Miracle-dz/UniFAR-FTUs huggingface dataset:
A STATISTICAL SURVEY OF IONOSPHERIC EFFECTS ON L-BAND SAR DATA

Recent theoretical analyses of ionospheric distortions in low-frequency SAR signals have indicated many effects that are likely to affect the quality of SAR, interferometric SAR (InSAR), and polarimetric SAR (PolSAR) data (see [1-5]). Faraday rotation, relative range shifts, internal deformations of the image amplitude, range and azimuth blurring, and interferometric phase errors are some of the most significant effects. These distortions affect the quality of SAR data used for other purposes, but they also provide a unique opportunity to study ionospheric events at a fine resolution over large areas.
Seeing Potential

I present new evidence on the effects of having a same-sex or same-race teacher on two salient outcomes: teacher expectations for postsecondary attainment and teacher recommendations for advanced courses. My identification strategy conditions on all subject-invariant student traits to provide causal estimates of the effects using data from the Educational Longitudinal Study of 2002. Across the full sample, there is little evidence of an effect of having a same-sex or a same-race teacher on expectations or recommendations. However, I find surprisingly large effects for Black students on teacher expectations. For these students, the effect of a same-race teacher on teacher expectations to complete more than high school is between 11 and 17 percentage points. This effect is at least 70% of the White–Black race gap in teacher expectations.
El trastorno obsesivo-compulsivo y la regulación emocional: una revisión bibliográfica

1 Extended Summary . 2 1. Introducción . 4 2. Trastorno Obsesivo-Compulsivo . 5 2.1. Características clínicas . 5 2.1. 1. Las obsesiones. 6 2.1. 2. Las compulsiones . 7 2.1. 3. Tipos de contenidos cognitivos, creencias disfuncionales . 8 2.2. Datos epidemiológicos . 11 2.3. Clasificación y Diagnóstico. 12 2.3.1. Clasificación del TOC . 12 2.3.2. Diagnóstico . 15 2.4. Factores etiológicos . 18 3. Regulación Emocional . 19 3.1. Definiciones . 19 3.2. Modelo de procesos de la regulación emocional de Gross (1998) . 21 3.3. Regulación Emocional y Psicopatología . 23 4. Procedimiento de búsqueda . 26 5. TOC y Regulación Emocional. 27 6. Conclusiones . 33 Bibliografía . 35
Short Selling Bans and Institutional Investors' Herding Behavior: Evidence from the Global Financial Crisis

The literature on short-selling restrictions focusses mainly on a ban's impact on market efficiency, liquidity and overpricing. Surprisingly, little is known about the effects of short-sale constraints on herd behaviour. Since institutional investors have come to dominate mature stock markets and rely extensively on short sales, constraining these traders may influence the asset pricing process. We investigate six stock markets that faced bans during the recent global financial crisis. Our empirical evidence shows that short-selling restrictions exhibit either no influence on herding formation or induce adverse herding. This implies a higher dispersion of returns around the market compared to rational asset pricing, which can be interpreted as an increase in uncertainty among stock market investors.
The interleukin‐1 receptor/Toll‐like receptor superfamily: signal generators for pro‐inflammatory interleukins and microbial products

The interleukin‐1 (IL‐1) receptor/Tolllike receptor (TLR) superfamily is a recently defined and expanding group of receptors that participate in host responses to injury and infection. The superfamily is defined by the Toll/IL‐1 receptor (TIR) domain, which occurs in the cytosolic region of family members, and is further subdivided into two groups based on homology to either the Type I IL‐1 receptor or Drosophila Toll receptor extracellular domain. The former group includes the receptor for the important Th1 cytokine IL‐18, and T1/ST2, which may have a role in Th2 cell function. The latter group includes six mammalian TLRs, including TLR2 and TLR4, that largely mediate the host response to gram‐positive and gram‐negative bacteria, respectively. Whether bacterial products are actual ligands for TLRs, or whether they generate ligands via as yet unidentified pattern recognition receptors, has yet to be determined. Signaling pathways activated via the TIR domain trigger the activation of downstream kinases, and transcription factors such as NF‐κB, and involve the adaptor protein MyD88, which itself contains a TIR domain. J. Leukoc. Biol. 67: 508–514; 2000.
A fast Reconfigurable 2D HW core architecture on FPGAs for evolvable Self-Adaptive Systems

Modern FPGAs with Dynamic and Partial Reconfiguration (DPR) feature allow the implementation of complex, yet flexible, hardware systems. Combining this flexibility with evolvable hardware techniques, real adaptive systems, able to reconfigure themselves according to environmental changes, can be envisaged. In this paper, a highly regular and modular architecture combined with a fast reconfiguration mechanism is proposed, allowing the introduction of dynamic and partial reconfiguration in the evolvable hardware loop. Results and use case show that, following this approach, evolvable processing IP Cores can be built, providing intensive data processing capabilities, improving data and delay overheads with respect to previous proposals. Results also show that, in the worst case (maximum mutation rate), average reconfiguration time is 5 times lower than evaluation time.
Interspecific Relationships Between Egg Size and the Level of Parental Investment per Offspring in Echinoderms

The relationship between the size of an egg and its energy content was analyzed using published data for 47 species of echinoderms. Scaling relationships were evaluated for all species, as well as for subsets of the species, based on mode of development. Regressions were calculated using linear, power function, full allometric, and second-order polynomial models. The full allometric model is preferred because it is relatively simple and the most general. Among these species of echinoderms, larger eggs contain more energy. Egg energy content scales isometrically across a wide range of egg sizes both among and within different modes of development. The only exception is among species with feeding larval development, where there does not seem to be a clear scaling relationship. In most cases, the regressions were statistically significant and explained a very large proportion of the variance in energy content. However, there were wide confidence intervals around the estimated regression parameters. In all cases, the predictive power of the regression was poor, requiring large differences in egg size to yield significantly different predictions of energy content. Consequently, egg size is of limited value for the quantitative prediction of egg energy content and should be used with caution in life-history studies.
TRANSACTIONAL AGENTS: A ROBUST APPROACH FOR SCHEDULING ORDERS IN A COMPETITIVE JUST-IN-TIME MANUFACTURING ENVIRONMENT

Globalization and outsourcing make the concept of Just-In-Time manufacturing a very attractive solution for cutting production costs and bringing new products to the market as early as possible. However, this has a deep impact on traditional production planning. Time-slots at the appropriate production units must be allocated for each manufacturing stage of a product. This reservation occurs in a new environment, in which every production order competes for the best slots at the production units available in a huge open market. By representing the production orders and the production units as agents, we present an approach for solving the distributed scheduling problem between these competitive agents. Using our agent implementation framework, which is based on an extension of classical database transactions, we guarantee the robustness of the whole Multi -Agent System.
Telemanipulation in the Virtual Nano Reality

The real-time simulation of the Atomic Force Microscope (furthermore AFM) offered us a remote environment for telemanipulation. A special master device for AFM is also introduced in this paper. Siding mode based Disturbance Observer has used for this master device to eliminate non-idealities such as friction. This paper contains brief introduction to telemanipulation and AFM, mechanical model of cantilever of AFM and the experimental results.
A Evolução Tecnológica do Biodiesel no Brasil e o Desempenho Social de suas Empresas: O Caso da Petrobrás Biocumbustíveis

O objetivo geral do trabalho e analisar as relacoes entre evolucao tecnologica e desempenho social da Petrobras Biocombustiveis (PBio). Para tanto, foi realizada uma pesquisa de campo com tratamento quali-quantitativo das informacoes. Assim, a PBio apresentou tres tipos de evolucao na relacao estudada, a saber: i) mais social: como no caso da relacao entre tecnologia agricola e agricultura familiar; ii) mais tecnologica: como no caso da relacao entre tecnologias industriais e acionistas (privados e governo) e tecnologias industriais e meio ambiente e iii) equilibrada: como foi o caso entre tecnologia industrial e agricultura familiar. Mostra-se que a evolucao entre capacidades tecnologicas e DSE se deu na PBio de forma equilibrada, quando se consideraram as dimensoes tecnologias industriais e a agricultura familiar, e de forma desequilibrada, na combinacao das demais dimensoes analisadas. Conclui-se que a PBio necessita buscar mais equilibrio na relacao entre desenvolvimento tecnologico e desempenho social.
Excess Entry, Vertical Integration, and Welfare

This article provides a systematic analysis of the welfare effects of vertical integration by a monopolist input supplier into a monopolistically competitive downstream industry. We give sufficient conditions on consumer preferences that lead to Pareto-improving vertical integration and demonstrate a close relationship between assumptions on preference for variety, excess entry in monopolistically competitive markets, and the welfare effects of vertical integration: Excess entry in downstream markets tends to give rise to Pareto-improving vertical integration. We extend the analysis to vertical oligopoly and access price regulation.
L'enfant confronté à son cancer : Enfance, corps et psychisme : d'une souffrance à l'autre

L'auteur decrit les principaux elements psychopathologiques de l'experience du cancer chez l'enfant, qui est toujours une epreuve bouleversante pour lui et sa famille, dans la realite et comme evenement ouvrant une quete de sens. Elle touche aux aspects fondamentaux de sa vie. Il se sent fragilise dans la realite et l'image de son corps, peut ne plus l'aimer, lui faire confiance, ne plus s'y reconnaitre. Ses parents peuvent etre destabilises dans leur position parentale, la fratrie perdre ses reperes, et lui le sentiment de sa place dans la structure familiale. Son rapport aux autres peut changer, ainsi que sa place sociale (dans la realite et l'imaginaire). Son regard sur le monde change : lucidite, amertume, tolerance, etc. Sa confrontation inevitable a la mort (experience des limites de l'imaginable, du pensable) introduit une rupture profonde dans la continuite de sa vie, et entre lui et les autres. Tout ceci bouleverse son sentiment d'identite, l'incitant a repondre a la question : « qui suis-je desormais ? ». Cette experience peut laisser des traces graves, durables. La competence d'une equipe soignante et un travail psychotherapique, pendant le traitement et/ou apres, peuvent les prevenir ou aider a leur depassement.
Using Collocation Statistics in Information Extraction

Our main objective in participating MUC-7 is to investigate and experiment with the use of collocation statistics in information extraction. A collocation is a habitual word combination, such as \weather a storm", \ le a lawsuit", and \the falling yen". Collocation statistics refers to the frequency counts of the collocational relations extracted from a parsed corpus. For example, out of 6577 instances of \addition" in a corpus, 5190 was used as the object of \in". Out of 3214 instances of \hire", 12 of them take \alien" as the object.
Living in Two Worlds: Intentional Personal Development of Autistic Individuals

Despite an increased interest in autism over the last decades, little research exists about life outcomes of autistic adults. The earliest follow-up studies of autistic individuals suggested that self-understanding and conscious efforts to change could be crucial factors in successfully reaching good life outcomes. However, these initial suggestions have not been further investigated. Therefore, this exploratory qualitative study examined the lives of eight highfunctioning autistic adults aged 25 to 63, from their own perspectives, through in-depth, semistructured interviews, to consider the relation of self-understanding and conscious efforts to change—in this study referred to as intentional personal development—to their life outcomes. All participants demonstrated a level of self-understanding beyond what would be predicted by current theoretical models of autism. Their self-understanding was assessed through participants’ self-definitions, meaning-making of life experiences, and understanding of emotions. In their self-definitions, the participants emphasized their abilities and personality characteristics, rather than their disabilities. For their self-defining memories, as indicators of their meaning making of life experiences, most participants chose positive experiences related to their personal development. Their autobiographical accounts revealed that most participants possess a large
Sepsis and mechanisms of inflammatory response: is exercise a good model?

Objectives—The immune changes induced by a bout of prolonged and vigorous exercise have been suggested to be a useful experimental model of sepsis and the inflammatory response. Available literature was reviewed to evaluate this hypothesis. Methods—Literature describing the immune response to various patterns of exercise was compared with data on the immune changes observed during sepsis and inflammation. Results—Although there are qualitative similarities between the immune responses to exercise and sepsis, the magnitude of the changes induced by most forms of exercise remains much smaller than in a typical inflammatory response. Indeed, the exercise induced changes in some key elements such as plasma cytokine concentrations are too small to be detected reliably by current technology. Conclusions—If exercise is to provide a valid model of sepsis and the inflammatory response, it will be necessary to focus on subjects who are willing to exercise extremely hard, to use the pattern of exercise that has the greatest effect on the immune system, and to combine this stimulus with other psychological, environmental, or nutritional stressors.
Profiling Honeynet Attackers

This paper describes the value and process of using honeynets to profile attackers in the blackhat community. Data were taken from a compromised honeynet deployed by The Honeynet Project and were analyzed for significant events. The data were then used to create a profile of the type of attackers attempting to break in to systems similar to the honeynet and the exploits that may have been used. After an extensive analysis of the alerts given out by the Apache and Snort logs, we find that only inexperienced hackers attack the honeynet for the pure opportunity of it.
BiosFlow - A bioinformatics workflow platform based on semantic web technology

to facilitate biologist's research, workflow technology provides a generic mechanism to integrate diverse types of resources, such as databases, software and services, which facilitate knowledge exchange within different divergent fields. In this paper, we developed a workflow-based platform for integrating bioinformatics applications and tools, namely BiosFlow. BiosFlow is a Semantic Web platform, which provides nucleotide, protein and multiple neural spike train data analysis.
Synchronization theory of Lur'e systems : an overview

We present a short overview of synchronization theory for Lur'e systems. Lur'e systems form a class of non-linear systems with Chua's circuit and certain generalizations (e.g. n-scroll circuits) and such coupled cells as examples. By exploiting the sector conditions on the non-linear characteristics one can derive sufficient conditions for global asymptotic stability of the error systems. For secure communications using chaos we discuss the non-linear H 1 synchronization method. In the case of Lur'e systems conditions for synchronization can be expressed in terms of matrix inequalities. Controllers for achieving synchronization are designed based upon these matrix inequalities. A similar methodology can be followed for impulsive synchronization schemes.
A critical evaluation of datasets for investigating IDSs and IPSs researches

Complex and new cases of intrusions, new bugs, security issues and vulnerabilities are evolving everyday for a number of reasons. Consequently, researchers in the domains of Intrusion Detection Systems and Intrusion Prevention Systems constantly design new methods to lessen the aforementioned security issues. However, getting suitable datasets for evaluating various research designs in these domains is a major challenge for the research community, vendors and data donors over the years. As a result, most intrusion detection and prevention methodologies are evaluated using wrong categories of datasets because the limitations of each category of evaluative datasets are unknown. Therefore, this paper presents a critique of the challenges associated with evaluative datasets for investigating intrusion detection and prevention methodologies and how these challenges can be lessened. Finally, these analyses will effective guide researchers and vendors in securing evaluative datasets for validating the intrusion detection and prevention systems.
The Inverse Problem of Support Vector Machines Solved by a New Intelligence Algorithm

An inverse problem of support vector machines (SVMs) was investigated. The inverse problem is how to split a given dataset into two clusters such that the margin between the two clusters attains the maximum. Here the margin is defined according to the separating hyper plane generated by support vectors. It is difficult to give an exact solution to this problem. An immunogenetic particle swarm incorporated intelligence algorithm was proposed to solve this problem. This study on the inverse problem of SVMs is motivated by designing a heuristic algorithm for generating decision trees with high generalization capability. The application in the recognition of the bank risk shows it is effective
SVM classifier based face detection system using BDIP and BVLC moments

In this paper, a support vector machine (SVM) classifier has been used to detect a face in an authentication application. A face candidate is first allocated from the input frame and then normalized to 200×200 pixels images. The textureness of candidates is then measured by the combination of BDIP and BVLC moments and classified into face and non-face ones by a SVM classifier which is known as efficient classification tool. In SVM learning, a DB of 2500 faces and 2500 non-faces has been created under different light conditions and face expressions. The experiments showed that the effectiveness of the used features for SVM based classification issue in the face-detection system.
How to integrate phonetic and linguistic knowledge in a text-to-phoneme conversion task: a syllabic TPC tool for French

The goal of this work is to present a text-to-phonemecon-version (TPC) check tool for generating dictionaries usable for Speech Synthesis and Speech Recognition which includes phonetic and linguistic knowledge 1 . The aim is to improve and accelerate the task of producing canonic pronunciation dictionaries in languages where no simple text-to-phoneme conversion is possible. The prototype was developed for a French syllable-based text-to-phoneme task but it is portable to other languages.
On the periodically time-varying bias in adaptive feedback cancellation systems with frequency shifting

Frequency shifting has been used for acoustic feedback control in audio reinforcement systems since the 1950s. It can be used as a stand-alone system and/or it can be combined with an acoustic feedback cancellation system using adaptive filters. A spectral shifting of the loudspeaker signal in an audio system breaks the acoustic feedback loop, and it decorrelates the reference and error signals to the adaptive filter in the cancellation system, which is useful for getting an unbiased adaptive filter estimation. In this work, we analyze the decorrelation effect from the frequency shifting in an acoustic feedback cancellation system. We show that the influence from the frequency shifting, on the correlation function between the reference and error signals, can be divided into two parts: a fast time-varying part and a slowly time-varying part. Especially the slowly time-varying part of the correlation function leads to a periodically time-varying bias in the adaptive filter estimation, which limits the feedback cancellation performance. We propose a solution to obtain an unbiased estimation by removing the slowly time-varying part in the adaptive filter estimation and we verify it by simulations.
Activated chemical defenses in tropical versus temperate seaweeds

Chemical defenses that are rapidly activated in response to injury have been reported in numerous species of vascular plants, but activated chemical defense has been demonstrated for only 1 genus of seaweed. To investigate the frequency of potential activated chemical defenses in seaweeds and to determine if there are geographic differences in the frequency of theses, we con- ducted urchin and fish feeding assays using chemical extracts from 42 species of temperate or tropi- cal seaweeds that were damaged immediately before extraction in organic solvents (= the potentially activated extract) or placed in organic solvents before they were damaged (= the non-activated extract). Seven species exhibited changes in palatability consistent with activated defenses while 4 species became more, rather than less, palatable if they were damaged 30 s before extraction. Fre- quency of activation did not vary geographically. Seventeen percent of tropical species (4 of 24) and 17% of temperate species (3 of 18) exhibited changes in palatability that were consistent with acti- vation of chemical defenses. Thin-layer chromatography of lipid-soluble extracts indicated that dam- aging the thallus prior to extraction caused noticeable chemical changes in 70% of the species eval- uated. Investigations of algal chemical defenses thus need to consider the effects of injury during herbivore attacks and the effects of extraction methodology on the types of, and concentrations of, metabolites discovered in seaweeds.
Social network-based recommendation: a graph random walk kernel approach

Traditional recommender system research often explores customer, product, and transaction information in providing recommendations. Social relationships in social networks are related to individuals' preferences. This study investigates the product recommendation problem based solely on people's social network information. Taking a kernel-based approach, we capture consumer social influence similarities into a graph random walk kernel and build SVR models to predict consumer opinions. In experiments on a dataset from a movie review website, our proposed model outperforms trust-based models and state-of-the-art graph kernels.