Miracle-dz/UniFAR-FTUs huggingface dataset:
BURIAL OF AN EARLY AMERICAN MAGICIAN

DURING the excavation of the Ridge Ruin, a small masonry house of Pueblo III age, located about 20 miles east of Flagstaff, Arizona, a most remarkable and unusual burial was found. The burial offerings, accompanying the remains of a man, numbered over 600 articles, many of which were of such fine workmanship and unique execution that it is our belief that this is the richest burial ever reported in the Southwest. While the beauty of some of the objects suffered from their long inhumation, enough of their original character has been retained so that reconstruction reveals how really remarkable the whole collection was. For such a multitude of beautiful objects to be buried with a southwestern Indian is most extraordinary in itself, and makes us wonder where they came from and why they were buried in this way. Shortly after the burial was excavated and the objects were cleaned and repaired, Miss Eleanor Bareiss, of Philadelphia, came to the Museum as a volunteer assistant. She undertook to make reconstruction drawings of the burial offerings, under the author's direction, and achieved the splendid results which illustrate this report. Our sincere thanks and deep appreciation are due Miss Bareiss for these fine drawings.
ROBUST CONTROL DESIGN METHODOLGY FOR THE 6 DOF FLIGHT-FORMATION OF PROBA-3

PROBA-3 is one of ESA’s technology demonstrators, which consists of two spacecraft flying in close formation in a highly elliptic orbit. Its aim is to create a Sun coronagraph instrument with the optical payload and the external occulter disc mounted on different spacecraft. One of its main challenges is to develop the GNC that maintains a flightformation during the apogee arc with very stringent attitude and relative position requirements. The flight-formation consists of aligning both spacecraft with the Sun vector, while maintaining a fixed distance with sub-millimetre precision. In addition, various technology demonstration manoeuvres will be performed for virtual structure simulation (rotating the formation, while maintaining a fixed distance), and virtual telescope focusing (resizing the formation, while keeping the Sun vector aligned). The control problem has been posed as a coupled 6 degreeof-freedom (6DoF) multi-input multi-output (MIMO) design task, which simultaneously takes care of both the attitude and the position. To meet the design specifications, modern HH∞and μμ-synthesis techniques have been utilised to obtain a robust controller. In addition, in-house developed simulation tools have been employed for validation purposes in a nonlinear environment. In this paper the step-by-step design techniques and accompanying tools used by SENER are presented, starting with the formulation of the control problem, working towards the justification of the designed controller, and resulting in a fully validated product both in frequency and time domain for integration with the full PROBA-3 system.
ect of the Addition of Natural Rice Bran Oil on the Thermal , Mechanical , Morphological and Viscoelastic Properties of Poly ( Lactic Acid )

For the first time in this study, the utilization of rice bran oil (RBO) as possible totally eco-friendly plasticizer for poly(lactic acid) (PLA) has been investigated. For comparison, the behavior of soybean oil (SO) has also been analyzed. Both oils are not completely miscible with PLA. However, certain compatibility exists between PLA and (i) RBO and (ii) SO, because demixing is not complete. Although not totally miscible, RBO and SO are able to reduce the viscosity of the PLA+RBO and PLA+SO mixtures, which attests that a small amount of RBO or SO can be successfully added to PLA to improve its processability. Additionally, the mechanical properties of the PLA+RBO and PLA+SO mixtures exhibit trends typical of plasticizer-polymer systems. More interestingly, RBO was found to accelerate the growth of PLA α’-crystals at a low crystallization temperature. This feature is appealing, because the α’-phase presents lower elastic modulus and higher permeability to water vapor in comparison to the α-phase, which grows at high temperatures. Thus, this study demonstrates that the addition of RBO to PLA in small percentages is a useful solution for a faster preparation of PLA materials containing mainly the α’-phase.
Aprimorando a Gerência e o Desenvolvimento de Software com Metodologias Ágeis

Este artigo aborda a melhoria da gerência e construção de software utilizando as metodologias ágeis eXtreme Programming e Scrum. São aplicadas as melhores práticas de ambas as metodologias em uma equipe de desenvolvimento de software, em um ambiente em que não havia nenhum processo bem definido de desenvolvimento de software. A escolha pelo uso das metodologias ágeis foi definida, pois atende ao dinamismo do cenário atual, requisitos voláteis, ambiente mais colaborativo e menos burocrático, tendo como objetivo principal o software em funcionamento e que realmente traga retorno ao cliente.
1 J 9 . 2 DEVELOPING A HIGH RESOLUTION PRECIPITATION DATASET FOR FLORIDA HYDROLOGIC STUDIES

Water resources are exerting an everincreasing impact on society. This is especially evident in areas where a growing population exceeds the natural water supply such that water shortages ensue. To manage and maintain a successful water balance, accurate rainfall measurements are needed. Florida’s precipitation occurs primarily during the summer months, generally associated with typical sea breezeinduced thunderstorms, but occasionally due to tropical systems such as hurricanes. This summer-time convection sometimes produces very heavy rainfall in short periods of time (> 1 in./h) over relatively localized areas. Such variability emphasizes the challenges of accurately describing and understanding the nature of Florida’s precipitation. It is economically unfeasible to maintain a network of gauges that fully captures the scale of rainfall in regions such as Florida. To overcome some of the gauge placement issues, remote sensing techniques have been introduced. Although radar has been utilized to estimate rainfall for several decades (e.g., Baeck and Smith 1998; Austin 1987; Doviak 1983; Wilson and Brandes 1979; Brandes 1975; Huff 1967), it was not until recently that radar has become a vital tool in hydrologic and atmospheric studies (e.g., Seo and Breidenbach 2002; Young et al. 2000; Seo et al. 1999; Fulton et al. 1998). In 1988 the National Weather Service (NWS) developed the operational Weather Surveillance Radar Doppler (WSR-88D). Although first deployed in 1991, most of the WSR88D radars became operational by 1996 (Fulton et al. 1998).
AN ACTIVITY THEORETICAL ANALYSIS OF THE PERSUASIVE WRITING OF EFL LEARNERS : EVIDENCE FROM SELF-REGULATED STRATEGY DEVELOPMENT MODEL OF INSTRUCTION

The present study examined the dominant persuasive writing activities of a group of EFL learners within the framework of self-regulated strategy development (SRSD) instructional model. To this end, 30 preintermediate EFL writers received a ten-session self-regulatory strategy development instruction on persuasive genre of writing with specific focus on strategies like planning, goal-setting, and monitoring. The learners who received SRSD instruction outperformed those who did not in writing persuasively. Additionally, the comparison of pretest and posttest scores on the persuasive probe revealed that SRSD instructional model resulted in prominent changes in the dominant persuasive writing activities of EFL learners. Moreover, the SRSD instructional treatment modified the past writing motivation of participants documented by an increase in their motivation as regards foreign language writing.
Big Data Analytics to Aid Developing Livable Communities

In transportation, ubiquitous deployment of low-cost sensors combined with powerful computer hardware and high-speed network makes big data available. USDOT defines big data research in transportation as a number of advanced techniques applied to the capture, management and analysis of very large and diverse volumes of data. Data in transportation are usually well organized into tables and are characterized by relatively low dimensionality and yet huge numbers of records. Therefore, big data research in transportation has unique challenges on how to effectively process huge amounts of data records and data streams. The purpose of this study is to conduct research on the problems caused by large data volume and data streams and to develop applications for data analysis in transportation. To process large number of records efficiently, the authors have proposed to aggregate the data at multiple resolutions and to explore the data at various resolutions to balance between accuracy and speed. Techniques and algorithms in statistical analysis and data visualization have been developed for efficient data analytics using multiresolution data aggregation. Results will be helpful in setting up a primitive stage towards a rigorous framework for general analytical processing of big data in transportation.
Potential Field Based Multi-Strategy Routing Protocol in WSN

In this paper, motivated by the centralized traffic pattern in the Wireless Sensor Network(WSN), we propose a unified implementation framework for routing protocols based on the concept of potential field in the physics.Utilizing various parameters and factors, the multi-strategy routing protocol constructs different virtual potential fields, which move the data packets along the direction of the steepest gradient in the field.In consequence, the traffic is aggregated in the Sink node which satisfies the basic requirements of routing, while the dynamic time-variant field provides kinds of additional strategies and attributes for optimization purposes of the protocols.These optimization targets include energy balance, congestion control, QoS support and data aggregation, all of which achieve the multi-strategy routing in the WSN.As a case, we present the Potential Based Real-Time Routing(PRTR) protocol, which minimizes the end-to-end delay of real-time packets and effectively alleviates the congestion for throughput improvement simultaneously.
Chapter 9 The translation network A model for a fine-grained description of translations

In this paper, I argue for the need for more complex models to describe actual translations (in aligned corpora) and present a particular proposal designed to ac­ complish such a description, termed the “translation network”. A translation net­ work joins models of the two languages involved, inspired by the aspectual net­ works of Moens (1987), and attempts to cater, in a systematic way, for many situa­ tions that occur in actual translation. This chapter is divided into four main sec­ tions. In Section 1 a brief description of many problems that are not addressed by simpler models of translation is presented. Section 2 represents the core of this chapter, describing how translation networks are composed. This description is il ­ luminated with examples from literary translations between English and Por­ tuguese. Section 3 critically reviews some problems with the model, before Sec­ tion 4 concludes with a short defense of it.
BLOCKCHAIN : A FURTHER STEP IN THE EVOLUTION OF IMPERSONAL EXCHANGES

The aim of this paper is to demonstrate the disruptive potential of Blockchain, namely the technology behind BitCoin. As Blockchain is a distributed, shared, encrypted-database that serves as an irreversible and incorruptible public repository of information, it is possible to apply such an innovative technology on many legal grounds, like Contract Law, Property Law, Corporate Governance. In particular this paper is focused on two main features of the said technology: to provide (an algorithmic) trust which can deeply reduce (and sometimes remove) the need for a third enforcing party, such a central authority; to produce better and much more verifiable information through a complex cryptographic mechanism which makes every Blockchain-based ledger incorruptible. The paper is divided into five sections. Section 1. refers to a short description of the Blockchain technology. Sections 2.1. and 2.2. introduce the main applications of Blockchain, with a specific focus on the idea of Smart Contracts. Sections 3.1 and 3.2. , by referring to the meaning of trust in relation to the notions of risk, uncertainty and transaction costs, describe Blockchain as a new form of legal institution, according to Douglas C. North’s theory of the impersonal exchanges. The Author graduated in Law at University of Pisa in September 2015 with a thesis on Private Law (Tort Law) and Environmental Law. At the moment he is writing a research project for a Doctorate in Law focused on the legal implications of the Blockchain technology, in particular in relation to a better definition of Property Rights on digital assets. For a better knowledge of the Common Law system, the Author is conducting his research in Ireland (from January to June 2016) thanks to an Erasmus Traineeship Program for post-graduate students. Blockchain: a further step in the evolution of the impersonal exchanges1
Power-efficient 1∶1 protection routing and wavelength assignment in WDM optical networks

The protection lightpaths in 1∶1 protection and shared protection are "virtual" in fault-free case.Based on this,we propose a power-efficient routing and wavelength assignment approach for 1∶1 protection,called PA algorithm,which aims to maximize the usage of active fibers carrying working lightpath,minimize the number of active optical repeater devices,and hence that reduce the electricity power consumption of an optical network.Simulation results indicate that the new approach can achieve significant power saving compared with the traditional approach,which reduces over 40% power consumption of optical repeaters.
Research on autogenerating test paper based on simulating annealing genetic algorithm

Autogenerating a test paper from a test database,which satisfies multiple requirements is a combinatorial optimization problem.The characteristics of some existing algorithms of autogenerating a test paper is investigated and using a real code based simulating annea-ling genetic algorithm to address this problem is proposed.In order to adjust each individual of the group and improve the performance of a single genetic algorithm,the proposed algorithm combines the genetic algorithm with the simulating annealing method.Compared with the existing genetic algorithms,the proposed algorithm overcomes the premature convergence phenomenon more easily and it im-proves the success rate and the efficiency of autogenerating a test paper as well.
Blockade of Muscarinic M1 Receptors Disrupts Performance on an Attention-Demanding Visual Discrimination Task

PAGE Previous studies have shown that muscarinic receptor blockade decreases signal detection in a sustained attention task that requires discrimination of visual signals from trials with no signal presentation. However, the exact role of specific muscarinic receptor subtypes in attentional performance remains unclear. The present experiments examined the effects of blocking M1 receptors on attentional performance in rats. Rats were trained in a two-lever sustained attention task that required discrimination of visual signals (500, 100, 25 ms) from “blank” trials when no signal was presented. In Experiment 1, rats received the M1 receptor antagonist, dicyclomine (0, 0.625, 1.25, 2.5, and 5.0 mg/kg; ip), prior to performance in this task and prior to performing the task with a houselight flashing throughout the session or with a shorter intertrial interval. Dicyclomine (5.0 mg/kg) decreased the detection of signals in the standard task when compared to vehicle. Similarly, accuracy was decreased following 5.0 mg/kg dicyclomine compared to vehicle with a shorter intertrial interval, however, the deficit was only observed following the 100 ms signal. In the distracter task, when vehicle was compared to drug treatment, animals exhibited significant signal detection deficits at lower doses compared to the standard task. In Experiment 2, a guide cannula was surgically implanted into either the right or left ventricle of rats after reaching stable performance levels. All animals received infusions of the M1 receptor antagonist, pirenzepine (0, 10, 30, and 60 pg) prior to performing the standard attention task. Pirenzepine decreased accuracy of detecting the 500 ms signal following the highest dose (60 pg) when compared to vehicle. The lack of effects of dicyclomine and pirenzepine on trials with no signal presentation or on omissions suggests that M1 receptor blockade does not disrupt motoric functioning, motivation or the ability to respond based upon the rules of the task. The present results suggest that M1 receptors critically contribute to attentional processing mediated by the central cholinergic system.
Integrasi Metode Clustering dan Klasifikasi untuk Data Numerik

Data growth is increasing from year to year in size and complexity, the search techniques that efficiently and effectively needed for the processing of such data. Accuracy is one of the indicators in assessing an algorithm. The comparison is done by looking at the level of accuracy. Level accuracy approaching 100% indicating the precision in the development of the model. Integration method of classification and clustering is done to improve the results the accuracy of classification methods. Integration of classification and clustering method for numerical data by using the K-means algorithm, Naive Bayes and 4.5 C can improve the accuracy value of 50% of the value of the initial accuracy. Intisari— Pertumbuhan data meningkat dari tahun ketahun dalam ukuran dan kompleksitas yang tinggi, pencarian teknikteknik yang efisien dan efektif diperlukan untuk pengolahan data tersebut. Tingkat akurasi merupakan salah satu indikator dalam menilai sebuah algoritme. Pembanding dilakukan dengan melihat tingkat akurasi. Tingkat akurasi yang mendekati 100% menunjukkan ketepatan dalam pembangunan modelnya. Pengintegrasian metode klasifikasi dan clustering dilakukan untuk meningkatkan hasil akurasi dari metode klasifikasi. Integrasi metode klasifikasi dan clustering untuk data numerik dengan menggunakan algoritme K-means, C4.5 dan Naive Bayes dapat meningkatkan nilai akurasi sebesar 50% dari nilai akurasi
Exploring the E ffi ciency of Big Data Processing with Hadoop MapReduce

Processing Big Data has throughout history always been a challenge for scientists, in both the academia and the industry. Hadoop MapReduce is a commonly used engine used to process Big Data. The Hadoop MapReduce framework uses a distributed file system to read and write data, called the Hadoop Distributed File Systems. It is also assumed that the software in the framework is reliable and fault tolerant. As the authors of the related paper state, Hadoop MapReduce often lack of appropriate indexes. Hadoop MapReduce has a performance problem due to its data layout and indexing, we want to combine an appropriate indexing technique and data layout of the database with Hadoop MapReduce in order to increase job performance and query processing. This project will take a theoretical approach since it is hard to implement an application considering the size of the data set that will be handled.
Evaluation of the Labour Court as an Instrument for Dispute Resolution in Zimbabwe

This article reviews the legal framework for labour dispute management in Zimbabwe. In evaluating the labour court, Trudeau’s framework was adopted looking at the speed, accessibility and effectiveness of the labour court in Zimbabwe as an instrument for workplace dispute resolution. Results showed that in terms of speed, the labour court has been faced with a backlog of cases. In terms of access, the labour court is accessible to all parties and is effective in handling workplace cases.
Surgical management of ulcerative colitis : a short review and a retrospective analysis of our experience at the University Medical Center Ljubljana

Background. Ulcerative colitis requires surgical therapy in about a third of patients. A staged colectomy with end ileostomy should be performed in the acute setting, whereas a total proctocolectomy with ileal pouch–anal anastomosis is the current gold standard in the elective setting. Overall morbidity after surgery of ulcerative colitis is high. Surgical treatment in acute setting results in a higher incidence of postoperative complications as well as higher mortality rates. The laparoscopic approach tends to lower the incidence of septic complications and shortens the hospital stay.
Knowledge of Osteoporosis among Women in UAE

Osteoporosis (OP) is a chronic progressive disease. The current study was conducted to assess knowledge about Osteoporosis among women aged more than 40 years in UAE, to identify their source of knowledge and to assess the impact of some variables on their level of knowledge.A cross-sectional, observation study was performed as the method of data collection. Convenient samples of 368 questionnaires were collected out of 500 as the method of data collection. SPSS version 20 was used for data entry and analysis.Participating women were sub-divided into two categories, pre-menopause 232 and post-menopause 136. Out of the 232 premenopausal women, (82.76%) scored within the high knowledge category, while only (17.24%)) scored within the poor knowledge category. While for the post-menopause women, (72.79%) scored within the high knowledge category, while (27.21%) scored within the poor knowledge category.
Diffusion to Vector – Scalable Representation Learning of Graphs

School of Informatics Master of Research in Data Science Diffusion to Vector – Scalable Representation Learning of Graphs by Benedek András Rózemberczki A large number of complex networks has no generic vertex attributes that can be used in network analysis. This means that one has to generate vertex features purely using the topological properties of nodes. One way to extract such features is the creation of a graph embedding. A graph embedding is a representation of the graph in a latent space created by a graph embedding procedure. This representation maintains the distances observed on the graph in the latent space. A type of graph embedding procedures uses features extracted from linear sequences of vertices to create embeddings – these are the so called vertex sequence based embedding procedures. Earlier approaches to sequence based graph embedding are poorly parallelizable, require complicated preprocessing and slow down under some realistic assumptions about graph evolution. In this paper, we propose two diffusion based network embedding algorithms, ED2V and FD2V, that are parallelized, require straightforward pre-processing and their performance is fairly robust to graph evolution. In our experiments we start with showing that our algorithms have consistently good computational performance and they are quite robust to graph densification. After this, we provide evidence that our procedures preserve graph distances and centralities in the embedding space. Finally, in a comprehensive investigation we prove the high quality of representations generated with our approach on a number of downstream machine learning applications. We evaluated features extracted with our embedding methods by performance on multi-label node classification, community detection and edge prediction. Our algorithms are on par with the state of the art sequence based embedding method described by Grover & Leskovec (2016) and on certain tasks and benchmark networks outperform it.
Learning Concepts: A Learning-Theoretic Solution to the Complex-First Paradox

Children acquire complex concepts like dog earlier than simple concepts like brown, even though our best neuroscientific theories suggest that learning the former is harder than learning the latter and, thus, should take more time (Markus Werning). This is the complex-first paradox. We present a novel solution to the complex-first paradox. Our solution builds on a generalization of Fei Xu and Joshua B. Tenenbaum’s Bayesian model of word learning. By focusing on a rational theory of concept learning, we show that it is easier to infer the meaning of complex concepts than that of simple concepts.