Search Results (3,708)

The rural landscape, as the core constituent unit of rural space, is vital for promoting sustainable rural development and achieving rural revitalization goals. However, current research is often limited to single groups, neglecting differences in visual behaviors (VBs) and landscape preferences (LPs) among diverse groups. Thus, this study employed eye-tracking technology combined with a landscape preference questionnaire to investigate the VBs and LPs of 160 participants when viewing rural landscapes. The results indicate that there is a notable correlation between VBs and LPs (p < 0.01), and the two aspects mutually influence each other. Moreover, groups with different demographic characteristics exhibit significant differences in both VBs and LPs. Among them, the score for LPs in the group of farmers, service sector workers, and retirees is significantly higher than that in the group of students, while the mean fixation duration is significantly lower than that in the group of students. Based on these research findings, this study suggests that, during the process of rural landscape design, full consideration should be given to the VBs and LPs of diverse groups with different demographic characteristics to enhance the inclusivity of rural landscape design and facilitate the realization of diversified and sustainable rural development. Full article

Background: Problematic overstudying has been conceptualized as an addictive behavior (study addiction) and an early form of work addiction. The majority of students showing compulsive studying behaviors experience chronic and high stress and symptoms of generalized anxiety disorder. Caffeine is a widely used stimulant that enhances alertness and cognitive performance, especially under fatigue. University students, particularly those exhibiting problematic overstudying, may consume more caffeine to improve academic performance. Previous research has shown that caffeine consumption is positively associated with perceived stress and anxiety. This study examined the mediating role of caffeine consumption in the relationship between problematic overstudying and psychological distress (perceived stress, anxiety, and depression) among university students. Methods: Sample 1 consisted of 436 university students, and Sample 2 included 3421 students. The Bergen Study Addiction Scale, Perceived Stress Scale-4, and a measure of average daily caffeine consumption were used. Results: Results showed that caffeine consumption partially mediated the relationship between problematic overstudying and perceived stress. Students who study compulsively tended to consume more caffeine, which was, in turn, associated with higher perceived stress. This finding was replicated across both samples, and in the second, larger sample, caffeine intake also mediated between problematic overstudying and anxiety and depression. Conclusions: Excessive caffeine use among students who manifest problematic overstudying may increase their risk of developing, or aggravate existing, symptoms of anxiety or mood disorders. Limiting caffeine intake and promoting healthy alternatives, such as rest and recovery, is recommended to support mental health in this population. Full article

Many patients experience unique or persistent symptoms several months following the onset of infection with severe acute respiratory syndrome coronavirus 2, the causative agent of COVID-19. While this condition is commonly referred to as long COVID, no universally accepted definition exists; therefore, many patients go underrecognized and underreported. Long COVID can involve almost any major organ system and is characterized by widely heterogeneous persistent or recurrent symptoms including fatigue, headache, cough, dyspnea, chest pain, cognitive dysfunction, anxiety, and depression. In line with the wide array of symptoms, numerous potential underlying pathophysiologic pathways, including viral persistence, prolonged inflammation, autoimmune reactions, endothelial dysfunction, and dysbiosis of the microbiome of the gut, may contribute to the symptomology of long COVID. Therapy is directed at symptomatic control; however, no pharmacologic treatments are specifically approved for the management of symptoms associated with long COVID. Several common symptoms of long COVID may be managed with nonprescription treatments (pharmacologic and nonpharmacologic). The goal of this review is to provide clinicians with a better understanding of long COVID and review the latest recommendations for managing common mild-to-moderate symptoms with nonprescription treatment options. Full article

Background/Objectives: For runners competing abroad in sports events, the hours before a race are marked by heightened psychological tension, where even food choices can feel crucial to success. While pre-race nutrition is often addressed in terms of physiological needs, little is known about the inner psychological processes that accompany food decisions in unfamiliar cultural and environmental contexts. This study explores the inner dialogues, anxieties, and coping mechanisms of international runners facing the question of whether and what to eat before competition. Methods: A qualitative study was conducted with twelve international participants (from the United Kingdom, Germany, and Ukraine) of the Poznan Half Marathon 2025. Data were collected through semi-structured in-depth interviews. Participants possessed a minimum of two years’ experience competing in international events. Results: Three thematic areas were identified: (1) anticipatory anxiety and fear of making nutritional mistakes before the race, (2) internal negotiation between prior nutritional knowledge and situational trust, and (3) ritualization and individualized norms as fundamental mechanisms of psychological regulation. These themes influenced how runners experienced pre-race nutrition, shaping their emotional states, decision-making processes, and coping strategies in the context of international competition. Conclusions: Pre-race nutrition decisions are deeply embedded in emotional and cognitive landscapes shaped by stress, cultural context, and individual history. Recognizing these inner dynamics can help coaches, sports nutritionists, and event organizers better support the psychological well-being of traveling athletes. Full article

Background/Objective: The global acceleration of population aging presents profound challenges to the physical, psychological, and social well-being of older adults. As traditional exercise programs face limitations in accessibility, personalization, and sustained social support, there is a critical need for innovative, inclusive, and community-integrated digital movement solutions. This study aimed to develop and evaluate Movement Poomasi, a hybrid digital healthcare application designed to promote physical activity, improve digital accessibility, and strengthen social connectedness among older adults. Methods: From March 2023 to November 2023, Movement Poomasi was developed through an iterative user-centered design process involving domain experts in physical therapy and sports psychology. In this study, the term UI/UX—short for user interface and user experience—refers to the overall design and interaction framework of the application, encompassing visual layout, navigation flow, accessibility features, and user engagement optimization tailored to older adults’ sensory, cognitive, and motor characteristics. The application integrates adaptive exercise modules, senior-optimized UI/UX, voice-assisted navigation, and peer-interaction features to enable both home-based and in-person movement engagement. A two-phase usability validation was conducted. A 4-week pilot test with 15 older adults assessed the prototype, followed by a formal 6-week study with 50 participants (≥65 years), stratified by digital literacy and activity background. Quantitative metrics—movement completion rates, session duration, and engagement with social features—were analyzed alongside semi-structured interviews. Statistical analysis included ANOVA and regression to examine usability and engagement outcomes. The application has continued iterative testing and refinement until May 2025, and it is scheduled for re-launch under the name Wello! in August 2025. Results: Post-implementation UI refinements significantly increased navigation success rates (from 68% to 87%, p = 0.042). ANOVA revealed that movement selection and peer-interaction tasks posed greater cognitive load (p < 0.01). A strong positive correlation was found between digital literacy and task performance (r = 0.68, p < 0.05). Weekly participation increased by 38%, with 81% of participants reporting enhanced social connectedness through group challenges and hybrid peer-led meetups. Despite high satisfaction scores (mean 4.6 ± 0.4), usability challenges remained among low-literacy users, indicating the need for further interface simplification. Conclusions: The findings underscore the potential of hybrid digital platforms tailored to older adults’ physical, cognitive, and social needs. Movement Poomasi demonstrates scalable feasibility and contributes to reducing the digital divide while fostering active aging. Future directions include AI-assisted onboarding, adaptive tutorials, and expanded integration with community care ecosystems to enhance long-term engagement and inclusivity. Full article

Background/Objective: Insomnia is a clinically important symptom in Long COVID; however, few studies have addressed the presentation and course of insomnia symptoms in patients with Long COVID. Methods: The Insomnia Severity Index (ISI) was administered as part of a comprehensive baseline neuropsychological evaluation (Time 1) for patients with Long COVID at an Academic Medical Center (AMC). Data were gathered on 172 consecutively referred patients between the dates of November 2020 and May 2022. The mean age of patients at Time 1 was 49 years (range: 18 to 78), with a mean of 15 years of education. Patients were 70% female and 30% male and identified as White/Caucasian (78%), Black/African American (21%), or American Indian (1%). Patients’ severity of COVID-19 infection and self-reported emotional, somatic, cognitive, and fatigue symptoms were also gathered to identify concomitant risk factors for insomnia in Long COVID. Patients were then followed to observe the natural trajectory of insomnia complaints in Long COVID, with the Time 2 evaluation a mean of 9 months after the Time 1 evaluation. Results: Seventy-eight percent of Long COVID patients reported insomnia symptoms at Time 1, with 30% reporting Subthreshold Insomnia symptoms (ISI Score = 8–14), 30% reporting Moderate Insomnia symptoms (ISI Score = 15–21), and 18% reporting Severe Clinical Insomnia (ISI Score = 22–28). Severity of acute COVID-19 infection was not correlated with severity of insomnia in Long COVID; however, being non-white (r = 0.24, n = 172, p < 0.01) and having higher self-reported levels of anxiety (r = 0.41, n = 172, p < 0.01), depression (r = 0.52, n = 172, p < 0.01), perceived stress (r = 0.38, n = 172, p < 0.01), somatic symptoms (r = 0.51, n = 172, p < 0.01), cognitive failures, and fatigue were significantly correlated with insomnia symptoms. Insomnia was also significantly correlated with lower global cognitive function (r = 0.51, n = 172, p < 0.01) and lower cognitive flexibility (r = −0.17, n = 172, p < 0.05). There was a statistically significant decrease in reported ISI scores from Time 1 to Time 2 (t = −3.04; p = 0.003); however, ISI mean scores at both Time 1 (ISI Score = 14) and Time 2 (ISI Score = 12) remained in the Subthreshold Insomnia range (ISI score 8–14). Conclusions: Findings suggest that a large majority of Long COVID patients experience insomnia symptoms. Additionally, insomnia symptoms did not dissipate over time in a clinically meaningful way and were highly correlated with reduced global cognitive function, reduced cognitive flexibility, and higher levels of reported mood symptoms, fatigue, somatic symptoms, and experience of cognitive failures. Thus, there is a pressing need for intervention strategies to treat insomnia in Long COVID patients. Full article

Accessing the built environment poses many challenges for people with disabilities, severely affecting their independence and quality of life. A panel of experts with a lived experience of disabilities co-designed a survey capturing the challenges in New Zealand’s public places. There were 319 survey respondents with impairments related to mobility (66.5%), vision (18.8%), hearing (5.0%), sensory processing and cognition (8.8%). They perceived sports stadiums as the least accessible venue, followed by bars, boutique shops and public toilets. The most accessible venues were supermarkets, libraries and shopping malls. The type of disability affected the main accessibility challenges. Significant outdoor barriers included uneven and cluttered paths, inadequate provision of curb cuts, seating and accessible parking spaces, and obscure wayfinding. Entrance barriers included heavy doors, complex access control, remote ramps and narrow, obscure entrances. Interior problems included cluttered paths and poor signage. The top priorities for improvement were simplifying layouts, keeping paths clear, and providing clear, inclusive signage, communication and assistance for people with varying impairments. Providing lower counters, better colour contrast, hearing loop facilities and better control of lighting and acoustics also improve accessibility. This research contributes novel experiential data from people with disabilities that is critical to achieving an inclusive built environment. Full article

The relationship between sleep and epilepsy involves complex interactions between thalamocortical circuits, circadian mechanisms, and sleep architecture that fundamentally influence seizure susceptibility and cognitive outcomes. Epileptic activity disrupts essential sleep oscillations, particularly sleep spindles generated by thalamic circuits. Thalamic epileptic spikes actively compete with physiological sleep spindles, impairing memory consolidation and contributing to cognitive dysfunction in epileptic encephalopathy. This disruption explains why patients with epilepsy often experience learning difficulties despite adequate seizure control. Sleep stages show differential seizure susceptibility. REM sleep provides robust protection through enhanced GABAergic inhibition and motor neuron suppression, while non-REM sleep, particularly slow-wave sleep, increases seizure risk. These observations reveal fundamental mechanisms of seizure control within normal brain physiology. Circadian clock genes (BMAL1, CLOCK, PER, CRY) play crucial roles in seizure modulation. Dysregulation of these molecular timekeepers creates permissive conditions for seizure generation while being simultaneously disrupted by epileptic activity, establishing a bidirectional relationship. These mechanistic insights are driving chronobiological therapeutic approaches, including precisely timed antiseizure medications, sleep optimization strategies, and orexin/hypocretin system interventions. This understanding enables a paradigm shift from simple seizure suppression toward targeted restoration of physiological brain rhythms, promising transformative epilepsy management through sleep-informed precision medicine. Full article

The rise of streaming services and online story-sharing has led to a vast amount of cinema and television content being viewed and reviewed daily by a worldwide audience. It is a unique challenge to grasp the nuanced insights of these reviews, particularly as context, emotion, and specific components like acting, direction, and storyline intertwine extensively. The aim of this study is to address said complexity with a new hybrid Multi Criteria Decision-Making MCDM model that combines the Deck of Cards Method (DoCM) with the Circular Pythagorean Fuzzy Set (CPFS) framework, retaining the symmetry of information. The study is conducted on a simulated dataset to demonstrate the framework and outline the plan for approaching real-world press reviews. We postulate a more informed mechanism of assessing and choosing the most appropriate deep learning assembler, such as the transformer version, the hybrid Convolutional Neural Network CNN-RNN, and the attention-based framework of aspect-based sentiment mapping in film and television reviews. The model leverages both the cognitive ease of the DoCM and the expressive ability of the Pythagorean fuzzy set (PFS) in a circular relationship setting possessing symmetry, and can be applied to various decision-making situations other than the interpretation of media sentiments. This enables decision-makers to intuitively and flexibly compare alternatives based on many sentiment-relevant aspects, including classification accuracy, interpretability, computational efficiency, and generalization. The experiments are based on a hypothetical representation of media review datasets and test whether the model can combine human insight with algorithmic precision. Ultimately, this study presents a sound, structurally clear, and expandable framework of decision support to academicians and industry professionals involved in converging deep learning and opinion mining in entertainment analytics. Full article

Heritage tourism has attracted increasing attention. Unique symbols of cultural identity, World Heritage Sites (WHSs) have steadily become one of the key global tourism resources, attracting large numbers of tourists. This study investigated how exhibition interactivity features shape satisfaction and loyalty among tourists in the context of WHSs. Moreover, it examined the enhancement of tourists’ satisfaction through interactive exhibitions, increasing loyalty to cultural heritage tourism destinations. The research methodology involved the application of a structural equation model (SEM) and importance–performance analysis (IPA). In addition, the differential effects of exhibition experiences across various tourist subgroups remain underexplored. In light of this research gap, 227 surveys of visitors to WHSs were utilized. The results showed that active control and synchronicity had positive effects on tourist satisfaction and loyalty, but two-way communication had a negative effect on satisfaction. The results demonstrated that exhibition interactivity influenced loyalty indirectly through satisfaction. Furthermore, this study identified cognitive gaps in different tourist groups in the exhibition interactivity dimension using IPA. By employing a multifaceted methodological approach, this study explored how interactive technology influences tourist experiences at WHSs. Finally, it offers empirical evidence, theoretical contributions, and practical suggestions. Full article

To cut a long story short, the term “emotion” is predominantly employed as a comprehensive designation, encompassing phenomena such as feelings, affective processing, experiences, expressions, and, on occasion, cognitive processes. This has given rise to a plethora of schools of thought that diverge in their inclusion of these phenomena, not to mention the discordance regarding what emotions belong to the so-called set of discrete emotions in the first place. This is a problem, because clear and operational definitions are paramount for ensuring the comparability of research findings across studies and also across different disciplines. In response to this disagreement, it is here proposed to simplify the definition of the term “emotion”, instead of using it as an umbrella term overarching an unclear set of multiple phenomena, which is exactly what left all of us uncertain about the question what an emotion actually is. From an etymological perspective, the simplest suggestion is to understand an emotion as behavior (from the Latin verb ‘emovere’, meaning to move out, and thus the noun ‘emotion’ meaning out-movement). This suggests that an emotion should not be understood as something felt, nor as a physiological reaction, or anything including cognition. Instead, emotions should be understood as behavioral outputs (not as information processing), with their connection to feelings being that they convey them. Consider fear, which should not be classified as an emotion, it should be understood as a feeling (fear is felt). The specific body posture, facial expression, and other behavioral manifestations resulting from muscle contractions should be classified as emotions with their purpose being to communicate the felt fear to conspecifics. The underlying causative basis for all that exists is affective processing (i.e., neural activity), and it provides evaluative information to support decision-making. The essence of this model is that if affective processing responds above a certain threshold, chemicals are released, which leads to a feeling (e.g., felt fear) if the respective organism is capable of conscious experience. Finally, the communication of these feelings to conspecifics is happening by emotion-behavior (i.e., emotions). In summary, affective processing guides behavior, and emotions communicate feelings. This perspective significantly simplifies the concept of an emotion and will prevent interchangeable use of emotion-related terms. Last but not least, according to the current model, emotions can also be produced voluntarily in order to feign a certain feeling, which is performed in various social settings. Applications of this model to various fields, including clinical psychology, show how beneficial it is. Full article

This study investigates the use of GeoGebra, a Dynamic Geometry Software (DGS) for math learning in Virtual Reality (VR) using head-mounted displays. We conducted a study with n = 20 middle school students receiving a mathematics tutoring intervention over time in a VR environment. Using theories of embodied cognition and playful mathematics, this paper focuses on distinguishing between mathematical play and general play in VR environments. We also look at interactions that led to instances of play. Key findings highlight how mathematical play in an immersive VR environment using DGS allows mathematical misconceptions to surface, students to explore mathematical ideas, and opportunities for mathematical reasoning about target concepts to build off play experiences. General play allows for the embodied engagement of learners in the mathematical learning environment and includes engagement and rapport-building. The integration of play fits well into VR environments that uniquely allow for immersion and embodiment, and play should be purposefully integrated into such VR environments in the future. Full article

The integration of virtual reality, digital twins, and spatial behavior-tracking technologies is reshaping cultural exhibition architecture, shifting the design focus from functional efficiency to immersive, user-centered experiences. However, the behavioral dynamics within these interactive environments remain insufficiently addressed. This study proposes a behavior-oriented spatial typology grounded in Bitgood’s attention–value model, which maps the psychological stages—Attraction, Hold, Engagement, and Exit—onto four spatial categories: Threshold Space, Transitional Space, Narrative Focus Space, and Closure Space. Each represents a distinct phase of perceptual and behavioral response along the exhibition sequence. A mixed-method approach was employed, combining eye-tracking experiments with structured questionnaires to capture both physiological reactions and subjective evaluations. Key spatial variables—enclosure (X₁), visual corridors (X₂), spatial scale (X₃), and light–shadow articulation (X₄)—were analyzed using multiple regression to assess their impact on interest and dwell time. The results show that enclosure (α = −0.094; β = −0.319) and light–shadow articulation (α = −0.057; β = 0.156), respectively, decreased interest and increased dwell time, while spatial scale (α = 0.042; β = 0.186) positively affected both. Visual corridors had minimal influence (α = −0.007; β = 0.022). These spatial effects align with the proposed typology: Threshold Spaces support rapid orientation and exploratory behavior, while Transitional Spaces aid navigation but reduce sustained attention. Narrative Focus Spaces enhance cognitive engagement and decision making, and Closure Spaces foster emotional resolution and extended presence. These findings validate the proposed typology and establish a quantifiable link between spatial attributes and visitor behavior, offering a practical framework for optimizing immersive exhibition sequences. Full article

This study focuses on the mechanisms of behavior and cognition, providing a comprehensive analysis of the innovative path of multimodal learning theory in the teaching practice of the “Web Front-end Development” course. This study integrates different sensory modes, such as vision, hearing, and haptic feedback, with the core objective of exploring the specific impact of this multi-sensory integration form on students’ cognitive engagement status, classroom interaction styles, and long-term learning behavior. We employed a mixed-methods approach in this study. On the one hand, we conducted a quasi-experiment involving 120 undergraduate students. On the other hand, research methods such as behavioral coding, in-depth interviews, and longitudinal tracking were also employed. Results show that multimodal teaching significantly reduces cognitive load (a 34.9% reduction measured by NASA-TLX), increases the frequency of collaborative interactions (2.3 times per class), and extends voluntary practice time (8.5 h per week). Mechanistically, these effects are mediated by enhanced embodied cognition (strengthening motor-sensory memory), optimized cognitive load distribution (reducing extraneous mental effort), and the fulfillment of intrinsic motivational needs (autonomy, competence, relatedness) as framed by self-determination theory. This study fills in the gap between educational technology and behavioral science. We have developed a comprehensive framework that provides practical guidance for designing technology-enhanced learning environments. With such a framework, learners can not only master technical skills more smoothly but also maintain their enthusiasm for learning for a long time and continue to participate. Full article

In the field of cognitive workload assessment for aerospace training, existing methods exhibit significant limitations in unimodal feature extraction and in leveraging complementary synergy among multimodal signals, while current fusion paradigms struggle to effectively capture nonlinear dynamic coupling characteristics across modalities. This study proposes DST-Net (Cross-Modal Downsampling Transformer Network), which synergistically integrates pilots’ multimodal physiological signals (electromyography, electrooculography, electrodermal activity) with flight dynamics data through an Anti-Aliasing and Average Pooling LSTM (AAL-LSTM) data fusion strategy combined with cross-modal attention mechanisms. Evaluation on the “CogPilot” dataset for flight task difficulty prediction demonstrates that AAL-LSTM achieves substantial performance improvements over existing approaches (AUC = 0.97, F1 Score = 94.55). Given the dataset’s frequent sensor data missingness, the study further enhances simulated flight experiments. By incorporating eye-tracking features via cross-modal attention mechanisms, the upgraded DST-Net framework achieves even higher performance (AUC = 0.998, F1 Score = 97.95) and reduces the root mean square error (RMSE) of cumulative flight error prediction to 1750. These advancements provide critical support for safety-critical aviation training systems. Full article