Study of atomic collisions by charged particles

The Present study of collision processes involving positive ions provides a sensitive test of the approximate method to develop positron and electron scattering and yields useful information about the role of different works in collision dynamics. This study of laser assisted collision process involves an accurate description of the projectile and the target states in the presence of laser field.Â

LacEDAemon : a programming environment for the multiparadigm language leda

Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial claims of multiparadigm languages have yet to be validated. The availability of a programming environment would encourage and expedite academic and industrial validation. Creating a programming environment is considered an extremely labor intensive activity. Further complications arise from the fact that programming environment creation is an experimental activity: the component mix that best expedites program development in a new programming language cannot be predicted in advance. As a result, few new languages are ever verified in the context of a supportive programming environment. Leda, a unique programming language that includes the functional, imperative, logic and object-oriented paradigms, is at this juncture. This thesis describes the structure of an environment framework that allows for experimental study of the necessary components of a multiparadigm programming language environment. New tools and techniques, as well as changes to traditional tools and techniques are required to allow programmers to abstract effectively across paradigms. This research examines the topic by creating LacEDAemon, a testbed programming environment for the multiparadigm programming language Leda, within the framework of a variety of integrated, cohesive tools. LacEDAemon relies on a hypertool-based toolkit integration framework architecture that affords both loose and tight control integration, as well as data integration, using existing, off-the-shelf tools written in a variety of programming languages. Along with demonstrating the viability of hypertool integration as a low-cost approach for constructing programming environments, LacEDAemon provides a vehicle for: determining an effective multiparadigm programming toolset, studying multiparadigm program design, conducting studies of multiparadigm program visualization, exploring different strategies for software reuse, and examining the merits of conducting all programming activity within the database-centered environment approach. This environment also provides support for investigations in the areas of multiparadigm algorithms, multiparadigm software metrics, and multiparadigm program comprehension. Various techniques for evaluating integrated environments are also applied to LacEDAemon

APOB gene signal peptide deletion polymorphism is not associated with infertility in Indian men

Apolipoprotein B (APOB) plays a key role in lipoprotein metabolism and plasma lipid transport. It has been shown that about two-thirds of male mice heterozygous for ApoB were infertile. Moreover, a 3-codon deletion polymorphism (rs11279109) in the signal peptide region of the APOB gene has been shown to be a risk factor for infertility in Slovenian men, but its association with infertility in Indian men has not been evaluated to date. Hence, in the present study, we have genotyped this polymorphism in 545 Indian men, including 294 infertile and 251 fertile men. Our results show that the distribution of this deletion polymorphism was consistent with the Hardy-Weinberg equilibrium in both infertile and fertile men. No statistically significant difference was observed in the distribution of the APOB signal peptide deletion polymorphism between infertile and fertile men (χ2=0.156, P=.925 for genotypes; χ2=0.015, P=.903 for alleles). Moreover, no significant difference was observed when infertile and fertile men were categorized on the basis of presence (D/D and D/W genotypes) or absence (W/W genotypes) of deletion (odds ratio, 0.955; 95% confidence interval, 0.644-01.418; P=.820). Our study concludes that the APOB gene deletion polymorphism is not a risk factor for the development of infertility in Indian men

Genome-Wide Discovery and Deployment of Insertions and Deletions Markers Provided Greater Insights on Species, Genomes, and Sections Relationships in the Genus Arachis

Small insertions and deletions (InDels) are the second most prevalent and the most abundant structural variations in plant genomes. In order to deploy these genetic variations for genetic analysis in genus Arachis, we conducted comparative analysis of the draft genome assemblies of both the diploid progenitor species of cultivated tetraploid groundnut (Arachis hypogaea L.) i.e., Arachis duranensis (A subgenome) and Arachis ipaënsis (B subgenome) and identified 515,223 InDels. These InDels include 269,973 insertions identified in A. ipaënsis against A. duranensis while 245,250 deletions in A. duranensis against A. ipaënsis. The majority of the InDels were of single bp (43.7%) and 2–10 bp (39.9%) while the remaining were >10 bp (16.4%). Phylogenetic analysis using genotyping data for 86 (40.19%) polymorphic markers grouped 96 diverse Arachis accessions into eight clusters mostly by the affinity of their genome. This study also provided evidence for the existence of “K” genome, although distinct from both the “A” and “B” genomes, but more similar to “B” genome. The complete homology between A. monticola and A. hypogaea tetraploid taxa showed a very similar genome composition. The above analysis has provided greater insights into the phylogenetic relationship among accessions, genomes, sub species and sections. These InDel markers are very useful resource for groundnut research community for genetic analysis and breeding applications

Identification and Evaluation of Single-Nucleotide Polymorphisms in Allotetraploid Peanut (Arachis hypogaea L.) Based on Amplicon Sequencing Combined with High Resolution Melting (HRM) Analysis

The cultivated peanut (Arachis hypogaea L.) is an allotetraploid (AABB) species derived from the A-genome (Arachis duranensis) and B-genome (Arachis ipaensis) progenitors. Presence of two versions of a DNA sequence based on the two progenitor genomes poses a serious technical and analytical problem during single nucleotide polymorphism (SNP) marker identification and analysis. In this context, we have analyzed 200 amplicons derived from expressed sequence tags (ESTs) and genome survey sequences (GSS) to identify SNPs in a panel of genotypes consisting of 12 cultivated peanut varieties and two diploid progenitors representing the ancestral genomes. A total of 18 EST-SNPs and 44 genomic-SNPs were identified in 12 peanut varieties by aligning the sequence of A. hypogaea with diploid progenitors. The average frequency of sequence polymorphism was higher for genomic-SNPs than the EST-SNPs with one genomic-SNP every 1011 bp as compared to one EST-SNP every 2557 bp. In order to estimate the potential and further applicability of these identified SNPs, 96 peanut varieties were genotyped using high resolution melting (HRM) method. Polymorphism information content (PIC) values for EST-SNPs ranged between 0.021 and 0.413 with a mean of 0.172 in the set of peanut varieties, while genomic-SNPs ranged between 0.080 and 0.478 with a mean of 0.249. Total 33 SNPs were used for polymorphism detection among the parents and 10 selected lines from mapping population Y13Zh (Zhenzhuhei × Yueyou13). Of the total 33 SNPs, nine SNPs showed polymorphism in the mapping population Y13Zh, and seven SNPs were successfully mapped into five linkage groups. Our results showed that SNPs can be identified in allotetraploid peanut with high accuracy through amplicon sequencing and HRM assay. The identified SNPs were very informative and can be used for different genetic and breeding applications in peanut

Isomorphism and the N-Queens problem

The N-Queens problem is commonly used to teach the programming technique of backtrack search. The N-Queens problem may also be used to illustrate the important concept of isomorphism. Here we show how the N-Queens problem can be used as a vehicle to teach the concepts of isomorphism, transformation groups or generators, and equivalence classes. We indicate how these ideas can be used in a programming exercise. We include a bibliography of 29 papers

Molecular Mapping of Oil Content and Fatty Acids Using Dense Genetic Maps in Groundnut (Arachis hypogaea L.)

Enhancing seed oil content with desirable fatty acid composition is one of the most important objectives of groundnut breeding programs globally. Genomics-assisted breeding facilitates combining multiple traits faster, however, requires linked markers. In this context, we have developed two different F2 mapping populations, one for oil content (OC-population, ICGV 07368 × ICGV 06420) and another for fatty acid composition (FA-population, ICGV 06420 × SunOleic 95R). These two populations were phenotyped for respective traits and genotyped using Diversity Array Technology (DArT) and DArTseq genotyping platforms. Two genetic maps were developed with 854 (OC-population) and 1,435 (FA-population) marker loci with total map distance of 3,526 and 1,869 cM, respectively. Quantitative trait locus (QTL) analysis using genotyping and phenotyping data identified eight QTLs for oil content including two major QTLs, qOc-A10 and qOc-A02, with 22.11 and 10.37% phenotypic variance explained (PVE), respectively. For seven different fatty acids, a total of 21 QTLs with 7.6–78.6% PVE were identified and 20 of these QTLs were of major effect. Two mutant alleles, ahFAD2B and ahFAD2A, also had 18.44 and 10.78% PVE for palmitic acid, in addition to oleic (33.8 and 17.4% PVE) and linoleic (41.0 and 19.5% PVE) acids. Furthermore, four QTL clusters harboring more than three QTLs for fatty acids were identified on the three LGs. The QTLs identified in this study could be further dissected for candidate gene discovery and development of diagnostic markers for breeding improved groundnut varieties with high oil content and desirable oil quality