Public opinion outweighs knowledge: A dual-process framework for understanding acceptance of genetic modification among scientists and laypeople.

Communication research on scientific issues has traditionally relied on the deficit model, which posits that increasing scientific knowledge leads to public acceptance. However, this model's effectiveness is questioned due to inconclusive impacts of knowledge on acceptance. To address this, we propose a dual-process framework combining the deficit model (with scientific knowledge as a key predictor) and a normative opinion process model (where perceived majority opinion plays a crucial role) to predict people's risk/benefit perceptions and their support for genetic modification (GM).

Chinese scientists' mediated participation in public outreach: Multiple direct and personal norm-mediated predictors.

The rise of new media technologies has reshaped the landscape of science communication. There is little research on scientists' outreach participation and its possible predictors in different media contexts. Based on a national survey of 8,533 scientists in China, this study examined multiple direct and personal norm-mediated predictors of scientists' intentions to participate in public outreach via legacy media versus social media.

Shared Destiny in the Digital Era: Sensation Seeking, Loneliness, and Excessive Internet Use among Middle-Aged and Older Adults in Mainland China.

With digital infrastructures becoming the foundation of modern life and a shared lifestyle, the internet has become a popular leisure tool for middle-aged and elderly individuals. However, inappropriate use of the internet can jeopardize their health and quality of life, and excessive internet use by middle-aged and older adults is a cause for concern. This study found that middle-aged and older adults are vulnerable to excessive internet use.

Unpacking the effects of personality traits on algorithmic awareness: The mediating role of previous knowledge and moderating role of internet use.

The COVID-19 pandemic has accelerated the integration of algorithms in online platforms to facilitate people's work and life. Algorithms are increasingly being utilized to tailor the selection and presentation of online content. Users' awareness of algorithmic curation influences their ability to properly calibrate their reception of online content and interact with it accordingly.

Revisiting Microplastics in Landfill Leachate: Unnoticed Tiny Microplastics and Their Fate in Treatment Works.

Due to the environmental risks caused by microplastics, understanding the sources and characteristics of microplastics and cutting off their routes into the environment are crucial. However, so far, studies on microplastics in the landfill leachate system (a major pathway of microplastics into the environment) are still limited, especially for tiny particles <50 µm that might have higher risks to the environment. This study investigated the microplastics in landfill leachate and in leachate treatment works, with a size detection limit down to 10 µm.

Country Image in COVID-19 Pandemic: A Case Study of China.

Country image has a profound influence on international relations and economic development. In the worldwide outbreak of COVID-19, countries and their people display different reactions, resulting in diverse perceived images among foreign public. Therefore, in this article, we take China as a specific and typical case and investigate its image with aspect-based sentiment analysis on a large-scale Twitter dataset.

High expression of Rap2A is associated with poor prognosis of patients with hepatocellular carcinoma.

Rap2A is overexpressed in a multitude of human cancers and plays an important role in cytoskeleton rearrangement, arteriogenesis and cell migration. However, its role and function in hepatocellular carcinoma (HCC) has not yet been explored. Here, we aimed to investigate the expression of Rap2A in HCC and the relationship between Rap2A and clinicopathologic features of patients.

Arsenite-loaded nanoparticles inhibit the invasion and metastasis of a hepatocellular carcinoma: in vitro and in vivo study.

Postoperative recurrence and metastasis are the major problems for the current treatment of hepatocellular carcinomas (HCC) in the clinic, including hepatectomy and liver transplantation. Here, we report that arsentic-loaded nanoparticles (ALNPs) are able to reduce the invasion of HCC cells in vitro, and, more importantly, can strongly suppress the invasion and metastasis of HCC in vivo without adverse side effects. Compared to free drug arsenic trioxide , ALNPs can deliver the drug into cancer cells more efficiently, destroy the structure of microtubules and reduce the aggregation of microfilaments in cell membranes more significantly.

GABPA predicts prognosis and inhibits metastasis of hepatocellular carcinoma.

Background: Increasing evidence indicates that abnormal expression of GABPA is associated with tumor development and progression. However, the function and clinicopathological significance of GABPA in hepatocellular carcinoma (HCC) remain obscure.

Methods: The mRNA and protein expression of GABPA in HCC clinical specimens and cell lines was examined by real-time PCR and western blotting, respectively.

Albumin-based nanoparticles loaded with hydrophobic gadolinium chelates as T-T dual-mode contrast agents for accurate liver tumor imaging.

Magnetic resonance contrast agents with T-T dual mode contrast capability have attracted considerable interest because they offer complementary and synergistic diagnostic information, leading to high imaging sensitivity and accurate diagnosis. Here, we reported a facile strategy to construct albumin based nanoparticles loaded with hydrophobic gadolinium chelates by hydrophobic interaction for magnetic resonance imaging (MRI). We synthesized a glycyrrhetinic acid-containing Gd-DOTA derivative (GGD) and loaded GGD molecules into BSA nanoparticles to form GGD-BSA nanoparticles (GGD-BSA NPs).

Arsenite-loaded nanoparticles inhibit PARP-1 to overcome multidrug resistance in hepatocellular carcinoma cells.

Hepatocellular carcinoma (HCC) is one of the highest incidences in cancers; however, traditional chemotherapy often suffers from low efficiency caused by drug resistance. Herein, we report an arsenite-loaded dual-drug (doxorubicin and arsenic trioxide, i.e.

The NKD1/Rac1 feedback loop regulates the invasion and migration ability of hepatocarcinoma cells.

Hepatocellular carcinoma (HCC) is complicated by aggressive migration and invasion, which contribute to the increased mortality of HCC patients. The NKD1 protein is abnormally expressed in many neoplasms and plays an important role in tumor progression. However, the regulation and underlying molecular mechanisms of NKD1 in HCC cell invasion and migration remain poorly understood.

The Interplay Between miR-148a and DNMT1 Might be Exploited for Pancreatic Cancer Therapy.

We discovered the expression level of miR-148a significantly decreased in pancreatic cancer tissues whereas that of DNMT1 increased. In ASPC-1 cancer cells, the overexpression of miR-148a led to a decreased level of DNMT1 and reduced the proliferation and metastasis of ASPC-1 cells. Moreover, the increased expression of miR-148a arrested the UTR methylation of p27, giving rise to an increased level of p27.