Electroweak baryogenesis in the Z3-invariant NMSSM

We calculate the baryon asymmetry of the Universe in the Z3-invariant Next-to-Minimal Supersymmetric Standard Model where the interactions of the singlino provide the necessary source of charge and parity violation. Using the closed time path formalism, we derive and solve transport equations for the cases where the singlet acquires a vacuum expectation value (VEV) before and during the electroweak phase transition. We perform a detailed scan to show how the baryon asymmetry varies throughout the relevant parameter space. Our results show that the case where the singlet acquires a VEV during the electroweak phase transition typically generates a larger baryon asymmetry, although we expect that the case where the singlet acquires a VEV first is far more common for any model in which parameters unify at a high scale. Finally, we examine the dependence of the baryon asymmetry on the three-body interactions involving gauge singlets.Comment: 24 pages, version submitted to the journa

Quantifying the Offset of Greenhouse Gas Emissions at the University of North Alabama

This study quantified the discrete and areal carbon sequestration capacity of the University of North Alabama’s green infrastructure. USDA i-Tree was used to analyze and report on the carbon sequestration of 1487 campus trees, which provided -82.29 metric tons CO2 sequestration. Quantification of CO2 sequestered for 61 acres of undisturbed stands of native forest is -56.45 MT CO2. A summated sequestration capacity of UNA green infrastructure is estimated at -138.74 metric tons of CO2 per year. Sequestration capacity of the University of North Alabama’s green infrastructure is compared to their direct emissions for 2017. The scope I CO2e emissions from gasoline, diesel, and natural gas totaled 1,982.10 Metric tons. The offset capacity of UNA green infrastructure was estimated at 6.98% of UNA Scope I emissions, leaving a balance of 1,848.36 Metric tons of CO2e emission as UNA’s Scope I footprint

The association of metacognitive beliefs with emotional distress after diagnosis of cancer.

Objective: Emotional distress after a diagnosis of cancer is normal and, for most people, will diminish over time. However, a significant minority of patients with cancer experience persistent or recurrent symptoms of emotional distress for which they need help. A model developed in mental health, the self-regulatory executive function model (S-REF), specifies that maladaptive metacognitive beliefs and processes, including persistent worry, are key to understanding why such emotional problems persist. This cross-sectional study explored, for the first, time whether metacognitive beliefs were associated with emotional distress in a cancer population, and whether this relationship was mediated by worry, as predicted by the S-REF model. Method: Two hundred twenty-nine participants within 3 months of diagnosis of, and before treatment for, primary breast or prostate cancer completed self-report questionnaires measuring anxiety, depression, posttraumatic stress disorder (PTSD) symptoms, metacognitive beliefs, worry, and illness perceptions. Results: Regression analysis showed that metacognitive beliefs were associated with symptoms of anxiety, depression, and PTSD, and explained additional variance in these outcomes after controlling for age, gender, and illness perceptions. Structural equation modeling was consistent with cross-sectional hypotheses derived from the theory that metacognitive beliefs cause and maintain distress both directly and indirectly by driving worry. Conclusions: The findings provide promising first evidence that the S-REF model may be usefully applied in cancer. Further study is required to establish the predictive and clinical utility of these findings

Marketing research faces two challenges and a world of opportunity with long-term panel data

There have been frequent calls in the literature for a more comprehensive understanding of marketing impact on long-term firm performance (Dawes, Meyer-Waarden, & Driesener, 2015; Hanssens & Pauwels, 2016; Lodish & Mela, 2007; Webster & Lusch, 2013). Retail scanner data has been the principal source of empirical evidence in this strategic domain, but it cannot explain the behavioural shifts that underpin sales dynamics. Now that far larger extended household panels are available, there is, for the first time, a valuable behavioural lens with which to observe long-term brand and category buying. In this paper we outline theoretical and methodological challenges to this new type of panel research. The first concerns an approach to extending established marketing theory to long-run repeat buying; the second relates to the inherent constraints of long-term panels. We present a new research agenda to progress explanatory theories of long-run brand building and category growth in this new but largely untapped resource

Is Category Expansion a Realistic Long-Term Objective for Established Brands?

How often do established CPG categories expand following a period of stationarity? To what extent can the levers under manufacturer control bring about persistent growth in total category value? The authors explore these questions in order to test the commonly held assertion that brand leaders in established markets can grow sales by expanding total category demand. Findings from a study of US household panel data describing the purchasing of nearly 500 small and large categories by 60,000 households over a nine-year period are presented. The observations focus on the growth impact of three sales levers, category penetration, purchase volume per buyer, and price per volume paid, in various strategic windows ranging from one to nine years. The results demonstrate that category penetration increase is the most likely lever for category growth. The association between over-time revenue increase and growth in buying household numbers is far stronger than that between unit price increases or category usage. While this clearly indicates a promising strategic direction for brand management, results also carry a health warning: categories are relatively volatile in the short term, but highly stable over time, therefore while the direction is clear the path is very narrow indeed

Cyclone: A close air support aircraft for tomorrow

To meet the threat of the battlefield of the future, the U.S. ground forces will require reliable air support. To provide this support, future aircrews demand a versatile close air support aircraft capable of delivering ordinance during the day, night, or in adverse weather with pin-point accuracy. The Cyclone aircraft meets these requirements, packing the 'punch' necessary to clear the way for effective ground operations. Possessing anti-armor, missile, and precision bombing capability, the Cyclone will counter the threat into the 21st Century. Here, it is shown that the Cyclone is a realistic, economical answer to the demand for a capable close air support aircraft

A rising tide lifts all boats: the role of share and category changes in managing organic sales growth

The strategic objective of marketing activities is to drive business growth by promoting the firm’s products. Beyond merger and acquisition, organic growth can be targeted from two sources: Market Share Gain and Category Growth. Market share is often the focus for corporate objectives and used as a success measure. This research explores the relative impact of these two elements on firm growth across product category and addresses whether market share should be the main focus for all organisations. The study covers 39 consumer packaged goods’ categories from the UK and US, across 189 manufacturers over three to five years of data, post-2010. We show that firm growth through market share gain is likely to benefit small firms, and large firms’ growth is likely to be driven by category growth. The results provide empirical support in the area of business growth and how marketing plays a crucial role in this pursuit