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Search Results: 1 - 10 of 19875 matches for " André Mutombo Kabamba "
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Children Family Break and Access to Health Care Law: What Knowledge and Attitudes in the City of Mbujimayi Democratic Republic of Congo  [PDF]
Anaclet Mbuyi Mishinda, Jean Christophe Bukasa Tshilonda, Guillaume Kabongo Mwamba, Valentin Kabambi Bukasa, André Mutombo Kabamba, Stany Wembonyama Okitotsho
Open Access Library Journal (OALib Journal) , 2019, DOI: 10.4236/oalib.1105386
Abstract:
Introduction: In the Democratic Republic of Congo, the right to health care is recognized to all children at both constitutional principles of the law on protection of the latter. Despite the existence of these instruments, access to health care continues to be a problem again. Thus, our study focuses on children with family breakdown and the right of access to health care: What about knowledge and attitudes in Mbujimayi/Democratic Republic of Congo. Methods: The study is the quantitative correlational type and focused on 600 children from broken homes in the city of Mbujimayi. She performed for a period of four months which is from 18 March to 18 July 2018. A questionnaire consisting of closed and open questions was used as an instrument for data collection. The Epi-Info software version 3.5 in 2010 was used for data analysis. Results: The majority of children in family breakdown is composed of those with more than 14 years with (52.8%); the average age is 15.5 years; 67.8% are male; 53% live east of the City of Mbujimayi; 60.5% are non-monogamous families; 53.8% are without levels; 67.5% are Christian and 71% cannot read or write. Conclusion: Knowledge of the right of access to health care and the question that access to health care den is an exclusive right granted to children from broken families is low. The attitude of children from broken front right of access to health care Mbujimayi is negative. So to improve this knowledge and attitudes, we suggest that parents support their responsibilities by supervising their children. Social actors and other stakeholders in the protection of children, help them reintegrate into society by providing them with a minimum of education/training to continue to do their fieldwork by sensitizing these children on their rights and especially on the right of access to health care to the Congolese State.
Caesarean in Rural Environment of Eastern Kasai (Dr Congo): Evolution of Caesarean Section Rates in Kasansa and Tshilenge  [PDF]
André Guillaume Kabongo, Dady Kalala, Jean Christophe Bukasa, Deca Blood Banza, Christine Kankologo, André Mutombo, Stany Wembonyama
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104564
Abstract:
Objective: To analyze the evolution monthly of the disastrous Caesarean and to their influence one maternal mortality and infantile in the General hospitals of reference of Kasansa and Tshilenge. Methods: Descriptive retrospective study Bi-centric related to 434 Caesareans carried out to the maternity of the general hospital of reference of Kasansa and that of Tshilenge during years 2015 and 2016. Our dated were collected in the obstetric files, registers of the maternity and the operating room. Public garden Ki square is used to compare it with the percentages and T of Student for the comparison of the averages in two maternities, and the percentage of increase gold reduction was calculated with the formulated of growth used also in economy. Results: Two maternities received respectively in 2015, 549 and 227 childbirth, among which 136 Caesareans carried out with Kasansa and 72 in Tshilenge. During the Disastrous months (from January to December), Caesareans dropped by 68.2%, (10.7% to 3.4%) in Kasansa and of 71.1% with Tshilenge (from 19.7% to 2.8%). In 2016, 702 childbirth and 109 Caesareans with Kasansa and 376 childbirth and 117 Caesareans with Tshilenge. Disastrous Caesarean dropped by 7% (from 12.8% to 11.9%) with Kasansa and raised of 143.3% with Tshilenge (from 6% to 14.6%). Perinatal mortality dropped by 69.5% in 2015 and 51.8% in 2016 and maternal mortality dropped respectively by 100% in 2015 and in 2016 of 35.9%. Conclusion: During 24 months concerned with the study (of January 2015 with December 2016), the practice of the Caesarean Knew has fell into the two structures except for maternity of Tshilenge 2016. Thus, the improvement of the maternal forecast master keys rather by year improvement of the quality of the obstetric assumption of responsibility but not by the increase amongst operational childbirth. Thesis results encourage custom to analyze the participation of the various disastrous indications in the variation of the Caesarean in this medium.
Editorial - Caring for Children with Sickle Cell Disease
JD Kabamba
Medical Journal of Zambia , 2011,
Abstract: No
Frontières en Afrique centrale : gage de souveraineté ?
Bob Kabamba
Fédéralisme-Régionalisme , 2004,
Abstract:
Et demain, le Congo ?
Bob Kabamba
Fédéralisme-Régionalisme , 2005,
Abstract:
Avant-propos. La mise en uvre d’une constitution régionaliste
Bob Kabamba
Fédéralisme-Régionalisme , 2007,
Abstract:
Toward Evolution Strategies Application in Automatic Polyphonic Music Transcription using Electronic Synthesis
Herve Kabamba Mbikayi
International Journal of Advanced Computer Sciences and Applications , 2013,
Abstract: We present in this paper a new approach for polyphonic music transcription using evolution strategies (ES). Automatic music transcription is a complex process that still remains an open challenge. Using an audio signal to be transcribed as target for our ES, information needed to generate a MIDI file can be extracted from this latter one. Many techniques presented in the literature at present exist and a few of them have applied evolutionary algorithms to address this problem in the context of considering it as a search space problem. However, ES have never been applied until now. The experiments showed that by using these machines learning tools, some shortcomings presented by other evolutionary algorithms based approaches for transcription can be solved. They include the computation cost and the time for convergence. As evolution strategies use self-adapting parameters, we show in this paper that by correctly tuning the value of its strategy parameter that controls the standard deviation, a fast convergence can be triggered toward the optima, which from the results performs the transcription of the music with good accuracy and in a short time. In the same context, the computation task is tackled using parallelization techniques thus reducing the computation time and the transcription time in the overall
An Evolution Strategy Approach toward Rule-Set Generation for Network Intrusion Detection Systems (IDS)
Herve Kabamba Mbikayi
International Journal of Soft Computing & Engineering , 2012,
Abstract: With the increasing number of intrusions in systems’ and networks’ infrastructures, Intrusion Detection Systems (IDS) have become an active area of research to develop reliable and effective solutions to detect and counter them. The use of Evolutionary Algorithms in IDS has proved its maturity over the times. Although most of the research works have been based on the use of genetic algorithms in IDS, this paper presents an approach toward the generation of rules for the identification of anomalous connections using evolution Strategies . The emphasis is given on how the problem can be modeled into ES primitives and how the fitness of the population can be evaluated in order to find the local optima, therefore resulting in an optimal rules that can be used for detecting intrusions in intrusion detection systems
Conclusions
Bob Kabamba,Pierre Verjans
Fédéralisme-Régionalisme , 2005,
Abstract:
An Evolution Strategy Approach toward Rule-set Generation for Network Intrusion Detection Systems (IDS)
Herve Kabamba Mbikayi
Computer Science , 2012,
Abstract: With the increasing number of intrusions in system and network infrastructures, Intrusion Detection Systems (IDS) have become an active area of research to develop reliable and effective solutions to detect and counter them. The use of Evolutionary Algorithms in IDS has proved its maturity over the times. Although most of the research works have been based on the use of genetic algorithms in IDS, this paper presents an approach toward the generation of rules for the identification of anomalous connections using evolution strategies . The emphasis is given on how the problem can be modeled into ES primitives and how the fitness of the population can be evaluated in order to find the local optima, therefore resulting in optimal rules that can be used for detecting intrusions in intrusion detection systems.
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