Miracle-dz/UniFAR-FTUs huggingface dataset:
Gravitational waves from binary systems in circular orbits: Does the post-Newtonian expansion converge?

Gravitational radiation can be expressed in terms of an infinite series of radiative, symmetric trace-free (STF) multipole moments which can be connected to the behavior of the source. We consider a truncated model for gravitational radiation from binary systems in which each STF mass and current moment of order l is given by the lowest-order, Newtonian-like l-pole moment of the orbiting masses; we neglect post-Newtonian corrections to each STF moment. Specializing to orbits which are circular (apart from the radiation-induced inspiral), we find an explicit infinite series for the energy flux in powers of $v/c$, where v is the orbital velocity. We show that the series converges for all values $v/c < 2/e$ when one mass is much smaller than the other, and $v/c < 4/e$ for equal masses,where e is the base of natural logarithms. These values include all physically relevant values for compact binary inspiral. This convergence cannot indicate whether or not the full series (obtained from the exact moments) will converge. But if the full series does not converge, our analysis shows that this failure to converge does not originate from summing over the Newtonian part of the multipole moments.
Instabilities in oxide semiconductor transparent thin film transistors

New amorphous oxide semiconductor transparent thin film transistors (TTFTs) exhibit good mobility (5 to ≫50cm2/V-sec), are transparent, and can be processed at low temperatures. They show great promise for high performance large area electronics applications such as flexible electronics, transparent electronics, and analog current drivers for OLED displays. An overview of TFT operation, expected reliability concerns, and an up to date review of recently emerging work on the stability of these devices will be presented.
Experimental demonstration of an indoor visible light communication positioning system using dual-tone multi-frequency technique

In this paper, a visible light communication (VLC)-based indoor positioning system (IPS) employing a dedicated algorithm and using the dual-tone multi-frequency technique is proposed. Unlike the time-division multiplexing based VLC-IPS, the proposed positioning system doesn't require synchronization between the transmitter and receiver, which makes it a simple, robust and cost effective. To test the accuracy of the proposed method, an experimental test-bed using 3 white light-emitting diodes and a photomultiplier tube is developed. The results show that the proposed VLC-IPS is highly accurate with an average positioning error of about 1.6cm, which far lower than many existing indoor position systems.
Earnings Mobility in the Us: A New Look at Intergenerational Inequality

This study uses a new data set that contains the Social Security earnings histories of parents and children in the 1984 Survey of Income and Program Participation, to measure the intergenerational elasticity in earnings in the United States. Earlier studies that found an intergenerational elasticity of 0.4 have typically used only up to five-year averages of fathers' earnings to measure fathers' permanent earnings. However, dynamic earnings models that allow for serial correlation in transitory shocks to earnings imply that using such a short time span may lead to estimates that are biased down by nearly 30 percent. Indeed, by using many more years of fathers' earnings than earlier studies, the intergenerational elasticity between fathers and sons is estimated to be around 0.6 implying significantly less mobility in the U.S. than previous research indicated. The elasticity in earnings between fathers and daughters is of a similar magnitude. The evidence also suggests that family income has an even larger effect than fathers' earnings on children's future labor market success. The elasticity of earnings is higher for families with low net worth, offering some empirical support for theoretical models that predict differences due to borrowing constraints. Some evidence of a higher elasticity among blacks is found but the results are not conclusive.
Confucian Tourism Thoughts:A Study Review and Reexamination

The current study on Confucian tourism thoughts in academic circle involves the classification of tourism activities of Confucius,his tourism attitudes such as distant travel and local travel outlook,advocating cultural tourism by listening to music and watching ceremonies and natural travel by experiencing mountains and enjoying rivers and opposing inordinate tourism.They also refer to Confucian tourism aesthetic views and think that his tourism thoughts are utilitarian.The paper,based on the comment of our predecessors' results,points out many problems in our study including indefinite connotation about "tourism",irrational classification of tourism activities,forced analogy in proof and simple recognition about "figural virtue". Meanwhile,the paper reexamines Confucian tourism aesthetic views and holds the view that it is impratical and meaningless to determine whether Confucian tourism views are utilitarian or not.
Enlarged Cavum Septum Pellucidum as a Neurodevelopmental Marker in Adolescent-Onset Opiate Dependence

Objective Adolescent-onset exposure to highly addictive substances such as opiates may induce far-reaching deleterious effects on later mental and physical health. However, little is known about the neurodevelopmental basis for adolescent-onset opiate dependence. Here we examined whether having an abnormally large cavum septum pellucidum (CSP), a putative marker of limbic structural maldevelopment, is associated with opiate dependence particularly beginning in adolescence. Method The overall length of the CSP and the prevalence of abnormal enlargement of the CSP were assessed and compared in 65 opiate-dependent subjects (41 adolescent-onset opiate users and 24 adult-onset opiate users) and 67 healthy subjects. Results Opiate-dependent subjects showed a greater prevalence of abnormal CSP enlargement relative to healthy subjects (odds ratio [OR]=3.64, p=0.034). The overall CSP length of adolescent-onset opiate-dependent subjects was greater, as compared not only with healthy subjects (F1,104=11.03, p=0.001) but also with those who began opiate use during adulthood (F1,61=4.43, p=0.039). Conclusions The current findings provide the first evidence that abnormal CSP enlargement, which reflects limbic system dysgenesis of neurodevelopmental origin, may be linked to later development of opiate dependence. In addition, a greater CSP length, which indicates more severe limbic abnormalities, appears to confer higher risk for earlier onset of opiate use.
Evaluating English to Arabic Machine Translation Using BLEU

This study aims to compare the effectiveness of two popular machine translation systems (Google Translate and Babylon machine translation system) used to translate English sentences into Arabic relative to the effectiveness of English to Arabic human translation. There are many automatic methods used to evaluate different machine translators, one of these methods; Bilingual Evaluation Understudy (BLEU) method, which was adopted and implemented to achieve the main goal of this study. BLEU method is based on the assumptions of automated measures that depend on matching machine translators' output to human reference translations; the higher the score, the closer the translation to the human translation will be. Well known English sayings in addition to manually collected sentences from different Internet web sites were used for evaluation purposes. The results of this study have showed that Google machine translation system is better than Babylon machine translation system in terms of precision of translation from English to Arabic.
Injecting user models and time into precision via Markov chains

We propose a family of new evaluation measures, called Markov Precision (MP), which exploits continuous-time and discrete-time Markov chains in order to inject user models into precision. Continuous-time MP behaves like time-calibrated measures, bringing the time spent by the user into the evaluation of a system; discrete-time MP behaves like traditional evaluation measures. Being part of the same Markovian framework, the time-based and rank-based versions of MP produce values that are directly comparable. We show that it is possible to re-create average precision using specific user models and this helps in providing an explanation of Average Precision (AP) in terms of user models more realistic than the ones currently used to justify it. We also propose several alternative models that take into account different possible behaviors in scanning a ranked result list. Finally, we conduct a thorough experimental evaluation of MP on standard TREC collections in order to show that MP is as reliable as other measures and we provide an example of calibration of its time parameters based on click logs from Yandex.
Adolescent predictors of emerging adulthood milestones in youth with spina bifida.

OBJECTIVE To examine the predictive utility of demographic (illness status and SES), individual (neurocognitive functioning and intrinsic motivation), and family-based (parental intrusiveness) factors during adolescence on the achievement of emerging adulthood milestones in youth with and without spina bifida (SB). METHODS Questionnaire and observational data were collected from 14/15-year-old adolescents with SB, typically developing peers, mothers, and teachers. Emerging adulthood milestones (i.e., leaving home, attending college, employment, romantic relationship experience, and number of friendships) were assessed at ages 18/19 years in the full sample and subset of youth who graduated from high school. RESULTS Typically, developing youth were more likely to achieve milestones compared to youth with SB in the full sample but not when only high school graduates were compared. Executive function, SES, intrinsic motivation, and parental intrusiveness emerged as significant predictors for particular milestones. CONCLUSIONS Interventions targeting executive function, intrinsic motivation, and parenting behavior may facilitate achievement of emerging adulthood milestones.
String Edit Analysis for Merging Databases

The first step prior to data mining is often to merge databases from different sources. Entries in these databases or descriptions retrieved using information extraction. may use significantly different vocabularies, so one often needs to determine whether similar descriptions refer to the same item or to different items (e.g., people or goods). String edit distance is an elegant way of defining the degree of similarity between entries and can be efficiently computed using dynamic programming (Ristad and Yianilos, 1977). However, in order to achieve reasonable accuracy, most real problems require the use of extended sets of edit rules with associated costs that are tuned specifically to each data set. We present a flexible approach to string edit distance, which can be automatically tuned to different data sets and can use synonym dictionaries. Dynamic programming is used to calculate the edit distance between a pair of strings based on a set of string edit rules including a new edit rule that allows words and phrases to be deleted or substituted. A genetic algorithm is used to learn costs corresponding to each edit rule based on a small set of labeled training data. Deleting contentless words like "method" and substituting synonyms such as "ibuprofen" for "Motrin" significantly increases the algorithm’s accuracy (from 80% to 90% on a difficult sample medical data set), when costs are correctly tuned. This string edit-based matching tool is easily adapted for a variety of different cases when one needs to recognize which text strings from different information sources refer to the same item such as a person, address, medical procedure or product .
L’égalité hommes-femmes comme facteur de croissance économique : que peuvent les politiques ?

Nous connaissons aujourd’hui l’ampleur des gains qui peuvent etre associes a une plus grande egalite entre hommes et femmes. Cependant, la situation actuelle en matiere d’education et d’emploi est encore peu representative de ce fait. La parentalite continue d’avoir une influence critique sur la participation a l’emploi des femmes, leur trajectoire de carriere, et la division des tâches au sein du couple. Les politiques favorables a la conciliation entre travail et vie familiale ont alors pour objet de permettre aux parents de trouver un meilleur equilibre, et d’encourager un nombre plus important de femmes a conserver un emploi apres la naissance d’enfants. Ces politiques ne suffisent pas, neanmoins, pour permettre aux plus qualifiees d’acceder aux postes de management et de direction. L’egalite entre hommes et femmes ne depend pas que du comportement des femmes, mais necessite un profond changement culturel et organisationnel de la part de l’ensemble des acteurs, y compris des hommes, des employeurs et des politiques.
Exact recovery of low-rank plus compressed sparse matrices

Given the superposition of a low-rank matrix plus the product of a known fat compression matrix times a sparse matrix, the goal of this paper is to establish conditions under which exact recovery of the low-rank and sparse components becomes possible. This fundamental identifiability task subsumes compressed sensing and the timely low-rank plus sparse matrix recovery encountered in matrix decomposition problems. Leveraging the ability of ℓ1- and nuclear norms to recover sparse and low-rank matrices, a convex program is formulated to estimate the unknowns. Analysis and simulations confirm that the said convex program can recover the unknowns for sufficiently low-rank and sparse enough components, along with a compression matrix possessing an isometry property.
Advances in Pig Genomics and Functional Gene Discovery

Advances in pig gene identification, mapping and functional analysis have continued to make rapid progress. The porcine genetic linkage map now has nearly 3000 loci, including several hundred genes, and is likely to expand considerably in the next few years, with many more genes and amplified fragment length polymorphism (AFLP) markers being added to the map. The physical genetic map is also growing rapidly and has over 3000 genes and markers. Several recent quantitative trait loci (QTL) scans and candidate gene analyses have identified important chromosomal regions and individual genes associated with traits of economic interest. The commercial pig industry is actively using this information and traditional performance information to improve pig production by marker-assisted selection (MAS). Research to study the co-expression of thousands of genes is now advancing and methods to combine these approaches to aid in gene discovery are under way. The pig's role in xenotransplantation and biomedical research makes the study of its genome important for the study of human disease. This review will briefly describe advances made, directions for future research and the implications for both the pig industry and human health.
Social factors in group recommender systems

In this article we review the existing techniques in group recommender systems and we propose some improvement based on the study of the different individual behaviors when carrying out a decision-making process. Our method includes an analysis of group personality composition and trust between each group member to improve the accuracy of group recommenders. This way we simulate the argumentation process followed by groups of people when agreeing on a common activity in a more realistic way. Moreover, we reflect how they expect the system to behave in a long term recommendation process. This is achieved by including a memory of past recommendations that increases the satisfaction of users whose preferences have not been taken into account in previous recommendations.
A user's guide to the topological Tverberg conjecture

The well-known topological Tverberg conjecture was considered a central unsolved problem of topological combinatorics. The conjecture asserts that for any integers , and any continuous map of the -dimensional simplex there are pairwise disjoint faces such that . The conjecture was proved for a prime power , but recently counterexamples for other were found. Similarly, the -fold van Kampen–Flores conjecture holds for a prime power but not for other . The arguments form a beautiful and fruitful interplay among combinatorics, algebra, and topology. This survey presents a simplified exposition accessible to non-specialists in the area, along with some recent developments and open problems. Bibliography: 80 titles.
Note on families of pairing-friendly elliptic curves with small embedding degree

Pairing-based cryptographic schemes require so-called pairing-friendly elliptic curves, which have special properties. The set of pairing-friendly elliptic curves that are generated by given polynomials form a complete family. Although a complete family with a $\rho$-value of 1 is the ideal case, there is only one such example that is known, this was given by Barreto and Naehrig. We prove that there are no ideal families with embedding degree 3, 4, or 6 and that many complete families with embedding degree 8 or 12 are nonideal, even if we chose noncyclotomic families.
Distinct Patterns in Human Milk Microbiota and Fatty Acid Profiles Across Specific Geographic Locations

Breast feeding results in long term health benefits in the prevention of communicable and non-communicable diseases at both individual and population levels. Geographical location directly impacts the composition of breast milk including microbiota and lipids. The aim of this study was to investigate the influence of geographical location, i.e., Europe (Spain and Finland), Africa (South Africa), and Asia (China), on breast milk microbiota and lipid composition in samples obtained from healthy mothers after the 1 month of lactation. Altogether, 80 women (20 from each country) participated in the study, with equal number of women who delivered by vaginal or cesarean section from each country. Lipid composition particularly that of polyunsaturated fatty acids differed between the countries, with the highest amount of n-6 PUFA (25.6%) observed in the milk of Chinese women. Milk microbiota composition also differed significantly between the countries (p = 0.002). Among vaginally delivered women, Spanish women had highest amount of Bacteroidetes (mean relative abundance of 3.75) whereas Chinese women had highest amount of Actinobacteria (mean relative abundance 5.7). Women who had had a cesarean section had higher amount of Proteobacteria as observed in the milk of the Spanish and South African women. Interestingly, the Spanish and South African women had significantly higher bacterial genes mapped to lipid, amino acid and carbohydrate metabolism (p < 0.05). Association of the lipid profile with the microbiota revealed that monounsaturated fatty acids (MUFA) were negatively associated with Proteobacteria (r = -0.43, p < 0.05), while Lactobacillus genus was associated with MUFA (r = -0.23, p = 0.04). These findings reveal that the milk microbiota and lipid composition exhibit differences based on geographical locations in addition to the differences observed due to the mode of delivery.
Towards detection of orthogonal planes in monocular images of indoor environments

In this paper, we describe the components of a novel algorithm for the extraction of dominant orthogonal planar structures from monocular images taken in indoor environments. The basic building block of our approach is the use of vanishing points and vanishing lines imposed by the frequently observed dominance of three mutually orthogonal vanishing directions in man-made world. Vanishing points are found by an improved approach, taking no assumptions on known internal or external camera parameters. The problem of detecting planar patches is attacked using a probabilistic framework, searching for the maximum a posteriori probability (MAP) in a Markov Random Field (MRF). For this, we propose a novel formulation fusing geometric information obtained from vanishing points and features, such as rectangles and partial rectangles, together with a color-homogeneity criteria imposed by an image over-segmentation. The method was evaluated on a set of images exhibiting largely varying characteristics concerning image quality and scene complexity. Experiments show that the method, despite the variations, works in a stable manner and that its performance compares favorably to the state-of-the-art.
Social Plasticity Relies on Different Neuroplasticity Mechanisms across the Brain Social Decision-Making Network in Zebrafish

Social living animals need to adjust the expression of their behavior to their status within the group and to changes in social context and this ability (social plasticity) has an impact on their Darwinian fitness. At the proximate level social plasticity must rely on neuroplasticity in the brain social decision-making network (SDMN) that underlies the expression of social behavior, such that the same neural circuit may underlie the expression of different behaviors depending on social context. Here we tested this hypothesis in zebrafish by characterizing the gene expression response in the SDMN to changes in social status of a set of genes involved in different types of neural plasticity: bdnf, involved in changes in synaptic strength; npas4, involved in contextual learning and dependent establishment of GABAergic synapses; neuroligins (nlgn1 and nlgn2) as synaptogenesis markers; and genes involved in adult neurogenesis (wnt3 and neurod). Four social phenotypes were experimentally induced: Winners and Losers of a real-opponent interaction; Mirror-fighters, that fight their own image in a mirror and thus do not experience a change in social status despite the expression of aggressive behavior; and non-interacting fish, which were used as a reference group. Our results show that each social phenotype (i.e., Winners, Losers, and Mirror-fighters) present specific patterns of gene expression across the SDMN, and that different neuroplasticity genes are differentially expressed in different nodes of the network (e.g., BDNF in the dorsolateral telencephalon, which is a putative teleost homolog of the mammalian hippocampus). Winners expressed unique patterns of gene co-expression across the SDMN, whereas in Losers and Mirror-fighters the co-expression patterns were similar in the dorsal regions of the telencephalon and in the supracommissural nucleus of the ventral telencephalic area, but differents in the remaining regions of the ventral telencephalon. These results indicate that social plasticity relies on multiple neuroplasticity mechanisms across the SDMN, and that there is not a single neuromolecular module underlying this type of behavioral flexibility.
A New Genetic Algorithm for the Multi-classifiers Fusion Optimization

This paper describes a system managing data fusion in the Pattern Recognition (PR) field. The problem is seen from the multi decisional points of view. Several modules classification specialized on specific features sub-spaces allow the cooperation of different classification techniques. The use of neural network for heterogenous, incomplete and noised data fusion permits to specify the fusion module for a given application. Optimization of the entries configuration uses the Genetic Algorithm technic, adapted to the semantic involved in the problem.