scholarly journals On Efficient Zero Ring Labeling and Restricted Zero Ring Graphs

2021 ◽  
Vol 14 (1) ◽  
pp. 268-277
Author(s):  
Francis Joseph Hernandez Campena ◽  
Dhenmar Chua ◽  
Floresto Franco, Jr. ◽  
Jon-jon Casica
Keyword(s):  
Cactus Graphs ◽  
Labeling Scheme ◽  
Ring Graph

In [3], Acharya et al. introduced the notion of a zero ring labeling of a connectedgraph G, where vertices are labeled by the elements of a zero ring such that the sum of the labels of adjacent vertices is not the additive identity of the ring. Archarya and Pranjali [1] also constructed a graph based on a finite zero ring called the zero ring graph. In [5], Chua et al. defined a class of zero ring labeling called efficient zero ring labeling and it was shown that a labeling scheme exists for some families of trees. In this paper, we provide an efficient zero ring labeling for some classes of graphs. We also introduce the notion of the restricted zero ring graphs and use them to show that a zero ring labeling exists for some classes of cactus graphs.

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.

ON RINGS R WHOSE GRAPHS Γ(R) SATISFY CONDITION (Kp)

2011 ◽  
Vol 10 (04) ◽  
pp. 665-674
Author(s):  
LI CHEN ◽  
TONGSUO WU
Keyword(s):  
Prime Number ◽  
Commutative Ring ◽  
Complete Graph ◽  
Zero Divisor ◽  
Commutative Rings ◽  
Satisfy Condition ◽  
Induced Subgraph ◽  
Zero Divisor Graph ◽  
Ring Graph ◽  
Finite Commutative Rings

Let p be a prime number. Let G = Γ(R) be a ring graph, i.e. the zero-divisor graph of a commutative ring R. For an induced subgraph H of G, let CG(H) = {z ∈ V(G) ∣N(z) = V(H)}. Assume that in the graph G there exists an induced subgraph H which is isomorphic to the complete graph Kp-1, a vertex c ∈ CG(H), and a vertex z such that d(c, z) = 3. In this paper, we characterize the finite commutative rings R whose graphs G = Γ(R) have this property (called condition (Kp)).

scholarly journals Multiplicative Zagreb indices of cacti

2016 ◽  
Vol 08 (03) ◽  
pp. 1650040 ◽  
Author(s):  
Shaohui Wang ◽  
Bing Wei
Keyword(s):  
Graph Theory ◽  
Lower Bounds ◽  
Connected Graph ◽  
Upper And Lower Bounds ◽  
Extremal Graphs ◽  
Zagreb Index ◽  
Zagreb Indices ◽  
Material Chemistry ◽  
Cactus Graph ◽  
Cactus Graphs

Let [Formula: see text] be multiplicative Zagreb index of a graph [Formula: see text]. A connected graph is a cactus graph if and only if any two of its cycles have at most one vertex in common, which is a generalization of trees and has been the interest of researchers in the field of material chemistry and graph theory. In this paper, we use a new tool to obtain the upper and lower bounds of [Formula: see text] for all cactus graphs and characterize the corresponding extremal graphs.

The arithmetical rank of the edge ideals of cactus graphs

2017 ◽  
Vol 45 (12) ◽  
pp. 5407-5419
Author(s):  
Margherita Barile ◽  
Antonio Macchia
Keyword(s):  
Edge Ideals ◽  
Arithmetical Rank ◽  
Cactus Graphs

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.

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