Miracle-dz/UniFAR-FTUs huggingface dataset:
A Teaching Model for a Five-week Electric Circuits Course for Engineering Students

In this paper we present a teaching model for the course of Electric Circuits for Engineering students of several programs, including Industrial Engineering, Computer Science, Mechanical Engineering, Robotics, Electronics and Mechatronics. In this teaching model two main Engineering competencies are developed: a) Fundamentals of Systems and Engineering Devices and b) Problem Solving in Engineering. The model is based on Flipped Learning and it is centered in the solution of a challenge that students have to solve during the five week period of the intense course. The project chosen for this course is the analysis and simulation of a light meter using a photovoltaic cell, diodes, resistors and some light emitting diodes (LED). The project can be changed every year so that new students get a new challenge. The system is analyzed in different phases, as the course advances, more components are added and the number of connections is increased, scaling the complexity of the system and therefore, the direct application of the theoretical topics seen in class. The real-life applications that students have to work during the course by solving the challenge, increase the motivation of a course that is usually considered a difficult course by students. Results show that the use of flipped classroom for some sessions and the solution of a real case scenario (challenge) help students to review and assimilate the concepts seen in these intense five weeks of the course with high levels of motivation. We present this work so that other universities, particularly those in developing nations, could include this type of challenge-based activities in the teaching of complex courses such as the Electric Circuits one.
Computer Corpus-based Study of Film and Television Translation

Chinese traditional cultural resources have been fully presented in film and television which have different characteristics in translation and culture. It is believed that film and television translation is an exaggerated form of artistic expression, and vividly shows invisible human emotions, lifestyles and cultural activities in a perceptual way. Corpus-based translation studies have made film and television translationin gratifying progress and become an important paradigm of cultural studies. Corpus translation inherits the mantle of descriptive translatology and draws on corpus linguistic methods. It also has the unique requirements of subtitle translation, which are instantaneity, popularity, cross-culture and listening. Corpus-based film and television text translation is a cross-modal translation activity.
“Hey, can we talk?”: Exploring How Revealing Implicit Emotional Responses Tangibly Could Foster Empathy During Mobile Texting

In face-to-face communication, people can often achieve empathy by understanding the explicit and implicit emotions shared through body-language, word usage, and tone. But in digital communication it becomes difficult to share or identify these (non)verbal cues, especially after ambiguous conversation starters such as “hey, can we talk? ” are sent. In this paper, we explore how a tangible artefact could enhance empathy in text-based communication by physically sharing implicit emotional feedback. We conducted two workshops to understand the emotions involved in ambiguous conversation starters and how they can be expressed through an artefact. These workshops resulted in a prototype of a phone case that sends the sender of a text message the initial implicit emotional reaction of the receiver using haptic patterns to inform the receiver how best to proceed. This paper concludes by discussing the nuances of designing for emotions in text-based communication as well as suggestions for future work.
Mobile-Based Active Learning can Enhance Engagement in Classroom

Educators in a large classroom environment often face difficulties in carrying out in-class activities in a synchronized manner and use multiple platforms or resources to conduct these activities. They suffer from lack of student engagement as a significant concern. ALT (Active Learning and Teaching Application) is a minimalistic mobile-based application that uses Active Learning strategies to promote student engagement in class through live short quizzes, minute papers, and feedback. In this paper, we conduct an experiment using ALT's in-class quizzes and feedback to statistically gauge how the application could improve a class's engagement and understanding levels and validate the same. Understanding and engagement levels were estimated based on the interaction and activities of students during lectures. These levels were quantified via calculated indexes. Motivated by previous literature, these indexes mainly depend on the response time, accuracy, number of times responses changed for in-class quizzes, delay in opening the quiz, etc. We present our statistical analysis, showing how the App can improve engagement and understanding levels. Results depict that students' higher understanding corresponds to better performance and activity parameters, but the relationship with engagement is far more complex. Our findings conclude that using ALT can effectively promote student engagement in a large classroom. Professors can also use these indexes to keep track of student engagement and evaluate different teaching methods.
Creative Molecular Model Design for Chemistry Edutainment

Since 3D molecular structure visualization is important for chemistry education, lots of successful works have been focused on molecular visualization. However, most of the existing research works consider the pre-defined types of chemical bonds and reassembling various kinds of bounds together to construct a 3D molecular structure using the standard ball-and-stick model. Although, this approach is good enough to visualize realistic molecular structures, it losses the generality to reveal the mechanism that how atoms are formed into a molecule from electrical explanations during the molecule design process. At the same time, no existing research works have explored how to generalize this visualization technique by introducing the entertainment elements in children’s chemistry education. Therefore, in this paper, we propose a novel approach to visualize molecular structure in 3D space by minimizing the electric field energy where the optimization steps yield a realistic explanation that how a molecular structure is formed in nature, helping the students understand more about the dynamic properties of molecules. In the meantime, we apply our technique to creative molecular model design for chemistry edutainment.
RMVS: Remote Monitoring of Vital Signs with mm-Wave Radar

Indoor vital signs monitoring is beneficial for people's healthy life. However, the monitoring distance limits most existing mm-wave radar-based vital signs monitoring methods. Enhancing and analyzing the echo signal helps to improve the monitoring distance. In this work, we propose remote monitoring of vital signs with the mm-wave radar (RMVS) method to achieve long-range vital signs monitoring of indoor personnel. RMVS fully uses multiple antennas to characterize the reflected signal from the chest cavity. By overlaying the signals, the dynamic signal of vital signs is enhanced, and the ambient static clutter is suppressed. RMVS constructs the mapping relationship between distance and micro-Doppler by overlaying the Doppler information at different distances. It solves the problem of low accuracy of thoracic localization in the Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) paths by the traditional radar respiratory heartbeat monitoring method. It uses a new vital sign data extraction method to accurately discriminate vital sign data by the amplitude contribution of each frequency band. Experiments show that RMVS has a respiration monitoring error of less than 1.52 Beat Per Minute (BPM) within 3m.
Robust Stabilization for a Class of Nonlinear Singularly Perturbed Systems

In this paper, the problem of disturbance attenuation with internal stability for a class of nonlinear singularly perturbed systems via nonlinear H∞ approach is studied. It is shown through a useful theorem that under appropriate assumptions, the problem of disturbance attenuation for the main system may be related to the problem of disturbance attenuation for the reduced-order system. This is carried out by a new approach in which we use the quasi-steady state of fast variables. Therefore, the problem of existence of a positive definite solution for the Hamilton–Jacobi–Isaacs (HJI) inequality related to the main system leads to the problem of existence of a solution of a simpler HJI inequality related to the reduced-order system.
SODA: Protecting Proprietary Information in On-Device Machine Learning Models

The growth of low-end hardware has led to a proliferation of ma-chine learning-based services in edge applications. These applications gather contextual information about users and provide some services, such as personalized offers, through a machine learning (ML) model. A growing practice has been to deploy such ML models on the user's device to reduce latency, maintain user privacy, and minimize continuous reliance on a centralized source. However, deploying ML models on the user's edge device can leak proprietary information about the service provider. In this work, we investigate on-device ML models that are used to provide mobile services and demonstrate how simple attacks can leak proprietary information of the service provider. We show that different adversaries can eas-ily exploit such models to maximize their profit and accomplish content theft. Motivated by the need to thwart such attacks, we present an end-to-end framework, SODA, for deploying and serving on edge devices while defending against adversarial usage. Our re-sults demonstrate that SODA can detect adversarial usage with 89% accuracy in less than 50 queries with minimal impact on service performance, latency, and storage.
ThermWare: Toward Side-Channel Defense for Tiny IoT Devices

As malware in IoT devices flourishes, defenses are lacking. Traditional antivirus or intrusion detection-based defense techniques fail for the limited computational capabilities and the large diversity of platforms and environments. In this paper, we present ThermWare, a non-intrusive screening method to detect anomalous operations on embedded devices at run-time. ThermWare relies on the observation that electronic circuits generate subtle patterns of heat at the component level when the corresponding module is accessed by the micro-operations (e.g., file-write) of the running code. We propose the use of these side-channel heat signatures captured by a thermal camera to determine the sequence of underlying computations in real time. An early implementation of ThermWare shows success in detecting common malware routines in general-purpose IoT devices. We envision leveraging the thermal side-channel to track the internal operations of an embedded device, which can potentially lead to broader applications in engineering embedded systems, monitoring device health and run-time capacity, assisting embedded coding optimization, and physical layer security analysis.
RampScope: Ramp-Level Localization of Shared Mobility Devices Using Sidewalk Ramps

Short-term rentals of shared mobility devices (SMDs) including bikes, e-bikes, and e-scooters are gaining significant popularity across different countries. These services equip their SMDs with GPS receivers which allows the riders the flexibility to park their SMDs anywhere, and the next user simply finds the nearest parked SMDs. However, GPS accuracy decreases significantly in urban areas and causes real-world problems (e.g., users and chargers not being able to locate the SMDs). To overcome this problem, we propose Ramp-Scope that utilizes physical characteristics of ramps on the sidewalks - which are prevalent in urban areas - to correct for GPS error. As the user rides over a sidewalk ramp, the SMD equipped with a gyroscope captures the motion signal to uniquely identify the ramp and localizes the SMD to the nearest driven ramp. As a proof-of-concept, we present a preliminary evaluation of RampScope with real-world experiments by driving three different SMD types over 800 m to demonstrate an average ramp prediction accuracy of 98.1%.
A Method for Controlling the Continuous Transparency of Three-dimensional Objects Utilizing Mechanical Emulsification

Physical interfaces that change appearance by controlling transparency have attracted attention for wide applicability. However, many existing methods are limited to planar objects, and it is difficult to control transparency in three-dimensional objects and to control transparency continuously. In this study, we propose a novel method to control the transparency of three-dimensional objects by utilizing the mechanical emulsification phenomenon of liquid. This approach is to fill the object with two transparent liquids that are liquid-liquid phase separated and agitate the liquids inside the object to make them cloudy and control their transparency. By using electrohydrodynamic (EHD) pumps, which can be freely positioned inside the object, to agitate the liquid, it is possible to control the transparency of complex three-dimensional objects. Continuous control is also achieved by changing the ratio of the two liquids. In this paper, we describe the details of proposed method for controlling the transparency and show application scenarios.
Towards a Design Space for Storytelling on the Fashion Technology Runway

Fashion is driven by a narrative, i.e. a story or idea that the designer wants to convey to the audience. Fashion-tech now adds another dimension to this narrative through dynamically changing aspects of the garments. Many factors of presentation in a runway show affect how fashion-tech garments communicate a story to the audience. In this pictorial, we review a set of twenty-eight storytelling fashion-tech garments. We identify, catalogue, and categorize the factors designers used to convey stories to the audience from the runway. The design space consists of three levels: (1) the artifact-level, (2) the viewer-level, and (3) the context-level. The design space addresses how designers show their story through fashion-tech garments and how audience members see and know those messages. Our work contributes a list of considerations that fashion-tech designers must address early in their design process to effectively convey their story during a runway show presentation.
Estimation of Brush Type Passive Stylus Angles Using Capacitive Image

Smartphones have limited input vocabularies compared with PCs. In this paper, we propose a method for estimating the stylus angle of a passive brush from capacitive images. The technique allows us to expand the input vocabulary without complicating the smartphone or the stylus. We conducted experiments that showed the estimation error (MAE) was 6.63° for pitch and 5.97° for roll. Two applications were implemented to show the feasibility of the technique.
Multichannel filters with shape designing in two-dimensional photonic crystal slabs

We investigated the influence of the irregular shape of air holes on the optical characteristics of channel-drop filters built in a two-dimensional photonic crystal slab. Three differently shaped structures are tested by experiments and simulations to demonstrate the shape-tuning capability of the optical devices. A four-channel filter based on this shape design is presented. The photonic crystal consists of a triangular array of air holes fabricated by focused ion beam lithographic technology on a silicon slab with thickness of 260 nm. The filter contains a heterostructure with different lattice constants of 420 and 430 nm. In each channel, the filtering functionality is guaranteed by the indirect resonant coupling between waveguide and cavity. The elliptical air holes that surround the cavity have different parameters, and this leads to a fine tuning of the cavity’s resonant frequencies. The performance of the multichannel filter is found to be very encouraging.
Fetal cardiac function evaluation: A review

The aim of this review is to provide an up to date on the current use of fetal echocardiography in assessing the fetal cardiac function and its potential research and clinical applications. Despite classically is been used for prenatal diagnosis of fetal heart defects, assessment of fetal cardiac function has been recently proposed as a fundamental tool to assess pregnancies complicated by several disorders with long‐term impact on post‐natal cardiovascular health, such as placental insufficiency and fetal growth restriction. In this review we present anatomical and functional fetal cardiac development mechanisms and an overview of the currently available techniques for evaluating fetal heart function.
The Optical Extragalactic Background Light: Revisions and Further Comments

We revise the measurements in our previous work of foreground zodiacal light (ZL) and diffuse Galactic light (DGL) that were used to measure the extragalactic background light (EBL). These changes result in a decrease of 8 and an increase of 0.3 in units of 10-9 ergs s-1 cm-2 sr-1 Å-1 ("cgs" units) in the ZL and DGL flux, respectively. We therefore obtain revised values for the EBL of 6 ± 4, 10 ± 5, and 7 ± 4 cgs in the HST WFPC2 U (F300W), V (F555W), and I (F814W) bands, respectively, from sources fainter than mV ~ 23 AB mag. The revisions are dominated by the details of the tropospheric scattering models used to measure the ZL. We discuss these results in the context of faint number counts and diffuse EBL measurements at other wavelengths. In particular, we note that unless the slope of the galaxy counts increases beyond mV ~ 30 AB mag, unresolved sources will contribute <0.2 cgs, which is far below the uncertainties achievable for any diffuse EBL measurement in the foreseeable future. Therefore, the best constraints on faint sources come from the resolved sources themselves. As in our earlier work, models are still required to derive the bolometric EBL (0.1-1000 μm) due to uncertainties in the mid-infrared; consequently, our previous discussions of the bolometric EBL are not affected by the revisions presented here. Finally, we discuss the nature of the extended point-spread function (PSF) of ground-based telescopes and its impact on surface brightness measurements. In particular, we show that the slope and amplitude of extended PSFs vary considerably between telescopes and with time. We find no conclusive, single cause of extended PSFs, although atmospheric scattering is ruled out.
Microwave Radiometer for Cloud Carthography: A 22‐channel ground‐based microwave radiometer for atmospheric research

A 22‐channel Microwave Radiometer for Cloud Carthography (MICCY) for the profiling of tropospheric temperature, humidity, and cloud liquid water has been developed. The radiometer has 10 channels along the high‐frequency wing of the 22.235 GHz water vapor line, 10 channels along the low‐frequency side of the 60 GHz oxygen complex, and 2 channels at 90 GHz. Two features make the radiometer a unique tool for the observation of small‐scale structures related to cloud processes: (1) Atmospheric brightness temperatures are measured simultaneously at all channels with an integration time of 1 s. (2) A Cassegrain system including a 90 cm off‐axis parabolic mirror leads to a spatial resolution better than 1° full width at half maximum for all frequencies. The necessity of these features for cloud observations is demonstrated. Algorithms for the retrieval of integrated water vapor, integrated cloud liquid water, and the profiles of temperature and humidity were developed on the basis of artificial neural networks. Measurement examples, including comparisons with radiosondes, demonstrate the systems capabilities for high‐resolution atmospheric monitoring.
Parametrization of solutions of the Lewis metric by a Painlevé transcendent III

Without making use of the Ernst formalism we look directly for particular solutions of field equations describing stationary axisymmetric vacuum space–time using Weyl coordinates. The solutions that we obtain, by simple separation of variables, are parametrized in the general case by a III transcendent of Painleve with two arbitrary constants.
Brain tissue cerebrospinal fluid fraction increases quadratically in normal aging

Background and Purpose Our objective was to apply multi-compartment T2 relaxometry in cognitively normal individuals aged 20-80 years to study the effect of aging on the parenchymal cerebrospinal fluid fraction (CSFF), a measure of the microscopic-scale CSF space. Materials and Methods A total of 66 volunteers (age range, 22-80 years) were enrolled. Voxel-wise maps of short-T2 myelin water fraction (MWF), intermediate-T2 intra/extra-cellular water fraction (IEWF), and long-T2 CSFF were obtained using fast acquisition with spiral trajectory and adiabatic T2prep (FAST-T2) sequence and three-pool non-linear least squares fitting. Multiple linear regression analysis with correction for multiple comparisons was performed to study the association between age and regional MWF, IEWF, and CSFF measurements, adjusting for sex and region of interest (ROI) volume. The cerebral white matter (WM), cerebral cortex, and subcortical deep gray matter (GM) were considered as ROIs. In each model, a quadratic term for age was tested using an ANOVA test. A Spearman’s correlation between the normalized lateral ventricle volume, a measure of organ-level CSF space, and the regional CSFF, a measure of tissue-level CSF space, was computed. Results In the multiple regression analysis, we found a statistically significant quadratic relationship between age and regional CSFF for all three ROIs (all p-values < 0.001). A statistically significant quadratic relationship with age was also found for MWF in the deep GM (p = 0.004) and IEWF in the cortex (p = 0.012). There was a statistically significant linear relationship between age and regional IEWF in the cerebral WM (p = 0.006) and deep GM (p = 0.002). In the univariate correlation analysis, the normalized lateral ventricle volume was found to correlate moderately with the regional CSFF measurement in the cerebral WM (ρ = 0.43, p < 0.001), cortex (ρ = 0.43, p < 0.001), and deep GM (ρ = 0.49, p < 0.001). Conclusion Brain tissue water residing in different water compartments shows complex changing patterns with age. Parenchymal CSFF, a biomarker of microscopic-scale CSF-like water, shows a quadratic increase in both GM and WM, starting approximately at the age of 50.