Miracle-dz/UniFAR-FTUs huggingface dataset:
Phosphorylation of ASPP2 by RAS/MAPK Pathway Is Critical for Its Full Pro-Apoptotic Function

We reported recently that apoptosis-stimulating protein of p53 (ASPP) 2, an activator of p53, co-operates with oncogenic RAS to enhance the transcription and apoptotic function of p53. However, the detailed mechanism remains unknown. Here we show that ASPP2 is a novel substrate of mitogen-activated protein kinase (MAPK). Phosphorylation of ASPP2 by MAPK is required for RAS-induced increased binding to p53 and increased transactivation of pro-apoptotic genes. In contrast, an ASPP2 phosphorylation mutant exhibits reduced p53 binding and fails to enhance transactivation and apoptosis. Thus phosphorylation of ASPP2 by RAS/MAPK pathway provides a novel link between RAS and p53 in regulating apoptosis.
Managing surrogate objectives to optimize a helicopter rotor design - Further experiments

It is common engineering practice to use response surface approximations as surrogates for an expensive objective function in engineering design. The rationale is to reduce the number of detailed, costly analyses required during optimization. In earlier work, we developed a rigorous and eeective scheme for managing the interplay between the use of surrogates in the optimization and scheduled progress checks with the expensive analysis so that the process converges to a solution of the original design problem. In this paper, we will report our latest numerical tests with a helicopter rotor design problem which has proved to be a fruitful laboratory for experimentation. The results given here support the use of an ANOVA decomposition on a DACE model to identify the most important optimization variables in an optimal design problem. Introduction The use of optimization tools with computer simulations to drive engineering design underpins MDO. However, there still are many important problems for which existing methods are either unreliable ad hoc procedures or impractical. Legacy simulation codes that fail on some plausible inputs and run slowly on the rest are far from the clean, innnitely diier-entiable functions for which optimization specialists design and analyze powerful algorithms. A research collaboration, involving Boeing Applied Research & Technology and Rice University, has developed methods that interpose a computationally clean surrogate function between the optimizer and the simulation, to provide a reasonably accurate model of the true simulation and a function that the optimizer can evaluate quickly. The resulting methods have led to new theories and better practical solutions. We present numerical results here for two versions of one of the target problems for our collaboration, the design of a lower vibration helicopter rotor blade.
Dynamic Nonlinearity in Large-Scale Dynamos with Shear

We supplement the mean field dynamo growth equation with the total magnetic helicity evolution equation. This provides an explicitly time-dependent model for α-quenching in dynamo theory. For dynamos without shear, this approach accounts for the observed large-scale field growth and saturation in numerical simulations. After a significant kinematic phase, the dynamo is resistively quenched, i.e., the saturation time depends on the microscopic resistivity. This is independent of whether or not the turbulent diffusivity is resistively quenched. We find that the approach is also successful for dynamos that include shear and exhibit migratory waves (cycles). In this case, however, whether or not the cycle period remains of the order of the dynamical timescale at large magnetic Reynolds numbers does depend on how the turbulent magnetic diffusivity quenches. Since this is unconstrained by magnetic helicity conservation, the diffusivity is currently an input parameter. Comparison with current numerical experiments suggests a turbulent diffusivity that depends only weakly on the magnetic Reynolds number, but higher resolution simulations are needed.
Surface interpolation with radial basis functions for medical imaging

Radial basis functions are presented as a practical solution to the problem of interpolating incomplete surfaces derived from three-dimensional (3-D) medical graphics. The specific application considered is the design of cranial implants for the repair of defects, usually holes, in the skull. Radial basis functions impose few restrictions on the geometry of the interpolation centers and are suited to problems where the Interpolation centers do not form a regular grid. However, their high computational requirements have previously limited their use to problems where the number of interpolation centers is small (<300). Recently developed fast evaluation techniques have overcome these limitations and made radial basis interpolation a practical approach for larger data sets. In this paper radial basis functions are fitted to depth-maps of the skull's surface, obtained from X-ray computed tomography (CT) data using ray-tracing techniques. They are used to smoothly interpolate the surface of the skull across defect regions. The resulting mathematical description of the skull's surface can be evaluated at any desired resolution to be rendered on a graphics workstation or to generate instructions for operating a computer numerically controlled (CNC) mill.
A framework for the description, discovery and composition of RESTful semantic web services

Development of a semantic web is gaining a lot of traction recently. At the same time, another change is also getting a lot popular on the web - a move from complex SOAP based web services to the simpler RESTful services that work over the existing HTTP infrastructure. Various techniques had been proposed to add semantics to RESTful services. But most of these solutions suffer from the fact that they are either extensions of solutions applicable for SOAP based services or they require external description files which leaves developers with one more artifact to develop and maintain. One of the the objectives of this paper is to define a standard Microformats like syntax that helps to annotate semantics into the already existing documentation of these services doubling them as a machine-readable description. Further, the paper extends these basic annotations to link between related services and enable automatic discovery and composition. Syntax for discovering resources as users browse a website is also proposed and a proof-of-concept extension is developed for the Google Chrome browser.
A Core Inflation Indicator for the Euro Area

This paper proposes a new core inflation indicator for the euro area, obtained by 'cleaning' monthly price changes from short-run volatility, idiosyncratic, and measurement errors. We use a factor model to "project" monthly inflation on a large panel of time series. Exploiting multivariate information we obtain a satisfactory degree of smoothing without using backward looking moving averages, which induce a time delay in the signal. The indicator forecasts inflation and is a useful tool for policy makers. It outperforms other commonly used predictors at 6 months and longer horizons. It tracks past policy interventions of the ECB.
Gender Differences in Social Support for Socially Anxious Individuals

Given that social anxiety disorder is a common, chronic, debilitating disorder and socially anxious women appear to have different experiences related to social development and social support than men, it is essential that the gender differences in social anxiety and social support be understood. The present study examined perceived social support quantity and satisfaction in 23 women and 28 men seeking treatment for social anxiety disorder. Contrary to expectations, men and women did not differ on measures of social support. However, younger, unmarried women reported having smaller social support networks and less satisfaction with their social support networks than older, married women. Analyses of socially anxious men did not reveal such a pattern. The current study provides preliminary evidence that younger, single women have social support networks that are less satisfying than the social support networks of older, married women. Inclusion of social support modules within a cognitive behavioral treatment approach for social anxiety disorder may be warranted, particularly for young, unmarried women.
Line-of-Sight MIMO Transmission for Achieving High Capacity Fixed Point Microwave Radio Systems

Despite the lack of rich scattering which is necessary for MIMO systems in mobile environments, this paper proposes line-of-sight MIMO systems with the highest MIMO capacity in some tens of GHz microwave radios. The proposed scheme constructs spatially orthogonal MIMO channels by using geometric arrangement of antennas and can use individual local oscillator signals without feedback signals for a transmit matrix. It can also compensate for the fluctuation of the carrier phase caused by the geometric small shift of the antenna position.
Functional quasi‐likelihood regression models with smooth random effects

Summary. We propose a class of semiparametric functional regression models to describe the influence of vector‐valued covariates on a sample of response curves. Each observed curve is viewed as the realization of a random process, composed of an overall mean function and random components. The finite dimensional covariates influence the random components of the eigenfunction expansion through single‐index models that include unknown smooth link and variance functions. The parametric components of the single‐index models are estimated via quasi‐score estimating equations with link and variance functions being estimated nonparametrically. We obtain several basic asymptotic results. The functional regression models proposed are illustrated with the analysis of a data set consisting of egg laying curves for 1000 female Mediterranean fruit‐flies (medflies).
Eradication of cervical cancer in Latin America.

Cervical cancer remains within the three most common cancer in women worldwide and is still the commonest female cancer in 41 of 184 countries. Within Latin America, cervical ranks as the most common cancer among women in Bolivia and Peru and the second most frequent in Brazil, Colombia, Ecuador, Mexico, Paraguay, The Guyanas, Surinam and Venezuela. Due to its relatively early age at onset, it ranks among the three most frequent cancers in women aged below 45 years in 82% of all countries in the world irrespective of their screening practices. DOI: http://dx.doi. org/10.21149/spm.v58i2. 7777
Gbit/s lossless data compression hardware

This paper presents the X-MatchPRO high-speed lossless data compression algorithm and its hardware implementation, which enables data independent throughputs of 1.6 Gbit/s compression and decompression using contemporary low-cost reprogrammable field-programmable gate array technology. A full-duplex implementation is presented that allows a combined compression and decompression performance of 3.2 Gbit/s. The features of the compression algorithm and architecture that have enabled the high throughputs are described in detail. A comparison between this device and other commercially available data compressors is made in terms of technology, compression ratio, and throughput. X-MatchPRO is a fully synchronous design proven in silicon specially targeted to improve the performance of Gbit/s storage and communication applications.
Evolving heterochrony for cellular differentiation using vector field embryogeny

Heterochrony is the evolutionary change of rates and timing of developmental processes. Many artificial evolutionary development systems have the ability to produce heterochrony implicitly. However, few systems have the ability to employ heterochronic change as direct evolutionary means, i.e. to directly change heterochronic features of the developmental program. In this paper, we present and investigate a system that can directly modify heterochronic features of its basic dynamics. We show how heterochrony can be included in a novel developmental framework called vector field embryogeny, and investigate the benefit of direct evolution of heterochronic change for four different cellular differentiation tasks.
Les chemins de l'intégration régionale - Les économies en développement au regard des théories de la régionalisation

On observe un renouveau du regionalisme de jure et de la regionali sationde facto dans les economies en developpement. Les relations Nord/Sud et les accords de libre-echange prennent de plus en plus d'importance. L'espace regional devient une des echelles de regulation de l'economie mondiale. Cet article met les economies en developpement a l'epreuve des differentes theories de l'integration regionale. Aux concept ionsa nciennes de l'integration par l'Etat versus l'integration par le marche tendent a se substituer de nouveaux debats autour de la dimen siong eographique de l'integration, des processus de convergence et de divergence, et des questions institutionnelles et politiques.
Cognitive radio based on Cooperative spectrum sharing with imperfect CSI

Cognitive radio is an emerging technology that aims for efficient spectrum usage. Cognitive radios have been proposed as a solution to the spectrum underutilization problem and have been proven to increase spectrum efficiency . However, in this we are analyzing the performance of the cognitive radio based on cooperative spectrum sharing. Here we propose a two- phase spectrum sharing protocol which supports relaying functionality, it take the advantage of situation when primary system is fails to achieve its target rate due to weak channel situations the secondary system allocates some of its transmitters for helping the primary system to achieve its target rate by acting as decode -and-forward relay . As a reward the secondary system gains spectrum access by using remaining transmitters to transmit its own signal. Analytic and simulation results confirm the efficiency of the proposed spectrum sharing protocol. We show that the both primary and secondary are able to achieve better outage performance with increasing the secondary transmitters. And also it is shown that primary user's interference probability is always equal to 0.75 when CSI of interference links is imperfect. Under proposed spectrum sharing protocol, we analyse the performance of the primary and secondary systems and derive closed-form expressions for the outage probabilities. We show that the secondary system is capable to access the spectrum band without reducing the outage performance of the primary system and also it improves the outage performance of the primary system by designating an appropriate number of its transmitters as primary relays. We show that the number of secondary users increases the outage performances of the both primary and secondary systems increases. And it is shown that the primary system's interference probability is always equals to 0.75 when the channel state information of interference links is imperfect.
Specialty Competencies in Clinical Child and Adolescent Psychology

PART I Introduction to Clinical Child and Adolescent Practice in Professional Psychology Chapter 1. Clinical child and adolescent psychology: Specialty definitions and historical foundations Chapter 2. Conceptual and scientific foundations of clinical child and adolescent psychology PART II Functional Competency- Assessment Chapter 3. Clinical assessment of children, adolescents, and their families Chapter 4. Case formulation models with children, adolescents, and their families PART III Functional Competency- Intervention Chapter 5. Clinical child and adolescent intervention strategies PART IV Other Functional Competencies Chapter 6. Consultation in clinical child and adolescent psychology Chapter 7. Supervision and teaching PART V Foundational Competencies Chapter 8. Ethical issues when working with children and adolescents Chapter 9. Interpersonal and cultural competencies Chapter 10. Professional identification in clinical child and adolescent psychology APPENDICES A Collaborative Problem-Solving Worksheet B Case Formulation Summary Form for Children and Adolescents: Behavioral Version C Case Formulation Summary Form for Children and Adolescents: Cognitive-Behavioral Version References Key Terms Index About the Authors About the Series Editors
Population Monte Carlo Samplers for Rendering

We present novel samplers and algorithms for Monte Carlo ren dering. The adaptive image-plane sampler selects pixels for re finement according to a perceptually-weighted variance criter ia. The hemispheric integrals sampler learns an importance sampli ng function for computing common rendering integrals. Both algori thms, which are unbiased, are derived in the generic Population Mo te Carlo statistical framework, which works on a population of samples that is iterated through distributions that are modifie over time. Information found in one iteration can be used to guide subsequent iterations. Our results improve rendering efficien cy by a factor of between 2 to 5 over existing techniques. We also sho w how both samplers can be easily incorporated into a global re ndering system. CR Categories: I.3. 7 [Computer Graphics]: Three-Dimensional Graphics and Realism—Color, shading, shadowing, and textu r
Efficient Reversible Data Hiding Based on Multiple Histograms Modification

Prediction-error expansion (PEE) is the most successful reversible data hiding (RDH) technique, and existing PEE-based RDH methods are mainly based on the modification of one- or two-dimensional prediction-error histogram (PEH). The two-dimensional PEH-based methods perform generally better than those based on one-dimensional PEH; however, their performance is still unsatisfactory since the PEH modification manner is fixed and independent of image content. In this paper, we propose a new RDH method based on PEE for multiple histograms. Unlike the previous methods, we consider in this paper a sequence of histograms and devise a new embedding mechanism based on multiple histograms modification (MHM). A complexity measurement is computed for each pixel according to its context, and the pixels with a given complexity are collected together to generate a PEH. By varying the complexity to cover the whole image, a sequence of histograms can be generated. Then, two expansion bins are selected in each generated histogram and data embedding is realized based on MHM. Here, the expansion bins are adaptively selected considering the image content such that the embedding distortion is minimized. With such selected expansion bins, the proposed MHM-based RDH method works well. Experimental results show that the proposed method outperforms the conventional PEE and its miscellaneous extensions including both one- or two-dimensional PEH-based ones.
A Chandra Detection of Diffuse Hard X-Ray Emission Associated with the Lobes of the Radio Galaxy 3C 452

An 80 ks Chandra ACIS observation of the radio galaxy 3C 452 is reported. A diffuse X-ray emission associated with the lobes has been detected with high statistical significance, together with the X-ray nucleus of the host galaxy. The 0.5-5 keV ACIS spectrum of the diffuse emission is described by a two-component model, consisting of a soft thermal plasma emission from the host galaxy halo and a hard nonthermal power-law component. The hard component is ascribed to the inverse Comptonization of cosmic microwave background photons by the synchrotron-emitting electrons in the lobes, because its spectral energy index, 0.68 ± 0.28, is consistent with the radio synchrotron index, 0.78. These results reveal a significant electron dominance in the lobes. The electrons are inferred to have a relatively uniform distribution, while the magnetic field is compressed toward the lobe periphery.
Is logical omniscience problem there or not: a critical view

Logical omniscience is usually thought as a big problem faced by standard modal or epistemic logic study, or its application in areas like distributed artificial intelligence research. However, by arguing with the question how or under what senses it's raised as a problem, we find this problem is just declared unclearly, or even improperly. That is, in some sense, it's just a problem given by some scholars fundamental-confusedly and so invalidly. Hence, if there's some problem there, it must be some problem else, but definitely not that logical omniscience problem, because there are no proper grounds for us to declare this problem upon.
Interstitial hydrostatic pressure: a manual for students.

As educators, we are continually designing new methods and procedures to enhance learning. During this process, good ideas are frequently generated and tested, but the extent of such activities may not be adequate for a full manuscript. Nonetheless, the ideas may be quite beneficial in improving the teaching and learning of physiology. Illuminations is a column designed to facilitate the sharing of these ideas (illuminations). The format of the submissions is quite simple: a succinct description of about one or two double-spaced pages (less title and authorship) of something you have used for the classroom, teaching, laboratory, conference room, etc. You may include one or two simple figures or references. Submit ideas for inclusion in Illuminations directly to the Associate Editor in charge, Stephen DiCarlo (sdicarlo@med.wayne.edu).
Designing Efficient Codecs for Bus-Invert Berger Code for Fully Asymmetric Communication

Berger-invert code is a coding scheme proposed recently to protect communication channels against all asymmetric errors and to decrease power consumption. This brief proposes a modified encoding scheme of Berger-invert codes and a new design of encoding/decoding circuitry (a codec). Implementation results prove that the new approach reduces the codec area and power consumption, respectively, by up to 30% and 48% for a 32-bit bus and decreases the error rate by up to about 35% for a 6-bit bus.
MIXTURE MODEL ADAPTIVE NEURAL NETWORK FOR MINING GENE FUNCTIONAL PATTERNS FROM HETEROGENEOUS KNOWLEDGE DOMAINS

Gene Ontology (GO) annotation and gene expression proﬁling have been two major approaches for system-wide analysis of gene functions. Current high-throughput sequence alignment and microarray technologies produce large volumes of noisy data. In the literature, numerous clustering methods have been studied for discovery of gene functional grouping based on either approach. But there is a lack of algorithm that intelligently mines gene patterns across these two problem domains. This paper presents a mixture model associative artiﬁcial neural network that integrates these heterogeneous domain knowledge for discovery of genome-wide functional patterns. The algorithm inherits the theoretical foundation of Adaptive Resonance Associative Map (ARAM), with essential redeﬁnition of pattern similarity measures and learning functions. The algorithm’s e ﬃ cacy was evaluated on the Saccharomyces cerevisiae (yeast) genome. Our controlled experiments showed that association of these domain knowledge reduces analytical noises and produces a more meaningful functional grouping.