Stabilization of polymer colloid dispersions with pH-sensitive poly-acrylic acid brushes

Polyelectrolyte brushes are widely used for surface modification of nano-and colloidal particles because of their ability to dramatically change their conformation, hydrophobicity, polarity, charge, etc., as a response to smooth variations in environmental conditions. In this work, we have studied experimentally the stability behavior of polymer colloids with grafted poly-acrylic acid (PAA) surface brushes. We have measured the Fuchs stability ratio (W) as a function of electrolyte concentrations at different pH. It is observed that at pH  8), since most of the carboxylic groups are ionized, the colloidal stability is much higher than that at pH ~ 5. However, the W values are basically the same with 1% and 2% PAA, implying that the contribution of the ionized AA in the two cases is practically the same. This experimental evidence indicates that only the ionized AA groups in the outer region of long brushes contribute to colloidal stability, thus supporting the hypothesis of local electroneutrality in the inner region of long brushes (LEA

Modelling the antecedents of consumers' willingness to pay for eco‐labelled food products

The purpose of this paper is to model the antecedents of consumers' willingness to pay for eco‐labelled food products. This research utilizes the Theory of Planned Behaviour to model the impact of consumers' awareness of eco‐labels, environmental concerns, beliefs in the environmental ability of eco‐labels, and presence of children on their willingness to pay for eco‐labelled food products. This study uses structural equational modelling and PROCESS macros, to test the moderated mediation model on a sample of 333 online responses. Findings suggest the impact of consumers' environmental concerns and eco‐label awareness on their willingness to pay for eco‐labelled food products is partially mediated by consumers' belief in the environmental ability of these eco‐labels. The relationship is further moderated by the presence of children living in the household. This study establishes the value of consumers' beliefs in the environmental ability of eco‐labels and implies that communication strategies need to be carefully refined to provide consumers with more information about eco‐labels and to emphasize the environmental ability of eco‐labels utilized within the food industry as this can have an impact on their willingness to pay for these products, especially for consumers, who have children in the same household

Language Models as Inductive Reasoners

Inductive reasoning is a core component of human intelligence. In the past research of inductive reasoning within computer science, formal language is used as representations of knowledge (facts and rules, more specifically). However, formal language can cause systematic problems for inductive reasoning such as disability of handling raw input such as natural language, sensitiveness to mislabeled data, and incapacity to handle ambiguous input. To this end, we propose a new paradigm (task) for inductive reasoning, which is to induce natural language rules from natural language facts, and create a dataset termed DEER containing 1.2k rule-fact pairs for the task, where rules and facts are written in natural language. New automatic metrics are also proposed and analysed for the evaluation of this task. With DEER, we investigate a modern approach for inductive reasoning where we use natural language as representation for knowledge instead of formal language and use pretrained language models as ''reasoners''. Moreover, we provide the first and comprehensive analysis of how well pretrained language models can induce natural language rules from natural language facts. We also propose a new framework drawing insights from philosophy literature for this task, which we show in the experiment section that surpasses baselines in both automatic and human evaluations. We discuss about our future perspectives for inductive reasoning in Section 7. Dataset and code are available at https://github.com/ZonglinY/Inductive_Reasoning.Comment: Accepted by EACL 202

Modelling the antecedents of consumers’ willingness to pay for eco-labelled food products

The purpose of this paper is to model the antecedents of consumers’ willingness-to-pay for eco-labelled food products. This research utilises the Theory of Planned Behaviour (TPB) to model the impact of consumers’ awareness of eco-labels, environmental concerns, beliefs in the environmental ability of eco-labels, and presence of children on their willingness to pay for eco-labelled food products. This study uses Structural Equational Modelling (SEM) and PROCESS macros, to test the moderated mediation model on a sample of 333 online responses. Findings suggest the impact of consumers’ environmental concerns and eco-label awareness on their willingness-to-pay for eco-labelled food products is partially mediated by consumers' belief in the environmental ability of these eco-labels. The relationship is further moderated by the presence of children living in the household. This study establishes the value of consumers’ beliefs in the environmental ability of eco-labels and implies that communication strategies need to be carefully refined to provide consumers with more information about eco-labels and to emphasise the environmental ability of eco-labels utilised within the food industry as this can have an impact on their willingness to pay for these products especially for consumers, who have children in the same household

Effective synthesis of circRNA via a thermostable T7 RNA polymerase variant as the catalyst

Introduction:Circular RNAs (circRNAs) are endogenous noncoding RNAs (ncRNAs) with transcriptional lengths ranging from hundreds to thousands. circRNAs have attracted attention owing to their stable structure and ability to treat complicated diseases. Our objective was to create a one-step reaction for circRNA synthesis using wild-type T7 RNA polymerase as the catalyst. However, T7 RNA polymerase is thermally unstable, and we streamlined circRNA synthesis via consensus and folding free energy calculations for hotspot selection. Because of the thermal instability, the permuted intron and exon (PIE) method for circRNA synthesis is conducted via tandem catalysis with a transcription reaction at a low temperature and linear RNA precursor cyclization at a high temperature.Methods:To streamline the process, a multisite mutant T7 RNA polymerase (S430P, N433T, S633P, F849I, F880Y, and G788A) with significantly improved thermostability was constructed, and G788A was used.Results:The resulting mutant exhibited stable activity at 45°C for over an hour, enabling the implementation of a one-pot transcription and cyclization reaction. The simplified circRNA production process demonstrated an efficiency comparable to that of the conventional two-step reaction, with a cyclization rate exceeding 95% and reduced production of immunostimulatory dsRNA byproducts

Research progress on the PEGylation of therapeutic proteins and peptides (TPPs)

With the rapid advancement of genetic and protein engineering, proteins and peptides have emerged as promising drug molecules for therapeutic applications. Consequently, there has been a growing interest in the field of chemical modification technology to address challenges associated with their clinical use, including rapid clearance from circulation, immunogenicity, physical and chemical instabilities (such as aggregation, adsorption, deamination, clipping, oxidation, etc.), and enzymatic degradation. Polyethylene glycol (PEG) modification offers an effective solution to these issues due to its favorable properties. This review presents recent progress in the development and application of PEGylated therapeutic proteins and peptides (TPPs). For this purpose, firstly, the physical and chemical properties as well as classification of PEG and its derivatives are described. Subsequently, a detailed summary is provided on the main sites of PEGylated TPPs and the factors that influence their PEGylation. Furthermore, notable instances of PEG-modified TPPs (including antimicrobial peptides (AMPs), interferon, asparaginase and antibodies) are highlighted. Finally, we propose the chemical modification of TPPs with PEG, followed by an analysis of the current development status and future prospects of PEGylated TPPs. This work provides a comprehensive literature review in this promising field while facilitating researchers in utilizing PEG polymers to modify TPPs for disease treatment

Two types of mirror mode waves in the Kronian magnetosheath

A mirror mode wave is a fundamental magnetic structure in the planetary space environment that is persistently compressed by solar wind, especially in the magnetosheath. Mirror modes have been widely identified in the magnetosheaths of the Earth and other planets in the solar system, yet the understanding of mirror mode waves on extraterrestrial planets is not as comprehensive as that on the Earth. Using magnetic field data collected by the Cassini spacecraft, we found peak and dip types according to the magnetic morphology (i.e., structures with higher or lower magnetic strengths than the background field). Moreover, mirror mode waves and electromagnetic ion cyclotron waves were found one after the other, implying that the two wave modes may evolve into one another in the Kronian magnetosheath. The results indicate that many fundamental plasma processes associated with the mirror mode structure exist in the Kronian magnetosheath. The energy conversion in Saturn’s magnetosheath may provide key insights that will aid in understanding giant planetary magnetospheric processes