Evaluations are inherently comparative, but are compared to what?

Understanding how objective quantities are translated into subjective evaluations has long been of interest to social scientists, medical professionals, and policymakers with an interest in how people process and act on quantitative information. The theory of decision by sampling proposes a comparative procedure: Values seem larger or smaller based on how they rank in a comparison set, the decision sample. But what values are included in this decision sample? We identify and test four mechanistic accounts, each suggesting that how previously encountered attribute values are processed determines whether they linger in the sample to guide the subjective interpretation, and thus the influence, of newly encountered values. Testing our ideas through studies of loss aversion, delay discounting, and vaccine hesitancy, we find strongest support for one account: Quantities need to be subjectively evaluated-rather than merely encountered-for them to enter the decision sample, alter the subjective interpretation of other values, and then guide decision making. Discussion focuses on how the present findings inform understanding of the nature of the decision sample and identify new research directions for the longstanding question of how comparison standards influence decision making. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Pan-chloroplast genomes for accession-specific marker development in Hibiscus syriacus.

Hibiscus syriacus L. is a renowned ornamental plant. We constructed 95 chloroplast genomes of H. syriacus L. cultivars using a short-read sequencing platform (Illumina) and a long-read sequencing platform (Oxford Nanopore Technology). The following genome assembly, we delineate quadripartite structures encompassing large single-copy, small single-copy, and inverted repeat (IRa and IRb) regions, from 160,231 bp to 161,041 bp. Our comprehensive analyses confirmed the presence of 79 protein-coding genes, 30 tRNA genes, and 4 rRNA genes in the pan-chloroplast genome, consistent with prior research on the H. syriacus chloroplast genome. Subsequent pangenome analysis unveiled widespread genome sequence conservation alongside unique cultivar-specific variant patterns consisting of 193 single-nucleotide polymorphisms and 61 insertions or deletions. The region containing intra-species variant patterns, as identified in this study, has the potential to develop accession-specific molecular markers, enhancing precision in cultivar classification. These findings are anticipated to drive advancements in breeding strategies, augment biodiversity, and unlock the agricultural potential inherent in H. syriacus.

Construction of deep learning-based disease detection model in plants.

Accurately detecting disease occurrences of crops in early stage is essential for quality and yield of crops through the decision of an appropriate treatments. However, detection of disease needs specialized knowledge and long-term experiences in plant pathology. Thus, an automated system for disease detecting in crops will play an important role in agriculture by constructing early detection system of disease. To develop this system, construction of a stepwise disease detection model using images of diseased-healthy plant pairs and a CNN algorithm consisting of five pre-trained models. The disease detection model consists of three step classification models, crop classification, disease detection, and disease classification. The 'unknown' is added into categories to generalize the model for wide application. In the validation test, the disease detection model classified crops and disease types with high accuracy (97.09%). The low accuracy of non-model crops was improved by adding these crops to the training dataset implicating expendability of the model. Our model has the potential to apply to smart farming of Solanaceae crops and will be widely used by adding more various crops as training dataset.

Social status and unethical behavior: Two replications of the field studies in Piff et al. (2012).

Prominent social psychologists and major media outlets have put forward the notion that people of high socioeconomic status (SES) are more selfish and behave more unethically than people of low SES. In contrast, other research in economics and sociology has hypothesized and found a positive relationship between SES and prosocial and ethical behavior. We review the empirical evidence for these contradictory findings and conduct two direct, well-powered, and preregistered replications of the field studies by Piff and colleagues (2012) to test the relationship between SES and unethical/selfish behavior. Unlike the original findings, we find no evidence of a positive relationship between SES and unethical/selfish behavior in the two field replication studies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Short-term Changes in Thyroid-Stimulating Hormone Level after Body Fat Reduction via Partial Meal Replacement.

BACKGROUND: Serum thyroid-stimulating hormone (TSH) levels change during body weight reduction. However, the changes that occur during short-term body weight control interventions remain controversial. Thus, this study aimed to evaluate the changes in TSH levels according to body fat reduction. METHODS: We performed a 3-month intervention study involving partial meal replacement. Forty-nine participants completed the study. Correlations between changes in TSH levels and other body composition parameters were determined. The subjects were divided into two groups according to their body fat reduction (>1 kg, n=20; <1 kg, n=29). The changes in metabolic parameters, including TSH levels, were compared. For significant values, a multivariate analysis was performed after adjustment to evaluate the relationship between TSH changes and body fat reduction. RESULTS: The 3-month intervention caused favorable changes in body proportions and metabolic parameters. TSH levels changed significantly only after changes in total body fat, showing a partial correlation. Changes in TSH levels were significantly different between groups (P=0.014). Moreover, the change in TSH levels was significantly different after adjustment (P=0.012). CONCLUSION: A body fat reduction, especially >1 kg, can reduce serum TSH concentrations in subjects with metabolic syndrome after short-term body weight intervention.

Serum 25-hydroxyvitamin D3 is associated with homocysteine more than with apolipoprotein B.

BACKGROUND/OBJECTIVES: The incidence of cardiovascular diseases (CVDs) has increased worldwide. Although a low serum vitamin D level is known to be associated with the risk of CVD, the mechanism is not well understood yet. The aim of this study was to determine the relationship of serum 25-hydroxyvitamin D3 (25[OH]D) with homocysteine and apolipoprotein B (ApoB). SUBJECTS/METHODS: Of 777 subjects recruited from one health promotion center for routine heath exam from January 2010 to December 2016, 518 subjects were included in this study. Serum 25(OH)D, serum homocysteine, and other metabolic parameters including ApoB were analyzed. Simple and partial correlations were carried out after adjustments. Simple linear regression analysis was used for precise correlation of parameters. Multivariate regression analysis was done to know which factor (serum homocysteine or ApoB) was more related to serum 25(OH)D after adjustments. Finally, logarithms of homocysteine concentrations according to tertiles of serum 25(OH)D were compared. RESULTS: After sex and age adjustments, serum 25(OH)D showed negative correlations with serum homocysteine (r' = -0.114) and ApoB (r' = -0.098). In simple linear regression analysis, serum 25(OH)D showed a significant negative correlation with ApoB (P = 0.035). However, in multivariate regression analysis, serum 25(OH)D was significantly associated with serum homocysteine after adjustments (P = 0.022). In addition, serum homocysteine concentration was significantly high in the lowest 25(OH)D group (P = 0.046). CONCLUSION: Serum 25(OH)D concentration showed a stronger negative association with serum homocysteine than with ApoB.

Prosocial spending encourages happiness: A replication of the only experiment reported in Dunn, Aknin, and Norton (2008).

Spending money on one's self, whether to solve a problem, fulfill a need, or increase enjoyment, often heightens one's sense of happiness. It is therefore both surprising and important that people can be even happier after spending money on someone else. We conducted a close replication of a key experiment from Dunn, Aknin, and Norton (2008) to verify and expand upon their findings. Participants were given money and randomly assigned to either spend it on themselves or on someone else. Although the original study (N = 46) found that the latter group was happier, when we used the same analysis in our replication (N = 133), we did not observe a significant difference. However, we report an additional analysis, focused on a more direct measure of happiness, that does show a significant effect in the direction of the original. Follow-up analyses shed new insights into people's predictions about their own and others' happiness and their actual happiness when spending money for themselves or others.

A Randomized, Double-Blind, Placebo-Controlled Trial to Assess the Efficacy and Safety of Lactiplantibacillus plantarum CJLP243 in Patients with Functional Diarrhea and High Fecal Calprotectin Levels.

Micro-inflammation in the gut, assessed by fecal calprotectin (FC), is considered a component of the pathogenesis of functional diarrhea (FD). Since probiotics may suppress micro-inflammation in the intestine by competing with harmful bacteria, we hypothesized that they would reduce the ratio of loose stool symptoms and gut inflammation in patients with FD. We conducted a double-blind, placebo-controlled trial to assess the clinical and laboratory effects of Lactobacillus plantarum CJLP243 in FD patients with elevated FC levels for two months. Twenty-four patients diagnosed with FD with elevated FC levels were randomly assigned to either a probiotic group or a placebo group. After 2 months, 10 patients in the probiotic group and 12 patients in the placebo group completed the study, and FD symptoms, FC values, and intestinal flora were re-evaluated in these subjects. The percentage of subjects who had adequate FD relief (decrease in loose stool frequency) in the probiotic group was significantly increased after two months compared with the baseline. In addition, the probiotic group showed a statistically significant decrease in log-transformed FC values compared with the pre-treatment group, whereas the placebo group showed no difference before and after the intervention. Furthermore, the levels of Leuconostoc genus organisms in the gut microbiota composition in the probiotic group increased significantly after the end of the study compared with the baseline values. In this preliminary exploratory research, we found that two months of Lactiplantibacillus plantarum CJLP243 treatment resulted in FD symptom improvement, reduced FC values, and increased Leuconostoc levels, suggesting that the intake of Lactiplantibacillus plantarum was helpful in those patients. These findings need to be validated via further clinical studies.

Deep Learning Algorithms Correctly Classify Brassica rapa Varieties Using Digital Images.

Efficient and accurate methods of analysis are needed for the huge amount of biological data that have accumulated in various research fields, including genomics, phenomics, and genetics. Artificial intelligence (AI)-based analysis is one promising method to manipulate biological data. To this end, various algorithms have been developed and applied in fields such as disease diagnosis, species classification, and object prediction. In the field of phenomics, classification of accessions and variants is important for basic science and industrial applications. To construct AI-based classification models, three types of phenotypic image data were generated from 156 Brassica rapa core collections, and classification analyses were carried out using four different convolutional neural network architectures. The results of lateral view data showed higher accuracy compared with top view data. Furthermore, the relatively low accuracy of ResNet50 architecture suggested that definition and estimation of similarity index of phenotypic data were required before the selection of deep learning architectures.

Responsibility amplifies empathic forecasts.

Inspired by theoretical and empirical work on emotion, psychological distance, moral psychology, and people's tendency to overgeneralize ecologically valid relationships, 3 studies explore whether, why, and for whom responsibility amplifies empathic forecasts (RAEF)-the perception that an intentional agent's social actions will produce stronger affective responses in others than if those same outcomes were to occur randomly or unintentionally. In Study 1, participants thought that pleasant or aversive videos would elicit stronger reactions when participants themselves (instead of the random determination of a computer) would select the video another would watch. This was explained by responsible agents' own stronger reactions to the stimuli. Study 2 identified what about agents' responsibility amplifies empathic forecasts: the combination of clearly causing and intending the other's outcome. Study 3 demonstrated that RAEF need not extend to all responsible agents equally. Participants considered how to divide (vs. how another participant would divide or how a computer would randomly split) $10 with a recipient. In this context, we found the weight of causal responsibility looms larger in the self's mind when the self is responsible for the recipient's fate than when another responsible agent is. Furthermore, the self thought that the recipient's emotional reaction would be more strongly influenced by the size of the self's own (compared to another's or a computer's) allocation decision. The Discussion focuses on how RAEF relates to other models connecting agency and experience, provides initial evidence that RAEF need not be egocentric, and identifies open questions that remain for future research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Overestimating the valuations and preferences of others.

People often make judgments about their own and others' valuations and preferences. Across 12 studies (N = 17,594), we find a robust bias in these judgments such that people overestimate the valuations and preferences of others. This overestimation arises because, when making predictions about others, people rely on their intuitive core representation of the experience (e.g., is the experience generally positive?) in lieu of a more complex representation that might also include countervailing aspects (e.g., is any of the experience negative?). We first demonstrate that the overestimation bias is pervasive for a wide range of positive (Studies 1-5) and negative experiences (Study 6). Furthermore, the bias is not merely an artifact of how preferences are measured (Study 7). Consistent with judgments based on core representations, the bias significantly reduces when the core representation is uniformly positive (Studies 8A-8B). Such judgments lead to a paradox in how people see others trade off between valuation and utility (Studies 9A-9B). Specifically, relative to themselves, people believe that an identically paying other will get more enjoyment from the same experience, but paradoxically, that an identically enjoying other will pay more for the same experience. Finally, consistent with a core representation explanation, explicitly prompting people to consider the entire distribution of others' preferences significantly reduced or eliminated the bias (Study 10). These findings suggest that social judgments of others' preferences are not only largely biased, but they also ignore how others make trade-offs between evaluative metrics. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The vicarious construal effect: Seeing and experiencing the world through different eyes.

That 2 individuals can look at the same stimulus and experience it differently speaks to the power of construal. People's construals are shaped by their idiosyncratic attitudes, belief systems, and personal histories. Eleven studies provide support for and explain the origin of a vicarious construal effect: Considering perspectives one once had but seemingly lost, one ordinarily would have only with more experience, or one would not have had spontaneously, all exerted an assimilative pull on one's ongoing experiences. This means habituation can be slowed or stalled by considering another's fresh perspective (Studies 1-6), desensitization can be preemptively achieved by considering another's stale perspective (Study 5), and the experience of a performance can change by considering how fans or nonfans would see it (Study 7). Blind to the power of construal in defining their experiences, participants believed they were learning about a stimulus's properties or their own underlying preferences, not simply the experience-distorting effects of the perspective manipulations (Studies 6-7). These effects emerged in examinations of positive emotions, negative emotions, interest, and perceptions of humor. The final 2 pairs of studies used causal chain designs to elucidate an underlying mechanism. Trying to understand another's perspective encouraged participants to approach a stimulus by posing different questions or directional hypotheses to themselves (Studies 8a and 9a), which caused participants' own experiences of the stimulus to shift (Studies 8b and 9b). The implications of this account for when considering another's perspective should change one's own experience are detailed. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Bioinformatic analysis of regulation of natural antisense transcripts by transposable elements in human mRNA.

Non-coding RNA is no longer considered to be "junk" DNA, based on evidence uncovered in recent decades. In particular, the important role played by natural antisense transcripts (NATs) in regulating the expression of genes is receiving increasing attention. However, the regulatory mechanisms of NATs remain incompletely understood. It is well-known that the insertion of transposable elements (TEs) can affect gene transcription. Using a bioinformatics approach, we identified NATs using human mRNA sequences from the UCSC Genome Browser Database. Our in silico analysis identified 1079 NATs and 700 sense-antisense gene pairs. We identified 179 NATs that showed evidence of having been affected by TEs during cellular gene expression. These findings may provide an understanding of the complex regulation mechanisms of NATs. If our understanding of NATs as modulators of gene expression is further enhanced, we can develop ways to control gene expression.

Gene selection tool (GST): A R-based tool for genetic disorders based on the sliding-window proportion test using whole-exome sequencing data.

Whole-exome sequencing (WES) can identify causative mutations in hereditary diseases. However, WES data might have a large candidate variant list, including false positives. Moreover, in families, it is more difficult to select disease-associated variants because many variants are shared among members. To reduce false positives and extract accurate candidates, we used a multilocus variant instead of a single-locus variant (SNV). We set up a specific window to analyze the multilocus variant and devised a sliding-window approach to observe all variants. We developed the gene selection tool (GST) based on proportion tests for linkage analysis using WES data. This tool is R program coded and has high sensitivity. We tested our code to find the gene for hereditary spastic paraplegia using SNVs from a specific family and identified the gene known to cause the disease in a significant gene list. The list identified other genes that might be associated with the disease.

Paying more when paying for others.

Social behavior is heavily influenced by the perception of the behaviors of others. We considered how perceptions (and misperceptions) of kindness can increase generosity in economic transactions. We investigated how these perceptions can alter behavior in a novel real-life situation that pitted kindness against selfishness. That situation, consumer elective pricing, is defined by an economic transaction allowing people to purchase goods or services for any price (including zero). Field and lab experiments compared how people behave in 2 financially identical circumstances: pay-what-you-want (in which people are ostensibly paying for themselves) and pay-it-forward (in which people are ostensibly paying on behalf of someone else). In 4 field experiments, people paid more under pay-it-forward than pay-what-you-want (Studies 1-4). Four subsequent lab studies assessed whether the salience of others explains the increased payments (Study 5), whether ability to justify lowered payments (Study 6), and whether the manipulation was operating through changing the perceptions of others (Studies 7 and 8). When people rely on ambiguous perceptions, pay-it-forward leads to overestimating the kindness of others and a corresponding increase in personal payment. When those perceptions are replaced with explicit descriptive norms (i.e., others' payment amounts), that effect is eliminated. Finally, subsequent studies confirmed that the effects were not driven by participant confusion (Studies 9A and 9B) and not limited by the specificity of the referent other in the pay-it-forward framing (Study 9C).