La Flore Ptéridologique de Quelques Endroits Humides de la Région de Kédougou (Sénégal)

The study of the Pteridophyte flora of some wetlands in the Kedougou region of the Senegal Republic is the subject of this study. This analysis is based on the herbarium material of the pteridological flora harvested in this region and preserved in the herbaria of various institutions of IFAN, Dakar and Paris (P) also on the bibliographic data. This leads to a field mission to re-evaluate pteridophyte flora in this region. The results obtained show that the diversity of pteridophyte in the region of Kedougou is 11 species except for the very young species whose identification could not be made. These species grouped into 7 genera belong to 5 families of which the best represented are the Pteridaceae with 4 species. All the harvested and identified species were encountered in the Herbarium visited. Thus, in order to facilitate access to their identification, it is necessary to propose the tool which means that the document conforms to the identification key on the paper and the vegetative characters have been favored. Most of the pteridophyte were harvested at the Dindefelo cascade with an abundance of the species Adiantum philippense L. which is a species with large distribution because it is found in almost all the prospected places. All of these species are restricted to wetlands and shaded areas with occupation of all habitats (terrestrial, aquatic, saxicolous and epiphytic)

Impact of Using Gagne’s Nine Events of Instruction on Student’s Academic Achievement and Satisfaction in an Online English Course for French Speakers

This dissertation explored the effect of Gagne\u27s nine events of instruction on student academic achievement and satisfaction during an online English class for French speakers. A group of 30 Facebook users from French-speaking countries in North and Sub-Saharan Africa participated in the research. They were divided randomly into two groups: one receiving traditional instruction through an asynchronous online lecture with PowerPoint presentation, and the other using instruction utilizing Gagne\u27s nine events of instruction integrated with an LMS designed for this purpose. This mixed methods study explored several hypotheses related to academic achievement and satisfaction in the two groups. While the quantitative data did not show significant differences between the two groups, a highly significant difference was noted in Event 7 (providing feedback) indicating that feedback was mentioned more frequently in the treatment group. Qualitative data showed that participants from both groups enjoyed the course, felt satisfied, and experienced improvements in their English abilities. Although the study had some limitations, such as the small sample size and specific focus of assessment tools, the findings offer important insights that can enhance the design of future courses and help educators better understand their students\u27 preferences in online English courses for French speakers in the African context. While no significant statistical differences were observed, it is still worth considering the potential value of Gagne\u27s nine events of instruction for specific learners. This research contributes to improving online language xi education for French speakers and empowers educators to make informed decisions regarding course design and teaching methods to enhance the effectiveness of online instruction

Evolution Science and Imago Dei: A Richer and More Robust Treatment of Theological Anthropology

In my thesis, Evolution Science and the Imago Dei: A Richer and more Robust Treatment of Theological Anthropology, the first chapter demonstrates, from the historical analysis of the content attributed to the concept imago Dei over the centuries, that different ages in the Church have interpreted the content of that expression in different ways. From this historical analysis that the imago Dei assumes different meanings at different points in history, I justify my expectation that the term is open to ever new meanings. With the second chapter, by exploring the evolutionary contribution to the emergence of modern human, I establish the similarity and divergence between humans and nonhumans, genetically and phenotypically. In the third chapter, I criticize the exclusive reference of the imago Dei to only humans. Even though humans continue to be special and distinct from other species, human species has a lot in common with nonhuman species. Evolutionary science helps demonstrate that what our ancestors in faith thought was unique to humans is not so. My claim is that every living species is imago Dei in different ways. Every time that there is similarity between species, there is imago Dei, and every time that there is divergence, there is imago Dei in a different way. The divergence is not a difference between members of the same species, or else there would be in the same species so many imago Dei in different ways. Rather, the divergence is the speciation, that is, the difference between species. Because we are all imago Dei, we have a purpose which is not only individual, self-centered, or universal but which is divine; therefore, the meaning of our life does not end in this life but is opened to eschatology. Because we are imago Dei, we are called to be in solidarity and to live in sincerity with each other. Solidarity, rather than having anything to do with pity or charity, affirms that as imago Dei, we all have value in the eyes of our God

Open Data Explorer:An End-to-end Tool for Data Storytelling using Open Data

Enabling users to better understand government actions is one reason why governments have sought to open their data to the public. Data storytelling tools help to achieve this goal by facilitating users to turn data into stories. However, existing tools are not able to provide the necessary features to overcome the barriers users face at different data storytelling stages. This paper provides findings regarding the features in the design of these data storytelling tools in the open data context and also presents a generic and end-to-end tool called ODE, which helps users through the different data storytelling stages. To achieve the paper’s objectives, a literature review was first conducted to collect the features needed for the different data storytelling stages. Then, the identified features were integrated into ODE and its effectiveness in helping users to easily turn data into stories was demonstrated through an evaluation involving 11 users

Open Data Explorer: An End-to-end Tool for Data Storytelling using Open Data

Enabling users to better understand government actions is one reason why governments have sought to open their data to the public. Data storytelling tools help to achieve this goal by facilitating users to turn data into stories. However, existing tools are not able to provide the necessary features to overcome the barriers users face at different data storytelling stages. This paper provides findings regarding the features in the design of these data storytelling tools in the open data context and also presents a generic and end-to-end tool called ODE, which helps users through the different data storytelling stages. To achieve the paper’s objectives, a literature review was first conducted to collect the features needed for the different data storytelling stages. Then, the identified features were integrated into ODE and its effectiveness in helping users to easily turn data into stories was demonstrated through an evaluation involving 11 users

Modelling and characterization of fine Particulate Matter dynamics in Bujumbura using low cost sensors

Air pollution is a result of multiple sources including both natural and anthropogenic activities. The rapid urbanization of the cities such as Bujumbura economic capital of Burundi, is one of these factors. The very first characterization of the spatio-temporal variability of PM2.5 in Bujumbura and the forecasting of PM2.5 concentration have been conducted in this paper using data collected during a year, from august 2022 to august 2023, by low cost sensors installed in Bujumbura city. For each commune, an hourly, daily and seasonal analysis were carried out and the results showed that the mass concentrations of PM2.5 in the three municipalities differ from one commune to another. The average hourly and annual PM2.5 concentrations exceed the World Health Organization standards. The range is between 28.3 and 35.0 microgram/m3 . In order to make prediction of PM2.5 concentration, an investigation of RNN with Long Short Term Memory (LSTM) has been undertaken