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Training centers and labs offer many applications suitable for beginners who want to know how to set and operate a computer numerical control (CNC) milling machine. However, few applications address a basic understanding of the machining process founded on mathematical principals in line with new high-speed and high-precision machining technologies. The purpose of this paper is to present a complex mechanism in a simplified way, explaining the subject at an elementary level.

The authors have developed an application of the CNC milling machine in a Matlab/Simulink package, obtaining the appropriate parameters mathematically. The project developed an analytical method using Matlab code to test the step response (the actual cutting force) under various parameters to ensure comparability of the designed model. The analytical results are in line with the developed model. The Matlab/Simulink user interface allows the application to better explain machining for educational purposes. Furthermore, by combining this mathematical model and the fuzzy controller, the high-speed constant-force milling control model has a user interface for data entry. The addition of two kinds of fuzzy controllers (look-up table and Mamdani) achieve a more educational environment compared with existing models.

The developed technique can be used in CNC milling machine centers and laboratories. For virtual training purposes, this paper provides a two-stage educational model, giving students the necessary feedback on what they have learned at each stage from the beginning use of the CNC milling machine, with and without the controller. The system also offers to track the step-response analysis method. This method overcomes the shortage of milling processes modeled by the traditional transfer function, which more accurately establishes the relationship between cutting force and cutting parameters.

This technique can be used in the CNC machine centers and laboratory for teaching beginner students and trainees. Real data from the workshop had been used.

The earlier versions of this manuscript were presented in: JVE International LTD. Vibroengineering Procedia. +2017. 14.; IEEE 4th International Conference on Information Science and Control Engineering (ICISCE) +2017.

Recently, the repairing of reinforced concrete (RC) structures attracted great research attentions, but the research interests were mainly concentrated on common repairing types. To this end, in this paper, a repairing of pre-loaded RC beams strengthened by aramid reinforcement polymers (AFRP) is presented. Furthermore, the purpose of this paper is to study the behavior of pre-loaded RC Deep beams under sustained load. The AFRP has many advantages such as controlling stresses distribution around the openings, controlling failure modes, and enhancing the structural capacity of pre-cracked RC beams.

Four specimens were experimentally tested: one specimen without strengthening, which is considered as control specimen, one strengthened specimen using AFRP without pre-cracking and two specimens subjected to pre-cracking load before prior to AFRP application. Furthermore, after validation of experimental data by using ANSYS software, a parametric study was conducted to investigate the effect of pre-damage level on shear capacity of RC beams. For pre-cracked beams, loading was first applied until the cracking stage, followed by specimen repairing with epoxy injection, and then the specimens were loaded again until failure point.

The result showed that pre-damage level and AFRP strengthening have great influence on the ultimate strength and failure mode. In addition, the results obtained from experimental tests were compared with those from numerical validation with ANSYS and showed good agreement.

Based on ACI guidelines, an analytical equation for calculating the shear strength of strengthened RC beams with openings subjected to pre-damage was then proposed, and the calculated results were compared with those from the tests, with differences not exceeding 10%.

This paper aims to investigate how students’ attitude (SA), students’ subjective norms (SN), students’ knowledge sharing intentions (KSI) can contribute to the enhancement of knowledge sharing behaviour (KSB) among students at higher education institutes (HEI) in Oman.

This study follows the quantitative methodology and the deductive causal research approach. The data were conveniently collected through a Web-based questionnaire (Google forms) from 285 active students who are affiliated to Omani universities. SPSS was used to statistically analyse the collected data, including partial least square-structural equation modelling (PLS-SEM V3.3) to draw the results.

The study concluded that SA has both direct and indirect positive impact on SN, KSI and KSB. Moreover, the result revealed that there is a mediation effect between SA and KSB through KSI, SA and KSI when SN is playing as a mediation role.

Although this study contributes to the existing body of knowledge, this study is limited by the scarcity of the related literature in the Omani context. It is recommended that these shortfalls be addressed together while improving the knowledge-sharing behaviour among students and administrative staff. Furthermore, the potential variation between academic staff and students in terms of factors affecting their intentions to share knowledge within HEIs should be explored.

This research provides policymakers in academic fields with the appropriate approaches to leverage the knowledge-sharing behaviour amongst Omani students with the understanding of the main factors affecting individuals’ knowledge-sharing behaviours.

This will help in improving the means of employing and practising knowledge-sharing strategies within HEIs, which can generate competitive advantages amongst students and institutions while benefiting knowledge management strategies and its members.

The importance of the study stems from its context being conducted in Oman as a developing country. In addition, this study is one of the initial attempts to investigate KSB by considering SA, SN and KSI and its applicability on HEI in Oman. The findings of the study can serve as inputs to HEI in developing best practices across KSB dimensions and expanding the knowledge-sharing culture amongst HEI’s students in Oman. One of the developed strategies is the spreading of the knowledge-sharing culture among students by positively directing their attitude towards the practices of knowledge exchange.

The proponents of cash waqf speak highly about its huge potential for mobilizing the third sector of the economy to fund the socio-economic development agenda. However, the under-collection issue has been characterizing the cash waqf movement globally. This study aims to examine how understanding the distinct cash waqf donating behavior across different generations has the potential to address the problem.

This study extends the theory of planned behavior by adding religiosity and knowledge variables into the standard model, using the partial least square structural equation modeling. A survey is conducted on 684 respondents representing the main provinces in Indonesia and four major generations (Baby Boomers [BB], Generations X, Y and Z).

Religiosity, Knowledge, Attitude, Subjective Norms and Perceived Behavioral Control directly or indirectly affect cash waqf intention. The effect is contingent on the characteristics of generations.

This study covers only the Indonesian case with limited coverage of the more heterogeneous provinces in the country. The sample distribution for BB can also be enlarged.

Cash waqf institutions (government and private) should apply the dynamic segmenting strategy, where the diversification of the promotion, marketing, awareness and approaches are contingent on the different characteristics of each generation.

To the best of the authors’ knowledge, this is the first study evaluating the intergenerational determinants of Intention toward cash waqf, particularly in Indonesia.

The onset of interest‐free capital markets in the last two decades has aroused worries about the ability of the new system to mobilize sufficient supply of loanable funds and maintain a sustainable, stable economic growth.

In the COVID-19 pandemic, students were subjected to high pressure when they were forced to move to distance learning in a lockdown environment. Such a drastic move for communities living in groups with solid relationship ties comes at a price. This study aims to investigate the acceptance of distance learning amongst Omani higher education institutions (HEI) students during COVID-19 lockdown.

This is a quantitative research based on an online survey designed to study participants’ acceptance of distance learning during COVID-19 lockdown.

A sample of 757 Omani students was selected, of which 81.2% were female. About 60% of the students’ Age lies 15–20 years. The highest percentage (38.8%) of students belongs to the College of Arts and Humanities. A total of 80% of the students reported a moderate level of information technology skills, and also more than 80% of the students had never attended eLearning calls. Most of the students affirm the eLearning acceptance (students’ willingness to use eLearning tools for the tasks they are designed for), eLearning usefulness (using eLearning would enhance students’ performance), eLearning ease of use (the degree to which a student believes that using eLearning tools are free from effort), learning from home during COVID-19 and eLearning effectiveness (student’s satisfaction and the benefits student will gain from learning via online platforms). Multiple regression analysis confirms that more than 81% of the variation in the eLearning acceptance was explained by eLearning usefulness, eLearning ease of use, learning from home during COVID-19 and eLearning effectiveness independent variables. Moreover, these independent predictors have a positive association with eLearning acceptance.

This research intends to fill the gap in Omani HEI students’ acceptance of distance learning during the COVID-19 pandemic.

This article presents a general equilibrium model capable of assessing the impact of foreign price shocks on the real side of the oil‐based developing economies. The theoretical model departs from previous work in this area at least in that (1) the model takes into account endogenous income and price responses in all sectors of the economy; (2) it has two traded goods (exports and imports) and a non‐traded good; (3) it explicitly addresses the inherent open and small economic nature of developing countries; and (4) besides adjustments in the endogenous domestic prices, the model also allows for other structural adjustments. As such, the model combines the neoclassical macro theory with the structural micro approach. Empirical evidence deduced from an important oil‐based developing economy (Saudi Arabia) appears quite consistent with the model theoretical implications.