An Investigation into the Factors Influencing Secondary School Students’ Deep Learning of English in a Dual-Line Blended Teaching Model

With the development of information technology, online teaching has gradually developed to the stage of dual-line blended teaching, but the current development level is not yet high, and it is not deeply integrated with subject teaching. This study aims to clarify the factors influencing secondary school students’ deep learning of English under the dual-line blended teaching mode. To this end, the article first proposes a hypothesis on the factors influencing secondary school students’ deep learning of English in a dual-line blended teaching model. The article then used questionnaires and structural equation modelling to test the hypotheses and validate the model. The results found that: secondary school students’ English deep learning level is moderate; deep learning is influenced by student factors, teacher factors, interaction factors and environmental factors. Finally, the article proposes suggestions for improving the four factors: students, teachers, interaction and environment, to promote the development of a t dual-line mixed-integration teaching model, cultivate secondary school students’ higher-order thinking skills, develop their English core literacy, and thus achieve meaningful learning

An Investigation into the Factors Influencing Secondary School Students Deep Learning of English in a Dual-Line Blended Teaching Model

With the development of information technology online teaching has gradually developed to the stage of dualline blended teaching but the current development level is not yet high and it is not deeply integrated with subject teaching This study aims to clarify the factors influencing secondary school students deep learning of English under the dual-line blended teaching mode To this end the article first proposes a hypothesis on the factors influencing secondary school students deep learning of English in a dual-line blended teaching model The article then used questionnaires and structural equation modelling to test the hypotheses and validate the model The results found that secondary school students English deep learning level is moderate deep learning is influenced by student factors teacher factors interaction factors and environmental factors Finally the article proposes suggestions for improving the four factors students teachers interaction and environment to promote the development of a t dual-line mixed-integration teaching model cultivate secondary school students higher-order thinking skills develop their English core literacy and thus achieve meaningful learnin

Light Dependent Regulation of Sleep/Wake States by Prokineticin 2 in Larval Zebrafish

Sleep is an evolutionarily conserved behavior and essential to survival. The classic two process model of sleep regulation proposes that sleep results from the interaction between circadian and homeostatic processes, but the details remain elusive. Most sleep research is performed using nocturnal rodents, and diurnal vertebrates are under-represented. It is unclear whether circadian regulatory mechanisms of sleep in nocturnal animals can be directly translated into diurnal animals. In this thesis, I first briefly describe sleep behavior and the two process model of sleep regulation, focusing on the circadian process, and then discuss the advantages of using larval zebrafish as a model to study sleep behavior in diurnal vertebrates. In Chapter 2, I characterize the role of Prokineticin 2, a proposed circadian output factor in nocturnal animals, in sleep/wake regulation in larval zebrafish. I show that, similar to nocturnal rodents, Prok2 is both necessary for daytime sleep/wake behavior and sufficient to modulate sleep/wake states in a light dependent manner. However, unlike nocturnal rodents and similar to humans, Prok2 is not required for maintaining circadian rhythmicity in larval zebrafish after removing external light cue. This result demonstrates the potential functional difference of circadian output factors in different chronotypes, and establishes larval zebrafish as an alternative model for studying circadian regulation of sleep and possibly other behaviors in humans. In Chapter 3, I describe the adaptation and development of TRP channels to manipulate neuronal activity in larval zebrafish, in an effort to expand the existing repertoire of genetic tools for studying behavior in zebrafish. I show that three TRP channels, TRPV1, TRPM8 and TRPA1, can inducibly activate specific populations of neurons in larval zebrafish by using their appropriate agonists. At high agonist concentrations, TRPV1, can rapidly induce cell ablation. Adaptation of TRP channels for use in larval zebrafish expands the variety of behavioral experiments and combinatorial manipulation of neuronal activity that can be performed in zebrafish. In summary, this work deepens our understanding of sleep regulation, establishes larval zebrafish as an appropriate model for studying circadian regulation of sleep in diurnal vertebrates, and presents novel genetic tools for studying behavior in larval zebrafish

DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors

Camera-based 3D object detectors are welcome due to their wider deployment and lower price than LiDAR sensors. We revisit the prior stereo modeling DSGN about the stereo volume constructions for representing both 3D geometry and semantics. We polish the stereo modeling and propose our approach, DSGN++, aiming for improving information flow throughout the 2D-to-3D pipeline in the following three main aspects. First, to effectively lift the 2D information to stereo volume, we propose depth-wise plane sweeping (DPS) that allows denser connections and extracts depth-guided features. Second, for better grasping differently spaced features, we present a novel stereo volume -- Dual-view Stereo Volume (DSV) that integrates front-view and top-view features and reconstructs sub-voxel depth in the camera frustum. Third, as the foreground region becomes less dominant in 3D space, we firstly propose a multi-modal data editing strategy -- Stereo-LiDAR Copy-Paste, which ensures cross-modal alignment and improves data efficiency. Without bells and whistles, extensive experiments in various modality setups on the popular KITTI benchmark show that our method consistently outperforms other camera-based 3D detectors for all categories. Code will be released at https://github.com/chenyilun95/DSGN2

Light-Dependent Regulation of Sleep and Wake States by Prokineticin 2 in Zebrafish

Light affects sleep and wake behaviors by providing an indirect cue that entrains circadian rhythms and also by inducing a direct and rapid regulation of behavior. While circadian entrainment by light is well characterized at the molecular level, mechanisms that underlie the direct effect of light on behavior are largely unknown. In zebrafish, a diurnal vertebrate, we found that both overexpression and mutation of the neuropeptide prokineticin 2 (Prok2) affect sleep and wake behaviors in a light-dependent but circadian-independent manner. In light, Prok2 overexpression increases sleep and induces expression of galanin (galn), a hypothalamic sleep-inducing peptide. We also found that light-dependent, Prok2-induced sedation requires prokineticin receptor 2 (prokr2) and is strongly suppressed in galn mutants. These results suggest that Prok2 antagonizes the direct wake-promoting effect of light in zebrafish, in part through the induction of galn expression in the hypothalamus

CRIT:Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization

Circular RNAs (circRNAs) are endogenous non-coding RNAs that regulate gene expression and participate in carcinogenesis. However, the RNA-binding proteins (RBPs) involved in circRNAs biogenesis and modulation remain largely unclear. We developed the circRNA regulator identification tool (CRIT), a non-negative matrix-factorization-based pipeline to identify regulating RBPs in cancers. CRIT uncovered 73 novel regulators across thousands of samples by effectively leveraging genomics data and functional annotations. We demonstrated that known RBPs involved in circRNA control are significantly enriched in these predictions. Analysis of circRNA-RBP interactions using two large cross-linking immunoprecipitation (CLIP) databases, we validated the consistency between CRIT prediction and the CLIP experiments. Furthermore, newly discovered RBPs are functionally connected with authentic circRNA regulators by various biological associations, such as physical interaction, similar binding motifs, common transcription factor modulation, and co-expression. When analyzing RNA sequencing (RNA-seq) datasets after short hairpin RNA (shRNA)/small interfering RNA (siRNA) knockdown, we found several novel RBPs that can affect global circRNA expression, which strengthens their role in the circRNA life cycle. The above evidence provided independent confirmation that CRIT is a useful tool to capture RBPs in circRNA processing. Finally, we show that authentic regulators are more likely the core splicing proteins and peripheral factors and usually harbor more alterations in the vast majority of cancers

Effects of florfenicol exposure during early life on toxicity, gut microbiota, and fecal metabolome in SD rats

Florfenicol (FLO) is a third-generation veterinary antibiotic with a high residue detection rate in food, which cause the toxicity of FLO even at low doses, receiving notable attention. The impact of FLO exposure during early life on health and gut microbiota is still unclear. Here, the effects of FLO exposure on toxicity, gut microbiota, drug resistance genes, and the fecal metabolome during early life were investigated in suckling Sprague-Dawley (SD) rats. The results showed that FLO exposure during early life significantly increased the body weight, and WBC and LY levels in the blood, induced inflammation in the liver and intestines. FLO had a dose-dependent effect on the alpha and beta diversity of the gut microbiota, increasing the ratio of Firmicutes to Bacteroides and the abundance of some pathogenic bacteria, and changing the abundance of bacteria related to energy metabolism and inflammation, also promoted the enrichment of drug resistance genes. The fecal metabolome also demonstrated the effect of FLO exposure on metabolic pathways related to energy metabolism and inflammation. In conclusion, this research shows that FLO exposure during early life can lead to excessive weight gain, an inflammatory response, gut microbiota imbalance, the enrichment of drug resistance genes, and effects on related metabolic pathways

A large-scale in vivo analysis reveals that TALENs are significantly more mutagenic than ZFNs generated using context-dependent assembly

Zinc-finger nucleases (ZFNs) and TAL effector nucleases (TALENs) have been shown to induce targeted mutations, but they have not been extensively tested in any animal model. Here, we describe a large-scale comparison of ZFN and TALEN mutagenicity in zebrafish. Using deep sequencing, we found that TALENs are significantly more likely to be mutagenic and induce an average of 10-fold more mutations than ZFNs. We observed a strong correlation between somatic and germ-line mutagenicity, and identified germ line mutations using ZFNs whose somatic mutations rates are well below the commonly used threshold of 1%. Guidelines that have previously been proposed to predict optimal ZFN and TALEN target sites did not predict mutagenicity in vivo. However, we observed a significant negative correlation between TALEN mutagenicity and the number of CpG repeats in TALEN target sites, suggesting that target site methylation may explain the poor mutagenicity of some TALENs in vivo. The higher mutation rates and ability to target essentially any sequence make TALENs the superior technology for targeted mutagenesis in zebrafish, and likely other animal models