The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation

IntroductionThis study employed an explanatory sequential design to examine the impact of utilizing automatic speech recognition technology (ASR) with peer correction on the improvement of second language (L2) pronunciation and speaking skills among English as a Foreign Language (EFL) learners. The aim was to assess whether this approach could be an effective tool for enhancing L2 pronunciation and speaking abilities in comparison to traditional teacher-led feedback and instruction.MethodsA total of 61 intermediate-level Chinese EFL learners were randomly assigned to either a control group (CG) or an experimental group (EG). The CG received conventional teacher-led feedback and instruction, while the EG used ASR technology with peer correction. Data collection involved read-aloud tasks, spontaneous conversations, and IELTS speaking tests to evaluate L2 pronunciation and speaking skills. Additionally, semi-structured interviews were conducted with a subset of the participants to explore their perceptions of the ASR technology and its impact on their language learning experience.ResultsThe quantitative analysis of the collected data demonstrated that the EG outperformed the CG in all measures of L2 pronunciation, including accentedness and comprehensibility. Furthermore, the EG exhibited significant improvements in global speaking skill compared to the CG. The qualitative analysis of the interviews revealed that the majority of the participants in the EG found the ASR technology to be beneficial in enhancing their L2 pronunciation and speaking abilities.DiscussionThe results of this study suggest that the utilization of ASR technology with peer correction can be a potent approach in enhancing L2 pronunciation and speaking skills among EFL learners. The improved performance of the EG compared to the CG in pronunciation and speaking tasks demonstrates the potential of incorporating ASR technology into language learning environments. Additionally, the positive feedback from the participants in the EG underscores the value of using ASR technology as a supportive tool in language learning classrooms

An Empirical Study on the Smallest Comfortable Button/Icon Size on Touch Screen

For the convenience of firefighters’ decision-making and operation, touch screen display was chosen as the preferred interface for a fire information display system. Few studies were conducted to determine comfortable button/icon size on touch screens. This experiment investigated the effect of four factors on operators’ performance with touch screen: 1) button size (20*20, 30*30, 40*40, and 50*50 pixels 2), spacing between buttons (0, 5, 10, and 20 pixels), 3) button/icon types (digit buttons only, picture icons only, combination), and 4) glove wearing (wearing vs. not wearing). 14 males were asked to accomplish a series of matching tasks on touch screen with the forefinger of right hand. Results showed that the spacing between buttons/icons, and wearing or not wearing a glove did not affect performance. Subjects pointed to the digit buttons faster than the other two kinds of buttons/icons. There was a significant difference among button/icon sizes. People performed best when it was equal to or bigger than 40*40 pixels

Modeling of Causes of Sina Weibo Continuance Intention with Mediation of Gender Effects

Sina Weibo is a Twitter-like social networking site and one of the most popular microblogging services in China. This study aims to examine the factors that influence the intentions of users to continue using this site. This paper synthesizes the expectation confirmation model (ECM), constructs of habit and perceived critical mass, and the gender effect to construct a theoretical model to explain and predict these user intentions. The model is then tested via an online survey of 498 Sina Weibo users and partial least squares (PLS) modeling. The results indicate that the continuance intention of users is directly predicted by their perceived usefulness of the service (β=0.299), their satisfaction (β=0.208), and their habits (β=0.389), which jointly explain 65.9% of the variance in intention. In addition to the effects of these predictors on the continuance intentions of Sina Weibo users, an assessment of the moderating effect of gender suggests that habit plays a more important role for females than for males in continuance intention, but perceived usefulness seems to be more important for males than for females. The implications of these findings are then discussed

Watermarking for Neural Radiation Fields by Invertible Neural Network

To protect the copyright of the 3D scene represented by the neural radiation field, the embedding and extraction of the neural radiation field watermark are considered as a pair of inverse problems of image transformations. A scheme for protecting the copyright of the neural radiation field is proposed using invertible neural network watermarking, which utilizes watermarking techniques for 2D images to achieve the protection of the 3D scene. The scheme embeds the watermark in the training image of the neural radiation field through the forward process in the invertible network and extracts the watermark from the image rendered by the neural radiation field using the inverse process to realize the copyright protection of both the neural radiation field and the 3D scene. Since the rendering process of the neural radiation field can cause the loss of watermark information, the scheme incorporates an image quality enhancement module, which utilizes a neural network to recover the rendered image and then extracts the watermark. The scheme embeds a watermark in each training image to train the neural radiation field and enables the extraction of watermark information from multiple viewpoints. Simulation experimental results demonstrate the effectiveness of the method

Intranasal administration of NDV-HXP-S COVID19 vaccines induces robust protective mucosal and systemic immunity in mice

With the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continually changing and no end of this pandemic in sight, a next generation of vaccines preventing transmission and an equitable allocation is needed in order to reduce global disease burden. The NDV-HXP-S vaccine is based on recombinant Newcastle disease virus (NDV) stably expressing a membrane-anchored, optimized (with six proline mutations – Hexa Pro) spike protein1. Using the current influenza virus vaccine manufacturing facilities, this vaccine can be produced in embryonated eggs and thereby can meet the demands on a global scale at a low cost. Here, we report that mice vaccinated intranasally (i.n.) with different designs and regimens of our live NDV-HXP-S induced strong antibody response, displaying good systemic as well as mucosal immunity. Furthermore, the T and B cell responses in the lung were characterized via flow cytometry. It is important to emphasize, that we have been able to quickly adapt the vaccine to newly emerging variants of concern (VOC) of SARS-CoV-2. Please click Download on the upper right corner to see the full abstract

Development of a universal group 2 influenza virus vaccine using chimeric hemagglutinin constructs

The stalk domain of the hemagglutinin (HA) has become the prime target for universal influenza virus vaccine development in the last few years. Unlike the HA head domain, the immunosubdominant stalk domain is conserved to a higher level within each influenza virus HA group. Sequential vaccination with chimeric HA (cHA) vaccine constructs consisting of the same HA stalk and exotic head domains has proven to re-direct the immune response towards the stalk domain. This vaccination concept provides the basis for the development of more broadly cross-protective vaccines that are less affected by antigenic drift and shift, one of the main drawbacks of currently marketed influenza vaccines. Most influenza virus vaccines are licensed as inactivated split vaccines. They are manufactured based on HA content with little to no information and standardization of neuraminidase (NA) content. Virus inactivation is generally performed with alkylating agents such as formalin (FA) or β-propiolactone (βPL), rendering the virus unable to infect or replicate. Though safe, whole inactivated virus vaccines can be highly reactogenic. Virus splitting with detergents like sodium deoxycholate (SDCO) and Triton X-100 (TX-100), which dissociate the virus into smaller parts while maintaining a good immunogenicity profile, are typically employed. To date, there are several studies assessing the effect of a variety of inactivating and splitting agents on influenza viruses, but little is known about the impact of combining these agents on HA stalk conformation and NA activity. Please click Download on the upper right corner to see the full abstract

Steganography for Neural Radiance Fields by Backdooring

The utilization of implicit representation for visual data (such as images, videos, and 3D models) has recently gained significant attention in computer vision research. In this letter, we propose a novel model steganography scheme with implicit neural representation. The message sender leverages Neural Radiance Fields (NeRF) and its viewpoint synthesis capabilities by introducing a viewpoint as a key. The NeRF model generates a secret viewpoint image, which serves as a backdoor. Subsequently, we train a message extractor using overfitting to establish a one-to-one mapping between the secret message and the secret viewpoint image. The sender delivers the trained NeRF model and the message extractor to the receiver over the open channel, and the receiver utilizes the key shared by both parties to obtain the rendered image in the secret view from the NeRF model, and then obtains the secret message through the message extractor. The inherent complexity of the viewpoint information prevents attackers from stealing the secret message accurately. Experimental results demonstrate that the message extractor trained in this letter achieves high-capacity steganography with fast performance, achieving a 100\% accuracy in message extraction. Furthermore, the extensive viewpoint key space of NeRF ensures the security of the steganography scheme.Comment: 6 pages, 7 figure

Effect of Ketamine on LTP and NMDAR EPSC in Hippocampus of the Chronic Social Defeat Stress Mice Model of Depression

Depression is a common mental disorder that is associated with memory dysfunction. Ketamine has recently been demonstrated to be a rapid antidepressant. The mechanisms underlying how depression induces memory dysfunction and how ketamine relieves depressive symptoms remain poorly understood. This work compared three groups of male C57BL/6J mice: mice exposed to chronic social defeat stress (CSDS) to induce a depression-like phenotype, depression-like mice treated with ketamine, and control mice that were not exposed to CSDS or treated with ketamine. Spatial working memory and long term memory were assessed by spontaneous alternation Y-maze and fear conditioning tests, respectively. We used western blot to analyze the density of N-methyl-D-aspartate receptor (NMDAR) subunits in the hippocampus. We recorded long term potentiation (LTP) and NMDA receptor-mediated excitatory postsynaptic currents (EPSCs) in hippocampal slices. We observed that compared with control mice, depression-like mice had significant reductions in spatial working memory and contextual fear memory. The level of NR2B, LTP and NMDA receptor-mediated EPSCs of depression-like mice were decreased. Ketamine treatment attenuated the memory impairment, and increased the density of NR2B and the amplitude of LTP and NMDA receptor-mediated EPSCs in the hippocampus of depression-like mice. In conclusion, depression-like mice have deficits in working memory and contextual fear memory. The decrease of NR2B, LTP induction and NMDA receptor-mediated EPSCs in the hippocampus may be involved in this process. Ketamine can improve expression of NR2B, LTP induction and NMDA receptor-mediated EPSCs in the hippocampus of depression-like mice, which might be part of the reason why ketamine can alleviate the memory dysfunction induced by depression

Chimeric Hemagglutinin Constructs Induce Broad Protection against Influenza B Virus Challenge in the Mouse Model.

Seasonal influenza virus epidemics represent a significant public health burden. Approximately 25% of all influenza virus infections are caused by type B viruses, and these infections can be severe, especially in children. Current influenza virus vaccines are an effective prophylaxis against infection but are impacted by rapid antigenic drift, which can lead to mismatches between vaccine strains and circulating strains. Here, we describe a broadly protective vaccine candidate based on chimeric hemagglutinins, consisting of globular head domains from exotic influenza A viruses and stalk domains from influenza B viruses. Sequential vaccination with these constructs in mice leads to the induction of broadly reactive antibodies that bind to the conserved stalk domain of influenza B virus hemagglutinin. Vaccinated mice are protected from lethal challenge with diverse influenza B viruses. Results from serum transfer experiments and antibody-dependent cell-mediated cytotoxicity (ADCC) assays indicate that this protection is antibody mediated and based on Fc effector functions. The present data suggest that chimeric hemagglutinin-based vaccination is a viable strategy to broadly protect against influenza B virus infection.IMPORTANCE While current influenza virus vaccines are effective, they are affected by mismatches between vaccine strains and circulating strains. Furthermore, the antiviral drug oseltamivir is less effective for treating influenza B virus infections than for treating influenza A virus infections. A vaccine that induces broad and long-lasting protection against influenza B viruses is therefore urgently needed

Culturel difference in structure of categories in Denmark and China

There is a difference in how Danish and Chinese people group object, method and concepts into categories. Difference in these points affect the information structure in applications, which involve menus, links and directories. This study involves groups from Chinese and Danish cultures and investigates how these two cultures group cards into different categories and how their cultural backgrounds affect the structure of their categories. Card Sort, Information Structure, Cultural Difference and Usability