Miracle-dz/UniFAR-FTUs huggingface dataset:
BioHCDP: A Hybrid Constituency-Dependency Parser for Biological NLP information extraction

One of the key goals of biological Natural Language Processing (NLP) is the automatic information extraction from biomedical publications. Most current constituency and dependency parsers overlook the semantic relationships between the constituents comprising a sentence and may not be well suited for capturing complex long-distance dependencies. We propose in this paper a hybrid constituency-dependency parser for biological NLP information extraction called BioHCDP. BioHCDP aims at enhancing the state of the art of biological text mining by applying novel linguistic computational techniques that overcome the limitations of current constituency and dependency parsers outlined above, as follows: (1) it determines the semantic relationship between each pair of constituents in a sentence using novel semantic rules, and (2) it applies semantic relationship extraction models that represent the relationships of different patterns of usage in different contexts. BioHCDP can be used to extract various classes of data from biological texts, including protein function assignments, genetic networks, and protein-protein interactions. We compared BioHCDP experimentally with three systems. Results showed marked improvement.
Multicast State Distribution by Joins Using Multiple Shortest Paths

The lack of resources in routers will become a crucial issue with the deployment of state storing protocols. In particular, single or any source multicast protocols will most probably take over large amounts of resources for maintaining multicast tree information. The aim of this paper is to study the possibility and benefit of using multiple shortest paths in order for a new member to reach a multicast tree. Such a mechanism would not reduce the overall amount of state information in the network but it would distribute this amount more evenly among all routers. The idea is to use alternate shortest paths provided by the underlying unicast routing protocol to avoid saturated routers, that is, routers that can not or do not want to store any more multicast state information. As the simulation results are very sensitive to the topology, we have used subgraphs of an Internet map. We have then simulated our multipath join mechanism and have found that depending on the tree size, the use of our mechanism can increase successful join attempts by up to 55% when the network is half saturated.
Supporting superpage allocation without additional hardware support

Today, many modern processors support more than one page size. The larger pages, called superpages, have been identified as one means of reducing the time spent servicing translation lookaside buffer (TLB) misses in the early 1990s by increasing TLB reach. Widespread usage of superpages has been limited by the requirement that superpages consist of physically contiguous and naturally-aligned small pages. This makes external fragmentation a serious problem for an operating system, one that is almost non-existent when processes use only one page size. Hardware solutions to mitigate this limitation such as sub-blocking, shadow page-tables and a variety of hybrid solutions have not seen wide-spread adoption. This has curtailed automatic superpage support as it is known that superpage availability will decrease during the system's lifetime as external fragmentation grows. This paper presents a placement policy for an operating system's physical page allocator to mitigate external fragmentation problems by grouping pages based on the system's ability to relocate the data. Secondly, the necessary changes to the page reclamation algorithm for it to be contiguity-aware are described while minimising impact to the reclamation algorithms' normal decisions. The performance impact on different machine types is illustrated and it is shown that the superpage allocation success rate is improved. These mechanisms are complementary to any of the hardware solutions proposed in the past.
The Variability Model of The Linux Kernel

Lack of realistic benchmarks hinders efficient design and evaluation of analysis techniques for feature models. We extract a variability model from the code base of the Linux kernel, obtaining a model larger by an order of magnitude than the largest publicly available feature model so far. We analyze properties of this model, compare it with previously available benchmarks, and emphasize the differences from published academic examples. As a result, we broaden our understanding of what a feature model is, hopefully challenging tool designers by providing an interesting benchmark, giving input to design of random model generators, and last but not least, inspiring designers of variability modeling languages.
Extensions of Gaussian Processes for Ranking : Semi-supervised and Active Learning

Unlabelled examples in supervised learning tasks can be optimally exploited using semi-supervised methods and active learning. We focus on ranking learning from pairwise instance preference to discuss these important extensions, semi-supervised learning and active learning, in the probabilistic framework of Gaussian processes. Numerical experiments demonstrate the capacities of these techniques.
Benchmarking Bitemporal Database Systems: Ready for the Future or Stuck in the Past?

After more than a decade of a virtual standstill, the adoption of temporal data management features has recently picked up speed, driven by customer demand and the inclusion of temporal expressions into SQL:2011. Most of the big commercial DBMS now include support for bitemporal data and operators. In this paper, we perform a thorough analysis of these commercial temporal DBMS: We investigate their architecture, determine their performance and study the impact of performance tuning. This analysis utilizes our recent (TPCTC 2013) benchmark proposal, which includes a comprehensive temporal workload definition. The results of our analysis show that the support for temporal data is still in its infancy: All systems store their data in regular, statically partitioned tables and rely on standard indexes as well as query rewrites for their operations. As shown by our measurements, this causes considerable performance variations on slight workload variations and significant overhead even after extensive tuning.
Political Engineering and Party Politics in Papua New Guinea

In this article I investigate whether `political engineering' can work to address problems of party system instability in new democracies. I look at the ambitious recent attempts to engineer the development of stable party politics in Papua New Guinea, one of the few post-colonial states to have maintained an unbroken record of democratic government. Despite its enviable status in this regard, in recent years Papua New Guinea has been plagued by increasing political instability caused, in part, by the fragmentation of its party system. The article analyses Papua New Guinea's new political institutions, introduced in 2001, which are designed to encourage the development of a more coherent party system, stabilize the formation of executive government, and fundamentally change the conduct of the electoral process.
A simplified approach to merging partial plane images

This paper introduces a method of image recognition based on the gradual generating and analysis of data structure consisting of the 2D space using the difference from the row and column vectors’ sums as an application of the linear algebra. The result of the data processing is a graphical interpretation of the measure of the similarity of the generated results of overlapping of 2 images. Maximal measure of the similarity is a measure for image registration. The study result is to create a list of the images order, in which one follows the other, included in the non-registered set of images that can be used for the final image-stitching
Multiple Probabilistic Templates Based Pedestrian Detection in Night Driving with a Normal Camera

Pedestrian detection is particularly challenging, comparing with other targets in the domain of object detection, especially for night driving just with a normal camera. In this paper we combine two probabilistic templates based classifiers for elaborate pedestrian detection: the binary probabilistic template based classifier (BPTC) as the first layer to reject most of non-pedestrians by the features of binary image; the gray probabilistic template based classifier (GPTC) as the second layer to make the final classification by the gray probability, which is the contribution of this paper. Experiments show that our approach performs well most of the time, and the system can achieve real-time detection
Subspace Identi(cid:2)cation from Closed Loop Data

So called subspace methods for direct identi(cid:2)cation of linear mod(cid:3) els in state space form have drawn considerable interest recently(cid:4) They have been found to work well in many cases but have one drawback (cid:5) they do not yield consistent estimates for data collected under out(cid:3) put feedback(cid:4) This contribution points to the reasons for this and also shows how to modify the basic algorithm to handle closed loop data(cid:4) We stress how the basic idea is to focus on the estimation of the state(cid:3)variable candidates (cid:5) the k(cid:3)step ahead output predictors(cid:4) By re(cid:3) computing these from a (cid:6)non(cid:3)parametric(cid:7) (cid:8)or(cid:9) rather(cid:9) high order ARX(cid:10) one(cid:3)step ahead predictor model(cid:9) closed loop data can be handled(cid:4) (cid:0)
A 53-to-75-mW, 59.3-dB HRR, TV-Band White-Space Transmitter Using a Low-Frequency Reference LO in 65-nm CMOS

A TV-band white-space transmitter covering a 16x-wide spectrum from 54 to 864 MHz is described. It features a systematic codesign between the architecture and circuits to address the harmonic-mixing problem. Specifically, it incorporates two-stage 6-/14-path harmonic-rejection mixers and low-Q passive-RC/-CLC filters to manage the unwanted harmonic emission fully on chip, achieving an uncalibrated harmonic rejection ratio (HRR) of minimally 59.3 dB (16 samples) for all in-/out-band harmonics. The employed 8-/16-phase LO generator is based on injection-locked 4-/8-phase correctors and even-ratio-only frequency dividers to save the LO-path power (2.5 to 14.2 mW) while lowering the required reference LO frequency (432 to 864 MHz). Without any predistortion, the EVM tested under a 64-QAM OFDM digital-TV signal is 2.9% at 96 MHz, 3.3% at 384 MHz, and 4.0% at 600 MHz. The first (second) adjacent channel leakage ratio is -46 dBc ( -43 dBc) at 6 MHz (12 MHz) offset. The power consumption is 53.1 to 75.2 mW and active area is 0.93 mm 2 in 65-nm CMOS.
Spatio‐Temporal Simulation of the Field‐Scale Evolution of Organic Carbon over the Landscape

The spatial or temporal variability of soil has been extensively considered in the literature using either experimental or modeling approaches. However, only a few studies integrate both spatial and temporal dimensions. The aim of this paper is to present a method for field-scale simulations of the spatio-temporal evolution of topsoil organic C (OC) at the landscape scale over a few decades and under different management strategies. A virtual landscape with characteristics matching part of Brittany (France) was considered for the study. Stochastic simulations and regression analysis were used to simulate spatial fields with known spatial structures: short-range, medium-range, and long-range variability. These were then combined using an additive model of regionalization. Agricultural land use was simulated considering four different land uses: permanent pasture, temporary pasture, annual cereal crops, and maize (Zea mays L.). Land use evolution over time was simulated using transition matrices. Evolution of soil organic matter was estimated each year for each pixel through a rudimentary balance model that accounts for land use and the influence of soil waterlogging on mineralization rates. This spatio-temporal simulation approach at the landscape level allowed the simulation of several scales of soil variability including within-field variability. Spatial variability decreased drastically over time when only the influence of land use was considered. This effect on soil variability over the landscape may have implications for site-specific soil management and precision agriculture. The presence of redoximorphic conditions was found to maintain soil spatial variability.
A comparative approach to somatic cell nuclear transfer in the rhesus monkey.

BACKGROUND Despite the potential utility of primate somatic cell nuclear transfer (SCNT) to biomedical research and to the production of autologous embryonic stem (ES) cells for cell- or tissue-based therapy, a reliable method for SCNT is not yet available. Employing the rhesus monkey as a clinically relevant animal model, we have compared a conventional electrofusion method for SCNT with a one-step micromanipulation (OSM) method. METHODS A prospective, randomized trial was conducted using only oocytes that were mature [metaphase II (MII)] at collection and a fibroblast-like cell line as nuclear donor cells (fetal fibroblasts). The embryos produced were characterized for in vitro developmental potential, cell number, karyotype and expression of nuclear mitotic apparatus (NuMA) and OCT-4. RESULTS An in vitro blastocyst development rate of 24.4% was achieved with the OSM method, significantly higher than the 12.2% obtained following electrofusion. SCNT-produced embryos expressed normal karyotypes, cell numbers and NuMA and OCT-4 proteins in most cases. SCNT with male nuclear donor cells resulted in the production of male, SCNT blastocysts, eliminating the possibility of a parthenogenetic origin. Of the four fibroblast cell lines tested as nuclear donor cells, two supported the routine production of blastocysts following SCNT. CONCLUSIONS The application of a modified SCNT technique (OSM) followed by embryo culture in hamster embryo culture medium-10 (HECM-10) allows, for the first time, the routine production of SCNT blastocysts, most of which appear normal by immunochemical, cytochemical and in vitro developmental criteria. These embryos will provide a resource for isolating ES cells and for studies of nuclear reprogramming by monkey cytoplasts.
Towards unsupervised online word clustering

Understanding the bootstrapping process of speech representation in infants is one key issue towards systems which may provide humanlike speech recognition abilities some day. Until now, almost all current speech recognition systems have failed to integrate learning into the recognition process. Here we propose a system for unsupervised word-clustering, which is able to recognize and learn the structure of speech online in a unified framework. To do so we've extended HMM-based filler-free keyword spotting with acoustic model acquisition. To evaluate and control the dynamics of the combined acquisition-recognition process we propose measures for model activity, model correlation and speech coverage.
Experimental study on haptic communication of a human in a shared human-robot collaborative task

We aim at addressing in this paper the issue of non-verbal communication involved in a human-robot interaction. We first propose a taxonomy of assistance that an operator may expect from a partner during a long object manipulation task. Then, this paper presents a method to detect which kind of robot assistance is needed, thanks to the decoding of haptic cues conveyed by the operator. An experimental study on thirty subjects moving a long object together with a robot that is providing an assistance is introduced. A statistical analysis highlights the relationships between haptic measures and intentions of motion. This analysis shows that wrench measurements constitute an incomplete information to detect the operator's intention of motion.
1 CUE-ENHANCEMENT STRATEGIES FOR NATURAL VCV

Two sets of experiments to test the perceptual benefits of enhanci g i formation-rich regions of consonants in natural speech were performed. In the first set, hand-a nnotated consonantal regions of natural VCV stimuli were amplified to increase their sal ence, and filtered to stylize the cues they contained. In the second set, natural semantically unpre dictabl sentence (SUS) material was annotated and enhanced in the same way. Both sets of timuli were combined with speech-shaped noise and presented to normally-hearing listeners. Both sets of experiments showed statistically significant improvements in int elligibility as a result of enhancement, although the increase was greater for VCV than for SUS material. These results demonstrate the benefits gained from enhancement techniques which use know l dge about acoustic cues to phonetic contrasts to improve the resistance of speech to background noise.
ELECTRON MICROSCOPE STUDIES ON THE DEGRANULATION OF RABBIT PERITONEAL LEUKOCYTES DURING PHAGOCYTOSIS

Electron microscopic observations have established the mechanisms underlying degranulation of neutrophils and eosinophils during phagocytosis. The content of the granules is released into the phagocytic vacuole when their membranes fuse with the membrane lining the vacuole. The discharge mechanism appears to be applicable to the various morphological types of granules seen in rabbit polymorphs. It has been proposed that the release of material to the outside of the cell or the discharge of material into intracellular vacuoles, events involving membrane fusion, be termed "exoplasmosis. "
Linear perturbations of spatially locally homogeneous spacetimes

Methods and properties regarding the linear perturbations are dis- cussed for some spatially closed (vacuum) solutions of Einstein's equation. The main focus is on two kinds of spatially locally homogeneous solution; one is the Bianchi III (Thurston's H 2 × R) type, while the other is the Bianchi II (Thurston's Nil) type. With a brief summary of previous results on the Bianchi III perturbations, asymptotic solutions for the gauge-invariant variables for the Bianchi III are shown, with which (in)stability of the background solution is also examined. The issue of linear stability for a Bianchi II solution is still an open problem. To approach it, appropriate eigenfunctions are presented for an explicitly compactified Bianchi II manifold and based on that, some field equations on the Bianchi II background spacetime are studied. Differences be- tween perturbation analyses for Bianchi class B (to which Bianchi III belongs) and class A (to which Bianchi II belongs) are stressed for an intention to be helpful for applications to other models.
Players tracking and ball detection for an automatic tennis video annotation

This paper describes our algorithms for players tracking and ball detection for an automatic broadcast tennis video annotation. The system detects and tracks the players using a robust non-parametric procedure for estimating density gradients called the mean shift algorithm. The basic mean shift tracking algorithm assumes that the target object has to separate sufficiently from background, but this assumption is not always true especially when tracking is carried out in dynamic backgrounds such as in sport videos. To cope with this problem, in our proposed system, we embrace the motion segmentation and use the 8×8×8 color histogram to be feature distribution for mean shift tennis players tracking. In order to determine the players' actions precisely, the system also detect and track ball positions using frame differencing as well as applying some correlation techniques to eliminate false detections. Based on both players' motion patterns and ball positions, the system can precisely classify the players' action into backhand ground stroke and forehand ground stroke. Videos of broadcast tennis games downloaded from the Internet have been tested. The results show our system is able to precisely classify the player's actions with 83.7% precision and 82% recall rates.
A summation formula over the zeros of a combination of the associated Legendre functions with a physical application

By using the generalized Abel–Plana formula, we derive a summation formula for the series over the zeros of a combination of the associated Legendre functions with respect to the degree. The summation formula for the series over the zeros of the combination of the Bessel functions, previously discussed in the literature, is obtained as a limiting case. As an application we evaluate the Wightman function for a scalar field with a general curvature coupling parameter in the region between concentric spherical shells on a background of constant negative curvature space. For the Dirichlet boundary conditions the corresponding mode-sum contains the series over the zeros of the combination of the associated Legendre functions. The application of the summation formula allows us to present the Wightman function in the form of the sum of two integrals. The first one corresponds to the Wightman function for the geometry of a single spherical shell and the second one is induced by the presence of the second shell. The boundary-induced part in the vacuum expectation value of the field squared is investigated. For points away from the boundaries the corresponding renormalization procedure is reduced to that for the boundary-free part.
Human anthropomorphic gripper as an automation tool

This paper presents the design, development and implementation of a 14 DOF human anthropomorphic pneumatic gripper as a tool for teaching automation basics using pneumatics and PLCs. The dexterity of the human hand allows several types of power and precision grasps for interacting with various scenarios, these features have inspired the development of robotics mimicking the human hand in applications such as collaborative robotics workcells, where each finger is an actuated mechanism with a specific task. Collaborative actions through pneumatic and PLC programming basics using this hand allows enhancing the user's knowledge based on concepts and familiarity with the device. The pneumatic hand can be used on site, with the user directly operating it, and offline with a virtual reality tool for offering simultaneous accessible devices when multiple users need the hand. Robotics currently assists training surgical procedures, manipulation of elements in hazardous environments for us, kinematics, dynamics and path planning simulations for various industrial processes, or as didactic tools for inspiring school students for working with robotics. The pneumatic hand system is composed of an actuation, control and teleoperation subsystems, these interact for simulating the muscles, and the user's inputs for executing the chosen tasks.