Signals for R-parity-violating Supersymmetry at a 500 GeV e+ e- Collider

We investigate the production of charginos and neutralinos at a 500 GeV e^+e^- collider (NLC) and study their decays to the lightest neutralino, which then decays into multi-fermion final states through couplings which do not conserve R-parity. These couplings are assumed to affect only the decay of the lightest neutralino. Detailed analyses of the possible signals and backgrounds are performed for five selected points in the parameter space.Comment: 42 pages, LaTeX, 12 postscript figure

Can the Aleph Four-Jet Excess be Explained in a Supersymmetric Model with R-Parity Violation?

We investigate the possibility that the excess of four-jet events in $e^+e^-$ collisions at LEP-1.5 which has been reported by the ALEPH Collaboration could be due to the production of charginos or neutralinos, followed by their decay into quark jets through baryon number-violating ($\lambda^{\prime\prime}$) couplings. An estimate at the parton level shows, however, that these events cannot be due to neutralinos because of the low cross-section, and is unlikely to be due to the production of chargino pairs because of the largely different event shapes.Comment: 31 pages, Latex, uses epsf, extensively revised and update

Top polarization as a probe of new physics

5 pages, 4 figures (slightly modified), fixed typos, added acknowledgement Volume: 1200We investigate the effects of new physics scenarios containing a high mass vector resonance on top pair production at the LHC, using the polarization of the produced top. In particular we use kinematic distributions of the secondary lepton coming from top decay, which depends on top polarization, as it has been shown that the angular distribution of the decay lepton is insensitive to the anomalous tbW vertex and hence is a pure probe of new physics in top quark production. Spin sensitive variables involving the decay lepton are used to probe top polarization. Some sensitivity is found for the new couplings of the top.Peer reviewe

Tissue culture-independent in planta transformation strategy: an Agrobacterium tumefaciens-mediated gene transfer method to overcome recalcitrance in cotton (Gossypium hirsutum L.)

The major constraint in cotton improvement has been the recalcitrance of cotton varieties to tissue culture. Alternate methods that avoid/ minimize tissue culture would be beneficial for the improvement of cotton. In this report, transgenic cotton plants have been produced by a tissue-culture independent Agrobacterium tumefaciens - mediated transformation procedure. Agrobacterium strain LBA4404 harboring the binary vector pKIWI105 that carries the genes for β-glucuronidase (GUS) and neomycin phosphotransferase (npt II) was used for transformation. Apical meristem of the differentiated embryo of the germinating seedling is infected with Agrobacterium. Since the transgene is integrated into the cells of already differentiated tissues, the T0 plants will be chimeric and stable integration can be seen only in the T1 generation. The first proof of transformability in the T0 generation was indicated by the GUS histochemical analysis of the seedlings, five days after co-cultivation and subsequently in the pollen and lint. T1 transformants were identified by PCR analysis and subsequently confirmed by Southern. Three plants (T1) with single copy insertions were selected for continuing into the next generations. Molecular characterization and GUS expression analysis (histochemical and fluorimetric) of the T1, T2 and T3 generation suggested the feasibility of the method to generate transgenic plants in cotton

In planta transformation strategy to generate transgenic plants in chickpea: proof of concept with a cry gene

The paper presents a non-​tissue culture-​based transformation of chickpea using cry1AcF gene with 5'UTR. The protocol involves raising of plant transformants (T0 plants) directly from Agrobacterium-​infected young seedlings. The apical meristem of the seedling axes were targeted for transformation. The resulting chimeric plants were allowed to grow in the greenhouse and the transgenics were analyzed in the T1 generation. The T1 generation plants were raised in the greenhouse and initial screening was carried out in 109 plants using ELISA for the expression of the cry1AcF protein. On the basis of this, the plants were grouped as non-​transformants and transformants, expressing low and high level of the cry protein. The plants expressing the cry1AcF protein in the range of 2.06-​9.70 μg​/g fr wt were selected for further anal. Bioefficacy of these 44 plants against Helicoverpa armigera allowed identification of 14 plants that not only accumulated good amt. of protein but were also effective against Helicoverpa. Mol. anal. by PCR for the amplification of both the cry1AcF and nptII genes confirmed the transgenic nature of the selected plants. The protocol ensured generation of transgenic chickpea plants with considerable ease in a short time and might be applicable across different genotypes​/cultivars of the crop and offers immense potential as a supplemental or an alternate protocol for generating transgenic plants of difficult-​to-​regenerate crops

Long live The NMSSM!

We analyze the scenario within the Next to Minimal Supersymmetric Standard Model (NMSSM), where the lightest supersymmetric particle (LSP) is singlino-like neutralino. By systematically considering various possible admixtures in the electroweakino sector, we classify regions of parameter space where the next to lightest supersymmetric particle (NLSP) is a long-lived electroweakino while remaining consistent with constraints from flavor physics, dark matter direct detection, and collider data. We identify viable cascade decay modes featuring the long-lived NLSP for directly produced chargino-neutralino pairs, thus, leading to displaced vertex signatures at the high luminosity LHC (HL-LHC). We construct track based analysis in order to uncover such scenarios at the HL-LHC and analyze their discovery potential. We show that through such focused searches for the long-lived particles at the HL-LHC, one can probe regions of the electroweakino parameter space that are otherwise challenging.Comment: 34 pages, 11 figures, 3 table

Remediation of lead (Pb) by a novel Klebsiella sp. isolated from tannery effluent of Ranipet, Vellore district

Lead is found to be one of the most toxic heavy metal according to American public health association (APHA). Vellore district is one of the most polluted sites in the world. It is more common for lead poisoning to build up slowly over time. Over time, even low levels of lead exposure can harm a child's mental development. Therefore new resources for the removal of lead are the need of the hour. Soil and effluent samples were obtained from common effluent treatment plant; Ranipet, Vellore district. The concentration of heavy metal was also assessed in the collected samples and then isolated lead tolerant bacteria over lead containing mineral salt medium. The isolated desired bacteria was also tested for their ability to remediate other heavy metals like chromium (Cr), iron (Fe), zinc (Zn), cadmium (Cd) which are present in the tannery effluent. The one with good bioremediation activity was further characterized by sequencing 16S rRNA gene and it was found to be a novel species of Klebsiella genus.Keywords: Lead tolerant bacteria, Klebsiella, heavy metal remediationAfrican Journal of Biotechnology Vol. 12(32), pp. 5069-507

Cardiovascular diseases prediction by machine learning incorporation with deep learning

It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is associated with a high risk of death, as well as severe morbidity and disability. There is an urgent need for AI-based technologies that are able to promptly and reliably predict the future outcomes of individuals who have cardiovascular disease. The Internet of Things (IoT) is serving as a driving force behind the development of CVD prediction. In order to analyse and make predictions based on the data that IoT devices receive, machine learning (ML) is used. Traditional machine learning algorithms are unable to take differences in the data into account and have a low level of accuracy in their model predictions. This research presents a collection of machine learning models that can be used to address this problem. These models take into account the data observation mechanisms and training procedures of a number of different algorithms. In order to verify the efficacy of our strategy, we combined the Heart Dataset with other classification models. The proposed method provides nearly 96 percent of accuracy result than other existing methods and the complete analysis over several metrics has been analysed and provided. Research in the field of deep learning will benefit from additional data from a large number of medical institutions, which may be used for the development of artificial neural network structures

Unusual Charged Higgs Signals at LEP-2

We have made a detailed study of the signals produced at LEP-2 from charged scalar bosons whose dominant decay channels are into four fermions. The event rates as well as kinematics of the final states are discussed when such scalars are either pair-produced or are generated through a tree-level interaction involving a charged scalar, the W and the Z. The backgrounds in both cases are discussed. We also suggest the possibility of reconstructing the mass of such a scalar at LEP-2.Comment: 12 pages, LateX, 9 Postscript figures, uses eps

On measurement of top polarization as a probe of ttˉt \bar t production mechanisms at the LHC

In this note we demonstrate the use of top polarization in the study of $t \bar t$ resonances at the LHC, in the possible case where the dynamics implies a non-zero top polarization. As a probe of top polarization we construct an asymmetry in the decay-lepton azimuthal angle distribution (corresponding to the sign of $\cos\phi_\ell$) in the laboratory. The asymmetry is non-vanishing even for a symmetric collider like the LHC, where a positive $z$ axis is not uniquely defined. The angular distribution of the leptons has the advantage of being a faithful top-spin analyzer, unaffected by possible anomalous $tbW$ couplings, to linear order. We study, for purposes of demonstration, the case of a $Z'$ as might exist in the little Higgs models. We identify kinematic cuts which ensure that our asymmetry reflects the polarization in sign and magnitude. We investigate possibilities at the LHC with two energy options: $\sqrt{s} = 14$ TeV and $\sqrt{s} = 7$ TeV, as well as at the Tevatron. At the LHC the model predicts net top quark polarization of the order of a few per cent for $M_{Z'} \simeq 1200$ GeV, being as high as $10$ for a smaller mass of the $Z'$ of $700$ GeV and for the largest allowed coupling in the model, the values being higher for the $7$ TeV option. These polarizations translate to a deviation from the standard-model value of azimuthal asymmetry of up to about $4$ ($7$) for $14$ ($7$) TeV LHC, whereas for the Tevatron, values as high as $12$ are attained. For the $14$ TeV LHC with an integrated luminosity of 10 fb$^{-1}$, these numbers translate into a $3 \sigma$ sensitivity over a large part of the range $500 \lesssim M_{Z'} \lesssim 1500$ GeV.Comment: 28 page, LaTeX, requires JHEP style file, 12 figures. Typos corrected and references adde