bluuebunny/crossref_metadata_2025_split huggingface dataset:
Viewpoint and metaphor in culture*
Authors: Lu Wei-lun 
Published: August 2022

Abstract
The chapter presents an in-depth analysis of the language of death in Chinese and discusses the relation between language and occupation as a social factor in analyzing the language of death. In this chapter, I address in what specific ways Cognitive Linguistics may serve as a useful analytical framework in studying Chinese idioms used in funerals, in an attempt to uncover cultural elements and viewpoint structure in communicating death. The study introduces basic constructs in Cognitive Linguistics which could be used for such an analysis, and applies this CL machinery to analyzing three selected groups of four-character eulogistic idioms used at funerals in Taiwan. The analysis shows that, in addition to Conceptual Metaphor Theory, which has been considered the classic CL tool for studying abstract concepts like death, the subjectivity/objectivity distinction in Cognitive Grammar may also be employed as a complementary and useful theoretical construct in studying the language of death, as it helps identify the special characteristics of the eulogistic idioms for teachers as a special profession in the Chinese culture.
Narrative experiences of metaphor
Authors: Gerrig Richard J. , Shawver Zared R. 
Published: August 2022

Abstract
This chapter discusses the impact of narrative contexts on readers’ experiences of metaphor. We
begin by reviewing extant theories of metaphor processing to offer an analysis of contextual effects on readers’
metaphor understanding. Next, we outline a dual process perspective that suggests how readers’ experiences of metaphor
are guided by both intuitive and reflective processes. We suggest that the separate function of those processes may
transform readers’ experiences of metaphor quality. Finally, we explore readers’ individual responses to metaphors as
a product of their accumulation of knowledge through distinct life experiences. Throughout the chapter, we support our
analyses with examples from the Pulitzer Prize winning novel Less (Greer, 2017).
Between embodiment and usage
Authors: Hampe Beate 
Published: August 2022

Abstract
This chapter investigates the roles of embodied experience and experienced language use as
motivating factors in the emergence of an open set of closely related and partially conventionalized figurative
expressions: up to one’s eyes in debt, up to one’s ears in a mess, etc. The case study reported
analyzes 276 instantiations of the low-level construction [up to X N: body-part,
poss. in Y N: mass], also referred to here as the “immersion schema”. The
multimodal data are randomly taken from U.S. television as documented in the UCLA Newscape Archive, a
component of the RedHen Lab, and accessed via the Erlangen corpus NewsScape English v.5. To
investigate dominant usage patterns, the case study employs an adapted “covarying collexeme analysis” capturing the
co-varying lexical meanings contributed by X and Y. This is complemented by coarse-grained analyses of 54 co-speech
gestures in the corpus data that are co-expressive with instantiations of the immersion schema. Identifying two major
subschemas, the case study shows how figurative, i.e. metonymical and metaphorical, instantiations of the immersion
schema draw on the conceptual and formal framework provided by formally identical ‘literal’ instantiations verbalizing
actual bodily immersion experiences. To capture the relations in this network of instantiations and account for the
productivity of the schema – especially the variation and creativity to be observed with its figurative
instantiations – the chapter introduces the dynamic, usage- and construction-based notion of “idiom set”.
Metaphors and meaning-making in young people’s talk about climate change
Authors: Deignan Alice , Semino Elena 
Published: August 2022

Abstract
Climate change is of especial relevance to young people, yet studies have found that there is no
consistent approach to teaching about it in terms of either scientific facts or societal implications. In the UK, it
is taught in different elements of the curriculum, but as knowledge to be tested, and rarely if ever as perhaps the
most urgent issue facing our species. We explored young people’s understandings of climate change through a metaphor
analysis of 41 group interviews with school students in the north of England. Our analysis supports Gibbs’ view of
metaphor as dynamic, embodied and hugely powerful in thought and language, and also highlights its potential for
spreading misinformation.
Conceptual blending and memes
Authors: Coulson Seana 
Published: August 2022

Abstract
Conceptual blending involves the use of cognitive mappings to guide the combination of concepts.
Here I show how blended cognitive models promote progressive alignment when reasoners integrate concepts from
superficially unrelated domains, thus facilitating analogical inference. Describing conceptual blending in political
cartoons and image macros exchanged on social media, I explore how analogical reasoning processes are brought to bear
on affectively charged social issues. As multimodal constructions, memes activate schematic meanings that integrate
with specific concepts evoked by the images and the textual elements as conceptual blending affords memes their
generative capacity.
Relevance theory perspectives on web-mediated communication
Authors: Forceville Charles , Sánchez-Querubín Natalia 
Published: August 2022

Abstract
Cognitivist approaches are in need of an inclusive theory of communication. Relevance theory (RT)
is well-equipped to develop into such a theory, but to fulfill its promise it should be able to accommodate
digital-platform-based exchanges. Since communication via digital platforms often takes place between people who do
not, or hardly, know each other personally, the issue of trustworthiness becomes much more important than in the
face-to-face variety that is RT’s paradigmatic type of communication. Using TripAdvisor as an illustrative example, we
make suggestions for how RT can handle, and provide useful perspectives on, communication via digital platforms,
paying specific attention to the creation of trust.
Language happens
Authors: Spivey Michael J. 
Published: August 2022

Abstract
This chapter provides a brief tour through the history of psycholinguistics with a running thread
that follows the work of Raymond W. Gibbs, Jr. and an evolution toward more ecologically valid approaches and
interactive embodied perspectives on how language works. Rather than treating language as though it were a static
object with parts that invite removing and analyzing, contemporary psycholinguists and cognitive
scientists are treating language more like an event that happens over time. This shift in perspective
requires different types of theory formation, different types of experimental methods and different types of
statistical analyses. As this paradigm shift progresses, more of the field may begin to see language not as a set of
rules that a human brain contains inside itself but instead as an activity that people engage in together. The
Gibbsian research program has played an important role in this evolution of the field.
Forging relationships in psychotherapeutic interaction
Authors: Muntigl Peter 
Published: August 2022

Abstract
Creating and maintaining a positive therapist-client relationship is considered to be essential in achieving
therapeutic success, whereas damage to this relationship and the inability to repair disaffiliative episodes may have
detrimental effects. So far, very little research has focused on how the relationship between therapists and clients is
accomplished and negotiated through talk. Drawing from research in conversation analysis/ CA, I examine a diverse corpus of
video-taped psychotherapy sessions to explore the interactional practices that may be ‘typically’ used to forge and create
potential shifts in relationships and affiliation. In this paper, I not only set out to illustrate the central role that talk
and conduct plays in therapist-client relationship-building, but also how the relationship is an ongoing interactional
achievement.
What about you?
Authors: Guxholli Aurora , Voutilainen Liisa , Peräkylä Anssi 
Published: August 2022

Abstract
In psychotherapy, the envisioned change in patient’s feelings, thoughts and behaviour often targets their
self-experience. This threatens simultaneously the patient’s face and the therapeutic relation. We focus on face-threats in
transformative question-answer sequences where therapists question the patient’s face by shifting the focus of talk on
patient’s self and in response patients confront the dilemma of having to choose between saving their face or the relation
with the therapist. Data come from 47 video recorded psychotherapy sessions conducted in Albanian language. Analysis shows
that patients resist the transformation but only after making considerable efforts to save both their face and the therapeutic
relation. We conclude that challenging the patient’s self-experience is a delicate task in terms of the therapeutic
relation.
The role of semi-responsive answers for relationship building in coaching
Authors: Winkler Oliver 
Published: August 2022

Abstract
This paper discusses the role of semi-responsive answers of clients for relationship building in coaching. Coaching
is a process-oriented type of counseling in which a coach and a coachee collaboratively work on solving a particular worklife
or daily life related concern of the coachee. The paper aims at identifying and analyzing semi-responsive answers of coachees
(second pair part) as reactions to initiating turns of coaches (first pair part). It is hypothesized that semi-responsive
answers are of particular relevance for any coaching process as they reveal ambivalences, (inner) conflicts, uncertainties
and/or opposition on the client’s side which ought to be noticed and appropriately addressed by the coach. A conversation
analysis manual was developed in order to systematically identify and analyze the linguistic characteristics of
semi-responsiveness in coachee’s answers. First, theoretical and methodological aspects regarding a conversation analysis
manual to study structures of social interaction are discussed. Second, a code-system to identify semi-responsive answers is
demonstrated. Finally, based on the transcribed data, semi-responsive answers are analyzed with respect to how they are
addressed by the coaches in third position. The data consists of 21 face-to-face coaching sessions (64 hours) in Swiss and
Standard German. The analysis demonstrates that semi-responsive answers are both a valuable source of information and a
challenge as they require the coach to maintain a balance between facilitating the process and maintaining a good relationship
with the client.
Working alliance and client design as discursive achievements in first sessions of executive coaching
Authors: Graf Eva-Maria , Jautz Sabine 
Published: August 2022

Abstract
While outcome research has convincingly proven that the working alliance is a key success factor in coaching,
qualitative process-oriented insights are so far missing. We strive to fill this gap by shifting the focus from ‘the working
alliance is crucial’ to ‘how is the working alliance discursively accomplished in authentic coaching interactions?’. The
guiding assumption is that the coaching alliance emerges locally as a joint product of coach and clients’ negotiation process.
We analyze the first sessions of two different coach-client dyads from the executive coaching protocol Emotional Intelligentes Coaching within an integrative discourse analytic framework. Our analyses demonstrate
that the coach displays a specific ‘client design’ in the local discursive management of the working alliance.
Relationship building in oncological doctor-patient interaction
Authors: Günthner Susanne 
Published: August 2022

Abstract
This paper studies practices of relationship building between oncologists and their patients during consultations
when a diagnosis of malignancy is communicated. The analysis – with its focus on physicians’ uses of terms of address – aims
to provide a better understanding of the sequential construction of the doctor-patient relationship in highly sensitive
consultations.
In our data, oncologists frequently address their patients by name – even when recipiency is not at issue. They use
this communicative resource to contextualize the heightened attention they are giving their patients and to lend the
interaction a more personal quality.
Drawing on methods of Conversation Analysis and Interactional Linguistics, I will show that relationship building
is an ongoing task doctors are confronted with in the process of interactions.
Building (dis-)affiliative medical relationships through interactional practices of knowledge management
Authors: Džanko Minka 
Published: August 2022

Abstract
The goal of the current contribution is to consider and compare different aspects of (dys-)functional knowledge
management indexed by a conflict involving epistemics in Bosnian and German language. My research draws on 42 audiotaped
conversations of Bosnian and German doctors with their patients. The data was analyzed using Conversation Analysis.
This paper focuses first on the Bosnian data in which patients display an inability to provide the requested
information or display reduced access to information they are accountable for (Heritage
2012). Interactional practices of dysfunctional knowledge management lead to misunderstandings, a break in the
progressivity of the interaction, or face threatening actions such as criticism and disciplining of the patient (Holly 2001). In contrast, a focus on the German data shows a more patient-centered
approach which entails more active patient participation. Furthermore, German patients display higher medical knowledge and
more personal responsibility.
Twitter as a helping medium
Authors: Kabatnik Susanne 
Published: August 2022

Abstract
This article analyzes the German discourse space #depression on Twitter regarding relationship building. The data
basis is a corpus of German #depression tweets as well as follow-up communication. In the German #depression discourse space,
users initiate social exchange. This is realized interactively through narration, the formulation of wishes, questions or
requests, which evoke further reactions of the community. The basis for the relationship building, which will be demonstrated
in a case study, are the technical affordances provided by the medium and the resulting potential for interaction.
Study of growth and broadband FMR spectroscopy in PLD grown Y3Fe5O12/Gd3Ga5O12 thin films
Authors: Satapathy S , Pant R P , Maurya K K 
Published: August 2022

Abstract
We report the structural and magnetization dynamics of pulsed laser ablated Y3Fe5O12 (YIG) thin films grown on gadolinium gallium garnet (GGG[110]) substrate. The co-planar waveguide ferromagnetic resonance measurement was performed to study the thickness and inhomogeneity effect on damping constant. We also estimated the effective demagnetization (

4
π

M

eff

) value which was lower than that of single-crystalline bulk YIG. A detailed line width analysis revealed the significant two-magnon scattering and inhomogeneity contribution to damping which varied for different thickness films. The Gilbert damping constant (α) of the grown film was found to be lowest in the case of 100 nm film (≈3 × 10−4), and the corresponding inhomogeneous broadening (ΔH
O) was recorded to be 77 Oe. Further angular measurements on 100 nm thin film revealed the presence of strong uniaxial magnetic anisotropy field of 735 Oe at 10 GHz RF frequency.
Enhanced Stark effect in Dirac materials
Authors: Pedersen Thomas Garm , Cornean Horia D 
Published: August 2022

Abstract
The Stark effect in confined geometries is sensitive to boundary conditions. The vanishing wave function required on the boundary of nanostructures described by the infinite-barrier Schrödinger equation means that such states are only weakly polarizable. In contrast, materials described by the Dirac equation are characterized by much less restrictive boundary conditions. Focusing on honeycomb-lattice armchair nanoribbons, we demonstrate an enhancement by more than an order of magnitude. This result follows from an exact Dirac polarizability valid for arbitrary mass, momentum and ribbon width. Moreover, an exact expression for the frequency-dependent dynamic polarizability has been derived. Our analytic Dirac results have been validated by comparison to numerical results from atomistic models.
Floquet topological properties in the non-Hermitian long-range system with complex hopping amplitudes
Authors: Guo Gang-Feng , Wang Yan , Bao Xi-Xi , Tan Lei 
Published: August 2022

Abstract
Non-equilibrium phases of matter have attracted much attention in recent years, among which the Floquet phase is a hot point. In this work, based on the periodic driving non-Hermitian model, we reveal that the winding number calculated in the framework of the Bloch band theory has a direct connection with the number of edge states even though the non-Hermiticity is present. Further, we find that the change of the phase of the hopping amplitude can induce the topological phase transitions. Precisely speaking, the increase in the value of the phase can bring the system into a topological phase with a large topological number. Moreover, it can be unveiled that the introduction of the purely imaginary hopping term brings an extremely rich phase diagram. In addition, we can select the even topological invariant exactly from the unlimited winding numbers if we only consider the next-nearest neighbor hopping term. Here, the results obtained may be useful for understanding the periodic driving non-Hermitian theory.
Particle detection by means of neural networks and synthetic training data refinement in defocusing particle tracking velocimetry
Authors: Dreisbach Maximilian , Leister Robin , Probst Matthias , Friederich Pascal , Stroh Alexander , Kriegseis Jochen 
Published: August 2022

Abstract
The presented work addresses the problem of particle detection with neural networks (NNs) in defocusing particle tracking velocimetry. A novel approach based on synthetic training data refinement is introduced, with the scope of revising the well documented performance gap of synthetically trained NNs, applied to experimental recordings. In particular, synthetic particle image (PI) data is enriched with image features from the experimental recordings by means of deep learning through an unsupervised image-to-image translation. It is demonstrated that this refined synthetic training data enables the neural-network-based particle detection for a simultaneous increase in detection rate and reduction in the rate of false positives, beyond the capability of conventional detection algorithms. The potential for an increased accuracy in particle detection is revealed with NNs that utilise small scale image features, which further underlines the importance of representative training data. In addition, it is demonstrated that NNs are able to resolve overlapping PIs with a higher reliability and accuracy in comparison to conventional algorithms, suggesting the possibility of an increased seeding density in real experiments. A further finding is the robustness of NNs to inhomogeneous background illumination and aberration of the images, which opens up defocusing PTV for a wider range of possible applications. The successful application of synthetic training-data refinement advances the neural-network-based particle detection towards real world applicability and suggests the potential of a further performance gain from more suitable training data.
Simultaneous measurement of pressure and temperature in a supersonic ejector using FBG sensors
Authors: Hegde Gautam , Himakar Balaji , Rao M V Srisha , Hegde Gopalkrishna , Asokan S 
Published: August 2022

Abstract
In this work, we have demonstrated the use of fiber Bragg grating (FBG) sensors for simultaneous measurement of wall static pressure and temperature in a supersonic ejector. Supersonic ejectors are ground-based high-speed aerodynamic test facilities characterized by harsh conditions, such as high pressure and temperature gradients. An FBG-based sensor setup was developed consisting of a pressure measuring bare FBG and a specially designed pressure-insensitive FBG temperature probe that can be mounted on the wall of the supersonic ejector. The FBG temperature probe was used for temperature measurement as well as temperature compensation of the pressure measuring FBG sensor. Wall static pressure measurements in the supersonic ejector were carried out at different tank pressures and Mach number flows. The FBG pressure measurements were validated with those of standard piezoresistive-based sensor measurements. Both responses were found to match closely, with FBG sensors having a faster response time and higher pressure resolution. Fluid structure interaction simulation was carried out in Comsol Multiphysics to understand the interaction of high-speed turbulent flow with FBG sensor. The FBG strain profile due to flow-induced stress and its dependence on flow pressure was studied. A detailed analysis of the effect of preceding fiber length on FBG pressure measurement was carried out. FBG sensors, due to their miniature size, ability to withstand harsh environments and multi-parameter sensing capability, can be used in ground-based aerodynamic test facilities with minimal intrusion into the flow.
Design of plasmonic enhanced all-optical phase-change memory for secondary storage applications
Authors: Lian Xiaojuan , Liu Cunhu , Fu Jinke , Liu Xiaoyan , Ren Qingying , Wan Xiang , Xiao Wanang , Cai Zhikuang , Wang Lei 
Published: August 2022

Abstract
Phase-change optical device has recently gained tremendous interest due to its ultra-fast transmitting speed, multiplexing and large bandwidth. However, majority of phase-change optical devices are only devoted to on-chip components such as optical tensor core and optical main memory, while developing a secondary storage memory in an optical manner is rarely reported. To address this issue, we propose a novel phase-change optical memory based on plasmonic resonance effects for secondary storage applications. Such design makes use of the plasmonic dimer nanoantenna to generate plasmonic resonance inside the chalcogenide alloy, and thus enables the performance improvements in terms of energy consumption and switching speed. It is found that choosing height, radius, and separation of the plasmonic nanoantenna as 10 nm, 150 nm, and 10 nm, respectively, allows for a write/erase energies of 100 and 240 pJ and a write/erase speed of 10 ns for crystallization and amorphization processes, respectively. Such performance merits encouragingly prevail conventional secondary storage memories and thus pave a route towards the advent of all-optical computer in near future.