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Heavy winds and a sudden downpour Monday evening led to massive traffic jams and waterlogging of low-lying areas in certain parts of Hyderabad. The showers that lasted a little more than an hour threw daily life out of gear as roads were covered in water.",

Infrastructure company Larsen & Toubro (L&T) on Monday said it has received multiple orders across various business segments in the domestic market.",

Goalkeeper Thibaut Courtois rejected coach Domenico Tedesco comments that he walked out on the Belgium squad after being passed over for the captaincy and said he left their training camp due to a knee problem.",

While huge Victorian era castles would always fascinate travellers around the world, there is a new trend that is making the rounds – treehouses. The whimsical homes in perfect harmony with nature is what people are looking out for to have a magical experience. From rustic backyards to tropical jungle hideaways, these treehouses as listed by Airbnb are the most popular. Take a look at the magnificence."

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A star is ending its life so violently that the dead star left behind, called a white dwarf, is disrupting an entire planetary system by sucking in debris from both its inner and outer reaches. This cosmic phenomenon is the first time that astronomers have observed. The white dwarf star is consuming the rock-metallic and icy material, both of which are the “ingredients of planets”.",

In the video, Vikrant is seen disputing the cab fare, which he claims is higher than what was initially displayed on the app. However, the driver argued that the app itself increased the fare, absolving him of any wrongdoing. He accuses Vikrant of verbal abuse, stating, “My name is Ashish. I am a cab driver. I have dropped my passenger at his location but he is not giving me money and he is abusing me verbally.”",

Monthoux began this year’s project with modest ambitions six weeks ago but the drought allowed him to build an entire city of spires.",

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."