bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does Executive Functioning Moderate the Association Between Psychopathic Traits and Antisocial Behavior in Youth?
Authors: Joseph Justin J. , Waschbusch Dan A. 
Published: January 2025

Abstract
This study examined the interplay of psychopathic traits, executive functioning, and antisocial behavior among adjudicated youth, with a focus on the potential moderating role of executive function. The current study uses data from the Pathways to Desistance dataset was examined, utilizing the Psychopathy Checklist: Youth Version (PCL-YV) and the Stroop Color-Word Task to measure psychopathic traits and executive functioning, respectively. Violent and property offending frequencies were self-reported. Both psychopathic traits and lower executive functioning were initially associated with higher frequencies of both violent and property offending. Crucially, a significant interaction emerged: Youth exhibiting higher socially deviant/lifestyle psychopathic traits and weaker executive function were most likely to engage in property offenses. These findings offer insights into specific risk profiles for offending behaviors and underscore the importance of interventions promoting executive function, especially for youth with these characteristics. This study highlights the complex ways in which individual differences contribute to antisocial outcomes.
Social Network Types in Autistic Adults and Its Associations with Mastery, Quality of Life, and Autism Characteristics
Authors: van den Heuvel Rinske M. , Teunisse Jan-Pieter , Radhoe Tulsi A. , van der Putten Wikke J. , Torenvliet Carolien , Wen Si , Wensing Michel , Geurts Hilde M. 
Published: January 2025

Abstract
Research shows heterogeneity in experiences of social contact and social networks in autistic adults. In this study, we aim to identify clusters of social support networks and investigate associations of clusters with mastery, quality of life, and autism characteristics. Autistic adults (N = 381; 45.7% female) aged between 30 and 90 years completed questionnaires on social support characteristics, mastery, autism characteristics, and quality of life. A two-step cluster analysis was used to identify clusters based on social support network items. The cluster analysis revealed three clusters: Cluster 1 (n = 238) with two or more close persons, sometimes including a romantic partner; Cluster 2 (n = 102) with solely a romantic partner as close person; and Cluster 3 (n = 41) without any close persons. Level of emotional support was the most important clustering indicator. People in Cluster 3 reported lower quality of life regarding social relationships and mastery, autism characteristics, and other quality of life scales were similar across clusters. Absence or presence of close persons significantly impacts quality of life regarding social relationships in autistic adults, which highlights the importance of addressing (satisfaction with) social support. In order to enhance quality of life, offering social network interventions to increase social support seems especially relevant for autistic people belonging to Cluster 3.
Hidden champions and knowledge spillovers: innovation-enhancing agglomeration effects and niche technology specificity
Authors: Lehmann Erik E. , Schenkenhofer Julian , Vismara Silvio 
Published: January 2025

Abstract
To achieve market and technology leadership, innovation is essential for niche market leaders. While research suggests that regions benefit economically from a high concentration of niche market leaders, it is still unclear which role locating close to one another plays for their innovation performance. Therefore, we contribute to existing literature that studies external factors of firm-level innovation. We analyze 1372 German niche market leaders and study whether (1) being located in a cluster improves their innovation performance and (2) if the impact of locating in a cluster varies depending on the diversity of industries within the cluster. We measured the spatial agglomeration using the location quotient. Our findings show that being located in a cluster increases the patenting rate by 1.49 times. This effect is more pronounced in clusters with more diverse industries, indicating a lower level of technology specificity. This suggests that technology specificity has an impact on a company’s ability to take advantage of positive knowledge from other companies in the same cluster. Finally, we conducted several tests to ensure the robustness of our analysis. The Modifiable Areal Unit Problem (MAUP) refers to the discretionary choice of the spatial unit, and we tested different spatial unit levels to account for this. Additionally, we used entropy balancing to confirm the positive effect of cluster location on innovation, comparing with a control set of mass-market firms. Our study concludes with implications for both corporate management and public policy.
Does Religion Buffer the Negative Effects of Economic and Subjective Poverty on Life Satisfaction? Longitudinal Evidence from Hong Kong
Authors: Shi Songyun , Peng Chenhong , Zhang Qian , Wen Ming , Chen Yu-Chih , Yip Paul S. F. 
Published: January 2025

Abstract
Researchers have long been interested in the impact of poverty on life satisfaction, as well as in the buffering role of religion within this association. However, longitudinal evidence is limited, leaving uncertainties about how religion buffers this association, especially concerning the subjective aspect of poverty and in non-Christian-dominant societies. This study used two-wave panel data from Hong Kong (N = 1,006), where more than half of the population identifies as having no religion and all major world faiths coexist peacefully. We employed the cross-lagged panel model (CLPM) to examine the longitudinal associations between economic poverty, subjective poverty, and life satisfaction while exploring the buffering effect of religion. The results of CLPM showed that subjective poverty had a long-term negative impact on life satisfaction, highlighting the pivotal role of social comparison in influencing individuals’ life satisfaction. Furthermore, religion was found to buffer the temporal association between subjective poverty and life satisfaction; this buffering effect persists within religious groups, regardless of religious attendance. This paper highlights the significance of subjective poverty in influencing life satisfaction and contributes to our understanding of whether and how religion matters to people’s life satisfaction among those experiencing poverty.
Investigating the effect of marigold flower extract on bioactive compounds, antioxidants and postharvest quality and shelf life of peach during storage
Authors: Hanif Muhammad , Azam Muhammad , Khan Muhammad Arslan , Zahid Tayebulah , Ali Basharat , Akram Muhammad Tahir , Naveed Khalid , Ilahy Riadh , Hussain Imtiaz , Liu Hongru , Khan Zia Ullah , Hashem Abeer , Al-Mohaimeed Amal M. , Almutairi Khalid F. , Abd-Allah Elsayed Fathi 
Published: January 2025

Abstract
Peaches are a climacteric and highly perishable fruit with a short shelf life under ambient storage conditions which hampers further marketing and leads often to economic losses. Consequently, searching for pre-storage treatments to maintain shelf life and preserve the quality of peach fruit is an important task. Therefore, the present study was designed to investigate the efficiency of marigold flower extract (MFE) application on the shelf life and some quality attributes of peach fruit under ambient storage conditions. Peach fruit of cv. Early grand was treated with different concentrations of MFE (control, 10%, 20%, and 30%) and stored at 25 ± 2 °C for 8 days. The results revealed that at the end of the storage period, MFE (30%) suppressed the decrease of weight loss (21.51%), decay incidence (10.74%), solid-acid ratio (20.91%), pH (4.57), MDA (2.23 nmol/g FW) and H2O2 (3.01 nmol/g FW) compared to the control. Moreover, MFE (30%) increased the fruit firmness (93.93 N), soluble solid content (11.97 Brix), titratable acidity (0.57%), total sugar (10.01%), reducing sugars (5.15%), ascorbic acid (29.53 mg/100 mL), the total phenolic content (130.26 mg GAE/100 g FW) as well as the superoxide dismutase (309.79 U/mg), peroxidase (42.65 U/mg) and catalase (56.30 U/mg) enzyme activity compared to the untreated peach fruits. The results of our study suggested that the application of MFE particularly at 30% might be employed commercially as an environment-friendly approach to delay postharvest senescence and maintain quality attributes of peach fruit under ambient conditions.
A rare complication of a thoracic wound: the pneumopericardium?
Authors: Poulain C. , Prigent T. , Guibourg B. , Le Flahec G. , Martin E. , Salem D. Ben 
Published: January 2025

Abstract
Pneumopericardium (PPC) is defined by the presence of gas in the pericardial cavity, often leading to cardiac tamponade and a high mortality rate. This report describes a case involving a 33-year-old man found deceased a few meters from a knife, his clothes intact, with no resuscitation attempt made. A knotted scarf was tightly fastened around his neck, without ligature mark. Post-mortem CT revealed 271 ml of gas in the pericardial cavity, with “flattened heart”. The forensic examination revealed two thoracic stab wounds, one penetrated the pericardium without penetrating the heart chamber, while the second remained superficial. In the absence of resuscitation or exsanguination, and in the presence of some non-specific signs observed in the context of asphyxia, the hypothesis of death by compressive PPC was supported. This first French case report of PPC highlights the rarity of this entity in forensic settings, and comparison with other cases described in the literature which did not present the same characteristics points out the diagnostic difficulties it presents and the importance of post-mortem CT in diagnosis.
Beyond symptoms: the usefulness of early recollections in Adlerian treatment of panic attacks- a case study
Authors: Ibrahim-Dwairy Camelia , Shifron Rachel 
Published: January 2025

Abstract
This study explores the usefulness of Adlerian psychotherapy, specifically the use of early recollections (ERs), in treating panic attacks. The research is based on a case study involving 50 sessions with a patient presenting panic disorder. The paper is structured in three parts: (1) a literature review examining panic attacks, the Adlerian approach to psychological symptoms, and the use of ERs; (2) a case formulation including patient information and symptomatology, followed by an analysis of the therapeutic process centered on 12 ERs that emerged during therapy; and (3) a critical discussion of the Adlerian interpretation of symptoms and principal treatment outcomes. This case study contributes to the understanding of treatment for panic attacks, offering insights into the potential effectiveness of Adlerian psychotherapy and the role of ERs in addressing panic symptoms. The findings suggest that Adlerian therapy, particularly the use of ERs, may be a valuable approach in treating panic attacks.
Italian validation and network analysis of SHAME (SHAME-I) and its associations with perceived dysfunctional parenting
Authors: Veneziani Giorgio , Reho Matteo , Luciani Federica , Anaclerico Lucia , Pileri Jessica , Campedelli Virginia , Nardella Claudia , Lai Carlo 
Published: January 2025

Abstract
Shame is a self-conscious emotion influenced by the quality of the parent-child relationship. Although much research has assessed shame as a one-dimensional construct, shame is characterized by multiple dimensions. Considering the need to measure different aspects of shame, the present study aimed to confirm the three-factor structure of SHAME questionnaire and to analyze the network structure in Italian population. The second aim was to assess associations between shame dimensions and perceived dysfunctional parenting styles. Four-hundred-sixty-four participants responded to an online survey that contained the Italian version of the SHAME (SHAME-I), the Other as Shame Scale, to assess the convergent validity of the SHAME-I with an Italian-validated measure, and the Measure Of Parental Style to assess dysfunctional parenting. Confirmatory factor analysis showed a good fit of the three-factor model, and items were arranged in the network consistently with the dimensions to which they belonged. Correlations showed good convergent validity for the SHAME-I. In addition, SHAME-I dimensions showed positive associations with perceived dysfunctional parenting. The SHAME-I seems to be a valid instrument that considers shame in its multidimensionality. Items with erotic, social exclusion, and disvalue cues had higher importance in the network. Lastly, specific SHAME-I dimensions were differently associated with dysfunctional parenting.
On Multi Order Nonlinear Langevin Type of $$\mathbb {FDE}$$ Subject to Multi-Point Boundary Conditions
Authors: Berhail Amel , Alzabut Jehad , Samei Mohammad Esmael 
Published: January 2025

Abstract
This research paper is about studying complicated equations called multi-order nonlinear fractional Langevin differential equations. These equations are analyzed when they have specific conditions at multiple points. The paper uses two mathematical tools, the Banach contraction principle and Schaefer’s fixed point theorem, to show that there is only one solution for the given equation. Moreover, we thoroughly study and analyze the stability of the solutions. To help understand the ideas we talked about, we will give related examples.
Emergence of flocking behaviors transferring previously evolved alignment robot controllers
Authors: Sendra-Arranz Rafael , Gutiérrez Álvaro 
Published: January 2025

Abstract
Flocking is a crucial collective behavior in swarm robotics. Reynolds introduced the boids model as a means to imitate flocking behaviors in artificial agents. This model relies on three fundamental local rules: separation, cohesion, and alignment. This paper examines the development of flocking behaviors only through the evolution of the alignment rule. Initially, we employ a genetic algorithm to develop the alignment behavior inside a group of stationary robots. The advanced alignment robot controller is a continuous-time recurrent neural network (CTRNN). Afterwards, we include the developed controller into a three-layered subsumption architecture in order to accomplish flocking behavior. Aside from the advanced alignment behavior, the architecture also incorporates a rudimentary manually designed obstacle avoidance behavior and a subroutine for moving forward. The initial experiment centers on the progression of alignment among the robots. Advanced communication techniques result in a scalable and precise alignment, where both the message content and its related context are very pertinent. The second experiment investigates the development of flocking behavior. The results indicate that the suggested subsumption architecture is capable of achieving efficient flocking behaviors. In addition, the robot swarm has the ability to navigate around barriers and continue to exhibit flocking behavior once the impediments have been bypassed. Our research indicates that the formation of a cohesive group can occur by implementing a single developed rule, complemented with well designed actions for avoiding obstacles and navigating the environment.
A Methodology Simplifying River Habitat Quality Assessment through Regression Analysis: Application in Slovakia
Authors: Čistý Milan , Doláková Gréta , Štefunková Zuzana 
Published: January 2025

Abstract
In the past, river restoration mainly focused on flood protection and somewhat ignored the degradation of river ecosystems, e.g., the habitats of river organisms. In recent decades, however, there has been an increased effort to carefully assess the quality of aquatic habitats as well. The authors have collected data from mountain and sub-mountain streams, including the habitat preferences of fish, topographic surveys, hydrometric measurements, and hydraulic modelling. These data were used to model the quality of stream habitats using the System of Environmental Flow Analysis (SEFA). SEFA, however, may be perceived as impractical for routine usage since the data it requires are extensive and time-consuming to obtain. For simplification, a regression analysis was conducted using only part of SEFA’s input data to balance reliability and data requirements of the computations. The general contribution of the paper is a demonstration of working with small datasets, addressing the challenges of analyzing the quality of river habitat through techniques such as boosting and regularization in regression analyses. The study confirmed a satisfactory agreement between the SEFA model’s results and the proposed regression methods, especially when using the boosting machine learning algorithm for the regression analysis (with a correlation of 0.9). The regression method significantly reduced the input data necessary to evaluate the quality of a habitat compared to the SEFA model. This permits an assessment of the ecological state of streams not only in a scientific context, but also in standard engineering practice.
Molecular Mechanism Behind the Capture of Fluorinated Gases by Metal–Organic Frameworks
Authors: Wang Qian , Hu Yong , Gu Yifan 
Published: January 2025

Abstract
Fluorinated gases (F-gases) play a vital role in the chemical industry and in the fields of air conditioning, refrigeration, health care, and organic synthesis. However, the direct emission of waste gases containing F-gases into the atmosphere contributes to greenhouse effects and generates toxic substances. Developing porous materials for the energy-efficient capture, separation, and recovery of F-gases is highly desired. Recently, as a highly designable porous adsorbents, metal–organic frameworks (MOFs) exhibit excellent selective sorption performance toward F-gases, especially for the recognition and separation of different F-gases with highly similar properties, showing their great potential in F-gases control and recovery. In this review, we discuss the capture and separation of F-gases and their azeotropic, near-azeotropic, and isomeric mixtures in various application scenarios by MOFs, specifically classify and analyze molecular interaction between F-gases and MOFs, and interpret the mechanisms underlying their high performance regarding both adsorption capacity and selectivity, providing a repertoire for future materials design. Challenges faced in the transformation research roadmap of MOFs adsorbent separation technologies toward F-gases are also discussed, and areas for future research endeavors are highlighted.
Tailoring Wear Properties of Nodular Cast Iron through Induction Hardening Optimization
Authors: Karamanli Ismail Aykut , Unal Okan 
Published: January 2025

Abstract
The current study investigated the wear performances of GGG60 nodular cast iron under different loads after induction hardening at different powers and durations. The background of this study is the optimization of induction hardening parameters applied to increase the wear resistance of GGG60 nodular cast iron, which is the raw material of parts subjected to high wear loads such as crankshafts, gear systems and flywheels. With the obtained wear results, the induction parameters were optimized by RSM. Induction hardening was treated at four induction powers and two induction durations. Wear tests were conducted using the ball-on-disc method under dry wear conditions for 60 min. Three different wear loads of 10, 20, and 30 N were used. The samples were analyzed in terms of microstructure, hardness, and wear characterization. Subsequently, a RSM model was constructed using the wear results Untreated specimens have significantly lower performance characteristics than treated ones. The hardness, penetration depth, and wear performance indicated a strong relationship with the increase in both induction power and duration. The optimization model presented that the most critical parameter of volume loss is the wear load. In addition, induction power and wear load were found to be significant in the wear rate. The model's prediction capacity for volume loss is satisfactory. Nevertheless, the model's prediction capacity for the wear rate experienced a slight decrease. Conclusions indicate the model can estimate the induction hardening parameters.
Flow distribution of supercritical hydrocarbon fuel in parallel regenerative cooling channels under non-uniform heat flux
Authors: Zhu Renshuo , Pei Xinyan , Zou Sihan , Hou Lingyun 
Published: January 2025

Abstract
Regenerative cooling technology is an important approach for thermal protection in scramjet engines. Non-uniform axial and circumferential heat flow distribution on the combustor leads to improper flow distribution, resulting in reduced cooling efficiency and localized overheating, potentially causing thermal protection failure. To effectively utilize the fuel heat sink and enhance cooling efficiency, it is necessary to investigate the mechanism of flow distribution in the channels under different heat flow conditions. This study investigates the flow and heat transfer characteristics in single cooling and parallel channels under various heat flux. The heat transfer characteristics, flow resistance changes, and the influence of heat flux on heat transfer deterioration are analyzed. There are two types of heat transfer deterioration in channels, caused by the inlet effect and the mutation of fuel supercritical properties. Furthermore, the mechanism behind flow deviation induced by non-uniform heat flux in parallel channels is investigated. When a supercritical process occurs, non-uniform heat flux induces temperature deviations, resulting in density distribution variations. This, in turn, influences velocity distribution and leads to disparities in flow resistance distribution. Consequently, flow deviation occurs, and the cracking reaction amplifies flow deviation while reducing temperature deviation.
The Importance of Laboratory Parameters in the Differential Diagnosis of Graves' Disease and Subacute Thyroiditis
Authors: Çağlayan Kenan , Karataş Savaş , Özsarı Levent , Kıran Özge , Oğuz İsra , Gökçel Adnan 
Published: January 2025

Abstract

Introduction
Graves' disease and subacute thyroiditis (SAT) are two of the most common causes of thyrotoxicosis. free T3 to free T4 ratio (fT3/fT4), neutrophil to lymphocyte ratio (NLR) and mean platelet volume (MPV) have not been analysed in detail for diagnosis in previous studies.

Materials and Methods
A total of 141 patients with subacute thyroiditis, 133 with Graves' disease and 126 healthy volunteers were included in the study. Thyroid stimulating hormone (TSH), fT3, fT4, C-reactive protein (CRP), MPV, NLR, erythrocyte sedimentation rate (ESR) and TSH receptor antibody (TRAb) levels were recorded. The laboratory parameters were compared between the two groups. ROC analysis was performed to evaluate fT3/fT4 ratio, ft4/TSH ratio, NLR and MPV to aid diagnosis, as well as cut-off values, sensitivity and specificity.

Results
The fT3/fT4 ratio was significantly different between the subacute thyroiditis (SAT) and Graves' disease groups (2.45 ± 0.68 vs. 3.48 ± 1.8, p < 0.01). The MPV was lowest in the SAT group (8.83 ± 1.29). The NLR ratio was highest in the SAT group (2.84 ± 1.48 p < 0.01). The fT4/TSH ratio was highest in the Graves group (461.85 ± 536.2 p < 0.01).The AUC of ft3/ft4 ratio for estimating Graves' disease was 0.773, the specificity was 77.9%, the sensitivity was 66.2% (p < 0.01), and the cut-off value was 2.95. The AUC of the NLR ratio for the assessment of SAT was 0.742, the specificity was 80% and the sensitivity was 50% (p = 0.02).

Conclusions
The ratio of fT3 to fT4, fT4/TSH ratio, MPV and NLR differ significantly between SAT and Graves’ disease and can provide helpful information in the differential diagnosis.