Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television. Increasingly, radio broadcasts are also streamed online and accessed over the Internet. We present WavePulse, a framework that records, documents, and analyzes radio content in real-time. While our framework is generally applicable, we showcase the efficacy of WavePulse in a collaborative project with a team of political scientists focusing on the 2024 Presidential Elections. We use WavePulse to monitor livestreams of 396 news radio stations over a period of three months, processing close to 500,000 hours of audio streams. These streams were converted into time-stamped, diarized transcripts and analyzed to track answer key political science questions at both the national and state levels. Our analysis revealed how local issues interacted with national trends, providing insights into information flow. Our results demonstrate WavePulse's efficacy in capturing and analyzing content from radio livestreams sourced from the Web. Code and dataset can be accessed at \url{https://wave-pulse.io}.

New and innovative technologies are making their way into clinical trials. But which have the greatest potential to transform studies? "We are currently seeing emerging digital technologies which have an incredible potential to unlock the next chapter of medical innovation," says Jake LaPorte, head of digital development for Novartis. "Artificial intelligence (AI) and the Internet of Things (IoT) are two disruptive but complementary technologies that are beginning to find broad applications, not just in pharma but in all of our society. They're likely to have profound effects on the underpinnings of our economy and our society more broadly, much as the internet has."

Dial-A-Ride Problem (DARP) addresses the issue of doorto-door transportation service for the customers with high customer satisfaction. Now-a-days, transportation services have increasing need in our daily life, and it started to directly impact our environment as well as quality of living. According to a study conducted by University of British Columbia, the road pricing or pay-per-use is the most effective way to reduce emissions and traffic [1]. DARP has many applications ranging from taxi services to autonomous cargo and ground operations at the airports. DARP is an extension of pickup and delivery problem under the class of vehicle routing problem (VRP) [2]. It is a combinatorial optimization problem with an objective function to minimise the overall cost while satisfying a specific set of constraints such as time-window, maximum waiting time and maximum ride time to ensure high-quality customer service. In this problem, a set of customers makes a request for pickup and drop-off at certain locations within a predefined time-window. An approach to solve DARP based on dynamic programming has been proposed in [3], in which divide and conquer method is used to solve the problem.

A USA TODAY motion graphic showing what a city of the future may look like. Cities of the future could be a haven of largely driverless efficiency and tranquility, but there are many potential potholes on the road to this vision. SAN FRANCISCO – The city of the future has had countless fantasy blueprints, from The Jetsons' pleasant hive of automated efficiency to Blade Runner's dystopian tangle of urban chaos. But the reality is the city of future is closer than you think, as tech companies and automakers floor the pedal on projects ranging from cars that drive themselves to apps that aggregate transportation options. Conversations with mobility experts here and abroad paint a picture of an urban revolution that is already underway in a patchwork of cities from Seattle to Stockholm.