Psychosocial stimulation is one of the recommended interventions in the management of hospitalised children with severe acute malnutrition (SAM). However, there is currently limited scientific evidence supporting the effectiveness of the intervention. The study aimed to examine the effects of psychosocial stimulation on the development, nutrition, and treatment outcomes of hospitalised SAM children. A cluster-randomised controlled trial was conducted among health facilities that provide inpatient care for children with SAM in Silti Zone, Ethiopia. Fifty-eight children enrolled in the intervention facilities were provided stimulation intervention during their inpatient care and for 6 months after discharge. Sixty-eight children enrolled from control health facilities received routine inpatient care without stimulation and were followed for six months. Health education was provided to all caregivers on child health-related topics. Child development and nutrition outcomes were assessed four times using Denver II-Jimma and anthropometric measurements while the length of hospitalisation was used to measure treatment outcome. Children in the intervention group showed significantly better scores in Personal Social (p=0.001, effect size=0.77), Fine Motor (p=0.001, effect size=1.87), and Gross Motor (p=0.001, effect size=0.78) developmental domains from baseline to end line. Language domain however showed a significant difference only after discharge and intervention children scored better at six months (p<0.001, effect size=0.59). The intervention significantly improved treatment outcomes (p=0.010), but no significant changes in nutritional outcomes were documented. The findings highlighted the benefits of the intervention and the need to promote these interventions in health facilities within resource-limited settings.

Two diving beetle species (Coleoptera, Dytiscidae) from the extant genus Copelatus Erichson are documented from early Miocene Mexican amber. Copelatus chiapas new species is described based on a series of specimens of both sexes. Copelatus chiapas n. sp. is the third species of the subfamily Copelatinae described from amber and the first fossil diving beetle for which distinct sexual dimorphism is documented. The other species remains identified to genus level only, due to poor structural visibility. Key morphological characters of the species are illustrated.

UUID: http://zoobank.org/0127be7a-bcb5-41da-9363-283d5cd49738

Typically, weed density is used to predict weed-induced yield loss, as it is easy and quick to quantify, even though it does not account for weed size and time of emergence relative to the crop. Weed-crop leaf area relations, while more difficult to measure, inherently account for differences in plant size, representing weed-crop interference more accurately than weed density alone. Unmanned aerial systems (UAS) may allow for efficient quantification of weed and crop leaf cover over a large scale. It was hypothesized that UAS imagery could be used to predict maize yield loss based on weed-crop leaf cover ratios. A yield loss model for maize (Zea mays L.) was evaluated for accuracy using 15- and 30-m altitude aerial RGB and four-band multispectral imagery collected at four North Carolina locations. The model consistently over and underpredicted yield loss when observed yield loss was less than and greater than 3000 kg ha-1, respectively. Altitude and sensor type did not influence the accuracy of the prediction. A correction for the differences between predicted and observed yield loss was incorporated into the linear model to improve overall precision. The correction resulted in r2 increasing from 0.17 to 0.97 and a reduction in RMSE from 705 kg ha-1 to 219 kg ha-1. The results indicated that UAS images can be used to develop predictive models for weed-induced yield loss prior to canopy closure, making it possible for growers to plan production and financial decisions before the end of the growing season.