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Assessment of particulate matter and particle path trajectory analysis using a HYSPLIT model over Dire Dawa, Ethiopia
- 2024
This work deals with the assessment of particulate matter (PM1, PM2.5, and PM10) over Dire Dawa during the month of May 2021. In the study, purple sensor (PS) and gravimetric methods (GM) were used. The purple sensor was to provide real-time measurements of PM1.0, PM2.5, and PM10 particulates. The GM instruments were constructed using wood with 1 m height (distance to ground), with flat board on t......
Cellulose based adsorbent for cationic methylene blue dye removalAbstract New chemically amended (sodium periodate cellulose nanoparticle (NaIO4 -CNP) adsorbent material was synthesized from dried fibers of cotton. The synthesized NaIO4 -CNP adsorbent material was characterized for functional groups, crystallite size, surface morphology, morphological structure, and particle size) by using ... ...
Tập 6 Số 2
Internet of Artificial Intelligence (IoAI): the emergence of an autonomous, generative, and fully human-disconnected communityArticle Highlights
The IoAI is an excellent human-disconnected community in solving its problems.
IoAI assistance to humans through innovative ideas, high-tech products, and en...
Tập 6 Số 3
Sufficient synchronization conditions for resistively and memristively coupled oscillators of FitzHugh-Nagumo-type Abstract We study the synchronization behavior of a class of identical FitzHugh-Nagumo-type oscillators under adaptive coupling. We describe the oscillators by a circuit model and we provide a sufficient synchronization condition that relies on the shape of the nonlinear conductance’s (i , u )-curve and the connect... ...
Slime mold algorithm for topology optimization: metagratings inverse design Abstract In this paper we discuss the use of a metaheuristic (MH) gradient-free optimization method, specifically the slime mold algorithm (SMA), combined with the topology optimization (TO) method to design metasurfaces using a spectral modal method. The motivation behind using a MH approach comes from the drawbacks associated with traditional gradient-based method... ...
Multi-parameters approach to assessment of soil liquefaction vulnerability in wetland areas of Lagos, Southwestern, Nigeria Abstract With respect to geology, most coastal terrains are underlain by problematic soils, some of which are liquefiable in nature and may cause sudden failure of engineering infrastructures. Against this background, this study was carried out to investigate the subsurface geology of some Lagos coastal areas and their engineering implications using geophysical and ... ...
Contributions of the Brazil’s National Institute for Space Research (INPE) to emergency response in the International Space and Major Disasters CharterAbstract Brazil participates, through the National Institute for Space Research (INPE), in the International Charter Space and Major Disasters—Disasters Charter, an international cooperation effort to provide satellite images of major disasters around the world. The Disasters Charter is a joint and voluntary cooperative effort of 17 members. The characteristics of h... ...
Tập 6 Số 4
PLA-HA/Fe3O4 magnetic nanoparticles loaded with curcumin: physicochemical characterization and toxicity evaluation in HCT116 colorectal cancer cellsAbstract Colorectal cancer (CRC) is the third most common, harmful, and universal cancer and the second lethal type. This paper discusses the therapeutic potential of curcumin, a significant curcuminoid found in the substructure of plant Curcuma longa (turmeric), against CRC. Curcumin has the ability to disrupt a variety of cellular signal... ...
Tập 6 Số 4
Assessing the influence of seasonal precipitation patterns on groundwater quality in the coal rich environment of Enugu, Nigeria Abstract As the impacts of climate change continue to be felt around the world, understanding the effects on groundwater quality and quantity has become an important area of investigation. As a global source of water that contributes to preserving the environment, a better understanding of the effect of precipitation seasonal pattern on these systems is crucial; tho... ...
Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images Abstract The use of a light-weight deep learning Convolutional Neural Network (CNN) augmented with the power of Fuzzy Non-Sample Shearlet Transformation (FNSST) has successfully solved the problem of reducing noise and artifacts in Low-Dose Computed Tomography (LDCT) pictures. Both the Normal-Dose Computed Tomography (NDCT) and the Low-Dose Computed Tomography (LDCT... ...