Search Results (605)

In the study of sensory processes, the visual system has received the most research compared to other sensory systems. The primary difference between visual and auditory perception lies in the nature of the stimuli and the reception processes: vision perceives electromagnetic radiation, while auditory perception perceives acoustic signals of mechanical origin. This review aims to analyze modern approaches and controversies to the mechanisms of auditory perception related to psychophysics, psychophysiology, psychopathology, modern research on hearing in human–computer interaction (HCI) systems, and machine learning methods. Modern studies of acoustic patterns include a comprehensive assessment of the physical characteristics of perception, complex nonverbal auditory cues, verbalization, perception and memory, as well as individual differences in auditory perception. An analysis of the scientific literature allowed us to conclude that acoustic signals transformed in the brain into auditory images retain (encode) a number of amplitude-temporal parameters of acoustic signals that facilitate auditory discrimination (filtering), but interfere with auditory detection (recognition). Signal processing often, but not necessarily, involves brain regions involved in other forms of perception. It depends on subvocalization, includes semantically interpreted information and expectations, pictorial (visual) and descriptive components, functions as a mnemonic, and is linked to individual musical ability and experience (although the mechanisms of this connection are unclear). Full article

Food noise refers to persistent and intrusive thoughts about food that may interfere with daily functioning, emotional well-being, and eating behaviors. Although the construct has gained increasing attention in clinical and research contexts, no psychometrically sound tools are currently available in Italian to assess food noise. Therefore, the present study aimed to translate, adapt, and evaluate the psychometric properties of the Italian version of the Food Noise Questionnaire (FNQ). A total of 1087 participants (mean age 37.45 ± 10.35 years; 50.6% female) were enrolled in the investigation. Participants completed the Italian version of the FNQ, along with a convergent measure of food-related preoccupation and self-report measures of depressive symptoms, anxiety symptoms, and perceived stress. Confirmatory factor analysis supported a unidimensional factor structure for the FNQ, with salient standardized factor loadings (range = 0.803–0.919) and strong internal-consistency reliability (categorical ω = 0.917). Evidence of convergent validity was provided by strong associations with food-related preoccupation (r = 0.831, p < 0.001), whereas discriminant validity was supported by smaller, yet significant, correlations with anxiety, depression, and perceived stress (r range = 0.350 to 0.417, p < 0.001). In addition, configural, metric, and scalar invariance across gender was established within a multi-group framework. These findings provide evidence for the FNQ as a reliable and valid measure of food noise in the Italian adult population, demonstrating robust psychometric properties and gender-invariant measurement. Full article

This study investigates tactile spatial resolution on the palm using two successive rectangular stimuli. Whereas classical tactile resolution studies have focused mainly on point or circular stimulation, less is known about how spatial resolution depends on the placement and geometry of rectangular, device-relevant stimuli. We measured the successive two-stimulus discrimination threshold using three rectangular stimulators across five palm areas aligned along the proximal–distal axis. Participants compared a fixed reference stimulus with a variable comparison stimulus, and the minimum separation at which the two stimuli were perceived as occurring at different locations was recorded as the threshold. The overall average threshold across all experimental conditions was approximately 5.2 mm. The threshold varied systematically across palm regions, being smallest around the palmar digital crease and the base of the fingers. In the central palm, threshold differences were more evident for changes in stimulator width than for changes in stimulator length. These results extend tactile spatial resolution research beyond point stimulation and provide design-relevant guidance for palm-based haptic devices. Full article

Aquaculture plays a key role in food security and rural development, yet small-scale producers face heterogeneous structural, economic, and institutional constraints. This study analyzes aquaculture producers’ perceptions of the main challenges affecting small-scale aquaculture in the province of Manabí, Ecuador. A total of 98 producers were surveyed, including 37.14% Backyard, 45.71% Transitional, and 17.14% Commercial farms, using a Likert-type questionnaire to assess the perceived importance of different constraints. A structured survey was administered to 98 producers, including 20 Likert-scale variables. Differences among systems were evaluated using non-parametric univariate tests (Kruskal–Wallis with Dunn post hoc comparisons), and multivariate techniques (Principal Component Analysis and discriminant analysis) were applied to identify underlying perception patterns. Significant differences were mainly associated with biological input supply, market conditions, and structural production constraints, particularly, between Backyard farms and the other systems. In contrast, feed costs, energy consumption, and regulatory requirements emerged as transversal constraints across all systems. Multivariate analysis identified two main perception dimensions associated with market/input factors and structural/managerial limitations, showing a moderate differentiation among systems, with partial overlap between Transitional and Commercial farms and clearer separation of Backyard farms. These findings provide insights into system-specific and transversal constraints, contributing to the design of more adaptive and context-sensitive governance strategies for small-scale aquaculture. Full article

2S/LGBTQIA+ survivors of intimate partner violence (IPV) face multiple, intersecting barriers to accessing care, yet little is known about how these barriers are shaped by IPV-caused brain injury (IPV-BI). Background/Objectives: This study aimed to explore how stigma and institutional trust influence 2S/LGBTQIA+ survivors’ experiences of help-seeking following IPV-BI. Guided by a Community Advisory Board, four semi-structured focus groups were conducted with 29 2S/LGBTQIA+ IPV-BI survivors. Methods: Reflexive thematic analysis was used to examine participants’ help-seeking accounts, with attention to minority stress and intersecting stigmas related to IPV, BI, and 2S/LGBTQIA+ identity. Results: The findings indicate that survivors navigated compounded stigmas that limited access to safe, affirming services and heightened vulnerability during help-seeking. Institutional trust was central to participants’ decisions to disclose sensitive information and engage in care, with confidentiality emerging as a critical determinant of perceived safety. Participants described negotiating disclosure, anticipating discrimination, and avoiding services when systems were perceived as unsafe or unresponsive. Conclusions: These findings highlight the need for service systems to integrate IPV-BI into screening and support protocols, provide training on the intersections of IPV, BI, and 2S/LGBTQIA+ identities, and centre confidentiality as a condition for trust and access, ultimately fostering safer, more responsive systems of care. Full article

Research on cross-language adult speech perception shows that non-native speech sounds are interpreted through the listener’s L1 phonological system. According to the Perceptual Assimilation Model (PAM) and its extension, PAM-L2, discriminability of non-native/L2 speech contrasts is determined by how two phones are assimilated to L1 phonological categories. Specifically, discriminability varies depending on perceived overlap with L1 phonological categories. This study assessed the PAM/PAM-L2 account of the assimilation–discrimination relationship in discrimination of non-native/L2 stop–fricative contrasts, focusing on how discrimination varies with assimilation overlap. Chinese listeners completed assimilation and AXB discrimination tasks with six English (/p-f/, /b-v/, /t-θ/, /t-s/, /d-ð/, /d-z/) and two Persian (/k-x/, /g-ɣ/) stop–fricative contrasts. The contrasts were assimilated as four Uncategorized–Categorized (UC) contrasts, one with no overlap and three with partial overlap, and four Two-Category (TC) contrasts. The discrimination results showed that TC and non-overlapping UC contrasts were more accurately discriminated than partially overlapping UC contrasts, consistent with PAM/PAM-L2. Further analysis revealed that overlap scores were strongly negatively correlated with discrimination accuracy at the group level, and this correlation was also significant for most contrasts at the individual level. These findings suggest that exploring assimilation overlap may help clarify the assimilation–discrimination relationship in non-native/L2 stop–fricative contrast discrimination. Full article

Background/Objectives: Cancer places emotional and psychosocial demands on healthcare professionals; therefore, this study aimed to examine sociodemographic and psychosocial determinants, including emotional competence, empathy, and stigma, and to assess their interrelationships with mental health, attitudes towards cancer, and cancer-related stigma among healthcare professionals involved in cancer care. Methods: This cross-sectional study was conducted from July 2025 to January 2026 via a self-administered questionnaire among 264 hospital and primary care healthcare professionals in Osijek, Croatia (69 men and 195 women; median age 37 years, IQR 31–47, age range 20–64 years), all directly involved in providing healthcare to cancer patients in Croatia. Results: Significant differences were observed by gender, age, occupation, and workplace. Men were more frequently physicians and had higher education levels and socioeconomic status, whereas women achieved higher scores in emotional competence and empathy. Physicians more often had shorter overall work experience and reported greater perceived controllability of cancer. Age-related differences were found in perceived discrimination, stigma, and controllability of cancer. Primary healthcare professionals showed a higher level of empathy and proactivity and a lower perception of cancer as an incurable disease. Higher empathy was associated with lower stigma, while negative emotions and greater proactivity were associated with higher stigma, and emotional competence was a strong predictor of empathy. Conclusions: The study identified notable sociodemographic and psychosocial differences among healthcare professionals. Emotional competence strongly predicted empathy, which was inversely associated with cancer-related stigma, suggesting potential targets for interventions to improve attitudes towards cancer care. Furthermore, women exhibited significantly higher emotional competence and empathy than men, highlighting the importance of incorporating gender-specific perspectives into developing educational and support strategies for cancer healthcare professionals. Full article

Background: Women with endometriosis frequently experience mobility limitations that affect daily functioning. A specific tool to assess these restrictions would help clinicians to better understand patients’ functional challenges, facilitating more effective communication and shared decision making. Addressing this gap is essential for strengthening patient–professional dialogue and improving individualized care. Objective: To develop the new instrument MobEndo and to perform initial psychometric testing of the tool. Methods: The initial domains and items were generated through semi-structured interviews with patients and based on experts’ advice. Guided by the International Classification of Functioning, Disability, and Health (ICF) framework, exploratory factor analysis was conducted on data from patients diagnosed with endometriosis. Internal consistency was assessed using Cronbach’s alpha, considering values ≥ 0.70 as acceptable. Test–retest reliability was examined using intraclass correlation coefficients (ICCs), and ICC values were judged as excellent if >0.75. Construct validity was evaluated through concurrent, discriminant, and known-groups validity. For the known-groups validity hypothesis, participants were categorized by baseline pain levels. Results: The final questionnaire included 18 items, developed from responses from 301 women (mean age 38.96 ± 6.85). Factor analysis revealed two components—transitioning between body positions and performing movements requiring stabilization and executing load-bearing tasks involving the upper limbs—with the model explaining 71.78% of the total variance. Reliability was excellent, with a Cronbach’s alpha of 0.977. The ICC for the total score was 0.976 (95% CI 0.949–0.988), with similarly high values for each component. Concurrent validity correlations were significant, while discriminant validity showed no relevant associations. Known-groups analyses showed clear differences across pain-level groups. Conclusions: The questionnaire is a valid and reliable tool for capturing women’s perceived mobility limitations in endometriosis. Full article

This study evaluates the factors associated with municipal solid waste management performance under a circular economy approach in the municipalities of Cajamarca, Peru. A hybrid analytical design was applied to 120 municipal observations, combining partial least squares structural equation modeling to estimate the measurement and structural properties of four latent constructs—legal-regulatory framework, institutional capacity, operational management, and perceived performance—and XGBoost with SHAP to explore predictive classification of participation in circular economy training. The structural results indicate that operational management plays the central articulating role in linking regulation and institutional capacity to perceived performance, whereas the predictive component showed only modest out-of-sample discrimination (AUC-ROC = 0.519). Overall, the findings suggest that the proposed hybrid pipeline is more informative for explanatory integration and variable-importance analysis than for strong predictive discrimination under the current specification. Full article

Image classification in low-data regimes remains a challenging problem, particularly in stylized visual domains where intra-class similarity and inter-class feature overlap limit discriminative capacity. This study presents a systematic evaluation of regularization and transfer learning strategies for multi-class comic character recognition under constrained data conditions. Four convolutional architectures are compared: (i) a baseline CNN trained from scratch, (ii) a regularized CNN incorporating data augmentation, dropout, and early stopping, (iii) a pretrained ResNet-50 used as a fixed feature extractor, and (iv) a partially fine-tuned ResNet-50 with selective layer unfreezing. Experiments are conducted on a custom four-class dataset exhibiting moderate class imbalance, evaluated using both a fixed 70/20/10 split and 5-fold cross-validation to assess generalization stability. Results indicate that shallow CNN architectures suffer from substantial overfitting, even when regularization is applied, whereas transfer learning significantly improves macro-averaged F1-score and out-of-distribution detection performance. Cross-validated results, the primary basis for inference given the dataset scale, show that both ResNet-50 strategies achieve equivalent mean accuracy of 95.0% (SD: ±0.4% for feature extraction, ±0.8% for fine-tuning; paired t = 0.00, p = 1.000), while shallow CNN architectures reach only 81–87%. Under a single fixed 70/20/10 partition (n = 69 test samples, 95% CI: ±9–12%), fine-tuning nominally reaches 98.5%; crucially, cross-validation deflates this figure to parity with feature extraction, confirming it reflects favorable partitioning rather than genuine architectural superiority. The primary finding is therefore that frozen ResNet-50 feature extraction is the recommended strategy: it matches fine-tuning in cross-validated generalization while requiring 15× fewer trainable parameters and exhibiting lower fold-to-fold variance. The findings demonstrate that pretrained deep residual representations transfer effectively to stylized comic imagery and that evaluation protocol selection critically impacts perceived performance in small datasets. These results provide practical guidelines for robust model selection in domain-specific, limited-data image classification tasks. Full article

Ageism—encompassing stereotypes, prejudice, and discrimination across age groups—affects how individuals perceive and experience their own ageing. This study, based on a large sample (N = 1047), compared three age cohorts and explored intra-group variability among older adults (65–75 vs. ≥76 years). Results indicated that attitudes towards ageing were influenced by life stage, knowledge about ageing, perceived ageism, and internalised stereotypes. Participants aged 65–75 years showed more favourable attitudes, greater knowledge, and better emotional wellbeing compared to the ≥76 group, which exhibited higher hostile ageism and lower psychological wellbeing. A forward stepwise logistic regression (explained 35.9% of the variance) identified five predictors of a positive self-perception of ageing: lower perceived age discrimination; generally positive attitudinal profile; endorsement of benevolent stereotypes; absence of hostile ageism; and belonging to the 65–75 group. The findings highlighted the psychosocial complexity of ageing and call for interventions promoting positive ageing and reducing ageism. Full article

The precise, real-time delineation of rice lodging areas constitutes a fundamental prerequisite for the adaptive operation of unmanned combine harvesters. However, existing deep learning methods struggle to resolve a critical limitation: achieving an optimal equilibrium between robust regional morphological perception—which is crucial for irregular lodging patterns—and the ultra-low computational overhead demanded by resource-constrained edge terminals. To address this specific constraint, StarNet-RiceSeg is proposed as a lightweight semantic segmentation network explicitly tailored for unmanned harvesters. Initially, the architecture incorporates the minimalist StarNet as its backbone. By leveraging the unique “Star Operation,” it implicitly maps features into a high-dimensional nonlinear space, thereby significantly augmenting feature discriminability while drastically curtailing computational overhead. Furthermore, to mitigate the misdetection issues stemming from the textural similarity between lodged and upright rice, the Rice Spatial Attention (RSA) module was designed. By intensifying feature interaction within the spatial dimension, this module steers the network to focus on the cohesive morphology of lodged regions while effectively suppressing background noise. Experiments conducted on a self-constructed high-resolution rice lodging dataset demonstrate that StarNet-RiceSeg achieves a mIoU of 94.42%, significantly outperforming mainstream models such as U-Net, DeepLabV3+, SegNet and HRNet. Notably, the model maintains a compact footprint with only 8.01 million parameters and a computational load as low as 9.32 GFLOPs. Following optimization with TensorRT, the system achieved a real-time inference speed of 32.51 FPS on the NVIDIA Jetson Xavier NX embedded platform. These results indicate that StarNet-RiceSeg provides a high-precision, low-latency solution for perceiving rice lodging areas in complex field environments, facilitating unmanned precision harvesting. Full article

Population ageing is one of the most significant phenomena of the 21st century. The main objective of this study is to examine the relationship between organizational culture (supportive culture, innovative culture, market culture, and rule culture) and ageism (prejudice and discrimination) and whether this relationship is moderated by organizational age (obsolescence, age norms, perceived time and opportunities left, and disengagement phase). The sample for this study comprises 400 participants from organizations across different sectors. This is a quantitative and correlational study. The results indicate that only supportive culture and perceived time and opportunities left have a negative and significant effect on discrimination. As for the moderating effect, only obsolescence moderates the relationship between rule culture and prejudice. Additionally, older employees reported a stronger perception of a supportive culture. Considering the results obtained, a supportive culture can combat discrimination and the high perception of the ageing process, the latter requiring a greater understanding of what is meant by perceived opportunities. Full article

Rapid post-disaster building damage assessment requires recognizing explicit structural failures and interpreting implicit situational cues in visually complex scenes. Whereas conventional automated methods are often confined to detecting explicit damage patterns, human perception naturally integrates both types of information into a holistic risk judgment. This study presents an exploratory investigation into the neural signatures underlying this integrated judgment process using electroencephalography. A modified paradigm was employed to probe the cognitive dynamics of risk evaluation in participants with civil engineering backgrounds. Although participants were instructed only to identify damaged buildings without explicit severity grading, event-related potential analysis revealed systematic, graded neural responses that scaled with damage severity. This suggests that the brain encodes damage-related information not as a binary state but as a continuous spectrum of perceived risk, implicitly processing severity, even in the absence of explicit instructions. Furthermore, single-trial analysis demonstrated that time-domain features contain robust discriminative information, verifying the feasibility of decoding these latent judgments from brain activity. These findings provide a physiological basis for developing future cognition-informed algorithms and human-in-the-loop frameworks, bridging the semantic gap to enhance the reliability of automated disaster assessment. Full article

While school bullying has received substantial academic attention, the specific roles of teachers as (co-)perpetrators or bystanders in (cyber-)bullying dynamics remain markedly underexplored—particularly in the Austrian context. This article foregrounds pupils’ perception of teachers’ involvement in (cyber-)bullying. Drawing on feminist perspectives and insights from digital and gender(-queer) geographies, as well as interdisciplinary (cyber-)bullying research, it explores how pupils perceive teachers’ involvement in bullying dynamics and how they believe it shapes the perceived severity, trajectories, and outcomes of (cyber-)bullying. In doing so, the article contributes a specific but underexplored perspective on power and violence in schools. The analysis is based on 41 written narratives produced by young people attending upper secondary vocational colleges in Austria. The findings reveal that pupils subjectively perceive teachers as taking on various roles in (cyber-)bullying dynamics, including preventers, (silent) accomplices, defenders, outsiders, and (co-)perpetrators. In these accounts, teacher involvement in bullying reinforces power hierarchies, intensifies victimisation, and intersects with peer bullying dynamics, creating a complex system of interrelated influences. The study highlights the intersectional nature of discrimination and bullying, showing how pupils’ identities are entangled with their embodied experiences of both teacher- and peer-perpetrated bullying. These findings suggest an urgent need for spatially and structurally informed reforms in school policies and teacher training programmes to address teacher-perpetrated bullying, raise awareness of teachers’ responsibility in peer bullying dynamics, and foster safer, more inclusive learning spaces for pupils in Austria. Full article