Journals of Universitas Sangga Buana
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Shelf organization of plant-based meat alternatives - Study retailer 1
No full textBackground:
For accelerating the protein shift we need to normalize plant-based products. Shifting (plant-based) meat shelf organization from source to function is in line with categorization theory. The two most used categorization strategies are taxonomic vs. goal-derived categories (Felcher et al., 2001). Taxonomic categorizations are based on similar physical external attributes (e.g., source: meat, chicken, plant-based). Goal-derived categorisations are based on aspects related to the fulfilment of common consumption goals within salient contexts (e.g., function, meal type: minced meat, schnitzel, shoarma). The aim of this study is to test the impact of changing the shelf organization from source (i.e. taxonomic; e.g. chicken, meat, PB) to function/texture (i.e. goal-derived, e.g. minced, schnitzel, shoarma) on consumers’ categorization and perception of plant-based (PB) proteins.
Objectives/research questions
- Does the change in shelf organization shift sales towards PB products?
o ... within intervention store (baseline vs. during intervention vs. post-intervention)?
o ... in intervention stores compared to control stores (cross-sectional)?
o ... within- and between store comparison at three timepoints (diff-in-diff)?
o ... and how do sales differ per consumer group (omnivores, flexitarians, vegetarians and vegans) or segment (meat vs. non-meat eaters; in case no loyalty card data available)?
o ... do we see different effects for type of PB products: analogues vs. non-analogues (e.g. nuts, beans, tofu)?
o ... what is the impact on animal-based product, including meat/fish/dairy (replacing/substituting/spill-over effects or only complementing)?
o ... sales of type of PB products or alternative animal-derived products specified per consumer group?
- Does the change in shelf organization change consumer perception of PB products?
o ... increase in positive perception for meat-eaters (i.e. omnivores, flexitarians)?
o ... in terms of findability (positive and negative: frustration/annoyance) of PB products?
o ... in terms of knowledge/familiarity (past experience PB products) of PB products?
o ... in terms of categorization (does alternative shelf positioning act as information/reminder which assimilates consumers’ category of “meat”)?
o ... in terms of future buying intention of PB products
People’s perception of suffering and their reactions to negative events
No full textPsychologists have long been interested in what makes people react in an adaptive way to negative events. Studies have identified a wide range of cognitive and behavioral characteristics, such as resilient personality, adaptive coping skills, cognitive appraisal, and positive mindsets. However, few have examined people’s general beliefs about the nature of suffering in life.
Throughout history, a number of philosophers, religious teachers, and spiritual leaders have taught that "life is suffering." Although their viewpoints have varied, these teachers shared the view that people's lives involve a good deal of distress, unhappiness, pain, fear, and upset from the day they are born until the day they die. Despite this being an undeniable truth, people struggle to accept suffering as a normal part of life. We tend to make our suffering worse by ruminating on how difficult it is to experience these events and how we don’t deserve them. For example, when faced with adversity, people often ruminate and catastrophize (Quartana et al., 2009), blame others, the world, or a higher power (Exline & Martin, 2007), grow a sense of unfairness, victim entitlement, and selfishness (Zitek et al., 2010), fall into self-pity and self-absorption (Barnard & Curry, 2011; Stöber. 2003). This tendency to be overly distressed or angry at the presence of negative events undermine our ability to effectively handle these events and adds another layer of unnecessary suffering. Therefore, being able to calmly accept that part of our life will be unhappy may help us better navigate life's challenges.
Accepting suffering as a normal part of life may consist of three parts: recognizing that there will be problems, knowing that it’s common and normal to have problems, and acknowledging that everyone experiences challenges. Supporting the idea, our first study showed that expecting a moderate amount of suffering and acknowledging the commonness of one’s problems was negatively related to depression and catastrophizing, positively related to positive emotions and equanimity. In our second study, we aim to further explore the relationship between people’s beliefs about suffering and their reaction to various negative events
Nature of Correct Responding in the Compound Remote Associates Test
No full textIn an attempt to test the generalizability of reasoning findings, our main question in this study is whether people who provide a correct response after deliberation in the Compound Remote Associates Test (CRAT), can also provide a correct response on the same task when not deliberating
The social value of conspiracy
No full textRecently, works on conspiracy theories have been growing in numbers (Wagner-Egger, 2020) expanding our knowledge on the reasons behind why people believe in these kinds of theories (Bruder et al., 2013; Douglas et al. 2022; Lantian et al., 2017). Moreover, tools to measure as well as predict the probability for some people to believe in conspiracy theories have been elaborated through which appeared an existent individual tendency to have a ‘conspiracy mentality’ (Bruder et al., 2013; Lantian et al., 2017)
In front of these works, we suggest using another angle to study conspiracy by taking social judgment theories as foundation of our research. More specifically, in this research, we suggest studying the social value associated with the adjective 'conspiratory' (or ‘complotiste’ in French) by considering it as a new personality trait.
Based on previous exploratory studies we conducted, we expect this trait to have a special disposition in the vertical dimension of the integrative bidimensional model (Abele et al., 2021) where assertiveness will be separated from competence. In other words, we predict the ‘conspiratory’ trait to be associated with high assertiveness yet low competence for the vertical dimension while being associated with low morality and low friendliness for the horizontal dimension.
In order to elaborate our study, we will apply the self-presentation paradigm and use the Conspiracy Mentality Questionnaire (Bruder et al., 2013) added with three other original items we will create to clearly depict conspiracy and an one-item conspiracy scale (Lantian et al., 2017). Participants will first encounter the CMQ, our three original items and the one-item conspiracy scale in a control/sincere situation where we will ask them to answer the survey as genuinely as possible. Then, they will randomly encounter one of the four normative situations where we will ask them to answer the survey again but this time by presenting themselves as assertive/competent/friendly/moral as possible
Connecting mitochondrial methylation potential to cellular dysfunction and disease
No full textMitochondria form a central hub in cellular metabolism, with a vast number of different metabolic pathways relying on their function. Dysfunction of this organelle is increasingly linked to a broad range of disease states, as well as to normal ageing, but the underlying mechanism is not well understood. Increasing evidence indicates that metabolism of one-carbon units, i.e. the distribution of methyl groups for the synthesis of DNA, polyamines, amino acids, creatine or phospholipids, is important in this context, and induction of the one-carbon cycle has been suggested to be an early hallmark of mitochondrial dysfunction. My group recently demonstrated that the one-carbon metabolism itself can affect mitochondrial function via the methylation of key mitochondrial factors, establishing a link between cellular methylation potential and energy metabolism.While our data signified the importance of methylation in mitochondrial disease, numerous aspects of mitochondrial methylation potential remain unknown. By using a combination of animal models, patient samples,molecular biology, and proteomics this project will study the metabolic interactions and consequences of low mitochondrial methylation potential. This will be further explored in common pathologies, as well as in patients with inborn errors of metabolism, with the long-term goal of discovering new treatment possibilities
Refining Measurement of Child Care Supply and Demand
No full textThe COVID-19 pandemic has exacerbated issues long known to the early child care and education sector. Low- and middle-income families experienced income losses that pushed the cost of high-quality child care further out of reach. At the same time, the Bureau of Labor Statistics still finds 100,000 fewer child care workers than pre-pandemic, reducing child care supply below its already-insufficient levels. Yet amid these dismal conditions short-term resources and new political will have arisen to support the sector, bringing opportunities for states to invest like never before. Although states have responded unevenly in leveraging the opportunity, there is a shared push to develop more slots to meet both pent-up pre-pandemic demand and families’ new needs as they grapple with new modes of work and new priorities for their children’s care.
To develop the right amount of care, states would benefit from some demand-informed target. Yet even pre-pandemic, child care demand has been proxied almost uniformly as the number of young children whose parents are in the labor force as estimated via the American Community Survey (ACS). We assert that disrupting the assumption that only and all children whose parents are in the labor force need care allows states to refine demand estimates to account for unmeasured demand and parental preference in more realistic ways. Similarly, the field’s understanding of “supply” typically equates to the number of licensed slots within a place. However, long-running workforce shortages mean the number of children that a site could legally serve is not necessarily the same as the number for which it can realistically care, representing significant divergences between licensed and actual capacity. As with demand, refining child care supply estimates can yield a more pragmatic and actionable planning tool than now exists.
Using data from the ACS, the Current Population Survey, the Early Childhood Program Participation Survey, the Household Pulse Survey, the National Survey of Early Care and Education (NSECE), the Survey of Income and Program Participation (SIPP), and state administrative records, we propose a series of alternate specifications that refine traditional baseline estimates of demand to account for elements of parental preference in likelihood that a child will need a nonparental care. Similarly, we propose to utilize state administrative, NSECE, and workforce data to extend supply estimation beyond licensed slot counts to also consider desired capacity, unused capacity, and workforce shortages. These refinements will result in ranges of supply and demand estimates that can be leveraged by multiple on-the-ground stakeholders. A peer-reviewed paper and several non-academic tools, including a series of geographically specific factsheets, a single-page overview, and a webinar will support the field’s ability to engage with these alternatives
Shrinkage priors for Bayesian penalized regression.
No full textIn linear regression problems with many predictors, penalized regression techniques are often used to guard against overfitting and to select variables relevant for predicting the outcome. Classical regression techniques find coefficients that minimize a squared residual; penalized regression adds a penalty term to this residual to limit the coefficients’ sizes, thereby preventing over- fitting. Many classical penalization techniques have a Bayesian counterpart, which result in the same solutions when a specific prior distribution is used in combination with posterior mode estimates. Compared to classical penalization techniques, the Bayesian penalization techniques perform similarly or even better, and they offer additional advantages such as readily available uncertainty estimates, automatic estimation of the penalty parameter, and more flexibility in terms of penalties that can be considered. As a result, Bayesian penalization is becoming increasingly popular. The aim of this paper is to provide a comprehensive overview of the literature on Bayesian penalization. We will compare different priors for penalization that have been proposed in the literature in terms of their characteristics, shrinkage behavior, and performance in terms of prediction and variable selection in order to aid researchers to navigate the many prior options
Presentation Slides
No full textThis project includes slides of talks I gave and shared.
The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity