Spectroscopic and theoretical investigation on the origin of color in jarosites

This work aims to understand the origin of the electronic spectra of Fe3+ (d5), Cr3+ (d3), and V3+ (d2) containing jarosites. The electronic spectrum of the Fe-jarosite is currently assigned to spin forbidden transitions. This work shows that the spectra essentially arise due to the tetragonal distortion of the coordination symmetry of the Fe3+ ion in the jarosite crystal, and thereby obviates the need for invoking spin forbidden transitions. The absorption spectra of Cr- and V-jarosite are also assigned to transitions predicted for the tetragonal distortion of the metal ion coordination. The electronic term symbols are worked out using the correlation diagram and Tanabe-Sugano diagram for orbital splitting for all three systems employing ab initio and DFT methods. The bandgaps were computed and corroborated with the experimentally measured values to support the low symmetry at the metal center. © 2021 Elsevier B.V

Spark-Based FP-Growth Algorithm for Generating Association Rules from Big Data

Data mining is used to discover Business Intelligence Rules from large transactional database, frequent itemset mining and association rule mining are data mining techniques which are utilized for real-world applications using apriori algorithm as well as FP-Growth algorithm. To extract frequent itemset and association rules from the grocery store using traditional apriori algorithm takes time because it generates candidate key for each item in the dataset, whereas in FP-Tree without generating any candidate key it finds frequent items and association rules for the grocery dataset by constructing FP-Tree, and it is time consuming. To overcome this problem, we propose a method called MapReduce-based FP-Tree algorithm which generates frequent patterns and association rules by using parallel computations to reduce computational time. The experimental results show that time taken for generating frequen

Thrombin- and plasmin-like and platelet-aggregation-inducing activities of Plumeria alba L. latex: Action of cysteine protease

Ethnopharmacological relevance: In folk medicine, parts of Plumeria alba L. are used for the treatment of many diseases, with its latex being used for curing skin diseases and promoting wound healing. Aim of the study: This study aimed to study the role of P. alba L. latex in hemostasis and platelet aggregation. Materials and methods: The latex of P. alba L. was processed to remove waxes and enrich protein content, and the final extract was named Plumeria alba L. natant latex (PaNL). PaNL was analyzed for protease activity against casein. The type of protease in PaNL was identified by using protease inhibitors such as E−64, phenylmethylsulfonyl fluoride, ethylenediaminetetraacetic acid, and pepstatin A. Human fibrinogen, fibrin, and collagen types I and IV were subjected to hydrolysis with different concentrations of PaNL. The thrombin-like activity of PaNL was determined by analyzing its fibrinogen-clotting and procoagulant activities. The role of PaNL in platelet aggregation was also investigated. Its hemorrhagic and edema-inducing activities were evaluated in a mouse model. Phytochemical compounds were identified by gas chromatography–mass spectroscopy. Results: The findings of casein/gelatin zymography confirmed that PaNL possesses protease activity. The results of the protease inhibition study indicated the presence of a cysteine-type protease(s) in PaNL. PaNL hydrolyzed the subunits of fibrinogen, fibrin, and collagen types I and IV. Its fibrin-degradation activity indicated that PaNL possesses plasmin-like activity. PaNL induced clotting of citrated human plasma within 3 min of incubation in the absence of CaCl2, indicating the presence of thrombin-like activity, which was further confirmed by the results of the fibrinogen-clotting assay. PaNL induced platelet aggregation in the absence of agonists. There was no hemolytic activity. Mice injected with PaNL did not show edema/ hemorrhagic activity. Conclusion: PaNL possesses procoagulant, fibrino(geno)lytic, thrombin- and plasmin-like activities and induces platelet aggregation, which could explain its usage for wound treatment in folk medicine. © 2021 Elsevier B.V

Multi-applications of new trinuclear Zr-SMI complex

We report on the synthesis route and applications of new solid material Zirconium salicylate methylimidazole. Zirconium based complex was successfully synthesized by a cost-effective, simple stirring method on a hot water bath. The synthesized material arranged in layers with notable properties such as crystalline nature, highly homogeneous topology, and stable oxidation states at room temperature, and large surface area, and thermal stability. As-synthesized zirconium 3D H-bonded complex subjected to multiple applications since it has met desirable characteristics. Zr-SMI electrode has shown rare combination of pseudocapacitor-battery behavior. Supercapacity of 1165 mAhg−1 at 3 Ag−1 was achieved by the Zr-SMI electrode in basic electrolyte. Excellent electrochemical sensing response was found by the Zr-SMI electrode for an organic molecules such as Methylene blue (MB), and L-alanine analytes. In addition, Zr-SMI showed excellent catalytic property towards complete degradation of MB, Methyle orange (MO), and rhodium (RH) dyes. All these results implied the excellent electrochemical and catalytic behavior of Zr-SMI and proved as a promising material for multiple applications. © 2021 Elsevier B.V

Influence of contact area on tribo response of Al 6061 in ambient and vacuum environment

Aluminium alloys are used in spacecraft and aerospace industries because of their unique properties which are lightweight and high strength. The components of aluminium alloys used in aerospace and space environment are subjected to relative motion which results in the tribo-phenomenon. The designer needs tribo response data for designing components geometrical dimensions. The literature reports inadequate tribo response data, more particularly in a vacuum environment (adverse environment). In the present investigation, experiments were conducted using Al 6061 aluminium alloy pins with different diameters. The cylindrical pin diameters were 2mm, 4mm and 6 mm. The cylindrical pins were slid against a hardened En-8 steel disc. The normal pressure was maintained at 0.625 MPa and the sliding speed was 0.5 ms-1. The estimated friction coefficient from monitored frictional force and normal force and the dependency of estimated friction coefficient on sliding distance for cylindrical pins of different diameters were analysed

On some infinite families of congruences for [j, k]-partitions into even parts distinct

In this paper, we define the partition function pedj;kðnÞ; the number of [j, k]-partitions of n into even parts distinct, where none of the parts are congruent to j (mod k) (where k [ j 1Þ. We obtain many infinite families of congruences modulo powers of 2 for ped3;6ðnÞ and congruences modulo powers of 2 and 3 for ped9;18ðnÞ. For example, for all n 0 and a; b 0; ped9;18 2 34aþ4 72bþ1 ð7n þ sÞ þ 11 34aþ3 72bþ1 þ 1 4 � 0 (mod 16); where s ¼ 0; 2; 3; 4; 5; 6: Keywords Congruences Partitions with even parts distinct [j k]-partition

Real-Time Multi-View Face Recognition using Alignment-RMFRA

Face Recognition plays an important role in most of the disciplines in the recent world. One of the most common discipline is security and fraud detection. Facial alignment is a method of arranging the facial landmarks points on the face and those landmarks gives fine points for face recognition. Face detection and identification is important in the fraud detection. Therefore, detection of profile and semi-profile faces plays a vital role in security purpose. The face alignment by utilizing Hourglass model gives better accuracy for face recognition by using Haar-Cascade Classifier can be obtained by facial aligned dataset. The performance is measured by the accuracy rate and precision. It gives better results when compared to face recognition by using Support Vector Machine [SVM] and Principal Component Analysis [PCA]. The model gives alignment of facial points with 68 landmark points and the aligned data is sent as an input for the face rec

Network topology analysis of essential genes interactome of Helicobacter pylori to explore novel therapeutic targets

The Helicobacter pylori chronic colonization produces a wide range of gastric diseases in the gastric mucosa by abetting inflammation. Amidst coevolution and reorganization of its metabolism with humans, it has become difficult still imperative to understand and prevent its growth. This study focus to explore functional insights into identification of hub proteins/genes by aggregating the behavior of genes connected in a protein-protein interaction (PPI) network. We have constructed a PPI network of 123 essential genes along with 1213 interactions in H. pylori 26695. The degree and other centrality measures analysis assist in identifying the important hub nodes, which are top-ranked proteins. A total of nine proteins (recA, guaA, dnaK, rpsB, rplQ, rpmA, rpmC, rpmF, and rpsE) were obtained with high degree (k), betweenness centrality (BC) value. Gene ontology analysis reveals 8, 5 and 3 GO terms correspond to biological processes, cellular components and molecular function respectively. Gene complexes of hypothetical proteins (HPs) were related to aminoacyl-tRNA biosynthesis, biosynthesis of secondary metabolites, bacterial secretion system and protein export. The MCODE analysis revealed that protein from module M1, M3 and M6 include the proteins which have highest degree and BC values. It is noteworthy to mention that the bifunctional GMP synthase/glutamine amidotransferase protein (guaA), molecular chaperon (dnaK), recombinase A (recA) constitute as hub proteins. As a result, these genes are considered as network hub nodes that might be used as therapeutic targets. Our analysis affords a detailed understanding of the molecular process and pathways regulated by the essential genes in H. pylori 26695. © 2021 Elsevier Lt

Gene cloning, recombinant expression, and bioassay of an allatotropin in Spodoptera litura Fabricius (Lepidoptera: Noctuidae)

Background: Allatotropin, a neuropeptide found in several invertebrates indirectly regulates vitellogenesis by stimulating juvenile hormone biosynthesis by the corpora allata. Here, we cloned and expressed the gene encoding allatotropin of Spodoptera litura (tobacco cutworm), a polyphagous pest in the Asian tropics. This study is aimed at studying the efect of recombinant protein on egg-laying in females of S. litura as it could be used as a method to control the pests from a reproductive perspective

Numerical solutions of the mathematical models on the digestive system and covid-19 pandemic by hermite wavelet technique

This article developed a functional integration matrix via the Hermite wavelets and proposed a novel technique called the Hermite wavelet collocation method (HWM). Here, we studied two models: the coupled system of an ordinary differential equation (ODE) is modeled on the digestive system by considering different parameters such as sleep factor, tension, food rate, death rate, and medicine. Here, we discussed how these parameters influence the digestive system and showed them through figures and tables. Another fractional model is used on the COVID-19 pandemic. This model is defined by a system of fractional-ODEs including five variables, called S (susceptible), E (exposed), I (infected), Q (quarantined), and R (recovered). The proposed wavelet technique investigates these two models. Here, we express the modeled equation in terms of the Hermite wavelets along with the collocation scheme. Then, using the properties of wavelets, we convert the modeled equation into a system of algebraic equations. We use the Newton–Raphson method to solve these nonlinear algebraic equations. The obtained results are compared with numerical solutions and the Runge–Kutta method (R–K method), which is expressed through tables and graphs. The HWM computational time (consumes less time) is better than that of the R–K method