Miracle-dz/UniFAR-FTUs huggingface dataset:
A model project for reproducible papers: critical temperature for the Ising model on a square lattice

In this paper we present a simple, yet typical simulation in statistical physics, consisting of large scale Monte Carlo simulations followed by an involved statistical analysis of the results. The purpose is to provide an example publication to explore tools for writing reproducible papers. The simulation estimates the critical temperature where the Ising model on the square lattice becomes magnetic to be Tc /J = 2.26934(6) using a finite size scaling analysis of the crossing points of Binder cumulants. We provide a virtual machine which can be used to reproduce all figures and results.
Event Detection in Soccer Videos through Text-based Localization and Audiovisual Analysis

This paper presents a framework for soccer event detection through joint textual, aural and visual feature analysis. Firstly, textual cues from online sporting resources are used to significantly reduce and localize the event search space. Then, analysis is performed based on generic rule-sets imposed on specific audiovisual feature properties to isolate the most compressed view of the events. Experiments conducted on 30-hours of soccer videos from various broadcasters show encouraging results for the detection of goals, penalties, yellow cards, red cards and substitutions.
Denyze Toffoli et Geoffrey Sockett How non-specialist students of English practice informal learning using web 2 . 0 tools

Avertissement Le contenu de ce site relève de la législation française sur la propriété intellectuelle et est la propriété exclusive de l'éditeur. Les œuvres figurant sur ce site peuvent être consultées et reproduites sur un support papier ou numérique sous réserve qu'elles soient strictement réservées à un usage soit personnel, soit scientifique ou pédagogique excluant toute exploitation commerciale. La reproduction devra obligatoirement mentionner l'éditeur, le nom de la revue, l'auteur et la référence du document. Toute autre reproduction est interdite sauf accord préalable de l'éditeur, en dehors des cas prévus par la législation en vigueur en France.
Visualizing 3D Flow of Black-Oil Reservoir Models on Arbitrary Surfaces Using Projected 2D Line Integral Convolution

In the oil industry, clear and unambiguous 3D flow visualization techniques are very important to inspect the results of numerical simulation of black-oil reservoir models. In this paper, we revisit the use of line integral convolution (LIC) for imaging 3D vector fields on arbitrary surfaces and apply it to reservoir visualization. We use a GPU-based method to image the tangential component using the conventional 2D LIC in projected screen space and propose the use of color to encode the normal component. To attach the flow imaging to the 3D surfaces, avoiding image flickering while manipulating the model, we propose a simple scheme based on randomly generated texture coordinate, avoiding the use of a solid 3D texture noise. For animation, we adjust the use of filters to ensure that the animation speed varies in accordance to the field magnitude. We also explore the visualization of multiphase (oil, gas, and water) flow.
Neurogenesis in adult mammalian hippocampus after ischemia: rodent versus primate models

The adult mammalian hippocampus harbors neural precursor cells capable of generating glial and neuronal cells. Their existence was demonstrated in both non-primate mammals and primates including humans, and recently has attracted a significant scientific interest focused on the precursor cell potential to replace lost brain cells. Proliferation and differentiation of hippocampal progenitors are affected by brain injury and are regulated by a variety of molecular signals. Brain ischemia is a major activator of these precursors as demonstrated by experimental models in rodents and monkeys. In rodent hippocampal formation, ischemia increases neurogenesis and gliogenesis in both dentate gyrus and cornu Ammonis. In monkeys, however, ischemia was unable to trigger production of new neurons in cornu Ammonis, while in dentate gyrus postischemic progenitor cell activation was at lower levels than in rodents. Thus, rodents and primates appear to differ in their precursor cells’ ability to perform neurogenesis. Unraveling the molecular machinery responsible for this interspecies discrepancy might reveal novel strategies to manipulate neural precursors for therapeutic purposes in humans. Biomedical Reviews 2005; 16: 1-11.
Can shared care deliver better outcomes for patients undergoing total hip replacement?

Abstract Objectives To assess whether shared care for patients undergoing total hip replacement delivers better outcomes compared to care as usual. Design Prospective, observational cohort study. Setting Two regions in the Netherlands where different organisational health care models have been implemented: a shared care setting (experimental group) and a care as usual setting (control group). Patients One hundred and fifteen patients undergoing total hip replacement: 56 in the experimental group and 59 in the control group. Main measures Functional health status according to the sickness impact profile, hip function, patient satisfaction and use of health care services. Results Two weeks before hip replacement both groups were comparable concerning patient characteristics, hip function and health status. The mean improvement of the total sickness impact profile score between two weeks before hip replacement and six months after was −1.92 in the shared care group, compared to −5.11 in care as usual group, a difference in favour of the control group (p=0.02). The mean length of hospital stay was comparable in both settings: 12.8 days in the shared care group and 13.2 days in the care as usual group. After hip replacement, compared to care as usual, patients in the shared care group received more homecare, with a higher frequency, and for a longer period of time. No differences in patient satisfaction between the two groups were found. Conclusions Six months after hip replacement, the health status of patients in the care as usual group, using significantly less home care, was better than the status of patients in the shared care group. Discussion The utilisation of home care after hip replacement should be critically appraised in view of the need to stimulate patients' independence.
Assessing psychosocial distress in diabetes: development of the diabetes distress scale.

OBJECTIVE The purpose of this study was to describe the development of the Diabetes Distress Scale (DDS), a new instrument for the assessment of diabetes-related emotional distress, based on four independent patient samples. RESEARCH DESIGN AND METHODS In consultation with patients and professionals from multiple disciplines, a preliminary scale of 28 items was developed, based a priori on four distress-related domains: emotional burden subscale, physician-related distress subscale, regimen-related distress subscale, and diabetes-related interpersonal distress. The new instrument was included in a larger battery of questionnaires used in diabetes studies at four diverse sites: waiting room at a primary care clinic (n = 200), waiting room at a diabetes specialty clinic (n = 179), a diabetes management study program (n = 167), and an ongoing diabetes management program (n = 158). RESULTS Exploratory factor analyses revealed four factors consistent across sites (involving 17 of the 28 items) that matched the critical content domains identified earlier. The correlation between the 28-item and 17-item scales was very high (r = 0.99). The mean correlation between the 17-item total score (DDS) and the four subscales was high (r = 0.82), but the pattern of interscale correlations suggested that the subscales, although not totally independent, tapped into relatively different areas of diabetes-related distress. Internal reliability of the DDS and the four subscales was adequate (alpha > 0.87), and validity coefficients yielded significant linkages with the Center for Epidemiological Studies Depression Scale, meal planning, exercise, and total cholesterol. Insulin users evidenced the highest mean DDS total scores, whereas diet-controlled subjects displayed the lowest scores (P < 0.001). CONCLUSIONS The DDS has a consistent, generalizable factor structure and good internal reliability and validity across four different clinical sites. The new instrument may serve as a valuable measure of diabetes-related emotional distress for use in research and clinical practice.
Generic -removal Algorithm for Weighted Automata

We present a new generic-removal algorithm for weighted automata and transducers deened over a semiring. The algorithm can be used with any semiring covered by our framework and works with any queue discipline adopted. It can be used in particular in the case of unweighted automata and transducers and weighted automata and transducers deened over the tropical semiring. It is based on a general shortest-distance algorithm that we brieey describe. We give a full description of the algorithm including its pseudocode and its running time complexity, discuss the more eecient case of acyclic automata, an on-they implementation of the algorithm and an approximation algorithm in the case of the semirings not covered by our framework. We also illustrate the use of the algorithm with several semirings.
Preserved frontal lobe oxygenation following calcium chloride for treatment of anesthesia-induced hypotension

Vasopressor agents may affect cerebral oxygenation (rScO2) as determined by near-infrared spectroscopy on the forehead. This case series evaluated the effect of calcium chloride vs. α and β-adrenergic receptor agonists on rScO2 in patients (n = 47) undergoing surgery during i.v. anesthesia. Mean arterial pressure (MAP) and cardiac output (CO) were assessed by Model-flow® and ephedrine (55 ± 3 vs. 74 ± 9 mmHg; 10 mg, n = 9), phenylephrine (51 ± 5 vs. 78 ± 9 mmHg, 0.1 mg, n = 11), adrenaline (53 ± 3 vs. 72 ± 11 mmHg; 1–2 μg, n = 6), noradrenaline (53 ± 5 vs. 72 ± 12 mmHg; 2–4 μg, n = 11), and calcium chloride (49 ± 7 vs. 57 ± 16 mmHg; 5 mmol, n = 10) increased MAP (all P < 0.05). CO increased with ephedrine (4.3 ± 0.9 vs. 5.3 ± 1.2, P < 0.05) and adrenaline (4.7 ± 1.2 vs. 5.9 ± 1.1 l/min; P = 0.07) but was not significantly affected by phenylephrine (3.9 ± 0.7 vs. 3.6 ± 1.0 l/min), noradrenaline (3.8 ± 1.2 vs. 3.7 ± 0.7 l/min), or calcium chloride (4.0 ± 1.4 vs. 4.1 ± 1.5 l/min). Following administration of β-adrenergic agents and calcium chloride rScO2 was preserved while after administration of α-adrenergic drugs rScO2 was reduced by app. 2% (P < 0.05). Following α-adrenergic drugs to treat anesthesia-induced hypotension tissue oxygenation is reduced while the use of β-adrenergic agonists and calcium chloride preserve tissue oxygenation.
Complete software defined RFID system using GNU radio

In this paper we describe a complete Radio Frequency Identification (RFID) system, reader and tag, using the approach of software defined radio (SDR). We use the open source GNU Radio development toolkit to implement this SDR. The advantage of this approach is the possibility of to implement and test RFID applications using a flexible software platform. RFID readers in SDR have already been developed by others researchers, and our main contribution is the implementation of an RFID tag in accordance with EPC Gen2 RFID standard. The system is evaluated and it shown that it works with good performance, and as an example of application we implemented a cryptography protocol proposed to RFID.
Energy-aware Load Balancing in Heterogeneous Cloud Data Centers

With the increasing popularity of cloud computing, its large energy consumption cannot only contribute to greenhouse gas emissions, but also result in the rising of the cost of operating a cloud data centers. Therefore, energy-aware load balancing is increasingly becoming a core and challenging issue in cloud computing. In this paper, we propose an energy efficient load balancing algorithm which takes advantage of both dynamic voltage/frequency scaling and virtual machine consolidation to reduce energy consumed by cloud infrastructures. Our experimental results indicate that, compared to a round robin algorithm for load balancing in cloud computing, the proposed algorithm can achieve up to 35.3% energy saving in heterogeneous cloud data center.
Speaker Recognition for Mobile User Authentication

This paper deals with a biometric solution for authentication on mobile devices. Among the possible biometric modalities, speaker recognition seems the most natural choice for a mobile phone. This work lies in the continuation of our previous work [1], where we evaluated a candidate algorithm in terms of performance and time processing. The proposed solution is implemented here as an Android application. Its performances are evaluated both on a public database and on an own made database. The obtained results are promising for well chosen parameters set, with an Equal Error Rate (EER) value of 4.52%.
Tidal decay of close planetary orbits

The 4.2-day orbit of the newly discovered planet around 51~Pegasi is formally unstable to tidal dissipation. However, the orbital decay time in this system is longer than the main-sequence lifetime of the central star. Given our best current understanding of tidal interactions, a planet of Jupiter's mass around a solar-like star could have dynamically survived in an orbit with a period as short as $\sim10\,$hr. Since radial velocities increase with decreasing period, we would expect to find those planets close to the tidal limit first and, unless this is a very unusual system, we would expect to find many more. We also consider the tidal stability of planets around more evolved stars and we re-examine in particular the question of whether the Earth can dynamically survive the red-giant phase in the evolution of the Sun.
Intertemporal Portfolio Choice under Multiple Types of Event Risks

This paper examines the effects of major event risk on the optimal intertemporal asset allocation in a continuous time setting. We start by firstly proposing a general framework in which we model three types of event risks: i) the individual jumps of asset prices, ii) the individual jumps of the underlying states; and iii) the joint jumps. Most previous papers in the portfolio choice literature can be included in the framework as special cases. We next illustrate the use of this framework in three examples and find i) hedging demand due to jumps are in general several times larger than that due to diffusions; ii) multiple types of jumps are not only supported by the US stock market data but also play different roles in agents' asset allocation. In particular, jumps in state induce little and negative hedging components under the individual state jumps and the joint jumps, respectively.
Grasping of Unknown Objects from a Table Top

This paper describes the development of a novel vision-based grasping system for unknown objects based on range images. We realize a synthesis of the calculated grasp points with a 3D model of a hand prosthesis, which we are using as gripper. We locally find grasp point candidates based on the shape of the object and validate the globally by checking collisions between the gripper and surrounding objects and the table top. Our approach integrates a robust object segmentation and grasp point detection for every object on a table in front of a 7-DOF robot arm. The algorithm analyzes the top surface of every object and outputs the generated grasp points and the required gripper pose to grasp the desired object. Additionally we can calculate the optimal opening angle of the gripper. The first experimental results show that the presented automated grasping system is able to generate successful grasp points for a wide range of different objects.
Detection and interpolation of replacement noise in motion picture sequences using 3D autoregressive modelling

Perhaps the most common distortion in degraded film or video material is the occurrence of blotches of varying colour randomly dispersed in each frame. The blotches are caused by the abrasion of the film or collection of dirt on the film as it passes through the projection apparatus. They manifest as flashes of bright and dark areas. The blotches represent regions of missing data (i.e. they replace the original data), and the paper discusses a model based technique for suppressing this artefact. <<ETX>>
Computation Pattern Driven Reuse of Manual Optimizations for GPGPUs

The wide application of General Purpose Graphic Processing Units (GPGPUs) results in large manual efforts on porting and optimizing algorithms on them. However, most existing automatic ways of generating GPGPU code fail to conduct optimization strategies regarding a specific computation and to reuse constantly evolving manual optimizations. In this paper, we present a computation pattern driven approach for computation-specific GPGPU code generation and optimization, which in turn reuses manual optimizations to a certain extent. We suggest language extensions to OpenMP, high-level data structure attributes, in order to assist the process of computation pattern matching and to help give users intuitive performance tuning parameters in the view of data structure attributes. We illustrate the feasibility of this approach through three important computation dwarfs, which are dense matrix, sparse matrix, and structured mesh computation in scientific computing. We also build a prototype OpenMP-to-CUDA translator that consists of computation pattern recognition and code template instantiation. The experimental results demonstrate the performance benefits of computation pattern driven method. To our best knowledge, it is the first work on reusing manual optimizations for GPGPUs with computation pattern driven approach.
A Data-Driven Approach to High Level Planning

Motion planning for complex systems such as legged robots and mobile manipulators has proven to be a difficult task for a variety of reasons: not only must planning software consider a high-dimensional configuration space, but it must reason dynamically about how to apply forces to the real world. Accomplishing such planning in real-time is harder still. One promising strategy is to take a high-level approach to planning by reasoning about sequences of discrete behavior primitives. For many plaforms this has proven far more tractable than global search from start to goal in the full configuration space of the robot. A successful example from the field of legged robots is footstep planning, which reasons over sequences of footsteps. High-level planning, however, introduces significant tradeoffs. Although the space of discrete behavior primitives is frequently more efficient to search, the planner depends on an underlying controller or policy to faithfully and effectively execute the primitives the planner has selected. Hence, the planner must have some model of the capabilities of the controller. Encoding such capability models can be a tedious and error-prone task: if the capability model is too conservative, the high-level planner may fail to find solutions for difficult problems; if the model is too liberal, the robot may fail to execute the selected behavior. The situation is compounded if the planner must reason about heterogeneous behaviors—imagine adding hopping and sliding behavior primitives to an existing footstep planner. It may not be clear how to translate estimates of the risk and cost of diverse actions into a common currency. This thesis aims to develop a general system for quickly and effectively selecting among heterogeneous behaviors for high-dimensional robotic navigation and manipulation. The central idea of the system is to store pre-planned and/or previously executed actions in a behavior library, which is then analyzed and queried via machine learning techniques. This data-driven approach can aid high-level planning in a number of ways. First and foremost, planning is accelerated by re-using the results of previous computation. In addition, the high-level planner can adapt its capability model as well as heuristic cost-to-go estimates over time in order to better reflect the capabilities of the system. The proposed high-level planning system will be demonstrated and evaluated on the Boston Dynamics Inc. LittleDog quadruped robot, as well as on another high-dimensional robotic platform.
Matching of Objects Moving Across Disjoint Cameras

Matching of single individuals as they move across disjoint camera views is a challenging task in video surveillance. In this paper, we present a novel algorithm capable of matching single individuals in such a scenario based on appearance features. In order to reduce the variable illumination effects in a typical disjoint camera environment, a cumulative color histogram transformation is first applied to the segmented moving object. Then, an incremental major color spectrum histogram representation (IMCSHR) is used to represent the appearance of a moving object and cope with small pose changes occurring along the track. An IMCHSR-based similarity measurement algorithm is also proposed to measure the similarity of any two segmented moving objects. A final step of post-matching integration along the object's track is eventually applied. Experimental results show that the proposed approach proved capable of providing correct matching in typical situations.
Biomimetic gait recognition based on motion contours wavelets analysis and mutual information

A novel gait expression and recognition algorithm is introduced here. After the wavelet transforming, a Spatial-Temporal Energy (STE) images from one gait sequence yield an approximation sub-image including the body's main expression, and three detail sub-images including the motion feature. With the mutual information the combination feature is got. The constructed combined gait feature made use of the microscopically analysis and orientation electivity of the wavelet transformation, which could reconstructed the lossless gait data. And those coefficients for the sub-images would be determined with the maximum mutual information made those discriminative features more outstanding. Hence the gait recognition is more similar to the mode of the human visual. This expression combined the static and the dynamic information of gait, which used selective judgement of the human to the motion for reference. And it deals with the problem of time-dependence and the gait cycle extraction. The proposed method is evaluated on the SOTON dataset, and the performance is compared with some algorithms. Experimental results demonstrate that the combined feature has the universality. And the method has higher recognition rate, as well as the merit of low space and time requirement.
Rubisco-bis-phosphate oxygenase ( RuBP )- A potential housekeeping gene for qPCR assays in tea

The present experiment is an effort to find a stable reference gene in Camellia sinensis and Camellia assamica under different biotic and abiotic stresses. This study evaluate the variation in gene expression across tea leaf tissues in nine experiments. The suitability of 18S rRNA , 26S rRNA , rubiscobis- phosphatase oxygenase (RuBP) and Camellia tubulin (CaT) as reference genes were validated by geNorm and BestKeeper programs. The finding reveals 18S rRNA and RuBP to be the most stably expressed housekeeping genes, the latter being the first report of its kind in tea. The finding paves the way for their application in accurate quantification of trait specific gene expression and other genomic studies in tea. Keywords: Camellia sinensis , Camellia assamica , qPCR , BestKeeper, geNorm, housekeeping gene