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Attention is one of the most important factors to affect the academic performance of students. Effectively analyzing students' attention in class can promote teachers' precise teaching and students' personalized learning. To intelligently analyze the students' attention in classroom from the first-person perspective, this paper proposes a fusion model based on gaze tracking and object detection. In particular, the proposed attention analysis model does not depend on any smart equipment.

Given a first-person view video of students' learning, the authors first estimate the gazing point by using the deep space–time neural network. Second, single shot multi-box detector and fast segmentation convolutional neural network are comparatively adopted to accurately detect the objects in the video. Third, they predict the gazing objects by combining the results of gazing point estimation and object detection. Finally, the personalized attention of students is analyzed based on the predicted gazing objects and the measurable eye movement criteria.

A large number of experiments are carried out on a public database and a new dataset that is built in a real classroom. The experimental results show that the proposed model not only can accurately track the students' gazing trajectory and effectively analyze the fluctuation of attention of the individual student and all students but also provide a valuable reference to evaluate the process of learning of students.

The contributions of this paper can be summarized as follows. The analysis of students' attention plays an important role in improving teaching quality and student achievement. However, there is little research on how to automatically and intelligently analyze students' attention. To alleviate this problem, this paper focuses on analyzing students' attention by gaze tracking and object detection in classroom teaching, which is significant for practical application in the field of education. The authors proposed an effectively intelligent fusion model based on the deep neural network, which mainly includes the gazing point module and the object detection module, to analyze students' attention in classroom teaching instead of relying on any smart wearable device. They introduce the attention mechanism into the gazing point module to improve the performance of gazing point detection and perform some comparison experiments on the public dataset to prove that the gazing point module can achieve better performance. They associate the eye movement criteria with visual gaze to get quantifiable objective data for students' attention analysis, which can provide a valuable basis to evaluate the learning process of students, provide useful learning information of students for both parents and teachers and support the development of individualized teaching. They built a new database that contains the first-person view videos of 11 subjects in a real classroom and employ it to evaluate the effectiveness and feasibility of the proposed model.

The purpose of this paper is to make a contribution to understanding the influence of factors such as the water/cement (W/C) ratio and the granular class on the mechanical and physical properties of high-strength concretes (HSCs). In the formulations of HSC, aggregates by their high mass and volume proportion play an important role. When selecting aggregates, it is necessary to know their intrinsic properties. These properties influence the performance of concrete, in particular the quality of the granulate cimentary adhesion.

This experimental study focused on the effect of W/C ratio (0.25, 0.30, 0.35), the effect of replacing a part of cement by silica fume (SF) (8%), the effect of fraction of aggregate on properties of fresh and hardened concrete, the effect of different environment conversation like drinking water and sea water on compressive strength and the study of absorption of water and softening using the mix design method of the University of Sherbrooke combined with the Dreux-Gorisse method which gives good results.

At the end of our work, the examination of the results obtained made it possible to establish the correlations between the formulations studied and the physicomechanical characteristics of the concrete compositions (HSC25, HSC16, HSC8). The results of this study show that the use of three granular classifications (DMAX8, DMAX16 and DMAX25) and three report W/C (0.25, 0.30 and 0.35) in two different conservation environment (drinking water and sea water) give HSCs, HSC25 with an W/C = 0.25 ratio has reached the largest mechanical strength of 90 MPa for different environments of conservation. For selecting aggregates, it is necessary to know their intrinsic properties, these properties influence the strength of concrete. In general, there is a slight decrease in the compressive resistance of the specimens stored in seawater, it can be said that the conservation life has not had effect on the resistance (28 days). The effect of aggressive environment can appear in the long term.

Mixed design and concrete fabrication with a 28-day compressive strength of up to 68 MPa or more of 90 MPa can now be possible used in Jiel (Algeria), and it should no longer be considered to be used only in an experimental domain. Addition of SF in concrete showed good development of strength between 7 and 28 days, depending on the design of the mix.

Concrete containing 8% SF with W/B of 0.25 has higher compressive strength than the other concretes, and concretes with SF are more resistant than concretes without SF, so it is possible to have concrete with a compressive strength of 82 MPa for W/C 0.25 without SF. Like as a result, we can avoid the use of SF to affect the strength of concrete at compressive strength of 68 MPa, and a slump of 21 cm, because the SF is the most expensive ingredient used in the composition of concrete and is therefore very important economically. One of the main factors of production of HSC above 90 MPa is use of aggregate DMAX25, which is stronger with W/B of 0.25 and 0.30.

This mixtures leads to a very dense microstructure and low porosity and produces increased permeability of HSC and is able to resist the penetration of aggressive agents. This combination has a positive effect on the economy of concrete.

The combination of the Dreux-Gorisse method with the Sherbrook method is very beneficial for determining the percentage of aggregates used, and the use of coarse aggregates of Jijel to obtain HSC with 90 MPa and 16 cm of workability.

This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

This study aims to propose resident-based brand equity models on green, creative and smart development themes through a multi-sample telephone survey on Hong Kong residents (n = 751).

This research adopted a quantitative approach with a round of questionnaire-based survey carried out anonymously on adult citizens who have stayed in Hong Kong for more than one year. Telephone survey was performed by a professional survey research centre with trained interviewers between May and July 2022.

The study identifies the magnitude of these city brand equity attributes and reconfigured their composition under separate samples of Hong Kong residents. The results reveal the relatively stronger brand equity for developing Hong Kong as a smart city brand compared with green and creative branding.

The research findings might carry a major limitation of varied interpretations and stereotypes of each city theme (green, creative and smart) by local residents. To minimize the expected bias, two core questions were added to provide respondents with information on each theme before the main survey questions. The questions’ wording was also simplified to ensure the constraint and inconsistency of layman effect.

The common attributes across the themes, including distinctiveness, uniqueness, confidence, positive image, liveability, long-term residence, feature familiarity and top-of-mind, indicate the most prominent aspects of brand equity formation and enhancement. Since urban sustainability does not follow a single path of strategies and infrastructure development, city brand process should also follow a selective approach, which clearly identifies a multiplicity of local interests that could create the best outcomes and the strongest brand equity for the city.

The factor allocation and regression analysis elucidate different configurations of the determining factors with a three-factor model for green city brand equity and two-factor models for the other ones. The findings encore some previous studies supporting the differentiation between common attributes and distinctive attributes, and the overlapping approach to unleash the strongest integration of attributes of brand equity.

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.

Ulam is a traditional salad that contains high levels of antioxidants and is commonly consumed in raw form. However, the average ulam consumption among the low-income Malaysian population was only ½ serving daily. Thus, this study aimed to explore the motivators and barriers to ulam consumption among residents of low-cost housing areas (household income RM4849 or $1015.50) in Kuala Lumpur, Malaysia.

Six focus group discussions were conducted with 27 Malay residents aged 18–59 years in Kuala Lumpur, Malaysia. The researchers asked the participants a series of semi-structured questions. All the interviews were audio-recorded and transcribed verbatim. Two researchers coded the transcripts independently, and several themes were identified. The data were analysed using Nvivo version 12 software.

Three main factors for ulam consumption were identified in this study: personal, environmental and behavioural. The motivators and barriers were identified based on nine main themes and 16 sub-themes.

The results of this study identified potential areas for an effective intervention to increase ulam intake among residents in low-cost housing areas.

This work has the potential to identify the factors that have an impact on consumers' ulam preferences to help fulfil daily vegetable recommendations.

China's Belt and Road Initiative (BRI) is the most ambitious investment strategy for infrastructural development belonging to the significant potential for stimulating regional economic growth in Asia, Europe and Africa. This study aims to investigate the impact of infrastructure on spurring inward foreign direct investment (FDI) within the purview of human capital, GDP per capita, foreign aid, trade, domestic investment, population and institutional quality in BRI countries.

In doing so, the authors analyze panel data from 2000 to 2019 within the framework of the system generalized method of movement (GMM) approach for 66 BRI countries from Europe, Asia, Africa and the Middle East.

The investigated results demonstrate that aggregate and disaggregate infrastructure indices, e.g. transport, telecommunications, financial and energy infrastructures, are the driving forces in attracting foreign direct investment (FDI) in the BRI countries. In addition, control variables (i.e. institutional quality, human capital, trade, domestic investment, foreign aid and GDP per capita) play an essential role in spurring FDI inflows.

The authors’ study uniquely investigates both the pre- (2000–2012) and post- (2013–2019) BRI scenarios using the aggregate and disaggregate infrastructural components from the perspectives of full and clustered sample regions, such as Asia, Europe, Africa and the Middle East. The study provides several policy implications.

As a smart service, location-based advertising (LBA) integrates advanced technologies to deliver personalized messages based on a user’s real-time geographic location and needs. However, research has shown that privacy concerns threaten the diffusion of LBA. This research investigates how privacy-related factors (i.e. LBA type, privacy self-efficacy (PSE) and consumer generation) impact consumers’ value-in-use and their intention to use LBA.

This study developed and examined an LBA value-in-use framework that integrates the role of LBA type, consumers’ PSE and consumer generation into the technology acceptance model (TAM). Data were collected through two experiments in the field with a total of 374 consumers. The proposed relationships were tested using PROCESS modeling.

The results reveal that pull (vs push) LBA causes higher value-in-use in terms of perceived usefulness and perceived ease of use, leading to greater usage intention. Further, the differences in the mediated relationship between pull- and push-LBA are larger among consumers of low PSE (vs high PSE) and Generation Z (vs other generations). The findings suggest that the consumer value-in-use brought about by LBA diminishes when using push-LBA for low PSE and Generation Z consumers.

This research is the first to integrate the privacy-related interactions of LBA type and consumer characteristics into TAM to develop a TAM-based LBA value-in-use framework. This study contributes to the literature on service value-in-use, smart services and LBA by clarifying the boundary conditions that determine the effectiveness of LBA in enhancing consumers’ value-in-use.

The high-pressure accumulator has been widely used in the hydraulic system. Failure pressure prediction is crucial for the safe design and integrity assessment of the accumulators. The purpose of this study is to accurately predict the burst pressure and location for the accumulator shells due to internal pressure.

This study concentrates the non-linear finite element simulation procedure, which allows determination of the burst pressure and crack location using extensive plastic straining criterion. Meanwhile, the full-scale hydraulic burst test and the analytical solution are conducted for comparative analysis.

A good agreement between predicted and measured the burst pressure that was obtained, and the predicted failure point coincided very well with the fracture location of the actual shell very well. Meanwhile, the burst pressure of the shells increases with wall thickness, independent of the length. It can be said that the non-linear finite element method can be employed to predict the failure behavior of a cylindrical shell with sufficient accuracy.

This paper can provide a designer with additional insight into how the pressurized hollow cylinder might fail, and the failure pressure has been predicted accurately with a minimum error below 1%, comparing the numerical results with experimental data.

The normalization of COVID-19 disease prevention has presented a major opportunity for the transformation and upgrade of cultural and tourism products in Taiwan. This paper aims to explore the attractiveness of Taiwanese military dependents’ villages, known as juancun, two studies were conducted to test the path relationships of juancun experiencescape, authenticity, memorability and revisit intention.

This research conducted two studies by using a mixed sampling of snowball sampling and purposive sampling for the questionnaire survey. Based on the 397 valid questionnaires retained in Study 1, a cultural heritage site experiencescape was developed and validated; in Study 2, 393 valid questionnaires were collected, and structural equation modeling was conducted to test hypotheses that were developed drawing on the stimulus–organism–response model and theory of buyer behavior.

It is revealed that cultural heritage site experiencescape include natural and cultural, social, sensory and functional factors and that the experiencescape affects authenticity positively; “existential authenticity–memorability” mediates the relationship of experiencescape and revisit intention, whereas co-creation behavior has the positive moderating effects on the relationship of experiencescape and authenticity.

The research developed an experiencescape scale for cultural heritage sites and described the managerial implications for destination management organizations regarding product development and service design.

COVID-19疫情防控的常态化为台湾的文化和旅游产品升级转型提供了巨大的契机。为了明确台湾眷村的旅游吸引力, 本研究操作两个研究设计以检定眷村体验景观、真实性、难忘性及重游意图之间的路径关系。

本研究操作的两个研究设计皆采用滚雪球抽样和目的性抽样的混合抽样方法进行问卷调查。基于研究设计一回收的397份有效问卷, 发展和验证了眷村文化遗产地体验景观量表; 运用研究设计二回收的393份有效问卷, 操作结构方程模型分析以检定基于刺激-机体-反应理论和买方行为理论发展的假设。

本研究揭示了文化遗产地体验景观包含自然与文化、社会、感官、功能性因素; 体验景观正向影响真实性; “存在主义真实性-难忘性”中介调节体验景观和重游意图的关系; 共创行为正向调节体验景观与真实性的关系。

本研究发展了文化遗产地体验景观量表, 并就产品发展和服务设计为旅游目的地管理组织提供了实务建议。

Esta investigación llevó a cabo dos estudios mediante un muestreo mixto de bola de nieve y muestreo intencionado para la encuesta por cuestionario. A partir de los 397 cuestionarios válidos retenidos en el Estudio 1, se desarrolló y validó el experiencescape del patrimonio cultural; en el Estudio 2, se recogieron 393 cuestionarios válidos y se realizó un modelado de ecuaciones estructurales para probar las hipótesis que se desarrollaron a partir del modelo estímulo-organismo-respuesta y la teoría del comportamiento del comprador.

La normalización de la prevención de la enfermedad COVID-19 ha supuesto una gran oportunidad para la transformación y mejora de los productos culturales y turísticos de Taiwán. Para explorar el atractivo de las aldeas de los familiares de militares en Taiwan, conocidos como juancun, se realizaron dos estudios para probar las relaciones de trayectoria del experiencescape del juancun, la autenticidad, la memorabilidad y la intención de volver a visitarlo.

Se revela que el experiencescape del patrimonio cultural de la aldea militar incluye factores naturales y culturales, sociales, sensoriales y funcionales, y que el experiencescape afecta positivamente a la autenticidad; la “autenticidad existencial-memorabilidad” media en la relación del experiencescape y la intención de volver a visitarlo, mientras que el comportamiento de cocreación tiene los efectos moderadores positivos en la relación del experiencescape y la autenticidad.

La investigación desarrolló una escala de experiencescape para el patrimonio cultural del sitio y describió las implicaciones gerenciales para las organizaciones de gestión de destinos en relación con el desarrollo de productos y el diseño de servicios.