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As per the draft papers, the IPO comprises fresh issuance of equity shares worth Rs 370 crore and an offer-for-sale of shares aggregating to Rs 370 crore by promoter Inox Wind.",Elon Musk on Wednesday said he was excited about his pending acquisition of Twitter Inc, although he and other investors were overpaying for the social media company.",‘Save Democracy’, ‘Nation is behind Rahul Ji’, ‘He is Gandhi not Savarkar’ were some of the placards carried by the members on their way to the Assembly to participate in the day’s proceedings.",Kaduva is being scripted by filmmaker Jinu Abraham, who directed Prithviraj in Adam John (2017) and wrote the actor’s London Bridge (2014). According to reports, it was based on Prithviraj’s recommendation that Jinu approached Shaji to direct the film.",Gamlet Zinkivskiy is fighting the Russian invasion with a paintbrush, creating murals he hopes can boost morale and provide a brief antidote to war in Kharkiv, Ukraine’s battle-scarred second city.",Sunita Negi and her husband Surat Singh Negi stay at the backyard of the house as caretakers along with their son Aman. House owner D S Tung has been residing in the US for the past 10 years.",In the Asian betting world, is known as a bookmaker with great appeal to players and bettors.⚡,Weak Q4 results by TCS and Infosys have spooked investors over the effect of the banking crisis on the IT sector, and have dragged domestic equities down.",According to sources, the trekking ban will be effective from February 1 till standard operating procedures are framed.",After opening flat, domestic equities plunged on Monday for the fourth straight session tracking global cues and Q2 results. BSE benchmark Sensex slumped 825.74 points, or 1.26 per cent to 64,571.88, while broader NSE Nifty 50 slid 260.90 points, or 1.34 per cent to 19,281.75.",The condition of four pilgrims is reportedly critical and they have been admitted to the hospital, they said.",A new artificial-intelligence-based technique developed by Johns Hopkins University researchers could reportedly predict if and when a patient could die of cardiac arrest. According to the university, the technology trained on raw images of diseased patients’ hearts and patient backgrounds improves on doctor’s predictions and could potentially revolutionise clinical decision making and increase the chances of survival for patients with sudden and lethal cardiac arrhythmias.".