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}.

Building height is an important indicator for scientific research and practical application. However, building height products with a high spatial resolution (10m) are still very scarce. To meet the needs of high-resolution building height estimation models, this study established a set of spatial-spectral-temporal feature databases, combining SAR data provided by Sentinel-1, optical data provided by Sentinel-2, and shape data provided by building footprints. The statistical indicators on the time scale are extracted to form a rich database of 160 features. This study combined with permutation feature importance, Shapley Additive Explanations, and Random Forest variable importance, and the final stable features are obtained through an expert scoring system. This study took 12 large, medium, and small cities in the United States as the training data. It used moving windows to aggregate the pixels to solve the impact of SAR image displacement and building shadows. This study built a building height model based on a random forest model and compared three model ensemble methods of bagging, boosting, and stacking. To evaluate the accuracy of the prediction results, this study collected Lidar data in the test area, and the evaluation results showed that its R-Square reached 0.78, which can prove that the building height can be obtained effectively. The fast production of high-resolution building height data can support large-scale scientific research and application in many fields.

Algorithms for sparse matrix completion are used in recommender systems to predict user preferences to items such as news, movies, or songs [1]. The same methods can be successfully applied in other fields, for instance in systems biology to predict gene-disease associations or in computational systems pharmacology to predict adverse drug reactions [2] and to repurpose FDA approved drugs [3]. Matrix completion is the task of filling out missing entries in an observed sparse matrix. A low rank solution to matrix completion problem can be obtained via matrix factorization, a technique that approximates the input sparse matrix as a product of two lower dimensional matrices of users' and items' latent vectors [4]. Despite efforts to develop more sophisticated techniques, such as the methods based on artificial neural networks [5], matrix factorization remains the method of choice in recommender systems due to its efficiency and high accuracy [6].

To further explore the intersection of 5G and manufacturing, register for the 5G Manufacturing Forum. Global manufactuers are starting to adopt 5G to improve manufacturing processes. Low latency and high reliability are needed to support critical applications in the manufacturing field. Several top manufacturers are already taking advantage of 5G implementation to improve operations in different industrial environments. Here we briefly describe some implementations by large manufacturers globally.

Apple's second fall product event kicks off later today at 1 PM ET. We've laid out what to expect, but it's not the only big tech event week. Spare a thought for some of our staff, who will go straight from Apple reportage into Google. Yep, Tuesday October 19th is Google's Pixel 6 event. While we know what the phone will look like -- and some of its specifications -- expect to see some software surprises.

It has been more than two years in the making, but 13 new astronauts have finally joined NASA under the mission that will bring the first female to the moon -and some may be the first humans to step on Mars. The candidates, who have been training since 2017, participated in the first public graduation ceremony for astronauts on Friday at the American space Agency's Johnson Space Center in Houston. The group includes six women and seven men, two of them were Canadian Space Agency (CSA) astronauts, and all were chosen from record-setting pool of more than 18,000 applicants. During the ceremony, each of the bright-eyed graduates were given a silver pin that symbolizes the Mercury 7 – NASA's first astronaut group that was selected in 1959. They will then be awarded a gold pin once they completed their first spaceflights.