New America

Advance care planning (ACP) is the process of discussing one's goals and wishes for end-of-life care with loved ones or clinicians and then completing an advance directive (AD). Our Community-Based Delivery Model (CBDM) has demonstrated success in engaging these communities, yet the implementation mechanisms behind its effectiveness remain unclear. This study utilized the Consolidated Framework for Implementation Research (CFIR) to evaluate the CBDM in the context of the Project Talk Trial (PTT), a national randomized controlled trial of ACP interventions. This study employed a two-pronged approach. First, CFIR was used to systematically map the CBDM, defining domains and constructs relevant to the intervention's implementation in diverse community contexts. Second, semi-structured interviews with 24 community hosts who facilitated PTT events provided qualitative insights into the "inner setting," "outer setting," and "implementation process" domains. Deductive coding and thematic analysis were used to identify key implementation strategies and challenges. The CFIR mapping revealed three critical features driving the CBDM's success: the transfer of resources between outer and inner settings, the central role of community hosts in bridging these domains, and the flexibility to adapt to local contexts. Semi-structured interviews identified five themes, including hosts' use of relational connections, teaming and engaging strategies, and culturally tailored approaches, which facilitated implementation. Notably, rural hosts exceeded recruitment goals, challenging the notion that rural populations are "hard to reach". This approach provides actionable insights for improving ACP efforts in communities settings. The integration of CFIR mapping and empirical data highlights the CBDM's potential as a scalable model for implementing community-engaged health interventions.

The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. This data can exhibit intricate geometric, topological and algebraic structure: from the geometry of the curvature of space-time, to topologically complex interactions between neurons in the brain, to the algebraic transformations describing symmetries of physical systems. Extracting knowledge from such non-Euclidean data necessitates a broader mathematical perspective. Echoing the 19th-century revolutions that gave rise to non-Euclidean geometry, an emerging line of research is redefining modern machine learning with non-Euclidean structures. Its goal: generalizing classical methods to unconventional data types with geometry, topology, and algebra. In this review, we provide an accessible gateway to this fast-growing field and propose a graphical taxonomy that integrates recent advances into an intuitive unified framework. We subsequently extract insights into current challenges and highlight exciting opportunities for future development in this field.

One fundamental question is the connection between electrical and gravitational forces. We present a quantum entanglement model, with multiple discrete electrically charged wave-packets, that simulates gravitational attraction among them, where quantum states can have only two wave-packets with opposite charge polarities, with equal absolute values, while the rest remain neutral, relating those charges to gravitational masses. We present a thought experiment where neutrons are displaced by electric fields above the Schwinger limit, predicting their maximum possible corresponding displacement magnitudes and diminishments in their gravitational masses (with increments elsewhere), estimating an upper bound for the gravitational mass of each of those entangled wave packets allegedly constituting those neutrons. Thus, the realization of the experiment could verify the predictions, but cannot necessarily falsify the model. The model's significance rests in hypothesizing entanglements in a classical mechanical property without violating the measurement independence postulate and in its possible applications for gravity simulations with quantum systems.

ABSTRACT It's an incredibly important moment to focus on work-family scholarship – and to consider research related to ‘just’ work and care in unsettling and challenging times. Against this backdrop, the 2022 WFRN theme was established. The conference gathered members from around the world toward building impactful scholarship for practices and policy. In this Voices piece, we draw upon WFRN presidential panelists' voices. The first plenary, ‘The Meanings of Work-Family Justice’, provided opportunities for panelists to consider different ways to conceptualize and expand this idea as labor markets, workplaces, and many aspects of people's lives are in flux, with new understandings about how to think expansively about creating ‘work-family justice’, The second plenary – ‘Work-Family Justice on the Ground’ – featured panelists from leading non-profits who discuss how they've met challenges and succeeded in implementing and building policies that create a more just world of work and care. They discuss barriers and some ideas for overcoming difficulties. We conclude by considering the evolving meanings and practices of work-family justice. In all, the voices presented here help us focus on creating more ‘just’ worlds of work and care – a distinct and vital – if sometimes precarious – possibility in this moment.

"New Americans" are individuals born outside of the United States (U.S.) who now live in the U.S., and their families. There are about 4.4 million new Americans in New York State. New Americans make up almost a quarter of New York's population. New Americans with intellectual and developmental disabilities (IDD) face barriers in accessing services. Disability services in New York include care management, employment, housing services, and more. Resources and information about IDD services are often not translated into other languages. There is limited outreach to inform new Americans about available services. New Americans with IDD may face barriers based on language or immigration status. IDD services usually lack adequate interpretation or document translation for new Americans. New Americans also reported facing long wait times. These barriers have led to challenges in access to IDD services for new Americans. Two New York agencies partnered to address this issue. The two agencies are the Developmental Disabilities Planning Council (DDPC) and the Office for New Americans (ONA). They created a navigator program called the Ramirez June Initiative. The Initiative is named after two new American families who shared their stories. This program helps new Americans know more about disability services through outreach. The Ramirez June Initiative helps new Americans with IDD better access critical resources. We recommend other states adopt this model in their efforts to help new Americans with IDD.

A novel 802.11ah transmitter for TV white space (TVWS) band devices is presented. To realize the transmitter meeting the stringent FCC and ETSI TVWS device emission limits for the adjacent channels and FCC restricted bands, a low noise and high linear class- AB voltage- to-current converter (V2I) as the mixer driver and a 2nd -order harmonic notch filter with the frequency tracking capability on the power amplifier (PA) load are newly proposed. The designed transmitter is implemented in a 40nm CMOS process as a part of the TVWS band 802.11ah connectivity System-on-Chip (SoC), and the measured results with the 802.11ah CBW4 signal show −55dBr and −58dBr Adjacent Channel Leakage Ratio (ACLR) at <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 3\mathbf{MHz}$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 20\mathbf{MHz}$</tex> frequency offset, respectively, and 60dB 2nd harmonic rejection for 470MHz ~ 790MHz TVWS bands. This transmitter is the first SoC level transmitter meeting the FCC and ETSI ACLR requirements.