Miracle-dz/UniFAR-FTUs huggingface dataset:
Callous-Unemotional Traits and Anxiety in a Community Sample of 7-Year-Olds

In forensic samples of adults and adolescents, there is evidence to suggest that there may be distinct variants of psychopathy marked by the presence/absence of significant levels of anxiety. Callous-unemotional (CU) traits can be used to characterize children who share behavioural and neurocognitive features with adult psychopaths. The aims of this paper are to (a) investigate the genetic and environmental influences on CU traits with/without anxiety and (b) explore differences in terms of concurrent and early parenting and adjustment. Discrete groups were formed on the basis of scores in the top 10% of the sample on CU and anxiety scales at age 7. Estimates of group heritability were calculated using a Defries-Fulker (DF) extremes regression model. Follow back analyses of early parenting and adjustment were conducted using multivariate analyses of covariance. There was high group heritability for CU traits with/without anxiety. Children with both high CU and anxiety showed greater levels of adjustment problems than those with CU only at age 7. The two groups did not differ in parenting characteristics. In this general population sample, evidence did not support differences in etiology for the two groups high on CU traits differing in level of anxiety.
Capacity Optimization in Cognitive Radio Network through Power Control

Radio spectrum is limited like all natural resources, and is required to be used with improved spectral efficiency. One proposed solution is to allow unlicensed users to share underutilized licensed bands with its primary users (PU’s) without disturbing their communication. Cognitive Radio (CR) technology is the key enabling feature of this solution. CR technology enables the wireless nodes to share the available spectrum dynamically. Since each node in Cognitive Radio Network (CRN) is completely aware of its preferences and is capable of adapting its operation based on present environment, the resulting network would be highly dynamic. Each CR would try to access best available channel transmitting at maximum available power to achieve maximum transmission rates. In a nut shell, each CR would try to achieve the best for itself, creating potential interference with PU’s as well as other CR users with data rates plunging to minimum. To model, analyze and predict the behavior of CR nodes Game Theory is the most suitable tool since it urges CR users to cooperate in order to achieve better results. In this paper we have analyzed a two user CR Network sharing spectrum with PU's by controlling their transmit-power such that they can cooperate with other CR users and coexist with PU’s and their data rates can be optimized with minimum possible transmit-power. To model and analyze the given scenario a Potential Game model has been selected. The idea of applying Potential Game was originally presented in [1] that has been explained in this paper with detailed methodology and procedure. The simulation results show that the transmit-power of the CR users has converged to a steady-state and data rates have been maximized resulting in an optimized network capacity. Index Terms cognitive radio, game theory, potential games, Nash Equilibrium, power control, network capacity
Long-Term Depletion of Conventional Dendritic Cells Cannot Be Maintained in an Atherosclerotic Zbtb46-DTR Mouse Model

Background and aims Increased evidence suggests a pro-atherogenic role for conventional dendritic cells (cDC). However, due to the lack of an exclusive marker for cDC, their exact contribution to atherosclerosis remains elusive. Recently, a unique transcription factor was described for cDC, namely Zbtb46, enabling us to selectively target this cell type in mice. Methods Low-density lipoprotein receptor-deficient (Ldlr-/-) mice were transplanted with bone marrow from Zbtb46-diphtheria toxin receptor (DTR) transgenic mice following total body irradiation. Zbtb46-DTR→Ldlr-/- chimeras were fed a Western-type diet for 18 weeks while cDC were depleted by administering diphtheria toxin (DT). Results Although we confirmed efficient direct induction of cDC death in vitro and in vivo upon DT treatment of Zbtb46-DTR mice, advanced atherosclerotic plaque size and composition was not altered. Surprisingly, however, analysis of Zbtb46-DTR→Ldlr-/- chimeras showed that depletion of cDC was not sustained following 18 weeks of DT treatment. In contrast, high levels of anti-DT antibodies were detected. Conclusions Because of the observed generation of anti-DT antibodies and consequently the partial depletion of cDC, no clear decision can be taken on the role of cDC in atherosclerosis. Our results underline the unsuitability of Zbtb46-DTR→Ldlr-/- mice for studying the involvement of cDC in maintaining the disease process of atherosclerosis, as well as of other chronic inflammatory diseases.
Additional Challenges for CEMIS Due to Impacts Caused by Climate Change

The aim of this paper is to evaluate how CEMIS could be enhanced to cope with impacts caused by climate change. In our time, firms have to deal with the resulting challenges such as increasing complexity and dynamics of the environment. By developing cultural competences, firms will be empowered to handle these new challenges appropriately. CEMIS itself as a managerial tool has an excellent potential to increase organizational resilience against vulnerabilities due to impacts caused by climate change. CEMIS could provide climate change scenarios for different impacts in global and regional dimensions. Scenarios as alternative images of how the future might unfold are an appropriate tool to analyze how driving forces may influence future emission outcomes and to assess the associated uncertainties and risks. They assist in climate change analysis, including climate modeling and the assessment of impacts, adaptation and mitigation. Theoretical enlargements of the CEMIS concept will be discussed by resilience thinking, which is promising for CEMIS because of its turning away from the equilibrium assumption, its widespread comprehension of the environment and its influences, its assumption of flexibility and adaptiveness through the adaptive capacity. The discussion will be exemplified by firms from the food industry, which are highly vulnerable towards direct and also indirect impacts caused by climate change along certain supply chains. Changing qualities and quantities of resources, temporary shortage of resources or conflicts between energy and food can all have drastic effects on firms in the food industry. Supported by CEMIS as a critical information system, emerging conflicts due to changing societal and cultural processes can be recognized sensitively, reflected critically, and reconfigured creatively to the aim of sustainable strategic management. Based on the theory of social practice and DOI: 10.4018/978-1-61520-981-1.ch005
An initial implementation of testability analysis based on multi-signal flow graph model

This paper discusses the multi-signal flow graph model and the testability analysis method based on this model. The modeling process of the multi-signal model, the dependency matrix generation method of the failure-test and the details of the testability analysis are illustrated by use of several examples. The results got in the testability analysis are also validated. It is demonstrated that the testability analysis method based on multisignal model is easy to be implemented in computer-aided analysis, which helps to develop the testability analysis software tool in future.
Field Service Planning as an Enabler for Field Service Optimisation

In this paper, we present a solution developed at BT's Intelligent Systems Research Centre which addresses the issue of proactive service planning with the ultimate goal of aligning supply optimally to meet the anticipated demand. The planning process generates two plans; a capacity plan and a deployment plan. The capacity plan provides all relevant details in volume in terms of the anticipated demand and the available supply whereas the deployment plan is a finer-grained refinement of the capacity plan which specifies where resources should be deployed (geographical locations) and what resources should be used for (skill assignments). These plans are generated by efficiently matching a pool of available resources to a number of jobs that need to be done using an advanced search algorithm. Our optimisation approach incorporates a number of rules and parameters in order to satisfy variable sets of goals, for example to minimise cost, to maximise quality of service, or combinations of both
On the Two-User SISO-Gaussian and MIMO-Fading MAC with Finite Input Alphabets

Constellation Constrained (CC) capacity regions of two-user SISO Gaussian Multiple Access Channels (GMAC) are computed in this paper for several Non-Orthogonal and Orthogonal Multiple Access schemes (abbreviated as NO-MA and O-MA schemes respectively). For NO-MA schemes, a metric is proposed to compute the angle(s) of rotation between the input alphabets such that the CC capacity regions are maxima lly enlarged. Further, code pairs based on Trellis Coded Modula tion (TCM) are designed with (i) PSK alphabet pairs and (ii) PAM alphabet pairs such that any rate pair on the CC capacity region can be approached. Such a NO-MA scheme which employs capacity approaching trellis codes is referred to as Trelli s Coded Multiple Access (TCMA). Then, CC capacity regions of O-MA schemes such as Frequency Division Multiple Access (FDMA) and Time Division Multiple access (TDMA) are also computed and it is shown that, unlike the Gaussian alphabets case, the CC capacity regions with FDMA and TDMA are strictly contained inside the CC capacity regions with TCMA. Hence, for finite alphabets, a NO-MA scheme such as TCMA is better than FDMA and TDMA which makes NO-MA schemes worth pursuing in practice for two-user GMAC. Subsequently, the idea of introducing rotations between th e input alphabets is used to construct Space-Time Block Code (STBC) pairs for two-user Multiple-Input Single-Output (M ISO) fading MAC. The proposed STBCs are shown to have reduced Maximum Likelihood (ML) decoding complexity and Information-loslessness property. Finally, STBC pairs ar e proposed for two-user Multiple-Input Multiple-Output (MIMO) fading MAC such that the sphere decoding complexity is reduc ed.
Truancy Intervention Reduces Crime: Results from a Randomized Field Trial

Educational attainment is a fundamental cornerstone to success throughout the life-course. As a result, ensuring that young people remain in school and are not truant is critical. Although the importance of truancy as a risk factor for many adverse outcomes, including crime, has been well-documented, much less methodologically rigorous work has been undertaken to evaluate potentially promising prevention and intervention strategies. This paper uses a randomized field trial method to test how a partnership between police and schools targeting truancy impacts offending in a sample of high-risk truanting young people. We find that the truancy intervention reduces offending and we discuss the implications for practice and directions for future research.
Gravitational Evolution of the Large-Scale Probability Density Distribution: The Edgeworth and Gamma Expansions

The gravitational evolution of the cosmic one-point probability distribution function (PDF) has been estimated using an analytic approximation that combines gravitational perturbation theory with the Edgeworth expansion around a Gaussian PDF. Despite the remarkable success of the Edgeworth expansion in modeling the weakly nonlinear growth of fluctuations around the peak of the cosmic PDF, it fails to reproduce the expected behavior in the tails of the distribution. This expansion is also ill defined, since it predicts negative densities and negative probabilities for the cosmic fields. This is a natural consequence of using an expansion around the Gaussian distribution, which is not rigorously well defined when describing a positive variate such as the density field. Here we present an alternative to the Edgeworth series based on an expansion around the gamma PDF. The gamma expansion is designed to converge when the PDF exhibits exponential tails, which are predicted by perturbation theory in the weakly nonlinear regime, and are found in numerical simulations from Gaussian initial conditions. The proposed expansion is better suited to describing a real PDF, since it always yields positive densities and the PDF is effectively positive-definite. We compare the performance of the Edgeworth and the gamma expansions for a wide dynamic range, making use of cosmological N-body simulations and assessing their range of validity. In general, the gamma expansion provides an interesting and simple alternative to the Edgeworth series, and it should be useful for modeling non-Gaussian PDFs in other contexts, such as in the cosmic microwave background.
Concordance among gene-expression-based predictors for breast cancer.

BACKGROUND Gene-expression-profiling studies of primary breast tumors performed by different laboratories have resulted in the identification of a number of distinct prognostic profiles, or gene sets, with little overlap in terms of gene identity. METHODS To compare the predictions derived from these gene sets for individual samples, we obtained a single data set of 295 samples and applied five gene-expression-based models: intrinsic subtypes, 70-gene profile, wound response, recurrence score, and the two-gene ratio (for patients who had been treated with tamoxifen). RESULTS We found that most models had high rates of concordance in their outcome predictions for the individual samples. In particular, almost all tumors identified as having an intrinsic subtype of basal-like, HER2-positive and estrogen-receptor-negative, or luminal B (associated with a poor prognosis) were also classified as having a poor 70-gene profile, activated wound response, and high recurrence score. The 70-gene and recurrence-score models, which are beginning to be used in the clinical setting, showed 77 to 81 percent agreement in outcome classification. CONCLUSIONS Even though different gene sets were used for prognostication in patients with breast cancer, four of the five tested showed significant agreement in the outcome predictions for individual patients and are probably tracking a common set of biologic phenotypes.
Orthogonal Neighborhood Preserving Discriminant Projections for Face Recognition

Feature extraction is an important step for face recognition. The capability of feature extraction directly influences the performance of face recognition. Recently, some manifold learning algorithms have drawn much attention. Among them, neighborhood preserving projections is one of the most promising feature extraction techniques. Though NPP has been applied in many fields, it has limitations to solve recognition task. In this paper, a novel feature extraction method called orthogonal neighborhood preserving discriminant projections (ONPDP) is proposed. The aim of ONPDP is to preserve the within-class neighboring geometric relation by taking into account class label information, while maximizing the between- class distance. Two abilities of manifold learning and classification are combined into the properties of the proposed algorithm. In addition, ONPDP orthogonalizes the set of the projection transformation vectors of the face subspace by Gram- Schmidt orthogonalization and thus the stronger discriminating power can be obtained. Experiment results on FERET and ORL face databases demonstrate the effectiveness of the proposed method.
Limit cycles and their stability in a passive bipedal gait

It is well-known that a suitably designed unpowered mechanical biped robot can "walk" down an inclined plane with a steady gait. The characteristics of the gait (e.g., velocity, time period, step length) depend on the geometry and the inertial properties of the robot and the slope of the plane. A passive motion has the distinction of being "natural" and is likely to enjoy energy optimality. Investigation of such motions may potentially lead us to strategies useful for controlling active walking machines. In this paper we demonstrate that the nonlinear dynamics of a simple passive "compass gait" biped robot can exhibit periodic and stable limit cycle. Kinematically the robot is identical to a double pendulum (or its variations such as the Acrobot and the Pendubot). Simulation results also reveal the existence of a stable gait with unequal step lengths. We also present an active control scheme which enlarges the basin of attraction of the passive limit cycle.
A Causal Model anda Declarative ProgrammingLanguagefor Concurrent

This work presents an approach to the linguistic treatment of concurrent systems which has three main objectives: Declarativity: De nition of (1) a model whose elements are mathematical values each of which represents a system, or a run of a system, in a direct and intuitive way; (2) a syntax whose expressions are mapped into the model by a denotational semantics. Causality: Full modeling of the relevant computational phenomena, i.e., without losing parallelism (by interleaving) or interactions (by hiding of \internal" interactions). Programming: As opposed to speci cation. In particular, provision of an operational semantics that is concrete enough to serve as the basis for language implementation. A model based on re exive domains | not power domains | and a corresponding language incorporating typed lambda-calculus with recursion are introduced. Using the full power of functional programming, we can compositionally de ne so-called Concurrent Structures, which are (bidirectional, overlapping) interactions related by causal ordering and external choice. The language generalizes the object-oriented paradigm. The branching-time structure of its compositional semantics, resulting from choices and value-passing interactions and captured in the model by \continuations", can be resolved non-compositionally in a second step, by mapping such a structure to a set of pomsets (partially ordered multisets) | a process in the sense of Pratt. The pomsets resemble interaction diagrams and represent graphically the runs of a system. We also provide the language with an operational semantics which is equivalent to the denotational semantics and discuss as an example the well-known alternating-bit protocol. A comparison with other approaches to concurrency is given, in particular with process algebra, whose key features contrast precisely with our three objectives.
GOOSE over UDP transmission mechanism for real-time data fast transmission in distribution network

Distributed control can achieve good control performance with fast response speed, it will be the development trend of protection and control applications in distribution network. Real-time data fast transmission technology is a key supporting technology for distributed control. A transmission scheme (GOOSE over UDP) based on UDP(User Datagram Protocol) to transmit GOOSE real-time message is proposed. The real-time message is mapped to the UDP protocol of transport layer, and based on IP peer-to-peer communication network to achieve message transmission in WAN(Wide Area Netork), which can satisfy the requirements of real-time on message transmission. A real-time data transmission test system that could transmit GOOSE over UDP real-time data among LANs(Local Area Networks) was set up. Various factors that impact the real time performance of message transmission latency were tested. The maximum transmission latency between STUs measured was found to be less than 10ms, which is able to meet the requirements of distributed control applications in distribution network.
Reovirus-Mediated Cytotoxicity and Enhancement of Innate Immune Responses Against Acute Myeloid Leukemia

Abstract Reovirus is a naturally occurring oncolytic virus that has shown preclinical efficacy in the treatment of a wide range of tumor types and has now reached phase III testing in clinical trials. The anti-cancer activity of reovirus has been attributed to both its direct oncolytic activity and the enhancement of anti-tumor immune responses. In this study, we have investigated the direct effect of reovirus on acute myeloid leukemia (AML) cells and its potential to enhance innate immune responses against AML, including the testing of primary samples from patients. Reovirus was found to replicate in and kill AML cell lines, and to reduce cell viability in primary AML samples. The pro-inflammatory cytokine interferon alpha (IFNα) and the chemokine (C-C motif) ligand 5 (known as RANTES [regulated upon activation, normal T-cell expressed, and secreted]) were also secreted from AML cells in response to virus treatment. In addition, reovirus-mediated activation of natural killer (NK) cells, within the context of peripheral blood mononuclear cells, stimulated their anti-leukemia response, with increased NK degranulation and IFNγ production and enhanced killing of AML targets. These data suggest that reovirus has the potential as both a direct cytotoxic and an immunotherapeutic agent for the treatment of AML.
Factor Endowments and the Location of Industry in India

This paper explores the relationship between factor endowments and the location of industrial production, using a panel dataset on Indian in- dustries. The method developed allows us to consider dierences in tech- nology across states and time, in addition to the usual identical technology assumption. Use of within-country data avoids many of the problems as- sociated with cross-country data that is usually used in such studies. In addition, the factor endowments approach is tested against several alter- native hypotheses on the determinants of the location of production. We …nd that factor endowments and technology play important roles in ex- plaining the share of an industry. The factor endowments model is found to be superior to alternative explanations for share of industry, including economic development, government development expenditure, and mar- ket access. The liberalisation of the economy beginning in 1991 represents a clear structural break in the industrial sector.
Distributed Reasoning Services for Multiple Ontologies Distributed Reasoning Services for Multiple Ontologies

The main goal of this paper is to propose a distributed paradigm for reasoning with multiple ontologies connected by semantic mappings. The contribution of the paper to this goal is twofold. From the theoretical point of view we characterize the problem of global subsumption (i.e. the problem of subsumption in a set of local ontologies connected by semantic mappings) as a suitable fixpoint combination of operators that compute subsumptions in the local ontologies. This allows us to define a sound and complete algorithm for global subsumptions which calls black-boxes sub-routines for local subsumptions. The second contribution is the description of a prototype implementation of such algorithm in a peer-to-peer architecture.