Recycling of palm oil mill sludge discharge nutrients through SCP (Chlorella vulgaris) culturing

Meeting: Workshop on High Rate Algae Ponds, 27-29 Feb. 1980, Singapore, SGIn IDL-306

Teores de mercúrio no cabelo: um estudo comparativo em trabalhadores da lavoura de cana-de-açúcar com exposição pregressa aos fungicidas organo-mercuriais no município de Campos - RJ

Como parte de uma tese de doutoramento, foi realizado um estudo comparativo dos teores de mercúrio no cabelo de um grupo de trabalhadores que tinham deixado de manipular os fungicidas organo-mercuriais há pelo menos dois anos com outro grupo semelhante, porém sem a história de manipulação prévia destes fungicidas. Embora não tenham sido encontradas diferenças estatisticamente significantes entre os grupos, os dados apresentados sugerem que pode ter havido contaminação ambiental por mercúrio em trabalhadores, pelo menos dois anos depois da proibição do uso dos fungicidas organo-mercuriais no Brasil.<br>In a rural area of the state of Rio de Janeiro - Brazil was realized a comparative study of mercury levels in human scalp hair between two groups of sugar cane plantation workers: exposed and not exposed at past (up two years) to the organomercury fungicides. It was not find statistical difference between the two groups, but these results shown a possibility of environmental pollution

GestaltMatcher facilitates rare disease matching using facial phenotype descriptors.

Many monogenic disorders cause a characteristic facial morphology. Artificial intelligence can support physicians in recognizing these patterns by associating facial phenotypes with the underlying syndrome through training on thousands of patient photographs. However, this ‘supervised’ approach means that diagnoses are only possible if the disorder was part of the training set. To improve recognition of ultra-rare disorders, we developed GestaltMatcher, an encoder for portraits that is based on a deep convolutional neural network. Photographs of 17,560 patients with 1,115 rare disorders were used to define a Clinical Face Phenotype Space, in which distances between cases define syndromic similarity. Here we show that patients can be matched to others with the same molecular diagnosis even when the disorder was not included in the training set. Together with mutation data, GestaltMatcher could not only accelerate the clinical diagnosis of patients with ultra-rare disorders and facial dysmorphism but also enable the delineation of new phenotypes