Thrombosis with Behçet’s disease should be evaluated different conditions

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Neuroticism, trait fear of missing out, and phubbing: the mediating role of state fear of missing out and problematic Instagram use

One of the relatively new negative consequences of smartphone use is “phubbing” (snubbing someone while an individual checks their smartphone in the middle of a real-life conversation). The purpose of the present study was to investigate the direct and indirect associations of neuroticism, trait anxiety, and trait fear of missing out with phubbing via state fear of missing out and problematic Instagram use. A total of 423 adolescents and emerging adults aged between 14 and 21 years (53% female) participated in the study. Findings indicated that females had significantly higher scores of phubbing, fear of missing out, problematic Instagram use, trait anxiety, and neuroticism. Path analysis showed that trait fear of missing out and neuroticism were indirectly associated with phubbing via state fear of missing out and problematic Instagram use. State fear of missing out was directly and indirectly associated with phubbing via problematic Instagram use. The present study is the first to demonstrate empirical evidence for the relationship between different dimensions of fear of missing out, problematic Instagram use, and phubbing

Fluid flowlifting a body from a solid surface

If a body is at rest on horizontal ground and a sudden horizontal flow of fluid is applied, the body either remains on the ground (rocking, rolling, sliding or spinning) or is lifted off impulsively. This lift-off is followed by a return to the ground or by a fly-away in the sense of continued departure from the ground. Related phenomena arise in the lift-off of an air vehicle from, effectively, moving ground. The present investigation seeks fairly precise mechanistic conditions under which lift-off and subsequent return or fly-away occur for a thin body or more generally for any thin gap of fluid between a body and the ground. Nonlinear fluid–solid interaction takes place in which the motion of the body and the surrounding fluid affect each other. Small-time analysis on lift-off and a numerical study are presented, followed by large-time analysis showing a critical flow speed for fly-away for any shape of the body. The changes in ground effect, from being dominant during lift-off to diminishing in fly-away, are explored together with relevant applications

The Fate of Foodborne Pathogens in Manure Treated Soil

Publication history: Accepted - 22 November 2021; Published online - 10 December 2021.The aim of this review was to provide an update on the complex relationship between manure application, altered pathogen levels and antibiotic resistance. This is necessary to protect health and improve the sustainability of this major farming practice in agricultural systems based on high levels of manure production. It is important to consider soil health in relation to environment and land management practices in the context of the soil microflora and the introduction of pathogens on the health of the soil microbiome. Viable pathogens in manure spread on agricultural land may be distributed by leaching, surface run-off, water source contamination and contaminated crop removal. Thus it is important to understand how multiple pathogens can persist in manures and on soil at farm-scale and how crops produced under these conditions could be a potential transfer route for zoonotic pathogens. The management of pathogen load within livestock manure is a potential mechanism for the reduction and prevention of outbreaks infection with Escherichia coli, Listeria Salmonella, and Campylobacter. The ability of Campylobacter, E. coli, Listeria and Salmonella to combat environmental stress coupled with their survival on food crops and vegetables postharvest emphasizes the need for further study of these pathogens along with the emerging pathogen Providencia given its link to disease in the immunocompromised and its’ high levels of antibiotic resistance. The management of pathogen load within livestock manure has been widely recognized as a potential mechanism for the reduction and prevention of outbreaks infection but any studies undertaken should be considered as region specific due to the variable nature of the factors influencing pathogen content and survival in manures and soil. Mediocre soils that require nutrients could be one template for research on manure inputs and their influence on soil health and on pathogen survival on grassland and in food crops.This work was funded by the Department of Agriculture, Environment and Rural Affairs (DAERA); https://www.daera-ni.gov.uk) as part of the DAERA Postgraduate Studentship Programme and by the DAERA Evidence and Innovation project 18/1/21: Evaluating the impact of a range of organic manures applied to arable land on soil, crop and NI agriculture

Childhood emotional abuse and cyberbullying perpetration among adolescents: the mediating role of trait mindfulness

Preliminary studies have indicated that childhood emotional maltreatment (i.e., abuse and neglect) can be associated with higher cyberbullying perpetration (CBP) among university students. The purpose of the present study was to test the direct and indirect effects of childhood emotional abuse (CEA) on CBP via trait mindfulness and trait emotional intelligence (TEI). A total of 470 adolescent students participated in the study and completed a questionnaire comprising measures of the aforementioned variables. Path analysis showed that trait mindfulness, but not TEI, was a partial mediator between CEA and CBP among the total sample, males, and females. Results indicated that there were other factors that explain the relationship between CEA and CBP in addition to lower mindfulness. These findings suggest that developing mindfulness-based intervention programs for adolescents who have been emotionally abused as a child may reduce their engagement in cyberbullying. This study is the first to document the direct role of CEA on CBP and indirect via trait mindfulness among adolescents

The mediating role of depression in the relationship between body image dissatisfaction and cyberbullying perpetration

Preliminary evidence suggests that psychopathological factors (e.g., depression) are associated with higher engagement in cyberbullying perpetration, and those with elevated body image dissatisfaction (BID) are more susceptible to depression. However, the possible impact of body image dissatisfaction (BID) on cyberbullying remains untested. The present study examined the direct and indirect relationships of BID with cyberbullying via depression among a sample of 507 university students (mean age, 21.37 years; range 18–44 years). t tests showed that males had a higher prevalence of cyberbullying than females. Structural equation modeling indicated that BID was directly and indirectly associated with cyberbullying via depression among the total sample and males. However, BID was only indirectly related to cyberbullying via depression among females. Depression fully explained the relationship between BID and cyberbullying among females, although there were additional mediating factors between BID and cyberbullying among males. The findings are in accordance with theoretical models suggesting that individuals’ personal characteristics including psychopathological factors are associated with cyberbullying. Furthermore, males attempt to cope with their body image–related psychopathology with more externalizing behaviors than females

Design and operation of solar-hydrogen-storage integrated electric vehicle charging station in smart city

This paper proposes the novel design and operation of solar-hydrogen-storage (SHS) integrated electric vehicle (EV) charging station in future smart cities, with two key functionalities: 1. super-fast and off-grid charging; 2. multi-energy charging system using solar, hydrogen and energy storage. The integrated system design and modelling of SHS-EV charging station include hydrogen fuel cell generator to conduct off-grid and high-density power generation, a local solar power generation facility, a power-to-gas electrolysis for hydrogen production from power grid and solar power, and hydrogen and battery storage facilities to conduct local energy balancing. The operation model of SHS-EV charging station is established through a nonlinear optimization problem with complex objective function. Objective function of SHS-EV charging station is to minimize the operation costs including hydrogen fuel and electricity purchase costs. The system constraints are the technical limits of individual energy devices, as well as the system-level balancing of energy supply with the EV charging demand. The simulation results show that the proposed SHS-EV charging station can meet the EV charging demand by super-fast and off- grid charging from multi-energy sources. The SHS-EV charging station can also provide CO2 free power generation at point of charging. By using particle swarm optimization (PSO) to solve the SHS-EV charging system optimization model in MATLAB, the operation costs of SHS-EV charging station are greatly reduced.Department for Transport Transport-Technology Research Innovation Grant (T- TRIG 2020): ‘Solar-Hydrogen-Storage Integrated Electric Vehicle Charging Station in Future Cities’

An efficient GUI-based clustering software for simulation and Bayesian cluster analysis of single-molecule localization microscopy data

Ligand binding of membrane proteins triggers many important cellular signaling events by the lateral aggregation of ligand-bound and other membrane proteins in the plane of the plasma membrane. This local clustering can lead to the co-enrichment of molecules that create an intracellular signal or bring sufficient amounts of activity together to shift an existing equilibrium towards the execution of a signaling event. In this way, clustering can serve as a cellular switch. The underlying uneven distribution and local enrichment of the signaling cluster’s constituting membrane proteins can be used as a functional readout. This information is obtained by combining single-molecule fluorescence microscopy with cluster algorithms that can reliably and reproducibly distinguish clusters from fluctuations in the background noise to generate quantitative data on this complex process. Cluster analysis of single-molecule fluorescence microscopy data has emerged as a proliferative field, and several algorithms and software solutions have been put forward. However, in most cases, such cluster algorithms require multiple analysis parameters to be defined by the user, which may lead to biased results. Furthermore, most cluster algorithms neglect the individual localization precision connected to every localized molecule, leading to imprecise results. Bayesian cluster analysis has been put forward to overcome these problems, but so far, it has entailed high computational cost, increasing runtime drastically. Finally, most software is challenging to use as they require advanced technical knowledge to operate. Here we combined three advanced cluster algorithms with the Bayesian approach and parallelization in a user-friendly GUI and achieved up to an order of magnitude faster processing than for previous approaches. Our work will simplify access to a well-controlled analysis of clustering data generated by SMLM and significantly accelerate data processing. The inclusion of a simulation mode aids in the design of well-controlled experimental assays