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Parental violence poses a considerable, yet mitigable risk for the mental health and well-being of refugee children living in resource-poor refugee camps. However, little is known about potential risk factors for parental violence in these settings. Using an ecological systems perspective and a multi-informant approach, we investigated ontogenic (parental childhood experiences of violence), microsystem (parents’ and children’s psychopathology) and exosystem (families’ monthly household income) risk factors for child-directed parental violence in a sample of 226 Burundian families living in refugee camps in Tanzania. Data were collected through individual structured clinical interviews with mothers, fathers, and children. In the child-report path model [ χ2 (6) = 7.752, p = .257, comparative fit index (CFI) = 0.99, root mean square error of approximation (RMSEA) = 0.036 ( p = .562)], children’s posttraumatic stress disorder (PTSD) symptoms, externalizing symptoms and paternal PTSD symptoms were positively associated with violence by both parents. Maternal psychosocial impairment was positively associated with child-reported paternal violence. In the parent-report path model [ χ2 (6) = 7.789, p = .254, CFI = 0.97, RMSEA = 0.036 ( p = .535)], children’s externalizing problems as well as a lower monthly household income were positively related to maternal violence. Each parent’s childhood victimization was positively linked to their use of violence against children. Maternal psychosocial impairment and paternal alcohol abuse were positively associated with paternal violence. Child and paternal psychopathology, maternal psychosocial impairment, parents’ childhood victimization, and families’ socioeconomic status may be important targets for prevention and intervention approaches aiming to reduce parental violence against refugee children living in camps.

AIM To verify synergistic effects, we investigated the antimicrobial activity of seven phenolic phytochemicals (gallic acid; epicatechin; epigallocatechin gallate; daidzein; genistein; myricetin; 3-hydroxy-6-methoxyflavone) in combination with six antibiotics against multidrug-resistant isolates from the ESKAPE group. METHODS AND RESULTS To investigate single phytochemicals and combinations, initial microdilution and checkerboard assays were used, followed by time-kill assays to evaluate the obtained results. The research revealed that phenolic compounds on their own resulted in little or no inhibitory effects. During preliminary tests, most of the combinations resulted in indifference (134 [71.3%]). In all, 30 combinations led to antagonism (15.9%); however, 24 showed synergistic effects (12.8%). The main tests resulted in nine synergistic combinations for the treatment of four different bacteria strains, including two substances (3-hydroxy-6-methoxyflavone, genistein) never tested before in such setup. Time-kill curves for combinations with possible synergistic effects confirmed the results against Acinetobacter baumannii as the one with the greatest need for research. CONCLUSIONS The results highlight the potential use of antibiotic-phytocompound combinations for combating infections with multi-resistant pathogens. Synergistic combinations could downregulate the resistance mechanisms of bacteria. SIGNIFICANCE AND IMPACT OF THE STUDY The aim of this study is to demonstrate the potential use of phenolic natural compounds in combination with conventional antibiotics against multidrug-resistant bacteria of the ESKAPE group. Due to synergistic effects of natural phenolic compounds combined with antibiotics, pathogens that are already resistant to antibiotics could be resensitized as we were able to reduce their MICs back to sensitive. In addition, combination therapies could prevent the development of resistance by reducing the dose of antibiotics. This approach opens up the basis for future development of antimicrobial therapy strategies, which are so urgently needed in the age of multidrug-resistant pathogens.

We explore universal critical behavior in models with two competing order parameters, and an O(N)+O(M) symmetry for dimensions $d \leq 3$. In d=3, there is always exactly one stable Renormalization Group fixed point, corresponding to bicritical or tetracritical behavior. Employing novel, pseudo-spectral techniques to solve functional Renormalization Group equations in a two-dimensional field space, we uncover a more intricate structure of fixed points in d, 17 pages, 16 figures

We apply pseudo-spectral methods to integrate functional flow equations with high accuracy, extending earlier work on functional fixed point equations \cite{Borchardt:2015rxa}. The advantages of our method are illustrated with the help of two classes of models: first, to make contact with literature, we investigate flows of the O$(N)$-model in 3 dimensions, for $N=1, 4$ and in the large $N$ limit. For the case of a fractal dimension, $d=2.4$, and $N=1$, we follow the flow along a separatrix from a multicritical fixed point to the Wilson-Fisher fixed point over almost 13 orders of magnitude. As a second example, we consider flows of bounded quantum-mechanical potentials, which can be considered as a toy model for Higgs inflation. Such flows pose substantial numerical difficulties, and represent a perfect test bed to exemplify the power of pseudo-spectral methods., 12 pages, 9 figures

We study the renormalization flow of the Higgs potential as a function of both field amplitude and energy scale. This overcomes limitations of conventional techniques that rely, e.g., on an identification of field amplitude and RG scale, or on local field expansions. Using a Higgs-Yukawa model with discrete chiral symmetry as an example, our global flows in field space clarify the origin of possible meta-stabilities, the fate of the pseudo-stable phase, and provide new information about the renormalization of the tunnel barrier. Our results confirm the relaxation of the lower bound for the Higgs mass in the presence of more general microscopic interactions (higher-dimensional operators) to a high quantitative accuracy., 17 pages, 13 figures

We apply pseudo-spectral methods to construct global solutions of functional renormalisation group equations in field space to high accuracy. For this, we introduce a basis to resolve both finite as well as asymptotic regions of effective potentials. Our approach is benchmarked using the critical behaviour of the scalar $O(1)$ model, providing results for the global fixed point potential as well as leading critical exponents and their respective global eigenfunctions. We provide new results for (1) multi-critical $O(1)$ models in fractional dimensions, (2) the three-dimensional Gross-Neveu model at both small and large $N$, and (3) the scalar-tensor model, also in three dimensions., Comment: 14 pages, 9 figures. v2: typos corrected

We developed a Matlab based procedure for tracking phase singularities in optical fields. It visualises the motion of the singularities and quantifies their charges while the wave field propagates. We will explain how this procedure works and present some singularity trajectories calculated by this method. It will turn out that this procedure might be very useful for investigating the behaviour of phase singularities.

We measure the polarization state of each guided transversal mode propagating in step-index large-mode-area fibers (V≈4) using a correlation-filter based measurement technique in combination with a Stokes parameter measurement. The entire emerging beam, expressed in terms of a phase-dependent superposition of linearly polarized modes, demonstrates spatially varying polarization properties. By knowing the information about modal amplitudes and phase differences, full information about the optical field is available.