✨ Yogi unveils Rs 800 crore projects in Raebareli

Yogi Adityanath stated that Raebareli has transformed under the BJP-led governments while inaugurating development projects worth over Rs 800 crore. This occurred on Monday during an event marking the 222nd birth anniversary of Rana Beni Madhav Baksh Singh in the district. The projects aim to fulfill aspirations, improve farmers' conditions, and offer dignity to artisans and workers. He heavily criticized the Congress and Samajwadi Party for alleged deprivation in the past. The CM asserted that the district's development is now making its name known across the country. 🚀

🏛️ Telangana CM denies US meeting claims

Telangana Chief Minister A Revanth Reddy has officially denied reports about a planned meeting with NYC Mayor Zohran Mamdani during his US trip. The CM's proposed US visit was cancelled due to a political disagreement between the state and the Central government. Telangana alleged that the Centre deliberately blocked efforts to schedule meetings with important officials and business leaders. This denial comes as the political tension between the state and the Centre continues to escalate. Further developments regarding the itinerary cancellation are still pending. 🏛️

🔬 Weight Loss Drugs in Bipolar Disorder Research

Researchers are investigating the potential application of weight loss medications for bipolar disorder. This study involves medical professionals at various institutions globally. Data collected spans from January 1st to March 31st, 2024. The research aims to understand how these drugs affect mood regulation in bipolar patients. Future trials will determine if this offers a viable new treatment pathway.

💥 Canada-US trade talks collapse, trade war heats up 🔥

Trade negotiations between Canada and the United States abruptly failed just before new US tariffs went live, worsening the economic tensions between the two nations. This breakdown occurred involving US President Donald Trump and Canadian Prime Minister Mark Carney. The US imposed 50% tariffs on about $20 billion worth of Canadian goods, while Canada announced a "dollar-for-dollar" retaliation starting September 8. Carney cited last-minute US demands concerning content and sovereignty as the reason for walking away from the deal. Moving forward, Canada is actively seeking to diversify its trade partners to reduce its dependence on the US.

🧘‍♀️ Shilpa Shetty on fitness: Protein is just one part

Shilpa Shetty revealed that protein is only one aspect of her overall fitness strategy in a recent interview. She shared that exercise alone is insufficient and emphasized the need for a balanced diet including calcium and good fats. Her focus has shifted from calorie restriction to understanding her body's nourishment needs over time. Shetty stressed that consistency, not a specific exercise, is the hardest part of staying fit. If she had 24 hours, she would prioritize long yoga sessions, travel, and quiet time. 🧘‍♀️

⚠️ Harvard warns international students about visa rule changes

Harvard University has urged its international students and scholars to return to the US before September 15. This advice is for F-1 and J-1 students enrolled in on-campus programmes this autumn at Harvard. The Department of Homeland Security rule replaces the 'duration of status' with a fixed authorized stay period starting September 15. Those already in the US maintain grace periods, but new arrivals face stricter rules. Students should check their documents and consult their international office before traveling. ✈️

🤝 Putin praises Modi for boosting Russia-India trade

Russian President Vladimir Putin recently credited Prime Minister Narendra Modi for strengthening the ties between Russia and India. This praise came during a meeting with External Affairs Minister S Jaishankar in New Delhi. Putin noted that the trade turnover has increased this year, contrasting it with a decrease last year. Jaishankar confirmed that economic cooperation across trade, energy, and nuclear sectors has grown significantly between the nations. Both sides are looking forward to further cooperation ahead of Putin's BRICS Summit visit on September 12-13.

😠 Telangana BJP strikes over student fee dues 😠

Telangana BJP president N. Ramchander Rao started a two-day hunger strike on Monday, August 24, 2026. He launched the protest at the BJP State office in Hyderabad to demand the release of ₹15,000 crore in fee reimbursement dues. The BJP accused the Congress government of jeopardizing the future of nearly 40 lakh students in Telangana. Rao also criticized CM A. Revanth Reddy's handling of the education sector and the failure to release a promised ₹2,000 crore advance. The BJP stated it would continue agitating until the issue is completely resolved.

🌧️ Why Gurugram still floods despite big drainage spend

Gurugram experienced severe waterlogging after just an hour of heavy rain on Monday, August 24, 2026. This city, located in Haryana, saw traffic grind to a halt across multiple areas. Authorities have invested about Rs 1,400 crore in drainage work since the 2016 Gurujam event. However, the issue persists due to poor urban planning and concrete covering natural absorption zones. The city needs comprehensive solutions beyond just drainage upgrades to fix this problem. 😥

🏫 Kumbh budget could have saved Marathi schools

Supreme Court Judge Justice Prasanna B Varale pointed out the poor state of education in India. He stated that even 0.1% of the Nashik Kumbh expenditure could have saved 100-125 Marathi schools from closing down. The government allocates between Rs 32,000 crore and Rs 34,000 crore for the Kumbh Mela. Varale stressed that primary education and healthcare are fundamental rights for every citizen. He urged better funding for essential school facilities across the state. 🏫

⚛️ Quantum state error limits get tighter with new math

Researchers have developed a new method to describe and differentiate collections of quantum states, known as ensembles. This work was conducted by a University of Southern California team, establishing fundamental error limits for distinguishing between these state collections. The analysis shows that accurate identification relies on complex statistical patterns within the sampled data, specifically up to the total number of samples taken. These findings set precise performance standards for optical communication and generative machine learning techniques. Ultimately, this paves the way for more efficient quantum algorithms despite relying on idealized quantum designs. ⚛️