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MicroIC enables display attributes unattainable from polycrystalline thin‐film transistors, and the complimentary metal‐oxide semiconductor (CMOS) microICs support a wide range of applications beyond driving pixels. Integrating sensors within displays can add value to products, reduce costs and improve performance versus conventional solutions. As evidenced by touch and display integration in mobile displays via TDDI ICs, in‐cell sensing can reduce cost and improve performance to levels that are not available with all display types. Capacitive touch, optical touch, 3D scanning, and proximity sensing can also benefit from the inherent coordination between sensors and display. We present multiple sensing architectures and demonstrations of integration within microLED displays and describe CMOS microIC circuits for touch sensing applications. With diverse heterogenous semiconductor technology tightly woven into displays, the potential for intuitive gesture controls, adaptive interfaces, and enhanced sensory feedback paves the way for more natural and effortless interactions between humans and machines. [ABSTRACT FROM AUTHOR]

Background: Parkinson's disease (PD) can affect social interaction and communication as well as motor and cognitive processes. Speech is affected in PD, as is the control of voluntary eye movements which are thought to play an important role in 'turn taking' in conversation. Aims: This study aimed to measure eye movements during spoken conversation in PD to assess whether differences in patterns of eye gaze are linked to disrupted turn taking and impaired communication efficiency. Methods & Procedure: Eleven participants with mild PD and 14 controls completed a two‐player guessing game. During each 3 min game turn, one of the players had to guess the names of as many objects as possible based only on the other player's description. Eye movements were recorded simultaneously in both participants using mobile eye trackers along with speech onset and offset times. Outcomes & Results: When people with PD played the role of describer, the other player guessed fewer objects compared to when controls described objects. When guessing objects, people with PD performed just as well as controls. Analysis of eye fixations showed that people with PD made longer periods of fixation on the other player's face relative to controls and a lower number of such 'gaze on face' periods. Conclusions & Implications: A combination of oculomotor, cognitive and speech abnormalities may disrupt communication in PD. Better public awareness of oculomotor, speech and other deficits in the condition could improve social connectedness in people with Parkinson's. WHAT THIS PAPER ADDS: What is already known on this subject?: Parkinson's disease is known to affect the control of voluntary eye movements. Direction of eye gaze is important in spoken conversation as a cue to turn‐taking, but no studies have examined whether eye movements are different during communication in people with Parkinson's. What this paper adds to existing knowledge?: People with Parkinson's showed longer periods of eye fixation during conversations compared to controls. Delays and overlaps between speech turns were also affected in patients. What are the clinical implications of this work?: Better knowledge of the effect of the disease on eye gaze control amongst clinicians may help improve communication and social connectedness for patients in the future. [ABSTRACT FROM AUTHOR]

While emotional transmission is a well‐documented phenomenon, the contagion of happiness, specifically as a positive emotion, has received limited research attention. This study utilizes data from the 2015 Chinese General Social Survey (CGSS2015) to analyse the effects of happiness contagion among different individual groups in urban communities. Findings indicate that individuals with positive personalities and social attitudes are more susceptible to happiness contagion. Regarding personal and job attributes, the elderly, the highly educated, the married, or people who are religious, have high incomes, work in non‐state‐owned enterprises, or work flexibly tend to receive more happiness from their neighbours. Moreover, residents living in economically developed areas exhibit a greater receptivity to happiness contagion. The paper discusses policy implications of the results. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement. [ABSTRACT FROM AUTHOR]

The use of social contacts in the labor market is widespread. This paper investigates the association between personal connections and hiring probabilities as well as re‐employment outcomes of displaced workers in Portugal. The hiring analysis indicates that displaced workers with a direct link to a firm through a former coworker are three times more likely to be hired compared to workers displaced from the same closing event who lack such a tie. Moreover, we show that successful displaced workers with a connection in the hiring firm have higher entry‐level wages and enjoy greater job security. [ABSTRACT FROM AUTHOR]

Humour is an integral part of human interactions, but it is not clear how it contributes to creativity in innovation. This paper provides new insights into the emerging literature about the impact of humour on creativity in innovation by conceptualizing humour as a situation‐specific state and using a mixed methods research design to investigate the use and impact of humour in two specific innovation contexts: idea generation by customers and collaboration in innovation teams. Our research makes four important contributions. (1) It suggests and demonstrates the relevance of a situation‐specific humorous mood. (2) It distinguishes between natural and instrumental humour and emphasizes that a purposely induced humorous mood can enhance creativity. (3) It shows that the impact of humour is not limited to a firm's individual employees but can also include external actors, such as customers and interactions between members of innovation teams. (4) It identifies the key drivers and effects of humorous mood in innovation. The findings from two empirical studies are integrated into a framework that captures the key concepts and relationships and that is also used to derive several directions for further research to better understand the effects of humour on creativity in the context of innovation. [ABSTRACT FROM AUTHOR]

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Issue Addressed: The COVID‐19 pandemic bears many similarities to other disasters such as bushfires, earthquakes and floods. It also has distinctive features including its prolonged and recurrent nature and the social isolation induced by pandemic responses. Existing conceptual frameworks previously applied to the study of disaster, such as the Recovery Capitals Framework (RCF), may be useful in understanding experiences of the COVID‐19 pandemic and in guiding agencies and governments tasked with supporting communities. Methods: This paper presents an analysis of interviews conducted with residents of the Australian state of Victoria in 2020–2021. The RCF was used to analyse how participant experiences and well‐being were influenced by seven forms of capital—social, human, natural, financial, built, cultural and political—with particular focus on the interactions between these capitals. Results: Social capital featured most prominently in participants' accounts, yet the analysis revealed important interactions between social and other capitals that shaped their pandemic experiences. The RCF supported a strengths‐based and holistic analysis while also revealing how inequities and challenges were compounded in some cases. Conclusions: Findings can be leveraged to develop effective and innovative strategies to support well‐being and disrupt patterns of compounding inequity. Applying the RCF in the context of COVID‐19 can help to link pandemic research with research from a wide range of disasters. So What?: In an increasingly complex global landscape of cascading and intersecting disasters including pandemics, flexible and nuanced conceptual approaches such as the RCF can generate valuable insights with practical implications for health promotion efforts. [ABSTRACT FROM AUTHOR]

Sociologists tend to see G. H. Mead's conceptualization of self as fundamentally correct. In this paper, we develop a critique of Mead's notion of the self as constituted through social interactions. Our focus will be on Mead's categorial distinction between the socially constructed self and subjective experience, as well as on the tendency of post‐Meadian sociologists to push Mead's position in ever more radical directions. Drawing inspiration from a multifaceted understanding of selfhood that can be found in Husserlian phenomenology, we then propose that the most basic level of selfhood is anchored in irreducible subjective experience. [ABSTRACT FROM AUTHOR]

This paper explores how participants in a Swedish secondary school do gender talk with comics. Swedish schools are tasked with working with gender, but this can be a challenge for many teachers, and finding materials to work with gender aspects can be difficult. Meanwhile, literary research on comics has shown them to be a potential tool for problematising gender, but little educational research has investigated the gender discussions that comics can promote. Therefore, using conversation‐analytical methodology, we have documented situated classroom talk through video observations, focusing on the social construction of gender. Five excerpts are shown, where different aspects of gender talk are displayed and discussed. Results indicate that although students deconstruct and criticise gendered binaries in characteristics and behaviour from comics' imagery, this critique remains superficial, revolving around the hypersexualised body imagery of the muscular superhero the Phantom or the outdated femininity of the girly Daisy Duck. Although comics present an opportunity for discussions of norm critique in the classroom, we suggest that more social‐realistic comics, wherein gender roles are more subtle and nuanced, be used for furthering the research on this topic and allowing students more width when it comes to deconstructing gender binaries. [ABSTRACT FROM AUTHOR]

This paper addresses the nexus between contingency, social engagement and change, through investigating the potential of severe ("disruptive") contingency to bring about new forms of joint agency. By challenging Boltanski's notion of existential tests (which can only be experienced in isolation), the paper argues that social actors can experience disruptive contingent events in an inherently intersubjective manner. Although they severely hinder social interaction, disruptive contingent events enable a possibility of what might be called "negative common knowledge" between social actors which in turn renders certain societal norms meaningless. This possibility is mediated through processes of mutual engagement (calls between actors) that could, further, be transformed into a new "norm circle" (Dave Elder‐Vass). Social domination – in particular its "complex" variety – in this context appears as the obstructing of such transformation. A recent political episode in Serbia is analyzed to demonstrate the emancipatory potential of contingency and the logic of complex domination. [ABSTRACT FROM AUTHOR]

Our lives are made of social interactions which can be recorded through personal gadgets as well as sensors capturing ubiquitous and social data. This type of data, such as spatio‐temporal data from the real‐time location of people, for example, can then be used for inferring interactions which can be translated into behavioural patterns. In this paper, we consider the automatic discovery of exceptional social behaviour from spatio‐temporal interaction data, focusing on two areas: exceptional subgroups and spatio‐temporal outliers – both in the form of descriptive patterns. For that, we propose a method for exceptional social behaviour discovery, combining subgroup discovery and network science methods for identifying behaviour that deviates from the norm. We also propose the use of two outlier detection metrics for identifying outliers, namely the Local Outlier Factor (LOF) and the Voronoi area. We applied the proposed method on synthetic data as well as two real datasets containing location data from children playing in the school playground. Our results indicate that this is a valid approach which is able to obtain meaningful knowledge from the data. [ABSTRACT FROM AUTHOR]

Editorial for the Special Issue of Archaeometry 'Tackling Recycling in the Past'. The practice of recycling has undoubtedly become one of the most important strategies to build a long‐term sustainable society in the modern world. However, both the perception and practice of recycling can be traced back to prehistory through various archaeological records. Objects made of stone, jade, mortar, textiles, pottery and bones display evidence of physical reshaping and repair, as do objects of metal and glass. Metal and glass, moreover, are materials which can be melted and recast, freeing ancient people from the limitations of the physical form of the original object. Illustrating and understanding patterns of recycling and the underlying social organization can significantly advance our knowledge of ancient people, their economic, political and cultural motivations for recycling, as well as the broad interaction between the social and material world. Though the issue of recycling is not novel in the discussions and debates of the archaeological circle, new theoretical frameworks, methodologies and archaeometric data encourage us to revisit the topic in this special issue. In this editorial, we consider what recycling means in the past, and why these papers are vital. [ABSTRACT FROM AUTHOR]

This paper studies how the strength of social ties is affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction frequency but also the social capital for all agents. We also show that the equilibrium frequency of interactions is lower than the efficient one. Using a unique geocoded data set of friendship networks among adolescents in the United States, we structurally estimate the model and show that indeed agents socially interact less than that at the first best optimum. Our policy analysis suggests that, at the same cost, subsidizing social interactions yield a higher total welfare than subsidizing transportation costs. [ABSTRACT FROM AUTHOR]

Background: The impact of hearing impairment is typically studied in terms of its effects on speech perception, yet this fails to account for the interactive nature of communication. Recently, there has been a move towards studying the effects of age‐related hearing impairment on interaction, often using referential communication tasks; however, little is known about how interaction in these tasks compares to everyday communication. Aims: To investigate utterances and requests for clarification used in one‐to‐one conversations between older adults with hearing impairment and younger adults without hearing impairment, and between two younger adults without hearing impairment. Methods & Procedures: A total of 42 participants were recruited to the study and split into 21 pairs, 10 with two younger adults without hearing impairment and 11 with one younger adult without hearing impairment and one older participant with age‐related hearing impairment (hard of hearing). Results from three tasks—spontaneous conversation and two trials of a referential communication task—were compared. A total of 5 min of interaction in each of the three tasks was transcribed, and the frequency of requests for clarification, mean length of utterance and total utterances were calculated for individual participants and pairs. Outcomes & Results: When engaging in spontaneous conversation, participants made fewer requests for clarification than in the referential communication, regardless of hearing status/age (p ≤ 0.012). Participants who were hard of hearing made significantly more requests for clarification than their partners without hearing impairment in only the second trial of the referential communication task (U = 25, p = 0.019). Mean length of utterance was longer in spontaneous conversation than in the referential communication task in the pairs without hearing impairment (p ≤ 0.021), but not in the pairs including a person who was hard of hearing. However, participants who were hard of hearing used significantly longer utterances than their partners without hearing impairment in the spontaneous conversation (U = 8, p < 0.001) but not in the referential communication tasks. Conclusions & Implications: The findings suggest that patterns of interaction observed in referential communication tasks differ to those observed in spontaneous conversation. The results also suggest that fatigue may be an important consideration when planning studies of interaction that use multiple conditions of a communication task, particularly when participants are older or hard of hearing. WHAT THIS PAPER ADDS: What is already known on this subject: Age‐related hearing impairment is known to affect communication; however, the majority of studies have focused on its impact on speech perception in controlled conditions. This indicates little about the impact on everyday, interactive, communication. What this study adds to the existing knowledge: We investigated utterance length and requests for clarification in one‐to‐one conversations between pairs consisting of one older adult who is hard of hearing and one younger adult without hearing impairment, or two younger adults without hearing impairment. Results from three tasks (two trials of a referential communication task and spontaneous conversation) were compared. The findings demonstrated a significant effect of task type on requests for clarification in both groups. Furthermore, in spontaneous conversation, older adults who were hard of hearing used significantly longer utterances than their partners without hearing impairment. This pattern was not observed in the referential communication task. What are the potential or actual clinical implications of this work?: These findings have important implications for generalizing results from controlled communication tasks to more everyday conversation. Specifically, they suggest that the previously observed strategy of monopolizing conversation, possibly as an attempt to control it, may be more frequently used by older adults who are hard of hearing in natural conversation than in a more contrived communication task. [ABSTRACT FROM AUTHOR]

Multiphysics inversion exploits different types of geophysical data that often complement each other and aims to improve overall imaging resolution and reduce uncertainties in geophysical interpretation. Despite the advantages, traditional multiphysics inversion is challenging because it requires a large amount of computational time and intensive human interactions for preprocessing data and finding trade‐off parameters. These issues make it nearly impossible for traditional multiphysics inversion to be applied as a real‐time monitoring tool for geological carbon storage. In this paper, we present a deep learning (DL) multiphysics network for imaging CO2 saturation in real time. The multiphysics network consists of three encoders for analysing seismic, electromagnetic and gravity data and shares one decoder for combining imaging capabilities of the different geophysical data for better predicting CO2 saturation. The network is trained on pairs of CO2 label models and multiphysics data so that it can directly image CO2 saturation. We use the bootstrap aggregating method to enhance the imaging accuracy and estimate uncertainties associated with CO2 saturation images. Using realistic CO2 label models and multiphysics data derived from the Kimberlina CO2 storage model, we evaluate the performance of the deep learning multiphysics network and compare its imaging results to those from the deep learning single‐physics networks. Our modelling experiments show that the deep learning multiphysics network for seismic, electromagnetic, and gravity data not only improves the imaging accuracy but also reduces uncertainties associated with CO2 saturation images. Our results also suggest that the deep learning multiphysics network for the non‐seismic data (i.e., electromagnetic and gravity) can be used as an effective low‐cost monitoring tool in between regular seismic monitoring. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study was to investigate the role of human factors in pelvic exenteration and how team performance is optimized in the preoperative, intraoperative and postoperative phases. Method: Qualitative analysis of focus groups was used to capture authentic human interactions that reflect real‐world multiprofessional performance. Theatre teams were treated as clusters, with a particular focus group containing participants who worked together regularly. Results: Three focus groups were conducted. Four themes emerged – driving force, technical skills, nontechnical skills and operational aspects – with a total of 16 subthemes. Saturation was reached by group 2, with no new subthemes emerging after this. There was some interaction between the themes and the subthemes. Broadly speaking, driving force led to the development of specialised technical skills and nontechnical skills, which were operationalized into successful service through operational aspects. Conclusion: This study of teams performing pelvic exenteration is the first in the field using this methodology. It has generated rich qualitative data with authentic insights into the pragmatic aspects of developing and delivering a service. In addition, it shows how the themes are connected or 'coupled' in a network, for example technical and non‐technical skills. In a complex system, 'tight coupling' leads to both high performance and adverse events. In this paper, we report the qualitative aspects of high performance by pelvic exenteration teams in a complex sociotechnical system, which depends on tight coupling of several themes. [ABSTRACT FROM AUTHOR]

Problem‐oriented teaching (POT) activities are important in classroom instruction. The level of student response can be influenced by different teacher behaviours in POT. However, the characteristics of teachers' multimodal behaviours at different levels of response are unclear. This study applied epistemic network analysis to explore the characteristics of teachers' multimodal behaviours in POT with different response levels. Using 256 POT segments from 12 classroom teaching videos in primary and secondary schools, this study found that authentic questions and iconic gestures occupied a central position in multimodal behaviours. The concomitant use of multimodal behaviours and the flexibility in eye contact could improve the response levels of students. These findings help understand how teachers' multimodal behaviours can promote students' responses. Practitioner notesWhat is already known about this topic Various behaviours have been shown to impact learners' response, such as teachers' responses to students and teachers' non‐verbal behaviours.Epistemic network analysis can be used to analyse the structure of the connections between cognitive, social and interaction data.What this paper adds This study analyses the characteristics of teachers' multimodal behaviours during problem‐oriented activities.It also compares the salient properties of non‐verbal, verbal and multimodal behavioural networks generated by interactive fragments of students' responses of different cognitive levels.Implications for practice and policy Teachers should ask more authentic questions in the classroom to promote in‐depth thinking processes in students.The appropriate coordination of multimodal behaviours by teachers is crucial to promote the cognitive level of students' responses.Upon making eye contact with students, teachers should also use iconic gestures and be flexible regarding the use of eye contact. [ABSTRACT FROM AUTHOR]

This paper presents two studies in which a peer‐assisted learning condition was compared to an individual learning condition. The first study used the paired‐associates learning task and the second study used an incrementally more complex task—the remote associate test. Participants in the peer‐assisted learning condition worked in groups of four. They had to solve a given problem individually and give a first answer before being able to request to see their peers' solutions; then, a second answer was issued. After six sessions of peer‐assisted practice, a final individual test was administered. Peer interaction was found to benefit learning in both studies but the benefit transferred to the final test only in the second study. Fine‐grained behavioral analyses and computational modeling suggested that the benefits of peer interaction were (partially) offset by its costs, particularly increased cognitive load and error exposure. Overall, the superiority of peer‐assisted learning over individual learning was more pronounced in the more complex task and for the more difficult problems in that task. A peer‐assisted learning condition was compared to an individual learning condition. The benefits of peer interaction were (partially) offset by its costs, particularly increased cognitive load and error exposure. The superiority of peer‐assisted learning over individual learning was more pronounced in the more complex task and for the more difficult problems in that task. [ABSTRACT FROM AUTHOR]

Resource extraction relies on human interaction with the underground, often near rural communities. Yet, little research has explored localized, place‐based relationships to the underground and subsequent concerns tied to proposed energy activities. This paper highlights the importance of place in localized risk perceptions of proposed shale exploration in two rural communities in the United Kingdom. Through qualitative case studies we examine how senses of place and place‐based knowledges are shaped by underground landscapes. Further, we explore how these inform local risk perceptions of shale gas exploration. Our findings demonstrate how senses of place and place‐based knowledges in each community are embedded in local rural culture that stretches back multiple generations, and are at least in part rooted in human connections to, and understanding of, the subsurface. Connections between surface and underground aspects of places create concerns about distinctiveness, which heighten residents' perceptions of more generalized shale gas risks. The research findings broaden our understanding of how places encompass both surface and underground landscapes, with significant implications for risk perceptions in energy contexts. These findings raise important questions for incorporating place‐based and plural sets of knowledge in risk management and decision‐making for future underground energy projects that contribute to net‐zero strategies. [ABSTRACT FROM AUTHOR]

Keeping track of what others believe is a central part of human social cognition. However, the social relevance of those beliefs can vary a great deal. Some belief attributions mostly tell us about what a person is likely to do next. Other belief attributions tell us more about a person's social identity. In this paper, I argue that we cope with this challenge by employing two distinct concepts of belief in our everyday social interactions. The epistemic concept of belief is primarily used to keep track of what other people take to be true, and this informs how we predict and interpret their behaviors. The symbolic concept of belief, in contrast, is primarily used as a means of signaling one's social identity to other members of one's community. In turn, community members closely monitor each other's symbolic beliefs as a means of enforcing social norms. [ABSTRACT FROM AUTHOR]

Trust plays a pivotal role in numerous humans' interactions, and it affects relationships ranging from individuals to interstate levels. Any conflict and its resolution can therefore benefit from insights into trust dynamics. The deployment of computational trust management methods and agent technologies provide promising options. They have already been successfully applied in many domains, while in conflict research (and possible resolution policies) they are rather unexplored. This research paper therefore presents an approach that is based on a formalized, anthropocentric trust management method. It deploys it accordingly in agents' simulations to obtain new insights into the dynamics of trust in cooperation–conflict interplay, and to enable derivation of strategies for managing societies to drive them toward desired states. [ABSTRACT FROM AUTHOR]

Gift‐giving is a typical consumer behavior with important implications for consumers and marketers. Accordingly, consumer gift‐giving behavior has received much attention from marketing scholars. We conduct a bibliometric analysis of 237 articles on gift‐giving from the Web of Science database. This analysis identifies the bibliometric attributes of the gift‐giving literature, including its publication trend, influential outlets, impactful articles, prolific scholars, international scope, state of collaboration, and featured topics and themes. Using content analysis, we identify three themes that categorize the consumer gift‐giving literature's key segments: (1) broad and nuanced outlooks of the social side of gift‐giving, (2) the less pleasant side of gift‐giving, and (3) the foundational research on consumer gift‐giving. This paper provides readers with a state‐of‐the‐art overview of consumer gift‐giving literature and identifies opportunities for future gift‐giving research. [ABSTRACT FROM AUTHOR]

Some philosophical and psychological approaches to social interaction posit a powerful explanatory tool for explaining how we navigate social situations: scripts. Scripts tell people how to interact in different situational and cultural contexts depending on social roles such as gender. A script theory of social interaction puts emphasis on understanding the world as normatively structured. Social structures place demands, roles, and ways to behave in the social world upon us, which, in turn, guide the ways we interact with one another and the ways we coordinate our behaviors. In this paper, I explore the phenomenon of coordinated behaviors in social interactions in humans. I argue that looking closely at everyday interactions, for which social coordination is central, strongly points to a fundamental role of scripts for social cognition and interaction. In order to explain some social interactions, like those based on social coordination, we do not need to recourse to mental state attribution. Rather, I argue, scripts are a powerful resource for explaining social interaction and especially coordinated behaviors. Scripts have been neglected in standard approaches to social cognition but are (re‐)gaining attention via the normative turn in social cognition. [ABSTRACT FROM AUTHOR]

This research examines the social actors and interactions that facilitate seminary students' sense of calling. Drawing from 36 in‐depth interviews with first year Masters of Divinity students, we introduce six ideal typical social others who play a formative role in the early stages of a call to ministry: instigators, exemplars, interpreters, affirmers, challengers, and codiscerners. Together, these findings demonstrate that the call to ministry, while deeply personal, emerges through social interactions that facilitate and make plausible a person's sense of calling and that sustain it over time. Extending Richard Pitt's conceptualization of the "horizontal call," this paper argues that social others help evoke and solidify—not merely legitimate—a personal sense of call. This research also highlights differences in the social structuring of call by gender. Despite considerable gains in the ordination of women, we find that many still face obstacles to experiencing and embracing a call to ministry. [ABSTRACT FROM AUTHOR]

This paper theoretically estimates the dynamic pile–soil interaction and the group efficiency factor for pile group in layered soil through energy‐based method. The vertical dynamic interaction of partially embedded single piles and their surrounding layered soil is analytically deduced from Hamilton's principle. Combined with a series of numerical simulations, the soil attenuation factor from energy method is modified for adapting to the wave speed variation in various layers. Then, the pile‐to‐pile interaction factor is directly solved with the help of the transfer‐matrix method. The dynamic governing equation of pile group with an elevated rigid cap is established by superposing the pile‐to‐pile interaction factors. Finally, the dynamic impedance of pile group is obtained and derived into a group efficiency factor. Compared with the plane strain method, this present method can produce a more suitable soil attenuation factor and a dynamic interaction factor at low frequency range, which is exploited for practical engineering design. The effects of subsoil layer, subsoil layer, and unembedded pile segment on group efficiency factor are investigated. The results show that the real part of group efficiency factor decreases at high frequency range for a small pile spacing, which may be detriment to the pile group capacity. Besides that, the combined effects of unembedded segment and weak surface soil on group efficiency factor are highlighted. [ABSTRACT FROM AUTHOR]

Pupillometry has a rich history in the study of perception and cognition. One perennial challenge is that the magnitude of the task‐evoked pupil response diminishes over the course of an experiment, a phenomenon we refer to as a fatigue effect. Reducing fatigue effects may improve sensitivity to task effects and reduce the likelihood of confounds due to systematic physiological changes over time. In this paper, we investigated the degree to which fatigue effects could be ameliorated by experimenter intervention. In Experiment 1, we assigned participants to one of three groups—no breaks, kinetic breaks (playing with toys, but no social interaction), or chatting with a research assistant—and compared the pupil response across conditions. In Experiment 2, we additionally tested the effect of researcher observation. Only breaks including social interaction significantly reduced the fatigue of the pupil response across trials. However, in all conditions we found robust evidence for fatigue effects: that is, regardless of protocol, the task‐evoked pupil response was substantially diminished (at least 60%) over the duration of the experiment. We account for the variance of fatigue effects in our pupillometry data using multiple common statistical modeling approaches (e.g., linear mixed‐effects models of peak, mean, and baseline pupil diameters, as well as growth curve models of time‐course data). We conclude that pupil attenuation is a predictable phenomenon that should be accommodated in our experimental designs and statistical models. Pupillometry is used widely to investigate perception and cognition, but researchers typically do not account for systematic physiological changes over the course of an experiment. The present study advances current knowledge by examining potential interventions to prevent fatigue of the pupil response, and suggests solutions for modeling across‐experiment physiological changes. [ABSTRACT FROM AUTHOR]

In this second part of the two paper series, we detail an algorithmic procedure for systematically implementing the generalized closure form strategy presented in Part 1. This strategy extends the applicability of homogenized models with respect to classical homogenization theory, as demonstrated in Part 1 where upscaled models are rigorously derived in moderately reactive physical regimes. After encoding the algorithm into Symbolica, an automated upscaling framework, we upscale two reactive mass transport problems and numerically validate the resulting nonlinear homogenized models by showing the absolute error estimates predicted by homogenization theory are satisfied. In both problems, nontrivial closure forms and closure problems are automatically formulated using the encoded strategy with no human interaction, nor prior knowledge regarding the closure required for the systems. We hope these demonstrations spark further interest in automated analytical frameworks for multiscale modeling, as such capabilities are invaluable for generating rigorous multiscale models of complex phenomena in porous media. Key Points: An algorithmic procedure for applying the homogenization strategy from Part 1 is encoded into Symbolica, an automated upscaling frameworkUsing the strategy, Symbolica automatically defines valid closure forms and closure problems for two reactive mass transport problemsNontrivial homogenized models for complex problems are produced by Symbolica and numerically validated [ABSTRACT FROM AUTHOR]

Across the social sciences, there is a wealth of research on the role of language in persuasion in interpersonal communication. Most of these studies have been conducted in laboratories using experimental methods, have taken a social cognitive perspective, and have focused on the effects of particular linguistic practices on how persuasive messages are understood, processed, and ultimately complied with. By contrast, less attention has been paid to how language can be used to create sequential, interactional, and social obligations, in everyday interactions, like sales encounters or business negotiations, where persuasion occurs naturally and is built into the fabric of the conversation. In reviewing the former approach to studying language and persuasion, in this paper, I highlight several critical shortcomings. Then, I argue that, when studying naturally occurring persuasion‐in‐interaction, a discursive psychological approach is better suited for investigating and theorising the interactional structures underpinning persuasion and the role of language therein. [ABSTRACT FROM AUTHOR]

This paper develops a concept of relational linguistic continuity as a new basis to defend the right to linguistic survival. Relational linguistic continuity refers to a condition whereby individuals may continuously form human relations and have social interactions with others with whom they share the language of origin or of socialisation. The paper proceeds as follows. Section 2 critically engages with two distinct arguments that tackle the issue of linguistic survival: one based on equality of autonomy and another based on equality of dignity. Then, I point out that both arguments are insufficient for a full‐fledged defence of linguistic survival. Section 3 develops a concept of relational linguistic continuity. I first introduce the seminal idea of linguistic security proposed by Leslie Green and Denise Réaume, which will be critically revised in order to develop my concept of relational linguistic continuity. I conclude with Section 4 by defending the right to linguistic survival and addressing potential criticisms. I argue that my concept of relational linguistic continuity successfully provides a basis to defend the right to linguistic survival. [ABSTRACT FROM AUTHOR]

In this paper, I engage with my personal experiences and reflections regarding my fear of exposure to coronavirus in a collective and physically demonstrative society. I reflect on my ongoing struggle of coping with social and cultural pressures, for example, the avoidance of 'touch' that demonstrates care and affection irrespective of whether someone is ill with the virus. Developed during the third wave of the pandemic, this paper reveals the ambivalence and the emotional challenges involved therein as I tried to (re)negotiate social interactions. It reflects the resistance and denial of the people that coronavirus even exists as they tried to justify their illness by linking it with other known diseases. Hence, the majority disapproved of social distancing to avoid stigmatization and being distanced from others. I believe that expressions of 'care' and 'affection' requires reconsideration in such circumstances as an act of care itself to protect lives. [ABSTRACT FROM AUTHOR]

Partisan preferences usually stand out as the major driving force behind voters' expectations about election outcomes. Apart from partisan preferences, however, purely individual‐level factors appear to be only weakly associated with forecasting ability. Some studies argue that we need to move from the strictly personal sphere to the interpersonal one to better understand the underpinnings of individuals' forecasting ability. This paper leverages data from 77 elections at the district, municipal, regional, and/or national levels in 10 different countries to assess the impact of social networks and social interactions on the accuracy of citizens' electoral expectations. The results cast doubt on the capacity of social interactions to influence citizens' forecasting skills. [ABSTRACT FROM AUTHOR]

Corporate social responsibility plays an important role in promoting national harmony and high‐quality development. And social capital is the foundation of corporate survival and enhancing value is the goal of corporate survival. The interaction between social responsibility, social capital and corporate value and the degree of influence is an issue waiting to be studied. This paper takes listed companies from 2010 to 2020 as the research object, and empirically examines the dynamic interrelationship and degree of influence between the three on time series by constructing the PVAR model to include the three in the same analytical framework. The study shows that: (1) There is a virtuous circle mechanism of "social responsibility‐social capital‐corporate value". (2) CSR and social responsibility are mutually causal, and social responsibility and corporate value are mutually causal, while social capital can only enhance corporate value in one direction. (3) Although the interaction between the three variables gradually decreases and tends to zero over time, it still has a strong lag, and the effect generated in the current period can lag at least 10 periods. The research results enrich the dynamic relationship between social capital, social responsibility and corporate value, and provide strategic references for corporate value enhancement. [ABSTRACT FROM AUTHOR]

The rise of AI technology, the expansion of smart and connected devices, and the COVID‐19 global pandemic have driven a change in the nature of social interactions from face‐to‐face to contact‐free/remote, which has tremendously increased the demand for various semiconductor devices. However, scaling and performance improvement of semiconductor devices are becoming more difficult every year, and extensive studies have been conducted to overcome these technological roadblocks. This paper reviews the present state of semiconductor development and discusses several approaches to overcome these scaling and performance limitations. Additionally, the importance of collaboration and the related ecosystem is emphasized to strengthen the cooperation among semiconductor stakeholders and support further semiconductor development. [ABSTRACT FROM AUTHOR]

Online platforms provide a technological infrastructure allowing social actors to enact and utilize networks with a global reach. They play important roles as intermediaries and algorithm‐based curators of social interaction. This paper addresses two knowledge gaps: First, while a growing number of empirical studies has deepened our insights into the social dynamics characterizing single platforms, little is known about the multiple ways in which users or user groups combine diverse online offers according to their preferences. Second, the empirical focus has mainly been on online interaction. However, in everyday practices, the online is always situated in offline practices. It is thus necessary to understand the complex interdependencies of online and offline spheres. This paper therefore aims to develop an ecological heuristic that positions the user(s) and their practices center stage in the analysis and to elucidate the on/offline opportunity spaces and the affordances and constraints they provide for user agency. [ABSTRACT FROM AUTHOR]

Computer‐supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an automatic knowledge graph construction approach based on deep neural network models. In total, 63 groups comprising 189 college students participated in this study and were assigned to three conditions, namely, the automatic activated and unactivated knowledge graph (AAUKG) condition, the automated activated knowledge graph (AAKG) condition, and the traditional online collaborative learning (TOCL) condition. The findings revealed that the AAUKG approach had more significant and positive impacts on collaborative knowledge building, group performance, social interaction, and socially shared regulation than the AAKG and TOCL approaches. This study provides substantial evidence of utilising both automatically activated and unactivated knowledge graphs to improve collaborative learning performance. Practitioner notesWhat is already known about this topic Knowledge graphs have been widely used in many fields for searches, recommendations, analytics, and automation.Researchers have explored how to construct knowledge graphs. However, few studies have automatically constructed knowledge graphs in the CSCL context.What this paper adds An automatic knowledge graph construction approach is proposed and validated in the CSCL context.The findings indicate that the AAUKG approach has more significant and positive impacts on collaborative knowledge building, group performance, social interaction, and socially shared regulation than the AAKG and TOCL approaches.Implications for practice and/or policy The AAUKG approach is an effective method for improving knowledge building and group performance in the CSCL context.Researchers and practitioners are encouraged to consider how knowledge graphs can be applied to facilitate collaborative learning efficiently. [ABSTRACT FROM AUTHOR]

This paper investigates the seismic bridge‐pile‐soil system failure mechanisms due to liquefaction‐induced lateral spreading. Two large‐scale shaking table tests were performed on pile groups with and without bridges in sloped liquefiable soils overlain by soil crust. The systems were subjected to a weak earthquake signal (Tabas 0.05 g) and a strong earthquake signal (Tabas 0.3 g). Their responses were recorded in terms of excess pore pressure, acceleration, and displacement time histories. The piles seismic failure mode and mechanism are described based on the obtained results. In addition, the inertial and kinematic interaction effects on the piles' deflection were evaluated. The results demonstrated that the bridge had no significant effect on the seismic response of the pile‐soil system under weak earthquakes. Meanwhile, the test model without a bridge experienced more significant soil lateral displacement, and the saturated sand exhibited dilatant behavior, and amplified the acceleration peak response during the strong earthquake. Moreover, the liquefaction‐induced lateral spreading moved the vulnerable position of the pile group bridge system from the pier bottom to the pile head, which changed the failure mode of the pile head. The results also revealed that, compared with weak earthquake excitation, the kinematic effect was significantly enhanced, and the inertia effect was weakened during strong earthquakes. Moreover, the pile curvature during both weak and strong earthquakes was inversely proportional to the bridge inertial load. [ABSTRACT FROM AUTHOR]

Research has established that social factors are integral to trauma recovery. Yet, there is relatively little data on the association between social interactions from different supports and posttraumatic stress disorder (PTSD) symptoms. Moreover, few studies have measured these factors from multiple informants. This paper examined social interactions from different sources (i.e., negative and positive reactions from a chosen close other [CO], family/friends, and general non‐COs) and their association with PTSD symptoms using multi‐informant reports of the social constructs (i.e., from the individual exposed to trauma [TI] and their CO). Participants (N = 104 dyads) were recruited from an urban center within 6 months of the TIs' exposure to a traumatic event. TIs were assessed using the Clinician‐Administered PTSD Scale. TI self‐report, t(97) = 2.58, p =.012, and CO collateral report of disapproval from family/friends, t(97) = 2.14, p =.035, and TI self‐report of general disapproval, t(97) = 4.91, p <.001, emerged as significant predictors of PTSD symptoms when compared with other social constructs. Interventions that target family members' and friends' reactions to trauma survivors and societal discourse around trauma and reactions to trauma survivors are recommended. Clinical interventions that buffer against TIs' experiences of disapproval and guide COs on the provision of supportive responses are discussed. [ABSTRACT FROM AUTHOR]

When people face difficult life events, such as cancer or bereavement, they fare better when they receive support. These "experiencers" are likely to seek and receive support from a wide range of people, from close others to acquaintances. Indeed, the social support literature has long acknowledged the value of having a diverse support network. Research suggests that experiencers often perceive "weak ties" (i.e., acquaintances) as sources of support, and that experiencers sometimes prefer to get support from weak ties rather than strong ties. Providing support can be challenging for all kinds of supporters, however weak ties may be more likely than strong ties to allow worries about their inability to provide effective support to stop them from providing any support at all, thus depriving experiencers of opportunities for additional support. In this paper, we focus on the fact that often the provision of support occurs via a social interaction. We draw on the social psychology literature on minimal social interactions to suggest reasons why potential weak tie supporters might doubt their ability to provide effective support, and to generate advice to encourage potential supporters to reach out. Finally, we suggest future areas of research, with the ultimate goal of helping to expand the support that is available for people experiencing difficult life events. [ABSTRACT FROM AUTHOR]

Peer support describes the process of giving and receiving support between people who share similar life experiences. It is commonly used by family members of people with disability, with positive outcomes. However, existing research tends to assume it has separate and discrete benefits, neglecting the subtleties of how the different outcomes may be interconnected and mutually reinforcing. An account of these broader connections between benefits is needed. Drawing on Australian data from 24 parents and siblings of people with disability, this paper identifies benefits of peer support, including exchange of information, benefiting from experience and problem solving; motivation/encouragement and self‐confidence/personal development; social interaction and friendship; understanding, perspective and belonging/community; working together for change; and resilience and well‐being. The paper then proposes a framework to understand these benefits in an interconnected manner, where they are either transactional (giving and receiving practical and social‐emotional resources) or integrative (assimilating what is given and received into one's own experience and actions). The implications for practice and for families are discussed. [ABSTRACT FROM AUTHOR]

In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2–4‐year‐olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational potential as assessed by a validated questionnaire for evaluating the educational potential of apps and were more likely to include a learning goal and feedback compared to low scoring apps. However, high scoring apps scored on average just 9/20 for indicators of educational potential, and both high and low scoring apps had poor language quality as determined by psycholinguistic and construction type analyses. We argue that website rating systems should also include quality of feedback, adjustable content, social interactions, storyline and a more fine‐grained analysis of language in their assessments. Practitioner notesWhat is already known about this topic Appropriately designed apps for preschool age children have the potential to teach early school readiness skills.Selecting high quality educational apps for preschool age children is challenging.The children's app marketplace is currently unregulated.What this paper adds We assess whether two leading app rating websites are useful for selecting educational apps for preschool age children.Children's apps rated highly by two app website rating systems had a higher educational potential than low rated apps as measured by a research informed app evaluation tool.In‐depth analysis of the language in apps shows that highly rated children's apps on app rating websites may not enrich a child's early language environment.Implications for practice and/or policy Children's app rating website assessments should include potential for feedback, language, adjustable content, storyline and social interactions.Policy should be implemented for app ratings in the app stores or on website app rating systems. [ABSTRACT FROM AUTHOR]

Collective behavior sometimes requires forming a particular formation or reaching a certain velocity to accomplish a specific task, such as bird migration. In this paper, we investigate the collective migration model, which consists of two parts: Cucker–Smale type interaction and target velocity. Each agent has a strategy to allocate limited energy to group interaction and velocity tracking. In this case, if the system achieves monocluster flocking then the final velocity is equal to target velocity. When the strategy is invariant, we show that 1/2 is a critical threshold which is consistent with the classical Cucker–Smale model. When the strategy is time varying, we provide a time‐varying strategy named threshold strategy to ensure that for any initial state the system achieves monocluster flocking and the final velocity reaches target velocity. In addition, the case of multiple target velocities is considered. According to the theory of bicluster flocking, we obtain a sufficient framework to guarantee that the system achieves bicluster flocking and two groups would reach their target velocities, respectively. [ABSTRACT FROM AUTHOR]

This paper presents Chinese heritage parents' perspectives on young children's use of technology as a tool for language and cultural learning. Growing up with Confucian heritage culture, some Chinese parents have particular cultural beliefs about learning that value effortful learning practices and the social context of learning. However, some Chinese parents believe technology is just a tool for entertainment and keeps children away from social interaction, which leads to their preference of print‐based literacy practices at home. Four parents from different families whose children were between the ages of four to five participated in this study. These parents were interviewed about their experience and history of using technology and their thoughts about technology as a tool for language and cultural learning. Four narratives were constructed to describe parents' experiences, histories, opinions, cultural values and beliefs. Parents' perspectives were influenced by a variety of intertwined factors, including their own childhood language learning experiences, their histories of using technology, their cultural values and beliefs about learning, the purpose of technological experiences, and the quality of available technological resources. Pedagogical implications for using technology with children and communicating with parents are discussed. [ABSTRACT FROM AUTHOR]

The amount and poor quality of available data and the need of appropriate modeling of the main epidemic indicators require specific skills. In this context, the statistician plays a key role in the process that leads to policy decisions, starting with monitoring changes and evaluating risks. The "what" and the "why" of these changes represent fundamental research questions to provide timely and effective tools to manage the evolution of the epidemic. Answers to such questions need appropriate statistical models and visualization tools. Here, we give an overview of the role played by Statgroup‐19, an independent Italian research group born in March 2020. The group includes seven statisticians from different Italian universities, each with different backgrounds but with a shared interest in data analysis, statistical modeling, and biostatistics. Since the beginning of the COVID‐19 pandemic the group has interacted with authorities and journalists to support policy decisions and inform the general public about the evolution of the epidemic. This collaboration led to several scientific papers and an accrued visibility across various media, all made possible by the continuous interaction across the group members that shared their unique expertise. [ABSTRACT FROM AUTHOR]

Educational technologies have the potential to expand access to education to a wider range of people, including those currently without access to high‐quality learning opportunities. However, this promise is largely unfulfilled (see S. Protopsaltis and S. Baum, Does online education live up to its promise? A look at the evidence and implications for federal policy, 2019, Center for Educational Policy Evaluation). Although technology can remove some barriers, it can also have the opposite effect, creating new inequalities. This meta‐synthesis summarises the main findings from current research that documents both structural and instructional barriers; and proposes research‐supported best practices in online course design and instruction in order to promote greater student satisfaction and success. Context and implicationsRationale for this studyOnline and blended education has the potential to expand educational opportunities for diverse learners; unfortunately, some aspects of online and blended learning environments can be disadvantageous to certain learners, and instructors need to keep this in mind.Why the new findings matterThis review summarises the best research‐supported design principles for equitable online learning environments.Implications for practitionersWe discuss first structural issues: environmental, technical and social factors that practically impede access to equitable online learning for many learners (for example, inadequate access to WiFi connectivity). Our main focus in the paper, however, are instructional impediments and specific strategies for addressing them: these are organised under strategies for course design and organisation; strategies for course content; strategies for more social presence and interaction; and strategies for more instructor presence and connection with students. [ABSTRACT FROM AUTHOR]

Independent human–wildlife feeding interactions (i.e., the feeding of wildlife by the public outside of organized ecotourism activities) represent an increasingly common way in which humans and wildlife are engaging with one another. It is important to determine what effects these interactions are having on the wildlife involved in order to ensure that optimum coexistence scenarios are being achieved, however the nature of these interactions makes them notoriously difficult to study. Extrapolation from ecotourism activities has suggested detrimental impacts on the health and fecundity of the populations involved. Moreover, recent findings indicate that bold individuals may actually gain reproductive advantages from this excess food supply, driving artificial selection of risk‐taking behaviors within human‐dominated landscapes. Humans may, therefore, be unknowingly manipulating wildlife populations, forcing them into unnatural states, and potentially decreasing future viability. Here, we outline key literature pertaining to the potential impacts of these self‐led interactions on wildlife and address the need for further research into the associated effects. Due to the associated safety risks to the humans involved in these interactions, and by applying the precautionary principle until further research can be performed, we recommend that management actions be employed to actively reduce their occurrence. We address current management practices in use and make recommendations for further research to adapt and improve them. Ultimately, we make a call for further research addressing two fundamental key areas: (i) to explore the effects of these interactions on the wildlife involved, across different species and habitats experiencing this phenomenon, with emphasis on the potential role of artificial selection, and (ii) to work to improve the management practices currently employed to reduce the occurrence of these interactions, at least until such time as the effects of these interactions on both humans and wildlife have been thoroughly disentangled, with the overall goal of improving coexistence. [ABSTRACT FROM AUTHOR]

TikTok, as an emerging digital geography, has transformed remote communication to a live, instant, and uncannily realistic interaction. To explore the implications of TikTok on older adults, this paper examines the accounts of older Chinese TikTok celebrities – their participation in TikTok as well as the major discourses of ageing mediated by TikTok. An empirical study was conducted by quantitatively analysing web‐scraped comments on older TikTok celebrities and by interpreting the themes present in these popular TikTok accounts. The empirical results unveil that TikTok facilitates the social interactions of older digital celebrities by creating a caring environment. However, the healthy ageing paradigm promoted by the Chinese government is also promoted by TikTok's recommendation algorithm and platform capitalism. The healthy ageing paradigm prioritises older adults who are healthy and independent, and as a result marginalises those who have a disease or disability or are dependent on others in some way. As a result, the healthy ageing paradigm promoted by TikTok constitutes another form of ageism. Responding to the call to go beyond "the digital", our research contributes to digital geography by examining the geographies of ageing mediated by TikTok. [ABSTRACT FROM AUTHOR]

The quality of institutions indicates the level of economic development in the country. Institutions are a part of a system that is based on human interactions and that leads to the generation of incentives. These incentives can deal with uncertainties and foster economic, social, political growth, provided the human interactions are moderated well. This paper reflects on the strength of the interventionalist institutions like cooperatives in India and promotes institution building for a better future. The base of the paper focuses on the lessons learnt from dairy cooperatives in Gujarat state and discusses the current situation of the cooperatives and challenges faced by them. The cooperatives in India have been old institutions with a great history of success as also failures. Though there are various types of cooperatives in India, the dairy cooperatives have been able to gain more attention in the international market due to the Operation Floods I, II, and III. India has secured its position as one of the largest milk producers in the world. At present, India produces 20% of the total milk production in the world. This paper is a blend and analysis of theoretical perspectives and ground realities of the dairy cooperative sector in India. The paper follows theoretical perspectives from institutional theory to analyse the present scenario of dairy cooperatives in India. It addresses the gaps in the dairy cooperative development sector with an in‐depth analysis of ground realities and contributes to future policy formulation and interventions. [ABSTRACT FROM AUTHOR]

The inversion of petrophysical parameters from seismic data represents a fundamental step in the process of characterizing the subsurface, with applications ranging from subsurface resource exploration to geothermal, carbon capture and storage, and hydrogen storage. We propose a novel, data‐driven approach, named Seis2Rock, that utilizes optimal basis functions learned from well‐log information to create a direct link between pre‐stack seismic data and so‐called band‐limited petrophysical reflectivities. Seis2Rock is composed of two stages: training and inference. During training, a set of optimal basis functions are identified by performing singular value decomposition on one or more synthetic amplitude variation with offset gathers created from measured or rock‐physics synthesized elastic well logs. In inference, seismic pre‐stack data are first projected into a set of band‐limited petrophysical reflectivities using the previously computed basis functions; this is followed by regularized post‐stack seismic inversion of the individual properties. In this work, we apply the Seis2Rock methodology to a synthetic data set based on the Smeaheia reservoir model and to the open Volve field data set. Our numerical results reveal the ability of the proposed method in recovering accurate porosity, shale content, and water saturation models. Finally, the proposed methodology is applied in the context of reservoir monitoring to invert time‐lapse, pre‐stack seismic data for water saturation changes. Plain Language Summary: The current study presents a new approach to characterizing the subsurface through the use of seismic data. Petrophysical parameters, such as porosity and fluid saturations, inform geoscientists about the location and volume of fluids that could be present in a certain area of the subsurface. We propose a method, termed Seis2Rock, which can directly map seismic data to petrophysical properties. First, using petrophysical measurements from previously drilled wells, we find a direct relationship between the observed petrophysical properties and the seismic data at the well locations. Once such direct relationship is learned, it is applied to the remaining seismic data, which covers areas with no petrophysical data available. Tested on synthetic and field data, we illustrated that Seis2Rock can accurately predict the spatial distribution of porosity, shale content, and water saturation in the subsurface. Moreover, as the subsurface changes due to human interactions, for example, hydrocarbon extraction, CO2 and hydrogen injection for storage purposes, Seis2Rock can be repurposed to monitor changes occurring through time, such as tracking how fluid moves within a reservoir. Key Points: A data‐driven approach to petrophysical inversion from pre‐stack seismic data via simple, and interpretable algebraic operationsPetrophysical reflectivities are introduced to directly link training and test data and to recover full‐bandwidth petrophysical parametersA robust, end‐to‐end workflow is established on synthetic and field data for subsurface characterization and monitoring [ABSTRACT FROM AUTHOR]

The global digital gaming industry has grown rapidly in recent years. Rapid technological advancements are changing the ways in which players can interact with video games as individuals and collectives. In addition to the increased penetration of games, the reasons for which people play and employ games need careful attention. In this paper, we have systematically reviewed the peer‐reviewed journal articles (n = 91) relevant to the gamers' motivations of playing digital games. In addition to analysing the publication trends, we have identified and discussed a set of six key motivational themes (immersion and flow, gratification and affect, escapism, social interaction, identification, and goal orientation). Subsequently, we call for further research on theoretical and methodological advancement as well as individual/social wellbeing and dark sides of digital gaming in relation to players' motivation. [ABSTRACT FROM AUTHOR]