Miracle-dz/UniFAR-FTUs huggingface dataset:
Symposium-Raphtory : Decentralised Streaming for Temporal Graphs

Temporal graphs capture the relationships within data as they develop throughout time. Intuition, therefore, suggests that this model would t naturally within a streaming architecture, where new points of comparison can be inserted directly into the graph as they arrive from the data source. However, the current state of the art has yet to join these two concepts, supporting either temporal analysis on static data or streaming into one-dimensional dynamic graphs. To solve this problem we introduce Raphtory, a temporal graph streaming platform, which maintains a full graph history whilst eciently inserting new alterations. ACM Reference format: Benjamin A. Steer, Felix Cuadrado, and Richard G. Clegg. 2017. Doctoral Symposium Raphtory: Decentralised Streaming for Temporal Graphs. In Proceedings of DEBS ’17, Barcelona, Spain, June 19-23, 2017, 3 pages. DOI: 10.1145/3093742.3096341
The impact of corporate governance on earnings management in emerging economies : the Greek evidence

This study tries to investigate the impact of corporate governance mechanism effects on decisions that may manipulate earnings in Greek listed firms. To do so, the board of directors and the audit committee were taken into account, together with the total accruals of 46 Greek listed firms for the years 2011–2015. For the analysis, three research hypotheses have been made to investigate where the independent members do not use earnings management tactics and if financially healthy firms try these tactics. The main finding of the study is that firms with a strong and independent board of directors combined with an active audit committee, together with financial soundness and the presence of a large audit firm, are deterred from practices related earnings management.
Association between IL-1 β + 3954 C / T polymorphism and acute coronary syndrome risk : a meta-analysis

Objectives: Numerous studies have shown that the IL-1β +3954C/T polymorphism (rs1143634) is associated with acute coronary syndrome (ACS). However, the results are controversial. Here, meta-analysis was designed to further precisely evaluate the association between IL-1β +3954C/T and ACS. Methods: Relevant studies were searched from electronic databases (Embase, PubMed, Cochrane and Web of Science). Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were utilized with fixed effect model or random effect model. Sensitivity analysis and publication bias are also been presented. Results: Ten eligible studies with 2467 cases and 2416 controls are included. The pooled results showed that the IL-1β +3954C/T was associated with risk of ACS in the allelic comparison (T versus C: OR=1.12, 95% CI 1.01-1.23, I2=0%, PH=0.485) and dominant model (TC+TT versus CC: OR=1.14, 95% CI 1.01-1.28, I2=0%, PH=0.898). Ethnic subgroup analysis showed similar results in Caucasian populations: an allelic comparison (T versus C: OR=1.14, 95% CI 1.03-1.27, I2=0%, PH=0.698), homozygote model (TT versus CC: OR=1.32, 95% CI 1.02-1.72, I2=0%, PH=0.689) and dominant model (TC+TT versus CC: OR=1.15, 95% CI 1.01-1.31, I2=0%, PH=0.865). Similar results were also observed in subgroup analyses of high-quality studies and PCR-RFLP (restriction fragment length polymorphism) data. Conclusions: The meta-analysis suggests that IL-1β +3954C/T is associated with ACS susceptibility, especially among Caucasian populations.
2 Informed Trading and the Bid-Ask Spread : Evidence from an Emerging Market

Bid-ask spread is a major determinant of trading costs and therefore significantly affects the performance of financial markets. We explore the impact of informed trading on the composition of the bid-ask spread in high frequency data from the Czech equity market. This market has been plagued by informed trading due to insufficient regulation and missing institutions. We modify an earlier approach to estimating the components of the bid-ask spread to suit the setup of this market. Our estimates suggest that the Czech market-maker based trading system is efficient in dealing with informed trading. Only 17 percent of the bid-ask spread is explained by informed trading, which roughly corresponds to the share of the adverse-selection component in developed markets. An explanation based on the difference between posted and traded spread is offered.
Epigenetic alterations in CHFR promoter hypermethylation as a cancer biomarker of digestive system carcinomas : a meta-analysis

Recently, it was reported that methylation of the checkpoint protein with forkhead-associated and ring finger domains (CHFR) gene could be related with some gastrointestinal cancers including gastric cancer and esophageal cancer. However, a couple of other studies had different results. The aim of this article was to perform a meta-analysis to have a better understanding of the possible association between the CHFR methylation and gastrointestinal cancers. Three frequently used databases, Pubmed, Medline and Web of Science, were searched and the 54 relevant articles were studied. Based on the specific criteria, 10 qualified articles were finally enrolled into this meta-analysis. The results revealed that the methylation of CHFR was significantly related with the risk of digestive system cancer (OR=4.21, 95% CI: 3.20-5.53). The results of subgroup analysis on disease type showed the methylation of CHFR was significantly associated with the risk of gastric cancer (OR=4.95, 95% CI: 3.66-6.71). Subgroup analysis on detection methods showed that the methylation of CHFR greatly increased the risks of gastrointestinal cancers detected by MSP (OR=8.02, 95% CI: 5.29-12.16). The results of Egger’s test suggested that there was no evidence of publication bias (P=0.522). Therefore, this meta-analysis showed a significant association between the CHFR methylation and digestive system cancers, indicating that CHFR may be regarded as a diagnostic and therapeutic indicator.
D C ] 2 9 Ju l 2 01 9 Dissecting Tendermint

In this paper we analyze Tendermint proposed in [10], one of the most popular blockchains based on PBFT Consensus. Our methodology consists in identifying the algorithmic principles of Tendermint necessary for a specific communication model. The current paper dissects Tendermint under two system communication models: synchronous and eventually synchronous communication models. This methodology allowed to identify bugs [6] in preliminary versions of the protocol ([21], [10]) and to prove its correctness under the most adversarial conditions: an eventually synchronous communication model and Byzantine faults.
A Survey Paper on Early Diagnosis Ofcardio-Vascular Disease Using Data Mining And Neural Network

Cardiovascular diseases are major cause of humanity and death-rate in modern civilization. Medical assessment of these diseases is very important but the tortuous task should be performed efficiently and accurately. In this era of computing and intelligence it is an easy but complicated task to estimate the probability of disease on the basis of data and fact provided to the system. With the growing research it has become important to categories the research outcomes and provides readers with an overview of the existing heart disease prediction techniques in each category. The data mining algorithms are typically used to recognize the disease that occurs in original form the database. Neural Networks is a data mining analytical tools that is used to make prediction for medical data. In this paper, we present a survey report on the use of data mining algorithms & techniques and Neural Network Learning for the detection of Cardiovascular Disease.
The analysis of student paths at the University using the multivariate joint models

ABSTRACT The joint models analyse jointly survival and longitudinal data and they are composed of two sub-models, the longitudinal and the survival sub-model. It is interesting to analyse the situation in which one or both the sub-models are multivariate. First, it is possible to extend the longitudinal sub-model considering more than one longitudinal covariate. Second, the survival sub-model can be extended considering different competing events. The application proposed analyses the undergraduates’ paths in an Italian University, analysing the influence of one or more longitudinal covariates on the events graduation and dropout (a withdrawal from the University system before the graduation).
THE ECONOMIC IMPACT OF TARIFFS OF THE 1930 S AUSTRALIA : THE BRIGDEN

In 1927, the Prime Minister of Australia Mr S.M. Bruce appointed a committee of economists to carry out an inquiry into the economic impact of the Australian tariffs. The report of this committee, also known as the Brigden Report, was published in July, 1929. In assessing the impact of tariffs on national income, the committee attempted to answer the following counterfactual question: In the absence of tariff protection would export and other industries have grown sufficiently enough to contribute to the national income the same amount as the protected sector would have produced with the assistance of tariffs? The purpose of this paper is to examine this counterfactual quantitatively by simulating a computable general equilibrium ( CGE) model of the 1930s in Australia. The results provide a more formal assessment of the impact of tariffs during the period and throw some light on the debate of the efficacy of protection during the 1930s.
Estimation of covariance and precision matrix, network structure, and a view toward systems biology

Covariance matrix and its inverse, known as the precision matrix, have many applications in multivariate analysis because their elements can exhibit the variance, correlation, covariance, and conditional independence between variables. The practice of estimating the precision matrix directly without involving any matrix inversion has obtained significant attention in the literature. We review the methods that have been implemented in R and their R packages, particularly when there are more variables than data samples and discuss ideas behind them. We describe how sparse precision matrix estimation methods can be used to infer network structure. Finally, we discuss methods that are suitable for gene coexpression network construction. WIREs Comput Stat 2017, 9:e1415. doi: 10.1002/wics.1415
DEVELOPMENT AND APPLICATION OF THE DES k-ε TURBULENCE MODEL FOR FIRE SIMULATION

In this paper, a Detached-Eddy Simulation (DES) method for turbulent flow prediction based on the k-ε model is developed and analyzed. The new method is then used to numerically simulate a typical forced convective problem. The results show that the new model, when compared with Large Eddy Simulation, gives solutions better agreed with the experimental data, while uses less grids. The model is also applied to a room fire case and the numerical results are compared with both LES results and experimental data.
Intertribal crosses between Brassica species and Capsella bursa-pastoris for the improvement of oil quality and resistance to Sclerotinia sclerotiorum of Brassica crops

Capsella bursa-pastoris is natural double-low germplasm and is highly resistant to Sclerotinia sclerotiorum. Intertribal crosses were made between two Brassica species (B. napus, 2n=38; B. rapa, 2n=20) and C. bursa-pastoris (2n=32) by a normal crossing procedure and embryo rescue, in order to improve the oil quality and resistance to S. sclerotiorum of Brassica crops. All F1 plants except two B. napus haploids and three plants with 2n=29 were euploids with the same chromosome numbers as their female parents. Only when F1 plants were intermediate between the parents, the others were resembled the female parent-type predominantly. Among three F1 plants showing white petals of C. bursa-pastoris, one (2n=27-29) was from cross with B. rapa, two (2n=38) from crosses with B. napus. One to two chromosomes of C. bursa-pastoris were detected in PMCs of a few F1 plants by genomic in situ hybridization (GISH), together with chromosome segments in ovary cells and PMCs of many F1 plants. Amplifed fragment length polymorphisms (AFLP) bands of the male parent were found in F1 plants, even in haploids. In some progenies, the oil quality and resistance to S. sclerotiorum was improved remarkablely. The mechanisms behind these results were discussed.
Human Activity Recognition using Robot-Mounted RGB ( D ) Cameras

Recognizing human activities has been an important research topic which has generated significant interest throughout the years. Understanding what the user is doing is the first prerequisite when building a system intended to assist him. It allows building knowledge about when to activate certain actuators in the environment, when to interact with the user, what are the most probable next inputs of the user or even for detecting dangerous situation (e.g. the user tripped and fell).
Adaptive Optimisation For Continuous Multi-Way Joins Over RDF Streams

The join operator is a core component of an RDF Stream Processing engine. The join operations usually dominate the processing load of a query execution plan. Due to the constantly updating nature of continuous queries, the query optimiser has to frequently change the optimal execution plan for a query. However, optimising the join executing plan for every execution step might be prohibitively expensive, hence, dynamic optimisation of continuous join operations is still a challenging problem so far. Therefore, this paper proposes the first adaptive optimisation approach towards this problem in the context of RDF Stream Processing. The approach comes with two dynamic cost-based optimisation algorithms which use a light-weight process to search for the best execution plan for every execution step. The experiments show the encouraging results towards this direction.
LBM-BASED LARGE-EDDY SIMULATION OF WIND TURBINE ROTOR WAKE AERODYNAMICS

Lattice Boltzmann methods are a particularly suitable approach for simulating unsteady wake aerodynamics with high resolution. In this work, we focus on parallel largeeddy simulations of wind turbine wakes imposed by actuator disk and actuator line models. The verification of the turbulence model by a forced isotropic turbulence test case is also discussed. High fidelity is achieved by patch-based structured mesh adaptation provided by our AMROC framework.
MIMO-OFDMA Subcarrier Mapping Improvement by using Quarter ICI-SC with STFBC Technique

Many wireless communication systems rely on Orthogonal Frequency Division Multiple Access (OFDMA) to guarantee reliable transmission and better performance. However, the orthogonality of the subcarriers has been destroyed by frequency offset (FO) and thus leads to intercarrier interference (ICI) which reduces the system performance. In order to overcome this problem, quarter ICI self-cancellation (ICI-SC) subcarrier mapping scheme using data allocation in space-time-frequency block codes (STFBC) for MIMO-OFDMA system is proposed. The technique is then evaluated through Pairwise Error Probability (PEP) and Bit Error Rate (BER) performance. From the results, proposed quarter ICI-SC subcarrier mapping scheme technique with STFBC shows the best result for MIMO-OFDMA system.
RECONFIGURATION APPROACH OF VECTOR CONTROL SYSTEM FOR TANDEM CONVERTER FED INDUCTION MOTOR DRIVE

This paper presents the research results regarding to the reconfiguration aspects of AC drive control system realised with induction motor supplied from the so-called “tandem” converter in order to use CSoC and FPGA reconfigurable hardware for its implementation. Reconfiguration hardware support is critical and for this reason some implementation and simulation results are presented.
NUCLEAR REACTOR CONTAINMENT FLOWS – MODELLING OF STABLY STRATIFIED LAYER EROSION BY A TURBULENT JET

A number of international benchmarks were devoted to revealing the capability of CFD codes to predict the temporal evolution of the concentration and velocity fields of the nuclear reactor containment atmosphere in the course of severe accidents. In the most recent OECD/NEA international benchmark exercise on containment flows, a stably-stratified helium-air layer was eroded by a free turbulent jet coming from below. Velocity and helium concentration fields were measured in the course of the experiment. The results of the benchmark have shown that a correct prediction of the temporal development of the concentration field does not necessarily mean that the velocity field was resolved accurately as well. This can suggest that a wrongly predicted velocity field can compensate an erroneously modeled mass transport, still leading to a relatively correct concentration field. This work examines numerically the temporal evolution of the velocity and concentration fields for the conditions of an international benchmark exercise on containment flows performed in PANDA facility at PSI, Switzerland. A number of preliminary separate effect studies are performed on the way to choosing the final modeling scheme. It is shown that kSST model significantly overestimates the mixing rates, whereas the standard kmodel overestimates the spreading of the jet and its center-line velocity decay rate. A good compromise seems to be found in modification of the C1 constant of the kmodel allowing to simulate erosion of the stratified layer by round jets more reliably.
Meta-Learning Improves Lifelong Relation Extraction

Most existing relation extraction models assume a fixed set of relations and are unable to adapt to exploit newly available supervision data to extract new relations. In order to alleviate such problems, there is the need to develop approaches that make relation extraction models capable of continuous adaptation and learning. We investigate and present results for such an approach, based on a combination of ideas from lifelong learning and optimization-based meta-learning. We evaluate the proposed approach on two recent lifelong relation extraction benchmarks, and demonstrate that it markedly outperforms current state-of-the-art approaches.
Literacy Practices of Vocational Engineering Pre-Teachers in Surveying and Mapping

Surveys carried out in some countries show that more than half of labours have inadequate literacy skills to work in environments with knowledgeable society. Hence, as an institution orientating to workforce supply, vocational education is expected to instil a habit of literacy practice, which will encourage the improvement of graduates’ literacy competence. This study aims to discuss literacy practice in vocational engineering education, which supports the mastery of engineering literacy. In this research, literacy practices focus in the surveying and mapping fields. This study was carried out using semi-structured interview. Participants in this study were three tutors were from the Vocational Engineering Education Department. Data collected were results of the interviews, students’ fieldwork reports, and field observation. Findings from this study indicated that a habit of reading manuals or standards in engineering was considered low. Meanwhile, handwriting literacy habit was rare. Moreover, practical students tended to make detailed engineering design using computer applications. Communication ability to transfer information and ideas related to the results of vocational works was good, supported with technology-based presentation media.
High resolution in situ study of multimodal sediment transport processes using Dynamic Sediment Profile Imagery ( DySPI )

Olivier BLANPAIN, deuxième année de thèse cofinancée IRSN/IFREMER (depuis le 2 novembre 2005) Ecole Doctorale Normande Chimie Biologie – Université de Rouen Robert Lafite (UMR 6143 M2C Rouen) : Directeur de thèse Philippe Cugier (IFREMER/DYNECO/EB) : Encadrant IFREMER. Pascal Bailly du Bois (IRSN/DEI/SECRE/LRC) : Encadrant IRSN. Localisation : première année IFREMER Brest, deuxième année IRSN Cherbourg – Octeville. ___________________________________________________________________________________________
DRC-004 Model Reference Input Shaping Using Quantitative Feedback Control

Input shaping technique convolutes reference signal with a sequence of impulses. The amplitudes and time locations of impulses are designed such that the resulting shaped reference signal avoids exciting lightly-damped modes of the system. This results in zero residual vibration for quick point-to-point movement. However, the input shaping technique is sensitive to accuracy of the mode parameters (natural frequency and damping ratio) of the system. Adding more impulses to the sequence makes it more robust against parameter uncertainty at the expense of slower shaped reference signal. In this paper, for the first time, a quantitative feedback control is used in the loop to make the closed-loop system match a known reference model, a so-called model matching. There are two benefits in doing this. First, the input shaper sees the closed-loop system as the reference model whose mode parameters are known perfectly. Therefore, the input shaper need not be robust, resulting in fewer impulses usage and faster shaped reference signal. Second, the quantitative feedback control can reduce vibration from other sources such as plant-input, plant-output disturbances, and noise. Simulation shows that the proposed technique can withstand large plant uncertainty with fast move time when compared to traditional robust input shaper.
Detecting Free Translation in Parallel Corpora from Attention Scores

In this study, we propose a method for extracting free translation examples from bilingual parallel corpora based on an innovative use of attention scores. Preliminary results show that the approach is promising and paraphrases at both sentential and sub-sentential levels covering diverse surface forms could be identiﬁed. The extracted data, upon further ﬁltering, have great potential to supplement the example sentences available in existing bilingual dictionaries in an effective and systematic way.
Differential expression of long non-coding RNAs in prostatic carcinoma cell line LNCaP after occurrence of androgen independent transformation

Prostate cancer (PCa) is a common malignant tumor of the urinary system in men. It has long aroused special attention because of its likelihood to undergo androgen independent transformation during the course of androgen-deprivation therapy. Recent studies suggested that long non-coding RNAs (lncRNAs) played crucial roles in human diseases including cancer. The aim of the study was to investigate the role of lncRNAs in the process of androgen independent transformation of PCa cells. We compared lncRNA expression profiles of PCa cell lines LNCaP cells and LNCaP androgen-independent cells (LNCaP-AI cells) after the occurrence of androgen independent transformation using Human LncRNA Array containing 30,586 lncRNAs and 26,109 mRNAs (Human LncRNA Array v3.0, Arraystar, Inc.). Using microarray data, we identified 2,766 differentially expressed lncRNAs and 1,895 differentially expressed mRNAs (≥3.0 fold-change, P≤0.001) between LNCaP and LNCaP-AI cells. Among them, 899 lncRNAs and 1151 mRNAs were up-regulated, while 1,867 lncRNAs and 744 mRNAs were down-regulated. Using qRT-PCR, a selection of differentially expressed lncRNA and coding mRNA transcripts including AR, PSA, LncRNA NR_027708 and ENST00000479270 was confirmed. Gene ontology (GO) bioinformatics analysis highlighted that many processes were highly expressed in the LNCaP-AI cells during the course of growth. Dysregulation of some of these lncRNAs may play important roles in cholesterol metabolism and nutrient uptake. In this study, we demonstrated that a large number of lncRNAs may play important roles in driving LNCaP cells to undergo androgen independent transformation. These transcripts are potential molecular targets for preventing LNCaP cells from transforming to LNCaP-AI cells.