Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Base Unification via Sense Embeddings and Disambiguation

We present KB-UNIFY, a novel approach for integrating the output of different Open Information Extraction systems into a single unified and fully disambiguated knowledge repository. KB-UNIFY consists of three main steps: (1) disambiguation of relation argument pairs via a sensebased vector representation and a large unified sense inventory; (2) ranking of semantic relations according to their degree of specificity; (3) cross-resource relation alignment and merging based on the semantic similarity of domains and ranges. We tested KB-UNIFY on a set of four heterogeneous knowledge bases, obtaining high-quality results. We discuss and provide evaluations at each stage, and release output and evaluation data for the use and scrutiny of the community 1 .
Is Satisfaction Among Orthopaedic Trauma Patients Predicted by Depression and Activation Levels?

Objectives: Among orthopaedic trauma patients, little is known regarding the relationship between patient satisfaction and patient levels of depression and “activation” (level of involvement of patient in his or her own care). Our hypothesis was that satisfaction is correlated to levels of depression and activation. Design: Patient questionnaires. Setting: Level 1 trauma center. Patients: One hundred twenty-four patients with at least one fracture. Intervention: Patients were evaluated at orthopaedic trauma clinics 6 weeks or longer after injury. Main Outcome Measures: Patient Satisfaction Questionnaire (PSQ), Patient Activation Measure, and Patient Health Questionnaire, a screening and evaluation tool for the presence and severity of depression. Spearman correlation coefficients assessed the relationship between activation level and depression severity with PSQ domains. Bivariate and multivariate linear regression models determined independent effects of depression and activation on general satisfaction. Results: Patient satisfaction was moderate to high in general (mean score, 4.17). Spearman correlation coefficients were high for patient activation and all PSQ domains (generally >0.3, P < 0.05). Correlation coefficients were weaker for depression and PSQ domains (rho range, 0.16–0.33). Final multivariate linear regression model indicated improvement in general satisfaction of 0.14 with increasing patient activation. A decrease in general satisfaction of −0.03 was noted with increasing Patient Health Questionnaire depression score. Conclusions: Patient satisfaction is strongly correlated with patient activation but less correlated with the presence of depression. Patient satisfaction after orthopaedic trauma might be improved by encouraging and coaching patients on how to be more involved in their own health care. Level of Evidence: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
Sky computing

Increasing the IT infrastructure without worrying about constraints like location, power, heating/cooling and other has overcome the best expectations from just a few years ago. Yet, the Cloud wide spawn has opened a new window of development by combining groups of Clouds: Sky Computing. The Clouds in the Sky essentially blend efforts. How to manage these Clouds and to deploy applications becomes an upcoming challenge. A good example is the use of High Performance Computing on the Cloud, which would significantly drop costs and would encourage low budget projects.
Visibility distance estimation based on structure from motion

It is obvious to say that perception is necessary to drive. Futhermore we can say that a good visibility is a guaranty for passengers security. The driver will adapt the vehicle speed to the offered visibility. Strong visibility reductions (dense fog for instance) are conditions of risk of accident. We therefore propose here a method to perform an onboard estimation of the visibility distance. Once this estimate is obtained, assistance could be offered to the driver (eg if it runs at a speed not adapted to the current visibility) or to the road infrastructure management so that it can inform other users of risk on his road network. This method uses images acquired by an onboard camera filming the scene and the estimation of vehicle motion. Thus, from this information we will explain how we can achieve a spatial partial structure reconstruction to estimate the visibility distance.
A multiregion general equilibrium analysis of fiscal consolidation in South Africa

A multiregion applied general equilibrium model is used to examine the financial interactions among spheres of government in the context of fiscal consolidation. The framework combines nine regional submodels interacting through the trading of goods and services and the mobility of labor and capital. The model integrates intergovernmental fiscal transfers, which play an important role in reducing the disparity in living standards between regions. The analysis demonstrates that the current intergovernmental revenue transfer system has significant inter- and intraregional equity effects, although its nationwide impact is less important. Reducing intergovernmental transfers leads to a reduction in welfare in the four regions where the net transfers were initially positive (Limpopo, Eastern Cape, KwaZulu-Natal, and North West Province). In contrast, welfare increases in the five other regions (Northern Cape, Mpumalanga, Free State, Gauteng, and the Western Cape). When transfer revenues fall and, consequently, regional and local government revenues drop, poor households are the most affected, as they depend more on public services that are essentially financed by governments. When the government's fiscal position improves, it is also poor households that benefit more from additional government expenses.
All-pairs shortest paths for unweighted undirected graphs in o(mn) time

We revisit the all-pairs-shortest-paths problem for an unweighted undirected graph with <i>n</i> vertices and <i>m</i> edges. We present new algorithms with the following running times: { <i>O</i>(<i>mn</i>/log <i>n</i>) if <i>m</i> > <i>n</i> log <i>n</i> log log log <i>n</i> <i>O</i>(<i>mn</i> log log <i>n</i>/log <i>n</i>) if <i>m</i> > <i>n</i> log log <i>n</i> <i>O</i>(<i>n</i><sup>2</sup> log<sup>2</sup> log <i>n</i>/log <i>n</i>) if <i>m</i> ≤ <i>n</i> log log <i>n</i>. These represent the best time bounds known for the problem for all <i>m</i>≪ <i>n</i><sup>1.376</sup>. We also obtain a similar type of result for the diameter problem for unweighted directed graphs.
Serum concentrations of vitamin D and parathyroid hormone and prevalent metabolic syndrome among adults in the United States

Background: Some reports suggest that concentrations of vitamin D are inversely, whereas concentrations of parathyroid hormone (PTH) are directly, associated with prevalent metabolic syndrome. Because of lingering uncertainty about these associations, we examined the cross‐sectional associations between serum concentrations of 25‐hydroxyvitamin D3 and PTH with metabolic syndrome in a representative sample of adults in the US.
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters

Performance and power are critical design constraints in today's high-end computing systems. Reducing power consumption without impacting system performance is a challenge for the HPC community. We present a runtime system (CPU MISER) and an integrated performance model for performance-directed, power-aware cluster computing. CPU MISER supports system-wide, application-independent, fine-grain, dynamic voltage and frequency scaling (DVFS) based power management for a generic power-aware cluster. Experimental results show that CPU MISER can achieve as much as 20% energy savings for the NAS parallel benchmarks. In addition to energy savings, CPU MISER is able to constrain performance loss for most applications within user-specified limits. These constraints are achieved through accurate performance modeling and prediction, coupled with advanced control techniques.
Trojan p16 peptide suppresses pancreatic cancer growth and prolongs survival in mice.

PURPOSE The tumor suppressor gene p16INK4A is inactivated frequently in a large number of human cancers, and many investigators have attempted to restore the function of p16 using the p16 wild-type gene and viral vectors. In this study, we treated the tumor-bearing animals with the p16-derived synthetic peptide coupled with the Antennapedia carrier sequence, which we designated as Trojan p16 peptide. EXPERIMENTAL DESIGN Injections (i.p.) of the Trojan p16 peptide (100 microg/mouse/day) were given for 3 weeks in the AsPC-1 and BxPC-3 s.c. tumor models. Tumor growth, histopathology, and TUNEL staining of the tumor and toxicity of the animals were evaluated. To examine its influence on the survival of tumor-bearing mice, Trojan p16 was administered in the AsPC-1 peritoneal dissemination model. RESULTS In the AsPC-1 s.c. tumor model, a significant growth inhibition was obtained by the Trojan p16 treatment when compared with the three control treatments, i.e., vehicle, unconjugated form of p16, or Trojan peptide alone. Tumor growth inhibition was almost complete in the BxPC-3 tumor, a relatively slow growing tumor. Neither hematological cytotoxicity or body weight loss were observed. Histopathology of the BxPC-3 s.c. tumor in the Trojan p16 treatment group revealed marked vacuole formation and apoptotic death of cancer cells. In the AsPC-1 peritoneal dissemination model, the survival curve of mice treated with Trojan p16 was significantly longer than that of control. CONCLUSIONS These results provide evidence that the Trojan p16 peptide system, a gene-oriented peptide coupled with a peptide vector, functions for experimental pancreatic cancer therapy.
A Comparison of Efficient Decimation Algorithms for Polygonal Models

In this paper, we describe two different forms of the error metric proposed in [Hussain, M. , Okada, Y. ; 2005] for computing local geometric deviation introduced in a triangle mesh by a half-edge collapse transformation and further investigate them. Besides, we propose a modification of multiple choice technique (MC) [Wu, J., Kobbelt, L. ; 2002] that is used as a decimation framework instead of greedy design technique (GD) for iterative simplification of triangle meshes. We compare various triangle mesh decimation algorithms, that use the stated error metrics to compute the geometric fidelity every time a half-edge collapse transformation is applied and employ GD approach, MC technique and its modification as decimation frameworks, with the state-of-the-art decimation algorithms. Comparison shows that the modified MC algorithm based on the stated error measure results in better quality LODs.
An Active Immune Defense with a Minimal CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) RNA and without the Cas6 Protein*

Background: CRISPR RNAs (crRNAs) are generated by Cas6b in type I-B systems. They are essential for the interference reaction. Results: An icrRNA is generated independently from Cas6b and functions like a crRNA. Conclusion: In the presence of an icrRNA, Cas6b is not required for the interference reaction. Significance: This setup allows the Cas6b-independent generation of icrRNAs and thereby interference without Cas6b. The prokaryotic immune system CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated) is a defense system that protects prokaryotes against foreign DNA. The short CRISPR RNAs (crRNAs) are central components of this immune system. In CRISPR-Cas systems type I and III, crRNAs are generated by the endonuclease Cas6. We developed a Cas6b-independent crRNA maturation pathway for the Haloferax type I-B system in vivo that expresses a functional crRNA, which we termed independently generated crRNA (icrRNA). The icrRNA is effective in triggering degradation of an invader plasmid carrying the matching protospacer sequence. The Cas6b-independent maturation of the icrRNA allowed mutation of the repeat sequence without interfering with signals important for Cas6b processing. We generated 23 variants of the icrRNA and analyzed them for activity in the interference reaction. icrRNAs with deletions or mutations of the 3′ handle are still active in triggering an interference reaction. The complete 3′ handle could be removed without loss of activity. However, manipulations of the 5′ handle mostly led to loss of interference activity. Furthermore, we could show that in the presence of an icrRNA a strain without Cas6b (Δcas6b) is still active in interference.
Personalized Microblogs Corpus Recommendation Based on Dynamic Users Interests

Microblogs are specialized virtual social network web-based applications. Nowadays, following the microblogs is becoming more challenging as users can receive thousands of corpus updates every day. Going through all the corpuses updates is a time consuming process and affects the user's productivity in real life, especially for the users who have a lot of followees and thousands of tweets arriving at their timelines everyday. In this paper, we propose a personalized recommendation system that aims at giving the user a summary of all received corpuses. Considering the fact that the user interests changes over time, this summary should be based on the user's level of interest in the topic of the corpus at the time of reception. Our method considers three major elements: users's dynamic level of interest in a topic, user's social relationship such as the number of followers, their real geographical neighborhood, and other explicit features related to the publishers authority and the tweet's content.
The Novel Angiotensin I Converting Enzyme Inhibitory Peptide from Rainbow Trout Muscle Hydrolysate

Abstract The purpose of this study was the purification and characterization of an angiotensin I converting enzyme (ACE) inhibitory pep-tide purified from enzymatic hydrolysates of rainbow trout Oncorhynchus mykiss muscle. After removal of lipid, the approximate composition analysis of the rainbow trout revealed 24.4%, 1.7%, and 68.3% for protein, lipid, and moisture, respectively. Among six hydrolysates, the peptic hydrolysate exhibited the highest ACE inhibitory activity. We attempted to purify ACE inhibitory pep-tides from peptic hydrolysate using high performance liquid chromatography on an ODS column. The IC 50 value of purified ACE inhibitory peptide was 63.9 μM. The amino acid sequence of the peptide was identified as Lys-Val-Asn-Gly-Pro-Ala-Met-Ser-Pro-Asn-Ala-Asn, with a molecular weight of 1,220 Da, and the Lineweaver-Burk plots suggested that they act as a competitive inhibitor against ACE. Our study suggested that novel ACE inhibitory peptides purified from rainbow trout muscle protein may be beneficial as anti-hypertension compounds in functional foods.
Area Scoped LSP Restoration for MPLS with Differentiated Resilience QoS

The quality of service (QoS) on tunnel resilience of the label switch path (LSP) for the multiple protocol label switching (MPLS) technology has drawn much research attention recently. To address the relevant issue, we propose an architecture/mechanism of the area scoped LSP restoration for MPLS incorporating different classes of resilience QoS in this paper. We first define four QoS classes by a proper modification based on the draft of RSVP-TE fast reroute extension. Then, according to these QoS classes, two different scopes of area for the LSP recovery are designed to achieve each QoS requirement. We show that the proposed MPLS recovery mechanism is more scalable and can reduce latency of the LSP restoration.
Reasoning about a Rule

Two experiments were carried out to investigate the difficulty of making the contra-positive inference from conditional sentences of the form, “if P then Q. ” This inference, that not-P follows from not-Q, requires the transformation of the information presented in the conditional sentence. It is suggested that the difficulty is due to a mental set for expecting a relation of truth, correspondence, or match to hold between sentences and states of affairs. The elicitation of the inference was not facilitated by attempting to induce two kinds of therapy designed to break this set. It is argued that the subjects did not give evidence of having acquired the characteristics of Piaget's “formal operational thought. ”
Current Advances in Computational Strategies for Drug Discovery in Leishmaniasis

Andres F. Florez1,2, Stanley Watowich3 and Carlos Muskus2 1German Cancer Research Center (DKFZ)/ Division Theoretical Systems Biology, Heidelberg 2Universidad de Antioquia/Programa de Estudio y Control de Enfermedades Tropicales – PECET, Medellin 3University of Texas Medical Branch/Department of Biochemistry and Molecular Biology and the Sealy Center for Structural Biology and Molecular Biophysics, Galveston 1Germany 2Colombia 3USA
The Role of Visualization in Computer Science Education

Computer science core instruction attempts to provide a detailed understanding of dynamic processes such as the working of an algorithm or the flow of information between computing entities. Such dynamic processes are not well explained by static media such as text and images, and are difficult to convey in lecture. The authors survey the history of visualization in computer science education, focusing on artifacts that have a documented positive educational assessment. Changes in how computing technology has affected the development and uptake of such visualization artifacts in computer science education, and how recent technology changes are leading to progress in developing online hypertextbooks are then discussed.
The Helicobacter pylori CagA protein induces cortactin dephosphorylation and actin rearrangement by c‐Src inactivation

The gastric pathogen Helicobacter pylori translocates the CagA protein into epithelial cells by a type IV secretion process. Translocated CagA is tyrosine phosphorylated (CagAP‐Tyr) on specific EPIYA sequence repeats by Src family tyrosine kinases. Phos phorylation of CagA induces the dephosphorylation of as yet unidentified cellular proteins, rearrangements of the host cell actin cytoskeleton and cell scattering. We show here that CagAP‐Tyr inhibits the catalytic activity of c‐Src in vivo and in vitro. c‐Src inactivation leads to tyrosine dephosphorylation of the actin binding protein cortactin. Concomitantly, cortactin is specifically redistributed to actin‐rich cellular protrusions. c‐Src inactivation and cortactin dephosphorylation are required for rearrangements of the actin cytoskeleton. Moreover, CagAP‐Tyr‐mediated c‐Src inhibition downregulates further CagA phosphorylation through a negative feedback loop. This is the first report of a bacterial virulence factor that inhibits signalling of a eukaryotic tyrosine kinase and on a role of c‐Src inactivation in host cell cytoskeletal rearrangements.
DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets

In this paper, we describe the DeepNNNER entry to The 2nd Workshop on Noisy User-generated Text (WNUT) Shared Task #2: Named Entity Recognition in Twitter. Our shared task submission adopts the bidirectional LSTM-CNN model of Chiu and Nichols (2016), as it has been shown to perform well on both newswire and Web texts. It uses word embeddings trained on large-scale Web text collections together with text normalization to cope with the diversity in Web texts, and lexicons for target named entity classes constructed from publicly-available sources. Extended evaluation comparing the effectiveness of various word embeddings, text normalization, and lexicon settings shows that our system achieves a maximum F1-score of 47.24, performance surpassing that of the shared task’s second-ranked system.
A Cross-Cultural Comparison of Perceived Strategic Importance of RFID for CIOs in Germany and Italy

Drawing from literature on innovation, strategy and culture the objective of this study is to explore the role of perceived potentials and perceived strategic importance on CIOs' perspective on RFID technology in two different cultural settings. Based on survey responses from 463 German and 157 Italian IT decision makers we analyzed the data with PLS structural equation modeling. We show that perceived potentials of RFID influence the perceived strategic importance which positively influences CIOs' intention to invest in RFID. The composition of perceived potentials affecting the strategic importance of RFID differs significantly in both cultures. In Germany, potentials attributed to RFID are improving quality, automating manpower, reducing counterfeits, and improving customer-service. Italian CIOs value reducing stock inconsistencies, optimizing stock keeping, and improving customer- service as RFID potentials. Regardless of culture, findings show that company size hardly has impact on perceived strategic importance. This research shows on a large empirical basis cultural differences in the perception of RFID in two countries using PLS.
A hierarchical approach for joint multi-view object pose estimation and categorization

We propose a joint object pose estimation and categorization approach which extracts information about object poses and categories from the object parts and compositions constructed at different layers of a hierarchical object representation algorithm, namely Learned Hierarchy of Parts (LHOP) [7]. In the proposed approach, we first employ the LHOP to learn hierarchical part libraries which represent entity parts and compositions across different object categories and views. Then, we extract statistical and geometric features from the part realizations of the objects in the images in order to represent the information about object pose and category at each different layer of the hierarchy. Unlike the traditional approaches which consider specific layers of the hierarchies in order to extract information to perform specific tasks, we combine the information extracted at different layers to solve a joint object pose estimation and categorization problem using distributed optimization algorithms. We examine the proposed generative-discriminative learning approach and the algorithms on two benchmark 2-D multi-view image datasets. The proposed approach and the algorithms outperform state-of-the-art classification, regression and feature extraction algorithms. In addition, the experimental results shed light on the relationship between object categorization, pose estimation and the part realizations observed at different layers of the hierarchy.
Using A-patches to Tessellate Algebraic Curves and Surfaces

An implicit function is defined to be the zero set of a scalar function F over space. Further, for points not on the implicit function, the sign of this scalar function tells us whether the point lies inside or outside the implicit function. The choice of whether positive values are inside or outside is arbitrary, since we may multiply an implicit function by −1 and change the notion of inside and outside. An algebraic function is an implicit function that is a polynomial. The following example illustrates these ideas. Consider F (P ) = x + y − 1.
RANSAC-LEL: An optimized version with least entropy like estimators

The paper proposes a robust estimation method which implements, in cascade, two algorithms: (i) a Random Sample and Consensus (RANSAC) algorithm and (ii) a novel nonlinear prediction error estimator minimizing a cost function inspired by the mathematical definition of Gibbs entropy. The minimization of the nonlinear cost function allows to refine the Consensus Set found with standard RANSAC in order to reach optimal estimates of geometric transformation parameters under image stitching context. The method has been experimentally tested and compared with a standard RANSAC-MSAC algorithm where noticeable improvements are recorded in terms of computational complexity and quality of the stitching process, namely of the mean squared symmetric re-projection error.