Miracle-dz/UniFAR-FTUs huggingface dataset:
Welfare Benefits and Ethnic Minorities: Transfers from Australia to the United-Kingdom

Avec une population nee pour le quart a l’etranger, l’Australie est confrontee aux questions d’integration des minorites de maniere particulierement aigue. La maniere dont elle y a repondu peut certainement interesser des pays concernes par ces questions mais de facon moins pressante. Des mesures telles que la mise en place d’un service d’interpretariat, la traduction des differentes plaquettes d’information mises a disposition des allocataires dans les agences Centrelink, l’agence publique responsable du versement des aides sociales, avaient ainsi precisement retenu l’attention du gouvernement britannique a l’epoque de leur mise en œuvre. L’impossibilite d’acceder aux aides sociales durant les deux premieres annees suivant l’arrivee sur le sol australien en tant que resident permanent mise en place dans les annees 1990 avait egalement ete relevee dans les debats parlementaires britanniques. Cet article propose donc d’analyser comment l’Australie a pu servir de modele au Royaume-Uni dans le domaine des aides sociales et plus particulierement celles destinees aux minorites ethniques.
Interest in early shared reading: Its relation to later language and letter knowledge in children with and without risk for reading difficulties

Children’s interest in shared reading (14 and 24 months) and its relation to their later language and letter knowledge (age 3;6) were investigated in a follow-up study. The participants were 156 children and their mothers. Half of these children (N = 74) came from families where one or both of the parents were diagnosed as reading disabled (the at-risk group), the other half (N = 82) belonged to the control group. The results revealed that children with and without familial risk for reading difficulties did not differ from each other in the interest they showed towards shared reading. Interestingly, only children in the control group appeared to benefit from shared reading interactions in their later language and letter knowledge.
Single-Transmission Distributed Detection via Order Statistics

Consider a sensor network made of remote nodes connected to a common fusion center. In a recent work, Blum and Sadler proposed the idea of ordered transmissions-sensors with more informative measurements deliver their messages first-and they proved that optimal detection performance can be achieved using only a subset of the measurements available to the system. Taking to one extreme this approach, we show that using only one transmission the detection error can be made as small as desired, provided that the network size n is large enough. Indeed, we design a distributed detection scheme and prove its asymptotic consistency with respect to n, when the decision is made using just one-but the best-out of n collected samples.
Describing variations of the Fisher-matrix across parameter space

Forecasts in cosmology, both with Monte-Carlo Markov-chain methods and with the Fisher matrix formalism, depend on the choice of the fiducial model because both the signal strength of any observable as well as the model nonlinearities linking observables to cosmological parameters vary in the general case. In this paper we propose a method for extrapolating Fisher-forecasts across the space of cosmological parameters by constructing a suitable ba- sis. We demonstrate the validity of our method with constraints on a standard dark energy model extrapolated from a {\Lambda}CDM-model, as can be expected from 2-bin weak lensing to- mography with a Euclid-like survey, in the parameter pairs $(\Omega_\text{m},\sigma_8)$, $(\Omega_\text{m}, w_0)$ and $(w_0, w_\text{a})$. Our numerical results include very accurate extrapolations across a wide range of cosmo- logical parameters in terms of shape, size and orientation of the parameter likelihood, and a decomposition of the change of the likelihood contours into modes, which are straightforward to interpret in a geometrical way. We find that in particular the variation of the dark energy figure of merit is well captured by our formalism.
The nutritional and metabolic indices in rats fed cholesterol‐containing diets supplemented with durian at different stages of ripening

The aim of this investigation was to assess the nutritional and health properties of Mon Thong durian cultivar at different stages of ripening. The assessment was carried out in vitro and in vivo. The contents of dietary fibers, minerals and trace metals at different stages of ripening were comparable. Total polyphenols (mgGAE/100 g FW) and flavonoids (mg CE/100 gFW) in ripe durian (358.8 ± 31.4 and 95.4 ± 9.3) were significantly higher (p < 0.05) than in mature (216.1 ± 1 and 39.9 ± 3.8) and overripe (283.3 ± 26.2 and 53.5 ± 4.9).
An approach to controlling user models and personalization effects in recommender systems

Personalization nowadays is a commodity in a broad spectrum of computer systems. Examples range from online shops recommending products identified based on the user's previous purchases to web search engines sorting search hits based on the user browsing history. The aim of such adaptive behavior is to help users to find relevant content easier and faster. However, there are a number of negative aspects of this behavior. Adaptive systems have been criticized for violating the usability principles of direct manipulation systems, namely controllability, predictability, transparency, and unobtrusiveness. In this paper, we propose an approach to controlling adaptive behavior in recommender systems. It allows users to get an overview of personalization effects, view the user profile that is used for personalization, and adjust the profile and personalization effects to their needs and preferences. We present this approach using an example of a personalized portal for biochemical literature, whose users are biochemists, biologists and genomicists. Also, we report on a user study evaluating the impacts of controllable personalization on the usefulness, usability, user satisfaction, transparency, and trustworthiness of personalized systems.
Effects of Simulation on Student Satisfaction With a Capstone Course

Simulations have been identified as an effective learning tool to supplement existing traditional methods of instruction with a range of benefits. This article presents an empirically tested model of student learning experience using a simulation within a hotel and tourism management capstone course and explores the impact of simulation use on student satisfaction. Problems identified in the literature include poorly designed measures, weak theoretical frameworks, and a lack of methodological rigor, which are addressed. Overall, the results indicate that simulations can be an effective learning method to increase students’ satisfaction and enhance university course quality in higher education.
Clinical utility of phentermine/topiramate (Qsymia™) combination for the treatment of obesity

Qsymia™ (Vivus Inc, Mountain View, CA, USA), a combination of phentermine and delayed-release topiramate, has been available in the US since September 2012 for the treatment of obesity. Phentermine is an anorexigenic agent, which is approved for the short-term treatment of obesity, while topiramate is approved for nonweight loss indications – seizure disorders and migraine prophylaxis. The amount of weight loss achieved with combination therapy is of a greater magnitude than what could be achieved with either agent alone. Adverse events that occur with the combination therapy are in line with the known side effect profiles of the constituent drugs; teratogenicity, a slight increase in heart rate, psychiatric and cognitive adverse effects, and metabolic acidosis are concerns.
A Tailored Approach to Catheter Ablation of Paroxysmal Atrial Fibrillation

Background— Because the genesis of atrial fibrillation (AF) is multifactorial and variable, an ablation strategy that involves pulmonary vein isolation and/or a particular set of ablation lines may not be equally effective or efficient in all patients with AF. A tailored strategy that targets initiators and drivers of AF is a possible alternative to a standardized lesion set. Methods and Results— Catheter ablation was performed in 153 consecutive patients (mean age, 56±11 years) with symptomatic paroxysmal AF with the use of an 8-mm tip radiofrequency ablation catheter. The esophagus was visualized with barium. The pulmonary veins and left atrium were mapped during spontaneous or induced AF. Arrhythmogenic pulmonary veins were isolated or encircled. If AF was still present or inducible, complex electrograms in the left atrium, coronary sinus, and superior vena cava were targeted for ablation. The end point of ablation was absence of frequent atrial ectopy and spontaneous AF during isoproterenol infusion and noninducibility of AF. Routine energy applications near the esophagus were avoided. During follow-up, left atrial flutter developed in 19% of patients and was still present in 10% at >12 weeks of follow-up. A repeat ablation procedure was performed in 18% of patients. During a mean follow-up of 11±4 months, 77% of patients were free from AF and/or atrial flutter without antiarrhythmic drug therapy. Pericardial tamponade or transient neurological events occurred in 2% of procedures. Conclusions— A tailored ablation strategy that only targets triggers and drivers of AF is feasible and eliminates paroxysmal AF in ≈80% of patients.
Exclusionary Discipline Practices Across Students' Racial/Ethnic Backgrounds and Disability Status: Findings from the Pacific Northwest

We examined 2009-2010 data on exclusionary discipline practices from one state in the Pacific Northwest of the United States across students' racial/ ethnic backgrounds and disability status. Our focus was on proportionate representation in exclusionary discipline actions and in the duration of those disciplinary actions. Descriptive outcomes indicated that among students with disability American Indian/Alaska Native (AI/AN) students were over-represented in removal to alternative education. Among students without a disability, Hispanic students were most notably over-represented in all exclusionary discipline practices. African-American students with and without disability lost approximately twice as many days as White students to exclusionary discipline. Follow-up Chi-Square tests showed that non-White students were statistically significantly over-represented in most exclusionary practices. ANOVA results indicated that both disability status and race significantly impacted the duration of exclusions. Recommendations for future research are provided.
Factors influencing the duration of work-related disability: a population-based study of Washington State workers' compensation.

OBJECTIVES The purpose of this study was to examine factors predictive of duration of work-related disability. METHODS Multivariate survival analysis techniques were used to conduct a population-based, retrospective cohort study on a random sample of 28,473 workers' compensation claims from Washington State filed for injuries occurring in 1987 to 1989. The principal outcome measure was length of time for which compensation for lost wages was paid, used as a surrogate for duration of temporary total disability. RESULTS The findings suggest that, even after adjusting for severity of injury, older age, female gender, and a diagnosis of carpal tunnel syndrome or back/neck sprain significantly predict longer duration of disability. Other predictors that were stable and significant, but involved lower magnitudes of effect included divorced marital status, firm size of fewer than 50 employees, higher country unemployment rates, and construction and agricultural work. CONCLUSIONS Greater disability prevention efforts targeting these higher risk subgroups could have significant economic and public health effects. The greatest impact may be on claimants who remain disabled at 6 months after an injury that did not require hospitalization.
EFFECT OF ANAEROBIC DIGESTION ON STRUVITE PRODUCTION FOR NUTRIENT REMOVAL FROM SWINE WASTE PRIOR TO LAND APPLICATION

Swine production facilities are becoming larger in size and are concentrated in smaller geographical areas. Additionally, there is an increasing trend to base manure land application rates on crop phosphorus requirements rather than crop nitrogen requirements alone. These factors have resulted in a need to find a feasible method for removing available phosphorus from swine waste prior to land application. Concentrating and transporting excess phosphorus to phosphorus deficient cropping areas may be economically viable. Forced precipitation of struvite (MgNH4PO46H2O) is one option for phosphorus concentration and removal. Using raw swine manure, testing has demonstrated that up to 92% of the reactive phosphorus (PO4) can be removed by the addition of Mg to the waste in the form of MgO and by heating to 35 °C to force the formation of struvite. Up to 98% of the reactive phosphorus (PO4) can be removed by using the same procedure with anaerobically digested swine manure.
STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Prediction

Accurate traffic flow prediction is of great importance in Intelligent Transportation System (ITS) for improving traffic efficiency, reducing congestion and so on. However, due to the complex spatial and temporal dependencies, achieving the accurate prediction is challenging. Traditional attention-based networks for traffic flow prediction typically use sine and cosine functions to do position encoding, which fail to capture the spatial and temporal dependencies and do not contain the graph structure information. In this paper, we propose a novel model named Spatial-Temporal Graph ATtention networks (STGAT), which leverages structure-aware self-attention mechanism to predict future traffic flow. The model introduces temporal multi-head self-attention modules, and designs spatial multi-head graph self-attention modules with structure-aware graph filters to extract more temporal and spatial information. Besides, our model adopts temporal and spatial position embedding layers to capture the spatial-temporal dependencies in traffic flow data. Experimental results show that STGAT shows better prediction performance than the state-of-art models on three real-world datasets PEMS04, PEMS07 and PEMS08. For example, we observe up to 10.38% improvement in terms of Mean Absolute Percentage Error (MAPE) compared with the well-known model ASTGNN.
Inertial/GPS Integrated Geolocation System for Detection and Recovery of Buried Munitions

Abstract : The extent of buried munitions and explosives of concern (MEC), or unexploded ordnance (UXO), creates a serious environmental hazard in the U.S., especially where military bases and ranges are being converted to civilian use (millions of acres). The cleanup of these sites presents a formidable challenge to DoD, most prominently in terms of accurate and reliable detection and classification. Discrimination between MEC and relatively safe background clutter (scrap metal) is a monumental problem that depends on the instrument technology, as well as on the processing methodology that inverts the detection data to infer MEC. Reducing the number of false alarms in the detection process can save billions of dollars in the cleanup effort. That process and the consequent savings rely in large part on precise three-dimensional positioning (geolocation) of the detection sensors both to aid in the inversion of the data in post-survey data processing and in the mapping and recovery of locations with positive identification. Although the detection instrument technology has advanced significantly in the last decade, it is often still the geolocation technology that defines or limits the accuracy of MEC detection. The objective of this project was to develop and test novel geolocation algorithms applied to scenarios typical of MEC detection and recovery, where the precision goals are 1 cm and 10 cm for three-dimensional positioning of magnetic and electro-magnetic detection devices. The principal geolocation system was assumed to be based on inertial measurement units (IMUs) integrated with differential GPS. The GPS receiver presumably is of geodetic quality commensurate with the precision goals and serves as the reference system.
170 The multilevel analysis of students ’ achievement in learning the Chinese language Meso level ( Between students )

A three-level hierarchical or multilevel model is employed to examine the factors that influence students’ achievement in learning the Chinese language. The factors might be many or various, such as school factors, factors related to teachers, parents and peers. This study, however, only examines student level factors. The first level of the three-level multilevel model is the within-student level; the second level is betweenstudent level; and the third level is betweenclass level. The results show that different factors at different levels of the model have effects on the students’ achievement. Interaction effects are also observed between some variables and the achievement.
Instantonic methods for quantum tunneling in finite size

The instantonic approach for a f 4 model potential is reexamined in the asymptotic limit. The path integral of the system is derived in semiclassical approximation expanding the action around the classical background. It is shown that the singularity in the path integral, arising from the zero mode in the quantum fluctuation spectrum, can be tackled only assuming a finite (although large) system size. On the other hand the standard instantonic method assumes the (anti)kink as classical background. But the (anti)kink is the solution of the Euler-Lagrange equation for the infinite size system. This formal contradiction can be consistently overcome by the finite size instantonic theory based on the Jacobi elliptic functions formalism. In terms of the latter I derive in detail the classical background which solves the finite size Euler-Lagrange equation and obtain the general path integral in finite size. Both problem and solution offer an instructive example of fruitful interaction between mathematics and physics.
A Survey to Lightweight Cryptography World

Lightweight cryptography is introduced by researchers to be implemented in resource-constrained devices that has minimal computation ability and low battery capacity. This is because conventional cryptographic algorithms such as AES, RSA and DES are overkilling these resource-constrained devices as their hardware is not able to support the computation. This paper will talk about the cryptography's concept, the primitives of lightweight cryptography and different types of lightweight cryptography. On top of that, this paper will also discuss the attacks used by adversaries to crack the encrypted information and the evaluation criteria used to assess the performance of a lightweight cryptography.
Experimental tests of a theoretical method for predicting light scattering by aggregates.

A recent method for predicting light scattering by random aggregates of particles is experimentally examined. This approximate method is here tested in terms of its ability to predict the effects of aggregation of latex spheres of five different sizes on nine different transmitted and scattered light fluxes. In each case two degrees of aggregation were used. For an aggregated sample, each photometric quantity was measured and compared to its counterpart for an unaggregated one. The degrees of aggregation of the samples were estimated microscopically. These data were used with the method to calculate theoretical photometric effects of aggregation. The predictions are found to agree approximately with experimental findings. The results support the method.
A DNA fragment from the human X chromosome short arm which detects a partially homologous sequence on the Y chromosomes long arm.

An X linked human DNA fragment (named DXS31 ) which detects partially homologous sequences on the Y chromosome has been isolated. Regional localisation of the two sex linked sequences was determined using a panel of rodent-human somatic cell hybrids. The X specific sequence is located at the tip of the short arm ( Xp22 .3-pter), i.e. within or close to the region which pairs with the Y chromosome short arm at meiosis. However the Y specific sequence is located in the heterochromatic region of the long arm ( Yq11 -qter) and lies outside from the pairing region. DNAs from several XX male subjects were probed with DXS31 and in all cases a double dose of the X linked fragment was found, and the Y specific fragment was absent. DXS31 detects in chimpanzee a male-female differential pattern identical to that found in man. However results obtained in a more distantly related species, the brown lemur, suggest that the sequences detected by DXS31 in this species might be autosomally coded. The features observed with these X-Y related sequences do not fit with that expected from current hypotheses of homology between the pairing regions of the two sex chromosomes, nor with the pattern observed with other X-Y homologous sequences recently characterized. Our results suggest also that the rule of conservation of X linkage in mammals might not apply to sequences present on the tip of the X chromosome short arm, in bearing with the controversial issue of steroid sulfatase localisation in mouse.
AREA MINIMIZED FFT ARCHITECTURE USING SPLIT RADIX ALGORITHM FOR LENGTH L = RADIX-3 AND RADIX-2 BX 3 C Karthick

Fast Fourier Transform (FFT) is a most proficient algorithm for computing the Discrete Fourier Transform (DFT). FFT is specially used in analysis of autocorrelation, disambiguation, recognition of patterns, statistics and data analysis. The new proposed algorithm for computing a length L=2Bx3C FFT. It is used to minimize the twist of hardware depict and arithmetic operations. Additionally, the propound fragment design can accomplish by the mixer of radix-3 and radix-2Bx3C FFT algorithm. It is entirely changeable of Split Radix Fast Fourier Transform (SRFFT) algorithm. As a consequence, the new proffer design of length L is used to belittle the area of system on chips and mathematical calculation. More compromise can achieve by combining the two architectures implemented in the same FFT. It naturally furnishes a broad selection of accessible length of FFT’s.
Characterizing Performance Impacts of Subnormal Numbers on Vector Instructions and Transcendental Functions

We investigated the performance impact of IEEE-754 double-precision floating-point subnormal numbers, focusing on vector arithmetic and transcendental functions across Intel, AMD, and HiSilicon CPUs. We developed a benchmark tool, SNBench, and uncovered that subnormal numbers can extend instruction latency and reciprocal throughput by up to 162 cycles on Intel, 13 cycles on AMD, and 2 cycles on HiSilicon processors. The impact is more pronounced in transcendental functions, with performance losses reaching up to 562 cycles on Intel, 404 cycles on AMD, and 62 cycles on HiSilicon CPUs.
Societal innovation at the interface of the state and civil society

The need to adapt to economic globalization and “wicked” problems such as climate change and poverty presents enormous challenges to modern developed societies. These challenges call for new solutions, not only in the form of technological or business innovations, but also through society-wide reform and renewal. In this paper, we outline a societal innovation framework to better understand the stage on which these societal challenges are being played out. Our approach builds on the classical view that considers innovation, an (radical or incremental) improvement that is both novel in its context and deployed by people. These societal innovations change the interface of the state and civil society for stakeholder benefit.