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Faculty Videos of Resilience Narratives at Two Institutions: Residency Resilience Skills Program Innovation
No full textBurnout and mental health issues among residents are associated with adverse health consequences and suboptimal job performance, e.g. increased medical error. Given role models as key to cultivating resilience, we created faculty resilience narrative videos within resilience skill training programs, hypothesizing such videos would provide new perspectives/insights on resiliency and humanize attendings in a useful way. Child and adult neurology residents at two institutions positively rated the impact of these faculty videos. Such videos are an innovative and practical way to: 1) provide exemplar role models for learning about coping with physician challenges and gaining insights on resilience; 2) access stories of triumph over challenge for inspiration; and 3) work to achieve local culture change by reducing stigma and increase empathy/connection during training. Successful implementation of this video innovation provides good rationale for further evaluation of impact on local culture, faculty experience, and resident attitudes and behavior
Evaluation of Multi-Peer and Self-Assessment in Higher Education: A Brunei Case Study
No full textThis article presents an evaluation of the use of peer and self-assessment as part of the learning process in a public speaking assessment coursework, with students from two departments taking part. Students were assessed by themselves, their peers and the lecturer using an online platform, Google forms, utilizing a set of rubrics. The marks were compared between markers to identify similarities and differences. After the process, student feedback on the experience was obtained using a questionnaire utilizing the Likert seven point scale to rate different questions. Analysis of the marks awarded found that whilst there might be correlations between different markers (i.e. peer – self) for marks on certain subsections of the work, there was no overall correlation between marks. Student perceptions to the exercise indicated that the use of rubrics was well received; students considered it a fair assessment method and it provided information on how to perform well in the assessment
Unsupervised Model for Detecting Plagiarism in Internet-based Handwritten Arabic Documents
No full textDue to the rapid increase of internet-based data, there is urgent need for a robust intelligent documents security mechanism. Although there are many attempts to build a plagiarism detection system in natural language documents, the unlimited variation and different writing styles of each character in Arabic documents make building such systems challenging. Based on its position in a word, the same Arabic letter can be written three different ways, which makes the handwritten character recognition a cumbersome process. This article proposes an intelligent unsupervised model to detect plagiarism in these documents called ASTAP. First, a handwritten Arabic character recognition system is proposed using the Grey Wolf Optimization (GWO) algorithm. Then, a modified Abstract Syntax Tree (AST) is used to match the contents of the Arabic documents to detect any similarity. Compared to the state-of-the-art methods, ASTAP improves the effectiveness of the plagiarism detection in terms of the matched similarity ratio, the precision ratio, and the processing time
Human Factors Affecting HMS Impact on Nurses Jobs: HMS Impact in Nursing
No full textTo improve and facilitate patient care, hospital administrators have implemented healthcare management systems (HMS). Unfortunately, many hospitals have encountered HMS implementation problems. Some user-related factors have been proposed in the literature as important to system success. This study proposes an integrative model and empirically tests the importance of these variables as determinants of HMS impact on the jobs of nurses. Data from 213 nurses using their hospital HMS has been used to test the relationships between the independent variables and the HMS impact on the nurses' jobs. The results confirm the importance of nurse participation, training, good communication with developers, and lack of conflict regarding system implementation enabling a more desirable effect of HMS on nurses' jobs. Based on the results, recommendations are made for hospital administrators to improve the likelihood of HMS implementation success
A Hybrid Intrusion Detection System for IoT Applications with Constrained Resources
No full textNetwork security and network forensics technologies for the Internet of Things (IoT) need special consideration due to resource-constraints. Cybercrimes conducted in IoT focus on network information and energy sources. Graph theory is adopted to analyze the IoT network and a hybrid Intrusion Detection System (IDS) is proposed. The hybrid IDS consists of Centralized and Active Malicious Node Detection (CAMD) and Distributed and Passive EEA (Energy Exhaustion Attack) Resistance (DPER). CAMD is integrated in the genetic algorithm-based data gathering scheme. CAMD detects malicious nodes manipulated by cyber criminals and provides digital evidence for forensics. DPER is implemented in a set of communication protocols to alleviate the impact of EEA attacks. Simulation experiments conducted on NS-3 platform showed the hybrid IDS proposed detected and traced malicious nodes precisely without compromising energy efficiency. Besides, the impact of EEA attacks conducted by cyber criminals was effectively alleviated
Who Are More Active and Influential on Twitter?: An Investigation of the Ukraine's Conflict Episode
No full textTwitter is an emerging form of news media with a wide spectrum of participants involving in news dissemination. Owing to their open and interactive nature, individuals, non-media, and non-commercial participants may play a greater role on this platform; thus, it is deemed to disrupt conventional media structures and introduce new ways of information flow. While this may be true in certain aspects in news dissemination such as allowing a broader range of participants, the authors' analysis of the involvement and influence of the different participant types, based on a large tweets dataset collected during the Ukraine's conflict event (2013-2014), portrays a different picture. Specifically, the results unveil that while non-commercial participants were the most “involved” in generating tweets about the news event, the retweets they attracted, a common measure of influence, were among the lowest. In contrast, mass media and sources related to journalists, professional associations and commercial organizations garnered the highest retweets
A System Dynamics Model for Sales and Operations Planning: An Integrated Analysis for the Lime Industry
No full textThe use of system dynamics techniques to model the sales and operations planning (S&OP), associated with the economic and financial processes, is an innovative proposal. The objectives of this article are to model and simulate the S&OP process integrated with the financial management in a Brazilian lime processing industry, based on the system dynamics approach. Initially, the model was validated. Then, over twenty scenarios were simulated to assess the behavior of the system with its key factors variation. In the microenvironment scenarios, the company's internal perspective was the only element taken into account. In turn, regarding the macro environment scenarios, the basis was the projection of lime consumption related to the country's GDP. The results have genuinely contributed to the industry researched, since the lime processing industry is struggling with obtaining enough supply due to lime acquisition price fluctuations and, consequently, the oscillation of its production costs
Cointegration and Causality Study Among Inward FDI, Economic Growth and Exports: An Indian Perspective
No full textOne significant feature of liberalisation for India has been a greater openness to foreign direct investment (FDI) as a means of acquiring technologies, skills and access to international markets, and of entering dynamic trade and production. The study analyses the empirical relationship between inward FDI, economic growth and exports of India from 1970-71 to 2013-2014. The objective of this article is to investigate the relationship between FDI, economic growth and exports empirically. The error correction coefficient value indicates a 15.02% movement back towards equilibrium following a shock to the model, one time period later. OLS indicate significant long-term causality relationship among the variables with high R2 value to the tune of 0.758660. The Wald Test establishes short-run causality from economic growth to inward FDI, and from exports to inward FDI. A one-way causality relationship is running from exports to inward FDI. Economic growth causes inward FDI, but, inward FDI is not causing economic growth. Exports cause inward FDI, and inward FDI does not cause exports
Marketing in an Economic Downturn – Challenges and Opportunities: Marketing in an Economic Downturn
No full textThe business environment is uncertain. It becomes even more turbulent during recession. This uncertainty directly affects the investments made by firms. Firms hesitate to invest during a recession because of the belief that the returns will not be commensurate with the investment made. Nevertheless, there are firms which develop strategies and invest during recession. The article discusses various strategies which firms may adopt to survive and also excel during recession. The advantages and the disadvantages of the following those strategies are discussed. The article also focuses on firms which implemented strategies to overcome recession and established themselves in the minds of customers. This article might help firms and practitioners in identifying the most effective strategies to be adopted for excellence during an economic downturn
A Reversible Watermarking Algorithm Resistant to Image Geometric Transformation
No full textThis article proposes a novel robust reversible watermarking algorithm. The proposed watermarking scheme is reversible because the original image can be recovered after extracting watermarks from the watermarked image, as long as it is not processed by an attacker. The scheme is robust because watermarks can still be extracted from watermarked images, even if it is undergone some malicious or normal operations like rotation and JPEG compression. It first selects two circles, which are centred at the centroid and the centre of image. Then, statistic quantities of these two circles are employed for robust watermark embedding by altering the pixels' value. The side information generated by above embedding process will be embedded as fragile watermarks at another stage to ensure the recovery of original image. Experimental results verify the high performance of the proposed algorithm in resisting various attacks, including JPEG compression and geometric transformation