Miracle-dz/UniFAR-FTUs huggingface dataset:
A triazine derivative with a triple-decker sandwich conformation

In dimethyl 3,3′-[6-methoxy-1,3,5-triazine-2,4-diyl)bis(oxy)]bis(4-benzyloxy-5-methoxybenzoate), C36H33N3O11, a new triazine derivative, the benz­yloxy groups adopt an inter­esting conformation in which they are positioned above and below the triazine ring `core' of the mol­ecule to form an intra­molecular triple-decker sandwich. The ester carbonyl O atoms of adjacent mol­ecules in the crystal structure participate in non-conventional (alk­yl)C—H⋯O hydrogen bonds [averaging 2.45 (1)A] about an inversion centre to give a weakly hydrogen-bonded dimer.
Identification du type des objets connectés par les informations des protocoles réseaux

Dans cet article, nous traitons le probleme de l’identification du type des objets connectes dans un reseau domestique. Nous proposons une approche basee sur les protocoles reseaux tels que les protocoles de decouverte. Les resultats obtenus montrent que, grâce aux informations collectees avec les approches utilisees, nous reussissons a identifier la nature et les fonctionnalites de 30 objets parmi les 33 objets connectes disponibles dans les jeux de donnees utilises.
Lonely Together: Subaltern Family Albums and Kinship During Medical Incarceration

Abstract During one of the longest and most extensive systems of medical incarceration in modern history (1866–1969), the Hawai‘i Board of Health exiled men, women, and children with leprosy (now known as Hansen’s disease) to a remote settlement on the island of Molokai. Some of these patients had access to cameras and the time to pursue photography, unlike most institutionalized and incarcerated people in the twentieth century. This article discusses subaltern family photographs produced by male patients during their decades-long exile from the 1930s to the 1990s. Patient-photographers crafted vernacular albums that reimagined non-normative, a-filial kinship in the absence of family connectedness and biological reproduction. Facing death and displacement, photographers envisioned uncertain futures suffused with anticipation, loss, and loneliness. While family albums are archival practices usually associated with women, unpartnered men took up the labor of piecing together affective relationships with chosen intimates. I further consider how patients developed anti-spectacular visual practices to represent heterogeneous bodies with disabilities, including their own, in consumer snapshots.
A review of the state of the art in Machine Learning on the Semantic Web: Technical Report CSTR-05-003

This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective. Trends in the Semantic Web are mentioned throughout and the relationship with Web Services is examined. Applications are discussed with recent examples and pointers to data sets. Finally, the emerging field of Semantic Web Mining is introduced.
Study Of Approaches For Generating Automated Test Cases By UML Diagrams

Software testing is a crucial phase in the Software Development Life Cycle (SDLC). Testing includes executing a program on a set of test cases and comparing the actual results with the ones expected. Test cases describe tests that need to be run on the program to verify that the program runs as expected. To reduce the time consumption and to cut down the cost of manual testing researchers and practitioners have proposed various tools and techniques for automation of software testing which increases the reliability of the software. In general, the software testing phase takes around 40-70% of the time and cost during the software development life cycle. To test the software automatically, test case generation is the best way. One way to generate the test cases is with the help of UML diagrams. In this paper we study the various approaches used to generate the test cases from the UML diagrams to test the software automatically.
Design of Analog-Digital VLSI Circuits for Telecommunications and Signal Processing

1. Circuit-Level Methods for VLSI Components, F. M. Klaassen. 2. CMOS Operational Amplifiers, Daniel Senderowicz. 3. Micropower Techniques, Eric A. Vittoz. 4. Dynamic Analog Techniques, Eric A. Vittoz. 5. Optical Receivers, David J. T. Heatley. 6. Continuous-Time Filters, Yannis Tsividis and Venugopal Gopinathan. 7. Switched-Capacitor Filter Synthesis, Adel S. Sedra and Martin Snelgrove. 8. Multirate Switched-Capacitor Filters, Jose E. Franca and R. P. Martins. 9. Analog-Digital Conversion Techniques for Telecommunications Applications, Paul Gray and Robert R. Nepp. 10. Delta-Sigma Data Converters, Gabor C. Temes. 11. Layout of Analog and Mixed Analog-Digital Circuits, Franco Maloberti. 12. System Architectures and VLSI Circuits for Telecommunications, Guenter Weinberger. 13. Integrated Circuits for the ISDN, Peter Adams. 14. VLSI Architectures and Circuits for Visual Communications, P. Pirsch and T. Wehberg. 15. Digital Television, A. Rothermel. 16. VLSI Architectures and Circuits for Digital Coding of High Definition Television, P. Pirsch and K. Gruger. 17. IC Solutions for Mobile Telephones, Juha Rapeli. Index.
Simulation of south Asian physical environment using various cumulus parameterization schemes of MM5

The objective of this study was to compare the effect of a selected convective parameterized scheme in a mesoscale model on the predicted precipitation using the fifth‐generation Mesoscale Model (MM5). Four cumulus parameterization schemes in MM5, the Grell scheme, the Kain–Fritsch scheme, the Anthes–Kuo scheme and the Betts–Miller scheme were tested to predict the monthly accumulated precipitation in a south Asian region of complex topography during the summer monsoon season (July and August) for the years 1998 and 2001. The simulated results of precipitation were compared with the satellite‐derived data of the Tropical Rainfall Measuring Mission (TRMM). Comparison of simulated precipitation patterns revealed that the Grell scheme realistically captured the rainfall patterns over the southern plain areas of the region which receive lesser precipitation throughout the year. This scheme was also in good agreement with the TRMM data for lesser amounts of precipitation over northern mountainous areas, though it showed underestimated results for heavy precipitation over the region. The rainfall patterns over the northern mountainous areas were captured well by the Kain–Fritsch scheme for heavy precipitation while this scheme slightly over predicted the precipitation trends in the southern plain areas. The Anthes–Kuo and the Betts–Miller schemes were not able to simulate the rainfall for this complex terrain satisfactorily. The set of physical options used in MM5 for precipitation in this study was also tested for some other meteorological parameters such as ambient temperature, potential temperature, relative humidity and the moist static energy and the results were validated against the Reanalysis data of US National Centre for Environmental Prediction (NCEP). It was found that the scheme that successfully simulated precipitation also predicted these other parameters well. Copyright © 2011 Royal Meteorological Society
Kullback Leibler Divergenceに基づいた遺伝的アルゴリズムによるユーザプロファイル作成

In this paper we propose a user profile creation method using the Kullback Leibler divergence. To cope with information flood, many information filtering systems have been developed up to now. In the information filtering systems it is important to create a user profile which represents user's interests correctly. Since almost all information filtering systems are developed with techniques of information retrieval, machine learning, and pattern recognition, they often use a linear function as a discriminant function. To classify information in the field of document classification more precisely, the systems have been reported which use a non-linear function as a discriminant function. The proposed method is to use the Kullback Leibler divergence as a discriminant function which denotes to user's interest in the information filtering system. To identify an optimal discriminat function with documents which a user evaluates, we use the real-coded genetic algorithm. We compare the present method with the other one using a linear discriminant function and confirm the effectiveness of the proposing method.
Performing the Great Orbital Run

The Great Orbital Ultra Run’ was a solitary run and performance artwork that took place over nine consecutive days around the inside of the M25 London Orbital motorway. Conceived as a ‘point-topoint’ run from and to ten different Motel stops along the route, this journey did not follow preconceived ‘paths’ but was about negotiating a route round come what may. The journey was mapped through a continuous stream of images that were relayed live from my mobile phone along with my GPS coordinates. This was projected as a moving image artwork with sound at the Stephen Lawrence Gallery, University of Greenwich, in London, as part of the two-person exhibition, ‘Evil Sport and Ultra Run’. This paper considers the performative nature of this activity, raising the issue of where the work itself takes place in the differing notions of performance that could be said to be taking place, which occur in the live performance of the actual run, in the performance of the technology in the live mediation of digital images and in the representation of the activity as a documentation of the event. In doing so it challenges traditional assumptions regarding live performance that relies on the presence of an audience at an ‘original’ event and that suggests it cannot be recorded. In an age of digital ‘connectedness’, this paper calls for a wider understanding of the notion of performance through the live act and re-presentation of its mediated documentation.
Fortran 90 programming

Preface 1. Introduction - six key questions PART I. FUNDAMENTAL PRINCIPLES 2. First steps in Fortran 90 programming 3. Essential data handling 4. Basic building blocks 5. Controlling the flow of your program 6. Repeating parts of your program 7. An introduction to arrays 8. More control over input and output 9. Using files to preserve data Intermission - Developing and testing programs PART II. TOWARDS REAL PROGRAMMING 10. An introduction to numerical methods in Fortran 90 programs 11. More flexible procedures 12. Creating your own environment with modules 13. Array processing and matrix manipulation 14. Parameterized and other data types 15. Additional input/output and file handling facilities 16. Pointers and dynamic data structures 17. Global data through storage association 18. More about numerical methods Afterword - The Seven Golden Rules Appendix A. Intrinsic functions Appendix B. The rules for host and USE association Appendix C. Statement order in Fortran 90 Appendix D. The ASCII Character Set Appendix E. Obsolete features of Fortran 90 Glossary Bibliography Answers to self-test exercises Answers to selected programming exercises Index to programs and procedures Index
PSI-Toolkit - a customizable set of linguistic tools

The paper describes PSI-Toolkit, a set of NLP tools designed within a grant of Polish Ministry of Science and Higher Education. The main feature of the toolkit is its open architecture, which allows for the integration of NLP tools designed in independent research centres. The toolkit is widely customizable: PSI-Toolkit processes a variety of text formats and languages. There are no constraints on annotation tag-sets. PSI-Toolkit annotation pipelines may consist of both PSI-Toolkit annotators and external tools.
Developing language resources for English machine translation

We developed English-Bangla parallel corpora for statistical machine translation. By hand we tagged 20,000 words of our Bangla corpus according to their particular part of speeches. In our work we also suggested a method for identifying word correspondence in parallel English-Bangla text using a translation model based on part of speech and n-gram model.
An Effort Estimation Model for Agile Software Development

Software effort estimation process in any software project is not only essential, but also a very critical component. The success or failure of projects depends heavily on the accuracy of effort and schedule estimations, among other things. The emergence of agile methods in the software development field has presented many opportunities and challenges for researchers and practitioners alike. One of the major challenges is effort estimation for agile software development. Though traditional effort estimation approaches are used to estimate effort for agile software projects but they mostly result in inaccurate estimates. This research focuses on development of effort estimation model for agile software projects. Construction and use of the model is explained in detail. The model was calibrated using the empirical data collected from 21 software projects. The experimental results show that model has good estimation accuracy in terms of MMRE and PRED (n).
Neural computations as multidimensional feature mapping for acoustic information representation

Neurons in biological systems usually exhibit distinctive response selectivity to certain features in the stimulus. As the neurons are functionally and spatially segregated, one may interpret the computational principles of the neural systems as a mechanism of feature mapping, which represents information in a topographic fashion. In this article, the author summarizes the physiological findings of the neural selectivities in the primary auditory cortex and, based on which, proposes a mathematical framework for mapping the acoustic features conveyed in the power spectrum. The author further demonstrates how this model may be employed to explain a series of psychoacoustic experiments that are designed to measure the sensitivity of the human auditory system to spectral shape perception, and hypothesizes how the measured thresholds may be related to the model parameters. <<ETX>>
Spread-spectrum based adaptive array receiver algorithms for the shallow-water acoustic channel

In this paper we propose spread spectrum-based adaptive array receiver structures for reliable low data-rate multi-access communication in the shallow-water acoustic channel. The performance of the proposed receiver algorithms is evaluated by employing both offline processing and simulation. Results indicate that multi-access error-free reception is attainable in network scenarios where transmission is multipath impaired.
Foundations for an Empirically Determined Scale of Trust in Automated Systems

Hazard communications often contain adverbial or adjectival phrases that qualify the meaning of verbs or nouns. For example, a warning label might contain the phrase prolonged exposure. Fuzzy set theory provides a method of quantitatively describing the meaning of such phrases, using membership functions. For example, a membership function might map how strongly workers feel exposure times between 0 and 24 hr belong to the fuzzy set prolonged exposure. The focus of this study was on documenting worker understanding of adverbial or adjectival phrases used in hazard communications using fuzzy sets. Emphasis was placed on documenting how membership functions changed between contexts. To do this, 353 workers at 9 locations were asked to interpret the meaning of hazard communication phrases containing fuzzy qualifiers, such as "safe," "weak," "strong," "prolonged," "extremely," "slightly," "poorly," or "adequate. " Workers interpreted the phrases in meaningful ways, confirming that fuzzy qualifiers can play a u.
A New Reachability Query Method for Graph-Structured XML Data

Query processing of graph-structured XML data is a rising topic in XML research field. This paper focuses on reachability query methods of graph-structured XML data. Encoding scheme of CDGX (Coding Directed Graph-structured XML data) is proposed in this paper, which not only can effectively solve the circle problem, but also avoiding a large number of intermediate data and saving storage space. And based on encoding scheme of CDGX, a new reachability query method RJDG (Reachability Judgment on Directed Graph) is put forward to. In RJDG, adjacent nodes in a same graph-structured XML document are got and stored beforehand. RJDG only needs to deal with the adjacent nodes to decide the reachability relationship between XML nodes. Experiments illustrate that RJDG is an efficient reachability query method.
Fundamentals Of Adaptive Filtering

Preface. Acknowledgments. Notation. Symbols. Optimal Estimation. Linear Estimation. Constrained Linear Estimation. Steepest-Descent Algorithms. Stochastic-Gradient Algorithms. Steady-State Performance of Adaptive Filters. Tracking Performance of Adaptive Filters. Finite Precision Effects. Transient Performance of Adaptive Filters. Block Adaptive Filters. The Least-Squares Criterion. Recursive Least-Squares. RLS Array Algorithms. Fast Fixed-Order Filters. Lattice Filters. Laguerre Adaptive Filters. Robust Adaptive Filters. Bibliography. Author Index. Subject Index. AC
Teaching Strategies for Improving Algebra Knowledge in Middle and High School Students. Educator's Practice Guide. What Works Clearinghouse.™ NCEE 2015-4010.

reasoning is processing and analyzing complex, non-concrete concepts. An algebraic expression is a symbol or combination of symbols for variables, numbers, and arithmetic operations used to represent a quantity. Examples of algebraic expressions are 9 – and 3x – 4y + 7. An algebraic representation is a way to display an algebraic relationship or quantity. Algebraic representations can have symbolic, numeric, verbal, or graphic forms. An algorithm is a series of steps that, when executed in the prescribed order, lead to the desired or expected outcome.
Authenticity matters: Children look beyond appearances in their appreciation of museum objects

ABSTRACT Authenticity is often supposed to play an important role in natural history museums. Yet we know very little about how it affects the perception and appreciation of museum objects. In the present study, we examined children’s perceptions of real fossils and replicas. We explored four potential explanations underlying the appreciation of authentic objects: physical appearances, ideational motivations (i.e. authentic objects are simply ‘better’), associations and contagion (the belief that some quality or aspect of the object's history still inheres in the object). Seventy two children of 8–12 years old visiting a Dutch natural history museum were asked to rate the museum-worthiness of two replicas and two real dinosaur fossils in two states (whole object vs a small fragment). Results suggest that, although appearances and associations do play a role, the appreciation of real fossils is rooted in the contagious belief that previous contact of the object (e.g. with a living dinosaur) continues to act on the object after the physical contact has been severed. Altogether, our findings provide evidence that children look beyond superficial appearances and place great value on non-obvious features such as object history.
Hyponym extraction from the web by bootstrapping

This paper proposes an effective method to automatically extract hyponym from the Web for Chinese. The method extracts hyponyms for a given hypernym through weak supervision in two stages: the first stage is submitting a hypernym and a seed hyponym as a query to Web search engine, and automatically extracting hyponyms matching with a Chinese doubly anchored hyponymy pattern from the Web by bootstrapping. In order to reduce noise data in bootstrapping extraction, we propose a set of filtering rules to ensure matching of the proper hypernym in the extracted sentence. The second stage is ranking all the extracted candidate hyponyms by an integrated ranking algorithm which takes into account measures both of linkage frequency between coordinate hyponyms and of semantic similarity between the hypernym and candidate hyponym based on co‐occurrence statistics. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
An image processing approach for underdetermined blind separation of nonstationary sources

This paper presents a new approach for blind separation of nonstationary frequency-modulated (FM) sources in the underdetermined case (i.e., more sources than sensors) using their time-frequency distributions (TFDs). The underlying idea of the proposed blind source separation (BSS) method is based on the observation that a monocomponent FM signal is represented by a linear feature corresponding to the 'energy concentration points' in the time-frequency (TF) image. Therefore, we propose to adapt an existing 'road network extraction' method [Tupin et al., (1998)] for the detection and separation of the source signal components from the spatially averaged TF image of their mixtures. The sources spatial signatures are then used to group together (classify) the components of the same source (or equivalently, the same spatial direction). Simulation examples are provided to assess the performance of the proposed algorithm in various scenarios.
A common channel adaptation approach for video coding

Wireless access to encoded video requires sophisticated error resilient mechanisms. Although some video coding standards describe error resilience algorithms, they are inefficient at deep fading wireless and mobile channels. In this paper, we present a novel scheme of error protection for narrowband wireless channels which is independent of any video coding standard. Being, however, this scheme common to all standards, it provides some acceptable video quality degradation. We have evaluated the quality degradation of the Common solution in comparison to the optimal scheme of protection corresponding to the existence of a finite number of channel codes. Besides, we also present the quality degradation for both video coding standards, H.263 and MPEG-4, obtained from a finite number of codes in comparison with the ideal scheme corresponding to the existence of an infinite number of channel codes. Additionally, we proposed a protection solution tailored to H.263/MPEG-4 source coding with an average PSNR improvement of about 0.2 dB relatively to the above mentioned Common solution. Thus, in the framework of joint source-channel coding, we present an adaptive scheme of protection according to the channel bit error rate (BER) and with an overall transmission rate of 64 kbps. In our investigation, we used four QCIF video test sequences and rate compatible punctured convolutional (RCPC) codes. For instance, a PSNR gain of about 16.7 dB is obtained at BER=10-2 for 'Foreman' video sequence, encoded either by H.263 or by MPEG-4 and protected using the Common scheme in comparison to the unprotected case.