The multifaceted nature of disaster impact shows that densely populated areas contribute more to aggregate burden, while sparsely populated but heavily affected regions suffer disproportionately at the individual level. This study introduces a framework for quantifying the societal impacts of power outages by translating customer weighted outage exposure into deprivation measures, integrating welfare metrics with three recovery indicators, average outage days per customer, restoration duration, and relative restoration rate, computed from sequential EAGLE I observations and linked to Zip Code Tabulation Area demographics. Applied to four United States hurricanes, Beryl 2024 Texas, Helene 2024 Florida, Milton 2024 Florida, and Ida 2021 Louisiana, this standardized pipeline provides the first cross event, fine scale evaluation of outage impacts and their drivers. Results demonstrate regressive patterns with greater burdens in lower income areas, mechanistic analysis shows deprivation increases with longer restoration durations and decreases with faster restoration rates, explainable modeling identifies restoration duration as the dominant driver, and clustering reveals distinct recovery typologies not captured by conventional reliability metrics. This framework delivers a transferable method for assessing outage impacts and equity, comparative cross event evidence linking restoration dynamics to social outcomes, and actionable spatial analyses that support equity informed restoration planning and resilience investment.

At Springwood library in the Blue Mountains, a librarian appears with a cat carrier in each hand. About 30 children gather around in a semicircle. Inside each carrier, a pair of beaming, sci-fi-like eyes peer out at the expectant crowd. "That is the funniest thing ever," one child says. The preschoolers have just finished reading The Truck Cat by Deborah Frenkel and Danny Snell for the annual National Simultaneous Storytime.

In this work we present a corpus of poems by William Shakespeare and John Milton that have been enriched with readings from the public domain. We have aligned all the lines with their respective audio segments, at the line, word, syllable and phone level, and we have included their scansion. We make a basic visualization platform for these poems and we conclude by conjecturing possible future directions.

Are you interested in the practical application of Artificial Intelligence to solve problems in the real-world? Are you interested in being part of a team that quickly brings new ideas to life? Do you thrive on the challenges related to exploring the art of the possible? Are you experienced in getting new products and solutions to the market quickly? If so, consider joining our AI innovation team. The role of AI Engineer / Analyst / Specialist (depending on seniority) will join our team of technologists responsible for incubating new and novel software/data initiatives that drive growth and explore new markets for Taylor & Francis. This role operates within the Taylor & Francis technology organisation and reports to the Director of Artificial Intelligence Innovation. We are looking for an experienced AI practitioner to join the team, using data science, machine learning and AI technologies to help us improve various business outcomes and drive innovation. Our focus is on Machine Learning, Natural Language Processing, Neural Networks, Large Language Models, Knowledge Graphs, and Multi-Modal Generative AI.

He has extensive experience in the retail & marketing & e-commerce industries with skills that span customer-based strategies & digital transformation. Milton has had a long & successful career spanning a diverse portfolio of industries, including publishing & retail. He was formerly Chief Digital Officer of Retailwinds where he led digital media & e-commerce. Prior to Retailwinds, he was Chief Marketing Officer of Hudson's Bay Company where he oversaw the strategic direction & performance of all marketing efforts for the Company's North American retail banners & led the Marketing Center of Excellence (COE). He joined HBC as the Senior Vice President of Digital Marketing in September 2016.

Tesla CEO Elon Musk said the electric-car maker would reveal plans for a commercial truck and pickup truck. Tesla CEO Elon Musk is pledging a revolution with an electric semi-truck. Tesla's plans to disrupt the semi-truck business with a new electric big rig could create a new revolution -- and CEO Elon Musk isn't holding back on the hyperbole. Musk is pledging a groundbreaking advancement Thursday night at an event near Los Angeles and will release details on the new truck.. "This will blow your mind clear out of your skull and into an alternate dimension," Musk said Sunday in a tongue-in-cheek tweet. The race to deliver electric trucks could eventually pose economic benefits to consumers if the technology lowers the price of transportation and reduces emissions that contribute to climate change.