1,723,189 research outputs found
Correction to: Determinants of prenatal care use and HIV testing during pregnancy: a population-based, cross-sectional study of 7080 women of reproductive age in Mozambique
No full textFollowing publication of the original article [1], we have been notified that the name of the author two was spelled incorrectly as Oladimeji Olarewaju, when the correct spelling is Oladimeji, Olanrewaju
Slag detachability from submerged arc welds
No full textThesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 1987.MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE.Bibliography: leaves 78-80.by Adebisi Oladimeji Oladipupo.Sc.D
AWS Honeycode - Oladimeji Olaniyan
No full textAmazon Web Services Honeycode is a product which utilizes Low code/No-code technology to enable people who lack the technical know-how build mobile applications, via the provision of application templates. These templates allow users to customize and build web applications to suit their individual use cases and improve efficiency. They are designed to help them save time and costs involved with the building of applications. These templates are easily shared with members on their teams. My role is to deliver ready-to-use templates within Event Management, while driving 1) Template strategy; 2) Research; and 3) Build of template
Phenotypic Diversities Of Four Populations Of Clarias Gariepinus (Siluriformes, Clariidae) Obtained From Ogun And Ondo State Waterbodies In South-Western Nigeria
No full textOla-Oladimeji, F. A., Oso, J. A., Oladimeji, T. E., Idowu, E. O., Adeleke, K., Urihe, F. O. (2017): Phenotypic Diversities Of Four Populations Of Clarias Gariepinus (Siluriformes, Clariidae) Obtained From Ogun And Ondo State Waterbodies In South-Western Nigeria. Vestnik Zoologii 51 (4): 285-294, DOI: 10.1515/vzoo-2017-0034, URL: http://dx.doi.org/10.1515/vzoo-2017-003
Oladimeji Olaniyan Amazon Honeycode Event Management
No full textAmazon Web Services Honeycode is a product which utilizes Low code/No-code technology to enable people who lack the technical know-how build mobile applications, via the provision of application templates. These templates allow users to customize and build web applications to suit their individual use cases and improve efficiency. They are designed to help them save time and costs involved with the building of applications.These templates are easily shared with members on their teams. My role is to deliver ready-to-use templates within Event Management, while driving 1) Template strategy; 2) Research; and 3) The build of template
The Project EOXPOSURE: A Joint European and South American Effort to Make Urban Areas Healtier and More Secure Thanks to Spaceborne Earth Observation
No full textThe goal of the H2020 EOxposure project is to build tools to quantify the exposure of population and economic assets to multiple risks using novel information layers from current and future Earth Observation (EO) missions, as well as the growing sensor web on the ground. The project sits on three main pillars: housing condition mapping, disease spread proxies, and physical proxies to security threats. The following paragraphs provide some explanation about each pillar.
Housing condition mapping
To develop a tool for Housing Condition Mapping (HOCOM), based on open source software and able to exploit data from multiple EO sources, airborne/UAV platform and ancillary economic/social data sets.
Disease spread proxies
To develop a tool to extract maps of disease spread proxies (DISESP), based on open source software and able to exploit data from socio/economic data sets and geospatial information, assisted by additional information from multiple EO source, airborne/UAV platforms and ground sensors.
Physical proxies to security threats
To develop a tool to extract maps of physical quantities (PHYMAP) by combining and exploiting at the most accurate spatial scale observations by multiple sources, including spaceborne/airborne/UAV platforms.
The presentation will provide insights on the status of the projects and its future developments
Modeling Urban Areas Epidemiological Risk Exposure Using Multispectral Spaceborne Data
Get PDFIn recent decades, the world has been fast urbanizing. More than half of the world’s human population now live in urban areas. Such high density of urban population is resulting in air and water pollution, land degradation, and infectious diseases spread risks prominence. However, the increasing quality (in terms of finer spatial and temporal resolution)and quantity of Earth Observation (EO) satellite data provide new perspectives for analysing these phenomena.
Within the specific domain of epidemiological risks dynamics in urban areas which is the focus of this work, the use of multispectral optical EO sensor data has created new opportunities. These data through their visible, near, mid, far and thermal infrared bands provide planetary-‐scale access to environmental variables such as temperature, humidity, and vegetation types, location and conditions. Since these environmental variables affect the development of vectors causing infectious disease (e.g., mosquitoes), there is the possibility to use EO data to estimate them, and obtain disease risk models.
The Ae. aegypti mosquito species transmits Zika, Dengue, and Chikungunya, diseases widespread in more than 100 world countries, and is concentrated in urban areas. The development of this vector depends significantly on local environmental temperature, humidity, precipitation and vegetation. In this regard, multispectral EO data can provide globally consistent and scalable sources to obtain the required environmental variable inputs, and extract significant and consistent monitoring and forecasting models for vector population.
The work reported in this thesis about this topic has led to the following results:
1) A method to map vegetation types in urban areas at high spatial resolution using Sentinel2 multispectral EO data. The results show an improvement in the quality of the resulting vegetation maps with respect to what is available by means of state-of-the-art techniques.
2) A method that combines EO-based spectral indices, temperature layers, and precipitation measurement to model the temporal evolution of the local mean Ae. aegypti population. The approach leverages the random forest (RF) machine learning (ML) technique and its embedded nonlinear features importance ranking (mean decrease impurity, MDI) to rank the effects of environmental variables and explain the resulting model.
3) A weighted generalized linear modeling (GLM) technique to predict Ae. aegypti population using multispectral EO data covariate inputs. GLMs are generally simple to implement and explain, but do not provide the same level of prediction quality as ML methods. The proposed weighted GLM compares well with ML techniques in quality, and provides capability for more explicitly interpretation of the results.
4) A recurrent neural network (RNN) technique for spatio‐temporal modeling of Ae. Aegypti population at the urban block level using multispectral EO data as inputs. This study is needed because spatial models obscure seasonality effects while temporal model are blind to spatial changes in micro-climates. The proposed technique shows great promise with respect to the use of free multispectral EO data for spatio-temporal epidemiological modeling.
All the proposed techniques have been applied in the Latin American region where the risk of Ae. aegypti vector transmitted diseases are the highest in the world. They were validated thanks to the long term partnership with the University of Alagoas in Maceio (Brazil) and the Brazilian company: ECOVEC
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Critical Pragmatic Analysis of some Selected Songs of Ilerioluwa Oladimeji Aloba (MohBad)
Get PDFThis study investigates a critical pragmatic analysis of some selected songs of Ilerioluwa Oladimeji Aloba (MohBad). Specifically, the study focuses on Speech Act analysis of the selected songs and ascertains the ways speech acts are expressed in these songs. Two research questions: What speech acts are represented in Mohbad’s songs? And to what extent are the tenets of speech acts expressed in Mohbad’s Songs? guided this study. The theory of the Pragmatic Act introduced by Jacob Mey (2001) is used as the theoretical foundation of the study. The research is categorized as descriptive qualitative research. The data for the study consists of selected songs of Ilerioluwa Oladimeji Aloba: ‘Ask About Me’, ‘Feel Good’ and ‘Peace’. These songs were selected based on the complex and multifaceted narratives which mirror the songwriter’s life and struggles. The songs’ lyrics are made available and readily accessed from music streaming platforms like Spotify, Apple Music, and YouTube for lyric references. The findings of the study reveal that the lyrics of Aloba’s songs show a variety of speech acts such as assertions, declarations, interrogatives, expressive utterances and commission, all of which help reveal his journey from hardship to fame and how he accomplished acceptance, his challenges and resilience, his defiance and self-assuredness; and his boldness in engaging his listeners. These have revealed the depth of meaning and intention of the songwriter beyond the lyrics of the songs
- …
