Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Community Structure of Named Entities from Web Pages and Blogs

Although community discovery based on social network has been studied extensively in the Web hyperlink environment, limited research has been done in the case of Web documents. The co-occurrence of Words and entities in sentences and documents usually implies some connections among them. Studying such connections may reveal important relationships. In this paper, we investigate the cooccurrences of named entities in Web pages and blogs, and mine communities among those entities. We show that identifying communities in such an environment can be transformed into a graph clustering problem. A hierarchical clustering algorithm is then proposed, which exploits triangle structures within the graph and the mutual information between vertices. Our empirical study shows that the proposed algorithm is promising in discovering communities from Web documents.
Plasticity and Fracture Behaviors of Marine Structural Steel, Part III: Experimental Study on Failure Strain

This is the third of several companion papers dealing with the derivation of material constants for ductile failure criteria under hydrostatic stress. It was observed that the ultimate engineering stresses and elongations at fracture from tensile tests for round specimens with various notch radii tended to increase and decrease, respectively, because of the stress triaxiality. The engineering stress curves from tests are compared with numerical simulation results, and it is proved that the curves from the two approaches very closely coincide. Failure strains are obtained from the equivalent plastic strain histories from numerical simulations at the time when the experimental engineering stress drops suddenly. After introducing the new concept of average stress triaxiality and accumulated average strain energy, the material constants of the Johnson-Cook failure criterion for critical energies of 100%, 50%, and 15% are presented. The experimental results obtained for EH-36 steel were in relatively good agreement with the 100% critical energy, whereas the literature states that aluminum fits with a 15% critical energy. Therefore, it is expected that a unified failure criterion for critical energy, which is available for most kinds of ductile materials, can be provided according to the used materials.
Adversarial Sets for Regularising Neural Link Predictors

In adversarial training, a set of models learn together by pursuing competing goals, usually defined on single data instances. However, in relational learning and other non-i.i. d domains, goals can also be defined over sets of instances. For example, a link predictor for the is-a relation needs to be consistent with the transitivity property: if is-a(x_1, x_2) and is-a(x_2, x_3) hold, is-a(x_1, x_3) needs to hold as well. Here we use such assumptions for deriving an inconsistency loss, measuring the degree to which the model violates the assumptions on an adversarially-generated set of examples. The training objective is defined as a minimax problem, where an adversary finds the most offending adversarial examples by maximising the inconsistency loss, and the model is trained by jointly minimising a supervised loss and the inconsistency loss on the adversarial examples. This yields the first method that can use function-free Horn clauses (as in Datalog) to regularise any neural link predictor, with complexity independent of the domain size. We show that for several link prediction models, the optimisation problem faced by the adversary has efficient closed-form solutions. Experiments on link prediction benchmarks indicate that given suitable prior knowledge, our method can significantly improve neural link predictors on all relevant metrics.
Self-learning Change-prone Class Prediction

Software change-prone class prediction can enhance software decision making activities during software maintenance (e.g., resource allocating). Many change-prone class prediction approaches have been proposed and most are effective in inter- version prediction within a project. These approaches usually build a supervised prediction model by learning from historical labeled dataset. However, a major challenge which remains is that this typical change-prone prediction setting cannot be used for new projects or projects with limited historical data. To address this challenge, we propose to tackle this task by adopting a novel prediction method which has not been used in change- prone prediction, namely self-learning method. The key idea of the self-learning method is to enable the change-prone prediction on new projects or projects with limited historical dataset by learning from itself. In this paper, we apply a state-of-art self- learning method, CLAMI, to change-prone prediction. In addition, we propose a novel self-learning approach CLAMI+ by extending CLAMI. The experiments among 14 open source projects show that the self-learning methods achieve comparable results to four typical inter-version baselines and the proposed CLAMI+ slightly improves the CLAMI method on average.
Fast Object Segmentation in Unconstrained Video

We present a technique for separating foreground objects from the background in a video. Our method is fast, fully automatic, and makes minimal assumptions about the video. This enables handling essentially unconstrained settings, including rapidly moving background, arbitrary object motion and appearance, and non-rigid deformations and articulations. In experiments on two datasets containing over 1400 video shots, our method outperforms a state-of-the-art background subtraction technique [4] as well as methods based on clustering point tracks [6, 18, 19]. Moreover, it performs comparably to recent video object segmentation methods based on object proposals [14, 16, 27], while being orders of magnitude faster.
Amyloid Biomarkers in Conformational Diseases at Face Value: A Systematic Review

Conformational diseases represent a new aspect of proteomic medicine where diagnostic and therapeutic paradigms are evolving. In this context, the early biomarkers for target cell failure (neurons, β-cells, etc.) represent a challenge to translational medicine and play a multidimensional role as biomarkers and potential therapeutic targets. This systematic review, which follows the PICO and Prisma methods, analyses this new-fangled multidimensionality, its strengths and limitations, and presents the future possibilities it opens up. The nuclear diagnosis methods are immunoassays: ELISA, immunodot, western blot, etc., while the therapeutic approach is focused on pharmaco- and molecular chaperones.
Influence of access site selection on PCI-related adverse events in patients with STEMI: meta-analysis of randomised controlled trials

Objective A meta-analysis of all randomised controlled studies that compare outcomes of transradial versus the transfemoral route to better define best practice in patients with ST elevation myocardial infarction (STEMI). Design A Medline and Embase search was conducted using the search terms ‘transradial,’ ‘radial’, ‘STEMI’, ‘myocardial’ and ‘infarction’. Setting Randomised controlled studies that compare outcomes of transradial versus the transfemoral route. Patients A total of nine studies were identified that consisted of 2977 patients with STEMI. Interventions Studies that compare outcomes of transradial versus the transfemoral route. Main outcome measures The primary clinical outcomes of interest were (1) mortality; (2) major adverse cardiac events (MACE); (3) major bleeding and (4) access site complications. Results Transradial PCI was associated with a reduction in mortality (OR 0.53, 95% CI 0.33 to 0.84; p=0.008), MACE (OR 0.62, 95% CI 0.43 to 0.90; p=0.012), major bleeding events (OR 0.63, 95% CI 0.35-1.12; p=0.12) and access site complications (OR 0.30, 95% CI 0.19 to 0.48; p<0.0001) compared with procedures performed through the femoral route. Conclusions This meta-analysis demonstrates a significant reduction in mortality, MACE and major access site complications associated with the transradial access site in STEMI. The meta-analysis supports the preferential use of radial access for STEMI PCI.
INVESTIGATION OF DEFORMATION AND FAILURE MECHANISMS IN NANOINDENTATION MECHANICS

This dissertation further extends nanoindentation to study the initiation of plasticity in single crystals in nanoscale stressed volumes, to the instrumented tests for damage evaluation and monitoring, and to the fundamental issues in deformation and failure mechanisms in relationship to the defect evolutions. In the first project, model Fe-Cr, Fe-Ni and Fe-Cr-Ni alloys that are the basis of many structural steels were synthesized as single crystals and characterized. The compositions investigated were Fe-15Cr, Fe-30Cr, Fe-30Ni and Fe-15Cr-15Ni (atomic percent). Several key mechanical properties were determined which will be useful in further studies of irradiation/deformation-induced defects. Incipient plasticity and slip characteristics were investigated by nanoindentation on (001) and ̅ surfaces. Finally, the effects of heterogeneous pop-in mechanisms are discussed in the context of incipient plasticity in the four different alloys. Moreover, the pop-in event mode and pop-in excursion are investigated. In previous literature, there are two kinds of pop-in mode: a single large displacement burst and multiple successive pop-ins. The size and microstructure effect are discussed for the two modes showing that multiple successive pop-ins is more likely to be appeared in fcc crystal with a smaller indenter tip. Also an analytical model is established to predict size effect in pop-in excursion for one large pop-in mode. The effect of the dislocation nucleation mechanism is discussed for the pop-in excursion. In the last project, the pinch-torsion test is designed to evaluate Li-ion cell safety. The failure mechanism of pinch-torsion test is examined by numerical simulations and comparisons to experimental observations. Finite element models are developed to
BareCloud: Bare-metal Analysis-based Evasive Malware Detection

The volume and the sophistication of malware are continuously increasing and evolving. Automated dynamic malware analysis is a widely-adopted approach for detecting malicious software. However, many recent malware samples try to evade detection by identifying the presence of the analysis environment itself, and refraining from performing malicious actions. Because of the sophistication of the techniques used by the malware authors, so far the analysis and detection of evasive malware has been largely a manual process. One approach to automatic detection of these evasive malware samples is to execute the same sample in multiple analysis environments, and then compare its behaviors, in the assumption that a deviation in the behavior is evidence of an attempt to evade one or more analysis systems. For this reason, it is important to provide a reference system (often called bare-metal) in which the malware is analyzed without the use of any detectable component. In this paper, we present BareCloud, an automated evasive malware detection system based on bare-metal dynamic malware analysis. Our bare-metal analysis system does not introduce any in-guest monitoring component into the malware execution platform. This makes our approach more transparent and robust against sophisticated evasion techniques. We compare the malware behavior observed in the bare-metal system with other popular malware analysis systems. We introduce a novel approach of hierarchical similarity-based malware behavior comparison to analyze the behavior of a sample in the various analysis systems. Our experiments show that our approach produces better evasion detection results compared to previous methods. BareCloud was able to automatically detect 5,835 evasive malware out of 110,005 recent samples.
Dual-Rod Correction and Instrumentation of Idiopathic Scoliosis with the Halm-Zielke Instrumentation

Study Design. A prospective clinical and radiographic evaluation of 45 consecutive patients with idiopathic adolescent and adult scoliosis treated with anterior dual-rod Halm-Zielke instrumentation. Objectives. Clinical and radiographic evaluation with a minimum follow-up of 2 years. Summary of Background Data. Halm-Zielke instrumentation was developed to eliminate the disadvantages of Zielke instrumentation in terms of lack of primary stability and a kyphogenic effect. Methods. All patients underwent an identical anterior surgical technique with the Halm-Zielke instrumentation of the primary curve. The system is composed of a lid-plate, which is fixed to the lateral aspect of the vertebral body with two screws: a sunk screw anteriorly and a ventral derotation spondylodesis (VDS) screw posteriorly. The lid-plate design provides the lowest possible implant profile. The longitudinal components consist of a threaded rod and a solid, fluted rod. Correction is performed with both the threaded and the solid rod. The solid rod allows derotation and correction of the sagittal plane and provides primary stability. Results. Preoperative curves ranged from 35° to 92° Cobb angle. Final correction of the frontal plane averaged 67% within the instrumented levels and 59% for the total primary curve. The apical vertebral rotation of the primary curve was corrected by 52% on average without loss of correction during follow-up. Thoracolumbar kyphosis was present in 11 patients and corrected in all cases from an average of 20° to 2° after surgery and to 8° at follow-up. We observed two cases of implant failure with one resulting in a pseudarthrosis. Conclusion. Halm-Zielke instrumentation proved to be a major improvement of the original VDS-Zielke. It eliminates the kyphogenic effect and provides primary stability.
Connexions from large, ipsilateral hind limb muscle and skin afferents to the rostral main cuneate nucleus and to the nucleus X region in the cat.

1. Evidence is presented for an input from ipsilateral hind limb group I muscle afferents and low threshold cutaneous afferents, to cells in the rostral division of the main cuneate nucleus (rMCN) and in the region of the descending vestibular nucleus and the nucleus X of Brodal & Pompeiano (1957a), the (DV‐X). 2. Thirteen group I‐rMCN cells were recorded from. The functional properties of these cells were similar to those of nueleus Z (Landgren & Silfvenius, 1971; Johansson & Silfvenius, 1977a, b). The cells were monosynaptically linked to spinal dorsolateral fascicle (DLF) fibres. Nine cells projected to the contralateral thalamus, i.e. a second group I hind limb bulbothalamic tract is described. Ten cells were synaptically activated from the ipsilateral cerebellum from the anterior projection zone of the dorsal spinocerebellar tract (DSCT). Axon‐collateral activation by DSCT fibres was established for two of these cells. They were both bulbothalamic relay cells. For the remaining eight cells, activated from the cerebellum, this was not proven. These cells could, however, either be linked to DSCT fibres or to short axon‐collaterals of a cell body of unknown location. A projection from the rMCN to the cerebellum is described and agrees with recent anatomical findings. Two cells were not excited from the cerebellum. 3. Four rMCN cells were activated by cutaneous afferents with their secondary axons in the DLF. Suggestive evidence for a bulbothalamic cutaneous hind limb path via the rMCN is presented. Two cells were activated from the cerebellum, presumably via axon‐collaterals of nonsegmental cells. 4. Eight group I‐DV‐X cells were recorded from. They were monosynaptically linked to spinal DLF fibres and resembled functionally the nucleus Z and rMCN cells when stimulated from the periphery. Two cells projected to the contralateral thalamus, and two others were synaptically excited. Seven cells were activated from the ipsilateral cerebellum. Two of them projected to the cerebellum, and three were synapitcally activated by axon‐collaterals of an undefined non‐segmental cell. 5. Two DV‐X cells which were activated by cutaneous afferents possibly had their spinal fibres deep in the dorsal column. Both were activated from the cerebellum, one by collaterals of a spinal axon. The functional organization of the three juxtaposed medullary nuclei, Z, rMCN and DV‐X is discussed.
Acquisition and pointing control for inter-satellite laser communications

Communications and range estimation between formation members are essential functions of formation flying. The inherent features of laser free-space link: small weight and mass, power efficiency, broadband, high precision, availability of state-of-the-art components, make it a very attractive candidate for micro-satellite formation flying missions. A single two-way laser link, performing simultaneously communication and range estimation functions between formation spacecraft is being investigated in the framework of Broadband Laser Inter-Satellite Link (BLSIL), a joint Israeli-German applied research project. A unique technique of pointing control system for an intersatellite laser communication and ranging link is presented. In this system, the same laser is used both as a beacon and as a transmitter. To maximize the traffic capacity of the link, the beamwidth is controlled from broad in the acquisition stage, to narrow in the tracking stage. Laser link pointing control presents difficult demands from the beam pointing precision. To establish and maintain the laser link between the satellites in orbit, pointing control must be fast and precise. A hierarchic two-level system control is proposed. The lower level controls the gimbals of the optical head of the electro-optical transceiver; the higher level is a fast closed loop that simultaneously controls the beamwidth and direction. It is the primary subject of the paper. Initial pointing acquisition assumes exchange of position-related information between the satellites to establish the initial line of sight (LOS). After initial acquisition a cooperative extremum-seeking algorithm is used for the fast higher level closed loop control. The paper gives a detailed description of the control algorithms. Representative simulations are presented.
Image Processing Using Smooth Ordering of its Patches

We propose an image processing scheme based on reordering of its patches. For a given corrupted image, we extract all patches with overlaps, refer to these as coordinates in high-dimensional space, and order them such that they are chained in the “shortest possible path,” essentially solving the traveling salesman problem. The obtained ordering applied to the corrupted image implies a permutation of the image pixels to what should be a regular signal. This enables us to obtain good recovery of the clean image by applying relatively simple one-dimensional smoothing operations (such as filtering or interpolation) to the reordered set of pixels. We explore the use of the proposed approach to image denoising and inpainting, and show promising results in both cases.
POLYETHYLENE GLYCOL ADDITION DOES NOT IMPROVE EXOGENOUS SURFACTANT FUNCTION IN AN EXPERIMENTAL MODEL OF MECONIUM ASPIRATION SYNDROME

Meconium (MEC) is a potent inactivator of pulmonary surfactant. The authors studied the effects of polyethylene glycol addition to the exogenous surfactant over the lung mechanics and volumes. Human meconium was administrated to newborn rabbits. Animals were ventilated for 20 minutes and dynamic compliance, ventilatory pressure, and tidal volume were recorded. Animals were randomized into 3 study groups: MEC group (without surfactant therapy); S100 group (100 mg/kg surfactant); and PEG group (100 mg/kg porcine surfactant plus 5% PEG). After ventilation, a pulmonary pressure-volume curve was built. Histological analysis was carried out to calculate the mean alveolar size (Lm) and the distortion index (DI). Both groups treated with surfactant showed higher values of dynamic pulmonary compliance and lower ventilatory pressure, compared with the MEC group (P <.05). S100 group had a larger maximum lung volume, V30, compared with the MEC group (P <.05). Lm and DI values were smaller in the groups treated with surfactant than in the MEC group (P <.05). No differences were observed between the S100 and PEG groups. Animals treated with surfactant showed significant improvement in pulmonary function as compared to nontreated animals. PEG added to exogenous surfactant did not improve lung mechanics or volumes.
Small Molecules Detected by Second-Harmonic Generation Modulate the Conformation of Monomeric α-Synuclein and Reduce Its Aggregation in Cells*

Background: α-Synuclein aggregation is associated with Parkinson disease. Results: Small molecules were identified by second-harmonic generation (SHG) that change α-synuclein conformation in vitro and reduce the aggregation of protein in cells. Conclusion: Conformation plays a role in α-synuclein aggregation in cells. Significance: Small molecules that modulate the conformation of α-synuclein and reduce its aggregation could be developed into therapeutics for Parkinson disease. Proteins are structurally dynamic molecules that perform specialized functions through unique conformational changes accessible in physiological environments. An ability to specifically and selectively control protein function via conformational modulation is an important goal for development of novel therapeutics and studies of protein mechanism in biological networks and disease. Here we applied a second-harmonic generation-based technique for studying protein conformation in solution and in real time to the intrinsically disordered, Parkinson disease related protein α-synuclein. From a fragment library, we identified small molecule modulators that bind to monomeric α-synuclein in vitro and significantly reduce α-synuclein aggregation in a neuronal cell culture model. Our results indicate that the conformation of α-synuclein is linked to the aggregation of protein in cells. They also provide support for a therapeutic strategy of targeting specific conformations of the protein to suppress or control its aggregation.
“Economic man” in cross-cultural perspective: Behavioral experiments in 15 small-scale societies

Researchers from across the social sciences have found consistent deviations from the predictions of the canonical model of self-interest in hundreds of experiments from around the world. This research, however, cannot determine whether the uniformity results from universal patterns of human behavior or from the limited cultural variation available among the university students used in virtually all prior experimental work. To address this, we undertook a cross-cultural study of behavior in ultimatum, public goods, and dictator games in a range of small-scale societies exhibiting a wide variety of economic and cultural conditions. We found, first, that the canonical model – based on self-interest – fails in all of the societies studied. Second, our data reveal substantially more behavioral variability across social groups than has been found in previous research. Third, group-level differences in economic organization and the structure of social interactions explain a substantial portion of the behavioral variation across societies: the higher the degree of market integration and the higher the payoffs to cooperation in everyday life, the greater the level of prosociality expressed in experimental games. Fourth, the available individual-level economic and demographic variables do not consistently explain game behavior, either within or across groups. Fifth, in many cases experimental play appears to reflect the common interactional patterns of everyday life.