Chiral effective field theory beyond the power-counting regime

Novel techniques are presented, which identify the chiral power-counting regime (PCR), and realize the existence of an intrinsic energy scale embedded in lattice QCD results that extend outside the PCR. The nucleon mass is considered as a benchmark for illustrating this new approach. Using finite-range regularization, an optimal regularization scale can be extracted from lattice simulation results by analyzing the renormalization of the low energy coefficients. The optimal scale allows a description of lattice simulation results that extend beyond the PCR by quantifying and thus handling any scheme-dependence. Preliminary results for the nucleon magnetic moment are also examined, and a consistent optimal regularization scale is obtained. This indicates the existence of an intrinsic scale corresponding to the finite size of the source of the pion cloud.Comment: 6 pages, 4 figures, conferenc

Promoting Responsible Gambling through Creative Advertising: Developing an Intervention Effectiveness Scale

Abstract Although somewhat controversially grounded, the notion of responsible gambling (RG) subsumes some level of consumer protection (harm-minimization) through restriction of a gambler’s expenditure of time and money to affordable limits (Breen et al., 2005). With RG believed to protect industry interests, Livingstone and Rintoul (2020) argue for a new discourse. We believe creative advertising messaging as a means of preventing and minimizing harm can influence RG. Hence, understanding what makes an effective RG advertising message and determining criteria to assess that effectiveness are critical. Advertising effectiveness includes attention, recall, and behavioral intentions. This presentation focuses on the pressing need for a valid and reliable measure (RG-IES) to examine the relationship between RG messages and effectiveness. We define RG-IES as how well an RG message engages the gambler’s cognitive, emotional, and motivational faculties to increase their likelihood of evaluating individual play duration and intensity. RG-IES has four-dimensions: attention, attitudes, subjective norms and perceived behavioral control (PBC). Attention to advertising is necessary for ad effectiveness, and allows consumers to form cognitive, affective, and behavioral responses (Olney et al., 1991); this forms the basis of attitudes. Subjective norms reflect perceived opinions of referent others; PBC indicates consumers’ individual beliefs they can control their behaviors. Implications An effective RG message will enhance how gamers think, feel and consider the space and issues around them in a new light. Effective RG interventions can influence behavioral beliefs about the consequences of problem gambling, normative beliefs about how others perceive problem gambling; and PBC, by reminding gamblers they control their own gambling decisions. REFERENCES Breen, H., Buultjens, J., & Hing, N. (2005). Evaluating implementation of a voluntary responsible gambling code in Queensland, Australia. International Journal of Mental Health and Addiction, 3, 15–25. Livingstone, Charles, and Angela Rintoul (2020). Moving on from responsible gambling: a new discourse is needed to prevent and minimise harm from gambling. Public Health 184,107-112. Olney, T. J., Holbrook, M. B., & Batra, R. (1991). Consumer responses to advertising: The effects of ad content, emotions, and attitude toward the ad on viewing time. Journal of Consumer Research, 17(4), 440-453

Calling Their Bluff: Misplaced Loyalty is a Problem for Gamblers

Abstract Due to the ubiquity of casinos, both brick and mortar and online, problem gambling has emerged as a significant public health issue. It is estimated that 30% - 50% of all casino revenues are generated from problem gamblers who tend to be disproportionately male, young, and minority group members (Welte et al. 2014). Although prior research has examined the mediating role of gambling behaviors in the relationship between casino marketing strategies and problem gambling, it is not clear what role casino loyalty programs play in predicting problem gambling, particularly in underserved and minority populations. Prentice & Wong (2016) examined the mediating role of gambling behaviors in the relationship between casino marketing strategies and problem gambling. Their findings indicate that loyalty programs were not significantly related to problem gambling despite the fact that only customer loyalty was conceptualized to have an effect on problem gambling. So, what role do casino loyalty programs play in predicting problem gambling? The objective of this study is to bridge the identified theoretical gap and examine casino loyalty programs through the normative framework of the “integrative justice model’” (Santos & Laczniak 2009). Specifically, this presentation will discuss the aims and importance of (1) explaining the influence of casino loyalty programs in the relationship between ease of access and problem gambling; and (2) uncovering the impact of casino loyalty programs in the context of an underserved population. Implications Casino loyalty programs are unstudied within the context of problem gambling. Marketing’s role as both a contributor to the problem and as a force in its alleviation is a complex one. Existing customer loyalty programs may need to be modified to reduce disproportionate harm to underserved and minority populations. References Prentice, C., & Wong, I. A. (2016). Embracing or fighting the urge: A multilevel investigation on casino service, branding and impulsive gambling. International Journal of Hospitality Management, 56, 109‐118. Santos, N., & Laczniak, G. (2009). Marketing to the poor: An integratie justice model for engaging impoverished market segments. Journal of Public Policy & Marketing, 28(1), 3-15. Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., et al. (2015). Gambling and problem gambling in the United States: Changes between 1999 and 2013. Journal of Gambling Studies, 31, 695-715

Lattice QCD Evidence that the Lambda(1405) Resonance is an Antikaon-Nucleon Molecule

For almost 50 years the structure of the Lambda(1405) resonance has been a mystery. Even though it contains a heavy strange quark and has odd parity, its mass is lower than any other excited spin-1/2 baryon. Dalitz and co-workers speculated that it might be a molecular state of an antikaon bound to a nucleon. However, a standard quark-model structure is also admissible. Although the intervening years have seen considerable effort, there has been no convincing resolution. Here we present a new lattice QCD simulation showing that the strange magnetic form factor of the Lambda(1405) vanishes, signaling the formation of an antikaon-nucleon molecule. Together with a Hamiltonian effective-field-theory model analysis of the lattice QCD energy levels, this strongly suggests that the structure is dominated by a bound antikaon-nucleon component. This result clarifies that not all states occurring in nature can be described within a simple quark model framework and points to the existence of exotic molecular meson-nucleon bound states.Comment: Manuscript accepted for publication. 4 figures, 5 page

Comparing different contour methods with response-based methods for extreme ship response analysis

Environmental contours are often applied in probabilistic structural reliability analysis to identify extreme environmental conditions that may give rise to extreme loads and responses. They facilitate approximate long term analysis of critical structural responses in situations where computationally heavy and time-consuming response calculations makes full long-term analysis infeasible. The environmental contour method identifies extreme environmental conditions that are expected to give rise to extreme structural response of marine structures. The extreme responses can then be estimated by performing response calculations for environmental conditions along the contours. Response-based analysis is an alternative, where extreme value analysis is performed on the actual response rather than on the environmental conditions. For complex structures, this is often not practical due to computationally heavy response calculations. However, by establishing statistical emulators of the response, using machine learning techniques, one may obtain long time-series of the structural response and use this to estimate extreme responses. In this paper, various contour methods will be compared to response-based estimation of extreme vertical bending moment for a tanker. A response emulator based on Gaussian processes regression with adaptive sampling has been established based on response calculations from a hydrodynamic model. Long time-series of sea-state parameters such as significant wave height and wave period are used to construct N-year environmental contours and the extreme N-year response is estimated from numerical calculations for identified sea states. At the same time, the response emulator is applied on the time series to provide long time-series of structural response, in this case vertical bending moment of a tanker. Extreme value analysis is then performed directly on the responses to estimate the N-year extreme response. The results from either method will then be compared, and it is possible to evaluate the accuracy of the environmental contour method in estimating the response. Moreover, different contour methods will be compared

Pennsylvania Folklife Vol. 34, No. 2

• A Fiddler\u27s Life • An Interpretation of Some Ritual and Food Elements of the Brethren Love Feast • Pottery Making in Quakertown: 1800-1879 • Teddy Bears: An Enduring Folk Tradition • Lucia Day • Dippy, Son of Puddin\u27 • Persecution and Genocide: The General Problem as Illustrated by the Anabaptist Experiencehttps://digitalcommons.ursinus.edu/pafolklifemag/1106/thumbnail.jp

Impact of the SPOP Mutant Subtype on the Interpretation of Clinical Parameters in Prostate Cancer.

Purpose: Molecular characterization of prostate cancer, including The Cancer Genome Atlas, has revealed distinct subtypes with underlying genomic alterations. One of these core subtypes, SPOP (speckle-type POZ protein) mutant prostate cancer, has previously only been identifiable via DNA sequencing, which has made the impact on prognosis and routinely used risk stratification parameters unclear. Methods: We have developed a novel gene expression signature, classifier (Subclass Predictor Based on Transcriptional Data), and decision tree to predict the SPOP mutant subclass from RNA gene expression data and classify common prostate cancer molecular subtypes. We then validated and further interrogated the association of prostate cancer molecular subtypes with pathologic and clinical outcomes in retrospective and prospective cohorts of 8,158 patients. Results: The subclass predictor based on transcriptional data model showed high sensitivity and specificity in multiple cohorts across both RNA sequencing and microarray gene expression platforms. We predicted approximately 8% to 9% of cases to be SPOP mutant from both retrospective and prospective cohorts. We found that the SPOP mutant subclass was associated with lower frequency of positive margins, extraprostatic extension, and seminal vesicle invasion at prostatectomy; however, SPOP mutant cancers were associated with higher pretreatment serum prostate-specific antigen (PSA). The association between SPOP mutant status and higher PSA level was validated in three independent cohorts. Despite high pretreatment PSA, the SPOP mutant subtype was associated with a favorable prognosis with improved metastasis-free survival, particularly in patients with high-risk preoperative PSA levels. Conclusion: Using a novel gene expression model and a decision tree algorithm to define prostate cancer molecular subclasses, we found that the SPOP mutant subclass is associated with higher preoperative PSA, less adverse pathologic features, and favorable prognosis. These findings suggest a paradigm in which the interpretation of common risk stratification parameters, particularly PSA, may be influenced by the underlying molecular subtype of prostate cancer

Seasonal water storage and release dynamics of bofedal wetlands in the Central Andes

Tropical high-Andean wetlands, locally known as ‘bofedales’, are key ecosystems sustaining biodiversity, carbon sequestration, water provision and livestock farming. Bofedales' contribution to dry season baseflows and sustaining water quality is crucial for downstream water security. The sensitivity of bofedales to climatic and anthropogenic disturbances is therefore of growing concern for watershed management. This study aims to understand seasonal water storage and release characteristics of bofedales by combining remote sensing analysis and ground-based monitoring for the wet and dry seasons of late 2019 to early 2021, using the glacierised Vilcanota-Urubamba basin (Southern Peru) as a case study. A network of five ultrasound loggers was installed to obtain discharge and water table data from bofedal sites across two headwater catchments. The seasonal extent of bofedales was mapped by applying a supervised machine learning model using Random Forest on imagery from Sentinel-2 and NASADEM. We identified high seasonal variability in bofedal area with a total of 3.5% and 10.6% of each catchment area, respectively, at the end of the dry season (2020), which increased to 15.1% and 16.9%, respectively, at the end of the following wet season (2021). The hydrological observations and bofedal maps were combined into a hydrological conceptual model to estimate the storage and release characteristics of the bofedales, and their contribution to runoff at the catchment scale. Estimated lag times between 1 and 32 days indicate a prolonged bofedal flow contribution throughout the dry season (about 74% of total flow). Thus, our results suggest that bofedales provide substantial contribution to dry season baseflow, water flow regulation and storage. These findings highlight the importance of including bofedales in local water management strategies and adaptation interventions including nature-based solutions that seek to support long-term water security in seasonally dry and rapidly changing Andean catchments