Staffing & Scheduling

Dynamics of Viral Abundance and Diversity in a Sphagnum-Dominated Peatland: Temporal Fluctuations Prevail Over Habitat.

Viruses impact microbial activity and carbon cycling in various environments, but their diversity and ecological importance in Sphagnum-peatlands are unknown. Abundances of viral particles and prokaryotes were monitored bi-monthly at a fen and a bog at two different layers of the peat surface. Viral particle abundance ranged from 1.7 x 10(6) to 5.6 x 10(8) particles mL(-1), and did not differ betw...

Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system.

In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological and physical differences) was considered. Twenty-eight participants performed Meyer and Flenghi's step-test and a maximal treadmill test, during which ...

Speciation of inorganic antimony (III & V) employing polyurethane foam loaded with bromopyrogallol red.

In this work, the speciation analysis of inorganic antimony (Sb(III) and Sb(V)) is proposed using polyurethane foam loaded with bromopyrogallol red (P...

LOPES II--Design and Evaluation of an Admittance Controlled Gait Training Robot With Shadow-Leg Approach.

Robotic gait training is gaining ground in rehabilitation. Room for improvement lies in reducing donning and doffing time, making training more task s...

Progesterone supplementation during the time of pregnancy recognition after artificial insemination improves conception rates in high-producing dairy cows.

This study examines the possible effects of progesterone (P4) supplementation during the time of pregnancy recognition, from Days 15 to 17 post-artifi...

Large volume preconcentration and determination of nanomolar concentrations of iron in seawater using a renewable cellulose 8-hydroquinoline sorbent microcolumn and universal approach of post-column eluate utilization in a Lab-on-Valve system.

We report on a Lab-On-Valve (LOV) configuration for analyte preconcentration from milliliter sample volumes using confluent mixing in the holding coil...

The effect of the toxic dinoflagellate on the fitness of the calanoid copepod .

Inshore and offshore waters of the Gulf of Maine (USA) have spring/summer harmful algal blooms (HABs) of the toxic dinoflagellate , which is responsib...

Developing and Conducting a Dissertation Study through the Community-Based Participatory Research Approach.

The community-based participatory research (CBPR) approach has been shown to be innovative and effective in conducting research with communities exper...

Simultaneous determination of kolliphor HS15 and miglyol 812 in microemulsion formulation by ultra-high performance liquid chromatography coupled with nano quantity analyte detector.

A novel method for simultaneous determination of kolliphor HS15 and miglyol 812 in microemulsion formulation was developed using ultra-high performanc...

Coherent and intermittent ensemble oscillations emerge from networks of irregular spiking neurons.

Local field potential (LFP) recordings from spatially distant cortical circuits reveal episodes of coherent gamma oscillations that are intermittent, ...

Prediction the Substrate Specificities of Membrane Transport Proteins Based on Support Vector Machine and Hybrid Features.

Membrane transport proteins and their substrate specificities play crucial roles in a variety of cellular functions. Identifying the substrate specifi...

Evaluation of a transcutaneous method to assess canine liver function by indocyanine green plasma disappearance rate in healthy adult Beagle dogs.

A non-invasive, transcutaneous method using near infrared spectroscopy to assess indocyanine green plasma disappearance rate (ICG-PDR) in healthy dogs...

Superficial Zone Extracellular Matrix Extracts Enhance Boundary Lubrication of Self-Assembled Articular Cartilage.

OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial zone protein (SZP), did not reduce the friction c...

Long-range recruitment of Martinotti cells causes surround suppression and promotes saliency in an attractor network model.

Although the importance of long-range connections for cortical information processing has been acknowledged for a long time, most studies focused on t...

Optimal stimulus scheduling for active estimation of evoked brain networks.

OBJECTIVE: We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures a...

Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices.

The development of quantitative structure-retention relationships (QSRR) aims at constructing an appropriate linear/nonlinear model for the prediction...

Gradient liquid chromatographic retention time prediction for suspect screening applications: A critical assessment of a generalised artificial neural network-based approach across 10 multi-residue reversed-phase analytical methods.

For the first time, the performance of a generalised artificial neural network (ANN) approach for the prediction of 2492 chromatographic retention tim...

Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis.

The recent development of broad-scope high resolution mass spectrometry (HRMS) screening methods has resulted in a much improved capability for new co...

Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.

Lipocalins are short in sequence length and perform several important biological functions. These proteins are having less than 20% sequence similarit...

Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks.

The three-phase shift between line current and phase voltage of induction motors can be used as an efficient fault indicator to detect and locate inte...