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https://www.readbyqxmd.com/read/28231154/natural-chemical-composition-of-commercial-fish-species-characterisation-of-pangasius-wild-and-farmed-turbot-and-barramundi
#1
Monika Manthey-Karl, Ines Lehmann, Ute Ostermeyer, Ute Schröder
To comply with the relevant legal requirements and correct labelling, it is necessary for business operators and inspection authorities to know the natural characteristics of the raw material. This study gives a comprehensive overview of muscle flesh composition of farmed and wild Atlantic turbot (Scophthalmus maximus) and barramundi (Lates calcarifer) and of farmed pangasius (Pangasianodon hypophthalmus). The proximate composition, di- and triphosphates and citric acid values are presented in order to evaluate possible indicators for a hidden treatment during processing to fillets...
August 30, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28231130/evaluation-of-turmeric-powder-adulterated-with-metanil-yellow-using-ft-raman-and-ft-ir-spectroscopy
#2
Sagar Dhakal, Kuanglin Chao, Walter Schmidt, Jianwei Qin, Moon Kim, Diane Chan
Turmeric powder (Curcuma longa L.) is valued both for its medicinal properties and for its popular culinary use, such as being a component in curry powder. Due to its high demand in international trade, turmeric powder has been subject to economically driven, hazardous chemical adulteration. This study utilized Fourier Transform-Raman (FT-Raman) and Fourier Transform-Infra Red (FT-IR) spectroscopy as separate but complementary methods for detecting metanil yellow adulteration of turmeric powder. Sample mixtures of turmeric powder and metanil yellow were prepared at concentrations of 30%, 25%, 20%, 15%, 10%, 5%, 1%, and 0...
May 17, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28230757/simultaneous-quantification-of-nine-new-furanocoumarins-in-angelicae-dahuricae-radix-using-ultra-fast-liquid-chromatography-with-tandem-mass-spectrometry
#3
Lei Zhang, Wei Wei, Xiu-Wei Yang
A series of new furanocoumarins with long-chain hydrophobic groups, namely andafocoumarins A-H and J, have been isolated from the dried roots of Angelica dahurica cv. Hangbaizhi (Angelicae Dahuricae radix) in our previous study, among which andafocoumarins A and B were demonstrated to have better anti-inflammatory activity than the positive controls. In this work, a sensitive, accurate, and efficient ultra-fast liquid chromatography coupled with triple quadrupole mass spectrometer (UFLC-MS/MS) method was developed and validated for simultaneous quantification of above-mentioned nine compounds in four cultivars of Angelicae Dahuricae Radix...
February 20, 2017: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/28230397/weighted-integration-suggests-that-visual-and-tactile-signals-provide-independent-estimates-about-duration
#4
Danny M Ball, Derek H Arnold, Kielan Yarrow
Humans might possess either a single (amodal) internal clock or multiple clocks for different sensory modalities. Sensitivity could be improved by the provision of multiple signals. Such improvements can be predicted quantitatively, assuming estimates are combined by summation, a process described as optimal when summation is weighted in accordance with the variance associated with each of the initially independent estimates. This possibility was assessed for visual and tactile information regarding temporal intervals...
February 23, 2017: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/28230161/robust-high-dimensional-bioinformatics-data-streams-mining-by-odr-iovfdt
#5
Dantong Wang, Simon Fong, Raymond K Wong, Sabah Mohammed, Jinan Fiaidhi, Kelvin K L Wong
Outlier detection in bioinformatics data streaming mining has received significant attention by research communities in recent years. The problems of how to distinguish noise from an exception and deciding whether to discard it or to devise an extra decision path for accommodating it are causing dilemma. In this paper, we propose a novel algorithm called ODR with incrementally Optimized Very Fast Decision Tree (ODR-ioVFDT) for taking care of outliers in the progress of continuous data learning. By using an adaptive interquartile-range based identification method, a tolerance threshold is set...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229555/developmental-changes-in-the-whole-number-bias
#6
David W Braithwaite, Robert S Siegler
Many students' knowledge of fractions is adversely affected by whole number bias, the tendency to focus on the separate whole number components (numerator and denominator) of a fraction rather than on the fraction's magnitude (ratio of numerator to denominator). Although whole number bias appears early in the fraction learning process and under speeded conditions persists into adulthood, even among mathematicians, little is known about its development. Performance with equivalent fractions indicated that between fourth and eighth grade, whole number bias decreased, and reliance on fraction magnitudes increased...
February 22, 2017: Developmental Science
https://www.readbyqxmd.com/read/28229521/microbial-potential-for-carbon-and-nutrient-cycling-in-a-geogenic-supercritical-carbon-dioxide-reservoir
#7
Adam J E Freedman, BoonFei Tan, Janelle R Thompson
Microorganisms catalyze carbon cycling and biogeochemical reactions in the deep subsurface and thus may be expected to influence the fate of injected supercritical (sc) CO2 following geological carbon sequestration (GCS). We hypothesized that natural subsurface scCO2 reservoirs, which serve as analogs for the long-term fate of sequestered scCO2 , harbor a "deep carbonated biosphere" with carbon cycling potential. We sampled subsurface fluids from scCO2 -water separators at a natural scCO2 reservoir at McElmo Dome, Colorado for analysis of 16S rRNA gene diversity and metagenome content...
February 22, 2017: Environmental Microbiology
https://www.readbyqxmd.com/read/28229234/sequencing-the-genomic-regions-flanking-s-linked-pvglo-sequences-confirms-the-presence-of-two-glo-loci-one-of-which-lies-adjacent-to-the-style-length-determinant-gene-cyp734a50
#8
Benjamin A Burrows, Andrew G McCubbin
Primula vulgaris contains two GLOBOSA loci, one located adjacent to the style length determinant gene CYP734A50 which lies within the S -locus. Using a combination of BAC walking and PacBio sequencing, we have sequenced two substantial genomic contigs in and around the S-locus of Primula vulgaris. Using these data, we were able to demonstrate that two alleles of PvGlo (P) as well as PvGlo (T) can be present in the genome of a single plant, providing empirical evidence that these two forms of the MADS-box gene GLOBOSA are separate loci and not allelic as previously reported...
February 22, 2017: Plant Reproduction
https://www.readbyqxmd.com/read/28227925/principal-component-analysis-can-decrease-neural-networks-performance-for-incipient-falls-detection-a-preliminary-study-with-hands-and-feet-accelerations
#9
Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera, Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to design devices (e.g., accelerometers) and machine learning algorithms able to recognize incipient falls as quickly and reliably as possible. Blind source separation (BSS) methods are often used as a preprocessing step before classification, however the effects of BSS on classification performance are not well understood. The aim of this work is to preliminarily characterize the effect that two methods, namely Principal and Independent Component Analysis (PCA and ICA) and their combined use have on the performance of a neural network in detecting incipient falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#10
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227751/a-time-domain-frequency-selective-multivariate-granger-causality-approach
#11
Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte
The investigation of effective connectivity is one of the major topics in computational neuroscience to understand the interaction between spatially distributed neuronal units of the brain. Thus, a wide variety of methods has been developed during the last decades to investigate functional and effective connectivity in multivariate systems. Their spectrum ranges from model-based to model-free approaches with a clear separation into time and frequency range methods. We present in this simulation study a novel time domain approach based on Granger's principle of predictability, which allows frequency-selective considerations of directed interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227624/relationship-between-gait-variables-and-domains-of-neurologic-dysfunction-in-multiple-sclerosis-using-six-minute-walk-test
#12
Asma Qureshi, Maite Brandt-Pearce, Myla D Goldman, Asma Qureshi, Maite Brandt-Pearce, Myla D Goldman, Asma Qureshi, Myla D Goldman, Maite Brandt-Pearce
Most multiple sclerosis (MS) patients eventually suffer from mobility impairment, and thus it is critical that walking disability in MS be accurately assessed. The six-minute walk test (6MWT), a reliable MS measure, is traditionally used to determine the distance covered in six minutes using a standard protocol. With the availability of body sensor networks (BSNs), researchers are interested in leveraging BSN data for finding new gait assessment anchors for improved separability performance. Further, current methods for gait assessments are insufficient since assessments are absolute, performed by comparing outcomes to the statistical norms established from diverse patient data despite natural inter-patient variability...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227521/eeg-analysis-via-multiscale-lempel-ziv-complexity-for-seizure-detection
#13
N Sertac Artan, N Sertac Artan, N Sertac Artan
Robust seizure detection and seizure prediction continues to be a challenge. Lempel-Ziv Complexity (LZC) is one of the features that has shown to be relevant in seizure detection. Recent work has shown that augmenting LZC can be beneficial to emphasize variations in amplitude or frequency when analyzing biomedical signals. In this paper, we present a first look into evaluating the feasibility of using a recently proposed feature stemmed from LZC, namely the Multiscale Lempel-Ziv Complexity (MLZC) for seizure detection...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227326/detection-of-binaural-interaction-in-free-field-evoked-auditory-brainstem-responses-by-time-scale-representations
#14
Erik Schebsdat, Horst Hessel, Harald Seidler, Daniel J Strauss, Erik Schebsdat, Horst Hessel, Harald Seidler, Daniel J Strauss, Horst Hessel, Erik Schebsdat, Harald Seidler, Daniel J Strauss
The so called β-wave of the binaural interaction component (BIC) in auditory brainstem responses (ABR) has been shown to be an objective measure for binaural interaction (BI). This component is the arithmetical difference between the sum of the monaurally evoked ABRs and the binaurally evoked ABR. Unfortunately, these neural responses are known to be very fragile and as a result the calculated BIC. An additional issue is, that the findings of this measurement are predominantly needed in people with hearing loss who may use hearing devices like hearing aids (HA) or cochlear implants (CI), thus they are not able to use headphones (like in conventional ABR measurements) during the detection of possible BI...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227300/convolutive-blind-source-separation-on-surface-emg-signals-for-respiratory-diagnostics-and-medical-ventilation-control
#15
Herbert Buchner, Eike Petersen, Marcus Eger, Philipp Rostalski, Herbert Buchner, Eike Petersen, Marcus Eger, Philipp Rostalski, Marcus Eger, Philipp Rostalski, Eike Petersen, Herhert Buchner
The electromyogram (EMG) is an important tool for assessing the activity of a muscle and thus also a valuable measure for the diagnosis and control of respiratory support. In this article we propose convolutive blind source separation (BSS) as an effective tool to pre-process surface electromyogram (sEMG) data of the human respiratory muscles. Specifically, the problem of discriminating between inspiratory, expiratory and cardiac muscle activity is addressed, which currently poses a major obstacle for the clinical use of sEMG for adaptive ventilation control...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227194/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#16
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Elvira Pirondini, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera
The coordinated recruitment of group of muscles through muscles synergies is known to simplify the control of movements. However, how and to what extent such control scheme is encoded at a cortical level is poorly understood. So far, electroencephalography (EEG) and electromyography (EMG) have been used, separately, to investigate the cortical regions of the human brain which may be involved in activating muscle synergies. Here we aim at extending these results by looking for a hierarchical relationship between cortical and muscular sources of activity (neuro-muscular synergies) with a unified analysis of independent components (IC) simultaneously extracted from both EEG and EMG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227193/double-sensor-complementary-placement-method-to-reduce-motion-artifacts-in-ppg-using-fast-independent-component-analysis
#17
Frank P-W Lo, Max Q-H Meng, Frank P-W Lo, Max Q-H Meng, Max Q H Meng, Frank P W Lo
A novel sensor placement method for better removal of motion artifacts (MA) from photoplethysmography (PPG) signal using Fast Independent Component Analysis (ICA) is proposed in this paper. The method enhances the determination of pulse transit time (PTT) of PPG signals. The design makes use of double reflectance mode based PPG probes, which are placed complementary to each other and on the two sides of a single finger. Furthermore, a novel indicator denoted as Separating Factor is proposed as well. It helps evaluating the performance of ICA with different sensors configuration...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226998/extraction-of-the-brachialis-muscle-activity-using-hd-semg-technique-and-canonical-correlation-analysis
#18
M Al Harrach, B Afsharipour, S Boudaoud, V Carriou, F Marin, R Merletti, M Al Harrach, B Afsharipour, S Boudaoud, V Carriou, F Marin, R Merletti, V Carriou, B Afsharipour, M Al Harrach, F Marin, S Boudaoud
The Brachialis (BR) is placed under the Biceps Brachii (BB) deep in the upper arm. Therefore, the detection of the corresponding surface Electromyogram (sEMG) is a complex task. The BR is an important elbow flexor, but it is usually not considered in the sEMG based force estimation process. The aim of this study was to attempt to separate the two sEMG activities of the BR and the BB by using a High Density sEMG (HD-sEMG) grid placed at the upper arm and Canonical Component Analysis (CCA) technique. For this purpose, we recorded sEMG signals from seven subjects with two 8 × 4 electrode grids placed over BB and BR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226883/a-simple-sensing-mechanism-for-wireless-passive-pressure-sensors
#19
John F Drazan, Michael T Wassick, Reena Dahle, Luke A Beardslee, Nathaniel C Cady, Eric H Ledet, John F Drazan, Michael T Wassick, Reena Dahle, Luke A Beardslee, Nathaniel C Cady, Eric H Ledet, Nathaniel C Cady, John F Drazan, Reena Dahle, Eric H Ledet, Luke A Beardslee, Michael T Wassick
We have developed a simple wireless pressure sensor that consists of only three electrically isolated components. Two conductive spirals are separated by a closed cell foam that deforms when exposed to changing pressures. This deformation changes the capacitance and thus the resonant frequency of the sensors. Prototype sensors were submerged and wirelessly interrogated while being exposed to physiologically relevant pressures from 10 to 130 mmHg. Sensors consistently exhibited a sensitivity of 4.35 kHz/mmHg which is sufficient for resolving physiologically relevant pressure changes in vivo...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226624/a-comparison-of-independent-component-analysis-algorithms-and-measures-to-discriminate-between-eeg-and-artifact-components
#20
Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, John O Willoughby, Hoang K Nguyen, Dylan DeLosAngeles, Trent W Lewis, Dhani Dharmaprani, Kenneth J Pope
Independent Component Analysis (ICA) is a powerful statistical tool capable of separating multivariate scalp electrical signals into their additive independent or source components, specifically EEG or electroencephalogram and artifacts. Although ICA is a widely accepted EEG signal processing technique, classification of the recovered independent components (ICs) is still flawed, as current practice still requires subjective human decisions. Here we build on the results from Fitzgibbon et al. [1] to compare three measures and three ICA algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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