2,725 research outputs found

    Adaptive Load Frequency Control of Nigerian Hydrothermal System Using Unsupervised and Supervised Learning Neural Networks

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    This work presents a novel load frequency control design approach for a two-area power system that relies on unsupervised and supervised learning neural network structure. Central to this approach is the prediction of the load disturbance of each area at every minute interval that is uniquely assigned to a cluster via unsupervised learning process. The controller feedback gains corresponding to each cluster center are determined using modal control technique. Thereafter, supervised learning neural network (SLNN) is employed to learn the mapping between each cluster center and its feedback gains. A real time load disturbance in either or both areas activates the appropriate SLNN to generate the corresponding feedback gains. The effectiveness of the control framework is evaluated on the Nigerian hydrothermal system. Several far-reaching simulation results obtained from the test system are presented and discussed to highlight the advantages of the proposed approach

    Microscopic, Physicochemical and Phytochemical Evaluation of Stem bark of Aubrevillea kerstingii (Harms) Pellegr. (Mimosaceae)

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    Microscopic, physicochemical and phytochemical evaluation gives detailed valuable information that is useful in determination of the identity, quality and purity of medicinal plants, crude drugs and herbal products. The research was carried out in order to determine the microscopic, physicochemical and phytochemical parameters of stem bark extract of Aubrevillea kerstingii. The macroscopic, microscopic, chemo-microscopic and physicochemical and preliminary phytochemical screening parameters were determined according to standard methods.The microscopic features revealed the presence of thin walled, radially arranged cork cells, well developed cortex, bundles of sclerenchymatous cells and numerous prismatic calcium oxalate crystals The chemo-microscopy of the powdered stem bark revealed the presence of some cell wall materials and cell inclusions. Physicochemical parameters determined in this study showed moisture content to be 8.2 ± 0.07, total ash value 9.23 ± 0.56, acid insoluble ash 1.49 ± 0.12, water soluble ash 5.52 ± 0.10, alcohol extractive value 26.50 ± 0.61 and water extractive value 33.4 ± 0.36. Preliminary phytochemical screening revealed the presence of saponins, triterpenes, flavonoids, tannins, alkaloids and carbohydrate. The parameters of stem bark of Aubrevillea kerstingii determined in this study will help in establishing the quality and purity of the plant. Keywords: Aubrevillea kerstingii, Fabaceae, Physicochemical, Phytochemica

    Strategy of Soybean Management (Glycine Max L.) to Cope with Extreme Climate Using CropSyst© Model

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    This research was carried out to verify the CropSyst© plant model from experimental data in a soybean field and to predict planting time along with its potential yield. The researches were divided into two stages. First stage was a calibration for model on field from June to September 2015. Second stage was the application of the model. The required data models included climatic, soil and crop\u27s genetic data. There were relationship between the obtained data in field and the simulation from CropSyst© model which was indicated by 0.679 of Efficiency Index (EF) value. This meant that the CropSyst© model was well used. In case of Relative Root Mean Square Error (RRMSE), it was shown at 2.68 %. RRMSE value described that there was a 2.68 % error prediction between simulation and actual production. In conclusion, CropSyst© can be used to predict the suitable planting time for soybean and as the result, the suitable planting time for soybean on the dry land is the end of rainy season (2 June 2015). Tanggamus variety is the most resistant variety based on slow planting time, because the decreased percentage of production was lower (8.3 %) than Wilis (26.3 %) and Anjasmoro (43.0 %)

    Boosting immune system against cancer by melatonin: A mechanistic viewpoint

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    Cancer is a disease of high complexity. Resistance to therapy is a major challenge in cancer targeted therapies. Overcoming this resistance requires a deep knowledge of the cellular interactions within tumor. Natural killer (NK) cells and cytotoxic T lymphocytes (CTLs) are the main anti-cancer immune cells, while T regulatory cells (Tregs) and cancer associated fibroblasts (CAFs) facilitate immune escape of cancer cells. Melatonin is a natural agent with anti-cancer functions that has also been suggested as an adjuvant in combination with cancer therapy modalities such as chemotherapy, radiotherapy, immunotherapy and tumor vaccination. One of the main effects of melatonin is regulation of immune responses against cancer cells. Melatonin has been shown to potentiate the activities of anti-cancer immune cells, as well as attenuating the activities of Tregs and CAFs. It also has a potent effect on the mitochondria, which may change immune responses against cancer. In this review, we explain the mechanisms of immune regulation by melatonin involved in its anti-cancer effects. © 2019 Elsevier Inc

    Faktor-faktor yang Mempengaruhi Status Gizi Keluarga di Tiga Daerah Berbeda Pola Kekerabatan

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    The study was carried out in three different kinship areas : bilineal in West Java, patrilineal in Lampung and matrilineal in West Sumatera. The purpose of this study was to investigate the extent of sociocultural factors that may effect nutritional status. A total of428 women in three study areas were interviewed and families were observed. The mean per capita expenditure was about the same in the three areas, and the portion of expenditure for food was 55 to 59 percent. Based on weight for height using WHO-NCHS standard, the percent of families with malnourished children was 42,9 percent in Cianjur (West Java), 29,5 percent in Lampung Selatan (Lampung), and 30,7 percent in Tanah Datar (West Sumatera). The study revealed that condition and characteristic of the families of different kinships in the study areas contribute the difference in knowledge, practice and eating pattern leading to the difference in nutritional status. In promoting behavioural change and for determining appropriate approaches to use, factors such as the role and status of women in the family in different kinships and community experiences combined with appropriate methods of adult education should be considered in applying the nutrition extension programme
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