Assess the Effectiveness of Self-Instructional Module on Knowledge regarding Adverse Effects of Antipsychotic Drugs among Care Takers of Mentally Ill Patients

This study was conducted to assess the knowledge level of all the care takers of mentally ill patients. The self instructional module significantly brought out their improvement in the knowledge regarding adverse effects of antipsychotic drugs An adverse effect may be caused by administration of an antipsychotic medication or by exposure to a chemical and be indicated by an untoward result such as extrapyramidal symptom, etc. The data was collected with structured interview schedule and then analysis of data done and the findings showed that there was significant difference between pre-test and post test knowledge of care takers

Designing Combo Recharge Plans for Telecom Subscribers Using Itemset Mining Technique

Now a days Machine Learning has become an integral part of human research. People are tending to select more automatic system rather than going with the manual handling. Data mining has the huge effect on business analysis as all business relies on their behaviour of customers. Mining the behaviour of customers can help the very existence of the company. This paper has proposed the way to satisfy customers in telecommunication market by knowing the customer’s recharge pattern. It can enhance their will to use the same service provider. By mining the recharge pattern of individual customer, this system will help telecom service providers to prepare combo plans, which will indeed be less than the individual recharges. For mining such kind of data, we are using FP Growth algorithm, it allows frequent item set discovery without candidate item set generation. FP Growth is two step approach, first it builds a compact data structure called the FP-tree and then Extracts frequent item sets directly from the FP-tree

A greener and sustainable approach for converting polyurethane foam rejects into superior polyurethane coatings

Recycling is a crucial area of research in green polymer chemistry. Various developments in recycling are driven by Environmental concerns, interest in sustainability and desire to decrease the dependence on non-renewable petroleum based materials. Polyurethane foams [PUF] are widely used due to their light weight and superior heat insulation as well as good mechanical properties. As per survey carried Polyurethane Foam Association, 12 metric tonnes of polyurethane foam are discharged during manufacturing and/or processing and hence recycling of PUF is necessary for better economics and ecological reasons. In present study, rejects of PUF is subjected to reaction with a diethylene amine in presence of sodium hydroxide [NaOH

Effectiveness of pegylated erythropoietin in renal anaemia patients on dialysis-a multicentre, cross-sectional, observational outcome study

Background: Low dose of pegylated erythropoietin (PegEPO) is better than conventional erythropoietin stimulating agents (ESAs) in improving hyporesponsiveness and maintaining stable haemoglobin (Hb) levels in renal anaemic patients undergoing hemodialysis. This real-world study aimed to assess effectiveness and safety of low-dose PegEPO (30 µg/0.3 mL), administered at different time-points in renal anaemia patients on dialysis. Methods: HEMEPEG (HEMoglobin outcomE with PegEPO) was a multicentre, retrospective, cross-sectional, observational study of renal anaemia patients receiving PegEPO up to 3 months. The study assessed an increase in Hb, patients achieving Hb 10-12 g/dl, and Hb increase by ≥1 and ≥2 g/dl. Results: Data from 223 out of 273 patients from 19 Indian centers were analyzed. PegEPO was administered weekly to 132 patients (59.19%), with 38.64% being diabetic and 77.27% previously treated with ESAs. Ten day dosing was given to 91 patients (40.81%), including 46.15% diabetic patients and 72.53% previously treated with ESAs. A Significant (p<0.0001) increase in mean Hb levels from baseline to day 30, 60 and 90 were observed for both studied groups, with a target Hb of 10-12 g/dl achieved in 51.08% and 52.85% of patients in the respective groups after 3 months. An increase in Hb by ≥1 and ≥2 g/dl were observed in weekly (68.67% and 45.78%) and 10-day group (77.14% and 50.00%) patients, respectively. Conclusions: PegEPO (30 µg/0.3 mL) was effective treatment of renal anaemia and diabetic chronic kidney disease (CKD) patients on dialysis when administered weekly or every 10 days over a 3-month treatment period

Pattern of medical waste management: existing scenario in Dhaka City, Bangladesh

<p>Abstract</p> <p>Background</p> <p>Medical waste is infectious and hazardous. It poses serious threats to environmental health and requires specific treatment and management prior to its final disposal. The problem is growing with an ever-increasing number of hospitals, clinics, and diagnostic laboratories in Dhaka City, Bangladesh. However, research on this critical issue has been very limited, and there is a serious dearth of information for planning. This paper seeks to document the handling practice of waste (e.g. collection, storage, transportation and disposal) along with the types and amount of wastes generated by Health Care Establishments (HCE). A total of 60 out of the existing 68 HCE in the study areas provided us with relevant information.</p> <p>Methods</p> <p>The methodology for this paper includes empirical field observation and field-level data collection through inventory, questionnaire survey and formal and informal interviews. A structured questionnaire was designed to collect information addressing the generation of different medical wastes according to amount and sources from different HCE. A number of in-depth interviews were arranged to enhance our understanding of previous and existing management practice of medical wastes. A number of specific questions were asked of nurses, hospital managers, doctors, and cleaners to elicit their knowledge. The collected data with the questionnaire survey were analysed, mainly with simple descriptive statistics; while the qualitative mode of analysis is mainly in narrative form.</p> <p>Results</p> <p>The paper shows that the surveyed HCE generate a total of 5,562 kg/day of wastes, of which about 77.4 per cent are non-hazardous and about 22.6 per cent are hazardous. The average waste generation rate for the surveyed HCE is 1.9 kg/bed/day or 0.5 kg/patient/day. The study reveals that there is no proper, systematic management of medical waste except in a few private HCE that segregate their infectious wastes. Some cleaners were found to salvage used sharps, saline bags, blood bags and test tubes for resale or reuse.</p> <p>Conclusion</p> <p>The paper reveals that lack of awareness, appropriate policy and laws, and willingness are responsible for the improper management of medical waste in Dhaka City. The paper also shows that a newly designed medical waste management system currently serves a limited number of HCE. New facilities should be established for the complete management of medical waste in Dhaka City.</p

Enhancement of Underwater Video through Adaptive Fuzzy Weight Evaluation

Underwater video enhancement plays a critical role in improving the visibility and quality of underwater imagery, which is essential for various applications such as marine biology, underwater archaeology, and offshore inspection. In this article, we present a novel approach for enhancing underwater videos. Our method employs fuzzy logic and a unique fuzzy channel weight coefficient to effectively address challenges in underwater imaging. The method aims to improve the perceptual quality of underwater videos by enhancing contrast, reducing noise, and increasing overall image clarity. The key component in our approach is the integration of fuzzy logic based channel weight coefficient which is adaptively selected to enhance the video frames. The fuzzy channel weight coefficient-based method assigns weights to different color channels in a manner that optimally addresses the underwater imaging conditions. To evaluate the performance of our fuzzy enhancement algorithm, we conducted experiments on the Fish4Knowledge database, a widely used benchmark dataset for underwater video analysis. We quantitatively assessed the improvement in video quality using various metrics, including Peak Signal-to-Noise Ratio (PSNR), Root Mean Square Error (RMSE), Structural Similarity Index (SSIM), and entropy. Our results demonstrate that the proposed fuzzy logic-based enhancement method outperforms existing techniques in terms of video quality enhancement and underwater image correction in terms of PSNR, RMSE and SSIM

EEG Based Brain Computer Interfacing for Hand Assistant System Using Wavelet Transform

Robots have been of great use to mankind for several years. In situation where human body fails to operate as per the need robot’s functions in those situations quite efficiently. Electroencephalogram (EEG) controlled hand assistant makes use of EEG signals and Brain Computer Interface (BCI). EEG signals are obtained from the brain using Emotiv Insight headset, after which processing and features extraction of the signals is performed and then conditioning of signals is done as it is a low amplitude signal with additive noise. Signals processing is done on the analog signal by using wavelet transform. Wavelet transform will help to extract information from the analog signal. Then the signals are assigned with the signatures to perform the dedicated task Filtered signal is given to analog pins of Arduino Uno. With the help of inbuilt ADC available on Arduino Uno, Digital Data is also made available on the digital pins. Then through MATLAB access Arduino board. In near future if it gets similar kind of input it will understand exactly what operation to perform. Further the Robotic hand assistant can be operated as we want

Robust control design for nonlinear magnetic levitation system using quantitative feedback theory (QFT)

There is a growing demand for magnetic suspension systems, especially in the field of high accuracy multi-dimensional positioning. Magnetic Levitation (Maglev) systems offer many advantages such as frictionless, low noise, the ability to operate in high vacuum environments and so on. Reliable and robust controller synthesis of this system is of great practical interest. Robustness is a key issue in designing a control system for a Magnetic Levitation as the models are never 100 percent accurate and the uncertainties in the model must be accounted. In the present work, a new approach using Quantitative Feedback Theory (QFT) is presented for design of a robust two degree of freedom controller for Magnetic Levitation. Experimental tests are conducted to check the reliability and robustness of the designed control system by subjecting it to disturbances. The experimental test results show the control system design to be reliable and robust.© IEE