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This review paper reveals the literature on ultrasonic, chemical-assisted ultrasonic and rotary ultrasonic machining (USM) of glass material. The purpose of this review paper is to understand and describe the working principle, mechanism of material removal, experimental investigation, applications and influence of input parameters on machining characteristics. The literature reveals that the ultrasonic machines have been generally preferred for the glass and brittle work materials. Some other non-traditional machining processes may thermally damage the work surface. Through these USM, neither thermal effects nor residual stresses have been generated on the machined surface.

Various input parameters have the significant role in machine performance characteristics. For the optimization of output response, several input parameters have been critically investigated by the various researcher.

Some advance types of glasses such as polycarbonate bulletproof glass, acrylic heat-resistant glass and glass-clad polycarbonate bulletproof glass still need some further investigation because these materials have vast applications in automobile, aerospace and space industries.

Review paper will be beneficial for industrial application and the various young researcher. Paper reveals the detail literature review on traditional ultrasonic, chemical assisted ultrasonic and rotary USM of glass and glass composite materials.

There is a potential to improve the overall performance of SMEs and hence their competitiveness. Activity based costing (ABC) is gaining importance in organizations that are aiming for a major share in business by improving productivity and quality. However, ABC has received little attention from SMEs in spite of the fact that it has an important role to play in improving the competitiveness of SMEs. First, this paper reviews cost management practices in SMEs. Second, justification criteria for the implementation of ABC in SMEs are discussed. Third, a framework has been developed in this paper for the implementation of ABC in SMEs. Finally, some future research directions are presented in the area of ABC in SMEs.

The purpose of this paper is to investigate the antecedents of inconsistent responding in web surveys. Consistency of responses to personal information questions and scale items were compared, and the influence of perceived social support, social appearance anxiety, academic self-efficacy and social networking habits on inconsistent responding was examined.

A gaming application on Facebook was used to collect data. A repeated-measures design was conducted with 806 respondents in two online survey administrations. After inconsistent responses provided by the same nicknames were identified, consistent and inconsistent respondents were compared with regard to their responding patterns and research variables.

Findings revealed that 45.7 percent of participants misreported their personal information such as age, educational status and gender. Participants were relatively consistent in their responses to attitude scales. Perceived social support led to inconsistent responding whereas social appearance anxiety and academic self-efficacy was not influential in response patterns. A binary logistic regression revealed that perceived family support, number of Facebook friends and Facebook use duration successfully distinguished inconsistent respondents from consistent respondents.

The sample frame has several limitations insofar as the study only addressed a unique gaming application on Facebook. Thus, unique interactive characteristics of the current context may have altered the nature of responding.

Practitioners should not rely on the personal information provided by online survey respondents to conduct parametric tests, whereas responses to online attitude scales seemed relatively consistent.

The principal contribution of the paper is that findings have provided insights into the current status of response patterns in online survey administrations. In addition, the paper highlights the importance of individual variables which influence the consistency of responses.

For all small and medium enterprises (SMEs), the long‐term goal is to stay in business, grow and make profit. Especially in manufacturing SMEs must understand the dynamic changes. For SMEs to remain competitive, they must deliver products to customers at the minimum possible cost, the best possible quality, and the minimum lead time. SMEs can achieve this by implementing computer integrated manufacturing (CIM). The high investment required for CIM implementation is becoming a major hurdle for SMEs to cross. This is due to the lack of financial resources which has stalled the initiative in adopting CIM. Undoubtedly this has caused a decrease in rate of adoption of CIM in SMEs. With the triangular co‐operation of government‐industry‐university, CIM can successfully be implemented in SMEs. Considering the importance of government‐industry‐university co‐operation, a model has been developed with the help of an empirical study conducted in British SMEs to facilitate the adoption of a CIM. Finally, presemts a summary of findings and recommendations.

A robot‐linked inspection station for automatic gauging of gudgeon pins for surface finish, diameter and taper, has been set up as a demonstration unit at Brunei University, and has been shown to be reliable from the viewpoint of both instrumentation and robotic placement. It makes a simple reject or accept decision on surface finish and taper, but accommodates three tolerance bands on diameter.

Companies are increasingly reporting their inability to justify their investment in IT/IS because of the nature of costs and benefits associated with its adoption. The reason for this is that many capital budgeting procedures rely on financially orientated appraisal techniques as an integral part of the decision‐making process. The use of traditional appraisal techniques is considered to be no longer appropriate in appraising investments in IT/IS because of the nature of non‐financial and intangible benefits, together with the complexity of direct and indirect cost factors. The authors of this paper identify the range of cost implications associated with the adoption of IT/IS, with a particular focus on the manufacturing industry. These costs are then developed into a taxonomy of direct and indirect factors, which clearly need consideration during the investment decision‐making process.

Two different ‘a posteriori’ error estimation techniques are proposed in this paper. The effectiveness of the error estimates in adaptive mesh refinement for 2D and 3D electrostatic problems are also analyzed with numerical test results. The post‐processing method employs an improved solution to estimate the error, whereas the gradient of field method utilizes the gradient of the field solution for estimating the ‘a posterior’ error. The gradient of field method is computationally inexpensive, since it solves a local problem on a patch of elements. The error estimates are tested by solving a set of self‐adjoint boundary value problems in 2D and 3D using a hierarchical minimal tree based mesh refinement algorithm. The numerical test results and the performance evaluation establish the effectiveness of the proposed error estimates for adaptive mesh refinement.

Audio-visual presentations – delivered either in real-life or virtually – feature heavily in educational assessments and employer recruitment. This study explored neurodivergent undergraduate students' experiences of presentations. The aim was to understand how neurodivergent students describe experiences of presentations in educational and workplace contexts and how neurodivergent students experienced training, support activities and learning technologies associated with presentations.

An exploratory qualitative phenomenological approach was taken, from students' perspectives. Overall, 12 neurodivergent undergraduate students (M_age = 21.89 years, SD_age = 2.57; nine women, two men, one non-binary) discussed their experiences of presentations within educational and/or professional contexts via semi-structured remote interviews. The sample included individuals with diagnoses of anxiety, depression, dyslexia, borderline personality disorder, dyscalculia, dyspraxia, and panic disorder.

Thematic Analysis of interview transcript data revealed four main themes (with sub-themes in parentheses): Control (preparedness; delivery); Audience Perceptions and Behaviours (expectations of “normality”; shared knowledge; audience “expertise”); Intervention Efficacy (early access; individuality; learning technologies) and Value of Presentation Skills (reciprocity between education – workplace; self-efficacy; self-esteem; learner development).

The dataset was extracted from a relatively small sample from a single university and indeed a single academic discipline. Furthermore, the dataset was collected during the ongoing COVID-19 pandemic – although this gives us a valuable snapshot of students' experiences and perceptions during this time, whether the author can extrapolate these findings in future is unclear.

The findings help understand how we better support students. Better ways to support learners can be developed in developing presentation and audience skills. This research shows that alternative assessment provisions must be based on individuals and their own specific needs and skills, rather than their divergence label. This research can inform the development of digital learning technologies.

This research can inform how educators, coaches, trainers, and facilitators “train” audiences to be more inclusive and less prejudicial/biased. We can understand how to better construct social spaces for presentations, in the classroom and the world of work.

This report presents a valid and valuable methodological approach, conducted and reported transparently. This research was conducted during a crucial, unprecedented and precarious time period for learners and education professionals. Implications are considered with respect to the design of teaching, learning and assessment activities; facilitator, learner, and peer behaviours; the role of digital learning technologies; and employment/employability.

The effectiveness of a message and its attributes have become important for digital media. This study aims to investigate how different elements of a website including both argument-oriented and emotional stimuli based on the elaboration likelihood model (ELM) can affect the issue involvement and change the attitude of the website visitors of a healthcare service provider.

The Ministry of Health and Education (MOHME) website was selected to explore how its content and design can persuade visitors. An online survey was conducted on 355 adults engaging in health protection behaviors during the COVID-19 pandemic.

Structural equation modeling (SEM) analysis showed that one design element, i.e. website navigation and one social cue, i.e. social connectedness, have positive impact on issue involvement, while social presence and website satisfaction have a negative effect on issue involvement because of the random fluctuation suppressor effect. In addition, prior knowledge significantly influenced the issue's involvement. Further, website satisfaction has impacted attitudes directly. There was no significant relationship between argument quality and issue involvement.

Previous works have studied health-related behaviors in offline contexts; however, the scholars have not focused on the individuals' persuasion using ELM regarding the healthcare services provided in online communities. The results of the current study have theoretical and practical implications for scholars, website designers and policymakers.