Miracle-dz/UniFAR-FTUs huggingface dataset:
Radio-over-fiber quintuple-play service provision for deep fiber-to-the-home passive networks

This paper proposes the provision of quintuple-play services (high-speed wired data, voice, high-definition audio and video, wireless data and security and domotic applications) employing only orthogonal frequency division multiplexing (OFDM)-based radio-over-fiber (RoF) optical transmission in a deep fiber-to-the-home (FTTH) passive optical network. The different wireless signals form a RoF bundle comprising DVB-T signals for TV broadcasting, an LTE signal for voice, a WiMAX signal for wireless data supporting management and home security applications, and UWB for high definition audio and video distribution. An I/Q OFDM signal is also included in the bundle providing wired Gigabit Ethernet (GbE) connectivity.
Synthesis and characterization of hierarchically porous silica with poplar tissue as template with assistance of supercritical CO2

Hierarchically porous silica samples, ranging from mesopores to macropores, were prepared by “nanoscale casting using supercritical (SC) fluids” (NC-SCF) technology and bionics, achieving a biomineralization process in an environmentally friendly and efficient way. These wood-templated SiO2 samples, having special hierarchical pore sizes from 3.3 nm up to 50 μm, were obtained with SC-CO2 precursor solution by a wood-silication method. For this method, the precursor, tetraethyl orthosilicate (TEOS), was dissolved in SC-CO2 and impregnated into poplar tissue cells using SC-CO2 as a mass carrier. After removal of the wood template by calcination in air at suitable temperatures, the porous silica was obtained. The effects of CO2 pressure and precursor concentration on the impregnating ratio were studied, and the products were characterized. SEM experimental results showed that the obtained silica had the same external and internal structures of the original wood. XRD and N2 absorption-desorption results indicated that the silica was amorphous but crystallized with the calcination temperature up to 1000 oC, and had a preferable BET surface area being up to 469 m2/g (600 oC). So this work provides a simple and timesaving route to obtain and control the special microstructure of silica with the aid of a wood template in supercritical CO2.
Visual based fall detection with reduced complexity horprasert segmentation using superpixel

Apart from wearable sensors and floor sensors, remote fall detection systems can be realized using camera sensors and computer visions methods and this visual based system is accurate, non-intrusive and capable to perform post fall event analysis with the recorded video. To implement visual based fall detection, the foreground segmentation process is crucial in order to provide the right foreground region with useful features for fall detection and analysis. However, in an indoor environment, change of global illumination, shadow occurrence and colour camouflage tend to occur and affect the performance of foreground extraction. Existing techniques attempted to overcome these issues are compromised with higher computational complexity and longer processing speed. Thus, an approach of using Horprasert algorithm incorporating superpixel clustering is proposed to perform background modeling and background segmentation. The foreground extracted by the proposed method is then tested against two different fall detection methods, using bounding box and motion quantification with approximated ellipse. The result has shown reduction in complexity and improvement in processing speed, without much disparity compared to the original Horprasert segmentation.
International Conference on High Performance Cutting , HPC 2014 Comparing the Performance of Diamond Coated and Uncoated Micro End Mills using Robustness Testing

The objective of this work is to compare the performance of uncoated micro end mills with micro end mills coated using various pretreatments and diamond coatings. Testing is conducted with 300-um-diameter, two-flute, carbide end mills cutting full-width slots in 6061-T6 aluminum. The comparison of these tools is conducted with a robustness test where the feed rate of the tool is increased every 5 mm of linear travel until catastrophic tool failure occurs. The outcomes from these tests are the maximum chipload, therefore material removal rate, and the maximum force experienced by the tool. It has been determined that tools pretreated with an acid etch have a statistically lower maximum chipload than as-received tools. However, all other pretreatments and as-received tools had statistically equivalent maximum chiploads. Further improvements in the robustness testing method are needed to reduce data scatter and better test for differences in the tool coating methods. © 2014 The Authors. Published by Elsevier B.V. Selection and peer review under responsibility of the International Scientific Committee of the 6th CIRP International Conference on High P rformance Cutting.
Watching videos from everywhere: a study of the PPTV mobile VoD system

In this paper, we examine mobile users' behavior and their corresponding video viewing patterns from logs extracted from the servers of a large scale VoD system. We focus on the analysis of the main discrepancies that might exist when users access the VoD system catalog from WiFi or 3G connections. We also study factors that might impact mobile users' interests and video popularity. The users' behavior exhibits strong daily and weekly patterns, with mobile users' interests being surprisingly spread across almost all categories and video lengths, independently of the connection type. However, by examining the activity of users individually, we observed a concentration of interests and peculiar access patterns, which allows to classify the users and thus better predict their behavior. We also find a skewed video popularity distribution and then demonstrate that the popularity of a video can be predicted using its very early popularity level. We further analyzed the sources of video viewing and found that even if search engines are the dominant sources for a majority of videos, they represent less than 10% (resp. 20%) of the sources for the highly popular videos in 3G (resp. WiFi) network. We report that both the type of connections and mobile devices in use have an impact on the viewing time and the source of viewing. Based on our findings, we provide insights and recommendations that can be used to design intelligent mobile VoD systems and help improving personalized services on these platforms.
Microfluidic device on a nonwoven fabric: A potential biosensor for lactate detection

In the present study, a novel, wearable textile based microfluidic device was developed that provides a non-invasive, rapid, semi-quantitative detection of the lactate level in simulated sweat solution. The potential application was envisioned to be a biosensor that can monitor an athlete’s physical status during exercise. A photolithography technique was used for the fabrication of hydrophilic micro channels and reservoirs surrounded by hydrophobic barriers made from SU-8 negative photoresist. The reservoirs were functionalized by co-immobilization of lactate oxidase (LOX) and horseradish peroxidase (POX) enzymes. LOX uses L-(+)-Lactic acid as substrate and produces H2O2 which is a POX substrate. Then, POX oxidases H2O2 in the presence of 2,2′-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) diammonium salt (ABTS) and results in color formation. The studies showed that excess amount of analyte presence resulted in analyte inhibition. It was also shown that analyte pH and temperature were effective on the color formation. For effective results, analyte pH and temperature should be ≥5℃ and 25–30℃, respectively. Lower pH and higher temperature values resulted in a decrease in the enzyme activity. The textile based biosensor system could make a semi-quantitative visual detection to differentiate between the normal (<5 mM) and high (≥5 mM) lactate level: while a high lactate level led to a denser purple color formation, normal levels led to a light purple formation and a green color started to be observed.
A Multiplicative and Constant Modulus Signal Based Network Coding Method Applied to CB-Relaying

In this paper, a new and simple arithmetic operation for network coding (NC) in wireless communication is proposed. It is built on the assumption of constant modulus signals with phase conveyed information such as PSK and employs, in contrast to classical NC finite field additions, a multiplicative NC operation. The benefit of the method is that it decouples the NC operation from forward error correction (FEC) and modulation imposed joint constraints and thus permits for greater flexibility to adapt code and modulation rates to different user. It may further reduce hardware (HW) complexity and cost for NC enabled relays and it may operate directly on (potentially noisy) baseband signals. The performance of the proposed NC method is examined in a three phase NC bi-directional relaying scenario and compared to a traditional four phase non-NC scheme illustrating performance benefits in the high signal to noise (SNR) region and its viability for the former.
Eye gesture recognition on portable devices

Hand-held portable devices have received only little attention as a platform in the eye tracking community so far. This is mainly due to their -- until recently -- limited sensing capabilities and processing power. In this work-in-progress paper we present the first prototype eye gesture recognition system for portable devices that does not require any additional equipment. The system combines techniques from image processing, computer vision and pattern recognition to detect eye gestures in the video recorded using the built-in front-facing camera. In a five-participant user study we show that our prototype can recognise four different continuous eye gestures in near real-time with an average accuracy of 60% on an Android-based smartphone (17.6% false positives) and 67.3% on a laptop (5.9% false positives). This initial result is promising and underlines the potential of eye tracking and eye-based interaction on portable devices.
Multi-label categorizing local event information from micro-blogs

Micro-blog service Twitter holds innumerable userposted short messages called tweets that cover various topics including local events. We proposed a method to extract a mount of various local event information using natural language processing from Twitter. This paper describes a method to extract event information and label categories such as music or culture to them. Our proposal is composed of two steps: 1) extract local event information from tweets related to local event by the Support Vector Machine and Conditional Random Fields approach. 2) label categories by combining the output from classifiers of each event category. We implement the proposed method in three ways that consist of keyword matching designed by hand, machine learning and hybrid of them. Besides, we evaluate classification performance using typical five kinds of event categories. As a result, we confirmed the method of the hybrid has highest average F-score 0.674 in the methods.
Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding

Representing and modeling the motion and spatial support of multiple objects and surfaces from motion video sequences is an important intermediate step towards dynamic image understanding. One such representation, called layered representation, has recently been proposed. Although a number of algorithms have been developed for computing these representations, there has not been a consolidated effort into developing a precise mathematical formulation of the problem. This paper presents one such formulation based on maximum likelihood estimation (MLE) of mixture models and the minimum description length (MDL) encoding principle. The three major issues in layered motion representation are: (i) how many motion models adequately describe image motion, (ii) what are the motion model parameters, and (iii) what is the spatial support layer for each motion model. <<ETX>>
Micro electrochemical sinking and milling method for generation of micro features

Micro features are generated on SS-304 stainless steel by electrochemical micromachining. This research aims at the development of best method of micro profile generation for micro components based on electrochemical micromachining in terms of reduced taper angle, overcut, edge deviation and time of machining using cylindrical micro tool. Sinking and milling method is a new approach to microchannel generation, where a micro tool moves vertically to final depth or required depth of machined feature followed by milling along the path of the micro features. The experimental study of process parameters such as pulse frequency of applied voltage, electrolyte concentration, pulse width, micro tool feed rate, machining time and depth of sinking by micro tool is conducted for the investigation and comparative analysis of their effects on material dissolution during micro profile generation utilizing scanning layer-by-layer method as well as sinking and milling method. Machining zone has been simulated in two positions of micro tool, and it has been established that taper less through microchannels can be generated by the scanning method and the sinking and milling method. Complex taper less micro features such as channel net, “U” shape and “S” shape were machined. Micro profile of narrow entry width of 32 µm was machined on 50-µm-thick SS-304 sheet. Very narrow micro profile of 23 µm was also machined on 35-µm-thick SS-304 sheet by the fabricated micro tool of ϕ = 8 µm utilizing the new approach of sinking and milling in electrochemical micromachining.
On-site Learning

A model for on-site learning is presented. The system learns by querying \hard" patterns while classifying \easy" ones. This model is related to query-based ltering methods, but takes into account that in addition to labelling, ltering through the data has a cost. A few simple policies are introduced and analyzed for a simple problem (1D high low game). In addition the Query-by-Committee algorithm (Seung et. al) is suggested as a good approximator of the model space for real-world domains. Results using this algorithm on a synthesized problem and a real-world OCR task using both a back-propagation network and a nearest neighbor classiier show that an on-site learner can perform as well as a classiier trained oo-site, while achieving signiicant cost reduction.
Simple construction of quantum universal variable-length source coding

This paper describes the construction of a quantum universal variable-length source code in which, independent of information source, both of the average error and the probability that the coding rate is greater than the entropy rate H(/spl rho/~/sub p/), tend to 0. If H(/spl rho/~/sub p/) is estimated, and compress the coding rate to the admissible rate H(/spl rho/~/sub p/) with a probability close to 1. However, when we perform a naive measurement for the estimation of H(/spl rho/~/sub p/), the input state is demolished. By smearing the measurement, we successfully treat the trade-off between the estimation of H(/spl rho/~/sub p/) and the nondemolition of the input state. Our protocol can be used not only for the Schumacher's compression but also for the compression of entangled states.
Stiffness variations in granular jamming robots; an experimental method

One of the most challenging issues of granular jamming robots is both predicting and measuring the stiffness variations which are a direct function of elastic module. In this regard, in previous researches, it had demonstrated that the elastic module of robot's bulk is a fundamental function of vacuum pressure and must be acquired by experimental tests. However, there was not a unique formulation for both computing and predicting the accurate elastic module in each unique amount of vacuum pressure. Therefore, in this paper, for addressing the problem, the elastic module of jammable segments is calculated in each considered vacuum pressure and we have introduced a both simple and beneficial formulation to predict the amounts of stiffness based on variations of vacuum pressure. The proposed procedure was examined by performing an experimental test as well. On the other hand, the necessity of identifying organic material was felt due to introduction of just one organic granular material in previous researches for applying. Hence, four new organic granular materials were selected and also tested. Consequently, a usable blend of two of them was presented which was mixed of black Pepper seeds and Datura grains. This blend had a lightweight construction with high ratio of strength under external forces, therefore, it can be applied when a both high-strength and lightweight jammable structure in robotics is required.
OneG: A Computational Tool for Predicting Cryptic Intermediates in the Unfolding Kinetics of Proteins under Native Conditions

Understanding the relationships between conformations of proteins and their stabilities is one key to address the protein folding paradigm. The free energy change (ΔG) of unfolding reactions of proteins is measured by traditional denaturation methods and native hydrogen-deuterium (H/D) exchange methods. However, the free energy of unfolding (ΔGU) and the free energy of exchange (ΔGHX) of proteins are not in good agreement, though the experimental conditions of both methods are well matching to each other. The anomaly is due to any one or combinations of the following reasons: (i) effects of cis-trans proline isomerisation under equilibrium unfolding reactions of proteins (ii) inappropriateness in accounting the baselines of melting curves (iii) presence of cryptic intermediates, which may elude the melting curve analysis and (iv) existence of higher energy metastable states in the H/D exchange reactions of proteins. Herein, we have developed a novel computational tool, OneG, which accounts the discrepancy between ΔGU and ΔGHX of proteins by systematically accounting all the four factors mentioned above. The program is fully automated and requires four inputs: three-dimensional structures of proteins, ΔGU, ΔGU * and residue-specific ΔGHX determined under EX2-exchange conditions in the absence of denaturants. The robustness of the program has been validated using experimental data available for proteins such as cytochrome c and apocytochrome b562 and the data analyses revealed that cryptic intermediates of the proteins detected by the experimental methods and the cryptic intermediates predicted by the OneG for those proteins were in good agreement. Furthermore, using OneG, we have shown possible existence of cryptic intermediates and metastable states in the unfolding pathways of cardiotoxin III and cobrotoxin, respectively, which are homologous proteins. The unique application of the program to map the unfolding pathways of proteins under native conditions have been brought into fore and the program is publicly available at http://sblab.sastra. edu/oneg.html
Visual Vocabulary Signature for 3D Object Retrieval and Partial Matching

In this paper a novel object signature is proposed for 3D object retrieval and partial matching. A part-based representation is obtained by partitioning the objects into subparts and by characterizing each segment with different geometric descriptors. Therefore, a Bag ofWords framework is introduced by clustering properly such descriptors in order to define the so called 3D visual vocabulary. In this fashion, the object signature is defined as a histogram of 3D visual word occurrences. Several examples on the [email protected] watertight dataset demonstrate the versatility of the proposed method in matching either 3D objects with articulated shape changes or partially occluded or compound objects. In particular, a comparison with the methods that participated to the Shape Retrieval contest 2007 (SHREC) reports satisfactory results for both object retrieval and partial matching.
Graphene/polymer composites for energy applications

Graphene has wide potential applications in energy-related systems, mainly because of its unique atom-thick two-dimensional structure, high electrical or thermal conductivity, optical transparency, great mechanical strength, inherent flexibility, and huge specific surface area. For this purpose, graphene materials are frequently blended with polymers to form composites, especially when fabricating flexible devices. Graphene/polymer composites have been explored as electrodes of supercapacitors or lithium ion batteries, counter electrodes of dye-sensitized solar cells, transparent conducting electrodes and active layers of organic solar cells, catalytic electrodes, and polymer electrolyte membranes of fuel cells. In this review, we summarize the recent advances on the synthesis and applications of graphene/polymer composites for energy applications. The challenges and prospects in this field have also been discussed. © 2012 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys, 2013
The Use of "I".

Deposteron, bibliográfica, MEDLINE, Scielo (BVS), Os iniciais indicam que supra fisiológicas e poli farmacológicas de esteróides anabólicos androgênicos induzem efeitos colaterais fisiológicos e psicológicos de gravidade dependo da dose. Conclui-se que as consequências de uso prolongado de EAA, assim como o seu papel na gênese de certos tipos de câncer, permanecem pouco compreendidas, mas muitos efeitos colaterais fisiológicos e psicológicos são descritos na literatura. Dessa forma, faz-se necessário acompanhamento especializado do uso desses medicamentos sob risco desses fatores tornarem-se um problema de saúde pública. Abstract The study addresses the aspects surrounding Anabolic Androgenic Steroids (AAS) medications to improve appearance and performance, as these are most often used by men to improve appearance, increase muscle mass or athletic performance, highlight- the effects of drugs such as Deposteron, Sustanon and Deca-Durabolin will be seen. To analyze the health risks of the use of anabolic steroids used for aesthetic purposes. To achieve the objectives, the deductive method will be used, as a methodology the bibliographic research, with exploratory purposes having as source of data articles, theses and dissertations from online databases PUBMED, MEDLINE, Scielo and Virtual Health Library (BVS), published between 2014 to 2022. Initial studies indicate that supraphysiological and polypharmacological doses of anabolic androgenic steroids induce dose-dependent physiological and psychological side effects. It is concluded that the consequences of prolonged use of AAS, as well as its role in the genesis of certain types of cancer, remain poorly understood, but many physiological and psychological side effects are described in the literature. Thus, specialized monitoring of the use of these drugs is necessary at the risk of these factors becoming a public health problem.