Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristic Parameters Identification of Macro Traffic Flow on Urban Expressway

The macroscopic traffic flow parameters characteristic is an important research content in traffic flow theory. Urban expressway plays an important role in the urban road network. It is gradually shifting from large-scale infrastructure-oriented to refinement of traffic management. With the growing of traffic demand and much more traffic congestion and accidents, integrated active traffic management should be involved in urban expressway management on the back ground of car-road coordination. As the backbone road network, traffic flow characteristic parameters have great value for the control and management of urban expressway. Then the characteristic variables of the expressway traffic flow were identified which support meticulous management for urban expressway.
Hypo-trimethylation of Histone H3 Lysine 4 and Hyper-tri/dimethylation of Histone H3 Lysine 27 as Epigenetic Markers of Poor Prognosis in Patients with Primary Central Nervous System Lymphoma

Purpose This study aimed to investigate the methylation status of major histone modification sites in primary central nervous system lymphoma (PCNSL) samples and examine their prognostic roles in patients with PCNSL. Materials and Methods Between 2007 and 2020, 87 patients were histopathologically diagnosed with PCNSL. We performed immunohistochemical staining of the formalin-fixed paraffin-embedded samples of PCNSL for major histone modification sites, such as H3K4, H3K9, H3K27, H3K14, and H3K36. After detection of meaningful methylation sites, we examined histone modification enzymes that induce methylation or demethylation at each site using immunohistochemical staining. The meaningful immunoreactivity was validated by western blotting using fresh tissue of PCNSL. Results More frequent recurrences were found in hypomethylation of H3K4me3 (p=0.004) and hypermethylation of H3K27me2 (p < 0.001) and H3K27me3 (p=0.002). These factors were also statistically related to short PFS and overall survival in the univariate and multivariate analyses. Next, histone modification enzymes inducing the demethylation of H3K4 (lysine-specific demethylase-1/2 and Jumonji AT-rich interactive domain [JARID] 1A-D]) and methylation of H3K27 (enhancer of zeste homolog [EZH]-1/2) were immunohistochemically stained. Among them, the immunoreactivity of JARID1A inversely associated with the methylation status of H3K4me3 (R2=−1.431), and immunoreactivity of EZH2 was directly associated with the methylation status of H3K27me2 (R2=0.667) and H3K27me3 (R2=0.604). These results were validated by western blotting in fresh PCNSL samples. Conclusion Our study suggests that hypomethylation of H3K4me3 and hypermethylation of H3K27me2 and H3K27me3 could be associated with poor outcomes in patients with PCNSL and that these relationships are modified by JARID1A and EZH2.
Background-aware colourisation technique for Augmented Reality applications

A major challenge in the field of augmented reality (AR) is the way in which augmented information is presented in a wide range of uncontrollable environmental conditions. In fact, the variability of colours and illumination conditions of the real environment makes it difficult to choose the most suitable appearance properties for augmented contents. In many AR applications, the colours of virtual objects play a crucial role in blending digital information into the real environment, therefore these colours should be selected according to the appearance of the real background. In some use cases, the colours of virtual objects need to be harmonised with the ones of the real environment; in other cases, the colours should be chosen to ensure the visibility (e.g. maximizing the contrast) of the augmented data with respect to the background. To this end, the paper presents a background-aware colourisation technique to automatically select colours of virtual objects by using three different strategies according to the use case scenarios. In particular, the strategies automatically change the colours of augmented objects in an AR scenario by taking into consideration the colours of the real background. The proposed AR colourisation technique was assessed with a user study that focused on three different case studies. Interesting results were also obtained, showing the potential of the proposed technique.
Antenna applications of negative-refractive-index transmission-line structures

A number of new antenna-related applications that have recently been developed at the University of Toronto based on the concept of negative-refractive-index transmission-line metamaterials are reviewed. These include non-radiating phase-shifting lines that can produce either a positive or a negative phase-shift while exhibiting a broadband linear phase response, as well as compact and broadband series power dividers and associated planar series-fed printed dipole arrays with reduced beam-squinting. Moreover, a fully printed electrically small ring antenna featuring vertical polarisation and good radiation efficiency is also described.
Academic Expectations of Stress Inventory: A Psychometric Evaluation of Validity and Reliability of the Persian Version

This study aims to evaluate the psychometric properties of the Academic Expectations of Stress Inventory (AESI) in terms of validity and reliability measurements among Persian students. A total sample of 620 high-school students (nfemale = 328, nmale = 292) was recruited to complete scales on academic expectations of stress, self-efficacy, and depression. The AESI was translated from English to Persian and its translation was further checked by three experts. We used a cross-sectional research design to collect data. The results approved the internal consistency, test–retest reliability, convergent, and construct validity of the ASEI. Additionally, confirmatory factor analysis confirmed the two-factor structure of the AESI, including the expectation of self and the expectations of parents/teachers. AESI was related to depression and self-efficacy in an empirically and theoretically expected direction. Moreover, configural and metric invariance were supported by gifted vs. non-gifted groups, but not scalar. No invariance was supported by gender groups. In conclusion, the psychometric properties of the Persian version of the AESI were confirmed to be used for educational, clinical, and research purposes in Iran.
Automatic Generation of Dance and Facial Expressions Linked to Music using HMM

In this paper, we propose automatic generation of dance and facial expression using Hidden Markov Model. In the proposed system, first, the acoustic feature for each analysis interval whose length is one bar is extracted from the music given by an user. As acoustic features, Mel-Frequency Cepstrum Coefficients (MFCC) are used. Similar phrases are often repeated in music, and similar dance and expression actions are often assigned to similar phrases. Even in the proposed system, similar dance actions and facial expression actions are assigned to sections where the acoustic features are similar. The dance motion that is the basic form when generating similar dance motions is called a dance vocabulary, and the expression motion that is the basic form when generating similar facial motions is called an expression vocabulary. In the proposed system, the dance motion and the facial expression motion for each analysis interval are classified using the K-means ++ method, and the vocabulary is associated with the classified class labels. Next, a Hidden Markov Model is used to determine a sequence of dance vocabulary from the correspondence between the acoustic feature and the dance vocabulary. Finally, it determines by randomly selecting the corresponding motion for the determined dance vocabulary and facial expression vocabulary, and interpolates, combines and outputs the motion during the analysis interval. Computer experiments were conducted to confirm that automatic generation of dance and facial expression can be performed in the proposed system.
Security and privacy consideration for the deployment of electronic health records: a qualitative study covering Greece and Oman

ABSTRACT The deployment of an Electronic Health Record (EHR) introduced multiple and obvious benefits. Nevertheless, it also introduced various issues and challenges. Among others, these include considerations regarding the levels of system access, provisions for security and authorization protocols, provisions for backup and recovery mechanisms, and the training of IT staff and their appreciation of the system. The study focused on these areas, and introduced a number of related concepts and observations, based on the opinions of a sample population of EHR system stakeholders across Greece and Oman. The study adopted a qualitative methodology, utilizing field work and visits to the natural settings of medical units in the two countries, where a total of 40 professionals were interviewed. The results indicate that the views of professionals are largely divided in terms of patient access to their personal records. It was also observed that the access of third parties to such records should be both restricted and recorded. In terms of the security level, the ICTs training and the backup and recovery mechanism in place, professionals were generally satisfied, with the majority of the interviewees also confirming that an authorization scheme should be followed in order to access the EHR.
Decentralized Feedback Control of Smart Lighting Systems

This paper presents a framework for designing controllers for self-commissioning smart lighting systems with plug-and-play capability. A class of decentralized feedback control methods is proposed for this purpose. Theoretical results for stability and convergence of the proposed algorithms are presented. Further, an automated self-commissioning algorithm is designed to minimize re-identification efforts necessary for the decentralized controller in case of a change in the lighting configuration (e.g. the addition of a new fixture to an existing space). The implementation of this algorithm demonstrates significant reduction in the commissioning effort. Finally, centralized, decentralized and consensus-based control algorithms are implemented on an experimental adaptive lighting testbed. The performance of the decentralized methods is shown to be comparable to that of the centralized controller.Copyright © 2013 by ASME
Effect of Rake Angle on Surface Roughness in CNC Turning

The work and study presented in this paper aims to investigate the effect of rake angle on surface roughness in CNC turning of Aluminium (6061) with keeping other machining parameters such as cutting speed, feed rate and depth of cut as constant. Three positive rake angled tools selected to study and analyze the effect of cutting conditions on surface roughness. Design of experiments were conducted for the analysis of the influence of the turning parameters on the surface roughness by using Taguchi design and then followed by optimization of the results using Analysis of Variance to find minimum surface roughness. It was observed that the surface roughness decreases with increase in rake angle.
Three-Dimensional Representation of Urban Built Form in a GIS

The Smallworld GIS has been customised to create a means of representing the three-dimensional forms of buildings. To do this, buildings are broken down into “floor polygons”, among whose attributes are floor level and storey height. Data for nondomestic buildings at 3350 addresses in four English towns have been entered into Smallworld, and measurements made of floor areas, roof areas, and exposed wall areas. Floor polygons may be reaggregated into premises, built forms, or by other attributes. Several applications in energy analysis and urban planning are described.
Real-time system diagnosis with sensors of uncertain quality

This paper presents a real time approach to the detection and isolation of component failures in largescale systems. The algorithm is given a set of observed test results from multiple sensors, and its main task is to deal with sensor errors (i.e., noise). The probabilities of these missed detections and false alarms are not known a-priori, and must be estimated - ideally along with the accuracies of these estimates - online, within the inference engine. Further, recognizing a practical concern in most real systems, a sparsely instantiated observation vector must not be a problem. The key ingredients to the approach include the Multiple Hypothesis Tracking (MHT) philosophy to complexity management, and a Beta prior distribution on the sensor errors. We provide results illustrating performance in terms of both computational needs and error rate, and show its application both as a filter (i.e., used to "clean" sensor reports) and as a standalone state estimator.
Reserch on the Coherent Phase Noise of Millimeter-Wave Doppler Radar

The phase noise is a very important index to wireless system, especially in millimeter-wave continuous wave radar systems. The phase noise of the signal, which is firstly leaked from transmitter and then mixed to intermediate frequency band by the local oscillator (Tx-IF), will worsen the sensitivity of superheterodyne radar system used for Doppler velocity detection. In this paper, the coherent analysis is applied on the phase noise after nonlinear process, which shows that the phase noise of the Tx-IF is affected by those factors: the magnitude of the phase noise of the transmitter and that of the local oscillator, and the correlationship between each other. In practice, by reducing the phase noise of the transmitter and that of the local oscillator and ameliorating the correlationship of the two phase noises, the phase noise of the Tx-IF can be improved greatly. Such proposition is successfully applied in the design of a millimeter-wave Doppler radar working at 95 GHz. The experimental measurement shows that the sensitivity of this radar is better than −70 dBm.
Temperature control of a pilot plant reactor system using a genetic algorithm model based control approach

The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance. Copyright © 2007 Curtin University of Technology and John Wiley & Sons, Ltd.
Competencies of Educational Supervisors as a Support System to Improve Student Well-being Based Educational Program

The well-being of students has become one of the main concerns in the Indonesian educational system nowadays. In order to apply such kind of concept in an educational program at schools, the role of an educational supervisor is critical as the supervisor performs as a facilitator as well as a controller of the program. This study investigates the competencies required by educational supervisors, especially concerning the government’s efforts to apply the concept of students’ well-being in an educational program. Since the program focuses on a particular concept, certain competencies may be needed differently from the existing educational policy. FGDs and in-depth interviews were used to analyze the influence of in-group interaction of participants in answering some questions during the discussion. These interviews were conducted with 24 educational supervisors from several cities in West Java. Thematic analysis was used to analyze the data. The study identified advanced thinking, working attitudes, social skills, and managerial abilities as four main competencies, followed by 11 sub-categories that are considered important for educational supervisors to be acquired in order to support the students' well-being program. The results also highlighted that out of these four competencies, social skills are perceived as the most primary competency needed for educational supervisors, as they are agents who have to perform plentiful interactions with many parties for the implementation of the program. The primary competence needed for educational supervisors is social skills.
Sustained Stress Reduces the Age Advantages in Emotional Experience of Older Adults: Commentary on Carstensen et al. (2020)

Older age is characterized by more positive and less negative emotional experience. Recent work by Carstensen et al. (2020) demonstrated that the age advantages in emotional experience have persisted during the COVID-19 pandemic. In two studies, we replicated and extended this work. In Study 1, we conducted a large-scale test of the robustness of Carstensen and colleagues’ findings using data from 23,350 participants in 63 countries. Our results confirm that age advantages in emotions have persisted during the COVID-19 pandemic. In Study 2, we directly compared the age advantages before and during the COVID-19 pandemic in a within-participants study (N = 4,370). We found that the age advantages in emotions decreased during the pandemic. These findings are consistent with theoretical proposals that the age advantages reflect older adults’ ability to avoid situations that are likely to cause negative emotions, which is challenging under conditions of sustained unavoidable stress.
D2ER: Distributed Energy Efficient Routing in Wireless Sensor Networks with Unreliable Links *

Wireless Sensor Networks (WSNs) are subject to node failures because of limited energy and link unreliability which makes the design of routing protocols in such networks a challenging task. The multipath routing scheme is an optimal alternative to address this problem which splits the traffic across multiple paths instead of routing all the traffic along a single path. However, using more paths introduces more contentions which degrade energy efficiency. The problem becomes even more difficult in the scenario of multiple source-destination pairs since the flow distribution of each link is uncertain. Our goal is to minimize the energy cost and provide the robust transmission by choosing the optimal paths. We propose a Distributed Energy Efficient Routing protocol (D2ER) to achieve this goal. In D2ER, we first study the problem from a theoretical standpoint by mapping it to the multi-commodity network design problem. Then, we employ the transportation method to solve this problem since it is hard to build a global addressing scheme due to the great number of sensor nodes. Simulation results demonstrate that our optimal algorithm can save energy drastically. Index Terms - Energy efficient; wireless sensor networks; routing
A survey on students design decisions in Design and Craft education in Icelandic schools

The research project was carried out in the Icelandic elementary school, in 2009–10. It explored the role of teachers and their understanding for the importance of students’ autonomy in decision-making when they are at age 12–14. The project examined the congruity between decision-making opportunities included in national curricula and how teachers understand the relationship between such curricula and practice. Data was collected through semi-structured interviews with teachers in Icelandic elementary schools and from the researchers’ reviews of the national curricula. Findings were compared and conclusions drawn. This study articulates teachers understanding of their practice. The article considers some possible improvements to practice in design decision-making within the Icelandic Design and Craft education. Keywords: method, sloyd, design and craft, interviews, phenomenographyURN:NBN:no-29963
Faculty of Information and Communication Technology

UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users with events priority. This newer system intend be more user friendly by providing organized management. The improved version is also designed to have the capability of sending Short Message Service (SMS) among UTeM’s staff to notify them of future events. Some researches about another existing Event Alert Sytem are carried to provide more understanding to the system to be developed. UTeM-EAS then is created by exploiting one of AI approach namely Genetic Algorithm (GA) with Crossover Technique. There are four main interfaces that ask for login information, add, edit and view events details. As for the development environment, UTeM-EAS is developed and to run in windows XP with support of Adobe Dreamweaver and MS SQL Server. Ozeki Messager 6 are installed and configured for this system to operate with its SMS function. The functionality, usability and security testing are conducted between UTeM’s staffs and administrators itself to measure the performance and user acceptance of the proposed system. Aside from achieving its development objectives, UTeM-EAS also gain great satisfactions from most of its tested users. The system could be more efficient if password encryption is applied and the system is able to reply the message sent by UTeM’s staff asking for further events details.
A generalized analysis for grid oscillator design

A full-wave analysis of infinite periodic grid structures loaded with active devices is presented. The grid consists of arbitrary periodic metal patterns printed on one or both sides of a dielectric slab in free space. Since the structure is periodic, under equi-phase conditions it is sufficient to analyze a single unit cell. An expression is derived relating the radiated electric field to the surface current density on the metal, which is determined by the method of moments. The driving-point impedances are found for any active devices embedded in the grid structure. Using this analysis, the metal geometry can be optimized for designing active quasi-optical power-combining grids for the microwave and millimeter-wave regions. >
Backup radio site identification in air traffic control systems

The identification of backup radio sites, to increase the availability of the future air/ground (A/G) air traffic control (ATC) systems, is investigated, When there is an A/G communications failure, due to a radio site or an ATC controller access failure, another site (or sites) provides the service. The backup site should be capable of providing full coverage of the desired airspace known as the service volume. Meeting the full coverage conditions by one site or a group of sites is analyzed. It is concluded that identification of one site providing full coverage can be determined easily. The identification of a group of sites, each with partial coverage and providing full coverage is analyzed in detail. An algorithm involving both analytical and numerical approaches is described. It determines if two radio sites with given geographical coordinates, and each with partial coverage of a given cylindrical service volume, can provide full coverage. This algorithm can be implemented as a computer program to process a database of radio sites.