Miracle-dz/UniFAR-FTUs huggingface dataset:
Artist-Guided Physics-Based Animation

Physics-based animation has proven to be a powerful tool for creating compelling ani­ mations for film and games. Most techniques in graphics are based on methods developed for predictive simulation for engineering applications; however, the goals for graphics ap­ plications are dramatically different than the goals of engineering applications. As a result, most physics-based animation tools are difficult for artists to work with, providing little direct control over simulation results. In this thesis, we describe tools for physics-based animation designed with artist needs and expertise in mind. Most materials can be modeled as elastoplastic: they recover from small deformations, but large deformations permanently alter their rest shape. Unfortunately, large plas­ tic deformations, common in graphical applications, cause simulation instabilities if not addressed. Most elastoplastic simulation techniques in graphics rely on a finite-element approach where objects are discretized into a tetrahedral mesh. Using these approaches, maintaining simulation stability during large plastic flows requires remeshing, a complex and computationally expensive process. We introduce a new point-based approach that does not rely on an explicit mesh and avoids the expense of remeshing. Our approach produces comparable results with much lower implementation complexity. Points are a ubiquitous primitive for many effects, so our approach also integrates well with existing artist pipelines. Next, we introduce a new technique for animating stylized images which we call Dynamic Sprites. Artists can use our tool to create digital assets that interact in a natural, but styl­ ized, way in virtual environments. In order to support the types of nonphysical, exaggerated motions often desired by artists, our approach relies on a heavily modified deformable body simulator, equipped with a set of new intuitive controls and an example-based deformation model. Our approach allows artists to specify how the shape of the object should change as it moves and collides in interactive virtual environments. Finally, we introduce a new technique for animating destructive scenes. Our approach is built on the insight that the most important visual aspects of destruction are plastic deformation and fracture. Like with Dynamic Sprites, we use an example-based model of deformation for intuitive artist control. Our simulator treats objects as rigid when computing dynamics but allows them to deform plastically and fracture in between timesteps based on interactions with the other objects. We demonstrate tha t our approach can efficiently animate the types of destructive scenes common in film and games. These animation techniques are designed to exploit artist expertise to ease creation of complex animations. By using artist-friendly primitives and allowing artists to provide characteristic deformations as input, our techniques enable artists to create more compelling animations, more easily.
Review on Heart Sound Wavelet Neural Network Applications

An investigation of Heart sound is an important technique for cardiovascular assessment that contains physiological and obsessional information of various components of the guts and collaborations between them. This paper expects to arrange a framework for dissecting heart sounds as well as programmed investigation and arrangement. With the elements separated by moving ridge decay and Normalized Average applied scientist Energy, a completely unique soft neural system strategy with structure learning is projected for the guts sound characterization. Explores completely different avenues concerning real info exhibited that our methodology will effectively prepare all the tried heart sounds not withstanding for those with past inconspicuous heart ailments.
On the Origins of the .05 Level of Statistical Significance

Examination of the literature in statistics and probability that predates Fisher's Statistical Meth- ods for Research Workers indicates that although Fisher is responsible for the first formal statement of the . 05 criterion for statistical significance, the concept goes back much further. The move toward conventional lev- els for the rejection of the hypothesis of chance dates from the turn of the century. Early statements about statistical significance were given in terms of the prob- able error. These earlier conventions were adopted and restated by Fisher. It is generally understood that the conventional use of the 5% level as the maximum acceptable prob- ability for determining statistical significance was established, somewhat arbitrarily, by Sir Ronald Fisher when he developed his procedures for the analysis of variance. Fisher's (1925) statement in his book, Statistical Methods for Research Workers, seems to be the first specific mention of the p = . 05 level as deter- mining statistical significance. It is convenient to take this point as a limit in judging whether a deviation is to be considered significant or not. Deviations exceeding twice the standard deviation are thus formally regarded as significant, (p. 47) Cochran (1976), commenting on a slightly later, but essentially similar, statement by Fisher (1926), says that, "Students sometimes ask, 'how did the 5 per cent significance level or Type I error come to be used as a standard? ' . I am not sure but this is the first comment known to me on the choice of 5 per cent" (p. 15). In the 1926 article Fisher acknowledges that other levels may be used:
Limited correspondence between daily coping reports and restrospective coping recall.

College students (N = 173) provided daily crying reports for 7 days prior to the first class exam. Five days after the exam, students were asked to report on their exam-related coping. By combining daily and retrospective measurement procedures, the authors were able to examine the degree of correspondence between retrospective self-reports and reports made during the time the event was unfolding. A notable decrement in correspondence was observed in comparison with a condition in which the 2 measures (the Coping Strategy Indicator and the Definitional Coping Inventory) were used retrospectively to assess crying with a prior stressful event. In the best case (Problem Solving), the correlation between daily and retrospective measures was.58, indicating that students were only moderately accurate in their coping strategy recall
The Enrichment Triad Model: a Guide for Developing Defensible Programs for the Gifted and Talented

The purpose of this paper is threefold. First, I would like to register some concerns about the appropriateness of many activities that parade under the banner of gifted education, activities that may be intrinsically valuable in and of themselves, but essentially indefensible as the mainstay of programs that serve gifted and talented students. The second purpose will be to present an enrichment model that can be used as a guide in the development of qualitatively different programs in this area of special education, and by so doing try to provide defensible answers to questions such
Globalisation and development: the relevance of classical “dependency” theory for the world today†

Three decades ago, in the pages of this journal, theSwiss sociologist Volker Bornschier (1980), in asummary of path-breaking empirical investiga-tions, which vindicated much of the thinking of thesocial sciences from Latin America, critical ofthe dependency relations ofthe global “South” from thedeveloped “North”, broke along-standing taboo in thesocial sciences of the devel-oped countries by predictingthat the effects of multina-tional corporations on eco-nomic growth and socialinequality in their host coun-tries were not entirely posi-tive. In the 103 countriesstatistically investigated byBornschier in the period1960–1977, the short-termeffect of fresh foreign direct investment for eco-nomic growth was found to be signiﬁcantly posi-tive; but the long-term effects of multinationalcorporations, especially in the poorer countries ofAfrica,Asia, and LatinAmerica, were signiﬁcantlynegative. Since then, three decades of neo-liberalism have been characterised by the return tothe old, and up until the 1970s, the dominant beliefthat open markets, foreign direct investment, andnon-intervention by governments were the idealand only receipt for long-term stable economicgrowth and full employment. Is Bornschier’smessage still valid, three decades later, in themiddle of the biggest world economic recessionsince the 1930s? The aim of this article is to show the basicvalidity of Bornschier’s research design andresearch question with the data of today. Shouldwe, in the global “North”, who are most seriouslyaffected by the current crisis, ﬁnally learn thelessons offered by the experience of the periphery(i.e. the majority of the countries of Africa, Asia,Latin America and the Carib-bean, and Oceania) and thesemi-periphery (i.e. the coun-tries which are positionedbetween the periphery andcore countries, like China,India, and Mexico) in earlierperiods of development in theworld economy? And shouldEurope begin to study theexperiences of Latin Americaand should it ﬁnally learnthat dependence indeed has acritical impact on the over-all long-term developmenttrends of a nation and that it tends towards thepolarisation of social relations, which we nowwitness all over Europe? Now that dependency andpenetration by multinational corporations haverisen in Europe to staggering proportions, as wewill demonstrate in this article, the rediscovery ofthe radical “dependency” perspective means a fun-damental break away from the existing dominantthinking on the subject, as highlighted during thecurrent crisis of the global economy. The logicof European Union policy making is still gearedprimarily towards the “internal market” and thefour “big” freedoms of trade, capital, services, andinvestment (Tausch and Ghymers 2007). Althoughthe current European Commission Work Pro-gramme started by saying that “business as usual isnot an option”, it ended up by repeating exactly
Gravitation to jobs commensurate with ability: Longitudinal and cross-sectional tests.

Two large data sets were used to test the premise that individuals will, over time, gravitate into jobs commensurate with their abilities. First, in a longitudinal data set with the individual as the unit of analysis, cognitive ability predicted movement in a job hierarchy over a 5-year period. Second, in a cross-sectional data set with the job as the unit of analysis, groups made up of less experienced incumbents were found to be slightly less homogeneous with respect to cognitive ability than groups made up of more experienced incumbents. Thus, support for the gravitational hypothesis was found
Semistable Higgs bundles on Calabi–Yau manifolds

We provide a partial classification of semistable Higgs bundles over a simply connected Calabi-Yau manifolds. Applications to a conjecture about a special class of semistable Higgs bundles are given. In particular, the conjecture is proved for K3 and Enriques surfaces, and some related classes of surfaces.
Power efficiency of software radio based turbo codec

We give a method of reducing overall power consumption in software defined radio (SDR) receiver for a turbo coding system. Turbo codes are introduced in 3rd generation mobile communication standards for their superior coding gain while SDR will be widely available for various wireless communication applications for it's multirate, multiband and multimode function in a single hardware platform. It is well known that the iterative decoder structure of turbo decoder results in high power consumption. We take a look at the power consumption in an analog-to-digital converter (ADC) where the number of bits (resolution) used for quantizing the signal determine the power usage. The main objective of this paper is to provide a way to reduce the overall power consumption in SDR for a turbo decoder.
Extraction Methods For Environmental Analysis

Thank you very much for reading extraction methods for environmental analysis. As you may know, people have search hundreds times for their chosen novels like this extraction methods for environmental analysis, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful virus inside their computer. extraction methods for environmental analysis is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the extraction methods for environmental analysis is universally compatible with any devices to read.
Mr. Chips: An ideal-observer model of reading

The integration of visual, lexical, and oculomotor information is a critical part of reading. Mr. Chips is an ideal-observer model that combines these sources of information optimally to read simple texts in the minimum number of saccades. In the model, the concept of the visual span (the number of letters that can be identified in a single fixation) plays a key, unifying role. The behavior of the model provides a computational framework for reexamining the literature on human reading saccades. Emergent properties of the model, such as regressive saccades and an optimal-viewing position, suggest new interpretations of human behavior. Because Mr. Chip's "retina" can have any (one-dimensional) arrangement of high-resolution regions and scotomas, the model can simulate common visual disorders. Surprising saccade strategies are linked to the pattern of scotomas. For example, Mr. Chips sometimes plans a saccade that places a decisive letter in a scotoma. This article provides the first quantitative model of the effects of scotomas on reading.
A Sentiment Classification Approach Based on Sentiment Sentence Framework

Considering that opinionated sentences always have the same or similar syntax and semantic expression frameworks,this paper proposes a sentiment analysis approach based on sentiment sentence framework.Firstly,we divided sentiment sentence frameworks into three categories and 105subcategories.A sentence framework extraction method is designed to semi-automatically extract sentiment sentence frameworks from annotated sentiment sentences using dependency features,syntactic features and synonym features.The polarity of input sentence is determined through the classification of its sentiment sentence frameworks.The evaluations on NLPCC 2013micro-blog emotion analysis corpus and RenCECps blog emotion corpus show that our proposed sentiment classification approach achieves better precision performance compared to word-based support vector machine classifiers.
The Effects of Goal Difficulty on Physiological Arousal, Cognition, and Task Performance

Two laboratory experiments with 117 undergraduate students were conducted to examine (a) the effect of assigned goal difficulty on arousal (self-report and heart rate), cognition (perceived norm, self-efficacy strength, and personal goal), and behavioral (task performance) measures and (b) the role of heart rate as a mediator of the goal-difficulty-performance relation. All Ss performed a task requiring cognitive and physical responses. Results of both experiments demonstrated that assigned goal difficulty affected heart rate, cognition, and task performance and that heart-rate change was positively related to the cognitive and behavioral measures. Regression analyses suggested that a cognitive-affective mechanism may mediate the goal-difficulty-performance relation. Discussion is focused on the theoretical and practical implications of integrating an arousal concept within goal-setting theory.
Schema induction in children's analogical problem solving.

Three experiments were conducted to explore the ability of school-age children to transfer solutions to analogous problems. This research addressed the issue of how the variability of procedural features in source examples facilitates the induction of a general problem schema and, thus, promotes subsequent transfer. Children were asked to solve a series of problems analogous to Luchins's (1942) classic water jar problems. All the problems shared a common isomorphic structure and a general solution but required either similar or different specific procedures. Children who experienced problems with variant procedural features were more likely than those who experienced problems with invariant procedural features to construct a general problem schema and to solve novel problems requiring unfamiliar procedures. This research sheds light on the cognitive mechanisms involved in strategy generalization and analogical problem solving.
Research of Weighted Association Rule and Its Application in Personalization Recommendation System

Conventional association rule mining does not consider the importance of each item,so in fact applying it lacks some pertinency.Based on the weighted support of New-Apriori algorithm and combining the Fp-growth algorithm ideas,the weighted association rule algorithm is put forward based on Fp-tree.And the general process of personalization recommendation of the association rule is given.By using Web log file,making use of the Web page frequency which is visited by users as its weight,the algorithm is implemented in the personalization recommendation.The experimental results also show the algorithm has high veracity and efficiency.
Organizations in Action: Social Science Bases of Administrative Theory

The research regarding complex organizations is scarce at this time. Few research studies have investigated the function both of the open, uncertain systems and the closed, certain systems of different organizations. This book is cited as a "conceptual inventory;" its main purpose is to formulate possible propositions to further study the similarities and differences of organizational behaviors across disciplines. It explores such issues as organizational design, technology and structure, and assessment of organizations. The analysis then examines the ways in which the following variables and concepts impact an organization: human variables, discretion, control of complex organizations, and the administrative process. Based upon the conducted research, both external sources (generalized and contingency) and internal sources (interdependence) of uncertainty are identified among complex organizations. Although most organizations seek a state of self-control, the means by which they achieve this state differ between organizations. The differing responses of administrators to uncertainty within their respective organizations are explored. Possible areas of future research are proposed, including the utilization of both operational and conceptual research. (AKP)
Effect of physical layout in performance of the Trail Making Test.

The Trail Making Test, a commonly used test instrument in neuropsychological evaluation, consists of2 parts ( A and B). The difference in times to complete the 2 parts of the test is usually attributed to the increased cognitive demands of Part B. The results of this study suggest that the difference in physical layout of the 2 parts of the test also has a significant effect on the time needed for their completion. The study used only fully functional participants ; it is not known how the difference in physical layouts relates to test performance by persons with brain-function impairment.
An Objective Psychology Of Music

Thank you for downloading an objective psychology of music. As you may know, people have look hundreds times for their favorite novels like this an objective psychology of music, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some harmful bugs inside their laptop. an objective psychology of music is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the an objective psychology of music is universally compatible with any devices to read.
Reliability, validity, and preliminary normative data for the inventory to diagnose depression in a college population

The Inventory to Diagnose Depression (IDD) was designed to assess both the diagnosis of major depressive episode and the severity of depressive symptoms. When used with a college population, the IDD was a stable and internally consistent measure of depressive symptomatology. IDD total scores correlated significantly with other commonly used depression inventories, and a principal-components analysis revealed a general depression factor associated with IDD responses. Last, the IDD yield diagnoses of major depressive episode that compared favorably with interview-derived diagnoses, and preliminary normative data for the IDD in a population of college students are reported
Control of aperiodic walking and the energetic effects of parallel joint compliance of planar bipedal robots

In this dissertation, two problems related to bipedal robot walking are presented. The first problem is the influence of parallel knee joint compliance on the average power cost of walking in an underactuated planar bipedal robot, ERNIE. The second problem is the design of walking controllers that induce aperiodic bipedal robot walking. It has been found that compliance plays important roles in walking and running in animals. Compliance has been used in robotic bipedal machines to improve energetic efficiency or reduce the peak power demand on the robot’s actuators. This dissertation presents numerical and experimental studies of the influence of parallel knee joint compliance on the average power cost of walking in an underactuated planar bipedal robot, ERNIE. The use of parallel compliance does not increase the control design complexity, as would the addition of series compliance. Four scenarios were studied: one without springs and three with springs of different stiffnesses and preloads. Optimal gaits in terms of average power cost for various speeds were designed for each scenario. It was found that for low-speed walking, soft springs are helpful to reduce power cost, while stiffer springs increase power cost. For high-speed walking, it was found that both soft and stiff springs reduce the average power cost of walking, but stiffer springs reduce the cost more than do softer springs. ii The second problem addressed in this dissertation is aperiodic walking controller design. Along with the energetic efficiency of bipedal walking, the ability to walk stably in varying environments or with different tasks, such as stepping over stones, is another major concern in bipedal walking. In these scenarios, the walking is not periodic. This dissertation presents a new definition of stable walking that is not necessarily periodic for a class of biped robots. The inspiration for the definition is the commonly-held notion of stable walking: the biped does not fall. To make the definition useful, an algorithm is given to verify if a given controller induces stable walking. Also given is a framework to synthesize controllers that induce stable walking. The results are illustrated with numerical simulation and experiments. This dissertation also presents details of a modeling procedure for the experimental bipedal robot, ERNIE, and explores the possibility to apply iterative learning control to bipedal walking.