Highlights From Starship's Test Flight 9: Everything That Happened in 17 Minutes Mashable Tech Science Life Social Good Entertainment Deals Shopping Games Search Cancel * * Search Result Tech Apps & Software Artificial Intelligence Cybersecurity Cryptocurrency Mobile Smart Home Social Media Tech Industry Transportation All Tech Science Space Climate Change Environment All Science Life Digital Culture Family & Parenting Health & Wellness Sex, Dating & Relationships Sleep Careers Mental Health All Life Social Good Activism Gender LGBTQ Racial Justice Sustainability Politics All Social Good Entertainment Games Movies Podcasts TV Shows Watch Guides All Entertainment SHOP THE BEST Laptops Budget Laptops Dating Apps Sexting Apps Hookup Apps VPNs Robot Vaccuums Robot Vaccum & Mop Headphones Speakers Kindles Gift Guides Mashable Choice Mashable Selects All Sex, Dating & Relationships All Laptops All Headphones All Robot Vacuums All VPN All Shopping Games Product Reviews Adult Friend Finder Bumble Premium Tinder Platinum Kindle Paperwhite PS5 vs PS5 Slim All Reviews All Shopping Deals Newsletters VIDEOS Mashable Shows All Videos Home Science Space Highlights From Starship's Test Flight 9: Everything That Happened in 17 Minutes Starship Test Flight 9 ends with "confirmation that the booster did demise." By Mashable Video on May 28, 2025 Share on Facebook Share on Twitter Share on Flipboard Watch Next Qualcomm's 2025 Computex Highlights: Everything Announced in 20 Minutes 20:09 Everything Announced at AMD's 2025 Computex Keynote in 19 Minutes 19:31 Everything Revealed at Nvidia's 2025 Computex Press Conference in 19 Minutes 19:55 Microsoft Build 2025 keynote: Everything announced, in 14 minutes 14:43 SpaceX conducted its ninth test flight of the Starship Launch Vehicle atop a Falcon Heavy booster from Starbase, Texas. See all the highlights from the test launch. Topics SpaceX Elon Musk Rocket Launches Latest Videos'Good Fortune' trailer: Keanu Reeves plays a guardian angel in Aziz Ansari's directorial debut Keanu Reeves as an angel? And, well... 05/24/2025 By Leah Stodart Say More: R.L. Stine on'Fear Street: Prom Queen' and Matt Wolf on'Pee-wee as Himself' From teen-defining terror to a childhood icon, '80s nostalgia thrives.

Predicting the emergence of multiple chronic conditions (MCC) is crucial for early intervention and personalized healthcare, as MCC significantly impacts patient outcomes and healthcare costs. Graph neural networks (GNNs) are effective methods for modeling complex graph data, such as those found in MCC. However, a significant challenge with GNNs is their reliance on an existing graph structure, which is not readily available for MCC. To address this challenge, we propose a novel generative framework for GNNs that constructs a representative underlying graph structure by utilizing the distribution of the data to enhance predictive analytics for MCC. Our framework employs a graph variational autoencoder (GVAE) to capture the complex relationships in patient data. This allows for a comprehensive understanding of individual health trajectories and facilitates the creation of diverse patient stochastic similarity graphs while preserving the original feature set. These variations of patient stochastic similarity graphs, generated from the GVAE decoder, are then processed by a GNN using a novel Laplacian regularization technique to refine the graph structure over time and improves the prediction accuracy of MCC. A contextual Bandit is designed to evaluate the stochastically generated graphs and identify the best-performing graph for the GNN model iteratively until model convergence. We validate the performance of the proposed contextual Bandit algorithm against $\varepsilon$-Greedy and multi-armed Bandit algorithms on a large cohort (n = 1,592) of patients with MCC. These advancements highlight the potential of the proposed approach to transform predictive healthcare analytics, enabling a more personalized and proactive approach to MCC management.

The annual America's safest drivable cities list has been published, let's start thinking about what the list will be like once driverless cars emerge. The annual ranking of the top cities in the United States for having the "safest" drivers has been recently published by Allstate Insurance, the chronicler of the America's Best Driver's Report. I'm sure that you want to know which cities have the best drivers and which ones have the worst. Of the 200 cities listed, the "best" or topmost five in terms of being at the top of the list were: Of the 200 cities listed, the "worst" in terms of ending at the final pole positions of 196 through 200 were: Some people glance at the list to see where their particular city has landed. Some use the list to be extra cautious when driving in the cities that are toward the latter portion of the list.