Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Graph Embedding by Dynamic Translation

Knowledge graph embedding aims at representing entities and relations in a knowledge graph as dense, low-dimensional and real-valued vectors. It can efficiently measure semantic correlations of entities and relations in knowledge graphs, and improve the performance of knowledge acquisition, fusion and inference. Among various embedding models appeared in recent years, the translation-based models such as TransE, TransH, TransR and TranSparse achieve state-of-the-art performance. However, the translation principle applied in these models is too strict and can not deal with complex entities and relations very well. In this paper, by introducing parameter vectors into the translation principle which treats each relation as a translation from the head entity to the tail entity, we propose a novel dynamic translation principle which supports flexible translation between the embeddings of entities and relations. We use this principle to improve the TransE, TransR and TranSparse models respectively and build new models named TransE-DT, TransR-DT and TranSparse-DT correspondingly. Experimental results show that our dynamic translation principle achieves great improvement in both the link prediction task and the triple classification task.
On Stress and Linguistic

In this essay a new theory of stress and linguistic rhythm will be elaborated, based on the proposals of Liberman (1975). ' It will be argued that certain features of prosodic systems like that of English, in particular the phenomenon of "stress subordination", are not to be referred primarily to the properties of individual segments (or syllables), but rather reflect a hierarchical rhythmic structuring that organizes the syllables, words, and syntactic phrases of a sentence. The character of this structuring, properly understood, will give fresh insight into phenomena that have been apprehended in terms of the phonological cycle, the stress-subordination convention, the theory of disjunctive ordering, and the use of crucial variables in phonological rules. Our theory will employ two basic ideas about the representation of traditional prosodic concepts: first, we represent the notion relative prominence in terms of a relation defined on constituent structure; and second, we represent certain aspects of the notion linguistic rhythm in terms of the alignment of linguistic material with a "metrical grid". The perceived "stressing" of an utterance, we think, reflects the combined influence of a constituent-structure pattern and its grid alignment. This pattern-grid combination is reminiscent of the traditional picture of verse scansion, so that the theory as a whole deserves the name "metrical". We will also use the expression "'metrical theory" as a convenient term for that portion of the theory which deals with the assignment of relative prominence in terms of a relation defined on constituent structure. Section 1 will apply the metrical theory of stress-pattern assignment to the system of English phrasal stress, arguing this theory's value in rationalizing otherwise arbitrary characteristics of stress features and stress rules. Section 2 will extend this treatment to the domain of English word stress, adopting a somewhat traditional view of the assignment of the feature [+stress], but explaining the generation of word-level * We would like to thank
Characterization of Infrared Catastrophe by The Carleman Operator and Its Singularity

This paper addresses some mathematical problems arising from the infrared (IR) catastrophe in quantum field theory. IR catastrophe is formulated and studied in operator theory, characterized by the Carleman operator. Non-existence of ground state under IR catastrophe is also investigated with the help of the characterization. The theory presented in this paper is applied to the Hamiltonian of the model describing a non-relativistic electron coupled with a quantum field of phonons or polaritons in the light of mathematics as well as solid state physics.
Tighter bounds lead to improved classifiers

The standard approach to supervised classification involves the minimization of a log-loss as an upper bound to the classification error. While this is a tight bound early on in the optimization, it overemphasizes the influence of incorrectly classified examples far from the decision boundary. Updating the upper bound during the optimization leads to improved classification rates while transforming the learning into a sequence of minimization problems. In addition, in the context where the classifier is part of a larger system, this modification makes it possible to link the performance of the classifier to that of the whole system, allowing the seamless introduction of external constraints.
A Stereo-Based System with Inertial Navigation for Outdoor 3D Scanning

In this paper, we introduce a 3D scanning system consisting of a stereo camera combined with an inertial navigation system. We employ this system to explore the suitability of the standard 3D scanning pipeline when working with stereo range data of objects and architecture in an outdoor setting. Our range scanning system is very mobile without any mechanical actuators. We rely solely on the inertial navigation system for coarse registration with out any cumbersome manual procedure or scene dependent visual feature tracking. Our detail registration is a variant of the Iterative Closest Point algorithm. We introduce a set of heuristics that aims to produce reliable and repeatable convergence despite the diversity of the objects, and types of motions that may be executed by the operator during the scanning process. We also show that in an outdoor setting, range data based on classical binocular stereo can be effective for 3D modeling. Our system produces results of only slightly lower quality than an indoor triangulation scanner at a much lower system cost.
A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications

Despite their increasing popularity, agent-based models are hard to test, and so far no established testing technique has been devised for this kind of software applications. Reverse engineering an agent-based model specification from model simulations can help establish a confidence level about the implemented model and in some cases reveal discrepancies between observed and normal or expected behaviour. In this study, a multiobjective optimisation technique based on a simple random search algorithm is deployed to dynamically infer and refine the specification of three agent-based models from their simulations. The multiobjective optimisation technique also incorporates a dynamic invariant detection technique which serves to guide the search towards uncovering new model behaviour that better captures the model specification. The Non-dominated Sorting Genetic Algorithm (NSGA-II) was also deployed to replace the random search algorithm, and the results from both approaches were compared. While both algorithms revealed good potential in capturing the model specifications, the pure exploratory nature of random search was found more suitable for the application at hand, compared to the balanced exploitation/exploration nature of genetic algorithms in general.
Face recognition using scattering wavelet under Illicit Drug Abuse variations

Prolonged usage of illicit drugs alter texture and geometric variations of a face and hence, affect the performance of face recognition algorithms. This research proposes a two fold contribution for advancing the state-of-art in recognizing face images with variations caused due to substance abuse: firstly, scattering transform (ScatNet) based face recognition algorithm is proposed. The algorithm yields good results however, it is very expensive in terms of the computational time and space. Therefore, as the next contribution, an autoencoder-style mapping function (AutoScat) is proposed that learns to encode the ScatNet representation of a face image to reduce the computation time. The results are evaluated on the publicly available Illicit Drug Abuse Face database. The results show that ScatNet based face recognition algorithm outperforms two commercial matchers. Further, compared with ScatNet, AutoScat is able to achieve lower rank-1 accuracy but requires 10-3 times lesser computational requirements and around 400 times smaller feature space.
Cancer Stem Cells and Its Role in Angiogenesis and Vasculogenic Mimicry in Gastrointestinal Cancers

Cancer stem cells (CSCs) are able to promote initiation, survival and maintenance of tumor growth and have been involved in gastrointestinal cancers (GICs) such as esophageal, gastric and colorectal. It is well known that blood supply facilitates cancer progression, recurrence, and metastasis. In this regard, tumor-induced angiogenesis begins with expression of pro-angiogenic molecules such as vascular endothelial growth factor (VEGF), which in turn lead to neovascularization and thus to tumor growth. Another pattern of blood supply is called vasculogenic mimicry (VM). It is a reminiscent of the embryonic vascular network and is carried out by CSCs that have the capability of transdifferentiate and form vascular-tube structures in absence of endothelial cells. In this review, we discuss the role of CSCs in angiogenesis and VM, since these mechanisms represent a source of tumor nutrition, oxygenation, metabolic interchange and facilitate metastasis. Identification of CSCs mechanisms involved in angiogenesis and VM could help to address therapeutics for GICs.
Immunodomination of Serotype-Specific CD4+ T-Cell Epitopes Contributed to the Biased Immune Responses Induced by a Tetravalent Measles-Vectored Dengue Vaccine

Dengue is an emerging mosquito-borne disease, and the use of prophylactic vaccines is still limited. We previously developed a tetravalent dengue vaccine (rMV-TDV) by a recombinant measles virus (MV) vector expressing envelope protein domain III (ED3). In this study, we used dengue-susceptible AG129 mice to evaluate the protective and/or pathogenic immune responses induced by rMV-TDV. Consistent with the previous study, rMV-TDV-immunized mice developed a significant neutralizing antibody response against all serotypes of DENV, as well as a significant IFN-γ response biased to DENV-3, compared to the vector controls. We further demonstrated that this DENV-3-specific IFN-γ response was dominated by one CD4+ T-cell epitope located in E349−363. After DENV-2 challenge, rMV-TDV-immunized mice showed a significantly lower viremia and no inflammatory cytokine increase compared to the vector controls, which had an ~100 times higher viremia and a significant increase in IFN-γ and TNF-α. As a correlate of protection, a robust memory IFN-γ response specific to DENV-2 was boosted in rMV-TDV-immunized mice after challenge. This result suggested that pre-existing DENV-3-dominated T-cell responses did not cross-react, but a DENV-2-specific IFN-γ response, which was undetectable during immunization, was recalled. Interestingly, this recalled T-cell response recognized the epitope in the same position as the E349−363 but in the DENV-2 serotype. This result suggested that immunodomination occurred in the CD4+ T-cell epitopes between dengue serotypes after rMV-TDV vaccination and resulted in a DENV-3-dominated CD4+ T-cell response. Although the significant increase in IgG against both DENV-2 and -3 suggested that cross-reactive antibody responses were boosted, the increased neutralizing antibodies and IgG avidity still remained DENV-2 specific, consistent with the serotype-specific T cell response post challenge. Our data reveal that immunodomination caused a biased T-cell response to one of the dengue serotypes after tetravalent dengue vaccination and highlight the roles of cross-reactive T cells in dengue protection.
Expression of rat thick limb Na/H exchangers in potassium depletion and chronic metabolic acidosis.

BACKGROUND Regulation of renal transporter expression has been shown to support adaptation of transporter activities in several chronic situations. Basolateral and apical Na/H exchangers (NHE) in medullary thick ascending limb (MTAL) are involved in NH4+ and HCO3+ absorption, respectively. The NH4+ absorption rate in Henle's loop is increased in chronic metabolic acidosis (CMA) and potassium depletion (KD), which may be secondary to the increased NH4+ concentration in luminal fluid and/or to an increased NH4+ absorptive capacity of MTAL. HCO3- absorptive capacity in Henle's loop is increased in CMA and decreased in metabolic alkalosis, but is unchanged in KD despite the presence of metabolic alkalosis. The present study compared the effects of NH4Cl-induced CMA and KD on the expression of basolateral NHE-1 and the effect of KD on the expression of apical NHE-3 in MTAL. METHODS NHE-1 and NHE-3 mRNAs and proteins were assessed by a competitive reverse transcription-polymerase chain reaction (RT-PCR) method and semiquantitative immunoblots, respectively, in MTAL-purified suspensions from rats with CMA and KD. RESULTS NHE-1 protein abundance was similarly increased (approximately 90%) at two and five weeks of KD, while NHE-1 mRNA amount in MTAL cells was increased at two weeks of KD and returned to normal values by five weeks of KD. In contrast, NHE-1 mRNA and protein abundance did not change in CMA. NHE-3 protein abundance remained unchanged in both two and five weeks of KD, while NHE-3 mRNA was unchanged by two weeks of KD and reduced by approximately 50% at five weeks of KD. CONCLUSIONS The results suggest the following: (1) in KD, where the increased NH4+ concentration of luminal fluid that favors NH4+ absorption is counterbalanced by a decrease in BSC1 expression and activity, the increased NHE-1 expression may support an increased MTAL NH4+ absorptive capacity in CMA, NHE-1 expression is not specifically regulated and remains unchanged, suggesting that the increase in NH4+ concentration in luminal fluid is the main determinant of increased NH4+ absorption in MTAL. (2) In KD, NHE-3 expression did not decrease despite the presence of metabolic alkalosis, in agreement with the unchanged HCO3- absorptive capacity of Henle's loop.
PRICING AND HEDGING DOUBLE-BARRIER OPTIONS: A PROBABILISTIC APPROACH

Barrier options have become increasingly popular over the last few years. Less expensive than standard options, they may provide the appropriate hedge in a number of risk management strategies. In the case of a single-barrier option, the valuation problem is not very difficult (see Merton 1973 and Goldman, Sosin, and Gatto 1979). the situation where the option gets knocked out when the underlying instrument hits either of two well-defined boundaries is less straightforward. Kunitomo and Ikeda (1992) provide a pricing formula expressed as the sum of an infinite series whose convergence is studied through numerical procedures and suggested to be rapid. We follow a methodology which proved quite successful in the case of Asian options (see Geman and Yor 1992,1993) and which has its roots in some fundamental properties of Brownian motion. This methodology permits the derivation of a simple expression of the Laplace transform of the double-barrir price with respect to its maturity date. the inversion of the Laplace transform using techniques developed by Geman and Eydeland (1995), is then fairly easy to perform. Copyright 1996 Blackwell Publishers.
Development of a Brief Measure of Career Development Influences Based on the Systems Theory Framework

This paper documents the initial development and validation of a brief quantitative measure of career development influences based on the Systems Theory Framework (STF) of career development (McMahon & Patton, 1995; Patton & McMahon, 1997, 1999, 2006). Initial exploratory factor analyses of pilot study data revealed a six-factor structure based on 20 of the 28 influences. A subsequent confirmatory factor analysis procedure using structural equation model (SEM) revealed a fundamentally stable factor structure across the two different populations tested, although some further modifications were made to the scale. The final 19-item scale identified five correlated factors, of which three were within the framework's individual system, one was within the social system, and one was within the environmental-societal system. In the final section of the paper, the theoretical implications of this factorial structure and the importance of the influence of world of work knowledge factor are addressed. The utility of the career development influences scale as a brief measure to contextualise more targeted measures in large-scale quantitative career development studies is discussed.
Changes in Tumor Density in Patients with Advanced Hepatocellular Carcinoma Treated with Sunitinib

Purpose: Response Evaluation Criteria in Solid Tumors (RECIST) may underestimate the efficacy of targeted therapies. In hepatocellular carcinoma (HCC) studies with sunitinib, RECIST-defined response rates are low, although hypodensity on computed tomography (CT) scans occurs more frequently. This exploratory analysis investigated tumor density as a surrogate endpoint of sunitinib activity in a phase II HCC study. Experimental Design: Patients received sunitinib 50 mg/d (4 weeks on/2 weeks off). Tumor size and density were assessed on CT scans by using RECIST and Choi criteria, the latter of which classify a partial response as a 15% or more reduction in tumor density or a 10% or more reduction in tumor size. The overall percentage volume of tumor necrosis was calculated with volumetric reconstruction. Tumor perfusion parameters were assessed by using perfusion CT scans with specific acquisition. Results: Among the 26 evaluable patients, 1 achieved a partial response and 22 had tumor stabilization by RECIST. In analysis of tumor density, 17 of 26 patients (65.4%) were responders by Choi criteria. Volumetric assessment showed major tumor necrosis (≥30% of tumor volume) in 10 of 21 patients (47.6%). Among four patients evaluated, tumor blood flow was reduced by 58.8% and blood volume by 68.4% after 4 weeks of treatment. The median time to progression (TTP) was 6.4 months. Patients with responses by Choi criteria had a significantly longer TTP (7.5 months) compared with nonresponders (4.8 months; HR = 0.33, two-sided P = 0.0182). Conclusions: Tumor density assessment suggested that radiologic endpoints in addition to RECIST may be considered to capture sunitinib activity in HCC. Clin Cancer Res; 17(13); 4504–12. ©2011 AACR.
Gene structure-based splice variant deconvolution using a microarry platform

MOTIVATION Alternative splicing allows a single gene to generate multiple mRNAs, which can be translated into functionally and structurally diverse proteins. One gene can have multiple variants coexisting at different concentrations. Estimating the relative abundance of each variant is important for the study of underlying biological function. Microarrays are standard tools that measure gene expression. But most design and analysis has not accounted for splice variants. Thus splice variant-specific chip designs and analysis algorithms are needed for accurate gene expression profiling. RESULTS Inspired by Li and Wong (2001), we developed a gene structure-based algorithm to determine the relative abundance of known splice variants. Probe intensities are modeled across multiple experiments using gene structures as constraints. Model parameters are obtained through a maximum likelihood estimation (MLE) process/framework. The algorithm produces the relative concentration of each variant, as well as an affinity term associated with each probe. Validation of the algorithm is performed by a set of controlled spike experiments as well as endogenous tissue samples using a human splice variant array.
Intensity quantile estimation and mapping - a novel algorithm for the correction of image non-uniformity bias in HCS data

MOTIVATION Image non-uniformity (NU) refers to systematic, slowly varying spatial gradients in images that result in a bias that can affect all downstream image processing, quantification and statistical analysis steps. Image NU is poorly modeled in the field of high-content screening (HCS), however, such that current conventional correction algorithms may be either inappropriate for HCS or fail to take advantage of the information available in HCS image data. RESULTS A novel image NU bias correction algorithm, termed intensity quantile estimation and mapping (IQEM), is described. The algorithm estimates the full non-linear form of the image NU bias by mapping pixel intensities to a reference intensity quantile function. IQEM accounts for the variation in NU bias over broad cell intensity ranges and data acquisition times, both of which are characteristic of HCS image datasets. Validation of the method, using simulated and HCS microtubule polymerization screen images, is presented. Two requirements of IQEM are that the dataset consists of large numbers of images acquired under identical conditions and that cells are distributed with no within-image spatial preference. AVAILABILITY AND IMPLEMENTATION MATLAB function files are available at http://nadon-mugqic.mcgill. ca/.
109-Tb/s (7×97×172-Gb/s SDM/WDM/PDM) QPSK transmission through 16.8-km homogeneous multi-core fiber

We demonstrate record 109-Tb/s transmission of spatial division multiplexed (SDM) signals over 16.8 km using a seven-core fiber. Each SDM channel contains 97 WDM channels on a 100-GHz grid and 2×86-Gb/s polarization-multiplexed QPSK signals.
Deep Learning Groups: Combining Emotional and Intellectual Learning

This article discusses deep learning groups (DLGs) which seek consensually validated truths (intellectual learning) and the experiential understanding of feelings (emotional learning). Deep learning enhances the maturation of DLG members. The theories of Jurgen Habermas, Robert Langs, and Virginia Satir provide the bases for deep learning groups. Using transcripts from two seminars, examples of deep learning are presented. Deep learning is marked by catharses of recognition and release, and results in insights and questions. Definition: a metalogue is a conversation about some problematic subject. This conversation should be such that not only do the participants discuss the problem but the structure of the conversation as a whole is also relevant to the same subject. notably, the history of evolutionary theory is inevitably a metalogue between human beings and nature, in which the creation and interaction of ideas must necessarily exemplify evolutionary process. —Gregory Bateson