Multifractal analysis of eigenvectors of smallworld networks

Many real-world complex systems have small-world topology characterized by the high clustering of nodes and short path lengths.It is well-known that higher clustering drives localization while shorter path length supports delocalization of the eigenvectors of networks. Using multifractals technique, we investigate localization properties of the eigenvectors of the adjacency matrices of small-world networks constructed using Watts-Strogatz algorithm. We find that the central part of the eigenvalue spectrum is characterized by strong multifractality whereas the tail part of the spectrum have Dq->1. Before the onset of the small-world transition, an increase in the random connections leads to an enhancement in the eigenvectors localization, whereas just after the onset, the eigenvectors show a gradual decrease in the localization. We have verified an existence of sharp change in the correlation dimension at the localization-delocalization transitionComment: 8 pages, 7 figure

STUDY ON IMPLICATIONS OF COPY NUMBER VARIATIONS (CNVs) IN HUMAN POPULATION

Objective: To investigate the role and implications of copy number variations (CNVs) in different diseases found in the human population using various computational tools and databases.Methods: Five different diseases were taken into consideration namely Autism, Type-II Diabetes, Rheumatoid Arthritis, Breast Cancer, and Psoriasis. To validate the CNV's associated with various human diseases different tools and databases were used such as CNV annotator, DECIPHER, Database of Genomic Variants (DGV), CNVD, CNV Workshop, CNV Web store. Finally, the results were analysed to identify the extent of CNVs association in selected diseases.Results: Among all the selected diseases, the maximum numbers of CNV's were found in the case of breast cancer which in total 3851 at chromosome number one. Among all the selected diseases, minimum numbers of CNV's were found in the case of psoriasis, and a significant amount of CNVs are present in all the selected diseases.Conclusion: CNVs constitutes a substantial fraction of total genetic variability and it has the importance in modulating human diseases. This study has shown a significant presence of CNVs in all the selected diseases. Hence it can be concluded that CNVs can be major causing factors in many other life threatening diseases as well and a specific study designed to identify these variations can open a new dimension in the development of novel therapy for those diseases

Speed Control of BLDC Motor Using Microprocessor

This paper presents a method of speed control Brushless DC Motor (BLDC) using a microprocessor. Brushless DC motor plays a vital role in all applications such as ling fans, pumps, automotive drivers, and robotic Automations, and Many technologies are available in the motor from controlling the speed of the motor as per the designed applications. In this regard, for control of speed in a BLDC motor application, using Ardunio Board with PWM Technique be used Speed Control of BLDC motor with various Techniques such as using mobile applications,  100th based BMS from the mobile phone. Brushless DC motors (BLDC) find wide applications in industries due to their high power density and ease of control. These motors are generally controlled using a three-phase power semiconductor bridge. In order to start and provide a proper commutation sequence to turn on the power devices in the inverter bridge, the rotor position sensors are required. The power devices are commutated sequentially every 60 degrees based on the rotor position. The motor requires suitable speed controllers to achieve the desired level of performance. In the case of permanent magnet motors, speed control is usually achieved by using a proportional-integral (PI) controller. Although conventional PI controllers are widely used in the industry due to their simple control structure and ease of implementation, these controllers pose difficulties where there are some control complexities such as nonlinearity

New genomic regions identified for resistance to spot blotch and terminal heat stress in an interspecific population of triticum aestivum and T. spelta

Wheat is one of the most widely grown and consumed food crops in the world. Spot blotch and terminal heat stress are the two significant constraints mainly in the Indo–Gangetic plains of South Asia. The study was undertaken using 185 recombinant lines (RILs) derived from the interspecific hybridization of ‘Triticum aestivum (HUW234) × T. spelta (H+26)’ to reveal genomic regions associated with tolerance to combined stress to spot blotch and terminal heat. Different physiological (NDVI, canopy temperature, leaf chlorophyll) and grain traits (TGW, grain size) were observed under stressed (spot blotch, terminal heat) and non-stressed environments. The mean maturity duration of RILs under combined stress was reduced by 12 days, whereas the normalized difference vegetation index (NDVI) was 46.03%. Similarly, the grain size was depleted under combined stress by 32.23% and thousand kernel weight (TKW) by 27.56% due to spot blotch and terminal heat stress, respectively. The genetic analysis using 6734 SNP markers identified 37 significant loci for the area under the disease progress curve (AUDPC) and NDVI. The genome-wide functional annotation of the SNP markers revealed gene functions such as plant chitinases, NB-ARC and NBS-LRR, and the peroxidase superfamily Cytochrome P450 have a positive role in the resistance through a hypersensitive response. Zinc finger domains, cysteine protease coding gene, F-box protein, ubiquitin, and associated proteins, play a substantial role in the combined stress of spot blotch and terminal heat in bread wheat, according to genomic domains ascribed to them. The study also highlights T. speltoides as a source of resistance to spot blotch and terminal heat tolerance

ANALYSIS OF THE PROS AND CONS OF ONLINE RECRUITMENT METHODS IN INDIA

ABSTRACT The use of online recruitment methods is now widespread among Indian organizations, but has not dominated the recruitment market in the way that was predicted by the popular media. This may be because organizations experience mixed success in using online methods of recruitment. This paper reports on the use of a large scale, longitudinal survey of recruitment activity to investigate the usage and perceived success of both corporate and commercial websites by employers. In addition, twenty interviews with users and providers of online recruitment were conducted, in order to provide a deeper exploration of the factors that may affect the success of these methods. The results provide valuable insights into the use and success of online recruitment in India and have strong implications for practitioners