Bio-convective maxwell ferrofluid flow over a flexible spinning surface.

The current research findings will have potential applications in the development of drug-targeted and self-sterilizing technologies. This research investigates the bio-convective flow of Maxwell ferrofluid over a flexible spinning plate in the presence of a stationary magnetic field in this paper. This theoretical model is based on the CattaneoChristov theories, the Buongiorno microorganism model, and the Shliomis model, and it is solved using the finite element technique. Using the Galerkin weighted residual approach in COMSOL Multiphysics, the non-dimensional equations of this Maxwell ferrofluid model are numerically solved. The concentration and motility of the organism decrease with an increase in the ferromagnetic interaction number, concentration relaxation time parameter, Lewis number, and stretching parameter. In addition to increasing local heat transfer, local mass transfer, and local density of microorganisms, the ferromagnetic interaction number lowers the stress on the surface of the disk.

Lumbosacral Transitional Vertebrae amongst the Individuals Undergoing Magnetic Resonance Imaging of the Whole Spine in a Tertiary Care Hospital: A Descriptive Cross-sectional Study.

INTRODUCTION: Lumbosacral transitional vertebrae is a common congenital anomalous condition of the spine. Recent advances in magnetic resonance imaging have made it possible to acquire images of the whole spine. This study aimed to find out the prevalence of lumbosacral transitional vertebrae amongst the individuals undergoing magnetic resonance imaging of the whole spine in a tertiary care hospital. METHODS: A descriptive cross-sectional study was conducted in 750 patients of all age groups who underwent magnetic resonance imaging of the whole spine in the Department of Radiodiagnosis and Imaging, Kathmandu University School of Medical Sciences from 7th November, 2019 to 6th November, 2020. Convenience sampling technique was used. Ethical approval was taken from the Institutional Review Committee (Reference number 207/19). Data was analysed using Statistical Package for Social Sciences version 22. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage. RESULTS: Lumbosacral transitional vertebra was seen in 98 (13.10%) (95% Confidence Interval= 10.61-15.51) of the total 750 individuals. Out of the 98 patients who had lumbosacral transitional vertebra, 31 (4.10%) had lumbarization of S1 vertebra and 67 (8.94%) had sacralization of L5 vertebra. CONCLUSIONS: Prevalence of lumbosacral transitional vertebrae amongst the individuals undergoing magnetic resonance imaging of the whole spine in our hospital was similar to other study done in similar settings. Lumbosacral transitional vertebrae are a common congenital anomalous condition of the spine that is identified incidentally. Enumeration of vertebrae from the first cervical vertebra using whole spine magnetic resonance imaging can confirm the presence of the lumbosacral transitional vertebrae with much accuracy.

The concept of high dielectric material for the treatment of liver cancer through microwave heating.

Hyperthermia is potentially an effective method for the treatment of cancer tumours. In the present manuscript, improvement in the treatment of liver cancer through electromagnetic heating is studied using high dielectric material through mathematical modelling in COMSOL Multiphysics. It is observed from the result that without increasing the power input, intensity of the temperature can be increased by changing the dielectric constant. Treatment time in ablation of the liver tumour can also be reduced. Results are obtained for total power dissipation density, heat flux, temperature distribution and fraction of necrosis tissue.

A Bayesian tool for epilepsy diagnosis in the resource-poor world: development and early validation.

PURPOSE: The epilepsy treatment gap in resource-poor countries is so large that existing numbers of doctors are unlikely to be able to close it. Other health workers are likely to be needed but they will need help. The diagnosis of an attack as epileptic or not is an essential step in the management of epilepsy. It should be possible to devise a tool to give the probability of episodes being epileptic based on a Bayesian analysis of the results of history taking. METHOD: We asked about the nature of episodes in patients referred to epilepsy camps in Nepal. Answers were then compared to the final clinical diagnosis of epilepsy and the likelihood ratio (LR) of the episode being epileptic obtained for each answer. The most informative LRs, tested sequentially, formed the basis for a tool which was validated in a different Nepalese population. RESULTS: Data was obtained from 67 patients. The pre-test probability of having epilepsy was 0.76. Answers to 11 questions with the most informative LRs were then combined into a tool. This was tested on 14 different patients. Post-test probability scores in those with epilepsy ranged from 0.88 to 1 and for those with non-epilepsy from 0.07 to 0.42. CONCLUSION: It is possible to devise a tool based on simple clinical information using Bayesian principles. Initial validation suggests that this has the potential to enable health workers to diagnose episodes as epileptic or not. This now needs to be tested in different populations. The tool is easily converted to a mobile phone app.