Miracle-dz/UniFAR-FTUs huggingface dataset:
Competitive analysis of financial games

In the unidirectional conversion problem an on-line player is given the task of converting dollars to yen over some period of time. Each day, a new exchange rate is announced and the player must decide how many dollars to convert. His goal is to minimize the competitive ratio. defined as sup/sub E/ (P/sub OPT/(E)/P/sub X/E) where E ranges over exchange rate sequences. P/sub OPT/(E) is the number of yen obtained by an optimal off-line algorithm, and Px(E) is the number of yen obtained by the on-line algorithm X. The authors also consider a continuous version of the problem. in which the exchange rate varies over a continuous time interval. The on-line line players a priori information about the fluctuation of exchange rates distinguishes different variants of the problem. For three variants they show that a simple threat-based strategy is optimal for the on-line player and determine its competitive ratio. They also derive and analyze an optimal policy for the on-line player when he knows the probability distribution of the maximum value that the exchange rate will reach. Finally, they consider a bidirectional conversion problem, which the player may trade dollars for yen or yen for dollars. <<ETX>>
A Performance-Correctness Explicitly-Decoupled Architecture : Technical Report

Optimizing the common case has been an adage in decades of processor design practices. However, as the system complexity and optimization techniques’ sophistication have increased substantially, maintaining correctness under all situations, however unlikely, is contributing to the necessity of extra conservatism in all layers of the system design. The mounting process, voltage, and temperature variation concerns further add to the conservatism in setting operating parameters. Excessive conservatism in turn hurt performance and efficiency in the common case. However, much of the system’s complexity comes from advanced performance features and may not compromise the whole system’s functionality and correctness even if some components are imperfect and introduce occasional errors. We propose to separate performance goals from the correctness goal using an explicitly-decoupled architecture. In this paper, we discuss one such incarnation where an independent core serves as an optimistic performance enhancement engine that helps accelerate the correctness-guaranteeing core by passing high-quality predictions and performing accurate prefetching. The lack of concern for correctness in the optimistic core allows us to optimize its execution in a more effective fashion than possible in optimizing a monolithic core with correctness requirements. We show that such a decoupled design allows significant optimization benefits and is much less sensitive to conservatism applied in the correctness domain.
Behavior of ectopic surface: effects of β-adrenergic stimulation and uncoupling

By using both experimental and theoretical means, we have addressed the progression of ectopic activity from individual cardiac cells to a multicellular two-dimensional network. Experimental conditions that favor ectopic activity have been created by local perfusion of a small area of cardiomyocyte network (I-zone) with an isoproterenol-heptanol containing solution. The application of this solution initially slowed down and then fully blocked wave propagation inside the I-zone. After a brief lag period, ectopically active cells appeared in the I-zone, followed by evolution of the ectopic clusters into slowly propagating waves. The changing pattern of colliding and expanding ectopic waves confined to the I-zone persisted for as long as the isoproterenol-heptanol environment was present. On restoration of the control environment, the ectopic waves from the I-zone broke out into the surrounding network causing arrhythmias. The observed sequence of events was also modeled by FitzHugh-Nagumo equations and incl.
Synchronous Resonating Filter Based Online Estimation of the Rotor Resistance of Induction Motor Drives under Indirect Vector Control

The present work introduces a new filtering technique of electrical signals in indirect vector control drive. The filter is of resonating type and centre frequency is locked to the dominant frequency of the signals under consideration to create zero phase shift at that frequency. The filters are able to mitigate unwanted noise due to inverter switching and discrete computation. The filtered signals are utilized to estimate online the rotor resistance directly without using any observer and the response time of estimation is within order of second. The method is verified by simulation and experiment.
The complexity cross: implications for practice

Pundits’ statements about information systems often refer to the escalating complexity and concomitant loss of simplicity in dealing with these systems. Although all digital computing is based on simple binary concepts such as one or zero, on or off, and true or false, the world of computer ubiquity and rising interconnectedness seems to many to have grown beyond our grasp into something too complex for our own good, or at the least, not worth it. The rise of information system complexity, however, is driven by the incredible capabilities and opportunities computing offers us. Can there be a happy medium between computing complexity and simplicity—or is computing destined to become so complex as to overwhelm human ability to cope with it? Research performed in the mid-1990s and published in 1997 [8] introduced the “complexity cross,” a graphical representation of two fundamental aspects of information system architectures: component simplicity and system complexity. In short, as systems are transformed from centralized mainframe computers (complex components in a simple system) to distributed systems (simple components in complex systems), there is an optimum point at which the benefits of each architecture can be maximized. This research identified the factors that make an information system “complex” and prescribed ways this complexity can be reduced. Although the initial research focused primarily on software maintenance issues in distributed computing environments, the concept of the complexity cross has become even more important in today’s general computing environment, as systems continue to evolve from centralized to distributed. Today, data warehouses, enterprise systems, and extensive use of the world’s largest and most complex distributed system, the Internet, highlight the need to extend the complexity cross and its ramifications for information systems designers, managers, and researchers. Moreover, research in the fields of object-oriented design and distributed system design and management, and
Combining contemporary and ancient DNA in population genetic and 1 phylogeographic studies 2 3

17 18 Running head: Molecular polymorphism analysis of ancient DNA 19 20 The definitive version is available at www.blackwell-synergy.com 21 22 Non-standard abbreviations: 23 aDNA:ancient DNA; WF: Wright Fisher model; IMSM: infinitely many sites 24 (mutational) model; MRCA: Most Recent Common Ancestor; MCMC: Markov chain 25 Monte Carlo; ABC: approximate Bayesian computation. 26 27 Abstract 28 29 The analysis of ancient DNA in a population genetic or phylogeographic framework 30 is an emerging field, as traditional analytical tools were largely developed for the 31 purpose of analyzing data sampled from a single time point. The analysis of 32 heterochronous sequence data from closed panmictic populations has received 33 attention with Markov chain Monte Carlo (MCMC) approaches, but attributing 34 genetic differences between temporal samples to mutational events between time 35 points requires the consideration of other factors that may also result in genetic 36 differentiation. Geographic effects are an obvious factor for species exhibiting 37 geographic structuring of genetic variation, and departures such as this from a closed 38 panmictic model require researchers to either exploit software developed for the 39 analysis of isochronous data, take advantage of simulation approaches using 40 algorithms developed for heterochronous data, or explore approximate Bayesian 41 computation. Here we review statistical approaches employed and available software 42 for the joint analysis of ancient and modern DNA, and where appropriate we suggest 43 how these may be further developed. Author manuscript, published in "Molecular Ecology Resources 10 (2010) 760-772" 2 2 Introduction 45 46 Non-contemporaneous, or ancient DNA, is providing biologists with new and exciting 47 opportunities to investigate evolutionary pattern and process over a range of temporal 48 scales, from decades (e.g. Harper et al. 2006; Martinez-Cruz et al. 2007) to hundreds 49 of thousands of years (e.g. Willerslev et al. 2007). For the purposes of this paper we 50 define ancient DNA (hereafter aDNA) as DNA recovered from non-ideal biological 51 material – that is to say material that was not preserved or maintained in a manner 52 typically associated with downstream DNA analysis, for which the host organism is 53 no longer alive. Such material includes subfossil remains (typically bones and teeth), 54 archaeological remains, coproliths, mummies, naturally (i.e. not laboratory) frozen 55 remains, ice cores, sediments, museum and herbarium tissues. DNA extracted from 56 such material is typically low quality, with constraints upon both the amount and 57 integrity of the …
GENETIC LEARNING AUTOMATA AND FUZZY CLASSIFIER SYSTEM APPLIED TO ACTIVE CHASSIS SYSTEM

An application in the automotive filed for the Genetic Learning Automata with Fuzzy Classifier System is presented in this work. As a non-linear model free based strategy, the major advantages of this approach are its modularity and its extensibility. A controller designed using this method for a simple longitudinal vehicle dynamic model is applied to a non-linear model with 107 degrees of freedom giving a reasonable performance. Comparisons with a conventional controller are also carried out.
THE LEONARD BERNSTEIN ARTFUL LEARNING MODEL: A CASE STUDY OF AN ELEMENTARY SCHOOL

ii ACKNOWLEDGEMENTS iii LIST OF TABLES viii CHAPTER ONE: INTRODUCTION 1 The Bernstein Artful Learning Model 2 What is Artful Learning? 4 The Artful Learning Process 7 Experience 7 Inquiry 8 Create 9 Reflect 9 How Artful Learning Changed the Way I Teach 11 Purpose of the Study 13 Rationale 13 Research Questions 14 Definition of Terms 15 CHAPTER TWO: REVIEW OF LITERATURE 19 Introduction 19 The Arts in Comprehensive School Reform 19 The Role of the Arts in Creating a Culture of Learning 23 Student Engagement and the Arts 24 The Arts and Critical Thinking 25
Journal of Theoretical and Applied Information Technology Features Extraction Algorithm from Sgml for Classification

The basic phases in text categorization include preprocessing features, extracting relevant features against the features in a database, and finally categorizing a set of documents into predefined categories. Most of the researches in text categorization are focusing more on the development of algorithms and computer techniques. An algorithm for pre-processing features is seem to be like a "black-box" and ignored by them. Thus, it is significant and worthwhile to develop an algorithm for preprocessing features and finally can be used by other beginners before going in depth in the field of text categorization. This research proposes an algorithm for preprocessing features with capability of Microsoft . NET framework technology. The actual implementation shows that, this algorithm can extract interested features from the standard corpus of collection and upload into a relational database.
Joint Channel Estimation and Multiuser Detection for SDMA/OFDM Based on Dual Repeated Weighted Boosting Search

A joint channel estimation and multiuser detection (JCEMUD) scheme is proposed for multiuser multiple-input-multiple-output (MIMO) space-division multiple-access/orthogonal frequency-division-multiplexing (SDMA/OFDM) systems. We design a dual repeated weighted boosting search (DRWBS) scheme for JCEMUD, which is capable of providing “soft” outputs, which are directly fed to the forward error correction (FEC) decoder. The proposed DRWBS-JCEMUD scheme iteratively estimates the channel impulse responses and detects the users' transmitted signals while exploiting the error correction capability of an FEC decoder to iteratively exchange information between the detector and the estimator. Furthermore, the proposed DRWBS-JCEMUD scheme is capable of providing the log-likelihood ratios of the coded bits at low computational complexity (comparable with the single-user scenario), which can directly be fed to the FEC decoder. The simulation results demonstrate that the proposed DRWBS-JCEMUD scheme is capable of attaining a mean square error performance close to that of the ideal scenario of the least-square channel estimator associated with 100% pilot overhead and narrows the discrepancy with respect to the optimal maximum-likelihood (ML) MUD associated with perfect channel knowledge. As an example, at Eb/N0 = 10 dB, a factor-of-0.756 complexity reduction was achieved at the cost of a 1-dB performance penalty, in comparison with the ML-MUD.
Measuring the Effect of Filters on Segmentation of Developmental Dysplasia of the Hip

Background Developmental dysplasia of the hip (DDH) can be detected with ultrasonography (USG) images. However, the accuracy of this method is dependent on the skill of the radiologist. Radiologists measure the hip joint angles without computer-based diagnostic systems. This causes mistakes in the diagnosis of DDH. Objectives In this study, we aimed to automate segmentation of DDH ultrasound images in order to make it convenient for radiologic diagnosis by this recommended system. Materials and Methods This experiment consisted of several steps, in which pure DDH and various noise-added images were formed. Then, seven different filters (mean, median, Gaussian, Wiener, Perona and Malik, Lee, and Frost) were applied to the images, and the output images were evaluated. The study initially evaluated the filter implementations on the pure DDH images. Then, three different noise functions, speckle, salt and pepper, and Gaussian, were applied to the images and the noisy images were filtered. In the last part, the peak signal to noise ratio (PSNR) and mean square error (MSE) values of the filtered images were evaluated. PSNR and MSE distortion measurements were applied to determine the image qualities of the original image and the output image. As a result, the differences in the results of different noise removal filters were observed. Results The best results of PSNR values obtained in filtering were: Wiener (43.49), Perona and Malik (27.68), median (40.60) and Lee (35.35) for the noise functions of raw images, Gaussian noise added, salt and pepper noise added and speckle noise added images, respectively. After the segmentation process, it was seen that applying filtering to DDH USG images had low influence. We correctly segmented the ilium zone with the active contour model. Conclusion Various filters are needed to improve the image quality. In this study, seven different filters were implemented and investigated on both noisy and noise-free images.
Fast-forward video based on semantic extraction

Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home videos. These videos, also known as egocentric videos, are generally long-running streams with unedited content, which make them boring and visually unpalatable, bringing up the challenge to make egocentric videos more appealing. In this work we propose a novel methodology to compose the new fast-forward video by selecting frames based on semantic information extracted from images. The experiments show that our approach outperforms the state-of-the-art as far as semantic information is concerned and that it is also able to produce videos that are more pleasant to be watched.
Evaluating a Trainable Sentence Planner for a Spoken Dialogue System

Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rule-based approaches. In this paper We experimentally evaluate a trainable sentence planner for a spoken dialogue system by eliciting subjective human judgments. In order to perform an exhaustive comparison, we also evaluate a hand-crafted template-based generation component, two rule-based sentence planners, and two baseline sentence planners. We show that the trainable sentence planner performs better than the rule-based systems and the baselines, and as well as the hand-crafted system.
Adaptive scheduling in the cloud - SLA for Hadoop job scheduling

Hadoop is a progressively indispensable cloud-computing platform that several vendors have been offering as a service. When a consumer submits a job to Hadoop, there is no guarantee that the job will finish in a required amount of time. Given the immediate need to develop a mechanism to serve the Hadoop service with a standardized agreement between vendor and consumer, this paper proposes the Adaptive Scheduler (AS). The AS requires consumers to submit a Service Level Agreement (SLA) together with a job. The SLA is used to check whether the vendor can accommodate the job to meet the SLA. If it can, then the AS schedules and executes the job using the SLA. If not, the consumer is asked to negotiate with the AS to come up with an SLA that both parties could agree upon; pre-agreements between vendors and consumers benefit both parties. A comparative study of several existing schedulers in Hadoop demonstrates the advantages of the proposed AS.
Demo abstract - MediaScope: Selective on-demand media retrieval from mobile devices

Motivated by an availability gap for visual media, where images and videos are uploaded from mobile devices well after they are generated, we explore the selective, timely retrieval of media content from a collection of mobile devices. We envision this capability being driven by similarity-based queries posed to a cloud search front-end, which in turn dynamically retrieves media objects from mobile devices that best match the respective queries within a given time limit. Building upon a crowd-sensing framework, we have designed and implemented a system called MediaScope that provides this capability. MediaScope is an extensible framework that supports nearest-neighbor and other geometric queries on the feature space (e.g., clusters, spanners), and contains novel retrieval algorithms that attempt to maximize the retrieval of relevant information. From experiments on a prototype, MediaScope is shown to achieve near-optimal query completeness and low to moderate overhead on mobile devices.
Resource allocation and packet scheduling in OFDMA-based cellular networks

In this paper a study on different Radio Resource Management (RRM) methods employed in a multi-carrier cellular system is presented. This work focuses on the rate-adaptive resource allocation (sub-carriers and power), as well as the utilitybased packet scheduling algorithms. The objective of the paper is to study the trade-off between system spectral efficiency and fairness among the users when the considered algorithms are used.
Inhibition of CaMKIIα in the Central Nucleus of Amygdala Attenuates Fentanyl-Induced Hyperalgesia in Rats

Opioid-induced hyperalgesia (OIH) is a less-studied phenomenon that has been reported in both preclinical and clinical studies. Although the underlying cause is not entirely understood, OIH is a real-life problem that affects millions of patients on a daily basis. Research has implicated the important contribution of Ca2+/calmodulin-dependent protein kinase IIα (CaMKIIα) to OIH at the level of spinal nociceptors. To expand our understanding of the entire brain circuitry driving OIH, in this study we investigated the role of CaMKIIα in the laterocapcular division of the central amygdala (CeLC), the conjunctive point between the spinal cord and rostro-ventral medulla. OIH was produced by repeated fentanyl administration in the rat. Correlating with the development of mechanical allodynia and thermal hyperalgesia, CaMKIIα activity was significantly elevated in the CeLC in OIH. In addition, the frequency and amplitude of spontaneous miniature excitatory postsynaptic currents (mEPSCs) in CeLC neurons were significantly increased in OIH. 2-[N-(2-hidroxyethyl)-N-(4-methoxy-benzenesulfonyl)]-amino-N-(4-chlorocinnamyl)-N-methylbenzylamine, a CaMKIIα inhibitor, dose dependently reversed sensory hypersensitivity, activation of CeLC CaMKIIα, and mEPSCs in OIH. Taken together, our data for the first time implicate a critical role of CeLC CaMKIIα in OIH.
Farnesoid X Receptor and Liver X Receptor Ligands Initiate Formation of Coated Platelets

Objectives— The liver X receptors (LXRs) and farnesoid X receptor (FXR) have been identified in human platelets. Ligands of these receptors have been shown to have nongenomic inhibitory effects on platelet activation by platelet agonists. This, however, seems contradictory with the platelet hyper-reactivity that is associated with several pathological conditions that are associated with increased circulating levels of molecules that are LXR and FXR ligands, such as hyperlipidemia, type 2 diabetes mellitus, and obesity. Approach and Results— We, therefore, investigated whether ligands for the LXR and FXR receptors were capable of priming platelets to the activated state without stimulation by platelet agonists. Treatment of platelets with ligands for LXR and FXR converted platelets to the procoagulant state, with increases in phosphatidylserine exposure, platelet swelling, reduced membrane integrity, depolarization of the mitochondrial membrane, and microparticle release observed. Additionally, platelets also displayed features associated with coated platelets such as P-selectin exposure, fibrinogen binding, fibrin generation that is supported by increased serine protease activity, and inhibition of integrin &agr;IIb&bgr;3. LXR and FXR ligand-induced formation of coated platelets was found to be dependent on both reactive oxygen species and intracellular calcium mobilization, and for FXR ligands, this process was found to be dependent on cyclophilin D. Conclusions— We conclude that treatment with LXR and FXR ligands initiates coated platelet formation, which is thought to support coagulation but results in desensitization to platelet stimuli through inhibition of &agr;IIb&bgr;3 consistent with their ability to inhibit platelet function and stable thrombus formation in vivo.
Torque quality and comparison of internal and external rotor axial flux surface-magnet disc machines

In this paper, pulsating torque components of permanent magnet machines and pulsating torque minimization techniques are discussed for axial flux surface-magnet disc-type PM machines. The pulsating torque analysis describing general instantaneous electromagnetic torque equation and torque ripple factor is briefly provided in order to analyze torque ripple component. Detailed finite-element analyses focusing on the minimization of cogging and torque ripple components using several techniques are also given. A detailed comparison of the two techniques is also illustrated in this paper.