Feven Desta
YOU?
Author Swipe
View article: Exploring the experiences and strategies for promoting the well-being of first-time Black Canadian women transitioning to motherhood: A community-based participatory study protocol
Exploring the experiences and strategies for promoting the well-being of first-time Black Canadian women transitioning to motherhood: A community-based participatory study protocol Open
Background: The arrival of a first child is often a transformative and joyful period filled with excitement, but it can also be an overwhelming and isolating experience, especially for first-time mothers facing structural and socio-economi…
View article: Identifying and Taking Action on the Protective and Risk Factors of Black Maternal Mental Health: Protocol for Community-Based Participatory Study
Identifying and Taking Action on the Protective and Risk Factors of Black Maternal Mental Health: Protocol for Community-Based Participatory Study Open
Background Maternal mental health disorders are associated with adverse maternal and infant health outcomes. Despite advances in screening and treatment, disparities in maternal mental health disorders continue to disproportionately affect…
View article: Multi-Sensor Approach for Enhanced Characterization of Lithium Ore
Multi-Sensor Approach for Enhanced Characterization of Lithium Ore Open
Global trends indicate that the demand for many Critical Raw Materials (CRMs) and Strategic Raw Materials (SRMs) is rising and is expected to increase dramatically in the near future. These minerals are essential for key industries, includ…
View article: Identifying and Taking Action on the Protective and Risks Factors of Black Maternal Mental Health: A Community-Based Participatory Research Study Protocol (Preprint)
Identifying and Taking Action on the Protective and Risks Factors of Black Maternal Mental Health: A Community-Based Participatory Research Study Protocol (Preprint) Open
UNSTRUCTURED Maternal mental health (MMH) disorders are associated with adverse maternal and infant health outcomes. Despite advances in screening and treatment, disparities in MMH disorders continue to disproportionately affect Black mot…
View article: Multi-Level Characterization of Lignite Mine Waste by the Integration of Wide Wavelength Range Infrared Spectroscopy
Multi-Level Characterization of Lignite Mine Waste by the Integration of Wide Wavelength Range Infrared Spectroscopy Open
Both the mineralogy and geochemistry of coal mine waste presents environmental and social challenges while simultaneously offering the potential source for recovery of metals, including critical raw materials (CRMs). Assessing these challe…
View article: Sensor-based Multi-Level Analysis of Ferronickel Furnace Slag: Exploring Economic Opportunities   
Sensor-based Multi-Level Analysis of Ferronickel Furnace Slag: Exploring Economic Opportunities    Open
The ever-growing demand for mining products has led to the extraction and processing of large volumes of materials, resulting in the production of significant amounts of mine waste. While the composition of mine waste materials can vary an…
View article: Fourier Transform Infrared data analysis to analyse the environmental impact of coal mine waste
Fourier Transform Infrared data analysis to analyse the environmental impact of coal mine waste Open
In the current energy transition, many governments have made plans to reduce energy production by coal. Therefore, Germany has set the ambition to close coal mines in 2030 (Wehrmann et al., 2021). The many years of mining produced a large …
View article: Multi-sensor approach for modeling rare earth elements within the lignite waste dumps
Multi-sensor approach for modeling rare earth elements within the lignite waste dumps Open
Due to technological advances demand for rare earth elements (REEs) have been increased. However, exploration or secondary recovery of these elements has not been done properly except for a few countries in the world that supply REEs, such…
View article: Sensing and data fusion opportunities for raw material characterisation in mining
Sensing and data fusion opportunities for raw material characterisation in mining Open
The rising demands for mined products lead to the extraction of materials in geologically complex regions. This calls for mining process changes and interventions driven by technology and advanced data analytics. The dynamic development of…
View article: Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining
Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining Open
Sensor technologies provide relevant information on the key geological attributes in mining. The integration of data from multiple sources is advantageous in making use of the synergy among the outputs for the enhanced characterisation of …
View article: Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals
Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals Open
Accurate quantitative mineralogical data has significant implications in mining operations. However, quantitative analysis of minerals is challenging for most of the sensor outputs. Thus, it requires advances in data analytics. In this wor…
View article: Data Fusion for the Prediction of Elemental Concentrations in Polymetallic Sulphide Ore Using Mid-Wave Infrared and Long-Wave Infrared Reflectance Data
Data Fusion for the Prediction of Elemental Concentrations in Polymetallic Sulphide Ore Using Mid-Wave Infrared and Long-Wave Infrared Reflectance Data Open
The increasing availability of complex multivariate data yielded by sensor technologies permits qualitative and quantitative data analysis for material characterization. Multivariate data are hard to understand by visual inspection and int…
View article: Corrigendum: Antimicrobial resistance surveillance in Ethiopia: Implementation experiences and lessons learned
Corrigendum: Antimicrobial resistance surveillance in Ethiopia: Implementation experiences and lessons learned Open
[This corrects the article DOI: 10.4102/ajlm.v7i2.770.].
View article: Evaluation of sensor technologies for on-line raw material characterization in “Reiche Zeche” underground mine - outcomes of RTM implementation
Evaluation of sensor technologies for on-line raw material characterization in “Reiche Zeche” underground mine - outcomes of RTM implementation Open
The increasing advances in sensor technology have resulted in greater availability of sensor data for a wide range of applications. One such application is raw material characterization in mining operations. Sensor technologies operate ove…
View article: Antimicrobial resistance surveillance in Ethiopia: Implementation experiences and lessons learned
Antimicrobial resistance surveillance in Ethiopia: Implementation experiences and lessons learned Open
Introduction: Antimicrobial resistance (AMR) poses a global threat. High levels of AMR to commonly used antibiotics have been reported in East Africa. A situation analysis of AMR in Ethiopia also indicated high resistance levels. To preven…
View article: Automation in sensing and raw material characterization - a conceptual framework
Automation in sensing and raw material characterization - a conceptual framework Open
The use of sensor technologies for material characterization is rapidly growing and innovative advancement is observed. However, the use of sensor combinations for a raw material characterization in mining is very limited and automation of…
View article: Real -Time Mining: Sensors for materials characterization
Real -Time Mining: Sensors for materials characterization Open
Sensors are being used as laboratory and in-situ techniques for characterization and definition of raw material properties. However, application of sensor technologies for underground mining resource extraction is very limited and highly d…
View article: The use of RGB Imaging and FTIR Sensors for Mineral mapping in the Reiche Zeche underground test mine, Freiberg
The use of RGB Imaging and FTIR Sensors for Mineral mapping in the Reiche Zeche underground test mine, Freiberg Open
The application of sensor technologies for raw material characterization is rapidly growing, and innovative advancement of the technologies is observed. Sensors are being used as laboratory and in-situ techniques for characterization and d…