55 research outputs found

    Old age and fear of crime: cross-national evidence for a decreased impact of neighbourhood disadvantage in older age

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    Fear of crime among older people has been a frequent topic in ageing research, criminology and urban studies. The ‘environmental docility hypothesis’ assumes that older people are more vulnerable to adverse neighbourhood conditions than younger age groups. Yet, few studies have tested this influential hypothesis using samples of respondents covering the complete adult lifespan. Looking at fear of crime, we investigated the person–environment interaction of age and neighbourhood disadvantage, using two independent surveys comprising 12,620 respondents aged 25–90 years residing in 435 neighbourhoods in four cities in Germany and Australia. We used multi-level analysis and cross-level interactions to model age-differential effects of neighbourhood disadvantage on fear. Contrary to the hypothesis, we found a weakening of neighbourhood effects on fear with age. The strong effect of neighbourhood disadvantage on fear of crime dropped by around half from the youngest (25 years) to the oldest age (90 years) in both countries. Younger people were almost as fearful as older people in the most disadvantaged neighbourhoods, but older people were considerably more fearful than younger ages in better-off neighbourhoods. We found limited empirical support for the assumption that this diminished association between neighbourhood disadvantage and fear can be explained by the stronger neighbourhood attachment of older people. The limitations of the analysis and potential future directions of research are discussed

    Antibiofilm surfaces based on the immobilization of a novel recombinant antimicrobial multidomain protein using self-assembled monolayers

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    The constant increase of microorganisms resistant to antibiotics has been classified as a global health emergency, which is especially challenging when biofilms are formed. Herein, novel biofunctionalized gold surfaces with the antimicrobial multidomain recombinant protein JAMF1, both in the soluble form and nanostructured as nanoparticles, were developed. The interaction between His-tag termination of the protein and a nitriloacetic acid–Ni complex formed on mixed self-assembled monolayers (mixed SAMs) was exploited. The obtained antibiofilm surfaces based on the immobilization of the novel JAMF1 protein using self-assembled monolayers were characterized using a multi-technique approach including: cyclic voltammetry, X-ray photoelectron spectroscopy, atomic force microscopy and fluorescence, proving that the modification and immobilization of JAMF1 were successfully done. The antibiofilm activity against Escherichia coli and carbapenem-resistant Klebsiella pneumoniae showed that the immobilized antimicrobial proteins were able to reduce biofilm formation of both microorganisms. This strategy opens up new possibilities for controlled biomolecule immobilization for fundamental biological studies and biotechnological applications, at the interface of materials science and molecular biology.info:eu-repo/semantics/publishedVersio

    Psycho-social factors associated with mental resilience in the Corona lockdown

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    The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics

    Continuum-based models and concepts for the transport of nanoparticles in saturated porous media: A state-of-the-science review

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    Environmental applications of nanoparticles (NP) increasingly result in widespread NP distribution within porous media where they are subject to various concurrent transport mechanisms including irreversible deposition, attachment/detachment (equilibrium or kinetic), agglomeration, physical straining, site-blocking, ripening, and size exclusion. Fundamental research in NP transport is typically conducted at small scale, and theoretical mechanistic modeling of particle transport in porous media faces challenges when considering the simultaneous effects of transport mechanisms. Continuum modeling approaches, in contrast, are scalable across various scales ranging from column experiments to aquifer. They have also been able to successfully describe the simultaneous occurrence of various transport mechanisms of NP in porous media such as blocking/straining or agglomeration/deposition/detachment. However, the diversity of model equations developed by different authors and the lack of effective approaches for their validation present obstacles to the successful robust application of these models for describing or predicting NP transport phenomena. This review aims to describe consistently all the important NP transport mechanisms along with their representative mathematical continuum models as found in the current scientific literature. Detailed characterizations of each transport phenomenon in regards to their manifestation in the column experiment outcomes, i.e., breakthrough curve (BTC) and residual concentration profile (RCP), are presented to facilitate future interpretations of BTCs and RCPs. The review highlights two NP transport mechanisms, agglomeration and size exclusion, which are potentially of great importance in controlling the fate and transport of NP in the subsurface media yet have been widely neglected in many existing modeling studies. A critical limitation of the continuum modeling approach is the number of parameters used upon application to larger scales and when a series of transport mechanisms are involved. We investigate the use of simplifying assumptions, such as the equilibrium assumption, in modeling the attachment/detachment mechanisms within a continuum modelling framework. While acknowledging criticisms about the use of this assumption for NP deposition on a mechanistic (process) basis, we found that its use as a description of dynamic deposition behavior in a continuum model yields broadly similar results to those arising from a kinetic model. Furthermore, we show that in two dimensional (2-D) continuum models the modeling efficiency based on the Akaike information criterion (AIC) is enhanced for equilibrium vs kinetic with no significant reduction in model performance. This is because fewer parameters are needed for the equilibrium model compared to the kinetic model. Two major transport regimes are identified in the transport of NP within porous media. The first regime is characterized by higher particle-surface attachment affinity than particle-particle attachment affinity, and operative transport mechanisms of physicochemical filtration, blocking, and physical retention. The second regime is characterized by the domination of particle-particle attachment tendency over particle-surface affinity. In this regime although physicochemical filtration as well as straining may still be operative, ripening is predominant together with agglomeration and further subsequent retention. In both regimes careful assessment of NP fate and transport is necessary since certain combinations of concurrent transport phenomena leading to large migration distances are possible in either case

    Event-Driven Order Rescheduling Model for Just-In-Sequence Deliveries to a Mixed-Model Assembly Line

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    Part 2: Design, Manufacturing and Production ManagementInternational audienceToday’s buyer markets and lean supply chains require build-to-order assembly systems with just-in-sequence (JIS) deliveries. Simultaneously production systems have become prone to supply disturbances (i.e. events) that endanger the synchronized delivery of all JIS components to the assembly line. To uphold production sequence stability, rescheduling is frequently required. Current methods, however, make assumptions that are often insufficiently aligned with real-world problems and focus on production issues while neglecting the implications of today’s tight integration of supply chain with production processes. To this end, this contribution derives a general model of a mixed model assembly line. It then proposes and evaluates an event-driven rescheduling model for JIS deliveries. The results indicate that rework due to missing JIS components can be avoided without compromising performance

    Grasping the mechanisms of narratives' incoherence in schizophrenia: an analysis of the temporal structure of patients' life story

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    OBJECTIVE: Life narratives of patients with schizophrenia are characterized by impaired coherence so that the listener has often difficulties to grasp the life trajectory of the patients. In order to better understand what causes this reduced temporal coherence, we investigated the temporal structure of patients' life narratives through different temporal narrative elements (elaboration of beginnings and endings, local temporal indicators and temporal deviations from a linear order), across two complementary studies. METHODS: Life narratives were collected by means of two different methods; a free recall in study 1 and a more structured protocol, aiming at reducing the cognitive task demands in study 2. All narratives from the two studies were analyzed using the same validated method. RESULTS: Both studies showed that global temporal coherence is significantly reduced in patients with schizophrenia (ps.02). This is mainly due to their stronger tendency to temporally deviate from a linear temporal order without marking the deviation as such. We also observed significant correlations in the patient groups between global temporal coherence and executive dysfunction (p=.008) or their higher tendency to temporally deviate from a linear temporal order in their life narratives (p<.001). CONCLUSIONS: These results shed light on narrative correlates of temporal narrative incoherence in schizophrenia and highlight the central role of executive dysfunction in this incoherence
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