MHD Flow past a Semi-Infinite Vertical Plate with Mass Transfer

An analysis is performed to study the MHD flow of an electrically conducting, incompressible, viscous fluid past a semi-infinite vertical plate with mass transfer, under the action of transversely applied magnetic field is carried out. The heat due to viscous dissipation and the induced magnetic field are assumed to be negligible. The dimensionless governing equations are unsteady, two-dimensional, coupled and non-linear partial differential equations. A most accurate, unconditionally stable and fast converging implicit finite difference scheme is used to solve the non-dimensional governing equations. The effects of external cooling (Gr > 0) of the plate by the free convection are studied

Comparison of measured and Monte Carlo-calculated electron depth dose distributions in aluminium

Depth dose profiles in aluminium have been measured using the cellulose triacetate dosimeter against different electron energies (4, 4.5 and 5 MeV) at a recently upgraded 15 kW industrial electron beam accelerator facility. The study also includes comparison of these profiles against Monte Carlo calculations. The measured and simulated depth dose profiles are similar in shape. For all electron energies, at initial depths, the measured doses are higher than the simulated ones. The simulated and measured normalized surface dose values are 0.58 and 0.66, respectively, independent of electron energy. The difference in the surface dose between Monte Carlo and experiment could be attributed to possible presence of low energy electrons in the measurements whereas the Monte Carlo calculations are based on monoenergetic electrons. Between the region of dose maximum and the tail portion of the depth dose curve, the measured dose is smaller than the simulated values (about 17% to 40% at 5 MeV). Using the depth dose profiles, electron beam parameters such as depth at which maximum dose occurs, dmax, practical range, Rp and half-value depth, R50 have been determined. Using the measured parameters Rp and R50, the incident kinetic energy of the electron beam has been determined. The estimated electron energies while using Rp are 4.02, 4.41 and 4.75 MeV. When using R50, the corresponding values are 3.83, 4.21 and 4.64 MeV. The measured RP/R50 ratios are slightly larger than the Monte Carlo-calculated values, which suggest that the electron beam may not be monoenergetic

Challenges and Barriers of Wireless Charging Technologies for Electric Vehicles

Electric vehicles could be a significant aid in lowering greenhouse gas emissions. Even though extensive study has been done on the features and traits of electric vehicles and the nature of their charging infrastructure, network modeling for electric vehicle manufacturing has been limited and unchanging. The necessity of wireless electric vehicle charging, based on magnetic resonance coupling, drove the primary aims for this review work. Herein, we examined the basic theoretical framework for wireless power transmission systems for EV charging and performed a software-in-the-loop analysis, in addition to carrying out a performance analysis of an EV charging system based on magnetic resonance. This study also covered power pad designs and created workable remedies for the following issues: (i) how power pad positioning affected the function of wireless charging systems and (ii) how to develop strategies to keep power efficiency at its highest level. Moreover, safety features of wireless charging systems, owing to interruption from foreign objects and/or living objects, were analyzed, and solutions were proposed to ensure such systems would operate as safely and optimally as possible

Hemangioma in minor salivary glands: real or illusion

Hemangioma is a common soft tissue lesion in the head and neck region. Hemangioma in the context of minor salivary glands is rarely encountered in surgical pathology practice, and for this reason most pathologist are often unfamiliar with its histomorphological features. We report a rare histological finding of salivary gland structures within a cavernous hemangioma, which may or may not have originated in the minor salivary gland

Incidence of Adverse Drug Reactions in Patients on Cancer Chemotherapy in a Tertiary Care Teaching Hospital

ABSTRACT To assess the incidence of ADRs and their causal relationship to chemotherapeutic agents and to evaluate the severity and preventability of the ADRs. Patients above 18 years of age, on cancer chemotherapy were included. ADRs experienced by patients were identified and categorized using National Cancer Institute Common Terminology Criteria version 3.0 Questionnaire. The causality assessment of suspected ADRs was done using WHO and Naranjo's scales, severity assessment of ADRs using Hartwig and Siegel scale and preventability of ADRs using Schumock and Thornton scale. Results: The study was conducted in 109 patients (46 males, 63 females; mean age 53.75±12.75 years). Majority of the patients had breast cancer. Dry mouth and taste disturbances, were major ADRs found in 82.50% patients, dermatological ADRs alopecia, eczema and acne in 68.80%, hematological ADRs in 52.20%, and the least were the constitutional symptoms and renal ADRs (9.10% each). Causality assessment of ADRs using WHO scale identified 70.50% ADRs as Possible, 25.9% as Probable and only 1 ADR had a "Certain" causal link with the drug. Naranjo scale identified 61.4% ADRs as Probable, 36.6% as Possible and only one ADR had a "Definite" causal link with the drug. Severity assessment showed 65.90% as mild, 34.86% as moderate and none as severe ADRs. Nausea, vomiting, anorexia, fever, decrease in hemoglobin and neutrophil count were definitely preventable, diarrhea and constipation were probably preventable and the rest were not preventable. By implementing the ADR monitoring and reporting system, safe use of medications can be achieved

Why Are Saccharides Dehydrated in the Presence of Electrolytes? Insights from Molecular Modeling and Thermodynamic Measurements

The mechanisms governing the interactions of neutral polar solutes with ions in aqueous solutions are still poorly understood, despite the importance of this phenomenon in many fields (chemistry, physicochemistry, biology, food industries). In order to go further through the understanding of the molecular mechanisms governing the ions’ specific effects, this paper presents a generic method dealing with the characterization and understanding of interactions between saccharides and ions in aqueous systems. For that, an original approach combining a computational technique and experimental measurements (thermodynamic properties) is proposed to explain and rationalize the relationship between the solute hydration and the physical chemistry of the ions in solution (cation/anion, charge, size, and hydration). These relationships make it possible to evaluate the hydration state of a saccharide, a polar neutral molecule, according to the ionic composition, from the knowledge of the ions’ hydration properties. This work proposes new insight into molecular mechanisms governing the polar neutral solute/ion interactions and a new understanding of the hydration phenomenon in electrolytic solutions

Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques

The groundwater is the main source of domestic and agricultural purposes in the arid and semi-arid regions where the surface water availability is limited. To protect and manage the groundwater system effectively, a thorough knowledge and understanding of groundwater quality and application of computational methods to simulate the complex and nonlinear groundwater system are paramount necessary. Generally, three types of models such as physically based model, conceptual models and Blackbox models are applied to study the interconnected processes in the subsurface media. In this study, Artificial Neural Network (ANN) (3 Models with 1, 2 and 3 outputs) was used to simulate and predict the concentration of groundwater quality parameters and Mamdani Fuzzy Inference System (MFIS) was used to simulate the water quality indices. Classification algorithms of NEUROSHELL and MATLAB were used to predict the class of items in a data set. The model was constructed using already-labelled items of similar data sets. The WQI of 29 samples was determined using weighted average method. Based on MFIS, 10 samples were classified as ‘good’, four samples as ‘poor’ and remaining samples as ‘very poor’. The simulation model using the classification algorithm of ANN was used to predict the concentration of groundwater quality parameters and it was observed that three ANN models values and the actual data fit well with correlation coefficient varying from 0.93 to 0.99. When the soft computing techniques can be coupled with geospatial and geostatical method to map the spatial and temporal distribution of water quality parameters