BACKGROUND: The effectiveness of the paper’s bibliometric analysis and systematic assessment of change management research in administrative and technological studies may open the way for more study in this field. This study may be the first of its type, and its findings will be useful to other academics working in the subject of change management. OBJECTIVE: The goal of this literature study is to identify essential ideas that might influence change management and to lay the groundwork for future research in change management that uses bibliometric analysis. The evaluation determines the most important and frequently used terms connected with change management. METHODS: The method used in this study is a systematic review of change management publications from Web of Science. RESULTS: The most often used terms in change management research, according to the survey, were Leadership, Organizational Change, Organizational Development, Organizational Culture, Performance, Innovation, Framework, Technology, and Transformation. Change management papers were mostly published in the United States, China, Pakistan, Germany, Australia, and Finland. IMPLICATIONS: The study’s findings may be used to generate articles on change management in the market discipline, notably in the domains of business and technology.

The current work was designed to study the operating modes of electromagnetic impact mechanism (electromagnetic hammer) comprising idle and working stroke windings that are enclosed in magnetic conductor, and reciprocating ferromagnetic striker. Investigation was conducted by modelling in MATLAB environment and performing verification tests with different hammers. Simulation model of the hammer was derived using experimentally obtained static characteristic curves of flux linkage and thrust force for each of the windings. Results revealed that at maximum working stroke winding voltage-varying idle stroke winding voltage, the impact energy did not change, but the impact frequency varied between 0-187 bpm. At maximum idle stroke winding voltage and working stroke winding voltage ranging between 0 to maximum value, the impact energy varied between 84-360 J, the impact frequency varied between 96-187 bpm. Maximum losses over the working cycle were associated with electric losses in the hammer windings and can be reduced by reducing winding currents through increasing the striker speed. The mathematical model of the current study allowed quantifying energy parameters of the electromagnetic hammer. The impact machine cycle includes three operating modes, each determines the main energy parameters: efficiency, impact energy, and cycle time.

Background: Human beings have an attraction to sweet items: desserts, fruits, honey, etc., which stimulate the sense of taste. However, sweet things tend to have many calories, thus contributing to issues with obesity. Moreover, those with diabetes must strictly limit their consumption of sugar to maintain their blood glucose levels within acceptable limits. Artificial sweeteners contain substances from several distinct chemical classes. The effects of artificial sweeteners on clinically relevant outcomes such as insulin, blood glucose, and lipids have been incompletely studied. Objective: This study aims to assess the effects of artificial sweeteners on blood glucose, triglycerides, and insulin in healthy, non-diabetic, and diabetic type 2 patients. Methods: Levels of glucose, triglycerides, and insulin in serum samples from 25 patients with confirmed Diabetic type 2 disease and 30 normal controls were determined at 30, and 60 after the ingestion of the drinks. Results: Levels of glucose, triglycerides, and insulin were notably higher in patients with diabetic Mellitus compared with the normal group. Both triglycerides and insulin (60 min) were elevated significantly above baseline after the intake of the artificial sweeteners in diabetic patients; however, values for all other conditions across time were very stable. Conclusion: There is no reason to suppose that a higher consumption would result in an elevation in these measures. Any noted insulin resistance linked to a high intake of artificial sweeteners is likely a function of the excess calories and processed ingredients often included within artificially sweetened food and beverage products.

Voice over internet protocol (VoIP) calls are increasingly transported over computer-based networking due to several factors, such as low call rates. However, point-to-point (P-P) calls, as a division of VoIP, are encountering a capacity utilization issue. The main reason for that is the giant packet header, especially when compared to the runt P-P calls packet payload. Therefore, this research article introduced a method to solve the liability of the giant packet header of the P-P calls. The introduced method is named voice segment compaction (VSC). The VSC method employs the unneeded P-P calls packet header elements to carry the voice packet payload. This, in turn, reduces the size of the voice payload and improves network capacity utilization. The preliminary results demonstrated the importance of the introduced VSC method, while network capacity improved by up to 38.33%.

This study aimed to investigate cultural differences in the design of e-commerce websites by undertaking a semiotic analysis. The study utilized semiotic analysis methods to examine the relationships among signs, symbols and their meanings on e-commerce websites. Specifically, six popular e-commerce websites from two culturally distinct countries, Australia and the United Arab Emirates (UAE), were selected for analysis. The semiotic analysis of the e-commerce websites revealed significant differences in design attributes between the two countries. Specifically, the findings showed that UAE websites emphasize visual elements such as graphics and layout to engage users aesthetically, whereas Australian websites prioritize text-based content to ensure clear and direct communication. This divergence can be attributed to cultural disparities, with Arab culture valuing additional context and Australian culture favouring a more straightforward approach. This implies that different interface designs may be necessary to effectively communicate with and cater to the diverse cultural groups within each country.

The COVID-19-related restrictions imposed to reduce viral transmission have highlighted the need to support the importance of maternal breastfeeding. Clear guidelines for consistent practices across settings have been drawn up on the basis of the best available data. Emerging recommendations call to increase nurses' and midwives' awareness of these guidelines. This study aimed to explore nurses' and midwives' awareness of the recommended breastfeeding practices and associated factors in Jordan during the COVID-19 pandemic. An online descriptive cross-sectional design was adopted. This study was conducted in clinical settings representing Jordan's North, Middle, and Southern regions. One hundred seventy nurses and midwives were selected through a convenient sampling technique. The mean total score of the awareness was 7.78 (SD = 1.60); 62.9% of participants were highly aware of the recommended breastfeeding practices. Nurses and midwives who were aware of the recommended breastfeeding practices during the pandemic of COVID-19 (90.7%) were more likely to perceive COVID-19 preventive measures as effective than those who were not aware of breastfeeding practices (74.6%) (χ2  = 7.886, p = .005), while work experience in years (χ2  = 8.966, p < .01) was significantly associated with awareness of the breastfeeding recommended practices. Most Jordanain nurses and midwives were highly aware of the recommended breastfeeding practices during COVID-19 pandemic. This awareness was positively associated with working experience and perceiving that the preventive measures of COVID-19 are effective. Educational programs for nurses and midwives about breastfeeding practice recommendations are necessary to help mothers obtain appropriate care and education.

Autonomous security unmanned aerial vehicles (UAVs) have recently gained popularity as an effective solution for accomplishing target/intrusion detection and tracking tasks with little or no human intervention. In this context, we aim at developing an autonomous UAV system for detecting a dynamic and uncertain intrusion within an area, in which the intruder/target moves from one location to another within the area according to an unknown random distribution. The problem of finding an uncertain target while considering the energy causality constraint of the UAV&#x2019;s battery and the uncertainty of the target movement is mathematically formulated as a search benefit maximization problem, which cannot be directly optimized due to the uncertain unknown target movement. Thus, we reformulate the optimization problem as a Markov-decision process that can be solved using reinforcement learning (RL) techniques. Then, we implement an RL-based algorithm to solve the reformulated benefit maximization problem by enabling the UAV to autonomously learn the dynamics of the intruder/target. Specifically, different design variants of the RL-based algorithm are implemented that differ in the used temporal difference methods (i.e., Q-learning or state-action-reward-state-action), and in the exploration algorithms (convergence-based or <formula><tex>$\epsilon$</tex></formula>-greedy). Simulation results show RL algorithms&#x2019; superiority and effectiveness over existing random and circular target detection algorithms.