Miracle-dz/UniFAR-FTUs huggingface dataset:
ABSTRACT Remittances , Institutions and Economic Growth

Remittances, Institutions and Economic Growth There is considerable debate regarding the relative contribution of international migrants’ remittances to sustainable economic development. While the rates and levels of officially recorded remittances to developing countries has increased enormously over the last decade, academic and policy-oriented research has not come to a consensus over whether remittances contribute to longer-term growth by building human and financial capital or degrade long-run growth by creating labor substitution and ‘Dutch disease’ effects. This paper suggests that contradictory findings have emerged when looking at the remittancesgrowth link because previous studies have not correctly controlled for endogeneity. Using Dynamic Data Panel estimates we find that remittances exert a weakly positive impact on long-term macroeconomic growth. The paper also considers the proposition that the longerterm developmental impact of remittances is increased in the presence of sound economic policies and institutions. JEL Classification: F22, O15, O47
Model order selection for collision multiplicity estimation

The collision multiplicity (CM) is the number of users involved in a collision. The CM estimation is an essential step in multi-packet reception (MPR) techniques and in collision resolution (CR) methods. We propose two techniques to estimate collision multiplicities in the context of IEEE 802.11 networks. These two techniques have been initially designed in the context of source separation. The first estimation technique is based on eigenvalue statistics. The second technique is based on the exponentially embedded family (EEF). These two techniques outperform current estimation techniques in terms of underestimation rate (UNDER). The reason for this is twofold. First, current techniques are based on a uniform distribution of signal samples whereas the proposed methods rely on a Gaussian distribution. Second, current techniques use a small number of observations whereas the proposed methods use a number of observations much greater than the number of signals to be separated. This is in accordance with typical source separation techniques.
Out-of-order retirement of instructions in sequentially consistent multiprocessors

Out-of-order retirement of instructions has been shown to be an effective technique to increase the number of in-flight instructions. This form of runtime scheduling can reduce pipeline stalls caused by head-of-line blocking effects in the reorder buffer (ROB). Wide instruction windows are very beneficial to multiprocessors that implement a strict memory model, especially when both loads and stores encounter long latencies due to cache misses, and whose stalls must be overlapped with instruction execution to overcome the memory gap. In this paper, the Validation Buffer (VB) multiprocessor architecture is proposed as a cost-effective, checkpoint-free, scalable approach to retire instructions out of program order, while still enforcing sequential consistency, and without impacting the memory hierarchy or interconnect. Experimental results show that utilizing the Validation Buffer can speed up both release and sequentially consistent in-order retirement in future multiprocessor systems by between 3% and 20%, depending on the ROB size.
As relações jocosas futebolísticas: futebol, sociabilidade e conflito no Brasil

This paper presents ethnographic data obtained during the author's fieldwork in sports bars in Rio de Janeiro, Brazil, providing the basis for a theory of 'football joking relationships. ' The notion of the 'joking relationship' is well-known to anthropological theory, due in particular to the classic article 'Parentes a plaisanteries' by Marcel Mauss, published in 1926, though its origins can be traced back to earlier works by authors such as Robert Lowie and A. R. Radcliffe-Brown. This paper connects the playful expression of feelings to the symbolic universe of football in Brazilian society. Voluntary support for a favourite club enables the fan to take part in a series of 'games' associated with football, but parallel to it, such as betting, verbal duels and challenges, which involve the symbolic logics of honour, gender and power endemic to Brazilian society.
ROBUST EIGENSTRUCTURE ASSIGNMENT: NEW APPROACH

Abstract This paper considers the problem of robust eigenstructure assignment, which involves finding a feedback gain matrix that makes the closed-loop system insensitive to perturbations or parameter variations. The main contribution of the paper is to derive a new robustness measure using the matrix perturbation theory. The new measure is used to formulate a new method for robust control of the system via state or output feedback. The freedom provided by eigenvalue assignment of multivariable systems is applied to optimize the new index using genetic algorithms. The new results expressed in this paper confirm the previously derived results on robust eigenstructure assignment. In the case of state feedback design, the new robustness index verifies a previously proposed robustness measure. A numerical example is presented to illustrate the effectiveness of the proposed method.
Ginger and Its Pungent Constituents Non-Competitively Inhibit Serotonin Currents on Visceral Afferent Neurons

Nausea and emesis are a major side effect and obstacle for chemotherapy in cancer patients. Employ of antiemetic drugs help to suppress chemotherapy-induced emesis in some patients but not all patients. Ginger, an herbal medicine, has been traditionally used to treat various kinds of diseases including gastrointestinal symptoms. Ginger is effective in alleviating nausea and emesis, particularly, for cytotoxic chemotherapy drug-induced emesis. Ginger-mediated antiemetic effect has been attributed to its pungent constituents-mediated inhibition of serotonin (5-HT) receptor activity but its cellular mechanism of action is still unclear. Emetogenic chemotherapy drugs increase 5-HT concentration and activate visceral vagal afferent nerve activity. Thus, 5-HT mediated vagal afferent activation is essential to provoke emesis during chemotherapy. In this experiment, water extract of ginger and its three major pungent constituent's effect on 5-HT-evoked responses were tested on acutely dispersed visceral afferent neurons with patch-clamp methods. The ginger extract has similar effects to antiemetic drug ondansetron by blocking 5-HT-evoked responses. Pungent constituents of the ginger, [6]-shogaol, [6]-gingerol, and zingerone inhibited 5-HT responses in a dose dependent manner. The order of inhibitory potency for these compounds were [6]-shogaol>[6]-gingerol>zingerone. Unlike well-known competitive 5-HT3 receptor antagonist ondansetron, all tested ginger constituents acted as non-competitive antagonist. Our results imply that ginger and its pungent constituents exert antiemetic effects by blocking 5-HT-induced emetic signal transmission in vagal afferent neurons.
A Biased Summary System and Its Implementation Technology

A biased summary system is a significant research task in the field of natural language processing. The implementation method of biased summary system is proposed in this paper based on a conception base that is used to expand conception. During the process of generating summary, weighting method correlated to subject and user's bias is discussed and the strategy of selecting sentences to generate summary is discussed too. It's proved by experiment that for a large proportion of articles this system can generate a biased summary which can satisfy user's bias and reflect the subject of the whole article.
The Relationship between Body Image and Depressed Mood in Adolescence: A 5-year Longitudinal Panel Study

Much research interest has been devoted to reveal the psychosocial processes associated with the development of depressive symptoms during adolescence. One of the important factors that has been studied is body image. In a 5-year longitudinal investigation, we revealed and discussed the relationship between body image and depressed mood in a cohort of adolescents at ages 13, 15 and 18. Girls reported on average higher depressed mood levels and more negative body image than boys at all ages. However, the correlations between the variables were nearly as strong for boys as for girls. Structural equation modelling revealed that body image predicted change in depressed mood both for boys and girls, but at different ages. In contrast, we did not find any support for the existence of causal effects of depressed mood upon body image.
3 TABU SEARCH FOR GRAPH COLORING , T-COLORINGS AND SET T-COLORINGS Raphaël Dorne

In this paper, a generic tabu search is presented for three coloring problems: graph coloring, T-colorings and set T-colorings. This algorithm integrates important features such as greedy initialization, solution re-generation, dynamic tabu tenure, incremental evaluation of solutions and constraint handling techniques. Empirical comparisons show that this algorithm approaches the best coloring algorithms and outperforms some hybrid algorithms on a wide range of benchmarks. Experiments on large random instances of T-colorings and set T-colorings show encouraging results.
From the SelectedWorks of Joseph P Robinson 2013 High-throughput secondary screening at the single-cell level

We have developed an automated system for drug screening using a single-cell–multiple functional response technology. The approach uses a semiautomated preparatory system, high-speed sample collection, and a unique analytical tool that provides instantaneous results for compound dilutions using 384-well plates. The combination of automation and rapid robotic sampling increases quality control and robustness. High-speed flow cytometry is used to collect single-cell results together with a newly defined analytical tool for extraction of IC 50 curves for multiple assays per cell. The principal advantage is the extreme speed of sample collection, with results from a 384-well plate being completed for both collection and data processing in less than 10 min. Using this approach, it is possible to extract detailed drug response information in a highly controlled fashion. The data are based on single-cell results, not populations. With simultaneous assays for different functions, it is possible to gain a more detailed understanding of each drug/compound interaction. Combined with integrated advanced data processing directly from raw data files, the process from sampling to analytical results is highly intuitive. Direct PubMed links allow review of drug structure and comparisons with similar compounds.
Issues of Change Detection in Animated Choropleth Maps

One primary utility of animated maps is their ability to depict change over time and space; unfortunately, recent research suggests that humans frequently fail to perceive changes within dynamic graphics. However, different types of dynamic graphics include different manifestations of change. For example, an animated proportional-symbol map possesses different change properties than an animated choropleth map. This article examines issues of change on animated choropleth maps. We identify relevant limitations of the human visual system that pertain to animated map reading, including change blindness and foveal versus peripheral attention, and introduce methods to quantify the magnitude of change that separates individual scenes within choropleth animations. These methods are useful for measuring and describing changes that confront users of animated choropleth maps. We also characterize the transitional behaviours of enumeration units and discuss the influences of data classification and other cartographic controls on change within animated choropleth maps.
Mono-static MIMO radar array design for interferences suppressing

The multiple-input multiple-output (MIMO) radar has drawn considerable interest recently. Many notable research results have been obtained, such as virtual receive array (VRA) concept for orthogonal waveform transmitting MIMO radar. The mono-static MIMO radar proposed in this paper shares the same transmit and receive antenna array, so it is very similar to conventional transmit/receive (T/R) digital beamforming (DBF) radar. The VRA concept can be easily extended to T/R DBF radar system by re-designing the antenna array structure. In this paper, an optimal antenna array design for mono-static MIMO radar is proposed in order to improve the interferences rejection capabilities. The minimum redundancy array (MRA) concept is also used to maximize the antenna virtual aperture for an array of given numbers of elements. Simulation results show that compared with the T/R DBF radar, the proposed monostatic MIMO radar can effectively improve the interferences rejection capabilities, especially the mainlobe interferences rejection capabilities. Moreover, mono-static MIMO radar with MR VRA has better interferences rejection performance than mono-static MIMO radar with uniform VRA.
Feeding the City: From Street Market to Liberal Reform in Salvador, Brazil, 1780-1860 by Richard Graham (review)

1 François Weil et Marieke Polfliet ont ainsi montré que malgré la perte territoriale de la Louisiane par la France, La Nouvelle-Orléans continuait d’attirer de nombreux migrants français. Voir François WEIL, « The Purchase and the Making of French Louisiana », in P. J. KASTOR et F. WEIL (dir.), Empires of the Imagination: Transatlantic Histories of the Louisiana Purchase, Charlottesville, University of Virginia Press, 2009, p. 301-326 ; Marieke POLFLIET, « Émigration et politisation. Les Français de New York et La Nouvelle-Orléans dans la première moitié du XIXe siècle (1803-1860) », thèse de doctorat, Université de Nice-Sophia Antipolis, 2013.
The Tea4–PP1 landmark promotes local growth by dual Cdc42 GEF recruitment and GAP exclusion

ABSTRACT Cell polarization relies on small GTPases, such as Cdc42, which can break symmetry through self-organizing principles, and landmarks that define the axis of polarity. In fission yeast, microtubules deliver the Tea1–Tea4 complex to mark cell poles for growth, but how this complex activates Cdc42 is unknown. Here, we show that ectopic targeting of Tea4 to cell sides promotes the local activation of Cdc42 and cell growth. This activity requires that Tea4 binds the type I phosphatase (PP1) catalytic subunit Dis2 or Sds21, and ectopic targeting of either catalytic subunit is similarly instructive for growth. The Cdc42 guanine-nucleotide-exchange factor Gef1 and the GTPase-activating protein Rga4 are required for Tea4–PP1-dependent ectopic growth. Gef1 is recruited to ectopic Tea4 and Dis2 locations to promote Cdc42 activation. By contrast, Rga4 is locally excluded by Tea4, and its forced colocalization with Tea4 blocks ectopic growth, indicating that Rga4 must be present, but at sites distinct from Tea4. Thus, a Tea4–PP1 landmark promotes local Cdc42 activation and growth both through Cdc42 GEF recruitment and by creating a local trough in a Cdc42 GAP.
Cheating behavior among high school and college students: Student characteristics and situational factors

The growing recognition of cheating as a cross-cultural problem urges educators and researchers to investigate “what is the motivation for such academic behavior. This paper reports the results of two different investigations. The first survey study investigated the relationship between achievement goal orientation and self-reported copying behaviour among college students (N = 2007) enrolled in five different academic programs. The volunteer participants were college students enrolled in three public universities and two vocational/technical colleges in Thailand. We found that compared to humanities students, management, engineering, science, and vocational students were significantly reported significantly higher frequency of copying behaviour. The second survey study tested a conceptual model of the combined influence of individual attributes—materialism, religiosity, achievement goals—on high school students’ propensity to cheat, their selfreported cheating behavior, and the influence of gender and curricular context. Participants were ninth, tenth, eleventh, and twelfth grade high school students from central Thailand (N = 2123). The path analysis showed that materialism and performance avoidance goals were positively associated with both student willingness to cheat and the frequency of self-reported cheating behaviour. We use self-determination and achievement goal theories to interpret the effects of multiple goals, values and institutional environment on academic behaviour of students, and the influence of curricular context.
On the Power Amplifier Nonlinearity in MIMO Transmit Beamforming Systems

In this paper, single-carrier multiple-input multiple-output (MIMO) transmit beamforming (TB) systems in the presence of high-power amplifier (HPA) nonlinearity are investigated. Specifically, due to the suboptimality of the conventional maximal ratio transmission/maximal ratio combining (MRT/MRC) under HPA nonlinearity, we propose the optimal TB scheme with the optimal beamforming weight vector and combining vector, for MIMO systems with nonlinear HPAs. Moreover, an alternative suboptimal but much simpler TB scheme, namely, quantized equal gain transmission (QEGT), is proposed. The latter profits from the property that the elements of the beamforming weight vector have the same constant modulus. The performance of the proposed optimal TB scheme and QEGT/MRC technique in the presence of the HPA nonlinearity is evaluated in terms of the average symbol error probability and mutual information with the Gaussian input, considering the transmission over uncorrelated quasi-static frequency-flat Rayleigh fading channels. Numerical results are provided and show the effects on the performance of several system parameters, namely, the HPA parameters, numbers of antennas, quadrature amplitude modulation modulation order, number of pilot symbols, and cardinality of the beamforming weight vector codebook for QEGT.
RESH: A Secure Authentication Algorithm Based on Regeneration Encoding Self-Healing Technology in WSN

In the real application environment of wireless sensor networks (WSNs), the uncertain factor of data storage makes the authentication information be easily forged and destroyed by illegal attackers. As a result, it is hard for secure managers to conduct forensics on transmitted information in WSN. This work considers the regeneration encoding self-healing and secret sharing techniques and proposes an effective scheme to authenticate data in WSN. The data is encoded by regeneration codes and then distributed to other redundant nodes in the form of fragments. When the network is attacked, the scheme has the ability against tampering attack or collusion attack. Furthermore, the damaged fragments can be restored as well. Parts of fragments, encoded by regeneration code, are required for secure authentication of the original distributed data. Experimental results show that the proposed scheme reduces hardware communication overhead by five percent in comparison. Additionally, the performance of local recovery achieves ninety percent.
Index policies for demand response under uncertainty

Uncertainty is an intrinsic aspect of demand response because electrical loads are subject to many random factors and their capabilities are often not directly measurable until they have been deployed. Demand response algorithms must therefore balance utilizing well-characterized, good loads and learning about poorly characterized but potentially good loads; this is a manifestation of the classical tradeoff between exploration and exploitation. We address this tradeoff in a restless bandit framework, a generalization of the well-known multi-armed bandit problem. The formulation yields index policies, in which loads are ranked by a scalar index and those with the highest are deployed. The policy is particularly appropriate for demand response because the indices have explicit analytical expressions that may be evaluated separately for each load, making them both simple and scalable. We numerically evaluate the performance of the index policy, and discuss implications of the policies in demand response.
A Benzene-Thermal Synthetic Route to Nanocrystalline GaN

A thermal reaction of Li3N and GaCl3 in which benzene was used as the solvent under pressure has been carried out for the preparation of 30-nanometer particles of gallium nitride (GaN) at 280°C. This temperature is much lower than that of traditional methods, and the yield of GaN reached 80%. The x-ray powder diffraction pattern indicated that sample was mainly hexagonal-phase GaN with a small fraction of rocksalt-phase GaN, which has a lattice constant a = 4.100 angstroms. This rocksalt structure, which had been observed previously only under high pressure (at least 37 gigapascals) was observed directly with high-resolution electron microscopy.
Force-Based Representation for Non-Rigid Shape and Elastic Model Estimation

This paper addresses the problem of simultaneously recovering 3D shape, pose and the elastic model of a deformable object from only 2D point tracks in a monocular video. This is a severely under-constrained problem that has been typically addressed by enforcing the shape or the point trajectories to lie on low-rank dimensional spaces. We show that formulating the problem in terms of a low-rank force space that induces the deformation and introducing the elastic model as an additional unknown, allows for a better physical interpretation of the resulting priors and a more accurate representation of the actual object’s behavior. In order to simultaneously estimate force, pose, and the elastic model of the object we use an expectation maximization strategy, where each of these parameters are successively learned by partial M-steps. Once the elastic model is learned, it can be transfered to similar objects to code its 3D deformation. Moreover, our approach can robustly deal with missing data, and encode both rigid and non-rigid points under the same formalism. We thoroughly validate the approach on Mocap and real sequences, showing more accurate 3D reconstructions than state-of-the-art, and additionally providing an estimate of the full elastic model with no a priori information.
Sampling-based incremental information gathering with applications to robotic exploration and environmental monitoring

We propose a sampling-based motion-planning algorithm equipped with an information-theoretic convergence criterion for incremental informative motion planning. The proposed approach allows dense map representations and incorporates the full state uncertainty into the planning process. The problem is formulated as a constrained maximization problem. Our approach is built on rapidly exploring information-gathering algorithms and benefits from the advantages of sampling-based optimal motion-planning algorithms. We propose two information functions and their variants for fast and online computations. We prove an information-theoretic convergence for an entire exploration and information-gathering mission based on the least upper bound of the average map entropy. A natural automatic stopping criterion for information-driven motion control results from the convergence analysis. We demonstrate the performance of the proposed algorithms using three scenarios: comparison of the proposed information functions and sensor configuration selection, robotic exploration in unknown environments, and a wireless signal strength monitoring task in a lake from a publicly available dataset collected using an autonomous surface vehicle.