Miracle-dz/UniFAR-FTUs huggingface dataset:
Habitos alimentares de adolescentes residentes em areas rurais da cidade de Piedade, Sao Paulo

CARLA C. ENES1; GIOVANA E. PEGOLO2; MARINA VIEIRA DA SILVA3 1Doutoranda em Saúde Pública da Faculdade de Saúde Pública da USP 2Doutoranda em Alimentos e Nutrição da Faculdade de Ciências Farmacêuticas da UNESP 3Profa. Dra. da Escola Superior de Agricultura “Luiz de Queiroz” ESALQ/ USP. Endereço para correspondência: Carla Cristina Enes Rua Cristiano Viana, 455 apto. 103 Bairro Pinheiros CEP 05411-000 São Paulo SP e-mail: cenes@usp.br ENES, C. C. ; PEGOLO, G. E. ; SILVA, M. V. Dietary habits of adolescents living in rural areas of the city of Piedade, state of São Paulo. Nutrire: rev. Soc. Bras. Alim. Nutr. = J. Brazilian Soc. Food Nutr. , São Paulo, SP, v. 33, n. 2, p. 99-110, ago. 2008.
Broadband Filtering High-Efficiency Doherty Amplifier Based on a Novel Post-Matching Network

In this paper, a broadband high-efficiency Doherty power amplifier (DPA) integrated bandpass filtering characteristic was proposed. The filtering characteristic of the proposed DPA is achieved by a post-matching network with filtering function and a wideband filtering power divider. The proposed novel post-matching network is composed of one coupled line and two microstrip stubs. Simulated results show that the proposed post-matching network can improve the IMD2 about 20dB compared with a low-pass post-matching network. The measurement results show that drain efficiencies of the proposed DPA at the saturation power level and 6-dB output back-off (OBO) are 60.1%-65.5% and 48%-53%, respectively, in the 2.2-2.6GHz band. Meanwhile, a good filtering performance was obtained. For lower and higher rejection bands, the suppression levels are greater than 29.2dB and 41.1dB, respectively. At an average output power of 37 dBm, the measured adjacent channel power ratios of 20MHz LTE signal are−51.8/-51.2dBc after digital predistortion.
Synchronous Oscillations Influenced by Synaptic Dynamics in Visual Cortical Column Model

The state of synchronizing oscillations in the cortex are related to the dynamics characteristics of synapses, and the precise dynamics of synapses maybe varying because the number of receptors with different dynamics is uncertain. In order to analysis the effect of synapses dynamics on the synchronization oscillations in the cortex, a cortical column model is presented based on the anatomy data of turtle’s visual cortex. Compared with the regular feed-forward network, this model could spontaneously produce synchronizing oscillations. The results shows that, when the fast-changed receptor is dominant in excitatory synapses, the oscillation’s synchronism decline but frequency increase, and the slow-changed receptor in inhibitory synapses has the similar effect. Moreover, a proper ration of two kinds of receptor could maximum the efficiency of information transmission. These findings are beneficial for us to understand the intrinsic mechanisms of synchronizing oscillations in brain.
Robust tracking control of uncertain nonholonomic wheeled mobile robot incorporating the actuator dynamics

In this paper, robust tracking control is studied for uncertain nonholonomic wheeled mobile robot (WMR) incorporating the actuator dynamics with unknown external disturbances. Using the radial basis function (RBF) NNs to approximate the unknown closed-loop system dynamics and adopting an adaptive sliding mode feedback term to compensate for the approximation errors as well as the external disturbances, a robust adaptive neural network controller is designed. The stability of the closed-loop system and the asymptotical convergence of tracking errors are proved via Lyapunov stability theory. Meanwhile, the convergence of NN weights is testified and the converged/constant weights can be recycled to reach stability and improve performance. Finally, simulations are presented to demonstrate the effectiveness of the proposed control scheme.
DC and Noise Analysis of Si and 3C-SiC based IMPATTs at W-Band

In this paper, an analysis has been made on IMPATT diodes based on Group IV-IV materials such as Silicon (Si) and 3C type Silicon Carbide (3C-SiC) operating at W-band (94GHz). A double iterative computer method based on the drift-diffusion model has been used to study the DC and noise properties of the device. It is observed that SiC (3C) based IMPATTs provide higher efficiency as well as higher output power than Si based IMPATTs. The Simulation studies also exhibit that Si based IMPATTs provide noise measure and NSD (Noise Spectral density) of around 38dB and 8×10-16 V2S respectively whereas SiC(3C) based IMPATTs provide noise measure and NSD(Noise Spectral density) of around 44dB and 5.5×10-15 V2S respectively at 94GHz.
Frequency Doubling Technique for Ring Oscillator Based VCO for Microwave Applications

Frequency multipliers are often used in the RF transmitter allowing the design of signal generators to run at a lower frequency with the advantage of the increased frequency tuning range and spectral purity. In this paper, we propose a frequency doubling technique for the ring oscillator based VCO using edge combining technique. An X-OR gate is used to implement the edge combiner taking advantage of π/N phase shifts occurring in the ring oscillator stages; N is the number of stages in the ring oscillator. An additional delay is added to one of the inputs to the edge combiner to generate a duty cycle of 50% for the doubled frequency. Dissipating a power of 8.329mW, implemented in 0. 18μm CMOS technology, the VCO with frequency doubler displays an operation with a frequency tuning range of 3.71GHz (68.4 MHz to 3.788GHz ) and a phase noise of -106.148dBc /Hz at 1MHz offset. The figure of merit (FoM) obtained is -169.379 dBc/Hz. Frequency doubling technique has increased the frequency tuning range from 1.869 GHz to 3.71 GHz.
Dietary practice and nutrient intake of students living in the college accommodation of Wollongong University

A study was conducted to investigate the dietary practices of university students living in one of the accommodation facilities in the University of Wollongong. A self-administered questionnaire was distributed to students at the Weerona College. The questionnaire was designed to collect information on demographic factors, the eating patterns of the students, their attitudes towards diet, the food services provided by the college and dietary intake using a 24-hour recall method. The survey was analysed using Statistical Package for the Social Sciences (SPSS) (Norusis, 1990) and the dietary recall information was processed with the Diet-1 (version 3) computer package (Xyris Software, 1988 1991). Highlights from the results were that breakfast was the most often skipped meal by the students (the mean frequency of eating breakfast per week was 5.5 times, ranging from 0 to 7 times per week). "Lack of quality of food " and "too busy" were the two main reasons for skipping meals. Water, fruit and chocolate were reported as the most common snacks, followed by fruit juice, soft drinks and biscuit / cakes. From the 24-hour dietary recall information, most of the students met the Australian Recommended Dietary Intakes (RDIs) for major nutrients. The mean intakes of protein, retinol, vitamin C, iron, zinc, potassium, calcium, phosphorus and magnesium were all over 100 percent of RDIs, with particularly high intakes of protein and vitamin C. Some of the participants had considerably low retinol and calcium intakes. In the main, the respondents were satisfied with the food service in the college accommodation. However, many students also expressed their concern about some aspects of the college food service, especially relating to some cooking ways. Recommendations have been made to the college such as lengthening the dinner time, alternating some cooking methods ( less deep fried foods ) and more fresh vegetables and fruits. Because the dietary intakes of the subjects in this study were mainly in line with the
Indoor Body-to-Body LoRa Link Characterization

This contribution examines the performance of LoRa in an indoor, body-centric IoT context. This was achieved by deploying custom-made wearable LoRa nodes, featuring a textile substrate-integrated-waveguide antenna, on the chests of test persons who walked around in a modern office environment, logging the strength of the link between them. Both the influence of the test person’s bodies as well as the challenging environment, which includes large masses of reinforced concrete, are investigated. The measured channel characterization data illustrate the excellent performance achieved by combining the building penetration qualities of signals at sub-GHz frequencies and the high link budget of the LoRa modulation standard.
Aerial Unstructured Road Segmentation Based on Deep Convolution Neural Network

Due to the irregular shape, the blurred edge of the road and the occlusion of obstacles on unstructured roads (rural roads, off-road), some networks that achieve good segmentation effect on structured road images have poor effect on unstructured road images. The segmentation of aerial unstructured roads can obtain information on ground objects and understand the development of the area. The use of deep convolutional neural networks to achieve semantic segmentation of roads has always been a hot research direction. In this paper, it is proposed a semantic segmentation network called RD-Net, which achieves road semantic segmentation. The network includes the reflection padding and the stack of “convolution + pooling” for feature extraction, the dilated residual transition unit to deepen the network and up-sampling for size restore. The proposed network is tested on aerial unstructured road datasets and compared it to other four state of the art deep learning-based road extraction networks. The proposed network performs well on the road segmentation task, and the segmentation accuracy has also improved. This shows that it is effective and available on unstructured road segmentation.
Single Image Reflection Removal Based on GAN With Gradient Constraint

When we take a picture through glass windows, the photographs are often degraded by undesired reflections. To separate reflection layer and background layer is an important problem for enhancing image quality. However, single-image reflection removal is a challenging process because of the ill-posed nature of the problem. In this paper, we propose a single-image reflection removal method based on generative adversarial networks. Our network is an end-to-end trained network with four types of losses. It includes pixel loss, feature loss, adversarial loss, and gradient constraint loss. We propose a novel gradient constraint loss in order to separate the background layer and the reflection layer clearly. Gradient constraint loss is applied in a gradient domain and it minimizes the correlation between the background and reflection layer. Owing to the novel loss and our new synthetic dataset, our reflection removal method outperforms state-of-the-art methods in PSNR and SSIM, especially in real world images.
Carbon-based terahertz zone plates

Carbon-based terahertz (THz) zone plates (TZP) are explored as silicon-substrate compatible solutions for compact optics components that can be implemented in THz imaging systems. Graphite and graphite composites TZP are investigated both theoretically and experimentally employing THz time domain spectroscopy (THz-TDS) and THz imaging technique in the range of 0.6 THz. Their spectral features and focusing performance are discussed and evaluated.
The Co-design between Fault-accommodation and Communication Saving for Nonlinear CPS based on Edge Computing

As there are some problems existing in the cyber physical system (CPS), for example, network resource wasting, computing resource wasting and component failure, the co-design problem between fault-accommodation and communication saving is studied in this paper based on the idea of edge computing. Firstly, the idea of edge computing is introduced into CPS. The estimation work of system state and failure information are completed in the smart sensor which is in the edge of CPS network, and the work of transmission data filtering was also completed in the smart sensor. Secondly, the failure estimation method with $H_{\infty}$-performance was derived based on Lyapunov theory, and the co-design method between failure accommodation and communication resource saving was proposed based on the failure estimation value. Finally, the effectiveness of failure estimation method and co-design method are verified based on the simulation example.
Analysis of Semi-Blind Channel Estimation in Multiuser Massive MIMO Systems With Perturbations

In the massive multiple-input multiple-output (MIMO) systems, pilot contamination and signal perturbation are two important issues in the semi-blind channel estimation methods. To evaluate the effects of pilot contamination and signal perturbation, the covariance matrix of the received signal should be obtained. In specific, the eigenvectors associated with the $K$ largest eigenvalues of the ideal covariance matrix, contain the subspace information of the desired signals, in which the interference and partial noise are eliminated because of asymptotic orthogonality of the fading matrix. Since it is quite difficult to acquire the ideal covariance matrix, the sample covariance matrix calculated by the finite data samples is adopted to approximate the ideal covariance matrix in practice. However, the gap between the ideal covariance matrix and the sample covariance matrix leads to signal perturbation. In this paper, the perturbation analysis of a semi-blind channel estimation in the massive MIMO systems is presented. Simulation results verify the validity of our perturbation analysis. Furthermore, it is demonstrated by simulations that signal perturbation affects system performance by reshaping the eigenvectors and eigenvalue distributions of the target cell and interfering cells.
Research on Feature Mining Algorithm Based on Product Reviews

With the development of Internet and e-commerce, many product reviews have become an important source for collecting user opinions and improving product quality. The result of feature extraction is the basis of text sentiment analysis, which directly affects the accuracy of data mining results. In text feature extraction, the mutual information method has become an important text feature selection method with its low time complexity. However, the method does not consider the difference of the feature terms in frequency, nor does it consider the difference of the distribution of feature items in the same category, and because the candidate feature matrix is too large, its accuracy in practical applications is low, and the effect is poor. It takes a long time. Therefore, this paper firstly performs feature reduction by TF-IDF method, and then based on mutual information method, by introducing relative word frequency factor and combining the weight of feature items, the mining process is adaptively improved, which makes the frequency information of feature items effectively used in mutual information model, and the shortcomings of the mutual information model in text feature selection are reasonably improved. In turn, the accuracy of the algorithm is improved, making it more efficient for feature selection. The experimental results show that the optimization algorithm has better feature selection than the traditional mutual information feature mining algorithm.
Multi Mask Learning of Stone Segmentation for Auto-Monitoring System in TBM Construction

The tunnel boring machine (TBM) control parameters are usually hard to measure due to the complexity of geological structure and dynamic model of TBM. In order to improve the TBM operation performance, the information of the rock particles can be given back to the TBM driver. In this paper, the size distribution of produced rock particles during tunnelling is chosen as an index. However, as detecting the sizes of rock particles in our task is quite difficult, semantic segmentation technique in deep learning is applied to solve the problem. A new dataset with annotation tools is first taken, then two semantic segmentation networks are trained to extract rock object mask and rock contour mask, separately. Finally, two masks are mixed to get the prediction of rock area. The results show that the proposed method is effective and has good performance.
Interval Error Observer-based Active Fault Tolerant Control for LPV Systems of the Aero-Engines

In this paper, an interval error observer-based active fault tolerant control strategy is presented for an aero-engine control system affected by actuator faults and unknown disturbances. First, the aero-engine is described as a linear parameter varying (LPV) representation. Then, an interval error observer-based model reference control strategy is developed composed of feedforward and feedback actions. When the multiplicative actuator faults appear, an active fault tolerant method is proposed based on a reconfiguration of the reference model state and the addition of a virtual actuator block. Both of the reference model control and the virtual actuator technique are extended to an interval formulation to cooperate the estimation error dynamics and boundedness of the interval signals both in nominal and faulty situation. The stability of the control system is also conserved by the Lyapunov functions and input-to-state stability theory. The advantage of this FTC method is that during the reconfiguration procedure, the nominal error feedback controller can still be efficient without retuning its parameter by using of the estimated bounds between the real state and the reference state through the internal observer. Simulation results of an aero-engine system under actuator fault and disturbances verified the effectiveness of the proposed method.
A Multi Band Planar Inverted-F Antenna with Meandered Slots for Mobile Applications

In this paper, an Octa-band antenna combining a Planar Inverted-F Antenna (PIFA) and multiple slots on a ground plane for mobile handset applications is presented. The proposed antenna has simple and flat structure that eases the fabrication process. Three slots on the top layer of the antenna substrate are introduced to achieve increased bandwidth and gain characteristics. The proposed structure consists of meander line which makes the antenna to cover the following bands DCS 1800 (1740-1870 MHz), UMTS (1.7-1.87GHz), PCS (1850-1879MHz), Wi-Bro(2.24-2.32GHz), WiMAX (3.50-3.61GHz), Wi-Fi 5GHz (5.21-5.37GHz), WLAN (5.39-5.47GHz) and (7.03-7.93GHz). A stable and omnidirectional radiation patterns are obtained with reasonable gains in the range of 2dB-9dB within different operating bands. Reflection coefficient, VSWR and Radiation patterns are obtained and compared with the values without meander line to show the advantages of multiple bands on PIFA. Ansys HFSS CAD tool has been used for simulations and the results are presented.
Strong terahertz electromagnetic wave generation due to intense laser-plasma interaction mechanisms

Strong THz waves have a wide range of applications. Laser – plasma interaction has advantages over other methods because of high power THz generation. We report on theoretical and numerical investigations of three different mechanisms of THz pulse generation from the laser-plasma sources. We have identified the most effective mechanism of THz pulse generation and quantitatively characterized its properties.
Smoking - Hazardous to our health: ‘an overview’

The word of smoking, drinking smoke is very famous all over the globe. The practice of Dhumrapana is common in human beings from the last two thousand year’sto induce consciousness. Soon, the recreational use of tobacco became a part of the elite culture throughout the world and shows remarkable value in large scale productivity (multibillion dollar business)[1]. Botanically, tobacco is achieved from the dried leaves of Nicotiana tobacumLinn (var.macrophyll, N. chinensis Fisch), commercially cultivated on small scale to large extent in China, United States and India. The tobacco contains pyridine-piperidine type of alkaloids, among which the most prominent is nicotine. Nicotine, well known as natural botanical insecticide weighs 0.6-3.0% of dried leaves which is synthesized in roots and accumulated in the leaves. Smoking was practicedby early priests to diagnose, heal the bizarre persons and to fend off evil spirits. As time passes, smoking tobacco becomes more than just a ritualistic comportment. However, the pattern has now been endorsed to the growing numbers of ailments, birth defects, and deaths. Worldwide, approximate 4.9 million and alone in United State (US), smoking is the reason for 434,000 deaths per year [2] and every day14,000 peoples die because of smoking-related diseases. Today, medical studies have proven that smoking tobacco is among the leading sources of lung cancer, heart attacks, chronic obstructive pulmonary disease (COPD), and erectile dysfunction and can also lead to teratogenic effect. Moreover, active smokers are not the only ones in severe danger but people lives around them, bystander’s or passive smoker affected much more accumulating the health-related effect brought about by the emitted dangerous chemicals (smoke) from a cigar or cigarettes. In fact, 33 percent of the nonsmoker population in the US is exposed with environmental cocktail of tobacco smoke [3].
Continuum Generation in Higher-Order Modes of Photonic Crystal Fibers

Low-noise supercontinuum (SC) generation in photonic crystal fibers (PCFs) can be achieved by using pump pulses of femtosecond (fs) duration and low soliton numbers [1]. The small cores sizes needed to obtain anomalous dispersion for pump wavelengths in the Yb gain band (typically 1030–1070 nm) implies a severe restriction on power for such pump pulses. One possible strategy for power scaling is to pump in higher-order fiber modes, which can attain the desired dispersion properties in larger cores. This contribution aims to explore the properties of such continua, in particular the conditions necessary to retain a single-mode character of the output.
Digital Predistortion Technique for 5G Massive MIMO Transmitters

In this paper, a novel digital predistortion (DPD) technique is proposed to linearize the target beam interfered with other beams in the multi-beam scenario of 5G massive multiple-input multiple-output (mMIMO) transmitters. It is achieved by modeling the interference signal first and then construct an exactly opposite signal added to predistorted signal to cancel it. The measurement results have shown that the proposed method can effectively realize the target beam linearization, providing a promising solution for multi-user applications in 5G mMIMO wireless systems.
Robust Gain-Scheduling Control for Type 1 Diabetes Model with External Disturbance

We present a novel robust gain-scheduling control method for a type 1 diabetes model with external disturbance. Firstly, a type 1 diabetes glucose-insulin dynamics model is transformed into a continuous-time system with input saturation and external disturbance. Secondly, the robust gain-scheduling controllers are provided to ensure asymptotic stability of the closed-loop system, and the control gains can be easily obtained by solving several linear matrix inequalities (LMIs). Thirdly, the effectiveness of the proposed approach is illustrated by mean of a numerical example. The robust gain-scheduling control approach proposed in this paper can be used to control normal blood glucose levels.
20-vane Unstrapped 8-mm Magnetron Operation in Non-π-type Mode

We report 20-vane-resonator unstrapped S-mm (37.5 GHz) magnetron under development at IRE NAS of Ukraine. The device is supposed to operate in the “-1” spatial harmonic. In order to provide better modes separation, a non-$\pi$-type mode is chosen as the operating one. Results of numerical modelling and experimental investigations of anode slow wave structure (anode block) for $\pi$/2-type mode are presented and discussed.