Miracle-dz/UniFAR-FTUs huggingface dataset:
Seeing through the Effects of Crustal Assimilation to Assess the Source Composition beneath the Southern Lesser Antilles Arc

Assessing the impact of crustal assimilation on the composition of oceanic arc lavas is important if source composition is to be correctly interpreted. This is particularly the case in the Lesser Antilles where lavas encompass a very large range in radiogenic isotope compositions. Here we present new 176Hf/177Hf and trace element data for a suite of samples from St Lucia in the southern Lesser Antilles arc where assimilation of sediments located within the arc crust has been shown to influence significantly Sr–Nd–Pb isotope compositions. We show that a high rate of assimilation (r = 0·8) of sediment is responsible for the co-variation of Th/Th*, La/Sm, 87Sr/86Sr, 206/207/208Pb/204Pb, 143Nd/144Nd and 176Hf/177Hf towards extreme ‘continental’ compositions. Lavas that escaped sediment assimilation have a typical oceanic arc signature and provide the best indication of mantle source characteristics beneath St Lucia. They display similar Ba/Th, La/Sm and Nd isotopic compositions to lavas further north in the arc, but with slightly more radiogenic Sr and Pb. Addition of less than 2% of local bulk subducting sediment, or less than 3·5% of sediment partial melt or fluid, to the mantle wedge can explain these compositions; these estimates are similar to those previously proposed for the northern arc. After correction for the effects of sediment assimilation, the St Lucia lavas have only slightly more radiogenic Pb and Sr isotope signatures compared with the northern islands; this can be attributed to differences in the isotopic composition of the local subducting sediment rather than to greater sediment input, as has been previously proposed. Comparison of St Lucia with the other southern Lesser Antilles islands suggests that similar mantle source compositions exist beneath Martinique, St Vincent and perhaps Bequia, whereas a more ‘continental’ source might characterize Ile de Caille, Kick ’em Jenny and Grenada.
The Role of Post-listening Vocabulary-focused Activities and Multimedia Presentation on Receptive and Productive Vocabulary Development

Designing appropriate materials and activities to enhance vocabulary learning is one of the primary goals of language courses. Among the claims about efficient pedagogical tasks is the Involvement Load Hypothesis (Laufer & Hulstijn, 2001) according to which vocabulary development is contingent on the amount of cognitive process a task involves. Building on the previous research on this hypothesis, this study seeks to explore the extent to which three post-listening tasks of different involvement loads along with single-versus dual-mode glosses affect receptive and productive vocabulary learning of advanced English as a foreign language (EFL) learners. The participants (n = 204) listened to an expository text while twenty lexical items were presented through text-only or text-plus-picture glosses. Subsequently, they were assigned to one of the task type groups (sentence writing, gap-fill, and paragraph writing). Paribakht and Wesche’s (1997) Vocabulary Knowledge Scale was employed as the pre and post-tests. The results pointed to the efficacy of dual-mode over single-mode glosses concerning both receptive and productive vocabulary learning. The sentence writing task produced the highest scores in the vocabulary tests, whereas the gap-fill and paragraph writing tasks did not significantly differ. Hence, the results only partially confirmed the Involvement Load Hypothesis. The current study corroborates other studies verifying the modality effect on vocabulary learning and suggests that task type is a significant factor in EFL vocabulary learning.
EPIDEMIOLOGIA DO TABAGISMO EM UM MUNICÍPIO AMAZÔNICO E IMPLICAÇÕES PARA O CONTROLE

Cerca de 1,1 bilhoes de pessoas fumam e 5,4 milhoes de mortes anuais estao associadas com o tabaco. Em 2013 o Brasil possuia 27,9 milhoes de fumantes e destes, 200 mil foram a obito. O objetivo dessa pesquisa e determinar a prevalencia do tabagismo na populacao urbana de Mâncio Lima, AC. E um estudo transversal de investigacao domiciliar. As informacoes foram analisadas segundo variaveis sociodemograficas, habito de fumar e tentativa de cessar. Utilizou-se o teste t de Student para variaveis independentes e X² para comparar proporcoes. Amostra com 754 individuos. O perfil prevalente dos fumantes foi: homens de 25 a 44 anos, a maioria possuia pouca escolaridade e baixa renda. Ex-fumantes eram majoritariamente femininos e somente 8 deles receberam orientacao profissional. Homens jovens e com nivel socioeconomico baixo estiveram mais vulneraveis a esse habito. Os fumantes apresentaram dificuldade de parar de fumar, sua maioria alega que nao recebeu auxilio adequado para deixar o vicio.
C ∗ -ALGEBRAS ASSOCIATED WITH THE FUNDAMENTAL GROUPS OF GRAPHS OF GROUPS

We construct a nuclear $C^*$-algebra associated with the fundamental group of a graph of groups of finite type. It is well-known that every word-hyperbolic group with zero-dimensional boundary, in other words, every group acting trees with finite stabilizers is given by the fundamental group of such a graph of groups. We show that our $C^*$-algebra is $*$-isomorphic to the crossed product arising from the associated boundary action and is also given by a Cuntz-Pimsner algebra. We also compute the K-groups and determine the ideal structures of our $C^*$-algebras.
hp-FEM for second moments of elliptic PDEs with stochastic data

We prove exponential rates of convergence of a class of hp Galerkin Finite Element approximations of solutions to a model tensor non-hypoelliptic equation in the unit square ! = (0, 1) which exhibit singularities on ∂! and on the diagonal ∆ = {(x, y) ∈ ! : x = y}, but are otherwise analytic in ! As we explained in the first part [6] of this work, such problems arise as deterministic second moment equations of linear, second order elliptic operator equations Au = f with Gaussian random field data f .
When to Pull Back the Curtain : Approaches to Inductive and Deductive Language Instruction in an e-Learning Setting

Rosetta Stone is a language-learning software company with years of experience offering a wide variety of instructional design types for learners of various kinds and at different proficiency levels. In our experience teaching language online, we have discovered that the diversity and sheer number of discrete objectives that learners face in the process of acquiring a language suggest that not all learning objectives are best achieved using a single approach. This perspective is supported by research in second language acquisition focused, for example, on the potential benefits of instruction with or without supporting explanation. Importantly, researchers have clarified the difference between implicit and explicit learning on the one hand, and inductive and deductive instructional treatment on the other, indicating a complex relationship that yields multiple distinct approaches. In the classroom, teachers can attempt different approaches depending on how instruction is received by learners in real time. By contrast, delivering e-learning content means making a conscious commitment to a specific approach for a particular proficiency level or type of objective. How do we decide on the right approach? The choice must be made thoughtfully to ensure the best experience for the widest range of learners, in the context of software and other priorities and constraints.
Al-Monakkeb - A Superior Indexer for Arabic Texts

Stemming has a large effect on Arabic information indexing and retrieval, at least partially due to the highly inflected nature of the language. Our work demonstrates the process of improving the stemmer of Daher, [2]. We reached a recall difference of 28%. The main part of improvement was due to the addition of more grammatical rules that facilitate the process of stemming.
Title Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks

Sensor stream data, particularly those collected at the millisecond of granularity, have been notoriously difficult to leverage classifiable signal out of. Adding to the challenge is the limited domain knowledge that exists at these biological sensor levels of interaction that prohibits a comprehensive manual feature engineering approach to classification of those streams. In this paper, we attempt to enhance the assessment capability of a touchscreen based ratio tutoring system by using Recurrent Neural Networks (RNNs) to predict the strategy being demonstrated by students from their 60hz data streams. We hypothesize that the ability of neural networks to learn representations automatically, instead of relying on human feature engineering, may benefit this classification task. Our RNN and baseline models were trained and cross-validated at several levels on historical data which had been human coded with the task strategy believed to be exhibited by the learner. Our RNN approach to this historically difficult high frequency data classification task moderately advances performance above baselines and we discuss what implication this level of assessment performance has on enabling greater adaptive supports in the tutoring system.
An Improved Algorithm for Pseduo-Jacobi-Fourier Moments

Image moments have been used in many research fields of the engineering. However, the related computation of invariant moments mostly adopted the polar coordinate system, which not only increase the computational load, but also cause large quantized error. To solve this problem, an improved algorithm to compute Pseudo-Jacobi-Fourier moments in the Cartesian coordinate system is proposed in this paper. The experimental results show that the reconstructed image with improved PJFM’s has more advantages than polar coordinate system, such as more information, fewer moments, less time consuming. And the recognition rate of the microscopic images of 8 helminth eggs was also higher than in polar coordinate system.
Geopolitics, Aid and Growth

We investigate the effects of short-term political motivations on the effectiveness of foreign aid. Donor countries’ political motives might reduce the effectiveness of conditionality, channel aid to inferior projects, reduce the aid bureaucracy’s effort, and change the power structure in the recipient country. We investigate whether geopolitical motives matter by testing whether the effect of aid on economic growth is reduced by the share of years a country has served on the United Nations Security Council (UNSC) in the period the aid has been committed, which provides quasi-random variation in commitments. Our results show that the effect of aid on growth is significantly lower when aid has been granted for political reasons. We derive two conclusions from this. First, short-term political favoritism reduces growth. Second, political interest variables are invalid instruments for aid, raising doubts about a large number of results in the aid effectiveness literature.
Mating Behaviour and Fertility of Layer Breeders in Natural Mating Colony Cages: LED Light Environmental Effects

Background: Natural mating colony cages for parent-stock layer breeders, instead of conventional cages with artificial insemination, have been widely adopted by many commercial farms in China. However, the fertility rate of this system is unstable and varies greatly among different cage tiers. We speculated that the difference in fertility rate might be caused by uneven illumination because vision appears to play a central role in hens’ behaviour, including mating, which is an important factor that affects the reproductive performance of hens. The objectives of this study was to investigate the effects of 4 LED light colours (white: WL, red: RL, yellow-orange: YO, blue-green: BG) with 2 light intensities (10 lux, 25 lux) in each colour on mating frequency and fertility for layer breeders in natural mating colony cages. Results: A total of 32 identical cages were involved in the 8 treatments, with 4 replicates for each treatment and 5 males and 45 females per cage. The results showed significant effects of age, light colour, light intensity and colour-intensity interaction on the frequency of mating behaviour, integrity of matings and fertility. Overall, flocks treated with WL and RL and a higher light intensity in natural mating colony cages during the laying period showed a more frequently mating behaviour, a large proportion of relatively complete matings and a higher fertility. All components of mating behaviour and fertility declined from 30 through 40 to 50 wks of age, but no significant correlation was found between fertility and mating behaviour. Conclusions: In summary, the results of this study illustrate that different LED light colour and light intensity influenced the mating behaviour and fertility of layer breeders. WL and RL and a higher light intensity could increase the frequency of mating behaviour, the proportion of complete matings and fertility. No significant correlation was found between fertility and mating behaviour. Such knowledge can help to understand mating behaviour in natural mating colony cages and provide a basis for the optimization of light environment regulation.
An Analytic Study for Software Quality Management Based on Software Process Improvement

The development of high-quality software has been recognized as a significant issue of the software industry. In a development project of a large-scale information system, it is important to anticipate, respond and react to the problems of software design and implementation. In fact, it is difficult to identify the root causes of poor software quality due to the quantity-aspects in finding software bugs including errors and other defects. As a result, software quality management has been focused on software testing as the process of validating and verifying that the implemented system works as expected. In order for the development project to improve its product quality, we propose a methodology for measurement and improvement of software quality according to the standardized processes and products based on a reference framework．In order to identify a root cause of poor software quality, a real development project in million-user service of Japanese public sector has been investigated from a standpoint of the software process. Through the detailed investigation with our proposed framework of traceability analysis, eight primary causes in three subject areas have been identified as patterns that result in poor software quality. Furthermore, in order to mitigate the damaging effects on the poor quality, we propose how to reduce misunderstandings of the project's standards and references, as a framework of software process improvement, according to the identified patterns. For the further discussion of our proposed methodology, an experimental study has been provided with fifty software engineers. In the case study, quality measures are collected and improving patterns are applied to keep a consistency among the developed product and the project’s standards. In the consequence of the case study, we have confirmed that our proposed framework contribute to keep a quality controlled and an efficiency increased in a large-scale software development.
UvA-DARE ( Digital Academic Repository ) Attentional Bias Modification With Serious Game Elements

Background: Young adults often experiment with heavy use of alcohol, which poses severe health risks and increases the chance of developing addiction problems. In clinical patients, cognitive retraining of automatic appetitive processes, such as selective attention toward alcohol (known as “cognitive bias modification of attention,” or CBM-A), has been shown to be a promising add-on to treatment, helping to prevent relapse. Objective: To prevent escalation of regular use into problematic use in youth, motivation appears to play a pivotal role. As CBM-A is often viewed as long and boring, this paper presents this training with the addition of serious game elements as a novel approach aimed at enhancing motivation to train. Methods: A total of 96 heavy drinking undergraduate students carried out a regular CBM-A training, a gamified version (called “Shots”), or a placebo training version over 4 training sessions. Measures of motivation to change their behavior, motivation to train, drinking behavior, and attentional bias for alcohol were included before and after training. Results: Alcohol attentional bias was reduced after training only in the regular training condition. Self-reported drinking behavior was not affected, but motivation to train decreased in all conditions, suggesting that the motivational features of the Shots game were not enough to fully counteract the tiresome nature of the training. Moreover, some of the motivational aspects decreased slightly more in the game condition, which may indicate potential detrimental effects of disappointing gamification. Conclusions: Gamification is not without its risks. When the motivational value of a training task with serious game elements is less than expected by the adolescent, effects detrimental to their motivation may occur. We therefore advise caution when using gamification, as well as underscore the importance of careful scientific evaluation. (JMIR Serious Games 2016;4(2):e20) doi:10.2196/games.6464
FATORES DE ACEITAÇÃO E USO DE TECNOLOGIA: UMA INVESTIGAÇÃO COM SERVIDORES PÚBLICOS

A adocao de sistemas de informacao (SI) por organizacoes publicas e necessaria para a reestruturacao de suas atividades gerenciais. Existe uma expectativa de que os usuarios de SI os utilizem de forma satisfatoria. Porem, ha uma lacuna no setor publico relacionada a resistencia as mudancas e ao uso de recursos de SI pelos seus servidores. Este artigo teve como objetivo investigar fatores de aceitacao e uso de tecnologia que influenciam servidores publicos da Universidade Federal de Sergipe a utilizarem um sistema de informacao. Utilizou-se como base o modelo UTAUT de Venkatesh et al. (2003). Tratou-se de pesquisa quantitativa por meio do metodo survey , com o uso dos testes U de Mann-Whitney e ANOVA Kruskal Wallis para testar as hipoteses. Expectativa de desempenho, Expectativa de esforco e Influencia social positivamente influenciam dois dos tres subsistemas estudados, apenas a Expectativa de desempenho influencia o outro subsistema, e os moderadores apresentaram comportamento divergente do que propoe o modelo.
Transcriptome Analysis of Black and White Sesame Seed Reveals Candidate Genes Associated with Black Seed Development in Sesame (Sesamum Indicum)

Senouwa Segla Ko Dossou Oil Crops Research Institute Chinese Academy of Agricultural Sciences https://orcid.org/0000-0002-7556-9555 Linhai Wang Oil Crops Research Institute Chinese Academy of Agricultural Sciences Xin Wei Shanghai Normal University Yanxin Zhang Oil Crops Research Institute Chinese Academy of Agricultural Sciences Donghua Li Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences Jingyin Yu Oil Crops Research Institute Chinese Academy of Agricultural Sciences Xiurong Zhang (  zhangxr@oilcrops.cn ) Oil Crops Research Institute Chinese Academy of Agricultural Sciences
Investigation of the complex susceptibility of magnetic beads containing maghemite nanoparticles

We report on frequency and field-dependent complex susceptibility, wsðoÞ 1⁄4 wsðoÞ iw00 s ðoÞ, measurements of a magnetic colloidal system consisting of 200 nm spherical beads, containing maghemite (gFe2O3) nanoparticles. The relaxation properties of both the magnetic colloid and a free suspension of the gFe2O3 particles, are investigated over the frequency range 200Hz–1MHz. Under a polarizing field H, an absorption peak is detected in the w00 s component at frequencies fmax between 1.1 and 1.7 kHz. We show that this absorption peak can be attributed to the Néel relaxation of the inner maghemite nanoparticles. It is also shown that the general trend for the value of fmax and the amplitude of both ws and w 00 s is to increase with increasing H. Furthermore, the relation between w 0 sðoÞ and w00 s ðoÞ and their dependence on frequency, o/2p, is investigated by means of the magnetic analogue of the Cole–Cole plot and a measure of the Cole–Cole distribution parameter as is determined. r 2005 Elsevier B.V. All rights reserved.
A Spatio-Temporal Approach to Mitigate Automotive Radar Spoofing Attacks

Cyber-physical system (CPS) has become an integral part of human life, ranging from aircraft to health care systems. The security of these critical components ensures its wider acceptability [1]–[4]. Traditionally, many works [5]–[9] to secure cyber-physical system (CPS) has been done in the cyber domain, like securing inter/intra CPS communication, securing the exposed software, rebuilding control input derived from sensor data post-digitization, using sensor fusion. All of this security software suﬀers from a basic attack wherein an attacker compromises the physical/analog sensing system. Researchers have made some progress in mitigating such attacks on physical/analog signals of CPS, the current state of the art methodology proposed in PyCRA [10] uses temporal random signals for physical challenge-response authentication. Though this approach immensely enhances the capability of identifying the sensor attacks, it fails to provide any recovery mechanism to the system. Recent work like Dutta et al., 2017 [11] tries to address this by introducing recursive least squares (RLS) based recovery mechanisms over PyCRA. Although these systems provide some recovery in trivial scenarios, they fail during longer attacks and also result in loss of control because of longer/frequent random no-signal periods. Which could be catastrophic in real-time systems. This work presents Spatio-Temporal Challenge-Response (STCR), an authentication scheme designed to protect active sensing systems against physical attacks occurring in the analog domain. This system utilizes multiple beam-forming [12] and provides physical challenge-response authentication (CRA) in both spatial and temporal domain. Thus providing a much more resilient authentication mechanism that not only detects malicious attacks, but also provides recovery from them. We demonstrate the resilience and eﬀectiveness of STCR over the state of the art in detecting and mitigating attacks through several experiments using a car following (CF) model. This model deploys CPS in the follower car to sense the lead car’s relative position and maintain a safe distance by manipulating acceleration.
PERBANDINGAN KINERJA ALGORITMA k-NEAREST NEIGHBOR DAN MODIFIED k-NEAREST NEIGHBOR PADA KLASIFIKASI WEBSITE PHISHING

The k-Nearest Neighbor (kNN) algorithm is a classification algorithm that can be used to classify phishing websites, but the algorithm has many weaknesses such as the value of k bias, complex computing, memory limitations dan easily fooled by irrelevant attributes causes a low level off accuracy. This problem can be overcome by the development of kNN algorithm, namely Modified k- Nearest Neighbor (MkNN) where MkNN can overcome the problem of outliers in traditional kNN. So by using the kNN and MkNN Algorithms, it can be find the performance in the form of accuracy, recall, precision, the computing time and memory used. To find out its performance, the algorihtm will be using confusion matrix. The result shows that MkNN had an effect on increasing the value of accuracy, recall and precision compared to the kNN algorithm. The results of the evaluation of the performance of the algorithm using the best k value for both algorithms is (k = 5) so that MkNN is able to produce an accuracy of 95.60 % and the accuracy result using KNN of 95.35 % on the classification of phishing websites. But the inscrease also occurs in the computational time required by MkNN algorithm, which is greater than the KNN algorithm, whereas the memory used in the MkNN algorithm is less.