DNA-based Eye Color Prediction of Pakhtun Population Living in District Swat KP Pakistan

Background: Forensic DNA Phenotyping (FDP) or the prediction of Externally Visible Characteristics (EVCs) from a DNA sample has gained importance in the last decade or so in the forensic community. If and when the traditional forensic DNA typing via Short Tandem Repeats (STR) fails due to the absence of a reference sample, an individual can be traced by a DNA sample using FDP. Amongst the many available EVCs, eye color is one such character that can be predicted by employing previously developed IrisPlex system using Single Nucleotide Polymorphism (SNP) assay. In this study, we applied the IrisPlex system to samples collected from population of District Swat for prediction of eye colours from DNA.Method: Eye colour digital photographs and buccal swab samples were collected from 267 Pakhtun individuals of District Swat. Any person with eye disease was excluded from the study. Genomic DNA was extracted through Phenol-Chloroform extraction method. The amplified SNPs were typed using Multiplexed Single Base Extension (SBE). The genotypes were checked for eye color phenotypes through IrisPlex online tool and correlation were checked between SNPs, Gender, pie score and eye color.Result: Brown eye color was found prevalent as compared to intermediate and blue. Females have highly brown eye color compared to males while males have intermediate and blue. Three SNPs rs12913832 (in the HERC2), rs1393350 (TYR gene), rs1800407 (OCA2 gene) were strongly significant to eye color. Pie score was also significant to eye color and rs12913832 SNP. IrisPlex analysis in 20 individuals of District Swat was performed. The prediction accuracy of IrisPlex for blue or brown was 100% in the studied individuals. However, the IrisPlex tool predicted the intermediate phenotype incorrectly as brown or blue.Conclusion: It is concluded from the data that intermediate eye colour was not predicted accurately, therefore, inclusion of more SNPs in the IrisPlex system is needed to predict intermediate eye colour accurately.Keywords: Eye colour, IrisPlex, SNPs, Multiplex genotyping, DNA, District Swa

Molecular Analysis of Cold Responsive (COR) Genes in Selected Sugarcane and Saccharum spontaneum L.

Background: Sugarcane (Saccharum derived) is an important commercially harvested crop in all parts of the world including tropical and subtropical areas. Saccharum hybrid is the tall perennial true grasses with sweet stalk rich in sucrose and it is the main source of sugar.Methods: Initially, 23 genes differentially expressed during cold stress in other Andropogoneae tribe members were retrieved from NCBI GenBank and were investigated in the genome of selected sugarcane and Saccharum spontaneum L. Samples. Their presence in our samples was analyzed and confirmed through PCR and Agarose Gel Electrophoresis (AGE).Results: Most of these (COR) genes (21/23) were confirmed in cold tolerant cultivars namely, SPSG-394, CP-851491 and Saccharum spontaneum L. while the least number of genes was observed in cold sensitive cultivar namely, CP-77400. Moreover 10 cold responsive genes, namely CBF1, CBF2, CBF3, COR 6.6, COR 78, COR 47, WCOR 80, WCOR14, C17 and 85KDA were sent for sequencing. Nucleotide sequences analysis of selected genes revealed the homology to stress responsive protein. Furthermore, during a conserved domain search, three conserved domains had been detected, namely gypsy transposon, zinc binding for reverse transcriptase and pepsin like aspartate proteases.Conclusion: The analysis of cold responsive genes in sugarcane could help breeders to select cold tolerant sugarcane cultivars through PCR amplification.Keywords:  NCBI; Sugarcane; COR genes; Conserved domain      

CARiMoL: A Configurable Hardware Accelerator for Ringand Module Lattice-Based Post-Quantum Cryptography

Abstract—CARiMoL is a novel run-time Configurable Hardware Accelerator for Ring and Module Lattice-based postquantum cryptography. It’s flexible design can be configured to key-pair generation, encapsulation, and decapsulation for NewHope and CRYSTALS-Kyber schemes using same hardware. CARiMoL offers run-time configurability for multiple security levels of NewHope and CRYSTALS-Kyber schemes, supporting both Chosen-Plaintext Attack (CPA) and Chosen-Ciphertext Attack (CCA) secure implementations. To the best of our knowledge, it is the first systematically designed full scale hardware accelerator for CCA-complaint multiple LBC schemes that supports run-time reconfigurability without the use of processor such as ARM Cortex series or soft core such as popular RISC-V processors. CARiMol performs logic sequencing on runtime and eliminates the cycle overhead associated with fetch and decode instructions. For the simultaneous use of Ring-LWE and Module-LWE, CARiMoL’s single hardware accelerator has 7x less area overhead as compared to combined standalone design of these schemes. CARiMoL exploits parallelism and extensive resource sharing among the different LBC schemes to achieve high performance and efficiency. Despite its reconfigurability, CARiMoL offers substantial speedup compared to the state-ofthe- art, i.e., 9x over NewHope-1024, 10x over NewHope-512, 17x over CRYSTALS-Kyber-1024, and 18x over CRYSTALSKyber-512

EFFECT OF SURFACE PROFILE OF MILD STEEL SUBSTRATE UPON ADHESION STRENGTH OF WC-11%CO FLAME SPRAY COATING

Improving surface properties especially high wear and impact resistance is always an existing challenge for automotive, aerospace, defense and agriculture industries etc. Surface engineering has developed various processes and methods to encounter this problem using plasma spray, electric arc, HVOF, PVD and flame spray etc. Amongst them flame spray technique has its own features to produce cermet coatings on steel substrates. In the present study, behavior of WC-11%Co coatings deposited on Mild Steel by means of flame spray process has been studied. It was found that surface roughness of substrate plays a vital role in the adhesion of such type of coatings. Therefore, different surface roughness profiles on substrate were generated by blasting sand and steel grits of various sizes. Surface profilometer was used to evaluate the surface roughness of substrates while the adhesion strength of flame spray coatings was determined by Pull test. SEM/EDX was used to study the morphology of flame spray coated samples and hardness was measured by micro-Vickers hardness tester. The results illustrate the optimum values of surface roughness to achieve better properties of WC-11%Co coatings for various engineering applications

QUENCHING AND PARTITIONING OF AISI 4340 STEEL

Quenching and Partitioning (Q & P), an innovative heat treatment process was developed by J. G. Speer in 2003 to produce third generation high strength steels with improved toughness for making chassis of high speed cars. The Q & P process was applied to the low alloy AISI-4340 steel for different partitioning time periods. The characterization process encompassed microscopic study through optical microscope and hardness testing by micro Vickers hardness tester. Also, corrosion behaviour of different samples, partitioned at various time periods was studied by Gamry Potentiostat. Light optical microscopy revealed that microstructure consists of lath martensite and inter lath blocky retained austenite. The volume fraction of the retained austenite showed an initial progressive increase in proportion with the partitioning time but later pursued   a decrease at partitioning time of 60 and 120 sec, steadily. The hardness values were increased from 236 HV for a non-heat treated sample to 477 HV for 15 sec partitioned sample thereafter decreased with increase in partitioning time. The electrochemical test results showed a continued mitigation in the corrosion rate from 3.581 mpy for non-heat treated sample to 0.08 mpy for the 30 sec partitioned steel sample

Genetic diversity associated with agronomic traits using microsatellite markers in Pakistani rice landraces

Genetic diversity underlies the improvement of crops by plant breeding. Land races of rice ( Oryza sativa L.) can contain some valuable alleles not common in modern germplasm. The aim here was to measure genetic diversity and its effect on agronomic traits among rice land-race genotypes grown in Pakistan. Diversity was measured using thirty-five microsatellite markers and seventy-five genotypes. Among the markers used a total of 142 alleles were detected at 32 polymorphic SSR loci, while three loci were monomorphic in Pakistani rice landraces. The number of alleles identified by each marker ranged from 2 to 13 with a mean of 4.4. Size differences between the smallest and largest alleles varied from 11bp to 71bp. Polymorphism information content ranged from 0.124 to 0.836, with an average of 0.569. At nine microsatellite loci, basmati-type landraces amplified more different alleles than those in the coarse-type. DNA markers RM70 and RM72 divided the rice landraces on the basis of days to flowering. A dendrogram based on total microsatellite polymorphism grouped 75 genotypes into four major clusters at 0.40 similarity coefficient, differentiating tall, late maturing and slender aromatic types from the short, early and bold non-aromatic ones. It inferred that Pakistani landraces have diverse genetic bases and can be utilized in future breeding programs. The DNA markers developed will assist in genotype identification, purity testing and plant variety protection

Generalized PVO‐based dynamic block reversible data hiding for secure transmission using firefly algorithm

In this paper, we proposed a novel generalized pixel value ordering–based reversible data hiding using firefly algorithm (GPVOFA). The sequence of minimum and maximum number pixels value has been used to embed the secret data while prediction and modification are held on minimum, and the maximum number of pixel blocks is used to embed the secret data into multiple bits. The host image is divided into the size of noncoinciding dynamic blocks on the basis of firefly quadtree partition, whereas rough blocks are divided into a larger size; moreover, providing more embedding capacity used small flat blocks size and optimal location in the block to write the information. Our proposed method becomes able to embed large data into a host image with low distortion. The rich experimental results are better, as compared with related preceding arts