Paracetamol induced erythema multiforme major: a rare case report

Paracetamol is the most quotidian drug used for fever and pain. Adverse drug reaction to paracetamol in India are rare, at times they can lead to lethal situations like erythema multiforme. The most common drug induced erythema multiforme are due to drugs like barbiturate, NSAIDs, penicillin, sulfonamide, nitrofurantoin, phenothiazines and anticonvulsants. There are very few detailed case reports of erythema multiforme due to use of paracetamol. We report a case of erythema multiforme which occurred due to use of paracetamol. The clinical feature and management of patient are described in brief

Disparity in cost of oral hypoglycemic agents available in Indian market

Background: Diabetes is one of the most common non-communicable disease worldwide, of which India has been crowned with the title of “diabetes capital of the world”. On an average a person spends 20% of his or her income for the treatment of diabetes per year. So, it’s become very important to conduct a complete cost disparity study among oral hypoglycemic agent available in the market. Information generated from the current analysis, will be helpful to doctors in choosing the right drug for their patient and for the health sector in successfully utilizing the available resources.Methods: The study was conducted in the department of pharmacology AIIMS, Patna 2019. Price of the drugs per tablet/capsule/vial were reviewed from “Current Index of Medical Specialties” January-April 2019 and “Drug Today” October-December, 2018 for analysis of different formulations of oral hypoglycemic agents.Results: The cost of total 16 drugs belonging to 6 different classes, available in 38 different formulations were analyzed. Total 44 different pharmaceutical companies were involved in the manufacture of oral hypoglycemic agents. Overall glibenclamide (5 mg) and bromocriptine (2.5 mg) showed maximum % price variation of 422.79 and 586.27 respectively. Dapagliflozin and canagliflozin both belonging to sodium glucose cotransporter-2 inhibitors shows minimum price variation of 9.86 and 0.9 respectively.Conclusions: The current study shows that there is a huge price variation among oral hypoglycemic agents manufactured by different companies and government needs to take essential steps to bring about the uniformity in the price

Intelligent Green Communication Network for Internet of Things

The text covers the advanced and innovative concept of green communication networks using the Internet of Things in different fields including cloud technology, agriculture, the automobile sector, and robotics. It will also help readers in learning the efficient use of sensors and devices in the Internet of Things networks. The text covers 5G communication and its application for intelligent and green network-enabled Internet of Things. This book • Discusses intelligent and green networking-enabled Internet of Things • Covers architectures and models for intelligent and green communication networks-enabled Internet of Things • Discusses designing Internet of Things devices that help in reducing the emissions of CO2 in the environment and energy consumption • Highlights green computing approach and green communication network designs and implementations for Internet of Things ecosystem • Includes studies on energy-aware systems, technologies, and green communication This book comprehensively discusses recent advances and applications in the area of green Internet of Things communication in a single volume. It will serve as an ideal reference text for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology

A questionnaire based comparative study on dry lab versus wet lab among second year medical undergraduates in a tertiary care hospital of Bihar

Background: Objective of the study was to identify whether there is any benefit of integrating dry lab/computer assisted lab (CAL) tool with conventional teaching/wet lab in experimental part of pharmacology.Methods: A questionnaire based study was conducted among 158 second year medical undergraduates in the department of pharmacology. The questionnaire was distributed among students with proper prior instructions in practical class. Students willing to participate in the study were included.Results: Total 94.9% were in the favour of replacing conventional teaching with CAL lab learning, 74.7% felt conventional lab to be more complex, 92.4% has the opinion of CAL lab result has less error along with that majority student felt it to be less time consuming, need lesser assistance and enhance learning. 67% student also felt real experimentation can’t be learned by CAL tool and 83.5% have their thought that CAL lab can never help them in exercising real experiment.Conclusions: Although there is no substitution of conventional teaching methods, in this new era of information and technology CAL lab can be the saviour to students in making better understanding and enhancing the performance without help of experimental animals

Energy Audit-A Case Study

Abstract -Energy audit is a process of checking the way energy is used and identify areas where wastage can be minimize if not totally eradicate. Energy audit consists of several tasks which can be carried out depending on the type of audit and the function of audited facility. It started with review the historical data of energy consumption which can be compiled from the electricity bills. These data is important in order to understand the patterns of energy used and their trend. After obtaining the information on energyconsumption, the next step is to set up an energy audit program. This program shou ld start with site survey in order to obtain information on present energy used.The energy utilization such as running hours of air-conditioning, lighting levels, locations of unnecessary air-conditioning and lighting due to unoccupied areas, temperature and humidity, chillers/pump scheduling and setting, efficiencies of equipment's and machine and the areas of high energy consumption and the possibility to reduce consumption should be record for further analysis.The energy audit discussed in this paper will only focused in the RGPV library building and university of teaching department. It is carried out in aim of analysing and identifying possible energy saving measures in the library, which can later be implem ented for energy efficiency program in RGPV

Towards Wall-Modeled LES with Lattice Boltzmann Method for Aeroacoustics: Application and Understanding

The aim of this work is direct noise computation (DNC) of high-lift wing using Wall-modeled LES (WMLES) with Lattice Boltzmann Method (LBM). There are two aspects of this work: application, where the commercial LB solver ProLB is used as a DNC tool to compute highlift noise, and understanding, where an effort is made to gather know-how about the intricate details/nuances involved with wall-modeling in LBM by implementing it. For the present study, the Category 6 LEISA2 F16 high-lift configuration from the Benchmark for Airframe Noise Computations (BANC) workshop has been selected as the high-lift airfoil. The three-element unswept high-lift wing with deployed slat and flap is resolved on a mesh with different spanwise resolutions ranging from 5% to 20% clean chord length. Periodic boundary condition is used along the spanwise direction. The results of WMLES-LBM simulations were validated for relative accuracy against the extensive experimental BANC database. Results of both aerodynamic and aeroacoustic comparison with the experiments is discussed in detail. For the aspect of understanding, a quasi-analytical wall function for flat walls has been introduced into the academic LB research code Musubi. Results of the simulation were compared with the published DNS results

Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments

Edge computing emerges as a pivotal model in the era of next-generation consumer electronics and the emerging challenges of multimodal data-driven decision-making. Specifically, edge computing offers an open computing architecture for the vast and diverse consumer multimodal data generated by mobile computing and Internet of Things (IoT) technologies. While edge computing is instrumental in optimizing latency and bandwidth control in processing consumer multimodal data, the viability of employing edge resources is complicated by high service costs and the complexities of managing multimodal data diversity. This study introduces an innovative optimization method for distributing multimodal data on edge storage, considering both the I/O (input/output) speed and the overall distribution cost. The core part of our approach is the deployment of intelligent algorithms that ensure equitable data distribution across storage servers, thus eliminating unused space and reducing extra costs. Given the complexity of this NP-hard (non-deterministic polynomial-time) challenge, our study reveals a unique model incorporating an edge-broker component in combination with novel algorithms. The proposed algorithms aim to harmonize data distribution and reduce resource allocation expenses in a multimodal edge environment. Our proposed approach achieves excellent results, highlighting the efficacy of the proposed algorithms in several parameters such as makespan, cost, multimodal data security, and total processing time. Empirical tests reveal that the BCA (Best Clustering Algorithm) performs best, achieving a minimum load balancing rate of 92.2%, an average variance of 0.04, and an average run time of 0.56 seconds