Drugs used in wheeze associated respiratory infection among children in tertiary care teaching hospital

Background: This study was done to study the drugs used in wheeze associated lower respiratory infected paediatric patients in tertiary care teaching hospital.Methods: Sample size was calculated as 78 and patients were selected based on the inclusion and exclusion criteria. The study was a prospective observational study and conducted in Department of Pediatrics, Rajah Muthiah Medical College and Hospital (RMMCH), Annamalai University.Results: Our study shows that male children (63%) are affected with more than female children (37%). The most frequently prescribed drugs are antibiotics (96%), antipyretics (63%), expectorants and antitussives (54%) followed by beta adrenergic agonist (46%), beta adrenergic agonist with anticholinergic combination (14%) corticosteroids (18%). Our study also shows wheeze associated lower respiratory infection (WALRI) in children were significantly associated with bacterial infections (72%).Conclusions: Our study concluded that antibiotics and antipyretics are the most commonly prescribed drugs for WALRI followed by expectorants and antitussives, beta adrenergic agonist, corticosteroids, beta adrenergic agonist with anticholinergic combination. Most of the treatment strategies are adopted from Standard Treatment Guidelines (STG) and World Health Organisation (WHO). The average number of prescribed drugs per encounter was more than that of WHO standards. The percentage of encounters in which an antibiotics and injections was higher than the ideal WHO standards it leads to anti-microbial resistance and costly forms of drug therapy

MULTI-GIGABIT PATTERN FOR DATA IN NETWORK SECURITY

In the current scenario network security is emerging the world. Matching large sets of patterns against an incoming stream of data is a fundamental task in several fields such as network security or computational biology. High-speed network intrusion detection systems (IDS) rely on efficient pattern matching techniques to analyze the packet payload and make decisions on the significance of the packet body. However, matching the streaming payload bytes against thousands of patterns at multi-gigabit rates is computationally intensive. Various techniques have been proposed in past but the performance of the system is reducing because of multi-gigabit rates.Pattern matching is a significant issue in intrusion detection systems, but by no means the only one. Handling multi-content rules, reordering, and reassembling incoming packets are also significant for system performance. We present two pattern matching techniques to compare incoming packets against intrusion detection search patterns. The first approach, decoded partial CAM (DpCAM), pre-decodes incoming characters, aligns the decoded data, and performs logical AND on them to produce the match signal for each pattern. The second approach, perfect hashing memory (PHmem), uses perfect hashing to determine a unique memory location that contains the search pattern and a comparison between incoming data and memory output to determine the match. The suggested methods have implemented in vhdl coding and we use Xilinx for synthesis

Laparoscopic ureterolithotomy: a rare case report

In this era of endourology most of the ureteric calculi are managed by endourological technique. However, lap ureterolithotomy has a role in the management of large ureteric calculus with minimal complications, morbidity, early recovery and short hospital stay. Laparoscopic ureterolithotomy bridges the gap between open and endourologic procedures as it is minimally invasive and overcomes a few of the disadvantages of open ureterolithotomy. We report a case of our experience of impacted upper ureteric calculus done by laparoscopy. Here we present a case of 45 -year-old male with right loin pain with CT suggestive of impacted right upper ureteric calculus measuring 2.2×1×2.2 with moderate HDUN and good renal function. Patient underwent right transperitoneal laparoscopic ureterolithotomy and, the ureteric calculi was removed successfully. Hence, we can conclude that, laparoscopic uretrolithotomy is safe for large impacted ureteric calculus with early recovery and minimal morbidity to the patient with complete clearance

Serum malondialdehyde in different stages of chronic renal disorder

Background: Chronic kidney disease (CKD) is a widespread public health problem, which may have several adverse consequences such as renal failure, cardiovascular disease, and premature death. Kidney-related pathologies have increasing prevalence rates, produce a considerable financial burden, and are characterized by elevated levels of oxidative stress (OS). Several markers emerged as well-suited indicators of OS such as malondialdehyde (MDA) and lipid hydroperoxides. The reduced activities of antioxidant enzymes status and increased production of MDA in the CKD patients confirm the presence of OS. The alteration in antioxidant status and MDA in CKD patients supports the role of OS in CKD patient. Aims and Objectives: The aim of the study was to compare serum MDA in different stages of CKD with that of control. It is well known that inflammation has an important role in CKD and MDA is an oxidant biomarker. Materials and Methods: This was a cross-sectional study having 400 participants with 300 known cases of CKD and 100 healthy controls. Serum MDA levels were measured by thiobarbituric acid assay. Results: There was a significant difference between the groups regarding the MDA values (P<0.001) with that of control. The mean MDA value in Stage III (5.64±1.93 Umol/L), Stage IV (6.14±1.584 Umol/L), and Stage V (10.761±3.347 U moL/L) of CKD patients were high in comparison to healthy control (1.88±0.181 U mol/L). Conclusion: We concluded that MDA is a useful biomarker in CKD patients. The correlations of serum MDA among different stages of CKD patients were significant. Larger studies focused on CKD severity and antioxidant/oxidant biomarkers are required

Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter

To enhance speech intelligibility for people with hearing loss, hearing aids will amplify speech using gains derived from evidence-based prescriptive methods, in addition to other advanced signal processing mechanisms. While the evidence supports the use of hearing aid signal processing for speech intelligibility, these signal processing adjustments can also be detrimental to hearing aid sound quality, with poor hearing aid sound quality cited as a barrier to device adoption. In general, an uncontrolled environment may contain degradation components like background noise, speech from other speakers etc. along with required speech components. In this paper, we implement adaptive filtering design for acoustic feedback noise cancellation in hearing aids. The adaptive filter architecture has been designed using normalized least mean square algorithm. By using adaptive filters both filter input coefficients are changeable during run-time and reduce noise in hearing aids. The proposed design is implemented in matlab and the simulations shows that the proposed architecture produces good quality of speech, accuracy, maintain stable steady state. The proposed design is validated with parameters like Noise Distortion, Perceptual Evaluation of Speech Quality, Signal to Noise Ratio, and Speech Distortion. The feedback canceller is implemented in MATLAB 9.4 simulink version release name of R2018a is used for validation with Echo Return Loss Enhancement (ERLE). The ERLE of the NMLS is reduced when the filter order is increases. Around 10% of the power spectrum density (PSD) is less when compared with existing designs

Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter

To enhance speech intelligibility for people with hearing loss, hearing aids will amplify speech using gains derived from evidence-based prescriptive methods, in addition to other advanced signal processing mechanisms. While the evidence supports the use of hearing aid signal processing for speech intelligibility, these signal processing adjustments can also be detrimental to hearing aid sound quality, with poor hearing aid sound quality cited as a barrier to device adoption. In general, an uncontrolled environment may contain degradation components like background noise, speech from other speakers etc. along with required speech components. In this paper, we implement adaptive filtering design for acoustic feedback noise cancellation in hearing aids. The adaptive filter architecture has been designed using normalized least mean square algorithm. By using adaptive filters both filter input coefficients are changeable during run-time and reduce noise in hearing aids. The proposed design is implemented in matlab and the simulations shows that the proposed architecture produces good quality of speech, accuracy, maintain stable steady state. The proposed design is validated with parameters like Noise Distortion, Perceptual Evaluation of Speech Quality, Signal to Noise Ratio, and Speech Distortion. The feedback canceller is implemented in MATLAB 9.4 simulink version release name of R2018a is used for validation with Echo Return Loss Enhancement (ERLE). The ERLE of the NMLS is reduced when the filter order is increases. Around 10% of the power spectrum density (PSD) is less when compared with existing designs

Assessment of total phenolic and flavonoid contents and potential biological efficacy of few Pinus species growing in Northern Himalayas

Environmental interventions and ecological adaptations harbor millions of valued substances and metabolites in plants which can be employed and commercialized for human benefits. Present study encompasses the untapped potential of pine needles of Indo-Himalayan region for the production of different metabolites and their pharmacological significance in terms of antioxidant and antimicrobial activity. Total phenolic and flavonoid content from the needles of ten pine species was quantified using three different solvent systems. Results revealed that out of 10 different selected Pinus species, Pinus taeda L. showed the highest concentration of total phenolics, Soluble-F phenolics and flavonoids content (approx. 147.02 mg/g, 141.08 mg/g and 21.91 mg/g, respectively) as compared to other species. On the other hand, Pinus greggii Engelm. ex Parl. showed the highest Bound-W phenolic content (approx. 3.62 mg/g). Among all the selected plant species, the needles of Pinus echinata Mill. exhibited the highest and Pinus thunbergii Parl. had the lowest ratio of total flavonoids to total phenolics. Most of these compounds were found to have effective antioxidant activities as well as antimicrobial activity, as estimated by oxygen radical absorbance capacity (ORAC) and disk diffusion test, respectively

Conceptual Design of Fuel Dumping System in Aircraft

Airlines release the unburned jet fuel into the atmosphere to reduce the weight of aircraft before landing. Sometimes, aircraft reach a weight more than takeoff weight while departing from the airport. Therefore, the pilot follows the ATC comment to dump fuel into the atmosphere to reduce the aircraft\u27s weight to avoid accidents. Due to fuel dumping, an airline faces fuel consumption, loss, and several diseases affect environmental pollutants, and living things. The total fuel consumption of commercial airlines worldwide in 2021 is 57 billion gallons. If jet fuel routinely hit the ground, it would pollute water and land and damage crops and biodiversity. With this, we have worked on the project to rescue fuel dumping into the atmosphere and save living things from various diseases