Actual Interaction Research Articles

The effect of social anxiety on social attention in naturalistic situations

ABSTRACT Background and Objectives This multimodal two-phase study investigated the impact of trait social anxiety on exploration, social attention, and autonomic responses in a naturalistic setting. We expected higher avoidance of potentially crowded spaces, reduced visual attention on other people, and heightened physiological arousal in social situations for participants with higher social anxiety levels. Design and Methods Eighty-seven participants, pre-screened for high variance in trait social anxiety, first completed a half-hour walk on a freely chosen route and subsequently had a staged social interaction with a confederate consisting of a non-interactive waiting phase and a short conversation. Results While social anxiety did not modulate the choice of route during the walk phase, socially anxious participants avoided gazing at other individuals in non-interactive situations, i.e., during the walk and the waiting phase. In contrast, during actual interaction, they showed increased visual attention towards the confederate’s face. Across all experimental phases, highly socially anxious individuals showed elevated heart rates, but this effect was independent of the social context. Conclusions This study showed that social anxiety affects social exploration behavior not in a way of general avoidance, but rather in nuanced adaptations depending on the concrete situation, likelihood of interaction and associated socio-evaluative threat.

"Mirror, mirror in the call": Exploring the Ambivalent Nature of the Self-view in Video Meeting Systems with Self-Reported & Eye-Tracking Data

Video meeting systems offer great potential for work and life, but they can also have negative effects. One reason is the presence of technical stimuli that do not exist in the physical world. A prominent example is the self-view feature, a mirrored image of oneself shown during the video meeting. The self-view feature comes with a trade-off between the advantage of enhancing control and the disadvantage of increasing cognitive load of its users. So far, research is scarce when it comes to understanding this ambivalent nature and studies mostly relied on self-reported data without considering the actual interaction with the self-view. To address this gap, we conducted an experimental study with 57 participants and two design variants (with/without self-view), analyzed user perceptions through surveys and interviews, and explored gaze patterns using eye-tracking technology. Results reveal varying perceptions of cognitive load and control among self-view users and between the design variants, highlighting its ambivalent nature. We see differences in how participants interact with the self-view. In a cluster analysis, we identify three user groups (Benefiting Users, Cognitively Challenged Users, Control Losing Users). These groups also show differences in visual behavior, especially median fixation duration, and user characteristics. Based on our findings, we outline design recommendations for more flexible and intelligent design solutions by considering user groups and their individual differences.

Co-Occurrence Patterns Do Not Predict Mutualistic Interactions Between Plant and Butterfly Species.

Biotic interactions are crucial for determining the structure and dynamics of communities; however, direct measurement of these interactions can be challenging in terms of time and resources, especially when numerous species are involved. Inferring species interactions from species co-occurrence patterns is increasingly being used; however, recent studies have highlighted some limitations. To our knowledge, no attempt has been made to test the accuracy of the existing methods for detecting mutualistic interactions in terrestrial ecosystems. In this study, we compiled two literature-based, long-term datasets of interactions between butterflies and herbaceous plant species in two regions of Germany and compared them with observational abundance and presence/absence data collected within a year in the same regions. We tested how well the species associations generated by three different co-occurrence analysis methods matched those of empirically measured mutualistic associations using sensitivity and specificity analyses and compared the strength of associations. We also checked whether flower abundance data (instead of plant abundance data) increased the accuracy of the co-occurrence models and validated our results using empirical flower visitation data. The results revealed that, although all methods exhibited low sensitivity, our implementation of the Relative Interaction Intensity index with pairwise null models performed the best, followed by the probabilistic method and Spearman's rank correlation method. However, empirical data showed a significant number of interactions that were not detected using co-occurrence methods. Incorporating flower abundance data did not improve sensitivity but enhanced specificity in one region. Further analysis demonstrated incongruence between the predicted co-occurrence associations and actual interaction strengths, with many pairs exhibiting high interaction strength but low co-occurrence or vice versa. These findings underscore the complexity of ecological dynamics and highlight the limitations of current co-occurrence methods for accurately capturing species interactions.

A Clustering Approach to Unveil User Similarities in 6-DoF Extended Reality Applications

The advent in our daily life of Extended Reality (XR) technologies, such as Virtual and Augmented Reality, has led to the rise of user-centric systems, offering higher level of interaction and presence in virtual environments. In this context, understanding the actual interactivity of users is still an open challenge and a key step to enabling user-centric system. In this work, our goal is to construct an efficient clustering tool for 6 Degree-of-Freedom (DoF) navigation trajectories by extending the applicability of existing behavioural tool. Specifically, we first compare the navigation in 6-DoF with its 3-DoF counterpart, highlighting the main differences and novelties. Then, we investigate new metrics aimed at better modelling behavioural similarities between users in a 6-DoF system. More concretely, we define and compare 11 similarity metrics which are based on different distance features ( i.e. , user positions in the 3D space, user viewing directions) and distance measurements ( i.e. , Euclidean, Geodesic, angular distance). Our solutions are validated and tested on real navigation paths of users interacting with dynamic volumetric media in both 6-DoF Virtual Reality and Augmented Reality conditions. Results show that metrics based on both user position and viewing direction better perform in detecting user similarity while navigating in a 6-DoF system. Such easy-to-use but robust metrics allow us to answer a fundamental question for user-centric systems: “how do we detect if users look at the same content in 6-DoF?”, opening the gate to new solutions based on users interactivity, such as viewport prediction, live streaming services optimised based on users behaviour but also for user-based quality assessment methods.

Counseling About Cannabis Use During Pregnancy and Lactation: A Qualitative Study of Patient and Clinician Perspectives.

Legalization in many jurisdictions has increased the prevalence of cannabis use, including during pregnancy and lactation. Accordingly, clinicians providing perinatal and infant care are increasingly required to counsel about this topic, even if they do not feel comfortable or prepared for this conversation. The aim of this research was to explore how prenatal clinicians and pregnant and lactating women interact with cannabis consumption. Using qualitative description, we conducted semi-structured interviews with 75 individuals in Canada: 23 clinicians who provide pregnancy and lactation care, and 52 individuals who made cannabis consumption decisions during pregnancy and/or lactation. Data were analyzed using inductive content analysis. Three phases of the clinical encounter influenced decision-making about cannabis consumption: initiation of a discussion about cannabis, sense-making, and the outcome of the encounter. Patients and clinicians described similar ideals for a counseling encounter about cannabis consumption during pregnancy or lactation: open, patient-centered conversation grounded in an informed decision-making model to explore the benefits, risks, and alternatives to cannabis. While clinicians described these values as reflecting real clinical interactions, patients reported that in their experience, actual interactions did not live up to these ideals. Clinicians and pregnant and lactating people report desiring the same things from a counseling interaction about cannabis: sharing of information, identification of values, and facilitation of a decision. Both groups endorse an open, nonjudgemental counseling approach that explores the reasons why a patient is considering cannabis consumption and reflects these reasons against available evidence and alternatives known to be safe.

Improving Effectiveness by Reducing Overconfidence in Large Catalogue Sequential Recommendation with gBCE loss

A large catalogue size is one of the central challenges in training recommendation models: a large number of items makes them memory and computationally inefficient to compute scores for all items during training, forcing these models to deploy negative sampling. However, negative sampling increases the proportion of positive interactions in the training data, and therefore, models trained with negative sampling tend to overestimate the probabilities of positive interactions – a phenomenon we call overconfidence . While the absolute values of the predicted scores/probabilities are not important for the ranking of retrieved recommendations, overconfident models may fail to estimate nuanced differences in the top-ranked items, resulting in degraded performance. In this paper, we show that overconfidence explains why the popular SASRec model underperforms when compared to BERT4Rec. This is contrary to the BERT4Rec authors’ explanation that the difference in performance is due to the bi-directional attention mechanism. To mitigate overconfidence, we propose a novel Generalised Binary Cross-Entropy Loss function (gBCE) and theoretically prove that it can mitigate overconfidence. We further propose the gSASRec model, an improvement over SASRec that deploys an increased number of negatives and the gBCE loss. Through detailed experiments on three datasets, we show that gSASRec does not exhibit the overconfidence problem. As a result, gSASRec can outperform BERT4Rec (e.g. +9.47% NDCG on the MovieLens-1M dataset), while requiring less training time (e.g. -73% training time on MovieLens-1M). Moreover, in contrast to BERT4Rec, gSASRec is suitable for large datasets that contain more than 1 million items. Finally, we show how addressing overconfidence can improve model calibration – the ability of a model to predict actual interaction probabilities accurately. By applying gBCE to the SASRec model on MovieLens-1M dataset, we reduce the models’ expected calibration error by 98.9% (from 0.966 to 0.01).

Using Politeness Theory to Deconstruct How Preregistrant Pharmacists Approach Disagreement in the Workplace

ObjectiveUsing politeness theory, this study investigates how preregistrant pharmacists engage in workplace disputes. MethodsOverall, 56 students participated in 2 mock job judgment scenarios. In scenario A (n = 25), the conflict was with a colleague of lower hierarchical status, while in scenario B (n = 32), the conflict was with a colleague of equal hierarchical status. Using politeness theory, responses were coded into 3 tiers: (1) engagement in the face-threatening act (FTA); (2) use of on/off-record approaches; and (3) communicative strategies. For tier 1, reasons for engaging in the FTA were also coded. Results89% of the participants indicated they would unequivocally engage in the FTA. For scenario A, the pharmacist’s roles and responsibilities (40%) and for scenario B, situational urgency/safety (65%) were the key drivers. Scenario A participants were more likely to use an on-record approach (80%) than those in scenario B (68%). Empathetic approaches (56%) were more common in scenario A, while explanatory approaches (64%) were more frequent in scenario B. ConclusionThis study shows that preregistrant pharmacists are aware of the principles of face-work. While the study only reflects what participants believe they would do, not their actual ability in professional disputes, it supports current research that students need simulated low-stakes opportunities to practice communication skills before entering the workplace, especially where situational urgency is present. Integration of politeness theory in workshop and feedback design could help students to link awareness to actual interaction, although the theory should be expanded to integrate urgency as a factor impacting all levels of interactional decision-making.

Implementation and impact of integrated information systems in Albanian SME’s

Abstract This research work analyses how information technology improves business efficiency, creates employment, and fosters economic development. This paper investigates the level of integrated information systems used by small and medium enterprises in Albania. The research philosophy employed in this research work based on the case study method, and researcher interaction has been applied as a technique for data collection. Through careful observation and investigation of practical and real cases, a complete picture of the actual interaction of factors and events are obtained. A self-selection sampling technique was used. Through this technique, cooperation with managers was enabled to recommend possible concrete improvements in the systems or subsystems of information they apply. Results indicate that while information technology adoption is growing, significant barriers such as financial constraints and lack of technical skills persist. The empirical work showed that the firms involved in the study used information systems for different aspects such as sales, accounting, or quality control, but they were not integrated. The lack of the “smart” use of the information systems hampered their efficiency and make them less competitive. By leveraging such systems, SMEs can overcome challenges posed by limited resources and achieve sustainable growth.

Subtle yet encouraging developments: exploring intergroup relations between Arab and Jewish college students over seven years

IntroductionThis study investigates the dynamics of intranational intergroup contact between Arab and Jewish students in a higher education institution in Israel. Guided by the contact hypothesis, the research examines the gap between students’ willingness for intergroup closeness and their reported actual intergroup interactions.MethodsUsing a cross-sectional survey design, quantitative data were collected from a total of 733 Arab and Jewish students at two timepoints: in 2016 (n = 419) and in 2023 (n = 314). All students were studying to become physical education teachers.ResultsThe findings revealed both persistent challenges and encouraging trends in intergroup relationships. Despite reported willingness for meaningful connections, the students’ reported actual intergroup interactions remained limited. A significant increase in willingness for academic and friendship relationships was observed from 2016 to 2023, suggesting the potential for constructive change. Arab students consistently reported higher willingness for closeness and more frequent interactions than their Jewish counterparts.DiscussionThese findings underscore the importance of structured interventions in higher education settings to foster meaningful intergroup relations, amidst broader societal challenges.

Triangular Fuzzy Cognitive Maps Method for Modelling Interrelation between Causal and Trigger Factors Towards Students' Mathematics Problem-Solving Ability

The purpose of this study is to model the interrelation between causal and trigger factors towards students' mathematics problem-solving ability by using the triangular fuzzy cognitive maps (TrFCM) method. Selection weaknesses and limitations in the method of relational analysis cause the interrelation and influence between variables not to be visualised and do not reveal the characteristics of the actual interaction. As a result, this study demonstrates TrFCM as a more effective way of analysing the relationship between variables based on the complexity that happens in analysing causal factors and triggers for students' problem-solving abilities in mathematics. The results of the influential relations map (IRM) demonstrate that emotion and metacognition are the triggers for problem-solving ability. While executive function is the main cause of success in completing mathematics problems, it is also influenced by additional factors such as motivation, attention, and working memory. These causal and triggering factors also mobilise parts of students' cognitive and behavioural performance to improve the process of solving mathematics problems. Based on the outcomes of this study, computational intelligence methods like fuzzy systems give useful procedures for analysing data from expert surveys. The TrFCM method offers a more accurate relational analysis procedure in modelling interrelation between human factors.

Interactional Competence Instruction for Beginner KFL Learners

ABSTRACT Interactional competence (IC) refers to the ability to use interactional resources, such as turn-taking, sequencing, overall structuring, and repair during actual interaction (Wong & Waring, 2021). Language learners must develop IC to engage in conversation using the target language (TL) in culturally appropriate and interactive ways. However, teaching IC is often overlooked, especially for beginner learners. In response to this need, this article presents an interaction-oriented project called the “Conversation Project” recently implemented in a first semester Korean as a foreign language (KFL) college course. In this project, KFL learners are explicitly taught a set of interactional features of Korean through authentic learning material and then given opportunities to apply them in a social and immersive learning environment with Korean speakers. The project aims to foster IC development and enhance learners’ conversational skills in real-life intercultural situations.

Pangoniometry is a modern method of physiological and hygienic assessment of the severity of work according to the indicator "Working posture"

Introduction. The development of occupational health is largely ensured by its comprehensive approach to the study of the "Man–machine–production environment" system, which includes an assessment of many factors characterizing the production system in the action shaping working conditions. However, in the concept of "Working conditions" they are "a set of factors in the working environment and the labor process that influence the performance and health of the employee", that is, they are interpreted statically (as a set...) and passively — without the participation of the employee in shaping the conditions of his work. This is probably why the working conditions are being investigated dose exposures of material factors that do not contribute to the identification of their primary connection with a working person — a connection that forms the result of the actual interaction of material factors with the animate at a certain time in a given workplace, the identification of which is available only to effective exposures of material factors — expositions of a higher level of quality, claiming to have the appropriate quality of rationing – comprehensive, universal, with an expanded scale of assessment of working conditions, and for the first time opens up the possibility of their identification, depending on the state and dynamics of the employee's health. In this study, scientists measured and evaluated the effective exposure of one of the most difficult to determine and evaluate the characteristics of the labor severity factor — the "Working posture". The experts gave an assessment in comparison with the traditionally defined basic exposures of the working position in the studied labor processes. The study aims to increase the accuracy of the hygienic assessment of the severity of work according to the indicator "Working posture" using a modern technique — pangoniometry. Materials and methods. In three groups of workers (2 car drivers, 10 doctors of clinical laboratory diagnostics and 30 electricians on duty), specialists applied three different methods of studying the working posture, two of which are widely represented in the normative and methodological and scientific literature, and the third was developed by the authors and was called pangoniometric. This technique consisted in drawing up diagrams of working poses, which are the material for measuring with the help of a protractor the limits of fluctuations in the degrees of motion of various parts of the locomotor system in joints. The researchers also measured the actual limits of fluctuations in angular degrees, determined that they exceeded the known optimal limits in areas of increased stress on the joint and the time of its operation in these areas. The authors have carried out statistical processing of the obtained material using the Student's t-test and the Pearson correlation coefficient. Results. It was found that the indicator of the effective effect of the forms of working poses obtained by the method of pangoniometry significantly, by 1–2 classes and degrees of harmfulness, clarifies the assessment of the severity of labor in comparison with the indicator of the dose exposure of working poses. Limitation. There were a small number of car drivers studied — two people. Conclusion. Pangoniometry is a method of physiological-hygienic and physiological-clinical comprehensive research and assessment of the impact of forms of working postures on health in the labor process. The method clarifies the hygienic assessment of the severity of work according to the indicator "Working posture" by identifying the primary relationship between the load on the joints and their working tension, materializing this important relationship in diagnostic and preventive terms in the indicator of the effective effect of the goniometric index of the working posture. In an indicator that has the property of being a guide to managing working conditions in the workplace by openly modeling elements of not only the material factor, but also the animate interacting with it, represented by the properties of the employee's body. Ethics. In preparing the article, the authors were guided by the Ethical principles of medical research set out in the Helsinki Declaration of the World Medical Association in the latest edition.

Active sampling as an information seeking strategy in primate vocal interactions

Active sensing is a behavioral strategy for exploring the environment. In this study, we show that contact vocal behaviors can be an active sensing mechanism that uses sampling to gain information about the social environment, in particular, the vocal behavior of others. With a focus on the real-time vocal interactions of marmoset monkeys, we contrast active sampling to a vocal accommodation framework in which vocalizations are adjusted simply to maximize responses. We conduct simulations of a vocal accommodation and an active sampling policy and compare them with actual vocal interaction data. Our findings support active sampling as the best model for real-time marmoset monkey vocal exchanges. In some cases, the active sampling model was even able to partially predict the distribution of vocal durations for individuals to approximate the optimal call duration. These results suggest a non-traditional function for primate vocal interactions in which they are used by animals to seek information about their social environments.

Exploring the influence of hydrogen bond donor groups on the microstructure and intermolecular interactions of amorphous solid dispersions containing diflunisal structural analogues

Drug-polymer intermolecular interactions, and H-bonds specifically, play an important role in the stabilization process of a compound in an amorphous solid dispersion (ASD). However, it is still difficult to predict whether or not interactions will form and what the strength of those interactions would be, based on the structure of drug and polymer. Therefore, in this study, structural analogues of diflunisal (DIF) were synthesized and incorporated in ASDs with poly(vinylpyrrolidone-co-vinyl acetate) (PVPVA) as a stabilizing polymer. The respective DIF derivatives contained different types and numbers of H-bond donor groups, which allowed to assess the influence of these structural differences on the phase behavior and the actual interactions formed in the ASDs. The highest possible drug loading of these derivatives in PVPVA were evaluated through film casting. Subsequently, a lower drug loading of each compound was spray dried. These spray dried ASDs were subjected to an in-depth solid-state nuclear magnetic resonance (ssNMR) study, including 1D spectroscopy and relaxometry, as well as 2D dipolar HETCOR experiments. The drug loading study revealed the highest possible loading of 50 wt% for the native DIF in PVPVA. The methoxy DIF derivative reached the second highest drug loading of 35 wt%, while methylation of the carboxyl group of DIF led to a sharp decrease in the maximum loading, to around 10 wt% only. Unexpectedly, the maximum loading increased again when both the COOH and OH groups of diflunisal were methylated in the dimethyl DIF derivative, to around 30 wt%. The ssNMR study on the spray dried ASD samples confirmed intermolecular H-bonding with PVPVA for native DIF and methoxy DIF. Studies of the proton relaxation decay times and 2D 1H–13C dipolar HETCOR experiments indicated that the ASDs with native DIF and methoxy DIF were homogenously mixed, while the ASDs containing DIF methyl ester and dimethyl DIF were phase separated at the nm level. It was established that, for these systems, the availability of the carboxyl group was imperative in the formation of intermolecular H-bonds with PVPVA and in the generation of homogenously mixed ASDs.

Античная культура и буддизм на дальнем Востоке эллинистического мира

The topic of the book by Olga Kubica, a professor at the University of Wroclaw, is the interaction between ancient Greek and Indian civilizations in the far East of the Hellenistic world in the epoch from the conquests of Alexander the Great to the emergence of the Kushan Empire. The influence of ancient artistic traditions on the fine arts of northwestern India (the so-called “Gandhāra school”) is well known, and it has been suggested on this basis that the influence of Greece extended to the philosophical and religious views of Indians. It was seen, in particular, in the themes and structure of the early Buddhist treatise “Milinda’s Questions” (Pali Milindapañha). However, the author of the monograph proves that the actual interaction of Greek and Indian cultures in the intellectual sphere was not so large and profound and therefore the term “Greco-Buddhism”, widespread in Oriental studies, has no sense. This conclusion is based on an deep analysis of extensive material, including not only texts, but also archaeological sites, numismatic data and other sources. Analyzing the material, the author uses, along with the usual philological methods of working with sources, also methods of sociology and cultural studies, considering the Greeks in Bactria and northwestern India as a social group that obeys all the laws of behavior of such objects interacting with society as a social system.

Out-of-plane interactive behavior and design of novel T-hooked buckling-restrained steel plate shear walls

To eliminate the use of a large number of connecting bolts for the cover panels in conventional buckling-restrained steel plate shear walls (BRSPSWs), T-hooked BRSPSW was proposed by using T-sectional stiffeners for restraining the out-of-plane deformation of the cover panels. With larger-sized flexural cover panels that provide confinement effects to the infilled steel plate, the out-of-plane interactive behavior between the infilled steel plate and each cover panel is greatly concerned for safe designs of the T-hooked BRSPSW. In this paper, a refined finite element (FE) model was established for evaluating the out-of-plane restraining effects in the T-hooked BRSPSW. The key parameters affecting the high-order buckling modes of the infilled steel plate were analyzed. The average spacing between adjacent buckling half-waves varied from 0.15 to 0.7 times the height of the steel sub-plate across common parameter ranges. Furthermore, a formula that estimates the total extrusion force produced by the buckled steel plate was corrected. By simplifying the cover panels into one-way flexural plates under uniform force, a flexural moment amplification coefficient in the range of 1.11 − 9.74 was defined to consider the difference between the actual strip-shaped interaction forces and the simplified model. Finally, a formula to calculate the bending moment of cover panels was proposed to safely design the T-hooked BRSPSWs.

Dialogue on ethics and ethics of dialogue: an exploratory study

We report on a study bearing implications for ethical learning in schoolchildren during social interaction. The study was conducted as part of a project aimed at promoting ethical learning of socially-oriented values within the context of dialogic education. 172 fourth graders from 7 classes participated in an 8-session series designed to foster empathy, inclusion, and tolerance. Two of these sessions (3 and 8) were pre-selected for analysis. We investigated (1) whether students’ discussion of ethical issues and the ethical aspects of their actual in-class interaction with each other can be reliably measured, and (2) what relation holds between students’ ethical thinking during classroom discussions and the ethical aspects of their behavior. We thus developed an analytical framework comprising two tools for appraising ethical thinking and behavior in in-class interaction: dialogue on ethics (DoE) and ethics of dialogue (EoD). This framework was applied to the dialogues taken from the two sessions. The DoE and EoD tools proved reliable, as inter-rater agreement was substantial. Moreover, the relation between children’s DoE and their EoD was positive where the topic posed for discussion presented a dilemma and students’ interaction proceeded under moderate teacher guidance. In contrast, it was negative when the discussion was conceptual, and the teacher was dominant. We conclude that (1) DoE/EoD is a suitable framework for studying children’s ethical learning and development in social interaction, and (2) ethical learning, in its epistemological and behavioral dimensions, can be boosted or inhibited in a context of dialogic education, depending on design principles.

A new empirical correlation of MMP prediction for oil – impure CO2 systems

CO2 flooding is a widely-used technique for enhancing oil production, with miscible CO2 flooding exhibiting higher recovery potential compared to both immiscible and near-miscible CO2 flooding. However, the problem of insufficient CO2 supply is increasingly critical in many reservoirs. When faced with a shortage of gas supply, the key to the successful implementation of miscible CO2 flooding lies in accurately predicting the MMP of impure CO2. This study leverages MMP data derived from both experimental and simulation results, utilizing both linear and nonlinear regression methodologies to formulate empirical correlations for MMP prediction. In addition, ridge regression is used to solve collinearity problem.Compared with former investigations, the impure CO2 correlation proposed in this study integrates the ratio of the specific injection gas mole fraction to the crude oil mole fraction as novel independent variables. This inclusion reflects the actual interaction between the specific injection gas and crude oil during the miscibility process. Furthermore, the correlation can be linearized to the greatest extent through this way and such linearization illustrates the fundamental concepts more distinctly, offering a more practical and comprehensible approach. This formula combines the prediction of the minimum miscible pressure with the interaction mechanism of the miscible process, and the dominant factors in the miscible process can be determined. In terms of reducing the minimum miscible pressure, the interaction between C4 + C5 in the injected gas and C1 + N2 in the crude oil component is the strongest, while the interaction between N2 in the injected gas and C2-6 in the crude oil was most significant in increasing the minimum miscible pressure by comparison.The correlations presented for impure CO2 yield an average absolute deviation of 2.18 % and sustain a relative deviation within ± 10 %, surpassing previously published correlations. This study highlights the accuracy and effectiveness of the developed correlations for estimating MMP for impure CO2. The suggested MMP correlation offers a practical and efficient means of determining MMP for the implementation of impure CO2 miscible flooding in the field.

Physiological synchronization and innovative moments in psychotherapy: A single-case study of micro-process.

Interpersonal synchronization is increasingly studied as a biomarker of empathy, therapeutic alliance, and treatment outcome. However, most studies average data over sessions, leaving associations between synchrony and actual interactions largely unexplored. We aim to showcase a novel approach examining synchronization during specific micro-processes: Innovative Moments (IM) as markers of exceptions to clients' problematic patterns of meaning. Electrodermal activity was recorded over 15 sessions of a psychodynamic psychotherapy single case. Moment-to-moment patient-therapist synchrony was calculated using the Adaptive Matching Interpolated Correlations (AMICo) algorithm. The Innovative Moments Coding System was utilized to identify IMs within session transcripts with precise timing. Monte-Carlo permutation tests were conducted to examine the association between physiological synchrony and IM Levels of increasing complexity (Levels 1-3). Higher-than-random synchronization emerged during Level 3 IMs (p = 0.046; d = 0.21) but not in lower Levels. Post-hoc qualitative analyses linked high synchrony to sub-processes of Level 3 IMs, such as positive contrasts and attributions for change. Our findings show it is possible to link moment-by-moment physiological co-regulation to theoretically identified meaning-making processes. While generalization of these observations is undue, this work demonstrates a robust and promising application of a multimodal approach to investigating psychotherapy, providing insights into both the clinical case and the theoretical model adopted.

Vehicle trajectory prediction based on attention optimized with real-scene sampling

Advancements in autonomous vehicles and deep learning have notably improved vehicle trajectory prediction accuracy. However, extracting interaction features in complex driving scenarios, such as vehicle-to-vehicle interactions and lane constraints, presents challenges. Deep learning-based methods struggle to achieve optimal predictive performance under limited computational resources. This study introduces a global attention mechanism to enhance feature extraction from driving scene encodings, focusing the decoder on interactive behaviours and boosting long-term prediction performance. An adaptive scheduled sampling model is employed, using actual driving scenarios probabilistically for training, addressing slow learning of actual driving behaviours and lack of initial feature correction. This method increases attention to actual interactions, reducing reliance on natural scenes and improving model generalizability. On the NGSIM dataset, sampling attention encoder-decoder (SAED) achieves a 1–5 s average displacement error (ADE) of 1.34 m, with 4 s and 5 s final displacement errors (FDEs) of 1.64 and 2.06 m, respectively. Compared to methods based on long short-term memory (LSTM), SAED reduces the model's storage space by 24.68% under the same network layer count. That demonstrates its effectiveness in extracting interactive behaviours in complex scenarios and enhances the accuracy of long-term predictions.