Miracle-dz/UniFAR-FTUs huggingface dataset:
Single-Dielectric Wideband Partially Reflecting Surface With Variable Reflection Components for Realization of a Compact High-Gain Resonant Cavity Antenna

This communication presents a design methodology for a compact low-cost partially reflecting surface (PRS) for a wideband high-gain resonant cavity antenna (RCA) which requires only a single commercial dielectric slab. The PRS has one nonuniform double-sided printed dielectric, which exhibits a negative transverse-reflection magnitude gradient and, at the same time, a progressive reflection phase gradient over frequency. In addition, a partially shielded cavity is proposed as a method to optimize the directivity bandwidth and the peak directivity of RCAs. A prototype of the PRS was fabricated and tested with a partially shielded cavity, showing good agreement between the predicted and measured results. The measured peak directivity of the antenna is 16.2 dBi at 11.4 GHz with a 3 dB bandwidth of 22%. The measured peak gain and 3 dB gain bandwidth are 15.75 dBi and 21.5%, respectively. The PRS has a radius of 29.25 mm (<inline-formula> <tex-math notation="LaTeX">$1.1\lambda _{0}$ </tex-math></inline-formula>) with a thickness of 1.52 mm (<inline-formula> <tex-math notation="LaTeX">$0.12\lambda _{g}$ </tex-math></inline-formula>), and the overall height of the antenna is <inline-formula> <tex-math notation="LaTeX">$0.6\lambda _{0} $ </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">$\lambda _{0}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\lambda _{g}$ </tex-math></inline-formula> are the free-space and guided wavelengths at the center frequency of 11.4 GHz.
15.3 A 100W and 91% GaN-Based Class-E Wireless-Power-Transfer Transmitter with Differential-Impedance-Matching Control for Charging Multiple Devices

Having multiple devices charged by a wireless-power-transfer (WPT) system has become more common as illustrated in Fig. 15.3. 1. A wide-power-range (no load $\sim 100\mathrm {W})$, compact, and efficient WPT system needs to include the following features. First, an impedance-matching technique that achieves zero-voltage switching (ZVS) and zero voltage-derivative switching (ZVDS) on a Gallium Nitride (GaN) switch is needed to reduce the efficiency loss caused by hard switching (HS) and reverse conduction (RC). Second, under high-power conditions, it is desirable to reduce the voltage and current stress on each switch and passive components. Third, there is a need to reduce the number of external components for compact size. In [1] and [2], an external capacitor array for impedance matching occupies a large printed circuit board (PCB) area. If the output power is as high as 100W, the controlled switch needs to withstand high voltage stresses of up to 600V. The fractional-capacitance tuning technique in [3] achieves a wide range of equivalent capacitance, but there are still high-voltage-stress problems similar to [1], [2]. Although [4] provides a high-power solution, the voltage-controlled-capacitance (VCC) technique needs to tune the internal parasitic capacitance, $\mathrm {C}_{\mathrm {OSS}}$, from 350 to 3500pF and thus requires more external components and large bias voltage $\mathrm {V}_{\mathrm {BIAS}}$.
6.3 A Sub-250mW 1-to-56Gb/s Continuous-Range PAM-4 42.5dB IL ADC/DAC-Based Transceiver in 7nm FinFET

The enormous availability of data on the internet and the increased computational power available in the cloud require a constant increase in the bandwidth needed to transport data across the network. In order to mitigate the cost of infrastructure, the industry has proposed standards for 56Gb/s PAM-4 interfaces that can support legacy channels in conjunction with forward error correction (FEC) techniques. The reduced signal to noise ratio (SNR) available with PAM-4 modulation vs. NRZ requires sophisticated signal processing, making DSP-based solutions very attractive in terms of performance but, so far, at the expense of extra power vs. classical analog solutions. This paper demonstrates that this trade-off can be broken and presents a compact ADC/DAC DSP-based long-reach transceiver in 7nm FinFET technology that operates seamlessly from 3.5-to60Gb/s in PAM-4 (from 1-to-30Gb/s in NRZ mode) and consumes less than 250mW at 56Gb/s. The presented IP extends the deployment of DSP-based transceivers from repeater/re-timer applications to big ASICs with a very large number of ports.
Toward Budgeted Online Kernel Ridge Regression on Streaming Data

“Concept drift” makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online kernel ridge regression (BOKRR). It is a budget version kernel ridge regression algorithm coupled with <italic>minimum contribution criterion</italic> to maintain the budget of the active set. BOKRR employs low-rank correction technology and the Sherman–Morrison–Woodbury formula to update the dynamic KRR model with the computational complexity of only <inline-formula> <tex-math notation="LaTeX">$\mathcal {O}(B^{2})$ </tex-math></inline-formula> with <inline-formula> <tex-math notation="LaTeX">$B$ </tex-math></inline-formula> learning samples (Budget size of an active set). Limited storage burden and efficient computational ability make the proposed BOKRR algorithm an ideal candidate to process streaming data. The experimental results on benchmark and real-world datasets further demonstrate the validity and efficiency of the proposed algorithms.
Fast Searches for Astronomical Transients Based on Focal-Field Feature Matching

Since fast transients such as fast radio bursts are short-duration events, the telescope should require a wide instantaneous field of view (FoV). Unlike the traditional beam-scanning technology, this letter proposes a new approach for transient radio target detection using focal-field feature matching. Based on the off-axis focusing characteristics of the parabolic antenna reflector, the focal-field distribution (FFD) database is established on the basis of various incident angles and frequencies. Combining the frequency feature of the transients, an improved compressed sensing method using the multiple-frequency joint estimation is proposed. The direction of the transients can be identified through the relationship of the reconstructed index and FFD feature database. Moreover, according to the received energy distribution, a database-selection method is proposed as a preprocessing to reduce the algorithm complexity. A simplified antenna model is used to generate the FFD database. The simulation results demonstrate that this approach can accurately estimate the transient position. In addition, compared with the traditional multibeam scanning system, the proposed method increases the FoV of the radio telescope and can provide an extended detection for transients.
Model Predictive Visual Servoing of Fully-Actuated Underwater Vehicles With a Sliding Mode Disturbance Observer

This paper presents a sliding-mode observer-based model predictive control (SMO-MPC) strategy for image-based visual servoing (IBVS) of fully-actuated underwater vehicles subject to field of view and actuator constraints and model uncertainties. In the proposed SMO-MPC controller, the visual system model and the approximate underwater vehicle model are used to predict the future trajectories from the current states driven by input candidates over a certain horizon. With the consideration of system uncertainties, including external disturbances and unknown dynamic parameters, a sliding-mode observer is designed to estimate the modeling mismatch, which is feedforward to the dynamic model in MPC. The actual control signals are generated at each step by minimizing a cost function of predicted trajectories under system constraints. The effectiveness of the proposed SMO-MPC IBVS controller is verified by comparative simulations using a fully-actuated underwater vehicle with different control configurations.
An Activity-Based User Trusting Behavior Diffusion Model in Social Networks

One of the key issues on social networks is how users trust each other. Users of social networks don’t necessarily know other users and need to trust them in communicating and sharing information. There are various ways to compute the trust value of unknown users. The proposed methods have assumed that trusting behavior of users is like each other while users’ view may vary and change over time due to personal or environmental changes. In this paper, we have proposed a three-condition model for describing the trusting behavior of each user in social networks. Our model consists of three modes to compute the trust value of users. In each trusting mode, different features of user behavior and activities are the basis for calculating trust. Our model also shows how the trusting behavior mode of users diffuses on the network and makes changes in the behavior mode of their neighbors. The results of the model show more consistency with real-world behavior changes in trust of individuals and the changes in the whole community behavior in this manner.
Inhibition of GLUT4 Translocation by Tbc1d1, a Rab GTPase-activating Protein Abundant in Skeletal Muscle, Is Partially Relieved by AMP-activated Protein Kinase Activation*

Insulin increases glucose transport by stimulating the trafficking of intracellular GLUT4 to the cell surface, a process known as GLUT4 translocation. A key protein in signaling this process is AS160, a Rab GTPase-activating protein (GAP) whose activity appears to be suppressed by Akt phosphorylation. Tbc1d1 is a Rab GAP with a sequence highly similar to that of AS160 and with the same Rab specificity as that of AS160. The role of Tbc1d1 in regulating GLUT4 trafficking has been unclear. Our previous study showed that overexpressed Tbc1d1 inhibited insulin-stimulated GLUT4 translocation in 3T3-L1 adipocytes, even though insulin caused phosphorylation on its single canonical Akt motif. In the present study, we show in 3T3-L1 adipocytes that Tbc1d1 is only 1/20 as abundant as AS160, that knockdown of Tbc1d1 has no effect on insulin-stimulated GLUT4 translocation, and that overexpressed Tbc1d1 also inhibits GLUT4 translocation elicited by activated Akt expression. These results indicate that endogenous Tbc1d1 does not participate in insulin-regulated GLUT4 translocation in adipocytes and suggest that the GAP activity of Tbc1d1 is not suppressed by Akt phosphorylation. In addition, we discovered that Tbc1d1 is much more highly expressed in skeletal muscle than fat and that the AMP-activated protein kinase (AMPK) activator 5′-aminoimidazole-4-carboxamide ribonucleoside partially reversed the inhibition of insulin-stimulated GLUT4 translocation by overexpressed Tbc1d1 in 3T3-L1 adipocytes. 5′-Aminoimidazole-4-carboxamide ribonucleoside activation of the kinase AMPK is known to cause GLUT4 translocation in muscle. The above findings strongly suggest that Tbc1d1 is a component in the signal transduction pathway leading to AMPK-stimulated GLUT4 translocation in muscle.
Describing services geolocation in IoT context

The large number of devices connected to the Internet of Things creates an enormous network of resource sharing. Although, in a cloud computing setup, the geographic location of servers is not critical for application development, this scenario changes in a of consumer electronics network with edge computing. In this work we propose a model to describe the geolocation information of services in a network of consumer electronics. We propose a semantic representation of geolocation that is integrated into the Swarm framework, a middleware for decentralized cooperation of devices in the IoT. As a result, we created a reference implementation for the Swarm, and tested it using services in a consumer electronics setup.
MOOCs on the Context of Software Engineering Teaching and Training: Trends and Challenges

This Research Full Paper presents an analysis of the challenges and advantages on applying MOOCs in software engineering teaching and training contexts. Software engineering is a constantly evolving discipline in which educators are involved with a constant flow of new tools, resources and techniques in software development. This scenario makes the act of teaching and contributing to the students’ academic education more complex. The insertion of educational technologies brings contributions in this context, causing a transformation in the current scenario of teaching. An example of these new technologies are the MOOCs (Massive Open Online Courses) – open and online courses that are available in providers in partnership with reputable universities. Considering this scenario, this paper aims at identifying the challenges and trends of MOOCs application in software engineering domain, by means of a systematic mapping of the literature (SML). During the SML it was performed an analysis of 5100 papers and selection of 96 primary studies. The outcomes indicate that there is a potential in using MOOCs on teaching or training, as they are an alternative to offer courses applying traditional methods of learning. In addition, the challenges of this direction are analyzed and discussed.
A Comparative Analysis of Different Double-Stage Magnetic Gear Transmission Systems with High Gear Ratio

The design procedure of two different double-stage Magnetic Gear Transmission systems (MaGTs) is presented in this paper. The MaGTs are characterized by the same maximum input torque and speed, but by different Permanent Magnet (PM) materials, namely NdFeB and Ferrite. The design procedure consists of optimizing the MaGT inner and outer stages sequentially, by selecting the cheapest configurations among all those that comply with both mechanical and magnetic constraints. The performances of the designed MaGTs are determined and compared to each other by both an analytical approach and Finite Element Analyses (FEAs), which are carried out by means of FEMM and SolidWorks software. The comparison reveals the most important advantages and drawbacks of each configuration, together with their possible future developments.
From passive dynamic walking to ankle push-off actuation: An MSC ADAMS approach to design

The main focus of this paper is on how the biped robot has a stable passive gait cycle as well as going through a stable journey on a level ground merely with push-off actuation. During recent years humanoids have been in the center of attention due to several reasons some of which are: compactness of the structure, low energy consumption, humanoid behavior and last but not least being of great use in medical field. In this paper, equations of motion regarding the passive phase as well as push-off are simulated in MATLAB software. For the next step, a comparison between these two stable gait cycles is made so as to figure out the difference between energy injected to the system by push-off and the one provided by the gravity. Then it is studied from the robustness point of view and it continues with a touch upon period doubling and bifurcation. Results from MATLAB are followed and validated by MSC ADAMS software in both fields and are compared to one another with the aim of finding a rational relationship between these two gait cycles. In the end, the robot is constructed and tested on a slope successfully. Eventually by having the similarity made between passive gait cycle and the one with push-off, having a stable gait cycle on a level ground with push-off actuation is possible.
Compact Ridge Waveguide Gysel Combiners for High-Power Applications

This paper presents, to the best of the authors’ knowledge, the first realizations of the Gysel-type power combiner/divider in ridge waveguide technology with two different configurations. Gysel combiners exhibit wider bandwidths than traditional combiners, while offering compact designs when implemented in ridge waveguide, compared with traditional waveguide combiners. In addition, Gysel combiners provide relaxed requirements on the power handling capability of the terminating loads in the case of fault conditions, which may result from imbalance between different inputs. The ridge waveguide designs offer better power handling capabilities, especially in comparison with planar designs. These advantages are shown with two different realizations, in top–bottom and side-by-side configurations, exhibiting very wide bandwidths while occupying very compact volumes. These two designs have been simulated, fabricated, and tested. Excellent test results have been obtained, confirming the validity of the concept.
pLG72 Modulates Intracellular D-Serine Levels through Its Interaction with D-Amino Acid Oxidase

Human genes coding for pLG72 and d-amino acid oxidase have recently been linked to the onset of schizophrenia. pLG72 was proposed as an activator of the human FAD-containing flavoprotein d-amino acid oxidase (hDAAO). In the brain this oxidizes d-serine, a potent activator of N-methyl-d-aspartate receptor. We have investigated the mechanistic regulation of hDAAO by pLG72. Immunohistochemical analyses revealed that hDAAO and pLG72 are both expressed in astrocytes of the human cortex, where they most likely interact, considering their partial overlapping subcellular distribution and their coimmunoprecipitation. We demonstrated that the specific in vitro interaction of the two proteins yields a complex composed of 2 hDAAO homodimers and 2 pLG72 molecules. Binding of pLG72 did not affect the kinetic properties and FAD binding ability of hDAAO; instead, a time-dependent loss of hDAAO activity in the presence of an excess of pLG72 was found. The binding affects the tertiary structure of hDAAO, altering the amount of the active form. We finally demonstrated that overexpression of hDAAO in glioblastoma cells decreases the levels of d-serine, an effect that is null when pLG72 is coexpressed. These data indicate that pLG72 acts as a negative effector of hDAAO. Therefore, a decrease in the synaptic concentration of d-serine as the result of an anomalous increase in hDAAO activity related to hypoexpression of pLG72 may represent a molecular mechanism by which hDAAO and pLG72 are involved in schizophrenia susceptibility.
Remote Air Quality Monitoring System by Using MyRIO-LabVIEW

Air quality monitoring is essential to ensure that the places we work or live in are conducive for our health. Recent technologies have enabled remote monitoring of the conditions of our environment such as air and water. This paper presents a remote air quality monitoring based on myRIO-LabVIEW, which could monitor the quality of air via detection of Carbon Monoxide (CO) rate in indoor locations within buildings. The sensor use to detect the CO is the MQ-7 sensor that is connected to the Arduino Mega and MyRIO controllers; the outputs is processed by the LabViewsoftware on the user computer remotely. For the purpose of testing, the system was tested at three selected locations to detect the rate of change of CO for over an hour. MyRIO will continuously save the CO rate data when the substance exists around these locations. In this way, the LabViewcan process and display the data to the user wirelessly or remotely. Subsequently, the average CO rate could also be calculated. The system is working successfully as its detection and data logging by both hardware and software is functioning wirelessly and the result can be analyzed further by the users.
Progressive Neural Network-based Knowledge Transfer in Acoustic Models

This paper presents a novel deep neural network architecture for transfer learning in acoustic models. A well-known approach for transfer leaning is using target domain data to fine-tune a pre-trained model with source model. The model is trained so as to raise its performance in the target domain. However, this approach may not fully utilize the knowledge of the pre-trained model because the pre-trained knowledge is forgotten when the target domain is updated. To solve this problem, we propose a new architecture based on progressive neural networks (PNN) that can transfer knowledge; it does not forget and can well utilize pre-trained knowledge. In addition, we introduce an enhanced PNN that uses feature augmentation to better leverage pre-trained knowledge. The proposed architecture is challenged in experiments on three different recorded Japanese speech recognition tasks (one source and two target domain tasks). In a comparison with various transfer learning approaches, our proposal achieves the lowest error rate in the target tasks.
The Transcriptional Co-activator MBF1c Is a Key Regulator of Thermotolerance in Arabidopsis thaliana*

The ability of an organism to acclimate to its environment is a key determinant in its global distribution and capacity to compete with other organisms. The heat stress response, a highly conserved environmental and developmental program in eukaryotic and prokaryotic organisms, is an important component of the acclimation response of plants. Previous studies have shown that heat shock transcription factors play an important role in thermotolerance in plants and other organisms, controlling the expression of different heat shock proteins and detoxifying enzymes. In contrast, although several other pathways, involving ethylene, salicylic acid (SA), and trehalose, were recently shown to play a central role in thermotolerance in plants, a key regulator of these responses was not identified. Here we report that the highly conserved transcriptional co-activator, MBF1c (multiprotein bridging factor 1c), is a key regulator of thermotolerance in Arabidopsis thaliana. MBF1c protein accumulates rapidly and is localized to nuclei during heat stress. MBF1c is required for thermotolerance and functions upstream to SA, trehalose, ethylene, and pathogenesis-related protein 1 during heat stress. In contrast, MBF1c is not required for the expression of transcripts encoding HSFA2 and different heat shock proteins. Interestingly, MBF1c interacts with TPS5 (trehalose phosphate synthase 5), which is also heat-inducible, and mutants deficient in TPS5 are thermosensitive. Our results provide evidence for the existence of a tightly coordinated heat stress-response network, involving trehalose-, SA-, and ethylene-signaling pathways, that is under the control of MBF1c.
RACORN-K: Risk-Aversion Pattern Matching-based Portfolio Selection

Portfolio selection is the central task for assets management, but it turns out to be very challenging. Methods based on pattern matching, particularly the CORN-K algorithm, have achieved promising performance on several stock markets. A key shortage of the existing pattern matching methods, however, is that the risk is largely ignored when optimizing portfolios, which may lead to unreliable profits, particularly in volatile markets. We present a risk-aversion CORN-K algorithm, RACORN-K, that penalizes risk when searching for optimal portfolios. Experiments on four datasets (DJIA, MSCI, SP500(N), HSI) demonstrate that the new algorithm can deliver notable and reliable improvements in terms of return, Sharp ratio and maximum drawdown, especially on volatile markets.