Miracle-dz/UniFAR-FTUs huggingface dataset:
Assemblage dirigé d'objets à partir de solutions colloïdales

L'integration de nano-objets dans des systemes fonctionnels a l'echelle nanometrique est un serieux challenge a relever pour les applications qui exploitent leurs proprietes uniques. Ces objets peuvent etre de natures diverses et variees, des nano-particules, des proteines, des molecules. De nombreuses problematiques visent a assembler sous forme 2D ou 3D ces nano-objets en suspension dans un liquide sur des surfaces solides. Leur integration depuis cette phase liquide sur une surface solide, demeure une operation sensible. Une attention toute particuliere est alors mise sur l'assemblage de biomolecules ou de nano-particules pour des applications tournees vers l'analyse biologique et le diagnostic medical, mais aussi vers la fabrication de systemes micro-nano systemes electromecaniques specialises. Le travail presente dans cette these s'inscrit dans cette problematique, il consiste a etudier, comprendre et modeliser les mecanismes physiques mis en jeu dans la technique d'assemblage dirige par capillarite (mouillabilite, piegeage de la ligne triple sur des motifs artificiels, flux convectifs au sein de la solution). Pour cela nous avons concu et assemble un systeme experimental d'assemblage capillaire. Un volet technologique a egalement ete developpe afin de creer des motifs de piegeage par des methodes de nanolithographie. Le dernier volet du travail de recherche que nous avons effectue est de nature plus applicative, nous montrons comment un tel procede peut etre utilise afin d'assembler des nano-objets d'interet, autres que des nanospheres parfaites. Nous avons en particulier etudie l'assemblage de brins d'ADN permettant leur peignage organise sur une surface ainsi que l'assemblage de nanotubes de carbone.
1997 BROADCAST NEWS BENCHMARK TEST RESULTS: ENGLISH AND NON-ENGLISH

This paper documents use of Broadcast News test materials in DARPA-sponsored Automatic Speech Recognition (ASR) Benchmark Tests conducted late in 1997. This year's English-language tests differed from last year's in that statistical selection procedures were used in selecting a three-hour test set comprised of 158 story-length segments, in contrast to last year's two-hour test set which was comprised of 4 half-hour segments. The increased number of segments is intended to provide a better statistical sampling of story-length segments and a statistically-equivalent reserve test set for a future evaluation. The lowest word-error rate reported this year was 16.2%, contrasting with last year's lowest word error rate of 27.1%. In part, this apparent im provement is due to the much greater proportion of well-recognized F0 data present in the test set. This, in turn, is due to an effort to "balance" the test pool to match the properties of the training data. New this year was the completion of tests in languages other than English Mandarin and Spanish.
Fast fits--new methods for dynamic storage allocation

A cartesian tree can be used to manage a pool of storage so that typically the allocation or release of a variable-length area takes time O(logM), where M = number of discontiguous available blocks. It neither incurs the spacial penalty of 'Buddy' methods nor has the restrictions associated with tags. It can support the same programming interface that is conventionally associated with 'First Fit', without using additional storage, and with much better performance when M is large. 1. Preamble Consider a storage allocation routine which manages a 'pool' of storage, and has two entry points named (say) allocate and release, which may be called from divers other programs. Allocate is called when a program requires a piece of storage for its own use: the calling program supplies the length needed, and the storage allocation routine finds an available piece in the pool and provides its address. Release is called when a piece that was previpusly allocated is no longer required and can therefore be made available for reallocation: in this case the calling program supplies both the address and the length. Storage allocation routines of this general kind exist in most operating systems and in many other programs. This paper presents a data stru,cture, and some new algorithms, for implementing them.
SPECTRUM OCCUPANCY DETECTION FOR COGNITIVE RADIOS USING WAVELET TRANSFORM ANALYSIS

A communication path selection method for sending a message between a sending communication device and a receiving communication device in a communication network includes a link aggregation group bitmap, identifying all communication paths belonging to a link aggregation group, and a trial destination bitmap, identifying all communication paths identified as trial destination paths by a routing mechanism in the sending communication device. The link aggregation group communication paths are compared to the trial destination communication paths and if at least one path belongs to both groups, a path selection table is enabled to provide a path number identifying the selected communication path by which the message is to be sent.
Introduction to Radio Propagation for Fixed and Mobile Communications

From the Publisher: Gain a better understanding of the propagation effects you're likely to encounter when working in fixed-link and mobile radio systems with this clear, practical guide. Without relying on complex explanations and obscure theory, the author first explores fixed-link propagation and then relates those concepts to the more complex situations you face in the mobile environment. You learn how and why propagation occurs, and discover useful techniques for minimizing transmission degradation and optimizing signal performance. Key topics include:  The radio refractive index (RRI)  Basic system planning techniques  The pros and cons of path loss predictions  The potential problems of in-building transmission  Why transmission constraints are greater in mobile than in fixed-link systems Especially useful for engineers who are new to mobile communications, technical managers needing an understandable overview, and graduate level students in communication engineering.
Development of tag sets for part-of-speech tagging

This article discusses tag sets used when PoS-tagging a corpus, that is, enriching a corpus by adding a part-of-speech tag to each word. This requires a tag-set, a list of grammatical category labels; a tagging scheme, practical definitions of each tag or label, showing words and contexts where each tag applies; and a tagger, a program for assigning a tag to each word in the corpus, implementing the tag-set and tagging-scheme in a tag-assignment algorithm. We start by reviewing tag-sets developed for English corpora in section 1, since English was the first language studied by corpus linguists. Pioneering corpus linguists thought that their English corpora could be more useful research resources if each word was annotated with a Part-of-Speech label or tag. Traditional English grammars generally provide 8 basic parts of speech, derived from Latin grammar. However, most tag-set developers wanted to capture finer grammatical distinctions, leading to larger tag-sets. PoS-tagged English corpora have been used in a wide range of applications. Section 2 examines criteria used in development of English corpus Part-of-Speech tag sets: mnemonic tag names; underlying linguistic theory; classification by form or function; analysis of idiosyncratic words; categorization problems; tokenisation issues: defining what counts as a word; multi-word lexical items; target user and/or application; availability and/or adaptability of tagger software; adherence to standards; variations in genre, register, or type of language; and degree of delicacy of the tag-set. To illustrate these issues, section 3 outlines a range of examples of tag set developments for different languages, and discusses how these criteria apply. First we consider tag-sets for an online Part-of-Speech tagging service for English; then design of a tag-set for another language from the same broad Indo-European language family, Urdu; then for a non-Indo-European language with a highly inflexional grammar, Arabic; then for a contrasting non-Indo-European language with isolating grammar, Malay. Finally, we present some conclusions in section 4, and references in section 5.
The Colonizer and the Colonized

Preface (1965) * Introduction by Jean-Paul Sartre * New Introduction by Nadine Gordimer * Part One: Portrait of the Colonizer - Does the Colonial Exist? * the Colonizer Who Refuses * the Colonizer Who Accepts * Part Two: Portrait of the Colonized - Mythical Portrait of the Colonized * Situations of the Colonized * The Two Answers of the Colonized * Part Three: Conclusion
CODE SWITCHING IN INDONESIAN SONG LYRICS BY FEMALE SINGERS

Penelitian ini berjudul”Code Switching in Indonesian Song Lyrics by Female Singers”, penelitian ini bertujuan untuk mengidentifikasi jenis dan fungsi untuk alih kode yang ditemukan di beberapa lirik lagu Indonesia oleh penyanyi wanita Indonesia. Data yang digunakan dalam penelitian ini diambil dari lirik lagu Indonesia. Metode yang digunakan untuk mengumpulkan data adalah metode dokumentasi dan dengan teknik mencatat. Jenis data alih kode dianalisis dengan mengelompokkan dan memilih kalimat berdasarkan sumber data dan kemudian data yang dikumpulkan secara kualitatif dan deskriptif dianalisis sesuai dengan teori yang digunakan dalam penelitian ini. Hasil penelitian ini menunjukkan bahwa komposer cenderung untuk beralih bahasa dari Indonesia ke dalam bahasa Inggris melalui lirik lagu. Jenis alih kode yang terjadi pada data meliputi tag switching, inter-sentential switching, dan intra-sentential switching. Data menunjukkan bahwa pengalihan terjadi di awal, di tengah dan diakhir kalimat. Dalam hal fungsi alih kode, hasil penelitian menunjukkan bahwa fungsi data alih kode adalah: fungsi metalinguistik dan fungsi puisi.
Users manual for the Chameleon Parallel Programming Tools

Message passing is a common method for writing programs for distributed-memory parallel computers. Unfortunately, the lack of a standard for message passing has hampered the construction of portable and efficient parallel programs. In an attempt to remedy this problem, a number of groups have developed their own message-passing systems, each with its own strengths and weaknesses. Chameleon is a second-generation system of this type. Rather than replacing these existing systems, Chameleon is meant to supplement them by providing a uniform way to access many of these systems. Chameleon`s goals are to (a) be very lightweight (low over-head), (b) be highly portable, and (c) help standardize program startup and the use of emerging message-passing operations such as collective operations on subsets of processors. Chameleon also provides a way to port programs written using PICL or Intel NX message passing to other systems, including collections of workstations. Chameleon is tracking the Message-Passing Interface (MPI) draft standard and will provide both an MPI implementation and an MPI transport layer. Chameleon provides support for heterogeneous computing by using p4 and PVM. Chameleon`s support for homogeneous computing includes the portable libraries p4, PICL, and PVM and vendor-specific implementation for Intel NX, IBM EUI (SP-1), and Thinking Machines CMMD (CM-5). Support for Ncube and PVM 3.x is also under development.
Spectral methods for data clustering

With the exponential growth of digital information in general, and on the Internet in particular, there is great demand for developing efficient and effective methods for organizing and retrieving available information. Examples include image segmentation and scientific data sets such as genomics and climate data sets. With the rapid expansion of the Internet, web document clustering plays an increasingly important role in information retrieval and taxonomy management for the World Wide Web and remains an interesting and challenging problem in the field of web computing. In the past decade, one of the most active research areas of data clustering methods has been spectral graph partition. My thesis focuses on developing the new spectral graph partitioning methods to discover new patterns and knowledge of large data sets, especially the data set of web documents and pure text data. The Min-Max (Mcut) criterion is proposed following the experiments and theoretical analysis of its better performance over other popular methods such as the normalized cut (Ncut) and K-means methods. The application of the normalized cut and Min-max cut on the bipartite graph is developed theoretically. The close relations between the spectral method and other information retrieval methods such as Principle Direction Divisive Partitioning (PDDP) and the K-means method are discussed. Correspondence analysis is investigated in great detail from the point of view of the spectral bi-clustering method.
Serials Workflow Adaptation and the New ILS

Abstract This article examines serials workflow adaptation at Notre Dame University Libraries in the context of migration from the NOTIS LMS to the Aleph 500 ILS. In addition to detailing three specific workflows—check-in, claiming, and binding—in NOTIS versus Aleph 500, the authors discuss the workflow adaptation process in general. Emphasis is placed not only on the pragmatic side of the process but also on its psychological aspects. The last section of the article outlines several suggestions for how to deal with expectations for workflow that simply do not match a new system's functionality. Serials Review 2002; 28:298–315.
NIST 2005 machine translation evaluation official results

The NIST 2005 Machine Translation Evaluation (MT-05) was part of an ongoing series of evaluations of human language translation technology. NIST conducts these evaluations in order to support machine translation (MT) research and help advance the state-of-the-art in machine translation technology. These evaluations provide an important contribution to the direction of research efforts and the calibration of technical capabilities.
An Application of Bayesian Methods for Combining Data from Different Test Modalities

This report documents the research into the application of hierarchical Bayesian methods for characterizing the population failure rate (i.e. probability of defect) of an electronic component based on test data from a number of different test modalities. Classical statistical methods, those based on a frequency approach permit the combination of point estimates but stumble when characterizing the resulting confidence limits. Classical Bayesian methods permit the logical combination of test data, but are not fully efficient in incorporating all available information. In particular, classical Bayesian methods assume that the articles under test are not related in any manner even though the articles may be identical. Alternatively, hierarchical Bayesian methods permit the relationship between test articles to be explicitly included in the analysis. Data from four different test modalities are considered in the analysis. Comparisons are made between the current analysis approach (using traditional statistical methods), classical Bayesian methods and a hierarchical Bayesian approach.
Prevent and stop complementation clauses: a corpus-based investigation of 19th, 20th and 21st century American English

This study is a corpus-based investigation into the diachronic development of non-finite complementation clauses. My aim is to find out how the complementation clauses of two semantically comparable verbs, prevent and stop have changed over the past 200 years in American English. Two specific variants were considered: (i) noun phrase + from + -ing (e.g. She prevented / stopped it from eating.) (ii) noun phrase + -ing (e.g. She prevented / stopped it eating.) All the complementation clauses were extracted from the 400 million word Corpus of Historical American English. The prevent and stop complementation clauses were examined in respect of quantitative changes from 1810 to 2009, with focus on the overall frequencies and proportional values. The length of noun phrases within the complementation clauses was analysed based on Rohdenburg’s Complexity Principle (1996). Discussion was made in relation to a pattern of linguistic change in progress, densification of content. A diachronic distinctive collexeme analysis (cf. Hilpert, 2006) was performed based on the -ing forms of the complementation clauses in order to explore their semantic domain preferences at different time periods. Analysis results were interpreted with respect to the process of language change as they showed that linguistic change in American English is still in progress.
Rubrics, Scoring Guides, and Performance Criteria: Classroom Tools for Assessing and Improving Student Learning.

Rubrics, scoring guides, and performance criteria help define important outcomes for students. Well crafted rubrics help teachers define learning targets so that they can plan instruction more effectively, be more consistent in scoring student work, and be more systematic in reporting student progress. Rubrics can generally be divided into holistic or analytical trait rubrics, and task-specific or general rubrics. A third dimension that distinguishes rubrics is the number of score points. Rubrics must be of high quality in order to have positive effects in the classroom. A metarubric, a rubric for rubrics, has four traits: content, clarity, practicality, and technical soundness. Attachments discuss building a performance rubric and contain a discussion of the metarubric. A final attachment (figure 5) presents seven strategies for using criteria as a teaching tool. (SLD) Reproductions supplied by EDRS are the best that can be made from the original document. Rubrics, Scoring Guides, and Performance Criteria: Classroom Tools for Assessing and Improving Student Learning PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC)
A review and recognition of teaching strategies in Cell Biology: A shift to student-centred teaching

This paper gives a general overview of the curriculum design and teaching strategies for the course Cell Biology in Nankai University. Based on the theory that learning is an active process in which the learner must be involved, a curriculum redesign, involving concept mapping, problem based learning, case study and online learning approaches, is suggested and discussed in terms of encouraging student-centred learning.
Efficient Algorithms for Pattern Mining in Spatiotemporal Data

Spatio-temporal data is any information relating to space and time. It is continually updated data with 1TB/hr are greatly challenging our ability to digest the data. With that data, it is unable to gain exact information. Data mining models contains many statistical models such as regression models of various kinds, cluster analysis models, covariance analysis models, principle component analysis models, outlier detection models(temporal, spatial, non-spatial), trend detection models, partial least squares models(prediction) and multiple variant visualization models. Most of these models find applications in spatial data mining and pattern discovery.
Tsai Ming Liang’s Alternative Narratives of Working-Class Life in Taiwan

Taiwanese filmmaker Tsai Ming Liang is celebrated for his slow, poetic filmmaking and the philosophical treatment of time in his work. Tsai tends to eschew linear narrative and his films consist of scenes, each capable of standing alone as an individual art work. The one constant in Tsai’s films is his lead actor, Lee Kang Sheng, who embodies Tsai’s ideas in his intensely physical performances. One aspect of Tsai’s films that tends to be overlooked though is his representation of class – the character played by Lee and the scenarios that unfold, focus on Taiwan’s working classes and contain a sensory and physical depiction of class in Taiwan’s cities. The everyday of Taiwan’s working class is visible, but the approach taken by Tsai is an alternative one, creating art house films that, I argue, offer an intense and insightful portrayal of working class life. Tsai also blends fantasy with realism in a number of his films, and the fantasy elements compliment the working class realism by tapping into Taiwanese popular culture. While admired as an auteur, Tsai’s films arguably offer an artistic but also realistic representation of working-class Taiwan.
The Use of Ontology for Semantic Representation of Documents

paper deals with the use of ontologies for Information Retrieval.Roughly, the proposed approach consists in identifying important concepts in documents using two criterions, co-occurrence and semantic relatedness and then disambiguating them via an external general purpose ontology, namely WordNet. Matching the ontology and a document results in a set of scored concept-senses (nodes) with weighted links. This representation, called semantic core of a document best reveals the semantic content of the document. We regard our approach, of which the first evaluation results are encouraging, as a short but strong step toward the long term goal of Intelligent Indexing and Semantic Retrieval.
New Power Aware Energy Adaptive protocol with Hierarchical Clustering for WSN

In recent years, progress in wireless communication has made possible the development of low cost wireless sensor networks. Clustering sensor nodes is an effective topology control approach. In this paper, we propose a new routing algorithm which can increase the network lifetime. We assume that each node can estimate its residual energy and then a new clustering method will be proposed for increase of network lifetime. This assumption is similar to many other proposed routing algorithms for WSN and is a possible assumption. In the new algorithm, the predefined numbers of nodes which have the maximum residual energy are selected as cluster-heads based on special threshold value first and then the members of each cluster are determined based on the distances between the node and the cluster head and also between the cluster head and base station. At last, the simulation results show that our method achieves longer lifespan and reduce energy consumption in wireless sensor networks.
Global Learning Community Network: Heritage Language Learning Project Using Social Interaction Software

This paper presents the study called “Global Learning Community Network. ” The project promotes teaching language, culture, history and literacy through media production in teacher education. It focuses on: (1) examining cultural and linguistically responsive curriculum designed for K12 students who were in the US as heritage language learners; (2) multilingual tutoring and mentoring to K12 students about culture, language, and history of the US and Turkey using Web 2.0 technologies; (3) indentifying teacher candidates' reactions, discoveries, and experiences with the project; and (4) the process of developing learning objects such as digital storytelling projects focusing on across cultures throughout history.
Codes, Curves, and Signals: Common Threads in Communications

From the Publisher: Codes, Curves, and Signals is a tribute to the broad and profound influence of Richard E. Blahut on the fields of algebraic coding, information theory, and digital signal processing. All the contributors have individually and collectively dedicated their work to R. E. Blahut. Codes, Curves, and Signals is an excellent reference for researchers and professionals interested in information theory and communications.