Author(s): Mignacca M; Brugiapaglia S; Bramburger JJ;

Dynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or with a fixed frequency of oscillation. A widespread application of DMD has been to video, where one inter ...

Article GUID: 40421310

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

Developing low-cost and easy-to-use point-of-care devices is necessary for timely disease diagnosis and health monitoring. Here, we introduce all-inclusive, tablet-based chemo/biosensors with rapid automixing features, capable of mixing in highly viscous solutions with viscosities up to 1700 mPa·s. These tablets are created using a simple powder compressi ...

Article GUID: 40327804

Author(s): Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H;

Objectives: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) is particularly difficult to identify using exi ...

Article GUID: 40105654

Author(s): Huang HT; Li ZC; Wei Y; Suen CY;

This paper is devoted to numerical algorithms based on harmonic transformations with two goals: (1) face boundary formulation by blending techniques based on the known characteristic nodes and (2) some challenging examples of face resembling. The formulation of the face boundary is imperative for face recognition, transformation, and combination. Mapping ...

Article GUID: 39852327

Author(s): Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J;

Drowsy driving is a leading cause of commercial vehicle traffic crashes. The trend is to train fatigue detection models using deep neural networks on driver video data, but challenges remain in coarse and incomplete high-level feature extraction and network architecture optimization. This paper pioneers the use of the CLIP (Contrastive Language-Image Pre- ...

Article GUID: 39771685

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 piercing their fingers. Our NaGdF4: 5% Er3+, 3% Nd3+ nanoparticles demonstrate a remarkable ability to det ...

Article GUID: 38729020

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 tumor regions and generating tumor masks with pixel-wise precision. To facilitate 3D data analysis a ...

Article GUID: 38493601

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 media by a one-pot green synthetic route. The dAuNPs-Sol was combined with varying amounts of dextra ...

Article GUID: 38451315

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 stakeholders should also be secured. In general, security threats in cloud environments have been stud ...

Article GUID: 36691661

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 such as optical, acoustic, electrochemical, and chemiresistive sensors. However, existing commercial V ...

Article GUID: 36658730

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 performance parameters of AuNPs-based sensors. The review begins with the characteristics of AuNPs, followed ...

Article GUID: 36629748