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This paper aims to illustrate how first-generation immigrant youth who are English language learners respond to graphic novels and what literacies they acquire from reading and discussing graphic texts.

This paper is based on qualitative discourse data collected from an afterschool program with five high-school-aged English-language learners and their teacher. The afterschool program is centered on reading and discussing graphic novels.

Transcript analysis showed that the girls, even while working to “break” the written code, were engaged in critical analysis. In other words, English learners’ struggles to decode the words did not hinder them in assuming the role of a text analyst, and in questioning the creator’s message, purposes and worldviews.

This paper, which draws on an approach wherein the researcher pays close attention to immigrant youth as language users and meaning makers, can inform the methodologies of literacy and language researchers.

The paper can also inform the work of educators who are interested in pedagogical supports – texts and practices – that promote powerful language and literacy.

This paper is timely, given not only the challenges and possibilities associated with educating recent-arrival immigrant youth and English-language learners, but also the growing interest by language and literacy educators in the role of multimodal texts for developing multiple and critical literacies of all students.

The existing three-stage network Data Envelopment Analysis (DEA) models with shared input are self-assessment model that are prone to extreme efficiency scores in pursuit of decision-making units (DMUs) efficiency maximization. This study aims to solve the sorting failure problem of the three-stage network DEA model with shared input and applies the proposed model to evaluate innovation resource allocation efficiency of Chinese industrial enterprises.

A three-stage network cross-DEA model considering shared input is proposed by incorporating the cross-efficiency model into the three-stage network DEA model. An application of the proposed model in the innovation resource allocation of industrial enterprise is implemented in 30 provinces of China during 2015–2019.

The efficiency of DMU would be overestimated if the decision-maker preference is overlooked. Moreover, the innovation resource allocation performance of Chinese industrial enterprises had a different spatial distribution, with high in eastern and central China and low in western China. Eastern China was good at knowledge production and technology development but not good at commercial transformation. Northeast China performed well in technology development and commercial conversion but not in knowledge production. The central China did not perform well in terms of technology development.

A three-stage network DEA model with shared input is proposed for the first time, which makes up for the problem of sorting failure of the general three-stage network model.

Visitor center plays an important role in the normal operation and sustainable development of scenic spots, especially as a portal image of its management. This paper presents resilience theory for visitor centers to identify some common issues in designing visitor centers in China scenic spots, including the lack of function, loss of architectural characteristics, and difficultly in adapting to changes in the number of visitors with periodic variations. The framework of resilience theory was set from four dimensions, namely, resilience and match in the composition of ontology function, the extended function, integration of buildings into the surrounding environment, and alternative construction technologies and materials. This theory was explained and analyzed with the application of the theory in practice in combination with the design of Mount Hua visitor center. Results showed that resilience theory yields good application effect.

This paper aims to describe a novel hybrid inertial measurement unit (IMU) for motion capturing via a new configuration of strategically distributed inertial sensors, and a calibration approach for the accelerometer and gyroscope sensors mounted in a flight vehicle motion tracker built on the inertial navigation system.

The hybrid-IMU is designed with five accelerometers and one auxiliary gyroscope instead of the accelerometer and gyroscope triads in the conventional IMU.

Simulation studies for tracking with both attitude angles and translational movement of a flight vehicle are conducted to illustrate the effectiveness of the proposed method.

The cross-quadratic terms of angular velocity are selected to process the direct measurements of angular velocities of body frame and to avoid the integration of angular acceleration vector compared with gyro-free configuration based on only accelerometers. The inertial sensors are selected from the commercial microelectromechanical system devices to realize its low-cost applications.

The 1997-98 financial crisis has had a profound effect on how East Asian economies the role of the IMF and its strategic interests relative to those of the United States in the international financial regime. It has prompted them to create a regional mechanism for financial and monetary cooperation, ranging from deeper policy dialogue and surveillance, to a system of financial cooperation, and common exchange rate arrangements. This paper analyses the economic and strategic motivations behind this and outlines recent developments in financial cooperation in East Asia to provide possible directions for the future.

A network of bilateral swap arrangements under the Chiang Mai Initiative(CMI) needs stronger policy dialogue and surveillance to develop into a regional financing facility, a sort of East Asian IMF. The facility plays a role as an regional lender of last resort, providing short-term funds to a member country facing a temporary liquidity shortage and for market intervention to stabilize foreign exchange rate. East Asian countries need to achieve regional exchange rate stability. In the long run, the region may develop a common currency arrangement, but it cannot be expected in the very near future because there is no convergence of macroeconomic conditions, economic structure and systems. A realistic approach would be for East Asian developing countries to adopt a currency basket system to minimize the impact of dollar/yen exchange rate volatility on their economies. Strong political will and a vision for regional integration will be required to introduce it.

This paper aims to develop a robot for tightening charged bolt to solve the shortcomings of high labor intensity, low efficiency, high risk and poor reliability in artificially tightening drainage board bolt of strain clamp for high voltage transmission line. Realizing bolt-nut capture and location by manipulator is a critical process to complete the whole working task. To solve such key technology, an autonomous location control method for N-joint robot manipulator based on kinematics was proposed.

Through D-H kinematics analysis under flexible working environment of transmission line, the autonomous location control of double manipulators can be abstracted as a nonlinear approximation problem based on joint inverse kinematics. In addition, regarding the complex coupling relationship among different joint angles and the complex decoupling process which leads to the non-uniqueness of inverse solution, an improved backpropagation (BP) network was proposed based on the combination of dynamic adaptive adjustment of learning rate and variable momentum factor, so that the inverse kinematics of manipulator can be solved and the optimization evaluation mechanism of inverse solution can be presented. The proposed autonomous location control method is of adaptability to flexible environment and structural parameters of different drainage boards. The simulation results verified the effectiveness of the proposed method. Compared with the other location control, this method can achieve faster location speed, higher precision and lower hardware cost. Finally, the field operation test further validated that such autonomous location control method was of strong engineering practicability.

The proposed autonomous location control method is adaptable to a flexible environment and to the structural parameters of different types of drainage board. Simulation results confirm the effectiveness of the proposed method, which, in comparison with other approaches to location control, can achieve faster location, higher precision and lower hardware cost. Finally, a field test further confirms the engineering practicability of the proposed autonomous location control method.

The proposed method can achieve faster location speed, higher precision which meet the requirement of real-time control relative to the standard BP algorithm. Moreover, it is of strong adaptability to flexible environment and structural parameters for different drainage board. Field operation experiment further validated the engineering practicability of the method.

The aim of this study was to investigate the impact of the transactive memory system (TMS) on green innovation and examine the mediation role of the social network at all hierarchical levels.

Three hypotheses were examined by performing regression analyses on survey data from manufacturing firms in China. Especially, the nested sets of data from 389 individual observations nested in 53 work teams, including individual level and collective level have been investigated.

The study results show that the TMS has a positive effect on green innovation. Furthermore, the results indicate that at the team level, structure holes' mediation in this relationship is stronger than degree centrality; at the individual level, weak ties mediation in the relationship of specialization and green innovation is stronger than strong ties, conversely, strong ties mediation in the relationship of credibility and green innovation is stronger than weak ties.

This study expands previous research by highlighting the significance of multilevel social network elements in the context of the TMS and sustainable development and enriches the present research on green innovation.

This research takes Taijiang National Park (TNP) tourists as the study population while gathering the survey data via an online questionnaire. For the data analyses, it uses the importance–performance analysis (IPA) and the Kano two-dimensional quality model to evaluate the tourist satisfaction of TNP. Specifically, it considers the importance of service quality, classifies its service quality attributes, and suggests the priority for service improvement, rendering the TNP valuable reference points to realign service strategies. The study shows that the service quality attributes related to service personnel are the priority item to be improved, which could eventually enhance tourist satisfaction. In addition, brand differentiation could be achieved by improving the attractive quality items identified in this study to enhance tourist loyalty.

This study aims to establish a comprehensive satisfaction analysis framework by mining online restaurant reviews, which can not only accurately reveal consumer satisfaction but also identify factors leading to dissatisfaction and further quantify improvement opportunity levels.

Adopting deep learning, Cross-Bidirectional Encoder Representations Transformers (BERT) model is developed to measure customer satisfaction. Furthermore, opinion mining technique is used to extract consumers’ opinions and obtain dissatisfaction factors. Furthermore, the opportunity algorithm is introduced to quantify attributes’ improvement opportunity levels. A total of 19,133 online reviews of 31 restaurants in Universal Beijing Resort are crawled to validate the framework.

Results demonstrate the superiority of Cross-BERT model compared to existing models such as sentiment lexicon-based model and Naïve Bayes. More importantly, after effectively unveiling customer dissatisfaction factors (e.g. long queuing time and taste salty), “Dish taste,” “Waiters’ attitude” and “Decoration” are identified as the three secondary attributes with the greatest improvement opportunities.

The proposed framework helps managers, especially in the restaurant industry, accurately understand customer satisfaction and reasons behind dissatisfaction, thereby generating efficient countermeasures. Especially, the improvement opportunity levels also benefit practitioners in efficiently allocating limited business resources.

This work contributes to hospitality and tourism literature by developing a comprehensive customer satisfaction analysis framework in the big data era. Moreover, to the best of the authors’ knowledge, this work is among the first to introduce opportunity algorithm to quantify service improvement benefits. The proposed Cross-BERT model also advances the methodological literature on measuring customer satisfaction.

The aim of this paper is to analyze the interrelationship between film-induced tourism and visits to theme parks by tourists and examine the most viewed movies worldwide (2010–2022) which are related with theme parks and their attractions.

The methodology used in this study is a set of qualitative and quantitative indicators for measuring the most visited theme parks worldwide and the most viewed movies that have allowed to answer the research questions.

This research provides a new contribution to tourism and entertainment industries. Results have shown that film-induced tourism can be the perfect marketing tool to attract more tourists to theme parks through movies and their real or fictional characters represented in films such as Marvel, Minions, Avatar, Harry Potter and Disney, amongst many others. These famous characters are part of theme park’s rides to attract tourists to visit film theme parks These rides allow users to travel in a fantasy experience and interact with film characters of cartoons or fictions. There is a high correlation between film-induced tourism and theme parks’ attractions. Film-induced tourism provides great benefits to the society, theme parks, cinemas and tourist destinations. Indeed, movies help to increase the number of visitors to theme parks. In 2019, 215 million people visited the top 20 theme parks worldwide analyzed in this study, this figure is quite lucrative to entertainment and tourism sectors, local and regional economies where these theme parks are localized.

This study presents the importance of theme parks at tourist destinations because theme parks are an extension of movies, thus is, the end of the physical perfect experience at theme parks which began in a movie seat or on your TV/videogame/PC screens.

本文的主要目的是分析电影引起的旅游和游客参观主题公园之间的相互关系, 并研究与主题公园及其景点有关的全球最受欢迎的电影（2010-2022年）。

本研究使用的方法是一套定性和定量的指标来衡量全球访问量最大的主题公园和观看次数最多的电影, 使我们能够回答本研究中提出的问题。

这项研究为旅游和娱乐业提供了新的贡献, 结果表明, 电影引起的旅游可以成为完美的营销工具, 通过电影及其影片吸引更多的游客到主题公园。通过电影和他们在电影中所代表的真实或虚构的人物, 如漫威、小人、阿凡达、哈利波特、迪斯尼等, 主题公园。这些著名人物是主题公园景点的一部分, 以吸引游客参观与电影有关的景点。这些景点让游客有一个幻想的体验, 并与卡通人物互动。电影引起的旅游和主题公园景点之间存在着高度的相关性。我们必须认识到, 电影引发的旅游为社会、主题公园、电影院和旅游目的地提供了巨大的利益。事实上, 电影有助于增加主题公园的游客数量。2019年, 有2.15亿人参观了本研究中分析的世界前20大主题公园, 这个数字对于娱乐和旅游部门、这些主题公园所在的地方和区域经济来说是相当有利可图的。

本研究揭示了主题公园在旅游目的地的重要性, 因为这些旅游景点是电影的延伸, 也就是说, 主题公园及其基于电影和动画的景点是游客在主题公园生活体验的最后一部分, 而这种体验是从电影院的座位上、电视、视频游戏或电脑屏幕前开始的。

El principal desafío de este artículo es analizar la interrelación entre el turismo inducido por las películas y las visitas a los parques temáticos por parte de los visitantes, y examinar las películas más vistas en todo el mundo (2010-2022) relacionadas con los parques temáticos y sus atracciones.

La metodología utilizada en este estudio es un conjunto de indicadores cualitativos y cuantitativos para medir los parques temáticos más visitados a nivel mundial y las películas más vistas que nos han permitido responder a las preguntas planteadas en esta investigación.

Esta investigación proporciona una nueva contribución a las industrias del turismo y el entretenimiento. Los resultados han demostrado que el turismo inducido por el cine puede ser la herramienta de marketing perfecta para atraer más visitantes a los parques temáticos a través de películas y sus personajes reales o ficticios representados en películas como Marvel, Minions, Avatar, Harry Potter, Disney, entre muchos otros. Estos personajes famosos son parte de las atracciones de los parques temáticos para atraer a los visitantes a visitar las atracciones relacionadas con las películas. Estas atracciones permiten a los visitantes tener una experiencia de fantasía e interactuar con personajes de películas de dibujos animados o ficción. Existe una alta correlación entre el turismo inducido por el cine y las atracciones de los parques temáticos. Debemos reconocer que el turismo inducido por el cine ofrece grandes beneficios a la sociedad, parques temáticos, cines y destinos turísticos. De hecho, las películas ayudan a aumentar el número de visitantes a los parques temáticos. En 2019, 215 millones de personas visitaron los 20 parques temáticos más importantes del mundo analizados en este estudio, esta cifra es bastante lucrativa para los sectores de entretenimiento y turismo, y la economía local y regional donde se encuentran estos parques temáticos.

Este estudio revela la importancia de los parques temáticos en los destinos turísticos, dado que estas atracciones turísticas son una extensión de las películas, es decir, los parques temáticos y sus atracciones basadas en películas y animaciones son la parte final de una experiencia vivida por los visitantes en dichos parques y que comenzó en un asiento de cine, frente a su TV, un videojuego, o pantalla de ordenador.