with sensitivity to detect changes of as little as 0.01 kg.A history of insufficient nutritional intake is reflected by low anthropometric measures and can lead to growth failures, limited mental development, poor health outcomes and a higher risk of dying. Children below five years are among those most vulnerable and, while improvements in the share of children affected by insufficient nutritional intake has been observed, both sub-Saharan Africa and South Asia have a disproportionately high share of growth failures and large disparities at national and sub-national levels. In this study, we use a Bayesian distributional regression approach to develop models for the standard anthropometric measures, stunting and wasting. This approach allows us to model both the mean and the standard deviation of the underlying response distribution. Accordingly, the whole distribution of the anthropometric measures can be evaluated. This is of particular importance, considering the fact that (severe) growth failures of children are defined having a z-score below -2 (-3), emphasisinof growth failures at sub-national levels within India, Nigeria, Niger, and Madagascar, emphasising the need to accelerate progress to reach the target set by the SDGs.Laparoscopic Sleeve Gastrectomy (LSG) is one of the most common bariatric operations done worldwide [1]. About 6.6% of the LSG is being converted to laparoscopic roux-en-Y gastric bypass (LRYGB), most commonly due to inadequate weight loss (65%) and severe reflux (26%) [2]. The most common late complications after LRYGB are dumping, small bowel obstruction, internal hernia, weight regain, marginal ulcer, strictures of the gastro-jejunostomy [3] and rarely proximal stricture at the gastric pouch as our presented case. Treatment options for such a case may start with endoscopic dilatation and if not succeeded it may warrant surgical intervention as shortening of the pouch and redo of the gastrojejunostomy proximal to the stricture or even total gastrectomy and esophago-jejunal anastomosis.  https://www.selleckchem.com/Bcl-2.html  Sero-myotomy of the gastric pouch can be done as the same technique which can be used in sero-myotomy of sleeved stomach with stricture [4] and spare resection of the pouch. This report aims to present a new option of surgical management for proximal stricture of the gastric pouch after LRYGB which to our knowledge was never published in the literature.In the present study, we examine how person categorization conveyed by the combination of multiple cues modulates joint attention. In three experiments, we tested the combinatory effect of age, sex, and social status on gaze-following behaviour and pro-social attitudes. In Experiments 1 and 2, young adults were required to perform an instructed saccade towards left or right targets while viewing a to-be-ignored distracting face (female or male) gazing left or right, that could belong to a young, middle-aged, or elderly adult of high or low social status. Social status was manipulated by semantic knowledge (Experiment 1) or through visual appearance (Experiment 2). Results showed a clear combinatory effect of person perception cues on joint attention (JA). Specifically, our results showed that age and sex cues interacted with social status information depending on the modality through which it was conveyed. In Experiment 3, we further investigated our results by testing whether the identities used in Experiments 1 and 2 triggered different pro-social behaviour. The results of Experiment 3 showed that the identities resulting as more distracting in Experiments 1 and 2 were also perceived as more in need and prompt helping behaviour. Taken together, our evidence shows a combinatorial effect of age, sex, and social status in modulating the gaze following behaviour, highlighting a complex and dynamic interplay between person categorization and joint attention.The COVID-19 pandemic has triggered a notable increase in the expression of prejudicial and xenophobic attitudes that threaten the wellbeing of minority groups and contribute to the overall public health toll of the virus. However, while there is evidence documenting the growth in discrimination and xenophobia, little is known about how the COVID-19 outbreak is activating the expression of such negative attitudes. The goal of the current paper therefore was to investigate what aspects of the COVID-19 pandemic may be contributing to this rise in expressions of prejudice and xenophobia. More specifically, this study used an experimental design to assess the effects of using stigmatized language to describe the virus as well as the threat to physical health and economic wellbeing posed by the virus on COVID-19 prejudice. Data were collected from a national sample of 1451 adults residing within the United States. Results from 2 × 2 x 2 between-subjects analyses of covariance demonstrated that emphasizing the connection between China and COVID-19, rather than framing the virus neutrally, increased negative attitudes toward Asian Americans, beliefs that resources should be prioritized for Americans rather than immigrants, and general xenophobia. Emphasizing the severity of the economic impact of the virus also increased beliefs that Asian Americans are a threat to resources and general xenophobia. In contrast, messages which emphasized the serious health risks of COVID-19 did not increase bias toward Asian Americans or xenophobia. Our findings suggest that specific types of public health messaging related to infectious diseases, especially framing the virus in terms of its country of origin or its likely economic impact, may elicit prejudice and xenophobia. Public health campaigns that emphasize the severity of the virus, however, are not likely to trigger the same negative attitudes. Implications for public health responses to health crises are discussed.
  The transition to college presents a period of vulnerability to mental illness, and opportunity for positive psychosocial development.
 
  The present study sought to build an explanatory person-centered and contextualized model of student wellbeing in the transition to college.
 
  Participants were entering first year undergraduate students at a large public university in the United States (n=5509). Online survey data were collected at three time points across the academic year, with outcomes of depression and anxiety, thriving, and grade point average, and predictors including resilient coping, self-compassion, social support, school connections and the acute and chronic stressors experienced during the transition to college. Latent growth curves were used to examine trajectories of change in depression and anxiety, and a cross-lagged panel model was used to describe a system of how all measured variables influenced each other over time.
 
  There were four main findings. On average, students experienced moderate increases in depression and anxiety from the summer before college through the spring, with wide variability across students and no clear patterning by demographic groups.