Occasions, people and places for pork consumption in Europe. Empirical findings from the Q-Porkchains pan-European consumer survey

Objective: to describe the occasions when, the places where and people with whom respondents reported pork meat consumption. Design & Setting: Cross-sectional web based survey in Belgium, Denmark, Germany, Greece and Poland, January 2008, with quota samples on gender (male, female), age categories (20- 44y and 45-70y), and locality of residence (urban, rural with low pig production density and rural with high pig production density). Subjects: 2437 respondents (51% women, 49% men; mean age 41.4 y SD 13.1). Methods: Online computer based survey, including sociodemographic information, anthropometrics (weight, height), and further questions on frequency of pork consumption (30 common items, 17 country-specific items), the occasions (working day, any day, weekend, special occasions), the company (alone, with family, with friends, with others) and the place of actual consumption (at home, outside of home). Results are aggregated for the five European countries. Results: Tenderloin, mignonette, brochette together with pork shoulder ranked as the first choices for weekend and special occasions. The most out-of home consumed products are mixed gyros-pita meat, pork based brochette, pizza, small cuts, marinated meat, escalope, shoulder, tenderloin and mixed meat. The Greek country specific Sygglino, Tigania, and the Country-style sausage are amongst the main preferences for out of home consumption. At European level, most products are consumed at home and with the family. Meat products such as salami, ham, and similar products are amongst the first choices when eating alone. Semi-processed meat like brochettes, small cuts and marinated or ready to eat dishes as gyros-pitas and pizza are the main choice for eating in the company of friends. Conclusions: European respondents seem to make specific choices of food depending on to the occasions, the places and the company. This information highlights the potential orientation of consumers towards fresh meat for special occasions or weekends, and more processed and convenient products when alone or socializing. This information is also useful to address interventions aiming at the improvement of food related health in Europe.Occasions, Pork consumption, Europe, Q-Porkchains, Food Consumption/Nutrition/Food Safety,

Key Success Factors in Health-related Food Marketing: A Case Study Approach

Every now and then, astonishing success stories can be observed on the food market. Many of the recent examples make reference to health characteristics and arguments. In order to analyse the possibly underlying success factors, an empirical case study approach was chosen. 27 successful European Union food marketing cases were purposively sampled from the database of renowned marketing effectiveness awards as well as following a series of food market expert interviews. Success factors were analyzed in a two-step approach, first for each case and then in a case-by-case comparison structured with a card sorting method. Six groups of success factors emerged from the analysis and named "data and knowledge", "emotions", "endorsement", "media", "community" and "why and how". Several success factors appeared to be of specific importance for the issue of health characteristics and arguments. It is concluded that considering the applicability of these case derived success factors might be a recommendable way of improving food marketing campaigns, especially when referencing to health in the communication.Health Economics and Policy, Marketing,

Dynamic Incentive Effects of Relative Performance Pay: A Field Experiment

We conduct a field experiment among 189 stores of a retail chain to study dynamic incentive effects of relative performance pay. Employees in the randomly selected treatment stores could win a bonus by outperforming three comparable stores from the control group over the course of four weeks. Treatment stores received weekly feedback on relative performance. Control stores were kept unaware of their involvement, so that their performance generates exogenous variation in the relative performance of the treatment stores. As predicted by theory, treatment stores that lag far behind do not respond to the incentives, while the responsiveness of treatment stores close to winning a bonus increases in relative performance. On average, the introduction of the relative performance pay scheme does not lead to higher performance

The Effects of Prize Spread and Noise in Elimination Tournaments: A Natural Field Experiment

We conduct a field experiment in a large retail chain to test basic predictions of tournament theory regarding prize spread and noise. A random subset of the 208 stores participates in two-stage elimination tournaments. Tournaments differ in the distribution of prize money across winners of the first and second round of the tournament. As predicted by theory, we find that a more convex prize spread increases performance in the second round at the expense of first-round performance, although the magnitude of these effects is small. Moreover, the treatment effect is significantly larger for stores that historically have relatively stable performance as compared to stores with more noisy performance

Measurement of the azimuthal anisotropy of Y(1S) and Y(2S) mesons in PbPb collisions at √S^{S}NN = 5.02 TeV

The second-order Fourier coefficients (υ$_{2}$) characterizing the azimuthal distributions of Υ(1S) and Υ(2S) mesons produced in PbPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV are studied. The Υmesons are reconstructed in their dimuon decay channel, as measured by the CMS detector. The collected data set corresponds to an integrated luminosity of 1.7 nb$^{-1}$. The scalar product method is used to extract the υ$_{2}$ coefficients of the azimuthal distributions. Results are reported for the rapidity range |y| < 2.4, in the transverse momentum interval 0 < p$_{T}$ < 50 GeV/c, and in three centrality ranges of 10–30%, 30–50% and 50–90%. In contrast to the J/ψ mesons, the measured υ$_{2}$ values for the Υ mesons are found to be consistent with zero

Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

The algorithm developed by the CMS Collaboration to reconstruct and identify τ leptons produced in proton-proton collisions at √s=7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of π⁰ candidates, and improvements in multivariate discriminants to separate τ leptons from jets and electrons. The algorithm is extended to reconstruct τ leptons in highly Lorentz-boosted pair production, and in the high-level trigger. The performance of the algorithm is studied using proton-proton collisions recorded during 2016 at √s=13 TeV, corresponding to an integrated luminosity of 35.9 fb¯¹. The performance is evaluated in terms of the efficiency for a genuine τ lepton to pass the identification criteria and of the probabilities for jets, electrons, and muons to be misidentified as τ leptons. The results are found to be very close to those expected from Monte Carlo simulation

Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV

At the start of Run 2 in 2015, the LHC delivered proton-proton collisions at a center-of-mass energy of 13\TeV. During Run 2 (years 2015–2018) the LHC eventually reached a luminosity of 2.1× 10$^{34}$ cm$^{-2}$s$^{-1}$, almost three times that reached during Run 1 (2009–2013) and a factor of two larger than the LHC design value, leading to events with up to a mean of about 50 simultaneous inelastic proton-proton collisions per bunch crossing (pileup). The CMS Level-1 trigger was upgraded prior to 2016 to improve the selection of physics events in the challenging conditions posed by the second run of the LHC. This paper describes the performance of the CMS Level-1 trigger upgrade during the data taking period of 2016–2018. The upgraded trigger implements pattern recognition and boosted decision tree regression techniques for muon reconstruction, includes pileup subtraction for jets and energy sums, and incorporates pileup-dependent isolation requirements for electrons and tau leptons. In addition, the new trigger calculates high-level quantities such as the invariant mass of pairs of reconstructed particles. The upgrade reduces the trigger rate from background processes and improves the trigger efficiency for a wide variety of physics signals

Pileup mitigation at CMS in 13 TeV data

With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup" collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ" correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb$^{-1}$ collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification