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Using machine learning to detect events in eye-tracking data.

Event detection is a challenging stage in eye movement data analysis. A major drawback of current ev...

iPTMnet: an integrated resource for protein post-translational modification network discovery.

Protein post-translational modifications (PTMs) play a pivotal role in numerous biological processes...

Freezing of Stallion Semen: in vitro and in vivo Evaluation of Sperm Motility and Acrosin Activity in Frozen-thawed Semen with Addition of Post-diluent Extenders.

BACKGROUND: Post-diluents could potentially increase semen cryotolerance, but remain poorly explored...

Predictive Factors for Post-Ischemic Compartment Syndrome in Non-Traumatic Acute Limb Ischemia in a Lower Extremity.

: Compartment syndrome (CS) is serious complication following revascularization of acute limb ischem...

[Changes of platelet rheological behavior and the interventional effects of ulinastatin in rats with high-voltage electrical burns].

To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-...

Percutaneous kyphoplasty versus posterior spinal fixation with vertebroplasty for treatment of Kümmell disease: A case-control study with minimal 2-year follow-up.

This is a retrospective case-control study.The aim of this study was to compare the surgical results...

Efficacy of oral tolvaptan versus 3% hypertonic saline for correction of hyponatraemia in post-operative patients.

BACKGROUND AND AIMS: Hyponatraemia is frequent in post-operative patients and may be corrected with ...

Creativity and intelligence in brains and machines: from individuals to societies : Post-event report about the GK sponsored Interdisciplinary College 2017 (IK2017).

Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (A...

Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk i...

Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence.

Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment...

Effect of human-robot interaction on muscular synergies on healthy people and post-stroke chronic patients.

Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patie...

Comparison of kinematic and EMG parameters between unassisted, fixed- and adaptive-stiffness robotic-assisted ankle movements in post-stroke subjects.

In this paper, we present an assist-as-needed scheme that effectively adapted the assistance provide...

Motor adaptation to lateral pelvis assistance force during treadmill walking in individuals post-stroke.

The goal of this study was to determine how individuals post-stroke response to the lateral assistan...

Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR...

Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke.

OBJECTIVE: To review the state of the art of robotic-aided hand physiotherapy for post-stroke rehabi...

Improve the biodegradability of post-hydrothermal liquefaction wastewater with ozone: conversion of phenols and N-heterocyclic compounds.

Hydrothermal liquefaction is a promising technology to convert wet biomass into bio-oil. However, po...

Preclinical Evaluation of Ga-MAA from Commercial Available Tc-MAA Kit.

Tc-Macroaggregated Albumin (Tc-MAA) has been used as a perfusion agent. This study described develop...

Pre-transplant cytomegalovirus immunoglobulin G antibody levels could prevent severe cytomegalovirus infections post-transplant in liver transplant recipients: Experience from a tertiary care liver centre.

BACKGROUND: Humoral immune responses in cytomegalovirus (CMV) are not studied well. Pre-transplant C...

Adverse Drug Event Monitoring with Clinical and Laboratory Data Using Arden Syntax.

In times of steadily increasing numbers of administered drugs, the detection of adverse drug events ...

Machine Learning Models of Post-Intubation Hypoxia During General Anesthesia.

Fine-meshed perioperative measurements are offering enormous potential for automatically investigati...