Search Results (1,626)

Background: The aim of the present study was to analyse the association between neuroticism (one of the Big Five personality traits) and the most common secondary sensorimotor complications occurring in patients after spinal cord injury (SCI), i.e., muscle spasticity (hypertonia) and pain, and to investigate the associations between neuroticism and the effects of conventional rehabilitation (dynamic parapodium) and those using robotic-assisted gait training (RAGT) in this group of patients. In addition, the association of neuroticism with self-efficacy, personal beliefs about pain control, and adopted coping strategies among SCI patients was analysed. These data can be used as a reference for designing effective forms of therapy and support dedicated to this group of patients. Methods and procedures: Quantitative analysis included 110 patients after SCI. The participants were divided by simple randomisation into a rehabilitation group with RAGT and a rehabilitation group with dynamic parapodium therapy (DPT). The following survey instruments were used for data collection: Revised NEO Personality Inventory (NEO-PI-R); Ashworth Scale; the Spinal Cord Independence Measure III (SCIM III); the Walking Index for Spinal Cord Injury II (WISCI-II); the American Spinal Injury Association Impairment Scale (AIS); the Pain Coping Strategies Questionnaire—CSQ; and the Beliefs about Pain Control Questionnaire—BPCQ. Outcomes and results: analyses showed a positive association between neuroticism and spastic tension (rho = 0.39; p < 0.001). Conclusions and implications: the study showed that a high level of neuroticism correlates with a higher level of spasticity, but no such correlation was observed for pain. Additionally, the study did not show a significant correlation between neuroticism and rehabilitation outcome depending on the rehabilitation modality (RAGT vs. DPT). The results underline the importance of carrying out a psychological diagnosis of patients to provide therapeutic support in the rehabilitation process. Full article

The city, like a piece of architecture, is a structure in space, but one of gigantic scale, something perceived only over a long period. A space is termed a place when it acquires an identity. The entirety of urban personality, urban communication, urban conduct, and urban design constitute the urban identity. This research delves into divided urban identities and examines how urban and architectural design influence the fragmentation of the cityscape. It explores the connection between urban environments’ physical attributes and the divide of social, cultural, and political identities within cities. This study uses a multidisciplinary method to acquire thorough knowledge by combining architectural studies, urban planning theories, and social-cultural perspectives. The case study of reference is the city of Matera, in southern Italy, which has a unique history of a slow shaping of its urban and productive landscape throughout centuries due to heavy environmental constraints and resource availability and which has suffered forced evacuation and major discontinuities in the past century. Here, the opposing traits of the historical Sassi district and the new town are examined, focusing on their resulting separated urban identities. The study also looks at how divided cities may be reconciled and integrated, emphasizing the relevance of a holistic urban approach for the framing of complex issues. The research proposes methods and best practices for developing inclusive urban settings that promote cohesion and shared identities through the analysis of successful cases of urban regeneration, adaptive reuse of spaces, and participatory design processes. The findings of this research contribute to both academic and practical knowledge by deepening the understanding of the relationship between urban design, architecture, and divided urban identities. It emphasizes the value of comprehensive approaches to urban planning that take into account the social, cultural, and historical settings of cities to foster inclusivity, rapprochement, and the development of common urban identities. Full article

Introduction: Impulsivity is one of the overlapping symptoms common to borderline personality disorder (BPD) and attention deficit hyperactivity disorder (ADHD), but the neurobiological basis of these disorders remains uncertain. This systematic review aims to identify abnormalities in the gray and white matter associated with impulsivity in BPD and ADHD. Methods: We conducted a systematic search of the PubMed, Embase, and SCOPUS databases, adhering to PRISMA guidelines. Studies that investigated gray and white matter alterations in BPD or ADHD populations and their relationship with impulsivity were included. We reviewed information from 23 studies involving 992 participants, which included findings from structural MRI and DTI. Results: The review identified various nonhomogeneous changes associated with impulsivity in BPD and ADHD. BPD was mainly associated with abnormalities in the prefrontal cortex (PFC) and limbic areas, which correlated negatively with impulsivity. In contrast, impulsivity associated with ADHD was associated with structural changes in the caudate nucleus and frontal–striatal pathways. Despite the overlapping symptoms of impulsivity, the neurobiological mechanisms appeared to differ between the two disorders. Conclusions: These findings emphasize the distinct neurostructural correlates of impulsivity in BPD and ADHD. While both disorders show impulsivity as one of their main symptoms, the fundamental brain structures associated with this trait are different. BPD is primarily associated with abnormalities in the prefrontal cortex and limbic system, whereas the alterations seen in ADHD tend to focus on the caudate nucleus and frontostriatal pathways. Further research is needed to clarify these differences and their implications for treatment. Full article

(1) Background: Since the COVID-19 pandemic was a source of stress for families, this study aimed to investigate the influence of dispositional factors, such as personality traits and sociodemographic variables, on parental burnout among Italian parents during two waves of the COVID-19 pandemic. Therefore, the study assessed personality traits and sociodemographic variables as protective or risk factors for parental burnout levels. (2) Methods: The study consisted of two cross-sectional samples collected during the second and fourth waves of the Italian pandemic. The participants included 600 Italian parents: 245 from the second wave (average age = 37.12, SD = 2.78) and 355 from the fourth wave (average age = 36.89, SD = 3.14). The measures used were the Balance between Risks and Resources, the Personality Inventory, and a sociodemographic questionnaire. (3) Results: The t-test showed that parents in the fourth wave had lower parental burnout levels. Moreover, stepwise multiple linear regression revealed that sociodemographic variables did not have an effect, while significant effects of personality traits were found. Specifically, neuroticism was identified as a risk factor for parental burnout, while agreeableness and openness were identified as protective factors. (4) Conclusions: The findings indicated that similar stress levels were reported between the two waves of parents and that personality traits play a crucial role in facilitating or limiting the management of parental competencies during a risk condition. Full article

Biometrics play an important role in modern access control and security systems. The need of novel biometrics to complement traditional biometrics has been at the forefront of research. The Facial Blood Flow (FBF) biometric trait, recently proposed by our team, is a spatio-temporal representation of facial blood flow, constructed using motion magnification from facial areas where skin is visible. Due to its design and construction, the FBF does not need information from the eyes, nose, or mouth, and, therefore, it yields a versatile biometric of great potential. In this work, we evaluate the effectiveness of novel temporal partitioning and Fast Fourier Transform-based features that capture the temporal evolution of facial blood flow. These new features, along with a “time-distributed” Convolutional Neural Network-based deep learning architecture, are experimentally shown to increase the performance of FBF-based person identification compared to our previous efforts. This study provides further evidence of FBF’s potential for use in biometric identification. Full article

Background/Objectives: Numerous risk factors of cardiac diseases are influenced by health behaviours. An individual’s health behaviours, somatic symptoms and even cardiac outcomes can be influenced by their personality. The aim of this study was to analyse the influence of personality traits on the knowledge and health behaviour of cardiac patients. Methods: The study was conducted at the Independent Public Voivodship Hospital in Szczecin on 180 patients in the invasive cardiology wards and the intensive cardiac care unit between July and September 2019. A self-developed questionnaire and the NEO-Five-Factor Inventory-3 (NEO-FFI) and Health Behaviour Inventory (HBI) standardised tools were used. Results: Respondents mostly linked the occurrence of cardiovascular disease with smoking (87.22%) and hypertension (85.56%). A large majority of the respondents (68.44%) knew the correct recommended values for blood pressure. This was also the case for total cholesterol—only 20.56% of the patients did not know the correct levels. Respondents experienced more difficulty in adhering to preventive measures—only 27.22% followed a low-fat diet and only half controlled their weight. The overall HBI scale score was 5.93 sten, which indicates an average score. The most intense personality trait among the respondents was extraversion (5.79), while the least intense was agreeableness (4.12). Neuroticism was found to be negatively correlated (p < 0.05) with healthy eating habits and a positive mental attitude. Extroverts, on the other hand, are more likely to take preventive action. Older and non-working individuals are more likely to exhibit health-promoting behaviours in all HBI categories (p < 0.05). Conclusions: The personality traits that have the greatest impact on health behaviour are extraversion, agreeableness and conscientiousness. Health practises also depend on gender, age and work activity. Further research on more diverse groups is needed. Full article

Despite advances in understanding the factors that predict unethical behaviors such as counterproductive workplace behavior (CWB), there is still substantial variance left unexplained in the occurrence of unethical behavior. Recent research has examined how unethical behavior may change beyond initially reported levels due to the gradual erosion of ethicality via justification processes such as moral disengagement. The present study extends this research by examining the role of personality in determining the extent to which individuals make subsequent unethical decisions at greater or lower levels beyond their initial levels. Studies 1 and 2 used an experimental design that presents half of participants with an opportunity to practice moral disengagement by allowing participants to justify their actions. Results in study 1 demonstrate that individuals with high levels of dark personality traits tend to increase their level of unethical decision making when given the chance to justify their actions, whereas those with low levels of dark personality become less unethical. Study 2 examines the extent to which the mediating role of perceived justice changes when participants are given an opportunity to justify their actions. Results from study 2 show the effects of justice as a mediating mechanism are significantly diminished when the justification manipulation is present. Implications emphasize the need to use both selection and development interventions in organizations to reduce gradual decreases in ethicality as well as reduced reliance on cross-sectional research to study a phenomenon that can change as unethical behavior is justified. Full article

Chronic pain (CP) affects about 30% of the global population and poses significant challenges to individuals and healthcare systems worldwide. The interactions between physiological, psychological, and social factors are crucial in the onset and development of CP conditions. This study aimed to evaluate the effectiveness of mindfulness-based intervention, examining its impact on perceived stress (PSS), depression and anxiety (BDI-II, PGWBI/DEP, SAS, STAI Y), sleep quality (PSQI), and mindfulness abilities (MAAS) in individuals with CP. Participants (N = 89, 84.3% female) underwent one of two diagnoses [fibromyalgia (FM) or low back pain (LBP)] and took part in an MBSR intervention. The mindfulness program proved effective in reducing PSQI scores (F = 11.97; p < 0.01) over time, independently of the type of diagnosis. There was also a marginal increase in trait mindfulness as measured by MAAS (F = 3.25; p = 0.07) in both groups. A significant difference between the two groups was found for the effect on PSS: F (1,87) = 6.46; p < 0.05. Mindfulness practice also reduced anxiety in FM and depressive symptoms in LBP, indicating a reduction in psychological distress among participants. Our findings suggest that mindfulness-based interventions may offer promising avenues for personalized pain management in clinical settings. Full article

In China, preschool teachers significantly influence the development of young children aged 3–6 years. Understanding their mental health and its associated factors is imperative to informing policies, optimizing their mental well-being, and supporting their job performance. This study aimed to investigate the factors contributing to anxiety symptoms among preschool teachers. A sample of 393 Chinese preschool teachers (279 women, 114 men), aged 21–56, completed online questionnaires collecting their sociodemographic and work-related information and assessing anxiety symptoms, interpersonal difficulties, personality traits, perceived stress, resilience, and inner strength. Pearson correlation and multiple linear regression analyses identified significant predictors of anxiety symptoms. The prevalence of anxiety symptoms among the studied cohort was found to be 12.2%. Statistically significant factors that positively correlated with anxiety symptoms included objective work-related stress (B = 0.149, p < 0.001), interpersonal difficulties (B = 0.921, p < 0.001), perceived stress (B = 0.108, p = 0.001), and neuroticism (B = 0.071, p = 0.002). These findings highlight the urgent need for measures to reduce work-related stress and anxiety. However, when negative mental health factors were included, the effect of positive psychological factors became nullified. Positive mental health might have a moderating role in a negative mental health outcome such as anxiety. Therefore, further research is required to understand the impact of positive mental health factors more clearly. Full article

This article will discuss the software development process utilised in the GNSS-denied navigation project targeted for drones. The process was implemented in an environment where software developers were oriented to developing a source code only and who showed great reluctance to follow any formal process. The mentioned process was a lightweight AGILE-based process that, by assumption, minimised developers’ engagement in activities other than those related to the source code development. The process described in this paper was designed to support and reflect product quality characteristics like functional completeness and correctness, time behaviour, resource utilisation, analysability, modifiability and testability in an “implicit” way. It allowed the developers to achieve those characteristics in an “invisible” manner. This allowed us to achieve acceptable product quality without needing to engage experienced architects. The described process needs improvements and extensions to satisfy certification needs. However, for the prototyping or research phases, it may be a perfect solution for facilitating future product modifications and saving costs. The process improves product quality by underlying the value of transparency, performing specific actions and incorporating specific attributes related to team tasks. This research also focused on finding a metric related to process acceptance in a given environment, resulting in a three-degree scale showing whether the process needed improvements or was accepted by the environment. Such a metric is a new finding and the metric implies that there are some factors that stand behind any process, which determine whether it will be friendly to the environment (people with their habits, work style, personal traits, etc.) or not. However, investigating factors that determine the process acceptance and that are connected to the environment traits were beyond the scope of this research and will be considered in the future. Full article

Background/Objectives: This retrospective study evaluated the effectiveness of a two-year online mindfulness program (five biweekly sessions) combined with a smartphone application for healthcare workers (HCWs) in Korean medicine (KM) institutions. Methods: Twenty-three participants, including KM University students, KM doctors, and nurses, completed a 9-week online mindfulness program in 2023 or 2024. The pre- and post-intervention surveys assessed subjective health status (SHS), knowledge of mind–body modalities (MBMs), hwa-byung (HB) symptoms, emotional labor (EL), burnout, and program satisfaction. Results: Participants showed significant improvements in SHS (p = 0.008) and MBM knowledge (p = 0.035). HB personality scores decreased significantly (p = 0.027), while the reduction in HB symptoms approached statistical significance (p = 0.052). The frequency of interactions among job-focused EL increased (p = 0.003). The subgroup analysis revealed significant reductions in HB personality traits (p = 0.017) and symptoms (p = 0.006) among practicing KM doctors and nurses. No significant changes were observed in burnout levels. Participants reported high satisfaction (median 8.00 [IQR 8.0–9.0]) and willingness to recommend the program (median 5.00 [IQR 4.0–5.0]). Conclusions: Analysis of the 2-year results suggests that the online mindfulness program effectively improved SHS, MBM knowledge, and HB-related symptoms among HCWs in KM institutions, particularly among practicing professionals. High satisfaction rates indicated the acceptability of the program. Future research should use larger sample sizes and randomized controlled designs to further validate these findings and explore long-term outcomes. This intervention shows promise as a tool to promote mental health in Korean healthcare settings. Full article

Background: Parkinson’s disease (PD) is a common neurodegenerative disorder characterized by motor impairments, cognitive decline, and affective changes. Beyond the well-described motor symptoms, neuropsychiatric symptoms play a crucial role in PD disability burden. Novelty seeking, a trait extensively studied within various models of personality, may influence the manifestation of these non-motor symptoms. Methods: A narrative review of articles determined relevant by the author(s) was undertaken. Results: The literature indicates that PD patients typically exhibit low novelty seeking initially. However, dopaminergic therapies can increase novelty-seeking behaviors, sometimes leading to impulse control disorders (ICD). Studies using the Temperament and Character Inventory (TCI) suggest a complex interplay between disease state, medication, and baseline personality, which is not fully elucidated. High novelty seeking scores predict a higher risk of ICDs, yet they also correlate with a more benign clinical phenotype and improved quality of life post-DBS surgery. Conclusions: Novelty seeking is a significant trait in PD, influencing non-motor symptoms and treatment responses. Understanding its neurobiological basis and clinical implications could lead to better diagnostic and therapeutic strategies through the use of objective, practical tools for disease monitoring, individualized therapy, and pharmacological development. Full article

Intellect is an important personality trait, especially with regard to the prediction and explanation of intellectual performance, such as occupational or academic success. However, much less is known about the development of Intellect. I present results from a longitudinal study spanning eight years to investigate changes in Intellect during a critical period: the transition from school to vocation. The study is based on a large and heterogeneous sample with up to 1964 participants. Using a facet approach, I investigate predictors of longitudinal trajectories theoretically derived from construct definition, including subjective and objective attributes of education and profession; attitudes regarding the malleability of personality traits; as well as personality traits beyond Intellect, especially intelligence. Results reveal some support for the social investment principle according to neo-socioanalytic theory, as epistemic job demands and epistemic leisure activities predicted the increase in Intellect over time. The study contributes to our understanding of the development of personality traits related to intellectual achievement, including important internal and external predictors of longitudinal trajectories. Full article

Social Networking Sites Addiction (SNSA) has become increasingly prevalent among university students, posing significant challenges to their mental health and academic performance. The psychological mechanisms and personality traits contributing to this addiction are not yet fully understood. This study explored the mediating effect of attachment avoidance (AA) between relatedness frustration (RF) and SNSA, as well as the moderating roles of Conscientiousness and Neuroticism from the Big Five personality traits. Data were collected from 489 university students (M = 18.81, SD = 0.92) using the Relatedness Frustration Scale, Ten-Item Personality Inventory in Chinese, Experiences in Close Relationships Scale (ECR) Short Form, and Social Networking Sites Addiction Scale. The findings were as follows: (1) RF significantly predicted SNSA; (2) RF significantly predicted AA, which in turn significantly predicted SNSA, indicating a partial mediation; and (3) Conscientiousness and Neuroticism moderated the effect of RF on SNSA, with higher levels of these traits amplifying the positive effect of RF on SNSA. The study concluded that individuals facing RF may avoid real-life attachments and seek connections online, increasing the risk of SNSA, especially for those with high levels of Conscientiousness and Neuroticism. Full article

Background/Objectives: Inherited arrhythmogenic syndromes comprise a heterogenic group of genetic entities that lead to malignant arrhythmias and sudden cardiac death. Genetic testing has become crucial to understand the disease etiology and allow for the early identification of relatives at risk; however, it requires an accurate interpretation of the data to achieve a clinically actionable outcome. This is particularly challenging for the large number of rare variants obtained by current high-throughput techniques, which are mostly classified as of unknown significance. Methods: In this work, we present a new algorithm for the genetic interpretation of the remaining rare variants in order to shed light on their potential clinical implications and reduce the burden of unknown significance. Results: Our study illustrates the potential utility of our individualized comprehensive stepwise analyses focused on the rare variants associated with IAS, which are currently classified as ambiguous, to further determine their trends towards pathogenicity or benign traits. Conclusions: We advocate for personalized disease-focused population frequency data and family segregation analyses for all rare variants that remain ambiguous to further clarify their role. The current ambiguity should not influence medical decisions, but a potential deleterious role would suggest a closer clinical follow-up and frequent genetic data review for a more personalized clinical approach. Full article