Miracle-dz/UniFAR-FTUs huggingface dataset:
Selection on Wavelet Base for the Detection of Ship Pitching Movement Disturbances

Wavelet analysis is becoming a useful tool because it allows the decomposition of data functions into different frequency or scale components. Accordingly wavelet transforms are to be suited to analyze short-timed high-frequency phenomena. The remarkable ability of wavelets to highlight the singularities associated with shocks present in the ship pitch field is explored. In the detection of ship pitch disturbance, It was observed in the singularity signal the sharp points were located at the position responding to the end or the start of disturbances. Singularity theory of detecting signal based on wavelet transform was applied to the local detection of these sharp points, the mother wavelet option method is studied . Simulations verify the detecting validity and accuracy of the selected mother wavelet.
Children's Early Literacy Environment in Chinese and American Indian Families.

This study examined how Chinese and American Indian mothers support their young children's early literacy development in everyday interactions. Twenty mother-child dyads in each cultural community participated in the study. Analysis of videotaped interactions indicated that the mothers in the two communities differed greatly in the ways they supported their children in early literacy development. The Chinese mothers tended to privilege print-based literacy interactions more than the American Indian mothers. The American Indian mothers tended to privilege literacy interactions based on oral narratives of life and personal experiences. Moreover, the mothers in the two communities emphasized different aspects when supporting their children's early literacy development. The Chinese mothers tended to support their children in explicit, event-specific, and elaborative ways. In contrast, the American Indian mothers tended to support their children in implicit and contextual ways. (Contains 30 references.) (Author/EV) Reproductions supplied by EDRS are the best that can be made from the original document.
BGP Behavior through Analysis of Prefix Beacons

We are analyzing BGP beacons which are announced and withdrawn, usually within two hour intervals. These announcements and more particularly the withdraws have an effect on neighboring prefixes and down the line to their neighbors as well. We are conducting analysis on the number of updates that are propagated as a result of these events. We then look at the number of updates which could have been eliminated if route flap damping had been installed on the routers. We also analyze the relative convergence period associated with each beacon event and how it is correlated to the number of update messages collected by RouteViews[4]. I. WHAT IS A BGP BEACON The Border Gateway Protocol (BGP) is the central agent used to conduct data through the internet. A large group of networks put together have a gateway router which communicates to the internet at large. All data packets which are not meant for the immediate network go through this gateway router into the global internet through this router. This router has a prefix which is associated with it and this is how other networks identify it. Once a packet leaves your local prefix and enters the BGP it can take a number of different paths specified at each router to reach its destination. A number of previous analytical and measurement studies have shown the existence of BGP path exploration and a slow convergence in the operational Internet routing system, which can potentially lead to sever performance problems in data delivery. [1] This path exploration suggests that some BGP routers, in response to a path failure, may try a number of transient paths before settling and declaring a new best path or declaring a destination unreachable. This may cause the entire network to take a long time to settle and converge to the final decision, which causes slow routing convergence. An example of a failed path and resulting path exploration is depicted in figure 1. Figure 1: Failed Path and Resulting Path
Solving Algebraic Riccati Equations with SLICOT

The numerical solution of algebraic Riccati equations is a central issue in computer-aided control systems design. It is the key step in many computational methods for model reduction, filtering, and controller design for linear control systems. We discuss recent advances in the solvers for continuous-time and discrete-time algebraic Riccati equations available in the SLICOT Library (Subroutine Library In COntrol Theory) and compare their performance with the corresponding solvers in the Matlab toolboxes. Keywords— algebraic Riccati equations, numerical algorithms, computer-aided control system design, numerical linear algebra, software library
A 2dF spectroscopic study of globular clusters in NGC 5128: probing the formation history of the nearest giant elliptical

We have performed a spectroscopic study of globular clusters (GCs) in the nearest giant elliptical NGC 5128 using the 2dF facility at the Anglo-Australian Telescope. We obtained integrated optical spectra for a total of 254 GCs, 79 of which are newly confirmed on the basis of their radial velocities and spectra. In addition, we obtained an integrated spectrum of the galaxy starlight along the southern major axis. We derive an empirical metallicity distribution function (MDF) for 207 GCs (∼14 per cent of the estimated total GC system) based upon Milky Way GCs. This MDF is multimodal at high statistical significance with peaks at [Z/H] ∼ - 1.3 and -0.5. A comparison between the GC MDF and that of the stellar halo at 20 kpc (∼4R e ) reveals close coincidence at the metal-rich ends of the distributions. However, an inner 8-kpc stellar MDF shows a clear excess of metal-rich stars when compared to the GCs. We compare a higher signal-to-noise ratio (S/N) subsample (147 GCs) with two stellar population models which include non-solar abundance ratio corrections. The vast majority of our sample (∼90 per cent) appears old, with ages similar to the Milky Way GC system. There is evidence for a population of intermediate-age (∼4-8 Gyr) GCs (≤15 per cent of the sample) which are on average more metal-rich than the old GCs. We also identify at least one younger cluster (∼ 1-2 Gyr) in the central regions of the galaxy. Our observations are consistent with a picture where NGC 5128 has undergone at least two mergers and/or interactions involving star formation and limited GC formation since z = 1, however the effect of non-canonical hot stellar populations on the integrated spectra of GCs remains an outstanding uncertainty in our GC age estimates.
Ecological Impacts of Wind Energy Development on Bats: Questions, Research Needs, and Hypotheses

At a time of growing concern over the rising costs and long-term environmental impacts of the use of fossil fuels and nuclear energy, wind energy has become an increasingly important sector of the electrical power industry, largely because it has been promoted as being emission-free and is supported by government subsidies and tax credits. However, large numbers of bats are killed at utility-scale wind energy facilities, especially along forested ridgetops in the eastern United States. These fatalities raise important concerns about cumulative impacts of proposed wind energy development on bat populations. This paper summarizes evidence of bat fatalities at wind energy facilities in the US, makes projections of cumulative fatalities of bats in the Mid-Atlantic Highlands, identifies research needs, and proposes hypotheses to better inform researchers, developers, decision makers, and other stakeholders, and to help minimize adverse effects of wind energy development.
Four Dimensional Abelian Duality and DL (2, Z ) Action in Three Dimensional Conformal Field Theory

Recently, Witten showed that there is a natural action of the group SL(2,Z) on the space of 3 dimensional conformal field theories with U(1) global symmetry and a chosen coupling of the symmetry current to a background gauge field on a 3-fold N. He further argued that, for a class of conformal field theories, in the nearly Gaussian limit, this SL(2,Z) action may be viewed as a holographic image of the well-known SL(2,Z) Abelian duality of a pure U(1) gauge theory on AdS-like 4-folds M bounded by N, as dictated by the AdS/CFT correspondence. However, he showed that explicitly only for the generator T; for the generator S, instead, his analysis remained conjectural. In this paper, we propose a solution of this problem. We derive a general holographic formula for the nearly Gaussian generating functional of the correlators of the symmetry current and, using this, we show that Witten's conjecture is indeed correct when N=S^3. We further identify a class of homology 3-spheres N for which Witten's conjecture takes a particular simple form.
Reconceptualising Pre-Service Teacher Education: The Applicability of a Cognitive Apprenticeship Model.

This paper introduces the design for a study to investigate application of a cognitive apprenticeship approach to preservice teacher education. The research will be informed by and build upon the findings of a previous Master of Education dissertation. In particular, the study seeks to investigate answers to the following research question: To what extent does the cognitive apprenticeship model improve the nexus between the propositional and procedural knowledge of beginning teachers? The plan for the investigation is an interventionist one in which, in addition to "normal" requirements of the preservice teacher education program, six final year students will undertake supplementary instruction modelled on the principles and reflecting the teachings of cognitive apprenticeship. Data on participants' personal constructs of teaching and learning will be collected through personal journals, stimulated recall interviews, and the elicitation of successive individual Repertory Grids. A proposed timeline (1994-1996) including research procedures is provided. (Contains 50 references.) (LL) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************
A Simple Model of Informative Advertising

This paper presents an oligopolistic model of informative advertising, where firms simultaneously choose prices and advertising intensities. For this game there is a dispersed price equilibrium in which the amount of advertising by each firm is socially optimal. The advertising technology considered is more general than in Butters, however his results can be obtained as the number of firms tends to infinity. For some advertising technologies entry leads to a market contraction; we can also observe situations where increases in advertising costs lead to higher profits. This model can be used as a "benchmark" against which other models of informative advertising can be compared.
Gender-Dependent Effects of Maternal Immune Activation on the Behavior of Mouse Offspring

Autism spectrum disorders are neurodevelopmental disorders characterized by two core symptoms; impaired social interactions and communication, and ritualistic or repetitive behaviors. Both epidemiological and biochemical evidence suggests that a subpopulation of autistics may be linked to immune perturbations that occurred during fetal development. These findings have given rise to an animal model, called the “maternal immune activation” model, whereby the offspring from female rodents who were subjected to an immune stimulus during early or mid-pregnancy are studied. Here, C57BL/6 mouse dams were treated mid-gestation with saline, lipopolysaccharide (LPS) to mimic a bacterial infection, or polyinosinic:polycytidylic acid (Poly IC) to mimic a viral infection. Autism-associated behaviors were examined in the adult offspring of the treated dams. Behavioral tests were conducted to assess motor activity, exploration in a novel environment, sociability, and repetitive behaviors, and data analyses were carried independently on male and female mice. We observed a main treatment effect whereby male offspring from Poly IC-treated dams showed reduced motor activity. In the marble burying test of repetitive behavior, male offspring but not female offspring from both LPS and Poly IC-treated mothers showed increased marble burying. Our findings indicate that offspring from mothers subjected to immune stimulation during gestation show a gender-specific increase in stereotyped repetitive behavior.
Retrieval of Information from Temporal Document Databases

Current technology allows us to create large databases of documents that afterwards can be accessed in several ways. However, the resulting systems do not offer proper tools for retrieving historical information from the stored documents by considering their temporal properties. Starting from an object-oriented database model that represents documents together with their temporal features, the main proposal of this paper is a family of new query operators called chronicles. By means of time intervals indicating the temporal location of document contents, chronicles group documents according to several temporal patterns so that their relationships are more evident. Among other things, chronicles are useful to determine the evolution of events, to search for certain temporal patterns, and to find out cause-effect relationships among documents.
Health Promoting Effects of Phytochemicals from Brassicaceae: A Review

Over the past several years, natural antioxidants have attracted considerable interest as potential treatment for a wide variety of disease states, including cancer and other causes e.g. chronic inflammatory diseases and aging. Therefore, plant derived antioxidants are now receiving a special attention as they possess good antioxidant properties and hence a worldwide trend towards the use of natural phytochemicals present in fruits and vegetables have been reported. Numerous epidemiological studies indicate that consumption of cruciferous vegetables is associated with prevention of cardiovascular diseases and reduced incidence of cancers of the gastrointestinal tract and other sites. The substances that seem to be responsible for these properties are phenolic compounds (phenolic acids, flavonoids, polyphenols etc.) and sulphur-containing organic compound glucosinolates and their derived products. The present review focuses on the health promoting effects of phytochemicals and their beneficial bioactivities in Brassicaceae.
ReSeg: A Recurrent Neural Network for Object Segmentation

We propose a structured prediction architecture for images centered around deep recurrent neural networks. The proposed network, called ReSeg, is based on the recently introduced ReNet model for object classification. We modify and extend it to perform object segmentation, noting that the avoidance of pooling can greatly simplify pixel-wise tasks for images. The ReSeg layer is composed of four recurrent neural networks that sweep the image horizontally and vertically in both directions, along with a final layer that expands the prediction back to the original image size. ReSeg combines multiple ReSeg layers with several possible input layers as well as a final layer which expands the prediction back to the original image size, making it suitable for a variety of structured prediction tasks. We evaluate ReSeg on the specific task of object segmentation with three widely-used image segmentation datasets, namely Weizmann Horse, Fashionista and Oxford Flower. The results suggest that ReSeg can challenge the state of the art in object segmentation, and may have further applications in structured prediction at large.
Retweet Behavior Prediction in Twitter

Retweet, as a main way to spread information in twitter, has been researched in a number of works. Recently research focuses on analyzing the factors of retweet behavior. However, the prediction on retweet behavior is a new challenge which is not well studied in the past. A basic fact is that different people are interested in different kinds of tweets, and they will retweet tweets which they are interested in. First, we collect tweets of different categories from valid account of famous news media as learning corpus. Second, in order to discover user interests, we classify user tweets into different categories by Bayes model. Finally, we measure user interests on tweets of different categories, and predict retweet behavior by interest measurement. This paper extends the previous study on retweet behavior, and we predict user retweet behavior as well as infer user interests. Experiment shows Bayes model has good performance on classifying tweets, and our algorithm achieves more precision than others.
CCL18 from tumor‐cells promotes epithelial ovarian cancer metastasis via mTOR signaling pathway

CCL18 is a chemotactic cytokine involved in the pathogenesis and progression of various disorders, including cancer. Previously, our results showed high levels of CCL18 in the serum of epithelial ovarian carcinoma patients suggesting its potential as a circulating biomarker. In this study, we determined that CCL18 expression was up‐regulated in ovarian carcinoma compared with adjacent tissue and was expressed in carcinoma cells in the tumor and not in normal ovarian epithelial cells by laser capture microdissection coupled with real‐time RT‐PCR. Moreover, correlation analysis showed that the CCL18 level was positively correlated with the metastasis of patients with ovarian cancer. Survival analysis also revealed that an increased level of CCL18 was associated with worse survival time in ovarian cancer patients. Over‐expression of CCL18 led to enhanced migration and invasion of the Skov3 ovarian cancer cell line in vitro and in vivo. Finally, proteomics analysis demonstrated that CCL18‐mediated ovarian cancer invasiveness was strongly correlated with the mTORC2 pathway. These findings suggest that the CCL18 chemokine has an important role in chemokine‐mediated tumor metastasis, and may serve as a potential predictor for poor survival outcomes for ovarian cancer. © 2015 The Authors. Molecular Carcinogenesis published by Wiley Periodicals, Inc.
Performance evaluation of ephemeral logging

Ephemeral logging (EL) is a new technique for managing a log of database activity on disk. It does not require periodic checkpoints and does not abort lengthy transactions as frequently as traditional firewall logging for the same amount of disk space. Therefore, it is well suited for highly concurrent databases and applications which have a wide distribution of transaction lifetimes. This paper briefly explains EL and then analyzes its performance. Simulation studies indicate that it can offer significant savings in disk space, at the expense of slightly higher bandwidth for logging and more main memory. The reduced size of the log implies much faster recovery after a crash as well as cost savings. EL is the method of choice in some but not all situations. We assess the limitations of our current knowledge about EL and suggest promising directions for further research.
Why Do Inventories Rise When Demand Falls in Housing and Other Markets?

Inventories and price changes are correlated. The inverse relation is most obvious in housing where inventories build in low-demand markets and shrink in high-demand markets. This is a puzzle. Symmetry of information among buyers and sellers would seem to imply that sellers would change their reservation value by the amount that buyers change their offers. Because there is heterogeneity among buyers in the valuation of a given house, sellers set prices strategically. When demand falls, sellers rationally lower their prices, but not by enough to keep the probability of sale constant. As a result, inventories grow.
The use of RSS and NI filtering for the Wireless indoor localization and tracking of mobile robots with different motion models

In recent years there has been a rapid increase in indoor applications of mobile robots, where the knowledge of real-time location has become more and more important. In this framework, the methods about the location estimation are gaining the focus under the umbrella of Indoor Positioning technology, which is suitable for location-based applications. Here, for the purpose of dynamic and static tracking of a mobile user's location, we combine RSS (Received Signal Strength) measurement of WLANs (Wireless Local Area Networks) with the dynamic modeling of the mobile user. The joint approach is preferred for the minimization of the errors that are bound to occur due to RSS and to improve the accuracy of the overall estimation. This is accomplished through Non-Parametric Information Filter (NI Filter), which does not require an explicit information concerning RSS-position, and the Likelihood Density Estimation, which has low-error rate performance. The overall approach enabled us to develop two algorithms for different dynamic motions. Experimental results are obtained by actual measurements in an office environment and ARMSE (Average Root Mean Square Error) has been used as the assessment criteria. The study in mitigating the difficulties arising due to the unpredictable nature of RSS in indoor environment presented an improvement of 5,15m (49,76 %) in positioning error relative to Memoryless Positioning alone.
Hydrogel-Based Platforms for the Regeneration of Osteochondral Tissue and Intervertebral Disc

Hydrogels currently represent a powerful solution to promote the regeneration of soft and hard tissues. Primarily, they assure efficient bio-molecular interactions with cells, also regulating their basic functions, guiding the spatially and temporally complex multi-cellular processes of tissue formation, and ultimately facilitating the restoration of structure and function of damaged or dysfunctional tissues. In order to overcome basic drawbacks of traditional synthesized hydrogels, many recent strategies have been implemented to realize multi-component hydrogels based on natural and/or synthetic materials with tailored chemistries and different degradation kinetics. Here, a critical review of main strategies has been proposed based on the use of hydrogels-based devices for the regeneration of complex tissues, i.e., osteo-chondral tissues and intervertebral disc.
Effects of Motor Cortical Stimulation during Planar Reaching Movement

Background : The purpose was to examine the effects of single pulse transcranial magnetic stimulation (TMS) over primary motor cortex delivered at different times during a center-out reaching task in a robot reaching environment. Methods : Eleven right-handed subjects participated. Movement hotspots and thresholds were determined for each subject, and the stimulation intensity was set at 120% of the movement threshold. TMS was delivered at rest and when subjects performed a series of reaching tasks. The 5 different conditions were: no stimulation, sham stimulation, and stimulation at 150, 500, or 1000 ms post go cue. Outcome measures included TMS-evoked movement during rest and in the 150ms condition, trajectory deviations (no stimulation, sham, and 150ms conditions), and peak velocity (PV), path length, reaction time, acceleration time, and deceleration time for all conditions. Results : When TMS was applied at 150 ms, the evoked path lengths were significantly shorter than at rest and had less deviation than the no-stimulation condition ( p < 0.05). Peak velocities were lowest during the no-stimulation condition and highest during the 500ms condition ( p < 0.05). Path lengths were significantly shorter during the no-stimulation, sham, and 150ms condition compared to the 500ms and 1000ms conditions. Conclusions : TMS applied during the reaction time phase suppressed movements evoked by TMS, decreased trajectory deviations, and shortened path length, while TMS delivered after movement onset increased PV and path length. TMS stimulation may be delivered to enhance movement parameters and potentially facilitate reach training in the robotic rehabilitation environment.