Search Results (832)

This study examined the role of work–family conflict as a linking mechanism between difficulties in emotion regulation (ER) and perceived parental self-efficacy (PPSE). Participants were 228 working parents (74.6% women; mean age = 45.24, SD = 7.16), who completed self-report measures of ER difficulties, work–family conflict, and PPSE. Lack of emotional awareness and non-acceptance of emotions were positively related to PPSE, but these associations were not significant when work–family conflict dimensions were considered. Difficulties in goal-directed behavior and limited access to ER strategies were associated with lower PSSE, with strain-based conflict emerging as a relevant pathway for difficulties in goal-directed behavior (95% CI [0.04, 2.67]). Difficulties controlling impulsive behaviors and lack of emotional clarity were linked to lower perceived PPSE through behavior-based conflict (95% CI [−2.04, −0.15]; [−2.01, −0.09], respectively). Overall, the findings suggest that specific ER difficulties may reduce parents’ confidence by increasing strain and behavioral interference between work and family roles. Promoting ER skills may help parents manage these demands more effectively and maintain a stronger sense of parental efficacy. Full article

Background: Frontal lobe circuit dysfunction, including the mesolimbic network, plays an important role in learning reward behaviors and is involved in the development of impulsive compulsive disorders (ICDs) in Parkinson’s disease (PD). ICDs in PD are characterized by disinhibited, reward-driven behaviors performed with poor impulse control, often linked to dopaminergic treatment. The purpose of the present study was to assess the presence of these behaviors in relation to frontal dysfunction and overall cognitive status in a cohort of patients with sporadic PD. Methods: The study consisted of 55 patients (n = 55), 36 males (65.5%), diagnosed with Parkinson’s disease, assessed at the First Neurological Clinic of Eginition University Hospital in Athens. The participants had a mean age of 62.6 (±13.54) years, with an average of 11.94 (±3.00) years of education and a mean disease duration of 7.17 (±5.90) years. The evaluation tools used to assess the participants were the Questionnaire for Impulsive-Compulsive Disorders in Parkinson’s Disease (QUIP), Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), and Geriatric Depression Scale (GDS). Results: The mean score on the QUIP was 0.64 (±1.05), with a threshold of 1. Of the total number of patients (n = 55), 18 (32.72%) showed behaviors related to ICDs. The most commonly reported impulsive compulsive behavior was an excessive preoccupation with hobbies (n = 7, 38.9%), followed by a tendency toward gambling (n = 6, 33.3%). The mean score on the MoCA scale was 24.69/30 (±4.25), while the mean score on the FAB scale was 14.70/18 (±2.45). Pearson’s correlation analysis revealed a moderate positive correlation between total MoCA score and FAB (r = 0.588, p < 0.000) and a weak to moderate negative correlation between MoCA score and QUIP (r = −0.291, p = 0.038). Additionally, there was a statistically significant negative correlation between QUIP scores and performance on the MoCA attention subtests (Forward Digit Span, Backward Digit Span, and Vigilance tasks), (r = −0.389, p = 0.009). Conclusions: Lower global cognitive function, as measured by the MoCA, was strongly associated with reduced frontal lobe function, as measured by the FAB, in Parkinson’s patients. Additionally, lower scores on the MoCA, particularly in the attention subtests, showed a weak to moderate correlation with increased impulsive compulsive behaviors, as measured by the QUIP. Full article

Background/Objectives: Suicidal ideation and non-suicidal self-injury (NSSI) among elementary school students represent critical public health concerns that require develop-mentally appropriate, evidence-informed school-based interventions. This study con-ducted a retrospective comparative analysis of two school-based approaches—Sandplay Therapy with Suicidal Ideation and Self-Injury-Focused Engagement (SPT-SAFE) and a School-based Dialectical Behavior Therapy-informed Brief Intervention (DBT-BI)—for elementary school students presenting with suicidal ideation and NSSI. The objective was to describe pre–post-changes in key outcomes within each intervention and to explore whether outcome trajectories differed between the two approaches in a non-randomized, real-world school-based setting. Methods: This retrospective study analyzed archival clinical records from 109 elementary school students (SPT-SAFE: N = 59; DBT-BI: N = 50) who received services at a school-based suicide prevention center in South Korea between 2022 and 2024. Seven validated outcome measures assessed suicidal ideation, NSSI frequency, depression, anxiety, aggression, impulsiveness, and self-concept at pre- and post-intervention. Pre–post-changes and exploratory between-group differences were examined using 2 × 2 mixed-design ANOVAs (Group × Time interaction), with baseline-adjusted ANCOVAs conducted as complementary analyses. Suicidal ideation was operationalized using the SIQ-JR total score, and NSSI was operationalized using the FASM summed frequency index. Results: Both interventions were associated with significant reductions in suicidal ideation (F = 29.98, p < 0.001, partial η² = 0.219) and NSSI frequency (F = 15.95, p < 0.001, partial η² = 0.130), with large within-group effect sizes and no significant Group × Time interactions. Accordingly, between-group differences were limited and should be interpreted as exploratory rather than comparative–effectiveness evidence. Modest between-group differences favoring DBT-BI were observed for self-concept outcomes (F = 4.14, p = 0.044, partial η² = 0.037; d = −0.39). Conclusions: These findings suggest that both interventions were associated with pre–post-improvements in suicidal ideation and NSSI frequency within a school-based clinical context. Full article

Fibromyalgia (FM) is associated with increased suicidal behavior (SB). This critical review integrates the ideation-to-action models—Interpersonal Theory of Suicide (IPTS), Three-Step Theory (3ST), and Integrated Motivational–Volitional (IMV) Model—with clinical and neuropsychological correlates to discriminate between suicidal ideation (the motivational component) and suicidal action (the volitional component) in FM. Ideation is related to hopelessness, perceived burden, thwarted belongingness, and entrapment, as well as to pain/interference, sleep disturbances, fatigue, mood, pain catastrophizing, and attentional pain vigilance. The transition to action is associated with impulsivity, executive dysfunction (including inhibitory control, flexibility, and decision-making under ambiguity/risk), acquired capability due to repeated exposure to pain and medical procedures, and access to lethal means. Suicidal planning is conceptualized as high-severity ideation, while action includes preparatory behaviors and suicide attempts. Evidence from Spanish instruments is synthesized—Columbia Suicide Severity Rating Scale (C-SSRS), Plutchik Suicide Risk Scale (PSRS), Beck Depression Inventory-II (Item 9 of the BDI-II), and Suicide Behaviors Questionnaire—Revised (SBQ-R)—pointing out overlaps with pain/depression and the lack of specific validation in FM. Prospective cohorts, standardization of definitions/windows, comparable neuropsychological batteries, and mechanistic trials on motivational and volitional targets and interventions focused on pain reduction are proposed. Full article

Tunnel ahead prospecting is important for reducing construction risks associated with faults, fractured zones, and cavities ahead of the tunnel face, but controlled active-source surveys are often impractical during continuous TBM operation. TBM drilling-noise records provide persistent passive excitation; however, strong nonstationarity and narrowband tonal contamination can hinder stable retrieval of interpretable impulse-like responses. We propose an adaptive impulse reconstruction algorithm that couples CEEMDAN-based mode screening with MDD interferometry. CEEMDAN screening suppresses quasi-stationary tonal components while preserving coherent propagation-related wavefields, producing effective signals suitable for interferometric processing. The MDD stage is stabilized using band-limited inversion, phase-only whitening, and a multi-reference strategy. Numerical experiments with a 3D elastic tunnel model indicate that the proposed workflow yields a more compact and laterally coherent virtual-source gather than correlation-based baselines (CC and PHAT-CC) and single-reference deconvolution interferometry, supporting reflection-oriented interpretation beyond simple wavelet compression. Field measurements from an operating TBM tunnel, together with a hammer-impact benchmark, are consistent with the feasibility of the workflow under real tunneling conditions and with physically plausible moveout behavior in the reconstructed gathers. Full article

Craving for mobile phone use is increasingly discussed as a relevant feature of problematic engagement with digital technologies. This population-based study of 1601 Spanish adults examined psychological factors (impulsivity traits and affective symptoms) and behavioral correlates linked to mobile phone craving. Primary outcome: Mobile phone craving scale (MPACS). Secondary analyses: Associations between craving and impulsivity, anxiety, depression, Internet Gaming Disorder (IGD), gambling severity, and alcohol use. Craving measured with the MPACS was most common among younger participants (16–35 years old) and strongly related to greater daily phone use, heightened impulsivity, especially urgency and sensation seeking, and higher levels of anxiety and depressive symptoms. Among individuals who use their phones for gaming or gambling (n = 463), craving was strongly associated with IGD and gambling severity, suggesting that mobile phones may amplify involvement in these behaviors. Exploratory factor analyses consistently revealed four underlying dimensions—Reactive Impulsivity, Cognitive Impulsivity, Negative Emotions, and Addictive Behaviors—each contributing differently depending on craving intensity. Logistic regression analyses showed that anxiety, impulsivity, phone-use duration, and IGD scores independently predicted high craving levels. Overall, the findings highlight mobile phone craving as a clinically meaningful, multidimensional construct tied to emotional dysregulation and behavioral addiction. Assessing craving may help identify individuals at heightened risk for problematic technology use and related psychological difficulties. Full article

Behavioral regulation in elite combat sports relies on traits such as anxiety, impulsivity, and personality, which are partly shaped by dopaminergic signaling. However, integrative approaches linking multidimensional behavioral profiles with genetic variability in athletes remain limited. This study aimed to identify distinct psychological profiles in elite combat athletes and examine whether these profiles differ in selected dopaminergic gene polymorphisms. A total of 200 male Polish elite combat athletes completed validated questionnaires assessing personality, anxiety, impulsivity, attention-related symptoms, and hedonic capacity. Standardized psychological variables were analyzed using a two-step clustering procedure. Genotype distributions were compared across clusters using chi-square tests. The clusters showed clear behavioral differentiation. Cluster 1 demonstrated higher anxiety, impulsivity, neuroticism, and attention-related symptoms. Cluster 2 showed lower anxiety and impulsivity alongside higher extraversion and conscientiousness. Cluster 3 displayed intermediate behavioral characteristics but the most distinctive genotype pattern. These findings suggest that combining behavioral clustering with genetic data may help characterize meaningful neurogenetic profiles in elite athletes and provide hypothesis-generating insights into genotype–phenotype relationships. Full article

This study used a Systemic Modeling technique, based on the methodologies of Churchman and Ackoff, to integrate and assess the subsystems regulating the functionality of a Rocket Candy (R-Candy) motor. The nozzle and combustion chamber design was improved using a five-phase systemic architecture to assure the coherent interplay of essential factors, including pressure, temperature, and velocity fields. The principles of experimental rocketry are elucidated through the examination of impulse performance throughout class A to class C engines. A preliminary design was developed in SolidWorks 2024, incorporating the engine’s three main components: the igniter, the combustion chamber, and a convergent–divergent nozzle that enhances the acceleration of the exhaust gases. The system model was validated using simulations in FEATool and verified through experimentation. This allowed for the analysis of fluid behavior, as well as the geometry of the structures, initial parameters, and boundary conditions. The results demonstrate a strong correlation between the simulations and the experimental data, with discrepancies of less than 1.5%, confirming the reliability and feasibility of the nozzle design. The findings indicate that systemic modeling, in conjunction with CFD and experimentation, can provide a strategic framework for iterative refinement, optimization of key performance metrics, and the development of cost-effective, high-performance R-Candy engines for educational and experimental purposes. Full article

Background: Non-suicidal self-injury (NSSI) is defined as the intentional damage to one’s body tissue without suicidal intent and for reasons that are not socially sanctioned. While NSSI has been widely studied in the general population, its clinical correlates and management in autism spectrum disorder (ASD) remain less clearly characterized, and it is often conflated with self-injurious behavior (SIB) described within restricted and repetitive behaviors (RRBs). In individuals with ASD, NSSI may be associated with emotional, behavioral, cognitive, social, medical, and demographic factors, and it differs from SIB typically observed among individuals with severe intellectual disabilities. Methods: A systematic review was conducted in accordance with PRISMA guidelines. Studies published between 2000 and 2025 that assessed NSSI in individuals with a formal ASD diagnosis were included. Etiological/clinical correlates, explanatory mechanisms, and management challenges were examined. Sixteen studies were selected from PubMed, Scopus, and Web of Science. Findings were synthesized using narrative and thematic approaches. Results: The prevalence of NSSI among individuals with ASD ranged from 24% to 50%. Associated factors included emotion dysregulation (including alexithymia and affective distress), behavioral dysregulation (e.g., impulsivity/hyperactivity and aggression), sensory processing difficulties, communication and social impairments, and medical comorbidities (i.e., gastrointestinal and sleep problems), with preliminary evidence also implicating perinatal factors. NSSI was linked to emotion regulation, sensation seeking, and social communication processes. Early intervention and parental involvement were identified as protective factors. Conclusions: NSSI in ASD is a complex, multifactorial phenomenon frequently linked to emotion-regulation needs. Affective imbalance represents a central—though not exclusive—pathway. The review supports standardized terminology, function-based assessment, and clearer differentiation from SIB/RRBs, with implications for individualized interventions and sustained monitoring in persistent or severe cases. Routine screening for medical and sensory contributors may further improve case management and reduce preventable clinical burden. Full article

Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that is found in both children and adults. While this disorder often continues in adulthood, diagnosis can be challenging, particularly in females. Unlike males, who are often diagnosed with ADHD due to their externalizing behaviors (i.e., impulsive nature), most females show inattentive symptoms (i.e., in focusing, disorganization), which makes this disorder hard to detect. This paper proposes a machine learning approach to detect ADHD among females. The Wids Datathon 2025 provides three datasets: categorical data, quantitative data, and function connectomes. It contains information on 1213 participants who are seeking to take a test to detect ADHD. Categorical data includes 10 attributes, quantitative data has 19 attributes, and functional connectomes contain 19,901 attributes which are relevant to studying the participants’ overall condition. By combining both XGBoost and Random Forest, an accuracy of 79.42% was achieved. The results show that machine learning algorithms can help in improving ADHD detection in females, leading to better diagnoses in future. Full article

This study applies phase plane analysis of medio-lateral, anteroposterior, and vertical directions for the coordination assessment of whole-body (WB) center of mass (COM) movement during the impulse phase of a standard maximum vertical jump (MVJ) with long, short, and no countermovement (CM). A video system and force platform were used, with the amplitudes of WB COM excursion obtained from image-based motion capture at each anatomical direction, and the 2D and 3D mean radial distance were compared under long, short, and no CM conditions. The estimate of the population mean length was used as a measure of distribution concentration, and the Rayleigh statistical test for circular data was applied with the sample distribution critical value. Watson’s U² goodness-of-fit test for the von Mises distribution was used with the mean direction and concentration factor. The applied metrics led to the detection of shared and specific features in the global and phase plane analysis of WB COM movement coordination in the medio-lateral, anteroposterior, and vertical directions during long, short, and no CM conditions in relation to MVJ performance assessed from ground reaction force (GRF) through the force platform. Thus, long, short, and no CM impulses share lower amplitudes of WB COM excursion in the medio-lateral direction and mean radial distance to its mean, whereas the anteroposterior and vertical excursion of WB COM, along with the 2D transversal and 3D spatial length of the WB COM path, present as potential predictors of MVJ performance, with distinct behavior in long CM compared to short and no CM. Additionally, the applied workflow on generalized phase plane analysis led to the detection, through complementary metrics, of the anatomical WB COM movement directions with higher coordination based on phase concentration tests at 5% significance, in line with MVJ performance under different CM conditions. Full article

Air-to-air (A2A) and air-to-ground (A2G) communication links are typical link types for unmanned aerial vehicle (UAV) communication networks, where radio propagation channels are fundamental for the design and optimization of corresponding communication systems. In this paper, a UAV channel measurement system based on two unmanned aerial vehicles (UAVs) is developed, which is capable of simultaneous A2A and A2G measurements. This system adopts an integrated hardware and signal processing architecture that ensures time and frequency synchronization among multiple aerial and ground nodes. Several data postprocessing steps, including the back-to-back calibration, sliding-correlation-based channel impulse response (CIR) extraction, and constant false alarm rate (CFAR)-based multi-path extraction, are performed to achieve accurate channel data. A channel emulator is used to validate the accuracy of the developed system. Finally, the developed channel measurement system is applied to conduct field channel measurements in a campus scenario. Measured channel characteristics, including path loss (PL), shadow fading (SF), Rician K-factor, root mean square delay spread (RMS-DS), and small-scale fading (SSF) are analyzed, which reveal distinct propagation behaviors between the A2A and A2G channels. These results provide valuable experimental insights and channel measurement data for modeling UAV channels. Full article

Background: During social foraging, individuals typically adopt one of two mutually exclusive strategies: (1) producing, which involves searching for, discovering, and acquiring resources, or (2) scrounging, which entails exploiting resources previously discovered by others. The distribution of these strategies within a group is referred to as the Producer–Scrounger (P-S) Game. Although the influence of personality on the Producer–Scrounger Game has been examined in non-human species through measures of individual differences, few studies have yet explored this relationship in humans. Objective: We aimed to examine the association between social foraging strategies and personality traits in human participants, using the Big Five dimensions: openness, conscientiousness, extraversion, agreeableness, and neuroticism, with their higher-order metatraits measured as composite scores: stability and plasticity, and psychopathy traits measured with the Antisocial Process Screening Device (APSD): callous–unemotional, impulsivity, and narcissism. Methods: Forty-five participants completed the Guaymas Foraging Task (GFT), designed to simulate a social foraging scenario under two 4 min conditions: one in which the cost of producing was 0 s, and another in which it was 8 s. Participants also completed the Big Five Inventory and the APSD. Results: Openness (p = 0.018, R² = 0.124), agreeableness (p = 0.002, R² = 0.209), extraversion (p = 0.019, R² = 0.121), stability (p = 0.022, R² = 0.117), and plasticity (p = 0.007, R² = 0.160) traits were associated with higher producer’s indexes. However, these correlations emerged only under the low-cost condition. No correlations were found between the producer’s index and psychopathic traits; nonetheless, participants above the APSD’s cutoff score scrounged significantly more, but only in the low-cost condition. Conclusions: Individual differences such as personality seem to be correlated with different foraging strategies; nonetheless, the behavioral expression of these traits seems to diminish when the environment is not favorable for their preferred strategy. Full article

Background/Objectives: The treatment of dual disorders (DDs) must be comprehensive and multidisciplinary. Evidence supports the effectiveness of psychotherapy in treating DDs. The second part of this consensus synthesizes the available evidence on psychological treatment for specific DDs. Methods: Two consensus methods were sequentially implemented: the nominal group technique and the Delphi method. Results: This consensus review encompassed a compilation of recommendations for the psychological treatment of neurodevelopmental, anxiety, post-traumatic stress, somatic symptom, eating, and personality disorders. Finally, recommendations for the future research agenda on the psychological treatment of DD were included. Conclusions: (1) Psychological treatment, particularly integrated treatment, is effective. (2) In the case of dual autism, interventions for substance use disorders should be adapted to this population’s characteristics. (3) More research is needed on dual social anxiety, panic, generalized anxiety, somatic symptom, and eating disorders, for which Cognitive Behavioral Therapy (CBT) is the most commonly used treatment. (4) For dual attention deficit hyperactivity disorder, multicomponent treatment is recommended (psychoeducation, CBT, and peer or family support). (5) For dual anxiety disorders, CBT is the first-line treatment. (6) For dual post-traumatic stress disorder, CBT (cognitive processing therapy and prolonged exposure therapy), acceptance and commitment therapy, stress inoculation training, and Eye Movement Desensitization and Reprocessing (EMDR) are effective. (7) For dual personality disorders, evidence is scarce. (8) For borderline personality disorder, dialectical behavior therapy, dynamic deconstructive psychotherapy, and dual-focus schema therapy show promise. (9) For antisocial personality disorder, CBT, contingency management, and counseling on impulsive lifestyles may be useful. (10) Much more evidence is needed from studies that overcome the methodological limitations of existing ones. Full article

The interplay between fiscal and monetary policy is critical for small open economies exposed to global volatility, yet the regime-dependent nature of this transmission often remains underexplored. This study investigates whether the Hungarian economy operated under fiscal or monetary dominance from 2010 to 2024, a period marked by significant external shocks. Adopting a Markov Regime-Switching VAR (MS-VAR) framework tailored to an open-economy context, the research estimates state-dependent reaction functions and Impulse Response Functions (IRFs) for both the central bank and the fiscal authority. The model explicitly controls for exogenous geopolitical and economic crises and is validated through rigorous stationarity and regime-selection tests. Empirical results reveal that Hungary predominantly operated under fiscal dominance, with the fiscal authority exhibiting non-Ricardian behavior and no significant response to debt accumulation across the sample. Conversely, the Magyar Nemzeti Bank demonstrated regime-switching behavior: a “Passive” stance accommodating fiscal expansion from 2013 to 2019, followed by a forced shift to an “Active” regime in 2022 characterized by aggressive responses to inflation and high-interest rate volatility. These findings suggest that in small open economies, policy dominance is frequently dictated by external constraints, with the burden of macroeconomic stabilization falling disproportionately on monetary policy during crisis episodes. Full article