Modeling the target selection process of residential burglars in Flanders at the community, neighborhood and house-level

Burglars rely on a spatially structured, hierarchical, sequential selection process when selecting targets. They initially select a suitable area and then gradually narrow down their selection until they have identified the house they intend to burglarize. The ultimate outcome of this target selection process is a particular house. However, until now studies on burglary location choice modelled this process with larger spatial units of analysis such as residential neighborhoods, census blocks or small-scaled postal code areas as the outcome. This study investigates burglary target location choice in Flanders, Belgium. It introduces two advances over previous studies. First, it models burglars’ choice for a particular target at the actual outcome of their selection process: the house. Second, it simultaneously includes measures for municipality, neighborhood and house-level environmental factors in order to better understand the hierarchical interplay between environmental characteristics in burglars’ target selection process. This study uses burglary data recorded by the Belgian Federal Police between 2006 and 2012. A total of 721 cleared burglaries undertaken by 574 unique suspects were included. Using discrete spatial choice modeling, we estimate the effects of municipality, neighborhood and house-level environmental factors on residential burglary target selection in Flanders, Belgium

Putting mindfulness-based cognitive therapy to the test in routine clinical practice:A transdiagnostic panacea or a disorder specific intervention?

BACKGROUND: Over the past two decades there has been a growing number of randomized clinical trials supporting the efficacy of mindfulness-based cognitive therapy (MBCT) in the treatment of several psychiatric disorders. Since evidence for its effectiveness in routine clinical practice is lagging behind, we aimed to examine adherence, outcome and predictors of MBCT in a well-characterized, heterogeneous outpatient population in routine clinical practice. METHODS: Data were collected from a naturalistic uncontrolled cohort of 998 patients formally diagnosed with mainly depression, anxiety disorders, personality disorders, somatoform disorders and/or ADHD. Patients received protocolized MBCT and completed self-report questionnaires pre- and post-treatment on overall functioning (Outcome Questionnaire, primary outcome), depressive symptoms, worry, mindfulness skills and self-compassion. Pre-to post-treatment changes were analysed for the overall sample and each diagnostic category separately with paired sample t-tests, reliable change indices (only overall sample) and repeated measures ANOVA for groups with and without comorbidity. Multiple linear regression was carried out to assess possible predictors of adherence and change in overall functioning. RESULTS: Adherence was high (94%) but negatively affected by lower levels of education, more comorbidity and presence of ADHD. Outcome in terms of improvement in overall functioning was good in the overall sample (Cohen's d = 0.50, 30% showed reliable improvement vs. 3.5% reliable deterioration) and within each diagnostic category (Cohen's d range = 0.37-0.61). Worse overall functioning at baseline was the only predictor for a larger treatment effect. CONCLUSIONS: After MBCT, overall functioning improved in a large heterogeneous psychiatric outpatient population independent of diagnosis or comorbidity

Improved in vivo detection of cortical lesions in multiple sclerosis using double inversion recovery MR imaging at 3 Tesla

Objective: To investigate the impact of a higher magnetic field strength of 3 Tesla (T) on the detection rate of cortical lesions in multiple sclerosis (MS) patients, in particular using a dedicated double inversion recovery (DIR) pulse sequence. Methods: Thirty-four patients with clinically isolated syndromes or definite MS were included. All patients underwent magnetic resonance imaging (MRI) at 1.5 T and 3 T, including T2-weighted turbo spin echo (TSE), fluid-attenuated inversion recovery (FLAIR) and DIR sequences. All images were analysed for focal lesions categorised according to their anatomical location. Results: The total number of detected lesions was higher at 3 T across all pulse sequences. We observed significantly higher numbers of lesions involving the cortex at 3 T using a DIR sequence. DIR at 3 T showed 192% more pure intracortical (p<0.001) and 30% more mixed grey matter-white matter lesions (p=0.008). No significant increase in cortical lesions could be detected on the FLAIR and T2-weighted images. Using the T2-weighted and FLAIR sequences, significantly more lesions could be detected at 3 T in the infratentorial, periventricular and juxtacortical white matter. Conclusion: DIR brain MR imaging at 3 T substantially improves the sensitivity of the detection of cortical lesions compared with the standard magnetic field strength of 1.5 T. © European Society of Radiology 2009

Cellular distribution of vascular endothelial growth factor A (VEGFA) and B (VEGFB) and VEGF receptors 1 and 2 in focal cortical dysplasia type IIB

Members of the vascular endothelial growth factor (VEGF) family are key signaling proteins in the induction and regulation of angiogenesis, both during development and in pathological conditions. However, signaling mediated through VEGF family proteins and their receptors has recently been shown to have direct effects on neurons and glial cells. In the present study, we immunocytochemically investigated the expression and cellular distribution of VEGFA, VEGFB, and their associated receptors (VEGFR-1 and VEGFR-2) in focal cortical dysplasia (FCD) type IIB from patients with medically intractable epilepsy. Histologically normal temporal cortex and perilesional regions displayed neuronal immunoreactivity (IR) for VEGFA, VEGFB, and VEGF receptors (VEGFR-1 and VEGFR-2), mainly in pyramidal neurons. Weak IR was observed in blood vessels and there was no notable glial IR within the grey and white matter. In all FCD specimens, VEGFA, VEGFB, and both VEGF receptors were highly expressed in dysplastic neurons. IR in astroglial and balloon cells was observed for VEGFA and its receptors. VEGFR-1 displayed strong endothelial staining in FCD. Double-labeling also showed expression of VEGFA, VEGFB and VEGFR-1 in cells of the microglia/macrophage lineage. The neuronal expression of both VEGFA and VEGFB, together with their specific receptors in FCD, suggests autocrine/paracrine effects on dysplastic neurons. These autocrine/paracrine effects could play a role in the development of FCD, preventing the death of abnormal neuronal cells. In addition, the expression of VEGFA and its receptors in glial cells within the dysplastic cortex indicates that VEGF-mediated signaling could contribute to astroglial activation and associated inflammatory reactions

Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma

SummaryWe report a comprehensive molecular characterization of pheochromocytomas and paragangliomas (PCCs/PGLs), a rare tumor type. Multi-platform integration revealed that PCCs/PGLs are driven by diverse alterations affecting multiple genes and pathways. Pathogenic germline mutations occurred in eight PCC/PGL susceptibility genes. We identified CSDE1 as a somatically mutated driver gene, complementing four known drivers (HRAS, RET, EPAS1, and NF1). We also discovered fusion genes in PCCs/PGLs, involving MAML3, BRAF, NGFR, and NF1. Integrated analysis classified PCCs/PGLs into four molecularly defined groups: a kinase signaling subtype, a pseudohypoxia subtype, a Wnt-altered subtype, driven by MAML3 and CSDE1, and a cortical admixture subtype. Correlates of metastatic PCCs/PGLs included the MAML3 fusion gene. This integrated molecular characterization provides a comprehensive foundation for developing PCC/PGL precision medicine

A Roadmap for HEP Software and Computing R&D for the 2020s

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.Peer reviewe