Miracle-dz/UniFAR-FTUs huggingface dataset:
hat P-matrices in orbit spaces and invariant theory

In many physical problems or applications one has to study functions that are invariant under the action of a symmetry group G and this is best done in the orbit space of G if one knows the equations and inequalities defining the orbit space and its strata. It is reviewed how the -matrix is defined in terms of an integrity basis and how it can be used to determine the equations and inequalities defining the orbit space and its strata. It is shown that the -matrix is a useful tool of constructive invariant theory, in fact, when the integrity basis is only partially known, calculating the -matrix elements, one is able to determine the integrity basis completely.
Dual-Band Dielectric Rod Antenna for Satellite Communication System

In this paper, we have simulated the dielectric rod antenna by using CST microwave studio which is commercially available simulator based on finite integral technique for satellite communication system. We emphasize particularly, on the gain of the proposed antenna at two frequencies that is from 25GHz to 35 GHz. The radiation mechanism of the dielectric rod antenna is based on the discontinuity radiation concept in which the antenna is regarded as an array composed of two effective sources at the feed end and free end of the rod.
Ubiquitous WSN for Healthcare: Recent Advances and Future Prospects

Wireless sensor networks (WSNs) have witnessed rapid advancement in medical applications from real-time telemonitoring and computer-assisted rehabilitation to emergency response systems. In this paper, we present the state-of-the-art research from the ubiquity perspective, and discuss the insights as well as vision of future directions in WSN-based healthcare systems. First, we propose a novel tiered architecture that can be generally applied to WSN-based healthcare systems. Then, we analyze the IEEE 802 series standards in the access layer on their capabilities in setting up WSNs for healthcare. We also explore some of the up-to-date work in the application layer, mostly on the smartphone platforms. Furthermore, in order to develop and integrate effective ubiquitous sensing for healthcare (USH), we highlight four important design goals (i.e., proactiveness, transparency, awareness, and trustworthiness) that should be taken into account in future systems.
Performance Comparison between TCP Sack and TCP Vegas using NS-2 Simulator

In this paper, two TCP variants are compared in different scenario. Transmission Control Protocol (TCP) is a reliable, end-to-end transport protocol which is most widely used for data services and is very efficient for wired networks. It also performs well in wireless networks. It is the backbone protocol of most of the internet based applications. Our analysis is on performance of TCP variants. In this paper we carry out performance study of TCP Sack and TCP Vegas to be able to classify which variant of TCP performs better in various possible scenarios. This paper describes an NS-2 based simulation analysis. By varying different parameters and congestion control mechanism we will check its effect on Throughput.
An improve moving target tracking algorithm based on CBWH

Aiming at classic Mean Shift based on tracking algorithm can not track target when the speed changed, the paper proposed an improved algorithm based on corrected background weighted histogram(CBWH), the algorithm used two iterations on target, first time used mean shift to iterate and calculated the similarity coefficient, second iteration used twice the current frame center minus the previous frame center as the center and calculated the similarity coefficient, then comparing the two coefficients and choosing the bigger as the center to track the target. Based on different scenarios of the experiment show that the algorithm is compared with the original algorithm has better robustness and accuracy.
MATHESIS: An Intelligent Web-Based Algebra Tutoring School

This article describes an intelligent, integrated, web-based school for tutoring expansion and factoring of algebraic expressions. It provides full support for the management of the usual teaching tasks in a traditional school: Student and teacher registration, creation and management of classes and test papers, individualized assignment of exercises, intelligent step by step guidance in solving exercises, student interaction recording, skill mastery statistics and student assessment. The intelligence of the system lies in its Algebra Tutor, a model-tracing tutor developed within the MATHESIS project, that teaches a breadth of 16 top-level math skills algebraic operations: monomial multiplication, division and power, monomial-polynomial and polynomial-polynomial multiplication, parentheses elimination, collect like terms, identities square of sum and difference, product of sum by difference, cube of sum and difference, factoring common factor, term grouping, identities, quadratic form. These skills are further decomposed in simpler ones giving a deep domain expertise model of 104 primitive skills. The tutor has two novel features: a it exhibits intelligent task recognition by identifying all skills present in any expression through intelligent parsing, and b for each identified skill, the tutor traces all the sub-skills, a feature we call deep model tracing. Furthermore, based on these features, the tutor achieves broad knowledge monitoring by recording student performance for all skills present in any expression. Forty teachers who evaluated the system in a 3-hours workshop appreciated the fine-grained step-by-step guidance of the student, the equally fine grained student model created by the tutor and its ability to tutor any exercise that contains the aforementioned math skills. The system was also used in a real junior high school classroom with 20 students for three months. Evaluation of the students' performance in the domain of factoring gave positive learning results.
Temporal relationship between elevation of epstein-barr virus antibody titers and initial onset of neurological symptoms in multiple sclerosis.

CONTEXT Infection with Epstein-Barr virus (EBV) has been associated with an increased risk of multiple sclerosis (MS), but the temporal relationship remains unclear. OBJECTIVE To determine whether antibodies to EBV are elevated before the onset of MS. DESIGN, SETTING, AND PARTICIPANTS Nested case-control study conducted among more than 3 million US military personnel with blood samples collected between 1988 and 2000 and stored in the Department of Defense Serum Repository. Cases were identified as individuals granted temporary or permanent disability because of MS. For each case (n = 83), 2 controls matched by age, sex, race/ethnicity, and dates of blood sample collection were selected. Serial samples collected before the onset of symptoms were available for 69 matched case-control sets. MAIN OUTCOME MEASURES Antibodies including IgA against EBV viral capsid antigen (VCA), and IgG against VCA, nuclear antigens (EBNA complex, EBNA-1, and EBNA-2), diffuse and restricted early antigens, and cytomegalovirus. RESULTS The average time between blood collection and MS onset was 4 years (range, <1-11 years). The strongest predictors of MS were serum levels of IgG antibodies to EBNA complex or EBNA-1. Among individuals who developed MS, serum antibody titers to EBNA complex were similar to those of controls before the age of 20 years (geometric mean titers: cases = 245, controls = 265), but 2- to 3-fold higher at age 25 years and older (cases = 684, controls = 282; P<.001). The risk of MS increased with these antibody titers; the relative risk (RR) in persons with EBNA complex titers of at least 1280 compared with those with titers less than 80 was 9.4 (95% confidence interval [CI], 2.5-35.4; P for trend <.001). In longitudinal analyses, a 4-fold increase in anti-EBNA complex or anti-EBNA-1 titers during the follow-up was associated with a 3-fold increase in MS risk (EBNA complex: RR , 3.0; 95% CI, 1.3-6.5; EBNA-1: RR, 3.0; 95% CI, 1.2-7.3). No association was found between cytomegalovirus antibodies and MS. CONCLUSION These results suggest an age-dependent relationship between EBV infection and development of MS.
Evaluation of Energy Efficient Reactive Routing Protocols in QoS Enabled Routing for MANETS

mobile node has a finite and decreasing energy. When finding routes, energy aware routing increases the network lifetime. Energy saving mechanism is required for the efficient operation of the battery powered network. In general, all the neighboring nodes overhear transmission when a node is transmitting a packet. Overhearing is caused by receiving information that is not addressed to it. Energy consumed by overhearing nodes is same as that of receiving nodes. The main aim of this work is to develop an energy conserving mechanism to reduce energy expenditure due to overhearing. To minimize energy, number of overhearing nodes is randomly selected based on probability. This probability based overhearing is integrated with AODV routing protocol. This proposed approach is implemented in NS2 simulator. Simulation results are presented to demonstrate the performance metrics such as throughput, packet delivery ratio, end-end delay and energy consumption of the network.
Crime, Business Conduct and Investment Decisions: Enterprise Survey Evidence from 34 Countries in Europe and Asia

This paper investigates crime against enterprises, using a simple modelling framework and enterprise surveys conducted in 34 countries in Europe and Asia between 2002 and 2005. The empirical results show that crime has an especially large negative impact on micro enterprises that handle large cash balances. Enterprises with worse business conduct are also more likely to be targeted by crime. The perception of crime is shown to be associated with experience of street crime on the enterprise level and experience of organized crime on the country level. The paper also highlights the deterrent effect of crime on enterprise investment decisions.
New fundamental matrix estimation method using global optimization

The estimation of fundamental matrix is one of the most crucial steps in many computer vision applications such as 3D reconstruction, autocalibration and motion segmentation. In this paper, we give a new method for nonlinearly estimating the fundamental matrix from point correspondences using global optimization. We firstly parameterize the fundamental matrix in 7 unknowns in a way that the rank-two constraint is satisfied. Then, the fundamental matrix is estimated by globally minimize non-convex formulation in term of convex (linear matrix inequality) LMI relaxation and standard LMI techniques. In order to obtain robustness, we perform the computation in a RANSAC framework and consider nonlinear criteria minimizing meaningful geometric distances. The iterate process leads the estimation to a more accurate level. Experimental results show the effectiveness of the proposed method.
Galectin-1 is essential in tumor angiogenesis and is a target for antiangiogenesis therapy

We describe that galectin-1 (gal-1) is a receptor for the angiogenesis inhibitor anginex, and that the protein is crucial for tumor angiogenesis. gal-1 is overexpressed in endothelial cells of different human tumors. Expression knockdown in cultured endothelial cells inhibits cell proliferation and migration. The importance of gal-1 in angiogenesis is illustrated in the zebrafish model, where expression knockdown results in impaired vascular guidance and growth of dysfunctional vessels. The role of gal-1 in tumor angiogenesis is demonstrated in gal-1-null mice, in which tumor growth is markedly impaired because of insufficient tumor angiogenesis. Furthermore, tumor growth in gal-1-null mice no longer responds to antiangiogenesis treatment by anginex. Thus, gal-1 regulates tumor angiogenesis and is a target for angiostatic cancer therapy.
L'universalisation de la distribution de l'eau de Paris, 1830-1930

La courbe de croissance des abonnements au reseau d'eau potable a Paris est tout a fait typique de la courbe standard de developpement d'un reseau technique: apres une phase de demarrage lente, les logiques conjuguees de l'offre et de la demande conduisent a un effet d'avalanche, avant une troisieme phase de stabilisation correspondant a une quasi-universalisation du service (extrait).
Pre-Holiday Effect, Large Trades and Small Investor Behaviour

The purpose of this paper is to investigate the existence of a pre-holiday effect in the most important stocks of the Spanish Stock Exchange which are also traded in both the New York Stock Exchange and the Frankfurt Stock Exchange. Our results show high abnormal returns on the trading day prior to holidays. Several tests prove that the Spanish holiday effect is not due to market calendars in the USA or Germany. Also, we prove that the pre-holiday effect is not a manifestation of other calendar anomalies. The study of different liquidity measures suggests that the pre-holiday effect could be due to the reluctance of small investors to buy on pre-holidays, which produces an increase in the average size of bid orders. The results of this paper are of interest to the institutional investor since this anomaly could have been exploited in some individual stocks.
A three-step clustering algorithm over an evolving data stream

Distinguishing potential new cluster data from outliers is a main problem in mining new pattern from evolving data streams. Meanwhile, all the clustering algorithms inherited from CluStream framework are distribution-based learning which are realized via a sliding window, so this problem becomes more obvious. This paper proposes a three-step clustering algorithm, rDenStream, based on DenStream, which includes outlier retrospect learning. During rDenStream clustering, dropped micro-clusters are stored on outside memory temporarily, and when a new cluster is discovered, these micro-clusters are learned retrospectively to find formally inaccurately-discarded data, which will improve the accuracy of the new cluster. rDenStream has important meaning in applications which require high-accuracy clustering from evolving data. Considering the data stream feature in NIDS, this paper models the arriving time of new pattern data as non-homogeneous Poisson distribution. Experiments over standard data set show its advantage over other methods in the early phase of new pattern discovery.
Factors Associated with Bullying Behavior in Middle School Students

In this study, bullying was examined as a continuum of mild-to-extreme behaviors, and the potential correlates of bullying others were delineated. To improve identification and targeting of those youth at risk for bullying, demographic, behavioral, and psychosocial correlates were tested on a continuous measure of bullying behavior rated according to the number and frequency of behaviors. Among 558 middle school students surveyed in 1995, only 20% reported no bullying behavior. In multiple regression analysis, misconduct, anger, beliefs supportive of violence, confidence in using nonviolent strategies, and intentions to use nonviolent strategies were associated with levels of bullying behavior. Although boys reported more bullying behavior than did girls, gender was not a significant predictor in the multiple regression analysis. These study results were inconsistent with the perspective that early adolescents were either bullies or nonbullies and indicated the need for a comprehensive approach to preventing bullying behavior.
Knowledge spillovers and the equilibrium location of vertically linked industries: the return of the black hole

Using a generalised version of the Venables (1996) model, this paper explores the relative locations of two vertically linked sectors with knowledge spillovers. Analytical investigation shows that the dynamic properties of the Venables model are significantly affected by the presence of spillovers. In particular, the own-cost reduction effects at low transport costs can be so strong that runaway agglomeration phenomenon appears in a manner consistent with the “black hole” concept found in the literature. However, the assumption that because information decays over space means that these black hole dynamics are endogenous to the model and disappear when transport costs are high enough. Importantly, the location predictions obtained in simulations of the model are consistent with the empirical finding that industrials sector that benefit from spillovers are typically more agglomerated than sector that do not benefit from such spillovers.
Extraction of Domain-specific Opinion Words for Similar Domains

In this paper we consider a new approach for domain-specific opinion word extraction in Russian. We suppose that some domains have similar sentiment lexicons and utilize this fact to build an opinion word vocabulary for a group of domains. We train our model in movie domain and then utilize it to book and game domains. Obtained word list quality is comparable with quality of initial domain list.
Leaderless Formation Control using Dynamic Extension and Sliding Control

We present a design of a leaderless formation controller for networked vehicle systems, which uses concepts from sliding mode control and dynamic extension. A single gain varies the importance of the relative and absolute position terms, allowing for tight or loose formations. This approach is proven mesh stable. Applications include formation flying of Unmanned Air Vehicles as well as possible extensions to satellites or Autonomous Underwater Vehicles.
Physical and Cognitive Performance of the Least Shrew (Cryptotis parva) on a Calcium-Restricted Diet

Geological substrates and air pollution affect the availability of calcium to mammals in many habitats, including the Adirondack Mountain Region (Adirondacks) of the United States. Mammalian insectivores, such as shrews, may be particularly restricted in environments with low calcium. We examined the consequences of calcium restriction on the least shrew (Cryptotis parva) in the laboratory. We maintained one group of shrews (5 F, 5 M) on a mealworm diet with a calcium concentration comparable to beetle larvae collected in the Adirondacks (1.1 ± 0.3 mg/g) and another group (5 F, 3 M) on a mealworm diet with a calcium concentration almost 20 times higher (19.5 ± 5.1 mg/g). Animals were given no access to mineral sources of calcium, such as snail shell or bone. We measured running speed and performance in a complex maze over 10 weeks. Shrews on the high-calcium diet made fewer errors in the maze than shrews on the low-calcium diet (F1,14 = 12.8, p < 0.01). Females made fewer errors than males (F1,14 = 10.6, p < 0.01). Running speeds did not markedly vary between diet groups or sexes, though there was a trend toward faster running by shrews on the high calcium diet (p = 0.087). Shrews in calcium-poor habitats with low availability of mineral sources of calcium may have greater difficulty with cognitive tasks such as navigation and recovery of food hoards.
Uniqueness of the Gaussian Kernel for Scale-Space Filtering

Scale-space filtering constructs hierarchic symbolic signal descriptions by transforming the signal into a continuum of versions of the original signal convolved with a kernal containing a scale or bandwidth parameter. It is shown that the Gaussian probability density function is the only kernel in a broad class for which first-order maxima and minima, respectively, increase and decrease when the bandwidth of the filter is increased. The consequences of this result are explored when the signal¿or its image by a linear differential operator¿is analyzed in terms of zero-crossing contours of the transform in scale-space.
The unfriendly user: exploring social reactions to chatterbots

This paper presents a preliminary evaluation of Alice, a chatterbot designed in order to elicit anthropomorphic attributions and emotional reactions from those who chat to ‘her’. The analysis is based on both transcripts of the interaction and user comments collected in a focus group. Results suggest that the introduction of explicit anthropomorphism in HumanComputer Interaction (HCI) is a complex phenomenon, which could generate strong negative reactions from the part of the user. The finding also demonstrates the importance of placing the development of user interfaces within a social framework as the technology tends to establish relationships with users.
Modellingspace: interaction design and architecture of a collaborative modelling environment

This paper describes the architecture of the ModelllingSpace open problem-solving environment. ModellingSpace is a new learning environment supporting synchronous and asynchronous collaborative problem solving by students at a distance. We describe here the key design decisions of the ModellingSpace software and in particular issues related with support for students with heterogeneous sets of primitive entities, control of interaction and dialogue, representation of the entities and models in a format that permits exchange of primitive material, as well as architectural considerations of the distributed application relating to network bandwidth limitations. The paper provides also an outline of server-side tools designed for supporting a community of students, users of the ModellingSpace environment.
Regan Iseen/vine in Normal Human Sera

SUMMARY The Regan isoenzyme of alkaline phosphatase was demon strated in the sera of 50 normal healthy individuals by a very sensitive immunochemical test system. Several properties of the isoenzyme isolated from a pool of the normal sera were studied and were found to be identical to those of placenta! alkaline phosphatase. inactivated serum (65Â°, 10 min) is incubated with the polymerized antibody for 1 hr and subsequently centrifuged. The pellet containing the enzymatically active enzyme-anti body complex is immediately assayed for enzyme activity with 72 mM phenylphosphate as substrate. Control tubes contain ing 0.15 M NaCl instead of inactivated serum were carried out through the procedure to check on the spontaneous hydrolysis of phenylphosphate at alkaline pH values.
Directed Search, Coordination Failure, and Seller Profits: An Experimental Comparison of Posted Pricing with Single and Multiple Prices

We experimentally examine posted pricing and directed search. In one treatment, capacity-constrained sellers post fixed prices, which buyers observe before choosing whom to visit. In the other, firms post both “single-buyer” (applied when one buyer visits) and “multibuyer” (when multiple buyers visit) prices. We find, based on a 2 × 2 (two buyers and two sellers) market and a follow-up experiment with 3 and 2 × 3 markets, that multibuyer prices can be lower than single-buyer prices or prices in the one-price treatment. Also, allowing the multibuyer price does not affect seller profits and increases market frictions.
Molecular modeling of alkyl hydroxamates as a highly selective flotation collectors for oxidized copper mineral

Quantum chemical calculations have been employed to understand the nature of interaction between alkyl hydroxamates and oxidized copper ore. The Material Studio 6.0 program (Accelrys, USA) has been used to model the surface-reagent interaction. As presented in the following sections, trends predicted on the basis of theoretically computed interaction energies correlate quite well with our own experimental microflotation results as well as with those available in the published literature.