistic studies. A typical linguistic structure of honorifics is “imperative + sentence-final particles (shuu-joshi)” (henceforth, “final particle”), which has been studied mainly as a compound expression in Tokyo language. Different from previous studies with separated attention towards imperative expressions and sentence-final particles in the Edo era as well as in modern Japan, this paper investigates the combinative use and diachronic changes of “imperative + final particle” during the Meiji period – a period of upheaval in the Tokyo dialect. The investigation takes multiple views including the positions and relations (social and psychological) between the interlocutors, and the context of the utterance. Results of the investigation lead to an insight into pragmatic norms and diachronic changes of the modern Tokyo dialect, specifically the tendencies, characteristics and the driving force.
This study finds the particular expressive effect accomplished by the combinational use of “imperative + final particle” in the modern Tokyo dialect. The speaker shapes the degree of respect or politeness with the selective use of imperatives, and signals the communicative attitude by adding sentence-final particles. This linguistic form manifests the demand for “acting upon”, unveils the social construct and cultural norms embedded in inter-personal communication. The analysis on the developmental trend of “imperative + final particle” suggests that the prototype of the Tokyo dialect brings to prominence the across-status expressions as a result of social, political and educational reforms.
Overlaps in collaboration adjustments
Authors: Takeda Lala U. 
Published: November 2022

AbstractThis study examines collaborative utterance overlaps in American English and Japanese interactions between the same participants in two genres, conversation and problem-solving tasks, from the perspective of metacommunication. Quantitative and qualitative analyses indicated that participants’ use of overlap varies in frequency and function by genre. In conversation tasks, speakers of both languages used overlaps to maintain coherence and keep the story on track. In problem-solving tasks, American English overlaps conveyed agreement with or acceptance of the proposed idea, whereas Japanese overlaps in this genre conveyed common understanding. Participants attended to situational adjustment, and the development of collaboration in interactions differed by context and genre depending on the purpose of the conversation and the amount of information shared by participants. These results suggest the importance of teaching students how to use overlaps in both American English and Japanese interactions to enhance their understanding and appreciation of the cultural nuances of collaboration.
Has madam read Wilson (2016)?
Authors: Piskorska Agnieszka 
Published: November 2022

Abstract
This paper offers an account of Polish addressative forms encoding deference and familiarity in terms of the relevance-theoretic notion of procedural meaning, which underlies a heterogeneous range of phenomena linked to different cognitive domains. The procedure encoded by pronouns used referentially can be seen as targeting the domain of inferential comprehension and contributing to the truth-conditional meaning of an utterance by identifying a referent of a pronoun. It is claimed here that addressative forms marking the politeness distinction encode another procedure, targeting the social cognition module and activating the hearer’s readiness to identify the form as (in)congruent with social norms. It is argued that the politeness element in addressative forms does not involve conceptual encoding. The potential of the T/V forms for giving rise to stylistic effects is also explored. It is suggested that the proposal can be extended to other languages with the T/V distinction.
Generalized quasi-topological gravities: the whole shebang
Authors: Bueno Pablo , Cano Pablo A , Hennigar Robie A , Lu Mengqi , Moreno Javier 
Published: November 2022

Abstract
Generalized quasi-topological gravities (GQTGs) are higher-curvature extensions of Einstein gravity in D-dimensions. Their defining properties include possessing second-order linearized equations of motion around maximally symmetric backgrounds as well as non-hairy generalizations of Schwarzschild’s black hole characterized by a single function,

f
(
r
)
≡
−

g

t
t

=

g

r
r

−
1

, which satisfies a second-order differential equation. In (Bueno et al 2020 Class. Quantum Grav.
37 015002) GQTGs were shown to exist at all orders in curvature and for general D. In this paper we prove that, in fact, n − 1 inequivalent classes (as far as static and spherically symmetric solutions are concerned) of order-n GQTGs exist for

D
⩾
5

. Amongst these, we show that one—and only one—type of densities is of the quasi-topological kind, namely, such that the equation for f(r) is algebraic. Our arguments do not work for D = 4, in which case there seems to be a single unique GQT density at each order which is not of the quasi-topological kind. We compute the thermodynamic charges of the most general D-dimensional order-n GQTG, verify that they satisfy the first law and provide evidence that they can be entirely written in terms of the embedding function which determines the maximally symmetric vacua of the theory.
Real-time monitoring of plasma synthesis of functional materials by high power impulse magnetron sputtering and other PVD processes: towards a physics-constrained digital twin
Authors: Ehiasarian A P , Sugumaran A A , Hovsepian P Eh , Davies C , Hatto P 
Published: November 2022

Abstract
Plasma synthesis of thin films by physical vapour deposition (PVD) enables the creation of materials that drive significant innovations in modern life. High value manufacturing demand for tighter quality control and better resource utilisation can be met by a digital twin capable of modelling the deposition process in real time. Optical emission spectroscopy (OES) was combined with process parameters to monitor all stages of both high power impulse magnetron sputtering and conventional magnetron sputtering processes to provide a robust method of determining process repeatability and a reliable means of process control for quality assurance purposes. Strategies and physics-based models for the in-situ real-time monitoring of coating thickness, composition, crystallographic and morphological development for a CrAlYN/CrN nanoscale multilayer film were developed. Equivalents to the ion-to-neutral ratio and metal-to-nitrogen ratios at the substrates were derived from readily available parameters including the optical emission intensities of Cr I, N2 (C–B) and Ar I lines in combination with the plasma diffusivity coefficient obtained from the ratio of substrate and cathode current densities. These optically-derived equivalent parameters identified the deposition flux conditions which trigger the switch of dominant crystallographic texture from (111) to (220) observed in XRD pole figures and the development of coating morphology from faceted to dense for a range of magnetron magnetic field configurations. OES-based strategies were developed to monitor the progress of chamber evacuation, substrate cleaning and preventative chamber wall cleaning to support process optimisation and equipment utilisation. The work paves the way to implementation of machine learning protocols for monitoring and control of these and other processing activities, including coatings development and the use of alternative deposition techniques. The work provides essential elements for the creation of a digital twin of the PVD process to both monitor and predict process outcomes such as film thickness, texture and morphology in real time.
Machine learning for flow field measurements: a perspective
Authors: Discetti Stefano , Liu Yingzheng 
Published: November 2022

Abstract
Advancements in machine-learning (ML) techniques are driving a paradigm shift in image processing. Flow diagnostics with optical techniques is not an exception. Considering the existing and foreseeable disruptive developments in flow field measurement techniques, we elaborate this perspective, particularly focused to the field of particle image velocimetry. The driving forces for the advancements in ML methods for flow field measurements in recent years are reviewed in terms of image preprocessing, data treatment and conditioning. Finally, possible routes for further developments are highlighted.
Accurate real-time SLAM based on two-step registration and multimodal loop detection
Authors: Zhang Guangyi , Zhang Tao , Zhang Chen 
Published: November 2022

Abstract
To improve the accuracy and efficiency of 3D LiDAR mapping, this paper improves the traditional point cloud registration and loop-detection methods and proposes a new scheme for accurate and real-time simultaneous localization and mapping systems. Cluster constraints are introduced into the front-end point cloud registration, and a two-step point cloud registration algorithm combining normal distribution transform and iterative closest point is proposed to speed up the point cloud registration. The effectiveness of this registration algorithm is fully validated in three sets of point cloud registration experiments. A loop detection process based on a height global descriptor for multimodal fusion is designed at the back end. The point cloud is encoded by this descriptor and fused with camera image information to generate a 1D operator to improve the search efficiency of loop closure frames. The proposed method is extensively evaluated on the KITTI data set and tested in playground periphery, fountain and parking lot environments. The results show that the accuracy of the proposed method outperforms the state-of-the-art LOAM and LeGO-LOAM in all three different scenarios.
Formation and consumption of HO2 radicals in ns pulse O2–He plasmas over a liquid water surface
Authors: Telfah Hamzeh , Jans Elijah , Raskar Sai , Adamovich Igor V 
Published: November 2022

Abstract
Hydroperoxyl (HO2) radicals are an important precursor in the formation of hydrogen peroxide (H2O2), a key species in plasma-liquid interactions, such that their formation and consumption pathways need to be understood. In this work, the generation and decay of HO2 have been studied in a controlled environment, in ns pulse discharge O2–He plasmas in contact with a liquid water surface. For this, time-resolved, absolute number densities of HO2 in O2–He mixtures excited by a repetitive ns pulse discharge are measured in situ by cavity ring down spectroscopy (CRDS). The discharge cell with external electrodes to generate the plasma and a water reservoir are integrated into the CRDS cavity. The high-reflectivity cavity mirrors are purged with helium to protect them from water vapor condensation. The experimental results are obtained at near room temperature, both during the discharge pulse burst and in the afterglow. The HO2 number density is inferred from the CRDS data using a spectral model exhibiting good agreement with previous measurements of absolute HO2 absorption cross sections. HO2 is generated during the discharge burst and decays in the afterglow between the bursts. The HO2 number density is also measured vs. the O2 fraction in the mixture. Comparison with the kinetic modeling predictions demonstrates good agreement with the data and identifies the dominant HO2 generation and decay processes. HO2 in the plasma is formed predominantly by the recombination of H atoms, generated by the electron impact dissociation of water vapor, with O2 molecules. Reactions with O atoms and hydroxyl (OH) radicals are among the main HO2 decay processes in the afterglow. HO2 is also detected when O2 is not present in the mixture. In this case, it is generated primarily by the recombination of OH radicals, via the formation of H2O2. The results demonstrate that CRDS can also be used for HO2 and other plasma chemical reaction product measurements in atmospheric pressure plasma jets impinging on a liquid water surface in ambient air.
Emission of gravitational waves by superconducting cosmic strings
Authors: Rybak I.Yu. , Sousa L. 
Published: November 2022

Abstract
We study the gravitational radiation emission efficiency Γ of superconducting cosmic strings. We demonstrate, by using a solvable model of transonic strings, that the presence of a current leads to a suppression of the gravitational emission of cusps, kinks and different types of loops. We also show that, when a current is present, the spectrum of emission of loops with cusps is exponentially suppressed as the harmonic mode increases, thus being significantly different from the power law spectrum of currentless loops. Furthermore, we establish a phenomenological relationship between Γ and the value of the current on cosmic strings. We conjecture that this relation should be valid for an arbitrary type of current-carrying string. We use this result to study the potential impact of current on the stochastic gravitational wave background generated by cosmic strings with additional degrees of freedom and show that both the amplitude and shape of the spectrum may be significantly affected.
Digitally predicting protein localization and manipulating protein activity in fluorescence images using 4D reslicing GAN
Authors: Jiao Yang , Gu Lingkun , Jiang Yingtao , Weng Mo , Yang Mei 
Published: November 2022

Abstract

Motivation
While multi-channel fluorescence microscopy is a vital imaging method in biological studies, the number of channels that can be imaged simultaneously is limited by technical and hardware limitations such as emission spectra cross-talk. One solution is using deep neural networks to model the localization relationship between two proteins so that the localization of one protein can be digitally predicted. Furthermore, the input and predicted localization implicitly reflect the modeled relationship. Accordingly, observing the response of the prediction via manipulating input localization could provide an informative way to analyze the modeled relationships between the input and the predicted proteins.

Results
We propose a protein localization prediction (PLP) method using a cGAN named 4D Reslicing Generative Adversarial Network (4DR-GAN) to digitally generate additional channels. 4DR-GAN models the joint probability distribution of input and output proteins by simultaneously incorporating the protein localization signals in four dimensions including space and time. Because protein localization often correlates with protein activation state, based on accurate PLP, we further propose two novel tools: digital activation (DA) and digital inactivation (DI) to digitally activate and inactivate a protein, in order to observing the response of the predicted protein localization. Compared with genetic approaches, these tools allow precise spatial and temporal control. A comprehensive experiment on six pairs of proteins shows that 4DR-GAN achieves higher-quality PLP than Pix2Pix, and the DA and DI responses are consistent with the known protein functions. The proposed PLP method helps simultaneously visualize additional proteins, and the developed DA and DI tools provide guidance to study localization-based protein functions.

Availability and implementation
The open-source code is available at https://github.com/YangJiaoUSA/4DR-GAN.

Supplementary information
Supplementary data are available at Bioinformatics online.
Deep learning of protein sequence design of protein–protein interactions
Authors: Syrlybaeva Raulia , Strauch Eva-Maria 
Published: November 2022

AbstractMotivationAs more data of experimentally determined protein structures are becoming available, data-driven models to describe protein sequence–structure relationships become more feasible. Within this space, the amino acid sequence design of protein–protein interactions is still a rather challenging subproblem with very low success rates—yet, it is central to most biological processes.ResultsWe developed an attention-based deep learning model inspired by algorithms used for image-caption assignments to design peptides or protein fragment sequences. Our trained model can be applied for the redesign of natural protein interfaces or the designed protein interaction fragments. Here, we validate the potential by recapitulating naturally occurring protein–protein interactions including antibody–antigen complexes. The designed interfaces accurately capture essential native interactions and have comparable native-like binding affinities in silico. Furthermore, our model does not need a precise backbone location, making it an attractive tool for working with de novo design of protein–protein interactions.Availability and implementationThe source code of the method is available at https://github.com/strauchlab/iNNterfaceDesignSupplementary informationSupplementary data are available at Bioinformatics online.
Sibling Separation: Learning from Those with Former Foster Care Experiences
Authors: Wojciak Armeda Stevenson , Tomfohrde Olivia , Simpson Jessica E , Waid Jeffrey 
Published: November 2022

Abstract
Sibling relationships of youth in foster care are often complicated as many youth are separated from their sibling(s) at one point or another. Quantitative studies have identified ways in which sibling placement influences youth outcomes. Fewer qualitative studies have been conducted to understand youth perspectives about their sibling relationships. The purpose of this qualitative study was to examine sibling relationships and sibling separation amongst adults with prior foster care experience. Thematic analysis indicated two overarching themes: ‘Sibling Separation was Common’ and ‘Effects of Sibling Separation’. Each theme was comprised of multiple sub-themes that are discussed in detail and explored through an ambiguous loss lens. Recommendations and implications for supporting sibling relationships for youth in care are provided.
Agonistic/antagonistic properties of lactones in food flavors on the sensory ion channels TRPV1 and TRPA1
Authors: Ogawa Yukino , Zhou Lanxi , Kaneko Shu , Kusakabe Yuko 
Published: November 2022

Abstract
Flavor compounds provide aroma and sensations in the oral cavity. They are not present alone in the oral cavity, but rather in combination with several other food ingredients. This study aimed to clarify the relationship between the mixing of pungent flavor compounds and the response of pungent receptors, TRPV1 and TRPA1 channels. We focused on lactones that activate TRPV1 despite their presence in bland foods, such as dairy products and fruits, and analyzed their interaction with receptors using TRPV1- and TRPA1-expressing HEK293 cells. We found that γ-octalactone, γ-nonalactone, and δ-nonalactone activated TRPA1. When mixed with pungent components, some γ- and δ-lactones inhibited capsaicin-mediated TRPV1 responses, and δ-dodecalactone inhibited allyl isothiocyanate-mediated TRPA1 responses. Furthermore, the dose–response relationship of capsaicin and γ-nonalactone to TRPV1 suggests that γ-nonalactone acts as an agonist or antagonist of TRPV1, depending on its concentration. Conversely, γ-nonalactone and δ-dodecalactone were found to act only as agonists and antagonists, respectively, against TRPA1. These results suggest that lactones in foods may not only endow food with aroma, but also play a role in modulating food pungency by acting on TRPV1 and TRPA1. The dose–response relationships of a mixture of flavor compounds with TRPV1 and TRPA1 provide insights into the molecular physiological basis of pungency that may be the cornerstone for developing new spice mix recipes.
Rhythm monitoring, success definition, recurrence, and anticoagulation after atrial fibrillation ablation: results from an EHRA survey
Authors: Schwab Ana Carolina , Anic Ante , Farkowski Michal M , Guerra Jose , Iliodromitis Konstantinos E , Jubele Kristine , Providencia Rui , Chun Julian K R , Boveda Serge 
Published: November 2022

AbstractAtrial fibrillation (AF) is a major challenge for the healthcare field. Pulmonary vein isolation is the most effective treatment for the maintenance of sinus rhythm. However, clinical endpoints for the procedure vary significantly among studies. There is no consensus on the definition of recurrence and no clear roadmap on how to deal with recurrences after a failed ablation. The purpose of this study was to perform a survey in order to show how clinicians currently approach this knowledge gap. An online survey, supported by the European Heart Rhythm Association (EHRA) Scientific Initiatives Committee, was conducted between 1 April 2022 and 8 May 2022. An anonymous questionnaire was disseminated via social media and EHRA newsletters, for clinicians to complete. This consisted of 18 multiple-choice questions regarding rhythm monitoring, definitions of a successful ablation, clinical practices after a failed AF ablation, and the continuance of anticoagulation. A total of 107 replies were collected across Europe. Most respondents (82%) perform routine monitoring for AF recurrences after ablation, with 51% of them preferring a long-term monitoring strategy. Cost was reported to have an impact on the choice of monitoring strategy. Self-screening was recommended by most (71%) of the respondents. The combination of absence of symptoms and recorded AF was the definition of success for most (83%) of the respondents. Cessation of anticoagulation after ablation was an option mostly for patients with paroxysmal AF and a low CHA2DS2-VASc score. The majority of physicians perform routine monitoring after AF ablation. For most physicians, the combination of the absence of symptoms and electrocardiographic endpoints defines a successful result after AF ablation.