Miracle-dz/UniFAR-FTUs huggingface dataset:
PROFIL KETERAMPILAN BERPIKIR KREATIF SISWA KELAS VII SMP NEGERI 6 SURABAYA

The purpose of this research is to describe the profile of students creative thinking skill at VII grade in SMPN 6 Surabaya. This research is a descriptive research whose 30 subject. Data obtained from testing showed that the students’ creative thinking skill in design an experiment reached medium N-Gain level (0,56). The average N-Gain score of students’ creative thinking skill based on fluency (0,49); flexibility(0,70); quality (0,54), elaboration (0,63), and originality (0,51) in medium level for each aspect. Overall, it can be concluded that Learning Cycle 5E Model package is effective to increase junior high school students’ creative thinking skill. Penelitian ini bertujuan untuk mendeskripsikan profil keterampilan berpikir kreatif siswa kelas VII SMP Negeri 6 Surabaya. Penelitian ini merupakan penelitian deskriptif dengan subjek 30 siswa. Data yang diperoleh menunjukkan bahwa keterampilan berpikir kreatif siswa dalam merancang kegiatan penyelidikan mencapai N-Gain 0,56 atau termasuk kategori sedang. Rata-rata nilai gain keterampilan berpikir kreatif siswa berdasarkan aspek fluency sebesar 0,49, quality sebesar 0,54, elaboration sebesar 0,63, dan originality sebesar 0,51 dengan kategori sedang pada masing-masing aspek, dan flexibility sebesar 0,70 dengan kategori tinggi. Dengan,demikian, dapat disimpulkan bahwa perangkat pembelajaran model Learning Cycle 5E ini efektif untuk meningkatkan keterampilan berpikir kreatif siswa SMP.
Recovery with limited replay: fault-tolerant processes in Linda

Research in the area of fault-tolerant distributed systems has focused to a large extent on data surviving various forms of failure. However, in environments where cooperation among processes is important the authors argue that high availability of processes, in addition to their recoverability is crucial. Their specific interest is in the Linda tuple space paradigm. They discuss efficient techniques for making Linda processes recoverable and outline some characteristics of Linda that make it particularly suitable for implementing fault-tolerance. They also propose a simple extension to their recoverable process mechanism that makes processes highly available. <<ETX>>
RWTH OCR : A Large Vocabulary Optical 1 Character Recognition System for Arabic

We present a novel large vocabulary OCR system, which implements a 5 confidenceand margin-based discriminative training approach for model adap6 tation of an HMM based recognition system to handle multiple fonts, different 7 handwriting styles, and their variations. Most current HMM approaches are HTK 8 based systems which are maximum-likelihood (ML) trained and which try to adapt 9 their models to different writing styles using writer adaptive training, unsupervised 10 clustering, or additional writer specific data. Here, discriminative training based 11 on the Maximum Mutual Information (MMI) and Minimum Phone Error (MPE) 12 criteria are used instead. For model adaptation during decoding, an unsupervised 13 confidence-based discriminative training within a two-pass decoding process is pro14 posed. Additionally, we use neural network based features extracted by a hierar15 chical multi-layer-perceptron (MLP) network either in a hybrid MLP/HMM ap16 proach or to discriminatively retrain a Gaussian HMM system in a tandem approach. 17 The proposed framework and methods are evaluated for closed-vocabulary isolated 18 handwritten word recognition on the IfN/ENIT Arabic handwriting database, where 19 the word-error-rate is decreased by more than 50% relative compared to a ML 20 trained baseline system. Preliminary results for large-vocabulary Arabic machine 21 printed text recognition tasks are presented on a novel publicly available newspaper 22 database. 23 RWTH Aachen University Human Language Technology and Pattern Recognition Ahornstr 55, D-52056 Aachen, Germany Tel. : +49-241-80-21613 Fax: +49-241-80-22219 e-mail: <surname>@cs.rwth-aachen.de
TO-MEAN ENVELOPE POWER RATIO

I certify that the work submitted is my own and that any material derived or quoted from the published or unpublished work of other persons has been duly acknowledged (ref. UPR AS/C/6.1, Appendix I, Section 2 – section on cheating and plagiarism) Abstract Emerging wireless systems envisage properties of; power and bandwidth efficiency, low cost transceivers (to encourage more users) and increased data rate. Multi-carrier modulation (MCM) techniques have posed a suitable candidate to meet these requirements, their spectral effectiveness and robustness against multipath fading channels has made them promising applications for future wireless systems. Orthogonal Frequency Division Multiplexing (OFDM) has emerged one of the main modem schemes of MCM for its high data rate and bandwidth efficient properties. However a limiting factor to the adoption of OFDM is its high peak-to-mean envelope power ratio (PMEPR). The PMEPR problem requires analog devices operating in large linear regions resulting in undesirable cost and power implications. Consequently research has focused on PMEPR reduction via various distortion-less and distortion techniques. These techniques achieve PMEPR reduction at the expense other performance parameters. Thus no specific PMEPR reduction technique offers the best solution for all OFDM systems, rather the performance of PMEPR reduction techniques should be investigated such that they are carefully selected to meet specific application requirements. This report analyzes the operation of OFDM systems and the implementation of various PMEPR reduction techniques. The behaviour of the PMEPR relative to system parameters and the performance of the clipping algorithm for PMEPR reduction are analyzed via simulations.
White Matter Hyperintensity Penumbra

Background and Purpose— White matter hyperintensities (WMHs) are associated with progressive age-related cognitive decline and cardiovascular risk factors, but their biological relevance as indicators of generalized white matter injury is unclear. Diffusion tensor imaging provides more sensitive indications of subtle white matter disruption and can therefore clarify whether WMHs represent foci of generalized white matter damage that extends over a broader neighborhood. Methods— Two hundred eight participants from the University of California, Davis Alzheimer's Disease Center received a comprehensive clinical evaluation and brain MRI including fluid-attenuated inversion recovery and diffusion tensor imaging sequences. Voxelwise maps of WMHs were produced from fluid-attenuated inversion recovery using a standardized WMH detection protocol. Fractional anisotropy maps were calculated from diffusion tensor imaging. All WMH and fractional anisotropy maps were coregistered to a standardized space. For each normal-appearing white matter voxel in each subject fluid-attenuated inversion recovery scan, a neighborhood white matter injury score was calculated that increased with increasing number and proximity of WMH in the vicinity of the normal-appearing white matter voxel. Fractional anisotropy was related to neighborhood white matter injury using a nonlinear mixed effect model controlling for relevant confounding factors. Results— Fractional anisotropy was found to decrease as neighborhood white matter injury increased (&bgr;=−0.0017/%, P<0.0001) with an accelerated rate (P<0.0001) for neighborhood white matter injury >0.4. An increase of 1% in neighborhood white matter injury score was associated with a decrease in mean fractional anisotropy of 0.012 (P<0.001). Conclusions— WMH may represent foci of more widespread and subtle white matter changes rather than distinct, sharply delineated anatomic abnormalities. We use the term white matter hyperintensities penumbra to explain this phenomenon.
The smallest k-regular hedge-connected graphs without 1-factors

The minimum order of a k-regular h-edge-connected graph of even order without 1-factors is determined. For h = k − 2, the value is k2 + 3k − 2 when k is odd and k2 + 2k − 2 when k is even. The general formula is (α+ 1) (t+ 2)− 2, where α is the least odd integer greater than k, and t is d 2h k−he when k − h is even and is d 2h+2 k−h−1e when k − h is odd. Constructions exist for all even orders at least this large.
INTERCONNECT TESTING WITH BOUNDARY SCAN

Boundary scan is a structured design technique which can be used to simplify the testing of digital circuits, boards, and systems. With boundary scan, test patterns can be generated which provide 100% stuck-at and bridging fault coverage of board interconnections. The paper describes the advantages and disadvantages of boundary scan along with the application and implementation of boundary scan circuitry. Algorithms for generating interconnect test patterns for stuck-at and bridging fault coverage are also presented
Issues in Information Systems

In this paper we study the performance and the efficiency of the banking sectors from an international perspective. Exploring key factors influencing bank profitability is of crucial importance to improve bank internal management and implement effective banking policies. A mathematical evaluation method is proposed for this study. This method is easy to apply and uses a linear programming model. The weights for various measurements are determined by objective method and are standard. The method is illustrated with real data from twenty-five developed countries worldwide.
The mixed black hole partition function for the STU model

We evaluate the mixed partition function for dyonic BPS black holes using the recently proposed degeneracy formula for the STU model. The result factorizes into the OSV mixed partition function times a proportionality factor. The latter is in agreement with the measure factor that was recently conjectured for a class of N = 2 black holes that contains the STU model.
Dictionary learning for spontaneous speech recognition

Spontaneous speech adds a variety of phenomena to a speech recognition task: false starts, human and nonhuman noises, new words, and alternative pronunciations. All of these phenomena have to be tackled when adapting a speech recognition system for spontaneous speech. We focus on how to automatically expand and adapt phonetic dictionaries for spontaneous speech recognition. Especially for spontaneous speech it is important to choose the pronunciations of a word according to the frequency in which they appear in the database rather than the "correct" pronunciation as might be found in a lexicon. Therefore, we proposed a data driven approach to add new pronunciations to a given phonetic dictionary (T. Slobada, 1995) in a way that they model the given occurrences of words in the database. We show how this algorithm can be extended to produce alternative pronunciations for word tuples and frequently misrecognized words. We also discuss how further knowledge can be incorporated into the phoneme recognizer in a way that it learns to generalize from pronunciations which were found previously. The experiments have been performed on the German Spontaneous Scheduling Task (GSST), using the speech recognition engine of JANUS 2, the spontaneous speech to speech translation system of the Interactive Systems Laboratories at Carnegie Mellon and Karlsruhe University (A. Waibel et al., 1996; M. Woszcyna et al., 1994).
Learning relevance from heterogeneous social network and its application in online targeting

The rise of social networking services in recent years presents new research challenges for matching users with interesting content. While the content-rich nature of these social networks offers many cues on "interests" of a user such as text in user-generated content, the links in the network, and user demographic information, there is a lack of successful methods for combining such heterogeneous data to model interest and relevance. This paper proposes a new method for modeling user interest from heterogeneous data sources with distinct but unknown importance. The model leverages links in the social graph by integrating the conceptual representation of a user's linked objects. The proposed method seeks a scalable relevance model of user interest, that can be discriminatively optimized for various relevance-centric problems, such as Internet advertisement selection, recommendation, and web search personalization. We apply our algorithm to the task of selecting relevant ads for users on Facebook's social network. We demonstrate that our algorithm can be scaled to work with historical data for all users, and learns interesting associations between concept classes automatically. We also show that using the learnt user model to predict the relevance of an ad is the single most important signal in our ranking system for new ads (with no historical clickthrough data), and overall leads to an improvement in the accuracy of the clickthrough rate prediction, a key problem in online advertising.
Electromagnetic Self-Organization and Transport Barrier Relaxations in Fusion Plasmas

Several aspects of plasma turbulence and transport at a tokamak edge have been studied by three dimensional numerical simulations of resistive ballooning turbulence in a toroidal geometry. These simulations have been realized with a three dimensional global code which calculates the evolution of the pressure and the electrostatic potential at the plasma edge and also includes self-consistent electromagnetic fluctuations. The level of magnetic fluctuations present in the system is linked to the plasma beta (the ratio between the kinetic pressure and the magnetic pressure). The competition between different mechanisms for driving flows (Reynolds stress, Maxwell tensor) is studied as a function of beta. In order to characterize the stationary turbulent state of the plasma we use standard and sophisticated statistical tools, e.g. probability density functions (PDFs) and the Extended Self-Similarity method. We also study the dynamics of transport barriers at the plasma edge that are key elements of high confinement modes (H–modes) in fusion devices. In these simulations the transport barrier exhibits intermittent relaxation cycles. It is found that magnetic fluctuations have negligible influence on the relaxation process while the magnetic activity is enhanced during these relaxations, in agreement with experimental observations. Additionaly, the simulations reveal that resonant magnetic perturbations (RMPs) have a stabilizing effect on the transport barrier relaxations.
Cognitive Processes in Reading and Evaluation Procedures.

Different aspects of text comprehension and different evaluation procedures were studied for elementary school students. Indicators sensitive to the different levels of comprehension involved were used, and recall was divided into recall macro, micro, and total. The sample consisted of 90 sixth graders in the national capital region of Canada. Relationships among the results of a free, written recall protocol, a questionnaire, and problem-solving activities were examined as they allowed the observation of different text processing levels. The problem-solving activities measured something different than the recall task and questionnaire measures; no significant correlations were obtained between these activities and other variables in the study. The questionnaire did not measure exactly what the recall task measured, and the recall task appeared more sensitive to the effects of test type and domain knowledge. Overall, the recall task was a more discerning performance measure. The recall task and the problem-solving activities appear to be the most promising approaches for constructing a reading comprehension text for sixth-grade native speakers of French. Three bar graphs and two tables present study data. (Contains 19 references.) (SLD) ****************7%**A;. AAA**AA.i. AAAAi'. ************************* Reproductions supplied by EDRS are the best that can be made from the original document. ****************************************i,A;. **************************** U.S DEPARTMENT OF EDUCATION Once d Educational Resea.cn and improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) TMs document has been reproduced as received Iron the person or OrganrtatrOn Ong,nalMQ Minor changes have been made to . rnprove rePrOduCtrpn duality Pchnts of new or 00m.OnS Staled ro thi3 doCu meal do not neCeSsanty represent otfic.al OE RI pos:bon or ool.cy -PERMISSION TO REPRODUCE THIS pTERIAL HAS BEEN GRANTED BY _r_e___Lei,q. It-i I° Vitron,0) TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). COGNITIVE PROCESSES IN READING AND EVALUATION PROCEDURES Patricia M. Raymond, Jean-Paul Dionne, Jean-Yves Boyer, Andre'-Jacques Deschenes and Michel Page'
Further Theoretical Study of Distribution Separation Method for Information Retrieval

Recently, a Distribution Separation Method (DSM) is proposed for relevant feedback in information retrieval, which aims to approximate the true relevance distribution by separating a seed irrelevance distribution from the mixture one. While DSM achieved a promising empirical performance, theoretical analysis of DSM is still need further study and comparison with other relative retrieval model. In this article, we first generalize DSM's theoretical property, by proving that its minimum correlation assumption is equivalent to the maximum (original and symmetrized) KL-Divergence assumption. Second, we also analytically show that the EM algorithm in a well-known Mixture Model is essentially a distribution separation process and can be simplified using the linear separation algorithm in DSM. Some empirical results are also presented to support our theoretical analysis.
Actions as PROLOG programs

As an extention of the TRASYS approach to reasoning about actions, this work presents a new step in the direction to the transposition of the gap between action formalisms and their real execution inside planning environments. We try to clarify some points of the former paper by presenting a re-structured overview of the of Transaction Logic formalism and proposing some modifications to the action model which will allow the use of nonatomic formulae in the world model. Aiming an efficient method for executing action specifications, we present how could these specifications be rendered into a PROLOG program.
Perspective: Complexity Theory and Organization Science

Complex organizations exhibit surprising, nonlinear behavior. Although organization scientists have studied complex organizations for many years, a developing set of conceptual and computational tools makes possible new approaches to modeling nonlinear interactions within and between organizations. Complex adaptive system models represent a genuinely new way of simplifying the complex. They are characterized by four key elements: agents with schemata, self-organizing networks sustained by importing energy, coevolution to the edge of chaos, and system evolution based on recombination. New types of models that incorporate these elements will push organization science forward by merging empirical observation with computational agent-based simulation. Applying complex adaptive systems models to strategic management leads to an emphasis on building systems that can rapidly evolve effective adaptive solutions. Strategic direction of complex organizations consists of establishing and modifying environments within which effective, improvised, self-organized solutions can evolve. Managers influence strategic behavior by altering the fitness landscape for local agents and reconfiguring the organizational architecture within which agents adapt.
Display Space-Time Resource Diagrams

Cognitive tasks of any complexity are accomplished with the aid of resources outside the head. This is evident for a task as simple as arithmetic, which is quicker and more accurately done with paper and pencil than mentally for most people (unless special methods are learned). Modern windows-based humancomputer interfaces are based on the use of a computer-controlled display surface to effectively expand user’s working memory and to shift object and command specification from recall memory to recognition memory.
PEB1 (PAS7) in Saccharomyces cerevisiae encodes a hydrophilic, intra- peroxisomal protein that is a member of the WD repeat family and is essential for the import of thiolase into peroxisomes

We have previously described mutant S. cerevisiae that are defective in peroxisome biogenesis (peb mutants) (Zhang, J. W., Y. Han, and P. B. Lazarow. 1993. J. Cell Biol. 123:1133-1147.). In some mutants, peroxisomes are undetectable. Other mutants contain normal-looking peroxisomes but fail to package subsets of peroxisomal proteins into the organelle (Zhang, J. W., C. Luckey, and P. B. Lazarow. 1993. Mol. Biol. Cell. 4:1351-1359.). In peb1 (pas7) cells, for example, the peroxisomes contain proteins that are targeted by COOH-terminal tripeptides and contain acyl-CoA oxidase (which is probably targeted by internal oligopeptides), but fail to import thiolase (which is targeted by an NH(2)-terminal 16-amino acid sequence). These and other data suggest that there are three branches in the pathway for the import of proteins into peroxisomes, each of which contains a receptor for one type of peroxisomal topogenic information. Here, we report the cloning and characterization of the PEB1 gene, that encodes a 42,320-Da hydrophilic protein with no predicted transmembrane segment. The protein contains six WD repeats, a motif which has been found in 27 proteins involved in diverse cellular functions. The PEB1 gene product was tagged with the hemagglutinin epitope and found to rescue thiolase import in the peb1 null mutant. The epitope-tagged protein was shown to be inside of peroxisomes by immunofluorescence, digitonin permeabilization, equilibrium density centrifugation, immunoelectron microscopy, and proteinase K protection studies. The PEB1 gene product does not cleave the thiolase-targeting sequence. It may function to draw thiolase into peroxisomes.
High-exitation nebulae around Magellanic Wolf-Rayet stars

Abstract The SMC harbours a class of hot nitrogen-sequence Wolf-Rayet stars (WNE) that display only relatively weak broad He ii λ4686 emission indicative of their low mass-loss rates and which are therefore hard to detect. However, such stars are possible emitters of strong He+ Lyman continua which in turn could ionize observable He iii regions, i.e. highly excited H ii regions emitting nebular He ii λ4686 emission. We here report the discovery of a second He iii region in the SMC within OB association NGC 249 within which the weak-lined WN star SMC WR10 is embedded. SMC WR10 is of special importance since it is a single star showing the presence of atmospheric hydrogen. While analysing the spectrum in the framework of two popular, independent WR atmosphere models we found strongly discrepant predictions (by 1 dex) of the He+ continuum for the same input parameters. A second interesting aspect of the work reported here concerns the beautiful MCELS images which clearly reveal a class of strongly O iii λ5007 emitting (blue-coded) nebulae. Not unexpectedly, most of the “blue” nebulae are known Wolf-Rayet bubbles, but new bubbles around a few WRs are also detected. Moreover, we report the existence of blue nebulae without associated known WRs and discuss the possibility that they reveal weak-wind WR stars with very faint stellar He ii λ4686 emission. Alternatively, such nebulae might hint at the hitherto missing population of relatively low-mass, hot He stars predicted by massive binary evolution calculations. Such a binary system is probably responsible for the ionization of the unique He ii λ4686-emitting nebula N 44C.