Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Distribution of Exposure: An Experimental Study Within the Statistical Learning Paradigm

The present study was designed to investigate whether distribution of exposure might facilitate the learning of noun marking of gender subcategories of an unfamiliar, natural language (Russian). Forty graduate students (20 males and 20 females) participated in a between groups experiment where they were familiarized and tested for learning gender marking of Russian nouns. The stimuli was delivered either as three cycles consecutively of 64 items (in total 192 items) before the test phase (massed condition) or divided into three cycles of 64 items separated by a test phase (distributed condition). Learning was operationalized as significantly higher acceptance rate of grammatical items compared to ungrammatical items. The findings revealed that the two conditions produced the learning as measured by higher acceptance of grammatical items than ungrammatical items. The two conditions did not differ in learning outcome. However, the participants’ response time and acceptance rate could indicate that the two conditions triggered different learning strategies. In addition, the measurement of awareness suggested that the two conditions gave similar awareness during the experiment while also reporting recognition of grammatical items more than ungrammatical items.
FACE DETECTION THROUGH FUZZY GRAMMAR

This paper presents a structural face construction and detection system. The proposed system consists the different lightning, rotated facial image, skin color etc. This paper deals with facial recognition method. The practical limitations are presented in these methods. These methods only detect the face when the inputs are full face image. In our method there is no need to show full face of user. We only handle the side view face image. Depending on the face view compare the template face image and fix in which side extract the face up to nose. And construct mirror of the remaining side. Now appropriate face has to be constructed. These formulated face image then compare with original image with local binary pattern.
Positioning and collision alert investigation for DSRC-equipped light vehicles through a case study in CITI

Recent advancements in vehicle-to-vehicle communications have paved the way for testing new solutions to reduce congestion and prevent traffic incidents. The main objective of multiple transport agencies is to improve road safety by providing reliable and flexible solutions to all drivers on the roads. While significant effort has been made in the development of regulations and operating standards, many questions regarding the practical performance and accuracy of such technologies are yet to be answered. This paper presents the results obtained from an ongoing investigation focusing on testing the capabilities of Dedicated Short Range Communications (DSRC) to meet critical levels of road safety in terms of positioning accuracy. After previous analysis of positioning accuracy of heavy vehicles on a test-bed in the Illawarra, New South Wales, Australia, this paper focuses on testing the accuracy of positioning transmitted by two light vehicles while engaged in five different experiments of potential traffic collisions. Firstly, as ground truth is not available, we conduct a comparative analysis of transmitted positioning through Basic Safety Messages by using both Open Street Map and Google Street Map as a ground reference, and show the latter provides better accuracy in computing the positioning error. Secondly, we present the results obtained when analysing the collision alerts generated during the collision experiments. The findings indicate that speed, braking and DSRC installation might influence the successful generation of collision alerts in the vehicles and can be used as a guideline for future settings of DSRC equipped vehicles in light vehicles.
Retrieval by Hierarchical Linear Subspace Method

Nowadays, with the explosion of digital information availability, the need for fast methods to store, organize and quickly access that information has become an important issue. Written content does no longer appear to the consumer exclusively as physical books and magazines. The existence of a myriad of new devices like Personal Digital Assistants, laptops, tablet pc’s, among others, and the concomitant access to the internet, have made a multitudinous number of contents available to every user. The task of manually search or compare this books can be long and painful. Moreover, to quantify the similarity between some books and rank them accordingly, is rather impractical. Systems using keyword matching (also known as boolean) are widely used but are only practical for small documents, although good results can be achieved with more complex systems. Motivated by the results in content-based image retrieval [36], this work consists on experiments to assess whether or not the hierarchical linear subspace method, used with images, works as well with books. The benefits of this method rely not only in its simplicity when compared to other solutions, but also on the good results shown with image retrieval. The major novelty of this work regards the usage of a new method (the hierarchical linear subspace method) to solve the books retrieval problem, while using the existing vector-space model to represent the collection of books in an high-dimensional vector-space. To evaluate the viability of this method regarding books retrieval, several tests were carried out to attest the quality of the results, and of course, the performance.
THE REGISTER-BASED POPULATION AND HOUSING CENSUS : METHODOLOGY AND DEVELOPMENTS THEREOF

Estonia is making preparations for a register-based population and housing census. The article will give an overview of the background of the registerbased census and explains what the benefits of a register-based census are and why conducting such a census requires a different methodology. The article will also explain what the prerequisites for conducting a registerbased census in Estonia are.
Arguing About Task Reallocation Using Ontological Information in Multi-Agent Systems

Argumentation-based dialogue is claimed to be a rich form of agent interaction, which allows agents to make informed decisions using the additional information that is exchanged as arguments during the dialogue. In this paper, we demonstrate how agents can use domain specific knowledge provided by access to ontological information in the process of participating in argumentation-base dialogues. We also demonstrate how information obtained in a dialogue can be used by the agents to argue in subsequent dialogues. As an example scenario, we refer to an assisted living application where agents argue about task reallocation. We then define an agent decision-making process and a protocol; the decision-making and the protocol for argumentation-based dialogues are defined for cooperative agents in our scenario (i.e., task reallocation).
Observing Algorithmic Marketplaces Inthe-Wild LE CHEN

In this letter, we briefly summarize two recent works from our group that use observational data to study the mechanisms used by two large markets. First, we examine Uber’s surge price algorithm, and observe that its incentive model may not be effective at changing driver behavior. Second, we study the adoption of dynamic pricing strategies by sellers on Amazon Marketplace, and investigate how these strategies interact with Amazon’s “Buy Box” matching algorithm. We make our data available to the research community.
First Draft : April , 2009 , Current Draft : February , 2014

In this paper, I propose a one-step nondegenerate test as an alternative to the classical Vuong (1989) tests. I show that the new test achieves uniform asymptotic size control in both the overlapping and the nonoverlapping cases, while the classical Vuong tests do not. Meanwhile, the power of the new test can be substantially better than the two-step classical Vuong test and is not dominated by the one-step classical Vuong test. An extension to moment-based models is also developed. I apply the new test to the voter turnout data set of Coate and Conlin (2004) and find that it can yield model comparison conclusions different from those of the classical tests. The implementation of the new test is straightforward and can be done using the MATLAB and STATA routines accompanying this paper.
Dispersal patterns of juvenile Townsend's ground squirrels in southwestern Idaho

Understanding the effects of habitat reduction or fragmentation on animals requires some knowledge of their dispersal patterns. We used radiotelemetry to examine dispersal characteristics of 59 (37 male and 22 female) juvenile Townsend's ground squirrels (Spermophilus townsendii) on the Snake River Birds of Prey National Conservation Area in southwestern Idaho from April to June in 1993 and 1994. We tested for differences between years, sexes, and habitats in the rates and distances of dispersal. We compared the fates of dispersers and nondispersers and tested whether the direction of dispersal differed from random and whether the distribution of dispersal distances could be fitted to a two-parameter exponential function. Of the 38 animals for which dispersal status could be determined, 16 dispersed. The proportion of dispersers was greater for males than for females, but these rates did not differ by year or habitat type. We found no differences between habitats in dispersal distance. Survival rates through immergence into estivation did not differ between dispersers and nondispersers, suggesting that dispersal is not risky over the short term. Direction of dispersal did not differ from random, and the distribution of dispersal distances was adequately fitted to a truncated exponential distribution with a truncation distance of 118 m. Dispersers tended to end up in the habitat type that they started in, suggesting the possibility of habitat imprinting.
TURBULENCE PATCHES AND FINITE-AMPLITUDE INTERNAL WAVES IN STRATIFIED FLUID WITH STABLE SHEAR

Direct Numerical Simulation is performed to investigate the evolution of internal waves and turbulence inside a stratified medium with stable background shear. The upper-ocean flow consists of a shear layer associated with a sub-surface jet located below a free-slip surface. Inside the shear layer, a well-mixed layer is located on top of a linearly stratified layer in which the gradient Richardson number is larger than 0.25. Holmboe instability is observed to grow at the base of the mixed layer, eject thin wisps of heavy fluid into the mixed layer and subsequently generate turbulence. Holmboe instability also excites internal waves into the linearly stratified region. The waves propagate downward in the stratified sheared medium and are reflected upward when the background velocity is too large to support propagating internal waves according to linear wave theory. Intermittent bursts of turbulence with the dissipation rate of at least two orders of magnitude larger than that of the waves are observed in the linearly stratified region. Horseshoe vortices originated from the mixed layer penetrating downward are found to cause the bursts.
All-speed Long-term Tracker Exploiting Blur

Objects moving at high speeds along complex trajectories often appear in videos, especially videos of sports. Such objects move over non-negligible distances during exposure time of a single frame and therefore their position in the frame is not well defined. We propose a novel approach Tracking by Deblatting (TbD) which is based on the observation that motion blur is directly related to the intra-frame trajectory of an object. Blur is estimated by solving two intertwined inverse problems, blind deblurring and image matting, which we call deblatting. Non-causal TbD method estimates continuous, complete and accurate object trajectories. Full trajectory is estimated by fitting piecewise polynomials, which model physically justifiable trajectories. The output is a continuous trajectory function which assigns location for every real-valued time stamp from zero to the number of frames. As a result, tracked objects are precisely localised with higher temporal resolution than by conventional trackers. The proposed TbD tracker was evaluated on a newly created dataset of videos with ground truth obtained by a high-speed camera using a novel TIoU metric that generalises the traditional Intersection over Union and measures accuracy of intra-frame trajectories. Template learning in combination with a standard long-term tracker allows for long-term object tracking in all speeds. We show that from the trajectory function precise physical calculations are possible, such as radius, gravity or sub-frame object velocity. Results show high performance of TbD in terms of TIoU, recall and speed estimation.
A REVIEW AND ASSESSMENT OF NETWORK CONCEPTS AN]) THEIR APPLICATIONS iN GEOGRAPHY AND RELATED DISCIPLINES

5 Introduction. 5 Network components and terminology . 6 Selected network literature . 12 Graphtheory . 12 Social network analysis . 15 Complex networks and scaling . 16 Geomorphology and landscape ecology . 26 Ecology. 28 Genetic networks . 34 Engineering of service networks, with a focus on GIS . 37 Networks and geography . 40 Some background information . 40 Non-spatial and spatial networks and geography . 43 Network properties influencing system behavior . 49 Conclusion. 53
Word Embeddings in Large-Scale Deep Architecture Learning

Statistical Natural Language Processing (NLP) is now facing various “Big Data” challenges. In machine learning (ML)-based text classification (TC), the current front-line of “Big Data” is millions of training and test documents with hundred of thousands, or even millions, of labels and features. In recent years, in addition to supervised statistical learning approaches, many studies have been carried out with showing success in adopting unsupervised methods for learning continuous word embedding [2, 3], from unlabeled texts. Word embedding (WE) features have actively studied on word analogies, word similarity, chunking, and named entity recognition. WE vectors are also used in TC [4, 7], but there remains the task of investigating how WE features can be infused into existing statistical features in multi-label hierarchical classification. This paper gives a shed on this issue to infusing WE into the large-scale deep architecture learning. We apply a vector space model (VSM) in the deep architecture called Semantically-Augmented Statistical VSM (SAS-VSM) [7] for information access systems, especially for hierarchical text classification (HTC) [5, 6].
Title An Efficient and Scalable Algorithm for Clustering XMLDocuments by Structure

With the standardization of XML as an information exchange language over the net, a huge amount of information is formatted in XML documents. In order to analyze this information efficiently, decomposing the XML documents and storing them in relational tables is a popular practice. However, query processing becomes expensive since, in many cases, an excessive number of joins is required to recover information from the fragmented data. If a collection consists of documents with different structures (for example, they come from different DTDs), mining clusters in the documents could alleviate the fragmentation problem. We propose a hierarchical algorithm (S-GRACE) for clustering XML documents based on structural information in the data. The notion of structure graph (s-graph) is proposed, supporting a computationally efficient distance metric defined between documents and sets of documents. This simple metric yields our new clustering algorithm which is efficient and effective, compared to other approaches based on tree-edit distance. Experiments on real data show that our algorithm can discover clusters not easily identified by manual
Combined data from chloroplast and mitochondrial genome sequences showed paraphyly of bryophytes

The present study was conducted using chloroplast and mitochondrial genome sequences of plants to gain insight on evolutionary relationship of bryophytes. The representative taxa were selected considering the availability of both organelle genome sequences. Phylogenetic analysis using combined data from chloroplast and mitochondrial sequences infer paraphyly of bryophytes.
The top-down regional register allocator for irregular register file architectures

This paper presents a register allocator which performs graph coloring on a top-down traversal of nested regions. Register coalescing, live range splitting, and choosing of better hard registers for architectures with irregular register files are done in an integrated way through a register preferencing technique based on dynamically changing hard register costs. As a regional allocator, the top-down regional allocator is simpler than the Callahan-Koblentz allocator based on bottom-up and top-down passes. The proposed register allocator is compared with the Chaitin-Briggs and Callahan-Koblentz register allocators. The same infrastructure and register preferencing technique are used to implement all of these register allocators to ensure a fair comparison. The SPECInt2000 results show that the top-down regional register allocator works best for x86 in the GCC environment.
Estimation of the FWM Noise Probability Density Function Using the Multi-Canonical Monte-Carlo Method

The performance of high-powered Wavelength Division Multiplexed (WDM) optical networks can be severely degraded due to the Four Wave Mixing (FWM) induced distortion. In this paper, the Multi-Canonical Monte Carlo Method (MCMC) is used to calculate the probability density function (PDF) of the decision variable of a receiver limited by the FWM noise. Compared to the conventional Monte Carlo method previously used in the literature to estimate this PDF, the MCMC method is much faster and can accurately estimate very low error probabilities. The method takes into account the correlation between the components of the FWM noise unlike the Gaussian model, which is shown not to provide accurate results.
Dendroclimatological analysis of the radial growth rings for oak in Moldova plateau

By using the dendroclimatological method we have analyzed the climate influence upon the tree growth. Since the annual growth ring can be differentiated on intra-annual growing periods, respectively earlywood and latewood, the climate analysis was done with an intra-annual resolution, but finally reported to the total annual growth. The studied statistical parameters are the most representative for the definition of the analyzed relationships respectively the correlation and the response functions. In order to check the obtained results we will calculate the event years for the series of growth indexes of annual rings (RW). To understand ecosystem response and variety consequences of environmental changes I have built three oak tree ring chronology with a significant sensitivity to the climate. The importance of this study comes from the need to know the adaptation way of the tree to the climate factor, which is mostly essential for the long term evolution of wood species.
Hip arthroplasty : Incidence and risk factors for surgical site infection

Background: The number of surgical procedures for total hip arthroplasty has increased worldwide, in a direct proportion to the increase in life expectancy of the population. Surgical site infection is the main complication, with several related factors for its occurrence. The objective of this study was to evaluate the incidence of surgical site infection in patients undergoing elective total hip arthroplasty in a tertiary hospital in Brazil, and to identify possible risk factors involved in surgical site infections within the context of Brazilian healthcare. Methods: A total of 130 patients who have undergone total hip arthroplasty, performed by two surgeons, between June of 2015 and April of 2017 were studied. The Cox regression model was used to identify which covariates among those surveyed influenced the follow-up time, and the hazard ratio was calculated. Results: The incidence of SSI within 90 days after surgery was 5.4%, with all identified infections classified as superficial. A multivariate survival analysis indicated diabetes and previous hip surgery as risk factors for surgical site infection. Conclusions: The knowledgement of the epidemiological aspects of orthopedic surgical site infection, are important for management of actions for infection prevention.
Effects of photon momentum in nonrelativistic ( gamma , 2 e ) processes "

We study the effects of nonzero photon momentum on the triply differential cross section (TDCS) for (γ,2e) processes. Due to the low value of the photon momentum, these effects are weak and manifest only in special kinematical conditions such as the back-to-back emission of the electrons with equal energy sharing. Helium and a few light heliumlike ions are treated in detail. Quite unexpectedly, the magnitude of these effects is maximal for relatively small photon energies. However, although this effect on the TDCS remains rather small, of the order of a few mb eV−1 sr−2, it is sufficient to be observed experimentally. Document type : Article de périodique (Journal article) Référence bibliographique Galstyan, A.G. ; Chuluunbaatar, O. ; Popov, Youri ; Piraux, Bernard. Effects of photon momentum in nonrelativistic (gamma,2e) processes. In: Physical review. A, Atomic, molecular, and optical physics, Vol. 85, no.2, p. art n° 023418 (February 2012) DOI : 10.1103/PhysRevA.85. 023418 PHYSICAL REVIEW A 85, 023418 (2012) Effects of photon momentum in nonrelativistic (γ,2e) processes A. G. Galstyan,1,* O. Chuluunbaatar,2 Yu. V. Popov,3,† and B. Piraux4 1Physics Faculty, Moscow State University, Moscow, Russia 2Joint Institute for Nuclear Research, Dubna, Russia 3Skobeltsyn Institute of Nuclear Physics, Moscow State University, Moscow, Russia 4Institute of Condensed Matter and Nanosciences, Université catholique de Louvain, 2, chemin du Cyclotron, Box L7.01. 07, B-1348 Louvain-la-Neuve, Belgium (Received 6 January 2012; published 21 February 2012) We study the effects of nonzero photon momentum on the triply differential cross section (TDCS) for (γ,2e) processes. Due to the low value of the photon momentum, these effects are weak and manifest only in special kinematical conditions such as the back-to-back emission of the electrons with equal energy sharing. Helium and a few light heliumlike ions are treated in detail. Quite unexpectedly, the magnitude of these effects is maximal for relatively small photon energies. However, although this effect on the TDCS remains rather small, of the order of a few mb eV−1 sr−2, it is sufficient to be observed experimentally. DOI: 10.1103/PhysRevA.85. 023418 PACS number(s): 32.80. Fb, 31.30. jn
Bioinformatics and differential expression analysis of chalcone synthase genes (CHS1, 2, 3) under gamma rays elicitation in Silybum marianum L.

Silymarin is a constitutive secondary metabolite extracted from Silybum marianum seeds with wide therapeutic and medical effects. Gamma irradiation could be a powerful tool for obtaining promising mutated genotypes of S. marianum with high contents of flavonolignans. The transcript levels of the chalcone synthase genes (CHS1, CHS2, and CHS3), encoded for silymarin, in response to two different gamma irradiation doses (200 and 600GY) were determined using qRT-PCR. Also, Molecular isolation and characterization of chalcone synthase genes and its encoded protein were investigated via bioinformatics tools. Results of qRT-PCR confirmed that exposure of S. marianum seeds to gamma irradiation up-regulated the expression of the CHS1, CHS2 and CHS3 genes which could be positively correlated with increasing of silymarin content in the fruits. In conclusion, the increasing of flavonolignans content conflicts a great contribution in the field of medicine.