Anesthetic management of mini sternotomy and excision of mediastinal neurogenic tumor: Brain-Heart crosstalk.

Brachial plexus tumors are rare and pose challenges for neurosurgeons due to their anatomical complexity. Retrosternal extension of a tumor makes it more difficult for the surgeons as well as for the anesthesiologists to secure a definitive airway. A cardiopulmonary bypass would be lifesaving in the event of acute cardiorespiratory decompensation. Multidisciplinary collaboration and cooperation between the neurosurgeon, oncosurgeon, cardiothoracic surgeon, and anesthesiologist are imperative to ensure good patient outcomes. Meticulous preoperative evaluation and operative planning are essentially the key factors in anesthetic management. Here we report a successful management of a 49-year-old male patient presented with a large painless mass arising from his right supraclavicular region and compressing the roots of the brachial plexus, trachea, and esophagus and extending up to the apex of the lungs, posted for mini sternotomy and excision of the mass.

Suspended Particulate Matter Analysis of Pre and During Covid Lockdown Using Google Earth Engine Cloud Computing: A Case Study of Ukai Reservoir.

Presence of suspended particulate matter (SPM) in a waterbody or a river can be caused by multiple parameters such as other pollutants by the discharge of poorly maintained sewage, siltation, sedimentation, flood and even bacteria. In this study, remote sensing techniques were used to understand the effects of pandemic-induced lockdown on the SPM concentration in the lower Tapi reservoir or Ukai reservoir. The estimation was done using Landsat-8 OLI (Operational Land Imager) having radiometric resolution (12-bit) and a spatial resolution of 30 m. The Google Earth Engine (GEE) cloud computing platform was used in this study to generate the products. The GEE is a semi-automated workflow system using a robust approach designed for scientific analysis and visualization of geospatial datasets. An algorithm was deployed, and a time-series (2013-2020) analysis was done for the study area. It was found that the average mean value of SPM in Tapi River during 2020 is lowest than the last seven years at the same time.

Application of improved fuzzy best worst analytic hierarchy process on renewable energy.

In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number. The real motive behind our work is to take a broad view of the existing fuzzy BWM based on triangular fuzzy number by trapezoidal fuzzy number. Also, we have presented a new hybrid MCDM technique called as Trapezoidal fuzzy Best Worst Analytic Hierarchy based on proposed trapezoidal fuzzy BWM and existing trapezoidal fuzzy Analytic Hierarchy Process (AHP). BWM approach is employed in evaluating the PV of considering criteria and trapezoidal fuzzy AHP is used to assess the local priority vale (PV) of considering alternatives (or indicators) of a decision problem. Moreover it used to identify the most significant alternative which is responsible for performance efficiency of a hydro power plant under climatic scenario. From the result, it is undoubtedly found that hydraulic had is most responsible indicator. Further, the CR (consistency ratio) value which is determined by our proposed trapezoidal fuzzy BWM is less than that of existing BWM and fuzzy BWM techniques. Finally, we have validated our result by comparative study, scenario analysis and sensitivity analysis.