Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating the Illusion of Sportiness: Evaluating Modified Throttle Mapping and Artificial Engine Sound for Electric Vehicles

Modern computerized vehicles offer the possibility of changing vehicle parameters with the aim of creating a novel driving experience, such as an increased feeling of sportiness. For example, electric vehicles can be designed to provide an artificial sound, and the throttle mapping can be adjusted to give drivers the illusion that they are driving a sports vehicle (i.e., without altering the vehicle’s performance envelope). However, a fundamental safety-related question is how drivers perceive and respond to vehicle parameter adjustments. As of today, human-subject research on throttle mapping is unavailable, whereas research on sound enhancement is mostly conducted in listening rooms, which provides no insight into how drivers respond to the auditory cues. This study investigated how perceived sportiness and driving behavior are affected by adjustments in vehicle sound and throttle mapping. Through a within-subject simulator-based experiment, we investigated (1) Modified Throttle Mapping (MTM), (2) Artificial Engine Sound (AES) via a virtually elevated rpm, and (3) MTM and AES combined, relative to (4) a Baseline condition and (5) a Sports car that offered increased engine power. Results showed that, compared to Baseline, AES and MTM-AES increased perceived sportiness and yielded a lower speed variability in curves. Furthermore, MTM and MTM-AES caused higher vehicle acceleration than Baseline during the first second of driving away from a standstill. Mean speed and comfort ratings were unaffected by MTM and AES. The highest sportiness ratings and fastest driving speeds were obtained for the Sports car. In conclusion, the sound enhancement not only increased the perception of sportiness but also improved drivers’ speed control performance, suggesting that sound is used by drivers as functional feedback. The fact that MTM did not affect the mean driving speed indicates that drivers adapted their “gain” to the new throttle mapping and were not susceptible to risk compensation.
Efficient S-parameter calculation of branchline and patch couplers with the spectral domain analysis method

A spectral domain analysis method is developed for the S-parameter calculation of branchline and patch couplers. To compare the results calculated by the spectral domain analysis using the new iterative method and S-parameter extraction technique, two multiport structures have been produced and measured: a closely coupled branchline coupler connected with coupled lines and mitered bends, and a patch coupler with the same geometry. The agreement of the measured and calculated results is good with respect to the whole frequency range considered. <<ETX>>
Effects of Instagram User-Generated Content on Travel Inspiration and Planning: An Extended Model of Technology Acceptance

Abstract Focusing on four types of user-generated content (UGC) on Instagram for travel planning, this study examined the impacts of UGC format, distribution channel, and engagement on travelers’ feelings of social presence, trustworthiness, and perceived enjoyment. These factors were then used to test an extended Technology Acceptance Model (TAM) on trip planning. Results showed response-to-marketer-action UGC hosted on official Instagram channel was an effective way to increase perceived enjoyment of travel-related UGC in a low engagement situation. Social presence, perceived trustworthiness, and perceived enjoyment were included as three external variables in an extended TAM for UGC-based travel planning. Compared to previous TAM studies, perceived ease of use and enjoyment, instead of perceived usefulness, were strong predictors of attitude and intention for UGC-based travel planning. Seeking fun with less effort is a main reason to process UGC information on Instagram for travel planning.
ESCALATION OF COMMITMENT AND CEO DEPARTURES: THEORY AND EVIDENCE

The escalation of commitment process involves a decision-maker continuing commitment to an investment after receiving negative information. This study develops a principal-agent model to explore how escalation decisions are linked with departures of CEOs from the position. With asymmetric information, a CEO has an incentive to conceal prior decision errors by escalating commitment to failing investments and leaving the firm before the outcome of investment decisions is disclosed publicly. Results of empirical analysis based on a sample of over 3,000 US firms are consistent with the theory and demonstrate that firms’ reporting of low financial performance relative to their industry as well as initiation of new discontinued operations are preceded, and not followed, by unplanned CEO departures.
Efficiency Improvement of Ground-Mounted Solar Power Generation in Agrivoltaic System by Cultivation of Bok Choy (Brassica rapa subsp. chinensis L.) Under the Panels

An agrivoltaic system is a combination of solar power generation and crop production that has the potential to increase the value of land. The system was carried out at a 25-kW photovoltaic (PV) power plant located at the Asian Development College for Community Economy and Technology (adiCET), Chiang Mai Rajabhat University, Thailand. The growth and yield of bok choy (Brassica rapa subsp. chinensis L.) and the solar power output were investigated and compared with the control. Moreover, the efficiency of the agrivoltaic system was evaluated. The results indicated that the average intensity of solar radiation of 569 W/m2 was obtained. The highest power generation was recorded in the PV with crop production of 2.28 kW. Furthermore, the control plot of crop production at 35 days provided higher growth than bok choy plots under solar panels of 2.1 cm in plant height, 6 in leaf number, 2.2 cm in leaf length and 0.2 cm in leaf wide. High-yield of bok choy was also obtained in the control plot of 17.31 kg. Although the yield of bok choy is extremely low, possibly because of light intensity, crop cultivation under solar panels could reduce the module temperature to less than the PV control of 0.18 °C, resulting in increased voltage and power generation by around 0.09 %. Therefore, an agrivoltaic system is another option for increasing revenue and land equivalent ratio in solar power plants focusing only on electricity generation. However, suitable crops for the space under PV panels should be investigated further.
A Study of Students’ Engagement on the Zoom-based Synchronous Online Teaching

The outbreak of the COVID-19 created a chaos of global health crisis and campus health. To avoid class suspended, the Wollongong College Hong Kong (UOWCHK) has shifted most classes to a Zoom-based synchronous online learning environment. It includes one of my taught modules named ‘Introduction to Programming’. However, there is a lot of problems specific to online learning having been discussed in diverse studies. It includes that learning comes to be ‘passive’, ‘isolated’ and ‘unengaged’. Along with these problems, a study was organized concerning whether students can mentally engage with the Zoom created new learning environment stably across all the learning topics of this module. This study used a rating scale and anchoring survey method to collect quantized qualitative data on students’ feelings with five bipolar mental specifications, ‘Boring–Stimulating’; ‘Did Not Learn Much-Learned Much’; ‘Not Engaged in Learning Process-Engaged in Learning Process’; ‘Not Much Work Done-Much Work Done’, and ‘Could not Experience Good Learning-Experienced Good Learning’. Students were asked to rank against these mental specifications in 1-7 bipolar points upon completion the teaching weeks of week-2, week-5, week-9, and week-12. The responses on this study were analysed with the one-way repeated measure ANVOA and mean analysis descriptive methods. The outcome of this research is inspiring. It shows that students could stable engage to all major learning topics with a positive engagement. This result significantly provide evidences that students in this module were not restricted by using the Zoom to learn, and also the use of synchronous online teaching could be a supplementary learning approach and provide a flexible approach for instructional design.
Nonlinear control of an electrohydraulic injection molding machine via iterative adaptive learning

Examines the control of an industrial injection molding machine (IMM) for both mold filling and mold packing. The machine is a Boy 50 Ton system operated by hydraulics with electronically controlled valves. A nonlinear model of the system is determined for the filling and packing stages, then verified against experimental data. The model includes several key aspects of the actual machine dynamics including stick-slip friction, time delays, nonlinear valve flow characteristics, and deadzones. A feedforward control input is determined via an iterative learning control scheme. This input is combined with either a feedback strategy or an open-loop strategy for the filling and packing control phases, respectively. The time delay, which exists in both stages, is accounted for by time shifting the learning feedforward signal relative to the feedback control signal. Simulation and experimental investigations indicate the benefits of the proposed strategy for control of electrohydraulic IMMs. Subsequent to demonstrating the benefits for fill-stage and pack-stage learning control, a complete cycle, including fill-to-pack transfer, is demonstrated.
16-channel optical add/drop multiplexer consisting of arrayed-waveguide gratings and double-gate switches

An optical add/drop multiplexer that enables full access to 16 individual wavelength channels has been fabricated on the planar lightwave circuit (PLC). The device consists of four arrayed-waveguide gratings which are connected through 16 double-gate thermo-optic switches. The crosstalk characteristics of the optical switches have been improved by adopting a double-gate configuration. The on-off crosstalks from main input or add port to main output or drop port are less than -28.4 dB and the on-chip insertion losses are 7.8-10.3 dB, respectively.
THE RELATION OF LONG-SUFFERING FOR HYPERTENSION AND FRAILTY WITH COGNITIVE FUNCTION STATUS IN ELDERLY AT PSTW BUDI MULIA 2 CENGKARENG

The increase in the elderly population in the world has resulted in an epidemiological transition in the health sector so that there can an increase in the number of morbidity due to degenerative diseases, namely cognitive function problems. Poor cognitive function status can influenced by one of the respondent's characteristic domains such as the length of history of hypertension and the domain of health risk factors such as frailty. This study aims to find the relationship between long-suffering from hypertension and frailty on cognitive function status in elderly patients at PSTW Budi Mulia 2 Cengkareng. The research design used is descriptive analytic with a cross-sectional approach. Collecting data using the questionnaire The Edmonton Frailty Scale (EFS) and the Short Portable Mental Status Questionnaire (SPMSQ) which have been test for validity and reliability. The sample consisted of 58 respondents who were take using purposive sampling technique. Data analysis used in this study is the Pearson correlation. This study shows that 81% of respondents are between 60-74 years old, female gender is 67.2%, primary school education level is 56.9%. Meanwhile, the length of the elderly suffering from hypertension ≤5 years was 65.5%, mild frailty was 67.2%, and moderate cognitive dysfunction was 36.2%. The results of the Pearson correlation statistical test showed that there was a relationship between the length of suffering from hypertension and the cognitive function status with a value of p = 0.004 and there was a relationship between frailty and the cognitive function status with a value of p = 0.001. Elderly advised to support health by controlling a low salt diet so that cognitive decline does not become chronic so that they do not develop dementia and control frailty by eating foods high in energy and protein so that they do not worsen cognitive function. Keywords: Frailty; Length of Suffering from Hypertension; Status of Cognitive Function
A novel fault diagnosis scheme for rolling bearing based on symbolic aggregate approximation and convolutional neural network with channel attention

Benefitting from the rapid development of artificial intelligence, the end-to-end fault diagnosis mode based on deep learning has become one of the most potential research directions. Nevertheless, regardless of the outstanding diagnostic accuracy, this kind of diagnostic procedure still faces the problems of high-dimensional data redundancy and subjective feature extraction. To overcome the above limitations, a novel fault diagnosis scheme for rolling bearings based on symbolic aggregate approximation (SAX) and a convolutional neural network with attention mechanism is developed in this work. In the developed diagnosis procedure, the raw data are first symbolized by the SAX approach, which can effectively reduce the dimensions of the data with relatively low subjectivity according to the characteristics of the original waveform. In addition, to enhance the feature abstraction ability of the model, channel-based attention is introduced into the deep architecture. The character strings generated by the SAX are fed into the attention mechanism-enhanced deep model to implement the training procedure, which significantly improves the diagnosis efficiency. The proposed method is tested on the common bearing fault data set of Western Reserve University, and the fault classification accuracy reaches 98.4%, with good fault diagnosis performance. The effectiveness of the proposed method is verified by comparing it with existing fault classification methods.
How we do things around here: practice architectures that enable learning in the in-between spaces of the workplace

ABSTRACT Those entering a new workplace often come with knowledge and skills relevant to the job they are employed to do; however, there will be site-based practices that they are unfamiliar with. Most of the learning about ‘how we do things around here’ occurs after a new role is commenced. This is certainly the case with novice Vocational Education and Training teachers. This paper considers what enables and constrains the learning of such new teachers. We use a particular form of practice theory, the theory of practice architectures, to focus on the arrangements that support the development of communicative learning spaces. At work, there are a range of spaces that are ‘in-between’ the personal and professional. We show how in-between spaces become communicative learning spaces where professional learning takes place. The development of communicative learning spaces is supported through arrangements that enable the intersection of the personal and professional, the sharing of stories, and the development of relational trust. The paper argues that while the fragile nature of in-between spaces means that formalising such arrangements can be counterproductive, approaches can be put in place to assist the development of communicative learning spaces.
“Where Should We Eat?”: How Health Consciousness Moderates the Influences Driving Intentions to Purchase Healthy Food

Abstract Unhealthy diet patterns are a global concern in both developed and developing countries thus making food consumers consider their health and food intake more. Along with increased health consciousness, other factors might encourage food shoppers to consume healthy food products at restaurants. The goal of this study is to develop a model helping justify components affecting food consumers’ attitudes and behavior of purchasing healthy food products at restaurants. Structural Equation Modeling (SEM) was used to analyze data from 500 participants. The results of the study show that personal beliefs and social norms are elements influencing consumers’ attitudes while restaurant image is an important factor affecting perceptions of food products. Consumers’ attitudes toward healthy food products and food prices also influenced the purchasing intentions resulting in their actual behavior of buying healthy food at restaurants. The additional significance of this study rests in showing that health consciousness moderates the effects of social norms on consumers’ attitudes.
Robust high-order iterative learning control approach for two-dimensional linear discrete time-varying Fornasini–Marchesini systems with iteration-dependent reference trajectory

This paper first investigates robust tracking problem of a high-order iterative learning control (HOILC) algorithm for two classes of two-dimensional linear discrete time-varying Fornasini–Marchesini systems (2-D LDTVFMS) and 2-D LDTVFMS with input delays with iteration-dependent reference trajectory described by a high-order internal model (HOIM) operator, boundary states and disturbances. An extended high-order linear discrete inequality is proposed to guarantee the ILC tracking error of 2-D LDTVFMS converge robustly to a bounded range, the bound of which is relied on iteration-dependent uncertainties from reference trajectory, boundary states and disturbances. A simulation example on a practical thermal process is used to validate the effectiveness and feasibility of the proposed HOILC law. Additionally, it is verified by theory analysis and simulation that no matter how the ILC controller gain is selected, the convergence condition in Theorem 2 of Wan and Li [(2021). High-order internal model based iterative learning control for 2-D linear FMMI systems with iteration-varying trajectory tracking. IEEE Transactions on Systems Man and Cybernetics: Systems, 51, 1462–1472] is not satisfied. Using the proposed HOILC law, perfect tracking result in Theorem 2 of Wan and Li (2021) can be obtained.
Fault detection in large-scale stochastic dynamic systems

A new approach is developed for fault detection in linear, stochastic, interconnected dynamic systems, based on designing a set of decentralised Kalman filters for the subsystems resulting from overlapping decomposition of the overall large-scale system. The malfunctioning sensors can be detected and isolated by comparing the estimated values of a single state from different Kalman filters. The new method is applied to a sixth-order system represented by a ladder network.
Developing a Comprehensive Decoding Instruction Observation Protocol for Special Education Teachers

Abstract This study describes the development of a special education teacher observation protocol detailing the elements of effective decoding instruction. The psychometric properties of the protocol were investigated through many-facet Rasch measurement (MFRM). Video observations of classroom decoding instruction from 20 special education teachers across three states were collected. Twelve external raters were trained to observe and evaluate instruction using the protocol and assigned scores of “implemented,” “partially implemented,” or “not implemented” for each of the items. Analyses showed that the item, teacher, lesson, and rater facets achieved high levels of reliability. Teacher performance was consistent with what is reported in the literature. Implications for practice are discussed.
Microflow-Enhanced Bubble Dynamics Along with Gradient Porous Surfaces

Boiling heat transfer has been a popular topic for decades because of its ability to remove a significant amount of thermal energy while maintaining a low wall superheat during the liquid phase change. Such boiling mechanisms can be tailored by engineering new boiling substrates through surface wettability modification and/or microscale feature installation. Here, we create new types of heterogeneous boiling surfaces that integrate vertical gradient micropores on macroscale fins by using a template-free electrodeposition method. The gradient morphology and corresponding gradient wettability simultaneously enable bubble nucleation on the top pores and capillary wicking through the bottom pores. With these unique wetting characteristics, we find that the gradient pores installed at the trench bottom demonstrate the most significant boiling enhancement in critical heat flux and heat transfer coefficients by 160% and 600%, respectively. This enhancement can be attributed to the microflow-enhanced nature of bubble departures around the fins while isolating bubble nucleation and liquid supply through gradient pores. These results provide fundamental insights into boiling mechanisms using porous media and the potential for future works that can optimize the design of multi-dimensional heterogeneous surfaces to engineer flow patterns and boiling mechanisms accordingly.
Granular fuel debris shape modeling in MPS-DEM for the simulation of fuel debris bed formation in water

ABSTRACT During the decommissioning of the Fukushima Daiichi Nuclear Power Station, it is vital to ensure that work stays safely under the subcriticality state in order to protect workers and the public from a criticality accident. To improve criticality evaluation accuracy, this study was performed to clarify whether the effect of fuel debris shape can be modeled by adjusting the friction coefficient in an MPS-DEM simulation of fuel debris behavior in water. The results showed it was possible to efficiently adjust the friction coefficients to model the shape effect in underwater conditions. Then, from the validation of the adjusted friction coefficients, we clarified that this method can be applied under conditions where the interaction between the fine grain fuel debris is dominant. On the other hand, further research is needed when this model is applied where water flow is dominant.
Employing Critical Reflection in an Online Emergency Services Course

Non-traditional students in an online introductory course in Homeland Security used the DEAL model of critical reflection to describe (a) what they learned, (b) how they learned it, (c) why it matters, and (d) what they will do with what they learned. Online discussion of readings proved to be the most effective learning technique used in the course because it incorporated reflective practices and allowed application of real-life experiences. Van Manen (1990) argued that the prescribed method for human science, in contrast to natural science involved description, interpretations, and self-reflective or critical analysis. In other words, we explain nature, but we must understand human life. This assertion seems to suggest learning strategies that expand beyond traditional pedagogies. One such strategy is critical reflection. This article describes the use of critical reflection in an online emergency services course. Emergency management and homeland security degree programs are relatively new. While most courses are taught using traditional delivery methods in the faceto-face classroom, many programs are reaching non-traditional emergency services students by other means, including online asynchronous courses. Much can be contributed to the field by exploring the principles of applied learning, particularly as they relate to online delivery. Critical reflection has been used successfully to encourage students to apply course concepts to present and future life experiences. Critical reflection aids in the development of higher-order thing and critical thinking skills (Ash & Clayton, 2009; Brooks, Harris & Clayton, 2010). The purpose of this article is to contribute to the educative models used for the development of practitioners in the emergency management and homeland security disciplines and to report findings from analyzing student reflective responses written while attending a university Introduction to Homeland Security course. Much can be gained by exploring and using new pedagogies and methodologies in combination with traditional approaches. In establishing a framing for analysis, the paper examines adult learning assumptions, theories of learning, reflective practice, and the relationship of theory to practice.