External Validation of Surrogate Indices of Fatty Liver in the General Population: The Bagnacavallo Study

We externally validated the fatty liver index (FLI), the lipid accumulation product (LAP), the hepatic steatosis index (HSI), and the Zhejiang University index (ZJU) for the diagnosis of fatty liver (FL) and non-alcoholic fatty liver disease (NAFLD) in the general population. The validation was performed on 2159 citizens of the town of Bagnacavallo (Ravenna, Italy). Calibration was evaluated by calculating the calibration slope and intercept and by inspecting calibration plots; discrimination was evaluated using the c-statistic. The average calibration slope was 1 and the average intercept was 0 for all combinations of outcomes and indices. For the diagnosis of FL, the c-statistic was 0.85 for FLI, 0.83 for ZJU, 0.82 for HSI, and 0.80 for LAP; for the diagnosis of NAFLD, the c-statistic was 0.77 for FLI, 0.76 for ZJU, 0.75 for HSI, and 0.74 for LAP. All indices were strongly correlated with each other. In conclusion, FLI, LAP, HSI, and ZJU perform similarly well to diagnose FL and NAFLD in the Bagnacavallo population, even if FLI has a small advantage as discrimination is concerned.

Intravenous versus oral paracetamol for postoperative analgesia: A systematic review

Paracetamol is a widely used analgesic agent that can be given by several different routes of administration. In the surgical setting, intravenous infusions of paracetamol are used, but an alternative is using oral paracetamol as a premedication. This systematic review is the first to compare the relative efficacy of intravenous and oral paracetamol at providing postoperative analgesia. Nine relevant studies were identified. Intravenous paracetamol resulted in a postoperative pain score of 0.5 points lower than in those receiving oral paracetamol premedication. Patients receiving intravenous paracetamol also had a small reduction in postoperative opioid requirements, but the time at which rescue analgesia was required did not differ. These results suggest that intravenous paracetamol may offer a small advantage over oral paracetamol premedication at providing postoperative analgesia.

Benefits of Customer Loyalty in Markets with Endogenous Search Costs

Managers have long appreciated having loyal customers, and academic research has explored the benefits of loyal consumers as coming from reduced price competition. This paper extends this research by considering how loyalty affects firms’ decisions to facilitate search for nonloyal consumers. We show that in equilibrium, the store with more loyal customers ends up having lower search costs even if facilitating search is costless. The intuition for this result is that nonloyal consumers expect higher prices at a store with a larger loyal segment, and therefore, this store has to set a lower search cost to counteract the negative effect of this expectation. Given this, it is optimal for the other store to set a higher search cost to avoid intensifying price competition. As a consequence, a larger loyal segment may lead to both higher prices and a higher market share among nonloyal customers. In other words, an advantage in customer loyalty leads to the store becoming the search hub of the nonloyal customers. This, in turn, implies that even a small advantage in customer loyalty may lead to a large increase in profits and may help explain why some managers place such a high value on earning customer loyalty. This paper was accepted by David Simchi-Levi, marketing.

Calibration of consonant perception to room reverberation

PurposeWe examined how consonant perception is affected by a preceding speech carrier simulated in the same or a different room, for a broad range of consonants. Carrier room, carrier length, and carrier length/target room uncertainty were manipulated. A phonetic feature analysis tested which phonetic categories are most influenced by the acoustic context of the carrier.MethodTwo experiments were performed, each with 9 participants. Targets consisted of vowel-consonant (VC) syllables presented in one of 2 strongly reverberant rooms, preceded by a VC carrier presented either in the same room, a different reverberant room, or an anechoic room. In Experiment 1 the carrier length and the target room randomly varied from trial to trial while in Experiment 2 they were fixed within blocks of trials.ResultsCompared to the no-carrier condition, a consistent carrier provided only a small advantage for consonant perception, whereas inconsistent carriers disrupted performance significantly. For a different-room carrier, carrier length had an effect; performance dropped significantly in the 2-VC compared to the 4-VC carrier length. The only effect of carrier uncertainty was an overall drop in performance. Phonetic analysis showed that an inconsistent carrier significantly degraded identification of the manner of articulation, especially for stop consonants, and, in one of the rooms, also of voicing.ConclusionsCalibration of consonant perception to strong reverberation is exhibited through disruptions in perception when the room is switched. The strength of calibration varies across different consonants and phonetic features, as well as across rooms and durations of exposure to a given room.

Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News

This meta-analysis summarizes evidence on how readers perceive the credibility, quality, and readability of automated news in comparison to human-written news. Overall, the results, which are based on experimental and descriptive evidence from 12 studies with a total of 4,473 participants, showed no difference in readers’ perceptions of credibility, a small advantage for human-written news in terms of quality, and a huge advantage for human-written news with respect to readability. Experimental comparisons further suggest that participants provided higher ratings for credibility, quality, and readability simply when they were told that they were reading a human-written article. These findings may lead news organizations to refrain from disclosing that a story was automatically generated, and thus underscore ethical challenges that arise from automated journalism.

Sustainability certifications and product preference

PurposeThe aim of this study is to investigate the influence of sustainability certifications on consumer preferences. The study investigates whether product certifications have a significant influence on consumer preferences and examines which certificate groups work best from a marketer's perspective for matching the different consumer preferences.Design/methodology/approachThe study uses a quantitative survey approach, based on a conjoint analysis carried out in the Brazilian juice market.FindingsThe results of 210 respondents indicate that the certifications chosen generally increase the evaluation of products. The effects, however, differ significantly between the three segments identified, especially between the two most important ones that have a combined market share of almost 90%. Our results show that demographic differences between the clusters are only marginal, as are the specific certification preferences, with a small advantage for organic certification.Research limitations/implicationsThe certificates chosen serve as an example that represents the various categories. The utility of similar certificates of the same category might be different. The scope of the research is also limited to the market for ready-to-drink juice.Practical implicationsUsing a dual targeting strategy, this study makes relevant recommendations for managing product certification. On the one hand, managers should consider a highly priced, certified product and, on the other, a low priced, uncertified product for satisfying identified demands. Decisions with regard to certification differentiation should mostly rely on the specific costs of the process because of limited consumer differentiation.Originality/valueThis study contributes to the literature on the influence that product certification has on consumer preferences by adding to the matter of certificate choice, especially from a marketer's perspective. Resolving this issue is important for facilitating the choice of those certificates that contribute most toward increasing consumer preference. Little research has been conducted into different certification groups and categories or the joint appearance of their different labels. Most of the research being carried out is aimed at the food market in developed countries, particularly in North America and Europe. Research in an emerging economy, therefore, introduces new scientific insights.

Object Pose Estimation in Monocular Image Using Modified FDCM

In this paper, a new method for object detection and pose estimation in a monocular image is proposed based on FDCM method. it can detect object with high speed running time, even if the object was under the partial occlusion or in bad illumination. In addition, It requires only single template without any training process. The Modied FDCM based on FDCM with improvments, the LSD method was used in MFDCM instead of the line tting method, besides the integral distance transform was replaced with a distance transform image, and using an angular Voronoi diagram. In addition, the search process depends on Line segments based search instead of the sliding window search in FDCM. The MFDCM was evaluated by comparing it with FDCM in dierent scenarios and with other four methods: COF, HALCON, LINE2D, and BOLD using D-textureless dataset. The comparison results show that MFDCM was at least 14 times faster than FDCM in tested scenarios. Furthermore, it has the highest correct detection rate among all tested method with small advantage from COF and BLOD methods, while it was a little slower than LINE2D which was the fasted method among compared methods. The results proves that MFDCM able to detect and pose estimation of the objects in the clear or clustered background from a monocular image with high speed running time, even if the object was under the partial occlusion which makes it robust and reliable for real-time applications.