The South-Western Alboran Earthquake Sequence of January-March 2016 and Its Associated Coulomb Stress Changes

Authors: Fida Medina, Taj-Eddine Cherkaoui

We expose the results of the study of the south-western Alboran seismic sequence of January-March 2016 and the stress perturbations it caused by means of Coulomb modeling. The use of data from numerous stations allowed us to relocate the largest events (Mw ≥ 3.8) south of those determined by IGN (Spain). The main shock of 25 January 2016 (Mw = 6.3) was relocated at 35.6133°N × 3.6888°W, at a hypocentral depth of 15.5 ± 6.0 km. The epicenters are aligned along two distinct clusters: The first runs N-S towards the Moroccan coast along Al-Idrissi fracture zone, while the second is centered on the Alboran ridge northern thrust fault. The focal mechanisms determined by different agencies correspond to a strike-slip/normal/reverse motion in the western cluster and thrusting in the eastern one. Coulomb stress change modeling shows that the main earthquake: (1) may have been triggered by stress accumulation by the 1994 and 2004 earthquakes; (2) has induced stress perturbations that provide a suitable explanation for the distribution of the aftershock clusters, including the eastern cluster. The prediction of the next event shows that it is likely to occur near the Moroccan coast.


Journal: Open Journal of Earthquake Research
DOI: 10.4236/ojer.2017.61002 (PDF)
Paper Id: 74358 (metadata)

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Posted in OJER | 1 Comment

Mandatory Pre-Employment Medical Examination—The Practice and the Law: Is It Justifiable?

Authors: Adomako-Kwakye Chris, Alexander Oti Acheampong, Akwasi Antwi-Kusi, Emmanuel Ameyaw

“An employee shall not in respect of any person seeking employment, or of persons already in his employment; discriminate against the person on grounds of gender, race, colour, ethnic origin, creed, social or economic status, disability or politics” (Section 14(e) of the Labour Act 651). The aim of this study is to evaluate the process of pre-employment medical report examinations, the law and the practice—in some public institutions in Kumasi. This study was conducted in two major public institutions in the Kumasi metropolis. The identities of respondents will remain confidential so as to maintain anonymity. Three groups of respondents were used in the study (Group 1: Employees who were employed within the past 5 years. Group 2: Eight medical doctors who have been mandated to conduct and write medical reports of prospective employees. Group 3: Ten senior human resource staff members of the two aforementioned public institutions). Continue reading

Posted in BLR | 1 Comment

Artificial Neural Network Model for Predicting Lung Cancer Survival

Authors: Hansapani Rodrigo, Chris P. Tsokos

The object of our present study is to develop a piecewise constant hazard model by using an Artificial Neural Network (ANN) to capture the complex shapes of the hazard functions, which cannot be achieved with conventional survival analysis models like Cox proportional hazard. We propose a more convenient approach to the PEANN created by Fornili et al. to handle a large amount of data. In particular, it provides much better prediction accuracies over both the Poisson regression and generalized estimating equations. This has been demonstrated with lung cancer patient data taken from the Surveillance, Epidemiology and End Results (SEER) program. The quality of the proposed model is evaluated by using several error measurement criteria.


Journal: Journal of Data Analysis and Information Processing
DOI: 10.4236/jadip.2017.51003 (PDF)
Paper Id: 74270 (metadata)

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Posted in JDAIP | 2 Comments

Reach Centroid Localization Algorithm

Authors: Adeniran Ademuwagun, Verdicchio Fabio

As much as accurate or precise position estimation is always desirable, coarse accuracy due to sensor node localization is often sufficient. For such level of accuracy, Range-free localization techniques are being explored as low cost alternatives to range based localization techniques. To manage cost, few location aware nodes, called anchors are deployed in the wireless sensor environment. It is from these anchors that all other free nodes are expected to estimate their own positions. This paper therefore, takes a look at some of the foremost Range-free localization algorithms, detailing their limitations, with a view to proposing a modified form of Centroid Localization Algorithm called Reach Centroid Localization Algorithm. The algorithm employs a form of anchor nodes position validation mechanism by looking at the consistency in the quality of Received Signal Strength. Each anchor within the vicinity of a free node seeks to validate the actual position or proximity of other anchors within its vicinity using received signal strength. Continue reading

Posted in WSN | 1 Comment

The Retailers’ Choices of Profit Strategies in a Cournot Duopoly: Relative Profit and Pure Profit

Author: Feifei Zheng

To investigate the influence of the relative performance on retailers’ choices of profit strategies, a Cournot competition model composed of two private retailers is proposed, in which retailers are facing the problem of choosing a strategy from pure profit and relative profit. The study shows that, 1) when its competitor pursues relative profit, the retailer will adopt pure profit strategy if the degree of relative performance of its competitor is high enough. Otherwise, the retailer will adopt the relative profit strategy. 2) The more relative profit-maximizing retailers there are, the more intense market competition will be, the lower market price will decrease. 3) Under a certain degree of relative performance, the strategy profiles (relative profit, relative profit), (relative profit, pure profit) and (pure profit, relative profit) are all likely to be Nash equilibrium, except the strategy profile (pure profit, pure profit).


Journal: Modern Economy
DOI: 10.4236/me.2017.82014 (PDF)
Paper Id: 74214 (metadata)

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Improved Representation of Biological Information by Using Correlation as Distance Function for Heatmap Cluster Analysis

Authors: Axel Tiessen, Edgar A. Cubedo-Ruiz, Robert Winkler

Heatmap cluster figures are often used to represent data sets in the omic sciences. The default option of the frequently used R heatmap function is to cluster data according to Euclidean distance, which groups data mainly to their numerical value and not to its relative behaviour. The disadvantage of using the default clustering dendrograms of R is demonstrated. Instead, a script is provided that uses correlation as distance function, which better reveals biologically meaningful information. This optimized script was used to detect heterotic groups in Vitamaize hybrids (purple maize with high nutraceutical value). A field trial with different genetic combinations was performed through an agricultural phenomics approach (holistic evaluation of the phenotype). The grain yield data and other phenotypic variables were represented through heatmap figures. In the data set of Mexican tropical maize germplasm, at least three heterotic groups were detected, in contrast to only two heterotic groups reported earlier in temperate yellow maize from USA and Europe. This optimized script for heatmap correlation bicluster can also be used to better represent metabolomic fingerprints and transcriptomic data sets.


Journal: American Journal of Plant Sciences
DOI: 10.4236/ajps.2017.83035 (PDF)
Paper Id: 74191 (metadata)

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Posted in AJPS | 2 Comments

Sensitivity Study of a Valve Recession Model

Authors: Edgar E. Vera-Cardenas, Roger Lewis, Tom Slatter

The aim of this work was to carry out a sensitivity analysis of a valve recession model. For the sensitivity study, the effects of the parameters on the valve recession model were investigated, for both, light duty and heavy duty engines. For light duty engines, it was observed that the impact wear of component parameters had the greatest effect on valve recession and for heavy duty engines, the sliding wear of component parameters had an increasing contribution to the overall valve recession.


Journal: Open Journal of Applied Sciences
DOI: 10.4236/ojapps.2017.72005 (PDF)
Paper Id: 74161 (metadata)

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Posted in OJAppS | 2 Comments

Anticancer Effects of Curcumin, Artemisinin, Genistein, and Resveratrol, and Vitamin C: Free Versus Liposomal Forms

Authors: Jerry T. Thornthwaite, Hare R. Shah, Spencer R. England, Lee H. Roland, Seth P. Thibado, Thomas K. Ballard, Brandon S. Goodman

Cancer prevention supplements, which also provide effective treatment with minimal side effects, are urgently needed. An accurate, fast assay system is described that reveals the ability of chemically defined products, such as curcumin, genistein, resveratrol, artemisinin, and vitamin C, to kill K562 Erythroleukemic cells in vitro. In addition, curcumin and vitamin C were encapsulated into fatty acid micelles named NutraNanoSpheresTM (NNS) using all natural products. A unique viability stain, which allows the rapid staining of dead cells by membrane penetration using Propidium Iodide, was used to measure the cell viability by flow cytometry. Cell death by alteration of the cell membranes could be seen within 30 s of exposure to curcumin. The other free components required 0.5 – 70 h to see maximum killing, suggesting a more metabolic and/or apoptotic route of cancer cell destruction. Vitamin C up to 1 × 104 μmol/well did not affect K562 cell viability. The vitamin C-NNS (3.2 nm diameter-60 mg/50 μL) showed an LD50 = 133 μmol/well ± 11 SD (n = 4), which was over 75 times more potent than the free vitamin C. The curcumin-NNS (7.4 nm diameter-25 mg/50 μL) resulted in an LD50 = 41.3 μmol/well ± 5.6 SD (n = 8) and represented a 264 fold increase in activity to destroy the cancer cells. The clinical goal is to develop water-soluble mixtures of anti-cancer compounds in the NNS with their high bioavailability (>90%) and without degradation in the stomach for preventing and curing cancer.


Journal: Advances in Biological Chemistry
DOI: 10.4236/abc.2017.71002 (PDF)
Paper Id: 74126 (metadata)

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Posted in ABC | 2 Comments

An Application of Heterogeneous Bayesian Regression Models with Time Varying Coefficients to Explore the Relationship between Customer Satisfaction and Shareholder Value

Authors: Duncan K. H. Fong, Qian Chen, Zhe Chen, Rui Wang

The authors propose new Bayesian models to obtain individual-level and time-varying regression coefficients in longitudinal data involving a single observation per response unit at each time period. An application to explore the association between customer satisfaction and shareholder value is included in the paper. The Bayesian models allow the flexibility of incorporating industry and firm factors in the context of the application to help explain variations of the regression coefficients. Results from the analysis indicate that the effect of customer satisfaction on shareholder value is not homogeneous over time. The proposed methodology provides a powerful tool to explore the relationship between two important business concepts.


Journal: Open Journal of Statistics
DOI: 10.4236/ojs.2017.71004 (PDF)
Paper Id: 74082 (metadata)

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Posted in OJS | 2 Comments

Death and Modern Science: The Hidden Connections, Profound Implications, and a Question of Hope

Author: Allen D. Allen

The purpose of this paper is to provide a few examples of how several branches of science have interesting and even profound implications for our understanding of death. The method will be to analyze some established principles from biology, astrophysics, mathematics and quantum mechanics. There are four results: First, the death and biodegradable bodies of Earth’s animals played a significant role in the evolution of the human species. In this ironic sense, we owe our lives to death. Second, unnatural death can be frame-dependent. A person can be alive and well in his proper reference frame despite having died an unnatural death in an external frame. Third, if the multiverse theory is not valid, then the death of the universe is inevitable and irreversible. This is tantamount to the law of increasing entropy. Fourth, events do not go out of existence with the passage of time. Rather, what is lost to the past is the high probability associated with detecting present events. Continue reading

Posted in OJPP | 2 Comments