Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic indexing of PDF documents with ontologies

Indexing large bodies of data is necessary to enable satisfactory search results. Ontologies serve as fixed vocabularies to index data from different viewpoints. We describe how AIDAS, a software tool, automatically divides the source data (PDF documents) into reusable chunks, how it automatically indexes these chunks and stores them in a database to enable reuse.
Towards Next Generation Resource Management at Extreme-Scales

With the exponential growth of distributed systems in both FLOPS and parallelism (number of cores/threads), scientific applications are growing more diverse with various workloads. These workloads include traditional large-scale high performance computing (HPC) MPI jobs, and HPC ensemble workloads that support the investigation of parameter sweeps using many small-scale coordinated jobs, as well as the fine-grained loosely-coupled many-task computing (MTC) workloads. Delivering high throughput and low latency for all the workloads has driven us designing and implementing the next-generation resource management systems that are magnitudes more scalable and available than today's centralized batchscheduled ones at extreme-scales for both MTC and HPC applications. We devised a generic taxonomy to explore the design choices for extreme-scale system services, and proposed that the key-value stores could serve as a viable building block for scalable distributed system services. We designed and developed fullydistributed architectures for next-generation resource management systems, which are radically different from the traditional centralized architecture; we also proposed the distributed data-aware work stealing and resource stealing techniques to achieve distributed workload and resource balancing at extreme-scales. We studied the distributed architectures with the proposed techniques through simulations (SimMatrix and SimSLURM++) up to exascale with millions of nodes, as well as through real systems (MATRIX & SLURM++) at thousands of nodes’ scales. We are currently working on pushing both MATRX (a fullydistributed resource management system for MTC applications) and SLURM++ (a partition-based fullydistributed resource management system for HPC applications) to support the running of real scientific MTC and HPC workloads at large scales.
The research of the SDK based on the virtual surgery simulation system

With the development of computer technology, virtual surgery simulation system is gradually coming into our sight. It has many advantages, such as low cost of medical training, high reusability and using less biological organizations. But the programmers need to do some repetitive work again and again because of the diversity between different kinds of surgeries. So the SDK based on the virtual surgery simulation system was proposed. It contains some basic modules which are frequently used in development process, executable programs and technical documentations. By calling the corresponding API, it can improve the efficiency of the virtual surgery system development, reduce the development cycle and provide great convenience for developers.
An unsupervised approach to color video thresholding

Thresholding color video images is challenging because of the low spatial resolution and the complex backgrounds. This paper investigates the issue of thresholding these images by reducing the number of colors in order to improve automated text detection and recognition. An unsupervised thresholding approach is presented which reduces the background complexity while retaining the important text character pixels. The experiments show that our proposed thresholding approach performs significantly better than simple image histogram-based methods, which generally do not produce satisfactory results.
A system based on a modified version of the FCM algorithm for profiling web users from access log

In this paper, we present a system based on an appropriately targeted version of the well-known fuzzy C-means (FCM) algorithm to determine a small number of profiles of typical Web site users from the Web access log. These profiles can be extremely useful, for instance, to customize the Web site, or to send personalized advertisements. After filtering the access log, for instance, by eliminating occasional users, the FCM algorithm clusters the users of the Web site into groups characterized by a set of common interests and represented by a prototype, which defines the profile of the group typical member. To show the effectiveness of our system, we describe how the profiles determined by the FCM algorithm are a concise representation of the association rules discovered applying the well-known A-priori algorithm to the raw access log data.
Identification of the Victims of a Mass Fatality Incident based on nuclear DNA evidence

This paper focuses on the use of nuclear DNA Short Tandem Repeat traits for the identification of the victims of a Mass Fatality Incident. The goal of the analysis is the assessment of the identification probabilities concerning the recovered victims. Identification hypotheses are evaluated conditionally to the DNA evidence observed both on the recovered victims and on the relatives of the missing persons disappeared in the tragical event. After specifying a set of conditional independence assertions suitable for the problem, an inference strategy is provided, treating some points to achieve computational efficiency. Alternative solutions to the problem will also be illustrated for comparison purposes. Finally , the proposal is tested through the simulation of a Mass Fatality Incident and the 1 results are compared with the considered alternative solutions.
Novel Approaches to the Indexing of Moving Object Trajectories

The domain of spatiotemporal applications is a treasure trove of new types of data and queries. However, work in this area is guided by related research from the spatial and temporal domains, so far, with little attention towards the true nature of spatiotemporal phenomena. In this work, the focus is on a spatiotemporal sub-domain, namely the trajectories of moving point objects. We present new types of spatiotemporal queries, as well as algorithms to process those. Further, we introduce two access methods this kind of data, namely the Spatio-Temporal R-tree (STR-tree) and the Trajectory-Bundle tree (TB-tree). The former is an R-tree based access method that considers the trajectory identity in the index as well, while the latter is a hybrid structure, which preserves trajectories as well as allows for R-tree typical range search in the data. We present performance studies that compare the two indices with the R-tree (appropriately modified, for a fair comparison) under a varying set of spatiotemporal queries, and we provide guidelines for a successful choice among them.
Applying Multiplexing Characterization to VBR Video Traffic

This paper reveals a missing factor in the modeling of long range dependent traac streams. We show that modeling a long range dependent traac stream by tting only the mean, variance and Hurst parameter is not possible, and an additional parameter, related to the \level of aggregation" in the stream, is required to accurately model a realistic traac stream. We show that the M/Pareto model can be used to successfully represent a general long range dependent traac stream, once this parameter is tted. This missing factor is shown to be relevant in the modeling not only of aggregated data streams, but also in the modeling of non-aggregated traac sources, such as individual variable bit rate video streams.
Dependency Tree Representations of Predicate-Argument Structures

We present a novel annotation framework for representing predicate-argument structures, which uses dependency trees to encode the syntactic and semantic roles of a sentence simultaneously. The main contribution is a semantic role transmission model, which eliminates the structural gap between syntax and shallow semantics, making them compatible. A Chinese semantic treebank was built under the proposed framework, and the first release containing about 14K sentences is made freely available. The proposed framework enables semantic role labeling to be solved as a sequence labeling task, and experiments show that standard sequence labelers can give competitive performance on the new treebank compared with state-of-the-art graph structure models.
A review of ultrasonographic methods for the assessment of the anterior cruciate ligament in patients with knee instability – diagnostics using a posterior approach

Abstract Aim The purpose of the study was to improve the ultrasonographic assessment of the anterior cruciate ligament by an inclusion of a dynamic element. The proposed functional modification aims to restore normal posterior cruciate ligament tension, which is associated with a visible change in the ligament shape. This method reduces the risk of an error resulting from subjectively assessing the shape of the posterior cruciate ligament. It should be also emphasized that the method combined with other ultrasound anterior cruciate ligament assessment techniques helps increase diagnostic accuracy. Methods Ultrasonography is used as an adjunctive technique in the diagnosis of anterior cruciate ligament injury. The paper presents a sonographic technique for the assessment of suspected anterior cruciate ligament insufficiency supplemented by the use of a dynamic examination. This technique can be recommended as an additional procedure in routine ultrasound diagnostics of anterior cruciate ligament injuries. Results Supplementing routine ultrasonography with the dynamic assessment of posterior cruciate ligament shape changes in patients with suspected anterior cruciate ligament injury reduces the risk of subjective errors and increases diagnostic accuracy. This is important especially in cases of minor anterior knee instability and bilateral anterior knee instability. Conclusions An assessment of changes in posterior cruciate ligament using a dynamic ultrasound examination effectively complements routine sonographic diagnostic techniques for anterior cruciate ligament insufficiency.
Mechanical properties of a micron-sized SCS film in a high-temperature environment

The effects of varying temperature on the mechanical properties of a micron-sized single-crystal silicon (SCS) film were investigated using an ‘on-chip’ tensile test. Young's modulus slightly decreased as the test temperature increased from room temperature (RT) to 500 °C. Furthermore, the fracture stress at 500 °C decreased to 1.84 GPa, which is about 32% of that at RT. The stress–strain relationship of the SCS film at 400 °C and 500 °C showed elastic–plastic deformation, and SEM images showed crossed slip lines on the side surface of the fractured specimen. From the measured stress–strain relationship, plastic strain in micron-sized silicon seems to have occurred at temperatures lower than the brittle-to-ductile transition temperature in bulk silicon.
Simultaneous Effects of Light Intensity and Phosphorus Supply on the Sterol Content of Phytoplankton

Sterol profiles of microalgae and their change with environmental conditions are of great interest in ecological food web research and taxonomic studies alike. Here, we investigated effects of light intensity and phosphorus supply on the sterol content of phytoplankton and assessed potential interactive effects of these important environmental factors on the sterol composition of algae. We identified sterol contents of four common phytoplankton genera, Scenedesmus, Chlamydomonas, Cryptomonas and Cyclotella, and analysed the change in sterol content with varying light intensities in both a high-phosphorus and a low-phosphorus approach. Sterol contents increased significantly with increasing light in three out of four species. Phosphorus-limitation reversed the change of sterol content with light intensity, i.e., sterol content decreased with increasing light at low phosphorus supply. Generally sterol contents were lower in low-phosphorus cultures. In conclusion, both light and phosphorus conditions strongly affect the sterol composition of algae and hence should be considered in ecological and taxonomic studies investigating the biochemical composition of algae. Data suggest a possible sterol limitation of growth and reproduction of herbivorous crustacean zooplankton during summer when high light intensities and low phosphorus supply decrease sterol contents of algae.
Numerical Prediction on Cookoff Explosion of Explosive under Strong Confinement

The cookoff of explosives is of great concern for the safety assurance of explosive devices in storage, transportation and handling. It may occur in the situation that explosive devices are subjected to the external heating stimuli such as fire or high-temperature surrounding. In order to gain ever-increasing knowledge toward the cookoff explosion of explosives, we establish numerical program to predict the cookoff explosion of explosive in a metal container. The computational formulation and methods are given in detail. The thermal decomposition and temperature variation in the interior of explosive were found corresponding to several typical external heating conditions. The results demonstrate that the method is beneficial to the future study on this subject.
Adaptive handoff algorithm for efficient network resource utilization

In this paper we propose an adaptive handoff algorithm based on the "threshold-with-hysteresis". In general, such handoff algorithms are proposed to improve the handoff decision for a specific user Our algorithm aims to provide effective network utilization for all users. To realize the handoff decision based on the mobile nodes, the agent advertisements include information of the congestion status at the base station in the algorithm. For implementing the algorithm to Mobile IP, we also propose the system architecture with a QoS mechanism. The simulation experiment shows that our proposed algorithm improves the average handoff blocking rate than the previous method in spite of low overhead of our expansion.
Recruitment of CRABS CLAW to promote nectary development within the eudicot clade

Nectaries are secretory organs that are widely present in flowering plants that function to attract floral pollinators. Owing to diversity in nectary positions and structures, they are thought to have originated multiple times during angiosperm evolution, with their potential contribution to the diversification of flowering plants and pollinating animals being considerable. We investigated the genetic basis of diverse nectary forms in eudicot angiosperm species using CRABS CLAW (CRC), a gene required for nectaries in Arabidopsis. CRC expression is conserved in morphologically different nectaries from several core eudicot species and is required for nectary development in both rosids and asterids, two major phylogenetic lineages of eudicots. However, in a basal eudicot species, no evidence of CRC expression in nectaries was found. Considering the phylogenetic distribution of nectary positions and CRC expression analyses in eudicots, we propose that diverse nectaries in core eudicots share conserved CRC gene regulation, and that derived nectary positions in eudicots have altered regulation of CRC. As the ancestral function of CRC lies in the regulation of carpel development, it may have been co-opted as a regulator of nectary development within the eudicots, concomitant with the association of nectaries with reproductive organs in derived lineages.
The absence of H-2 antigens from mouse pancreatic beta-cells demonstrated by immunoferritin labeling

Islets of Langerhans were isolated from mouse pancreases and fixed in periodatelysine-paraformaldehyde. The fixed islets were then dissociated with trypsin and EDTA to yield cell suspensions that contained mainly four cell types; beta-cells, capillary endothelial cells, acinar cells, and pancreatic duct epithelial cells. The nonislet cells were probably associated wtih the surface of the isolated islets. The H-2 antigens of the dissociated pancreatic cells were labeled with an immunoferritin technique. Pancreatic duct epithelial cells showed specific ferritin labeling on their lateral cell membranes but not on apical microvillus membranes. Acinar cells were also labeled on lateral membranes, and the capillary endothelial cells were labeled on both the luminal and albuminal aspects of their surface membranes. In contrast, pancreatic beta-cells were unlabeled. The number of ferritin molecules per unit length of beta-cell membrane was essentially the same on cells from the antigenic strain and the congeneic control strain, and was about 200-fold less than on the labeled pancreatic duct epithelial cell lateral membranes. Pancreatic beta-cells are therefore one of six known epithelial cell types on which H-2 antigens can not be detected by immunoferritin labeling. The apparent absence of H-2 antigens from these cells suggests a study of the viability of beta-cells in allografts of dissociated islet cells, in which the beta-cell would not be in contact with antigenic cells. Such studies might lead to a new approach to the control of diabetes mellitus by transplantation.
Virtual Network Embedding with Opportunistic Resource Sharing

Network virtualization has emerged as a promising approach to overcome the ossification of the Internet. A major challenge in network virtualization is the so-called virtual network embedding problem, which deals with the efficient embedding of virtual networks with resource constraints into a shared substrate network. A number of heuristics have been proposed to cope with the NP-hardness of this problem; however, all of the existing proposals reserve fixed resources throughout the entire lifetime of a virtual network. In this paper, we re-examine this problem with the position that time-varying resource requirements of virtual networks should be taken into consideration, and we present an opportunistic resource sharing-based mapping framework, ORS, where substrate resources are opportunistically shared among multiple virtual networks. We formulate the time slot assignment as an optimization problem; then, we prove the decision version of the problem to be NP-hard in the strong sense. Observing the resemblance between our problem and the bin packing problem, we adopt the core idea of first-fit and propose two practical solutions: first-fit by collision probability (CFF) and first-fit by expectation of indicators' sum (EFF). Simulation results show that ORS provides a more efficient utilization of substrate resources than two state-of-the-art fixed-resource embedding schemes.
Discrete Differential Evolution Strategy and its Numerical Application

Differential evolution is a simple but powerful parallel global search optimization algorithm, which has been successfully used to solve single-objective optimization problems. In this paper, a novel discrete differential evolution strategy (D2E) is proposed to enhance the ability of solving the numerical optimization problems. D2E adopts the difference information from the binary evolutionary individuals and self-adaptive parameter adjustment to effectively explore the global solution space. The results of numerical simulations demonstrate that the proposed strategy is feasible and efficient, has the better metrics performances.
An extrinsic calibration method for 3D range surface sensors: an application in radiotherapy patient positioning

The use of 3D surface sensor has been recently proposed for patient positioning in radiotherapy treatments. In this kind of applications, relating the coordinate system of 3d sensor with the coordinate system of treatment's room is crucial and needs a sensor's calibration. Sensor's calibration depends of its measuring principle; so calibrating a time-of-fly sensor has some differences to calibrating an active triangulation sensor. Additionally the intrinsic calibration requires knowing the internal parameters of sensor, which are frequently unknown for final user. This work presents a method for calibrating 3D surface sensor independently of its measuring principle. It uses directly the cloud of points to retrieve the extrinsic parameters, relating the virtual sensor space with a real coordinate system (three laser's beams of a radiotherapy room). A comparison between two different calibrations objects is presented. The use of 3D points allows a flexible, accurate and robust extrinsic calibration. Tests results show that it is possible to relate two coordinates systems with less of 1.2 mm error
Exogenous and endogenous adenosine inhibits fetal calf serum-induced growth of rat cardiac fibroblasts: role of A2B receptors.

BACKGROUND Because proliferation of cardiac fibroblasts participates in cardiac hypertrophy/remodeling associated with hypertension and myocardial infarction, it is important to elucidate factors regulating cardiac fibroblast proliferation. Adenosine, a nucleoside abundantly produced by cardiac cells, is antimitogenic vis-à-vis vascular smooth muscle cells; however, the effect of adenosine on cardiac fibroblast proliferation is unknown. The objective of this study was to characterize the effects of exogenous and endogenous (cardiac fibroblast-derived) adenosine on cardiac fibroblast proliferation. METHODS AND RESULTS Growth-arrested cardiac fibroblasts were stimulated with 2.5% FCS in the presence and absence of adenosine, 2-chloroadenosine (stable adenosine analogue), or modulators of adenosine levels, including (1) erythro-9-(2-hydroxy-3-nonyl) adenine (EHNA; adenosine deaminase inhibitor); (2) dipyridamole (adenosine transport blocker); and (3) iodotubericidin (adenosine kinase inhibitor). All of these agents inhibited, in a concentration-dependent manner, FCS-induced cardiac fibroblast proliferation as assessed by DNA synthesis ([3H]thymidine incorporation) and cell counting. EHNA, dipyridamole, and iodotubericidin increased extracellular levels of adenosine by 2.3- to 5.6-fold when added separately to cardiac fibroblasts, and EHNA+iodotubericidin or EHNA+iodotubericidin+dipyridamole increased extracellular adenosine levels by >690-fold. Both KF17837 (selective A2 antagonist) and DPSPX (nonselective A2 antagonist) but not DPCPX (selective A1 antagonist) blocked the antimitogenic effects of 2-chloroadenosine, EHNA, and dipyridamole on DNA synthesis, suggesting the involvement of A2A and/or A2B but excluding the participation of A1 receptors. The lack of effect of CGS21680 (selective A2A agonist) excluded involvement of A2A receptors and suggested a major role for A2B receptors. This conclusion was confirmed by the rank order potencies of four adenosine analogues. CONCLUSIONS Cardiac fibroblasts synthesize adenosine, and exogenous and cardiac fibroblast-derived adenosine inhibits cardiac fibroblast proliferation via activation of A2B receptors. Cardiac fibroblast-derived adenosine may regulate cardiac hypertrophy and/or remodeling by modulating cardiac fibroblast proliferation.
Greenberg's conjecture and units in multiple Z_p-extensions

In this paper we prove Greenberg's pseudo-null conjecture for the field of p-th roots of unity in the case that p exactly divides the class number and the index of the global units in the local units. We also generalize to the case of multiple Z_p-extensions a theorem of Iwasawa on the Kummer extension of the cyclotomic Z_p-extension generated by p-power roots of units .
The relaxation dynamics of a simple glass former confined in a pore

We use molecular dynamics computer simulations to investigate the relaxation dynamics of a binary Lennard-Jones liquid confined in a narrow pore. We find that this dynamics is strongly influenced by the confinement in that time correlation functions are much more stretched than in the bulk. By investigating the motion of the particles as a function of their distance from the wall, we can show that this stretching is due to a spatial heterogeneity in the dynamics in that the relaxation time depends strongly on this distance.