Search Results (288)

Introduction: Exposure to violence is an adverse experience associated with the perpetration of violent future behaviors such as child-to-parent violence. Objective: The objectives were to analyze the psychometric properties of the Violence Exposure Scale (VES) in a sample of Ecuadorian adolescents as well as its measurement invariance by sex and age; analyze the differences in exposure to violence across four settings (home, school, street, and TV), in two time frames (last year and childhood), according to sex and age; and analyze the relationship between exposure to violence in the four settings and in both time frames with child-to-parent violence. Methods: A cross-sectional study was conducted using a probabilistic sample of 2150 Ecuadorian adolescents (55% female), aged 12 to 18 years (M = 14.53; SD = 1.55). Participants completed the adapted version of the VES and the Child-to-Parent Violence Questionnaire (CPV-Q). Confirmatory factor analyses, reliability testing, convergent and discriminant validity analyses, and measurement invariance assessments were performed. Results: The VES showed excellent model fit in both versions, VES¹ (last year) and VES² (before age 10), with strong goodness-of-fit indices (VES¹: CFI = 0.988; RMSEA = 0.055; VES²: CFI = 0.994; RMSEA = 0.044). Reliability was good (α_o and ω_o ≤ 0.80; G.6 and CR ≤ 0.70). Effect sizes ranged from 0.11 to 0.31 for violence by children toward parents and reached up to 0.83 among the different forms of victimization. Conclusions: The adaptation of the VES in Ecuadorian adolescents showed validity and reliability in assessing exposure to violence. Girls were more at risk at home, while boys were more exposed at school and in the community. Full article

Public safety and security require an effective monitoring system to detect violence through visual, audio, and motion data. However, current methods often fail to utilize the complementary benefits of visual and auditory modalities, thereby reducing their overall effectiveness. To enhance violence detection, we present a novel multimodal method in this paper that detects motion, audio, and visual information from the input to recognize violence. We designed a framework comprising two specialized components: a gated fusion module and a multi-scale transformer, which enables the efficient detection of violence in multimodal data. To ensure a seamless and effective integration of features, a gated fusion module dynamically adjusts the contribution of each modality. At the same time, a multi-modal transformer utilizes multiple instance learning (MIL) to identify violent behaviors more accurately from input data by capturing complex temporal correlations. Our model fully integrates multi-modal information using these techniques, improving the accuracy of violence detection. In this study, we found that our approach outperformed state-of-the-art methods with an accuracy of 86.85% using the XD-Violence dataset, thereby demonstrating the potential of multi-modal fusion in detecting violence. Full article

This study examines the spatial crime perception gap (SCPG), the mismatch between perceived and actual crime, which can lead to unnecessary avoidance behaviors, anxiety, or lack of vigilance. While few studies have explored this phenomenon from a spatial perspective, this research analyses the collective spatial perception of safety and unsafety in Vienna and Budapest and compares them with recorded crime patterns. Using a digital sketch map survey tool, 656 participants identified safe and unsafe areas as well as their daily routes. The responses were analyzed using spatial analytical and statistical methods to delineate the perception gaps in space, which were also diversified by crime type aggregations, including all crimes, violent crimes, property crimes, and visible crimes. Distance-based analyses were also conducted to examine the “spatial diffusion” and “spatial endowment” effects. The results show that many areas that are perceived as unsafe are not statistical crime hotspots. Perception aligns more closely with violent crime patterns than with property or visible crimes. The spatial diffusion effect illustrates that crime hotspots may influence and expand the perception of unsafety in adjacent and nearby areas. The spatial endowment effect suggests that people are more likely to perceive an area as unsafe if it is further away from their activity spaces, while overlooking crime hotspots that may intersect with it. These patterns were consistent across both cities, although the perception gap was larger in Budapest, while the endowment effect was more pronounced in Vienna. By highlighting where and how perception diverges from reality, this study provides insights that can inform strategies to reduce unfounded fear and strengthen the perceived safety and psychological resilience of urban populations. Full article

As an efficient drag reduction technique, ventilated cavity technology demonstrates significant application in underwater launch systems. This study employs numerical simulations to systematically examine the ventilated cavity flow characteristics and cavity–rudder interaction mechanisms for a rudder-equipped axisymmetric body. Numerical simulation predicts the gas leakage behavior, cavity geometry, and internal flow structure. The results indicate that the development of the ventilated cavity proceeds through three distinct stages: rapid growth, slow development, and quasi-periodic shedding. During this process, local high pressure at the leading edge of the rudder suppresses cavity growth, while cavity shedding is associated with re-entrant jet effects. Under the influence of the ventilated cavity, the overall load on the entire body and the local load on the rudder exhibit consistent patterns: F_x > F_y > F_z ≈ 0 and T_z > T_x ≈ T_y ≈ 0, with F_y and T_z fluctuating the most violently. The shedding cavity clusters are primarily concentrated at the rudder root during the quasi-periodic shedding stage. Full article

This study investigates the transformations of the Hungarian Catholic clergy during the 20th century in its social relations, self-perception, and attitudes, with a particular focus on the Diocese of Pécs. It concentrates on events that caused collective shock, such as the advance of the front and the Soviet occupation during World War II; the confiscation of church property; the enforced migration processes; and the impact of the Communist regime’s ecclesiastical and social policies. The analysis emphasizes the role- and context-dependent patterns discernible in the documents produced by the clergy concerning these events, particularly in the parish Historia Domus. The study models the impact of these violent reconfigurations on clergy dispositions within the framework of Bourdieu’s concept of habitus, specifically the notions of “cleft” and “plural habitus”, highlighting the significance of behavior patterns in praxis transmitted through generations of clergy. It interprets the discrepancy between the altered context of action and the long-established, “interiorized” habitus, considering the phenomenon of asynchronicity, and identifies general and context-specific characteristics through a method of historical comparison. Overall, the study offers a perspective that perceives the historically evolved specificities of the norm as intrinsically linked to the local context. Full article

Intelligent video analysis tools have advanced significantly, with numerous cameras installed in various locations to enhance security and monitor unusual events. However, the effective detection and monitoring of violent incidents often depend on manual effort and time-consuming analysis of recorded footage, which can delay timely interventions. Deep learning has emerged as a powerful approach for extracting critical features essential to identifying and classifying violent behavior, enabling the development of accurate and scalable models across diverse domains. This study presents the Int.2D-3D-CNN architecture, which integrates a two-dimensional convolutional neural network (2D-CNN) and 3D-CNNs for video-based violence recognition. Compared to traditional 2D-CNN and 3D-CNN models, the proposed Int.2D-3D-CNN model presents improved performance on the Hockey Fight, Movie, and Violent Flows datasets. The architecture captures both static and dynamic characteristics of violent scenes by integrating spatial and temporal information. Specifically, the 2D-CNN component employs lightweight MobileNetV1 and MobileNetV2 to extract spatial features from individual frames, while a simplified 3D-CNN module with a single 3D convolution layer captures motion and temporal dependencies across sequences. Evaluation results highlight the robustness of the proposed model in accurately distinguishing violent from non-violent videos under diverse conditions. The Int.2D-3D-CNN model achieved accuracies of 98%, 100%, and 98% on the Hockey Fight, Movie, and Violent Flows datasets, respectively, indicating strong potential for violence recognition applications. Full article

Background and Objectives: The COVID-19 pandemic placed substantial mental and physical burdens on healthcare workers, particularly nurses. In the post-pandemic period, sustained stress, elevated mental workload and disturbed sleep may continue to affect well-being and job performance. This study aimed to assess perceived stress levels, occupational stress, and sleep quality among Hungarian nurses, while identifying key demographic, occupational, and behavioral predictors. Materials and Methods: A cross-sectional, quantitative study was conducted from April to July 2022 among nurses employed in Hungarian general hospitals (N = 418). Data were collected via an online self-administered questionnaire. Stress and sleep quality were measured using the Perceived Stress Scale (PSS-14), Expanded Nursing Stress Scale (ENSS), and Groningen Sleep Quality Scale (GSQS). Statistical analysis included descriptive statistics, ANOVA, post hoc tests, t-tests, and Pearson’s correlation (p < 0.05). Results: The mean PSS-14 score was 27.82 (SD = 7.82), indicating moderate stress. Sleep quality was poor (mean GSQS = 7.29, SD = 4.28), with significant positive correlation with perceived stress (r = 0.442, p < 0.001). Low income, lower education, and high coffee or alcohol consumption, and multiple night shifts were significantly associated with higher stress and poorer sleep quality. Occupational stress and mental workload, as measured by ENSS, was highest in internal medicine (mean = 122.16, SD = 37.09; p = 0.033). The most burdensome ENSS subscale was “workload” (mean = 2.30, SD = 0.92), with “not enough staff to adequately cover the unit” identified as the most stressful item. Additional cognitive and emotional workload components included dealing with violent patients and a lack of emotional preparedness in supporting families. Conclusions: Post-COVID nurses in Hungary experience moderate stress and impaired sleep. Excessive workload, emotional demands, and shift patterns significantly contribute to psychological and cognitive strain. Institutional and policy-level interventions are needed to reduce occupational stress and promote workforce resilience. Full article

With coal mines’ mining depth increasing, the stress environment in deep mining (including key factors such as high ground stress, strong disturbance, and complex geological structures, as well as stress redistribution after deformation of surrounding roadway rock) is complex, which leads to increasingly prominent deformation and failure problems for goaf-side roadways in thick coal seams. Surrounding rock deformation is difficult to control, and mine pressure behavior is violent, making traditional support technologies no longer able to meet the mining safety requirements of roadways in deep thick coal seams. Taking the 6311 working face of Tangkou Coal Mine as the engineering research background, this paper systematically summarizes the deformation and failure characteristics of goaf-side roadways in deep thick coal seams through field monitoring, borehole peeping, and other means, and conducts in-depth analysis of their failure mechanisms and influencing factors. Aiming at these problems, a synergistic support–unloading control method for goaf-side roadways is proposed, which integrates roof blasting pressure relief, coal pillar grouting reinforcement, and constant-resistance energy-absorbing anchor cable support. The effects of the unsupported scheme, original support scheme, and synergistic support–unloading control scheme are compared and analyzed through FLAC^3D numerical simulation. Further verification through field application shows that it has remarkable effects in controlling roadway convergence deformation, roof separation, and bolt (cable) stress. Specifically, compared with the original support schemes, the horizontal displacement on the coal pillar side is reduced by 89.5% compared with the original support scheme, and the horizontal displacement on the solid coal side is reduced by 79.3%; the vertical displacement on the coal pillar side is reduced by 45.8% and the vertical displacement on the solid coal side is reduced by 42.4%. Compared with the original support scheme, the maximum deformation of the roadway’s solid coal rib, roof, and coal pillar rib is reduced by 76%, 83%, and 88%, respectively, while the separation between the shallow and deep roof remains at a low level. The coal stress continues fluctuating stably during the monitoring period; the force on the bolts (cables) does not exceed the designed anchoring force, with sufficient bearing reserve space (47% remaining), and no breakage occurs, which fully proves the feasibility and effectiveness of the synergistic support–unloading control technology scheme. This technology realizes the effective control of on-site roadways and provides technical reference for the support engineering of coal mine goaf-side roadways under similar conditions. Full article

Background: Workplace mobbing is a widespread phenomenon with serious psychological and emotional consequences on employees’ emotional well-being. Psychological resilience has been identified as a potential protective factor against such adverse outcomes. Aim: This study investigates the relationship between workplace mobbing and emotional well-being, as expressed through positive and negative affect, and examines the mediating role of psychological resilience in this association. Methods: Ninety nurses participated in this cross-sectional study. Data were collected using the Connor–Davidson Resilience Scale (CD-RISC), the Workplace Psychologically Violent Behaviors (WPVB) scale, and the Positive and Negative Affect Schedule (PANAS). Statistical analyses included correlation, multiple regression, and mediation using bootstrapped confidence intervals. Results: Resilience was strongly associated with positive affect (r = 0.74, p < 0.001) and inversely with negative affect (r = −0.46, p < 0.001). Mobbing was significantly related to increased negative affect (β = 0.12, p < 0.001) but not to positive affect. Resilience emerged as the strongest predictor of emotional outcomes and partially mediated the relationship between “Attack on professional role” and negative affect. Conclusions: Psychological resilience plays a key protective role in moderating the emotional impact of workplace mobbing. Enhancing resilience in healthcare professionals may mitigate the negative emotional effects of mobbing, although it does not fully buffer against all its consequences. Full article

Background: Moral harassment (mobbing) in healthcare, particularly among nurses, remains a persistent issue with detrimental effects on mental health, resilience, and quality of life. Aim: We examine the relationship between the resilience of nurses working in Emergency Departments (EDs) and how these factors influence experiences of workplace mobbing. Methods: This cross-sectional study included 90 nurses from four public hospitals in Greece’s 5th Health District. Data were collected between October 2023 and March 2024 using the WHOQOL-BREF, Workplace Psychologically Violent Behaviors (WPVB) scale and the Connor–Davidson Resilience Scale (CD-RISC). The sample consisted primarily of full-time nurses (84.3% female; mean age = 43.1 years), with 21.1% reporting chronic conditions. Most participants were married (80.0%) and had children (74.4%), typically two (56.1%). Statistical analyses—conducted using SPSS version 27.0—included descriptive statistics, Pearson and Spearman correlations, multiple linear regression, and mediation analysis, with significance set at p < 0.05. Results: Resilience was moderate (mean = 66.38%; Cronbach’s α = 0.93) and positively correlated with all WHOQOL-BREF domains—physical, psychological, social, and environmental (r = 0.30–0.40)—but not with the overall WHOQOL-BREF. The mean overall WHOQOL-BREF score was 68.4%, with the lowest scores observed in the environmental domain (mean = 53.76%). Workplace mobbing levels were low to moderate (mean WPVB score = 17.87), with subscale reliabilities ranging from α = 0.78 to 0.95. Mobbing was negatively associated with social relationships and the environmental WHOQOL-BREF (ρ = –0.23 to –0.33). Regression analysis showed that cohabitation and higher resilience significantly predicted better WHOQOL-BREF outcomes, whereas mobbing was not a significant predictor. Mediation analysis (bootstrap N = 5000) indicated no significant indirect effect of resilience in the relationship between mobbing and WHOQOL-BREF. Conclusions: Resilience was identified as a key protective factor for nurses’ quality of life in emergency care settings. Although workplace mobbing was present at low-to-moderate levels, it was negatively associated with specific WHOQOL-BREF domains. Enhancing mental resilience among nurses may serve as a valuable strategy to mitigate the psychological effects of moral harassment in healthcare environments. Full article

Background/Objectives: Substance use disorders and eating disorders frequently co-occur and are both associated with increased aggression. As a result, individuals with these conditions are overrepresented in prison populations. The present study investigated whether symptoms of eating disorders in male forensic psychiatric inpatients with substance use disorders are associated with heightened aggression. To this end, various forms of aggressive behavior—including spontaneous and reactive aggression, excitability, and violent offenses—were analyzed. Methods: Fifty-six male patients from two forensic psychiatric hospitals in Germany participated in the study. Symptoms of eating disorders were evaluated with the German version of the Eating Disorder Examination Questionnaire (EDE-Q), and aggression was measured with the Short Questionnaire for the Assessment of Aggression Factors (K-FAF) and by considering the violent index offense. Data were analyzed by generalized linear models, with age and body mass index (BMI) included as covariates. Results: Higher EDE-Q scores significantly predicted increased spontaneous aggression and excitability. However, no significant association was found between eating disorder symptoms and reactive aggression or the likelihood of a violent index offense. Age and BMI did not significantly influence any aggression subscales. Conclusions: The findings suggest that in patients with substance use disorder, eating disorder symptoms may be linked to heightened internalized forms of aggression. These results support the clinical relevance of screening for eating disorder symptoms in forensic psychiatric settings and integrating dietary interventions into therapeutic efforts to manage aggression. Full article

Background: Emotional abuse is both prevalent and underrecognized particularly in culturally complex settings like India. Adolescents, being in a critical developmental phase, are especially vulnerable to the long-lasting psychological effects of emotional abuse. This qualitative literature review aims to synthesize findings from primary studies that explore the lived experiences of emotional abuse among Indian adolescents and identify emerging patterns across sociocultural contexts. Method: Electronic databases, including DOAJ, Google Scholar, ProQuest, JSTOR, Pubmed, PsycNet, and SCOPUS, were searched for peer-reviewed articles published in English up to March 2025. Inclusion criteria comprised qualitative or mixed-methods research focusing on emotional abuse among adolescents aged 12–20 in Indian contexts. The Critical Appraisal Skills Programme (CASP) was used for quality assessment. Results: Five major thematic domains were identified across the included studies: (1) Family as a primary site of emotional abuse; (2) Gendered experiences of abuse; (3) Cultural normalization and silence; (4) Psychological and emotional consequences; and (5) Coping and resilience among adolescents. These themes reflect shared experiences of emotional abuse shaped by cultural, familial, and gender-based expectations. Conclusions: This review highlights the urgent need for increased awareness and culturally sensitive interventions addressing emotional abuse in Indian adolescents. The findings suggest that parents, educators, and policymakers must recognize emotionally harmful behaviors and implement prevention-oriented strategies, particularly through non-violent communication and adolescent mental health support frameworks. Full article

This study introduces and validates a novel instrument to measure aggressive gender backlash (AGB), a distinct and underexplored dimension of gender backlash (GB) within intimate partner relationships. Based on the General Aggression Model, a multidimensional scale was developed and tested using data from 513 Peruvian female microentrepreneurs. Results demonstrate solid evidence of reliability, discriminant validity, and predictive validity across five dimensions: hostility, the withdrawal of support, sabotage/coercion, gender stereotyping, and masculine victimization. The findings reveal that AGB is more prevalent than intimate partner violence against women (IPVAW) and often precedes it. AGB encompasses covert, non-violent behaviors that aim to resist female empowerment, such as emotional sabotage, manipulation, and disqualification, often normalized within relationships. This construct is significantly associated with lower levels of empowerment, increased subordination, emotional morbidity, and decreased work productivity. This study redefines GB as an interpersonal process measurable at the individual level and provides the first validated tool for its assessment. By conceptualizing AGB as a persistent, harmful, and functionally equivalent mechanism to IPVAW, though not necessarily physically violent, this research fills a key gap in gender violence literature. It offers practical implications for early detection and prevention strategies. Full article

The rapid development of online media has significantly facilitated the public’s information consumption, knowledge acquisition, and opinion exchange. However, it has also led to more violent conflicts in online discussions. Therefore, controversy detection becomes important for computational and social sciences. Previous research on detection methods has primarily focused on larger datasets and more complex computational models but has rarely examined the underlying mechanisms of conflict, particularly the psychological motivations behind them. In this paper, we propose a lightweight and language-independent method for controversy detection by introducing two novel psychological features: ascending gradient (AG) and tier ascending gradient (TAG). These features capture psychological signals in user interactions—specifically, the patterns where controversial comments generate disproportionate replies or replies outperform parent comments in likes. We develop these features based on the theory of the backfire effect in ideological conflict and demonstrate their consistent effectiveness across models and platforms. Compared with structural, interaction, and text-based features, AG and TAG show higher importance scores and better generalizability. Extensive experiments on Chinese and English platforms (Reddit, Toutiao, and Sina) confirm the robustness of our features across languages and algorithms. Moreover, the features exhibit strong performance even when applied to early-stage data or limited “one-page” scenarios, supporting their utility for early controversy detection. Our work highlights a new psychological perspective on conflict behavior in online discussions and bridges behavioral patterns and computational modeling. Full article

Affective–sexual education programs (ASEPs) are effective in combating gender violence (GV). Most previous studies have focused on the short-term effect these programs have on explicit sexist attitudes. The objective of this study was to analyze the short- and medium-term effect of an ASEP regarding sexist attitudes. An educational intervention study was carried out on 561 high school students in Tenerife (Spain). The 15 h intervention used a participatory methodology with debates, working groups, and game dynamics. Explicit attitudes were measured with the scale of sexist, violent, and stereotyped attitudes (SVSAs) and the gender role attitudes scale (GRAS), and implicit attitudes were measured with the assessment of the behavior of the characters of a brief tailored story, in which an interaction between two young people with an ambiguous component of gender violence is described. Four measurements were made: pre-intervention, post-intervention, 6 months, and 12 months. After the intervention, in the experimental group, scale scores decreased (SVSA from 28.7 ± 7.7 to 21.8 ± 2.1, p < 0.0001; GRAS from 30.6 ± 7.8 to 22.3 ± 2.8, p < 0.0001), and the level of approval of the behavior of the female character of the story improved (from 5.4 ± 2.6 to 7.6 ± 2.1, p < 0.0001). The effect of the intervention on sexist attitudes was maintained until the end of the 12-month follow-up period. Full article