Functional Magnetic Resonance Imaging (fMRI) represents a powerful tool with which to examine brain functioning and development in typically developing pediatric groups as well as children and adolescents with clinical disorders. However, fMRI data can be highly susceptible to misinterpretation due to the effects of excessive levels of noise, often related to head motion. Imaging children, especially with developmental disorders, requires extra considerations related to hyperactivity, anxiety and the ability to perform and maintain attention to the fMRI paradigm. We discuss a number of methods that can be employed to minimize noise, in particular movement-related noise. To this end we focus on strategies prior to, during and following the data acquisition phase employed primarily within our own laboratory. We discuss the impact of factors such as experimental design, screening of potential participants and pre-scan training on head motion in our adolescents with developmental disorders and typical development. We make some suggestions that may minimize noise during data acquisition itself and finally we briefly discuss some current processing techniques that may help to identify and remove noise in the data. Many advances have been made in the field of pediatric imaging, particularly with regard to research involving children with developmental disorders. Mindfulness of issues such as those discussed here will ensure continued progress and greater consistency across studies.

Functional Magnetic Resonance Imaging (fMRI) represents a powerful tool with which to examine brain functioning and development in typically developing pediatric groups as well as children and adolescents with clinical disorders. However, fMRI data can be highly susceptible to misinterpretation due to the effects of excessive levels of noise, often related to head motion. Imaging children, especially with developmental disorders, requires extra considerations related to hyperactivity, anxiety and the ability to perform and maintain attention to the fMRI paradigm. We discuss a number of methods that can be employed to minimize noise, in particular movement-related noise. To this end we focus on strategies prior to, during and following the data acquisition phase employed primarily within our own laboratory. We discuss the impact of factors such as experimental design, screening of potential participants and pre-scan training on head motion in our adolescents with developmental disorders and typical development. We make some suggestions that may minimize noise during data acquisition itself and finally we briefly discuss some current processing techniques that may help to identify and remove noise in the data. Many advances have been made in the field of pediatric imaging, particularly with regard to research involving children with developmental disorders. Mindfulness of issues such as those discussed here will ensure continued progress and greater consistency across studies.

Excessive leverage, i.e. the abuse of debt financing, is considered one of the  primary factors in the default of financial institutions. Systemic risk results from correlations between individual default probabilities that cannot be considered independent. Based on the structural framework by Merton (1974), we discuss a model in which these  correlations arise from overlaps in banks' portfolios. Portfolio  diversification is used as a strategy to mitigate losses from investments in risky projects. We calculate an optimal level of  diversification that has to be reached for a given level of excessive leverage to still mitigate an increase in systemic risk. In our  model, this optimal diversification further depends on the market size and the market conditions (e.g. volatility). It allows to distinguish between a safe regime, in which excessive leverage does not result in an increase of systemic risk, and a risky regime, in which excessive leverage cannot be mitigated leading to an increased systemic risk. Our results are of relevance for financial regulators.

Cannabinoid receptors are molecular targets for marijuana and hashish, the widespread drugs of abuse. These receptors are expressed in areas of the central nervous system that contribute in important ways to the control of memory, cognition, movement and pain perception. Indeed, such functions can be strongly influenced by cannabinoid drugs, with consequences that include euphoria, analgesia, sedation and memory impairment. Although the pharmacology of cannabinoid drugs is now beginning to be understood, we still lack essential information on the endogenous signalling system(s) by which cannabinoid receptors are normally engaged. An endogenous ligand for cannabinoid receptors, anandamide, has been described. Here we report that sn-2 arachidonylglycerol (2-AG), a cannabinoid ligand isolated from intestinal tissue, is present in brain in amounts 170 times greater than anandamide. 2-AG is produced in hippocampal slices by stimulation of the Schaffer collaterals, an excitatory fibre tract that projects from CA3 to CA1 neurons. Formation of 2-AG is calcium dependent and is mediated by the enzymes phospholipase C and diacylglycerol lipase. 2-AG activates neuronal cannabinoid receptors as a full agonist, and prevents the induction of long-term potentiation at CA3-CA1 synapses. Our results indicate that 2-AG is a second endogenous cannabinoid ligand in the central nervous system.

INTRODUCTION: Many refugees face challenges accessing water, sanitation, and hygiene (WASH) services. However, there is limited literature on WASH access for refugee populations, including for menstrual health services. Unmet WASH access needs may therefore be hidden, amplifying morbidity and mortality risks for already vulnerable refugee populations. The aim of this study was therefore to quantitatively analyze WASH access among refugee camps, with a focus on households with women of reproductive age. METHODS: This was a cross-sectional study that utilized the Standardized WASH Knowledge, Attitude and Practice (KAP) Survey. A total of 5632 household questionnaires were completed by the United Nations Refugee Agency in 2019 in 21 refugee camps and settlements in Bangladesh, Kenya, South Sudan, Uganda, and Zimbabwe. WASH access (14 items) and social and geographic stratifiers were analyzed at the household-level including the refugee camp, country of the settlement, having women of reproductive age, members with disability/elderly status, and household size. We calculated frequencies, odds ratios, and performed bivariate and multivariate analyses to measure inequalities. We developed a Female WASH Access Index to characterize WASH access for households with women of reproductive age. RESULTS: Most refugee households had high levels of access to improved water (95%), low levels of access to waste disposal facility (64%) and sanitation privacy (63%), and very low access to basic sanitation (30%) and hand hygiene facility (24%). 76% of households with women of reproductive age had access to menstrual health materials. WASH access indicators and the Female WASH Access Index showed large inequalities across social and geographic stratifiers. Households with disabled or elderly members, and fewer members had poorer WASH access. Households with women of reproductive age had lower access to basic sanitation. CONCLUSIONS: Large inequalities in WASH access indicators were identified between refugee sites and across countries, in all metrics. We found high levels of access to improved water across most of the refugee camps and settlements studied. Access to basic hygiene and sanitation, sanitation privacy, waste disposal, and menstrual health materials, could be improved across refugee sites. Households with women of reproductive age, with 4+ members, and without members with disability/elderly status were associated with higher WASH access. The female WASH access index piloted here could be a useful tool to quickly summarize WASH access in households with women of reproductive age.