Second order parameter-uniform convergence for a finite difference method for a singularly perturbed linear reaction-diffusion system

A singularly perturbed linear system of second order ordinary differential equations of reaction-diffusion type with given boundary conditions is considered. The leading term of each equation is multiplied by a small positive parameter. These singular perturbation parameters are assumed to be distinct. The components of the solution exhibit overlapping layers. Shishkin piecewise-uniform meshes are introduced, which are used in conjunction with a classical finite difference discretisation, to construct a numerical method for solving this problem. It is proved that the numerical approximations obtained with this method is essentially second order convergent uniformly with respect to all of the parameters

Estimation of genetic diversity in rice (Oryza sativa L.) genotypes using SSR markers and morphological characters

Thirty rice genotypes comprising land races, pure lines, somaclones, breeding lines and varieties specifically adapted to costal saline environments were characterized by SSR markers and morphological characters in this study. Out of 35 primers of SSR markers, 28 were found to be polymorphic. The PIC value ranged from 0.064 (RM 274) to 0.72 (RM 580) with an average of 0.46. The Jaccard’s similarity coefficient ranged from 0.42 to 0.90. At the genetic similarity of 56% the genotypes were grouped into five clusters. PCA components explained 41.6% of variation. There was overlapping of tolerant genotypes and susceptible genotypes within the cluster. Morphological traits of each genotype were measured on five randomly chosen plants. The matrix of average taxonomic distance was estimated using Euclidian distance. The average taxonomic distance ranged from 1.5 to 7.78. At a Euclidean distance of 3.49, the 30 genotypes were grouped into IV clusters. The clustering pattern clearly grouped the genotypes based on their response to salinity and clustering was not based ontheir geographical origin. PCA components explained 38.4% of variation

Variation in the Biomolecular Interactions of Nickel(Ii) Hydrazone Complexes Upon Tuning the Hydrazide Fragment

Three new bivalent nickel hydrazone complexes have been synthesised from the reactions of [NiCl2(PPh3)(2)] with H2L {L = dianion of the hydrazones derived from the condensation of o-hydroxynaphthaldehyde with furoic acid hydrazide (H2L1) (1)/thiophene-2-acid hydrazide (H2L2) (2)/isonicotinic acid hydrazide (H2L3) (3)} and formulated as [Ni(L-1)(PPh3)] (4), [Ni(L-2)(PPh3)] (5) and [Ni(L-3)(PPh3)] (6). Structural characterization of these compounds 4-6 were accomplished by using various physico-chemical techniques. Single crystal X-ray diffraction data of complexes 4 and 5 proved their distorted square planar geometry. In order to ascertain the potential of the above synthesised compounds towards biomolecular interactions, additional experiments involving interaction with calf thymus DNA (CT DNA) and bovine serum albumin (BSA) were carried out. All the ligands and corresponding nickel(II) chelates have been screened for their scavenging effect towards O-2(-), OH and NO radicals. The efficiency of complexes 4-6 to arrest the growth of HeLa, HepG-2 and A431 tumour cell lines has been studied along with the cell viability test against the non-cancerous NIH 3T3 cells under in vitro conditions.University Grants Commission, New Delhi under the UGC-SAP-DRSRobert A. Welch Foundation F-0003Chemistr

WPO-Net: Windowed Pose Optimization Network for Monocular Visual Odometry Estimation.

Visual odometry is the process of estimating incremental localization of the camera in 3-dimensional space for autonomous driving. There have been new learning-based methods which do not require camera calibration and are robust to external noise. In this work, a new method that do not require camera calibration called the "windowed pose optimization network" is proposed to estimate the 6 degrees of freedom pose of a monocular camera. The architecture of the proposed network is based on supervised learning-based methods with feature encoder and pose regressor that takes multiple consecutive two grayscale image stacks at each step for training and enforces the composite pose constraints. The KITTI dataset is used to evaluate the performance of the proposed method. The proposed method yielded rotational error of 3.12 deg/100 m, and the training time is 41.32 ms, while inference time is 7.87 ms. Experiments demonstrate the competitive performance of the proposed method to other state-of-the-art related works which shows the novelty of the proposed technique

Knowledge, attitude and practice of insulin use and its adverse effects in adult diabetic population

Background: Diabetes is a disease when left untreated, leads to many complications. India is emerging as a diabetic capital of the world. Insulin is widely used as a therapeutic option, and hence this study was conducted to assess the awareness of Insulin use and its adverse effects in diabetic population.Methods: The study was a questionnaire survey conducted in adult patients with diabetes who are on Insulin therapy. The participants’ knowledge, attitude and practice were assessed by using a questionnaire consisting of 32 questions. Scores were allotted to each question, and evaluated after applying appropriate statistical tests.Results: The mean age of the participants was 57.26±11.24 years. About 54% were males. 46% belonged to rural areas. The mean knowledge score was 17.53±4.40, mean attitude score 7.42±4.85 and the mean practice score was 6.56±1.91. 40% responded that they will return the expired insulin vials to the pharmacy. The most common reason for non adherence was economical constraints (60%). The females had better knowledge (17.60±4.43 vs. 17.45±4.40, p>0.88), attitude (8.21±3.84 vs. 6.58±5.56, p>0.09) and practice (6.97±1.84 vs. 6.13±1.92, p0.297), attitude (8.70±3.95 vs. 6.06±5.37, p 1.395) than the rural counterparts.Conclusions: There exists a gap between knowledge attitude and practice of insulin use. This can be overcome by conducting awareness programmes by health care providers, to sensitise people about the proper use, side effects and the methods of disposal of insulin vials

rac-6-Eth­oxy-3,3a,4,9b-tetra­hydro-1,3-diphenyl-1H-chromeno[4,3-c]isoxazole-3a-carbonitrile

The title compound, C25H22N2O3, with three stereogenic centres, crystallizes in a centrosymmetric space group as a racemate. The pyran ring adopts a sofa conformation and the five-membered isoxazole ring exhibits an envelope conformation. The dihedral angle between the benzene ring and the mean plane through the near coplanar atoms of the pyran ring is 10.54 (9)°. In the crystal, no significant intermolecular interactions are observed

(E)-3-Phenyl-2-(1-tosyl-1H-indol-3-ylcarbon­yl)acrylonitrile

In the title compound, C25H18N2O3S, the indole moiety is planar and makes a dihedral angle of 89.95 (09)° with the phenyl ring of the sulfonyl substituent. The mol­ecular conformation features a weak C—H⋯N short contact and the crystal packing reveals a weak C—H⋯O hydrogen bond

Digital speed controller implementation for a switched reluctance motor drive using FPGA

In this paper, a Field-Programmable Gate Array (FPGA) based digital speed control scheme is presented, that is developed to overcome the drawbacks existing in the previous speed control schemes, which were proposed for switched reluctance motor (SRM) drives. It is based on discrete P, PI and PID control algorithm, and requires simple mathematical models. The scheme is implemented by using a XC2S300E FPGA. The real-time experimental results given in this paper show that the speed control method proposed could provide accurate speed control and over a wide range of speeds, and can also perform accurately at different operating conditions (steady state/transient operation under soft chopping mode). The closed loop SRM speed control system is seen to achieve 6.2 RPM speed accuracy, depending on the needed operating speed range, with a step response settling time of 0.25 to 1.05 seconds. Complete descriptions of the experimental system along with FPGA implementation are presented