Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Complexation of an Azo Dye by Cyclodextrins: A Potential Strategy for Water Purification.

Abstract: The chemistry of the host-guest complex formation has received much attention as a highly efficient approach for use to develop economical adsorbents for water purification. In the present study, the synthesis of three β-cyclodextrin (β-CD) inclusion complexes with the oil orange SS (OOSS) azo dye as a guest molecule and their potential applications in water purification are described. The complexes were synthesized by the coprecipitation method and characterized by Fourier transform infrared (FTIR) spectroscopy, UV-vis spectroscopy, X-ray diffraction (XRD), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC). FTIR and thermal analyses confirmed the encapsulation of OOSS dye within the hydrophobic cavity of β-CD. The encapsulation of hydrophobic dye inside the β-CD cavity was mainly due to the hydrophobic-hydrophobic interaction. The results showed that the stability of the OOSS dye had been improved after the complexation. The effect of three different compositions of the host-guest complexes was analyzed. The present study demonstrated that the hydrophobic dye could be removed from aqueous solution via inclusion complex formation. Thus, it can play a significant role in removing the highly toxic OOSS dye from the industrial effluent.

A Comprehensive Study for the Hindi Language to Implement Supervised Text Classification Techniques

Abstract: A large amount of feedback, comments, and postings made every second in social networking is rapidly growing the social database. Now, enormous data must be analyzed to determine the direction of people’s opinions about a certain business and its products. The bulk of evaluations on the internet are in English, however as technology develops and people’s knowledge expands, Also the amount of online information available in Hindi languages grows. To comprehend people’s sentiments around real-world things, due to this Hindi language sentiment analysis is necessary; their reviews are equally important to us. For categorization accuracy, we used the Hindi language resource for general news headlines from several news sources. For text categorization, we utilized machine learning (ML) classification methods such as Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), and Logistic Regression (LR), and the accuracy varied.

Impact of Climate Change on Root–Pathogen Interactions

Abstract: The pathogenicity of microbes in the rhizosphere is influenced by the change in climatic conditions. The modification in climate factors as temperature, CO2, moisture, etc. enhances the abundance and virulence of soilborne pathogens residing in the rhizosphere. Among, microbial communities, fungi such as Fusarium and Rhizoctonia infect a wide range of commercially-significant crops and can significantly affect world economy. To vanquish the phytopathogens, an array of chemical pesticides is used, which compromise soil health by altering its biochemical attributes. Indeed, biological control is proposed to be the sustainable alternative of the chemical additives, but it has limitations. The nexus between climate change and phytopathogen functions requires better comprehension to avoid crop loss and to tackle food insecurity.

Study of Molarity Concentration Variation Over Optical, Structural and Gas Sensing Response for ZnO Thin Film Based NOx Gas Sensor

Abstract: Zinc oxide (ZnO) thin films as sensing layer with different molarity concentration are obtained by the sol–gel method using spin coating technique. Zinc acetate dihydrate (Zn(CH3COO)2·2H2O) was taken as starting material. For desired molarity weighed Zinc Acetated dihydrate is dissolved in particular amount of Ethanol. The solution is put on hot plate with Magnetic stirrer at a temperature of 60 °C while stirring 400 rpm to 600 rpm procedure continued for 45 min to 60 min. After that the solution was kept at room temperature for 24 h for ageing effect. By using spin coating method the prepared solution was coated on silicon substrate and then annealed for preparing highly crystalline ZnO thin films. The optical surface morphological and structural studies were done for the synthesized ZnO thin films. The important parameter considered for the gas sensing behavior are operating temperature and sensor response The reported study provides a significant development towards ZnO thin film thickness variations with a very high sensitivity, rapid response and recovery times. The UV–Vis transmittance spectra of ZnO thin films has been studied over quartz substrate under similar deposition parameters. The single coated samples were prepared with different molarities of 1 M, 0.7 M, 0.5 M, 0.33 M, 0.1 M, 0.05 M. Energy band gap of each sample is calculated by using Tauc plot and studied for the varying band gap & the gas sensitivity for the samples.

A review to detect leukemia cancer in medical images

Abstract: Health informatics has been qualified as prominent province in the headway of information technology. Ascribable to such a sophisticated evolution in the health care informatics, it is viable at the present period of time to diagnose several ailments in a short span of time. In relation to complaints, there is one disease dub leukemia which can be recognised by manipulating different techniques of information technology. Leukemia customarily occurs when a big portion of nonstandard White Blood Cells produced in the body by bone-marrow. Hematologist makes usage of microscopic study of human blood-cells which leads towards the requirement of several different methods that consist of microscopic-images, segmentation process, grouping as well as classification that can allow proper identification of numerous distinct patients that are having leukemia disease. The image data-set of microscopic ridges would be inspected visually by using some hematologists as well as this process is quite time consuming along with exhausting. The well-timed and fast discovery of leukemia considerably aids in providingaptcure to the sick-patient. The necessity for computerization of detection of this disease generally rises perpetually since modern techniques that include proper manual-investigation of the tissues of the blood as primary step in the direction of disease diagnosis. This procedure is relatively time-consuming, along with their proper accurateness depend upon the proficiency of operator's. So, prevention of leukemia is quite important. This paper has surveyed several methods utilized by prior authors such as ANN (Artificial Neural Network), image processing, LDA (Linear Dependent Analysis), SOM (Self Organizing Map) etc.