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OALib Journal期刊

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Risk Factors of Low Birth Weight in Mbujimayi City, Democratic Republic of Congo  [PDF]
Kanyiki Katala Moise, Banza Ndala Deca Blood, Mukendi Mukendi Jean René, Ciamala Mukendi Paul, Mukendi Ntumba Kennedy, Kaya Tompa Brigitte, Ilunga Bimpa Cedric, Kolela Kolela Alain, Mulewu Ngandu Hypolitte, Kabamba Nzaji Michel
Open Access Library Journal (OALib Journal) , 2017, DOI: 10.4236/oalib.1103501
Abstract:
The objective of this study was to identify and explain the factors influencing the birth of underweight children in the city of Mbuji-Mayi. Methods: This is not a paired case-control study of births registered from 1 to June 30, 2015 in maternity hospitals in three health zones selected for this study, cases are all children born with low weight and witnesses are all children born with a normal weight is 2500 g and more. The significance level was set at p < 0.05. Results: The proportion of LBW was 14.5%. The risk factors identified in this study are: Unmarried women [ORa = 2.92 (1.41 to 5.61)], not Luba Tribal origin [ORa = 1.71 (1.02 to 2.872)], anemia of pregnancy [ORa = 2.92 (1.79 to 4.75)], the non-attendance of the CPN [ORa = 1.92 (1.16 to 3.17)], preterm labor [ORa = 3, 11 (1.79 to 5.41)], diabetic mothers [ORa = 3.44 (1.91 to 6.21)], the history of malaria [ORa = 2 (1.23 to 3.26) ], multiparity [ORa = 2 (1.23 to 3.26)] and threatened abortion histories [ORa = 6.17 (2.82 to 13.52)] had statistical significantly associated with links é FPN.
Frequency and Causes of Vaginal Hemorrhage outside Pregnancy in Women of Reproductive Age at Bonzola Hospital, Mbuji-Mayi, DRC  [PDF]
Kaya Tompa Brigitte, Ciamala Mukendi Paul, Nzembu Kabwasa Peter, Kanyiki Katala Moses, Ntumba Mukendi Kennedy, Jean Mukendi Mukendi Rene, Kolela Kolela Alain, Ilunga Bimpa Cedric, Cibangu Muana Wamuenyi Franck, Kaseka Ciswaka Jeanne, Amuli Jiwe Jean-Pierre
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104940
Abstract:
Vaginal haemorrhages outside pregnancy in women of childbearing age are a major public health problem in both developed and developing countries. The purpose of this study was to determine the frequency and causes of vaginal haemorrhage outside pregnancy. This is a descriptive study conducted in the city of Mbuji-Mayi at Bonzola General Hospital, registered from 01 to 31 December 2017; the data were collected transversally. The following observations were made during the study period; 174 women of childbearing age were registered. After analyzing the data, the incidence of vaginal haemorrhage in women of childbearing age was 15.8% and the main causes were: cervical cancer: 32.7% and uterine myoma 22.5%.
Infilling annual rainfall data using feedforward back-propagation Artificial Neural Networks (ANN): application of the standard and generalised back-propagation techniques
M Ilunga
Journal of the South African Institution of Civil Engineering , 2010,
Abstract: Water resource planning and management require long time series of hydrological data (e.g. rainfall, river flow). However, sometimes hydrological time series have missing values or are incomplete. This paper describes feedforward artificial neural network (ANN) techniques used to infill rainfall data, specifically annual total rainfall data. The standard back-propagation (BP) technique and the generalised BP technique were both used and evaluated. The root mean square error of predictions (RMSEp) was used to evaluate the performance of these techniques. A preliminary case study in South Africa was done using the Bleskop rainfall station as the control and the Luckhoff-Pol rainfall station as the target. It was shown that the generalised BP technique generally performed slightly better than the standard BP technique when applied to annual total rainfall data. It was also observed that the RMSEp increased with the proportion of missing values in both techniques. The results were similar when other rainfall stations were used. It is recommended for further study that these techniques be applied to other rainfall data (e.g. annual maximum series, etc) and to rainfall data from other climatic regions.
Infilling streamflow data using feed-forward back-propagation (BP) artificial neural networks: Application of standard BP and pseudo Mac Laurin power series BP techniques
M Ilunga, D Stephenson
Water SA , 2005,
Abstract: Hydrological data (e.g. rainfall, river flow data) are used in water resource planning and management. Sometimes hydrological time series have gaps or are incomplete, or are not of good quality or are not of sufficient length. This problem seems to be more prevalent in developing countries than in developed countries. In this paper, feed-forward artificial neural networks (ANNs) techniques are used for streamflow data infilling. The standard back-propagation (BP) technique with a sigmoid activation function is used. Besides this technique, the BP technique with an approximation of the sigmoid function by pseudo Mac Laurin power series Order 1 and Order 2 derivatives, as introduced in this paper, is also used. Empirical comparisons of the predictive accuracy, in terms of root mean square error of predictions (RMSEp), are then made. A preliminary case study in South Africa (i.e. using the Diepkloof (control) gauge on the Wonderboomspruit River and the Molteno (target) gauge on Stormbergspruit River in the River summer rainfall catchment) was then done. Generally, this demonstrated that the standard BP technique performed just slightly better than the pseudo BP Mac Laurin Orders 1 and 2 techniques when using mean values of seasonal data. However, the pseudo Mac Laurin approximation power series of the sigmoid function did not show any substantial impact on the accuracy of the estimated missing values at the Molteno gauge. Thus, all three the standard BP and pseudo BP Mac Laurin orders 1 and 2 techniques could be used to fill in the missing values at the Molteno gauge. It was also observed that a linear regression could describe a strong relationship between the gap size (0 to 30 %) and the expected RMSEp (thus accuracy) for the three techniques used here. Recommendations for further work on these techniques include their application to other flow regimes (e.g. 4-month seasons, mean annual extreme, etc) and to streamflow series of a winter rainfall region. Water SA Vol. 31 (2) 2005: pp.171-176
Knowledge, Attitude, Practice of the Kamina City Population in the Democratic Republic of Congo on Voluntary Screening of HIV/Aids  [PDF]
Ilunga Masuku Anany
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104479
Abstract:
HIV/AIDS infection, although of particular gravity in developing countries, today affects all countries of the world. Among the means used to combat this pathology is voluntary testing, which is both an effective and economical strategy for facilitating behavior change. This study allowed us to contribute to the improvement of the knowledge, attitude and practice of the population on voluntary HIV/AIDS testing. This is a cross-sectional study of the knowledge, attitude and practice of the Kamina population on voluntary testing for HIV infection. A total of 384 people from 82 Ward in Kamina was interviewed using a pre-established questionnaire. Ninety-six respondents (25%) said they knew about voluntary testing; Of these, 79% or 82.3% thought knowing their HIV status was the only benefit of voluntary testing. The level of knowledge about voluntary testing appears to be low among the population studied; there are still misunderstandings about the benefits of voluntary testing and the means of prevention. This result could be used as reference data in the revitalization of a voluntary testing center and the protection of mother-to-child transmission (PMTCT) in our environment.
Assessing the resistance and bioremediation ability of selected bacterial and protozoan species to heavy metals in metal-rich industrial wastewater
Kamika Ilunga,Momba Maggy NB
BMC Microbiology , 2013, DOI: 10.1186/1471-2180-13-28
Abstract: Background Heavy-metals exert considerable stress on the environment worldwide. This study assessed the resistance to and bioremediation of heavy-metals by selected protozoan and bacterial species in highly polluted industrial-wastewater. Specific variables (i.e. chemical oxygen demand, pH, dissolved oxygen) and the growth/die-off-rates of test organisms were measured using standard methods. Heavy-metal removals were determined in biomass and supernatant by the Inductively Couple Plasma Optical Emission Spectrometer. A parallel experiment was performed with dead microbial cells to assess the biosorption ability of test isolates. Results The results revealed that the industrial-wastewater samples were highly polluted with heavy-metal concentrations exceeding by far the maximum limits (in mg/l) of 0.05-Co, 0.2-Ni, 0.1-Mn, 0.1-V, 0.01-Pb, 0.01-Cu, 0.1-Zn and 0.005-Cd, prescribed by the UN-FAO. Industrial-wastewater had no major effects on Pseudomonas putida, Bacillus licheniformis and Peranema sp. (growth rates up to 1.81, 1.45 and 1.43 d-1, respectively) compared to other test isolates. This was also revealed with significant COD increases (p < 0.05) in culture media inoculated with living bacterial isolates (over 100%) compared to protozoan isolates (up to 24% increase). Living Pseudomonas putida demonstrated the highest removal rates of heavy metals (Co-71%, Ni-51%, Mn-45%, V-83%, Pb-96%, Ti-100% and Cu-49%) followed by Bacillus licheniformis (Al-23% and Zn-53%) and Peranema sp. (Cd-42%). None of the dead cells were able to remove more than 25% of the heavy metals. Bacterial isolates contained the genes copC, chrB, cnrA3 and nccA encoding the resistance to Cu, Cr, Co-Ni and Cd-Ni-Co, respectively. Protozoan isolates contained only the genes encoding Cu and Cr resistance (copC and chrB genes). Peranema sp. was the only protozoan isolate which had an additional resistant gene cnrA3 encoding Co-Ni resistance. Conclusion Significant differences (p < 0.05) observed between dead and living microbial cells for metal-removal and the presence of certain metal-resistant genes indicated that the selected microbial isolates used both passive (biosorptive) and active (bioaccumulation) mechanisms to remove heavy metals from industrial wastewater. This study advocates the use of Peranema sp. as a potential candidate for the bioremediation of heavy-metals in wastewater treatment, in addition to Pseudomonas putida and Bacillus licheniformis.
Enhanced lepton flavour violation in the supersymmetric inverse seesaw
Weiland, Cedric
High Energy Physics - Phenomenology , 2013,
Abstract: In minimal supersymmetric seesaw models, the contribution to lepton flavour violation from Z-penguins is usually negligible. In this study, we consider the supersymmetric inverse seesaw and show that, in this case, the Z-penguin contribution dominates in several lepton flavour violating observables due to the low scale of the inverse seesaw mechanism. Among the observables considered, we find that the most constraining one is the muon to electron conversion rate which is already restricting the otherwise allowed parameter space of the model. Moreover, in this framework, the Z-penguins exhibit a non-decoupling behaviour, which has previously been noticed in lepton flavour violating Higgs decays.
Theta+ width estimation with nonzero momentum transfer
Cedric, Lorce
High Energy Physics - Phenomenology , 2007,
Abstract: We have used the light-cone formulation of Chiral-Quark Soliton Model to estimate the width of the lightest pentaquark Theta+. We have found that the effect of nonzero momentum transfer is important and reduces drastically the width to about 0.43 MeV. This means that this effect is a piece of the small width puzzle of exotic baryons.
A bijection between planar constellations and some colored Lagrangian trees
Cedric Chauve
Discrete Mathematics & Theoretical Computer Science , 2003,
Abstract: Constellations are colored planar maps that generalize different families of maps (planar maps, bipartite planar maps, bi-Eulerian planar maps, planar cacti, ...) and are strongly related to factorizations of permutations. They were recently studied by Bousquet-Mélou and Schaeffer who describe a correspondence between these maps and a family of trees, called Eulerian trees. In this paper, we derive from their result a relationship between planar constellations and another family of trees, called stellar trees. This correspondence generalizes a well known result for planar cacti, and shows that planar constellations are colored Lagrangian objects (that is objects that can be enumerated by the Good-Lagrange formula). We then deduce from this result a new formula for the number of planar constellations having a given face distribution, different from the formula one can derive from the results of Bousquet-Mélou and Schaeffer, along with systems of functional equations for the generating functions of bipartite and bi-Eulerian planar maps enumerated according to the partition of faces and vertices.
Mathematical Analysis of Genomic Evolution
Cedric Green
Undergraduate Journal of Mathematical Modeling : One + Two , 2011, DOI: 10.5038/2326-3652.3.2.7
Abstract: Changes in nucleotide sequences, or mutations, accumulate from generation to generation in the genomes of all living organisms. The mutations can be advantageous, deleterious, or neutral. The goal of this project is to determine the amount of advantageous mutations it takes to get human (Homo sapiens) DNA from the DNA of genetically distinct organisms. We do this by collecting the genomic data of such organisms, and estimating the amount of mutations it takes to transform yeast (Saccharomyces cerevisiae) DNA to the DNA of a human. We calculate the typical number of mutations occurring annually through the organism's average life span and the average mutation rate. This allows us to determine the total number of mutations as well as the probability of advantageous mutations. Not surprisingly, this probability proves to be fairly small. A more precise estimate can be determined by accounting for the differences in the chromosomal structure and phenomena like horizontal gene transfer.
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