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Small sounds, big impact: sonic logos and their effect on consumer attitudes, emotions, brands and advertising placement
No full textPurpose: The purpose of this paper is to show how sonic logos, despite their brief exposure time, resonate with consumers’ emotions and attitudes in a manner that until now has been attributed to only longer background music in advertising. The moderating role of sonic logo placement within the ad (beginning versus ending) and the mediating role of emotion felt after exposure to the brand and advertisement are also explored. Design/methodology/approach: An expansion on sonic logo research is completed through two experiments testing nine hypotheses. A pretest is also conducted to create two orthogonal sonic logos (sad sonic logo and happy sonic logo) which are then used in the two experiments. Findings: Participants had higher attitude scores for an advertisement that had a happy sonic logo over the ad that had a sad sonic logo. These consumer attitudes are mediated by emotion felt because of the exposure to the brand and advertisement and are moderated by placement of the sonic logo within the ad. Placement drove more positive consumer attitudes of a sad sonic logo at the beginning and a happy sonic logo at the end of the advertisement. Practical implications: Given the short nature of a sonic logo, sonic logo placement in the advertisement is shown to change consumer perceptions. This effect uncovers an important aspect of placement of the sonic logo in the advertisement which gives practitioners a means of application. Furthermore, consumer emotions drive these strong attitudes despite the short exposure times of the sonic logo. Originality/value: This paper expands upon the limited sonic logo research and shows how the short exposure time of a sonic logo can have the same emotional qualities as long-form music, previously reserved for background music in advertising. In addition, by uncovering the mediating relationship of emotion felt after exposure to the brand and advertisement, it is shown how these short audio branding elements can help shape emotion and consumer attitude toward brands. Finally, altering placement of the sonic logo can enhance consumer attitudes of the advertisement and brand
An exhibition: One American Family: A Tale of North and South
No full textThe exhibition One American Family: A Tale of North and South was the culmination of a multi-year project that began with a graduate student’s examination of three quilt tops that once belonged to a family that had donated over 500 objects to the University of Rhode Island’s Historic Textile and Costume Collection. This family, which had deep roots in New England, became intertwined through marriage with a family from Charleston, South Carolina. The student, Rachel May, a doctoral candidate in English, became so enamoured of the quilt tops, two related swatch books and the story behind the artefacts that she continued her research for several years, finally publishing a book in 2018 titled An American Quilt: Unfolding a Story of Family and Slavery. The book is based on documentary research, but imagines the lives of the quiltmaker, her family and the enslaved people she came to own during the antebellum period. To commemorate the publication of the book, the university sponsored an exhibition and several educa-tional events. A graduate-level class ‘Exhibition and storage of historic textiles’ tackled the problem of how to separate the documentary evidence from the book’s fictionalized narrative, and to visualize that evidence using the artefacts in the Historic Textile and Costume Collection
Make Time for Movement: 5-Minute Exercise Breaks in the Classroom
Get PDFPicture yourself back in elementary school. Have you ever struggled to finish an assignment no matter how hard you tried? You may have felt antsy, unfocused, or completely exhausted from the constant thinking and brain power it takes to complete a full six hour school day. What could you have done to regain focus and energy to continue learning? An exercise break! As an Elementary Education major and certified Group Exercise fitness instructor, I aspire to combine my passion for teaching and fitness by bringing exercise into the classroom. For my project, I have designed 5-minute movement breaks that follow a structural pattern of exercises I believe benefit all students. These breaks include one cardio exercise, one strength exercise, and one balance pose and/or mindful breathing moment before students sit back down to continue their schoolwork. In the fourth-grade classroom I currently teach in, I monitor student focus and energy level so that when I observe sleepy, chatty, or unengaged students, we drop everything and move! The results are astonishing as more students are smiling, relaxed, sweating, and ready to learn.
In my practicum and student teaching experiences in a range of classrooms throughout Rhode Island, I have witnessed students who struggle with stress, anxiety, depression, and/or obesity. As we know, mental health and obesity is a nationwide problem in America. To take action, I have created a safe space for students to exercise and breathe in as this is just one way to improve their physical and emotional well-being. The best part is that students can use these movement breaks anywhere they go! This project will provide students with the tools to succeed academically, physically, and emotionally when they move their bodies in the classroom and beyond
Too Much Time at Home?: Redecorating During the Pandemic
Get PDFConsumers spent more time at home during the pandemic, causing them to want to make changes to their interiors. Increasing the number of remote work spaces in the home, reducing clutter to improve mental health, and creating attractive locations for on-line meetings are some of the topics discussed
A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables
Get PDFRapid and accurate estimation of maize biomass is critical for predicting crop productivity. The launched Sentinel-1 (S-1) synthetic aperture radar (SAR) and Sentinel-2 (S-2) missions offer a new opportunity to map biomass. The selection of appropriate response variables is crucial for improving the accuracy of biomass estimation. We developed models from SAR polarization indices, vegetation indices (VIs), and biophysical variables (BPVs) based on gaussian process regression (GPR) and random forest (RF) with feature optimization to retrieve maize biomass in Changchun, Jilin province, Northeastern China. Three new predictors from each type of remote sensing data were proposed based on the correlations to biomass measured in June, July, and August 2018. The results showed that a predictor combined by vertical-horizontal polarization (VV), vertical-horizontal polarization (VH), and the difference of VH and VV (VH-VV) derived from S-1 images of June, July, and August, respectively, with GPR and RF, provided a more accurate estimation of biomass (R2 = 0.81–0.83, RMSE = 0.40–0.41 kg/m2) than the models based on single SAR polarization indices or their combinations, or optimized features (R2 = 0.04–0.39, RMSE = 0.84–1.08 kg/m2). Among the S-2 VIs, the GPR model using a combination of ratio vegetation index (RVI) of June, normalized different infrared index (NDII) of July, and normalized difference vegetation index (NDVI) of August achieved a result with R2 = 0.83 and RMSE = 0.39 kg/m2, much better than single VIs or their combination, or optimized features (R2 of 0.31–0.77, RMSE of 0.47–0.87 kg/m2). A BPV predictor, combined with leaf chlorophyll content (CAB) in June, canopy water content (CWC) in July, and fractional vegetation cover (FCOVER) in August, with RF, also yielded the highest accuracy (R2 = 0.85, RMSE = 0.38 kg/m2) compared to that of single BPVs or their combinations, or optimized subset. Overall, the three combined predictors were found to be significant contributors to improving the estimation accuracy of biomass with GPR and RF methods. This study clearly sheds new insights on the application of S-1 and S-2 data on maize biomass modeling
Presence, Sources and Transport of Polycyclic Aromatic Hydrocarbons in the Arctic Ocean
Get PDFPolycyclic aromatic hydrocarbons (PAHs) are continuously released from multiple sources and are prone to long-range transport. Little is known regarding their presence, transport and fate in remote and deep oceans. Polyethylene passive samplers were hence deployed at deep moorings and surface seawater in the Fram Strait and Canadian Archipelago, as well as in air and surface water of the lower Great Lakes, a potential high-emission region, to understand the transport of PAHs to the Arctic. Dissolved PAHs showed significantly higher concentrations in the lower Great Lakes than those in the high Arctic. Concentrations of dissolved PAHs (Σ19PAHs) ranged from 33 to 300 pg/L in the Fram Strait; the vertical profiles generally exhibited a decreasing trend toward deep waters, which was potentially influenced by hydrological and biogeochemical processes. PAHs were exported from the Arctic Ocean to the North Atlantic through the Fram Strait and the Davis Strait
Linked-colloidal Nanocrystal Gels
Get PDFGels assembled from solvent-dispersed nanocrystals are of interest for functional materials because they promise the opportunity to retain distinctive properties of individual nanocrystals combined with tunable, structure-dependent collective behavior. In this talk, I discuss how equilibrium considerations can help to guide assembly of nanocrystal gels with properties controlled microscopically by design of a molecular mediator and macroscopically via its concentration. This mode of control is compelling because it decouples nanocrystal synthesis and functionalization from the design of interactions that drive assembly
The Last One! Titanium and Me; A Career in Failure
Get PDFA lighthearted review of a career in research examining some of the changes over time will be presented. Two projects, one early in a research career and a second towards the end, both involving titanium and different types of failure will be described.
In the first project, fatigue crack initiation in a titanium alloy was investigated. The alloy was heat treated to enable the effect of microstructure on fatigue crack initiation to be investigated. In all the microstructures, crack initiation was at very localized slip regions, usually involving a second phase. Evidence of involvement of these slip regions in the initiation process was removed by crack propagation. This process also affected the appearance of the fracture surface at the initiation site.
In the second project, a coating process involving titanium ions was developed as an alternative to chromate coating for adhesive bonding and corrosion resistance. The titanate coating process was designed to closely mimic the standard chromate coating process to minimize industrial process changes. For adhesive bonding of titanium to carbon fiber, the titanate coating successfully replaced the chromate coating improving bond durability while modifying the failure mechanism. The same type of titanium coating process was also applied to aluminum alloys as a replacement for chromates for corrosion protection. Electrochemical data indicated that the titanate process on a small scale was successful in corrosion protection, however, scale up proved to be difficult
Nucleation Under Shear Flow
Get PDFWe present a general formalism for calculating the nucleation rates of simply sheared systems [5-6]. We have derived an extension to the conventional Classical Nucleation Theory, explicitly embodying the shear rate. The framework can be used for moderate supercooling, at which temperatures brute-force methods are practically infeasible. We show how the theory can be used to identify shear regimes of ice nucleation behavior for the mW water model, unifying disparate trends reported in the literature [7].
[1] Tschauner, O et al., Science, 359, 1136-1139 (2018)
[2] Goswami, A., Singh, J. K., Phys. Chem. Chem. Phys., (2020)
[3] Goswami, A., Singh, J. K., J. Phys. Chem. C., in press (2020)
[4] Goswami A, Singh JK, J. Chem. Phys. 154, 154502 (2021)
[5] Goswami A and Singh JK, Phys. Phys. Chem. Phys. 23, 150402 (2021)
[6] Goswami, A, Dalal IS, Singh JK, J. Chem. Phys, 153, 09502 (2021)
[7] Goswami, A, Dalal IS, Singh JK, Phys. Rev. Letts, 126, 195702 (2021
Optimal selection of representative climate models and statistical downscaling for climate change impact studies: a case study of Rhode Island, USA
No full textThe future climate impact studies rely on future projections obtained from downscaling of Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models. The main challenge is large, yet growing pool of CMIP5 models, posing a high computational cost for analyzing the climate model ensemble. The optimal model selection from the large pool is hence necessary. It is critical that the selected climate models represent the uncertainty range of possible future and have high skill in past performance. In this study, we use a multi-criteria decision process based on the coupling of the envelope and past performance approach to identify potential future climate stresses for RI, USA. The selection is based on projected changes in annual climatic means (precipitation and temperature) followed by a range of projected changes in climatic extremes and past performance among these models. From a pool of 109 models from RCP4.5 and 79 models from RCP8.5, a final subset of 4 models was selected for RCP4.5 and RCP8.5 respectively. The change in annual climatic means for temperature varied + 1.7 to + 3.0 °C in RCP4.5 and + 2.4 to + 5.8 °C in RCP8.5, and the range in climate mean of annual precipitation varied from 0.2 to 12.7% in RCP4.5 and − 4.1 to 15.9% in RCP8.5. The selected climate models are statistically downscaled to produce reliable local-scale climate estimates. Various variants of quantile mapping are studied, and quantile delta mapping is applied to systematically reduce biases and preserve raw GCM signals