NEW DELHI, (IANS) – The Supreme Court on April 2 came down heavily on Baba Ramdev and Patanjali Ayurved’s Managing Director Acharya Balkrishna for filing improper versions of affidavits in response to ...

Tips for Increasing Hemoglobin Understanding Hemoglobin: Hemoglobin is a crucial component of our blood, responsible for transporting oxygen throughout the body. A decrease in hemoglobin levels can ...

Patanjali Ayurved has modernized ancient Ayurvedic wisdom, transforming traditional remedies into accessible, mass-market products since 2006. By integrating scientific research, quality control, and ...

Just how dangerous is sleeping in various postures? What is the correct way to get a full night's rest? A staggering 700 million people in the country sleep for less than six hours. Insomnia is ...

Through yoga, India can top the Happiness Index as Swami Ramdev emphasizes that it ensures a healthy body alongside a calm, joyful mind. He suggests simple asanas and pranayama techniques to ...

The latest blockbuster starring Aamir Khan has generated a response that warranted an interactive where admirers can play with his character PK, and get the latest on the movie.

Practicing yoga in Connecticut is more than a workout. Yoga classes offer the opportunity to be reflective and to join a community of local yogis where you feel most comfortable. With all the ...

Morningstar Quantitative Ratings for Stocks are generated using an algorithm that compares companies that are not under analyst coverage to peer companies that do receive analyst-driven ratings.

Get to know about Narendra Modi's Biography, Family, Salary, Qualification, Net Worth and more. Read breaking news updates, videos, photos about PM Narendra Modi at financialexpress.com ...

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...

The overall quant rating is not an average of the factor grades listed. Instead, it gives greater weight to the metrics with the strongest predictive value.