The Mooshla Intrusive Complex (MIC) is an Archean, low-Al, polyphase tonalite-trondhjemite-quartz diorite-gabbroic magmatic body located in the Doyon-Bousquet-LaRonde mining camp of the Abitibi greenstone belt, Qu & eacute;bec, Canada. The MIC is spatially and temporally associated with numerous gold-rich volcanogenic massive sulfide (VMS), epizonal intrusion-related Au +/- Cu, and shear zone-hosted orogenic gold and/or remobilized VMS deposits. The igneous units are grouped into two distinct stages, the tholeiitic to transitional Mouska stage and the transitional to calc-alkaline Doyon stage. Using a combination of petrography, high-precision zircon U-Pb geochronology, accessory mineral thermometry, and zircon trace element compositions from the different phases comprising the MIC, this study provides new constraints on the pressure-temperature-time and compositional evolution of this magmatic system. The results demonstrate that individual phases crystallized over a relatively short time scale and likely in distinct magmas gestating (in chambers or during transcrustal migration) at deep levels within the crust (similar to 700-800 degrees C; similar to 0.5-0.9 GPa, 15-30 km), at slightly cooler and shallower conditions than expected tonalite-trondhjemite-granodiorite (TTG) magma generation. The entire intrusive complex formed over a maximum period of similar to 1.44 Ma, with the formation of the Mouska and Doyon stages overlapping within a similar to 1 Ma window. This indicates a rapid change in tectonic setting from a relatively mature back-arc rift- to arc-dominated environment, early in the magmatic evolution of the MIC magmas. Based on distinct zircon trace element ratios and ranges associated with individual MIC lithologies multiple, broadly coeval magma chambers were required at depth. Processes documented at the level of near-seafloor emplacement in this geological setting do not fully capture the duration and compositional complexity of deep crustal magmatic processes that can be directly involved in the magmatic contributions of metals to Au-rich VMS and intrusion-related deposit styles in the Doyon-Bousquet-LaRonde mining camp and other similar environments in Archean terranes.
Rangelands cover over 50% of the land surface area in the western United States, providing important economic, social, and environmental benefits. The resilience of western rangelands, however, is increasingly threatened by climate change impacts. Although climate skepticism among agricultural producers is often cited as a barrier to adaptation, emerging evidence suggests that producers adapt regardless of climate beliefs. This raises critical questions about the relationship between climate beliefs and adaptive behavior. To investigate this relationship, we conducted semistructured interviews with 23 ranchers in Idaho, Montana, and Oregon to examine how they perceive, experience, and adapt to climate change. We found that ranchers' understanding of climate change is more complex than a binary belief in or rejection of climate change. Most ranchers doubted anthropogenic climate change yet described detailed observations of a changing climate. Ranchers adopted a range of adaptation strategies but did not attribute these behaviors to climate change. We identified recurring themes, including climate politicization, regulatory fear and perceived powerlessness, and reframing of responsibility, that illustrate the sociopolitical context shaping these seemingly contradictory positions. Climate skepticism may function as a mechanism for managing dissonance, allowing ranchers to reconcile personal observations of environmental change with dominant community beliefs while preserving their personal identity. Our findings challenge binary framings of belief and behavior and highlight the need for culturally grounded climate communication strategies. We recommend investments in localized climate services, coproduced policies, and outreach that emphasize the cobenefits of adaptation and risk management while aligning with ranchers' values and identities. SIGNIFICANCE STATEMENT: Ranchers steward much of the working lands in the American West, making their decisions central to rangeland resilience under climate change. Our study examines how climate beliefs relate to adaptation and which social factors shape responses. Interviews conducted in Idaho, Montana, and Oregon show that while many ranchers doubt human-caused climate change, they describe shifting seasons and adapt in multiple ways. In practice, climate change adaptation often occurs independent of beliefs and is filtered through politicization, regulatory fear, and moral obligations of land stewardship; risk management is rarely ascribed to climate change. Our findings demonstrate that climate skepticism does not preclude action but instead reflects cultural and political pressures shaping how ranchers engage with climate change. Future research should examine which communication strategies and codesigned climate adaptation policies aligned with ranchers' values and identities can effectively sustain adaptation.
Objective: Promoting individual and family well-being and long and productive lives is one of the Grand Challenges for Social Work. Recent research has found that violent political rhetoric is associated with mass shootings, police shootings of civilians, and suicides. These findings suggest the possibility that violent political rhetoric may be associated with increased death rates due to nonsuicide, nonexternal causes, such as stress related diseases. This study is the first to investigate this possible relationship. Method: We conducted a secondary analysis of publicly available data. The dependent variable was nonsuicide-, nonexternal-cause death rates between 2011 and 2019 in the four U.S. Census Regions. Our panel analysis was robust to cross-panel correlations, heteroscedasticity, and autocorrelation. Results: Results showed a positive relationship between violent political rhetoric and nonsuicide-, nonexternal-cause death rates in the four Census Regions and that this relationship varied between Census Regions. Conclusions: Violent political rhetoric is a threat to individual and family well-being and long and productive lives in the United States. Implications for social work efforts to support and promote individual and family well-being in response to violent political rhetoric are considered.
Childhood sexual abuse is prevalent across various communities of different socio-demographic backgrounds. Although existing literature on adverse childhood experiences and childhood sexual abuse tends to focus on various races across the spectrum, Asian American adults are often underrepresented due to the cultural stigma associated with sexual abuse. The current study aims to investigate childhood sexual abuse, adverse childhood experiences, and alcohol use among Asian American adults belonging to different income and education levels. Participants and Setting: The current study used a secondary analysis of the 2021 Behavioral Risk Factor Surveillance System (BRFSS) survey conducted by the CDC. In 2021, BRFSS interviewed 438,693 individuals via phone. Of these, N = 12,546 individuals self-identified as Asians for the “preferred race.” The descriptives suggest that of the N = 12,546 Asian American adults (5.9
Research in neural generative models for dynamic networks is constantly evolving, and sophisticated solutions have been exploited to characterize the long-term evolution of temporal graphs. Despite the efforts in the literature, state-of-the-art models face the problem of handling changes in the graph structure by relying on prior knowledge, compromising the model’s flexibility. In this paper, we propose a graph-size invariant probabilistic generative model, named FuDGE , Fully Dynamic Graph Evolution, for predicting the graph evolution through step-wise changes in the graph structure. FuDGE can generate evolving graphs by exploring the whole node space, thus ensuring fast and effective generation. We evaluate FuDGE on real and synthetic benchmark datasets and compare its performance against state-of-the-art competitors. The results demonstrate that our approach offers a competitive advantage in generation and prediction quality compared to existing literature. The code is publicly available at https://github.com/FuDGE2023/fudge .
