Exploring the Big Five personality tendencies of Chinese plant-based meat consumers

This article aims to deeply analyze the five personality traits of green consumers and explore how these traits affect their consumption behavior towards plant-based meat products. This research examines the plant-based meat products offered by three well-known online retailers in China\u27s e-commerce market using a machine learning algorithm and big data model. The study utilizes the BERT model to analyze the personality traits of green consumers. The research results indicate that a majority of plant-based meat consumers are green consumers with open personalities. This study uniquely integrates personality psychology theory with consumer behavior research in online reviews. The research findings offer a fresh perspective on understanding the intrinsic characteristics and behavioral tendencies of green consumers, while also offering valuable insights for green food enterprises to inform future business decisions

Why does dissolving salt in water decrease its dielectric permittivity

The dielectric permittivity of salt water decreases on dissolving more salt. For nearly a century, this phenomenon has been explained by invoking saturation in the dielectric response of the solvent water molecules. Herein, we employ an advanced deep neural network (DNN), built using data from density functional theory, to study the dielectric permittivity of sodium chloride solutions. Notably, the decrease in the dielectric permittivity as a function of concentration, computed using the DNN approach, agrees well with experiments. Detailed analysis of the computations reveals that the dominant effect, caused by the intrusion of ionic hydration shells into the solvent hydrogen-bond network, is the disruption of dipolar correlations among water molecules. Accordingly, the observed decrease in the dielectric permittivity is mostly due to increasing suppression of the collective response of solvent waters.Comment: has accepted by Physical Review Letter

CYP6AE gene cluster knockout in <i>Helicoverpa armigera</i> reveals role in detoxification of phytochemicals and insecticides

Cotton bollworm is an important agricultural pest with widespread resistance to insecticides. Here Wang et al. identifies CYP6AEs from cotton bollworm involved in detoxifying plant toxins and chemical insecticides through the CRISPR-Cas9-based reverse genetics approach in conjunction with in vitro metabolism

Efficacy and safety of serplulimab in solid tumors: a meta-analysis

ObjectiveThe goal of this study was to investigate the effectiveness and safety of serplulimab in advanced solid tumors through a meta-analysis approach.MethodsAn electronic search was conducted across the Embase, Web of Science, PubMed, and Cochrane Library databases, covering the period from each database’s inception through 6 May 2025. Meta-analysis and related analyses, including subgroup, sensitivity, and publication bias assessments, were performed using Stata 16.0. The Cochrane Risk of Bias Assessment Tool (version 5.1.0) was utilized to measure the quality of randomized controlled trials (RCTs). For single-arm studies, quality was evaluated using the Methodological Index for Non-Randomized Studies (MINORS).ResultsTen studies, including three RCTs and seven single-arm studies, were analyzed, involving 2,020 patients. In the analysis of RCTs, serplulimab significantly elevated overall survival (OS) [HR = 0.68, 95% CI: 0.59–0.79, P &lt; 0.01], disease control rate (DCR) [RR = 1.04, 95% CI: 1.01–1.08, P &lt; 0.05], progression-free survival (PFS) [HR = 0.53, 95% CI: 0.47–0.61, P &lt; 0.01], and objective response rate (ORR) [RR = 1.30, 95% CI: 1.09–1.56, P &lt; 0.01]. The analysis of single-arm studies revealed that the ORR for serplulimab in solid tumors was [ES = 45%, 95% CI: 31%–59%, P &lt; 0.01], and the DCR was [ES = 71%, 95% CI: 63%–80%, P &lt; 0.01]. Among the ten studies, the most common adverse events included reductions in platelet count (0.32, 95% CI: 0.20–0.43), white blood cell count (0.30, 95% CI: 0.17–0.44), anemia (0.29, 95% CI: 0.09–0.48), and proteinuria (0.28, 95% CI: 0.17–0.38).ConclusionBased on current research, serplulimab appears to be effective for solid tumors. However, given the limitations of the studies, for example, possible selection bias in single-arm studies, further multicenter, high-quality, large-sample RCTs are necessary to validate this conclusion

Dissolving salt is not equivalent to applying a pressure on water

Salt water is ubiquitous, playing crucial roles in geological and physiological processes. Despite centuries of investigations, whether or not water’s structure is drastically changed by dissolved ions is still debated. Based on density functional theory, we employ machine learning based molecular dynamics to model sodium chloride, potassium chloride, and sodium bromide solutions at different concentrations. The resulting reciprocal-space structure factors agree quantitatively with neutron diffraction data. Here we provide clear evidence that the ions in salt water do not distort the structure of water in the same way as neat water responds to elevated pressure. Rather, the computed structural changes are restricted to the ionic first solvation shells intruding into the hydrogen bond network, beyond which the oxygen radial-distribution function does not undergo major change relative to neat water. Our findings suggest that the widely cited pressure-like effect on the solvent in Hofmeister series ionic solutions should be carefully revisited.Temple University. College of Science and TechnologyPhysicsChemistr

DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding

Visually-situated languages such as charts and plots are omnipresent in real-world documents. These graphical depictions are human-readable and are often analyzed in visually-rich documents to address a variety of questions that necessitate complex reasoning and common-sense responses. Despite the growing number of datasets that aim to answer questions over charts, most only address this task in isolation, without considering the broader context of document-level question answering. Moreover, such datasets lack adequate common-sense reasoning information in their questions. In this work, we introduce a novel task named document-level chart question answering (DCQA). The goal of this task is to conduct document-level question answering, extracting charts or plots in the document via document layout analysis (DLA) first and subsequently performing chart question answering (CQA). The newly developed benchmark dataset comprises 50,010 synthetic documents integrating charts in a wide range of styles (6 styles in contrast to 3 for PlotQA and ChartQA) and includes 699,051 questions that demand a high degree of reasoning ability and common-sense understanding. Besides, we present the development of a potent question-answer generation engine that employs table data, a rich color set, and basic question templates to produce a vast array of reasoning question-answer pairs automatically. Based on DCQA, we devise an OCR-free transformer for document-level chart-oriented understanding, capable of DLA and answering complex reasoning and common-sense questions over charts in an OCR-free manner. Our DCQA dataset is expected to foster research on understanding visualizations in documents, especially for scenarios that require complex reasoning for charts in the visually-rich document. We implement and evaluate a set of baselines, and our proposed method achieves comparable results

Advances in immunotyping of colorectal cancer

Immunotherapy has transformed treatment for various types of malignancy. However, the benefit of immunotherapy is limited to a minority of patients with mismatch-repair-deficient (dMMR) and microsatellite instability-high (MSI-H) (dMMR-MSI-H) colorectal cancer (CRC). Understanding the complexity and heterogeneity of the tumor immune microenvironment (TIME) and identifying immune-related CRC subtypes will improve antitumor immunotherapy. Here, we review the current status of immunotherapy and typing schemes for CRC. Immune subtypes have been identified based on TIME and prognostic gene signatures that can both partially explain clinical responses to immune checkpoint inhibitors and the prognosis of patients with CRC. Identifying immune subtypes will improve understanding of complex CRC tumor heterogeneity and refine current immunotherapeutic strategies

Can EAT be an INOCA goalkeeper

Ischemia with non-obstructive coronary artery (INOCA) is a blind spot of coronary artery disease (CAD). Such patients are often reassured but offered no specific care, that lead to a heightened risk of adverse cerebrovascular disease (CVD) outcomes. Epicardial adipose tissue (EAT) is proven to correlate independently with CAD and its severity, but it is unknown whether EAT is a specific and sensitive indicator of INOCA. This review focuses on the INOCA epidemiology and related factors, as well as the association between EAT

Advances in reprogramming of energy metabolism in tumor T cells

Cancer is a leading cause of human death worldwide, and the modulation of the metabolic properties of T cells employed in cancer immunotherapy holds great promise for combating cancer. As a crucial factor, energy metabolism influences the activation, proliferation, and function of T cells, and thus metabolic reprogramming of T cells is a unique research perspective in cancer immunology. Special conditions within the tumor microenvironment and high-energy demands lead to alterations in the energy metabolism of T cells. In-depth research on the reprogramming of energy metabolism in T cells can reveal the mechanisms underlying tumor immune tolerance and provide important clues for the development of new tumor immunotherapy strategies as well. Therefore, the study of T cell energy metabolism has important clinical significance and potential applications. In the study, the current achievements in the reprogramming of T cell energy metabolism were reviewed. Then, the influencing factors associated with T cell energy metabolism were introduced. In addition, T cell energy metabolism in cancer immunotherapy was summarized, which highlighted its potential significance in enhancing T cell function and therapeutic outcomes. In summary, energy exhaustion of T cells leads to functional exhaustion, thus resulting in immune evasion by cancer cells. A better understanding of reprogramming of T cell energy metabolism may enable immunotherapy to combat cancer and holds promise for optimizing and enhancing existing therapeutic approaches