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This paper aims to propose a new lector-based domino and examine it with inputs and clock signal combination in a 45-nm dual-threshold footerless domino circuit for reduced leakage current.

In this technique, p-type and n-type leakage control transistors (LCTs) are introduced between pull-up and pull-down networks, and the gate of one is controlled by the source of the other. A high-threshold transistor is used in the input for reducing gate oxide leakage current, which becomes dominant in nanometre technology. Simulations were based on a 45-nm BISM 4 model using an HSPICE simulator for proposed domino circuits.

The result shows that CHIL (clock high and input low) state is ineffective for lowering leakage current and the conventional CHIH (clock high and input high) state is only effective to suppress the leakage at low temperature for wide fan-in domino circuits. At high temperature, CLIL (clock low and input low) state is preferable to reduce the leakage current for low fan-in domino, but for high fan-in domino, CHIH state is preferred. The proposed circuit technique for AND2, OR2, OR4 and OR8 circuits reduces the active power consumption by 50.94 to 75.68 per cent and by 64.85 to 86.57 per cent at low and high die temperatures, respectively, when compared to the standard dual-threshold voltage domino logic circuits.

The research proposes a new leakage reduction technique used in domino circuits and also evaluates the state for leakage reduction which can be used for low-power dynamic circuits.

Statistical quality control charts cannot indicate explicitly whether there is any special disturbance in the manufacturing process. pattern recognition scheme can solve this problem. The simultaneous control of two or more variables is necessary when the quality of the product depends on the joint effect of these variables. Studies the combination patterns of random and random, shift and cycle, trend and cycle, and trend and shift for two variables. Proposes a T² control chart and uses simulation to determine pattern diagnostic characteristics for these combinations. The pattern diagnostic characteristics studied are window size, zone boundary, and zone representation. The results indicate that window size 20 is appropriate for these particular parameters, equal probability and the highest percentage alternative are adopted as the zone boundary and the zone representation, respectively. The sensitivity analysis of the pattern parameters indicates the pattern diagnostic is robust for changes in the parameter values.

This research aims to develop a moderated mediation model to examine the relationships among participants' motivation, organizational identification and participation loyalty with perceived business practice corporate social responsibility (CSR) in philanthropic road-running events.

The data come from a questionnaire survey that was administered to a sample of 236 participants as runners at philanthropic road-running events. All hypotheses are tested using Statistical Product and Service Solutions (SPSS) and structural equation modeling (SEM)–Analysis of Moment Structures (AMOS) with a bootstrapping technique.

The results reveal that perceived business practice CSR moderates the relationship between extrinsic motivation and organizational identification and then influences the mediating effect of organizational identification on the relationship between extrinsic motivation and participation loyalty. This highlights the important role of perceived business practice CSR to participants' attitude and behavior when supporting philanthropic road-running events.

This research scrutinizes the role of perceived business practice CSR on philanthropic road-running events through an empirical study and resultant evidence. One recommendation is that when a firm intends to host a philanthropic road-running event, the firm must implement the reality of sound CSR in the firm's business practice.

This study explores the effects of interpersonal determinants (tie strength and homophily) and informational determinants (source trustworthiness and customer endorsement) on perceived positive electronic word-of-mouth (eWOM) review credibility (PPERC), which subsequently affects attitude toward the product (ATP), attitude toward the Fan Page (ATFP), and eWOM review adoption (ERA) based on the cognition-affection-behavior (CAB) model.

The research sample consists of 402 subjects who used the Fan Page of Fashion Guide for more than one year. This research adopts a Structural Equation Modeling (SEM) to test the proposed model, which shows a good fit.

The results indicate that tie strength, homophily, source trustworthiness and customer endorsement each have a significant and positive effect on PPERC, respectively. In addition, homophily has a significant and positive effect on the strength and source trustworthiness. Furthermore, the results reveal that PPERC has a significant and positive effect on ATP, ATFP and ERA.

This study contributes to the literature by integrating multi perspectives and factors from informational determinants and interpersonal determinants. In addition, this study proposes that these determinants affect ERA via PPERC and dual attitudes (ATP and ATFP).

This paper aims to propose a new sleep signal controlled footless domino circuit for reducing the subthreshold and gate oxide leakage currents.

In the proposed circuit, a P channel MOSFET (PMOS) sleep switch transistor is inserted between the power supply and the output node. The sleep transistor, the source of the pull-down network, and the source of the N channel MOSFET (NMOS) transistor of the output inverter are controlled by this additional sleep signal to place the footless domino circuit in a low leakage state.

The authors simulate the proposed circuit by using HSPICE in 45-nm CMOS technology for OR and AND logic gates such as OR2, OR4, OR8, AND2 and AND4 at 25°C and 110°C. The proposed circuit reduces leakage power consumption as compared to the existing circuits.

The proposed circuit significantly reduces the total leakage power consumption up to 99.41 and 99.51 per cent as compared to the standard dual-threshold voltage footless domino circuits at 25°C and 110°C, respectively, and up to 93.79 and 97.98 per cent as compared to the sleep control techniques at 25°C and 110°C, respectively. Similarly, the proposed circuit reduces the active power consumption up to 26.76 and 86.25 per cent as compared to the standard dual-threshold voltage and sleep control techniques footless domino circuits at 25°C and 110°C, respectively.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

The purpose of this paper is to examine the impact of customer participation in the service delivery process by designing and testing an empirical model with the customers’ point of view in mind.

Data are collected from 176 customers in the context of professional financial insurance services. The proposed model is analyzed with partial least squares (PLS) path modeling in SmartPLS 2.0 software.

The results of the study show that customer participation produces positive effects on customer satisfaction and affective commitment through the customer relational value. Affective commitment is a strong predictor of repurchase intention, but no relationship between customer satisfaction and repurchase intention was found.

This study suggests that customer participation can be a win-win situation for customers and the service firm. Customers who create relational value with their service providers effectively enjoy their services more and are more likely to build and maintain long-term relationships with their service firm.

The findings highlight the roles of the customer and indicate the heuristic value of viewing customer satisfaction and affective commitment as consequences of customer participation. By identifying the effects of customer participation in the service interaction, organizations can determine optimum roles for customers in the service delivery process that will yield a more efficient use of organization resources and improve operational performance.

This study aims to explore the augmented reality (AR) effectiveness of museum visiting.

Based on the AR marketing of the motivation model and the inspiration model, the critical mental process and AR were revealed that could increase museum visits. The mixed-methods approach was adopted to analyze the qualitative research and test the model hypotheses to understand the perceptions of the increasing AR marketing of museum visits.

The authors found that inspiration and perceived quality AR are critical to enhancing the attitudinal of museum visits. AR developers can thus focus on utilitarian and hedonic benefits in perceptual augmentation quality to inspire users’ willingness to visit museums.

This study extended the inspiration model through a mixed-methods approach to investigate how AR technologies encourage and leverage visitor experience to increase museum visit intention psychologically.

本研究旨在探索增强现实（AR）对博物馆参观的影响。

基于AR营销的动机模型和启发模型, 本研究揭示了能够增加博物馆参观动机的关键心理过程和AR技术。本研究采用混合方法分析定性研究并测试模型假设, 以了解对增加AR营销的博物馆参观的感知。

我们发现, 启发和感知质量的AR技术对提升参观博物馆的态度至关重要。因此, AR开发者可以将注意力集中在实用和享乐的益处上, 通过提升感知质量来激发用户参观博物馆的意愿。

本研究通过混合方法扩展了启发模型, 研究了如何通过AR技术在心理上鼓励和利用游客体验来增加参观博物馆的意愿。

This study established and examined a moderated mediation model connecting workplace ostracism with job performance. Drawing from the viewpoint of self-esteem threat, the model posits that the effect of workplace ostracism on job performance is mediated by levels of organization-based self-esteem, while the relationship between workplace ostracism and organization-based self-esteem is moderated by performance goal orientation.

Multisource data were collected from 160 employees and their immediate supervisors in Taiwan.

As predicted in the research model, workplace ostracism was found to decrease organization-based self-esteem and, therefore, hinder employees' job performance. Performance goal orientation was found to buffer the negative effect of workplace ostracism on job performance via organization-based self-esteem.

To eliminate the negative impact of workplace ostracism, supervisors can help ostracized employees to self-regulate by aligning their performance goal orientation to reduce the perception of self-esteem threat.

This study provides evidence of boundary conditions for the relationship between workplace ostracism and job performance and explores the impact of self-regulation on ostracized employees' organization-based self-esteem and subsequent job performance.