Agro-morphological and molecular diversity in different maturity groups of Indian cauliflower (Brassica oleracea var. botrytis L.)

The present study analysed the molecular and agro-morphological diversity in a set of 92 diverse cauliflower genotypes and two each of cabbage and broccoli. Field evaluation of the genotypes was done in randomized block design (RBD) at two locations (i.e. IARI, New Delhi and ICAR-RC-NEH Region, Barapani) during Rabi2019-20. Genotypes showed variation for all the eight observed traits at both locations and, the differences in early and snowball groups were distinct. Pusa Meghna, DC-33-8, Pusa Kartiki and CC-14 were earliest for curd initiation. Genotypes showed higher values for curd traits at Delhi. Molecular diversity was detected with 90 polymorphic simple sequence repeats (SSR). Number of alleles ranged from 1 to 9 with mean value of 2.16 and the highest polymorphic information content (PIC) value was observed for primer BoGMS0742 (0.68) with a mean value of 0.18. Cluster analysis using agro-morphological traits substantiated classification of the genotypes for maturity groups. However, SSR analysis revealed four clusters and with a composite pattern of genotype distribution. STRUCTURE analysis also supported the admixture and four subpopulations. The studyindicates for introgression of genetic fragments across the maturity groups, thereby, potential for use in further genetic improvement and heterosis breeding.

THE METHOD AND MULTIPLE DEVICE OF A MATRIX SEARCH FOR SIMPLE AND COMPLEX SAMPLES

The research consists in the development of hardware pattern search methods that use the principles of shared access and parallel data processing inherent in associative memory. Reducing the search time is achieved through the formation and parallel processing of a binary (characteristic) matrix of comparisons of pattern symbols and text. A composite pattern has been introduced, it allows flexible description of search terms. The characteristic matrix is in the form of a parallelogram; it consists of rows shifted to the right, starting from the first row. This form allows you to conduct a parallel search for simple and composite patterns on the diagonal elements of the matrix. The developed method supports hardware search in the characteristic matrix. It is distinguished by the simultaneous consideration of local and distributed relationships between the elements of the diagonals and rows of the matrix. Separate calculation of starting values along the diagonals of the matrix allows you to independently search for two types of samples by calculating in the cells of the diagonals of the characteristic matrix of two output search functions. The method has linear time and quadratic hardware complexity. The clock pulse duration is determined by the sum of the delays of the comparison circuit for a pair of symbols, a D-flip-flop and a two-input element I. The homogeneous structure of the matrix search device, the use of standard operations allow the device to be implemented on a promising FPGA element base, which determines its use in high-performance systems for processing and transmitting heterogeneous information.

Analytical Pattern in Dermatoglyphics

Aim: The aim was to study the analytical pattern in dermatoglyphics. Materials and Methods: The study was conducted in Skin Opd, Sree Balaji Medical College and Hospital, Chennai, Tamil Nadu, India. A total of 100 participants with different hand dermatitis pattern were included in the study. All patients were subjected to: 1. Complete history, 2. Dermatological examination, 3. Finger print pattern of all the patients, 4. Informed consent. Results: This hospital-based study involved 100 patients with Psoriasis (47) Eczema (23) Dermatophytosis (12), Syphilis (3), Drug reaction (5) Palmar keratoderma. (10), the most common being psoriasis and eczema. In psoriasis patients, whorl pattern was the commonest (48.29%), followed by 31.43% loop, 21.43% arch and 2.86% composite pattern. In eczema patients, loop and whorl pattern was found in (44.74%) followed by 34.23% loop, 22.43% arch and 1.86% composite pattern. Conclusion: The palmar pattern intensities were increased in both sexes, while the digital pattern intensities were increased in males and decreased in females. TFRC was increased in males and decreased in female patients. In both cases and controls, TFRC was more in males than females. A-b count showed a significant reduction in both sexes.

Study of Fingerprint Patterns in Population of a Community

Introduction: Fingerprints, serve as one of the crucial tools for identification of the individual for various purposes. Sex, being one of those tools, researchers have suggested the use of fingerprints for gender identification. The objective of the study was to observe the distribution of various fingerprints patterns in the population of a community, together with the most prevalent pattern. Methods: This descriptive cross-sectional study was conducted in the population of Duwakot VDC, Bhaktapur from May 2019 to July 2019. Ethical clearance was obtained from the Institutional Review Committee with reference no. 2812201804. One hundred and ninety-six individuals of 18 to 60 years of age were enrolled. Fingerprints of all ten fingers were taken and studied to see the distribution pattern and analyzed for gender differences. Simple random sampling was done and the sample size was calculated with a prevalence of 50%. The data obtained were computed and analyzed using Excel to find the results. Results: The study showed the highest frequency of loops 1033 (52.71%) followed by whorls 537 (27.38%), arches 300 (15.28%) and composite pattern 90 (4.61%). The radial loops were observed more in the males 397 (5.54%) of total males whereas ulnar loops were observed more in the females 636 (96.38%) of total females. Among whorls, the concentric whorls were seen more in males 245 (52.03%) whereas the spiral whorls were seen more in the females 292 (53.27%). Conclusions: For standard authenticity of the sexual dimorphism, fingerprint patterns, can also be considered for gender identification purposes

Numerical Study on the Evolution of Agglomerate Breakage and Microstructure of Angular Gravel in Cyclic Soil-Structure Interface Test

The discrete element method (DEM) was used to study the behavior of crushable angular gravel in the cyclic soil-structure interface test. Two shapes of agglomerates were simulated by filling two scanned angular gravels with spheres connected by bonds that were given the shear and normal strength complying with Gaussian distribution to simulate random flaws. The proportion of these two shapes to constitute a numerical sample was named composite pattern. Good agreement in terms of macromechanical behavior between DEM simulation and laboratory test results has been attained. Agglomerate breakage is deeply influenced by the interface shearing behavior and mainly occurs on the interface and the space nearby. Graphs of interface after shearing are introduced to directly and clearly reflect microbehavior of breakage. The evolution of microstructure including anisotropies and coordination numbers is significantly influenced by normal stress and agglomerate breakage, and composite pattern determines the magnitudes of shear force anisotropy and coordination numbers. The evolution of contact orientation distribution is the forming cause of the “adjustment phase,” during which once the shearing direction changes, the values of contact normal anisotropy and normal force anisotropy will slump to their nadir and then rise back again.