A National Perspective on Women Owning Woodlands (WOW) Networks

This article provides a national overview of women owning woodlands (WOW) networks and the barriers and successes they encounter. Qualitative interview data with key network leaders were used for increasing understanding of how these networks operate. Network leaders were all connected professionally, and all successful WOW networks involved partnerships between universities and local or regional nonprofits and state agencies. WOW networks face recruitment challenges similar to those faced by woodland owner associations, but Extension efforts and peer-to-peer learning opportunities can lead to comfortable and welcoming environments in which women can learn more about their woodland management options

Michigan Conifer Growers’ Perspectives on Disease Management

A survey of commercial nursery and Christmas tree growers was implemented online and by mail in 2018 to understand disease issues and information preferences. Overall, the majority of the respondents reported that they prefer online sources of information and many are using Extension bulletins and sources. Cultural, chemical, and weed control methods were considered extremely effective by participants and very few used biological control methods to control disease. Participants identified spruce decline, boxwood blight, and hemlock woolly adelgid as emerging disease threats, so future information to growers should focus on identification and management of these threats

Non-Abelian braiding of graph vertices in a superconducting processor

Indistinguishability of particles is a fundamental principle of quantum mechanics. For all elementary and quasiparticles observed to date - including fermions, bosons, and Abelian anyons - this principle guarantees that the braiding of identical particles leaves the system unchanged. However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotations in a space of topologically degenerate wavefunctions. Hence, it can change the observables of the system without violating the principle of indistinguishability. Despite the well developed mathematical description of non-Abelian anyons and numerous theoretical proposals, the experimental observation of their exchange statistics has remained elusive for decades. Controllable many-body quantum states generated on quantum processors offer another path for exploring these fundamental phenomena. While efforts on conventional solid-state platforms typically involve Hamiltonian dynamics of quasi-particles, superconducting quantum processors allow for directly manipulating the many-body wavefunction via unitary gates. Building on predictions that stabilizer codes can host projective non-Abelian Ising anyons, we implement a generalized stabilizer code and unitary protocol to create and braid them. This allows us to experimentally verify the fusion rules of the anyons and braid them to realize their statistics. We then study the prospect of employing the anyons for quantum computation and utilize braiding to create an entangled state of anyons encoding three logical qubits. Our work provides new insights about non-Abelian braiding and - through the future inclusion of error correction to achieve topological protection - could open a path toward fault-tolerant quantum computing

Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk

Funder: Funding details are provided in the Supplementary MaterialAbstractPolygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally-efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, “select and shrink for summary statistics” (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestry; 7,669 women of East Asian ancestry; 1,072 women of African ancestry, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestry. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38(95%CI:1.28–1.48,AUC:0.588) per unit standard deviation, in women of European ancestry; 1.14(95%CI:1.08–1.19,AUC:0.538) in women of East Asian ancestry; 1.38(95%CI:1.21-1.58,AUC:0.593) in women of African ancestry; hazard ratios of 1.37(95%CI:1.30–1.44,AUC:0.592) in BRCA1 pathogenic variant carriers and 1.51(95%CI:1.36-1.67,AUC:0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.</jats:p

Replication Data for: Hierarchical Bayesian models for small area estimation of county-level private forest landowner population

files containing R data image and associated scripts for running small area estimation models of the number of private forest ownerships at the county-level for Montana and New Jerse

Increasing the effectiveness of participatory scenario development through codesign

Developing scenarios to explore possible environmental futures is a widely used tool in social-ecological research. Scenario planners working in environmental systems increasingly enlist stakeholders to help develop scenarios, but effectively integrating stakeholder participation with scenario analyses and modeling remains a challenge. Using the New England Landscape Futures project as a case study, we explore how a method for codesigning a scenario elicitation process can be used to help balance the needs of both stakeholders and scientists. To illustrate the design process, we document eight influential decisions made with stakeholder input, describe the competing demands that we negotiated, and outline the rationale for the selected approach. We find that three priorities drove most of our decisions: maximizing stakeholder involvement in the scenario development process, efficient use of stakeholder time, and research needs. The outcome was a robust, intense, and highly structured one-day scenario development protocol that engaged stakeholders in the full scenario development process from initial orientation and identification of driving forces through to fleshed-out scenarios narratives and quantitative inputs able to inform land-use simulations. Its deployment in six state-specific workshops was successful in eliciting divergent scenarios that stakeholders perceived as being plausible and relevant. Stakeholder responses to the process were positive, though also reflected the compromises made during the codesign process. Research needs were largely met, though initial expectations likely exceeded what could reasonably be elicited from a stakeholder group in one day. Our experiences highlight the importance of process design and how selection of scenario development techniques should follow from the project objectives, problem context, and stakeholder preferences for engagement activities. The use of a codesign framework that recognizes the challenges involved and engages stakeholders in the design process can act as a shared learning experience and contribute to greater effectiveness and impact for participatory social-ecological scenario processes