60 research outputs found
Reproduction performance of female Nile tilapia (Oreochromis niloticus) fed on diets made using caterpillar meal (Imbrasia truncata) as replacement of fish meal
The study determined the effects of caterpillar meal as a replacement of fish meal on reproduction performance of Nile tilapia (Oreochromis niloticus) broodstock. Three diets containing different percentages of caterpillar meal were fed to O. niloticus. The first diet (T0) contained 0% caterpillar meal, the second diet (T1) contained 15% caterpillar meal and the third diet (T2) contained 30% caterpillar meal. The diets were fed to duplicate groups of brood fish (average weight of 78.3 ± 6.5 g for males and 39.8 ± 8.17 g for females). Each group consisted of six females and two males stocked into a hapa and fed twice a day at 3% of their body weight for 96 days. There were no significant differences (p > 0.05) among the experimental diets with respect to Specific Growth Rates (SGR) but the difference was significant (p < 0.05) between diets T0 and the two other diets on the Survival Rate (SR). No significant differences were found between diets T0 and T1 on total % of spawning per diet. Inter-spawning intervals (ISI) showed irregular patterns in relation to diet (p < 0.05) between diets T0 and T1, but with diet T0, the females tended to spawn at shorter intervals. However for diet T2, the period before first spawning was significantly longer than that of diets T0 and T1. Mean gonadosomatic index (GSI) was lower in fish fed with diet T2 than those fed with diets T0 and T1. Diets T0 and T1 recorded the highest GSI with no difference between diets. The body composition of broodstock was not significantly affected by the changes in diets. These results revealed that the replacement of fish meal by caterpillar meal at 15% can lead to better reproduction performance on Nile tilapia broodstock reared in hapas. It was therefore recommended that diet T1 be used in feeding broodstock of Nile tilapia O. niloticus.
Keywords: Reproduction performance, Oreochromis niloticus, caterpillar mea
Towards Autonomous Object Reconstruction for Visual Search by the Humanoid Robot HRP-2
International audienceThis paper deals with the problem of object reconstruction for visual search by a humanoid robot. Three problems necessary to achieve the behavior autonomously are considered: full-body motion generation according to a camera pose, general object representation for visual recognition and pose estimation, and far-away visual detection of an object. First we deal with the problem of generating full body motion for a HRP-2 humanoid robot to achieve camera pose given by a Next Best View algorithm. We use an optimization based approach including self-collision avoidance. This is made possible by a body to body distance function having a continuous gradient. The second problem has received a lot of attention for several decades, and we present a solution based on 3D vision together with SIFTs descriptor, making use of the information available from the robot. It is shown in this paper that one of the major limitation of this model is the perception distance. Thus a new approach based on a generative object model is presented to cope with more difficult situations. It relies on a local representation which allows handling occlusion as well as large scale and pose variations
Successful management of Influenza A associated fulminant myocarditis: mobile circulatory support in intensive care unit: a case report
A 26-year-old woman was referred to an Emergency Department because of common flu-like syndrome with hemodynamic collapse. In Intensive Care Unit (ICU), she was diagnosed as a probable septic shock. But despite treatment her condition rapidly deteriorated during the subsequent hours. Diagnosis of cardiogenic shock was established. Mechanical circulatory support was inserted into the patient. She was transferred in a Cardio-Vascular Surgical ICU where at the 5th day of mechanical circulatory support, echocardiography showed heart recovery which allowed weaning of mechanical circulatory support and progressive withdrawal of inotropic support. She was discharged at the 26th day. During her hospitalization, presence of Influenza A RNA was shown in myocardial biopsy
Appropriateness for SARS-CoV-2 vaccination for otolaryngologist and head and neck surgeons in case of pregnancy, breastfeeding, or childbearing potential: Yo-IFOS and CEORL-HNS joint clinical consensus statement
Purpose SARS-CoV-2 vaccines are a key step in fighting the pandemic. Nevertheless, their rapid development did not allow for testing among specific population subgroups such as pregnant and breastfeeding women, or elaborating specific guidelines for healthcare personnel working in high infection risk specialties, such as otolaryngology (ORL). This clinical consensus statement (CCS) aims to offer guidance for SARS-CoV-2 vaccination to this high-risk population based on the best evidence available. Methods A multidisciplinary international panel of 33 specialists judged statements through a two-round modified Delphi method survey. Statements were designed to encompass the following topics: risk of SARS-Cov-2 infection and use of protective equipment in ORL; SARS-Cov-2 infection and vaccines and respective risks for the mother/child dyad; and counseling for SARS-CoV-2 vaccination in pregnant, breastfeeding, or fertile healthcare workers (PBFHW). All ORL PBFHW were considered as the target audience. Results Of the 13 statements, 7 reached consensus or strong consensus, 2 reached no consensus, and 2 reached near-consensus. According to the statements with strong consensus otorhinolaryngologists-head and neck surgeons who are pregnant, breastfeeding, or with childbearing potential should have the opportunity to receive SARS-Cov-2 vaccination. Moreover, personal protective equipment (PPE) should still be used even after the vaccination. Conclusion Until prospective evaluations on these topics are available, ORL-HNS must be considered a high infection risk specialty. While the use of PPE remains pivotal, ORL PBFHW should be allowed access to SARS-CoV-2 vaccination provided they receive up-to-date information
Global variations in diabetes mellitus based on fasting glucose and haemogloblin A1c
Fasting plasma glucose (FPG) and haemoglobin A1c (HbA1c) are both used to diagnose
diabetes, but may identify different people as having diabetes. We used data from 117
population-based studies and quantified, in different world regions, the prevalence of
diagnosed diabetes, and whether those who were previously undiagnosed and detected
as having diabetes in survey screening had elevated FPG, HbA1c, or both. We developed
prediction equations for estimating the probability that a person without previously
diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa.
The age-standardised proportion of diabetes that was previously undiagnosed, and
detected in survey screening, ranged from 30% in the high-income western region to 66%
in south Asia. Among those with screen-detected diabetes with either test, the agestandardised
proportion who had elevated levels of both FPG and HbA1c was 29-39%
across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and
middle-income regions, isolated elevated HbA1c more common than isolated elevated
FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and
underestimate diabetes prevalence. Our prediction equations help allocate finite
resources for measuring HbA1c to reduce the global gap in diabetes diagnosis and
surveillance.peer-reviewe
Un cadre pour un système multi-robot de service
National audienceL'objectif général de ce travail est de modéliser un système permettant à un utilisateur de donner une mission à une équipe de robots et de déterminer l'ensemble des processus menant à son exécution. Le papier propose un modèle participatif pour mettre en place ce système. Nous séparons l'acteur : élément actif soumis au stimulus (l'utilisateur et sa requête), la forme objective : objet conçu dans l'esprit de l'acteur, le produit : élément correspondant à la satisfaction du stimulus. En accord avec ce modèle, le système se base sur un schéma à plusieurs niveaux. Nous abordons principalement les deux premiers niveaux : le vérificateur syntaxique et sémantique de la requête chargé de valider, corriger et compléter interactivement la demande de l'utilisateur, puis le vérificateur géométrique, chargé de générer les itinéraires des robots ainsi que de valider le passage des formations. Le résultat est présenté à l'utilisateur au travers d'une interface pour être validé. Le modèle mental du déroulement, construit parallèlement à la formulation de la requête par l'utilisateur, peut être confronté avec celui inféré par le système
A multi-robot path planner for group navigation
International audienceThe general objective of this work is to model and conceive a system allowing a user, and more particulary a disabled person, to give a mission to a team of robots in a structured indoor type environment, and to determine the whole processes necessary to its execution. The considered missions are of assistance type, objects displacement and site monitoring. The multiplication of the number of robots involves additional difficulties of management, from where need for providing an interface adapted for the seizure and the supervision of this type of mission. We propose a model based on two levels of abstraction through which the users request is analyzed. A first level takes care of the checks of a syntactic nature and semantics by validating and supplementing the request. A second level takes care of the geometrical checks and validates the passage of the robots in formation for the transport of object. The result is then presented at the user. The originality of this work lies mainly in the approach of the human multi-robot interaction. The system suggested called participative, interactive and incremental, with an active assistance to the mission specification. A solution for setting up the levels of the model is proposed as well as examples of use. The system was validated with a group of five robots
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