Miracle-dz/UniFAR-FTUs huggingface dataset:
AlSiO 6 , a new pyroxene from the Allende meteorite

Grossmanite, Ca(Ti,Mg,Ti)AlSiO6 with an end-member formula CaTiAlSiO6, is a new member of the Ca clinopyroxene group, where the trivalent cations are dominant in the M1 site with Ti3+ being the dominant trivalent cation. It occurs as micrometer-sized crystals along with spinel and perovskite in a melilite host in Ca-,Al-rich refractory inclusions from the Allende meteorite. The mean chemical composition determined by electron microprobe analysis of the type material is (wt%) SiO2 27.99, Al2O3 24.71, CaO 24.58, Ti2O3 10.91, TiO2 6.68, MgO 4.45, Sc2O3 0.43, V2O3 0.19, ZrO2 0.13, FeO 0.08, Cr2O3 0.03, sum 100.20. Its empirical formula calculated on the basis of 6 O atoms is Ca1.00[(Ti 0.35 Al0.18Sc0.01V 0.01)Σ0. 55Mg0.25Ti 0.19]Σ1. 00(Si1.07Al0.93)Σ2. 00O6. Grossmanite is monoclinic, C2/c; a = 9.80 Å, b = 8.85 Å, c = 5.36 Å, β = 105.62°, V = 447.70 Å3, and Z = 4. Its electron back-scatter diffraction pattern is an excellent match to that of Ti3+-rich pyroxene with the C2/c structure. The five strongest calculated X-ray powder diffraction lines are [d spacing in Å, (I), hkl] 2.996 (100) (221), 2.964 (31) (310), 2.581 (42) (002), 2.600 (28) (131), 2.535 (47) (221). The name is for Lawrence Grossman, a cosmochemist at the University of Chicago.
Lower order finite element approximations of symmetric tensors on simplicial grids in Rn

In this paper, we construct, in a unified fashion, lower order finite element subspaces of spaces of symmetric tensors with square-integrable divergence on a domain in any dimension. These subspaces are essentially the symmetric H(div)-Pk (1=<k<=n) tensor spaces, enriched, for each n-1 dimensional simplex, by (n+1)n/2 H(div)-Pn+1 bubble functions when 1=< k<= n-1, and by (n-1)n/2 H(div)-P n+1 bubble functions when k= n. These spaces can be used to approximate the symmetric matrix field in a mixed formulation problem where the other variable is approximated by discontinuous piecewise Pk-1 polynomials. This in particular leads to first order mixed elements on simplicial grids with total degrees of freedom per element $18$ plus $3$ in 2D, 48 plus 6 in 3D. The previous record of the degrees of freedom of first order mixed elements is, 21 plus 3 in 2D, and 156 plus 6 in 3D, on simplicial grids. We also derive, in a unified way and without using any tools like differential forms, a family of auxiliary mixed finite elements in any dimension. One example in this family is the Raviart-Thomas elements in one dimension, the second example is the mixed finite elements for linear elasticity in two dimensions due to Arnold and Winther, the third example is the mixed finite elements for linear elasticity in three dimensions due to Arnold, Awanou and Winther.
O chefe tem sempre razão?: um estudo intercultural das expectativas sociais em interações de trabalho

This research aimed at exploring the tendency to agree with a supervisor’s actions at a workplace interaction situation. 465 college students from Salvador and Madrid participated in this study, and all of them business administration and engineering seniors. A written dialogue between a supervisor and an employee was presented, concerning the agreement or disagreement with theirs manner of acting, as well as regarding the justifications given by the participants. Quantitative analysis indicated a tendency to agree with the manner of acting of the supervisor, regardless of the culture and the professional experience. The analysis of the qualitative content revealed that the reasons given in both countries are similar and focus on trust, motivation, and mutual support and guidance.
Cognitive image representation based on spectrum pyramid decomposition

The contemporary image representation is based on various techniques, using matrices, vectors, multi-resolution pyramids, R-tree, orthogonal transforms, anisotropic perceptual representations, etc. In this paper is offered one new approach for cognitive image representation based on adaptive spectrum pyramid decomposition controlled by neural networks. This approach corresponds to the hypothesis of the human way for image recognition using consecutive approximations with increasing resolution for the selected regions of interest. Such image representation is suitable for the creation of the objects' learning models, which should be extracted from image databases in accordance with predefined decision rules. Significant element of the new representation is the use of a feedback, which to provide iterative change of the cognitive models' parameters in accordance with the data mining results obtained.
Outdoor Education and the Inclusion of Children with Special Needs – a Case Study from Germany

society (Wattchow & Brown, 2011, p. 197). As we see, there are various reasons why connectedness with nature is important for human beings on a personal level, but also for nature and their protection. On a personal level a connection towards nature can be seen as particularly important for children with special needs for whom a connection to nature and their lifeworld can be more difficult due to physical or mental accessibility for instance. 3.3. 5 Outdoor Education, health and well-being The previous chapter about nature connectedness already mentioned some aspects of wellbeing, such as feeling a sense of freedom or harmony while being in nature. There are a range of benefits for well-being and health which occurs when being outdoors, hereby Outdoor Education can play a central role to increase health and well-being of students. Through Outdoor Education children increase their physical health, this can be attribute by the fact that children move more being outdoors (Dewey, 1963, p. 63). When observing traditional education in schools it is conspicuous that the children are sitting most of the time. Learning methods within Outdoor Education engage physical activity and motivate children to move while learning. This can be seen as an important aspect, as children today not only sit in the classroom; they are spending more and more time outside of school sitting, in front of the television, computer or other electronic device (Louv, 2009, p. 35). Additional, to increased movement Outdoor Education promotes better motor skills (Dahlgren & Szczepanski, 1998, p. 47). Children are learning hands-on; they are using their hands instead of only writing in their textbooks. The use of a hammer in order to practice woodwork or to calculate using pinecones or a tangible object stimulates different motor skills and supports motor coordination.
AccucheckInform II: About Its Accuracy and Precision

To introduce the most easy to performblood glucose investigation can help management of diabetes mellitus. The point of care testing (POCT) technology is widely used and there are many new introduced techniques (1). The AccuCheck Inform II is a new technique with use of a mutated glucose dehydrogenase that has no problem of cross-reaction to maltose (2). The previous report showed that this new tool is acceptable for clinical use. Here, the authors perform a study on the accuracy and precision of theAccuCheck Inform II comparing to Lab Cobas6000, a standard clinical chemistry analyzer (N = 2for both accuracy and precision study). Focusing on our results, all samples pass the evaluation criteria (accuracy more than 90% and imprecision less than 10%). It can be seen that the results support the previous report by Dietzen et al.(2). Nevertheless, there are still more concerns for further evaluation. First, the cost effectiveness of the new technique comparing to the classical tool has to be studied. Second, although the new technique has decreased problem of laboratory interference, there is still a report on the concerned interference from icodextrin metabolites (3).
Quality-Controlled Upper-Air Sounding Dataset for DYNAMO/CINDY/AMIE: Development and Corrections

AbstractThe upper-air sounding network for Dynamics of the Madden–Julian Oscillation (DYNAMO) has provided an unprecedented set of observations for studying the MJO over the Indian Ocean, where coupling of this oscillation with deep convection first occurs. With 72 rawinsonde sites and dropsonde data from 13 aircraft missions, the sounding network covers the tropics from eastern Africa to the western Pacific. In total nearly 26 000 soundings were collected from this network during the experiment’s 6-month extended observing period (from October 2011 to March 2012). Slightly more than half of the soundings, collected from 33 sites, are at high vertical resolution. Rigorous post–field phase processing of the sonde data included several levels of quality checks and a variety of corrections that address a number of issues (e.g., daytime dry bias, baseline surface data errors, ship deck heating effects, and artificial dry spikes in slow-ascent soundings). Because of the importance of an accurate description of .
Auto-évaluation : Daily Self-Assessment in the FSL Classroom

Abstract: This article is about the benefits of self-assessment and its use in language education. The main focus is on auto-évaluation as a means of beginning class in an organized and motivating way. In contrast to 'bell work' or other start-of-period activities on random topics, auto-évaluation involves asking questions that are closely tied to what is being studied in class. Every day, students answer questions, discuss, and evaluate their responses, and record their mark on a marking grid. An example of the grid is provided along with sample questions related to Grade 9 core French. These questions illustrate how one can take into consideration students' 'multiple intelligences,' as well as their needs and interests. In addition to daily auto-évaluation, other ideas are presented on incorporating self-assessment into one's classes. Cet article discute des bénéfices de l'auto-évaluation et de son usage dans les cours de langue. L'accent principal est sur l'utilisation de l'auto-évaluation comme moyen de commencer une classe d'une manière organisée et motivante. Par contraste avec les activités faites au début de la période qui sont sur des sujets choisis au hasard, l'auto-évaluation requiert qu'on pose des questions étroitement liées à ce qu'on étudie en classe. Chaque jour, les élèves répondent aux questions, discutent de leurs réponses, les évaluent et écrivent leur note dans une grille. Un exemple de la grille est fourni ainsi que des questions possibles liées à la 9ième année du franc¸ais cadre. Ces questions démontrent comment on peut prendre en considération les intelligences multiples, les besoins et les intérêts des élèves. En plus de l'auto-évaluation quotidienne, d'autres idées sur l'incorporation de l'auto-évaluation en classe seront partagées.
Composition of mixed-species foraging flocks associated with red-cockaded woodpeckers

Red-cockaded woodpeckers (Picoides borealis) are known to be regular members of mixedspecies foraging flocks. We censused avian species associated with foraging red-cockaded woodpeckers in longleaf pine (Pinus palustris) habitat and in mixed loblolly pine (? taeda)-shortleaf pine (R echinata) habitat in eastern Texas during the non-breeding season. We also censused random points in similar habitat. A statistical evaluation of the census data indicated which species were most likely to be associated with redcockaded woodpeckers. A large percentage of the species detected were significantly more likely to be found with these mixed-species flocks than at random points. Behavioral observations revealed that the foraging flock begins to assemble in the vicinity of the red-cockaded woodpecker cavity tree cluster well before the emergence of the woodpeckers. This assem6 blage indicates that red-cockaded woodpeckers are an important constituent of the foraging flock. Redcockaded woodpeckers fit most of the characteristics used to describe nuclear members of foraging flocks, such' as conspicuous plumage and vocalization. They also appear to be joined and followed more often than they themselves join and follow other species.
Small Mammals of Santa Rosa, Southwestern Imbabura Province, Ecuador

In 2008 a mammal survey was conducted in humid tropical forest on the western slope of the Andes near the town of Santa Rosa. Sherman traps, tomahawk traps, pitfall traps, and mist nets were used to collect mammal specimens at two sites (450 m elevation and 702 m elevation). A total of 113 specimens of 32 species were collected from the survey area. Seventeen Chiropteran species (Saccopteryx bilineata, Anoura fistulata, Glossophaga soricina, Micronycteris megalotis, Phyllostomus discolor, Carollia perspicillata, Sturnira bogotensis, Sturnira luisi, Artibeus jamaicensis, Dermanura rava, Dermanura rosenbergii, Platyrrhinus vittatus, Vampyriscus nymphaea, Vampyressa thyone, Eumops auripendulus, Eptesicus innoxius, and Myotis albescens) and one rodent species (Sigmodontomys aphrastus) represent new records for southwestern Imbabura. New elevation records also were documented for Anoura fistulata and Sturnira bogotensis. Shannon diversity analyses of the Chiropteran fauna and overall mammal diversity indicated greater diversity at the 450 m site.
Ieee Projects 100% Working Code + Documentation+ Explaination – Best Price Security Evaluation of Pattern Classifiers under Attack Ieee Projects 100% Working Code + Documentation+ Explaination – Best Price Ieee Projects 100% Working Code + Documentation+ Explaination – Best Price

Pattern classification systems are commonly used in adversarial applications, like biometric authentication, network intrusion detection, and spam filtering, in which data can be purposely manipulated by humans to undermine their operation. As this adversarial scenario is not taken into account by classical design methods, pattern classification systems may exhibit vulnerabilities,whose exploitation may severely affect their performance, and consequently limit their practical utility. Extending pattern classification theory and design methods to adversarial settings is thus a novel and very relevant research direction, which has not yet been pursued in a systematic way. In this paper, we address one of the main open issues: evaluating at design phase the security of pattern classifiers, namely, the performance degradation under potential attacks they may incur during operation. We propose a framework for empirical evaluation of classifier security that formalizes and generalizes the main ideas proposed in the literature, and give examples of its use in three real applications. Reported results show that security evaluation can provide a more complete understanding of the classifier's behavior in adversarial environments, and lead to better design choices micans infotech Pattern classification systems based on classical theory and design methods do not take into account adversarial settings, they exhibit vulnerabilities to several potential attacks, allowing adversaries to undermine their effectiveness. A systematic and unified treatment of this issue is thus needed to allow the trusted adoption of pattern classifiers in adversarial environments, starting from the theoretical foundations up to novel design methods, extending the classical design cycle of. In particular, three main open issues can be identified: (i) analyzing the vulnerabilities of classification algorithms, and the corresponding attacks. (ii) developing novel methods to assess classifier security against these attacks, which is not possible using classical performance evaluation methods. (iii) developing novel design methods to guarantee classifier security in adversarial environments. 1.Poor analyzing the vulnerabilities of classification algorithms, and the corresponding attacks. 2.A malicious webmaster may manipulate search engine rankings to artificially promote her1 website. In this work we address issues above by developing a framework for the empirical evaluation of classifier security at design phase that extends the model selection and performance evaluation steps of the classical design cycle . We summarize previous work, and point out three main ideas that emerge from it. We then formalize and generalize them in our framework (Section 3). First, to
GLUTAMATE RECEPTORS; FROM BASIC PHARMACOLOGY TO CLINICAL APPLICATIONS

The existence of glutamate receptors as important neurotransmitter receptors was not fully accepted until the 1980s. It is now generally agreed that glutamate is the major fast excitatory neurotransmitter in brain, and plays a major role in brain development, affecting neuronal migration, neuronal differentiation, axon genesis, and neuronal survival through its action on the glutamate receptors. There are two classes of glutamate receptors; the ionotropic glutamate receptors (iGluRs), and the metabotropic glutamate receptors (mGluRs). Glutamate receptors are important mediators of a wide range of neuronal functions from primary sensory perception to cognition and also play a role in a number of neurodegenerative diseases. Understanding the role of glutamate in these neurological diseases may highlight treatment potentials of different agonists and antagonists to glutamatergic transmission. In this review, the basic biology of glutamate receptors will be explored. The secound part of this article presents a review of the literature for the role of glutamate agonists and antagonists in neurological disease.
CHAOTIC DYNAMICS IN A SLOWLY ROTATING DRUM

Recent computational work (Banigan et al., Nat. Phys. 9, 288 (2013)) has demonstrated that jamming and unjamming in a shear cell can be described in terms of chaotic dynamics. Experimental work (Wang et al., Sci. Rep. 5, 8128 (2015)) found that avalanches in a rotating drum behave consistently with this description. We employ computer simulations to examine the chaotic dynamics accompanying granular avalanches in the rotating-drum system. These simulations directly evolve imposed perturbations and provide access to the largest short-time Lyapunov exponent. We find that the local chaotic properties of the system and its dynamics are indeed coupled; the system becomes chaotic as avalanches develop, and returns to a non-chaotic state as avalanches decay. Interestingly, the transition between chaotic and non-chaotic regimes lags behind the change in avalanche state. This contrasts with prior work on the shear cell, where the same force model yielded dynamics that becomes chaotic leading up to, rather than lagging behind, local reorganizations of disks. Trabajo computacional reciente (Banigan y col., Nat. Phys. 9, 288 (2013)) ha demostrado que el “jamming” y “unjamming” en una celda de cizalladura puede ser descrito en términos de dinámica caótica. Se ha encontrado experimentalmente (Wang y col.,Sci. Rep. 5, 8128 (2015)) que las avalanchas en un tabor rotatorio se comportan consistentemente con esta descripción. Utilizamos simulaciones computacionales para examinar la dinámica caótica que acompaña a las avalanchas granulares en el sistema de tambor rotatorio. Estas simulaciones involucran directamente perturbaciones impuestas, y permiten acceder al exponente más grande de Lyapunov de corto tiempo. Encontramos que las propiedades caóticas locales del sistema y su dinámica están, de hecho, acopladas; el sistema se vuelve caótico cuando se desarrollan las avalanchas, y retorna al estado no-caótico cuando éstas disminuyen. Resulta interesante que la transición entre los regı́menes caótico y no-caótico va detrás del cambio del régimen de avalanchas. Esto contrasta con trabajos previos en la celda de cizalladura, donde el mismo modelo de fuerza resulta en una dinámica caótica que conduce, en vez de ser el resultado, a reorganizaciones locales de los discos.
Advantages of Two-car Listening for Speech Degraded by Noise and Reverberation Jul 82005 Advantages of Two-ear Listening for Speech Degraded by Noise and Reverberation Acknowledgements

The current study investigates how the spatial locations of a target and masker influence consonant identification in anechoic and reverberant space. Reverberation was expected to interfere with the task both directly by degrading consonant identification and indirectly by altering interaural cues and decreasing spatial unmasking. Performance was measured as a function of target-to-masker ratio (TMR) to obtain multiple points along the psychometric function. Results suggest that for consonant identification, there is little spatial unmasking; however, in reverberant environments, performance improves with binaural listening even when the target and masker give rise to roughly the same interaural cues. It is hypothesized that the time-varying changes in TMR at both ears that result from reverberation can lead to such binaural listening advantages. The behavioral results are discussed with respect to an acoustic analysis that quantifies the expected improvement of binaural listening over monaural listening using an "independent looks" approach.
STOCHASTIC DESIGN AND CONTROL IN RANDOM HETEROGENEOUS MATERIALS

The present paper discusses a sampling framework that enables the optimization of complex systems characterized by high-dimensional uncertainties and design variables. We are especially concerned with problems relating to random heterogeneous materials where uncertainties arise from the stochastic variability of their properties. In particular, we reformulate topology optimization problems to account for the design of truly random composites. In addition, we address the optimal perscription of input loads/excitations in order to achieve a target response by the random material system. The methodological advances proposed in this paper consist of an adaptive Sequential Monte Carlo scheme that economizes the number of runs of the forward solver and allows the analyst to identify several local maxima that provide important information with regards to the robustness of the design. We further propose a principled manner of introducing information from approximate models that can ultimately lead to further reductions in computational cost.
JHAVEPOP: VISUALIZING LINKED-LIST OPERATIONS IN C++ AND JAVA

JHAVEPOP is a program visualization tool specialized in elementary pointer and linkedlist operations. JHAVEPOP is a web-started application pre-packaged with ready-made programming exercises in both Java and C++. The only preparation needed by instructors to use JHAVEPOP is telling their students what URL to load in their browsers. Once there, students read the problem statement, enter their program, and interact with an automaticallygenerated, visual representation of the state of memory during program execution. JHAVEPOP has been used at both the high-school and college level. Student feedback indicates that JHAVEPOP is helping them debug their programs faster and with less frustration.
BOUNDED ANT COLONY ALGORITHM FORTASK ALLOCATION ON AN ETWORK OF HOMOGENEOUS PROCESSORSUSING A PRIMARY SITE (BTS-ACO)

Efficient scheduling of tasks for an application is considered a crucial aspect in distributed systems to achieve a superior performance. This paper presents a task scheduling algorithm base on the Ant Colony Optimization (BTS-ACO). This algorithmdepends on an initial bound on each processor to control the procedure of task allocation. Herein, the priority of tasks isto processor with the minimal load. The algorithm investigates the effect of scheduling sorted (SLoT) and random (RLoT) list of tasks. The performance of the algorithm is demonstrated by the time taken for producing effective schedules, makespan of the schedule, and load balance of the models. The results show that BTS -ACO solution with sorted list has better performance than random list.