Miracle-dz/UniFAR-FTUs huggingface dataset:
The Analysis of Mobility Models in MANETs with Two-Hop Relay Algorithm

The lack of available and practical analysis about some regular knowledge of mobility models has limit their applications to mobile ad hoc networks. As the mobility models have the great significance effects on the network performance, and meanwhile, existing in-depth researches are mostly based on the i.i. d. mobility model which is a way of globe move, the desire for the effective and reasonable applications of the two-hop relay algorithms to other more realistic mobility models contributes to this paper. We focus on a time-slotted finite network system in order to simplify the complex probabilistic description process of the non-i.i. d. mobility models and we develop some general probability analysis under various mobility solutions. We further put forward some conditions that can make the behaviors of the special mobility models approximately equivalent to that of the i.i. d mobility model. Related simulation studies are also conducted to demonstrate that the different mobility models might have similar influences on the capacity and delay of a mobile ad hoc network.
Presentation - Concepts, trajectories, and approaches to “agitation” and “non-conforming children”: social and cultural experiences in Brazil, Chile and France

Correspondence Pablo Cottet Universidad de Chile, Facultad de Ciencias Sociales. Av. Capitán Ignacio Carrera Pinto, 1.045, Ñuñoa. Santiago, Chile. CP 685 033. “Agitation” and “non-conforming children” is the subject of reflection and discussion of a group of researchers interested in situations where children and/or their behaviors identified as problematic and disturbing. Children and their behaviors have received significant attention in various disciplines, including psychiatry, psychology, psychoanalysis, education and pedagogy, where special emphasis has been put on children’s development, their socialization and social integration. Scholars in these disciplines have illustrated how some scientific theories seem to legitimate the need for adapting both children and their behaviors to social and cultural expectations, that is, to the patterns of normality underpinned by the moral values of the society in which they live. These subjects are however not studied only by the sciences that deal with normal and pathological human behavior. Children’s behaviors constitute Pablo Cottet Orcid: https://orcid.org/0000-0003-3431-3307 E-mail: pcottet@yahoo.com Aude Béliard Orcid: https://orcid.org/0000-0002-8853-8037 E-mail: aude.beliard@parisdescartes.fr Eunice Nakamura Orcid: https://orcid.org/0000-0001-8786-5207 E-mail: eunice_nakamura@hotmail.com
Wireless commerce: marketing issues and possibilities

Wireless commerce is viewed as the extension of Internet-based e-commerce beyond the static terminal of the PC or the Web-TV to the flexible anytime, anywhere, anyplace context of the mobile environment. While many in the industry and popular press seem to equate the world of Internet e-commerce and wireless commerce as one and the same, there are unique characteristics of the wireless technology and its usage that renders it distinctly different from and complementary to Internet based e-commerce. This difference also has important implications for the marketing of goods, services and content and for conducting marketing research using wireless technology. We first discuss the unique characteristics of wireless technology and its usage. On the basis of these characteristics, we identify and set out a series of propositions that relate to the issues of marketing and marketing research using wireless technology. In making our arguments, we view how wireless technology's contribution complement the capabilities brought about by Internet based e-commerce. Finally, we outline a marketing research agenda that will allow testing of some of the propositions put forth in the paper.
Using Complete Genome Comparisons to Identify Sequences Whose Presence Accurately Predicts Clinically Important Phenotypes

In clinical settings it is often important to know not just the identity of a microorganism, but also the danger posed by that particular strain. For instance, Escherichia coli can range from being a harmless commensal to being a very dangerous enterohemorrhagic (EHEC) strain. Determining pathogenic phenotypes can be both time consuming and expensive. Here we propose a simple, rapid, and inexpensive method of predicting pathogenic phenotypes on the basis of the presence or absence of short homologous DNA segments in an isolate. Our method compares completely sequenced genomes without the necessity of genome alignments in order to identify the presence or absence of the segments to produce an automatic alignment of the binary string that describes each genome. Analysis of the segment alignment allows identification of those segments whose presence strongly predicts a phenotype. Clinical application of the method requires nothing more that PCR amplification of each of the set of predictive segments. Here we apply the method to identifying EHEC strains of E. coli and to distinguishing E. coli from Shigella. We show in silico that with as few as 8 predictive sequences, if even three of those predictive sequences are amplified the probability of being EHEC or Shigella is >0.99. The method is thus very robust to the occasional amplification failure for spurious reasons. Experimentally, we apply the method to screening a set of 98 isolates to distinguishing E. coli from Shigella, and EHEC from non-EHEC E. coli strains and show that all isolates are correctly identified.
Threshold cointegration in R

The concept of cointegration suggests that even if two or more variables are non-stationary, there can exist a linear combination of them that is stationary (Engle and Granger 1987). It implies the existence of a stable long-run relationship between the variables. In this framework, however, every deviation from the long-run equilibrium results in an error correction mechanism. The concept of threshold cointegration (Balke and Fomby 1997) extends the linear cointegration case by allowing the adjustment to occur only after the deviation exceeds some critical threshold. This allows the model to take into account possible effects of transaction costs or stickiness of prices. Further, it permits us to capture asymmetries in the adjustment process, where positive or negative deviations are not corrected to the same extent. The presentation will review the concept of threshold cointegration, discuss recent developments in the field and show how to use the package ”tsDyn” (di Narzo, Aznarte and Stigler 2009) in R to estimate and interpret threshold cointegration models.
A Theory of Lowest-Price Guarantees

Retailers offer lowest-price guarantees (LPGs) to make their lowest-price claims credible. LPGs induce customers to purchase before search and even abandon post-purchase search. Moreover, Þrms gain or lose customer goodwill depending on the credibility of their lowest-price claims. We Þnd that the change in search pattern raises prices while goodwill intensiÞes price competition. Consequently, equilibrium prices may be lower even if total search decreases with LPGs. If goodwill is exogenous, the rate of price decline in goodwill increases with search intensity. In the limit where all customers search, any positive goodwill leads to Bertrand prices. If goodwill varies linearly with the price differential, prices are at either monopoly or Bertrand levels.
A Tracking Model with Occlusion Handling Based on Information Fusion

For object tracking with occlusion in video application, in this paper, an information fusion tracking model based on level set method is proposed. There are two components. One is an object tracking model with information fusion, which utilize multiple information to achieve moving object segmenting task. The other component is occlusion handling with information fusion. During occlusion occurs this component can located moving objects accurately because of employing objects moving features.
Biomarkers of early effect in the study of cancer risk

Cancer is an abnormal genetic phenomenon, involving multiple steps of somatic mutation. Genetic damage can occur at the level of the gene (e.g., point mutations and deletions) or the chromosome (e.g., aneuploidy, translocations). During the last two decades, a wide spectrum of biomarkers of genetic damage has been developed to detect early mutational and chromosomal effects of carcinogenic exposure in humans. Historically, biomarkers have tended to measure mutations in surrogate genes or use cytogenetics to assess overall changes in chromosome structure and number. These biomarkers have been shown to be associated with a wide range of carcinogenic exposures, but they are not truly biomarkers of early effect as they are not on the causal pathway of disease. Identification of early causal genetic events in cancer has led to the recent development of novel biomarkers of early effect in high-risk populations. These novel biomarkers measure changes frequently observed among cancer patients, including point mutations in genes such as p53 and RAS, altered gene methylation, and aneuploidy (chromosome loss or gain), including monosomy 7 and trisomy 8, and specific chromosome rearrangements such as translocations. Future technologies will measure >50,000 endpoints from a drop of blood using proteomics and array technologies and identify all genetic polymorphisms related to susceptibility using high-throughput genomics. Application of these biomarkers to study individuals who may be at risk, but who do not yet have cancer, will result in improved early detection, as well as a better understanding of the risk factors for cancer itself.
Cancer Incidence in First Generation U.S. Hispanics: Cubans, Mexicans, Puerto Ricans, and New Latinos

Background:The diversity among Hispanics/Latinos, defined by geographic origin (e.g., Mexico, Puerto Rico, Cuba), has been neglected when assessing cancer morbidity. For the first time in the United States, we estimated cancer rates for Cubans, Mexicans, Puerto Ricans, and other Latinos, and analyzed changes in cancer risk between Hispanics in their countries of origin, U.S. Hispanics in Florida, and non-Hispanic Whites in Florida. Methods: Florida cancer registry (1999-2001) and the 2000 U.S. Census population data were used. The Hispanic Origin Identification Algorithm was applied to establish Hispanic ethnicity and subpopulation. Results: The cancer rate of 537/100,000 person-years (95% confidence interval, 522.5-552.5) for Hispanic males in Florida was lower than Whites (601; 595.4-606.9). Among women, these rates were 376 (365.6-387.1) and 460 (455.6-465.4), respectively. Among Florida Hispanics, Puerto Ricans had the highest rates, followed by Cubans. Mexicans had the lowest rates. Rates for Hispanics in Florida were at least 40% higher than Hispanics in their countries of origin, as reported by the IARC. Conclusion: Substantial variability in cancer rates occurs among Hispanic subpopulations. Cubans, unlike other Hispanics, were comparable with Whites, especially for low rates of cervical and stomach cancers. Despite being overwhelmingly first generation in the U.S. mainland, Puerto Ricans and Cubans in Florida showed rates of colorectal, endometrial, and prostate cancers similar to Whites in Florida. Because rates are markedly lower in their countries of origin, the increased risk for cancer among Cubans, Mexicans, and Puerto Ricans who move to the United States should be further studied. (Cancer Epidemiol Biomarkers Prev 2009;18(8):2162–9)
Game for Mayan Speaking Children with Speech Recognition Provided by an English Speech Corpus

This paper presents a game with speech recognition for children who speak the Mayan language, based on a corpus designed for the English language. The goal of this work is to test whether an English speech corpus can be useful in the development of speech recognition applications for the Mayan language and thus develop teaching resources for the bilingual education.
Improved speech recognition in noisy environments by using a throat microphone for accurate voicing detection

In this paper we show that microphones that capture the bone-conducted voice can be used to improve Automatic Speech Recognition in noisy environments. These microphones exhibit good noise rejection properties and their signals are therefore good indications of speech activity, even in very noisy conditions. We conducted experiments where we used a throat microphone signal as a Voice Activity Detection (VAD) input signal and found that recognition accuracies in non-stationary noise improve significantly compared to when VAD is executed on a conventional microphone signal.
Using D-InSAR and offset tracking technique to monitor mining subsidence

Differential synthetic aperture radar interferometry (D-InSAR) technology is a popular method to monitor ground deformation. Two-pass D-InSAR and sub-pixel offset tracking approaches are presented to analyze the mining subsidence, which is located in Yuxian, Hebei province, China. The availability of 20 commissioned TerraSAR-X (TSX) Spotlight SAR images were acquired from 9th June 2015 to 4th January 2016. To avoid decorrelation between SAR acquisitions, every 11-day TSX Spotlight pair was processed so that 19 SAR image pairs were formed. While differential interferograms were obtained based on SRTM DEM, interference fringes are too much denser or de-coherence in the main mining area and result in phase unwrapping error or the wrong deformation. Although the phase unwrapping in rapid sedimentation rate's areas would be failed, we can obtain the mining direction by means of time series settlement image analyzing. D-InSAR technology has the limitation that high-gradient deformation zone cannot be unwrapped truly because high-gradient deformation zone will result in phrase overlap or decorrelation. To improve the accuracy of these areas, the pixel offset tracking technology is used. Comparing with the leveling results, the unequal settlement can reach up to 1m. In this experiment, two images in 3th August, 2015 and 4th January, 2016 were applied to calculate through sub-pixel offset tracking technology. The subsidence result is up to 1.96m in the main coal mining area.
Patches of disorganization in the neocortex of children with autism.

BACKGROUND Autism involves early brain overgrowth and dysfunction, which is most strongly evident in the prefrontal cortex. As assessed on pathological analysis, an excess of neurons in the prefrontal cortex among children with autism signals a disturbance in prenatal development and may be concomitant with abnormal cell type and laminar development. METHODS To systematically examine neocortical architecture during the early years after the onset of autism, we used RNA in situ hybridization with a panel of layer- and cell-type-specific molecular markers to phenotype cortical microstructure. We assayed markers for neurons and glia, along with genes that have been implicated in the risk of autism, in prefrontal, temporal, and occipital neocortical tissue from postmortem samples obtained from children with autism and unaffected children between the ages of 2 and 15 years. RESULTS We observed focal patches of abnormal laminar cytoarchitecture and cortical disorganization of neurons, but not glia, in prefrontal and temporal cortical tissue from 10 of 11 children with autism and from 1 of 11 unaffected children. We observed heterogeneity between cases with respect to cell types that were most abnormal in the patches and the layers that were most affected by the pathological features. No cortical layer was uniformly spared, with the clearest signs of abnormal expression in layers 4 and 5. Three-dimensional reconstruction of layer markers confirmed the focal geometry and size of patches. CONCLUSIONS In this small, explorative study, we found focal disruption of cortical laminar architecture in the cortexes of a majority of young children with autism. Our data support a probable dysregulation of layer formation and layer-specific neuronal differentiation at prenatal developmental stages. (Funded by the Simons Foundation and others.).
A Cognitive-Affective Measurement Model Based on the 12-Point Affective Circumplex

In the existing studies, the quantification of human affect from brain signals is not precise because it is merely rely on some approximations of the models from different affective modalities rather than the neurophysiology of emotions. Therefore, the objective of this study is to investigate the cognitive-affective model for quantifying emotions based on the brain activities through electroencephalogram (EEG). For that purpose, the recalibrated Speech Affective Space Model (rSASM) and the 12-Pont Affective Circumplex (12-PAC) were compared. Moreover, Kernel Density Estimation (KDE) and Mel-Frequency Cepstral Coefficients (MFCC) were used for feature extractions and Multi-Layer Perceptron (MLP) neural network was employed as the classifier. The results show that the MFCC-12PAC cognitive-affective model is the best model for all subjects. Furthermore, the results indicate that emotions are unique between participants and consistent throughout performing executive function tasks. Therefore, our empirical work has provided evidences that 12-PAC model may be adapted to improve the quantification of human affects from the brain signals. The analysis may be later expanded for the construction of an automated tool for the understanding of children's emotion during intervention sessions with psychologists.
SPHERICAL COLLAPSE IN MODIFIED NEWTONIAN DYNAMICS

Modeling the structure formation in the universe, we extend the spherical-collapse model in the context of modified Newtonian dynamics (MOND) starting with the linear Newtonian structure formation followed by the MONDian evolution. In MOND, the formation of structures speeds up without a need for dark matter. Starting with the top-hat overdense distribution of the matter, the structures virialize with a power-law profile of the distribution of matter. We show that the virialization process takes place gradually from the center of the structure to the outer layers. In this scenario, the smaller structures enter the MONDian regime earlier and evolve faster, hence they are older than larger structures. We also show that the virialization of the structures occurs in the MONDian regime, in which the smaller structures have stronger gravitational acceleration than the larger ones. This feature of the dynamical behavior of the structures is in agreement with the fact that the smaller structures, as the globular clusters or galactic bulges, have been formed earlier and need less dark matter in cold dark matter scenario.
A new framework for task oriented sensor based robot programming and verification

We evaluate the usage of skill primitive nets for programming robots, which support hybrid control in a uniform way. This notation gives an easy and intuitive way to switch between position, velocity, and force control for each DOF independently as long as no inherent dependencies are affected. Robot specific restrictions within the work space are an intrinsic problem of the approach to a portable programming interface. We deal with this problem by using the model checker HyTech to analyze a robot program consisting of skill primitives. This analysis verifies nets of skill primitives under consideration of these restrictions.
Genetic predisposition in nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease whose prevalence has reached global epidemic proportions. Although the disease is relatively benign in the early stages, when severe clinical forms, including nonalcoholic steatohepatitis (NASH), cirrhosis and even hepatocellular carcinoma, occur, they result in worsening the long-term prognosis. A growing body of evidence indicates that NAFLD develops from a complex process in which many factors, including genetic susceptibility and environmental insults, are involved. In this review, we focused on the genetic component of NAFLD, with special emphasis on the role of genetics in the disease pathogenesis and natural history. Insights into the topic of the genetic susceptibility in lean individuals with NAFLD and the potential use of genetic tests in identifying individuals at risk are also discussed.
Introducing New Meta Search Model through Content based Image Retrieval Algorithm

This paper presents an approach to model content based metasearch engine which search all the content related images present in the dataset. Searching through the keywords in an image database require a lot of Meta data (keywords about the image) to be stored for each image in a separate database. This does not lead to an effective search mechanism. This mechanism basically works for the relevant output for the input query image. The process based on the image extraction by the implemented functions like “edge histogram”, “image feature extraction i.e. sharpness, smoothness, color etc.
A mm-Wave quadrature VCO based on magnetically coupled resonators

Wireless signal processing at mm-Waves would benefit from the availability of a quadrature signal reference, enabling direct-conversion transceiver architectures and providing phase rotators drivers in phased arrays systems [1]. They are furthermore attractive for clock recovery in ICs for wireline applications. Search of a compact quadrature generator at around 60GHz with low phase noise at moderate power is the topic of this work. Discarding a double-frequency VCO followed by dividers-by-two given the high frequency range of operation, the most suitable topology borrowed by RF solutions is represented by cross-coupled LC voltage-controlled oscillators [2]. However, the oscillation frequency dependence on the biasing current makes it susceptible to phase noise, close-in in particular [3]. At mm-Waves, this is exacerbated by core devices of small dimensions to such an extent that 1/f3 noise remains dominant up to more than ∼10MHz, making it unsuitable for stringent applications. On the contrary a ring of two VCOs magnetically coupled to each other, as shown in Fig. 16.2. 1, has an oscillation frequency dependence on inter-stage passive components only, low 1/f3 noise together with good quadrature accuracy. The quadrature oscillator has been realized in a 65nm CMOS technology and prototypes show the following performances: 56-to-60.3GHz tunable oscillation frequency, phase noise better than −95dBc/Hz at 1MHz offset in the tuning range, 1.5° maximum phase error while consuming 22mA from a 1V supply.
Argument Structure and Unaccusativity in the Constraint-based Lexicon

This paper addresses the issue of Split Intransitivity (si) and Unaccusative Mismatches (uMs), proposing a constraint-based approach to si and ums within a recent framework of Head-driven Phrase Structure Grammar. I argue against the widely accepted dichotomous distinction of intransitive verbs, which has been advanced by the Unaccusative Hypothesis [Perlmutter (1978)]. I then propose a quadripartitive distinction of intransitive verbs on the basis of the distribution of subject argument in the semantically motivated argument structure, and show that this quadripartitive distinction allows a better understanding of si and ums. The main idea of this proposal will be summarized as the Quadripartitive Split Intransitivity Hypothesis (Qsm).