132 research outputs found

    Impact of the Process Genre Approach on the Management Students’ Business Writing Skills

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    In the present corporate world, it is prominent to hone business writing skills among students for becoming good management professionals. Writing is foremost and significant skill in the business world, but most of the students lack proficiency in their writing. The present paper attempts to explore the impact of the process genre approach in teaching business writing skills to the management professionals. The sample of the study consists of 40 management students from a professional college and 32 teachers of English who were working in sixteen different professional colleges. In order to collect the data, the questionnaires were administered to the students as well as to the teachers. Post analysis of the data, it was found that management students’ business writing skills had a positive impact when the process-genre approach incorporated in teaching and learning processes.  Hence, it is concluded that the use of the process genre approach for teaching business writing to the management students during the intervention had become successful in achieving the desired goal.  It also aided the students in developing better writing proficiency and enhancing their business writing skill.

    On the torus quotients of Schubert varieties

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    In this paper, we consider the GIT quotients of Schubert varieties for the action of a maximal torus. We describe the minuscule Schubert varieties for which the semistable locus is contained in the smooth locus. As a consequence, we study the smoothness of torus quotients of Schubert varieties in the Grassmannian. We also prove that the torus quotient of any Schubert variety in the homogeneous space SL(n,C)/PSL(n, \mathbb C)/P is projectively normal with respect to the line bundle Lα0\mathcal L_{\alpha_0} and the quotient space is a projective space, where the line bundle Lα0\mathcal L_{\alpha_0} and the parabolic subgroup PP of SL(n,C)SL (n, \mathbb C) are associated to the highest root α0\alpha_0.Comment: To appear in International Journal of Mathematic

    Standard monomial theory and toric degenerations of Richardson varieties in the Grassmannian

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    Richardson varieties are obtained as intersections of Schubert and opposite Schubert varieties. We provide a new family of toric degenerations of Richardson varieties inside Grassmannians by studying Gr\"obner degenerations of their corresponding ideals. These degenerations are parametrised by block diagonal matching fields in the sense of Sturmfels-Zelevinsky. We associate a weight vector to each block diagonal matching field and study its corresponding initial ideal. In particular, we characterise when such ideals are toric, hence providing a family of toric degenerations for Richardson varieties. Given a Richardson variety XwvX_{w}^v and a weight vector w{\bf w}_\ell arising from a matching field, we consider two ideals: an ideal Gk,n,wvG_{k,n,\ell}|_w^v obtained by restricting the initial of the Pl\"ucker ideal to a smaller polynomial ring, and a toric ideal defined as the kernel of a monomial map ϕwv\phi_\ell|_w^v. We first characterise the monomial-free ideals of form Gk,n,wvG_{k,n,\ell}|_w^v. Then we construct a family of tableaux in bijection with semi-standard Young tableaux which leads to a monomial basis for the corresponding quotient ring. Finally, we prove that when Gk,n,wvG_{k,n,\ell}|_w^v is monomial-free and the initial ideal inw(I(Xwv))_{{\bf w}_\ell}(I(X_w^v)) is quadratically generated, then all three ideals inw(I(Xwv))_{{\bf w}_\ell}(I(X_w^v)), Gk,n,wvG_{k,n,\ell}|_w^v and ker(ϕwv)(\phi_\ell|_w^v) coincide, and provide a toric degeneration of XwvX_w^v.Comment: Following the advice of referees, we divided our earlier preprint in two parts. This article extends the results about Grassmannains from the preprint arXiv:arXiv:2009.0321

    A study on neural network based system identification with application to heating, ventilating and air conditioning (hvac)system

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    Recent efforts to incorporate aspects of artificial intelligence into the design and operation of automatic control systems have focused attention on techniques such as fuzzy logic, artificial neural networks, and expert systems. Although LMS algorithm has been considered to be a popular method of system identification but it has been seen in many situations that accurate system identification is not achieved by employing this technique. On the other hand, artificial neural network (ANN) has been chosen as a suitable alternative approach to nonlinear system identification due to its good function approximation capabilities i.e. ANNs are capable of generating complex mapping between input and output spaces. Thus, ANNs can be employed for modeling of complex dynamical systems with reasonable degree of accuracy. The use of computers for direct digital control highlights the recent trend toward more effective and efficient heating, ventilating, and air-conditioning (HVAC) control methodologies. The HVAC field has stressed the importance of self learning in building control systems and has encouraged further studies in the integration of optimal control and other advanced techniques into the formulation of such systems. In this thesis we describe the functional link artificial neural network (FLANN), Multi-Layer Perceptron (MLP) with Back propagation (BP) and MLP with modified BP called the emotional BP and Neuro fuzzy approaches for the HVAC System Identification. The thesis describes different architectures together with learning algorithms to build neural network based nonlinear system identification schemes such as Multi-Layer Perceptron (MLP) neural network, Functional Link Artificial Neural Network (FLANN) and ANFIS structures. In the case of MLP used as an identifier, different structures with regard to hidden layer selection and nodes in each layer have been considered. It may be noted that difficulty lies in choosing the number of hidden layers for achieving a correct topology of MLP neural identifier. To overcome this, in the FLANN identifier hidden layers are not required whereas the input is expanded by using trigonometric polynomials i.e. with cos(nπu) and sin(nπu), for n=0,1,2,…. The above ANN structures MLP, FLANN and Neuro-fuzzy (ANFIS Model) have been extensively studied

    DNA adducts of aristolochic acid II: total synthesis and site-specific mutagenesis studies in mammalian cells

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    Aristolochic acids I and II (AA-I, AA-II) are found in all Aristolochia species. Ingestion of these acids either in the form of herbal remedies or as contaminated wheat flour causes a dose-dependent chronic kidney failure characterized by renal tubulointerstitial fibrosis. In ∼50% of these cases, the condition is accompanied by an upper urinary tract malignancy. The disease is now termed aristolochic acid nephropathy (AAN). AA-I is largely responsible for the nephrotoxicity while both AA-I and AA-II are genotoxic. DNA adducts derived from AA-I and AA-II have been isolated from renal tissues of patients suffering from AAN. We describe the total synthesis, de novo, of the dA and dG adducts derived from AA-II, their incorporation site-specifically into DNA oligomers and the splicing of these modified oligomers into a plasmid construct followed by transfection into mouse embryonic fibroblasts. Analysis of the plasmid progeny revealed that both adducts blocked replication but were still partly processed by DNA polymerase(s). Although the majority of coding events involved insertion of correct nucleotides, substantial misincorporation of bases also was noted. The dA adduct is significantly more mutagenic than the dG adduct; both adducts give rise, almost exclusively, to misincorporation of dA, which leads to AL-II-dA→T and AL-II-dG→T transversions
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