10 research outputs found
L'effet des boues d'épuration (liquides et sèches) sur l'absorption des métaux lourds par le ray grass (<i>Lolium Perenne</i>)
National audienceL'épandage des boues résiduaires liquides et sèches a entraîné une augmentation de la production de la biomasse du Ray Grass. Cette augmentation est fonction des doses croissantes appliquées. Cet effet positif des boues sur les rendements a été constaté sur d'autres cultures. En effet, de nombreux auteurs ont signalé une augmentation significative des rendements de différentes cultures tels que le sorgho, le maïs, le piment, la pomme de terre. Nos essais ont également montré un meilleur rendement avec la boue sèche qu'avec la boue liquide l'année de l'épandage. Ceci pourrait également être le résultat d'une part d'une perte probable des nitrates apportés dans les boues liquides et d'autre part de la richesse de la boue apportée en matière sèche. En effet, la teneur de la boue en matière sèche est très variable soit environ 5% et 67% de matière sèche respectivement dans la boue liquide et la boue sèche. Pour ce qui est de l'accumulation des métaux lourds dans la plante, nos résultats ont montré que les teneurs en Cd, Pb, Zn, et Cu de la partie aérienne de la plante ne varient pas avec l'apport de 5 et 10 t/ha de boue sèche ou liquide. Ces résultats sont en accord avec ceux qui ont étudié l'évolution des teneurs en plomb des tissus du ray-grass, soumis à trois types de traitement (témoin sans apport, fertilisation minérale et amendement en boues). Ils ont montré qu'il n'existe aucune différence significative entre les quantités moyennes de plomb des différentes récoltes de ray-grass, issus des différents traitements d'une même série de culture, effectuées à une même date. Ils ont constaté le même effet pour le Zn
Integrating ultra‐fast charging stations within the power grids of smart cities: a review
Role of geraniol against lead acetate-mediated hepatic damage and their interaction with liver carboxylesterase activity in rats
Sliding mode load frequency control for multi‐area time‐delay power system with wind power integration
The interconnected time-delay power system has become an important issue for the open communication network. Meanwhile, due to the output power fluctuation of integrated wind energy, load frequency control (LFC) for power system with variable sources and loads has become more complicated. The novel decentralised sliding mode (SM) LFC strategy is proposed for multi-area time-delay power system with significant wind power penetration. The appropriate switching surface gain is selected to assure the stability of power system with mismatched uncertainties. The SM controller is constructed to satisfy the hitting condition. At last, the SM controller is proved by using the real-time digital simulator device under different case of time delay, wind penetration, load disturbance and operating point. The test results show that the proposed SM LFC can reduce frequency deviation and tie-line power fluctuation effectively
The effect of Ramadan related activities (Mid_day nap), early night prayers, and late night prayers on seizure frequency during Ramadan among fasting epileptic patients
The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications
Background:
The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications.
Methods:
ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery.
Results:
The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784.
Conclusions:
This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance.
© 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran