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This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and fluorescent biosensing were integrated and combined with magnetic nanoparticles to construct a multi-sensor integrated microfluidic biochip for detecting single-stranded DNA. Multi-sensor integrated biochip demonstrated higher detection reliability for a single target and could simultaneously detect different targets.

In this study, the authors integrated graphene field-effect transistor biosensing and fluorescent biosensing, combined with magnetic nanoparticles, to fabricate a multi-sensor integrated microfluidic biochip for the detection of single-stranded deoxyribonucleic acid (DNA). Graphene films synthesized through chemical vapor deposition were transferred onto a glass substrate featuring two indium tin oxide electrodes, thus establishing conductive channels for the graphene field-effect transistor. Using π-π stacking, 1-pyrenebutanoic acid succinimidyl ester was immobilized onto the graphene film to serve as a medium for anchoring the probe aptamer. The fluorophore-labeled target DNA subsequently underwent hybridization with the probe aptamer, thereby forming a fluorescence detection channel.

This paper presents a novel approach using three channels of light, electricity and magnetism for the detection of single-stranded DNA, accompanied by the design of a microfluidic detection platform integrating biosensor chips. Remarkably, the detection limit achieved is 10 pm, with an impressively low relative standard deviation of 1.007%.

By detecting target DNA, the photo-electro-magnetic multi-sensor graphene field-effect transistor biosensor not only enhances the reliability and efficiency of detection but also exhibits additional advantages such as compact size, affordability, portability and straightforward automation. Real-time display of detection outcomes on the host facilitates a deeper comprehension of biochemical reaction dynamics. Moreover, besides detecting the same target, the sensor can also identify diverse targets, primarily leveraging the penetrative and noninvasive nature of light.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

This paper aims to analyze and provide insight on the algorithms for the optimization of construction site layout planning (CSLP). It resolves problems, such as the selection of suitable algorithms, considering the optimality, optimization objectives and representation of layout solutions. The approaches for the better utilization of optimization algorithms are also presented.

To achieve the above, existing records (results = 200) were selected from three databases: Web of Science, ScienceDirect and Scopus. By implementing a systematic protocol, the articles related to the optimization algorithms for the CLSP (results = 75) were identified. Moreover, various related themes were collated and analyzed according to a coding structure.

The results indicate the consistent and increasing interest on the optimization algorithms for the CLSP, revealing that the trend in shifting to smart approaches in the construction industry is significant. Moreover, the interest in metaheuristic algorithms is dominant because 65.3% of the selected articles focus on these algorithms. The optimality, optimization objectives and solution representations are also important in algorithm selection. With the employment of other algorithms, self-developed applications and commercial software, optimization algorithms can be better utilized for solving CSLP problems. The findings also identify the gaps and directions for future research.

The selection of articles in this review does not consider the industrial perspective and practical applications of commercial software. Further comparative analyses of major algorithms are necessary because this review only focuses on algorithm types.

This paper presents a comprehensive systematic review of articles published in the recent decade. It significantly contributes to the demonstration of the status and selection of CLSP algorithms and the benefit of using these algorithms. It also identifies the research gaps in knowledge and reveals potential improvements for future research.

Friction and wear are very important factors in predicting the performance of journal bearings, particularly under heavy load in start-up processes. However, there are few relevant studies on the numerical model. This study aims to establish a transient-mixed lubrication model to predict the performance of journal bearings, focusing on the friction and wear behavior under heavy load during start-up.

The average Reynold equation, three-dimensional energy equation, shear stress model for friction and Archard model for wear are coupled in the transient model by finite difference method. The linear wear simulation method is bought out to reduce the update times and the calculation time.

The different start-up accelerations and linear wear times set are compared and discussed, which indicates a reasonable start-up acceleration is necessary for journal bearings under heavy load during start-up, and setting linear wear times is an effective method to reduce the simulation time significantly. Furthermore, the wear profile in the start-up process spreads in both the clearance and circumferential directions, but mainly in the clearance direction, which increases the minimum film thickness and affects the friction performance.

This study is of great significance for the numerical prediction of the transient performance of journal bearings during start-up considering friction and wear.

The purpose of this paper is to examine the effects of retailers’ organizational controls and controls of their boundary personnel on manufacturers’ outsourcing performance. It further assesses the moderating impact of information symmetry in this context.

Data were collected from 230 Indian apparel manufacturers engaged in outsourcing activities with two international retailers. Organizational control is scrutinized as formal and informal controls, and outsourcing performance is studied in terms of efficiency and effectiveness. The partial least squares approach is used to test the proposed research model.

First, the retailers’ and the boundary person’s formal controls have a direct, positive effect on outsourcing efficiency. Second, although no significant effect of the boundary person’s formal controls on outsourcing effectiveness is identified, a significant effect of retailers’ formal controls on effectiveness is seen. Third, the boundary person’s informal controls are associated with a decrease in efficiency, whereas they have a positive effect on effectiveness. Fourth, although the retailers’ informal controls enhance outsourcing effectiveness, they negatively affect efficiency. Fifth, information symmetry is statistically significant in enhancing outsourcing efficiency and effectiveness.

The results have important implications for retailers and retailers’ boundary persons who are keen to improve their relations with manufacturers. This paper offers practical insights into the ways that manufacturers, boundary personnel and retailers can exercise control mechanisms in order to achieve effective and efficient outsourcing outcomes.

The effect of organizational control and information symmetry on outsourcing performance in typical outsourcing practices in manufacturer‒retailer relationships is shown.

This paper aims to elucidate how humorous prompts affect tourists’ heritage responsible behaviors (THRBs).

Three scenario-based experiments were conducted through Credamo (an online survey platform). Studies 1 and 2 used a single-factor (language style: humorous vs serious) between-subject design to test the direct and indirect effects of humorous prompts. Study 3 used a 2 (environmental quality: high vs low) × 2 (language style: humorous vs serious) between-subject design to further reveal the boundary condition (environmental quality) of the humor effect.

The results revealed that humorous (vs serious) prompts better persuade tourists to engage in heritage responsible behaviors (HRBs). Content liking mediates the relationship between humorous prompts and THRBs. Moreover, environmental quality significantly moderates the effect of humorous prompts on THRBs, whereby the persuasive effect of humorous prompts is greater in high environmental quality conditions than in low environmental quality conditions.

Destination management organizations can use humor to reduce tourists’ reactance against prompts for behavioral persuasion. Moreover, it is also important to adapt humorous prompts to changes in environmental quality in a timely manner.

Based on psychological reactance theory, the research confirmed the dominant effect of humorous prompts by using content liking as a mediating variable, providing a new research perspective for research on the regulation of THRBs. Moreover, the authors clarified a boundary condition for the persuasiveness of humorous prompts, which helps reinforce the comprehension of humor persuasion.

本研究旨在厘清幽默提示语如何影响游客遗产责任行为的差异效应与过程机制。

本研究利用见数平台开展了三个情景实验。实验1与实验2采用单因素（语言风格：幽默 vs. 严肃）组间实验设计, 验证了幽默提示语对遗产责任行为的直接与间接效应。实验3采用2（语言风格：幽默 vs. 严肃）×2（环境质量：高 vs. 低）组间实验设计进一步揭示环境质量对幽默提示语效果的调节效应。

相较于严肃提示语, 幽默提示语可更好地说服游客产生遗产责任行为。内容喜爱在幽默提示语与遗产责任行为过程中发挥完全中介作用。此外, 环境质量调节了幽默提示语对遗产责任行为的影响, 即幽默提示语（较严肃提示语）仅在环境质量较高的遗产地中具备优势。

遗产地管理组织可使用幽默来降低游客对提示语的心理逆反程度, 从而达到行为说服的目的。与此同时, 管理者也要根据目的地环境质量及时调整幽默提示语的使用策略。

基于心理逆反理论, 本研究以内容喜爱为中介变量, 证实了幽默提示语的优势说服作用, 为游客遗产责任行为管理的相关研究提供了一个新的理论视角。同时, 本研究厘清了幽默提示语在遗产旅游地中的应用边界, 并强化了对幽默说服的理解。

Esta investigación pretende aclarar cómo afecta el humor al efecto persuasivo de la señalización sobre el comportamiento responsable de los turistas respecto al patrimonio.

Se realizaron tres experimentos basados en escenarios a través de Credamo (una plataforma de encuestas en línea). En los estudios 1 y 2 se utilizó un diseño entre sujetos de un solo factor (estilo de lenguaje: humorístico frente a serio) para comprobar los efectos directos e indirectos de los señalización humorísticos. El estudio 3 utilizó un diseño entre sujetos de 2 (calidad del entorno: alta frente a baja) × 2 (estilo lingüístico: humorístico frente a serio) para revelar con más detalle la condición límite (calidad del entorno) del efecto del humor.

Los resultados revelaron que las señalización humorísticas (frente a las serias) persuaden mejor a los turistas a participar en las HRB. El gusto por el contenido influye en la relación entre los señalización humorísticos y las HRB. Además, la calidad del entorno modera de forma significativa el efecto de los señalización humorísticos sobre los THRB, de modo que el efecto persuasivo de los señalización humorísticos es mayor en condiciones de alta calidad del entorno que en condiciones de baja calidad del entorno.

Las organizaciones de gestión de destinos pueden utilizar el humor para reducir la reacción de los turistas ante las señalización a la persuasión conductual. Además, también es importante adaptar oportunamente las señalización humorísticas a los cambios en la calidad del entorno.

Basándonos en la teoría de la reactancia psicológica, nuestra investigación confirmó el efecto dominante de las señalización humorísticas empleando el gusto por el contenido como variable mediadora, proporcionando una nueva perspectiva para la investigación sobre la regulación de las THRB. Además, aclaramos una condición límite para la persuasión de los señalización humorísticos, lo que ayuda a reforzar la comprensión de la persuasión humorística.

Based on generic reviews of research on school leadership, this study aims to conceptualize an emerging leadership competence model for further prioritizing school leadership training needs by decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP). Targeting at a specific group of junior high school principals in Taiwan, the synthesized prioritization of core competences and competence indicators computed by DEMATEL-based ANP can be used as a blueprint for systematically developing school principal preparation programs elsewhere based on contextually specific needs and concerns.

For the purpose of detecting the priority of competences extracted from a plethora of literature in relation to school leaders’ skills, abilities and knowledge, a hybrid MCDM model, known as DEMATEL-based ANP, is used to snapshot critical leadership competences for tailoring the intended junior high school principal preparation program.

Results of global weight computations by DEMATEL-based ANP show that the overall prioritization of the five dimensions in ranking order are “Redesigning the organization,” “Related leadership practices,” “Setting Directions,” “Personal Characteristics” and “Developing People.” Factor-level analysis indicated that “Legality,” “Consensus Building,” “Shared Vision,” “Strategic Management,” “Authoritarianism,” “Modeling Behavior” and “High Performance Emphasis” were prioritized factors to be included in developing the intended school principal preparation program.

Contextually based findings yielded from DEMATEL-based ANP would only be applicable to the target context under investigation. Generalizing the findings to junior high school principals elsewhere might not be appropriate. Methods introduced in this study are extensible to further studies aiming at shaping leadership trainings in other school settings to achieve maximum impact based on contextually specific needs. Limitations associated with sophisticated mathematical computations involved in performing high-leverage MCDM models would shed light on the importance of interdisciplinary collaborations between scholars, practitioners and methodologists.

To efficiently deliver training for junior high school principals, the prioritization of core competences and competence indicators solicited by DEMATEL-based ANP can be used as a scenario-based reference for planning the intended school principal preparation program planning, as well as a mechanism for selecting and evaluating potential and incumbent school principals with desired leadership competences.

This study has used DELATEL-based ANP as a decision-making tool to disclose a plethora of competences extracted from different threads in the literature into a prioritized competence framework that differs from past one-size-fit-all approach to design and plan school principal preparation programs.

This paper aims to investigate the effect of lubricant viscosity model with improver on friction and lubrication of piston skirt-cylinder liner conjunction.

A dynamic calculation model is established for the piston skirt-cylinder liner conjunction of a heavy-duty commercial diesel engine, to explore the effects of two kinds of lube oil viscosity models named after polyalkyle-metacrylate-1 (PAMA1) and styrene-isoprene-copolymer (SICP) improvers on the maximum oil film viscosity, the minimum oil film thickness, the peak oil film pressure, the maximum shear rate, the friction force and the total friction power loss.

The variation trends with the crank angle of the above parameters are not changed with the difference of improvers, while obvious numerical differences are found except the maximum oil film pressure. The minimum oil film thickness and maximum shear rate of PAMA1 are larger than that of SICP, the maximum oil film viscosity of SICP is larger than that of PAMA1, which indicates that the shear-thinning effect of PAMA1 is greater, the maximum friction force on the piston of SICP is larger than that of PAMA1, and the total friction power consumption is also larger, the average friction power consumptions of SICP and PAMA1 are 385.4 and 262.8 W, respectively, with the relative difference of 31.8 per cent.

The influence of different lubricating oil additive models on the lubrication and friction of piston skirt-cylinder liner conjunction is simulated and analyzed.

This study aims to use the theory of third places to understand how different kinds of social interactions in small hospitality businesses, such as restaurants and cafes, can enhance senior customers’ experiences and alleviate their loneliness.

The target population of this study were Hong Kong residents of age 60 or older. The sampling frame comprised respondents who visited a Cha Chaan Teng (i.e. a Hong Kong-style tea restaurant) more than once a year. The authors distributed 500 questionnaires and collected 411 valid responses in 2016. They used structural equation modeling for data analysis.

The results show that social interactions (service manner and need identification) with employees and other customers have a positive effect on senior customers’ experiences, while the service manner of employees reduces senior customers’ loneliness.

This study demonstrates the respective contributions of social interactions with employees and those with other customers to enhancing senior customers’ experiences and alleviating their loneliness. This study’s findings may provide a foundation for future research into the relationships between social interactions, customer experience and loneliness in third places (that are, informal public places that offer individuals opportunities to escape from home and the workplace and to enjoy voluntary conversation, entertainment and gatherings). Further, this study also demonstrates the specific role and importance of the hospitality industry in addressing a contemporary social problem in the form of seniors’ loneliness.

High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience. Therefore, it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.

First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. Then, the Short-Time Fourier Transform (STFT) is performed to calculate the marginal spectra. Finally, the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds. To improve computational efficiency, permutation entropy (PE) is used as a fast indicator to identify turnouts with potential problems.

Under continuous hunting conditions, the PE is less than 0.90; the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7, and there is an energy band in the STFT time-frequency map, which corresponds to a frequency distribution range of 1–2 Hz.

The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts. On this basis, an effective diagnostic method has been proposed. With a focus on practical engineering applications, a rapid screening index for identifying potential issues has been proposed, significantly enhancing the efficiency of diagnostic processes.