74 research outputs found
A novel distribution-free hybrid regression model for manufacturing process efficiency improvement
This work is motivated by a particular problem of a modern paper
manufacturing industry, in which maximum efficiency of the fiber-filler
recovery process is desired. A lot of unwanted materials along with valuable
fibers and fillers come out as a by-product of the paper manufacturing process
and mostly goes as waste. The job of an efficient Krofta supracell is to
separate the unwanted materials from the valuable ones so that fibers and
fillers can be collected from the waste materials and reused in the
manufacturing process. The efficiency of Krofta depends on several crucial
process parameters and monitoring them is a difficult proposition. To solve
this problem, we propose a novel hybridization of regression trees (RT) and
artificial neural networks (ANN), hybrid RT-ANN model, to solve the problem of
low recovery percentage of the supracell. This model is used to achieve the
goal of improving supracell efficiency, viz., gain in percentage recovery. In
addition, theoretical results for the universal consistency of the proposed
model are given with the optimal value of a vital model parameter. Experimental
findings show that the proposed hybrid RT-ANN model achieves higher accuracy in
predicting Krofta recovery percentage than other conventional regression models
for solving the Krofta efficiency problem. This work will help the paper
manufacturing company to become environmentally friendly with minimal
ecological damage and improved waste recovery
A CRITICAL STUDY ON KARYA- KARAN VADA IN RELATION TO GRAM NEGATIVE MICRO-ORGANISM IN UTI
The doctrine of cause & effect (Karya-Karana Vada) is well versed and common in ancient Indian Philosophy Sankhya Darsana which is clinically adopted in Ayurveda. Karya-Karana Sidhanta is applicable for both Swastha and Vikara avastha. Therefore the study was conducted to evaluate the critical doctrine of Cause and Effect in the light of its clinical entity, and the efficacy of Padma (Nelumbium speciousum Willd), Priyangu (Callicarpa macrophylla Vahi) and Agnimantha (Premna intergrifolia Linn) on gram negative organisms to establish the stipulated doctrine i.e. Karya-Karana Vada. This was a in-vitro study conducted on the microorganisms causing UTI commonly E. coli sp. and Klebsiella sp. The Bacteria Escherichi colli species and Klebsiella species were collected separately from the stock culture of Pathology Laboratory. Crude and Sterile Plant extract of above plant are used for the study. The crude and the sterile extract of the selected plants named Padma, Priyangu and Agnimantha are effective to inhibit the zone of colonisation of E.coli & Klebsiella in varying degree. These studies were performed in triplicate. This study concluded that micro organism enter into the bladder and kidney through urethra or any others means, they multiply in urine and change urine pH, causes Urinary Tract Infection. The responsible above said two gram negative micro-organism may or may not produce UTI, it depends upon the potentiality causative factors as justified in the doctrine of Cause and Effect (Karya-Karana Vada), and above mention three herbs shows significant anti microbial activities
Reaction Landscape of a Pentadentate N5-Ligated MnII Complex with O2•− and H2O2 Includes Conversion of a Peroxomanganese(III) Adduct to a Bis(μ-oxo)dimanganese(III,IV) Species
Herein we describe the chemical reactivity of the mononuclear [MnII(N4py)(OTf)](OTf) (1) complex with hydrogen peroxide and superoxide. Treatment of 1 with one equivalent superoxide at −40 °C in MeCN formed the peroxomanganese(III) adduct, [MnIII(O2)(N4py)]+ (2) in ~30% yield. Complex 2 decayed over time and the formation of the bis(μ-oxo)dimanganese(III,IV) complex, [MnIIIMnIV(μ-O)2(N4py)2]3+ (3) was observed. When 2 was formed in higher yields (~60%) using excess superoxide, the [MnIII(O2)(N4py)]+ species thermally decayed to MnII species and 3 was formed in no greater than 10% yield. Treatment of [MnIII(O2)(N4py)]+ with 1 resulted in the formation of 3 in ~90% yield, relative to the concentration of [MnIII(O2)(N4py)]+. This reaction mimics the observed chemistry of Mn-ribonucleotide reductase, as it features the conversion of two MnII species to an oxo-bridged MnIIIMnIV compound using O2− as oxidant. Complex 3 was independently prepared through treatment of 1 with H2O2 and base at −40 °C. The geometric and electronic structures of 3 were probed using electronic absorption, electron paramagnetic resonance (EPR), magnetic circular dichroism (MCD), variable-temperature, variable-field MCD (VTVH-MCD), and X-ray absorption (XAS) spectroscopies. Complex 3 was structurally characterized by X-ray diffraction (XRD), which revealed the N4py ligand bound in an unusual tetradentate fashion
An advanced draft genome assembly of a desi type chickpea (Cicer arietinum L.)
Chickpea (Cicer arietinum L.) is an important pulse legume crop. We previously reported a draft genome assembly of the desi chickpea cultivar ICC 4958. Here we report an advanced version of the ICC 4958 genome assembly (version 2.0) generated using additional sequence data and an improved genetic map. This resulted in 2.7-fold increase in the length of the pseudomolecules and substantial reduction of sequence gaps. The genome assembly covered more than 94% of the estimated gene space and predicted the presence of 30,257 protein-coding genes including 2230 and 133 genes encoding potential transcription factors (TF) and resistance gene homologs, respectively. Gene expression analysis identified several TF and chickpea-specific genes with tissue-specific expression and displayed functional diversification of the paralogous genes. Pairwise comparison of pseudomolecules in the desi (ICC 4958) and the earlier reported kabuli (CDC Frontier) chickpea assemblies showed an extensive local collinearity with incongruity in the placement of large sequence blocks along the linkage groups, apparently due to use of different genetic maps. Single nucleotide polymorphism (SNP)-based mining of intra-specific polymorphism identified more than four thousand SNPs differentiating a desi group and a kabuli group of chickpea genotypes
Radial basis neural tree model for improving waste recovery process in a paper industry
In this article, we propose a novel hybridization of regression trees (RT) and radial basis function networks (RBFN), namely, radial basis neural tree (RBNT) model,
for waste recovery process improvement in the paper industry. As a by-product of the paper manufacturing process, a lot of waste along with valuable fibers and fillers
come out from the paper machine. The waste recovery process (WRP) involves separating the unwanted materials from the valuable ones so that the recovered fibers
and fillers can be further reused in the production process. This job is done by fiber-filler recovery equipment (FFRE). The efficiency of FFRE depends on several
crucial process parameters and monitoring them is a difficult proposition. The proposed model can be useful to find the essential parameters from the set of available
data and perform prediction task to improve waste recovery process efficiency. An idea of parameter optimization along with regularity conditions for the universal consistency of the proposed model are given. The proposed model has the advantages of easy interpretability and excellent performance when applied to the FFRE
efficiency improvement problem. Improved waste recovery will help the industry to become environmentally friendly with less ecological damage apart from being cost-effective
Nitrite linkage isomerization promoted by alkyne insertion in ruthenium organometallics
1-3The title transformation is of type η2-nitrite
→
η1 nitrite and it occurs upon
reacting carbonyl(η2-nitrito)[4-methyl-6-(N-p-tolyl-imino)phenol]
bis (triphenylphosphine) ruthenium(II) with acetylene in warm CH2Cl2-MeOH
medium affording carbonyl (η1-nitrito) [2- vinyl -4- methyl
-6-(N-p-tolyl-imino) phenolato] bis(triphenylphosphine) ruthenium(II) in
which the iminium function is involved in weak bifurcated hydrogen bonding with
phenolato oxygen and a nitrite oxygen atom
Synthesis and catalytic epoxidation potential of oxodiperoxo molybdenum (VI) complexes with 2-hydroxybenzohydroxamate and 2-hydroxybenzoate: the crystal structure of PPh4 [MoO (O2) 2 (HBA)]
info:eu-repo/semantics/publishe
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