Blood lactate, pH, base excess and pCO(2) as prognostic indicators in caesarean-born kids from goats with pregnancy toxaemia

Research Areas: Veterinary SciencesArticle in International JournalsABSTRACT - The objective of this study was to identify the prognostic value for survival of blood parameters in the immediate post-caesarean surgery period in kids born from pregnancy toxaemia (PT) goats. This study involved 10 PT goats, in which a caesarean surgery was performed. Twenty-five kids were born after caesarean surgery of which 16 survived. A blood sample was collected from the jugular vein of the 10 goats and from the kids immediately after caesarean surgery (within 15 min). There were differences between the kids that survived and the kids that did not survive concerning the blood levels of pH (7.22 vs 7.00), base excess (- 9 vs - 18 mmol/L), pCO(2) (46 vs 62 mmHg) and L-lactate (5.6 vs 16 mmol/L). Maternal ketoacidosis due to PT has a negative impact on the survival rate of the offspring. This appears to be associated to a metabolic acidosis of the offspring. However, the only blood parameter in which there was a strong association between the maternal and newborn kids was blood urea nitrogen (r = 0.97).Barao & Barao and Faculdade de Medicina Veterinaria -Universidade de Lisboainfo:eu-repo/semantics/publishedVersio

Counting, generating and sampling tree alignments

Pairwise ordered tree alignment are combinatorial objects that appear in RNA secondary structure comparison. However, the usual representation of tree alignments as supertrees is ambiguous, i.e. two distinct supertrees may induce identical sets of matches between identical pairs of trees. This ambiguity is uninformative, and detrimental to any probabilistic analysis.In this work, we consider tree alignments up to equivalence. Our first result is a precise asymptotic enumeration of tree alignments, obtained from a context-free grammar by mean of basic analytic combinatorics. Our second result focuses on alignments between two given ordered trees $S$ and $T$. By refining our grammar to align specific trees, we obtain a decomposition scheme for the space of alignments, and use it to design an efficient dynamic programming algorithm for sampling alignments under the Gibbs-Boltzmann probability distribution. This generalizes existing tree alignment algorithms, and opens the door for a probabilistic analysis of the space of suboptimal RNA secondary structures alignments.Comment: ALCOB - 3rd International Conference on Algorithms for Computational Biology - 2016, Jun 2016, Trujillo, Spain. 201

Compreender a Recorrência dos Mixomas Cardíacos. Um Caso Clínico

Recurrence of cardiac myxoma is a rare condition, observed in about 3% of patients in sporadic cases, although it is more frequent in familial ones. Several mechanisms have been proposed to explain such recurrence, and the importance of increased vascularization as a facilitating feature is the subject of debate. The authors report the case of a non-familial right atrial myxoma, unusual for both its histopathology and recurrence

CD44 Expression Profile Varies According to Maturational Subtypes and Molecular Profiles of Pediatric T-Cell Lymphoblastic Leukemia.

CD44 is a glycoprotein expressed in leucocytes and a marker of leukemia-initiating cells, being shown to be important in the pathogenesis of T cell acute lymphoblastic leukemia (T-ALL). In this study, we have (i) identified the aberrant antigenic pattern of CD44 and its isoform CD44v6 in T-ALL; (ii) tested the association with different T-cell subtypes and genomic alterations; (iii) identified the impact of CD44 status in T-ALL outcome. Samples from 184 patients (123 T-ALL and 61 AML; <19 years) were analyzed throughout multiparametric flow cytometry. Mutations in N/KRAS, NOTCH1, FBXW7 as well as STIL-TAL1 and TLX3 rearrangements were detected using standard molecular techniques. CD44 expression was characterized in all T-ALL and AML cases. Compared with AML samples in which the median fluorescence intensity (MFI) was 79.1 (1-1272), T-ALL was relatively low, with MFI 43.2 (1.9-1239); CD44v6 expression was rarely found, MFI 1 (0.3-3.7). T-ALL immature subtypes (mCD3/CD1aneg) had a lower CD44 expression, MFI 57.5 (2.7-866.3), whereas mCD3/TCRγδpos cases had higher expressions, MFI 99.9 (16.4-866.3). NOTCH1 mut and STIL-TAL1 were associated with low CD44 expression, whereas N/KRAS mut and FBXW7 mut cases had intermediate expression. In relation to clinical features, CD44 expression was associated with tumor infiltrations (p = 0.065). However, no association was found with initial treatment responses and overall survival prediction. Our results indicate that CD44 is aberrantly expressed in T-ALL being influenced by different genomic alterations. Unraveling this intricate mechanism is required to place CD44 as a therapeutic target in T-ALL

CRIMES CONTRA A DIGNIDADE SEXUAL DOS CRIMES HEDIONDOS – O ESTUPRO E O ESTUPRO DE VULNERÁVEL

A dignidade sexual é um bem jurídico constitucional e penal. Nele está inserida a liberdade sexual; a autodeterminação; a formação da personalidade sexual; e a escolha de com quem, quando e sob quais circunstâncias irá praticar o ato sexual. A prática deste ato sem o consentimento da pessoa configura-se crime de estupro - art.213 do CP -, qualificado quando resultar grave lesão ou morte, como também, quando praticado com vulnerável - art.217-A do CP. Vulnerável é um termo usado quando o indivíduo se encontra em estado que não possa exprimir sua vontade por determinadas circunstâncias. O Código Penal prescreve sobre alguém com enfermidade ou deficiência mental ou que por outra causa não pode oferecer resistência, como pessoas sob efeito de álcool ou drogas. E no caput do artigo os menores de 14 (quatorze) anos. Apesar da lei prever esta faixa etária, doutrina e jurisprudência defendem a relativização da mesma, por legislação especial que define 12 (doze) anos, abstração da realidade e severidade excessiva do Código Penal

Facial Emotion Recognition

Emotion is a complex conscious that humans experience as a result of interactions with the environment. The project basically takes in the image, recognises the emotion by fragmenting the image with the deep learning technique using CNN. The tools and framework used here are keras and TensorFlow respectively. Here the facial feeling analysis refers to computing system that makes an attempt to mechanically analyse and recognise facial feeling and facial feature changes from visual data. The image being pre-processed helps for aiming a better quality of image and hence the emotion can be detected in a better way. This project can be used in many fields and one such field is mental health care centre. Patients with bipolar disorders should be treated by adhering the emotional behavior of patient and our project helps in doing the same