Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of sodium alginate microspheres in ischemic stroke modeling in miniature pigs

The miniature pig is an optimal animal model for studying nervous system disease because of its physiologic and pathologic features. However, the rete mirabile composed of arteries and veins at the skull base limits their application as a model of ischemic stroke by middle cerebral artery occlusion. The present study investigated the possibility of establishing an ischemic stroke model in the miniature pig by blocking the skull base retia with sodium alginate microspheres. Three Bama miniature pigs were used. Using the monitor of C-arm X-ray machine, sodium alginate microspheres (100–300 μm), a novel embolic material, were injected through the femoral artery, aortic arch, common carotid artery, ascending pharyngeal artery and the retia. Results were evaluated using carotid arteriography, MRI, behavior observation and histology. The unilateral rete mirabile was completely blocked, resulting in disturbance in blood supply to the basal ganglia, astasia of the right hind limb and salivation. MRI and hematoxylin-eosin staining showed an evident infarction focus in the basal ganglia. These findings indicate that sodium alginate microspheres are a suitable embolic material for blocking the skull base retia in miniature pigs to establish an ischemic stroke models.
An idealized self or the real me? Predicting attraction to online dating profiles using selective self-presentation and warranting

ABSTRACT Online daters construct their profiles to attract potential partners and viewers’ assessments are based on the content of dating profiles. However, little is known about the mechanisms or nature of the associations that connect variations in profile content to outcomes. This study examined the presence of selective self-presentation (SSP) and warranting content as predictors of viewers’ impressions and intentions to act on dating profiles. A national sample of online daters (N = 316) provided their impressions and intended outcomes after viewing manipulated dating profiles. Results indicate that high levels of SSP decrease intentions to act on a dating profile because users find these profiles to be less socially attractive, whereas profiles with high warranting value increase positive outcomes by eliciting trust.
CNN as Guided Multi-layer RECOS Transform

There is a resurging interest in developing a neural-network-based solution to the supervised machine learning problem. The convolutional neural network (CNN) will be studied in this note. To begin with, we introduce a RECOS transform as a basic building block of CNNs. The "RECOS" is an acronym for "REctified-COrrelations on a Sphere". It consists of two main concepts: 1) data clustering on a sphere and 2) rectification. Afterwards, we interpret a CNN as a network that implements the guided multi-layer RECOS transform with three highlights. First, we compare the traditional single-layer and modern multi-layer signal analysis approaches, point out key ingredients that enable the multi-layer approach, and provide a full explanation to the operating principle of CNNs. Second, we discuss how guidance is provided by labels through backpropagation (BP) in the training. Third, we show that a trained network can be greatly simplified in the testing stage demanding only one-bit representation for both filter weights and inputs.
IRSp53 Mediates Podosome Formation via VASP in NIH-Src Cells

Podosomes are cellular “feet,” characterized by F-actin-rich membrane protrusions, which drive cell migration and invasion into the extracellular matrix. Small GTPases that regulate the actin cytoskeleton, such as Cdc42 and Rac are central regulators of podosome formation. The adaptor protein IRSp53 contains an I-BAR domain that deforms membranes into protrusions and binds to Rac, a CRIB motif that interacts with Cdc42, an SH3 domain that binds to many actin cytoskeletal regulators with proline-rich peptides including VASP, and the C-terminal variable region by splicing. However, the role of IRSp53 and VASP in podosome formation had been unclear. Here we found that the knockdown of IRSp53 by RNAi attenuates podosome formation and migration in Src-transformed NIH3T3 (NIH-Src) cells. Importantly, the differences in the IRSp53 C-terminal splicing isoforms did not affect podosome formation. Overexpression of IRSp53 deletion mutants suggested the importance of linking small GTPases to SH3 binding partners. Interestingly, VASP physically interacted with IRSp53 in NIH-Src cells and was essential for podosome formation. These data highlight the role of IRSp53 as a linker of small GTPases to VASP for podosome formation.
Named entity recognition on real data: A preliminary investigation for Turkish

Named Entity Recognition (NER) is a well-studied area in natural language processing (NLP) and the reported results in the literature are generally very high (~>%95) for most of the languages. Today, the focus area of most practical natural language applications (i.e. web mining, sentiment analysis, machine translation) is real natural language data such as Web2.0 or speech data. Nevertheless, the NER task is rarely investigated on this type of data which differs severely from formal written text. In this paper, we present 3 new Turkish data sets from different domains (on this focused area; namely from Twitter, a Speech-to-Text Interface and a Hardware Forum) annotated specifically for NER and report our first results on them. We believe, the paper draws light to the difficulty of these new domains for NER and the possible future work.
Child welfare systems and migrant children

and colleagues in a number of international settings. In this way, a broad international lens and relevance is maintained. This book will be invaluable for academics and practitioners contemplating or actively engaged in practice research partnerships. The perceived barriers between knowledge generation and practice application are carefully and deliberately challenged in this book. If all entry-topractice students were to emerge with this understanding of the importance and potential of practice research in their daily practice from the outset, the profession’s tendency to question the place of research will be transformed. Many postgraduate students will also benefit from reading this, given that so many are at heart practitioners seeking to create new knowledge for practice and for improving client experiences and outcomes.
Word-level Alignment for Multilingual Resource Acquisition

Abstract : We present a simple, one-pass word alignment algorithm for parallel text. Our algorithm utilizes synchronous parsing and takes advantage of existing syntactic annotations. In our experiments the performance of this model is comparable to more complicated iterative methods. We discuss the challenges and potential benefits of using the model to train syntactic parsers for new languages.
Enhancing ns-2 simulator for high mobility ad hoc networks in Car-to-Car communication context

Ad hoc networks, particularly around IEEE 802.11 standards, are subject to increasing research interest. For a class of applications, involving terminals with high mobility, the experimentation is sometimes hardly affordable. The simulation is thus essential to explore new communication services. In this paper we explain the modification of ns-2 simulator, fed back with experimentation data, in order to obtain enhanced results more complying to the reality.
U.S.-Bound Ipos: Issue Costs and Market Selectivity

We examine initial public offerings (IPOs) by foreign firms in the U.S. market between 1990 and 1997, and compare their direct and indirect issue costs to IPOs by U.S. firms. Our results indicate that foreign IPOs involve approximately the same costs on average as domestic IPOs, for all except those experiencing strong demand and upward revisions in the offer price over the course of the road show. For upwardly revised IPOs, foreign IPOs have significantly lower underpricing compared to domestic IPOs. For these offers, we find that lower underpricing is associated with less risk due to the generally greater quality of foreign issuers. It is also the case that these offers are sold more frequently in multiple markets. In addition, we observe lower underpricing for IPOs from emerging markets, which is consistent with demand being driven to some extent by diversification. Overall, we uncover no evidence to suggest that foreign IPOs experience greater capital raising costs than domestic IPOs.
Determining AR order for BCI based on motor imagery

In this paper, autoregressive (AR) model coefficients and support vector machine (SVM) are used to classify the motor imagery EEG available from the well-known BCI competition database. In order to determine AR order, we use paired t-test to assess the impact of AR order on the classification precision of motor imagery EEG. The results show that there is a significant difference in the classification performance when the different AR orders are used to model motor imagery EEG. In this investigation, 12-order prevails. We try using the method of continuous re-training the SVM classifier to improve the classification precision of motor imagery EEG, and the experimental results show that the method is feasible and effective.
Electric field distribution analysis of 110 kV composite insulator using Finite Element Modeling

High voltage insulators are the inherent part of the power system. Among them composite insulators are essential for medium and high voltage applications. A factor which has a major influence on the electrical performance of composite insulator is an electric field distribution along their length and surface. In this paper, the electric field and the factors affecting the electric field distribution along the 110 kV silicone rubber composite insulators are discussed. This analysis has been performed by designing the 110 kV insulators with four different weather sheds. Then these insulator models are simulated under clean, uniformly polluted and dry band surface conditions. The maximum electric field and the region where it exists have been studied for all the surface conditions. Depends on the above investigation, the simulation results have been presented and examined for 110 kV composite insulators. Furthermore the heat generated and the spot where it occurs have been evaluated for all the surface conditions. The insulator configuration are modeled and analyzed by using Finite Element Method (FEM).
Self-Adaptive Network On Chips

NoC and highly variable traffics will be quite common in future SoCs. Self-Adaptive NoCs provide a solution to optimise energy efficiency and performances at runtime in this uncertain environment. This paper first provides a brief survey of of self-adaptive NoCs. Secondly it presents a solution based on Self-Adaptive Network Interface include configurable FIFOs and TDMA tables. Finally it draws perpectives.
A Case of Nongerminomatous Germ Cell Tumor of the Pineal Region: Risks and Advantages of Biopsy by Endoscopic Approach

A 21-year-old male was admitted to our department with headache and drowsiness. CT scan and MRI revealed acute obstructive hydrocephalus caused by a pineal region mass. The serum and CSF levels of beta-human chorionic gonadotropin (beta-hCG) were 215 IU/L and 447 IU/L, respectively, while levels of alpha-fetoprotein (AFP) were normal. A germ cell tumor (GCT) was suspected, and the patient underwent endoscopic third ventriculostomy (ETV) with biopsy. After four days from surgery, the tumor bled with mass expansion and ETV stoma occlusion; thus, a ventriculoperitoneal shunt was positioned. After ten months, the tumor metastasized to the thorax and abdomen with progression of intracerebral tumor mass. Despite the aggressive nature of this tumor, ETV remains a valid approach for a pineal region mass, but in case of GCT, the risk of bleeding should be taken into account, during and after the surgical procedure.
Admissible linear map models of linear cameras

This paper presents a complete analytical characterization of a large class of central and non-central imaging devices dubbed linear cameras by Ponce [9]. Pajdla [7] has shown that a subset of these, the oblique cameras, can be modelled by a certain type of linear map. We give here a full tabulation of all admissible maps that induce cameras in the general sense of Grossberg and Nayar [4], and show that these cameras are exactly the linear ones. Combining these two models with a new notion of intrinsic parameters and normalized coordinates for linear cameras allows us to give simple analytical formulas for direct and inverse projections. We also show that the epipolar geometry of any two linear cameras can be characterized by a fundamental matrix whose size is at most 6 × 6 when the cameras are uncalibrated, or by an essential matrix of size at most 4 × 4 when their internal parameters are known. Similar results hold for trinocular constraints.
Language attitudes and linguistic awareness in Jamaican English

This paper presents results from a pilot study testing the acceptability of a number of lexical and morphosyntactic features which have been identified in previous corpus-based analyses as more frequent in educated Jamaican English usage than in other standard varieties of English. The results from the questionnaire survey show that there are considerable differences between individual items on the questionnaire, with regard to their acceptability in writing as well as their regional background. Such differences merit further investigation and must be taken into account in the codification of a standard Jamaican English.
Geometric Feature Extraction from Urdu Ligatures

ABSTRAC: -This research aims at the extraction of geometric features from Urdu ligatures. Though structural features are robust, its extraction and analysis is exceptionally complex and time-consuming task. The extraction and analysis is uncomplicated in case of the geometric features. Geometric features are language, script and font independent. There are twelve significant geometric features extracted from the ligature images. Specifically, these twelve features are the height, width, aspect ratio, density function, perimeter, area, perimeter to area ratio, horizontal projection profile, vertical projection profile, start point, end point and the slope between start and end point.
A Graph-Based Representation of Object-Oriented Designs

This article proposes a general graph-based representation for modeling Object Oriented (OO) software designs. The advantages of the representation over the Unified Modeling Language (UML) are: it formalizes the link between primitive OO design features and primitive entities of graphs; it models all the design features of an OO design in one cohesive graph; it provides us a convenient platform for formal analysis and reasoning. Thus, the representation allows us to investigate various properties of OO designs, through their graph representations. These properties include software metrics, link predications and small world phenomenon etc.
Which facets are easy to use and useful in accessing consumer health information on the web?: a pilot study

This paper presents preliminary results from our ongoing research project which explores easy to use and useful facets in accessing consumer health information on the Web. In this pilot study, first, 10 facets were identified by analyzing 10 top ranked health information websites. Then, users' perceptions of easiness and usefulness of each facet in accessing online health information were examined by conducting a survey. The preliminary results revealed that "disease" and "body part" facets are easy to use in accessing online health information, and "disease" and "department" are considered to be effective in accessing online health information.
Power, Thermal, and Reliability Modeling in Nanometer-Scale Microprocessors

System integration and performance requirements are dramatically increasing the power consumptions and power densities of high-performance microprocessors. High power consumption introduces challenges to various aspects of microprocessor and computer system design. It increases the cost of cooling and packaging design, reduces system reliability, complicates power supply circuitry design, and reduces battery life. Researchers have recently dedicated intensive effort to power-related design problems. Modeling is the essential first step toward design optimization. In this article, the power, thermal and reliability modeling problems are explained and recent advances in their accurate and efficient analysis are surveyed.
Continuum limit of self-driven particles with orientation interaction

The discrete Couzin–Vicsek algorithm (CVA), which describes the interactions of individuals among animal societies such as fish schools is considered. In this paper, a kinetic (mean-field) version of the CVA model is proposed and its formal macroscopic limit is provided. The final macroscopic model involves a conservation equation for the density of the individuals and a non-conservative equation for the director of the mean velocity and is proved to be hyperbolic. The derivation is based on the introduction of a non-conventional concept of a collisional invariant of a collision operator.
Modeling the Dynamics of Online Learning Activity

People are increasingly relying on the Web and social media to find solutions to their problems in a wide range of domains. In this online setting, closely related problems often lead to the same characteristic learning pattern, in which people sharing these problems visit related pieces of information, perform almost identical queries or, more generally, take a series of similar actions. In this paper, we introduce a novel modeling framework for clustering continuous-time grouped streaming data, the hierarchical Dirichlet Hawkes process (HDHP), which allows us to automatically uncover a wide variety of learning patterns from detailed traces of learning activity. Our model allows for efficient inference, scaling to millions of actions taken by thousands of users. Experiments on real data gathered from Stack Overflow reveal that our framework can recover meaningful learning patterns in terms of both content and temporal dynamics, as well as accurately track users' interests and goals over time.
Frequent Itemset mining Models: Contemporary affirmation of the recent literature

Distinguishing the association rules in large databases is having high degree of presence in data mining. This paper is for the most part meant at taking into account of previous explorations, current operational standing and to conclude the gaps flanked by them with current identified information. The two problems identified regarding this context are: identifying all frequent item sets and to generate constraints from them. Here, first problem, as it obtains more processing time, is computationally expensive. As a result, many algorithms are projected to handle this problem. Current study focused on these algorithms and their related issues.
A New Analytical Procedure to Solve Two Phase Flow in Tubes

A new formulation for a proposed solution to the 3D Navier-Stokes Equations in cylindrical co-ordinates coupled to the continuity and level set convection equation is presented in terms of an additive solution of the three principle directions in the radial, azimuthal and z directions of flow and a connection between the level set function and composite velocity vector for the additive solution is shown. For the case of a vertical tube configuration with small inclination angle, results are obtained for the level set function defining the interface in both the radial and azimuthal directions. It is found that the curvature dependent part of the problem alone induces sinusoidal azimuthal interfacial waves whereas when the curvature together with the equation for the composite velocity is considered oscillating radial interfacial waves occur. The implications of two extremes indicate the importance of looking at the full equations including curvature.
Seeker-assisted information search in mobile clouds

The increase in the size of mobile cloud as well as the volume of information necessitates efficient search mechanisms for finding the searched information or the target node. In this paper, we focus on search mechanisms to retrieve information from within a mobile cloud in which nodes have intermittent connectivity and hence operate on a store-carry-forward manner. We design an opportunistic search scheme in which the searching node spreads a limited number of replicas of the query to the nodes it meets and these nodes, so called seekers, perform the search on behalf of the searching node. We assume that nodes are grouped into communities based on their interest profiles, and seekers use this community information to forward the data and the query to the right community - the community that is more likely to store the searched content. Since people store and search for similar information in the scope of their interest, the nodes in the same community as the searching node have higher probability to store the searched content. We model this seeker-assisted search scheme as a continuous time Markov process and analyze its performance under various inter-community/intra-community meeting rate, number of replicas, and network population. Our analysis shows that seeker-assisted search achieves a good balance between the search response time and search cost compared to the two extremes of epidemic search and direct delivery search.
Effect of Electrode Arrangements on EHD Conduction Pumping

An experimental investigation is conducted to develop an electrohydrodynamic (EHD) pump based on microelectromechanical systems technology. In EHD conduction pumping, Coulomb force is the main driving force for fluid motion. The nonequilibrium process of the dissociation and recombination of dielectric liquid, HFE-7100, produces heterocharge layers in the vicinity of the electrodes. The attraction between the heterocharge layers and electrode surfaces generates the net motion in the dielectric liquid by applying asymmetric electric fields. In order to generate the asymmetric electric fields, three electrode patterns were prepared. The working fluid was confined between two electrodes facing each other. The generated pressure was measured for the different asymmetric electric fields. Also, the effect of deviation between the upper and lower electrode patterns on the pressure was investigated. Finally, the liquid flow rate, power consumption, and pump efficiency were measured with an optimized electrode arrangement. It is clear from the experimental results that, in addition to the conduction pumping, the ion injection generated at the microelectrode edge increases the pressure.
STATIC QUARK-ANTIQUARK POTENTIAL IN QCD TO THREE LOOPS

The static potential between an infinitely heavy quark and antiquark is derived in the framework of perturbative QCD to three loops by performing a full calculation of the two-loop diagrams and using the renormalization group. The contribution of massless fermions is included. {copyright} {ital 1997} {ital The American Physical Society}