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As the wine industry faces increasing challenges from grapevine diseases, Fungus-Resistant Grape Varieties (FRGVs) offer a promising solution for sustainable production. To evaluate their market potential, our study investigates how knowledge of FRGVs affects consumer hedonic quality assessments and willingness to pay for wines produced from these innovative varieties compared to those made from conventional grape varieties. The study utilises data from a central location test conducted with 244 consumers in Germany featuring 8 different wines. The sample was carefully selected to ensure representativeness across gender, age and frequency of wine consumption. The data were analysed using descriptive and multivariate statistical techniques. The results indicate that consumers rate the hedonic quality and willingness to pay for wines made from FRGVs similarly to wines produced from conventional grape varieties when tasted without any prior information about the FRGVs in viticulture. However, providing consumers with information prior to tasting results in a positive effect on their assessment of hedonic quality and willingness to pay for wines made from FRGVs. By offering information about the positive effects of resistant grapes in viticulture, it is possible to enhance consumer acceptance and increase their willingness to pay for wines from FRGVs.

Increasing brown adipose tissue (BAT) thermogenesis in mice and humans improves metabolic health and understanding BAT function is of interest for novel approaches to counteract obesity. The role of long noncoding RNAs (lncRNAs) in these processes remains elusive. We observed maternally expressed, imprinted lncRNA H19 increased upon cold-activation and decreased in obesity in BAT. Inverse correlations of H19 with BMI were also observed in humans. H19 overexpression promoted, while silencing of H19 impaired adipogenesis, oxidative metabolism and mitochondrial respiration in brown but not white adipocytes. In vivo, H19 overexpression protected against DIO, improved insulin sensitivity and mitochondrial biogenesis, whereas fat H19 loss sensitized towards HFD weight gains. Strikingly, paternally expressed genes (PEG) were largely absent from BAT and we demonstrated that H19 recruits PEG-inactivating H19 -MBD1 complexes and acts as BAT-selective PEG gatekeeper. This has implications for our understanding how monoallelic gene expression affects metabolism in rodents and, potentially, humans. Brown adipose tissue (BAT) thermogenesis counteracts obesity and promotes metabolic health. The role of long non-coding RNAs (lncRNAs) in the regulation of this process is not well understood. Here the authors identify a maternally expressed lncRNA, H19, that increases BAT oxidative metabolism and energy expenditure.

In standard cardiopulmonary resuscitation (CPR), rescuers switch between ventilation and chest compressions. We examined the effect of this task-switching requirement on chest-compression quality to gain insights into the cognitive mechanisms underlying performance in standard CPR. Understanding these mechanisms can help in the development of evidence-based practical implications and cognitive aids for CPR. A total of 300 first-year medical and dentistry students (212 females, 20.2 ± 4.4 years) participated in this randomized controlled trial. They received either a CPR training comprising both chest compressions and ventilation (standard CPR) or a CPR training comprising chest compressions only (chest-compression-only CPR). Chest-compression quality (compression depth and rate) was measured via a resuscitation manikin and analyzed using linear mixed models and linear trend analyses. Overall, chest-compression quality did not differ across standard CPR and chest-compression-only CPR. However, in standard CPR, compression quality was better after ventilation than before ventilation. Importantly, ventilation impaired the quality of the compressions executed immediately after ventilation, but the quality increased with each compression after ventilation, resulting in a better chest-compression quality after ventilation than before it. This study suggests that ventilation acts as a break, improving physical capability, which in turn enhances compressions after ventilation. However, at the same time, ventilation causes a task switch which increases cognitive demands and impairs chest-compression quality immediately after ventilation. Considering the negative effect of the task-switching demand on chest-compression quality, it is useful to develop cognitive aids for professional medical care. Such cognitive aids can signal an upcoming switch to ventilation, thereby reducing the multitasking load in terms of reduced monitoring demands with respect to the number of chest compressions that have already been executed.

To align with the target of reducing plant protection measures within the EU Green Deal programme, the utilisation of resistant grape varieties in viticulture becomes indispensable. Consequently, this study investigated the factors that influence consumer acceptance of fungus-resistant grape varieties (FRGV) in Germany. The qualitative research methodology involved conducting semi-structured interviews, including sensory evaluation tests, with focus groups consisting of 48 consumers and evaluating the data using content analysis. The findings revealed that the attractiveness of a grape variety is determined by four distinct attributes: familiarity, designation, association, and image. Furthermore, FRGV can be made more attractive to consumers by using denominations based on established grape varieties or by using and associating them with their sensory patterns. The sensory acceptance of FRGV varies significantly across consumer segments and vinification methods. Providing relevant information about the benefits of resistant grape varieties has a positive impact on consumer acceptance, and the level of interest and relevance varies by target group. The study suggests that it is possible to enhance consumer acceptance by offering attractive grape varieties, targeting group-specific sensory profiles, and engaging in storytelling campaigns that educate consumers about the advantages of resistant grapes.

PurposeThe significance of fungus-resistant grape varieties (FRGVs) has markedly increased across the entire value chain in recent years, becoming increasingly pertinent for the wine industry. The study contributes to the theoretical understanding of consumer behaviour in the wine industry through the identification of different clusters and the analysis of their accessibility to the FRGV on the basis of various criteria.Design/methodology/approachA quantitative survey was conducted involving 644 participants that was screened based on socio-demographic factors to ensure representation of the German population. The collected data were analysed using factor and cluster analyses, alongside various multivariate tests, to statistically elucidate similarities and differences between clusters.FindingsIn total, six clusters were examined, each displaying varying responses to and pre-existing knowledge of resistant grape varieties. In general, as one becomes more involved in the world of wine and develops a sustainable and progressive outlook towards innovations in the wine industry, a positive inclination towards resistant grape varieties can be observed.Practical implicationsPractical implications for each cluster were subsequently derived, potentially facilitating the market entry or penetration of wines produced from FRGV. Experts and Quality-averse consumer desire wines from FRGV to have a unique terroir experience, while young casual drinkers interpret them as part of pop culture. LOHAS can be addressed with sustainability-oriented approaches. Price-sensitive consumer expect good qualities in the entry price segment, and Traditionalists can be reached by preserving traditions in a changing environmental context.Originality/valueThis paper fulfils the identified need to investigate consumer preferences for resistant grape varieties.

The reduction of phytosanitary treatments in viticulture is widely demanded by policymakers and consumers. An important solution is the use of resistant grapes, which can cut plant protection applications by up to 80%. Although this is a significant improvement, viticulture is mainly carried out with traditional grapes. Therefore, the aim of this paper is to identify the factors that encourage the cultivation of fungus-resistant grape varieties (FRGV), as well as the challenges and opportunities in marketing. Our study used an exploratory sequential mixed-methods model design. In the first step, data were collected through 48 in-depth interviews and analyzed. Based on the qualitative results, a survey of 422 producers was conducted. The quantitative research results were segmented by company size and production type to provide a deeper understanding. The main drivers for cultivation are the ecological benefits resulting from the reduction of pesticide use, with organic producers particularly motivated by sustainability goals. Smaller producers are driven by the opportunity to introduce a new wine style, whereas larger producers are more cautious and focus on cost savings. The cultivation of resistant grape varieties is restricted by a large number of varieties, lack of experience, and unfavorable characteristics from initial generations of resistant grapes. A low level of grape variety prominence and customer awareness, as well as unattractive variety names, negatively affect producer acceptance. To facilitate higher market acceptance, it is important to offer attractive grape varieties, directly communicate them to consumers, and provide information about the sustainable effects.

In psychology and the social sciences, researchers often model count outcome variables accounting for latent predictors and their interactions. Even though neglecting measurement error in such count regression models (e.g., Poisson or negative binomial regression) can have unfavorable consequences like attenuation bias, such analyses are often carried out in the generalized linear model (GLM) framework using fallible covariates such as sum scores. An alternative is count regression models based on structural equation modeling, which allow to specify latent covariates and thereby account for measurement error. However, the issue of how and when to include interactions between latent covariates or between latent and manifest covariates is rarely discussed for count regression models. In this paper, we present a latent variable count regression model (LV-CRM) allowing for latent covariates as well as interactions among both latent and manifest covariates. We conducted three simulation studies, investigating the estimation accuracy of the LV-CRM and comparing it to GLM-based count regression models. Interestingly, we found that even in scenarios with high reliabilities, the regression coefficients from a GLM-based model can be severely biased. In contrast, even for moderate sample sizes, the LV-CRM provided virtually unbiased regression coefficients. Additionally, statistical inferences yielded mixed results for the GLM-based models (i.e., low coverage rates, but acceptable empirical detection rates), but were generally acceptable using the LV-CRM. We provide an applied example from clinical psychology illustrating how the LV-CRM framework can be used to model count regressions with latent interactions.

Researchers often use regressions with a logarithmic link function to evaluate the effects of a treatment on a count variable. In order to judge the average effectiveness of the treatment on the original count scale, they compute average treatment effects, which are defined as the average difference between the expected outcomes under treatment and under control. Current practice is to evaluate the expected differences at every observation and use the sample mean of these differences as a point estimate of the average effect. The standard error for this average effect estimate is based on the implicit assumption that covariate values are fixed, i.e., do not vary across different samples. In this paper, we present a new way of analytically computing average effects based on regressions with log link using stochastic covariates and develop new formulas to obtain standard errors for the average effect. In a simulation study, we evaluate the statistical performance of our new estimator and compare it with the traditional approach. Our findings suggest that the new approach gives unbiased effect estimates and standard errors and outperforms the traditional approach when strong interaction and/or a skewed covariate is present.

The sparkling wine market in Germany is estimated at approx. 3 million hl per year, which is approx. 15% of the total wine market. With the highest per capita consumption of sparkling wine, the Germans have held a special position in a global comparison for years. Sufficient research results and market analyses are available on the subject of still wine, whereas sparkling wine is somewhat neglected in this respect. To close this gap, a representative study was conducted among German consumers in October 2022 with regard to the frequency, occasions and preferences of sparkling wine consumption. The results show that special occasions and brands are significantly more important for sparkling wine than for still wine and that sparkling wine consumption is more dominated by occasional drinkers. The share of regular consumers is significantly higher for still wine than for sparkling wine, but the number of active sparkling wine drinkers is larger than for still wine. The level of sweetness \"dry\" and \"semi-dry\" cover about 50% of consumer preferences. Women prefer a higher residual sugar content, while men tend to like sparkling wines with lower residual sugar content. With increasing age, the preference shifts towards higher residual sugar levels. When comparing place of purchase and frequency of consumption, it becomes clear that occasional drinkers are more likely to make impulse purchases, which explains the high preference for food retailing stores. Frequent drinkers seem to look more specifically for sparkling wines and therefore resort significantly more often to specialised wine stores (12%) and online shops (7%).

Obesity and type 2 diabetes mellitus are global emergencies and long noncoding RNAs (lncRNAs) are regulatory transcripts with elusive functions in metabolism. Here we show that a high fraction of lncRNAs, but not protein-coding mRNAs, are repressed during diet-induced obesity (DIO) and refeeding, whilst nutrient deprivation induced lncRNAs in mouse liver. Similarly, lncRNAs are lost in diabetic humans. LncRNA promoter analyses, global cistrome and gain-of-function analyses confirm that increased MAFG signaling during DIO curbs lncRNA expression. Silencing Mafg in mouse hepatocytes and obese mice elicits a fasting-like gene expression profile, improves glucose metabolism, de-represses lncRNAs and impairs mammalian target of rapamycin (mTOR) activation. We find that obesity-repressed LincIRS2 is controlled by MAFG and observe that genetic and RNAi-mediated LincIRS2 loss causes elevated blood glucose, insulin resistance and aberrant glucose output in lean mice. Taken together, we identify a MAFG-lncRNA axis controlling hepatic glucose metabolism in health and metabolic disease. Despite widespread transcription of LncRNA in mammalian systems, their contribution to metabolic homeostasis at the cellular and tissue level remains elusive. Here Pradas-Juni et al. describe a transcription factor–LncRNA pathway that couples hepatocyte nutrient sensing to regulation of glucose metabolism in mice.