472 research outputs found
Measurement and modelling of nitrogen dioxide (NO2) emissions: a marker for traffic-related air pollution in Doha, Qatar
In the State of Qatar, recent statistics show a continued increase in the motor-vehicle fleet commensurate with population growth and economic development. This trend, together with the rapid expansion of urban areas and the increased dependence on automobiles, has resulted in an increase in pollution near traffic sources, indicating that the risk of exposure to vehicles’ emissions is higher and that these emissions must be considered in terms of their spatial and temporal occurrence. So far, there are no studies conducted in Qatar to evaluate the traffic-related air pollution. This study is carried out to monitor the levels of nitrogen dioxide (NO2) as a marker of pollution related to traffic. The aim of this study is to build a baseline for traffic-related pollution in Qatar by monitoring and modelling NO2 emissions. The levels of traffic-related air pollution by NO2 were investigated at six major intersections along the C-ring road. The relationship of NO2 was established with traffic volume in each intersection during December 2012 and March–April 2013. Significant differences were established between the pollutant concentrations in each intersection. The CALifornia LINE Source Dispersion Model, version 4 air dispersion model employed had estimated the influence of the measured NO2 concentration on the predicted NO2 values by 31.12%. The low percentage may have accounted for the uncertainties brought by the vehicle emission factor and non-availability of temporal dynamics during the time of sampling. Non-parametric Spearman’s correlation test resulted in a significant correlation between measured and predicted values of NO2 concentrations, rs = 0.525 and p = 0.012.The author would like to thank Qatar University for funding this study [QUST-CAS-FALL-12/13-19
DRAFT: List Coloring and n-Monophilic Graphs
In 1990, Kostochka and Sidorenko proposed studying the smallest number of list-colorings of a graph G among all assignments of lists of a given size n to its vertices. We say a graph G is n-monophilic if this number is minimized when identical n-color lists are assigned to all vertices of G. Kostochka and Sidorenko observed that all chordal graphs are n-monophilic for all n. Donner (1992) showed that every graph is n-monophilic for all sufficiently large n. We show that cycles are n-monophilic for all n; G is not 2-monophilic iff all its cycles are even and it contains at least two cycles whose union is not K2,3; for every n ≥ 2 there is a graph that is n-choosable but not n-monophilic.
sj-docx-1-ajr-10.1177_19458924241243123 - Supplemental material for Predictors of Subjective Olfactory Dysfunction and Sinonasal Quality-of-Life After Endoscopic Transsphenoidal Pituitary Surgery
Supplemental material, sj-docx-1-ajr-10.1177_19458924241243123 for Predictors of Subjective Olfactory Dysfunction and Sinonasal Quality-of-Life After Endoscopic Transsphenoidal Pituitary Surgery by Bita R. Naimi, Douglas Farquhar, Alexander N. Duffy, Emily A. Garvey, Patrick Kelly, Chase Kahn, Riyana Doshi, Riya Shah, Mindy R. Rabinowitz, Elina Toskala, Marc Rosen, James J. Evans and Gurston G. Nyquist in American Journal of Rhinology & Allergy</p
sj-docx-2-ajr-10.1177_19458924241243123 - Supplemental material for Predictors of Subjective Olfactory Dysfunction and Sinonasal Quality-of-Life After Endoscopic Transsphenoidal Pituitary Surgery
Supplemental material, sj-docx-2-ajr-10.1177_19458924241243123 for Predictors of Subjective Olfactory Dysfunction and Sinonasal Quality-of-Life After Endoscopic Transsphenoidal Pituitary Surgery by Bita R. Naimi, Douglas Farquhar, Alexander N. Duffy, Emily A. Garvey, Patrick Kelly, Chase Kahn, Riyana Doshi, Riya Shah, Mindy R. Rabinowitz, Elina Toskala, Marc Rosen, James J. Evans and Gurston G. Nyquist in American Journal of Rhinology & Allergy</p
Introduction to the thematic collection: Naturally fractured reservoirs
Accepted Author ManuscriptApplied Geolog
Supplementary Materials: When is variable importance estimation in species distribution modelling affected by spatial correlation?
Code and Data
Metadata for Variable importance graphs using simulated variables
This data entry contains the code and data generated for creating the variable importance
graphs as published in the article:
Harisena,
N. V., Groen, T. A., Toxopeus, A. G., & Naimi, B. (2021). When is variable
importance estimation in species distribution modelling affected by spatial
correlation? Ecography, 44(5), 778–788. 10.1111/ecog.05534
Contents
1. A Readme.docx
file
2. Main_script.R
file; Includes the code to be run and the instructions for running the same
3. Functions.R file;
Includes all the functions to be loaded in R before running the Main_script.R
file
4. Generated_Data;
folder with all .Rdata files for each code step as detailed in Main_script.R
along with the output .csv and .jpg files that can be matched with the output
images in the publication.A CODECHECK certificate is available confirming that the computations underlying this article could be independently executed: https://doi.org/10.5281/zenodo.5574909</p
Intrinsically n-Linked Graphs
For every natural number n, we exhibit a graph with the property that every embedding of it in ℝ3 contains a non-split n-component link. Furthermore, we prove that our graph is minor minimal in the sense that every minor of it has an embedding in ℝ3 that contains no non-split n-component link
Study of genetic variation of myostatin (MSTN) and calpastatin (CAST) genes in two native Iraqi sheep by PCR-RFLP technique
The study aimed to research the genetic variation of the Awassi and Naimi sheep breeds using the two genes myostatin (MSTN) and calpastatin (CAST). Blood samples were collected from 100 animals of the two breeds, and then DNA was extracted using a commercial kit. We used the PCR and RFLP techniques to determine genotypes and allele frequencies. The results showed that the MSTN and CAST genes are polymorphic. The MSTN gene has allelic frequencies (M and m) of 0.81, 0.19, and 0.76, 0.24 in the Awassi and Naimi breeds, respectively. The frequencies of the genotypes MM, Mm, and mm in the Awassi breed were 0.70, 0.19, and 0.11, but in the Naimi breed, they were 0.67, 0.13, and 0.20, respectively. Moreover, the number of alleles observed (Na), the effective number of alleles (Ne) and observed (Ho), and expected (He) heterozygosity were found to be 3, 2.30, 0.24, and 0.35 in the Awassi breed and 2, 1.62, 0.17, and 0.26 in the Naimi breed, respectively. The allelic frequencies (M and N) of the CAST of the Awassi and Naimi breeds are 0.86, 0.14, and 0.88, 0.12, respectively. The frequencies of the genotypes MM, MN, and NN in the Awassi breed were 0.94, 0.04, and 0.02, respectively, while for the Naimi breed, they were 0.95, 0.02, and 0.03, respectively. Also, the Na, Ne, Ho, and He were found to be 2.8, 1.72, 29.6, and 28.57 in the Awassi breed and 1.10, 1.23, 0.17, and 0.15 in the Naimi breed, respectively. According to the chi-square of MSTN and CAST genes, both breeds were not in Hardy-Weinberg equilibrium balance
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