Miracle-dz/UniFAR-FTUs huggingface dataset:
TECHNOLOGICAL MANAGEMENT APPLIED IN IRRADIATION OF FOODSTUFF

This paper presents research that is focused on technology management applied to the technical and economic viability for the installation of a multipurpose irradiator in Vale do Ribeira (Sao Paulo state). The regional characteristics and the emergence of irradiation techniques applied to the food industry together with concepts of technology management are included. The methodology uses bibliographical, qualitative and quantitative research, with analysis supported by statistical and economic techniques. The research concludes that the introduction of irradiating foodstuff is technically and economically viable and recommended that more studies about banana irradiation and Brazilian consumer acceptance to irradiated food is carried out.
1-1-1 MASH ∆ Σ Time-to-Digital Converters with 6 ps Resolution and Third-Order Noise-Shaping

Two 1-1-1 MASH ∆Σ Time-to-Digital converters (TDCs) are presented in this paper. Third-order time domain noise-shaping has been adopted by the TDCs to achieve better than 6 ps resolution. Following a detailed analysis of the noise generation and propagation in the MASH ∆Σ structure, the first prototyping TDC has been realized in 0.13 μm CMOS technology. It achieves an ENOB of 11 bits and consumes 1.7 mW from a 1.2 V supply. In the second MASH TDC, a delay-line assisted calibration technique is introduced to mitigate the phase skew caused by the large comparator delay, which is the main limiting factor of the MASH TDC’s resolution. The demonstrated TDC achieves an ENOB of 13 bits and a wide input range of 100 ns. This TDC shows a temperature coefficient of 176 ppm◦C within a temperature range of -20 to 120 ◦C. It consumes only 0.7 mW and occupies 0.08 mm area (core).
Customer Fulfillment and Revisit Intention Antecedent of Atmospheric in Chinese Muslim Restaurants

The intensely aggressive nature's domain existing in the restaurant division makes it fundamental to organizations with attain client fulfillment so as should survive in the long expression. Acquiring customer fulfillment implies that they turned a viable and effective correspondence resource, toward no cosset of the firm. Unmistakable around the elements that determine the levels from claiming customer fulfillment in the sustenance in food and drink contexts a standout amongst it is an atmospheric. Nowadays, Chinese food may be turning into that's only the tip of the iceberg alluring and acknowledged overall. Because of the expansive number about Chinese Muslims in Malaysia, restaurants catered or possessed by Chinese Muslims need aid presently expanding and cook at many races in Malaysia. Therefore, the goal of the research is to recognize those relationships between atmospheric towards customer fulfillment and gaining entrance to return to intentions for 9 Chinese Muslim restaurants for Shah Alam, Malaysia. The questionnaire was tested for reliability before being used. Correlation and regression analysis were employed to investigate the relationship between atmospheric, customer satisfaction and revisit intentions to these restaurants. The discoveries about this study show that atmospheric have a critical relationship with respect to customer fulfillment and accordingly have a huge relationship towards return to proposition. Previously, conclusion, it might have been found that every one customer was fulfilled by these restaurants and eager to suggest Chinese Muslim restaurants to their relatives and companions and they were additionally eager to return to this kind for restaurant
Evaluation of a low-cost multithreading approach solution for an embedded system based on Arduino with pseudo-threads Conference Paper

Although projects using Arduino boards are becomingmore and more common due to their simplicity, low cost,and a variety of applications, Arduino boards consist of a simpleprocessor that does not allow the execution of threads. This paperpresents a study and evaluation of multithreading approacheson a single Arduino board. We present a group of existingsoftware approaches for dealing with concurrent actions onArduino. Among the solutions presented, we propose a case studyusing timed interrupts due to their simplicity. Although the casestudy provided requires dealing with many actions concurrently,including external actions, timed interrupts showed to be a robustsolution to the problem. Furthermore, the evaluated approachpresented great potential for being applied and implementedcommercially at low cost. Evaluation of a low-cost multithreading approach solution for an embedded system based on Arduino with pseudo-threads
TaintMan: An ART-Compatible Dynamic Taint Analysis Framework on Unmodified and Non-Rooted Android Devices

Dynamic taint analysis (DTA), as a mainstream information flow tracking technique, has been widely used in mobile security. On the Android platform, the existing DTA approaches are typically implemented by instrumenting the Dalvik virtual machine (DVM) interpreter or the Android emulator with taint enforcement code. The most prominent problem of the interpreter-based approaches is that they cannot work in the new Android RunTime (ART) environment introduced since the 5.0 release. For the emulator-based approaches, the most prominent problem is that they cannot be deployed on real devices. In addition, almost all the existing Android DTA approaches only concern the explicit information flow caused by data dependence, while completely ignore the impact of implicit information flow caused by control dependence. These problems limit their adoption in the latest Android system and make them ineffective in detecting the state-of-the-art malware whose privacy-breaching behaviors are inactivated in the analyzed environment (e.g., the emulator) or conducted via implicit information flow. In this paper, we present TaintMan, an ART-compatible DTA framework that can be deployed on unmodified and non-rooted Android devices. In TaintMan, the taint enforcement code is statically instrumented into both the target application and the system class libraries to track data flow and common control flow. A specially designed execution environment reconstruction technique, named reference hijacking, is proposed to force the target application to reference the instrumented system class libraries. By enforcing on-demand instrumentation and on-demand tracking, the performance overhead is significantly reduced. We have developed TaintMan and deployed it on two popular stock smartphones (HTC One S equipped with Android-4.0 and Motorola MOTO G equipped with Android-5.0). The evaluation with malware samples and real-world applications shows that TaintMan can effectively detect privacy leakage behaviors with an acceptable performance overhead.
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions

While the keypoint-based maps created by sparse monocular Simultaneous Localisation and Mapping (SLAM) systems are useful for camera tracking, dense 3D reconstructions may be desired for many robotic tasks. Solutions involving depth cameras are limited in range and to indoor spaces, and dense reconstruction systems based on minimising the photometric error between frames are typically poorly constrained and suffer from scale ambiguity. To address these issues, we propose a 3D reconstruction system that leverages the output of a Convolutional Neural Network (CNN) to produce fully dense depth maps for keyframes that include metric scale. Our system, DeepFusion, is capable of producing real-time dense reconstructions on a GPU. It fuses the output of a semi-dense multiview stereo algorithm with the depth and gradient predictions of a CNN in a probabilistic fashion, using learned uncertainties produced by the network. While the network only needs to be run once per keyframe, we are able to optimise for the depth map with each new frame so as to constantly make use of new geometric constraints. Based on its performance on synthetic and real world datasets, we demonstrate that DeepFusion is capable of performing at least as well as other comparable systems.
EFFEcT oF 13 WEEKS oF MILITARY EXERcISE TRAINING oN THE BoDY coMPoSITIoN AND PHYSIcAL PERFoRMANcE oF ESPcEX STUDENTS

Introduction: Armies from all over the world acknowledge the importance of good physical fitness for the performance of military duties. The Military Exercise Training (MET) attempts to provide assistance to this search for better physical fitness and performance. Objective: To verify the effect on the body composition and physical performance of the students at EsPCEx (Military Academy Preparatory School) after 13 weeks of MET. Methods: The sample was composed of 287 male students from the EsPCEx, whose average age was 18.33 ±1.26. Such students accomplished a boarding school routine, having defined schedules, meals and activities from which they were only released during the weekends. The MET was accomplished five days a week and it comprised both aerobic and resistance training. Measurement of body mass, height, skinfold (triceps, abdominal and suprailiac) was accomplished during pre and post training periods, and the following tests were performed: 12-minutes-run, oblique sit up, arm push up and pull up. Fat percentage, fat-free body mass and fat body mass were calculated using the anthropometric data based on the Guedes 3 skinfold protocol. results: Significant reduction in fat body mass, fat percentage and in triceptal and abdominal skinfold, as well as increase in suprailiac skinfold and fat-free body mass was observed when anthropometric and body composition data were compared, during the initial and the final periods of training. Significant improvement also occurred in all performed physical tests, in which better performance was achieved. Conclusion: The acquired data suggest that performance of MET 5 days a week brought significantly improved body composition as well as physical performance.
Application of localization models for vertical phantom sources

Localization of real sound sources in the horizontal plane is well studied, and the use of inter-aural level and time differences (ILD and ITD) as localization cues is proved. For localization in vertical planes and especially in the median plane, such cues are lacking or completely absent. Nevertheless, the localization of real sound sources is possible and other cues such as spectral properties play an important role in contrast to inter-aural differences. Previous studies showed that spectral properties are mainly caused by the pinna, which causes spectral coloration above 4kHz [5]. Based on this, localization models for median plane were developed and tested. The principle of all models is the same: The spectral coloration of an incoming sound with known spectrum is compared with a database of head-related transfer functions (HRTFs) in order to find the most similar ones. The directions thereof estimate the localization. Listening experiments verify that this localization mechanism is not as accurate as horizontal localization [3].
Deep CNNs for Object Detection Using Passive Millimeter Sensors

Passive millimeter wave images (PMMWIs) can be used to detect and localize objects concealed under clothing. Unfortunately, the quality of the acquired images and the unknown position, shape, and size of the hidden objects render these tasks challenging. In this paper, we discuss a deep learning approach to this detection/localization problem. The effect of the nonstationary acquisition noise on different architectures is analyzed and discussed. A comparison with shallow architectures is also presented. The achieved detection accuracy defines a new state of the art in object detection on PMMWIs. The low computational training and testing costs of the solution allow its use in real-time applications.
Graft copolymerization of methacryloyloxyethyl trimethyl ammonium chloride monomer onto polyamide 66 fibres

Graft copolymerisation of methacryloyloxyethyl trimethyl ammonium chloride monomer {H2C=C(CH3)CO2CH2CH2N(CH3)3Cl} (METAC) onto polyamide knitted fabrics using sodium persulfate as initiator has been investigated. The contents of METAC (quaternary ammonium groups) on polyamide fabrics are extremely valuable for further surface modifications (dyeing, printing, etc.). The effect of factors that may affect the grafting yield, such as monomer concentration, initiator concentration, temperature, and reaction time, have been examined. Suitable conditions that give the highest graft yield are reported. The impact of graft modification on the fibres is evaluated by several techniques: elementary analysis, thermogravimetric analysis, FTIR spectroscopy and zeta potential measurements.
Coxsackievirus B 3 3 C Protease Inhibitor Prevents ardiomyopathy in an Experimental Chronic Myocarditis Murine odel

Background: Coxsackievirus B3 (CVB3) is a common cause of myocarditis and dilated cardiomyopathy. CVB3 3C protease (3CP) cleaves the viral polyprotein during replication. We tested whether a water soluble 3CP inhibitor (3CPI) had antiviral effects in a chronic myocarditis model. Methods: Chronic myocarditis was established using DBA/2 strain mice. Starting on post-infection (p.i) day 3, CVB3-infected mice (n = 41) were treated with 3CPI by daily intraperitoneal (i.p.) injection at a concentration of 50 M (1.7 mg/kg/day) per day for 3 consecutive days. Additional mice (n = 49) were injected with PBS as a control. Results: The 5-week survival rate was significantly higher with 3CPI treatment (82.3% versus 47.9%; P < 0.05). Organ virus titers at day 3 and 7 and myocardial damage were significantly lower in 3CPI-treated mice. Echocardiography at day 31 indicated strong protection of heart function by 3CPI (FS, 51.2 ± 1.5 versus 26.1 ± 1.5%; P < 0.001). Hemodynamic measurements indicated that 3CPI treatment markedly hronic reduced CVB3-induced LV dysfunction on day 31 (dP/dTmax, 5302 ± 352 versus 4103 ± 408 mmHg/s, P < 0.05; dP/dTmin, −3798 ± 212 versus −2814 ± 206 mmHg/s, P < 0.01). Conclusions: Water soluble 3CPI was delivered through i.p. injection after CVB3 infection. This agent preserved heart function and decreased organ viral titers and myocardial damage. Soluble 3CPI may be beneficial in the treatment of cardiomyopathy associated with enterovirus infection. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
Micrornas as Mediators and Novel Biomarkers of Cardiovascular Disease

Among the various strategies demonstrated for the post-transcriptional silencing of genes, micro RNA (miRNA or miR) has a central pivotal role in the epigenetic regulation of gene expression. Recent studies demonstrated that miRs have role as mediators and novel biomarkers in the detection of Cardiovascular Disease (CVD). In general, the myocardium-derived miR such as miR-1, miR133a and 133b, miR-208 and miR-499 were found to be increased in CVD. Among the various miR involved in the CVD, level of miR-1, miR -122, miR -126, miR -133a, miR -133b, and miR-199a were positively modulated in both unstable and stable angina patients. A positive modulation of miR337-5p instable angina and miR-145 in unstable angina was also demonstrated. While endothelium derived miR such as miR-126 was reduced. Furthermore, the plasma level of miR-1, miR-30a and miR-133a, were described as novel markers of arterial remodeling. Stability of miR in the circulation as well as the sensitivity of the detection contributed their significant role as biomarkers in CVD. The most common sensitive and accurate method for the detection is real-time RT-PCR. However, lack of consistency between the reported miR markers certainly gives rise to concern about the preexamination, examination and post-examination phases of the analysis. Furthermore, currently no known extracellular housekeeping RNAs that can be used for normalization is reported. This review article discusses the role of miR as mediators and novel biomarkers in CVD.
Vulnerability analysis of weighted graphs: a measure of vulnerability of spatial network by using betweenness centrality

The infrastructure of critical networks is importan t for human life. Vulnerability analysis of critical networks has often been discussed in th e literature because of the increasing numbers of natural and man-made hazards and disaste r . B tweenness is one of the topological centrality measure methods in the field of graph analysis. It has been used to identify the critical location for an un-weighted s patial network, where it is assumed that the length of each graph segment is the same and th e shortest path for each pair of locations (vertex) is the path which contains the f ewest locations (vertices). In reality, the shortest path between two locations in a spatial ne twork should have shortest length; therefore betweenness analysis should be applied to a weighted graph, where weight refers to the length of each graph segment. In this article, a betweenness centrality measure was applied to three weighted graphs (trans portation, drinking water and natural gas networks) to measure the importance of a graph segment according to its topological location. This research work is part of the “Critic al Infrastructure Protection (Matine)” project. The goal of the project is to analyse the vulnerability of the critical networks of the city of Tampere for crisis management purposes.
New fuzzy multi-class method to train SVM classiﬁer

—In this paper we present a new classiﬁcation method based on Support Vector Machine (SVM) to treat multi-class problems. In the context of multi-class problems, we have to separate large number of classes. SVM becomes an important machine learning tool to handle multi-class problems. Usually, SVM classiﬁers are implemented to deal with binary classiﬁcation problems. In order to handle multi-class problems, we present a new method that builds dynamically a hierarchical structure from training data. Our multi-class method is based on three main concepts : Hierarchical classiﬁcation, Fuzzy logic and SVM. We combine multiple binary SVMs to solve multi-class problems. The proposed method divides the original problem into sub-problems in order to reduce its complexity.
A model on biological flow of phosphorus in growing pigs

Ten crossbred barrows weighting 20kg were allocated in five groups fed and on diets consisted of different total phosphorus (P) levels: 0.30%, 0.40%, 0.51%, 0.65%, and 0.73%. The animals were intravenously injected 7.4MBq of radioactive P (P) and after seven days they were slaughtered for further analysis. The evaluated parameters were intake, excretion, specific activities, and flow of P in compartments (1-gut, 2-blood, 3-bone, and 4-soft tissue). Besides fecal losses, the kidneys played an import role in P regulation. The flows of P from tissue and gut to the blood were affected by P intake.
AN EFFICIENT RETOUCHED BLOOM FILTER BASED WORD-MATC HING STAGE OF BLASTN

INTRODUCTION 1 Scanning genomic sequence databases is a common and often repeated task in molecular biology. The need for speeding up these searches comes from the rapid growth of these gene banks: every year their size is scaled by a factor of 1.5 to 2 . The aim of a scan operation is to find similarities between the query sequence and a particular genome sequence , ABSTRACT BLAST is one of the most popular sequence analysis tools used by molecular biologists. It is designed to efficiently find similar regions between two sequen c s that have biological significance. However, bec ause the size of genomic databases is growing rapidly, the c omputation time of BLAST, when performing a complet e genomic database search, is continuously increasing . In this paper, we present a new approach for geno mic sequence database scanning utilizing retouched bloo m filter based FPGA architecture. An RBF is an exte nsion that makes the Bloom filter more flexible by permitti ng the removal of false positives, at the expense o f introducing false negatives, and that allows a cont rolled trade-off between the two. We further provid e some simple heuristics that decrease the false positive rat more than the corresponding increase in the fa lse negative rate, when creating RBFs. The RBF algorith ms require space that is at most a small constant m ultiple of the Bloom filters vector size. Compared to the c r ation of a standard Bloom filter, the RBF algorit hms also incur additional processing costs related to key re moval. These costs are a constant multiple of a num ber of RBF parameters, such as the number of hash functions an d the number of false positives to remove. These heuristics are more effective than the ones we have presented in prior work.
From Standalone Thesaurus to Integrated Related Words in The Danish Dictionary

The motto of EURALEX 2018 was “Lexicography in global contexts”, emphasising changes in the field of lexicography related to digital transformation, and the associated need to bring together lex-icographic efforts on a global level. This has been done in recent years through the Globalex initia-tive, a constellation of lexicographic associations that includes representatives from all continental associations of lexicography: Afrilex, Asialex, Australex, Dictionary Society of North America, and Euralex. Similar development can be witnessed in the decision of European Commission in 2017 to fund a four-year project dedicated to the establishment of the European Lexicographic Infrastructure (ELEXIS), which was also presented at the congress. This volume of proceedings includes congress papers submitted in three categories: papers, posters, and software demonstrations. During the review process each submitted contribution was evaluated by two independent blind referees. In case of doubt, a third independent opinion was involved.
ERROR CHARACTERIZATION AND APPLICATION OF ATMOSPHERIC MOTION VECTORS OVER AUSTRALIA AND HIGH LATITUDES

High density atmospheric motion vectors (AMVs) have been used operationally since the middle 1990s. Their benefit to NWP is dependent on quality control, error characterization and data selection. Here, we show that quality control (q.c.) considerably reduces vector error. In some cases, q.c. also reduces the correlated error and its associated length scale. Modern operational data assimilation schemes require estimates of observation errors, and they assume that the errors are uncorrelated or require knowledge of their correlated error and length scale. The expected error (EE) is now generated at the Australian Bureau of Meteorology (ABM), in addition to QI, RFF and other error indicators, to aid in quality control and error characterization of AMVs for numerical weather prediction (NWP). Provision of the correlated error and length scale also provides a firm basis for data thinning. Error characterized and quality controlled AMVs have recently been used in a data assimilation experiment to gauge the impact of locally generated GOES-9 AMVs on operational NWP over the Australian Region. Their clear benefit is shown. These vectors are now being used in NMOC for operational NWP. In another recent experiment AMVs generated from sequential MODIS images at high latitudes have also been used in a data impact study to demonstrate their utility in global NWP.