Miracle-dz/UniFAR-FTUs huggingface dataset:
Breaking the Closed World Assumption in Text Classification

Existing research on multiclass text classific a-tion mostly makes the closed world assum p-tion, which focus es on designing accurate classifiers under the assumption that all test classes are known at training time. A more r e-alistic scenario is to expect unseen classes dur ing testing ( open world ) . In this case, the goal is to design a learning system that class i-fies documents of the known classes into their respective cl asses and also to reject doc u-ments from unknown classes . This problem is called open ( world ) classification . This paper approach es the problem by reducing the open space risk while balancing the empirical risk . It proposes to use a new learn ing strategy, called c enter - based similarity (CBS) space learning (or CBS learning ) , to provide a novel solution to the problem . Extensive e xper i-ments across two datasets show that CBS learning give s promising results on multiclass open text classification compared to state - of - the - art baselines.
A Real-Time Autonomous Navigation Architecture

This paper presents a novel navigation architecture for automated car-like vehicles in urban environments. Motion safety is a critical issue in such environments given that they are partially known and highly dynamic with moving objects (other vehicles, pedestrians.). The main feature of the navigation architecture proposed is its ability to make safe motion decisions in real-time, thus taking into account the harsh constraints imposed by the type of environments considered. The architecture is based upon an efficient publish/subscribe-based middleware system that allows modularity in design and the easy integration of the key functional components required for autonomous navigation: perception, localization, mapping, real-time motion planning and motion tracking. After an overall presentation of the architecture and its main modules, the paper focuses on the ``motion'' components of the architecture. Experimental results carried out on both a simulation platform and a Cycab vehicle in a parking environment are presented.
Implementation of Android-based fall-detecting system

Accidental falls are the main factors that endanger the health of elderly people in modern society. Timely and effective fall detection and alarm can reduce the risk of falls. With the increasing of the aging society, the design and development of the fall detection system which is portable, accurate and real-time, has gradually become one of the most urgent needs of the community. With the rapid development of mobile Internet, smart phones as another kind of wearable device have become essential products of people's life. Smart phone is portable and flexible, which can be built in various sensors. It can be used to monitor human motion data. In order to detect falls promptly and minimize the damage to the aged, a fall detection system based on Android phones was designed and implemented and a fall detection algorithm for phones was proposed in the paper. In this way, the elderly can detect falls without other equipment at any time. Meanwhile, the system integrated the phone system function greatly, provided a good platform for human-computer interaction in the detection, and gave remote alarm to help the elderly get timely rescue.
Herbal Medicines for Parkinson's Disease: A Systematic Review of Randomized Controlled Trials

Objective We conducted systematic review to evaluate current evidence of herbal medicines (HMs) for Parkinson's disease (PD). Methods Along with hand searches, relevant literatures were located from the electronic databases including CENTRAL, MEDLINE, EMBASE, CINAHL, AMED, PsycInfo, CNKI, 7 Korean Medical Databases and J-East until August, 2010 without language and publication status. Randomized controlled trials (RCTs), quasi-randomized controlled trials and randomized crossover trials, which evaluate HMs for idiopathic PD were selected for this review. Two independent authors extracted data from the relevant literatures and any disagreement was solved by discussion. Results From the 3432 of relevant literatures, 64 were included. We failed to suggest overall estimates of treatment effects on PD because of the wide heterogeneity of used herbal recipes and study designs in the included studies. When compared with placebo, specific effects were not observed in favor of HMs definitely. Direct comparison with conventional drugs suggested that there was no evidence of better effect for HMs. Many studies compared combination therapy with single active drugs and combination therapy showed significant improvement in PD related outcomes and decrease in the dose of anti-Parkinson's drugs with low adverse events rate. Conclusion Currently, there is no conclusive evidence about the effectiveness and efficacy of HMs on PD. For establishing clinical evidence of HMs on PD, rigorous RCTs with sufficient statistical power should be promoted in future.
Fractional Wavelet Filter for Camera Sensor Node with external Flash and extremely little RAM

This paper introduces the fractional wavelet filter as a technique to compute fractional values of each wavelet subband, thus allowing a low-cost camera sensor node with less than 2 kByte RAM to perform a multi-level 9/7 picture wavelet transform. The picture dimension can be 256x256 using fixed-point arithmetic and 128x128 using floating-point arithmetic. The technique is applied to a typical 16 Bit sensor node architecture with external flash memory, which allows to line-wisely read and write picture data.
A new design approach for solving linear quadratic nash games of multiparameter singularly perturbed systems

In this paper, the linear quadratic Nash games for infinite horizon nonstandard multiparameter singularly perturbed systems (MSPS) without the nonsingularity assumption that is needed for the existing result are discussed. The new strategies are obtained by solving the generalized cross-coupled multiparameter algebraic Riccati equations (GCMARE). Firstly, the asymptotic expansions for the GCMARE are newly established. The main result in this paper is that the proposed algorithm which is based on the Newton's method for solving the GCMARE guarantees the quadratic convergence. In fact, the simulation results show that the proposed algorithm succeed in improving the convergence rate dramatically compared with the previous results. It is also shown that the resulting controller achieves O(/spl par//spl mu//spl par//sup 2n/) approximation of the optimal cost.
Monitoring the Modifications of the Vitreous Humor Metabolite Profile after Death: An Animal Model

We applied a metabolomic approach to monitor the modifications occurring in goat vitreous humor (VH) metabolite composition at different times (0, 6, 12, 18, and 24 hours) after death. The 1H-NMR analysis of the VH samples was performed for the simultaneous determination of several metabolites (i.e., the metabolite profile) representative of the VH status at different times. Spectral data were analyzed by Principal Component Analysis (PCA) and by Orthogonal Projection to Latent Structures (OPLS) regression technique. PCA and OPLS suggested that different spectral regions were involved in time-related changes. The major time-related compositional changes, here detected, were the increase of lactate, hypoxanthine, alanine, total glutathione, choline/phosphocholine, creatine, and myo-inositol and the decrease of glucose and 3-hydroxybutyrate. We attempted a speculative interpretation of the biological mechanisms underlying these changes. These results show that multivariate statistical approach, based on 1H NMR metabolite profiling, is a powerful tool for detecting ongoing differences in VH composition and may be applied to investigate several physiological and pathological conditions.
Movements, Home-Range Size and Habitat Selection of Mallards during Autumn Migration

The mallard (Anas platyrhynchos) is a focal species in game management, epidemiology and ornithology, but comparably little research has focused on the ecology of the migration seasons. We studied habitat use, time-budgets, home-range sizes, habitat selection, and movements based on spatial data collected with GPS devices attached to wild mallards trapped at an autumn stopover site in the Northwest European flyway. Sixteen individuals (13 males, 3 females) were followed for 15–38 days in October to December 2010. Forty-nine percent (SD = 8.4%) of the ducks' total time, and 85% of the day-time (SD = 28.3%), was spent at sheltered reefs and bays on the coast. Two ducks used ponds, rather than coast, as day-roosts instead. Mallards spent most of the night (76% of total time, SD = 15.8%) on wetlands, mainly on alvar steppe, or in various flooded areas (e.g. coastal meadows). Crop fields with maize were also selectively utilized. Movements between roosting and foraging areas mainly took place at dawn and dusk, and the home-ranges observed in our study are among the largest ever documented for mallards (mean = 6,859 ha; SD = 5,872 ha). This study provides insights into relatively unknown aspects of mallard ecology. The fact that autumn-staging migratory mallards have a well-developed diel activity pattern tightly linked to the use of specific habitats has implications for wetland management, hunting and conservation, as well as for the epidemiology of diseases shared between wildlife and domestic animals.
A data mining model of knowledge discovery based on the deep learning

With the development of the database technology and the spread of the internet, the amount of the data in databases increases at an exponential speed, which yields the difficult problems of “excess data” and “information explosion”, etc. The traditional database technology is restricted in reading and writing, querying and basic statics operations, but can't acquire the deep data attributes or implicit information. Facing with the huge database in all kinds of fields, it is more and more difficult to cope with the big data only by using conventional technology. New technique to deal with these data at a high level is eagerly demanded. Therefore, the KDD (Knowledge Discovery in Database) technology arises at the historic moment. KDD is an integrated process, which includes data input, iterative solving, user interface and many other custom requirements and design decisions, where the data mining (DM) is a key and specific step in KDD. This paper deeply analyzes state of the art technology of DM, and points out the challenge and technological bottleneck of DM. Moreover, a data mining model architecture of knowledge discovery based on deep learning is proposed.
Acupressure and Ginger to Relieve Nausea and Vomiting in Pregnancy: a Randomized Study

Background Nausea and vomiting of pregnancy (NVP) is the most common medical condition of pregnancy, affecting up to 85% of expecting mothers. NVP can have serious adverse effects on the quality of a woman's life, social, and domestic functioning, and her general well-being. Therefore, it is very important to treat this condition. Objectives The effectiveness of ginger and acupressure in the treatment of NVP was compared in the present study. Patients and Methods 159 eligible pregnant women with symptoms of mild to moderate nausea and/or vomiting before 16 weeks gestational age participated in a 7-day clinical trial. They were divided randomly into three groups: the acupressure, ginger, and control. Participants did not receive any intervention for three days and interventions were performed for the women in acupressure and ginger groups for four days. No intervention was performed for the control group. Data was collected by self-recorded symptoms according to the Rhodes index. Data was analyzed by ANOVA, Kruskal-Wallis, Chi-square, and Fisher exact tests for quantitative and qualitative variables. Results There were no statistical differences in the baseline demographics between the three groups. ANOVA test showed that there were significantly differences in mean difference Rhodes index scores (vomiting, nausea, retching and total score) in the three groups (P < 0.001). Conclusions Ginger is more effective than acupressure to relieve mild to moderate nausea and vomiting in symptomatic pregnant women in less than 16 weeks of gestational age.
Naturalness via scale invariance and non-trivial UV fixed points in a 4d O(N) scalar field model in the large-N limit

We try to use scale-invariance and the 1/N expansion to construct a non-trivial 4d O(N) scalar field model with controlled UV behavior and naturally light scalar excitations. The principle is to fix interactions at each order in 1/N by requiring the effective action for arbitrary background fields to be scale-invariant. We find a line of non-trivial UV fixed-points in the large-N limit, parameterized by a dimensionless coupling. Nether action nor measure is scale invariant, but the effective action is. Scale invariance makes it natural to set a mass deformation to zero. The model has phases where O(N) invariance is unbroken or spontaneously broken. Masses of the lightest excitations above the unbroken vacuum are found. Slowly varying quantum fluctuations are incorporated at order 1/N . We find the 1/N correction to the potential, beta function of mass and anomalous dimensions of fields that preserve a line of fixed points for constant backgrounds.
Magnesium Homeostasis in Cardiac Myocytes of Mg-Deficient Rats

To study possible modulation of Mg2+ transport in low Mg2+ conditions, we fed either a Mg-deficient diet or a Mg-containing diet (control) to Wistar rats for 1–6 weeks. Total Mg concentrations in serum and cardiac ventricular tissues were measured by atomic absorption spectroscopy. Intracellular free Mg2+ concentration ([Mg2+]i) of ventricular myocytes was measured with the fluorescent indicator furaptra. Mg2+ transport rates, rates of Mg2+ influx and Mg2+ efflux, were estimated from the rates of change in [Mg2+]i during Mg loading/depletion and recovery procedures. In Mg-deficient rats, the serum total Mg concentration (0.29±0.026 mM) was significantly lower than in control rats (0.86±0.072 mM) after 4–6 weeks of Mg deficiency. However, neither total Mg concentration in ventricular tissues nor [Mg2+]i of ventricular myocytes was significantly different between Mg-deficient rats and control rats. The rates of Mg2+ influx and efflux were not significantly different in both groups. In addition, quantitative RT-PCR revealed that Mg deficiency did not substantially change mRNA expression levels of known Mg2+ channels/transporters (TRPM6, TRPM7, MagT1, SLC41A1 and ACDP2) in heart and kidney tissues. These results suggest that [Mg2+]i as well as the total Mg content of cardiac myocytes, was well maintained even under chronic hypomagnesemia without persistent modulation in function and expression of major Mg2+ channels/transporters in the heart.
Pose control of quadrotor unmanned aerial vehicle based on double filters

In recent years, the quadrotor unmanned aerial vehicle(UAV) showed a huge advantage in disaster relief activities due to its maneuverability and flexibility. However, the scene of the indoor environment is usually complex and difficult to be detected, the pose control and autonomous navigation for unmanned aerial vehicle meets great difficulties. For the pose control of the quadrobot unmanned aerial vehicle in unknown indoor environment, this paper designed a complementary filter and the Kalman filter. Based on the state estimation by iterations, we effectively implemented the fusion of the close-loop control process and the multi-sensor measurement data. This greatly improves the real-time performance and precision of the pose control for quadrobot UAV. Simulation experiments show that the pose control system designed in this paper can achieve excellent effect when it was applied for autonomous flight of quadrobot UAV. This laid a solid foundation for the navigation of unmanned aerial vehicle.
Characterization of an Isoflavonoid-Specific Prenyltransferase from Lupinus albus1[W][OA]

Prenylated flavonoids and isoflavonoids possess antimicrobial activity against fungal pathogens of plants. However, only a few plant flavonoid and isoflavonoid prenyltransferase genes have been identified to date. In this study, an isoflavonoid prenyltransferase gene, designated as LaPT1, was identified from white lupin (Lupinus albus). The deduced protein sequence of LaPT1 shared high homologies with known flavonoid and isoflavonoid prenyltransferases. The LaPT1 gene was mainly expressed in roots, a major site for constitutive accumulation of prenylated isoflavones in white lupin. LaPT1 is predicted to be a membrane-bound protein with nine transmembrane regions and conserved functional domains similar to other flavonoid and isoflavonoid prenyltransferases; it has a predicted chloroplast transit peptide and is plastid localized. A microsomal fraction containing recombinant LaPT1 prenylated the isoflavone genistein at the B-ring 3′ position to produce isowighteone. The enzyme is also active with 2′-hydroxygenistein but has no activity with other flavonoid substrates. The apparent Km of recombinant LaPT1 for the dimethylallyl diphosphate prenyl donor is in a similar range to that of other flavonoid prenyltransferases, but the apparent catalytic efficiency with genistein is considerably higher. Removal of the transit peptide increased the apparent overall activity but also increased the Km. Medicago truncatula hairy roots expressing LaPT1 accumulated isowighteone, a compound that is not naturally produced in this species, indicating a strategy for metabolic engineering of novel antimicrobial compounds in legumes.
Robust and Efficient Mobile Robot Self-localization using Laser Scanner and Geometrical Maps

In this paper, we present a set of robust and efficient algorithms with O(N) cost for object detection and pose estimation with a laser ranger based on regular geometrical maps. Firstly, a multiple line fitting method is described, related with walls at the environment, which minimizes the sum of squared distances for contiguous lines and constitutes a global pattern with regular constrained angles. Secondly, beacons, related with columns at the environment, are estimated with the circle algebraic method. Two pose estimation methods are presented, based on detected beacons and lines. These methods have proved to be robust and faster than other methods. In addition to this, a redundant kinematic model is used for dead-reckoning sensors, which may improve estimations. Finally, the robot localization is performed with an EKF during normal navigation and a global localization method, based on Monte Carlo simulation methods, at initialization
Impact of Large Block FEC with Different Queue Sizes of Drop Tail and RED Queue Policy on Video Streaming Quality over Internet

In this paper, we report an investigation on the impact of large block Forward Error Correction (FEC) with Drop Tail (DT) and Random Early Detection (RED) queue policies on network performance and quality of video streaming. FEC is a technique that uses redundant packets to reconstruct dropped packets, while DT and RED are the most popular queue management policies used in network routers. DT mainly depends on the size of the queue buffer to decide on whether to drop a packet or not. RED monitors the average queue size and drops arriving packets probabilistically. The probability of dropping a packet increases as the estimated average queue size grows. In the investigation, we consider simulation settings with varying size of queue buffers. Results obtained from the simulation experiments show that large block FEC and queue size affect the performance the network. Consequently, the qualities of multimedia applications are also affected.
Multi-frequency polarimetry of the Galactic radio background around 350 MHz. II. A region in Horologium around l = 137degr , b = 7degr

With the Westerbork Synthesis Radio Telescope (WSRT), multi-frequency polarimetric images were taken of the diffuse radio synchrotron background in a similar to5degrees x 7degrees region centered on (l,b) = (161degrees,16degrees) in the constellation of Auriga. The observations were done simultaneously in 5 frequency bands, from 341 MHz to 375 MHz, and have a resolution of similar to5.0' x 5.0' cosec delta. The polarized intensity P and polarization angle phi show ubiquitous structure on arcminute and degree scales, with polarized brightness temperatures up to about 13 K. On the other hand, no structure at all is observed in total intensity I to an rms limit of 1.3 K, indicating that the structure in the polarized radiation must be due to Faraday rotation and depolarization mostly in the warm component of the nearby Galactic interstellar medium ( ISM). Different depolarization processes create structure in polarized intensity P. Beam depolarization creates "depolarization canals" of one beam wide, while depth depolarization is thought to be responsible for creating most of the structure on scales larger than a beam width. Rotation measures (RM) can be reliably determined, and are in the range -17 less than or similar to RM less than or similar to 10 rad m(-2) with a non-zero average RM(0) approximate to -3/4 rad m(-2). The distribution of RMs on the sky shows both abrupt changes on the scales of the beam and a gradient in the direction of positive Galactic longitude of similar to1 rad m(-2) per degree. The gradient and average RM are consistent with a regular magnetic field of similar to1 muG which has a pitch angle of p = -14degrees. There are 13 extragalactic sources in the field for which RMs could be derived, and those have \RM\ less than or similar to 13 rad m(-2), with an estimated intrinsic source contribution of similar to3.6 rad m(-2). The RMs of the extragalactic sources show a gradient that is about 3 times larger than the gradient in the RMs of the diffuse emission and that is approximately in Galactic latitude. This difference is ascribed to a vastly different effective length of the line of sight. The RMs of the extragalactic sources also show a sign reversal which implies a reversal of the magnetic field across the region on scales larger than about ten degrees. The observations are interpreted in terms of a simple single-cell-size model of the warm ISM which contains gas and magnetic fields, with a polarized background. The observations are best fitted with a cell size of 10 to 20 pc and a ratio of random to regular magnetic fields B(ran)/B(reg) approximate to 0.7 +/- 0.5. The polarization horizon, beyond which most diffuse polarized emission is depolarized, is estimated to be at a distance of about 600 pc.
VIRUS AND VIRUS-LIKE DISEASES OF CITRUS IN EPIRUS

In 2005 a survey was conducted in the main citrusgrowing areas of Epirus. Commercial groves and nurseries were inspected for symptoms of virus and viruslike diseases and a total of 123 samples were collected. Molecular hybridisation was used to test for Citrus tristeza virus (CTV), Citrus psorosis virus (CPsV), Citrus infectious variegation virus (CVV), Citrus exocortis viroid (CEVd) and Hop stunt viroid (HSVd). Although the results are from a low number of samples, they give a significant insight into the sanitary conditions of the Greek citrus industry, disclosing the presence of CTV mild strains in the North-western area.