Miracle-dz/UniFAR-FTUs huggingface dataset:
Regular Polysemy in WordNet and Pattern based Approach

WordNet represents the polysemous terms by capturing the different meanings of them at lexical level implicitly without giving emphasis on the polysemy types they belong to. This problem affects the usability of WordNet as a suitable knowledge representation resource for Natural Language Processing applications. The current work presents pattern based approach for solving the polysemy problem by transforming the implicit relations between the synsets at lexical level into explicit relations at the semantic level. Keywords— lexical databases; WordNet; specialization polysemy; metaphoric polysemy; homonymy; regular polysemy; polysemy reduction; lexical semantics; semantic search; knowledge engineering
Can South African biokineticists function as recreational therapists: a review of the minimum training standards relevant to each profession?

ABSTRACT In South Africa, the profession of Recreational Therapy is recognized by neither the Health Professions Council South Africa (HPCSA) nor the Allied Health Professions Council of South Africa (AHPCSA). However, the South African profession of biokinetics is an accredited HPCSA member, which shares a proximity of Recreational Therapy. The American National Council for Therapeutic Recreation Certification (NCTRC) serves as the gold standard for the prescribed minimum training standards (MTS) of the profession of Recreational Therapy due to the absence of a national South African health statutory affiliation. This commentary reviews the MTS of biokinetics as compared to the NCTRC MTS, so as to ascertain whether biokineticists can function as recreational therapists. A literature search was conducted in Google Scholar, using the key-search terms “recreational therapist biokineticist. ” Six hundred and fourteen records were uncovered, which were reduced to nine. The quality of each record was evaluated through the use of the modified Downs and Black Appraisal Scale. The literature analysis suggests that the MTS of the South African Biokinetic curriculum and those of the NCTRC share a number of common prerequisites, but are not wholly in accordance with each other. Biokineticists are therefore inequitable to American NCTRC trained recreational therapists.
Bounded decision‐making, teachers’ reflection and organisational learning: How research can inform teachers and teaching

Despite numerous efforts to align educational practice more closely with findings from educational research, there is little clarity about how educational practitioners can, in principle, use research. We propose a conceptualisation based on how research can contribute to practitioners’ thinking: specifically, our framework proposes that research can inform bounded decision‐making, teachers’ reflection and organisational learning. Practitioners can also use research without being aware that they are doing so. We argue that this conceptualisation of research use has potential to inform researchers and practitioners
THE IMPACT OF THE APPLICATION OF THE ACCOUNTING CONCEPT OF FAIR VALUE ON THE QUALITY OF FINANCIAL STATEMENTS OF BUSINESS ENTITIES IN BOSNIA AND HERZEGOVINA

The primary objective of financial reporting in a modern market economy, which is based on the capital market, is to inform the investor about the financial position of a business entity. The unavoidable theme in modern accounting research is the valuation of balance sheet positions, regardless of the type and size of the business entity whose reports are the subject of this paper. The purpose of the research is to investigate whether there is a connection between the frequency of applying the accounting concept of fair value in valuing property positions and the quality of financial statements for businesses in Bosnia and Herzegovina. The target population comprises 34,515 small, medium and large enterprises registered as joint stock companies and limited liability companies in Bosnia and Herzegovina, and the questionnaire will be used as the empirical research instrument. The questionnaire is structured in parts to obtain knowledge about which technique or approach business entities use when using the fair value for the valuation of balance sheet items, and consequently how it affects the relevance, comprehensibility, comparability and credibility of the information presented in the financial statements.
Pilot study boot camp: professional engineering roles experienced in a week

Engineering education has recognised that engineering graduates require transversal competencies like communication, teamwork and problem-solving alongside technical competencies. The importance of transversal competencies has grown and curriculum elements have been implemented to stimulate these competencies. However, a gap still exists between what education provides and practice requires. To reduce this gap and increase engineering student’s employability, lecturers need to expose students to transversal competencies and allow them to practice them throughout the curriculum. For the purpose to stimulate the development of students’ transversal competencies necessary to engineering careers, a week-long style boot camp course was designed and implemented at the Delft University of Technology. In this study, a pre and post-questionnaire and a reflection were administered to students to evaluate the transversal competencies encountered and acquired by the students during the course, their engineering role awareness and course efficacy. Findings revealed that students improve in their transversal competencies including presentation skills, interdisciplinary thinking, innovation and creativity, and professional engineering role knowledge during the course. However, improvements in the attracting of students to the course and specification of the assignment need to be addressed for the next run of this course scheduled for next year. Lecturers are encouraged to implement authentic learning experiences like this, as these experiences provide students with awareness and practice of the engineering roles and stimulate students’ transversal competency development necessary to be successful in those roles.
A Socio-technical Process Model for Improving the Requirements Analysis Phase of Socio-technical System

Software development is the process of building systems that solve users’ need and satisfy stakeholders objectives. Such needs are determined through a requirements elicitation process, which is considered an intensive, complex, and difficult by its nature, and the multidisciplinary nature of it adds to this complexity. As a result, improving the elicitation process is a critical goal for the development of information systems since incomplete requirements is a primary cause of system development failure. Traditional methods of elicitations failed because these methods focus only on the technical aspects and constraints of the systems. The success of information system development involves the identification of the social, organizational and technical features of the systems, which in turn results in a more acceptable system by users. As a result, sociotechnical systems design methods have been widely discussed in literature, and aim at giving equal weight to the social and technical issues during system design. This research aims to address a number of problems through the development and evaluation of a Socio-Technical (ST) process model that aims to provides a systematic process for requirement elicitation of ST systems, accounts for social and technical aspects of systems, improve requirement elicitation questionnaire quality, and improve analysts’ domain knowledge and interview readiness. In this dissertation, we explore the potential for a socio-technical process model in enhancing analysts’ domain knowledge for the requirements elicitation phase. More specifically, we explore the potential for the socio-technical process model to enhance analysts’ domain knowledge, interview readiness, and the questionnaire quality that they will use to gather the necessary system requirements. Following design science guidelines, we have developed a socio-technical process model with demonstration in the self-care management area. Evaluation is done using empirical investigation with a randomized two group experimental design, where the objective is to see the potential for the proposed process model in enhancing analysts’ domain knowledge, interview readiness, and questionnaire quality.
Human Action Recognition-Based Summarization of User-Generated Sports Video

Nowadays, a vast amount of videos are taken due to the exponential growth of commercial devices capable of video recording. The main targets of such videos include sports that users may record in, e.g., a public event or a professional match. These videos are usually long, containing redundant and uninteresting parts, and thus they are often stored and never reviewed again. The field of sports video summarization allows to automatically extract the highlights of the original video for a quick review. Existing work in this field leverages various knowledge in application domains, e.g., structure of games and editing conventions, which are commonly found in broadcast video. However, users’ self-recorded videos normally lack any kind of editing conventions and the structure of the sport is sometimes lost, and thus the existing work is ineffective. This thesis approaches the challenge of summarizing self-recorded sports video by resorting to the field of human action recognition (HAR). We hypothesize that players’ actions can be recognized and used as a novel source of semantics to elaborate summaries. The greatest difficulty in HAR is to deal with the variability in the actors’ anthropometry and the camera viewpoint. This can be alleviated by using depth information, obtainable by widely used commodity RGB-D sensors (e.g., MS Kinect). The state-of-the-art works in HAR use classifiers that require a large amount of training data, but in some cases we may not have such a big dataset, e.g., when using a self-recorded one. ∗Doctoral Dissertation, Graduate School of Information Science, Nara Institute of Science and Technology, NAIST-IS-DD1461215, March 22, 2017.
Teachers’ Perception toward the Ministry of Religious Affairs’ English Textbook: A Case Study

This study aimed to explore how teachers perceived the use of English textbooks, including problems teachers raised about using them. The participants consisted of six teachers of English in Madrasah Aliyah Negeri Rengel, Tuban. Through classroom observations and semi-structured interviews, it was found that the pro-textbook teachers believed that without textbooks teaching could not be conducted effectively. Some of them revealed that textbooks should go hand in hand with supplementary teaching materials to serve learners' needs. On the contrary, the anti-textbook teachers believed that the use of English textbooks was wasting time. The teachers also reflected on direct and indirect problems which affected the use of English textbooks.
Low-Resource Footprint, Data-Driven Malware Detection on Android

Resource-constrained systems are becoming more and more common as users migrate from PCs to mobile devices and as IoT systems enter the mainstream. At the same time, it is not acceptable to reduce the level of security hence it is necessary to accommodate the required security into the system-imposed resource constraints. This paper introduces BAdDroIds, a mobile application leveraging machine learning for detecting malware on resource constrained devices. BAdDroIds executes in background and transparently analyzes the applications as soon as they are installed, i.e., before infecting the device. BAdDroIds relies on static analysis techniques and features provided by the Android OS to build up sound and complete models of Android apps in terms of permissions and API invocations. It uses ad-hoc supervised classification techniques to allow resource-efficient malware detection. By exploiting the intrinsic nature of data, it has been possible to implement a state-of-the-art data-driven model which provides deep insights on the detection problem and can be efficiently executed on the device itself as it requires a very limited computational effort. Besides its limited resource footprint, BAdDroIds is extremely effective: An extensive experimental evaluation shows that it outperforms the currently available solutions in terms of accuracy, which is around 99 percent.
Evaluating the effect of mobility speed on the performance of three handover algorithms in long term evolution networks

This work uses NS3 simulation to study the effect of mobility speed on the performance of three handover algorithms in Long Term Evolution (LTE) Networks. A realistic multi-cell LTE network was set up using NS3 simulation software. Mobility models were used to vary the location of the User Equipment (UE), hence triggering handover events across the network. The performance was measured using Signal Interference Noise Ratio (SINR) and number of completed handovers. Result revealed that at a speed between the ranges of 0 – 3 km/h, the Integrative algorithm performed best while at 4 – 60km/h, the performance of the A3RSRP algorithm was the best with an average value of 95dB. Also, at an increased speed within the range of 60 – 120 km/h, the Integrative algorithm had a slightly better performance than the A3RSRP. However, at a speed above 120 km/h, the integrative algorithm performed best with an SINR of 120dB. In terms of completed handovers, the Integrative algorithm had the least number of completed handovers throughout the entire range of considered speeds. Thus, we establish that mobility speed has a significant effect on the performance of handover algorithms. Keywords: LTE handover, LTE UE Speed, Integrative Algorithm, Power Budget Algorithm
Tesl Pre-Service Teachersâ Tpack: A Review

The TPACK framework represents a significant role in fostering pedagogical improvement of education in the twenty- first century learning. The use of ICT in twenty first century classroom requires a level of knowledge and expertise of teachers in achieving the learning objectives. A systematic literature review about technology integration and TPACK of 20 journal articles, published between 2011 and 2018 were studied. The purpose of the review is to investigate the technology integration among pre-service teachers and also TPACK Framework among ESL/EFL in teacher education programs. Expected finding shall serve as an improvised integrated model that covers the gap and enhance the TPACK Curriculum framework. Based on the reviews, it provides a number of integral suggestions on for the betterment of TPACK Framework for pre– service teachers in teacher education programs and institutions.
Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products

Sparse gauge networks in Sub-Saharan Africa (SSA) limit our ability to identify changing precipitation extremes with in situ observations. Given the potential for satellite and satellite-gauge precipitation products to help, we investigate how daily gridded gauge and satellite products compare for seven core climate change precipitation indices. According to a new gauge-only product, the Rainfall Estimates on a Gridded Network (REGEN), there were notable changes in SSA precipitation characteristics between 1950 and 2013 in well-gauged areas. We examine these trends and how these vary for wet, intermediate, and dry areas. For a 31 year period of overlap, we compare REGEN data, other gridded products and three satellite products. Then for 1998–2013, we compare a set of 12 satellite products. Finally, we compare spatial patterns of 1983–2013 trends across all of SSA. Robust 1950–2013 trends indicate that in well-gauged areas extreme events became wetter, particularly in wet areas. Annual totals decreased due to fewer rain days. Between 1983 and 2013 there were positive trends in average precipitation intensity and annual maximum 1 d totals. These trends only represent 15% of SSA, however, and only one tenth of the main wet areas. Unfortunately, gauge and satellite products do not provide consensus for wet area trends. A promising result for identifying regional changes is that numerous satellite products do well at interannual variations in precipitation totals and number of rain days, even as well as some gauge-only products. Products are less accurate for dry spell length and average intensity and least accurate for annual maximum 1 d totals. Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (3B42-V7) and Climate Hazards center Infrared Precipitation with Stations (CHIRPS v2.0) ranked highest for multiple indices. Several products have seemingly unrealistic trends outside of the well-gauged areas that may be due to influence of non-stationary systematic biases. Social media abstract. Sparse data show increasing Africa rainfall extremes and satellite products fill some missing pieces.
Distributed Stabilization of Nonlinear Multi-Agent Systems

The study of multi-agent systems (MASs) is focused on systems in which many autonomous agents interact and operate within a limited communication environment. The general goal of the MAS research is to design interconnection control laws such that all the dynamic agents in the group are synchronized to a desired common trajectory by exchanging information with adjacent agents over certain constrained communication networks. Based on the review and modification of existing results concerning the consensus control of linear heterogeneous MASs in Moreau (2004) [21], Scardovi and Sepulchre (2009) [25], Wieland et al (2011) [30], and Alvergue et al. (2013) [1], this thesis investigates the distributed stabilization of the heterogeneous MAS, consisting of N different continuous-time nonlinear dynamic systems, under connected communication graphs. The conditions for a nonlinear dynamic agent to be feedback equivalent to a strictly passive system are derived along with the feedback law. A distributed stabilization control protocol using state feedback is then proposed under the idea of feedback connection of two passive systems. It proves to be sufficient for only one or a few agents to have access to the reference signal for the MAS to achieve stability, which lowers the communication overhead from the reference to different agents. The result can be interpreted as an extension of the stabilizing law for linear MASs introduced in [1], and considered as a fundamental preliminary for the consensus research for nonlinear MASs in the future.
Gait Estimation and Analysis from Noisy Observations

People’s walking style – their gait – can be an indicator of their health as it is affected by pain, illness, weakness, and aging. Gait analysis aims to detect gait variations. It is usually performed by an experienced observer with the help of different devices, such as cameras, sensors, and/or force plates. Frequent gait analysis, to observe changes over time, is costly and impractical. This paper initiates an inexpensive gait analysis based on recorded video. Our methodology first discusses estimating gait movements from predicted 2D joint locations that represent selected body parts from videos. Then, using a long-short-term memory (LSTM) regression model to predict 3D (Vicon) data, which was recorded simultaneously with the videos as ground truth. Feet movements estimated from video are highly correlated with the Vicon data, enabling gait analysis by measuring selected spatial gait parameters (step and cadence length, and walk base) from estimated movements. Using inexpensive and reliable cameras to record, estimate and analyse a person’s gait can be helpful; early detection of its changes facilitates early intervention.
‘The Politics of Experience’: Young Refugees, the Dialogical Self& Therapeutic Social Work, Within a Psycho-Analytic Agency Context

This study is set in a psychoanalytic mental health outpatient agency and focuses on five adolescent refugees who were part of a specialist service. From a social work perspective it seemed the young people were subject to two contradictory dominant discourses – the hostile socio-political discourse of the “unwanted invader”, whilst inside the agency, the static, essentialised identity allied to the dominant discourse of trauma. The young people were clearly not a homogenous group, despite all seeking asylum. The agency discourse was seen to play a prominent role in framing the young person’s needs, shaping their identity and legitimating the role of the agency and their activities. Its trauma-focussed understanding of these young people on the meso-level, reflected a distinct and parallel process occurring on the macro-level outside the agency. Both discourses served to restrict the possibilities for other identities and stories being shared, whilst providing ‘certainties’ and ‘security’ in the presence of the other. Adopting a multi-level, trans-theoretical approach acknowledged that the reliance on a specific knowledge base, had the potential to create bias and failed to consider environmental factors and the inherent personal resources of each of the young people. Adopting narrative ethnography and dialogical narrative analysis, recognised the stories the young people shared during our ‘encounters’ were likely to be multi-vocal and ‘drenched’ in social factors. Through ‘open dialogue,’ meaning was created together, which had the potential to empower and invite new voices and identities to emerge. The findings conclude that the young people were ‘purposive actors’, whose stories often expressed the pain and suffering of past events, and the oppressive influence of the macro, but also their considerable efforts to negotiate ascribed identities and develop, ‘sameness’ with the dominant host, thereby creating new identities, in their ‘struggle of becoming’.
Communication-constrained feedback stability and Multi-agent System consensusability in Networked Control Systems

With the advances in wireless communication, the topic of Networked Control Systems (NCSs) has become an interesting research subject. Moreover, the advantages they offer convinced companies to implement and use data networks for remote industrial control and process automation. Data networks prove to be very efficient for controlling distributed systems, which would otherwise require complex wiring connections on large or inaccessible areas. In addition, they are easier to maintain and more cost efficient. Unfortunately, stability and performance control is always going to be affected by network and communication issues, such as band-limited channels, quantization errors, sampling, delays, packet dropouts or system architecture. The first part of his research aims to study the effects of both input and output quantization on an NCS. Both input and output quantization errors are going to be modeled as sector bounded multiplicative uncertainties, the main goal being the minimization of the quantization density, while maintaining feedback stability. Modeling quantization errors as uncertainties allows for robust optimal control strategies to be applied in order to study the accepted uncertainty levels, which are directly related to the quantization levels. A new feedback law is proposed that will improve closed-loop system stability by increasing the upper bound of allowed uncertainty, and thus allowing the use of a coarser quantizer. Another aspect of NCS deals with coordination of the independent agents within a Multi-agent System (MAS). This research addresses the consensus problem for a set of discrete-time agents communicating through a network with directed information flow. It examines the combined effect of agent dynamics and network topology on agents’ consensusability. Given a particular consensus protocol, a sufficient condition is given for agents to be consensusable. This condition requires the eigenvalues of the digraph modeling the network topology to be outer bounded by a fan-shaped area determined by the Mahler measure of the agents’ dynamics matrix.