Numerical simulation of pressures in a radical system

The time-space location of an advancing front has been described in such a manner as to permit the calculation of frontal pressures when a heterogeneous (in permeability) radial system is subjected to water encroachment. A finite difference application has been developed to calculate these pressures at specified radial distances from the injection or production wellbore. These pressure have been further utilized to predict the pressures at the advancing front for different time intervals --Abstract, page iii

Sodium Alginate Based Mucoadhesive System for Gatifloxacin and Its In Vitro Antibacterial Activity

The objective of this study was to formulate sodium alginate based ophthalmic mucoadhesive system of gatifloxacin and its in vitro antibacterial potential on pathogenic microorganisms, Staphylococcus aureus and Escherichia coli. Sodium carboxymethylcellulose (NaCMC) was added to the formulations to enhance the gel bioadhesion properties. The prepared formulations were evaluated for their in vitro drug release, gelation behaviour, rheological behavior, and mucoadhesion force. All formulations in non-physiological and physiological condition showed pseudo plastic behavior. Increase in the concentration of sodium alginate and sodium CMC enhanced the mucoadhesive force significantly. In vitro release of gatifloxacin from the system in simulated tear fluid (STF, pH – 7.4), was influenced significantly by the properties and concentration of sodium alginate, NaCMC. Significant reduction in total bacterial count was observed between control and treatment groups with both the test organisms

QUALITATIVE CHARACTERIZATION OF PHYTOCHEMICALS AND IN VITRO ANTIMICROBIAL EVALUATION OF LEAF EXTRACT OF COUROUPITA GUIANENSIS AUBL. - A THREATENED MEDICINAL TREE

Objective: Screening of phytochemicals present in aqueous extract and evaluation of the antibacterial and antifungal activities from different organic extracts of leaf of C. guianensis Aubl.Methods: Antimicrobial activity of different extracts was evaluated by using the disc diffusion assay. Methanolic, ethanolic and chloroform extracts of leaf were tested against fungus and representatives of Gram-positive and Gram-negative bacteria.Results: Presence of alkaloids, flavonoids, glycosides, phlobatannins, steroids, tannins and terpenoids was observed in aqueous extract of leaf. Chloroform extract showed better activity against Gram-positive bacteria in comparison to Gram-negative bacteria. Methanolic extract was more effective on Gram negative bacteria. Leaf extract was also effective against Candida species. Minimum inhibitory concentration was 25 mg/ml for ethanolic, 50 mg/ml for methanolic and 100 mg/ml for chloroform extracts against S. aureus. Conclusion: Present study of C. guianensis seems to be promising for pharmaceutical industries for making an antimicrobial drug or cream especially against S. aureus and provides details of pharmacological investigation, identification, isolation and characterization of novel bioactive compounds

IT Infusion and its Performance Impacts: An Empirical Analysis of eProcurement in the Service Industry

This paper examines the infusion of e-procurement applications along two dimensions of usage – intensity and organizational acceptance – and tests the relationship between use and procurement performance. Drawing upon the resource-based view of the firm, this paper tests the relationship between select organizational resources and e-procurement infusion in the context of procurement of indirect materials and services. The research model is estimated with survey data obtained on 193 organizations from the service sector. Data are analyzed using structural equation modeling. The results suggest that while organizational integration and business knowledge of IT managers are significantly related to only organizational acceptance of e-procurement, procurement process readiness and organizational slack resources are related to both the dimensions of e-procurement infusion. Our results also show that both dimensions of e-procurement infusion are positively related to procurement performance while their interaction effect on performance is negative. Theoretical and practical implications of these results are discussed

Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters

The World Health Organization labelled the new COVID-19 breakout a public health crisis of worldwide concern on 30 January 2020, and it was named the new global pandemic in March 2020. It has had catastrophic consequences on the world economy and well-being of people and has put a tremendous strain on already-scarce healthcare systems globally, particularly in underdeveloped countries. Over 11 billion vaccine doses have already been administered worldwide, and the benefits of these vaccinations will take some time to appear. Today, the only practical approach to diagnosing COVID-19 is through the RT-PCR and RAT tests, which have sometimes been known to give unreliable results. Timely diagnosis and implementation of precautionary measures will likely improve the survival outcome and decrease the fatality rates. In this study, we propose an innovative way to predict COVID-19 with the help of alternative non-clinical methods such as supervised machine learning models to identify the patients at risk based on their characteristic parameters and underlying comorbidities. Medical records of patients from Mexico admitted between 23 January 2020 and 26 March 2022, were chosen for this purpose. Among several supervised machine learning approaches tested, the XGBoost model achieved the best results with an accuracy of 92%. It is an easy, non-invasive, inexpensive, instant and accurate way of forecasting those at risk of contracting the virus. However, it is pretty early to deduce that this method can be used as an alternative in the clinical diagnosis of coronavirus cases

Development of a Novel Rapid Immunodiagnostic Kit Based on Flagellar 40 kDa Antigen Epitope for the Detection of Typhoid Fever in Indian Patients

To aid the clinical diagnosis of typhoid fever in India, where most hospitals and primary health centres have no facilities for culture, we report on the development of a novel and rapid immunodiagnostic kit for the direct detection of Salmonella Typhi—specific IgG antibodies against S. Typhi flagellar H antigen. The disease often does not show a specific clinical picture, and can be confused with other febrile illness such as malaria, dengue fever and Staphylococcus aureus. To overcome the problem of cross reactivity specific epitope of the flagellar H antigen was immobilised on the testing kit strip eliminating chances of cross reactivity and false positive results thereby increasing the specificity of the test. Since the immunodiagnostic kit, uses the flagellar H antigen from bacteria present in our country, the antibodies present in the serum of patients of our country will have maximum binding affinity, enhancing the sensitivity of our test kit. The immunodiagnostic kit on analysis gave a positive result with clinically diagnosed typhoid positive patient serum and negative results were obtained with the sera of clinically diagnosed malaria, abscess of Staphylococcus aureus and Visceral leishmaniasis (Kala-azar) patients

Anti-mycobacterial activity of Piper longum L. fruit extracts against multi drug resistant Mycobacterium Spp

A long tradition of using pepper as to fight against several ailments by the local tribal people is still in the practice, in many parts of the rural India. So utilizing this tribal knowledge base for this highly medicinal plant, an attempt was made to isolate some novel natural bioactive compounds with potential activity against multidrug resistant (MDR) Mycobacterium. A bioassay guided fractionation of Pippali (Piper longum L.) was performed in five different organic solvents and their activities were monitored against different pathogenic bacteria including MDR Mycobacterium. Different fractions were screened for the bioactivity against Mycobacterium, and the structure of bioactive compound was characterized with H1 and C13 NMR. An ethyl acetate fraction of Pippali extract was found active against M. smegmatis (3000µg ml-1) and M. tuberculosis (39 µg ml-1). It also shows very significant activity against other bacterial strains like E.coli (152 µg ml-1), Staphylococcus aureus (14 µg ml-1), Salmonella typhi (180 µg ml-1), Enterococcus faecalis (15 µg ml-1), and Pseudomonas aeruginosa (52 µg ml-1). This fraction of ethyl acetate was then purified and characterized as piperine [5-(1, 3-benzodioxol-5-yl)-1-piperidin-1-ylpenta-2,4-dien-1-one], a well known alkaloid from this plant. Bioactivity guided fractionation concludes that Piperine is the only active ingredients in various fractions of fruit extract evaluated for antibacterial activity. Fraction having piperine has significant activity against multi drug resistant strains of Mycobacterium spp. than other purified fractions of fruit extract. The current finding encourages us to develop new alternative medicine that includes piperine alone and/or in combination with other drugs to fight against the drug resistance among Mycobacterial strains.   

Rapid detection of dermatophytes from skin and hair

Abstract Background Dermatophytes are a group of closely related keratinophilic fungi that can invade keratinized humans and animals tissues such as skin, hair and nails causing dermatophytosis. They are an important cause of superficial fungal infection. Findings Conventional methods like potassium hydroxide (KOH) microscopy and fungal culture lacks the ability to make an early and specific diagnosis. In this study we have evaluated nested Polymerase chain reaction (PCR) using primers targeting dermatophyte specific sequence of chitin synthase 1 (CHS1) gene and compared with conventional test. A total of 155 patients clinically suspected with dermatophytosis were included in the study. Of which 105 specimens were skin scrapings and 50 were hair. KOH microscopy, fungal culture and first round and nested PCR were done on clinical specimens, and results compared. Nested PCR for dermatophytes was positive in 83.8% specimens, followed by KOH microscopy (70%), first round PCR (50.8) and fungal culture (25.8). Conclusion Results indicate that nested PCR may be considered as gold standard for the diagnosis of dermatophytosis and can aid the clinician in initiating prompt and appropriate antifungal therapy.</p

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism

Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. In addition, employers typically spend a considerable amount of time managing employees who perform poorly. By using predictive analytics and machine learning algorithms, organizations can make better decisions, thereby increasing organizational productivity, reducing costs, and im-proving efficiency. Thus, in this paper we propose hybrid optimization methods in order to find the most parsimonious model for absenteeism classification. We utilized data from a Brazilian courier company. In order to categorize absenteeism classes, we preprocessed the data, selected the attributes via multiple methods, balanced the dataset using the synthetic minority over-sampling method, and then employed four methods of machine learning classification: Support Vector Machine (SVM), Multinomial Logistic Regression (MLR), Artificial Neural Network (ANN), and Random Forest (RF). We selected the best model based on several validation scores, and compared its performance against the existing model. Furthermore, project managers may lack experience in machine learning, or may not have the time to spend developing machine learning algorithms. Thus, we propose a web-based interactive tool supported by cognitive analytics management (CAM) theory. The web-based decision tool enables managers to make more informed decisions, and can be used without any prior knowledge of machine learning. Understanding absenteeism patterns can assist managers in revising policies or creating new arrangements to reduce absences in the workplace, financial losses, and the probability of economic insolvency