Search

The personalized recommendation method is an efficient and effective solution to optimize educational resources, which can effectively extract learners’ preference characteristics and select suitable high-quality educational resources for them to improve teaching efficiency. In this paper, we construct a confidence-aware recommendation model for educational resources. In order to reduce the sparsity problem of rating data, a constraint method based on the implicit factor of user-object interaction is designed to construct the implicit factor of item-user interaction by using the information of a single review. Meanwhile, a confidence matrix is introduced to improve the accuracy of recommendations, and a loss function is constructed using the maximum a posteriori estimation theory. The loss function is optimized by introducing a small batch gradient descent algorithm at the end. Two datasets are used to verify the model’s performance, and the impact on students’ innovation ability is assessed in teaching practice. It is found that the model in this paper outperforms the other three classification models, and the test results on the two datasets of online_shopping_10_cats and Course Classify achieve an accuracy of more than 0.95. The experimental class’s innovation ability increased by 37.6% from 46.25 to 63.63, while the control class’s pre- and post-scores of 46.36 and 47.88 were not significantly different. It can be seen that the experimental class has progressed differently in the four dimensions after applying the model of this paper. This study proposes new ideas and feasible paths for combining the optimal allocation of educational resources with cutting-edge information technology, empowering students’ innovation ability through big data technology.

The fusion of aesthetic education with vocational training constitutes a necessary evolution dictated by both societal progression and the demands of contemporary times, with each element enhancing the other. This study proposes a pathway for the construction of aesthetic education courses tailored to the current educational objectives of vocational undergraduate institutions. It also introduces a teaching model designed to foster aesthetic sensibilities structured around the ADDIE instructional design framework. Moreover, this research employs the 2023 student cohort from HZ Vocational College as subjects for a comparative experimental study to empirically analyze the effectiveness of the aesthetic education teaching approach. An enhanced clustering algorithm, which integrates multi-point optimization, was applied to assess the development of students’ aesthetic spirit. Additionally, a regression analysis model was used to investigate the various factors influencing the cultivation of this aesthetic spirit, providing a comprehensive analysis of the impact of the proposed educational interventions. The results show that after the teaching, the mean values of student evaluation, self-evaluation, parent evaluation, and teacher evaluation in the five aspects of recognizing beauty, experiencing beauty, feeling beauty, appreciating beauty, and creating the beauty of the students in Class A of the sample are higher than those of Class B by 4.90, 4.08, 3.40 and 4.13. Their p-values are all statistically significant at 0.000

In this paper, the propagation law of online teaching knowledge is studied by constructing a learner online teaching interaction network to characterize the position of each learner in this social network. The SI model is used to portray the knowledge dissemination process in the online learning interactive network, fully considering the two types of nodes of teachers and learners as well as the different transfer rates of knowledge dissemination of the two types of nodes, the SI model is improved, and the kinetic equations of knowledge dissemination are constructed. Finally, with the help of Matlab software to simulate the knowledge propagation process in the online English learning of teachers and students, the model was examined, corrected and analyzed, respectively, so as to put forward the optimization strategy of online English teaching interaction mode in colleges and universities. The results show that the path process from t0 to full dissemination is almost the same in the two online learning interaction networks with N1 =2000 and N2 =1000. The higher the degree of connection and participation among learners, the better the interactive learning effect. The optimization strategy for online English teaching interaction modes in colleges and universities proposed in this paper provides certain reference suggestions for improving learners’ interactive learning effectiveness.

Exploring the value and application of red education in college civic education is to inherit the red spirit better. Based on big data analysis technology, this paper constructs a wisdom Civic Education platform to analyze the value and application of red education integration in college Civic Education. Firstly, the density peak clustering algorithm is used to classify and analyze the data of college Civic Education, then the improved fruit fly optimization algorithm is used to filter and analyze the data of the density peak clustering algorithm, and finally, the TCFOA-DPC algorithm is used to mine and analyze the application of red education in college Civic Education. To verify the practicality of the wisdom Civic Education platform constructed in this paper, simulation experiments are conducted to analyze it. From the performance evaluation, the detection rate of red education resources by the platform of this paper can reach 98.27%, the false alarm rate is 2.43%, and the leakage rate is only 0.95%. In terms of application value, the platform of this paper taps into the incentive, attractiveness, inquiry, and identity in red education with percentages of 75.84%, 79.08%, 85.40%, and 81.96%, respectively. Thus, the intelligent Civic Education platform based on big data analysis technology can effectively analyze the application of red education in university Civic Education, which is conducive to increasing the transmission and development of the red spirit.

This paper introduces AI intelligence technology in English distance education and establishes a learning analytics model that includes information collection and acquisition, data storage, cleaning, integration, analysis, visualization, and action. Each component corresponds to a series of specific technologies and processes, and generates information such as learner portrait modeling profiling learning behaviors, using data mining to provide personalized learning solutions for learning. The assessment system is constructed from three perspectives: contextual, cognitive, and technological, which ensures accurate teaching for the personalized needs of English learners. It has been verified that the contextual interaction effect on students’ performance accounts for 78% of the total sample in the English distance education system after applying AI intelligent technology. Students in the experimental class showed positive interest in the distance education system 47.44±7.15, which was significantly higher than that of the control class 29.65±8.21. This integration model provides a new development direction for English distance education, and also provides strong support for personalized teaching and continuous optimization of the educational process.

Anti-AAV neutralizing Abs (NAbs) titer is usually measured by cell-based microneutralization (MN) assay and is crucial for patient screening in AAV-based gene therapy clinical trials. However, achieving uniform operation and comparable results among different laboratories remains challenging. Here, we established a standardized MN assay for anti-AAV9 NAbs in human sera or plasma and transferred the method to the other two research teams. Then, we validated its parameters and tested a set of eight human samples in blind across all laboratories. The end-point titer, defined by a transduction inhibition of 50% (IC50), was calculated using curve-fit modelling. A mouse neutralizing monoclonal antibody in human negative serum was used for system quality control (QC), requiring inter-assay titer variation of <4-fold difference or geometric coefficient of variation (%GCV) of <50%. The assay demonstrated a sensitivity of 54 ng/mL and no cross-reactivity to 20 μg/mL anti-AAV8 MoAb. The intra-assay and inter-assay variation for the low positive QC were 7–35% and 22–41%, respectively. The titers of the blind samples showed excellent reproducibility within and among laboratories, with a %GCV of 18–59% and 23–46%, respectively. This study provides a commonly transferrable MN assay for evaluating anti-AAV9 NAbs in humans, supporting its application in clinical trials. [ABSTRACT FROM AUTHOR]

Background & aimsActivating mutations of PIK3CA occur in various tumour types, including human hepatocellular carcinoma. The mechanisms whereby PIK3CA contributes to hepatocarcinogenesis remain poorly understood.MethodsPIK3CA mutants H1047R or E545K were hydrodynamically transfected, either alone or in combination with NRasV12 or c-Met genes, in the mouse liver.ResultsOverexpression of H1047R or E545K alone was able to induce AKT/mTOR signalling in the mouse liver, leading to hepatic steatosis. However, none of the mice developed liver tumours over long term. In contrast, H1047R or E545K cooperated with NRasV12 or c-Met to rapidly induce liver tumour formation in mice. At the molecular level, all the tumour nodules displayed activation of AKT/mTOR and Ras/MAPK cascades. Ablation of AKT2 significantly inhibited hepatic steatosis induced by H1047R or E545K and carcinogenesis induced by H1047R/c-Met or E545K/c-Met. Furthermore, tumourigenesis induced by H1047R/c-Met was abolished in conditional Raptor knockout mice.ConclusionsBoth H1047R and E545K are able to activate the AKT/mTOR pathway. An intact AKT2/mTOR complex 1 cascade is required for tumourigenesis induced by H1047R/c-Met or E545K/c-Met in the liver.

Background & aimsCumulating evidence underlines the crucial role of aberrant lipogenesis in human hepatocellular carcinoma (HCC). Here, we investigated the oncogenic potential of fatty acid synthase (FASN), the master regulator of de novo lipogenesis, in the mouse liver.MethodsFASN was overexpressed in the mouse liver, either alone or in combination with activated N-Ras, c-Met, or SCD1, via hydrodynamic injection. Activated AKT was overexpressed via hydrodynamic injection in livers of conditional FASN or Rictor knockout mice. FASN was suppressed in human hepatoma cell lines via specific small interfering RNA.ResultsOverexpression of FASN, either alone or in combination with other genes associated with hepatocarcinogenesis, did not induce histological liver alterations. In contrast, genetic ablation of FASN resulted in the complete inhibition of hepatocarcinogenesis in AKT-overexpressing mice. In human HCC cell lines, FASN inactivation led to a decline in cell proliferation and a rise in apoptosis, which were paralleled by a decrease in the levels of phosphorylated/activated AKT, an event controlled by the mammalian target of rapamycin complex 2 (mTORC2). Downregulation of AKT phosphorylation/activation following FASN inactivation was associated with a strong inhibition of rapamycin-insensitive companion of mTOR (Rictor), the major component of mTORC2, at post-transcriptional level. Finally, genetic ablation of Rictor impaired AKT-driven hepatocarcinogenesis in mice.ConclusionsFASN is not oncogenic per se in the mouse liver, but is necessary for AKT-driven hepatocarcinogenesis. Pharmacological blockade of FASN might be highly useful in the treatment of human HCC characterized by activation of the AKT pathway.

Activation of the PI3K and Yes-associated protein (Yap) signaling pathways has been independently reported in human hepatocellular carcinoma (HCC). However, the oncogenic interactions between these two cascades in hepatocarcinogenesis remain undetermined. To assess the consequences of the crosstalk between the PI3K and Yap pathways along liver carcinogenesis, we generated a mouse model characterized by combined overexpression of activated mutant forms of PIK3CA (PIK3CAH1047R) and Yap (YapS127A) in the mouse liver using hydrodynamic transfection (PIK3CA/Yap). In addition, suppression of PI3K and Yap pathways was conducted in human HCC and cholangiocarcinoma (CCA) cell lines. We found that concomitant activation of PI3K and Yap pathways triggered rapid liver tumor development in mice. Histologically, tumors were pure HCC, CCA, or mixed HCC/CCA. At the molecular level, PIK3CA/Yap tumors were characterized by activation of the mTORC1/2, ERK/MAPK, and Notch pathways. Simultaneous activation of PI3K and Yap pathways frequently occurred in human liver tumor specimens and their combined suppression was highly detrimental for the growth of HCC and CCA cell lines. In conclusion, our study demonstrates the oncogenic cooperation between PI3K and Yap pathways along liver carcinogenesis. The PIK3CA/Yap mouse represents an important preclinical liver tumor model for the development of novel therapeutics against this malignancy.

Mounting evidence indicates that S-Phase Kinase-Associated Protein 2 (SKP2) is overexpressed in human hepatocellular carcinoma (HCC). However, the role of SKP2 in hepatocarcinogenesis remains poorly delineated. To elucidate the function(s) of SKP2 in HCC, we stably overexpressed the SKP2 gene in the mouse liver, either alone or in combination with activated forms of N-Ras (N-RasV12), AKT1 (myr-AKT1), or β-catenin (ΔN90-β-catenin) protooncogenes, via hydrodynamic gene delivery. We found that forced overexpression of SKP2, N-RasV12 or ΔN90-β-catenin alone as well as co-expression of SKP2 and ΔN90-β-catenin did not induce liver tumor development. Overexpression of myr-AKT1 alone led to liver tumor development after long latency. In contrast, co-expression of SKP2 with N-RasV12 or myr-AKT1 resulted in early development of multiple hepatocellular tumors in all SKP2/N-RasV12 and SKP2/myr-AKT1 mice. At the molecular level, preneoplastic and neoplastic liver lesions from SKP2/N-RasV12 and SKP2/myr-AKT1 mice exhibited a strong induction of AKT/mTOR and Ras/MAPK pathways. Noticeably, the tumor suppressor proteins whose levels have been shown to be downregulated by SKP2-dependent degradation in various tumor types, including p27, p57, Dusp1, and Rassf1A were not decreased in liver lesions from SKP2/N-RasV12 and SKP2/myr-AKT1 mice. In human HCC specimens, nuclear translocation of SKP2 was associated with activation of the AKT/mTOR and Ras/MAPK pathways, but not with β-catenin mutation or activation. Altogether, the present data indicate that SKP2 cooperates with N-Ras and AKT proto-oncogenes to promote hepatocarcinogenesis in vivo.

UnlabelledConcomitant expression of activated forms of v-akt murine thymoma viral oncogene homolog (AKT) and Ras in mouse liver (AKT/Ras) leads to rapid tumor development through strong activation of the mammalian target of rapamycin complex 1 (mTORC1) pathway. mTORC1 functions by regulating p70S6K/ribosomal protein S6 (RPS6) and eukaryotic translation initiation factor 4E-binding protein 1/ eukaryotic translation initiation factor 4E (4EBP1/eIF4E) cascades. How these cascades contribute to hepatocarcinogenesis remains unknown. Here, we show that inhibition of the RPS6 pathway by rapamycin effectively suppressed, whereas blockade of the 4EBP1/eIF4E cascade by 4EBP1A4, an unphosphorylatable form of 4EBP1, significantly delayed, AKT/Ras-induced hepatocarcinogenesis. Combined treatment with rapamycin and 4EBP1A4 completely inhibited AKT/Ras hepatocarcinogenesis. This strong antineoplastic effect was successfully recapitulated by ablating regulatory associated protein of mTORC1, the major subunit of mTORC1, in AKT/Ras-overexpressing livers. Furthermore, we demonstrate that overexpression of eIF4E, the proto-oncogene whose activity is specifically inhibited by 4EBP1, resulted in hepatocellular carcinoma (HCC) development in cooperation with activated Ras. Mechanistically, we identified the ectonucleoside triphosphate diphosphohydrolase 5/ adenylate kinase 1/cytidine monophosphate kinase 1 axis and the mitochondrial biogenesis pathway as targets of the 4EBP1/eIF4E cascade in AKT/Ras and Ras/eIF4E livers as well as in human HCC cell lines and tissues.ConclusionsComplete inhibition of mTORC1 is required to suppress liver cancer development induced by AKT and Ras proto-oncogenes in mice. The mTORC1 effectors, RPS6 and eIF4E, play distinct roles and are both necessary for AKT/Ras hepatocarcinogenesis. These new findings might open the way for innovative therapies against human HCC.