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Increasing negative effects of fossil fuel in addition to limited stock have forced many countries to switch to environmental friendly alternatives that are renewable and can sustain the increasing energy demand. In order to tap the potential of various renewable energy sources, there is a need to assess the availability of the resources spatially. Mapping potential sites for tapping renewable energy is the focus of this study. The study employs the Geographical Information System (GIS) to map various renewable energy sources. A case study of Indian state Maharashtra has been taken. Open source software, Quantum GIS (QGIS) is used to analyze the variability of renewable energy considering the spatial aspect. Maps of installed capacity have been prepared. Solar insolation data and wind speed data available for few sites in the state are mapped and then interpolated for the entire state. A macro survey is done to estimate the renewable energy potential available in the state. Spatial interpolation has been done for micro analysis to define the usefulness of such a system.

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Background: This study aimed to determine the predictive power of the Full Outline of Unresponsiveness (FOUR) score and the Glasgow Coma Scale Pupil (GCS-P) score in determining outcomes for traumatic brain injury (TBI) patients. The Glasgow Outcome Scale (GOS) was used to evaluate patients at 1 month and 6 months after the injury. Methods: We conducted a 15-month prospective observational study. It included 50 TBI patients admitted to the ICU who met our inclusion criteria. We used Pearson’s correlation coefficient to relate coma scales and outcome measures. The predictive value of these scales was determined using the receiver operating characteristic (ROC) curve, calculating the area under the curve with a 99% confidence interval. All hypotheses were two-tailed, and significance was defined as P<0.01. Results: In the present study, the GCS-P and FOUR scores among all patients on admission as well as in the subset of patients who were mechanically ventilated were statistically significant and strongly correlated with patient outcomes. The correlation coefficient of the GCS score compared to GCS-P and FOUR scores was higher and statistically significant. The areas under the ROC curve for the GCS, GCS-P, and FOUR scores and the number of computed tomography abnormalities were 0.912, 0.905, 0.937, and 0.324, respectively. Conclusions: The GCS, GCS-P, and FOUR scores are all excellent predictors with a strong positive linear correlation with final outcome prediction. In particular, the GCS score has the best correlation with final outcome.

Purpose: To identify and describe the clinical profile at presentation in patients diagnosed as having Leber's hereditary optic neuropathy with primary and secondary mutations and correlate with treatment. Methods: A review of electronic medical records from January 2016 to December 2020 for proven cases of Leber's hereditary optic neuropathy was conducted. A total of 157 patients with clinically suspected Leber's hereditary optic neuropathy (143 males and 14 females) underwent genetic testing and 55 were found to have a mutation for Leber's hereditary optic neuropathy. Data of 55 consecutive patients were retrieved and analyzed for their clinical profile, investigations, mutations identified, treatment, and outcome. Results: All 55 patients were male, and the mean age was 23.80 ± 9.90 years (range: 9 to 53 years). The median duration of symptoms before the first physician examination was 6 months. The mean duration between the first hospital visit and genetically proven diagnosis of Leber's hereditary optic neuropathy was 9.03 ± 19.61 months (median: 2 months). More than half of the patients (n = 32; 58.2%) presented with severe to profound vision impairment in the better eye and 72.7% (n = 40) in the worse eye. Bilateral temporal disc pallor was more frequent in 38.2% (n = 21) and 36.4% (n = 20) had bilateral optic atrophy. Primary single mutations were detected in 61.81% (n = 34) and secondary mutations were detected in 38.2% (n = 21). The most common mutation was G11778A. One novel secondary mutation (A13615C) was identified in the cohort. Idebenone was used for treatment in 15 patients, and half of them (n = 8) showed an improvement in vision at 2 to 7 months of follow-up. Conclusions: The current cohort is the largest study to date in an Indian population that has analyzed the clinical presentations and mutations of Leber's hereditary optic neuropathy. G11778A was the most common primary mutation and several secondary mutations were identified. A delay in referral, inadequate compliance, and cost of care contributed to the outcomes. [ J Pediatr Ophthalmol Strabismus . 2022;59(5):344–349.]