252 research outputs found

    Study of Staphylococcus aureus Adhesion on Surface Modified Silver Coated Non-Woven Polyethylene Fabric subjected to Atmospheric Plasma treatment

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    This study reveals the adhesion of Staphylococcus aureus on the modified surface of silver-coated non-woven disposable polyethylene fabric used in hospitals to cover the patient’s bed.  The bacteria Staphylococcus aureus is responsible for many Nosocomial infections. Therefore, we should take action to reduce the spread of Staphylococcus aureus. The present study is focused on a nonwoven polyethylene fabric used as a bedspread that has been plasma-treated and coated in silver to prevent the adhesion of S. aureus and its growth. Non-woven polyethylene fabric is plasma-treated for quick silver adherence before being coated with silver and treated with S. aureus. Tests for fabric characterization were performed. It includes contact angle, FTIR, and SEM.SEM, FTIR, and contact angle measurements are made on the control, plasma-treated, silver-coated, and S. aureus samples. The plasma treatment will cause the fabric to enhance its surface properties. The increased surface roughness will cause the silver to adhere rapidly. The Silver will also prevent the bacteria from multiplying. Silver's antibacterial characteristics, guarantee the destruction of the germs. A bedspread made of nonwoven polyethylene fabric with a silver coating is possible. so that the sufferers can rest comfortably. The number of nosocomial infections spread by the clothing will decline. It is possible to prevent bacterial infections in the patients and medical staff

    Studies on isolation and characterisation and its effect of seed inoculation of PGPR (Pseudomonas fluorescens) on yield of tomato

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    Soil samples of five different locations of rhizosphere of tomato.  The sample used for identification of Pseudomonas fluorescens and characterisation based on biochemical characteristics.  The best isolate PF-5 used for seed treatment of with tomato variety PKM-1.  The higher fruit yield was recorded in the triple combination of Pseudomonas fluorescens + Azotobacterchroococcum + Azospirillum brasilense @ 900g/plant-1 followed by Pseudomonas + Azotobacter

    Reach Energy of Digraphs

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    A Digraph D consists of two finite sets ), where  denotes the vertex set and denotes the arc set. For vertices  if there exists a directed path from  to  then  is said to be reachable from  and vice versa. The Reachability matrix of D is the  matrix , where  if  is reachable from and  otherwise. The eigen values corresponding to the reachability matrix are called reach eigen values. The reach energy of a digraph is defined by where  is the eigen value of the reachability matrix. In this paper we introduce the reach spectrum of a digraph and study its properties and bounds. Moreover, we compute reachspectrum for some digraphs

    INSIGHTS ON DRUG TARGETING OF TOXOPLASMA GONDII HOST INVASION PROTEINS: A REVIEW

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    Toxoplasma gondii is an obligate intracellular parasite that infects homoeothermic animals. It is also the major cause of retinochoroiditis in humans.Drugs targeting T. gondii proteins involved in the establishment of host-pathogen interactions is well documented to be an efficient way to combatthe infections. Basically, parasitic invasion of T. gondii occurs by the sequential secretion of apical membrane antigen 1 and rhoptry neck proteins onthe parasite and host cell surfaces, respectively. These proteins operate synergistically and form the moving junction (MJ) complex, thereby, enablingattachment and penetration of the parasite into the host cell. Better understanding of molecular interactions of these proteins is essential to develophighly efficient therapeutic modalities. Hence, by this review it is intended to update the current status of rhoptry and other MJ complex proteins asideal candidates for targeting T. gondii.Keywords: Toxoplasma gondii, Rhoptry proteins, Moving junction complex, Toxoplasmosis

    An Efficient and Secure Data Access Control For Cloud Storage

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    We present an official basis model of the proposed method, intended for applied cloud storage system disposition. We discourse faintness in the checking process of the session variety. Exactly, a spiteful user may modification his secret key in the meeting form, and the checking technique will flop in this case. As an extenuation, we review the key generation algorithm and improve an inspection list to perceive if the key is changed. Looking for to allay access recommendation misappropriation, we recommend CryptCloud+, are feasible consultant and revocable CPABE based cloud storage system with white-box traceability and auditing. To the top of our acquaintance, this is the originally everyday answer to protected fine-grained access control over encrypted data in cloud

    Scattered simultaneous and autonomous access to scrambled cloud databases

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    Cloud data environments square measure unpleasantly tempting for the preparing of tremendous scale applications owing to their amazingly ascendible and offered foundation. Data as a Service (DBaaS) model is utilized to oversee databases in cloud setting. Secure DBaaS standard gives data classification to distributed storage. Secure DBaaS is expected to allow various and independent buyers to append to the cloud while not middle server. Documents, data structures and data square measure encoded before exchange to the cloud. Different cryptography methods square measure won't to change over plain content into scrambled data. Table names and their section names likewise are scrambled inside of the cloud data wellbeing subject. The framework underpins topographically conveyed buyers to append on to A scrambled cloud data. Amid this paper we tend to quadrangular measure proposing new plan that coordinate distributed storage administration with data protection and have a component of flogging co-happening operations on scrambled data and together with the topographically dispersed buyers to connect on to these cloud data that is encoded and that they conjointly given to execute their operations over the cloud data. This configuration disposes of the dealers (Intermediate intermediaries) it constrains the quantifiability, flexibility, availability. High touchy data square measure encoded by RSA cryptography and standard data square measure scrambled abuse AES method so overhead on the system will be decrease

    Deep Learning

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    Deep Learning was developed as a Machine learning approach to influence advanced input-output mappings. It had been for learning concerning multiple levels of illustration and abstraction to create sense of the information such as images, text and sound. Deep learning excels at distinguish patterns in unstructured information, that most of the people grasp as media like images, sound, video and text

    Development and mapping of Simple Sequence Repeat markers for pearl millet from data mining of Expressed Sequence Tags

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    <p>Abstract</p> <p>Background</p> <p>Pearl millet [<it>Pennisetum glaucum </it>(L.) R. Br.] is a staple food and fodder crop of marginal agricultural lands of sub-Saharan Africa and the Indian subcontinent. It is also a summer forage crop in the southern USA, Australia and Latin America, and is the preferred mulch in Brazilian no-till soybean production systems. Use of molecular marker technology for pearl millet genetic improvement has been limited. Progress is hampered by insufficient numbers of PCR-compatible co-dominant markers that can be used readily in applied breeding programmes. Therefore, we sought to develop additional SSR markers for the pearl millet research community.</p> <p>Results</p> <p>A set of new pearl millet SSR markers were developed using available sequence information from 3520 expressed sequence tags (ESTs). After clustering, unigene sequences (2175 singlets and 317 contigs) were searched for the presence of SSRs. We detected 164 sequences containing SSRs (at least 14 bases in length), with a density of one per 1.75 kb of EST sequence. Di-nucleotide repeats were the most abundant followed by tri-nucleotide repeats. Ninety primer pairs were designed and tested for their ability to detect polymorphism across a panel of 11 pairs of pearl millet mapping population parental lines. Clear amplification products were obtained for 58 primer pairs. Of these, 15 were monomorphic across the panel. A subset of 21 polymorphic EST-SSRs and 6 recently developed genomic SSR markers were mapped using existing mapping populations. Linkage map positions of these EST-SSR were compared by homology search with mapped rice genomic sequences on the basis of pearl millet-rice synteny. Most new EST-SSR markers mapped to distal regions of linkage groups, often to previous gaps in these linkage maps. These new EST-SSRs are now are used by ICRISAT in pearl millet diversity assessment and marker-aided breeding programs.</p> <p>Conclusion</p> <p>This study has demonstrated the potential of EST-derived SSR primer pairs in pearl millet. As reported for other crops, EST-derived SSRs provide a cost-saving marker development option in pearl millet. Resources developed in this study have added a sizeable number of useful SSRs to the existing repertoire of circa 100 genomic SSRs that were previously available to pearl millet researchers.</p
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