Staffing & Scheduling

Defining and discriminating responders from non-responders following transurethral resection of the prostate.

BACKGROUND: Transurethral resection of the prostate (TURP) is the reference standard surgical treatment for lower urinary tract symptoms (LUTS) related to benign prostatic enlargement. The aim of this study was to investigate the response rate following TURP in two distinctly different patient categories; men with bothersome LUTS and men in urinary retention (UR) requiring catheterisation.

Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.

Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on personal experience, or by an electronic health record (EHR) based on averaged historical means for case duration. Here, we compare the predicted case...

A Combined Ultrafiltration/Diafiltration Step Facilitates the Purification of Cyanovirin-N From Transgenic Tobacco Extracts.

The production of biopharmaceutical proteins in plants offers many advantages over traditional expression platforms, including improved safety, greate...

Automatically Evaluating Balance: A Machine Learning Approach.

Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (...

State-of-the-art review on deep learning in medical imaging.

Deep learning (DL) is affecting each and every sphere of public and private lives and becoming a tool for daily use. The power of DL lies in the fact ...

Co-digestion of Laminaria digitata with cattle manure: A unimodel simulation study of both batch and continuous experiments.

This work investigated the thermophilic (55 °C) co-digestion performance both in batch and continuous mode operation. The biochemical methane potentia...

Simultaneous quantification of six indicator compounds in Wen-Qing-Yin by high-performance liquid chromatography-diode array detection.

A simple gradient high-performance liquid chromatography with diode array detection (HPLC-DAD) method was used to simultaneously to analyze characteri...

Validation of a UPLC-PDA method to study the content and stability of 5-chloro 8-hydroxyquinoline and 5,7-dichloro 8-hydroxyquinoline in medicated feed used in swine farming.

A new, rapid, simple and specific method to determine 5-chloro 8-hydroxyquinoline (5-HQ) and 5,7-dichloro 8-hydroxyquinoline (5,7-HQ) stability in swi...

Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry.

We present DeepNovo-DIA, a de novo peptide-sequencing method for data-independent acquisition (DIA) mass spectrometry data. We use neural networks to ...

Automatic interpretation of otoliths using deep learning.

The age structure of a fish population has important implications for recruitment processes and population fluctuations, and is a key input to fisheri...

Middle molecule elimination in expanded haemodialysis: only convective transport?

BACKGROUND: New high-retention onset dialysers have shown improved efficacy in the elimination of uraemic toxins, and their depurative capacity has be...

Alterations in muscle activation patterns during robot-assisted bilateral training: A pilot study.

Robot-assisted bilateral training is being developed as a new rehabilitation approach for stroke patients. However, there is still a lack of understan...

Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.

The conciliation of multiple single-disease guidelines for comorbid patients entails solving potential clinical interactions, discovering synergies in...

Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model.

The aim of medical image fusion is to improve the clinical diagnosis accuracy, so the fused image is generated by preserving salient features and deta...

Extraction of polysaccharides under vacuum condition from stipe and their antioxidant activities in vitro.

To improve the efficiency of polysaccharide extraction, vacuum technology was used to breakdown the cell wall to extract polysaccharides from stipe, ...

Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task.

A dataset of liquid chromatography-mass spectrometry measurements of medicinal plant extracts from 74 species was generated and used for training and ...

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.

As the collection of mobile health data becomes pervasive, missing data can make large portions of datasets inaccessible for analysis. Missing data ha...

Effects of different high hydrostatic pressure-treated potato starch on the processing performance of dough-like model systems.

In this study, potato starch (PS) was processed by high hydrostatic pressure (HHP) at 200, 350 and 500 MPa for 30 min at 25 °C. Effects of HHP-treated...

Artificial neural networks and player recruitment in professional soccer.

The aim was to objectively identify key performance indicators in professional soccer that influence outfield players' league status using an artifici...

Evaluation of an Artificial Neural Network Retention Index Model for Chemical Structure Identification in Nontargeted Metabolomics.

Liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) is a major analytical technique used for nontargete...