Search Results (327)

Human information processing is often considered vision-dominant. However, perception is multisensory and shaped by interactions among sensory modalities as well as by top-down processes that integrate prior knowledge and context. Research demonstrates that these mechanisms influence early neural processing and enrich perception beyond purely bottom-up input. For individuals who are blind, this adaptability allows for the effective acquisition of information through alternative sensory channels, provided that accessibility systems are in place. A central challenge is the limited access to written materials, including text, numerical data, and music notation. Assistive technologies such as speech synthesis and Braille have become key solutions. This contribution focuses on Braille, discussing issues of organization, standardization, and technical design. It also introduces the project “Braille Display Screen Based on Long-Wave Infrared Radiation,” which seeks to create a passive Braille display as an alternative to conventional actuator-based devices. Full article

Despite the growing demand for functional gluten-free (GF) foods, the application of Quercus pubescens acorn flour remains largely underexplored. This study addresses this gap by optimizing GF cookies using response surface methodology (RSM) and prepared with Q. pubescens acorn flour and xanthan gum to balance technological quality, sensory acceptability, and functional value. A three-level full factorial design (FFD) evaluated the effects of acorn flour proportion (0, 50 and 100%), and xanthan gum level (1, 2 and 3%) on physicochemical properties (moisture, water activity, color, texture, and dimensions), sensory attributes using a 9-point hedonic scale, proximate composition, and bioactive and antioxidant properties (total polyphenols, tannins, DPPH, ABTS, FRAP). Linear and quadratic polynomial models adequately described the experimental data (R² = 0.86–0.99; non-significant lack of fit). Increasing acorn flour content significantly intensified cookie darkening, reduced snapping force and bending stiffness, reduced spread factor, and affected sensory perception, while xanthan gum improved structural integrity and dimensional stability. Multi-response optimization identified an optimal formulation containing 41.05% acorn flour and 1.46% xanthan gum, achieving balanced color development (darkness index ≈ 62), bending stiffness (~38 N/mm), and high overall sensory acceptability (~7.8). The optimized GF cookies exhibited a favorable nutritional profile and antioxidant properties, characterized by elevated total polyphenol content and antioxidant capacity, confirming the functional potential of acorn flour. The optimized cookies (containing 41.05% acorn flour) exhibited a six-fold increase in total phenolic content (from 1.63 to 10.08 mg GAE/g) and 8–10 times higher antioxidant capacity (DPPH, ABTS, and FRAP assays) compared to the control, confirming the substantial functional potential of Q. pubescens in gluten-free systems. Full article

Although street ambiance, understood as a multisensory and cognitive experience, has been widely discussed in theory, empirical evidence on how it is perceived across specific urban contexts remains limited. This study explores the differences in ambiance-related responses between the two contrasting streets—one historic and one non-historic—by integrating brain, body, and mind measures within a controlled immersive framework. A VR-based, multimodal experimental protocol was employed, presenting participants with 360° audiovisual representations of two real-world streets. Data were collected using EEG, a wrist-worn physiological sensor, and self-report evaluations. Subjective responses consistently differentiated between the two streets’ ambiances, reflecting a coherent, environmentally grounded appraisal shaped by each street’s combined visual and auditory attributes. Neural responses clearly differentiated between the two streets, demonstrating that the distinct experiential character of the historic street was also reflected at the level of brain activity. Within the historic street, an asymmetric relationship emerged in which subjective evaluations differentiated ambiance more robustly than corresponding psychophysiological modulation, indicating context-dependent sensitivity across modalities. Taken together, the findings suggest that subjective and psychophysiological responses do not differ merely in magnitude but also in their mode of organization, revealing street ambiance as a multisensory and relational experience rather than the sum of isolated environmental attributes or historicity alone. Full article

This study aimed to immerse itself in the most important cultural aspects that tourists see as the main part of their food experience in Chongqing, a city with an active culinary life. We used semi-structured and in-depth interviews with 50 tourists who had recent culinary travel experience in Chongqing. The interview data were systematized with the grounded theory coding process. It was found that six essential themes characterizing the cultural climate of the culinary experience in Chongqing can be taken as Sensory Immersion, Atmospheric Energy (Yanhuoqi), Communal Dining, Procedural Knowledge, Historical Symbolism, and Authenticity Seeking. The research adds a multi-dimensional and granular paradigm for perceiving cultural aspects of a food destination. Through the deconstruction of the taste of place, it gives detailed, contextual information about the manner in which the tourists both interpret and experience food culture. The results have profound practical implications for both destination marketers in relation to the manner in which they can develop powerful cultural narratives and to policymakers on the role of maintaining intangible culinary heritage. Full article

Objective: This study investigated the effects of a 10-week dancesport intervention on rhythm perception ability and its multisensory correlates in college students. Methods: Forty students were randomly assigned to an intervention group (dancesport) and a control group (Health Qigong). Rhythm perception was assessed across different task difficulties (Experiment 1) and through somatosensory, visual, and auditory channels (Experiment 2). Data were analyzed using repeated-measures ANOVA with Bonferroni-corrected pairwise comparisons. Results: The dancesport group showed significant improvement in rhythm perception accuracy at all difficulty levels. Furthermore, they achieved superior post-test performance compared to the control group on pooled-difficulty tasks. Significant enhancements were also found in somatosensory reaction time and in both the accuracy and reaction time of auditory processing. Visual channel improvement was restricted to accuracy. Conclusions: A 10-week dancesport training program led to significant within-group improvement in rhythm perception across all difficulty levels and enabled superior performance relative to the control group on pooled-difficulty tasks. It also enhances multisensory processing, particularly in somatosensory and auditory channels. Full article

This study explores how immersive e-learning technologies influence entrepreneurial intention among business education students, with a focus on the mediating role of learning satisfaction. Using a quantitative approach, data were collected from 561 final-year undergraduate students enrolled in business and entrepreneurship programs at globally ranked universities. The relationships between immersive learning design features, learning satisfaction, and entrepreneurial intention were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The study draws on Experiential Learning Theory, Self-Determination Theory, and Expectancy–Value Theory to explain how immersive learning experiences shape entrepreneurial motivation. The results show that interactivity, experiential engagement, and personalization positively influence entrepreneurial intention, primarily by enhancing learning satisfaction. Students are more inclined toward entrepreneurial careers when immersive learning environments support autonomy, meaningful engagement, and perceived value. In contrast, high levels of realism and multisensory intensity do not consistently strengthen entrepreneurial intention, suggesting that excessive immersion may create cognitive strain or diminishing motivational returns under certain conditions. These findings highlight the importance of balanced and learner-centered immersive learning design rather than increased technological intensity alone. From a practical perspective, the study suggests that business schools should integrate immersive technologies in ways that emphasize experiential learning, adaptability, and cognitive balance. However, the findings should be interpreted with caution due to the cross-sectional design, reliance on self-reported data, and focus on final-year students. Overall, the study provides a nuanced understanding of how immersive e-learning can support entrepreneurial intention while also identifying important boundary conditions that shape its effectiveness. Full article

This study systematically evaluated six white grape cultivars and their wines from Changli, China, through multi-analytical techniques (HPLC, LC-MS/MS, HS-SPME -GC-MS, etc.) to compare oenological parameters, organic acid profiles, phenolic compositions, and aromatic volatiles. Results indicated that the total sugar contents in Aranèle (202.11 g/L) and Viognier (201.12 g/L) berries were significantly higher than those in other varieties. Compared with other varieties, Roussanne grape juice and wine had a higher content of phenolic components, and the fermented Chardonnay wine exhibited a higher proanthocyanidin content. In the flavor profile of the wines, the contents of ethyl octanoate, isoamyl acetate, and α-ionene in Semillon wine (total volatile components in Semillon: 56,147.3 μg/L) were significantly higher than those in the other wines. Additionally, Aranèle wine had the highest phenethyl alcohol content. The principal component analysis (PCA), performed on combined normalized data of organic acids, phenolic components, and volatile compounds, revealed distinct clustering of the six white wines. The first and second principal components explained 41.63% and 43.37% of the total variance, respectively, demonstrating clear differentiation among the six white wines. Sensory analysis revealed no distinct differences in appearance among the six white wines, whereas significant variations were observed in aroma and taste profiles. Full article

The heart’s performance relies on its contractile and rhythmic properties, which are modulated not only by extrinsic autonomic inputs but also by the intrinsic cardiac nervous system (ICNS), a distributed network of intracardiac ganglia and neurons that integrates local sensory, autonomic, and inflammatory signals. Growing evidence indicates that cardiac fibrosis and neuronal remodeling are intertwined processes within this network. This review synthesizes current knowledge on molecular, structural, and functional remodeling of the ICNS to drive neurofibrosis, autonomic imbalance, and arrhythmogenesis. We outline ICNS anatomy and neurochemical diversity, then summarize core fibrotic mechanisms, fibroblast activation, extracellular matrix dynamics, and inflammatory signaling, and map these onto intracardiac ganglia. Across diabetes, myocardial infarction, heart failure, and neuroinflammatory states, shared pathways (e.g., IL-6/STAT3, TGF-β/SMAD, PI3K/AKT, MAPK/ERK, oxidative stress) suppress neuronal excitability, promote neuron–glia–fibroblast coupling, and culminate in neurofibrotic remodeling. We integrate functional data linking these changes to autonomic dysregulation and arrhythmia vulnerability. Future priorities involve constructing detailed human ICNS atlases and applying single-cell and spatial multi-omics to better characterize intracardiac neurons, their circuitry, and their interactions with fibroblasts and immune cells. These insights will be essential to inform targeted neuromodulation and anti-fibrotic interventions. The ICNS is a dynamic regulatory hub whose cells and circuits participate directly in cardiac fibrosis and electrical instability. Recognizing neurofibrosis as a companion process to myocardial fibrosis reframes therapeutic strategy toward preserving both neural and myocardial integrity. Full article

Understanding how the brain adapts to repeated food-related cues provides insight into attentional and motivational mechanisms that influence eating behaviour. Previous studies using event-related potentials (ERPs) have shown that food cues, particularly high-calorie stimuli, elicit sustained neural responses with repeated exposure. The present study extends this line of inquiry by examining the oscillatory dynamics of within-session habituation using time-frequency analysis of electroencephalographic (EEG) data from 24 healthy adult participants. Repeated presentations of the same high-calorie, low-calorie, and non-food images were shown, and changes in power across the delta, theta, alpha, beta, and gamma bands were analysed using cluster-based permutation testing. The results revealed a significant habituation effect for the non-food image within the theta band at frontal scalp electrode clusters between 110–330 ms, characterised by a progressive reduction in power over time. In contrast, both high and low-calorie food cues maintained more stable oscillatory activity, indicating sustained attentional engagement. Participant-level analyses further suggested that changes in attentional engagement followed a graded pattern rather than clear categorical differences across stimulus types. These findings suggest that neural habituation is modulated by stimulus salience, with high-calorie food images resisting adaptation through persistent theta-band synchronisation at frontal scalp electrodes. Integrating these oscillatory results with prior time-domain evidence highlights a multi-stage attentional process: an early sensory filtering phase reflected in parietal ERPs and a sustained regulatory phase indexed by theta-band activity recorded at frontal scalp electrodes. This study provides novel evidence that time-frequency analysis captures complementary aspects of attentional adaptation that are not visible in traditional ERP measures, offering a richer understanding of how the brain maintains attention to appetitive visual stimuli. Full article

Condition monitoring has come to the forefront of intelligent manufacturing and is particularly important in Computer Numerical Control (CNC) machining processes, where reliability, precision, and productivity are crucial. The traditional methods of monitoring, which are mostly premised on single sensors, the localized capture of data, and offline interpretation, are proving too small to handle current machining processes. Being limited in their scale, having limited computational power, and not being responsive in real-time, they do not fit well in a dynamic and data-intensive production environment. Recent progress in the Industrial Internet of Things (IIoT), cloud computing, and edge intelligence has led to a push into distributed monitoring architectures capable of obtaining, processing, and interpreting large amounts of heterogeneous machining data. Such innovations have facilitated more adaptive decision-making approaches, which have helped in supporting predictive maintenance, enhancing machining stability, tool lifespan, and data-driven optimization in manufacturing businesses. A structured literature search was conducted across major scientific databases, and eligible studies were synthesized qualitatively. This systematic review synthesizes over 180 peer-reviewed studies found in major scientific databases, using specific inclusion criteria and a PRISMA-guided screening process. It provides a comprehensive look at sensor technologies, data acquisition systems, cloud–edge–IoT frameworks, and digital twin implementations from an architectural perspective. At the same time, it identifies ongoing challenges related to industrial scalability, standardization, and the maturity of deployment. The combination of cloud platforms and edge intelligence is of particular interest, with emphasis placed on how the two ensure a balance in the computational load and latency, and improve system reliability. The review is a synthesis of the major advances associated with sensor technologies, data collection approaches, machine operations, machine learning, deep learning methods, and digital twins. The paper concludes with what can and cannot be performed to date by providing a comparative analysis of what is known about this topic and the reported industrial case applications. The main issues, such as the inconsistency of data, the lack of standardization, cyber threats, and old system integration, are critically analyzed. Lastly, new research directions are touched upon, including hybrid cloud–edge intelligence, advanced AI models, and adaptive multisensory fusion, which is oriented to autonomous and self-evolving CNC monitoring systems in line with the Industry 4.0 and Industry 5.0 paradigms. The review process was made transparent and repeatable by using a PRISMA-guided approach to qualitative synthesis and literature screening. Full article

Wine represents one of the most complex food matrices from a sensory perspective, as its appreciation emerges from the interaction between chemical composition, perceptual mechanisms, and contextual influences. Contemporary research in oenology and sensory science increasingly recognizes wine evaluation as an integrated perceptual event shaped by cognition, memory, and affect, rather than a simple response to aroma or flavor cues. Live music is widely used in hospitality settings to enhance consumer experience; however, its specific influence on wine appreciation and emotional responses remains insufficiently explored, particularly in real-world contexts. This study investigates how two contrasting musical atmospheres—melancholic/relaxing and upbeat/motivational—modulate hedonic evaluations and emotional profiles during public wine tastings, compared with a no-music condition. Data were collected across five live tasting events (5 Wednesdays of Emotions) using structured questionnaires that included hedonic ratings and multidimensional emotional measures. Statistical analyses were conducted using non-parametric tests, meta-analytic p-value combination, and cumulative link mixed models for ordinal data. The presence of music significantly enhanced overall wine appreciation compared to the silent condition, although the magnitude and direction of the effect varied across individuals and musical styles. Upbeat/motivational music generally produced stronger and more consistent increases in liking than melancholic/relaxing music. Emotional responses—particularly positive surprise—emerged as key mediators of hedonic improvement and showed strong associations with overall liking. Preference profiling revealed distinct response patterns, indicating that auditory modulation of wine perception is not uniform across consumers. These findings support a crossmodal interpretation in which music shapes wine appreciation primarily through emotion-based and expectancy-related mechanisms rather than through direct sensory enhancement. By demonstrating these effects in ecologically valid tasting environments, the study highlights the role of auditory context as a meaningful component of multisensory wine experiences. Full article

Background/Objectives: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by differences in social communications and restricted, repetitive patterns of behaviors and interests, affecting approximately 1% of children globally. While functional magnetic resonance imaging (fMRI) has provided insights into altered brain connectivity patterns in ASD, classification based on neuroimaging remains a challenging due to the heterogeneity of the disorder and variability in imaging data across sites. This study employs a network-based approach using large-scale, multi-site rs-fMRI dataset from the Autism Brain Imaging Data Exchange (ABIDE I and II) to classify ASD and healthy controls using machine learning. Methods: A semi-blind Independent Component Analysis method, specifically the spatial constraint reference ICA, is applied to identify functional brain networks, and the ComBat harmonization technique is used to address site-specific variability across 11 independent datasets, ensuring consistency in feature representation. Support Vector Machines (SVMs) are employed for classification, focusing on three key networks: the Default Mode Network (DMN), Sensorimotor Network (SMN), and Visual Sensory Network (VSN). Results: The results demonstrate high classification accuracy, with the VSN achieving the highest performance (83.23% accuracy, 87.90% AUC), followed by the DMN (81.43% accuracy, 84.53% AUC) and the SMN (80.52% accuracy, 84.96% AUC), positioned with their recognized roles in social cognition and sensory–motor processing, respectively. Conclusions: The integration of ICA-based feature extraction with ComBat harmonization significantly improved classification accuracy compared to previous studies. These findings point out the potential of network-based approaches in ASD classification and point out the importance of integrating multi-site neuroimaging data for identifying reproduceable network-level features. Full article

This study examines how the sense of home for people with dementia is shaped not only by physical settings but by dynamic atmospheric compositions emerging through memory, sensation, and everyday practices. Building on a preliminary literature mapping that identified three dimensions of home in later-life care environments—safe space, small world, and connection—we developed a multisensory co-design toolkit combining key-element cards and curated olfactory prompts. The study was conducted in a dementia-friendly residential care facility in Italy. Nine residents with mild–moderate dementia (aged 75–84) participated in two group sessions and six individual sessions, facilitated by two design researchers with care staff present. Data consist of audio-recorded and transcribed interviews, guided olfactory sessions, and researcher fieldnotes. Across sessions, participants articulated “small worlds” as micro-environments composed of meaningful objects, bodily comfort, routines, and sensory cues that supported emotional regulation and identity continuity. Olfactory prompts, administered through a low-intensity and participant-controlled protocol, supported scene-based autobiographical recall for some participants, often eliciting memories of domestic rituals, places, and relationships. Rather than treating home-like design as a fixed architectural style, we interpret home as continuously re-made through situated sensory–temporal patterns and relational practices. We translate these findings into atmospheric design directions for dementia care: designing places of self and refuge, staging accessible material memory devices, embedding gentle olfactory micro-worlds within daily routines, and approaching atmosphere as an ongoing process of co-attunement among residents, staff, and environmental conditions. The study contributes a methodological and conceptual framework for multisensory, narrative-driven approaches to designing home-like environments in long-term care. Full article

Immersive technologies such as Desktop Virtual Reality (DVR), Immersive Rooms (IR), and fully immersive Virtual Reality (VR) are transforming K-12 education by enabling experiential, multisensory, and participatory learning. Yet their pedagogical impact depends not only on hardware fidelity but on the interplay between technological affordances, instructional design, and learner characteristics. Guided by the Cognitive Affective Model of Immersive Learning (CAMIL), this mixed-methods study examined how these factors jointly shape affordances, challenges, students perceived learning, and self-assessment in authentic classroom contexts. Data were collected from 31 teachers and 252 students across 21 schools using teacher interviews, classroom observations, and student questionnaires. Findings revealed that agency and presence emerged as central affordances but also as potential challenges, depending on lesson design and cognitive load. DVR consistently supported higher perceived learning and stronger links between engagement and self-assessment, while IR showed the weakest outcomes and VR displayed trade-offs between immersion and control. The study proposes a revised CAMIL framework that integrates social co-presence, learner characteristics, and perceived learning as essential components for understanding immersive learning in schools. These results highlight that effective immersion arises from pedagogical orchestration, not technological intensity alone. Full article

Enzyme technology, characterized by high efficiency, environmental compatibility, and precise controllability, has become a pivotal biocatalytic approach for quality enhancement and nutritional improvement in modern food industries. This review summarizes recent advances and underlying mechanisms of enzyme applications in food processing optimization, nutritional enhancement, and functional food development. In terms of process optimization, enzymes such as transglutaminase, laccase, and peroxidase enhance protein crosslinking, thereby markedly improving the texture and stability of dairy products, meat products, and plant-based protein systems. Proteases and lipases play essential roles in flavor development, maturation, and modulation of sensory attributes. From a nutritional perspective, enzymatic hydrolysis significantly improves the bioavailability of proteins, minerals, and dietary fibers, while simultaneously degrading antinutritional factors and harmful compounds, including phytic acid, tannins, food allergens, and acrylamide, thus contributing to improved food safety and nutritional balance. With respect to functional innovation, enzyme-directed production of bioactive peptides has demonstrated notable antihypertensive, antioxidant, and immunomodulatory activities. In addition, enzymatic synthesis of functional oligosaccharides and rare sugars, glycosylation-based modification of polyphenols, and enzyme-assisted extraction of plant bioactive compounds provide novel strategies and technological support for the development of functional foods. Owing to their high specificity and eco-friendly nature, enzyme technologies are driving food and nutrition sciences toward more precise, personalized, and sustainable development pathways. Despite these advances, critical research gaps remain, particularly in the limited mechanistic understanding of enzyme behavior in complex food matrices, the insufficient integration of multi-omics data with enzymatic process design, and the challenges associated with translating laboratory-scale enzymatic strategies into robust, data-driven, and scalable industrial applications. Full article