Search results for " Extraction"

Liquid membranes as a sample preparation method in environmental analysis

2014

Because of the complexity of environmental matrices, there is a great need of application efficient sample preparation procedures for environmental analysis. One of such possibilities is using, during sample-pretreatment step, the membrane extraction (ME) methods. They include, for instance, a three-phase extraction system named supported liquid membranes that has been used in recent years many times for isolation and preconcentration of various analytes from complex sample matrices. The examples of application the commonly used types of SLMs, hollow fiber supported liquid membrane and flat sheet supported liquid membrane, are listed and described. Additionally, the area of membrane extract…

Effectiveness of low-level laser therapy on pain intensity after lower third molar extraction

2019

Purpose This double-blind crossover study compared analgesic efficacy of pre-and postoperative administration of low-level laser therapy (LLLT), using a postsurgical dental pain model. Materials and Methods Patients requiring surgical extraction of lower third molar in 2 separate stages under local anesthesia were recruited. During first stage all subjects received LLLT 15 minutes before the extraction and had Placebo Laser (laser probe application with the laser switched off) treatment immediately after completion of the suture. The second stage was carried out after 2 months of washout, patients were crossed over to receive the opposite treatment on the contralateral third molar; thus eac…

Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices

2021

Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis and assessment considering the severe effects of mental stress. In contrast to other health-related wearable devices, wearable or portable devices for stress assessment have not been developed yet. A major requirement for the development of such a device is a time-efficient algorithm. This study investigates the performance of computer-aided approaches for mental stress assessment. Machine learning (ML) approaches are compared in terms of the time required for feature extraction and classification. After conducting tests on data for real-t…

Antioxidant Potential of Extracts Obtained from Macro- (Ascophyllum nodosum, Fucus vesiculosus and Bifurcaria bifurcata) and Micro-Algae (Chlorella v…

2018

Background: Natural antioxidants, which can replace synthetic ones due to their potential implications for health problems in children, have gained significant popularity. Therefore, the antioxidant potential of extracts obtained from three brown macroalgae (Ascophyllum nodosum, Fucus vesiculosus and Bifurcaria bifurcata) and two microalgae (Chlorella vulgaris and Spirulina platensis) using ultrasound-extraction as an innovative and green approach was evaluated. Methods: Algal extracts were obtained by ultrasound-assisted extraction using water/ethanol (50:50, v:v) as the extraction solvent. The different extracts were compared based on their antioxidant potential, measuring the extraction …

Development and use of computational tools for modelling negative hydrogen ion source extraction systems

2013

Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music

2007

A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the…

Music mood annotation using semantic computing and machine learning

2015

Triacylglycerol Analysis in Human Milk and Other Mammalian Species: Small-Scale Sample Preparation, Characterization, and Statistical Classification …

2015

In this work, a method for the separation of triacylglycerols (TAGs) present in human milk and from other mammalian species by reversed-phase high-performance liquid chromatography using a core–shell particle packed column with UV and evaporative light-scattering detectors is described. Under optimal conditions, a mobile phase containing acetonitrile/n-pentanol at 10 °C gave an excellent resolution among more than 50 TAG peaks. A small-scale method for fat extraction in these milks (particularly of interest for human milk samples) using minimal amounts of sample and reagents was also developed. The proposed extraction protocol and the traditional method were compared, giving similar results…

Iatrogenic mandibular fracture associated with third molar removal: Can it be prevented?

2007

Removal of third molars is the most common procedure in oral surgery. It may be associated with complications, such as sensory damage , dry socket, infection and iatrogenic damage. A case of mandibular angle fracture during third molar extraction in a 37?year-old female is reported. Literature review on the possible etiologies and ways of prevention were recorded. The reason is believed to be multifactorial and include: age, gender, degree of impaction, relative volume of the tooth in the jaw, preexisting infection or bone lesions, failure to maintain a soft diet in the early postoperative period and the surgical technique. It is possible to reduce the risk of this complication by adoption …

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

2021

To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscil…