The article explains that it will probably soon be possible to travel through time on Earth.. And such a possibility is created by the corrected version of the special theory of relativity (SRT). But the version of SRT studied in all physics textbooks states that time travel on Earth will never be available to people. Nevertheless, ignoring this opinion of the generally recognized service station, currently millions of air passengers already travel through time every day, which is confirmed by the translation of their watches to local time after landing the plane.

Neural correlates of self-advantage effect in mental time travel in individuals with high levels of schizotypal traits: A resting-state functional connectivity study.

With the rapid evolution and development of artificial intelligence and intelligent learning, the creation of realistic deepfake multimedia content has become accessible and is raising substantial requirements for digital security and media authenticity. While prevailing methods rely profoundly on deep learning and transformer driven practices, their computational cost, resource usage and sensitivity towards dataset bias prevent real-world usage and deployment. This work studies several practices for perceiving deepfake content in images and videos, analyzing state-of-the-art techniques, Convolutional Neural Network, Xception, ResNet50 and propose hybrid approach (DAAL-NET) with lightweight, Bi-stream artifact-resistant deepfake content detection capabilities to simultaneously learn spatial patterns, cues, and temporal motion inconsistencies. The framework combines three significant novelties: (1) a Local Forensics Encoder with Learnable Frequency Attention mechanism to analyze high-frequency manipulation; (2) a Motion Irregularity Encoder with depth wise temporal convolutions and gated recurrent units to obtain frame-level motion gaps; and (3) a Multi-Stream Interaction Module for bidirectional spatial temporal fusion using cross-attention. A scientifically trained Artifact Confidence Calibration Layer is proposed to improve probability and reliability. Experiments supervised on Datasets of Celeb- DF(v2) and Kaggle exhibit that the proposed hybrid approach enhances macro- F1, calibration error, and temporal robustness compared to baseline models. The proposed model obtains a competitive outcome under constrained computational resources, making it appropriate for forensic applications, real-world media authentication systems, low-power deployments, and scalable deepfake screening pipelines.

ABSTRACT Multiple possibilities can be constructed in mental time travel into the past or future. This study examined how considering alternative outcomes (“be better/worse”) influences the phenomenological characteristics of remembering and imagining, assessed through participant ratings and content analysis. College students (N = 136) reported positive and negative personal events and possible future events. Prior to reporting their selected events, participants were randomly assigned to imagine events to be better, worse, or a control condition. Contemplating any alternative outcome reduced phenomenological ratings relative to the control condition. Event valence and temporal directions continued to play important roles in phenomenological characteristics. These findings provide insights into the adaptive function of mental time travel.

Abstract. This paper presents an immersive 4D digital platform designed to communicate and critically explore the transformation of the Temple of Debod in Madrid while supporting public understanding of ongoing conservation debates. This platform uses 360º panoramas of strategic points of the Temple. The platform enables “time travel” through three coherent states: the Temple’s original Nubian setting, its current condition in Madrid, and a plausible future scenario in which a protective museum envelope mitigates environmental stress. Rather than offering a conventional virtual tour, the work focuses on the integration of heterogeneous temporal content, reality-based documentation, historically grounded reconstructions, and a speculative yet technically consistent conservation proposal, within a single interactive environment.The result is a spatio-temporal narrative that makes change, relocation, and conservation choices visible and comparable. By combining immersive navigation, interpretive layers, and transparent scenario-building, the platform reframes documentation as a tool for dialogue: not only about what the monument is, but also about what it has become and what it could be.

ABSTRACT This article argues that Singapore speculative fiction seeks to challenge hegemonic national mythos and imagines alternative approaches to Singapore’s historiography, by examining Ng Yi-Sheng’s (2018) time-travel short story “Garden” via a postcolonial speculative framework. Firstly, the article demonstrates how the narrative’s branching structure disrupts linear time and destabilizes the conventional idea of teleological civilizational progress in Singapore’s national narrative. It then investigates the ideological estrangement of founding fathers Stamford Raffles and Lee Kuan Yew in the narrative to critique the state’s (neo)colonial paternalism, while highlighting the subaltern in Singapore history through queer female companionship and regional networks of exchange and solidarity. Lastly, the article explores how “Garden” integrates speculative futures as part of its future history, suggesting processes of myth-making and myth-breaking that are collaborative, cyclical, and constantly reinvented to challenge colonialist paradigms of time and historiography.

Optical flow, inspired by biological visual systems, calculates spatial motion vectors aiming to enable robotics to excel in dynamic environments. However, current algorithms, despite human-competitive task performance on benchmark datasets, suffer from significant time delays, limiting practical deployment. Here, we introduce a neuromorphic temporal-attention hardware that emulates the interaction between the retina and the lateral geniculate nucleus (LGN) to extract temporal motion cues directly in hardware. Using a two-dimensional synaptic transistor array, the system encodes brightness changes and accumulates them in analog, non-volatile states, generating compact regions of interest (ROIs). These ROIs then act as inputs to conventional downstream optical flow and vision algorithms, enabling ultrafast motion analysis. At the hardware level, the synaptic transistor offers high-frequency response (~100 μs), non-volatility (>10,000 s), and endurance (>8,000 cycles). Compared to state-of-the-art algorithms, our approach demonstrates a 400% speedup, surpassing human-level performance while maintaining or improving accuracy through temporal priors.

Accurate detection of pituitary microadenomas is critical for the diagnosis and treatment of Cushing's disease (CD). However, conventional MRI often has limited resolution and thick slices, leading to missed lesions and suboptimal surgical planning. This study investigates the diagnostic utility of artificial intelligence-assisted compressed sensing (ACS) applied to conventional anatomical MRI, combined with DCE-MRI using united Compressed Sensing with Radial Acquisition (uCSR), aiming to improve spatial resolution and lesion detection without prolonging scan time, while uCSR enhances temporal resolution and motion robustness in dynamic contrast imaging. This prospective study included 61 patients with surgically confirmed Cushing's disease who underwent both conventional and ACS-accelerated MRI sequences, including T2WI, contrast-enhanced T1-weighted imaging (T1WI-C), and delayed FLAIR, along with DCE-MRI using uCSR technique. Image quality assessments and lesion detection rates were compared. Pharmacokinetic parameters (Ktrans, Kep, Ve) derived from DCE were evaluated across lesion types. A total of 61 patients (median age, 42 years old; 56% female) were included, with 71 lesions identified, including 9 patients with multiple lesions and 2 patients with ectopic lesions. ACS-T1WI-C achieved higher image clarity scores compared with conventional T1WI-C (4.7 ± 0.3 vs 4.1 ± 0.6; P < 0.001) and higher signal-to-noise ratio (SNR, 30.1 ± 3.4 vs 22.3 ± 2.4; P < 0.001). Similarly, ACS-T2WI showed higher contrast-to-noise ratio (CNR, 12.4 ± 3.1 vs 8.5 ± 2.3; P < 0.001). Across all sequences, the combination of ACS-T1WI-C and delayed FLAIR detected all 71 lesions, corresponding to a sensitivity of 94.9% and specificity of 93.5%, significantly higher than conventional sequences (P < 0.001). Interobserver agreement for lesion detection was excellent (κ = 0.91) for ACS sequences. Multiple lesions (14.7%) showed significant pharmacokinetic differences; adrenocorticotropic hormone (ACTH)-secreting adenomas demonstrated significantly lower Ktrans and Kep compared with Rathke's cysts and non-functional adenomas (P < 0.01). ACS significantly improves image quality and lesion detection in CD, providing high-resolution imaging without extending acquisition time. uCSR-based DCE-MRI further aids lesion-type differentiation, contributing to more accurate preoperative localization and diagnosis.

Ultrafast and reliable visual perception is essential for obstacle avoidance in autonomous driving, where split-second decisions must be made in complex, high-speed environments, yet remains constrained by the limited temporal resolution and processing latency of conventional devices. Here, inspired by the exceptional temporal resolution of falcon vision systems (>150Hz), we develop a neuromorphic vision sensor capable of ultrafast, edge-selective perception for dynamic traffic scenarios. The sensor leverages vertically stacked, edge-rich SnS2/MoS2 van der Waals heterostructures, in which a high density of atomic-scale interfaces and defective edges enables enhanced light-matter interactions and rapid carrier dynamics. These structural advantages endow the Falcon Vision Sensor (FVS) with synaptic plasticity (PPF = 201%, LTP = 1300s), high refresh rate (250Hz), and intrinsic erasure behaviors, closely mimicking the temporal precision and motion discrimination features of falcon vision. When the synaptic devices are integrated with computing modules, the system achieves real-time obstacle detection, along with a directional motion recognition accuracy of 98.89%. This work demonstrates a robust biologically inspired visual intelligence, offering a compact, low-latency solution for next-generation autonomous vehicles and edge AI applications requiring rapid environmental responsiveness.

The present paper aims to honor the memory of one of the most notable figures in psychological science over the past five decades, Philip G. Zimbardo, who sadly passed away in late 2024. To this end, we provide a multi-perspective view on psychological time-a topic that deeply engaged Phil Zimbardo during the later stages of his prolific career. From the basic mechanisms of mental time travel to the experience of the passage of time, the phenomena of temporal construal, intertemporal choices, and complex representations of future selves, as well as the concepts of balanced time perspectives and temporal metacognition, the authors of this article construct this symbolic memoir by linking their own ideas and research with Zimbardo's time perspective theory. In the concluding part of the paper, we propose that temporality-related processes and traits constitute a fundamental part of personality and seek to highlight the pathways through which considering psychological-temporal phenomena may advance personality science and even serve as a unifying theme for various approaches to personality.

Video-based training has proven useful for motor learning, particularly when combined with motion feedback. However, the integration of real-time feedback into instructional videos has not been sufficiently explored. This study aimed to develop and explore innovative real-time feedback methods to enhance video-based motor learning. Twenty-seven participants (15 women, 12 men) were assigned to three feedback groups and one control group, who learned a choreography in an initial pilot study. The feedback groups received real-time comparisons of their own motions with those of an instructor. Group A was provided with a proportionally adjusted virtual instructor skeleton superimposed on their movements. Group B’s motions were transparently overlaid on the instructor's video. Group C viewed the instructor’s demonstration alongside a mirror view displayed of themselves. Group D (control) trained using only the instructor’s video, mimicking home-based tutorial formats. Motion tests performed without feedback revealed adaptation across all groups. Temporal motion adaptation was highest in Group A, while spatial motion adaptation was highest in Group B. Findings suggest that motion superimposition is a promising approach for visualizing motion discrepancies. Each method exhibited unique characteristics in the learning process, including different learning curves (e.g., Group A showing adaptation in the second half of the training) and varying levels of adaptation across different exercises and body parts (e.g., Group B experienced arm motion adaptation in squats). While these novel real-time feedback techniques demonstrate potential, further research is required to examine the relationships between feedback modalities and motor learning outcomes, specifically regarding the visualization of motion comparisons.

Mental time travel and mental health in Native Americans.

Network dynamics between digital media use and depressive symptomatology: A computational phenotyping approach using ecological momentary assessment.

Collective remembering and imagining futures.

Optical Flow-based temporal displacement correction for Time-Consistent Multi-Satellite wind field reconstruction

Recent advancements in rendering dynamic humans using NeRF and 3D Gaussian splatting have made significant progress, leveraging implicit geometry learning and image appearance rendering to create digital humans. However, in monocular video rendering, there are still challenges in rendering subtle and complex motion from different viewpoints and states, primarily due to the imbalance of viewpoints. Additionally, ensuring continuity between adjacent frames when rendering from novel and free viewpoints remains a difficult task. To address these challenges, we first propose a pixel-level motion correction module that adjusts the errors in the learned representation between different viewpoints. We also introduce a temporal information-based model to improve motion continuity by leveraging adjacent frames. Experimental results on dynamic human rendering, using the NeuMan, ZJU-Mocap, and People-Snapshot datasets, demonstrate that our method outperforms state-of-the-art techniques both quantitatively and qualitatively.

From Lymph Nodes to Orbit: a Time Travel in IgG4-related Disease.

This study analyzes the narrative structure of the SORE: Wife from the Future with a focus on the time loop pattern and its integration with time travel elements. The main objective of this study is to examine how the temporal configuration in this film works and to identify possible extensions to the time loop typology formulated by Brütsch. This study uses a descriptive qualitative approach with narrative and interpretive analysis methods of the scenes, dialogues, and time repetition structure in the film. The results show that SORE: Wife from the Future does not fully fit into the four existing variants of the time loop typology, but rather combines the characteristics of several variants simultaneously. This film introduces a hybrid form that combines an external mission (preventing death) and internal transformation (inner healing), as well as uniting time travel and time loops in a cohesive structure. These findings encourage the formulation of a fifth variant in the time loop typology and demonstrate the relevance of the hypertime approach in explaining the logic of transitions between timelines. Keywords: time loop, time travel, temporal structure, SORE: Wife from the Future film

Potential tourists may project their upcoming travel in two directions of mental time travel: from the present to the posttravel future, and from a mentally simulated posttravel future back to the present. Based on regulatory focus theory, this study examined the matching effect of the mental time travel direction and tourism activity type on tourist intention, as well as the mediating role of tourist expectation. The results show that for challenging (relaxing) tourism activities, mental time travel from the future back to the present (from the present to the future) is more effective in stimulating potential tourists’ travel intentions. Tourist expectations mediate this process. This study advances the theoretical application of mental time travel in tourism research and offers practical implications for the marketing of tourism activities.

Background: Pre-exposure prophylaxis (PrEP) offers over 99% protection against HIV when used consistently, but stigma continues to undermine persistence in care. While much research has described the external manifestations of PrEP-related stigma, less is known about how individuals cope with these stigmas and how such coping processes influence persistence. Guided by Social Cognitive Theory, this study examined the psychosocial strategies men who have sex with men (MSM) in Tanzania use to cope with PrEP-related stigma and sustain persistence in care. Methods: Thirty-two in-depth interviews were conducted with purposefully selected MSM aged 18–38 years at Ngamiani Health Centre in Tanga region. The sampling included both persistent and non-persistent PrEP users with variation in age and sexual position preferences. Participants were sampled for variation in persistence status (persistent and non-persistent), age, and sexual position preference to capture heterogeneity in stigma experiences and coping processes. Interviews were conducted in Kiswahili, audio-recorded, transcribed, translated, and analyzed using reflexive thematic analysis. Results: Participants described PrEP-related stigma as socially constructed through narratives that equated PrEP with HIV treatment, labeled it a “gay pill,” associated it with promiscuity, or linked it to bodily harm or increased HIV risk. These stigmas impact persistence in care through discouraging clinic visits and daily pill taking. However, some participants remained persistent in care despite stigma by using protective mental strategies such as personal agency, mental time travel, and affirmation from supportive social connections, which buffered emotional impacts and sustained persistence. Conclusions: Persistence in PrEP care is shaped not only by stigma in the social environment but also by how individuals interpret and respond to it. Interventions should therefore combine structural stigma-reduction efforts with mental health-informed strategies that strengthen agency and supportive social relationships to sustain PrEP engagement among MSM.