Efficient XML query and update processing using a novel prime-based middle fraction labeling scheme

2017 ◽  
Vol 14 (3) ◽  
pp. 145-157 ◽  
Author(s):  
Zunyue Qin ◽  
Yong Tang ◽  
Feiyi Tang ◽  
Jing Xiao ◽  
Changqin Huang ◽  
...  
Keyword(s):  
Middle Fraction ◽  
Labeling Scheme

Decision Support System for Evaluating Impact of Product Carbon Labeling Scheme

2014 ◽  
Vol 1 (1) ◽  
pp. 89 ◽  
Author(s):  
Dong-ling Xu ◽  
Chris Foster ◽  
Ying Hu ◽  
Jian-bo Yang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Labeling Scheme ◽  
Carbon Labeling

Human Activity Recognition using Fourier Transform Inspired Deep Learning Combination Model

2019 ◽  
Vol 9 (1) ◽  
pp. 16-31
Author(s):  
Kyungkoo Jun
Keyword(s):  
Fourier Transform ◽  
Deep Learning ◽  
Short Term Memory ◽  
Window Size ◽  
Sensor Data ◽  
Data Sets ◽  
Data Set ◽  
Proposed Model ◽  
Testing Data ◽  
Labeling Scheme

Background & Objective: This paper proposes a Fourier transform inspired method to classify human activities from time series sensor data. Methods: Our method begins by decomposing 1D input signal into 2D patterns, which is motivated by the Fourier conversion. The decomposition is helped by Long Short-Term Memory (LSTM) which captures the temporal dependency from the signal and then produces encoded sequences. The sequences, once arranged into the 2D array, can represent the fingerprints of the signals. The benefit of such transformation is that we can exploit the recent advances of the deep learning models for the image classification such as Convolutional Neural Network (CNN). Results: The proposed model, as a result, is the combination of LSTM and CNN. We evaluate the model over two data sets. For the first data set, which is more standardized than the other, our model outperforms previous works or at least equal. In the case of the second data set, we devise the schemes to generate training and testing data by changing the parameters of the window size, the sliding size, and the labeling scheme. Conclusion: The evaluation results show that the accuracy is over 95% for some cases. We also analyze the effect of the parameters on the performance.

scholarly journals Standardizing human brain parcellations

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ross M. Lawrence ◽  
Eric W. Bridgeford ◽  
Patrick E. Myers ◽  
Ganesh C. Arvapalli ◽  
Sandhya C. Ramachandran ◽  
...  
Keyword(s):  
Human Brain ◽  
Coordinate Space ◽  
The Past ◽  
File Storage ◽  
Statistical Inferences ◽  
Standardized Protocol ◽  
Storage Format ◽  
Labeling Scheme ◽  
Selection Of ◽  
Brain Atlases

AbstractUsing brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available in the neuroparc OSF registered repository or https://github.com/neurodata/neuroparc.

scholarly journals How Successful Is Origin Labeling in a Developing Country Context? Moroccan Consumers’ Preferences toward Local Products

2021 ◽  
Vol 13 (15) ◽  
pp. 8433
Author(s):  
Fatima Lambarraa-Lehnhardt ◽  
Rico Ihle ◽  
Hajar Elyoubi
Keyword(s):  
Agricultural Sector ◽  
Market Potential ◽  
Production Region ◽  
Potential Consumer ◽  
Local Product ◽  
Social And Economic Development ◽  
Main Driver ◽  
Intrinsic Quality ◽  
Labeling Scheme ◽  
Hierarchy Process

The Green Moroccan Plan (GMP) is a national long-term strategy launched by the Moroccan government to support the agricultural sector as the main driver of social and economic development. The GMP involves a labeling strategy based on geographical indications, aimed at protecting and promoting the marketing of locally produced food specialties and linking their specific qualities and reputations to their domestic production region. We evaluated the success of this policy by comparing consumers’ attitudes and preferences toward a local product having a geographical indication label to one without. We conducted a survey of 500 consumers in main Moroccan cities. The potential consumer set for the local product was found to be segmented, indicating the potential for a domestic niche of environmentally aware consumers preferring organically and sustainably produced food. We applied the analytical hierarchy process to prioritize the attributes of the commodities of interest, which underscores the importance of the origin when choosing a local product without origin labeling; for the labeled product, intrinsic quality attributes are considered to be more important. These findings demonstrate the limited promotion of the established origin labeling in the domestic market. Hence, we recommend that the Moroccan government reinforce the labeling scheme with an organic label to increase the market potential of the environmentally aware consumers by ensuring sustainable production of local products.

scholarly journals Single-Molecule Studies on a FRET Biosensor: Lessons from a Comparison of Fluorescent Protein Equipped versus Dye-Labeled Species

Molecules ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3105 ◽  
Author(s):  
Henning Höfig ◽  
Michele Cerminara ◽  
Ilona Ritter ◽  
Antonie Schöne ◽  
Martina Pohl ◽  
...  
Keyword(s):  
Conformational Change ◽  
Single Molecule ◽  
Fluorescent Dyes ◽  
Fluorescent Protein ◽  
Fluorescent Proteins ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Strong Increase ◽  
Single Molecule Level ◽  
Labeling Scheme

Bacterial periplasmic binding proteins (PBPs) undergo a pronounced ligand-induced conformational change which can be employed to monitor ligand concentrations. The most common strategy to take advantage of this conformational change for a biosensor design is to use a Förster resonance energy transfer (FRET) signal. This can be achieved by attaching either two fluorescent proteins (FPs) or two organic fluorescent dyes of different colors to the PBPs in order to obtain an optical readout signal which is closely related to the ligand concentration. In this study we compare a FP-equipped and a dye-labeled version of the glucose/galactose binding protein MglB at the single-molecule level. The comparison demonstrates that changes in the FRET signal upon glucose binding are more pronounced for the FP-equipped sensor construct as compared to the dye-labeled analog. Moreover, the FP-equipped sensor showed a strong increase of the FRET signal under crowding conditions whereas the dye-labeled sensor was not influenced by crowding. The choice of a labeling scheme should therefore be made depending on the application of a FRET-based sensor.

scholarly journals Conversion of sulphur compounds into light gas oil: I. Kinetics of the conversion of model compounds

2002 ◽  
Vol 56 (2) ◽  
pp. 68-75
Author(s):  
Jasna Jankovic ◽  
Dejan Skala
Keyword(s):  
Chemical Industry ◽  
Heterocyclic Compounds ◽  
Published Data ◽  
Gas Oil ◽  
Model Compounds ◽  
Sulphur Compounds ◽  
Middle Fraction ◽  
Light Gas Oil ◽  
Reactor Calculation ◽  
Kinetics Of

The problem of sulfur compounds conversion, particularly heterocyclic compounds, from the middle fraction of crude oil (light gas oil) was analyzed and will be published in several articles in the Chemical Industry Journal. Published data in the literature, covering the conversion of tiophene, benzothiophene and dibenzothiophene are presented in the first paper of this series with the goal of comparing and critically analyzing their usage for reactor calculation.

scholarly journals Integrated Information Theory and Isomorphic Feed-Forward Philosophical Zombies

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1073 ◽  
Author(s):  
Jake R. Hanson ◽  
Sara I. Walker
Keyword(s):  
Information Theory ◽  
Subjective Experience ◽  
Original System ◽  
Necessary Condition ◽  
Mathematical Framework ◽  
Hard Problem ◽  
The Hard Problem ◽  
Labeling Scheme ◽  
Integrated Information Theory ◽  
Integrated Information

Any theory amenable to scientific inquiry must have testable consequences. This minimal criterion is uniquely challenging for the study of consciousness, as we do not know if it is possible to confirm via observation from the outside whether or not a physical system knows what it feels like to have an inside—a challenge referred to as the “hard problem” of consciousness. To arrive at a theory of consciousness, the hard problem has motivated development of phenomenological approaches that adopt assumptions of what properties consciousness has based on first-hand experience and, from these, derive the physical processes that give rise to these properties. A leading theory adopting this approach is Integrated Information Theory (IIT), which assumes our subjective experience is a “unified whole”, subsequently yielding a requirement for physical feedback as a necessary condition for consciousness. Here, we develop a mathematical framework to assess the validity of this assumption by testing it in the context of isomorphic physical systems with and without feedback. The isomorphism allows us to isolate changes in Φ without affecting the size or functionality of the original system. Indeed, the only mathematical difference between a “conscious” system with Φ > 0 and an isomorphic “philosophical zombie” with Φ = 0 is a permutation of the binary labels used to internally represent functional states. This implies Φ is sensitive to functionally arbitrary aspects of a particular labeling scheme, with no clear justification in terms of phenomenological differences. In light of this, we argue any quantitative theory of consciousness, including IIT, should be invariant under isomorphisms if it is to avoid the existence of isomorphic philosophical zombies and the epistemological problems they pose.

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