Semi-supervised heterogeneous evolutionary co-clustering

One of the challenges of the machine learning problem is the absence of sufficient number of labeled instances or training instances. At the same time generating labeled data is expensive and time consuming. The semi-supervised approach has shown promising results to solve the problem of insufficient or fewer labeled instance datasets. The key challenge is incorporating the semi-supervised knowledge into the heterogeneous data which is evolving in nature. Most of the prior work that uses semi-supervised knowledge has been performed on heterogeneous static data. The semi-supervised knowledge is incorporated into data which aid the clustering algorithm to obtain better clusters. The semi-supervised knowledge is provided as constrained based or distance based. I am proposing a framework to incorporate prior knowledge to perform co-clustering on the evolving heterogeneous data. This framework can be used to solve a wide range of problems dealing with text analysis, web analysis and image grouping. In the semi-supervised approach we incorporate the domain knowledge by placing the constraints which aid the clustering process in performing effective clustering of the data. In the proposed framework, I am using the constraint based semi-supervised non-negative matrix factorization approach to obtain the co-clustering on the heterogeneous evolving data. The constraint based semi-supervised approach uses the user provided must-link or cannot-link constraints on the central data type before performing co-clustering. To process the original datasets efficiently in terms of time and space I am using the low rank approximation technique to obtain the sparse representation of the input data matrix using the Dynamic Colibri approach

QWERTY Cipher

Substitution cipher is use to encrypt plaintext into ciphertext for secure communication. The message is encrypted by substituting the letter of alphabet n places ahead of the current letter, where ‘n’ acts as a key The Substitution Cipher works on the set of 26 English alphabets. In this paper we introduce the QWERTY Cipher which is the extension to the Substitution Cipher. This cipher works on set of 36 characters only by adding digits and some other symbols to the existing substitution cipher in addition to that changes the mapping sequence used in the substitution cipher. The mapping takes from an alphabet sequence to extended QWERTY keyboard sequence. DOI: 10.17762/ijritcc2321-8169.150518

Profile of pathogens isolated from different clinical samples and their antimicrobial pattern: a retrospective study

Background: Since there is a significant rise in resistant bacteria to different antimicrobial agents, there is a need to study the resistance pattern of different isolates from different clinical samples for effective use of available antimicrobials by clinicians. The aim of the present study was to detect the resistance pattern of various antimicrobials against different clinical isolates in hospitalised patients in out setting.Methods: This is a retrospective study involving the collection of the data from the records of microbiology laboratory. All clinical specimens were processed as per standard microbiological procedures. Antibiotic susceptibility testing was performed by Kirby Bauer disc diffusion method on Mueller Hinton agar plate as per CLSI guidelines.Results: A total of 153 isolates were recovered from 219 clinical samples accounting for 69.86% of total positivity. Which includes gram negative bacilli 107/153 (69.93%) gram positive cocci 36/153 (23.53%) and yeast 10/153 (6.54%). Among the total isolates gram negative bacilli account for major number of isolates 69.93% followed by gram positive cocci 23.53% and yeast 6.54%. Gram positive cocci and gram-negative bacilli showed a significant level of antimicrobial resistance. Nitrofurantoin is highly effective against urinary isolates of Escherichia coli. vancomycin and linezolid are most effective antimicrobials against gram positive cocci. Among gram negative bacilli meropenem and amikacin are most effective antimicrobials. Statistical significance of occurrence of Escherichia coli as predominant isolate as compared to other isolates were analysed by chi square test by using GraphPad online calculator. A p value<0.001 was obtained.Conclusions: Significant rise in antimicrobial resistant pathogens were observed. Local antimicrobial policy should be developed for effective selection of available antimicrobials which are the need of the day to reduce the burden of diseases on global health care system

Effect of Inorganic, Organic Nutrient Sources and Bio-Fertilizers on Growth Attributes, Biomass at Flowering and Nodule Weight of Phaseolus vulgaris (Rajma)

It is essential to adopt new techniques and management practices as integrated nutrient management. The combined use of organic, inorganic manures and bio-fertilizer not only increases the crop yield but also improves the physical, Chemical and biological properties of soil. As enhance these properties, we can enhance the growth rate at flowering and nodule weight of plant, Phaseolus vulgaris. It did positive impact on quality and yield of Rajama. To study this, nine treatments, three replications, RBD design and Dibbling sowing method was adopted. The growth and yield attributes i.e. height, number of branches plant-1, Number of pods plant-1, number of grains pod-1 were recorded highest when only inorganic fertilizers @ 150% RDF was applied and these plant characters were recorded lowest when only vermicompost was applied.&nbsp; Biomass production at flowering, grain and straw yield were highest due to application of 150% RDF of NPK through inorganic fertilizers.&nbsp; The lowest biomass production at flowering was recorded where 2.5 t vermicompost at sowing and 50 % N through urea at flowering were applied. The lowest grain yield and straw yield was recorded when only vermicompost @ 5 tonnes ha-1 was applied.&nbsp; Fresh weights of nodules were negligible

Vehicular Ad-hoc Network with Adaptive Cruise Control

Data fusion is the process of combining data from multiple sources. To improve accuracy of the information it is necessary to collect data from multiple sensors. The intelligent transport system (ITS) is used for vehicles safety applications. It is also used to enhance the non safety applications i.e. road and vehicle efficiency. In vehicular ad-hoc network multiple sensors are available for security measures for driver, and also important for communication between V2V, V2I or I2V. To control the cruising of vehicle Adaptive Cruise Control is required. To broadcast information unscented filter based on recursive Kalman type of estimator is used

SIMULTANEOUS ESTIMATION OF AZILSARTAN AND CILNIDIPINE IN BULK BY RP-HPLC AND ASSESSMENT OF ITS APPLICABILITY IN MARKETED TABLET DOSAGE FORM

Objective: This study aims to build up the RP-HPLC process for Azilsartan and Cilnidipine and authenticate the RP-HPLC process according to ICH validation code Q2R1. Methods: System suitability testing was performed to discover the qualifying criterion of the method by injecting the identical standard solution of Azilsartan 40μg/ml and Cilnidipine 10μg/ml in mixture/combination in subsequent optimized chromatographic conditions and the chromatogram was recorded. Moreover, the planned method was validated as per ICH guideline Q2R1 for the following parameters: linearity and range, precision, accuracy, robustness, and determined % recovery. Results: The outcomes of %RSD for retention time and peak area were found to be 0.65 and 1.32 for Azilsartan and 0.85 and 1.90 for Cilnidipine. The correlation coefficient, y-intercept, slope of the regression line were 0.9996,-1127.1, 3313.9, and 0.9993, 1460.2, 2876.4 for Azilsartan and Cilnidipine, respectively. Moreover, the range of this method was observed to be 40-240μg/ml and 10-60 μg/ml for Azilsartan and Cilnidipine, standard concentrations respectively. The % RSD achieved for precision (repeatability) was observed in the range of 1.57 to 2.43 for Azilsartan and 0.70 to 1.88 for Cilnidipine. The % accuracy was found in the range of 96.96 to 101.92% w/w for Azilsartan and 99.19 to101.96%w/w for Cilnidipine. The percent recovery values achieved for Azilsartan were in the range of 99.87 to 106.39% w/w and for Cilnidipine in the range of 94.51 to 105.96% w/w. Conclusion: The author concludes that the simultaneous estimation of Azilsartan and Cilnidipine with predefined objectives was successfully achieved. Moreover, the method was found to be steadfast for the quantification of Azilsartan and Cilnidipine in marketed tablet dosage forms

The Evaluation of Nickel Toxicty on Lamellidens marginalis

The study deals with calculation of LC10 and LC50 values for 24 and 96 hours. In present study, the toxicity of Nickel Chloride on Lamellidens marginalis showed that with increasing time and concentration, mortality rate increase.  From this investigation, the exact cause of their death is not known but it is proved that nickel chloride brings some changes in physiochemical properties of water and it affects the metabolic rate severally leading to the death of animals. The toxicity study provides the level of safe concentration of toxicant

Development and Validation of Stability Indicating RP-HPLC Method for Estimation of Alogliptin and Metformin HCl Drug from Bulk and Pharmaceutical Dosage Form

The objective of the current study was to develop a simple, accurate, precise and rapid RP-HPLC method with subsequently validate as per ICH guidelines for the determination of Alogliptin benzoate&nbsp; and Metformin hydrochloride&nbsp; using mobile phase [mixture of Phosphate buffer- pH-3.6 and acetonitrile in the ratio of 65:35] as the solvent. The proposed method involves the measurement of Retention time at selected analytical wavelength. 235.0 nm was selected as the analytical wavelength. The retention time of ALO and MET was found to be 5.055 and 2.838 respectively. The linearity of the proposed method was investigated in the range of 1-5 μg/ml (r = 0.9998) for ALO and 10-50μg/ml (r = 0.9999) for MET respectively. The method was statistically validated for its linearity, accuracy and precision. Both inter-day and intra-day variation was found to be showing less % RSD (Relative Standard Deviation) value indicating high grade of precision of the method. Keywords: RP-HPLC METHOD, Alogliptin benzoate, Metformin hydrocholiride, Validation

International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS