Miracle-dz/UniFAR-FTUs huggingface dataset:
MOTIVASI BERPRESTASI DALAM KAITANNYA DENGAN KINERJA GURU

Pendidik merupakan tenaga profesional yang bertugas merencana-kan dan melaksanakan proses pembelajaran, menilai hasil pembelajaran, melakukan pembimbingan dan pelatihan, serta melakukan penelitian dan pengabdian kepada masyarakat, terutama bagi pendidik di perguruan tinggi. Pendidik yang mengajar pada satuan pendidikan dasar dan menengah disebut guru. Kinerja yang maksimal dari seorang guru bertujuan untuk dapat mencapai visi dan misi dunia pendidikan. Tujuan Penelitian ini adalah untuk mengetahui adanya hubungan positif yang signifikan antara motivasi berprestasi dengan kinerja guru di jenjang SMA. Sampel yang digunakan dalam penelitian ini adalah guru di SMA Kristen I dan SMA Kristen II Salatiga sejumlah 46 guru. Hasil uji korelasi yang dilakukan dengan Spearman-Rank, diperoleh nilai koefisien korelasi r = -0,092, dengan probabilitas 0,544 (p > 0,05). Nilai probabilitas yang diperoleh tersebut lebih besar dari 0,05, sehingga Ho diterima dan H1 ditolak. Dengan demikian dapat diambil kesimpulan bahwa tidak ada hubungan yang signifikan antara motivasi berprestasi dengan kinerja guru.
On Achievable Rate Regions for Source Coding over Networks

In the field of source coding over networks, a central goal is to understand the best possible performance for compressing and transmitting dependent data distributed over a network. The achievable rate region for such a network describes all link capacities that suffice to satisfy the reproduction demands. Here all the links in the networks are error-free, the data dependency is given by a joint distribution of the source random variables, and the source sequences are drawn i.i. d. according to the given source distribution. In this thesis, I study the achievable rate regions for general networks, deriving new properties for the rate regions of general network source coding problems, developing approximation algorithms to calculate these regions for particular examples, and deriving bounds on the regions for basic multi-hop and multi-path examples. In the first part, I define a family of network source coding problems. That family contains all of the example networks in the literature as special cases. For the given family, I investigate abstract properties of the achievable rate regions for general networks. These properties include (1) continuity of the achievable rate regions with respect to both the source distribution and the distortion constraint vector and (2) a strong converse that implies the traditional strong converse. Those properties might be useful for studying a long-standing open question: whether a single-letter characterization of a given achievable rate region always exists. In the second part, I develop a family of algorithms to approximate the achievable rate regions for some example network source coding problems based on their single-letter characterizations by using linear programming tools. Those examples contain (1) the lossless coded side information problem by Ahlswede and Korner, (2) the Wyner-Ziv rate-distortion function, and (3) the Berger et al. bound for the lossy coded side information problem. The algorithms may apply more widely to other examples. In the third part, I study two basic networks of different types: the two-hop and the diamond networks. The two-hop network is a basic example of line networks with single relay node on the path from the source to the destination, and the diamond network is a basic example of multi-path networks that has two paths from the source to the destination, where each of the paths contains a relay node. I derive performance bounds for the achievable rate regions for these two networks.
Diferencias biométricas relacionadas con el sexo y la edad en una población ibérica de Pechiazul (Luscinia svecica cyanecula)

S'analitzen els resultats obtinguts dels valors de l'ala (corda maxima), longitud de la tercera primaria, longitud del tars i massa corporal en 93 exemplars de cotxa blava capturats en dues localitats dels voltants dels Montes de Leon. La comparacio de les mesures entre mascles i femelles va mostrar diferencies significatives en la corda maxima alar i la tercera primaria, i es van revelar com a mesures utils per a la discriminacio de sexes. Contrariament, no es van trobar diferencies en les mesures del tars i la massa corporal. Quan es comparen aquestes mesures entre mascles joves i adults, nomes apareixen diferencies significatives en la mida de la longitud de la tercera primaria.
On the Computation of Fixpoints in Static Program Analysis with an Application to Analysis of AKL

This report features an introduction to lattice-and xpoint theory and a survey of methods and recent results for xpoint computations in static program analysis. As the number of equations in static program analysis tend to be very large, it is extremely important to avoid unnecessary computations and hence to nd an optimal order in which to compute the functions. It is also important to have an eecient method for detecting stability. An algorithm satisfying these two requirements is Bourdoncle's algorithm Bou92b, Bou93] for nding a weak topological ordering of a directed graph which may contain cycles. This algorithm is a generalization of Tarjan's algorithm for nding the strongly connected components of a directed graph. This report presents results from experiments with a xpoint solver in the analysis framework for AKL (Agents Kernel Language, a concurrent constraint language developed at SICS) using the above ideas showing that a considerable speed-up (up to 3000%) can be achieved compared to that of a xpoint solver based on strongly connected components. This is explained by showing how weak topological orders computed by Bourdoncle's algorithm incorporate many intuitively good heuristics. The report also introduces partially argument independent functions, a class of functions particularly suited to the repetitive scheme of computations that arise in xpoint computations. A function of this type needs to be re-evaluated only with respect to those of its arguments which have changed since its latest evaluation. i Acknowledgments There are some people, without whom this M.Sc. Thesis would not have existed. First and foremost, many thanks go to Dan Sahlin, my supervisor at SICS, who inspiringly guided me into the wondrous world of program analysis, providing insights into everything from lattices to formulating deenitions. I am also very grateful to Bjj orn Lisper of the Department of Teleinformatics (IT) at the Royal Institute of Technology (KTH), who accepted my M.Sc. degree project proposal and has served as examiner, and to my supervisor at IT, Karl-Filip Fax en. Last, but by no means least, I would like to thank my parents, Gerd and Erkki, who sparked my interest in computers and programming by giving me an exciting present way back in the early eighties: a BASIC programming course on the ABC-80 computer.
MICROBLOGGING AS AN EDUCATIONAL TOOL TO ADVANCE LEARNING: CASE STUDIES AND RECENT REPORTS

Microblogging is a form of online communication which users beam short texts via instant messages, emails, or text messaging. Microblogging can be considered as integration of blogging, text messaging and social networking. Some of the more well-known microblogging services are Twitter, Cirip, Tumblr, Pownce, and Jaiku. They allow users to create an account and post short text messages, Web links, audio clips and photos. Each post is limited to 140-200 characters. “Twitter by far is the most popular microblogging site with 3.3 million users and will be referred to most often throughout this paper” [1, p. 186]. In the area of education, several researchers have pointed out the benefits of using Twitter in language learning. Using Twitter in a language course has the potential to change the passive atmosphere of a classroom to a dynamic one. Besides exploring collaborative writing, it also promotes writing as a fun activity. It can also foster editing skills and develop literacy skills while giving learners a chance to record their cognitive trails and then use them to reflect on their work. Students can use Tweets to send out questions and observations to the group while engaged in classroom activities. It gives the students a sense of what a person is like outside of the classroom (they end up being a lot more comfortable with classroom discourse). Having said that, using Twitter in a language course is a new phenomenon. Therefore, this paper will report a comprehensive review of literature on current research work that uses Twitter as an educational tool to advance learning.
Emergence.

From the Publisher: From one of today's most innovative thinkers comes the first book to carefully explore emergence - a surprisingly simple notion (the whole is more than the sum of its parts) with enormous implications for science, business, and the arts. In this work, John Holland, a leader in the study of complexity at the Santa Fe Institute, dramatically shows that a theory of emergence can predict many complex behaviors, and has much to teach us about life, the mind, and organizations. In Emergence, Holland demonstrates that a small number of rules of laws can generate systems of surprising complexity. Board games provide an ancient and direct example: Chess is defined by fewer than two dozen rules, but the myriad patterns that result lead to perpetual novelty and emergence. It took centuries of study to recognize certain patterns of play, such as the control of pawn formations. But once recognized, these patterns greatly enhance the possibility of winning the game. The discovery of similar patterns in other facets of our world opens the way to a deeper understanding of the complexity of life, answering such questions as: How does a fertilized egg program the development of a trillion-cell organism? How can we build human organizations that respond rapidly to change through innovation? Throughout the book, Holland compares different systems and models that exhibit emergence in the quest for common rules or laws.
Personalised ontology learning and mining for web information gathering

Over the last decade, the rapid growth and adoption of the World Wide Web has further exacerbated user needs for e±cient mechanisms for information and knowledge location, selection, and retrieval. How to gather useful and meaningful information from the Web becomes challenging to users. The capture of user information needs is key to delivering users' desired information, and user pro¯les can help to capture information needs. However, e®ectively acquiring user pro¯les is di±cult. It is argued that if user background knowledge can be speci¯ed by ontolo- gies, more accurate user pro¯les can be acquired and thus information needs can be captured e®ectively. Web users implicitly possess concept models that are obtained from their experience and education, and use the concept models in information gathering. Prior to this work, much research has attempted to use ontologies to specify user background knowledge and user concept models. However, these works have a drawback in that they cannot move beyond the subsumption of super - and sub-class structure to emphasising the speci¯c se- mantic relations in a single computational model. This has also been a challenge for years in the knowledge engineering community. Thus, using ontologies to represent user concept models and to acquire user pro¯les remains an unsolved problem in personalised Web information gathering and knowledge engineering. In this thesis, an ontology learning and mining model is proposed to acquire user pro¯les for personalised Web information gathering. The proposed compu- tational model emphasises the speci¯c is-a and part-of semantic relations in one computational model. The world knowledge and users' Local Instance Reposito- ries are used to attempt to discover and specify user background knowledge. From a world knowledge base, personalised ontologies are constructed by adopting au- tomatic or semi-automatic techniques to extract user interest concepts, focusing on user information needs. A multidimensional ontology mining method, Speci- ¯city and Exhaustivity, is also introduced in this thesis for analysing the user background knowledge discovered and speci¯ed in user personalised ontologies. The ontology learning and mining model is evaluated by comparing with human- based and state-of-the-art computational models in experiments, using a large, standard data set. The experimental results are promising for evaluation. The proposed ontology learning and mining model in this thesis helps to develop a better understanding of user pro¯le acquisition, thus providing better design of personalised Web information gathering systems. The contributions are increasingly signi¯cant, given both the rapid explosion of Web information in recent years and today's accessibility to the Internet and the full text world.
A Collection of Selected Pseudorandom Number Generators With Linear Structures

with linear structures Karl Entacher August 21, 1997 Abstract This is a collection of selected linear pseudorandom number that were implemented in commercial software, used in applications, and some of which have extensively been tested. The quality of these generators is examined using scatter plots and the spectral test. In addition, the spectral test is applied to study the applicability of linear congruential generators on parallel architectures. Additional
Textsetting as Constraint Conflict

Halle and Lerdahl (1993) lay out the problem of textsetting: when singers encounter a novel stanza for a song that they know, they have consistent intuitions about where the syllables of the stanza ought to be aligned in time when the new stanza is sung. In other words, people have productive textsetting ability. Halle and Lerdahl’s work offers the first explicit proposal for modeling this ability. The present paper likewise proposes a formal model of textsetting, but using a different theoretical approach. I argue that many well-formed textsettings represent the best possible resolution between conflicting metrical principles. These involve: (a) matching of stress to strong position; (b) avoidance of long lapses (sequences where no syllable is initiated); (c) avoidance of extreme syllable compression; and (d) alignment of phonological phrase boundaries with line boundaries. A good textsetting often must sacrifice perfect realization of one of these goals in order to satisfy another goal that takes higher priority. For instance, many lines place stressed syllables in weaker rhythmic positions, and stressless syllables in stronger positions, in order to avoid a long syllable lapse, thus sacrificing (a) to satisfy (b).
Emperor worship and Roman religion

While Roman religion worshipped a number of gods, one kind in particular aroused the fury of early Christians and the wonder of scholars: the cult of Roman emperors alive or dead. Was the divinity of emperors a glue that held the Empire together? Were rulers such as Julius Caesar and Caligula simply mad to expect such worship of themselves? Or was it rather a phenomenon which has only been rendered incomprehensible by modern and monotheistic ideas of what religion is - or should be - all about? This book presents the first study of emperor worship among the Romans themselves, in Rome and its heartland Italy. It argues that emperor worship was indeed perfectly in keeping with Roman religious tradition, which has been generally misunderstood by a posterity imbued in radically different notions of the relationship between man and the divine.
Emergent Control of Self-Reconfigurable Robots

The digital-to-analog conversion apparatus operates to convert an digital input into a corresponding analog output. A digital filter is provided for oversampling the digital input having a varying value represented in the form of multiple bits. A delta-sigma modulator operates to effect delta-sigma modulation of the oversampled digital input to reduce a number of the multiple bits for requantizing the oversampled digital input with a certain S/N ratio. A low-pass filter is provided for converting the requantized digital input into an analog output. A level detecting circuit is provided for detecting when the value of the digital input falls below a predetermined level. A shifting circuit is disposed upstream of the delta-sigma modulator and is responsive to the detected results for increasing the value of the digital input so as to improve the S/N ratio in the delta-sigma modulator. An attenuator is disposed downstream of the delta-sigma modulator and is responsive to the detected results for effecting decreasing compensation for the increased value of the digital input while substantially maintaining the improved S/N ratio so as to produce an analog output corresponding to the digital input.
An Investigation into Automatic Translation of Prepositions in IT Technical Documentation from English to Chinese

Machine Translation (MT) technology has been widely used in the localisation industry to boost the productivity of professional translators. However, due to the high quality of translation expected, the translation performance of an MT system in isolation is less than satisfactory due to various generated errors. This study focuses on translation of prepositions from English into Chinese within technical documents in an industrial localisation context. The aim of the study is to reveal the salient errors in the translation of prepositions and to explore possible methods to remedy these errors. This study proposes three new approaches to improve the translation of prepositions. All approaches attempt to make use of the strengths of the two most popular MT architectures at the moment: Rule-Based MT (RBMT) and Statistical MT (SMT). The approaches include: firstly building an automatic preposition dictionary for the RBMT system; secondly exploring and modifing the process of Statistical Post-Editing (SPE) and thirdly pre-processing the source texts to better suit the RBMT system. Overall evaluation results (both human evaluation and automatic evaluation) show the potential of our new approaches in improving the translation of prepositions. In addition, the current study also reveals a new function of automatic metrics in assisting researchers to obtain more valid or purpose-specific human valuation results.
Novel methods for multi-modal MR image analysis with applications to Parkinson's

Parkinson’s Disease (PD) affects approximately 1% of the population above the age of 65.The morphological changes in PD are typically not obvious, even to the trained eyes. Thus computational methods are needed to determine the existence and potential significance of robust changes in brain morphometry in PD. In this thesis we present a number of novel signal and image processing methods, that when applied to different Magnetic Resonance Imaging (MRI) techniques, can be used for the diagnosis and monitoring of PD. We first motivate the research by measuring the extent of residual anatomical variability (RAV) after spatial normalization (Chapter 1). In Chapter 2, we present a novel brain morphometry method, based on the analysis of the deformation field required to map template regions of interest (ROIs) to the corresponding ROIs in the individual brains images to be assessed. Chapter 3 summarizes the development of an algorithm to improve registration of the midbrain region, the primary site of pathology in PD. We also propose a novel method for joint analysis of structural images and diffusion tensor images (DTI) using the Fukunaga-Koontz Transform (FKT), which jointly transforms anatomical and DTI data into the same spatial components, but with complementary loadings (Chapter 4). This allows selection of linear subspaces which are heavily weighted on DTI changes relatively insensitive to residual morphological differences, and vice versa. All the proposed methods have been validated with clinic MRI data of both PD subjects and age-matched normal control subjects. To complement the above studies, we further designed a module-based work flow to extract time courses from function MRI (fMRI) signals, using automated segmentation of structural MRI data as masks (Appendix A). This has facilitated the analysis of fMRI studies in PD, such as examining the compensatory changes seen in PD.
Auditory Scene Analysis: The Perceptual Organization of Sound by Albert Bregman (review)

The title of this technical report says almost everything: this is indeed "a short bibliography on AI and the arts". It is presented in four sections: General Arguments, Proposals, and Approaches (31 references); Artificial Intelligence in Music (124 references); Artificial Intelligence in Literature and the Performing Arts (13 references), and Artificial Intelligence and Visual Art (57 references). About a quarter of these have short abstracts. Creating a bibliography can be a monumental task, and this bibliography should be viewed as a good and useful start, though it is by no means complete. For comparison, consider the 4,585-entry bibliography Computer Applications in Music by Deta Davis (A-REditions). No direct comparison is intended (or possible), but my point is that many more papers are likely to exist. As a rough check, I looked for several pre-1990 AI and Music articles and books (including my own, of course) in the bibliography. Out of five papers from well-known sources, only one was listed. On the other hand, I discovered a number of papers in this report that were unknown to me, so I am grateful to have a new source of references. In their introduction, the authors acknowledge the need for more references and even offer.a cup of coffee in reward for each new one. I will be sending a number of contributions, so the next time anyone is in Vienna, the coffee is on me. I hope the authors will continue to collect abstracts and publish an updated report in the future.
Sound Effects for Children's Comprehension of Variably-Paced Television Programs.

In this study, children's selective attention to, and comprehension of, variably-paced television programs were examined as a function of sound effects. Sixty-four children, equally distributed by sex and by preschool and fourth grades, were randomly assigned to one of four treatment conditions which crossed two levels of sound e-fects (presence versus absence) with two levels of program pace (high versus low rate of scene change). It was found that sound effects increased children's selective attention to key program actions which, in turn, predicted children's comprehension of targeted story events. Effects were most pronounced in the rapidly-paced television program, particularly for the younger age group. The results suggest that young children's comprehension of rapidly-paced television programs can benefit if attention is guided selectively to significant story actions by sound effects. (18 refelences) (Author/CGD) **************************1. *************************************,***** * Reproductions supplied by EDRS are the best that can be made A * from the original document. * *************-************************************t********************