Ibrahima Fall

Icacina senegalensis (Icacinaceae), traditionally used for the treatment of malaria, inhibits in vitro Plasmodium falciparum growth without host cell toxicity

BackgroundWith the aim of discovering new natural active extracts against malaria parasites, Icacina senegalensis was selected after an ethnopharmacological survey conducted on plants used in traditional malaria treatment in Senegal.MethodsDifferent concentrations of the plant extract and fractions were tested on synchronized Plasmodium falciparum cultures at the ring stage using the parasite lactate dehydrogenase assay. Their haemolytic activity and in vitro cytoxicity were evaluated. The chromatographic profiles of active fractions were also established.ResultsThe plant extract and fractions revealed anti-plasmodial activity (IC50 < 5 μg/mL) with no toxicity (Selectivity indexes >10). The dichloromethane fraction showed stronger anti-plasmodial activity than the total extract.ConclusionAnti-plasmodial activity and toxicity of I. senegalensis are reported for the first time and showed promising results in malaria field research.

Megamodel-based Management of Dynamic Tool Integration in Complex Software Systems.

The development of complex software systems is more and more based on the composition and integration of autonomous component systems. This can be done either statically (proactive approach) at development-time or dynamically through a reactive approach in which a new composite system can possibly be created on-demand and/or at run-time from existing systems. With the aim of constructing and managing such complex and reactive software systems, we propose a megamodelbased environment supporting dynamic tool integration. Such an environment must therefore be consistent at any time (i.e. before, during and after an integration) and should also have to exhibit some self-* properties (such self management, selfhealing and self-configuration). In order to meet these challenges we propose the use of Hoare’s Axiomatic Semantics and some inference rules to maintain the integrity of the megamodel and its components. For that we have defined a formal-safe execution as well as an execution semantic for each operation likely to modify the megamodel contents.

Laparoscopic Appendectomy in Children: Preliminary Study in Pediatric Hospital Albert Royer, Dakar

Appendiceal pathologys management has benefited in recent years from the advent of laparoscopic surgery. This study is to make a preliminary assessment of laparoscopic management of acute and complicated appendicitis in children after a few months of practice at the University Hospital Albert Royer, Dakar. This is a retrospective study of 22 cases of patients, all operated on by the same surgeon. The parameters studied were age, sex, clinical data and laboratory features, radiological data, and results of surgical treatment. The mean age of patients was 9.5 years with a male predominance. The series includes 14 cases of acute appendicitis and 8 complicated cases. Appendectomy anterograde is practiced in 81% of cases. Appendectomy was associated with peritoneal wash in 17 patients including 9 cases of acute appendicitis. Drainage of Douglas pouch is performed in 2 patients with complicated appendicitis; the average production was 300 cc of turbid liquids and any complications were not founded. An abscess of Douglas pouch is noted in 2 patients with complicated appendicitis undrained. These Douglas abscesses were treated medically. No conversion of laparotomy was performed in the series. After an average of 8 months no other problems were noted.

Ontological Modeling Approach for Statistical Databases Publication in Linked Open Data

At the level of the National Statistical Institutes (NSI), there is a large volume of data which is generally in a format which conditions the method of publication of the information they contain. Data collection projects for households or businesses are increasingly integrating into their implementation phase, a platform for results dissemination. If not, it is the NSI Web portals that are often used for dissemination. Thus, these dissemination methods previously used, and do not promote rapid access to information and especially does not offer the option of being able to link data for in-depth processing. In this paper, we present an approach to modeling these data to publish them in a format intended for the Semantic Web. Our objective is to be able to publish all this data in a single platform and offer the option to link with other external data sources. An application of the approach will be made on data from major national surveys such as the one on employment, poverty, child labor, and the general census of the population of Senegal.

The “Y- to-V” Plastic Surgery: A Solution of Skin Excess Following Herniorrhaphy of Pedunculated Umbilical Hernia in the Infant and the Child

We report our experience of umbilical cutaneous “Y-to-V” plasty in surgical hernia repair about the infant and the child in Senegal. The procedure stands for hernia with diameters included in 2–5 cm and a height or cutaneous projection of at least 1.5 cm. The operation starts with pencil drawings and follows a primary incision of the vertical branch of the “Y” and a circular subcutaneous undermining. Then, herniorrhaphy is performed, and umbilical skin excess resected according to lateral twin isosceles triangle flaps, making the “V.” We perform subcutaneous quilting sutures of the umbilical residual flap and intradermal running suture of the wound. Aesthetic variables such as scar quality, shape, and depth of the new umbilical valley, aspects of peripheral landscape, are itemized and analyzed. The authors of this chapter highlight the need for aesthetic surgery together with parietal defect repair and give precise different umbilical cosmetic criteria.

Megamodel Consistency Management at Runtime

This paper addresses the problem of ensuring consistency, correctness and other properties in dynamically changing software systems. The approach uses a Megamodel that represents the current state of the system at runtime including some rules. These rules are formulated as Hoare-Triples and allow to check whether modifications to the software system result in a consistent state, otherwise to fix changes that are likely to violate the megamodel integrity.

Definition of the database anonymization method for open data

In their mission of collecting, analyzing and disseminating statistic data, the National Institutes of Statistics are more and more confronted with personal data management. With the advent of the “Open Data” [1], the need for data diffusion and to establish a link between databases created during the surveys and censuses, are necessary for planning, monitoring and activities evaluation, in a context marked by a will of the official authorities to accelerate the economic growth [2]. For that matter, this article describes a methodology to anonymize database collected from households or companies, limiting the risk of information disclosure while preserving as much as possible the quality of the data resulting from the anonymization process.

A methodology for prior management of temporal data quality in a data mining process

In Data Mining (DM) projects, more specifically in the Data Understanding and the Data Preparation phases, several techniques found in the literature are used to detect and handle data quality problems such as missing data, outliers, inconsistent data or time-variant data. However, the main limitation in the application of these techniques is the complexity caused by a lack of anticipation in the detection and resolution of data quality problems. Then, a DM process model designed for the prior management of data quality was recently proposed. It has the distinctive feature of having linked the DM process and the Software Engineering (SE) one by combining them in parallel. However, authors of that work [1] have just specified what should be done, not how it should be. The present research work is an improvement of that DM process model. It adds to it a methodology that indicates in a concrete way a guideline on how to combine the SE process and the DM one to anticipate and manage data quality problems that can be found during the mining process. This work will specifically address the case of temporal data. The main contribution of this methodology is the definition, in concrete terms, of how to anticipate and automate all activities necessary to remove temporal data quality problems in a mining process.

Giant Ameloblastoma of the Mandible: An Exceptional Case Reports in the Early Childhood

Ameloblastoma is an odontogenic epithelium tumor very rare in children. It is histologically benign with locally extensive potential justifying the nickname “benign tumor with local malignancy”. The aim of our study was to start from a clinical case data and tried to bring out key elements of a specific therapeutic approach in children. We report the observation of a 5 y old girl, weighing 16 kg with a height of 1.05 m and presenting a voluminous tumor of the left mandible. The history taking noted the up raising marked by a progressive painless increase in size of the mandible without dental malocclusion, five months earlier. In her background check we noticed complete vaccination, heterozygote sickle cell disease at her 59 y old father. The examination found asymmetry of the lower part of the face and a voluminous mass blowing the alveolar rampart of the left mandible. The medical imaging evoked the diagnosis and histology after excision confirmed ameloblastoma. Then, reconstruction of the loss of bone by an inferior pedicled Facial Artery Muscular Mucosal (FAMM) flap was performed in the 24th postoperative day. There wasn’t distant recurrence of the tumor after 4 y follow up. The clinical feature is the age of our patient, the giant aspect of the tumor at the diagnosis time and the recourse to the FAMM flap for filling bone loss.

Activity failure prediction based on process mining

Based on the state of the art of process mining, we can conclude that quality characteristics (failure rate metrics or loops) are poorly represented or absent in most predictive models that can be found in the literature. The main goal of this present research work is to analyze how to learn prediction model defining failure as response variable. A model of this type can be used for active real-time-controlling (e. g. through the reassignment of workflow activities based on prediction results) or for the automated support of redesign (i.e., prediction results are transformed in software requirements used to implement process improvements). The proposed methodology is based on the application of a data mining process because the objective of this work can be considered as a data mining goal.