Targeting audiences' moral values shapes misinformation sharing.

Does aligning misinformation content with individuals' core moral values facilitate its spread? We investigate this question in three behavioral experiments ( = 615; = 505; ₂ = 533) that examine how the alignment of audience values and misinformation framing affects sharing behavior, in conjunction with analyzing real-world Twitter data ( = 20,235; 809,414 tweets) that explores how aligning the moral values of message senders with misinformation content influences its dissemination in the context of COVID-19 vaccination misinformation. First, we investigate how aligning messages' moral framing with participants' moral values impacts participants' intentions to share true and false news headlines and whether this effect is driven by a lack of analytical thinking. Our results show that framing a post such that it aligns with audiences' moral values leads to increased sharing intentions, independent of headline familiarity, and participants' political ideology but find no effect of analytical thinking.

Attention Score-Based Multi-Vision Transformer Technique for Plant Disease Classification.

This study proposes an advanced plant disease classification framework leveraging the Attention Score-Based Multi-Vision Transformer (Multi-ViT) model. The framework introduces a novel attention mechanism to dynamically prioritize relevant features from multiple leaf images, overcoming the limitations of single-leaf-based diagnoses. Building on the Vision Transformer (ViT) architecture, the Multi-ViT model aggregates diverse feature representations by combining outputs from multiple ViTs, each capturing unique visual patterns.

Enhanced Tolerability and Improved Outcomes in Acne Management: A Real-World Study of Dermocosmetic Adjunctive Therapy.

Background: Topical retinoids, while renowned for their efficacy in treating acne vulgaris, are often hampered by inter-individual variability in tolerability. This challenge, primarily driven by side effects like erythema, scaling, and dryness, significantly impacts patient adherence and, ultimately, treatment outcomes.

Aims: This prospective, multi-center, observational study investigated the novel role of a specific dermocosmetic regimen as adjunctive therapy, focusing on its ability to mitigate retinoid-induced side effects and enhance the overall tolerability of acne treatment regimens in a Korean population.

Using Generalized Linear Mixed Models in the Analysis of Count and Rate Data in Single-case Eperimental Designs: A Step-by-step Tutorial.

Generalized linear mixed models (GLMMs) have great potential to deal with count and rate data in single-case experimental designs (SCEDs). However, applied researchers face challenges to apply such an advanced approach in their own studies. Hence, our study aimed to provide a tutorial and demonstrate a step-by-step procedure of using GLMMs to handle SCED count and rate outcomes.

Extract Ameliorates Testosterone-Induced Benign Prostatic Hyperplasia by Regulating Androgen Levels, Cell Proliferation, and Apoptosis.

Background/objectives: Benign prostatic hyperplasia (BPH) is a prevalent urological condition affecting elderly men. L. (PV), a perennial herbaceous plant native to Europe and Asia, has anti-inflammatory, antioxidant, and antimicrobial effects.