Product Alert

Possible world based consistency learning model for clustering and classifying uncertain data.

Possible world has shown to be effective for handling various types of data uncertainty in uncertain data management. However, few uncertain data clustering and classification algorithms are proposed based on possible world. Moreover, existing possible world based algorithms suffer from the following issues: (1) they deal with each possible world independently and ignore the consistency principle ...

An overview of robotic/mechanical devices for post-stroke thumb rehabilitation.

PURPOSE: This article aims to clarify the current state-of-the-art of robotic/mechanical devices for post-stroke thumb rehabilitation as well as the anatomical characteristics and motions of the thumb that are crucial for the development of any device that aims to support its motion.

Palliative analgesia with topical sevoflurane in cancer-related skin ulcers: a case report.

A Caucasian 39-year-old male patient with a poorly-differentiated infiltrating epidermoid penile carcinoma with urethral invasion was diagnosed. The p...

Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, "The Internet of Things" and Next-Generation Technology Policy.

Driverless cars with artificial intelligence (AI) and automated supermarkets run by collaborative robots (cobots) working without human supervision ha...

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is lever...

The distribution and redistribution of fentanyl & norfentanyl in post mortem samples.

This article compares 249 post mortem case reports that were positive for fentanyl/norfentanyl. All the cases were submitted to, and analyzed by, the ...

Detection of delta-9-tetrahydrocannabinol (THC) in oral fluid, blood and urine following oral consumption of low-content THC hemp oil.

Hemp-derivative (Cannabis sativa L.) food products containing trace levels of Δ-9-tetrahydrocannabinol (THC) are proposed for consumption in Australia...

Mild troponin elevation in patients admitted to the emergency department with atrial fibrillation: 30-day post-discharge prognostic significance.

Patients with atrial fibrillation (AF) often undergo troponin (Tn) testing in the emergency department (ED), but the clinical significance of mildly e...

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection.

The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding window (FOSW) approaches are the most commonly used data-segme...

Effect of Switching from Cilnidipine to Azelnidipine on Cardiac Sympathetic Nerve Function in Patients with Heart Failure Preserved Ejection Fraction.

Cardiac sympathetic nerve activity is known to play a key role in the development and progression of heart failure (HF). Azelnidipine, an L-type calci...

Deep Gramulator: Improving Precision in the Classification of Personal Health-Experience Tweets with Deep Learning.

Health surveillance is an important task to track the happenings related to human health, and one of its areas is pharmacovigilance. Pharmacovigilance...

Efficacy and safety of praziquantel against in the Ikata-Likoko area of southwest Cameroon.

BACKGROUND: Schistosomiasis remains a parasitic infection of public health importance especially in Africa south of the Sahara including Cameroon. Che...

Post-partum concentrations of serum progesterone, oestradiol and prolactin in Arabian mares demonstrating normal maternal behaviour and Arabian mares demonstrating foal rejection behaviour.

The aim of this prospective study was to investigate possible endocrine components to foal rejection behaviour in post-partum Arabian mares. Arabian m...

Forecasting influenza-like illness dynamics for military populations using neural networks and social media.

This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals...

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.

During the last two decades, MRI has been increasingly used for providing valuable quantitative information about spinal cord morphometry, such as qua...

Factors Leading to Improved Gait Function in Patients with Subacute or Chronic Central Nervous System Impairments Who Receive Functional Training with the Robot Suit Hybrid Assistive Limb.

The factors that lead to the improvement of gait function in patients with diseases of the central nervous system (CNS) who use a hybrid assistive lim...

Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator.

Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for i...

SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media.

With the development of Web 2.0 technology, social media websites have become lucrative but under-explored data sources for extracting adverse drug ev...

First Ever Use of Proton Stereotactic Body Radiation Therapy Delivered with Curative Intent to Bilateral Synchronous Primary Renal Cell Carcinomas.

Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever use of proton therapy to treat primary renal cell c...

Combined effects of chitosan and microencapsulated CG1.0007 probiotic supplementation on performance and diarrhea incidences in enterotoxigenic K88 challenged piglets.

The aim of this study was to investigate the combined effects of chitosan oligosaccharide (COS) and a microencapsulated CG1.0007 probiotic (PRO) on g...