Service brand rehab: Diagnosing trust repair mechanisms

This paper aims to understand consumers’ response to the trust repair mechanisms adopted by corporate brands in a service sector context following prominent trust damaging organizational transgressions. Adopting a qualitative approach, six focus group discussions are employed to investigate three high profile consumer trust erosion cases within the service sector. Consumer trust varies by context. Despite the severity of trust damage, corporate brands can recover trust towards their brands amongst consumers not directly affected by transgressions. Not all trust repair mechanisms are equally applicable to all service contexts and re-branding could be used as a trust repair mechanism. Corporate brands in the service sector should focus on sense-making, relational approaches and transparency. Orchestration of trust repair mechanisms needs to be integrated within the trust rehabilitation processes. This study illustrates it is important to reconsider trust repair processes to accommodate context and integrate post-transgression consumer research. Successful corporate brand rehabilitation of consumer trust requires examination of the trustworthiness dimensions consumers express before and after the transgression to select the most appropriate trust repair mechanisms. Findings suggest organizations also have preventative trust repair management programs. This research is the first to empirically apply the conceptual framework of Bachmann et al. (2015) to explore consumer responses to the trust repair mechanisms adopted by corporate brands by context

Fish and Coral Reef Communities of the Parque Nacional Sistema Arrecifal Veracruzano (Veracruz Coral Reef System National Park) Veracruz, Mexico: Preliminary Results

Effective resource management requires robust baseline datasets and efficient monitoring programs to identify and quantify temporal change. The Parque Nacional Sistema Arrecifal Veracruzano (Veracruz Coral Reef System National Park) encompasses a total of 52000ha including 23 coral reefs in two island groups separated by the mouth of the Jamapa River; one near the port of Veracruz, Mexico and one approximately 20km south near Punta Antón Lizardo. Both groups receive substantial fisheries pressure and other anthropogenic impacts. Using non-destructive, visual methods we surveyed fish and benthic assemblages at 18 sites, which included 10 individual coral reefs within the Park. For fishes, 221 point-count and 97 rover-diver surveys were conducted. In total, 92975 fish of 155 species were recorded. Using point-count data, fish abundance differed between Veracruz and Antón Lizardo sites (mean ± SEM: Veracruz = 535.52 ± 78.13; Antón Lizardo = 300.08 ± 30.68; p\u3c0.01, ANOVA). In contrast, there was no difference in fish species richness between these sites (Veracruz = 18.22 ± 0.36; Antón Lizardo = 18.75 ± 0.45); nor were there apparent differences in the MDS plot of Bray-Curtis similarity indices. A total of 27 stony coral species was identified on 170, 30-m point-intercept transects. Species richness ranged from 8 to 14 per site. Stony coral cover ranged from 4% to 38% with a mean of 22%. Other important functional groups included turf algae, macroalgae, and coralline algae. These groups generally contributed more to benthic cover than sponges or octocorals. Evidence of disease within the stony coral community was seen at all sites

Towards tunable consensus clustering for studying functional brain connectivity during affective processing

In the past decades, neuroimaging of humans has gained a position of status within neuroscience, and data-driven approaches and functional connectivity analyses of functional magnetic resonance imaging (fMRI) data are increasingly favored to depict the complex architecture of human brains. However, the reliability of these findings is jeopardized by too many analysis methods and sometimes too few samples used, which leads to discord among researchers. We propose a tunable consensus clustering paradigm that aims at overcoming the clustering methods selection problem as well as reliability issues in neuroimaging by means of first applying several analysis methods (three in this study) on multiple datasets and then integrating the clustering results. To validate the method, we applied it to a complex fMRI experiment involving affective processing of hundreds of music clips. We found that brain structures related to visual, reward, and auditory processing have intrinsic spatial patterns of coherent neuroactivity during affective processing. The comparisons between the results obtained from our method and those from each individual clustering algorithm demonstrate that our paradigm has notable advantages over traditional single clustering algorithms in being able to evidence robust connectivity patterns even with complex neuroimaging data involving a variety of stimuli and affective evaluations of them. The consensus clustering method is implemented in the R package “UNCLES” available on http://cran.r-project.org/web/packages/UNCLES/index.html

Improved method for the obtaining DTTA-appended 2,2’-bipyridine ligands for lanthanide cations

The composition of the reaction mixture after DTTA tert-butyl ester alkylation with 6'-halomethyl-5-phenyl-2,2'-bipyridines was studied. In addition to the target product, DTTA-appended 2,2’-bipyridine, the corresponding 6'-hydroxymethyl-substituted 2,2’-bipyridine and (5'-phenyl-[2,2'-bipyridin]-6-yl)methyl formate were isolated as by-products in some cases. Finally, an improved procedure for the DTTA tert-butyl ester alkylation with 6'-halomethyl-5-phenyl-2,2'-bipyridines by using Finkelstein reaction was developed

GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. The extension of fast simulation approaches to more use cases, covering a larger fraction of the simulation budget, is only part of the solution due to intrinsic precision limitations. The remainder corresponds to speeding-up the simulation software by several factors, which is out of reach using simple optimizations on the current code base. In this context, the GeantV R&D project was launched, aiming to redesign the legacy particle transport codes in order to make them benefit from fine-grained parallelism features such as vectorization, but also from increased code and data locality. This paper presents extensively the results and achievements of this R&D, as well as the conclusions and lessons learnt from the beta prototype.Comment: 34 pages, 26 figures, 24 table

The Future of High Energy Physics Software and Computing

Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that of experimental instruments, playing a critical role in experimental design, data acquisition/instrumental control, reconstruction, and analysis. Furthermore, S&C often plays a leading role in driving the precision of theoretical calculations and simulations. Within this central role in HEP, S&C has been immensely successful over the last decade. This report looks forward to the next decade and beyond, in the context of the 2021 Particle Physics Community Planning Exercise ("Snowmass") organized by the Division of Particles and Fields (DPF) of the American Physical Society.Comment: Computational Frontier Report Contribution to Snowmass 2021; 41 pages, 1 figure. v2: missing ref and added missing topical group conveners. v3: fixed typo

Magnetic pinning of flux lattice in superconducting- nanomagnet hybrids

Strong superconducting pinning effects are observed from magnetic landscapes produced by arrays of circular rings with varying magnetic remanent states. The collective and the background pinning of superconducting Nb films is strongly enhanced by the stray magnetic field produced by an array of circular Ni rings magnetized to form “onion” (bidomain) states. On the other hand, when the same rings are magnetized into vortex (flux-closed) states, or are randomly magnetized, the superconducting pinning is much smaller. The greatest pinning is produced when the superconducting vortex lattice motion is along a direction in which there is a strong magnetic field variation

Limits on WWgamma and WWZ Couplings from W Boson Pair Production

The results of a search for W boson pair production in pbar-p collisions at sqrt{s}=1.8 TeV with subsequent decay to emu, ee, and mumu channels are presented. Five candidate events are observed with an expected background of 3.1+-0.4 events for an integrated luminosity of approximately 97 pb^{-1}. Limits on the anomalous couplings are obtained from a maximum likelihood fit of the E_T spectra of the leptons in the candidate events. Assuming identical WWgamma and WWZ couplings, the 95 % C.L. limits are -0.62<Delta_kappa<0.77 (lambda = 0) and -0.53<lambda<0.56 (Delta_kappa = 0) for a form factor scale Lambda = 1.5 TeV.Comment: 10 pages, 1 figure, submitted to Physical Review

The observed winter circulation at InSight’s landing site and its impact on understanding the year-round circulation and aeolian activity in Elysium Planitia and Gale Crater

The InSight lander landed at 135.62°E, 4.50°N in Elysium Planitia, less than 550km from the landing site of the Mars Science Laboratory Curiosity rover, at 137.44°E, 4.59°S in Gale Crater. Both missions carried a suite of meteorological instruments, but regrettably MSL’s wind sensor was damaged on landing and failed completely after ~two Mars years [1]. The resultant data gaps and biases made it very difficult to properly characterize the diurnal and seasonal cycles of wind speed and direction in Gale Crater, a region of extreme topography containing numerous aeolian features. Fortunately, InSight’s wind sensor does not appear to have been damaged on landing, and is returning excellent wind data for the landing season (Ls~300°, northern winter). This valuable dataset has already allowed us to characterize the Elysium Planitia circulation at one time of year, and - in combination with atmospheric models - provides vital insight into what controls the circulation in this region of Mars. In turn, this better understanding of the regional circulation allows us to better interpret the local scale winds partially measured by MSL

Lysosomal dysfunction disrupts presynaptic maintenance and restoration of presynaptic function prevents neurodegeneration in lysosomal storage diseases

Lysosomal storage disorders (LSDs) are inherited diseases characterized by lysosomal dysfunction and often showing a neurodegenerative course. There is no cure to treat the central nervous system in LSDs. Moreover, the mechanisms driving neuronal degeneration in these pathological conditions remain largely unknown. By studying mouse models of LSDs, we found that neurodegeneration develops progressively with profound alterations in presynaptic structure and function. In these models, impaired lysosomal activity causes massive perikaryal accumulation of insoluble α-synuclein and increased proteasomal degradation of cysteine string protein α (CSPα). As a result, the availability of both α-synuclein and CSPα at nerve terminals strongly decreases, thus inhibiting soluble NSF attachment receptor (SNARE) complex assembly and synaptic vesicle recycling. Aberrant presynaptic SNARE phenotype is recapitulated in mice with genetic ablation of one allele of both CSPα and α-synuclein. The overexpression of CSPα in the brain of a mouse model of mucopolysaccharidosis type IIIA, a severe form of LSD, efficiently re-established SNARE complex assembly, thereby ameliorating presynaptic function, attenuating neurodegenerative signs, and prolonging survival. Our data show that neurodegenerative processes associated with lysosomal dysfunction may be presynaptically initiated by a concomitant reduction in α-synuclein and CSPα levels at nerve terminals. They also demonstrate that neurodegeneration in LSDs can be slowed down by re-establishing presynaptic functions, thus identifying synapse maintenance as a novel potentially druggable target for brain treatment in LSDs