First detection of Fusarium oxysporum f. sp. cubense tropical race 4 (TR4) on Cavendish banana in India
Peer Review
Medinoid: Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning †
Glaucoma is a leading eye disease, causing vision loss by gradually affecting peripheral vision if left untreated. Current diagnosis of glaucoma is performed by ophthalmologists, human experts who typically need to analyze different types of medical images generated by different types of medical equipment: fundus, Retinal Nerve Fiber Layer (RNFL), ...
Intra-and inter-rater reproducibility of ultrasound imaging of patellar and quadriceps tendons in critically ill patient...
Since the outset of body image reconstruction for diagnosis purposes, ultrasound has been used to investigate structural changes located in tendons. Ultrasound has clinical applications in the intensive care unit, but its utility for tendon imaging remains unknown. Thus, we aimed to determine intra- and inter-rater reproducibility of measures obtai...
Feuille de route d’une nouvelle dynamique de la coopération agricole en Algérie
Note de synthèse. Initiative ENPARD Méditerranée (Commission Européenne). Atelier National ENPARD, 2017/03/22, Alger (Algérie)
The use of a mobile app to support diagnosis across multiple animal species and improve disease surveillance in remote s...
European Union
A multiplex fluorescence microsphere immunoassay for increased understanding of Rift Valley fever immune responses in ru...
Peer Review
A mobile-based deep learning model for cassava disease diagnosis
Peer Review
One-step electrospun SnO2/MOx heterostructured nanomaterials for highly selective gas sensor array integration
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It is a challenge to effectively detect the components of a gas mixture using metal oxide sensors which are easily fabricated and inexpensive. In this work, heterostructured SnO2/MOx (i.e. M=Zn, Ga and W) nanotubes (NTs) and nanofibers (NFs) are synthesized via a one-step electrospinning technology and subsequent calcination for use in gas sensors....
One-step electrospun SnO2/MOx heterostructured nanomaterials for highly selective gas sensor array integration
...
It is a challenge to effectively detect the components of a gas mixture using metal oxide sensors which are easily fabricated and inexpensive. In this work, heterostructured SnO2/MOx (i.e. M=Zn, Ga and W) nanotubes (NTs) and nanofibers (NFs) are synthesized via a one-step electrospinning technology and subsequent calcination for use in gas sensors....
Reduced Graphene Oxide-Coated Si Nanowires for Highly Sensitive and Selective Detection of Indoor Formaldehyde
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Although significant developments have been made in the low-concentration formaldehyde monitoring in indoor air by using gas sensors, they still suffer from insufficient performance for achieving ppb-level detection. In this work, oriented Si nanowires (SiNWs) with high specific surface area were prepared via metal-assisted chemical etching method...
