Effects of Ink, Substrate, and Target Line Width on the Quality of Lines Printed Using a DMP 3000 Inkjet Printer

This thesis is concerned with the image quality analysis of inkjet lines printed on substrates. ISO 24790 compliant lines are designed and printed on a substrate with a drop-on-demand inkjet printer. This study analyzes three print quality attributes of line: width, blurriness, and raggedness. The research used cyan, magnetic and standard inks to print the same design on various substrates having differences in gloss and texture. The chosen inks were measured using a rheometer to determine a viscosity range. The effects of substrate structural parameters, such as texture, finishing, weight, and ink type on line quality, are discussed. The printed lines were measured using a charged coupled device camera. The print attributes were measured, and statistical analysis was conducted. Based on this analysis, it was observed that substrate has significant effect on all the response variables. The substrate which produced best result is luster for raggedness and line width conformity and matte for blurriness. Ink has significant effect on the line width conformity and raggedness whereas there is no significant effect of inks on blurriness. There is no effect of increase in the line width on any of the response variables. A design of experiment methodology was successfully implemented to determine the effect of surface properties of the substrate and the effect of ink properties on print quality

Analysis of Hispanic School and College Enrollment in South Carolina, 2010 - 2014

The article focused on the analysis of Hispanic school and college enrollment in South Carolina (SC), 2010-2014. Datasets were obtained for selected counties of South Carolina from the U.S. Census Bureau the period of 2010 to 2014 and were grouped into four geographical regions for the analyses at the regional level. Distribution of total enrollment was divided into three groups, Elem-Mid School, High School, and College. Descriptive, graphical, and correlational analyses were used to analyze the data. The results showed that the Coastal region in SC had the highest distribution of Hispanics; as the Hispanic population increased, school enrollment increased in SC; the increase in enrollment in Elem-Mid school in all regions indicated an increase in the younger population; and Hispanic enrollment in precollege increased in SC, but decreased for the US. These results have implications for understanding Hispanic enrollment and in developing educational policies, especially in South Carolina

Passive Porous Treatment for Reducing Flap Side-Edge Noise

A passive porous treatment has been proposed as a means of suppressing noise generated by the airflow around the side edges of partial-span flaps on airplane wings when the flaps are extended in a high-lift configuration. The treatment proposed here does not incur any aerodynamic penalties and could easily be retrofit to existing airplanes. The treatment could also be applied to reduce noise generated by turbomachinery, including wind turbines. Innovative aspects of the proposed treatment include a minimum treatment area and physics-based procedure for treatment design. The efficacy of the treatment was confirmed during wind-tunnel experiments at NASA Ames, wherein the porous treatment was applied to a minute surface area in the vicinity of a flap edge on a 26-percent model of Boeing 777-200 wing

Assessment of prescription pattern using WHO drug prescribing indicators in medicine wards of a tertiary care teaching hospital: a retrospective observational study

Background: Rational prescribing is an essential skill for every prescriber. However many times it seems a difficult task for various reasons. Such practices ultimately increase the mortality, morbidity and financial burden on the patient. Hence, we aimed our study to evaluate appropriateness of prescription pattern according to WHO drug prescribing indicators, few complementary indicators and classify prescription errors.Methods: A retrospective observational study, conducted in medical record section of tertiary care teaching hospital of Maharashtra during the period of 6 months. Total 400 randomly selected prescriptions from Medicine inpatient wards were scrutinized.Results: Average number of drugs per prescription was 5.20 trending towards polypharmacy. Drugs prescribed by generic name were 13.88%, injectable drugs were part of 93.50% prescriptions, 78.25% prescriptions contained an antimicrobial agent and Percentage of drugs prescribed from NELM 2011 was 72.36%. Illegible handwriting in 68% cases was the important cause of prescription errors. These errors found in 73% of prescriptions.Conclusions: The present study showed that the practices were trending towards irrational prescribing. Polypharmacy and illegible prescriptions were dominated. Regular prescription audit will help to rectify such practices. Also, there is an urgent need of sensitization of prescriber through new treatment guidelines, seminar, presentations and discussions on regular basis

The ABC and VED analysis of the medical store of the tertiary care teaching hospital in Maharashtra, India

Background: Substantial amount of money need to be spent on medicines. The ABC-VED matrix is an attempt to evolve on proper inventory control systems.Methods: The study was conducted at medical store of tertiary care hospital in FY 2016-2017. The annual drug consumption and expenditure incurred on each medicine were collected. The data were subjected to ABC and VED analysis. For a management purpose ABC-VED matrix was formulated by combining results of both the analysis.Results: Total 124 drugs consumed budget of INR 2,03,24,881. In the ABC analysis, Category A, B and C were consisted of 18 (14.51%), 21 (16.94%) and 85 (68.55%) medicines respectively. Whereas in the VED analysis, 67 (54.03%) medicines were belongs to category V [INR 1, 61, 13, 992 (79.28%)], 38 (30.65%) medicines to Category E [INR 35, 26,095 (17.35%)] and 19 (15.32%) medicines to Category D [INR 6, 84,794 (3.37%)]. The ABC-VED Matrix shows that category I, II and III contained 69, 38 and 17 medicines respectively. The ADE for Category I was INR 1,71,80,643 (84.53%), for category II was INR 27, 29,919 (13.43%) and for a category III medicines was INR 4, 14,319 (2.04%). According to matrix, category I require topmost management control. Middle and lower managerial staff may supervise category II and category III respectively.Conclusions: ABC-VED analysis helps us to know about the medicines which require more stringent monitoring and management, to narrow down on fewer medicines

Coitus induced vaginal evisceration in a premenopausal woman: a case report

Vaginal evisceration in premenopausal women after trans-abdominal hysterectomy is extremely rare in occurrence and only few cases have been documented in worldwide literature. Here we report a premenopausal woman with coitus induced trans-vaginal evisceration who had undergone trans-abdominal hysterectomy two years ago

Formulation of Mathematical Modeling to Characterize The Aluminium Metals Using Ultrasonic Non-Destructive Techniques

Predicting the type of aluminium metals and composition of elements present in the aluminium samples through Nondestructive testing (NDT) is a matter of very importance for aluminium Industry. The unique method to determine grade of the aluminium sample is required to characterize the aluminium metals. The Nondestructive Technique (NDT) and determination of characteristics and mechanical properties of aluminium metals are used to identify the grade of aluminium metals so that accordingly it can be used for the specific applications. Therefore a technique is required to predict the percentage of aluminium, Iron, Copper, Manganese of aluminium metals so as to categorize into different grades and applications. In Aluminium samples percentage of Aluminium plays very important role which may help to decide the grade of the aluminium metals hence its applications. The present work is focused on how the percentage of aluminium in aluminium samples can be calculated by adopting the mathematical modeling technique. There are various parameters which generally affect the percentage of aluminium in aluminium samples, and play a very major role. Therefore through this investigation an attempt is being made to formulate an approximate mathematical model which will certainly predict the percentage of aluminium in aluminium samples. In advent of this a dimensionless pie terms of various prominent parameters or variables have been taken to form a mathematical model. Some of these variables used to formulate this model are given as follows (i) physical properties of the aluminium samples like hardness, density, modulus of elasticity etc (ii) Signal analysis properties like Peak amplitude of Time signal, FFT, PSD and (iii) both the properties. The data of such types of variables have been recorded and calculated and thus the formulation of model is being done by multiple regression analysis. The model is then optimized and the reliability of the model has also been estimated. In fact this type of model will be helpful to estimate the aluminium percentage

Antibiotic profiling of Pseudomonas aeruginosa isolates from pus sample of rural tertiary care hospital of Western Maharashtra, Loni, India

Background: Pseudomonas aeruginosa (P. aeruginosa) considered as an opportunistic pathogen which can be isolated from various kinds of infection. The risk of emergence of antibiotic resistance is based on different antibiotic treatments. Antibiotic resistance and flexibility to adapt changing environment renders the pathogens a matter of concern in hospital acquired infections. Changing pattern of antimicrobial resistance pose challenge in treating pyogenic infections, hence periodical monitoring of bacterial profile and their antibiotic susceptibility pattern is important. This study deals with the infectious and drug resistance nature of P. aeruginosa with effectiveness of antimicrobial agents against it.Methods: Present study was conducted in Centre for Biotechnology, Pravara Institute of Medical Sciences, Loni, Maharashtra, India. A total of 763 pus samples were received in the bacteriology section of department of microbiology, rural medical college, Loni from the various wards of Pravara Rural Hospital. The colonial morphology and identification was done as per standard microbiology procedures. Antibiogram testing was done as per Kirby Bauer disc diffusion method.Results: Out of 763 pus samples 154 were Pseudomonas aeruginosa thus showing 20.19% prevalence. In this study, it was observed that isolates were sensitive to Ciprofloxacin (76.63%) followed by Amikacin. However, showed 90.90 % resistant to Cefazolin followed by Co-trimoxazole 75.97% was observed. Multi drug resistance (MDR) strain 68.83% (N=106) was detected from 154 isolates strains of Pseudomonas aeruginosa. Prevalent resistance pattern was found to be GENr, AKr, CAZr, CZr, COTr for 10 (9.43%) isolates followed by GENr, CAZr, CZr, MRPr, COTr, CIPr for 9 (8.49%) isolates.Conclusions: Present study focused on antibiotic resistance pattern of P. aeruginosa from pus sample. This study contributes in understanding the emergence of MDR strains which can be considered for judicial usage of antibiotics in hospital settings.

Evaluation of used eye drop containers for microbial contamination in outpatient department of tertiary care teaching hospital

Background: Contaminated eyedrops are considered as serious risk factor for many iatrogenic ocular infections. Apart from the risk of infection, microbial contamination may alter the pH of the solution thereby reducing the efficacy of drugs. Presently many preservatives are added to these eye drops preparations to extend the duration of use. Hence authors aimed this study to find the contamination rates in such eye drop preparations.Methods: This was a prospective observational research conducted at Ophthalmology OPD, of tertiary care teaching hospital for the period of 2 months. Total fifty five used eyedrops were collected.Results: Authors found that 25.45% of the collected eye drops were contaminated with various organisms, viz. E. coli (10.90%), Staphylococcus aureus (9.09%), Pseudomonas aerugenosa (1.81%), Bacillus subtilis (1.81%) and Candida albicans (1.81%). Among various eyedrops, mydriatic (60%) eyedrops had the highest rate of contamination. We also found that, different preservatives in the eye drops were presents with different level of microbial contamination.Conclusions: The present study showed that there is a definite co-occurrence between eyedrop contamination and ocular infections irrespective of preservatives. This research raises a concern about questionable efficacy of preservatives.