Background:Coronavirus is a novel virus which has disrupted life in the past year. While it involves the lungs in the majority and this has been extensively studied, it involves other organ systems. More number of studies need to be focused on the extrapulmonary manifestations of the disease.Objective:To delineate the clinical manifestations of coronavirus disease 2019 (COVID-19) virus on the central and peripheral nervous systems and to assess the risk factors and the outcome of COVID-19 patients with neurological manifestations.Materials and Methods:All patients who were SARS-CoV-2 RNA polymerase chain reaction (PCR) positive were assessed, and detailed clinical history and laboratory findings were collected. Data was analyzed using percentage, mean, and frequency.Results:Out of 864 patients, 17 (N= 17, 1.96%) had neurological manifestations. Twelve out of 17 had comorbid conditions. Patients had diverse presentations ranging from acute cerebrovascular accident to paraplegia and encephalopathy. Ten (58.8%) patients presented with acute cerebrovascular accidents. Of the patients who developed stroke, five (50%) died.Conclusions:COVID-19 usually presents as a respiratory disease. The neurological manifestations of COVID-19 are not uncommon. One should be aware of a wide spectrum of neurological signs and symptoms of COVID-19 for early diagnosis and treatment for preventing mortality and morbidity.

The present experimental research on Plain turning studies the process parameters that are affecting the machining performance and productivity of Plain Turning. A combined approach is used for the optimization of parameters and performance characteristics based on Taguchi method. The design of experiments is based on Taguchi's L9 orthogonal array. The response table and response graph for each level of machining parameters are obtained from Taguchi method to select the optimal levels of machining parameters. In the present work, the machining parameters are Speed, Feed Rate and Depth of Cut, which are optimized for maximum material removal rate (MRR) and minimum Surface Roughness during turning of EN-24. Analysis of Variance is also used to find out variable affecting the various responses mentioned above. The cutting speed and depth of cut were found to be the major dominating factors for MRR and surface roughness. Feed was found to be least influencing parameter for both MRR and Surface Roughness.

Background: Uric acid (UA) being a potent antioxidant may reduce the oxidative stress and progression of Parkinson’s disease. However, the role of UA is not yet established in people with Idiopathic Parkinson’s disease (IPD) and Vascular Parkinsonism (VP). Objectives: We aimed i) to compare the serum UA levels in IPD, VP, and healthy adults and ii) to find a relation between UA levels with disease severity, disease stage, and cognitive function in people with IPD and VP. Methods: A cross-sectional study was conducted among people with IPD (n=70), VP (n=70), and healthy adults (n=70). Demographics details, body mass index, duration of illness, levodopa usage, comorbidities, MDS-UPDRS scores, modified H&Y scale, MMSE, and serum UA levels were collected from participants. Pearson’s correlation coefficient was used to find the correlation between UA levels, MDS-UPDRS, H & Y, and MMSE scores. Results: The age of the participants ranged from 59 to 80 years. Results showed that serum UA level in healthy control (5.41±0.99; p=0.001) and VP groups (5.27 ± 0.99; p=0.001) were significantly higher compared to IPD group (4.34 ±1.03). We found a significant negative correlation between UA and MDS-UPDRS (r=-0.68, p<0.01) and H & Y scores (r = -0.61, p<0.01) and a significant positive correlation of UA with MMSE (r=0.55, p<0.01) in the IPD group. UA levels in the VP group were not correlated with any of the outcome measures. Conclusion: In people with IPD, serum UA level was negatively correlated with severity and progression of the disease but positively correlated with cognitive ability.

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Context: In the elderly stroke or stroke-related injury often results in cortical dysfunction termed as aphasia. This affects language usage and multiple aspects of communication. Comparative studies between cortical and subcortical lesions in aphasia are lacking. Aim: To study the type of aphasia in cortical and subcortical strokes. Settings and Design: Prospective observational. Subjects and Methods: Subjects with cortical and subcortical strokes of the dominant cerebral hemisphere were included in the study and divided into various aphasia types. Bedside language tests and distribution according to educational qualifications were performed. The subjects were assessed for aphasia scores and its association was performed with other baseline characteristics. Statistical Analysis Used: Data was expressed as a percentage and mean ± standard deviation. Kolmogorov-Smirnov analysis and Fischer's exact test or Chi-square test were used. Results: Significant difference was noted between the type of aphasia and age group in study subjects (P < 0.001). A severe form of language dysfunction like global aphasia was noted in subjects with a comparatively low level of education, with subcortical bleed, or those with left perisylvian infarcts. Subjects with diabetes and dyslipidemia had a higher risk of developing anomic aphasia (P = 0.02). Conclusions: This study showed the type of aphasia in subjects with cortical and subcortical strokes and it revealed that age at onset, level of education, and site of the lesion were associated with the outcome of patients of aphasia.