Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Transmission Scheduling in Symmetric Communication Models With Intermittent Connectivity

We consider a slotted system with N queues, and independent and identically distributed (i.i.d.) Bernoulli arrivals at each queue during each slot. Each queue is associated with a channel that changes between "on" and "off" states according to i.i. d. Bernoulli processes. We assume that the system has K identical transmitters ("servers"). Each server, during each slot, can transmit up to C packets from each queue associated with an "on" channel. We show that a policy that assigns the servers to the longest queues whose channel is "on" minimizes the total queue size, as well as a broad class of other performance criteria. We provide several extensions, as well as some qualitative results for the limiting case where N is very large. Finally, we consider a "fluid" model under which fractional packets can be served, and subject to a constraint that at most C packets can be served in total from all of the N queues. We show that when K=N, there is an optimal policy which serves the queues so that the resulting vector of queue lengths is "Most Balanced" (MB)
Evaluation of Effect of Oleuropein on Skin Wound Healing in Aged Male Balb/c Mice

Objective: Olive oil and olive leaf extract are used for treatment of skin diseases and wounds in Iran. The main component of olive leaf extract is Oleuropein. This research is focused on the effects of Oleuropein on skin wound healing in aged male Balb/c mice. Materials and Methods: In this experimental study, Oleuropein was provided by Razi Herbal Medicine Institute, Lorestan, Iran. Twenty four male Balb/c mice, 16 months of age, were divided equally into control and experimental groups. Under ether anesthesia, the hairs on the back of neck of all groups were shaved and a 1 cm long full-thickness incision was made. The incision was then left un-sutured. The experimental group received intradermal injections with a daily single dose of 50 mg/kg Oleuropein for a total period of 7 days. The control group received only distilled water. On days 3 and 7 after making the incision and injections, mice were sacrificed, and the skin around incision area was dissected and stained by hematoxylin and eosin (H&E) and Van Gieson’s methods for tissue analysis. In addition, western blot analysis was carried out to evaluate the level of vascular endothelial growth factor (VEGF) protein expression. The statistical analysis was performed using SPSS (SPSS Inc., Chicago, USA). The t test was applied to assess the significance of changes between control and experimental groups. Results: Oleuropein not only reduced cell infiltration in the wound site on days 3 and 7 post incision, but also a significant increase in collagen fiber deposition and more advanced re- epithelialization were observed (p<0.05) in the experimental group as compared to the control group. The difference of hair follicles was not significant between the two groups at the same period of time. Furthermore, western blot analysis showed an increased in VEGF protein level from samples collected on days 3 and 7 post-incision of experimental group as compared to the control group (p<0.05). Conclusion: These results suggest that Oleuropein accelerates skin wound healing in aged male Balb/c mice. These findings can be useful for clinical application of Oleuropein in expediting wound healing after surgery.
Implementing partition on vector computers

The partitioning of an array is the basic building block of many efficient sorting algorithms. Here we study three ways to implement partitioning on vector supercomputers. A data model is presented with which the performances of these algorithms are analyzed. Performance is also measured on one processor of a Cray X-MP. Speedups between four and seventeen have been obtained for large data sets for an implementation using only O(@) more storage space and comparisons than the original algorithm.
ON SUMS OF DISTINCT REPRESENTATIVES

Clearly (1) has an SDR provided that |Ai| > i for all i = 1, · · · , n, in particular an SDR of (1) exists if |A1| = · · · = |An| > n or 0 < |A1| < · · · < |An|. Let G be an additive abelian group and A1, · · · , An its subsets. We associate any SDR (2) of (1) with the sum ∑n i=1 ai and set (4) S({Ai}i=1) = S(A1, · · · , An) = {a1 + · · ·+ an : {ai}i=1 forms an SDR of {Ai}i=1} . Of course, S(A1, · · · , An) 6= ∅ if and only if (3) holds. A fascinating and challenging problem is to give a sharp lower bound for |S({Ai}i=1)| and determine when the bound can be reached. Let p be a prime. In 1964 P. Erdös and H. Heilbronn (cf. [EH] and [G]) conjectured that for each nonempty subset A of Zp = Z/pZ there are at least
A concept for isles of automation: Ubiquitous robot cell for flexible manufacturing

In this paper, we present a concept for short series production using industrial robots and advanced control systems. We call and define this system as ldquoisles of automationrdquo. The concept is beyond the current robot workcells by the properties of flexibility, reconfigurability, context awareness and programmability. In the concept, there are modules defined for programming, sensing, material handling and flow as well as communication. The overall architecture defines how these modules are working together. In this paper, we present these modules and illustrate the operation in the pilot case.
Transient Analysis of a Finite Length Line Embedded in a Dielectric Half-Space using a Simplified Reflection/Transmission Coefficient Approach

The paper deals with a transient analysis of a finite length wire embedded in a dielectric half-space and illuminated by the electromagnetic pulse (EMP) using a simplified reflection coefficient approach. A direct time domain formulation is based on the wire antenna theory and on the corresponding Hallen integral equation for half-space problems. The presence of a dielectric half-space is taken into account via the simplified reflection/transmission coefficient arising from the modified image theory. The Hallen equation is solved via the time-domain Galerkin-Bubnov scheme of the Indirect Boundary Element Method (GB-IBEM) and some illustrative numerical results are presented. The transient response obtained using the simplified reflection/transmission coefficient approach is compared to the results obtained via the Fresnel coefficients approach.
DUX4 expression in FSHD muscle cells: how could such a rare protein cause a myopathy?

Facioscapulohumeral muscular dystrophy (FSHD) is one of the most frequent hereditary muscle disorders. It is linked to contractions of the D4Z4 repeat array in 4q35. We have characterized the double homeobox 4 (DUX4) gene in D4Z4 and its mRNA transcribed from the distal D4Z4 unit to a polyadenylation signal in the flanking pLAM region. It encodes a transcription factor expressed in FSHD but not healthy muscle cells which initiates a gene deregulation cascade causing differentiation defects, muscle atrophy and oxidative stress. PITX1 was the first identified DUX4 target and encodes a transcription factor involved in muscle atrophy. DUX4 was found expressed in only 1/1000 FSHD myoblasts. We have now shown it was induced upon differentiation and detected in about 1/200 myotube nuclei. The DUX4 and PITX1 proteins presented staining gradients in consecutive myonuclei which suggested a diffusion as known for other muscle nuclear proteins. Both protein half‐lifes were regulated by the ubiquitin‐proteasome pathway. In addition, we could immunodetect the DUX4 protein in FSHD muscle extracts. As a model, we propose the DUX4 gene is stochastically activated in a small number of FSHD myonuclei. The resulting mRNAs are translated in the cytoplasm around an activated nucleus and the DUX4 proteins diffuse to adjacent nuclei where they activate target genes such as PITX1. The PITX1 protein can further diffuse to additional myonuclei and expand the transcriptional deregulation cascade initiated by DUX4. Together the diffusion and the deregulation cascade would explain how a rare protein could cause the muscle defects observed in FSHD.
Is Pakistani Equity Market Integrated to the Equity Markets of Group of Eight (G8) Countries? An Empirical Analysis of Karachi Stock Exchange

This study looks at the dynamic relationship between the Pakistani equity market and equity markets of Group of Eight countries (G8) which includes Canada, France, Germany, Italy, Japan, Russia, UK and USA by using weekly time series data starting from June 2004 to May 2009. Multivariate Co-integration approach by Johnson and Julius (1990) shows there exists no long-term relationship between the G8 and Pakistani equity market. Vector error correction (VECM) model suggests that 100% of the lag periods disequilibrium has been corrected in the current period. Pairwise Granger Causality test shows that there exist a unidirectional causality between the equity market of Pakistan and the markets of France, Germany, Italy, Japan and United Kingdom. Impulse response analysis and variance decomposition analysis reveal that most of the shocks in Pakistani equity market are due to its own innovation and behave like exogenous. However, the markets of France, Japan, Germany and United Kingdom are exerting a little pressure on Pakistani equity markets. Therefore, by investing in Karachi Stock Exchange (KSE) the fund manager of G8 countries especially Canada, Italy, Russia and USA is capable of getting the advantage of portfolio diversification.
Letter Sequence Labeling for Compound Splitting

For languages such as German where compounds occur frequently and are written as single tokens, a wide variety of NLP applications beneﬁts from recognizing and splitting compounds. As the traditional word frequency-based approach to compound splitting has several drawbacks, this paper introduces a letter sequence labeling approach, which can utilize rich word form features to build discriminative learning models that are optimized for splitting. Experiments show that the proposed method signiﬁcantly outperforms state-of-the-art compound splitters.
A New Framework to Automatically Select Noise Model for Rician Noise Estimation in MR Images

In this paper, we study a set of histogram and higher-order statistical (HOS) features for automatically identifying the presence of large background in the magnitude MR images. The robustness and discriminative power of each individual feature and combining feature sets are investigated using different MR images including brain, cardiac, breast, spine, stomach and noisy images corrupted by Rician noise with different standard deviations, σ ={5,10,15,20,25,30,35}. The performances of the identification approaches are evaluated in terms of sensitivity, specificity, and accuracy. Experimental results obtained on 2544 MR images show that an approach based on the kurtosis and histogram peak ratio (HPR) features outperforms significantly as compared to that of other approaches reported in this work. The proposed approach can be used for selection of distribution model (Rayleigh or Gaussian) for accurate estimation of Rician noise level in MR images having large or little background regions.
Combining maturity with agility: lessons learnt from a case study

Although both high maturity and agility appeared as different ways to address and overcome issues related to software development (including maximizing resources and minimizing risks), there has been a mixed understanding about the possibility for their co-existence within an organization. Outside of the dogmatic debate regarding their co-existence, however, voices have been raised recently that recognize that both approaches have their merits. This paper presents the results of a case study on the practices that a purely agile organization has put in place in order to profit from the opportunities that higher maturity can offer in respect to value creation for clients. Our conclusion is that both high maturity and agility contribute to customer satisfaction, high quality and waste reduction; and that complying with standards does not necessarily impose restriction on 'being agile'. Implication for practice is that companies and their clients can benefit from a development approach that embraces both maturity and agility. To achieve this goal, guidelines are needed that direct organizations towards adopting practices that are linked to higher maturity, as well as to agility.
Toward Doing Reconceptualist Work in K-12

Reconceptualist work in curriculum studies resides in an intellectual Patagonia —a distant provincial backwater too often forgotten in the tumultuous capital centers— and places its sole hope for curricular (and social) change on the faint messages it telegraphs from self-chosen margins. To any honest reconceptualist scholar in curriculum studies, the above statement is obvious, and therefore, requires no elaboration. As evidence of this statement, ask a teacher or administrator in K-12 education if they have ever heard of the area or its scholars.
α-Adducin dissociates from F-actin and spectrin during platelet activation

Aspectrin-based skeleton uniformly underlies and supports the plasma membrane of the resting platelet, but remodels and centralizes in the activated platelet. α-Adducin, a phosphoprotein that forms a ternary complex with F-actin and spectrin, is dephosphorylated and mostly bound to spectrin in the membrane skeleton of the resting platelet at sites where actin filaments attach to the ends of spectrin molecules. Platelets activated through protease-activated receptor 1, FcγRIIA, or by treatment with PMA phosphorylate adducin at Ser726. Phosphoadducin releases from the membrane skeleton concomitant with its dissociation from spectrin and actin. Inhibition of PKC blunts adducin phosphorylation and release from spectrin and actin, preventing the centralization of spectrin that normally follows cell activation. We conclude that adducin targets actin filament ends to spectrin to complete the assembly of the resting membrane skeleton. Dissociation of phosphoadducin releases spectrin from actin, facilitating centralization of spectrin, and leads to the exposure of barbed actin filament ends that may then participate in converting the resting platelet's disc shape into its active form.
A Salt and Pepper Noise Removal and Restoration Refinement Algorithm

Noise removal is an important task inside the image processing area. In this paper, an algorithm for reducing salt and pepper noise and improving the restoration quality through refinement is presented. This algorithm proposes a double screen. As a first step, the algorithm computes an estimation of the denoised image by using an adaptive median filter. Then, the Non-Local Means algorithm is used in order to have a better quality of reconstitution. Obtained results show that the implementation of this proposal gives considerable noise suppression, even with high noise densities, and it could prepare the image for other processes like image segmentation and object recognition.
Navigating an Evolutionary Fast Path to Exascale

The computing community is in the midst of a disruptive architectural change. The advent of manycore and heterogeneous computing nodes forces us to reconsider every aspect of the system software and application stack. To address this challenge there is a broad spectrum of approaches, which we roughly classify as either revolutionary or evolutionary. With the former, the entire code base is re-written, perhaps using a new programming language or execution model. The latter, which is the focus of this work, seeks a piecewise path of effective incremental change. The end effect of our approach will be revolutionary in that the control structure of the application will be markedly different in order to utilize single-instruction multiple-data/thread (SIMD/SIMT), manycore and heterogeneous nodes, but the physics code fragments will be remarkably similar. Our approach is guided by a set of mission driven applications and their proxies, focused on balancing performance potential with the realities of existing application code bases. Although the specifics of this process have not yet converged, we find that there are several important steps that developers of scientific and engineering application programs can take to prepare for making effective use of these challenging platforms. Aiding an evolutionary approach is the recognition that the performance potential of the architectures is, in a meaningful sense, an extension of existing capabilities: vectorization, threading, and a re-visiting of node interconnect capabilities. Therefore, as architectures, programming models, and programming mechanisms continue to evolve, the preparations described herein will provide significant performance benefits on existing and emerging architectures.
Contour completion algorithm quantitavely and qualitatively improves the performance of a recognition model (evidence against geon theory)

A recognition model which defines a measure of shape similarity on the direct output of multiscale and multiorientation Gabor filters does not manifest qualitative aspects of human object recognition of contour-deleted images in that: a) it recognizes recoverable and nonrecoverable contour-deleted images equally well whereas humans recognize recoverable images much better, b) it distinguishes complementary feature-deleted images whereas humans do not. Adding some of the known connectivity pattern of the primary visual cortex to the model in the form of extension fields (connections between collinear and curvilinear units) among filters increased the overall recognition performance of the model and: a) boosted the recognition rate of the recoverable images far more than the nonrecoverable ones, b) increased the similarity of complementary feature-deleted images, but not part-deleted ones, more closely corresponding to human psychophysical results. The results demonstrate that incorporating the functional equivalent of the Gestalt principles of good continuation, co-curvilinearity and proximity (in the form of extension fields) to a biologically inspired recognition model can largely account for psychophysical data on basic-level human object recognition. This also indicates that the recovery of part structure (geons) might not be a necessary step for recognizing objects.
The organization of memory. A parallel distributed processing perspective.

Parallel distributed processing (PDP) provides a contemporary framework for thinking about the nature and organization of perception, memory, language, and thought. In this talk I describe the overall framework briefly and discuss its implications of procedural, semantic, and episodic memory. According to the PDP approach, the processing of information takes place through the interaction of a large number of simple processing units organized into modules. Storage occurs through the modification of connection weights based on the system's response to its input, that provides an opportunity for incremental storage. I will describe how connection modification may give rise through the course of experience to procedural learning and to the formation of semantic memories, structured by their semantic content. I will argue that the discovery of semantic structure requires gradual learning, with repeated exposure to representative samples of the structure to be learned. I will then describe two neuropsychological implications of the PDP approach. First, I will consider the possible modular organization of semantic information in the brain. Then, I will examine the role of the hippocampus in learning and memory. In the first case, we will see how the PDP approach leads us to see how brain damage might produce apparent dissociations between categories, when in fact the underlying organization is not by category but by modality. In the second case, we will see that the PDP approach gives us a new way to understand why it is important that unique, arbitrary associations not be stored all at once in the same memory's systems used for semantic information. (ABSTRACT TRUNCATED AT 250 WORDS)
1 MONITORING THE PROCESS TEACHING / LEARNING THROUGH VIRTUAL LEARNING ENVIRONMENT Curitiba – PR-04 / 2010

The applications of Virtual Learning Environments on teaching learning situations are issues to be discus and evaluated in order to promote knowledge to an educational improvement by this tool. This is exposed on this article, EUREKA, PUCPR’s Virtual Learning Environment (VLE), on this offers several possibilities of interaction in support of teaching and learning. The expansion scenario of use of the EUREKA in PUCPR (an average of 20% per year) favorers research and investments in the area of sharing and visibility of actions taken by the student in this environment, allowing a clearer analysis of the educational attainment. This information, coming from the student's actions in the VLE, which requires an action to fulfill the data so that they can be returned by those involved in the process (students/teachers) and used for better educational activities. This action should allow a view of the process the student's knowledge and consequently generates responses to the teacher about the status of development on learning, favoring a focus on content and teaching simple and organized, inserting improvements on the educational process. The focus of this study is on how information and communication technology can realize improvement on the monitoring process of the student in the VLEs by those involved on the learning and teaching situation.
A Noval Security Mechanism for Image Authentication and Copyright Protection

Encryption and watermarking are two primary and complementary technologies for protecting multimedia content. In this paper, we present a hybrid image protection scheme to establish a robust content-based authentication by using novel cryptosystem based on matrix transformation for generation of encryption key and copyright protection by using SVD based watermarking system. This paper suggests efficient method for encryption of image by self-invertible matrix with Hill Cipher algorithm. The Hill cipher algorithm is a symmetric cryptosystem for data encryption but cannot encrypt images. The novel cryptosystem uses randomly generated self-invertible matrix as an encryption key for each block encryption of an image and finding inverse of the matrix while decryption. This method having less computational complexity, because the inverse of the matrix is not required for decryption. For watermarking, we use SVD concept to provide a removable watermarking scheme for content based watermarking. The proposed scheme modifies the embedding strategy of SVD scheme. The proposed scheme yields higher security with superior encryption and robust to common image processing distortions. Experimental results show the effectiveness of the proposed hybrid scheme.
Statistical Hausdorff dimension of labelled trees and quadrangulations

Exploiting a bijective correspondence between planar quadrangulations and so-called well labelled trees, we define a random ensemble of infinite surfaces, as a limit of uniformly distributed ensembles of quadrangulations of fixed finite volume. The limit random surface can be described in terms of a birth and death process and a sequence of multitype Galton Watson trees. As a consequence, we find that the volume of the ball of radius r around a marked point in the limit random surface is Θ(r), leading to statistical Hausdorff dimension 4 for this random ensemble of infinite surfaces.