Miracle-dz/UniFAR-FTUs huggingface dataset:
Perbandingan Kinerja Jaringan Internet Kampus Berdasarkan Karakteristik Trafik Self-Similarity

Internet traffic measurements performed at four locations on the campus of the University of Surabaya the Faculty of Engineering, Faculty of Business and Economics, Library and campus Ubaya Ngagel. Daily Internet traffic measurement period was conducted between the hours of 03:00 am until 23:59 pm with an average sample every 5 minutes. Internet network performance in this study were analyzed based on the characteristics of traffic self-similarity. Characteristics of Self-Similarity is expressed in the Hurst parameter (H) with a value of H  (½, 1), where getting close to H = 1 then the worse the performance of its network. While the value of H parameter can be obtained using FARIMA (p, d, q) model whose relationship can be expressed H = d + ½, d is the order of FARIMA model. From the calculation and analysis of daily Internet traffic obtained that contained the smallest value of H parameter on the location of the Library. It can be concluded that the best network performance between the three other locations on campus are at the Library.
Perceived Level of Late Reverberation in Speech and Music

This paper presents experimental investigations on the perceived level of running reverberation in various types of monophonic audio signals. The design and results of three listening tests are discussed. The tests focus on the influence of the input material, the direct-to-reverberation ratio (mixing level), and the reverberation time using artificially generated impulse responses for simulating the late reverberation. Furthermore, a comparison between mono and stereo reverberation is conducted. It can be observed that with equal mixing levels, the input material and the shape of the reverberation tail have a prominent effect on the perceived level. The results suggest that mono and stereo reverberation with identical reverberation times and mixing ratios are perceived as having equal level regardless of the material.
Engineering design of a compact RFP reactor (CRFPR)

The results of a previously-reported comprehensive parametric systems analysis of the Reversed-Field Pinch (RFP) give strong indications for minimum-cost systems that would operate with resistive water-cooled copper coils and higher first-wall neutron current (15 to 20 MW/m/sup 2/). These minimum-cost, compact RFP reactors (CRFPRs) have system power densities that can be comparable with fission power plants and, therefore, are 10 to 30 times smaller than most superconducting approaches. Reported herein are initial results of a conceptual engineering design of key fusion-power-core (FPC) subsystems.
IDENTIFICATION OF UNSAFE DRIVING ACTIONS AND RELATED COUNTERMEASURES

An analysis was made of accident data from a three-county area in North Carolina to identify a set of unsafe driving actions (UDA's) and determine their relative frequencies in accidents. Through field observations at accident locations, frequencies of occurrence were estimated and subsequently used to calculate relative risk factors for a selected group of UDA's (speeding, following too closely, driving left of center, running a traffic control, turning in front of oncoming traffic, and pulling in front of oncoming traffic). The frequencies of traffic citations were estimated for comparison with accident frequency and relative risks to determine any differences in accident causation and police enforcement priorities.
Détection et Emission Terahertz par les ondes de plasma dans des transistors HEMT à base d'hétérostructures GAN/AlGaN et InGaAs/InAlAs

We report on detection of terahertz radiation by high electron mobility nanometer InGaAs/InAlAs transistors. The photovoltaic type of response was observed at the 1. 8–3. 1 THz frequency range, which is far above the cut-off frequency of the transistors. The experiments were performed in the temperature range from 10 to 80 K. The resonant response was observed and was found to be tunable by the gate voltage. The resonances were interpreted as plasma wave excitations in the gated two-dimensional electron gas. The minimum noise equivalent power was estimated, showing possible application of these transistors in sensing of terahertz radiation. Also, we report on the demonstration of room temperature, tuneable terahertz detection obtained by 50 nm gate length InGaAs/InAlAs High Electron Mobility Transistors (HEMT). We show that the physical mechanism of the detection is related to the plasma waves excited in the transistor channel and that the increasing of the drain current leads to the transformation of the broadband detection to the resonant and tuneable one. We also show that the cap layer regions significantly affect the plasma oscillation spectrum in HEMT by decreasing the resonant plasma frequencies. In addition we report on terahertz emission by two-dimensional electron plasma oscillations in nanometric transistors at room temperature. Previously, the THz emission was reported only at 4,2 K in a 60 nm InGaAs high electron mobility transistor. We observe the room temperature emission for transistors based on two types of heterostructures- InGaAs/InAlAs and AlGaN/GaN. For both types we obtain a well defined source drain voltage threshold for the integrated emission, which depends on the gate bias. For InGaAs/InAlAs, we observe only emission signal integrated over the total frequency range (0. 1 – 10 THz). High intensity of the Thz emission from GaN/AlGaN structures allowed analysing its spectral content. The emission is interpreted as resulting from a current driven plasma instability leading to oscillations in the transistor channel (Dyakonov–Shur instability)
Supervising higher degree research (HDR) candidates at a distance: What do emerging virtual world technologies have to offer?

New information and communication technologies provide opportunities and challenges for teachers. Emerging virtual world technologies, such as Second Life, are a current example of this. Early adopters and innovators are currently exploring what these technologies offer specific cohorts of students, such as the distance higher degree by research (HDR) candidate. This chapter explores the experiences of three educators and four HDR candidates using virtual worlds as part of the supervisory process. Each case study explores the potentials and pitfalls of the medium from the individual's perspective, and suggests solutions to overcoming some of the challenges. Subsequent thematic analysis of the case studies helps to support the field of literature on using virtual worlds in formal education. Demonstrating the potential merit of virtual worlds to support the HDR candidate, the chapter concludes with a range of possible research directions for this new and exciting field of study.
Analysis of factors affecting wireless communication systems in underground coal mines.

Since recent disasters in the mining industry in 2006 the push for a reliable communication system has became a high priority. This thesis will discuss each "wireless" communication system available and/or being developed for underground mines as well as the frequencies that will be used for each system's operation. The second part of the investigation will be on the factors affecting these frequencies as well as possible ways to model these factors analytically. It is important to understand these factors in order to make intelligent conclusions as to what communication systems will perform adequately in an underground mining environment. The third area discussed will be an analysis of empirical studies completed by various agencies, companies, and schools (including West Virginia University). These studies were completed to judge the practicality and performance of each system. Practicality is important to the mining industry. The industry tends not to accept new technology quickly, so proof of performance is a key component to introducing the products into the market.
A Responsive Schedule Management System for Large Homecare Organizations

The planning and scheduling process of large homecare organizations (LHO) must be responsive as LHO cannot afford postponement and cancellation of services. However, achieving such responsiveness (respond to schedule change requests without violating timing constraints) is a very complex task for such large organizations, due to their extensive geographical spread, fuzzy objectives and uncertain environment. In our research we developed a software architecture which will help LHO to achieve responsive scheduling process. We defined the architecture in four steps. As the first step we proposed to separate the schedule into independent sub schedules. As second step, we proposed scheduling system object model which is suitable for handling of low-level scheduling processes in distributed, multi-user environment. Thirdly, we proposed a centralized scheduling system which can handle shared resources and high level organizational policies. In order to protect the consistency of the centralized schedule, we proposed to use data locks. We propose to use Area (or Team) as atomic locking unit in order to ease the maintenance of the software and to have responsive scheduling process. As fourth and last step of the architecture, we propose to break long taking software tasks into subparts so that the other software tasks can also be processed without waiting too long in the queue.
From individual incentives to an organization-wide gainsharing plan: Effects on teamwork and product quality

Despite the widespread use of incentive systems in manufacturing organizations, few studies have used a standard, quasi-experimental research design to directly compare the effects of different plans on employee perceptions and work outcomes. In this study, multiple methods were used to assess changes at a company which ended an individually-oriented piecework plan and subsequently began a high-involvement gainsharing plan. This piecework-to-gainsharing transition involved (a) terminating individual incentives, (b) paying plant-wide bonuses for performance improvements, and (c) developing a highly structured ‘idea’ system which allowed employees limited participation in work decisions. Survey responses obtained two months before the transition and again 15 months later revealed improvements in perceptions of teamwork and concern for performance. Interrupted time series analysis of over four years of objective data showed a significant decrease in grievances and a significant increase in product quality occurring at the time of the intervention. Concerning the latter, defective products per 1000 shipped decreased from 20.93 under piecework to 2.31 under gainsharing. The results are discussed within the framework of Deutsch's (1949a) theory of cooperation and competition.
Jigsaw

This study aims to determine the learning activities of students and the results of learning economic economics by using the Jigsaw type cooperative learning model for students. This study is a Classroom Action Research (CAR). The subjects of this study were 34 students of class II-2 IIS-2 SMA SMA Palangka Raya. This data collection technique is observation and testing. Data analysis techniques use Qualitative and Quantitative. The results showed that the learning activities of students belonged to the good category and there was an increase in economic learning outcomes in students using the Jigsaw cooperative learning model in the Pre Test of 34 students who received a score of ≥78 reaching 8.82% ( 3 students) with an average value of 55, in the first cycle the results of the Post Test which obtained ≥78 reached 58.82% (20 students) with an average value of 73.08 and in the second cycle the results of the Post Test were scored ≥78 reached 100% (34 students) with an average score of 84.71.
Human Cognitive Perspective of Extended Use of Information Systems

Today, organizations invest billions of dollars in large information systems (IS) to improve their business processes. The objective of implementing and adopting the IS is no other than to increase business efficiency, productivity and facilitate business decision making in the business, thus strengthening their business competiveness. However, the purported benefits of implementing the IS are often lagging behind the expectation and its fullest of the potentials in term of investment. Evidence shows low and underutilization of functionality at the post-acceptance stage contributes to the underachievement of the IS. To address this issue the objective of this research is to investigate the effects of individuals’ cognitive perception toward extended use of IS. A questionnaire survey-based approach was adopted in this study where the data was analyzed using covariance-based structural equation model (SEM) method. The findings showed post-usage usefulness, self-efficacy and facilitating condition were positively related to users’ continued use as well as extended use of IS. Beside that users’ continued use is significantly related with users’ extended use of the system. The result showed users’ continued use was partially mediating the relationship between users’ cognitions and extended use behavior. But, subjective norm did not exert any influence over users’ continued use and extended use of IS. Finally, this study contributed to the knowledge of individual post-acceptance of IS by integrating the theory of planned behavior (TPB) with post-adoptive usage behaviors. For practice, this study provides insight into human cognitive perceptions that contribute to IS post-adoptive usage behaviors, thereby allows the management to utilize these outcomes to promote higher levels of IS usage by the users or employees in the organizations.
The influences of LuxX in Escherichia coli biofilm formation and improving teacher quality through the Bio-Bus Program

The objectives of this work are: 1) to agarose-stabilize fragile biofilms for quantitative structure analysis; 2) to understand the influences ofLuxS on biofilm formation; 3) to improve teacher quality by preparing Georgia's middle school science teachers to integrate inquiry-based, handson research modules in the classroom. Quantitative digital image analysis demonstrated the effectiveness of the agarose stabilization technique for generating reproducible measurements of three dimensional biofilm structure. The described method will also benefit researchers who transport their flow cell-cultivated biofilms to a core facility for imaging. AI-2-dependent and independent effects of LuxS on biofilm-related phenotypes were revealed, suggesting that LuxS is a versatile enzyme, possessing multiple functions in E. coli ecology that could assist E. coli in adapting to diverse conditions. Overall, the work presented in this dissertation supported the concept that quorum sensing, biofilm formation, and cell adhesion are largely related. Additionally, through this project, teachers enhanced content knowledge and confidence levels, mastered innovative teaching strategies and integrated inquiry-based, inter-disciplinary, hands-on activities in the classroom. As a result, student learning was enhanced, and teachers are better equipped to give Georgia's students a solid foundation in the sciences. INDEX WORDS: Biofilm, Escherichia coli, Quorum sensing, LuxS, Autoinducer-2, Microbial ecology THE INFLUENCES OF LUXS IN ESCHERICHIA COLIBIOFILM FORMATION AND IMPROVING TEACHER QUALITY THROUGH THE BIO-BUS PROGRAM
Analyzing Transition Dynamics: The Actor-Option Framework for Modelling Socio-Technical Systems

Transition can be characterized as long-term structural changes in the societal systems, through which the way these systems function change significantly. Both the scope and extent of change, and the nature of the societal systems make transition processes a complex dynamic phenomena to understand. This study explores both methodological and conceptual issues in order to contribute to the ways transitions are analyzed. On the methodological frontier, the book investigates different forms of simulation-supported analysis. On the conceptual frontier, the study focuses on structural and behavioral similarities among socio-technical systems in order to develop a general modelling framework that can serve as a conceptual basis for simulation-supported analyses. Additional to introducing the developed framework, i.e. the actor-option framework, the book also presents a set of modelling studies that are based on the actor-option framework. Besides two simulation-supported analyses on historical transitions in the British naval transportation and the Dutch waste management systems, the third modelling study focuses on plausible transition trajectories for the Dutch electricity supply system.
Medical Chatbot (Medibot)

In recent years, medical services are getting more open to a more extensive gathering of individuals with the help of innovation. The ideas of computerized reasoning, machine learning and neural organizations have given generous help with the field of medical services. In the present quick moving world, individuals will in general disregard their wellbeing which may result in a basic issue. Such an issue can be kept away from by utilizing the symptom-driven chatbot. Our project focuses on giving the clients accurate and precise prediction of the disease based on their symptom,The disease envisaging chatbot is created utilizing a Decision tree. For the forecast of sicknesses, we have utilized two arrangement calculations specifically, Decision tree and KNN (K-Nearest Neighbours). The presentation of these strategies are analyzed and dependent on their accuracy, the best model is chosen. According to our project, the accuracy of the Decision Tree and KNN are 95% and 92.5% respectively. Our medical chatbot also provides precautions and measures for the envisaged disease. Our medical chatbot also has a text-to-speech feature. ,for providing a human element to the conversation, rather than it being an automated conversation, which may feel mundane to the user.
Designing, constructing, and testing an X-ray polarimeter

X-ray astronomy has been an important field since its birth 50 years ago. However, X-ray polarization measurements have been almost non-existent, especially when compared to the amount of polarimetry being performed in the other bands of the spectrum. One method of filtering a specific energy of polarized X-rays involves reflecting these X-rays off of a correctly tuned multilayer mirror at a specific grazing angle. A design for a small spacecraft incorporating this type of instrument has been proposed, but the effectiveness of using multilayer mirrors as polarization filters has never been tested in a laboratory setting. A design for using an existing X-ray beamline as a means of testing this method was developed. The necessary modifications to both the source and detector end were made, but due to an inability to completely eliminate small misalignments in the system, the full tests of the multilayer mirrors could not be performed. Further research could be performed to identify and correct the cause of the misalignments and continue the evaluation of the multilayer mirrors as a polarimeter.
Scholarly Collaboration In Engineering Education: From Big-Data Scientometrics To User-Centered Software Design

Xian, Hanjun. Ph.D., Purdue University, December 2013. Scholarly collaboration in engineering education: From big-data scientometrics to user-centered software design. Major Professor: Krishna Madhavan. Engineering education research has grown into a flourishing community with an-ever increasing number of publications and scholars. However, recent studies show that a significant amount of engineering education knowledge retains a clear disciplinary orientation. If the gaps in scholarly collaboration continue to be prevalent within the entire community, it will become increasingly difficult to sustain community memory. This will eventually inhibit the propagation of innovations and slow the movement of research findings into practice. This dissertation studies scholarly collaboration in the engineering education research community. It provides a clear characterization of collaboration problems and proposes potential solutions. The dissertation is composed of four studies. First, the dissertation recognizes gaps in scholarly collaboration in the engineering education research community. To achieve this goal, a bibliometric analysis based on 24,172 academic articles was performed to describe the anatomy of collaboration patterns. Second, the dissertation reviews existing technologies that enhance communication and collaboration in engineering and science. This review elaborates and compares features in 12 popular social research network sites to examine how these features support scholarly
iRobot Create Used in Education

: There are many robotic platforms usable in the educational process. In the introduction, some of the educational platforms are presented. The main body of this paper deals with educational robotic platform iRobot Create. In this paper, main parts of this platform are described, such as mechanics, sensors and actuators. The software equipment with communication protocol of this platform is also described. The results of the analysis of this platform show its rich possibilities in its use in educational process such as mechanics, electronics and algorithms used in robotics
Pregnant women with gestational diabetes mellitus exhibit unique features in oral microbiome

Background: Gestational diabetes mellitus (GDM) leads to a series of adverse pregnancy outcomes, seriously endangering the health of mothers and infants. Oral glucose tolerance test (OGTT) is the gold standard test for GDM diagnosis, but largely increases the discomfort of pregnant women, and is inconvenient to follow-up and detection. Considering that oral sampling is convenient, rapid, safe and non-invasive, the feasibility of distinguishing GDM via biomarkers from oral microbiota was evaluated in this study. Here, the 16S rRNA gene sequencing was used to compare the microbiome of saliva and dental plaque samples of 111 pregnant women, and to analyze the structure of oral microbiota in patients with GDM as well as to find effective biomarkers. Results: The results showed that the microbiota of both types of oral samples in patients with GDM changed, and it was quite different from that of neither periodontitis nor dental caries. By using bacterial biomarkers from oral microbiota, GDM classification models based on SVM and random forest algorithms were constructed. For the SVM algorithm, the AUC value of the classification model constructed by the combination of dental plaque Lautropia , Neisseria and saliva Veillonella achieved 0.83. For the random forest algorithm, the maximum AUC value of the model constructed by the dental plaque Streptococcus , Eikenella , Anoxybacillus and saliva Leptotrichia , Kingella was larger than 0.90. Conclusions: These findings revealed that certain bacteria of either saliva or dental plaque can accurately distinguish GDM from healthy pregnant women, which provides a potential non-invasive approach for GDM diagnosis with oral microbial markers.
System Identification for Prediction of Glucose Levels in People with Type 1 Diabetes

In this thesis the possibility of predicting blood glucose levels in a type 1 diabetes patient, using ARX models has been explored. The Hovorka Model was used to simulate data from a type 1 diabetes patient. Using Matlab and the System Identification Toolbox, data generated by the Hovorka Model were utilized for identification and validation of single and double input ARX models. Results showed that identification data are of central importance to the qualities and versatility of the identified ARX models. As validation, the models were used to predict data from virtual scenarios and errors were evaluated through a Clarke Error Grid analysis. Single input models showed a significant lack of versatility, in many cases expressed by an alarming distribution of data points in the Clarke Error Grid, but several of the double input models gave promising results.