Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconfigurable tri-band H-shaped antenna with frequency selectivity feature for compact wireless communication systems

This study presents an H-shaped reconfigurable antenna for wireless applications. The antenna consists of an H-shape radiator and a CPW printed on a circuit board and a varactor diode connecting the upper and lower arms of the H-shape radiator for reconfigurability. The uniqueness of the antenna lies on the ability to select the operating mode and frequencies electronically using a varactor diode. By selecting the DC-bias voltages of 11.5, 10 and 8 V across the varactor diode, which in turn selects the corresponding varactor capacitances of 2, 4 and 6 pF, the antenna can be controlled to operate in three different modes, namely a single-band mode to cover the GSM1900, a dual-band mode at 1.88 and 2.4 GHz to cover the GSM1900 and Bluetooth/WLAN, respectively and a tri-band mode at 1.57, 1.88 and 2.4 GHz to cover the GSM1900, WLAN and GPS, respectively. Furthermore, by varying the varactor capacitance from 7 to 13 pF, the GPS and WLAN bands can be tuned by 11.44% (1.57–1.4 GHz) and 6.46% (2.4–2.25 GHz), respectively, yet keeping the 1.88-GHz band unchanged. Detailed studies on the antenna’s performance are carried out to investigate the behaviour of the antenna at each resonant frequency in each operating mode.
Application of Machine Learning Methods to Predict Non-Alcohol Fatty Liver Disease in Taiwanese High-Tech Industry Workers

The prevalence of obesity has led the metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), to become a serious health concern during recent years. The objective of the study is to identify the potential factors of NAFLD by decision tree first and then apply machine learning methods to the health examination data to construct the learning system. The performance of several methods including k-nearest neighbor, bootstrap aggregating, random forest, and support vector machine will be compared in this work. We observed that metabolic syndrome, body mass index, triglyceride, total cholesterol, age, waist to hip ratio, highdensity lipoprotein cholesterol, low-density lipoprotein cholesterol might be the risk factors of NAFLD for males and SVM classifier gave the best performance (86.9% accuracy, 90.0% sensitivity, and 81.0% specificity). We infer from the study that a combination of decision tree and SVM have the potential to classify NAFLD in males properly. This work can bring more awareness to the importance of regular health checkups to prevent metabolic diseases and aid in the clinical decision making for decreasing NAFLD in Taiwan in the future.
Large-Scale Processes Associated with Inter-Decadal and Inter-Annual Early Spring Rainfall Variability in Taiwan

Early spring (March - April) rainfall in Taiwan exhibits evident and distinct inter-annual and inter-decadal variability. The inter-annual varibility has a positive correlation with the El Nino/Southern Oscillation while the inter-decadal variability features a phase change beginning in the late 1970s, coherent with the major phase change in the Pacific decadal oscillation. Rainfall variability in both timescales is regulated by large-scale processes showing consistent dynamic features. Rainfall increases are associated with positive sea surface temperature (SST) anomalies in the tropical eastern Pacific and negative SST anomalies in the tropical central Pacific. An anomalous lower-level divergent center appears in the tropical central Pacific. Via a Rossby-wave-like response, an anomalous lower-level anticyclone appears to the southeast of Taiwan over the Philippine Sea-tropical western Pacific region, which is accompanied by an anomalous cyclone to the north-northeast of Taiwan. Both circulation anomalies induce anomalous southwesterly flows to enhance moisture flux from the South China Sea onto Taiwan, resulting in significant moisture convergence nearby Taiwan. With enhanced moisture supplied by anomalous southwesterly flows, significant rainfall increases occur in both inter-annual and inter-decadal timescales in early spring rainfall on Taiwan.
Emission of CO2 and soil microbial activity in sugarcane management systems

Because of the great importance of sugarcane in the Brazilian agricultural sector, this study was developed in order to evaluate the soil CO2 flux and the soil microbial activity in the systems of burned sugarcane and green sugarcane. For this end, three areas were evaluated with different histories of sugarcane management: (1) burned sugarcane BS); (2) green sugarcane for 5 years (GS-5); (3) green sugarcane for 10 years (GS-10), considering that both areas of green sugarcane were converted from a scenario of prior burning before harvest. The soil CO2 flux (FCO2), basal respiration (BR), carbon of the microbial biomass (CMB), metabolic quotient (qCO2) and microbial quotient (qMIC) were evaluated in 30 points in a 100 × 100 m sampling grid, amounting to 1 ha. The results indicated higher FCO2 and CBM in the GS-10 area, and lower in the BS area, whose CO2 emission and microbial activity were higher in summer. The metabolic and microbial quotients showed a greater balance of the soil microbial activity in the area of green sugarcane for 10 years, fostered mainly by the higher amount of mulch on the soil. Key words: Saccharum officinarum, soil respiration, microorganisms, mulch.
Research on P2P Network Resource Search Model

In this paper, the search delay model of P2P networks is proposed. By analyzing the search process of structured P2P network and using Markov chain, the relationship between the mean node session time and the search delay of the P2P network is obtained. This model shows the inherent law between P2P Churn and network performance, and it is verified by simulation.
Salivary MicroRNAs for Early Detection of Head and Neck Squamous Cell Carcinoma: A Case-Control Study in the High Altitude Mestizo Ecuadorian Population

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer with the highest incidence worldwide. HNSCC is often diagnosed at advanced stages, incurring significant high mortality and morbidity. The use of saliva, as a noninvasive tool for the diagnosis of cancer, has recently increased. Salivary microRNAs (miRNAs) have emerged as a promising molecular tool for early diagnosis of HNSCC. The aim was to identify the differential expression of salivary miRNAs associated with HNSCC in the high altitude mestizo Ecuadorian population. Using PCR Arrays, miR-122-5p, miR-92a-3p, miR-124-3p, miR-205-5p, and miR-146a-5p were found as the most representative ones. Subsequently, miRNAs expression was confirmed in saliva samples from 108 cases and 108 controls. miR-122-5p, miR-92a-3p, miR-124-3p, and miR-146a-5p showed significant statistical difference between cases and controls with areas under the curve (AUC) of 0.73 (p < 0.001), 0.70 (p < 0.001), 0.71 (p = 0.002), and 0.66 (p = 0.008), respectively. miRNAs were also deregulated in between HNSCC localizations. A differentiated expression of miR-122-5p between oral cancer and oropharynx cancer (AUC of 0.96 p = 0.01) was found: miR-124-3p between larynx and pharynx (AUC = 0.97, p < 0.01) and miR-146a-5p between larynx, oropharynx, and oral cavity (AUC = 0.96, p = 0.01). Moreover, miR-122-5p, miR-124-3p, miR-205-5p, and miR-146a-5p could differentiate between HPV+ and HPV- (p=0.004). Finally, the expression profiles of the five miRNAs were evaluated to discriminate HNSCC patient's tumor stages (TNM 2-4). miR-122-5p differentiates TNM 2 and 3 (p = 0.002, AUC = 0.92), miR-124-3p TNM 2, 3, and 4 (p < 0.001, AUC = 98), miR-146a-5p TNM 2 and 3 (p < 0.001, AUC = 0.97), and miR-92a-3p TNM 3 (p < 0.001, AUC = 0.99). Taken together, these findings show that altered expression of miRNAs could be used as biomarkers for HNSCC diagnosis in the high altitude mestizo Ecuadorian population.
A roughly smooth optimal consumption path: smoothing the rough annuity puzzle

This thesis extend the theoretical dominance of annuities over non-contingent discount notes; under standard assumptions, we show that full annuitization is optimal even in incomplete annuity markets. Through numerical simulations, we scrutinize factors affecting annuitization decision, consolidating and extending previous research by taking into account unfair prices, bequest motives, and out-of-pocket medical expenses. We also take into consideration the insurer’s risk of default, and relax an implicit assumption in most past models and detach annuitization from retirement, i.e.: we do not presume that consumers are already retired from work when they decide whether or not to annuitize. In line with previous literature, our results originate very high levels of annuitization. Yet, we show that the demand for annuities drops sharply, if preferences are such that the implied optimal consumption path decays with age. We also show that optimal annuitization timing is closely related to the endowments pattern.
Characterizing star cluster formation with WISE: 652 newly found star clusters and candidates

We report the discovery of 652 star clusters, stellar groups and candidates in the Milky Way with WISE. Most of the objects are projected close to Galactic Plane and are embedded clusters. The present sample complements a similar study (Paper I) which provided 437 star clusters and alike. We find evidence that star formation processes span a wide range of sizes, from populous dense clusters to small compact embedded ones, sparse stellar groups or in relative isolation. The present list indicates multiple stellar generations during the embedded phase, with giant molecular clouds collapsing into several clumps composing an embedded cluster aggregate. We investigate the field star decontaminated Colour Magnitude Diagrams and Radial Density Profiles of 9 cluster candidates in the list, and derive their parameters, confirming them as embedded clusters.
THREE PRE-PROCESSING STEPS TO INCREASE THE QUALITY OF KINECT RANGE DATA

Abstract. By developing technology with current rate, and increase in usage of active sensors in Close-Range Photogrammetry and Computer Vision, Range Images are the main extra data which has been added to the collection of present ones. Though main output of these data is point cloud, Range Images themselves can be considered important pieces of information. Being a bridge between 2D and 3D data enables it to hold unique and important attributes. There are 3 following properties that are taken advantage of in this study. First attribute to be considered is "Neighborhood of Null pixels" which will add a new field about accuracy of parameters into point cloud. This new field can be used later for data registration and integration. When there is a conflict between points of different stations we can abandon those with lower accuracy field. Next, polynomial fitting to known plane regions is applied. This step can help to soften final point cloud and just applies to some applications. Classification and region tracking in a series of images is needed for this process to be applicable. Finally, there is break-line created by errors of data transfer software. The break-line is caused by loss of some pixels in data transfer and store, and Image will shift along break-line. This error occurs usually when camera moves fast and processor can't handle transfer process entirely. The proposed method performs based on Edge Detection where horizontal lines are used to recognize break-line and near-vertical lines are used to determine shift value.
Broad bandwidth SOA-based multiwavelength laser incorporating a bidirectional Lyot filter

We demonstrate a broad bandwidth multiwavelength laser based on a bidirectional Lyot filter and a semiconductor optical amplifier with a mechanism of intensity-dependent loss as the flatness agent. A wide bandwidth of a multiwavelength spectrum of 32.9 nm within a 5 dB uniformity is obtained under optimized polarization parameters. For this case, the number of generated lasing lines is 329 with a fixed wavelength separation of 0.1 nm. The power stability of this multiwavelength laser is less than 1.35 dB within 200 min time frame. This shows that the bidirectional Lyot filter provides an alternative option for multiwavelength generation in laser systems.
on CMS information server CMS CR-2016 / 148 The Compact Muon Solenoid Experiment

Measurements of the top quark mass are presented, obtained from CMS data collected in proton proton collisions at the LHC at centre-of-mass energies of 7 TeV and 8 TeV. The mass of the top quark is measured using several methods and channels, including the reconstructed invariant mass distribution of the top quark as well as measurements based on charged particle information. The dependence of the mass measurement on the kinematic phase space is investigated. The results of the various channels are combined and compared to the world average. The top mass is extracted from the inclusive top quark pair production cross section measured at CMS. Presented at DIS 2016 XXIV International Workshop on Deep-Inelastic Scattering and Related Subjects Top quark mass measurements with the CMS experiment at the LHC Simon Spannagel∗† Deutsches Elektronen-Synchrotron DESY E-mail: simon.spannagel@desy.de Measurements of the top quark mass are presented, obtained from CMS data collected in proton proton collisions at the LHC at centre-of-mass energies of 7 TeV and 8 TeV. The mass of the top quark is measured using several methods and channels, including the reconstructed invariant mass distribution of the top quark as well as measurements based on charged particle information. The dependence of the mass measurement on the kinematic phase space is investigated. The results of the various channels are combined and compared to the world average. The top mass is extracted from the inclusive top quark pair production cross section measured at CMS. XXIV International Workshop on Deep-Inelastic Scattering and Related Subjects 11-15 April, 2016 DESY Hamburg, Germany ∗Speaker. †on behalf of the CMS Collaboration. c © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). http://pos.sissa. it/ Top quark mass measurements with CMS Simon Spannagel
Lower plate deformation at the Chile Triple Junction from the paleomagnetic record (45°30′S–46°S)

During the Chile Triple Junction (CTJ) cruise, geophysical surveys were conducted between 45°S and 48°S, in the region of the Chile Triple Junction (CTJ), where the Nazca and Antarctica Plates are subducting beneath the South American Plate. Near the CTJ, the South Chile Rise (SCR), which separates the Nazca and Antarctica lower plates, consists of three spreading segments trending ~N160°, separated by a series of parallel fracture zones. The active spreading centers of the three segments consist of grabens with various widths and depths, bounded by steep fault scarps. We provide robust data showing that the SCR recorded remote and long‐term effects of ridge subduction far from the subduction front. Magnetic profiles, multibeam bathymetric, and seismic data were acquired at intervals of 13 km along a N80°E direction across the SCR during the CTJ cruise of R/V L'Atalante. Deformation of the oceanic lithosphere includes (1) a segmentation of the spreading axes along strike, (2) some ridge jumps, and (3) local constriction and changes in trend of the fracture zone valleys. Off‐axis volcanism is observed in places that may suggest a link with an abnormal stress field induced by ridge subduction. The tectonic and volcanic anomalies, which occurred in response to the subduction of the SCR1 axis, may be correlated with geochemical anomalies and slab fragmentation recognized by previous works.
Comparing parametric and non-parametric approaches for estimating trends in multi-year NDVI

The aim of this study is to systematically compare parametric and non-parametric techniques for analyzing trends in annual NDVI derived from NOAA AVHRR sensor in order to examine how trend type and departure from normality assumptions affect the accuracy of detecting long-term change. To generate annual data, the mean NDVI of a four-month long ‘green’ season was computed for fifteen sites (located in Africa, Spain, Italy, Sweden, and Iraq) from the GIMMS product for the periods 1982-2006. Trends in these time series were then estimated by Ordinary Least-Squares (OLS) regression (parametric) and the combined Mann-Kendall test with Theil-Sen slope estimator (non-parametric), and compared using slope value and statistical significance measures. We also estimated optimal polynomial model for the annual NDVI, by using Akaike Information Criterion (AIC), to determine the trend type at each site. Results indicate that slopes and their statistical significances obtained from the two approaches at sites with low degree polynomials (mostly linear) and steep monotonic (gradually increasing or decreasing) trends compare favourably with one another. At sites with weak linear slopes, the two approaches had similar results as well. Exceptions include sites with abrupt step-like changes resulting in departures from linearity and consequently high degree polynomials where the least-squares method outperformed the Mann-Kendall Theil-Sen method. In sum, we conclude that OLS is superior for detecting NDVI trends using annual data though further investigation using other techniques is recommended. (Less)
Overcoming Annotation Scarcity for Shallow Semantic Parsing in Scientific Procedural Text

Materials science literature contains millions of synthesis routes described in unstructured natural language text. The large scale mining of these synthesis procedures promises to allow a deeper scientific understanding of materials synthesis and the automated planning of synthesis procedures. This however requires the construction of knowledge bases of synthesis procedures from natural language text. A major bottleneck in extraction of these structured synthesis representations from text is the lack of labeled data on which to train or evaluate extraction models. To address this bottleneck, we introduce a dataset of 230 synthesis procedures annotated with the labeled graph structures which express the semantics of the synthesis sentences. The nodes are synthesis operations and arguments in the synthesis, while labeled edges specify relations between the nodes. Next, we describe a novel weakly supervised approach to the extraction of unlabeled graph structures from synthesis sentences. The proposed model is framed as a matrix completion model parameterized by a DeepSet neural network [Zaheer et al., 2017]. The proposed model outperforms a strong heuristic baseline by 4 points precision and 2 points F1.
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer

Style transfer of polyphonic music recordings is a challenging task when considering the modeling of diverse, imaginative, and reasonable music pieces in the style different from their original one. To achieve this, learning stable multi-modal representations for both domain-variant (i.e., style) and domaininvariant (i.e., content) information of music in an unsupervised manner is critical. In this paper, we propose an unsupervised music style transfer method without the need for parallel data. Besides, to characterize the multi-modal distribution of music pieces, we employ the Multi-modal Unsupervised Image-to-Image Translation (MUNIT) framework in the proposed system. This allows one to generate diverse outputs from the learned latent distributions representing contents and styles. Moreover, to better capture the granularity of sound, such as the perceptual dimensions of timbre and the nuance in instrument-specific performance, cognitively plausible features including mel-frequency cepstral coefficients (MFCC), spectral difference, and spectral envelope, are combined with the widely-used mel-spectrogram into a timbreenhanced multi-channel input representation. The Relativistic average Generative Adversarial Networks (RaGAN) is also utilized to achieve fast convergence and high stability. We conduct experiments on bilateral style transfer tasks among three different genres, namely piano solo, guitar solo, and string quartet. Results demonstrate the advantages of the proposed method in music style transfer with improved sound quality and in allowing users to manipulate the output.
Generational differences in work preferences

This study aimed at getting more insight in the work preferences of the youngest generation (born after 1985) and the differences with work preferences of older generations. The increasing numbers and influence of the youngest generation on the labor force brings up the necessity for organizations to become attractive as an employer. Using type of work and work environment as predictors of the recruitment outcomes organizational attraction and acceptance intentions, a questionnaire was developed which operationalizes the constructs that are mentioned by the youngest generation as being the most important. This questionnaire consisted of 7 constructs which in turn were measured by a total of 15 scales. Two samples of respondents were used (students and workers) which also made it possible to distinguish on work experience. The results showed that there were two types of differences. On the one hand differences in kinds of preferences, expressed by different operationalizations of the constructs. This was the case for the constructs; ‘challenge’, ‘task significance’, ‘transformational leadership’ and ‘promotion opportunities’. On the other hand differences in the levels of preferences were found which indicate that some aspects were preferred more or less by the youngest generation. Three scales were valued higher by youngsters. This was the case for ‘social support’, ‘transactional leadership, management-by-exception’ and ‘promotion opportunities’. Contrary, four other scales were valued significantly lower by the youngest generation. This was the case for ‘task significance’, ‘flexibility’, ‘transformational leadership’ and ‘social responsibility’. It can be concluded that there are differences in work preferences between the youngest and older generations. The results can be used to shape the aspects that are most preferred to the definition as used by this youngest generation. However, as the found differences were relatively small and more similarities could be noted, the overall conclusion is that the youngest generation does not seem to be as drastically different as popular press suggests.
Identification of Staphylococcus spp . isolated during the ripening process of a traditional Minas cheese

The population dynamics of Staphylococcus spp. was studied during the ripening of Canastra Minas cheese at three farms located in the State of Minas Gerais, Brazil. The presence of coagulase (coa), thermonuclease (nuc), and enterotoxin (sea, seb, sec, and sed) genes was investigated in Staphylococcus strains isolated during the 60-day cheese-ripening period. The presence of the staphylococcal enterotoxins A, C, and D was also investigated in the cheese samples. Cheese samples that were matured for 0, 7, 15, 30, and 45 days presented staphylococci counts from 10 to 10cfu/g. All isolates considered coagulasepositive by physiological tests had the coa gene. However, no association was observed between the results obtained with biochemical tests and those obtained by PCR using gene-specific primers for coagulase-negative strains. Coagulase and thermonuclease genes occurred simultaneously in 41.3% of Staphylococcus spp. tested. None of the investigated Staphylococcus strains expressed enterotoxins SEA, SEB, SEC, and SED. Enterotoxins A, C, and D were not detected in any of the cheese samples.