Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Parental Stress, Parent-child Interaction Quality, and Child Language Outcomes

MEGHAN D. NIX The Relationship Between Parental Stress, Parent-Child Interaction Quality, and Child Language Outcomes (Under the direction of SHANNON SELF-BROWN) Language skills developed in early childhood are important for literacy and communication in childhood as well as future adult literacy skills and health. Certain demographic characteristics and parent-child interaction skills have been identified through previous research as being influential in child language development. Parental stress has also been associated with child language outcomes. This study aims to explore whether parents’ interactive relational skills, measured by an observational method, are significantly related to children’s verbal outcome, while controlling for demographic variables and parental stress. Participants included mothers of children aged 4-6 who completed measures of parental interaction quality, parental stress, and demographic characteristics. Their children competed a language skill measure. Results indicated that even when controlling for demographic variables and parental stress, the relationship between parent-child interaction quality and child language outcomes remained significant. These findings suggest that increasing positive parent-child interaction skills may be beneficial for increasing children’s language
An Energy-Efficient Position Based Clustering Protocol for Wireless Sensor Network Using Round Robin Scheduling Technique

A wireless sensor networks consists of spatially distributed autonomous sensors nodes called motes. Clustering is an effective way for prolonging the lifetime of a wireless sensor network. Current clustering algorithms consumes much time in setup phase and they hardly consider the hot spot problem in wireless sensor network. The cluster heads are cooperatively carry data to forward to base station. The ability to perform task totally depends on the available residual energy at the node. We propose an efficient clustering algorithm with position based multihop approach to partition the network region into levels with increasing number of cluster heads at each level. The cluster head closer to base station have smaller in size because it forwards the data to base station using Round Robin Technique to make the network more efficient. The proposed protocol improves the performance in delay and energy consumption. The proposed approach is more scalable than the existing solution.
Ducted Fan UAV Modeling and Simulation in Preliminary Design

With the emerging need for unmanned aerial vehicle with the capability to hover, the ducted-fan UAV design is becoming a more acceptable design option over the conventional rotorcraft design. The unique flight characteristics of such vehicles necessitate a design environment that is able to model and simulate the flight dynamics of ducted fan vehicles accurately. AVID OAV is a design and modeling software tool for ducted fan vehicles that is capable of modeling the performance and flight dynamics during the conceptual and preliminary phases of vehicle design. It incorporates a multidisciplinary methodology that encompasses the prediction of vehicle aerodynamics, fan and stator performance, mass properties calculation and control surface performance. Mission-based optimization and trade studies operating on the vehicle model can be used to explore the design space. The ability to model and simulate the flight characteristics early in the preliminary design phase provides the opportunity for the designer to make fundamental design decisions early on in the vehicle development program while reducing the potential of unexpected flight behavior later on.
Stereo vision in blind navigation assistance

Visual impairment and blindness caused by infectious diseases has been greatly reduced, but increasing numbers of people are at risk of age-related visual impairment. Visual information is the basis for most navigational tasks, so visually impaired individuals are at disadvantage because appropriate information about the surrounding environment is not available. With the recent advances in inclusive technology it is possible to extend the support given to people with visual impairment during their mobility. In this context we propose a system, named SmartVision, whose global objective is to give blind users the ability to move around in unfamiliar environments, whether indoor or outdoor, through a user friendly interface. This paper is focused mainly in the development of the computer vision module of the SmartVision system.
Topic Model based Collaborative QoS Prediction

With the increasing development and growth of Web services on the World Wide Web, the demand of appropriate Web service selection approaches are unprecedentedly strong, and Quality-of-Service (QoS) based service computing is becoming an important issue of service-oriented computing. In most of previous works, the QoS values of services to users are all conceived to be known, however, lots of them are unknown in practice application. Recently, lots of literatures aiming at predicting such missing QoS values are published, they all consider the unknown QoS values prediction as a fundamental step for the QoS-based service computing. Looking through existing works, we discover that the online cold-start scenario, in which some new coming Web services haven't been involved even once, hasn't been considered carefu lly. In this paper, we utilize a collaborative framework by integrating matrix factorization with probabilistic topic model to predict QoS values. Spec ifically, the basic idea of the proposed approach is collaborative filtering via matrix factorization, while the cold-start problem is handled by employing probabilistic topic model based on WSDL (Web Service Description Language) documents. The experiment are based on two real-world datasets (one contains 100 users and 150 Web services, and the other contains 339 users and 2344 Web services), and the results demonstrate the prediction accuracy of the proposed approach.
On the Foundations of Final Semantics: Non-standard Sets, Metric Spaces, Partial Orders on the Foundations of Final Semantics: Non-standard Sets, Metric Spaces, Partial Orders

Canonical solutions of domain equations are shown to be nal coalgebras, not only in a category of non-standard sets (as already known), but also in categories of metric spaces and partial orders. Coalgebras are simple categorical structures generalizing the notion of post-xed point. They are also used here for giving a new comprehensive presentation of the (still) non-standard theory of non-well-founded sets (as non-standard sets are usually called). This paper is meant to provide a basis to a more general project aiming at a full exploitation of the nality of the domains in the semantics of programming languages | concurrent ones among them. Such a nal semantics enjoys uniformity and generality. For instance, semantic observational equivalences like bisimulation can be derived as instances of a singlècoalgebraic' deenition (introduced elsewhere), which is paramet-ric of the functor appearing in the domain equation. Some properties of this general form of equivalence are also studied in this paper.derzoek in Nederland within the context of the project \Non-well-founded sets and semantics of programming languages".
Adaptive Neuro-fuzzy Control of AMRU-5, a six-legged walking robot

Due to the complexity of walking robots which has in general a great number of degrees of freedom, cognitive modelling controller such as Fuzzy Logic, Neural Networks.seems to be reasonable in the design of adaptive control of such robot. Fuzzy Logic Controller is more used because it lets you describe desired system behaviour with simple “if-then” relations. But it has a major limitation because in many applications, the designer has to derive “if-then” rules manually by trial and error. On the other hand, Neural Networks perform function approximation of a system but we cannot interpret the solution obtained neither check if its solution is plausible. The two approaches are complementary. Combining them, Neural Networks will allow learning capability while Fuzzy-Logic will bring knowledge representation (Neuro-Fuzzy). In this paper, we show an original method to design an adaptive Neuro-Fuzzy controller which consists in five steps that are: the initial design of an ANFIS controller, the identification of the dynamic model of the leg joints, the estimation of the parameters of the dynamic model, the calculation of an ideal torque and the updating of the parameters of the controller and finally the design of the supervisory control.
Cellular and Molecular Life Sciences Review of Ets1 Structure, Function, and Roles in Immunity

animals. This suggests that the first Ets genes arose within very primitive multicellular animals, probably at least 600– 700 million years ago. As described below, the amino acid sequences in Ets1 that bind to DNA adopt a structure known as a winged helix-turn-helix motif. This motif itself is of even more ancient origin and is found in DNA binding proteins in both Eukaryotes and Prokaryotes [2]. Mouse and human Ets1 proteins are highly similar throughout their lengths and differ from each other in only 12 amino acids (out of a total of 440 in mouse and 441 in human) and some of those changes are conservative in nature (97 % amino acid identity, 99 % similarity) (Table 1). Even Ets1 proteins from distantly related species such as the mar-supial Monodelphis domestica (opossum) and the bird Gallus gallus (chicken) exhibit ~95 % amino acid sequence identity with mouse Ets1. Ets1 homologs from amphibians and fish exhibit ~80–90 % amino acid identity to mouse Ets1. The extensive conservation of the Ets1 proteins throughout their entire length is unusual. As shown in Table 1, several other well-studied and conserved transcription factors, including the closely related Ets2 protein, show significantly less conservation overall as compared to Ets1. However, it is interesting to note that Pax5, a crucial regulator of B cell differentiation, represents another transcription factor that is very highly conserved across the 300 million years that separates mouse and chicken. Even protein domains that are not normally well conserved in transcription factors, such as the transactivation domain, have extensive conservation in Ets1 proteins across a variety of species. Therefore, essentially the entire amino acid sequence of Ets1 is under selective pressure , indicating that it plays an essential non-redundant role in metazoan development and/or differentiation. Within the Ets gene family of mammals, Ets1 is most closely related to Ets2 (55 % overall amino acid identity, 70 % similarity) (Fig. 1a). These two proteins share similar domain Abstract The Ets1 transcription factor is a member of the Ets gene family and is highly conserved throughout evolution. Ets1 is known to regulate a number of important biological processes in normal cells and in tumors. In particular , Ets1 has been associated with regulation of immune cell function and with an aggressive behavior in tumors that express it at high levels. Here we review and summarize the general features of Ets1 and describe its roles in …
AGES AND METALLICITIES OF EARLY-TYPE VOID GALAXIES FROM LINE STRENGTH MEASUREMENTS

We present spectroscopic observations of 26 galaxies of type E and S0, based on their blue morphologies, located in voids by the study of Grogin & Geller in 1999. Measurements of redshift, velocity dispersion, and four Lick line indices, Mgb, Fe5270, Fe5335, and Hβ with their errors are given for all of these galaxies, along with Hβ, [O iii], Hα, and [N ii] emission line strengths for a subset of these objects. These sources are brighter than M* for low-density regions and tend to be bluer than their counterpart early-type objects in high-density regions. Using the models of Thomas et al., developed in 2003, gives metal abundances and ages with a median α enhancement, [α/Fe] = +0.13, and median metal abundance, [Z/H] = +0.22, values comparable to those found for E and S0 galaxies in clusters, but with a wider spread in [Z/H] toward low values. If the emission line subsample is interpreted as younger, the proportion of young objects is higher than for early types in higher-density regions. There is a significant incidence of sources in the sample with emission lines in their spectra (46% with Hβ and [O iii] and 69% with Hα or [N ii]) as well as shells and rings in their morphologies (19%). The diagnostic , diagram places 10 of 12 emission line galaxies in or near the star-forming and liner region and two among the Seyferts. The Hα fluxes indicate star-formation rates of 0.2–1.0 M☉ yr−1. The percentage of these early-type void galaxies undergoing star formation appears to be higher compared to their cluster counterparts and the range of ages wider.
Learning in Cournot Oligopoly - An Experiment

This experiment was designed to test various learning theories in the context of a Cournot oligopoly. We derive theoretical predictions for the learning theories and test these predictions by varying the information given to subjects. The results show that some subjects imitate successful behavior if they have the necessary information, and if they imitate, markets are more competitive. Other subjects follow a best reply process. On the aggregate level we find that more information about demand and cost conditions yields less competitive behavior, while more information about the quantities and profits of other firms yields more competitive behavior.
A Mathematical Approach to Order Book Modeling

We present a mathematical study of the order book as a multidimensional continuous- time Markov chain where the order flow is modeled by independent Poisson processes. Our aim is to bridge the gap between the microscopic description of price formation (agent- based modeling), and the Stochastic Differential Equations approach used classically to describe price evolution at macroscopic time scales. To do this, we rely on the theory of infinitesimal generators and Foster-Lyapunov stability criteria for Markov chains. We motivate our approach using an elementary example where the spread is kept constant ("perfect market making"). Then we compute the infinitesimal generator associated with the order book in a general setting, and link the price dynamics to the instantaneous state of the order book. In the last section, we prove that the order book is ergodic - in particular it has a stationary distribution - that it converges to its stationary state exponentially fast, and that the large-scale limit of the price process is a Brownian motion.
Using KADS to Build Agents for E-Commerce

In this paper, we present a knowledge engineering perspective on a number of types of activities associated with building e-commerce systems. Through the use an appropriate methodology, a principled approach to designing a multiple agent framework results. Our analysis makes use of KADS to provide a number of levels of task definition. The task related models are mapped onto the IBM Aglets framework. The work addresses the activities associated with client, server and mobile agents. The agents communicate to each other using a well-defined agent communication language. The use of multi-attribute decision making enables the client agents to sort information according to the needs of the user. We suggest that such frameworks will play an important role in the development of e-commerce as the data available from the Internet continues to expand, while the time available to filter and sort it becomes more critical.
FORAGING IN INTERNET-BASED SELLING : A SYSTEMS DESIGN VALUE ASSESSMENT FRAMEWORK

Information foraging theory provides a theoretical perspective for the study of different online consumer purchase behaviors that need to be understood to support a sound basis for the measurement of business value of the design of Web-based applications. In this chapter, we examine the extent to which online consumer purchases are effectively supported through systems design choices in Web-based applications through a series of five classical stages in consumer purchase decision-making. They include need arousal, information search, product evaluation, purchase decision, and post-purchase evaluation. We distinguish between different purchase behavior settings through a framework that identifies purchase decision-making contingencies in the context of three different consumer purchase scenarios: convenience goods, researched goods, and replenishment goods. The different types of purchase scenarios reflect distinctions in terms of the extent of consumer involvement in information processing and evaluation leading up to the purchase decision, and the frequency of repeat purchases. We then illustrate and evaluate the extent to which the framework offers insights into the evaluation of the efficacy of systems design for Internet-based selling with reference to a number of mini-cases for each of the three types of purchase scenarios. The primary means for assessing the efficacy of the Web-based support in a given setting is the extent to which the consumer is able to achieve high levels of return on information foraging. We also consider differences that may arise between information goods and physical goods, and the Internet-based selling of goods versus services, in general. The results of our analysis suggest a number of new design guidelines for software application development in this area, and provide an initial assessment of the extent to which information foraging theory can be leveraged as a means to understand the referents of systems value. _____________________________________________________________________________________
Geometric Design of Developable Composite Bézier Surfaces

AbstractThis paper studies geometric design of developable surfaces that consist of consecutive Bezier patches. It is shown that the number of degrees of freedom (DOF) for the surface design is independent of the degree of the surface. With a first boundary curve freely specified, (2m+3), (m+4), and five DOF’s are available for a second boundary curve of a developable surface containing m patches, when the surface is G0, G1, and G2, respectively. There remain five and (7−2m) DOF’s for C1 and C2 continuity. Four and three DOF’s are left for the patch design when the end ruling vanishes on one and both sides. Design examples are presented that fully utilize the corresponding DOF’s subject to various continuity conditions. This work provides the foundation for systematic implementation of a CAGD system for developable composite Bezier surfaces.
Nonlinear resonance in a three-terminal carbon nanotube resonator

The RF response of a three-terminal carbon nanotube resonator coupled to RF transmission lines is studied by means of perturbation theory and direct numerical integration. We find three distinct oscillatory regimes, including one regime capable of exhibiting very large hysteresis loops in the frequency response. Considering a purely capacitive transduction, we derive a set of algebraic equations which can be used to find the output power (S-parameters) for a device connected to transmission lines with characteristic impedance Z0.
The Use of Deep Brain Stimulation in Tourette Syndrome

Tourette syndrome (TS) is a childhood neurobehavioural disorder, characterised by the presence of motor and vocal tics, typically starting in childhood but persisting in around 20% of patients into adulthood. In those patients who do not respond to pharmacological or behavioural therapy, deep brain stimulation (DBS) may be a suitable option for potential symptom improvement. This manuscript attempts to summarise the outcomes of DBS at different targets, explore the possible mechanisms of action of DBS in TS, as well as the potential of adaptive DBS. There will also be a focus on the future challenges faced in designing optimized trials.
Tenascin-X: beyond the architectural function

Tenascin-X is the largest member of the tenascin (TN) family of evolutionary conserved extracellular matrix glycoproteins, which also comprises TN-C, TN-R and TN-W. Among this family, TN-X is the only member described so far to exert a crucial architectural function as evidenced by a connective tissue disorder (a recessive form of Ehlers-Danlos syndrome) resulting from a loss-of-function of this glycoprotein in humans and mice. However, TN-X is more than an architectural protein, as it displays features of a matricellular protein by modulating cell adhesion. However, the cellular functions associated with the anti-adhesive properties of TN-X have not yet been revealed. Recent findings indicate that TN-X is also an extracellular regulator of signaling pathways. Indeed, TN-X has been shown to regulate the bioavailability of the Transforming Growth Factor (TGF)-β and to modulate epithelial cell plasticity. The next challenges will be to unravel whether the signaling functions of TN-X are functionally linked to its matricellular properties.
Phase-locked internal model control-based research on brushless DC motor variable speed control system

According to internal model control and phase-locked loop principle, a new method of overshoot-free, high-accuracy variable speed control of brushless DC motor is proposed. Speed error integral and error signal of the speed controller are both detected by using the phase angle and frequency of the pulse signal of speed at the same time to ensure that the speed control system can lock arbitrary speed command easily in a controllable mode and achieve a high-accuracy variable speed control performance. The theoretical analysis and simulation results show that the proposed method can make the system get a good dynamic and static performance with a simple design and easy control .
Development and testing of a soil moisture inversion algorithm based on hydrological modeling and remote sensing through advanced filtering techniques

This paperreportson a laboratoryexperimentthatinvestigatesthe useof active microwave observationsto estimatevolumetric soil moisturecontent. Full polarimetric radarobservationswereperformedof a 2 m diameter cylindric containerfilled with a sandyloam soil. During successi ve wetting and drying cycles, different soil moistureprofiles were generatedand observed in situ by meansof TDR-probes. The radardataareanalyzed basedon the Integral EquationModel (IEM), that simulatesradarbackscatteringgiven known surfacecharacteristics,suchasmoisturecontentandroughness.This allowstheevaluationof thepredictivepowerof thesimulation model.Themodelis thenusedto invert soil moisture information from radarmeasurements. It is shown that it is possibleto retrieve undercertaincircumstances reliable soil moistureestimateswith similar accuracies asthe in situ measurements. Furtherdevelopmentsconcentrateon the couplingof this modelto a hydrological modelthroughaKalmanfilter.
Economic reforms and income convergence/divergence in regional India

This paper explores India’s recent economic reforms and associated state-level income convergence/divergence by applying stochastic and beta-convergence tests. Although approximately half the states were converging to the national average during the postbreak period, the evidence required to show that income convergence due to many poorer states not catching up with the rich ones is inadequate. Those poorer states need special attention before further liberalisation.
Towards the Graceful Tree Conjecture: A Survey

A graceful labelling of an undirected graph G with n edges is a one-to-one function from the set of vertices of G to the set {0, 1, 2, . , n} such that the induced edge labels are all distinct. An induced edge label is the absolute value of the difference between the two end-vertex labels. The Graceful Tree Conjecture states that all trees have a graceful labelling. In this survey we present known results towards proving the Graceful Tree Conjecture.