Miracle-dz/UniFAR-FTUs huggingface dataset:
Pyk2 and Src‐family protein‐tyrosine kinases compensate for the loss of FAK in fibronectin‐stimulated signaling events but Pyk2 does not fully function to enhance FAK− cell migration

The focal adhesion kinase (FAK) protein‐tyrosine kinase (PTK) links transmembrane integrin receptors to intracellular signaling pathways. We show that expression of the FAK‐related PTK, Pyk2, is elevated in fibroblasts isolated from murine fak−/− embryos (FAK−) compared with cells from fak+/+ embryos (FAK+). Pyk2 was localized to perinuclear regions in both FAK+ and FAK− cells. Pyk2 tyrosine phosphorylation was enhanced by fibronectin (FN) stimulation of FAK− but not FAK+ cells. Increased Pyk2 tyrosine phosphorylation paralleled the time‐course of Grb2 binding to Shc and activation of ERK2 in FAK− cells. Pyk2 in vitro autophosphorylation activity was not enhanced by FN plating of FAK− cells. However, Pyk2 associated with active Src‐family PTKs after FN but not poly‐L‐lysine replating of the FAK− cells. Overexpression of both wild‐type (WT) and kinase‐inactive (Ala457), but not the autophosphorylation site mutant (Phe402) Pyk2, enhanced endogenous FN‐stimulated c‐Src in vitro kinase activity in FAK− cells, but only WT Pyk2 overexpression enhanced FN‐stimulated activation of co‐transfected ERK2. Interestingly, Pyk2 overexpression only weakly augmented FAK− cell migration to FN whereas transient FAK expression promoted FAK− cell migration to FN efficiently compared with FAK+ cells. Significantly, repression of endogenous Src‐family PTK activity by p50csk overexpression inhibited FN‐stimulated cell spreading, Pyk2 tyrosine phosphorylation, Grb2 binding to Shc, and ERK2 activation in the FAK− but not in FAK+ cells. These studies show that Pyk2 and Src‐family PTKs combine to promote FN‐stimulated signaling events to ERK2 in the absence of FAK, but that these signaling events are not sufficient to overcome the FAK− cell migration defects.
Diferenças entre o desenvolvimento da morfologia derivacional e flexional no português brasileiro no ensino fundamental

Several studies have demonstrated that morphological awareness is related to reading and writing acquisition. However, there are different types of morphemes. The present study explores differences in derivational and flexional awareness development in Brazilian Portuguese. The sample in this study was constituted of 134 children from 1st to 4th grades of primary education who accomplished tasks which assessed their knowledge of derivational and flexional morphology. The results show that for all grades flexional morphology tasks were easier than derivational morphology ones. Performance improved from second to third grade but not from third to fourth grade. In general, results corroborate those already found in English and French languages.
Novel Matching Network and Its Application to Quad-Channel Diplexers

This letter reports a new kind of matching network for quad-channel diplexers. The matching network is comprised by some open- and short-circuited transmission lines, which can be chosen based on the design graph. The impact of loading resonators on the network is discussed. The diplexer can be easily realized by the combination of different bandpass filters without complicated tuning. To illustrate the concept, one quad-channel diplexer is designed, fabricated, and measured. Simulated and measured results are found to be in good agreement with each other.
Deficiency of cardiac beta-adrenergic receptor in streptozocin-induced diabetic rats.

The number of beta-adrenergic receptors in cardiac myocytes isolated from rats made diabetic with streptozocin (STZ) for 10 wk was measured by use of a hydrophilic nonselective antagonist [3H]CGP 12177 and was found to decrease to 59% of the number in control rats (P less than .05), without any change in affinity. Similarly, using [125I]iodocyanopindolol as a ligand, we found a decrease in the beta-adrenergic-receptor number on cardiac plasma membrane isolated from the diabetic rats [29% decrease (P less than .05) at 1 wk, 50% (P less than .01) at 3 wk, and 49% (P less than .01) at 10 wk compared with control rats]. However, the serum triiodothyronine level that had been known to modulate the beta-adrenergic-receptor-adenylate cyclase system was decreased in the 1-wk-diabetic rats but not in the 10-wk-diabetic rats compared with each control group. Furthermore, there was no difference in urinary catecholamine excretion between diabetic and control groups. In the 10-wk-diabetic rats, the response of adenylate cyclase to isoproterenol was significantly defective (56% decrease compared with control rats; P less than .05), although both the basal and the forskolin-stimulated maximum adenylate cyclase activities and a half-maximum concentration of isoproterenol for the stimulation of adenylate cyclase were similar in control and diabetic rats. On the other hand, both cholera toxin-dependent and islet-activating protein-dependent [32P]NAD incorporations into cardiac plasma membrane were markedly increased in the diabetic rats. (ABSTRACT TRUNCATED AT 250 WORDS)
Massive particles coupled with 2+1 dimensional gravity and noncommutative field theory

Recently, it has been shown that the effective field theory of the Ponzano-Regge model with which spinless massive particles are coupled is given by three dimensional Euclidean noncommutative scalar field theory in the Lie algebraic noncommutative space [x^i, x^j]=2i kappa epsilon^{ijk}x_k (i,j,k=1,2,3) with kappa=4 pi G, where G is a gravitational constant. We examine whether there exists the relation between spinless massive particles coupled with 2+1 dimensional Einstein gravity and the Lorentzian version of the noncommutative field theory. Then, we point out that the momentum space of the spinless massive particles in 2+1 dimensional Einstein gravity is generally different from that of the noncommutative field theory, which is given by SL(2,R)/Z_2 group space.
Automatic transcription of musical recordings

An automatic music transcription system is described which is applicable to the analysis of real-world musical recordings. Earlier presented algorithms are extended with two new methods. The first method suppresses the non-harmonic signal components caused by drums and percussive instruments by applying principles from RASTA spectrum processing. The second method estimates the number of concurrent voices by calculating certain acoustic features in the course of an iterative multipitch estimation system. Accompanying audio demonstrations are at http://www.cs. tut.fi/~klap/iiro/crac2001.
Packetized on-chip interconnect communication analysis for MPSoC

Interconnect networks play a critical role in shared memory multi-processor systems-on-chip (MPSoC) designs. MPSoC performance and power consumption are greatly affected by the packet dataflows that are transported on the network. In this paper, by introducing a packetized on-chip communication power model, we discuss the packetization impact on MPSoC performance and power consumption. Particularly, we propose a quantitative analysis method to evaluate the relationship between different design options (cache, memory, packetization scheme, etc.) at the architectural level. From the benchmark experiments, we show that optimal performance and power tradeoff can be achieved by the selection of appropriate packet sizes.
Automated Resource Management Framework for Adjusting Business Service Capability

The value of business service is depended on efficient resource management in meeting service level agreements (SLAs) with clients and other business objectives. Agreement based resource management in service environment enable service provider to know customer demand in advance and allocate the required resources for the service. However, traditional resource management scheduling systems for the service model have tended to be statically configured and to be non-adaptive at runtime, and have addressed coordination across resources in a limited fashion. In this paper we present a novel resource management framework in which resources can be flexible assigned to business process tasks in an efficient and adaptive way to adjust business service capability when service requirements change. The framework also uniformly accommodates an extensible set of resource types that may be both fine-grained and abstract. In addition, it is highly configurable and extensible in terms of pluggable strategies, and supports flexible runtime adaptation to fluctuating application demand and resource availability. It thus comprises a QoS driven and potentially autonomic resource management facility.
Parvalbumin immunoreactivity in the thalamus of guinea pig: Light and electron microscopic correlation with gamma‐aminobutyric acid immunoreactivity

The relationship of the calcium binding protein parvalbumin (PV) with gamma‐aminobutyric acidergic (GABAergic) neurons differs within different thalamic nuclei and animal species. In this study, the distribution of PV and GABA throughout the thalamus of the guinea pig was investigated at the light microscopic level by using immunoperoxidase methods. Intense PV labelling was found in all the GABAergic neurons of the reticular nucleus and in scattered GABAergic neurons in the anteroventral nucleus, whereas GABAergic interneurons in the ventrobasal and lateral geniculate nuclei were not PV labelled.
Recent US Patterns and Predictors of Prevalent Diabetes among Acute Myocardial Infarction Patients

Background. Diabetes mellitus (DM) confers high vascular risk and is a growing national epidemic. We assessed clinical characteristics and prevalence of diagnosed DM among patients hospitalized with acute myocardial infarction (AMI) in the US over the last decade. Methods. Data were obtained from all states within the US that contributed to the Nationwide Inpatient Sample. All patients admitted to hospitals between 1997 and 2006 with a primary discharge diagnosis of AMI were included. Time trends in the proportion of these patients with DM diagnosis were computed. Results. The portion of patients with comorbid diabetes among AMI hospitalizations increased substantially from 18% in 1997 to 30% in 2006 (P < .0001). Absolute numbers of AMI hospitalizations in the US decreased 8% (from 729, 412 to 672, 243), while absolute numbers of AMI hospitalizations with coexisting DM rose 51% ((131, 189 to 198, 044), both (P < .0001). Women with AMI were significantly more likely to have DM than similarly aged men, but these differences diminished with increasing age. Conclusion. Although overall hospitalizations for AMI in the US diminished over the last decade, prevalence of diabetes rose substantially. This may have important consequences for the future societal vascular disease burden.
Besides affecting intracellular calcium signaling, 2‐APB reversibly blocks gap junctional coupling in confluent monolayers, thereby allowing the measurement of single‐cell membrane currents in undissociated cells

2‐Aminoethoxydiphenyl borate (2‐APB) has been widely used as a blocker of the IP3 receptor and TRP channels, including store‐operated calcium channels. We now show in monolayers of normal rat kidney cells (NRK/49F) that 2‐APB completely and reversibly blocks gap junctional intercellular communication at concentrations similar to that required for inhibition of PGF2α‐induced increases in intracellular calcium. Gap junctional conductances between NRK cells were estimated with single‐electrode patch‐clamp measurements and were fully blocked by 2‐APB (50 µM), when applied extracellularly but not via the patch pipette. Half maximal inhibition (IC50) of electrical coupling in NRK cells was achieved at 5.7 µM. Similar results were obtained for human embryonic kidney epithelial cells (HEK293/tsA201) with an IC50 of 10.3 µM. Using 2‐APB as an electrical uncoupler of monolayer cells, we could thus measure inward rectifier potassium, L‐type calcium, and calcium‐dependent chloride membrane currents in confluent NRK monolayers, with properties similar to those in dissociated NRK cells in the absence of 2‐APB. The electrical uncoupling action described here is a new 2‐APB property that promises to provide a powerful pharmacological tool to study single‐cell properties in cultured confluent monolayers and intact tissues by electrical and chemical uncoupling of the cells without the need of prior dissociation.
Distributed Kernel Principal Component Analysis

Kernel Principal Component Analysis (KPCA) is a key technique in machine learning for extracting the nonlinear structure of data and pre-processing it for downstream learning algorithms. We study the distributed setting in which there are multiple workers, each holding a set of points, who wish to compute the principal components of the union of their pointsets. Our main result is a communication efficient algorithm that takes as input arbitrary data points and computes a set of global principal components, that give relative-error approximation for polynomial kernels, or give relative-error approximation with an arbitrarily small additive error for a wide family of kernels including Gaussian kernels. While recent work shows how to do PCA in a distributed setting, the kernel setting is significantly more challenging. Although the "kernel trick" is useful for efficient computation, it is unclear how to use it to reduce communication. The main problem with previous work is that it achieves communication proportional to the dimension of the data points, which would be proportional to the dimension of the feature space, or to the number of examples, both of which could be very large. We instead first select a small subset of points whose span contains a good approximation (the column subset selection problem, CSS), and then use sketching for low rank approximation to achieve our result. The column subset selection is done using a careful combination of oblivious subspace embeddings for kernels, oblivious leverage score approximation, and adaptive sampling. These lead to nearly optimal communication bound for CSS, and also lead to nearly optimal communication for KPCA in the constant approximation region. Experiments on large scale real world datasets show the efficacy of our algorithm.
Toward Coding for Maximum Errors in Interactive Communication

We show that it is possible to encode any communication protocol between two parties so that the protocol succeeds even if a (1/4 - ϵ) fraction of all symbols transmitted by the parties are corrupted adversarially, at a cost of increasing the communication in the protocol by a multiplicative factor that depends only on ϵ, using an alphabet whose size depends only on ϵ. This improves on an earlier result of Schulman, who showed how to recover when the fraction of errors is bounded by 1/240. We also show how to simulate an arbitrary protocol with a protocol using the binary alphabet, a constant factor increase in communication, and tolerating a 1/8 - ϵ fraction of errors.
AWGN channel under time-varying amplitude constraints with causal information at the transmitter

We consider the classical AWGN channel where the channel input is constrained to an amplitude constraint that stochastically varies at each channel use, independent of the message. This is an abstraction of an energy harvesting transmitter where the code symbol energy at each channel use is determined by an exogenous energy arrival process and there is no battery for energy storage. At each channel use, an independent realization of the amplitude constraint process is observed by the transmitter causally. This scenario is a state-dependent channel with perfect causal state information at the transmitter. We derive the capacity of this channel using Shannon's coding scheme with causal state information. We prove that the code symbols must be selected from a finite set in the capacity achieving scheme, as in the case of Smith. We numerically study the binary on-off energy arrivals where the amplitude constraint is either zero or a non-zero constant.
Supporting Change Impact Analysis Using a Recommendation System: An Industrial Case Study in a Safety-Critical Context

Change Impact Analysis (CIA) during software evolution of safety-critical systems is a labor-intensive task. Several authors have proposed tool support for CIA, but very few tools were evaluated in industry. We present a case study on ImpRec, a recommendation System for Software Engineering (RSSE), tailored for CIA at a process automation company. ImpRec builds on assisted tracing, using information retrieval solutions and mining software repositories to recommend development artifacts, potentially impacted when resolving incoming issue reports. In contrast to the majority of tools for automated CIA, ImpRec explicitly targets development artifacts that are not source code. We evaluate ImpRec in a two-phase study. First, we measure the correctness of ImpRec’s recommendations by a simulation based on 12 years’ worth of issue reports in the company. Second, we assess the utility of working with ImpRec by deploying the RSSE in two development teams on different continents. The results suggest that ImpRec presents about 40 percent of the true impact among the top-10 recommendations. Furthermore, user log analysis indicates that ImpRec can support CIA in industry, and developers acknowledge the value of ImpRec in interviews. In conclusion, our findings show the potential of reusing traceability associated with developers’ past activities in an RSSE.
A search-based approach for dynamically re-packaging downloadable applications

Mechanisms such as Java Web Start enable on-the-fly downloading and execution of applications installed on remote servers, without the need for having them installed on the local machine. The rapid diffusion of mobile devices (e.g., Personal Device Assistants - PDAs) connected to the Internet make these applications appealing to mobile users. However, in many cases the available bandwidth is limited, and its excessive usage can even be a cost when wireless connections are paid on a Kbyte transfer basis. This paper proposes an approach based on Genetic Algorithms and an environment that, based on previous usage information of the application (i.e. scenarios), re-packages it with the objective of limiting amount of resources transmitted for using a set of application features. The paper reports an empirical study on the application of the proposed approach on three medium-sized Java applications.
The IGMARP Data Fusion Algorithm

The IGMARP Data Fusion Algorithm Andrew R. Runnalls University of Kent Computing Laboratory Technical Report 05-07 IGMARP (Iterative Gaussian Mixture Approximation of the Reduced-Dimension Posterior) is a data fusion algorithm for handling non-linear measurements, particularly ambiguous measurements (i.e. measurements for which the likelihood function may be multimodal), in conjunction with a linear or linearisable system model. It is particularly well suited to system models of high dimensionality, and applications where it is desired to interoperate with existing approaches using a Kalman Filter or multi-hypothesis Kalman Filter. The algorithm was developed under sponsorship from QinetiQ Ltd over the period 2001-5 as a means of integrating data from terrain-referenced navigation systems into a multiway integrated navigation solution also comprising an inertial navigation system (INS) and GPS. An example of a terrain-referenced navigation system is terrain-contour navigation (TCN), in which an air vehicle uses a radio altimeter or similar sensor to take measurements of the height above sea level of the terrain being overflown. The paper describes the mathematical foundations of the algorithm, and illustrates its application to an integrated TCN/INS system. Sec. 2 introduces the motivating application, TCN. Sec. 3 reviews the measurement update equations for the multi-hypothesis Kalman filter (MHKF), which represent an application of Bayes' Theorem to the case in which the prior distribution is a Gaussian mixture, and the likelihood function also has the form of a (slightly generalised) Gaussian mixture. Sec. 4 then discusses how the likelihood function can be computed for TCN, and gives the flavour of the resulting functions, which are by no means of a Gaussian mixture form; this motivates Sec. 5, which discusses how the MHKF approach can be adapted to handle more general likelihood functions, and introduces the key theorems on which the IGMARP method depends. Then Sec. 6 describes the algorithm itself, and Sec. 7 illustrates the results of applying the algorithm to TCN/INS flight data. Finally Sec. 8 discusses conclusions and possible further work.
Dissolved and particulate organic matter as possible food sources for eel leptocephali

The gut contents and ultrastructure of midgut mucosal cells were examined in the lepto-cephali of Conger myriaster. Detrital aggregates less than 20 pm in diameter and fecal pellets of zooplankton, which were collectively called 'particulate organic matter' (POM), were found in the gut of 78 "/o of leptocephali examined. These particulate materials were also present in over 90 % of the gut of C. japonicus and Muraenosox cinereus leptocephali which were collected in the same waters. The POM is thought to be a major food item of leptocephali. Gut pigment contents were low in C. rnyriaster, indicating no feeding on phytoplankton. Active seawater ingestion was ultrastructurally indicated in midgut mucosal epithelium, which suggested that dissolved organic matter (DOM) was another possible nutritive source. The stable nitrogen isotopic composition of C. myriaster leptocephali, a reliable indicator of trophic position in food webs, was at the lowest level, equal to that of POM. This result strongly supports our suggestion that POM and DOM are food sources for eel leptocephali.
Personality and Vocational Interests in High School Students

The present study deals with the personality and vocational interests of the high school students.Relationship between personality and vocational interests and the degree of agreement between vocational aspirations and vocational interests of the students were carried out in the current study. The differences with respect to demographical variables on personality and vocational interests were also explored.The main study was conducted on the sample of 596 students (319 male and 277 female students with a mean age of 15.73 years) belonging to 7 government schools.There were 303 students belonging to science group and 292 students belonging to Arts group.The different relationships between the personality and vocational interests were assessed through a series of statistical analysis of Correlation, Multiple regression analysis, t test and One Way Analysis of Variance.The Alpha reliabilities of main domains of NEO PI-R range from . 36 (Openness) to . 84 (Conscientiousness). The Alpha reliabilities for scales of Self Directed Search (SDS) range from . 53 to . 68 for Activities, . 55 to . 66 for Competencies, . 76 to . 81 for Occupations, and . 71 to . 80 for summary scales.The results established the psychometric properties of the instruments.A moderate relationship was found between FFM and Holland model.The study identified the vocational preferences of students with respect to demographical variables.The results revealed significant gender differences on personality and vocational interests.The study also determined the vocational aspirations of the students and found the degree of agreement between vocational aspirations and vocational interests for most preferred careers.The results revealed a moderate state of congruence for careers (doctor and teacher) and a state of incongruence for some careers (army, lawyer, and engineer). The findings of the study are also reinforced from the opinion of experts. Some pertinent areas were identified for future research.The present research contributed both for theory and practice.The findings may be valuable in the field of career counseling as well as for policy makers in the field of education.