Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation functions of complex matrix models

For a restricted class of potentials (harmonic+Gaussian potentials), we express the resolvent integral for the correlation functions of simple traces of powers of complex matrices of size N, in terms of a determinant. This determinant is a function of four kernels constructed from the orthogonal polynomials corresponding to the potential and from their Cauchy transform. The correlation functions are a sum of expressions attached to a set of fully packed oriented loop configurations. We apply this technique to rotational invariant systems. More specifically, in the case of the Gaussian potential, explicit expressions can be written for each configuration and their large N expansion ('t Hooft expansion) and their BMN limit can be calculated. On simple examples, we recover results already known in the literature.
Classification of Data Sequences by Similarity Analysis of Recurrence Plot Patterns

Quantification of the similarity between data sequences is important in different database and data mining tasks such as indexing, retrieving, clustering and classification, many similarity metrics (Euclidean, DTW, among others) operate directly in the raw representation of the sequences, but this implies when the sequences are compared, not take into account information about the collective behavior of the data that forms a sequence and the hidden relations between such data, such information can be important for classification of sequences based on their structures and their relations with the dynamics that such structures can represent (e.g. stationary, random, complex). We propose a computational technique for similarity analysis and classification of recurrence plot patterns: RecurrenceVs. The results show that the proposed technique is able to classify data sequences by similarity families based on the recurrence plot patterns, which preserve the information about the structure and dynamics represented by the data sequences.
Sucesión en la empresa familiar: Algunas claves del éxito

espanolLas empresas familiares suponen aproximadamente el 75% del tejido empresarial espanol,proporcionan mas de dos tercios del empleo privado, y su aportacion al PIB se situa en torno al 65%. La gran mayoria de los lideres de este tipo de organizacion desean que en el futuro la empresa siga estando bajo el control de la familia. La evidencia indica, sin embargo, que la probabilidad de cumplir este deseo es baja: la mayoria de las empresas familiares mueren cuando se traspasan a los hijos. Las estimaciones muestran que solo el 30% de las empresas familiares sobrevive en la transicion a la segunda generacion, y solo el 13% lo hace en la tercera generacion . La indiscutible importancia de las empresas familiares para nuestras economias, junto a su fragilidad y vulnerabilidad ante el traspaso intergeneracional, han motivado a los autores a plantearse cuales son los elementos que deben estar presentes en la sucesion de la empresa familiar para que esta sea exitosa y suponga una oportunidad mas para su crecimiento y desarrollo. Entre ellos cabe destacar la propension del lider a abandonar el poder, las relaciones entre los miembros de la familia, el traspaso efectivo del control y el desarrollo de la organizacion para la sucesion. EnglishFamily firms account for about 75% of the Spanish business fabric, provide more than twothirds of the private employment and their contribution to the GDP stands at around 65%. A large majority of these family firm leaders wish to have their businesses controlled by their families in the future. Evidence indicates, however, that probability of fulfilling the wish is low; most family businesses barely outlive the tenure of their founders. Estimates show that only 30% of the family firms survive the transition to the second generation, and only 13% make it to the third generation. The indisputable significance of family firms for our economy, together with their fragility and vulnerability regarding the inter-generational transfer have led the authors to consider the requirements which must be met in the process of succession of a family firm so that it is successful and implies a further opportunity to grow and evolve. Among these, it is noteworthy to highlight the leaning of the leaders to leave the power, the relationships among the members of the family, the effective transfer of the control and the evolution of the organization for the succession.
Smart choices for growth. Bruegel Policy Contribution 2012/21, November 2012

Recovery in Greece, Italy, Portugal and Spain is held back in part by structural barriers. Overcoming these requires structural reform and public investment. Given the limited availability of political and financial capital, prioritising reform efforts and spending is important, but difficult. The different success factors for individual sectors are complementary. Using the example of the high-tech industry, we make the case that only investing in one success factor (eg broadband infrastructure) without having a sufficient endowment of others (eg education) is unlikely to make the sector successful. One consequence of the complementarity of the different success factors is that public investment and reform efforts should be fine-tuned in order to match the endowment of other factors. This might imply an increase in efforts to tackle several structural barriers at the same time, but it might also imply reducing investment in less promising fields. This in turn requires strategic thinking about whether it is worthwhile pursuing development strategies that require investment in many success factors but that do not promise much success. Such a strategic approach to public investment and reform efforts might make the allocation of scarce public financial and political capital more efficient.
Management of venous thromboembolism in patients with cancer: role of dalteparin

Cancer is a major risk factor for the development of venous thromboembolism (VTE). Conventional anticoagulant therapy with a vitamin K antagonist is more problematic in cancer patients due to an increased risk of recurrent VTE, and an increased risk of anticoagulant-related bleeding. In recent years, there has been a shift toward treating cancer patients with VTE with extended duration dalteparin. Dalteparin, a low-molecular-weight heparin, has been shown to be more effective, and as safe as conventional anticoagulant therapy, in cancer patients with VTE. This paper will (a) review the relationship between cancer and VTE, and (b) provide an overview of the role of dalteparin in the management of VTE in patients with cancer.
Potential of C and X Band SAR for Shrub Growth Monitoring in Sub-Arctic Environments

The Arctic and sub-Arctic environments have seen a rapid growth of shrub vegetation at the expense of the Arctic tundra in recent decades. In order to develop better tools to assess and understand this phenomenon, the sensitivity of multi-polarized SAR backscattering at C and X band to shrub density and height is studied under various conditions. RADARSAT-2 and TerraSAR-X images were acquired from November 2011 to March 2012 over the Umiujaq community in northern Quebec (56.55°N, 76.55°W) and compared to in situ measurements of shrub vegetation density and height collected during the summer of 2009. The results show that σ0 is sensitive to changes in shrub coverage up to 20% and is sensitive to changes in shrub height up to around 1 m. The cross-polarized backscattering (σ0 HV ) displays the best sensitivity to both shrub height and density, and RADARSAT-2 is more sensitive to shrub height, as TerraSAR-X tends to saturate more rapidly with increasing volume scattering from the shrub branches. These results demonstrate that SAR data could provide essential information, not only on the spatial expansion of shrub vegetation, but also on its vertical growth, especially at early stages of colonization.
Echoic Sensory Substitution Information in a Single Obstacle Circumvention Task

Accurate motor control is required when walking around obstacles in order to avoid collisions. When vision is unavailable, sensory substitution can be used to improve locomotion through the environment. Tactile sensory substitution devices (SSDs) are electronic travel aids, some of which indicate the distance of an obstacle using the rate of vibration of a transducer on the skin. We investigated how accurately such an SSD guided navigation in an obstacle circumvention task. Using an SSD, 12 blindfolded participants navigated around a single flat 0.6 x 2 m obstacle. A 3-dimensional Vicon motion capture system was used to quantify various kinematic indices of human movement. Navigation performance under full vision was used as a baseline for comparison. The obstacle position was varied from trial to trial relative to the participant, being placed at two distances 25 cm to the left, right or directly ahead. Under SSD guidance, participants navigated without collision in 93% of trials. No collisions occurred under visual guidance. Buffer space (clearance between the obstacle and shoulder) was larger by a factor of 2.1 with SSD guidance than with visual guidance, movement times were longer by a factor of 9.4, and numbers of velocity corrections were larger by a factor of 5 (all p<0.05). Participants passed the obstacle on the side affording the most space in the majority of trials for both SSD and visual guidance conditions. The results are consistent with the idea that SSD information can be used to generate a protective envelope during locomotion in order to avoid collisions when navigating around obstacles, and to pass on the side of the obstacle affording the most space in the majority of trials.
Online community detection for fused social network graphs

Advances in fusion of disparate social media and hard-soft sources have made it possible to extract relational information in the form of social network graphs. Periodic measurements of communication between individuals in an area of interest can be modeled in the form of a random graph. In this paper we are interested in detecting the emergence of a social network community where a subset of individuals of the dynamic random graph abruptly exhibits higher levels of communication (specifically, more ties among the members). An Erdös-Rényi random graph model is adopted. We employ a sequential change detection framework and propose a stopping rule to identify the emergence of a community with minimal expected detection delay while the probability of false alarms goes to zero asymptotically. We prove the optimality of this change detection rule and we compute its operating characteristics. We corroborate our results with simulation experiments. The practical contribution of our research is for alerting the formation of a community or terrorist group, for example.
Extending School-to-College Programs to the Community College: Taking a Realistic View.

This report covers three support programs for at-risk high school students that include transfer to community colleges as a goal, in contrast to the majority of programs which stress preparation for entry into universities. The three programs included here are: (1) Vocational Plus; (2) Transfer Bound; and (3) Future Engineers. Vocational Plus begins service to students at the junior year in high school, providing them with academic, technical, and employment skills. Students enroll in community college courses and receive dual credit. Vocational Plus offers job shadowing opportunities, internships, and community college immigration with four-year university curriculum. Transfer Bound is a program within a larger network of programs called College Network. Transfer Bound is composed of two subgroups: (1) Scholarships and their Aftermath; and (2) the Mentorship Program. Students in the programs are eligible for scholarships, and can maintain these scholarships all the way through the receipt of a B.A. degree. The students attend meetings and retreats and maintain correspondence with sponsors. Unlike Vocational Plus, Transfer Bound is just beginning to consider community college students in addition to university students. Future Engineers is also a subprogram of a much larger network. It fosters engineering and mathematics skills through a format of college guidance. Future Engineers is operating at 37 community colleges and reaching approximately 1,000 students. (NB) Reproductions supplied by EDRS are the best that can be made from the original document. 3-CTirt Extending Programs to the Community College 0016 Running head: EXTENDING SCHOOL-TO-COLLEGE PROGRAMS TO THE COMMUNITY COLLEGE Extending School-to-College Programs to the Community College: Taking a Realistic View Linda Serra Hagedorn, Ph.D. Associate Professor & Associate Director Center for Higher Education Policy Analysis Program Chair Community College Leadership Rossier School of Education University of Southern California Waite Phillips Hall 703C U.S. DEPARTMENT OF EDUCATION 213-740-6772 Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION Fax: 213-740-0338 CENTER (ERIC) el This document has been reproduced as received from the person or organization Email: Lsh@usc.edu originating it. Minor changes have been made to improve reproduction quality. Andrew Chlebek Research Assistant Rossier School of Education University of Southern California Hye Sun Moon, Ph.D. Research Associate Rossier School of Education University of Southern California Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 1
Multiresolution Representation and Reconstruction of Adaptively Sampled Images

We present a method for sampling, structuring and reconstructing progressively re ned images e ectively. This has direct applications to progressive re nement of the result of slow renderers, such as ray tracers, and to the progressive transmission of images on slow media, as in world wide web browsers. Sampling images adaptively with respect to frequency at the back end provides a more compact representation. These samples are then structured at the front end using Voronoi or Delaunay tesselations, and reconstructed with C continuity taking advantage of standard 3D acceleration hardware. The structuring scheme is extended to handle multiresolution images, with optional antialiasing, allowing the representation of an arbitrary level of detail without penalizing the reconstruction.
PRICING AND HEDGING OF ENERGY SPREAD OPTIONS AND VOLATILITY MODULATED VOLTERRA PROCESSES

We derive the price of a spread option based on two assets which follow a bivariate volatility modulated Volterra (VMV) process dynamics. Such a price dynamics is particularly relevant in energy markets, modeling for example the spot price of power and gas. VMV processes are in general not semimartingales, but contain several special cases of interest in energy markets, like for example continuous-time autoregressive moving average processes. Based on a change of measure, we obtain a pricing expression based on a univariate Fourier transform of the payoff function and the characteristic function of the price dynamics. Moreover, the spread option price can be expressed in terms of the forward prices on the underlying dynamics assets. We compute a linear system of equations for the quadratic hedge for the spread option in terms of a portfolio of underlying forward contracts.
Action for perception: a motor-visual attentional effect.

Five experiments investigated whether preparation of a grasping movement affects detection and discrimination of visual stimuli. Normal human participants were required to prepare to grasp a bar and then to grasp it as fast as possible on presentation of a visual stimulus. On the basis of the degree of sharing of their intrinsic properties with those of the to-be-grasped bar, visual stimuli were categorized as "congruent" or "incongruent. " Results showed that grasping reaction times to congruent visual stimuli were faster than reaction times to incongruent ones. These data indicate that preparation to act on an object produces faster processing of stimuli congruent with that object. The same facilitation was present also when, after the preparation of hand grasping, participants were suddenly instructed to inhibit the prepared grasping movement and to respond with a different motor effector. The authors suggest that these findings could represent an extension of the premotor theory of attention, from orienting of attention to spatial locations to orienting of attention to graspable objects.
Potential approaches to the treatment of Ewing's sarcoma

Ewing’s sarcoma (ES) is a highly aggressive and metastatic tumor in children and young adults caused by a chromosomal fusion between the Ewing sarcoma breakpoint region 1 (EWSR1) gene and the transcription factor FLI1 gene. ES is managed with standard treatments, including chemotherapy, surgery and radiation. Although the 5-year survival rate for primary ES has improved, the survival rate for ES patients with metastases or recurrence remains low. Several novel molecular targets in ES have recently been identified and investigated in preclinical and clinical settings, and targeting the function of receptor tyrosine kinases (RTKs), the fusion protein EWS-FLI1 and mTOR has shown promise. There has also been increasing interest in the immune responses of ES patients. Immunotherapies using T cells, NK cells, cancer vaccines and monoclonal antibodies have been considered for ES, especially for recurrent patients. Because understanding the pathogenesis of ES is extremely important for the development of novel treatments, this review focuses on the mechanisms and functions of targeted therapies and immunotherapies in ES. It is anticipated that integrating the knowledge obtained from basic research and translational and clinical studies will lead to the development of novel therapeutic strategies for the treatment of ES.
Inhibition of CIN85-Mediated Invasion by a Novel SH3 Domain Binding Motif in the Lysyl Oxidase Propeptide

The lysyl oxidase gene inhibits Ras signaling in transformed fibroblasts and breast cancer cells. Its activity was mapped to the 162 amino acid propeptide domain (LOX-PP) of the lysyl oxidase precursor protein. LOX-PP inhibited the Her-2/Ras signaling axis in breast cancer cells, and reduced the Her-2-driven breast tumor burden in a xenograft model. Since its mechanism of action is largely unknown, co-affinity-purification/mass spectrometry was performed and the “Cbl-interacting protein of 85-kDa” (CIN85) identified as an associating protein. CIN85 is an SH3-containing adapter protein that is overexpressed in invasive breast cancers. The CIN85 SH3 domains interact with c-Cbl, an E3 ubiquitin ligase, via an unconventional PxxxPR ligand sequence, with the highest affinity displayed by the SH3-B domain. Interaction with CIN85 recruits c-Cbl to the AMAP1 complex where its ubiquitination activity is necessary for cancer cells to develop an invasive phenotype and to degrade the matrix. Direct interaction of LOX-PP with CIN85 was confirmed using co-immunoprecipitation analysis of lysates from breast cancer cells and of purified expressed proteins. CIN85 interaction with c-Cbl was reduced by LOX-PP. Domain specific CIN85 regions and deletion mutants of LOX-PP were prepared and used to map the sites of interaction to the SH3-B domain of CIN85 and to an epitope encompassing amino acids 111 to 116 of LOX-PP. Specific LOX-PP point mutant proteins P111A and R116A failed to interact with CIN85 or to compete for CIN85 binding with c-Cbl. Structural modeling identified a new atypical PxpxxRh SH3-binding motif in this region of LOX-PP. The LOX-PP interaction with CIN85 was shown to reduce the invasive phenotype of breast cancer cells, including their ability to degrade the surrounding extracellular matrix and for Matrigel outgrowth. Thus, LOX-PP interacts with CIN85 via a novel SH3-binding motif and this association reduces CIN85-promoted invasion by breast cancer cells.
Implementing product line variabilities

Software product lines have numerous members. Thus, a product line infrastructure must cover various systems. This is the significant difference to usual software systems and the reason for additional requirements on the various assets present during software product line engineering. It is imperative that they support the description of the product line as a whole, as well as its instantiation for the derivation of individual products. Literature has already addressed how to create and instantiate generic product line assets, such as domain models and architectures to generate instance specific ones [1, 2, 3], yet little attention has been given on how to actually deal with this genericity at the code level. This paper addresses the issue of handling product line variability at the code level. To this end various implementation approaches are examined with respect to their use in a product line context.
Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs

The Amazon Rainforest degradation is a worldwide concern. The rainforest has been endangered by the illegal wood extraction without control even in the preservation areas. Due to the large geography extension prevent these crimes with an unmanned aerial vehicle (UAV) is not always possible. The Wireless Acoustics Sensor Network (WASNs) technology can alleviate this problem. Here, we present an acoustical framework to detect the sounds produced by several chainsaws. Our framework was developed to be embedded in a sensor node, combining the Mel-Fourier Cepstral Coefficients (MFCCs) with One-class classification technique. This classification method, that is based on a kernel density approach, allows us to recognize only chainsaw sounds rejecting all the other possible environmental sounds, such as: animal's calls, weather noises or boat engines. In the experiments, we varied the number MFCCs coefficients and the Kernel bandwidth performing a leave-one-out cross validation to find the best combination. Finally, we found that the best parameter combination achieve 98% of accuracy showing a low FNR and a high TPR, fact that enhances the credibility of the system avoiding false alarms and making it an optimal choice for an WSN application.
Automatically transforming regularly structured linear documents into hypertext

SUMMARY Fully automatic conversion of a paper-based document into hypertext can be achieved in many cases if the original document is naturally partitioned into a collection of small-sized pieces that are unambiguously and consistently structured. We describe the methodology that we have used successfully to design and implement several straightforward conversions from the original document’s machine-readable markup.
Angle estimation for monostatic MIMO radar based on Multistage Wiener Filter

In this paper, an angle estimation algorithm for monostatic Multiple-Input Multiple-Output (MIMO) radar based on Multistage Wiener Filter (MSWF) is present. Firstly, a reduced dimensional transformation matrix can be utilized to transform the high dimensional received signal data into low dimensional one. Then the signal subspace can be obtained by forward recursion of the Multistage Wiener Filter. The root polynomial of direction of arrival (DOA) estimation can be constituted by signal subspace, and the DOA can be obtained by root-MUSIC. The proposed method avoids not only the estimate of the covariance matrix and its eigendecomposition, but also the angle searching. Thus, the proposed method has lower computational complexity. Simulation results show that the proposed algorithm has better estimation performance than other methods.