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Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose

Author(s): López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E;

Today, diabetes mellitus is one of the most common diseases that affects the population on a worldwide scale. Patients suffering from this disease are required to control their blood-glucose levels several times a day through invasive methods such as pierci ...

Article GUID: 38729020


Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions

Author(s): Sun Y; Wang C;

The work presented in this paper is in the area of brain tumor detection. We propose a fast detection system with 3D MRI scans of Flair modality. It performs 2 functions, predicting the gray level distribution and location distribution of the pixels in the ...

Article GUID: 38493601


Tailoring plasmonic sensing strategies for the rapid and sensitive detection of hypochlorite in swimming water samples

Author(s): Sadiq Z; Al-Kassawneh M; Safiabadi Tali SH; Jahanshahi-Anbuhi S;

A tunable plasmonic sensor has been developed by varying the dextran content in the initially synthesized dextran-gold nanoparticle (dAuNPs) solution. A colloidal nanogold solution (dAuNPs-Sol) was initially prepared using dextran and gold salt in alkaline ...

Article GUID: 38451315


Deep learning approach to security enforcement in cloud workflow orchestration

Author(s): El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K;

Supporting security and data privacy in cloud workflows has attracted significant research attention. For example, private patients' data managed by a workflow deployed on the cloud need to be protected, and communication of such data across multiple st ...

Article GUID: 36691661


Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds

Author(s): Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM; ...

Volatile organic compounds (VOCs) sensors have a broad range of applications including healthcare, process control, and air quality analysis. There are a variety of techniques for detecting VOCs su ...

Article GUID: 36658730


Gold Nanoparticles-Based Colorimetric Assays for Environmental Monitoring and Food Safety Evaluation

Author(s): Sadiq Z; Safiabadi Tali SH; Hajimiri H; Al-Kassawneh M; Jahanshahi-Anbuhi S;

Recent years have witnessed an exponential increase in the research on gold nanoparticles (AuNPs)-based colorimetric sensors to revolutionize point-of-use sensing devices. Hence, this review is compiled focused on current progress in the design and performa ...

Article GUID: 36629748


Stable Cavitation-Mediated Delivery of miR-126 to Endothelial Cells

Author(s): He S; Singh D; Yusefi H; Helfield B;

In endothelial cells, microRNA-126 (miR-126) promotes angiogenesis, and modulating the intracellular levels of this gene could suggest a method to treat cardiovascular diseases such as ischemia. Novel ultrasound-stimulated microbubbles offer a means to deli ...

Article GUID: 36559150


Novelty detection in rover-based planetary surface images using autoencoders

Author(s): Stefanuk B; Skonieczny K;

In the domain of planetary science, novelty detection is gaining attention because of the operational opportunities it offers, including annotated data products and downlink prioritization. Using a variational autoencoder (VAE), this work improves upon stat ...

Article GUID: 36313243


A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies

Author(s): Bettauer V; Costa ACBP; Omran RP; Massahi S; Kirbizakis E; Simpson S; Dumeaux V; Law C; Whiteway M; Hallett MT; ...

We present deep learning-based approaches for exploring the complex array of morphologies exhibited by the opportunistic human pathogen Candida albicans. Our system, entitled Candescence, automatic ...

Article GUID: 35972285


Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection

Author(s): Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS;

In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about sharing their own data with a third-party server. FL allows a group of users (often referred to as ...

Article GUID: 35875592


Microfluidic Platforms for the Isolation and Detection of Exosomes: A Brief Review

Author(s): Raju D; Bathini S; Badilescu S; Ghosh A; Packirisamy M;

Extracellular vesicles (EVs) are a group of communication organelles enclosed by a phospholipid bilayer, secreted by all types of cells. The size of these vesicles ranges from 30 to 1000 nm, and they contain a myriad of compounds such as RNA, DNA, proteins, ...

Article GUID: 35630197


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