Miracle-dz/UniFAR-FTUs huggingface dataset:
A Computer Language Transformation System Capable of Generalized Context-Dependent Parsing

Source transformation systems are special-purpose programming languages, or in some cases suites of languages, that are designed for the analysis and transformation of computer languages. They enable rapid prototyping of programming languages, source code renovation, language-to-language translation, design recovery, and other custom analysis techniques. With the emergence of these systems a serious problem is evident: expressing a parser for common computer languages is sometimes very difficult. Source transformation systems employ generalized parsing algorithms, and while these are well suited for the kind of agile parsing techniques in use by transformation practitioners, they are not well suited for parsing languages that are context-dependent. Traditional deterministic parser generators do not stumble in this area, but they sacrifice the generalized parsing abilities that transformation systems depend on. When it is hard to get the input into the system as a correct and accurate parse tree the utility of the unified transformation environment is degraded and more ad hoc approaches become attractive for processing input. This thesis is about the design of a new computer language transformation system with a focus on enhancing the parsing system to support generalized context-dependent parsing. We argue for the use of backtracking LR as the generalized parsing algorithm. We present an enhancement to backtracking LR that allows us to control the parsing of an ambiguous grammar by ordering the productions of the grammar definitions. We add a i grammar-dependent lexical solution and integrate it with our ordered choice parsing strategy. We design a transformation language that is closer to general-purpose programming languages, yet enables common transformation techniques. We add semantic actions to our backtracking LR parsing engine and encourage the modification of global state in support of context-dependent parsing. We introduce semantic undo actions for reverting changes to global state during backtracking, thereby enabling generalized context-dependent parsing. Finally, we free the user from having to write undo actions by employing automatic reverse execution. The resulting system allows a wider variety of computer languages to be analyzed. By focusing on improving parsing abilities and moving to a transformation language that resembles general-purpose languages, we aim to extend the transformation paradigm to allow greater use by practitioners who face an immediate need to parse, analyze and transform computer languages.
LASER EXCISION OF ORAL PYOGENIC GRANULOMA: A CASE REPORT

The pyogenic granuloma (PG) is primarily an oral disease, relatively common, tumor-like, exuberant tissue response to localized irritation, physical trauma or hormonal factors. Oral PG occurs predominantly on the gingiva, but it is also encountered on the lips, tongue, buccal mucosa and rarely on the hard palate. The peak prevalence of PG is in teenagers and young adults and has more predilection towards females. The most common treatment of PG is surgical excision but alternative approaches, especially laser excision has also been proposed in lieu of better patient acceptance from the functional and esthetic point of view. We report a rare case of pyogenic granuloma in a 60-year-old patient, which was successfully treated by diode laser. Diode laser surgery appears to be a suitable option to conventional surgical excision as it presents numerous intra-operative and post-operative benefits. Keywords: Pyogenic granuloma, Diode laser.
Schulz and Peanuts: A Biography

Charles Schulz, the most widely syndicated and beloved cartoonist of all time, is also one of the most misunderstood figures in popular culture. Now, acclaimed biographer David Michaelis gives us the first full-length biography of Schulz: at once a creation story, a portrait of a hidden genius, and a chronicle contrasting the private man with the central role he played in shaping the imagination of a generation and beyond. The son of a barber, Schulz was born in Minnesota to modest, working class roots.In 1943, just three days after his mother's tragic death from cancer, Schulz, a private in the army, shipped out for boot camp and the war in Europe. The sense of shock and separation never left him. And these early experiences would shape his entire life. With "Peanuts", Schulz embedded adult ideas in a world of small children to remind the reader that character flaws and childhood wounds are with us always. It was the central truth of his own life, that as the adults we've become and as the children we always will be, we can free ourselves, if only we can see the humor in the predicaments of funny-looking kids. Schulz's "Peanuts" profoundly influenced popular culture in the second half of the 20th century. But the strip was anchored in the collective experience and hardships of Schulz's generation-the generation that survived the Great Depression and liberated Europe and the Pacific and came home to build the postwar world.
A Framework for Web and Mobile Volunteered Geographic Information Applications

dcc.ufmg. br Abstract. This paper proposes a framework to be used in the creation of various volunteered geographic information applications, incorporating both Web-based tools and mobile applications (apps). The framework includes the elements required to customize the information collection, while using a unified structure and interface across Web and mobile platforms. We demonstrate the use of the proposed framework in an application, named Strepitus, which gathers information on noise sources, so that users can report abusive sources of noise disturbance. The framework's elements and the components of Strepitus are presented in tandem, so that the design decisions are made clear. We observe that the framework allows for a quick development of new VGI applications, and this is important for capturing data on phenomena of current interest for the users, thus helping to maximize the number of volunteered contributions.
A two-dimensional, distributed logic processor for machine vision

A very-fine-grained architecture which can solve certain two-dimensional machine vision problems very efficiently is discussed. The architecture maintains both a high degree of flexibility and fine-grainness. This is done by reducing each processor to an associative memory cell. However, unlike classical associative memory processors, the present processor uses a two-dimensional nearest-neighbor interconnect. Arithmetic operations are based on the use of a redundant number system and a physically compact memory word structure. These features provide a high level performance. <<ETX>>
Is Infrastructure: The Influence of Senior it Leadership and Strategic Information Systems Planning

The integration of information systems (IS) across the entire enterprise has become one of the most important technology management challenges in complex organizations. Many companies have placed the development and implementation of a highly integrated IS infrastructure among the top concerns of their overall IT management practice. This paper reports on an empirical investigation of the influence of senior IT leadership and strategic information systems planning (SISP) on the level of implementation of the IS infrastructure. The resulting model shows the importance that SISP plays in the relationship between senior IT leadership and the extent of an integrated IS infrastructure. The findings indicate a moderate relationship between the factors of senior IT leadership (the importance of the CIO and the presence of a varied IS advisory committee) and SISP, and a strong relationship between SISP and three aspects of IS infrastructure (technical integration, application functionality, and data integration).
ARTERIAL PROBABILISTIC TRAFFIC MODELING AND REAL-TIME TRAVEL TIME PREDICTION WITH VEHICLE PROBE DATA USING MACHINE LEARNING

The Title of Document: ARTERIAL PROBABILISTIC TRAFFIC MODELING AND REAL-TIME TRAVEL TIME PREDICTION WITH VEHICLE PROBE DATA USING MACHINE LEARNING Bahar Zarin, Ph.D., 2018 Directed By: Prof. Ali Haghani, Department of Civil and Environmental Engineering This study proposes a probabilistic modeling framework for the estimation and prediction of link-based arterial travel time distribution using GPS data. The spatiotemporal correlations of the network are modeled using a directional acyclic graphical model, and several external variables in the prediction model are included to yield a better prediction in a variety of situations. This study also aims to investigate the effects of each factor on the travel time and the uncertainty associated with it. In the proposed model, factors such as weather conditions, seasons, time of day, and day of the week are added as external variables in the graphical model. After determining the structure of the model, Streaming Variational Bayes (SVB) is used for training and parameter inference; this offers a valuable option when constant streaming data is utilized. SVB adaptively changes its parameters gradually with a lower computational cost, which makes the process less time-consuming and more efficient. The analysis shows that incorporating external variables can improve the model performance. The data used in this study is INRIX vehicle trajectory raw data from four months – February, June, July, and October of 2015 – which makes it possible to take into account the effects of seasons and weather conditions on travel time and its uncertainty. One of the products of this study is a framework for vehicle trajectory data cleaning process including trip identification, removing outliers, and cleaning the trips data. Once the data are cleaned and ready to use, they should be mapped to the roads. The Hidden Markov Model (HMM) map matching algorithm is used to map the GPS latitude/longitude data to the Open Street Map (OSM) base map and find the traversed links between each pair of GPS points of vehicle trajectories. Finally, a novel procedure to compare any travel time prediction model with any available commercial routing API is proposed and tested to compare the proposed model with Google API. ARTERIAL PROBABILISTIC TRAFFIC MODELING AND REAL-TIME TRAVEL TIME PREDICTION WITH VEHICLE PROBE DATA USING MACHINE LEARNING
The Combinated Treatment of Limb Ischemic Precondi-tioning and Secondary Prevention of Strokethe Short-term Outcomes of Servere Cerebral Vascular Stenosis and Occlusion

Objective limb ischemic preconditioning has been proved as an effective neuroprotective modality in stroke animal models.We use the method to treat patients with severe stenotic or occlusion lesions in cerebral arteries to investigate the safety and short-term outcomes.Methods 16 patients with proved severe stenotic or occlusion cerebral artery lesions were enrolled and randomized into preconditioning group(n=8) and control group(n=8). All patients in both groups received standard secondary prevention therapy of stroke.Patients in the preconditioning group received limb ischemic preconditioning for 6 months.Incidence of cerebrovascular accidents,improvement rate of symptoms,mRS score and severity of stenotic cerebral vessel at 6 months were recorded.Serum cAMP,HIF-1 and VEGF were measured at baseline and 6 months.Results No cerebrovascular accident happened in both groups;the improvement rate of symptoms in preconditioning group and control group were 87.5%,and 62.5% respectively(P0.05). The severity of stenotic cerebral vessel wasn't significantly different with baseline datas in both groups(p0.05). In preconditioning group serum cAMP at 6 months was significant higher than baseline(5.8±2.2 vs 8.9±2.7nmol/L,P0.01);HIF-1 and VEGF showed no significant changes.cAMP,HIF-1 and VEGF weren't changed significantly before and after treatment in control group.Conclusion remote limb ischemic preconditioning can improve the symptom of patients with severe stenotic or occlusion cerebral artery lesions.The mechanism of the method may be correlated with the increase of serum cAMP.
The book publishing industry

Chapter 1 Book Publishing: An Introduction Chapter 2 New Title Output, Book Categories and Prices, Economic Data, Sales, Returns, and the Channels of Distribution Chapter 3 The Development of Modern Book Publishing Companies: History and Analysis Chapter 4 Business Operations Chapter 5 The Editorial Process Chapter 6 Editors, Bok Acquisitions, production, Operations, and Costs Chapter 7 Marketing and Selling Books Chapter 8 The Book Publishing Confronts the Twenty-First Century's Challenges Glossary Appendix Bibliography
Gedrag van pekingeenden met variatie in drinkwatersysteem en bodembedekking

Op initiatief van en financiering door de afdeling Welzijn Landbouwhuisdieren van de Veterinaire Dienst van het Ministerie van LNV heeft het Praktijkonderzoek voor de Pluimveehouderij onderzoek gedaan naar het gedrag van mesteenden. De resultaten van het onderzoek zijn van belang voor de invulling van de Gezondheids- en Welzijnswet voor Dieren. Het onderzoek moet uiteindelijk bijdragen tot huisvestingssystemen voor eenden, die voor de Overheid aanvaardbaar en voor de eendenhouders aantrekkelijk zijn. Hoe het ook zij, de resultaten van dit onderzoek geven voldoende stof tot nadenken en aanleiding tot discussie
Statics of Frameworks and Motions of Panel Structures: A projective Geometric Introduction

Deux domaines traditionnellement &pares, la statique de charpentes faites debarres et de joints et la cinematique instantanee de structures a panneaux articuIes sont ici reunis dans une approche nouvelle et appropriee de la geometrie projective. Nous nous servons de I’algebre exterieure (ou algebre de Cayley) pour representer I’equilibre des charges et des contraintes statiques sur une charpente faite de barres et de joints, et pour representer les mouvements instantanees d’une structure a panneaux articules. Dans le cas particulier d’une charpente et d’une structure a panneaux, construites I’une sur le squelette des aretes, I’autre sur la configuration des faces d’un polyedre spherique, nous montrons un isomorphisme algebrique naturel entre les contraintes statiques de la charpente et les mouvements instantanees de la structure a panneaux. Avec une condition projective simple sur la contrainte, I’isomorphisme s’etend aux charpentes et structures a panneaux basees sur des polyedres quelconques orientes.
Elastic Lidar Theory Practice And Analysis Methods

Thank you very much for downloading elastic lidar theory practice and analysis methods. Maybe you have knowledge that, people have look hundreds times for their favorite readings like this elastic lidar theory practice and analysis methods, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some harmful bugs inside their laptop.
Inter-vehicle communications - achieving safety in a distributed wireless environment. Challenges, systems and protocols

This thesis contributes to the development of inter-vehicle communications with the goal of enhancing vehicular active safety. The wireless technology IEEE 802.11p is analyzed with an extended network simulator. As a result, challenges and design criteria for vehicular communication systems are defined. Finally, strategies for channel congestion avoidance and information dissemination are proposed, constituting a robust design to cope with unreliable and saturated wireless channel conditions.
Recreational Travel and the Elderly: Marketing Strategies with a Normalization Perpective

Research suggests that elderly travelers may differ from other travel segments of the population. A desired approach toward service provision is based on meeting individual needs and interests of the elderly traveler, but avoids stressing "differentness" as much as possible. A marketing mix directed toward this population, including the product, place, price, and promotion associated with the travel service, enables the director to successfully meet the travel needs and interests of the elderly. Travel directors must also work to ensure that travel experiences are appropriate and meaningful, stressing respect and dignity for the elderly.
La New economy: un simple boom d'investissement ?

A la question de savoir ce qu'est la New economy, nous repondons en proposant une double distinction : (i) la distinction des discours tenus sur l'economie U.S. des annees quatre-vingt dix et des caracteristiques "reelles" de cette economie, et (ii) la distinction de trois acceptions ou trois formes de discours visant la New economy.Apres avoir rendu compte de ses performances et les avoir relativisees, nous plaidons en faveur d'une approche eclectique de la dynamique de l'economie U.S. durant la decennie quatre-vingt dix. Elle consiste a reconnaitre le jeu simultane de trois categories de facteurs : des facteurs de moyenne periode induisant un cycle de surinvestissement, des facteurs de longue periode caracteristiques d'une evolution technologique historique, et des facteurs contingents jouant de facon favorable ou defavorable.Cette analyse a des prolongements quant a l'analyse que l'on peut faire de la post New economy, c'est-a-dire de la periode actuelle marquee par un ralentissement conjoncturel susceptible de deboucher sur une recession. Notre opinion est que cette periode ne marque pas, en un certain sens, la fin de la New economy.
Optimization and real-time implementation of video processing algorithms for camera-based respiration monitoring

Several non-contact based respiration monitoring algorithms have been developed at Philips. This thesis presents the porting and optimization of such algorithms, work that has been done in the Patient Care & Measurements department at Philips Research in Eindhoven. The ProCor and AutoROI algorithm implementations have been ported on an embedded platform. Moreover, different parallelization strategies have been proposed and an attempt has been made to use other SoC components than the CPU in order to balance the utilization. A large part of the application has been ported on the Graphical Processing Unit. The overall execution time has been improved by over 3 times for an input of 768x576 pixels and a division of the frame in 1728 rectangles, making it real-time with respect to the needed framerate for respiration monitoring(7 fps). Moreover, the responsible CPU core works now at 40% compared to 100%. New methods to capture frames from the camera have been implemented that provide possibility for 8 times higher framerate and, also, direct control of camera settings through the application. The ability to stream captured images through network has also been achieved. ii Optimization and real-time implementation of video processing algorithms for camera-based respiration monitoring
Skinscape: A Tool for Composition in the Tactile Modality

The sense of touch has been relatively unexplored as a compositional medium. This raises the question: Is the skin capable of understanding and ultimately appreciating complex aesthetic information? Evidence from a number of psychophysical studies on the sense of touch suggests that it is. The technology for tactile composition is currently available; the possibilities for applying this technology in an artistic context have presumably been overlooked. Hence, this paper represerts a shift in focus toward more abstract applications of haptic and tactile stimulation technology. Tactile composition is approached as a multimodal activity involving the senses of hearing and touch essentially "cutaneous choreography" to music. The use of several psychophysical dimensions of tactile stimuli as basic vocabulary elements in a compositional language for the sense of touch is investigated. A number of theoretical issues surrounding tactile composition are explored, including cross-modal interactions between audition and touch, the affective response to tactile composition, and the feasibility of exclusively tactile composition. The design and functionality of a system that facilitates composition in the tactile modality is described. The system consists of a vibrotactile stimulator capable of delivering a wide range of spatio-temporal patterns to the surface of the body, as well as a software / hardware control system and a software composition environment which allows a user to compose for the device along with a previously recorded audio track. Initial tests of the system demonstrate its ability to generate aesthetically pleasing, perceptually engaging tactile compositions. The potential applications for this technology are myriad. Tactile composition has especially far reaching implications for the hearing impaired community and for immersive cinema. Thesis Advisor: Glorianna Davenport, Professor of Media Arts and Sciences, Principal Investigator, Interactive Cinema Group, MIT Media Laboratory
Advanced Bag-of-Temporal-SIFT-Words for Time Series Classification

Time series classification is an application of particular interest with the increase of data to monitor. Classical techniques for time series classification rely on point-to-point distances. Recently, Bag-of-Words approaches have been used in this context. Words are quantized versions of simple features extracted from sliding windows. The SIFT framework has proved efficient for image classification. In this paper, we design a time series classification scheme that builds on the SIFT framework adapted to time series to feed a Bag-of-Words. We then refine our method by studying the impact of normalized Bag-of-Words, as well as densely extract point descriptors. Proposed adjustements achieve better performance. The evaluation shows that our method outperforms classical techniques in terms of classification.
Os efeitos de um treinamento de percepção na aquisição de pré-proparoxítonas inglesas por brasileiros

This study investigates the effects of perceptual training on the acquisition of English words stressed on the fourth syllable from the end by Brazilian speakers. The initial hypothesis is that Brazilian speakers store few examples of this kind of word stress due to the fact that this pattern is very uncommon in their first language. The training was designed with identification tasks with immediate feedback which were given in five sections. Results confirm significant effects of training on the improvement of perception and production. Moreover, production improvement is generalized to new words and retained for a period of two months after the end of the training. We believe that due to the frequent use of this stress pattern the training enabled the participants of this study to create a category of words stressed on the fourth syllable from the end.