Miracle-dz/UniFAR-FTUs huggingface dataset:
Un estudio experimental sobre la adquisición de la competencia cultural en la formación de traductores. Resultados de un estudio piloto

En este articulo se presentan los principales resultados del estudio piloto de un estudio experimental sobre la adquisicio de la competencia cultural en la formacion de traductores. Este estudio se enmarca en la investigacion sobre adquisicion de la competencia traductora del Grupo PACTE (Proceso de Adquisicion de la Competencia Traductora y Evaluacion). El diseno experimental del estudio se piloto con una muestra de cinco estudiantes con aleman como segunda lengua extranjera del ultimo curso del Grado en Traduccion e Interpretacion de la Universitat Autonoma de Barcelona. La lengua materna de los estudiantes era el espanol o el catalan. Se recogieron datos para comprobar la adecuacion de los criterios de seleccion de la muestra, la idoneidad de los problemas de traduccion seleccionados para el analisis, el funcionamiento de los instrumentos de recogida de datos y la duracion y el orden de las tareas experimentales. Los resultados han demostrado que los instrumentos recogen datos pertinentes, la muestra seleccionada era representativa de la poblacion de estudio y los problemas de traduccion eran utiles para el analisis. Sin embargo, las tareas experimentales deben ser revisadas y deben recogerse mas datos sobre aspectos culturales.
Blood Flow and Cerebral Laterality in the Mescaline Model of Psychosis

The psychological, neuropsychological, and neurometa-bolic effects of the hallucinogenic agent mescaline were investigated in 12 normal male volunteers. Between 3% and 4 hours after drug intake, mescaline produced an acute psychotomi-metic state, as measured by the BPRS and PDS-P. The APZ questionnaire revealed the specific effects of mescaline in the visual system. Neuropsychological effects were studied with a face/ non-face decision task with known right hemisphere advantage, in which mescaline induced a decrease in functioning of the right hemisphere. In functional brain imaging using SPECT, mescaline produced a "hyperfrontal' pattern with an emphasis on the right hemisphere, which was correlated with rnescaline-induced psychotomimetic psychopathology. Our findings question the validity of the concept of hypofrontality as an explanation for acute psychotic symptomatology.
Quantity Analysis of Solar Modules Based on Aerial Images

This paper proposes a system evaluation to calculate the number of photovoltaic(PV) modules in an aerial image to help the acceptance inspection of large-area PV module installation and PV module defects. First, the aerial image of the PV module must be converted to a grayscale image and then binarized. Extract the PV module from the background. Next, morphological erosion operations are used to remove noise and enhance the edge profile of the PV module. Multiple PV module arrays are then segmented from the image by pattern-matching. Finally, the edges of the PV modules are identified using Hough transformation. The total number of PV modules is calculated by finding the relationship between the edge number and the module number The study method determines the X-axis direction by self-defining two points in the aerial image. And use one point as the positioning origin. Calculate the coordinate information of each module. In the experiment, we rotate the image at several angles for detection. We discussed the discrepancy between the number of PV modules in the image and the number of PV modules calculated by the system.
Millimeter-Wave Substrate-Integrated Waveguide Multiplexer with High Channel Scalability and High Isolation

This paper proposes a millimeter-wave substrate-integrated waveguide (SIW) multiplexer with high channel scalability and high isolation. To allow flexible increase in the number of channels while reducing the loading effect, a common SIW that is short-circuited at the far end is used to load all channels at locations with maximum magnetic field intensity. Isolation between channels is further improved by staggering higher-order resonances of SIW cavities to suppress any harmonic passband and thus extends the capability of implementing arbitrary passband frequencies. As a proof-of-concept, a quadruplexer was fabricated with center frequencies at 27.1/28.6/37.6/39.3 GHz, where the measured minimum insertion loss is 3.9/3.8/3.6/3.9 dB and the in-band isolation is greater than 37 dB between any two channels. In the frequency range of 20-45 GHz, the measured isolation is greater than 32 dB.
A New Microwave Oscillator-Based Microfluidic Sensor for Complex Permittivity Measurement

A new microwave oscillator-based microfluidic sensor is proposed in this paper for complex permittivity measurement. A modified coplanar strip resonator is proposed as the permittivity sensing device and frequency-selective element for the oscillator design. It can concentrate the sensing electric field with a distribution consistent with the microfluidic channel. As the test liquids are placed in the sensing region, the oscillation frequency and output power are measured for complex permittivity computation. The 23-μL water-ethanol mixtures with ethanol volume fractions of 10% to 70% in increments of 20% are used as the test liquids to evaluate the sensor performance. Compared with the results obtained from the commercial dielectric probe, the maximum errors of the dielectric constant and loss tangent measured by the proposed microfluidic sensor are 9.45% and −8.84%, respectively.
Occupant Entry and Exit Event Extraction Using Continuous Wave (CW) Doppler Radar and Wavelet Analysis

Occupancy estimation and occupant entry/exit detection can play a significant role in designing energy-efficient heating, ventilation, and air conditioning (HVAC) systems. Radar-based occupancy estimation is gaining attention as it is unobtrusive and does not give rise to privacy issues associated with video imaging. Most research is focused on estimating the number of occupants by employing frequency-modulated continuous wave (FMCW) radar using a micro-Doppler signature. Continuous wave (CW) radar has a simple architecture and fewer signal processing steps than FMCW radar and is mostly employed for sensing micro-Doppler signatures produced by human cardiopulmonary motion. This paper investigates the feasibility of using wavelet analysis to extract occupant entry and exit information from data produced by a single antenna 2.4 GHz CW radar occupancy sensor. Preliminary experimental results on a short scale demonstrated that maximum wavelet coefficient frequency (MWCF) and wavelet coefficient energy (WCE) vary significantly during the entry and exit event of occupants, and can provide a reliable indicator to estimate the number of occupants.
WoT-Phyng-Sim: Integrating Physics Simulations with IoT Digital Twins using the Web of Things

The high fragmentation in the IoT landscape necessitated the introduction of the Web of Things (WoT), a set of standards by W3C. Among other things, the WoT defines a standardized human-and machine-readable JSON document called the Thing Description (TD) that is able to describe the Application Programming Interface (API) provided by devices on a network. This description already provides enough information to generate a simulation that can mimic the cyber behavior of the Thing. However, the TD does not capture the physical properties and behavior of Things and, therefore, cannot be used to generate a cyber-physical simulation of a Thing. In this paper, we introduce a new method and an open-source framework for setting up and automatically generating WoT-compliant cyber-physical Digital Twins (DTs) in Computational Fluid Dynamics (CFD) simulators that can simulate physical processes, can be controlled in real-time and require minimal human effort. Such a simulation can be used to verify the behavior of cyber-physical systems before and after deployment. We demonstrate the viability of our method using a conjugate heat transfer simulation of a smart home environment with multiple devices running in real-time. Furthermore, we perform a scalability analysis and conclude that our approach is able to simulate multpile devices while maintaining real-time behavior. Using our proposed approach, the process of setting up physically realistic WoT-compliant DTs becomes fast, easy, which bridges the gap between cyber-physical systems and the WoT.
RASTE: A Relation-Guided Joint Method for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is an important subtask of aspect-based sentiment analysis. It aims to extract aspect terms, corresponding sentiment polarities and related opinion terms from a sentence. The most advanced research efforts solve this problem in an end-to-end manner. However, they usually use one classifier to handle both relation detection and sentiment polarity classification tasks for aspectopinion pairs, which affects the prediction performance of the classifier. Moreover, the previous works treat subtasks equally, ignoring the differences between subtasks. In this paper, we propose a relation-guided method that models the relation detection and sentiment polarity classification subtasks differently to extract aspect sentiment triplets more effectively. Further, we capture the corresponding contextual features for each subtask separately to improve the overall performance of the model. We conducted experiments on two group benchmark datasets. Our model turns out to be one of the state-of-the-art models with effectiveness and superiority according to the experimental results.
Energy-Efﬁcient Resource Allocation for Slicing-enabled Multi-access Edge Computing

—Multi-access edge computing (MEC) provides a distributed computing environment and cloud-like services at the network edge, aiming to relieve high network latency and enormous backbone network pressure. However, with the diver-siﬁcation of mobile devices and increased demand for mobile services, the shortage of edge computing resources has become a new challenge. In this context, researching more efﬁcient resource management methods has become the key to addressing this challenge. This paper investigates the energy-efﬁcient computing resource allocation problem in a slicing-enabled MEC system. First, we establish mathematical models to characterize the MEC system and characterize each edge server (ES) slice as an M/M/m queueing model, such that the average power consumption (APC) of the ES and the average response time (ART) of different tasks can be calculated analytically. Then, we design numerical methods to obtain the optimal resource allocation scheme for each ES slice to reduce the ES’s APC while ensuring that the ART meets the latency constraints of different tasks. Finally, we provide several numerical experiments to show the effectiveness of the proposed methods.
PAGE: Endowing Dialogue Agents with Personalized Characters via Persona Perception

Open-domain dialogue systems aim to chat with users in a human-like style, reaching considerable focus from academic and industrial circles. The existing studies mainly focus on the personality of the dialogue agent while ignoring the consistent expression. The dialogue systems with consistent expressing style can effectively acquire users’ trust and give full play to its value. To generate a consistent response, in this paper, we propose a personalized dialogue model named PAGE, which excavates and understand the characters immensely. Then, we use the fine-grained fusion of dialogue context and persona to improve generation quality. Finally, we utilize the language inference data and employ the unlikelihood training process to minimize the contradictory response with the persona. The experimental results demonstrate that our proposed model outperforms the baseline and the effectiveness for improving response consistency.
A Survey of Teleoperation: Driving Feedback

Teleoperation can be regarded as an effective backup system for self-driving vehicles, which could take over vehicle control in some special scenarios that the automated vehicles could not handle. However, there are still many challenges in teleoperation, such as low situation awareness. This could potentially be dangerous in some extreme situations. However, it could be effectively improved by providing suitable driving feedbacks. Hence, this article provides a timely and comprehensive review of existing and possible driving feedback techniques in teleoperation. They are presented from the point of view of video feedback, steering force feedback, motion-cueing feedback, audio and vibration feedback, and other non-conventional feedback modes. Then, the current challenges, future trends and opportunities in teleoperation are presented and discussed.
High-Q Monolithically-Integrated Bandpass Filters Using Quarter-Spherical Resonators

A new class of monolithically-integrated and high-quality factor (Q) 3D bandpass filters (BPF) is reported. The proposed filter concept is based on compact high-Q quarter-spherical resonators that are significantly smaller than conventional spherical resonators. A mono-block connectorized integration concept is demonstrated using stereolithography apparatus (SLA) 3D printing. The operating principles of the quarter-spherical BPF concept are demonstrated through detailed eigen mode and full-wave electromagnetic simulations. For proof-of-concept demonstration purposes a second-order BPF prototype was manufactured and tested. It exhibited the following transfer function characteristics. Center frequency: 12.28 GHz, minimum in-band insertion loss 0.3 dB, effective quality factor (Qeff) of 1800 and fractional bandwidth of 2.8%
STABack: Making Dynamic Backscattering Stable for Fast and Accurate Object Tracking

In this paper, we present a novel object tracking system, named STABack, that utilizes backscatter tags and accelerometer sensors. The system is designed to support high-speed movement tracking with high accuracy. One of the challenges faced in this system is the instability of the received signal due to the motion and rotation of the backscatter tag. To address this issue, we propose an amplitude stabilization algorithm to eliminate the interference caused by the tag's motion. The algorithm uses envelope detection to remove the impact of high-frequency motion on the signal, and a dynamic threshold output to further reduce the bit error rate of backscatter demodulation. Additionally, we perform outliers removal and interpolation on the three-axis accelerometer data and compute the attitude angle using 3D geometric quadrants. Finally, we implement the prototype of STABack and evaluate its performance. Our method improves BER up to 0.3757 compared with the regular demodulation method. Our evaluation of the STABack prototype shows that it achieves a median distance measurement accuracy of 6.45 cm with a standard deviation of 6.95 cm. The mean error of the attitude angle estimation is less than 7 degrees, and the average relative error of three-axis acceleration tracking is only 0.097. The system's accuracy in detecting the target object's trajectory is as high as 98%, and it can still decode with a bit error rate of no more than 0.034 at a speed of 166 cm/s. The power consumption of backscatter communication is $38.54\ \mu\mathrm{W}$. Based on our experimental results, Overall, our results demonstrate that STABack can accurately estimate the movement and rotation of target objects in unstable backscatter channels.
A Fully Automated Approach to Preprocessing and Segmentation of Coronary Arteries in X-ray Angiography Images

In medical practice, X-ray coronary angiography (XRA) represents a gold standard in diagnosing coronary artery (CA) disease. Although deep learning methods achieve high accuracy results, large number of labeled imaging data are often unavailable. As a result, unsupervised methods based on filters should be prioritized. This paper focuses on methodologies for tackling preprocessing steps and segmentation of coronary arteries in X-ray angiography images, only to improve the 3D reconstruction of the CA in the later stages. Dataset with X-ray coronary angiography images of 147 patients from a local database was used for segmentation of left and right coronary artery. Several preprocessing steps after which ridge and edge detection and global Otsu’s thresholding was applied, showed that several techniques can be applied in order to detect coronary arteries without unwanted noise, additional details and with connectivity among detected centerlines. The results of this study will represent and input to further steps included on 3D reconstruction of coronary arteries.
Optimal Fractional Order PID Control of Sensorless BLDC Motor

This paper presents the implementation of a Fractional Order PID (FOPID) controller for regulating the angular speed of a Brushless DC (BLDC) sensorless motor. The controller is optimized using the Flower Pollination Algorithm and Genetic Algorithm (GA) to determine the optimal values for the fractional order system parameters and PID parameters of the controller. A comparison between the results obtained from FOPID and PID controllers is conducted, focusing on the strengths of FOPID in terms of rising time, overshoot, and settling time when controlling the angular speed of the BLDC motor. The simulation results unequivocally demonstrate that FOPID is the optimal choice for angular speed control, yielding a satisfactory transient response, particularly with regards to the critical rising time aspect, which holds significance across a wide range of applications involving BLDC motors.
Achieving Interoperability with MBSE and Asset Administration Shells: Integration of MATLAB/Simulink and BaSyx

This paper presents an approach to integrating Asset Administration Shells (AASs) and Model-based systems engineering (MBSE) to meet the stricter demands of Industry 4.0 plants. This integration can enable a system to gather and analyze real-world data as well as to update the system model, leading to prolonged model lifetime and increased utility. The proposed solution is a library developed using MATLAB/Simulink and BaSyx APIs, which provides a block that encapsulates the communication interface with a submodel stored inside a BaSyx AAS server. The authors used a hydraulic press simulation to validate the proposed solution and demonstrate how it can be used to implement condition monitoring capabilities.
Performance analysis of land mobile satelliteterrestrial systems with selection relaying

In this paper, we present the outage probability analysis of the hybrid integrated satellite-terrestrial communication systems, where the reliability of the system is increased by using the cooperative relay. The closed-form expression of the outage probability is derived for the case when the propagation of the satellite-terrestrial links is described by using the shadowed Ricean fading model and the propagation of the terrestrial links is described by using the Nakagami fading model, both with integer-valued fading parameters. The analysis takes into account the system geometry and realistic channel parameters. The presented numerical results are verified by using the independent Monte Carlo simulation method.
Effect of O2 Exposure on Silicon Field Emitter Arrays Style

The impact of Oxygen (O<inf>2</inf>) exposure on Silicon Field Emitter Arrays (Si-FEA) was studied. A 50×50 array of Silicon field emitters was tested at 1000V DC anode and 45V DC gate voltage in 6×10<sup>−10</sup> Torr before 10–<sup>7</sup> Torr partial pressure of O<inf>2</inf> was introduced into the chamber. The results indicate that the anode current degradation rate is approximately 0.1 percent per Langmuir of O<inf>2</inf> exposure. This study can provide guidelines for the vacuum packaging requirements of Si-FEAs.
Delay Based Congestion Control for Cross-Datacenter Networks

Numerous distributed applications are deployed in the cross-datacenter networks (Cross-DC) where geographically distributed data centers (DC) are connected by wide area network (WAN). These online applications will generate both intra-datacenter and inter-datacenter traffic, each with distinct requirements and characteristics. We find that existing combined congestion control schemes ignore the interaction of the two types of traffic and the hybrid congestion control schemes fail to accurately estimate cross data center network congestion extent. In this paper, we propose IDCC a delay based congestion control scheme that uses delay to handle congestion inside the DC and in the WAN, respectively. We respectively utilize In-band network telemetry (INT) and round trip time (RTT) to measure the queuing delay inside DC and in the WAN and guarantee the stability of the algorithm by Proportional Integral Derivative (PID). Simultaneously, we demonstrate the empirical results of optimizing flow completion time (FCT) of intra-DC short flow by weight function in cross-DC. We implemented IDCC in simulation platform ns-3 and have performed extensive large scale simulation evaluations. Results show that IDCC decreases the FCT of intra-DC traffic by 3.6× to 12× and improves the throughput of inter-DC traffic by 9% to 16% compared to Gemini, Annulus.
Small Chunks can Talk: Fast Bandwidth Estimation without Filling up the Bottleneck Link

With the development of wireless communications (e.g., WiFi 6 and 5G), more and more high-bandwidth networks are emerging in our daily life. However, due to the limited speed of the slow start phase in congestion control algorithms, the high-bandwidth links may not be fully utilized, which will degrade the Quality of Service (QoS). The reason is, since the available link capacity is unknown until the link is fully occupied, the sender has to gradually increase the congestion window (cwnd) from a small initial value, causing the link to be underutilized, until a packet is dropped or a congestion signal is detected. Especially, for a short flow, the transmission is often finished before the link capacity is reached, leading to the waste of available bandwidth. To better exploit the high bandwidth links, this paper proposes FBE (Fast Bandwidth Estimation without Filling up the Bottleneck Link), by leveraging the effective ACK's returning rate to estimate the bottleneck link capacity. More specifically, instead of sending out any additional probe packets, FBE uses the ACK rates from the first two RTT rounds to quickly estimate the bandwidth during slow start phase. Since the original ACK rate is significantly lower than the available link bandwidth due to the exhaustion of send window, and the competing flows also have an impact on the ACK rate, FBE elaborates the ACK interval compensation algorithm to refine the ACK intervals to reflect the link rate, and then updates cwnd to a suitable size. To address the challenge of inaccurate bandwidth estimation, especially for rapidly changing wireless link, FBE dynamically adjusts cwnd according to the feedback of driver queue length after the bandwidth estimation. Experiments in real WiFi and LTE networks show that FBE reduces the slow start convergence time by 54.8% and 53.5% compared to CUBIC and BBR with traditional slow start, respectively. And when transferring short flows (512KB in size), FBE reduces the flow completion time by 40.4% and 43.8% compared to CUBIC and BBR, respectively.
Characterization and Operation of Graphene-Oxide-Semiconductor Emitters at Atmospheric Pressure Levels

In recent years Graphene-Oxide-Semiconductor (GOS) electron emitters have attracted a lot of interest due to their outstanding durability in modest vacuum conditions. However, the performance at ambient pressure remains largely unexplored. In this study GOS-emitters are characterized in nitrogen and air at atmospheric pressure, and compared with their vacuum characteristics. For this purpose, lifetime and IV-characteristics measurements are shown. Furthermore, the GOS-emitter was operated as an ionization source for ion mobility spectrometry (IMS) at ambient conditions.