What Makes Things Cool? How Autonomy Influences Perceptions of Coolness

We propose that the extent of autonomy from mainstream society influences the extent to which people and brands are considered cool. In three experiments we illustrate how the amount of autonomy considered cool differs across consumers and explore when consumers will be more likely to prefer cool brands

Brand Coolness

Marketers strive to create cool brands, but the literature does not offer a blueprint for what “brand coolness” means or what features characterize cool brands. This research uses a mixed-methods approach to conceptualize brand coolness and identify a set of characteristics typically associated with cool brands. Focus groups, depth interviews, and an essay study indicate that cool brands are perceived to be extraordinary, aesthetically appealing, energetic, high status, rebellious, original, authentic, subcultural, iconic, and popular. In nine quantitative studies (surveys and experiments), the authors develop scale items to reliably measure the component characteristics of brand coolness; show that brand coolness influences important outcome variables, including consumers’ attitudes toward, satisfaction with, intentions to talk about, and willingness to pay for the brand; and demonstrate how cool brands change over time. At first, most brands become cool to a small niche, at which point they are perceived to be more subcultural, rebellious, authentic, and original. Over time, some cool brands become adopted by the masses, at which point they are perceived to be more popular and iconic.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms

We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms ( SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds ( a broiler, a layer and a Chinese silkie) with that of their wild ancestor, red jungle fowl. Subsequent experiments indicate that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds. Mean nucleotide diversity is about five SNPs per kilobase for almost every possible comparison between red jungle fowl and domestic lines, between two different domestic lines, and within domestic lines - in contrast to the notion that domestic animals are highly inbred relative to their wild ancestors. In fact, most of the SNPs originated before domestication, and there is little evidence of selective sweeps for adaptive alleles on length scales greater than 100 kilobases

The Science of Open Spaces: Theory and Practice for Conserving Large, Complex Systems. Charles G. Curtin.

The phrase “open spaces,” may bring to mind expansive tracts of prairie, rangeland, or even desert, stretching lonely and unchanged to the horizon. Open spaces also could conjure open oceans or interstitial rural lands between urbanized hubs, dotted with farms, fields, and woodlands. In an abstract sense, open spaces could represent gaps in human understanding or blank spaces on a map. In his book The Science of Open Spaces, landscape ecologist Charles Curtin combines all these perspectives, expanding the definition of “open spaces” to multi-layered and multi-scaled complex systems that are “greater than the sum of their parts.” He populates these vastnesses with the diversity of species, hierarchy of biotic and abiotic interactions, and human social elements that comprise and link open spaces together as social-ecological systems. The Science of Open Spaces provides readers with a roadmap to 21st century land management, where the stakes are high, collaboration is crucial, and profound uncertainty in the face of the complexity often hampers decision-making

Ion Implantation-Induced Plastic Phenomena in Metallic Alloys

Ion implantation is widely used for doping semiconductors or electroceramic materials and probing material behaviors in extreme radiation environments. However, implanted ions can induce compressive stresses into the host material, which can induce plasticity and mesoscopic deformation. However, these phenomena have almost exclusively been observed in brittle ionic and/or covalently bonded materials. Here, we present transmission electron microscopy observations of unusual implantation-induced plasticity in two metallic alloys. First, Fe2+ ions induce dislocation plasticity below the implanted layer in a model Fe-P alloy. Next, He+ ions form pressurized cavities which activate the fcc-to-hcp strain-induced martensitic transformation in Alloy 625. In both cases, the plasticity can be explained by a combination of implanted ions being incorporated into the lattice and the creation of irradiation defects. These findings have significant implications for mechanical testing of ion-implanted layers, while also opening pathways for using ion implantation to tune stress distributions in metallic alloys

IR Sounder Small Satellite for Polar Orbit Weather Measurements

The National Environmental Satellite, Data, and Information Service (NESDIS) acquires and manages the Nation\u27s operational environmental satellites. NESDIS environmental satellite observations support a variety of civil and military environmental monitoring missions, including weather and climate prediction. A key input to weather forecast and climate models are atmospheric sounder observations from polar-orbiting satellites. These satellites are traditionally large, complex, and expensive, and take several years to design and build. The community must look for ways to reduce the cost and complexity of environmental satellites while meeting weather and climate sensing needs. This paper describes a new IR sounder concept that significantly reduces the size, mass, complexity, and consequent costs. This is accomplished through higher spectral resolution and the use of new large-area focal plane arrays, combined with novel dispersive optical design. In this design, one spectrometer with one FPA is required to perform both temperature and humidity sounding by imaging both bands onto the same FPA with an order sorting filter to separate the two bands. This paper details the design of the sensor and validation of sensor noise performance. Additionally, a thermal and spacecraft design are discussed to show the feasibility of a small-satellite scale instrument

Corrigendum to Comparing Structure-Property Evolution for PM-HIP and Forged Alloy 625 Irradiated with Neutrons to 1dpa [Mater. Sci. Eng. A (2022) 144058]

The authors regret that after publication, they discovered that the dislocation loop number density was undercounted by a factor of 100 for both the PM-HIP and forged specimens. While this does not change the original major conclusions, this necessitates a change in the results presentation (Sections 3.2 and 4.1) and calculated hardening (Table 3, Fig. 5). Corrections to these affected sections are provided in this corrigendum

Measurements of the pp → ZZ production cross section and the Z → 4ℓ branching fraction, and constraints on anomalous triple gauge couplings at √s = 13 TeV

Four-lepton production in proton-proton collisions, pp -> (Z/gamma*)(Z/gamma*) -> 4l, where l = e or mu, is studied at a center-of-mass energy of 13 TeV with the CMS detector at the LHC. The data sample corresponds to an integrated luminosity of 35.9 fb(-1). The ZZ production cross section, sigma(pp -> ZZ) = 17.2 +/- 0.5 (stat) +/- 0.7 (syst) +/- 0.4 (theo) +/- 0.4 (lumi) pb, measured using events with two opposite-sign, same-flavor lepton pairs produced in the mass region 60 4l) = 4.83(-0.22)(+0.23) (stat)(-0.29)(+0.32) (syst) +/- 0.08 (theo) +/- 0.12(lumi) x 10(-6) for events with a four-lepton invariant mass in the range 80 4GeV for all opposite-sign, same-flavor lepton pairs. The results agree with standard model predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous ZZZ and ZZ. couplings at 95% confidence level: -0.0012 < f(4)(Z) < 0.0010, -0.0010 < f(5)(Z) < 0.0013, -0.0012 < f(4)(gamma) < 0.0013, -0.0012 < f(5)(gamma) < 0.0013