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To understand the self‐priming characteristics of a self‐priming pump, a closed‐loop piping system that includes the self‐priming pump, valve, tank, and piping system is established. The acceleration–constant speed operation processes of the impeller are controlled through a user‐defined function that ensures that the computational model and startup conditions are consistent with the real situation. Based on numerical calculations of the self‐priming process with two different self‐priming heights, the gas–liquid distributions during the self‐priming startup process are obtained. The results show that the self‐priming startup process can be divided into three stages: rapid inhalation, oscillating exhaust, and accelerated exhaust. Under the two self‐priming heights, the time required for the rapid inhalation and accelerated exhaust stages is basically the same. Thus, the difference in self‐priming time is mainly concentrated in the oscillating exhaust stage. The rate at which the liquid level rises in the vertical pipe is not proportional to the self‐priming height, and the difference in the self‐priming time is not proportional to the change in the self‐priming height. [ABSTRACT FROM AUTHOR]

People in modern society are media multitaskers due to portable devices and omnipresent wireless networks, and college students are no exception. Previous studies have indicated that students' media multitasking behaviours in class harm their academic performances, and understanding the reasons for college students' engagement in such behaviour is meaningful. However, the literature takes media multitasking behaviour as an audience behaviour, which ignores the interaction between students and their surroundings. This study fills this gap by emphasizing the role of the social learning process. A survey was conducted in a public and comprehensive university in western China, and a total of 457 valid respondents were obtained. The results from PLS‐SEM revealed that college students' in‐class media multitasking behaviours were influenced by both observational learning (ie, imitating others) and reinforcement learning (ie, in‐class interventions), and this learning process was shaped by students' media multitasking self‐efficacy and self‐management of learning. These findings contribute to the current literature by providing a relatively new perspective for understanding college students' in‐class media multitasking behaviours, and suggestions about how to deal with such behaviours are also provided. Practitioner notesWhat is already known about this topic In‐class media multitasking behaviours (ICMMBs) damage college students' academic performance.College students' ICMMBs are affected by individual factors, such as internet addiction and sensation seeking.Social learning theory is widely adopted as a general theoretical background to explain those behaviours of which possible consequences are easily observed no matter from others or from individuals themselves.What this paper adds This work enriches the media multitasking literature by investigating the predictors of ICMMBs from a relatively new perspective, that is, the social learning perspective.This work also contributes to the literature on media multitasking by examining how the social learning process of college students' ICMMBs differs across students.This work extends the application scope of social learning theory to the context of college students' ICMMBs.Implications for practice and/or policy. The role of imitating others proves the importance of the learning atmosphere in classrooms, so teachers or lecturers should pay special attention to build a learning atmosphere away from ICMMBs.Some in‐class interventions should be established, especially the formal policy of schools to require students to hand in their smartphones or other media before class and students' own mindfulness of such behaviour.Teachers or lecturers should take actions to lower the academic performance expectations of students with higher media multitasking self‐efficacy (MMSE) because students with higher MMSE often overestimate their capabilities to have good performance when conducting other tasks simultaneously. [ABSTRACT FROM AUTHOR]

Metal–organic frameworks (MOFs), renowned for their porous and tunable functionalities, hold significant potential for enhancing perovskite photovoltaic. However, the influence of MOF, particularly those with balanced cations in the pores, on the conversion of bottom‐layer PbI2 and the distribution of MOFs within perovskite remains underexplored. Herein, a newly synthesized Yttrium (Y)‐MOF material is introduced, featuring dimethylamine (DMA) as balanced cations within its pores and strong absorption in UV regime, to modify perovskite films. Y‐MOF, rich in oxygen and nitrogen sites, and featuring DMA within its pores, can passivate uncoordinated Pb2+ in perovskite. Scanning electron microscopy (SEM) and grazing incidence wide‐angle X‐ray scattering (GIWAXS) analysis of the top and bottom surfaces for pristine and Y‐MOF‐assisted perovskite samples reveal that the presence of PbI2 in the Y‐MOF‐assisted perovskite films is negligible. In situ UV–vis analyses demonstrate that the incorporation of Y‐MOF decelerates the crystallization kinetics of perovskite, facilitating the development of larger perovskite grains. Moreover, GIWAXS experiments conducted at different angles reveal the predominant bottom distribution of Y‐MOF within the perovskite, which effectively mitigates the impact of ultraviolet light on the perovskite. Consequently, the Y‐MOF‐assisted devices to achieve an efficiency of 24.05% with improved stability especially the UV‐light stability. [ABSTRACT FROM AUTHOR]

Accurately identifies the cellular composition of complex tissues, which is critical for understanding disease pathogenesis, early diagnosis, and prevention. However, current methods for deconvoluting bulk RNA sequencing (RNA‐seq) typically rely on matched single‐cell RNA sequencing (scRNA‐seq) as a reference, which can be limiting due to differences in sequencing distribution and the potential for invalid information from single‐cell references. Hence, a novel computational method named SCROAM is introduced to address these challenges. SCROAM transforms scRNA‐seq and bulk RNA‐seq into a shared feature space, effectively eliminating distributional differences in the latent space. Subsequently, cell‐type‐specific expression matrices are generated from the scRNA‐seq data, facilitating the precise identification of cell types within bulk tissues. The performance of SCROAM is assessed through benchmarking against simulated and real datasets, demonstrating its accuracy and robustness. To further validate SCROAM's performance, single‐cell and bulk RNA‐seq experiments are conducted on mouse spinal cord tissue, with SCROAM applied to identify cell types in bulk tissue. Results indicate that SCROAM is a highly effective tool for identifying similar cell types. An integrated analysis of liver cancer and primary glioblastoma is then performed. Overall, this research offers a novel perspective for delivering precise insights into disease pathogenesis and potential therapeutic strategies. [ABSTRACT FROM AUTHOR]

This article discusses a study on gene editing in Salvia miltiorrhiza, a plant used in Eastern medicine to treat cardiovascular diseases. The researchers developed a protoplast regeneration system for S. miltiorrhiza using CRISPR/Cas9 gene editing technology. They targeted seven transcription factor genes involved in the production of bioactive compounds in the plant. The study demonstrated high-efficiency gene editing and the regeneration of knockout plants, which could potentially enhance the contents of active compounds in medicinal plants. [Extracted from the article]