From Community Engagement to Community Emergence: The Holistic Program Design Approach

University-community engagement has the potential to positively transform higher education, but community-engaged institutions must overcome challenges related to defining, planning, and assessing engagement activities. The 2015 Carnegie Community Engagement Classification application process and the results of the 2015 Campus Compact member survey revealed that there is room for improvement in engagement efforts within public and private institutions alike. The authors propose the holistic program design approach to curricular-based engagement as a new framework for building individual and institutional capacity. Utilizing interactional field theory, the framework shows how university-community engagement can promote the emergence or formation of community between a university and local participants. Curricular-based engagement experiences serve as venues for interaction in which students, faculty, and local residents communicate and work to address common, place-based needs. The authors provide operational definitions of university-community engagement and curricular-based engagement, describe a theoretical and philosophical rationale for engagement, and present a conceptual model of student and community development outcomes. They also highlight potential assessment metrics, address five recommendations of the Carnegie Foundation, and suggest directions for future research and development

Heavy Winter Patch Grazing as an Alternative to Prescribed Burning on the Northern Great Plains

Among management systems intended to increase heterogeneity on the landscape, patch burn grazing (PBG) is by far the most prominent and researched method. Though prescribed burning is seen as a healthy disturbance in grassland ecosystems, many landowners in the Northern Great Plains have an aversion to fire. This is due to safety and liability concerns as well as concerns over forage losses and limitations of labor, equipment, and insurance to successfully carry out prescribed burns. Therefore, there is a critical need to evaluate alternative, non-fire management strategies that will encourage rangeland heterogeneity. A study was conducted in 2017-2018 at the Cottonwood Field Station in southwest South Dakota to test the effectiveness of heavy winter patch grazing to simulate fire. The objectives of this study were to determine the extent to which WPG can serve as an alternative management strategy to patch burn grazing to 1) increase vegetation structural heterogeneity and 2) alter livestock grazing behavior to maintain structural heterogeneity through time

Classifying Livestock Grazing Behavior with the Use of a Low Cost GPS and Accelerometer

The ability to remotely track livestock through the use of GPS technology has tremendous potential to study livestock use patterns on the landscape. The use of high frequency accelerometers may give researchers and managers the ability to accurately partition GPS points into differing behaviors, giving further insight into livestock grazing selection, pasture use, and changes in forage preference through time. The objectives of this study were to 1) develop a classification algorithm to discriminate between graze and non-graze behaviors using a combination of metrics derived from a high frequency accelerometer motion sensor and a GPS data logger and 2) assess the accuracy of the classification algorithm using model error rates and expectant livestock behavior patterns

Grazing Behavior, Forage Quality, and Intake Rates of Livestock Grazing Pastures Occupied by Prairie Dogs

Prairie dogs can reduce the carrying capacity on rangelands by up to 50% through direct consumption of vegetation and by clipping plants to improve predator detection. Studies have shown that forage quality and digestibility are greater on prairie dog towns than off-town, however research is lacking that quantifies rates of forage and nutrition intake by cattle grazing pastures occupied by prairie dogs. The objectives of this study were to 1) evaluate relationships between on- and off-town plant communities and cattle grazing locations to identify trends in livestock grazing behavior throughout the growing season, 2) evaluate diet nutrient composition and intake by cattle on plant communities on- and off-town over the grazing season, and 3) study livestock performance in response to level of prairie dog occupation within the pastures

To Ban or Not to Ban: Foreign Lobbying and Cross National Externalities

This paper studies the costs and benefits of foreign lobbying. We show how and when foreign lobbying can help internalize cross national externalities. We argue that this is an often overlooked benefit of foreign lobbying. We also study under what conditions a constitutional rule banning foreign lobbying is in the national interest of a country. A key factor in this calculus is whether the interests of foreign lobby groups and domestic unorganized groups coincide or not. We illustrate the logic with examples from trade policy and environmental regulation

Using Precision Technology to Measure Cattle Methane Emissions and Intake on Western South Dakota Rangelands

Study Description: Cattle DMI is an essential component of calculating cattle stocking rates, determining nutrient requirements, and evaluating feed efficiency. Cattle DMI and digestion of forages impact enteric greenhouse gas (GHG) emissions; a major public and environmental concern. Increased GHG levels indicate energy loss during the rumen fermentation process. Obtaining data for rangeland cattle DMI and GHG emissions is needed to understand and enhance individual animal performance and reduce negative environmental impacts. We will develop enteric emissions and DMI relationships by conducting three feeding trials using the GreenFeed and SmartFeed Pro (C-Lock Inc. Rapid City, SD). The GreenFeed will measure real-time gas fluxes and the SmartFeed Pro will measure daily intake by calculating disappearance from the feeder. The three feeding trials will consist of dry beef cows (n = 12) receiving low, high, and intermediate quality forages treatments with a 15 day adjustment period and a 15 day period of collection. Using these data, regression, artificial neural network, and dynamic-mechanistic models will develop and assessed to identify a model that accurately and precisely predicts forage DMI for dry beef cows on pasture

The genetic basis for adaptation of model-designed syntrophic co-cultures.

Understanding the fundamental characteristics of microbial communities could have far reaching implications for human health and applied biotechnology. Despite this, much is still unknown regarding the genetic basis and evolutionary strategies underlying the formation of viable synthetic communities. By pairing auxotrophic mutants in co-culture, it has been demonstrated that viable nascent E. coli communities can be established where the mutant strains are metabolically coupled. A novel algorithm, OptAux, was constructed to design 61 unique multi-knockout E. coli auxotrophic strains that require significant metabolite uptake to grow. These predicted knockouts included a diverse set of novel non-specific auxotrophs that result from inhibition of major biosynthetic subsystems. Three OptAux predicted non-specific auxotrophic strains-with diverse metabolic deficiencies-were co-cultured with an L-histidine auxotroph and optimized via adaptive laboratory evolution (ALE). Time-course sequencing revealed the genetic changes employed by each strain to achieve higher community growth rates and provided insight into mechanisms for adapting to the syntrophic niche. A community model of metabolism and gene expression was utilized to predict the relative community composition and fundamental characteristics of the evolved communities. This work presents new insight into the genetic strategies underlying viable nascent community formation and a cutting-edge computational method to elucidate metabolic changes that empower the creation of cooperative communities

Critical changes in hypothalamic gene networks in response to pancreatic cancer as found by single-cell RNA sequencing

OBJECTIVE: Cancer cachexia is a devastating chronic condition characterized by involuntary weight loss, muscle wasting, abnormal fat metabolism, anorexia, and fatigue. However, the molecular mechanisms underlying this syndrome remain poorly understood. In particular, the hypothalamus may play a central role in cachexia, given that it has direct access to peripheral signals because of its anatomical location and attenuated blood–brain barrier. Furthermore, this region has a critical role in regulating appetite and metabolism. METHODS: To provide a detailed analysis of the hypothalamic response to cachexia, we performed single-cell RNA-seq combined with RNA-seq of the medial basal hypothalamus (MBH) in a mouse model for pancreatic cancer. RESULTS: We found many cell type-specific changes, such as inflamed endothelial cells, stressed oligodendrocyes and both inflammatory and moderating microglia. Lcn2, a newly discovered hunger suppressing hormone, was the highest induced gene. Interestingly, cerebral treatment with LCN2 not only induced many of the observed molecular changes in cachexia but also affected gene expression in food-intake decreasing POMC neurons. In addition, we found that many of the cachexia-induced molecular changes found in the hypothalamus mimic those at the primary tumor site. CONCLUSION: Our data reveal that multiple cell types in the MBH are affected by tumor-derived factors or host factors that are induced by tumor growth, leading to a marked change in the microenvironment of neurons critical for behavioral, metabolic, and neuroendocrine outputs dysregulated during cachexia. The mechanistic insights provided in this study explain many of the clinical features of cachexia and will be useful for future therapeutic development

Exogenous expression of a dominant negative RORa1 vector in muscle cells impairs differentiation: RORa1 directly interacts with p300 and MyoD

ROR/RZR is an orphan nuclear receptor that has no known ligand in the 'classical sense'. In the present study we demonstrate that RORalpha is constitutively expressed during the differentiation of proliferating myoblasts to post-mitotic multinucleated myotubes, that have acquired a contractile phenotype. Exogenous expression of dominant negative RORalpha1DeltaE mRNA in myogenic cells significantly reduces the endogenous expression of RORalpha1 mRNA, represses the accumu-lation and delays the activation of mRNAs encoding MyoD and myogenin [the muscle-specific basic helix-loop-helix (bHLH) proteins] and p21(Waf- 1/Cip-1) (a cdk inhibitor). Immunohistochemistry demonstrates that morpho-logical differentiation is delayed in cells expressing the RORDeltaE transcript. Furthermore, the size and development of mutlinucleated myotubes is impaired. The E region of RORalpha1 interacts with p300, a cofactor that functions as a coactivator in nuclear receptor and MyoD-mediated transactivation. Consistent with the functional role of RORalpha1 in myogenesis, we observed that RORalpha1 directly interacts with the bHLH protein MyoD. This interaction was mediated by the N-terminal activation domain of the bHLH protein, MyoD, and the RORalpha1 DNA binding domain/C region. Furthermore, we demonstrated that p300, RORalpha1 and MyoD interact in a non- competitive manner. In conclusion, this study provides evidence for a biological role and positive influence of RORalpha1 in the cascade of events involved in the activation of myogenic-specific markers and cell cycle regulators and suggests that crosstalk between theretinoid- relatedorphan (ROR) nuclear receptors and the myogenic bHLH proteins has functional consequences for differentiation