Multiresolutional Fault-Tolerant Sensor Integration and Object Recognition in Images.

This dissertation applies multiresolution methods to two important problems in signal analysis. The problem of fault-tolerant sensor integration in distributed sensor networks is addressed, and an efficient multiresolutional algorithm for estimating the sensors\u27 effective output is proposed. The problem of object/shape recognition in images is addressed in a multiresolutional setting using pyramidal decomposition of images with respect to an orthonormal wavelet basis. A new approach to efficient template matching to detect objects using computational geometric methods is put forward. An efficient paradigm for object recognition is described

Mycoparasitic capabilities of diverse native strain of Trichoderma spp. against Fusarium oxysporum f. sp. lycopersici

The Fusarium wilt of tomato (Lycopersicon esculentum Mill.) caused by Fusarium oxysporum f. sp. lycopersici (Sacc.) Snyder and Hansen is recognised as one of the most devastating disease and major yield limiting factor in tomato growing regions worldwide. For eco-friendly and sustainable management of the disease, 19 Trichoderma native isolates belonging to 3 species of the genus, T. harzianum, T. asperellum and T. virens were evaluated in vitro against the pathogen using dual culture method. Out of 19 isolates, 8 isolates showed mycoparasitism, 8 isolates showed antibiosis and remaining showed lysis. Microscopic observations of Fusarium oxysporum f. sp. lycopersici (FOL) growth in dual cultures revealed that growth inhibition occurred just before near to contact with the antagonist. All T. harzianum isolates tested exhibited coiling around the hyphae of FOL. Isolates of T. harzianum, showed good coiling and growth inhibition of the pathogen. The T. harzianum strains did not differ in coiling pattern and gave somewhat equal coiling performances. Strains of T. asperellum, showed coiling but the coiling pattern of all these strains was different. Only one strain of T. virens showed coiling out of 2 strains. Among them T. harzianum (SVPUTh91) showed the best performance in vitro as biological control agent against FOL followed by T. asperellum and T. virens, resulting in 83, 73 and 65% reduction in colony growth, respectively

Complexes of Benzoylisonicotinic Acid Hydrazide with VO(II), Mn(II), Co(II), Ni(II), Cu(II) & Zn(II)

181-18

Complexes of VO(IV), Mn(II), Co(II), Ni(II), Cu(II) & Zn(II) with N-Acetyl-N' –isonicotinoylhydrazine

325-32

ROOT KNOT DISEASE CAUSED BY MELOIDOGYNE INCOGNITA (KOFOID &WHITE, 1919) CHITWOOD, 1949 (NEMATODA, MELOIDOGYNIDAE) ON TOMATO GROWN IN SOIL-LESS CROPS IN ITALY

Infestation of Meloidogyne incognita (Kofoid &White, 1919) Chitwood, 1949 on tomato grown in a soil-less system is reported from the Nola area, southern Italy. Morphological observations and measurements of females and second stage juveniles of the nematode conformed to those reported in the description of M. incognita. Advantages and disadvantages of soil-less crops on the spread of the nematode are also discussed

Pathological and molecular characterizations of slow leaf rusting in fifteen wheat (Triticum aestivum L. em Thell) genotypes

Leaf rust caused by Puccinia triticina, is a globally important fungal disease of wheat (Triticum aestivum L. em. Thell), resulting in significant yield losses, sometimes up to 40% worldwide. In this study we investigated slow rusting resistance at pathological and molecular level. Fifteen (15) wheat genotypes which also included multiple crosses with the aim to characterize pyramid resistance genes, including slow rusting genes like Lr46 and Lr50 were evaluated for disease severity percent, latent period and incubation period under field conditions. Detached leaf assay was also performed with three virulent pathotypes viz., 21R55 (104-2), 121R63-1 (77-5) and 29R45 (12-5), under controlled laboratory conditions. Genotypes, KIRITATAI//HUW234+LR34/PRINIA, WAXWING*2/TUKURU, WBLLI*2/KIRITATI, KAMBI*2/-BRAMBLING and KAMBI*2/KIRITATI were very close to near immunity and showed comparatively higher level of resistance against all the three pathotypes. Disease severity in resistant genotypes was traced type 5 to 6% in both years, while it was 60 to 80% in the case of susceptible genotypes, that is, ‘Agra Local’ (S1). Similar pattern was observed for AUDPC, that is, <250.0 in the resistant genotypes, while it was beyond 1000.0 in ‘Agra Local’. The shorter mean latent (7.67) and incubation period (6.0) was observed in susceptible genotypes, that is, ‘Agra Local’ to all the resistant genotypes, that is, LP (10 to 12) and IP (9 to 10); while testing against all the three different pathotypes. Linked microsatellite markers were used to confirm the presence of different rust resistance genes required to achieve near immunity. Out of 10 primers, nine produced gene specific bands with all genotypes except the control, that is, Agra Local. Genotypes which showed slow rusting, had longer latent period and incubation period as well as reduced percent disease severity and confirmed the presence of four to five resistance genes including slow rusting genes, that is, Lr46 and Lr50. This indicates that these genotypes have potential durable resistance and can be used as parental lines in the development of more durable rust resistance.Key words: Near immunity, pathotypes, Puccinia triticina, SSR

Early transcriptome profile of goat peripheral blood mononuclear cells (PBMCs) infected with peste des petits ruminant's vaccine virus (Sungri/96) revealed induction of antiviral response in an interferon independent manner

Sungri/96 vaccine strain is considered the most potent vaccine providing long-term immunity against peste des petits ruminants (PPR) in India. Previous studies in our laboratory highlighted induction of robust antiviral response in an interferon independent manner at 48 h and 120 h post infection (p.i.). However, immune response at the earliest time point 6 h p.i. (time taken to complete one PPRV life cycle), in PBMCs infected with Sungri/96 vaccine virus has not been investigated. This study was taken up to understand the global gene expression profiling of goat PBMCs after Sungri/96 PPRV vaccine strain infection at 6 h post infection (p.i.). A total of 1926 differentially expressed genes (DEGs) were identified with 616 - upregulated and 1310 - downregulated. TLR7/TLR3, IRF7/IRF1, ISG20, IFIT1/IFIT2, IFITM3, IL27 and TREX1 were identified as key immune sensors and antiviral candidate genes. Interestingly, type I interferons (IFNα/β) were not differentially expressed at this time point as well. TREX1, an exonuclease which inhibits type I interferons at the early stage of virus infection was found to be highly upregulated. IL27, an important antiviral host immune factor was significantly upregulated. ISG20, an antiviral interferon induced gene with exonuclease activity specific to ssRNA viruses was highly expressed. Functional profiling of DEGs showed significant enrichment of immune system processes with 233 genes indicating initiation of immune defense response in host cells. Protein interaction network showed important innate immune molecules in the immune network with high connectivity. The study highlights important immune and antiviral genes at the earliest time point

Comparative and temporal transcriptome analysis of peste des petits ruminants virus infected goat peripheral blood mononuclear cells

Peste des petits ruminanats virus (PPRV), a morbillivirus causes an acute, highly contagious disease – peste des petits ruminants (PPR), affecting goats and sheep. Sungri/96 vaccine strain is widely used for mass vaccination programs in India against PPR and is considered the most potent vaccine providing long-term immunity. However, occurrence of outbreaks due to emerging PPR viruses may be a challenge. In this study, the temporal dynamics of immune response in goat peripheral blood mononuclear cells (PBMCs) infected with Sungri/96 vaccine virus was investigated by transcriptome analysis. Infected goat PBMCs at 48 h and 120 h post infection revealed 2540 and 2000 differentially expressed genes (DEGs), respectively, on comparison with respective controls. Comparison of the infected samples revealed 1416 DEGs to be altered across time points. Functional analysis of DEGs reflected enrichment of TLR signaling pathways, innate immune response, inflammatory response, positive regulation of signal transduction and cytokine production. The upregulation of innate immune genes during early phase (between 2-5 days) viz. interferon regulatory factors (IRFs), tripartite motifs (TRIM) and several interferon stimulated genes (ISGs) in infected PBMCs and interactome analysis indicated induction of broad-spectrum anti-viral state. Several Transcription factors – IRF3, FOXO3 and SP1 that govern immune regulatory pathways were identified to co-regulate the DEGs. The results from this study, highlighted the involvement of both innate and adaptive immune systems with the enrichment of complement cascade observed at 120 h p.i., suggestive of a link between innate and adaptive immune response. Based on the transcriptome analysis and qRT-PCR validation, an in vitro mechanism for the induction of ISGs by IRFs in an interferon independent manner to trigger a robust immune response was predicted in PPRV infection

Quantum Algorithm Implementations for Beginners

As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers. While currently available quantum computers have less than 100 qubits, quantum computing hardware is widely expected to grow in terms of qubit count, quality, and connectivity. This review aims to explain the principles of quantum programming, which are quite different from classical programming, with straightforward algebra that makes understanding of the underlying fascinating quantum mechanical principles optional. We give an introduction to quantum computing algorithms and their implementation on real quantum hardware. We survey 20 different quantum algorithms, attempting to describe each in a succinct and self-contained fashion. We show how these algorithms can be implemented on IBM's quantum computer, and in each case, we discuss the results of the implementation with respect to differences between the simulator and the actual hardware runs. This article introduces computer scientists, physicists, and engineers to quantum algorithms and provides a blueprint for their implementations