Enhanced diffusion bonding of alloy 617 using electric field-assisted sintering

Autor: Xinchang Zhang, Michael D. McMurtrey, Ryann E. Bass, Tate Patterson, Ninad Mohale, Thomas M. Lillo, Jorgen F. Rufner

Publikováno v: Journal of Materials Research and Technology, Vol 26, Iss , Pp 7033-7051 (2023)

The development of compact heat exchangers (CHXs) has gained increasing interest in many industries owing to their high thermal efficiency and reduced size. Diffusion bonding (DB) is an advantageous technique for fabricating CHXs. Alloy 617 is a cand

Externí odkaz: https://doaj.org/article/ddc51fc5862141f6bd31650eda45da5e

User-Centered Design of Socially Assistive Robotic Combined with Non-Immersive Virtual Reality-based Dyadic Activities for Older Adults Residing in Long Term Care Facilities

Autor: Ghosh, Ritam, Khan, Nibraas, Migovich, Miroslava, Tate, Judith A., Maxwell, Cathy, Latshaw, Emily, Newhouse, Paul, Scharre, Douglas W., Tan, Alai, Colopietro, Kelley, Mion, Lorraine C., Sarkar, Nilanjan

Apathy impairs the quality of life for older adults and their care providers. While few pharmacological remedies exist, current non-pharmacologic approaches are resource intensive. To address these concerns, this study utilizes a user-centered design

Externí odkaz: http://arxiv.org/abs/2410.21197

Warm-Started QAOA with Aligned Mixers Converges Slowly Near the Poles of the Bloch Sphere

Autor: Tate, Reuben, Eidenbenz, Stephan

In order to boost the performance of the Quantum Approximate Optimization Algorithm (QAOA) to solve problems in combinatorial optimization, researchers have leveraged the solutions returned from classical algorithms in order to create a warm-started

Externí odkaz: http://arxiv.org/abs/2410.00027

Different factors limit early‐ and late‐season windows of opportunity for monarch development

Autor: Louie H. Yang, Karen Swan, Eric Bastin, Jessica Aguilar, Meredith Cenzer, Andrew Codd, Natalie Gonzalez, Tracie Hayes, August Higgins, Xang Lor, Chido Macharaga, Marshall McMunn, Kenya Oto, Nicholas Winarto, Darren Wong, Tabatha Yang, Numan Afridi, Sarah Aguilar, Amelia Allison, Arden Ambrose‐Winters, Edwin Amescua, Mattias Apse, Nancy Avoce, Kirstin Bastin, Emily Bolander, Jessica Burroughs, Cristian Cabrera, Madeline Candy, Ariana Cavett, Melina Cavett, Lemuel Chang, Miles Claret, Delaney Coleman, Jacob Concha, Paxson Danzer, Joe DaRosa, Audrey Dufresne, Claire Duisenberg, Allyson Earl, Emily Eckey, Maddie English, Alexander Espejo, Erika Faith, Amy Fang, Alejandro Gamez, Jackelin Garcini, Julie Garcini, Giancarlo Gilbert‐Igelsrud, Kelly Goedde‐Matthews, Sarah Grahn, Paloma Guerra, Vanessa Guerra, Madison Hagedorn, Katie Hall, Griffin Hall, Jake Hammond, Cody Hargadon, Victoria Henley, Sarah Hinesley, Celeste Jacobs, Camille Johnson, Tattiana Johnson, Zachary Johnson, Emma Juchau, Celeste Kaplan, Andrew Katznelson, Ronja Keeley, Tatum Kubik, Theodore Lam, Chalinee Lansing, Andrea Lara, Vivian Le, Breana Lee, Kyra Lee, Maddy Lemmo, Scott Lucio, Angela Luo, Salman Malakzay, Luke Mangney, Joseph Martin, Wade Matern, Byron McConnell, Maya McHale, Giulia McIsaac, Carolanne McLennan, Stephanie Milbrodt, Mohammed Mohammed, Morgan Mooney‐McCarthy, Laura Morgan, Clare Mullin, Sarah Needles, Kayla Nunes, Fiona O'Keeffe, Olivia O'Keeffe, Geoffrey Osgood, Jessica Padilla, Sabina Padilla, Isabella Palacio, Verio Panelli, Kendal Paulson, Jace Pearson, Tate Perez, Brenda Phrakonekham, Iason Pitsillides, Alex Preisler, Nicholas Preisler, Hailey Ramirez, Sylvan Ransom, Camille Renaud, Tracy Rocha, Haley Saris, Ryan Schemrich, Lyla Schoenig, Sophia Sears, Anand Sharma, Jessica Siu, Maddie Spangler, Shaili Standefer, Kelly Strickland, Makaila Stritzel, Emily Talbert, Sage Taylor, Emma Thomsen, Katrina Toups, Kyle Tran, Hong Tran, Maraia Tuqiri, Sara Valdes, George VanVorhis, Sandy Vue, Shauna Wallace, Johnna Whipple, Paja Yang, Meg Ye, David Yo, Yichao Zeng

Publikováno v: Ecology and Evolution, Vol 12, Iss 7, Pp n/a-n/a (2022)

Abstract Seasonal windows of opportunity are intervals within a year that provide improved prospects for growth, survival, or reproduction. However, few studies have sufficient temporal resolution to examine how multiple factors combine to constrain

Externí odkaz: https://doaj.org/article/30b41b9052524e5dae7747450b6d01d2

Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment

Autor: Abdel-Rehim, Abbi, Zenil, Hector, Orhobor, Oghenejokpeme, Fisher, Marie, Collins, Ross J., Bourne, Elizabeth, Fearnley, Gareth W., Tate, Emma, Smith, Holly X., Soldatova, Larisa N., King, Ross D.

Large language models (LLMs) have transformed AI and achieved breakthrough performance on a wide range of tasks that require human intelligence. In science, perhaps the most interesting application of LLMs is for hypothesis formation. A feature of LL

Externí odkaz: http://arxiv.org/abs/2405.12258