Hari Shanker

Kirloskar Ferrous Industries Limited (KFIL), a prominent manufacturer in the castings and pig iron manufacturing sector in India, announced the restart of its mini blast furnace at Hiriyur, effective April 15, 2024. This strategic decision comes after a brief suspension of operations due to challenging market conditions, including weakened demand and declining pig iron prices earlier this year.

Elgi Equipments (BSE: 522074, NSE: ELGIEQUIP), a global leader in air compressor technology, today announced the launch of the EG SP (Super Premium) series. This latest addition to the acclaimed EG series of oil-lubricated screw air compressors marks a significant step forward in compressed air efficiency, offering up to 15% energy savings and setting a new standard in the industry for the 90-110kW compressor category.

NORD DRIVESYSTEMS, one of the leading providers of drive technologies, will exhibit a comprehensive array of innovative products at ACHEMA 2024 from 10 to 14 June, focusing on robust and efficient solutions for the process industry. NORD’s presentation will be at Hall 8.0, Stand B52 at the Frankfurt am Main exhibition grounds.

The Hannover Messe 2024, the world’s leading industrial trade fair, commenced this week under the aegis of German Chancellor Olaf Scholz and Norwegian Prime Minister Jonas Gahr Støre. Themed “Energizing a Sustainable Industry,” the fair highlights the importance of carbon-neutral production and the promising role of hydrogen fuel cells. Despite the vibrant kick-off with nearly 4,000 exhibitors from about 60 countries, the unforeseen climate event in Dubai cast a significant shadow over the proceedings.

ZEISS, one of the global leader in optics and optoelectronics, has announced a strategic partnership with Argolight, a renowned French company known for its innovative quality control solutions. This collaboration is set to revolutionize microscopy by integrating Argolight’s advanced quality control technologies with ZEISS’s comprehensive line of microscopes, providing users with unprecedented tools to ensure the highest standards of imaging performance.

The Industrial Roadshow Cikarang, scheduled for July 18-19, 2024, at President University Hall, is gearing up to be an important event for professionals in the industrial sector. This highly anticipated exhibition, known for fostering collaboration and innovation, aims to bring together engineers, business owners, and industry stakeholders from across the region and beyond.

Paul Weaver and Sanjay Sangam of Renishaw India inaugurating the new Chennai office

Aurangabad-based KCP Gauging Technology Private Limited a pioneer in precision measuring instruments and gauges, is celebrating its 25th anniversary with a significant expansion into Europe. The company has announced the establishment of KCP Messtechnik, GmbH in Germany, marking a strategic move to strengthen its presence and responsiveness in the European market.

Forest degradation is a major issue in ecosystem monitoring, and to take reformative measures, it is important to detect, map, and quantify the losses of forests. Synthetic Aperture Radar (SAR) time-series data have the potential to detect forest loss. However, its sensitivity is influenced by the ecoregion, forest type, and site conditions. In this work, we assessed the accuracy of open-source C-band time-series data from Sentinel-1 SAR for detecting deforestation across forests in Africa, South Asia, and Southeast Asia. The statistical Cumulative Sums of Change (CuSUM) algorithm was applied to determine the point of change in the time-series data. The algorithm's robustness was assessed for different forest site conditions, SAR polarizations, resolutions, and under varying moisture conditions. We observed that the change detection algorithm was affected by the site- and forest-management activities, and also by the precipitation. The forest type and eco-region affected the detection performance, which varied for the co- and cross-pol backscattering components. The cross-pol channel showed better deforested region delineation with less spurious detection. The results for Kalimantan showed a better accuracy at a 100 m spatial resolution, with a 25.1% increase in the average Kappa coefficient for the VH polarization channel in comparison with a 25 m spatial resolution. To avoid false detection due to the high impact of soil moisture in the case of Haldwani, a seasonal analysis was carried out based on dry and wet seasons. For the seasonal analysis, the cross-pol channel showed good accuracy, with an average Kappa coefficient of 0.85 at the 25 m spatial resolution. This work was carried out in support of the upcoming NISAR mission. The datasets were repackaged to the NISAR-like HDF5 format and processing was carried out with methods similar to NISAR ATBDs.

Retraction Note to: Mol Neurobiol (2018) 55:300–311 https://doi.org/10.1007/s12035-017-0742-9