Time Distortion Research Articles

Exploring hypnotist trance: the experiences of skilled practitioners

ABSTRACT Milton Erickson first conceptualized the hypnotist trance (HT) as a unique psychological state developed in clinicians during hypnosis sessions. This qualitative study aimed to investigates HT through the experiences of 12 skilled Clinician Hypnosis Specialists (CHS). Data were collected via semi-structured face-to-face interviews, exploring participants’ attitudes toward HT, its impact on their practice, and their strategies for developing and regulating it. Thematic analysis revealed that most CHS view HT as enhancing empathy, communication, and therapeutic effectiveness. However, challenges such as time distortion, hypnotic regression, and countertransference issues were also noted. The study highlights HT’s dual nature – offering significant therapeutic benefits while presenting challenges that need careful management. These findings emphasize the importance of comprehensive HT training in hypnotherapy education and advocate for further research to explore HT across diverse contexts and expertise levels to deepen understanding of this complex phenomenon.

Testing gravity through the distortion of time

The accelerated expansion of the Universe might be due to modifications in the laws of gravity on very large scales. We showed that standard tests of gravity based on the observed motions of galaxies are insufficient and must be extended by including measurements of another effect: the distortion of time.

Distorted time perception in patients with neurocognitive impairment

BackgroundTime perception is known to be distorted in patients with neuropsychiatric disorders. Therefore, this study aims to investigate the correlation between cognitive decline and time distortion by examining time perception in participants with neurocognitive impairment (Alzheimer's disease [AD], vascular dementia [VD], and Parkinson's disease dementia [PDD]) compared to those with subjective cognitive impairment (SCI). MethodsOverall, 569 participants with cognitive decline complaints between 2013 and 2022 were investigated. Participants were subjected to a verbal estimation task, time production task, time comparison task, and neuropsychological assessments. ResultsTime perception abilities were distorted in patients with neurocognitive impairment compared to those with SCI. Despite similar educational backgrounds, the vascular cognitive impairment (VCI)/VD group demonstrated the lowest MMSE scores (22.4 ± 4.2, p-value <0.001) and larger time-estimation errors. Patients with VCI/VD significantly underestimated time in the 35-s (19.6 ± 12.6s) and 60-s (28.7 ± 19.9s) tasks. In the time production task, patients with VCI/VD produced shorter times in their 15-s (12.7 ± 4.3; p-value = 0.001), 30-s (23.6 ± 8.3; p value < 0.001), and 60-s (43.8 ± 18.9; p-value <0.001) trials. In the time comparison task, the VCI/VD group had significantly fewer correct answers than that in the SCI groups (6.0 ± 1.3 vs. 7.1 ± 0.9, p-value <0.001). Correlation analysis revealed that multiple cognitive functions are involved in the time perception tasks. ConclusionsPatients with VCI/VD had the poorest time perception. These findings may provide a modest contribution to understanding the underlying pathophysiology and psychological connections related to temporal abilities in time perception.

Enhancing clinical law education through immersive virtual reality: A flow experience perspective

BackgroundThe existing literature lacks experimental studies that provide a genuine virtual reality experience, particularly within the context of the flow experience, as it relates to clinical legal education. AimsThis study investigates the impact of immersive Virtual Reality (VR) on clinical law education, with a particular focus on the flow experience. SampleEighty-three law students participated in case practices. MethodThe study adopted an experimental design that included a random post-test control group, two distinct VR environments, immersive VR and desktop VR, were employed to create authentic scenarios mirroring real-life legal cases, and differences between the groups were tested using One-Way Multivariate Analysis of Variance (MANOVA). ResultsThe results revealed that immersive VR significantly enhances the flow experience of law students compared to desktop VR. Participants in the immersive VR group demonstrated higher levels of focused attention, telepresence, time distortion, and interaction, indicating a more profound immersion. Surprisingly, there was no significant difference in terms of enjoyment between the two groups, contradicting previous research in this area. ConclusionsThis study is pioneering in its approach, offering a unique contribution to the field of law education. It highlights the potential of immersive VR as a valuable tool for enhancing clinical legal education and creating more engaging learning experiences. Expanding the use of these virtual environments to both practical and theory-based learning methods presents an exciting avenue for further exploration in the field of legal education.

Perceived Versus Actual Time of Prehospital Intubation by Paramedics.

Situational awareness is essential during emergent procedures such as endotracheal intubation. Previous studies suggest that time distortion can occur during intubation. However, only in-hospital intubations performed by physicians have been studied. We aimed to determine whether time distortion affected paramedics performing intubation by examining the perceived vs actual total laryngoscopy time, defined as time elapsed from the laryngoscope blade entering the mouth until the endotracheal tube balloon passes the vocal cords. For this retrospective study we collected prehospital intubation data from a suburban, fire department-based emergency medical services (EMS) system from January 5, 2021-May 21, 2022. The perceived total laryngoscopy time was queried as a part of the electronic health record. Video laryngoscopy recordings were reviewed by a panel of experts to determine the actual time. Patients >18 years old who underwent intubation by paramedics with video laryngoscopy were included for analysis. The primary outcome was the difference between actual and perceived total laryngoscopy time. Secondary analysis examined the relationship between high time distortion, defined as the highest quartile of the primary outcome, and patient age, paramedic years of experience, perceived presence of difficult anatomy, excess secretions, use of rapid sequence intubation, and multiple intubation attempts. We conducted descriptive analysis followed by logistic regression analysis, chi-square tests, and Fisher exact tests when appropriate. A total of 122 intubations were collected for analysis, and 10 were excluded due to lack of video recording. Final analysis included 112 intubations. Mean actual laryngoscopy time was 50.0 seconds (s) (95% confidence interval [CI] 43.7-56.3). Mean perceived laryngoscopy time was 27.8 s (95% CI 24.7-31.0). The median difference between actual and perceived time was 18 s (interquartile range 6-30). We calculated high time distortion as having a difference greater than 30 s between actual and perceived laryngoscopy time. None of the secondary variables had statistically significant associations with high time distortion. Overall, we show that the paramedic's perception of total laryngoscopy time is significantly underestimated even when accounting for paramedic experience and perceived airway difficulty. This study suggests that time distortion may lead to an unrecognized prolonged procedure time. Limitations include use of a convenience sample, small sample size, and potential uncollected confounding variables.

Postmodern Approach to History in the Novel "Selvitë E Tivarit" by M.Kraja

This study article aims to analyze the special way through which the important events of the historical past are integrated into the fiction of the writer Mehmet Kraja with the aim of ironizing and not documenting them. Our main argument is that in the novel "Selvitë e Tivarit" the historical context of the Tivari War is effectively portrayed through postmodern narrative tools and techniques, which highlight doubt and unreliability towards references and the absolute authenticity of historical narratives. The use of techniques such as the presence of a "dubious" narrator's voice, fragmentation, time distortion, ironic representation, etc., appear as postmodern strategies that play an important role in blurring the boundaries between reality (truth) and fiction and enable the thematization of important issues of history, culture, and human and national identity. Our methodology includes the use of analysis methods, which will enable us to delve into the interior of the text, at the levels of narration and discourse, as well as the comparative method to highlight the differences and commonalities between traditional and contemporary models of historical fiction.

Effects of hand catalepsy on subjective trance perception and relative parasympathetic tone in healthy volunteers during pleasant hypnotic session: a randomized controlled study.

This study was designed to evaluate the effects on hand catalepsy on parasympathetic tone assessed using Analgesia/Nociception Index (ANI) and on subjective rating of absorption, dissociation, and time perception among healthy volunteers. This was a randomized controlled trial including participants to a medical hypnosis congress in France. Ninety volunteers were randomized in two arms, all receiving a fifteen-minute positive hypnotic trance, with or without hand catalepsy. The relative parasympathetic tone assessed by ANI (Analgesia/Nociception Index), heart rate and respiratory rate were recorded at different times of the study protocol. The actual duration of the hypnotic session, calculated from eye closing to eye opening, was also recorded. At the end of the hypnotic trance, participants subjectively rated their level of absorption and dissociation on a 0-10 scale. They were also asked to estimate the duration of the hypnotic session from eye closing to eye opening. In total, ninety subjects were included in the study. One subject was excluded because of deviation in the protocol standard, leaving eighty-nine subjects for analysis. Subject characteristics were similar between groups. There was a statistically different increase in ANI and decrease in both heart rate and respiratory rate over time with no difference with or without hand catalepsy. There was no statistically significant difference in absorption and dissociation subjective scales between groups. The median [Q1-Q3] actual duration of hypnotic sessions was similar between the catalepsy and the control groups (9 [8-10] min vs. 8 [7-10] min, respectively). However, subjects in the catalepsy group estimated a longer duration of the hypnotic session (12 [10-15] min) than in the control group (10 [5-10] min) with a mean ± SD overestimation of 3 ± 4min (p < 0.001). Parasympathetic comfort increased during the hypnotic trance with no difference between groups. However, adding hand catalepsy to a pleasant hypnotic trance did not appear to increase feelings of absorption or dissociation but created time distortion on the longer side that could be useful in some clinical settings. Nevertheless, further study is still needed to determine more precisely the physiological and psychological effects on hand catalepsy during the hypnotic trance.

High-throughput fluorescence quantification method based on inner filter effect and fluorescence imaging analysis

The application of the inner filter effect (IFE) in fluorescent substance determination is gaining popularity. In this paper, a theory of the fluorescence distribution along with the excitation light path is derived from our previous research about the spatial micro-element method. According to the relationship between the summation of fluorescence intensities along the vertical direction at a certain position on the excitation light path and the position, a high-concentration and wide-range fluorescent substance quantification method based on the IFE and fluorescence imaging analysis is proposed. Correspondingly, a high-throughput fluorescent substance quantification detection system is constructed. In order to validate the method, solutions of rhodamine B in different concentrations are used for principle validation, concentration prediction, and experimental investigation on the influence of integration time and lens distortion. The high-throughput system enables the simultaneous measurement of six samples, realizing the high-concentration and wide-range quantification of rhodamine B (100–600 mg/L) with high precision (R2 = 0.9992, MRE = 2.34 %). By setting the filter wheel, the system can measure the concentration of fluorescent substances with different emission wavelengths. The improvement of experimental device is expected to reduce the single sample capacity to tens of microliters and increase the overall sample quantity to tens or even hundreds. The proposed method and system are beneficial to fluorescence measurement in fields such as biomedicine and dye research and to the improvement of high-throughput fluorescence quantitative PCR instruments.

Performance Evaluation of the B4 Topology for Implementing Grid-Connected Inverters in Microgrids

The B4 topology is an interesting alternative to the conventional B6 inverter due to its reduced number of parts and lower cost. Although it has been widely used in the past, especially in low-power motor drive applications, its application as a grid-connected inverter is an open area of research. In this regard, this paper analyses the feasibility of the B4 inverter topology for grid-connected applications. A versatile 7 kW inverter prototype, which may be configured as B4 and B6, was built, allowing for a comprehensive evaluation of the performance of both topologies. Through an analytical study and experimental tests, the performance of the B4 and B6 topologies was comparatively evaluated in terms of efficiency, total harmonic distortion of line currents, current unbalance, cost, and mean time between failures. The study was carried out in the context of microgrid systems, highlighting their role in the integration of renewable energy and distributed generation.

Induction of altered states of consciousness during Floatation-REST is associated with the dissolution of body boundaries and the distortion of subjective time

Floatation-REST (Reduced Environmental Stimulation Therapy) minimizes stimulation of the nervous system by immersing subjects in an environment without sound or light while they effortlessly float in thermoneutral water supersaturated with Epsom salt. Here we investigated the relationship between altered states of consciousness (ASC) and its association with the affective changes induced by Floatation-REST. Using a within-subject crossover design, 50 healthy subjects were randomized to 60 min of Floatation-REST or 60 min of Bed-REST (an active control condition that entailed lying supine on a warm waterbed in a dark and quiet room). Following Floatation-REST, subjects felt significantly more relaxed, less anxious, and less tired than after Bed-REST. Floatation-REST also induced significantly more pronounced ASC characterized by the dissolution of body boundaries and the distortion of subjective time. The loss of body boundaries mediated the loss of anxiety, revealing a novel mechanism by which Floatation-REST exerts its anxiolytic effect.

Elimination of Random Mixed Noise in ECG using Convolutional Denoising Autoencoder with Transformer Encoder.

Electrocardiogram (ECG) signals frequently encounter diverse types of noise, such as baseline wander (BW), electrode motion (EM) artifacts, muscle artifact (MA), and others. These noises often occur in combination during the actual data acquisition process, resulting in erroneous or perplexing interpretations for cardiologists. To suppress random mixed noise (RMN) in ECG with less distortion, we propose a Transformer-based Convolutional Denoising AutoEncoder model (TCDAE) in this study. The encoder of TCDAE is composed of three stacked gated convolutional layers and a Transformer encoder block with a point-wise multi-head self-attention module. To obtain minimal distortion in both time and frequency domains, we also propose a frequency weighted Huber loss function in training phase to better approximate the original signals. The TCDAE model is trained and tested on the QT Database (QTDB) and MIT-BIH Noise Stress Test Database (NSTDB), with the training data and testing data coming from different records. All the metrics perform the most robust in overall noise and separate noise intervals for RMN removal compared with the baseline methods. We also conduct generalization tests on the Icentia11k database where the TCDAE outperforms the state-of-the-art models, with a 55% reduction of the false positives in R peak detection after denoising. The TCDAE model approximates the short-term and long-term characteristics of ECG signals and has higher stability even under extreme RMN corruption. The memory consumption and inference speed of TCDAE are also feasible for its deployment in clinical applications.

Wind Speed Ramp Rate Predictions Using Wind Farm SCADA Data Assimilation and a WRF Ensemble

This study presents a novel method for improving wind power ramp events forecasts up to six hours ahead by utilizing data assimilation of SCADA measurements with an ensemble of Weather Research and Forecasting (WRF) models estimates. Leveraging data from nine wind farms in France and Belgium, the approach aims to improve WRF model predictions for wind speed and ramp event timing. The methodology employs grid and observational nudging techniques, enhancing model accuracy by incorporating real-time observational data. Key findings demonstrate that nudging significantly reduces Mean Absolute Error (MAE), decreases the Time Distortion Index (TDI), and increases the Probability of Detection (POD) of ramp events. Nudged ensemble members outperform non-nudged counterparts, exhibiting better accuracy in identifying true ramp events and reducing false alarms. MAE, TDI and POD improvements are as high as 3.7%, 8.5% and 37%, respectively. The study also explores the benefits of an ensemble approach, highlighting improved accuracy in predicting ramp rate magnitudes and providing valuable insights for grid stability management. This research contributes to wind power forecasting, showcasing the importance of integrating SCADA data into predictive models.

공감적 발문에 기초한 하브루타 프로그램이 예비교사의 학습몰입에 미치는 효과

This study aimed to develop a Havruta program to improve pre-service teachers' flow in learning to verify its effectiveness. The subjects of the study were 40 preservice teachers taking teaching courses at K University in Seoul and were randomly assigned to experimental and control groups. The experimental group participated in the Havruta discussion activity for eight weeks, while the control group did not participate in the Havruta discussion activity. The learning flow measurement tool was adapted from Park's (2015) measurement questionnaire and modified to suit the purpose of this study after consulting three experts. According to the results of the study, the experimental group showed significant differences in the time distortion of learning experience and self-purposeful experience of learning outcomes than the control group, indicating that the Havruta program had a positive effect on preservice teachers' flow in learning. The significance of this study is that it suggests a specific design method for a Havruta program that is effective in preservice teachers’ flow in learning, and that it is structured in such a way that it can be generalized and utilized by presenting specific texts and empathic questioning for Havruta.

Awe and time perception

The aim of this study was to systematically examine the effect of awe-inducing stimuli on the judgment of time. Three experiments were conducted using temporal bisection tasks in which participants viewed awe-inducing and no awe-inducing images presented for different durations and were asked to judge whether their duration was similar to a short or long anchor duration. Images of panoramic landscapes and images of the faces of well-known and admired people were used in experiments 1 and 2, respectively. In experiment 3, they did not judge the duration of the images, but that of a neutral stimulus occurring during the presentation of images. In each experiment, participants rated the awe-inducing and no-awe-inducing images according to their components: admiration, beauty, awe, emotional valence, arousal, symbolic self-size, and full-body self-size. Results consistently showed significant time distortions when participants viewed the different awe-inducing images compared to the no-awe images, although the effect was weaker for the images of faces than for those of landscapes. Time distortion took the form of temporal lengthening in Experiments 1 and 2 and shortening in Experiment 3. These different temporal distortions are consistent with attention effects due to awe-inducing stimuli which capture attention to the detriment of time processing.

Pre-excitation gradients for eddy current nulled convex optimized diffusion encoding (Pre-ENCODE).

To evaluate the use of pre-excitation gradients for eddy current-nulled convex optimized diffusion encoding (Pre-ENCODE) to mitigate eddy current-induced image distortions in diffusion-weighted MRI (DWI). DWI sequences using monopolar (MONO), ENCODE, and Pre-ENCODE were evaluated in terms of the minimum achievable echo time (TE ) and eddy current-induced image distortions using simulations, phantom experiments, and in vivo DWI in volunteers ( ). Pre-ENCODE provided a shorter TE than MONO (71.0 17.7ms vs. 77.6 22.9ms) and ENCODE (71.0 17.7ms vs. 86.2 14.2ms) in 100 of the simulated cases for a commercial 3T MRI system with b-values ranging from 500 to 3000 s/mm and in-plane spatial resolutions ranging from 1.0 to 3.0mm . Image distortion was estimated by intravoxel signal variance between diffusion encoding directions near the phantom edges and was significantly lower with Pre-ENCODE than with MONO (10.1 vs. 22.7 , ) and comparable to ENCODE (10.1 vs. 10.4 , ). In vivo measurements of apparent diffusion coefficients were similar in global brain pixels (0.37 [0.28,1.45] mm /s vs. 0.38 [0.28,1.45] mm /s, ) and increased in edge brain pixels (0.80 [0.17,1.49] mm /s vs. 0.70 [0.18,1.48] mm /s, ) for MONO compared to Pre-ENCODE. Pre-ENCODE mitigated eddy current-induced image distortions for diffusion imaging with a shorter TE than MONO and ENCODE.

2020 feels slow, long, and far away: Time distortion due to the COVID‐19 pandemic

AbstractThe COVID pandemic has been an unforeseen situation in which uncertainty, social distance, loss of stability, and significant changes have proven to have detrimental effects on people's well‐being and on mental health. The aim of the present study is to determine changes in subjective time speed, duration, and time distance, and to consider the factors that may have contributed to this subjective distortion. A questionnaire was designed to explore time perception along with autobiographical recollection, mental and physical activity, and mood before, during, and after the pandemic. Analysis revealed that the pandemic period differed from before and after on every scale; subjects reported relatively lower values on autobiographical memory for the pandemic period; felt this time period to be further away, slower, and longer; were less active; and had a more negative mood. A structural equation model revealed that mood was the main predictor of subjective time distortion.

First-break prediction in 3-D land seismic data using the dynamic time warping algorithm

SUMMARY This paper presents a new methodology to assist geophysicists in determining the first-break event in a 3-D seismic data set using the well-known technique called dynamic time warping algorithm (DTW), which is usually used to find the optimal alignment between two time-series. We used the optimal path from the cost matrix to identify the first break in the seismogram using a few picks (seeds) made by an interpreter as a reference to perform this task. Furthermore, the data were pre-conditioned by the topographic and linear moveout to improve the method’s accuracy. To demonstrate the technique’s robustness, first, we applied the methodology in a synthetic seismic data. After demonstrating the efficiency of the algorithm, we applied the aforementioned methodology in the Polo-Miranga 3-D seismic cube located in the Recôncavo sedimentary basin, Bahia-Brazil, and in the seismic data acquired from the Blackfoot field in Alberta, Canada. The high-quality results showed consistency in determining the first break in all ranges of offsets, demonstrating an alternative way to accelerate this seismic processing step. Furthermore, we compared the results obtained by the proposed methodology with an algorithm based on comparing the short-time averages with long-time averages. Finally, we performed the static correction calculation to ensure that the time distortion resulting from the terrain and the low-velocity layer was mitigated in shoot gathers and in the stacked section.

Enhancing peak prediction in residential load forecasting with soft dynamic time wrapping loss functions

Short-term residential load forecasting plays a crucial role in smart grids, ensuring an optimal match between energy demands and generation. With the inherent volatility of residential load patterns, deep learning has gained attention due to its ability to capture complex nonlinear relationships within hidden layers. However, most existing studies have relied on default loss functions such as mean squared error (MSE) or mean absolute error (MAE) for neural networks. These loss functions, while effective in overall prediction accuracy, lack specialized focus on accurately predicting load peaks. This article presents a comparative analysis of soft-DTW loss function, a smoothed formulation of Dynamic Time Wrapping (DTW), compared to other commonly used loss functions, in order to assess its effectiveness in improving peak prediction accuracy. To evaluate peak performance, we introduce a novel evaluation methodology using confusion matrix and propose new errors for peak position and peak load, tailored specifically for assessing peak performance in short-term load forecasting. Our results demonstrate the superiority of soft-DTW in capturing and predicting load peaks, surpassing other commonly used loss functions. Furthermore, the combination of soft-DTW with other loss functions, such as soft-DTW + MSE, soft-DTW + MAE, and soft-DTW + TDI (Time Distortion Index), also enhances peak prediction. However, the differences between these combined soft-DTW loss functions are not substantial. These findings highlight the significance of utilizing specialized loss functions, like soft-DTW, to improve peak prediction accuracy in short-term load forecasting.

Embodiment in Virtual Reality and Augmented Reality Games: An Investigation on User Interface Haptic Controllers

Undoubtedly, virtual reality technologies stand out as one of the most rapidly expanding domains in the present era. Apart from features like clarity of vision, viewing angle and time distortion that are improving daily, user interfaces are another crucial part of this technology that is not talked about much but must be. This study investigates and summarizes the literature on wearable technology and haptic controllers, which serve as the player’s interface between virtual and augmented reality. The controllers and devices we investigate, try to achieve a holistic approach in the experience thus it appears to be a rich soil for future studies. Although many technological advancements and entirely new ones are anticipated, a thorough analysis of the phenomena of interaction, participation, and integration, as well as embodiment and presence, should shed light on the question of its scope, depth, assessment, and limitations.

The Impact of Non-linear Narrative Structures on Better Character Development in Animated-short Movies

Nonlinear narrative structures are infrequently used in animated short films and their benefits seems to be relatively neglected in comparison with cinema. Yet, the revolutionary potential of utilizing such structures in animated short films is endless. Nonlinear narratives provide techniques and tools which helps in better introduction and development of characters, resulting in in-depth emotional involvement of the audience. Such engagement is viable without the emphasis which classical structure puts on irrevocable principles such as linear timeline. This paper discusses the impact of nonlinear narrative structures in four animated short films, “The coin” (2019), “Negative Space” (2017), “Late afternoon” (2017), “The boy who saw the iceberg” (2000), which demonstrate a restructure of temporal factors. Each of these films is not only taking advantage of an exclusively tailored nonlinear structure using time distortion, they are also enforcing the impact they have on the way characters are delineated which could be inspired by other film-makers in animation. This paper discusses such innovative potentials in narrative structure of animated short films by relying on David Bordwell classical narration theories in “Narration in the fiction film” (1985), which are then diversified into nonchronological structures according to temporal feature of the narration. The present study argues that not only applying various nonlinear storytelling structures is possible in the context of animated short films, it also provides film-makers with measures and capabilities to achieve memorable and engaging characters.