Staffing & Scheduling

Classification of glomerular hypercellularity using convolutional features and support vector machine.

Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, and are responsible for blood filtration. Glomerular lesions impair kidney filtration capability, leading to protein loss and metabolic waste retention. An example of lesion is the glomerular hypercellularity, which is characterized by an increase in the number of cell nuclei in different areas of th...

Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review.

Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the neurophysiological processes underpinning the SMR often vary over time and across subjects. Inherent intra- and inter-subject variability causes covariate shift in data distributions that impede the transferability of model parameters amongs...

Optimal memory-aware backpropagation of deep join networks.

Deep learning training memory needs can prevent the user from considering large models and large batch sizes. In this work, we propose to use techniqu...

Adaptive Ankle Resistance from a Wearable Robotic Device to Improve Muscle Recruitment in Cerebral Palsy.

Individuals with cerebral palsy can have weak and poorly coordinated ankle plantar flexor muscles that contribute to inefficient walking patterns. Pre...

Application of machine learning to predict monomer retention of therapeutic proteins after long term storage.

An important aspect of initial developability assessments as well formulation development and selection of therapeutic proteins is the evaluation of d...

Interpreting neural decoding models using grouped model reliance.

Machine learning algorithms are becoming increasingly popular for decoding psychological constructs based on neural data. However, as a step towards b...

Anti-toxoplasma, antioxidant and cytotoxic activities of (Fée) T. Moore hexane fraction.

The apicomplexan parasite () causes toxoplasmosis in humans. Pyrimethamine and sulfadiazine that are the drugs of choice to treat the disease, produc...

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control.

An important barrier to commercialization of pattern recognition myoelectric control of prostheses is the lack of robustness to confounding factors su...

A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.

Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelength emission was benefit for accurate detection of h...

Junctionless Poly-GeSn Ferroelectric Thin-Film Transistors with Improved Reliability by Interface Engineering for Neuromorphic Computing.

Ferroelectric HfZrO (Fe-HZO) with a larger remnant polarization () is achieved by using a poly-GeSn film as a channel material as compared with a poly...

The METLIN small molecule dataset for machine learning-based retention time prediction.

Machine learning has been extensively applied in small molecule analysis to predict a wide range of molecular properties and processes including mass ...

Out damn bot, out: Recruiting real people into substance use studies on the internet.

While the Internet has become a popular and effective strategy for recruiting substance users into research, there is a large risk of recruiting dupli...

Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization.

We conducted a systematic review of literature to better understand the role of new technologies in the perioperative period; in particular we focus o...

Cell proliferation activity delineated by molecular docking of four new compounds isolated from the aerial parts of Forssk. ex. J.F. Gmel.

Using different chromatographic methods, four new compounds were isolated from the aerial parts of (Chenopodiaceae) along with 2-hydroxy-1-naphthoic ...

Reaction-diffusion memory unit: Modeling of sensitization, habituation and dishabituation in the brain.

We propose a novel approach to investigate the effects of sensitization, habituation and dishabituation in the brain using the analysis of the reactio...

Temozolomide radiochemotherapy for high-grade glioma patients with hemodialysis: a case series of 7 patients.

BACKGROUND: The pharmacokinetics of temozolomide (TMZ) in patients with severe renal impairments (creatinine clearance, <36 mL/min/m) or in hemodialys...

Qualitative, Exploratory, and Multidimensional Study of Telepresence Robots for Overcoming Social Isolation of Children and Adolescents Hospitalized in Onco-Hematology.

Treatment of pediatric cancers and hematological malignancies requires long periods of isolation in a sterile room. To promote family connections, te...

Steroid identification via deep learning retention time predictions and two-dimensional gas chromatography-high resolution mass spectrometry.

Untargeted steroid identification represents a great analytical challenge even when using sophisticated technology such as two-dimensional gas chromat...

Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled Trial.

Background and Purpose- The purpose of this study was to investigate the effects of gait training with a newly developed wearable hip-assist robot on ...

ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.

PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical v...