Adaptive Wavelet Fusion based Color Image Enhancement by Scaling the DC Coefficients

Abstract-Usually the images taken by digital cameras are different from the original true color image in terms of color and brightness of the scene captured. Various factors like non uniform illumination, color of ambient light, low or high contrast, and over exposure or under exposure of some specific regions may leads to poor contrast which is annoying to human visual system. Thus, enhancement methods are required for color images. In this paper An image fusion is used to improve the performance of DC coefficient scaling method in the compressed DCT domain for enhancing the contrast of colour images. Using the multi resolution wavelet fusion preserves the brightness of the enhanced image. This improves the entropy of standard DCT based DC coefficient scaling method. For comparing the performance along with SNR and the absolute standard deviation difference is also used as parameters. The methods are tested on various true colour images from different environmen

Medication prescribing errors in a public teaching hospital in India: a prospective study.

Background: To prevent medication errors in prescribing, one needs to know their types and relative occurrence. Such errors are a great cause of concern as they have the potential to cause patient harm. The aim of this study was to determine the nature and types of medication prescribing errors in an Indian setting. Methods: The medication errors were analyzed in a prospective observational study conducted in 3 medical wards of a public teaching hospital in India. The medication errors were analyzed by means of Micromedex Drug-Reax database. Results: Out of 312 patients, only 304 were included in the study. Of the 304 cases, 103 (34%) cases had at least one error. The total number of errors found was 157. The drug-drug interactions were the most frequently (68.2%) occurring type of error, which was followed by incorrect dosing interval (12%) and dosing errors (9.5%). The medication classes involved most were antimicrobial agents (29.4%), cardiovascular agents (15.4%), GI agents (8.6%) and CNS agents (8.2%). The moderate errors contributed maximum (61.8%) to the total errors when compared to the major (25.5%) and minor (12.7%) errors. The results showed that the number of errors increases with age and number of medicines prescribed. Conclusion: The results point to the establishment of medication error reporting at each hospital and to share the data with other hospitals. The role of clinical pharmacist in this situation appears to be a strong intervention; and the clinical pharmacist, initially, could confine to identification of the medication error

Anti-Counterfeit Technologies: A Pharmaceutical Industry Perspective

Growth of international free trade and inadequate drug regulation have led to the expansion of trade in counterfeit drugs worldwide. Technological protection is seen to be the best way to avoid this problem. Different technologies came into existence like overt, covert, and track and trace technologies. This review emphasises ideal technological characteristics, existing anti-counterfeit technologies, and their adoption in different countries. Developed countries like the USA have implemented RFID while the European trend is towards 2D barcodes. The Indian government is getting sensitised about the extent of the problem and has formulated rules mandating barcodes. Even the pharmaceutical companies have been employing these technologies in order to detain illegitimate drugs in their supply chain

Drug-drug interactions and their predictors: Results from Indian elderly inpatients

Background: In view of the multiple co-morbidities, the elderly patients receiving drugs are prone to suffer with drug interactions since they receive a greater number of drugs.Objective: The study was undertaken to determine the prevalence of drug interactions, as well as their predictors.Method: The prescriptions of a total of 1510 inpatients were collected prospectively for 1.5 years from inpatients wards of public tertiary care teaching hospital. All the prescriptions were checked for drug interactions using the Micromedex® Drug-Reax database-2010 and Stockley’s Drug Interactions. Regression analyses sought to determine predictors for the drug interaction.Results: The patients, with the average age of 67.2 ±0.2 years, were prescribed an average of 9.15 ±0.03 medications. It was found that out of 1510 prescriptions of inpatients, 126 (8.3%) prescriptions had one or more than one drug interaction. All the identified interactions were severe in nature.The top most interacting drugs were acetylsalicylic acid and anticoagulant (n=59). The second top most interacting drug combination was clopidogrel and proton pump inhibitors (n=51). The most commonly involved drugs in interactions were C (cardiovascular system) and A (alimentary tract and metabolism). Using multivariate binary logistic regression, multiple drugs (Odds Ratio=4.5; 95% Confidence Interval: - 2.38 -9.47) and multiple diagnoses (Odds Ratio=2.6; 95%CI: -1.40 -5.57) were found to be significant predictors for drug interaction.Conclusion: The results of this study substantiate the occurrence of severe drug interactions among Indian elderly inpatients. In order to provide safer pharmaceutical care, the active involvement of clinical pharmacists is a potential option

Prescription Pattern of Antihypertensive Agents in T2DM Patients Visiting Tertiary Care Centre in North India

Background. Hypertension management is of a paramount importance in diabetic patients for cardiovascular risk reduction. Aim. To evaluate prescribing pattern of antihypertensive in T2DM (type 2 diabetes) patients and compare with existing recent guidelines. Methods. A cross-sectional study involving evaluation of all T2DM patients referred to endocrinology unit at tertiary care centre for hypertension, comorbid complications, and recording prescription. Utilization of 5 different antihypertensive drug classes was compared for all patients receiving 1, 2, 3, 4, or more drugs. Logistical regression was used to assess likelihood of prescription of drugs and/or therapy for specific conditions mentioned in the guidelines. Results. Out of 1358, T2DM enrolled patients 1186 (87%) had hypertension (males 52%, females 48%). The median duration (IQ) of hypertension diabetics was 4 (1–10) years. A total of 25% patients had controlled BP and 75% with uncontrolled blood pressure (13% isolated systolic hypertension, 6% isolated diastolic hypertension, and 55% both elevated). Overall, ACE inhibitors (ACEIs) were prescribed the highest (59%) followed by angiotensin receptor blockers (ARBs) (52%), calcium channel blockers (CCBs) (29%), diuretics (27%), and beta-blockers (14%). Overall, 55% of T2DM patients were on polytherapy, 41% on monotherapy, and 4% had no antihypertensive treatment. Polytherapy was more predominant with age, duration of diabetes, duration of hypertension, and comorbid complications. Conclusion. Although prescribing pattern of antihypertensive showed adherence to existing evidence-based guidelines, higher proportion of uncontrolled hypertensive patients was found

Baseline demographic characteristics of study participants according to nutritional status.

Baseline demographic characteristics of study participants according to nutritional status.</p

Baseline biochemical characteristics of study participants according to nutritional status.

Baseline biochemical characteristics of study participants according to nutritional status.</p