Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing an understanding of informal learning interactions between nurses and final year medical students in the workplace: An ethnographic study

Much of a medical student's training takes place in the workplace, the clinical ward environment and much of this workplace learning is recognised as being ‘informal’. Within this clinical setting nurses are primarily responsible for much of the medical student’s orientation into their new role in the workplace and medical students accept the fact that qualified nurses have much more experience. Yet, there seems to be little understanding, from within literature and in the professions of the nature and value of these informal learning interactions between medical students and nurses. There seems to be little research that has considered the nature and perceived values of these informal learning interactions for both groups. This ethnographic doctoral study’s findings led to the identification of four core categories, and related sub themes, that were presented as a conceptual model. These were 1. Recognition of informal learning activities; 2. Context (ward setting); 3. Perceived values and 4. Wider training and role clarity. The first of these categories has helped to develop an understanding of the potential characteristics of these interactions and the other categories are identified as influencing these interactions both at a cognitive and practical level that reflect the participants' perceived values. By increasing understanding of these informal learning interactions, it is hoped that medical students, nurses and relevant others will recognise the importance of “learning to learn”. An important skill for medical students in their training, as doctors of the future.
Non-GAAP Earnings: International Overview and Suggestions for Research

The purpose of this paper is to synthesize insights from existing research on the disclosure of non-GAAP earnings, from an international point of view, and suggest several avenues for future research in this area. The paper also examines how different regulators and accounting standard setters have approached the topic of non-GAAP earnings disclosure. The paper shows how non-GAAP earning have been found to be more informative than GAAP earnings in several scenarios (countries where non-GAAP disclosures are compulsory, countries where these disclosures are voluntary but regulated and countries where they are not regulated). However, in certain circumstances, these disclosures may also mislead investors. Corporate governance mechanisms can curb managers’ opportunistic use of these measures.
Lean for sustainable development in South Africa: A case study of three universities

Lean in higher education (LHE) is pursued for the reasons of improving efficiency and effectiveness of processes in High Education (HE). This review paper focuses on LHE within the university system to propose the implementation of lean culture and management into research and practices of South Africa universities, via a descriptive case study research method. The underpinning literature suggests that although the prospects of LHE has positive impact on both academic and non-academic practices in HE, however, research has also acknowledged some challenges. These challenges include; lack of strategic planning and limited knowledge on the interpretation of the lean philosophy and implementation. Three universities were used as case studies to ascertain their areas of successes with LHE implementation. This paper contributes to the LHE discourse and offers an option for the South Africa universities to strategize for improved academic outcomes and effective administrative processes. South African has been acknowledged to lead its Sub-Saharan African region in research and thus, the integration of LHE in the universities’ systems would positively impact this region and beyond. Furthermore, the paper recommends specific contextual adaptations of models tailored to meet individual institutional requirements and at the same time promote sustainable development.
A Survey on Malware Detection based on API Calls

Malware has posed serious security threats to individuals, public systems, and corporations worldwide. Therefore, how to detect malware early, preferably block it beforehand, has always been a concern for the industry and academia. Previous studies have shown that executed API calls can represent malicious behaviors. Methods leveraging both API call information and machine learning or deep learning models are proved effective and have relatively higher detection rates, thus have quickly become the hotspot of research. This survey introduces recent works about malware detection based on API calls, including the overall process of malware detection tasks, relevant state-of-the-art works using machine learning and deep learning models, and four challenges in malware detection based on API calls. It also provides some suggestions for future enhancement of malware detection methods.
Comparison of Various Noise Filtering Techniques in Strongly Nonlinear Adaptive Control

In control applications the use of observed noisy and sometimes incomplete sets of observations makes a general problem arise that traditionally is tackled by the use of various Kalman filters. The main point behind these filters is to provide some “optimized” output based on the assumption that the measurement noises are of Gaussian nature and that the subsequent measurements of the same variables are statistically independent. The original concept was developed for linear system model, the later variants were extended to tackle nonlinear models, too, since the nonlinearities make the observation and filtering problems even more significant than in the case of linear systems. The Fixed Point Operation-based adaptive controllers are especially noise-sensitive since they need the feedback of higher order derivative errors feedback than the usual Resolved Acceleration Rate controllers. For supporting them simpler noise filtering techniques were developed than the Kalman filters since no filter optimization issues were considered by them. In the resent submission the operation of various noise filtering methods are compared with each other in this special control applied for the strongly nonlinear van der Pol oscillator. The simulations confirm that instead of the use of complicated Kalman filter the simpler ones seem to be applicable as well.
When does technology anthropomorphism help alleviate customer dissatisfaction after a service failure? – The moderating role of consumer technology self-efficacy and interdependent self-construal

ABSTRACT Given the increasing presence of humanoid service robots at airports, hotels and restaurants, the current study investigates how consumers’ interdependent self-construal and technology self-efficacy jointly influence their reactions to service machines with humanlike features in a service failure context. The results demonstrate that consumers show varying levels of dissatisfaction with a service failure caused by an anthropomorphic (vs. non-anthropomorphic) self-service machine depending on their levels of interdependent self-construal (high vs. low) and technology self-efficacy (high vs. low). The underlying mechanism is self-blame. The theoretical contributions to the existing service technology research and the emerging anthropomorphism literature are discussed. This research also provides practical guidelines to industry practitioners for more efficient usage of service robots in delivering customer service.
The Encumbrance of Institutional Investor and Board of Directors in Reducing Risk of Default for Conventional Bonds and Sukuk in Malaysia

ABSTRACT Sukuk yields mimic those of conventional bonds due to having similar features. Sukuk are shariah-compliant securities that offer different structures to those of conventional bonds. Therefore, it is believed that the spreading of yields should also be different. The presence of key institutional investors/owners and certain Board of Directors (BOD) characteristics as highlighted by the Malaysian Code on Corporate Governance (MCCG) may influence the yield to maturity (YTM) of conventional bonds and sukuk. Thus, the main objective of this study is to investigate the relationship between these two yield spreads instruments with corporate governance mechanisms. The data is obtained from firm issuers’ annual reports, the Bondinfo Hub of the Malaysian Central Bank, the Rating Agency Malaysia (RAM), the Malaysian Department of Statistics and Bloomberg databases for the period beginning 2000 to 2014 for 256 and 405 tranches of long-term and medium-term issuances of conventional bonds and sukuk respectively. The most significant findings show that the presence of top-six and other institutional ownerships as corporate governance mechanism proxy insignificantly and significantly reduce yield spreads within the firm revealed by Ordinary Least Square (OLS) and random effects models in long-term and medium-term issuances. Keywords: Institutional ownership; board of directors; yield spreads; robust; default risk ABSTRAK Sukuk adalah sekuriti patuh-shariah yang mempunyai struktur berbeza berbanding struktur bon konvensional tetapi mempunyai ciri-ciri yang hampir serupa. Sehubungan itu, pembahagian julat hasil sepatutnya tidak sama. Kehadiran pelabur/pemilik institusi utama serta ciri-ciri Lembaga Pengarah (LP) yang tertentu yang ditekankan oleh Kod Tadbir Urus Korporat Malaysia (‘MCCG’) mungkin mempengaruhi hasil hingga tempoh matang (YTM) bagi bon konvensional dan sukuk. Oleh itu, tujuan utama kajian ini adalah untuk menyelidik hubungan di antara julat hasil kedua-dua instrumen ini dengan mekanisma tadbir urus korporat. Data kajian diambil dari laporan tahunan syarikat penerbit, Bondinfo Hub Bank Negara Malaysia, Rating Agency Malaysia (RAM), Jabatan Perangkaan Malaysia dan Bloomberg bermula dari tahun 2000 sehingga 2014 ke atas penerbitan bon-bon konvensional dan sukuk jangka-panjang dan jangka-sederhana, masing-masing sebanyak 256 dan 405 tranch. Penemuan utama menunjukkan bahawa kehadiran pemilikan enam teratas dan lain-lain institusi sebagai proksi mekanisma tadbir urus korporat masing-masing mengurangkan julat hasil secara tidak signifikan dan signifikan seperti yang diperolehi dari model ‘ordinary least squares’ dan ‘random effects’ bagi penerbitan jangka-panjang dan jangka-sederhana. Kata kunci: Pelabur Institusi; Lembaga Pengarah; Julat Hasil; Dinamik; Risiko Tidak-bayar
Generating Autonomous Driving Test Scenarios based on OpenSCENARIO

At present, with the rapid development of autonomous driving technology, simulation test has become an important means of autonomous driving technology verification and evaluation due to its high-test efficiency, strong repeatability, low cost, and process safety. However, the parameters in the test scenarios in the current simulation test are all fixed values, the test is only a discrete test, and a comprehensive test of the entire parameter space is lacking. Therefore, this paper proposes a generating method of autonomous driving test scenarios based on OpenSCENARIO and constructs a test scenario including parameter space. This method automatically builds the test scenario by constructing the configuration file of the test scenario and writing Python scripts. When executing the test scenario, the road elements, weather elements and traffic participant elements are used to screen the test scenarios that conform to the operation design domain of the autonomous driving, and the autonomous driving function is tested and verified through the Carla simulation platform. Finally, a test scenario is built for the lane keeping function. Experiments show that the test scenarios constructed automatically in this paper can not only meet the needs of autonomous driving simulation test, but also simplify the writing of test scenarios and greatly improve the efficiency of scenario construction.
A developed single-phase cascaded multilevel inverter with reduced number of circuit devices

ABSTRACT In this paper, an advanced configuration for multilevel voltage source inverters is proposed. The proposed topology can be used as symmetric and asymmetric inverter. In asymmetric mode, DC sources’ magnitudes are defined in a way that the number of output voltage levels gets more than the case when the symmetrical DC sources are applied. In this regard, to calculate the magnitudes of required DC voltage sources, several different solutions are proposed. In multilevel inverters, the overall cost, circuit size and so installation area, complexity of control scheme and reliability are directly dependent on the number of circuit devices needed. The provided comparison study among suggested inverter in all defined solutions, CHB and recently proposed converters validates that the proposed modular inverter uses reduced number of circuit devices. The provided simulation and experimental results confirm the feasibility of the proposed structure and show that the obtained results are in good agreements.
Fast alarm processing without connectivity information

This paper introduces an alarm processing without using any connectivity information of the substation electrical network. In order to do so, timestamp and location readily defines specific alarm patterns. In this sense, the proposed algorithm resembles the typical procedure that operators do. This specialized alarm processing allows fast recognition of the most important events in a substation: typically, more than 70% of the alarms belong to the three groups presented in this paper. Tests in a notebook show that it is possible to process 1025 alarms per second with a state machine that model the specialist behaviour of each group, while a typical maximum density is 1,000 alarms per minute.
Smartification of urbanized cities, approach and proposal

When smartification deals with existing urban areas, the approach could not be the one used for green field. The user should be the main player, with its daily pain points and with the perception of urban areas that he feels as citizen. The present paper offers an approach and an application of it to a real city. The project is a proposal, that the authors built on the city of Turin, taking into consideration 5 areas and proposing a mobility mode for each of them. The holistic approach grants connection and complementary among the 5 area projects. The purpose is not the creation of a smart city as a tag, as a technological achievement for its own sake; it is completely focused on daily life of users and on how to make it more seamless, more enjoyable, with higher quality.
Harmonics Mitigation Filter for High-Power Applications

This research work proposes a cost-effective Hybrid Active Harmonic Filter (HAHF) method to mitigate current harmonics in an industrial or commercial power network. The proposed HAHF is based on a Silicon-Controlled Rectifier with an Electronic Inductor (SCR-EI) topology with a reduced number of fully active switches and a better harmonic performance. A new shifted-pulse current modulation method is proposed to cancel harmonics caused by other converters. A Particle Swarm Optimisation (PSO) algorithm is implemented to optimise the modulation parameters and minimise the total harmonics. A lab prototype is implemented in the laboratory to validate the proposed mathematical method and simulation results.
ARDS: A Model for Securing Data in Mobile Cloud Computing

For the last few years, mobile usage has grown significantly especially smartphones. Most people decided dispensing the use of their personal computers (i.e. desktops or laptops) and use mobile device instead. Because of mobile limitations, such as limited battery life, limited size of memory, and limited processor’s power, the need for Mobile Cloud Computing (MCC) has been increased. The big issue of using MCC is data privacy and security. Data need to be secure while transmission and storage on cloud. This paper proposes a model to secure mobile user’s data. This model uses AES, and RSA Digital Signature (ARDS) algorithms. This model provides confidentiality, authentication, and integrity of data stored on mobile cloud. Our model is compared with Garg & Sharma’s model that uses RSA, Hashing, and DES algorithm. Keywords: Mobile cloud computing, cloud, security, data storage, privacy, confidentiality, integrity, authentication.
Klasifikasi Judul Buku dengan Algoritma Naïve Bayes dan Pencarian Buku pada Perpustakaan Jurusan Teknik Elektro

Berdasarkan Undang-undang Republik Indonesia Nomor 43 Tahun 2007 tentang Perpustakaan menyebutkan bahwa penyelenggaraan pendidikan nasional memerlukan pengembangan layanan perpustakaan berbasis teknologi informasi dan komunikasi sehingga Universitas Negeri Semarang khususnya Jurusan Teknik Elektro perlu adanya pengembangan layanan tersebut. Ketiadaan pengembangan layanan tersebut di perpustakaan Jurusan Teknik Elektro mengakibatkan pihak pengelola dan mahasiswa pengunjung perpustakaan mengalami kesulitan dalam mengelola dan menemukan referensi buku yang dicari. Pada penelitian ini, metode yang digunakan yaitu waterfall dengan pengujian performance measure, uji black box, dan uji sistem oleh ahli. Adapun pengujian performance measure memperoleh nilai precision 94,56%, recall 88,20%, f-measure 90,46%, dan akurasi 97,78%. Sedangkan uji sistem oleh ahli menghasilkan persentase rata-rata 87,3%. Dari hasil-hasil tersebut, disimpulkan bahwa sistem berfungsi dengan baik serta algoritma Naive Bayes dapat digunakan untuk pengklasifikasian buku. Untuk penelitian selanjutnya, diperlukan penataan buku koleksi perpustakaan sesuai kategori dan penelitian ini dapat dikembangkan dengan algoritma klasifikasi lainnya untuk melakukan perbandingan hasil performance measure.
A New Synchronization Method for WPT System

Active rectifier is commonly used in wireless power transfer system for improving efficiency. Synchronization technology is critical for active rectifier. The hardware of traditional synchronization method is instability or the hardware is complex. In this paper, a new synchronization method is proposed for the WPT system, in which the resonant current zero crossing doesn’t need to be detected. The proposed method can avoid the false trigger caused by the zero-cross detection in traditional synchronization methods. Finally, a 1kW experimental prototype is built to verify the validity of the proposed method.
Compact smart solid-state relay with WiFi connectivity

The smart homes has an important role of the carbon footprint reduction as the cities create an estimated 65% of global energy demand and cause 70% of global carbon dioxide emissions. The conversion of the ordinary homes into the smart ones using the wireless technologies may reduce the energy use at the same time as supporting optimal comfort and convenience. The proposed compact smart solid-state relay with WiFi connectivity allows a remote control of the home environment to save energy and it also may be controlled via near-field communication such as RFID or NFC to automatically adjust the environment parameters.
The environmental footprint of academic and student mobility in a large research-oriented university

Academic mobility for field work, research dissemination and global outreach is increasingly recognized as an important contributor to the overall environmental footprint of research institutions. Student mobility, while less studied, also contributes to universities’ environmental footprint. Université de Montréal (UdeM) is the largest university in Montréal, Canada. It has a research budget of 450M$, employs 1426 full-time professors, and has a total student population of 33 125 undergraduate and 12 505 graduate students. To assess the footprint of academic mobility at UdeM, we surveyed the research community (n = 703; including professors, research professionals and graduate students) about their travel habits. We also measured the contribution from travel undertaken by sports teams and international students as well as students engaged in study abroad and internships programs using data provided by the university. While the average distance travelled for work and research purposes by the UdeM community is around 8525 km/person, professors travel more than 33 000 km/person per year. We also estimated that the 5785 international students or students enroled in study abroad programs travel annually around 12 600 km/person. UdeM’s per capita annual travel-related C and N footprints vary, with international students generating for example 3.85 T CO2 and 0.53 kg N while professors generate 10.76 T CO2 and 2.19 kg N. Air travel emissions are the main contributors to these footprints. We provide insights into the distribution of travel-related environmental footprint within the university, the main reasons for travelling, the most frequent destinations, and the factors preventing researchers from reducing their travel-related environmental impact.
Ensuring Physically Realizable Storage Operation in the Unit Commitment Problem

A linear and convex model has been recently presented for the operation of battery energy storage units that does not explicitly prevent their simultaneous charge and discharge in the problem formulation. This letter claims that the model in such a literature contribution is capable of ensuring the physical realizability of the battery dispatch only when nondiscrete decisions are considered in the optimization problem. This claim is demonstrated through the solution of two instances of a simple unit-commitment-based example comprising two generating units, one battery energy storage unit, and two time periods.
The impact of cyberhunt on reading comprehension level in foreign language teaching

The aim of this study is to determine the effect of the Cyberhunt activities and the methods in the current curriculum on students’ reading and comprehension level in English. This study was conducted using the quasi-experimental design. Participants of this study consisted of 32 fifth grade students who are studying in a secondary school from Çilimli district of Düzce province in the 2017-2018 academic year. The simple present tense test was applied to the students as pre-test and post-test to determine whether the initial conditions were equal before the test process and whether the method used in the foreign language lessons in the experimental and control groups was active after the application process. Dependent samples t-test, independent samples t-test, and regression analysis were applied to the scores of the students in experimental and control groups. As a result of the analyses made, there was a significant difference between the post-test scores of the experimental group students who are studying English language courses with Cyberhunt activities and the control group students who are studying the foreign language courses with the methods in the current curriculum in favor of the experimental group. It was also found that the Cyberhunt is a significant predictor of reading comprehension level. In addition, as a result of the independent samples t-test made on the final test scores of the students in the experimental group, the achievement levels of the students show no difference according to gender.
Main and Interaction Effects of ‘Power Distance’ and ‘Uncertainty Avoidance’ on Innovation in Small and Medium Enterprises in Egypt

The main objective of this study was to investigate the direct and interaction effects of two of Hofstede’s cultural metrics, namely power distance and uncertainty avoidance, on organizational innovation in small and medium enterprises in Egypt. A structured questionnaire adapted from a previous study was distributed amongst employees from different managerial levels. 326 completed questionnaires were collected. Results suggested that the national culture influences the level of strategic innovation in small and medium enterprises operating in Egypt. Power distance enhances strategic innovation; however, uncertainty avoidance inhibits it. Studies on Egyptian enterprises, and Egyptian small and medium enterprises are fundamentally underrepresented in previous literature.