The good, the bad, and the ugly: a comprehensive study of temperament and personality traits as correlates of self-reported disruptive behavior problems in male and female adolescents.

Purpose: The aim of the present study was to provide a comprehensive picture of temperament and personality traits as correlates of self-reported disruptive behavior problems in male and female adolescents.

Methods: Two-hundred-and-sixty-three non-clinical adolescents aged 12-18 years completed a survey containing standardized scales to measure the HEXACO personality traits, impulsivity, effortful control, Dark Triad traits, and symptoms of oppositional-defiant disorder (ODD) and conduct disorder (CD).

Results: The results showed that good traits (in particular, honesty-humility, agreeableness, and the regulative trait of effortful control) were negatively associated, while bad and ugly traits (especially impulsivity and the Dark Triad traits of psychopathy and Machiavellianism) were positively associated with symptoms of ODD and CD.

Vector AutoRegressive Moving Average Models: A Review.

Vector AutoRegressive Moving Average (VARMA) models form a powerful and general model class for analyzing dynamics among multiple time series. While VARMA models encompass the Vector AutoRegressive (VAR) models, their popularity in empirical applications is dominated by the latter. Can this phenomenon be explained fully by the simplicity of VAR models? Perhaps many users of VAR models have not fully appreciated what VARMA models can provide.

Non-Stationarity in Time-Series Analysis: Modeling Stochastic and Deterministic Trends.

Time series analysis is increasingly popular across scientific domains. A key concept in time series analysis is stationarity, the stability of statistical properties of a time series. Understanding stationarity is crucial to addressing frequent issues in time series analysis such as the consequences of failing to model non-stationarity, how to determine the mechanisms generating non-stationarity, and consequently how to model those mechanisms (i.

Multi-omics analysis in inclusion body myositis identifies mir-16 responsible for HLA overexpression.

Background: Inclusion Body Myositis is an acquired muscle disease. Its pathogenesis is unclear due to the co-existence of inflammation, muscle degeneration and mitochondrial dysfunction. We aimed to provide a more advanced understanding of the disease by combining multi-omics analysis with prior knowledge.

Image-based robotic (ROSA knee system) total knee arthroplasty with inverse kinematic alignment compared to conventional total knee arthroplasty : Study protocol and the inverse kinematic alignment in 8-steps using the ROSA Knee system for knee balancing technique explained.

Introduction: In 2020, 368 million people globally were affected by knee osteoarthritis, and prevalence is projected to increase with 74% by 2050. Relatively high rates of dissatisfactory results after total knee arthroplasty (TKA), as reported by approximately 20% of patients, may be caused by sub-optimal knee alignment and balancing. While mechanical alignment has traditionally been the goal, patient-specific alignment strategies are gaining interest.

Complexity and recurrence of body surface electrocardiograms correlate with estimated reentrant atrial activity using electrocardiographic imaging in atrial fibrillation patients.

Background: Complexity and signal recurrence metrics obtained from body surface potential mapping (BSPM) allow quantifying atrial fibrillation (AF) substrate complexity. This study aims to correlate electrocardiographic imaging (ECGI) detected reentrant patterns with BSPM-calculated signal complexity and recurrence metrics.

Methods: BSPM signals were recorded from 28 AF patients (17 male, 11 women, 62.

Beneficial vs harmful effects of pharmacological treatment of patent ductus arteriosus: A Bayesian meta-analysis.

Background: Randomized controlled trials (RCTs) have failed to demonstrate the beneficial effects of the pharmacological treatment of patent ductus arteriosus (PDA) in preterm infants. We conducted a Bayesian model averaged (BMA) meta-analysis of RCTs comparing the pharmacological treatment of PDA with placebo or expectant treatment.

Methods: We searched for RCTs including infants with gestational age (GA) ≤ 32 weeks and with a rate of open-label treatment of less than 25% in the control arm.

Middle-throughput LC-MS-based platelet proteomics with minute sample amounts using semi-automated positive pressure FASP in 384-well format (PF384).

Comprehensive characterization of platelets requires various functional assays and analysis techniques, including omics-disciplines, each requiring an individual aliquot of a given sample. Consequently, the sample material per assay is often highly limited rendering downscaling a prerequisite for effective sample exploitation. Here we present a transfer of our recently introduced 96-well-based proteomics workflow (PF96) into the 384-well format (PF384) allowing for a significant increase in sensitivity when processing minute platelet protein amounts.

Can fast wall shear stress computation predict adverse cardiac events in patients with intermediate non-flow limiting stenoses?

Background And Aims: Coronary angiography-derived wall shear stress (WSS) may enable identification of vulnerable plaques and patients. A new recently introduced software allows seamless three-dimensional quantitative coronary angiography (3D-QCA) reconstruction and WSS computation within a single user-friendly platform carrying promise for clinical applications. This study examines for the first time the efficacy of this software in detecting vulnerable lesions in patients with intermediate non-flow limiting stenoses.

Physiological fingerprinting of audiovisual warnings in assisted driving conditions: an investigation of fMRI and peripheral physiological indicators.

Physiological responses derived from audiovisual perception during assisted driving are associated with the regulation of the autonomic nervous system (ANS), especially in emergencies. However, the interaction of event-related brain activity and the ANS regulating peripheral physiological indicators (i.e.

Lack of intracranial atherosclerosis in various atherosclerotic mouse models.

Background: Although mice are used extensively to study atherosclerosis of different vascular beds, limited data is published on the occurrence of intracranial atherosclerosis. Since intracranial atherosclerosis is a common cause of stroke and is associated with dementia, a relevant animal model is needed to study these diseases.

Methods And Results: We examined the presence of intracranial atherosclerosis in different atherogenic mouse strains and studied differences in vessel wall characteristics in mouse and human tissue in search for possible explanations for the different atherosclerotic susceptibility between extracranial and intracranial vessels.

The Predictive Value of Criminogenic Needs on Institutional Misconduct in a Dutch Forensic Hospital.

According to the Risk-Need-Responsivity model, criminogenic needs are important in predicting violent behavior. Eight criminogenic needs are considered strong predictors: history of antisocial behavior, antisocial personality traits, criminal attitudes, criminal associates, substance abuse, family problems, poor work performance, and lack of involvement in prosocial leisure/recreation activities. The purpose of the current study was to examine whether seven criminogenic needs predict institutional misconduct in the first year of admission of Dutch patients who were admitted to a forensic hospital.

Ionic Strength-Induced Compartmentalization for Nanogel-in-Microgel Colloids.

Compartmentalization is crucial for control over complex biological cascade reactions. In microgels, the formation of discrete compartments allows for simultaneous uptake and orthogonal release of physicochemically distinct drugs, among others. However, many state-of-the-art approaches yielding compartmentalized microgels require the use of specific, though not always biocompatible, components and temperatures well above the physiological range, which may damage possible biological cargo.

Evaluating the effect of denoising submillimeter auditory fMRI data with NORDIC.

Functional magnetic resonance imaging (fMRI) has emerged as an essential tool for exploring human brain function. Submillimeter fMRI, in particular, has emerged as a tool to study mesoscopic computations. The inherently low signal-to-noise ratio (SNR) at submillimeter resolutions warrants the use of denoising approaches tailored at reducing thermal noise-the dominant contributing noise component in high-resolution fMRI.

Cannabis Use Cessation and the Risk of Psychotic Disorders: A Case-Control Analysis from the First Episode Case-Control EU-GEI WP2 Study: L'arrêt de l'utilisation du cannabis et le risque de troubles psychotiques: Une analyse cas-témoins tirée de l'étude cas-témoins EU-GEI WP2 centrée sur les premiers épisodes psychotiques.

Objectives: To establish whether the risk of psychotic disorders in cannabis users changes with time following cannabis cessation using data from the European Network of National Networks studying Gene-Environment Interactions in Schizophrenia (EU-GEI) case-control study.

Methods: The EU-GEI case-control study collected data from first episode psychosis patients and population controls across sites in Europe and Brazil between May 2010 and April 2015. Adjusted logistic regressions were applied to examine whether the odd of psychosis case status changed: (1) with time following cannabis cessation and (2) across different cannabis use groups.

Toward a phylogenomic classification of magnoliids.

Premise: Magnoliids are a strongly supported clade of angiosperms. Previous phylogenetic studies based primarily on analyses of a limited number of mostly plastid markers have led to the current classification of magnoliids into four orders and 18 families. However, uncertainty remains regarding the placement of several families.

Investigating socioeconomic disparities in prescribing new diabetes medications in individuals with type 2 diabetes and very high cardiovascular risk in the Netherlands.

Aims: This study aims to analyze prescription patterns of new diabetes medication and assess socioeconomic disparities in their initiation among individuals with T2DM with very high cardiovascular risk.

Methods: Individuals diagnosed with T2DM and very high cardiovascular risk were identified (N = 10,768) based on general practitioner's electronic health record data. SGLT-2is and GLP-1RAs prescription patterns were examined.

HiFi long-read genomes for difficult-to-detect, clinically relevant variants.

Clinical short-read exome and genome sequencing approaches have positively impacted diagnostic testing for rare diseases. Yet, technical limitations associated with short reads challenge their use for the detection of disease-associated variation in complex regions of the genome. Long-read sequencing (LRS) technologies may overcome these challenges, potentially qualifying as a first-tier test for all rare diseases.

Unveiling the interplay between soluble guanylate cyclase activation and redox signalling in stroke pathophysiology and treatment.

Soluble guanylate cyclase (sGC) stands as a pivotal regulatory element in intracellular signalling pathways, mediating the formation of cyclic guanosine monophosphate (cGMP) and impacting diverse physiological processes across tissues. Increased formation of reactive oxygen species (ROS) is widely recognized to modulate cGMP signalling. Indeed, oxidatively damaged, and therefore inactive sGC, contributes to poor vascular reactivity and more severe neurological damage upon stroke.

Non-visual colour: A qualitative study of how the totally blind and an achromatope navigate colour in the sighted world.

Colour plays an important role in the sighted world, not only by guiding and warning, but also by helping to make decisions, form opinions, and influence emotional landscape. While not everyone has direct access to this information, even people without colour vision (i.e.

Adverse health outcomes and health-related quality of life (HRQoL) among long-term adolescent and young adult (AYA) brain tumour survivors: results from the population-based SURVAYA study.

Purpose: Adolescent and young adult (AYA) malignant brain tumour (BT) survivors are at risk of adverse health outcomes, which may impact their health-related quality of life (HRQoL). This study aimed to investigate the (1) prevalence of physical and psychological adverse health outcomes, (2) the HRQoL, and (3) the association of adverse health outcomes and HRQoL among long-term AYA-BT survivors. Adverse health outcomes and HRQoL were compared to other AYA cancer (AYAC) survivors.

Tenascin-X deficiency causing classical-like Ehlers Danlos syndrome type 1 in humans is a significant risk factor for GI and tracheal ruptures.

Background: Classical-like Ehlers Danlos Syndrome type 1 (clEDS1) is a very rare form of Ehlers Danlos Syndrome (EDS) caused by tenascin-X (TNX) deficiency, with only 56 individuals reported. TNX is an extracellular matrix protein needed for collagen stability. Previous publications propose that individuals with clEDS1 might be at risk for gastrointestinal (GI) tract perforations and/or tracheal ruptures.