Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Diagnosis Methods of Cancer Lesions in Oral Cavity – Systematic Review

oral cancers comprise between 1% and 2% of all malignant neoplasms. a delay in recognition decreases the chances of successful treatment. recently, numerous procedures have been introduced to help detect oral cancer lesions at the earliest stage. the objective of this article is to review early diagnostic methods in medical and scientific literature. a systematic literature search was carried out in MEdliNE (PubMed), MEdliNE (ovid) and the iSi Web of Knowledge from 2000 to January 10, 2013. only the articles whose main subject was the early detection of pre-cancerous and cancerous lesions were included. Staining and other methods that use light, besides detecting dysplasia and metaplasia, also increase the visibility of lesions. thanks to chemiluminescence, pathologically changed tissue becomes clearer and more visible during sample collection. incision biopsy has some disadvantages, which may lead to false negative results. these disadvantages can be reduced through careful adherence to the procedure and use of additional visualization methods, but invasiveness make this the last of choice technique. Nowadays, incision biopsy is considered the gold standard of diagnosis. However, many less invasive methods that are highly sensitive and specific also seem to be effective (Dent. Med. Probl. 2014, 51, 4, 421–429).
Meningkatkan Aktivitas, Respon, dan Hasil Belajar Peserta Didik pada Mata Pelajaran Kewirausahaan Melalui Model Pembelajaran Kooperatif Tipe Jigsaw

Tujuan penelitian ini adalah untuk meningkatkan hasil belajar kewirausahaan pada kompetensi dasar menganalisis aspek-aspek perencanaan usaha melalui model pembelajaran kooperatif tipe jigsaw. Penelitian ini merupakan penelitian tindakan kelas (Classroom Action Research) dengan menggunakan pendekatan deskriptif kualitatif, yang dilaksanakan dikelas 11 jurusan administrasi perkantoran (AP) 2 di SMK Negeri 4 Pinrang, yang berjumlah 33 Peserta Didik, terdiri dari 8 laki-laki dan 25 perempuan. Penelitian ini dirancang dalam dua siklus, setiap siklus terdiri dari 4 tahap, yaitu perencanaan, pelaksanaan, pengamatan, dan refleksi. Teknik pengumpulan data yang digunakan adalah Tes, observasi, angket dan dokumentasi. Hasil penelitian menunjukkan bahwa secara umum hasil belajar kewirausahaan pada kompetensi dasar menganalisis aspek-aspek perencanaan usaha dapat meningkat melalui model pembelajaran kooperatif tipe Jigsaw. Hal ini dapat dilihat dari adanya peningkatan nilai rata-rata Peserta Didik dalam setiap siklus yaitu pada siklus I sebesar 73,93 dengan ketuntasan klasikal sebesar 60,60 persen, dan pada siklus II, nilai rata-rata meningkat menjadi 83,03 dengan ketuntasan klasikal 87,87 persen. Dari siklus I ke siklus II hasil belajar Peserta Didik meningkat secara signifikan. Kata Kunci: Model Pembelajaran Kooperatif Tipe Jigsaw, Hasil Belajar.
Analysing ERP Use with the Structurational Model of Technology

The post implementation period of an ERP implementation in an Australian manufacturing organisation is examined with the aim of understanding and explaining the business consequences that occurred. The description of the case is followed by an analysis using the structurational model of technology. The radical change in the way users needed to understand the business in terms of the new system, coupled with insufficient training and support post implementation, and user resistance to change, impacted on the benefits the organisation gained from the system.
Probabilistic topic models for automatic harmonic analysis of music

Author(s): Hu, Diane J. | Abstract: Though music is an art form with tremendous expressive capacity, the underlying frameworks of most musical compositions are highly structured and organized. As such, musical pieces are commonly studied by analyzing their melodic and harmonic structures. Two important concepts in any such analysis are the key and tonic. The key of a musical piece identifies a principal set of pitches that the composer uses to build its melodies and harmonies; the tonic is the most stable pitch in this set. Each musical piece is characterized by one overall key. However, the key can be shifted within a piece by a compositional technique known as modulation. Notwithstanding the infinite number of variations possible in music, most pieces can be analyzed in these terms. In this dissertation, we propose novel methods for modeling a corpus of musical pieces in terms of its harmonic structure. We describe several different models for symbolic and audio musical input, as we find both to be valuable data formats to perform harmonic analysis on. Our models are based on Latent Dirichlet Allocation (LDA), a popular probabilistic model traditionally used for discovering latent semantic topics in large collections of text documents. In our variant of LDA, we model each musical piece as a random mixture of keys. Each key is then modeled as a key-profile -- a distribution over a set of pitch classes. Using this representation, we show how to accomplish the tasks of key-finding and modulation- tracking, the first steps to any kind of harmonic analysis. Our approach to such tasks is unlike that of previous studies, which depend on extensive prior music knowledge or supervision by domain experts. Based on a model of unsupervised learning, our approach bypasses the need for manually key-annotated musical pieces, a process that is both expensive and prone to error. As an additional benefit, it can also discover correlations in the data of which the designers of rule-based approaches are unaware. Since we do not rely on extensive prior knowledge, our model can also be applied in a straightforward way to other, non-western genres of music with different tonal systems
A study of the relationship between the performance and dependability of a fault-tolerant computer

This thesis studies the relationship by creating a tool (FTAPE) that integrates a high stress workload generator with fault injection and by using the tool to evaluate system performance under error conditions. The workloads are comprised of processes which are formed from atomic components that represent CPU, memory, and I/O activity. The fault injector is software-implemented and is capable of injecting any memory addressable location, including special registers and caches. This tool has been used to study a Tandem Integrity S2 Computer. Workloads with varying numbers of processes and varying compositions of CPU, memory, and I/O activity are first characterized in terms of performance. Then faults are injected into these workloads. The results show that as the number of concurrent processes increases, the mean fault latency initially increases due to increased contention for the CPU. However, for even higher numbers of processes (less than 3 processes), the mean latency decreases because long latency faults are paged out before they can be activated.
Language acquisition studies in generative grammar : papers in honor of Kenneth Wexler from the 1991 GLOW workshops

1. Tables and Figures 2. Abbreviations 3. Contributors 4. Introduction: On the initial states of language acquisition (by Hoekstra, Teun) 5. VP, Null Arguments and COMP Projections (by Hyams, Nina) 6. Crosslinguistic Evidence for Functional Projections in Early Child Grammar (by Deprez, Viviane) 7. The Seeds of Structure: A Syntactic analysis of the acquisition of Case marking (by Clahsen, Harald) 8. From Ajunct to Head (by Hoekstra, Teun) 9. Early Null Subjects and Root Null Subjects (by Rizzi, Luigi) 10. Asking Questions without CP's? On the Acquisition of Root wh-questions in Bernese Swiss German and Standard German (by Penner, Zvi) 11. Succesful Cyclic Movement (by Thornton, Rosalind) 12. Early Acquisition of Scrambling in Japanese (by Otsu, Yukio) 13. Direct Access to X'-Theory: Evidence from Korean and Turkish adults learning German (by Vainikka, Anne) 14. Word Order and Nominative Case in Non-Native Language Acquisition: A longitudinal study of (L1 Turkish) German Interlanguage (by Schwartz, Bonnie D.) 15. Optionality and the Initial State in L2 Development (by Eubank, Lynn) 16. Index of Languages 17. Index of Names 18. Index of Subjects
The Effect of Computer-Based Pronunciation Readings on ESL Learners' Perception and Production of Prosodic Features in a Short-Term ESP Course

The Effect of Computer-Based Pronunciation Readings on ESL Learners’ Perception and Production of Prosodic Features in a Short-Term ESP Course Caitlin Jolley Department of Linguistics and English Language, BYU Master of Arts Recent studies on pronunciation teaching in ESL classrooms have found that the teaching of suprasegmentals, namely stress, pausing, and intonation, has a great effect on improving intelligibility (Derwing, Munro, & Wiebe, 1998; Kang, Rubin, & Pickering, 2010; Morley, 1991). The current project describes the development and implementation of computer-based pronunciation materials used for an English for Specific Purposes (ESP) program. The pronunciation program made use of cued pronunciation readings (CPRs) which used suprasegmentals and were developed for English as a second language (ESL) missionaries at the Provo, Utah, Missionary Training Center (MTC). Because there was no pronunciation program in place at the MTC, instructional materials that focused on prosodic features were greatly needed. Missionaries participated in the program anywhere from three to six weeks. Results from the implementation period revealed that missionaries made medium to large gains in their ability to perceive suprasegmentals after using the practice tasks and small-medium gains in their ability to produce suprasegmentals during this short time period. Recommendations for further development, implementation, and testing of similar materials are made for use with individuals in other ESP settings like these missionaries at the MTC.
Circle parameters estimation using Hough transform implemented on GPGPU

In the paper implementation of the Hough transform using NVidia CUDA platform is considered. The GPGPU implementation is based on processing in parallel a set of Hough transforms with synchronized memory accesses for better utilization of the texture cache. The best code variant is based on quadrature sine and cosine functions, an unrolled loop and a single write to the global memory. The processing time is about 1000 shorter in comparison to the Matlab code, which is necessary for processing the video data.
Complexity reduction of turbo decoding

This paper addresses two complexity reduction techniques for turbo decoding. The first is turbo-CRC encoding where CRC is incorporated into the turbo decoding iteration processes to reduce the average number of iterations needed. Simulations show that the W-CDMA reverse link suffers no performance degradation even if the average number of iterations is reduced by more than 75% at BER=10/sup -6/ under frequency selective Rayleigh fading. The second is a new low-complexity turbo internal interleaver called the prime interleaver. Turbo coding with the proposed interleaver can generate codewords having good Hamming weight for a wide range of interleaving lengths (257-8192 bits).
Visual Scanning, Memory Scanning, and Computational Human Performance Modeling

This article describes two studies that were conducted as part of a systematic effort at the University of Michigan to develop computational and comprehensive models of complex human performance and to improve the scientific basis for these models. The focus of the first study was the integration of models of divided attention and models of selective attention in performing complex tasks. Two experiments were conducted, which required the subjects to perform a simple information acquisition task in the first experiment and a complex information integration task in the second experiment. The two types of tasks were performed either alone or concurrently with a tracking task, and involved either spatial or verbal material. The location of the relevant spatial and verbal material was displayed with 4 levels of spatial uncertainty, but with approximately the same expected distance for visual scanning. The results demonstrated the strengths and limitations of existing models. The potential value of power functions in quantifying different aspects of task interference was proposed in the paper. A queuing network model, that was proposed recently (Liu, 1993a) as an unifying theory and an integrated computational model of human multi-task performance, was also tested in this study. In the second study, a computational model was derived from models of memory scanning and visual scanning and evaluated through an experiment to examine the integration of the two aspects of human performance modeling. We report here the first of a series of experiments of the study, which required the subjects to search through an organized array of circles to decide whether any of the circles carried any of the memorized items in their working memory. The joint effects of two experimental factors were investigated: the number of items in working memory and the number of circles need to be searched.
DEVELOPMENT OF HUMAN FACTORS GUIDELINES FOR ADVANCED TRAVELER INFORMATION SYSTEMS (ATIS) AND COMMERCIAL VEHICLE OPERATIONS (CVO): DRIVER MEMORY FOR IN-VEHICLE VISUAL AND AUDITORY MESSAGES

Three experiments were conducted in a driving simulator to evaluate effects of in-vehicle message modality and message format on comprehension and memory for younger and older drivers. Visual icons and text messages were effective in terms of high comprehension and high memory retention over a 50-sec delay period for both older and younger drivers. Auditory icons (earcons) were unsuitable for older drivers, although younger drivers performed well using symbolic and speech in-vehicle messages. For visual only, auditory only, and auditory plus visual messages both textual and symbolic message formats were equally effective. No adverse effects of in-vehicle message presentation were found for lateral and longitudinal vehicle control. Implications of these findings for development of Advanced Traveler Information Systems (ATIS) guidelines were discussed.
An analysis of two layers of encryption to protect network traffic

Abstract : In this thesis, we attempt to analyze the effectiveness of defense-in-depth mechanisms. As an example of defense-in-depth, we study two layers of encryption to protect network traffic. At a quick glance, two layers of encryption appear to provide some strong security benefits including increased host- and network-level security, increased cryptographic strength, and a backup layer of encryption. However, intuition and quick glances should not be relied upon in the field of Information Assurance. The intent of this thesis is to quantitatively show the increase in security the extra layer of encryption provides and to compare this information with the cost of the extra security. This thesis proposes two architectures with one layer of encryption and several architectures with two layers of encryption. It quickly compares these architectures and then starts a more in-depth analysis of the best two-layer architecture using Fault Tree Analysis. The thesis presents the results from the study, provides some recommendations based on the results, and discusses future work in this field.
Interactive Visual Music

How can Visual Music be composed and presented in such an engaging way that it will turn spectators into participants? How to connect a youthful, twenty-first century audience who are keen to update their Instagram story with Visual Music? Visual Music is an art form, which is “an equal and meaningful synthesis of the visible and audible” (Lund & Lund 2009 149) and “is typically non-narrative and non-representational” (Evans 2005 11). Visual Music is often presented as cinema. Cinema audiences are generally considered to be passive spectators, whose “reactions are pre-programmed by the director, crew, cast and writer” (Mackintosh 2003 2). This paper highlights the nexus between, to use McCall’s (2004) terms ‘the cinematic, the sculptural and the pictorial’, with a focus on creating interactive Visual Music installations.
Terrain map building for a walking robot equipped with an active 2D range sensor

This paper deals with problems of rough terrain perception and mapping for walking robots equipped with inexpensive optical range sensors providing 2D data only. Two different sensing modalities are considered: the structured light sensor, and the Hokuyo URG-04LX laser scanner. Measurement uncertainty in both sensors is taken into account, and different geometric configurations of these sensors on the walking robot are analysed, yielding the configurations that are best for the task of terrain perception. Then, application of the acquired range data in local terrain mapping is presented. The mapping algorithm as well as novel methods for removing map artifacts that result from qualitative errors in range measurements are detailed. Experimental results are provided.
Dynamically stable legged locomotion : progress report : October 1982 - October 1983

This report documents our recent progress in exploring active balance for dynamic legged systems. The purpose of this research is to establish a foundation of knowledge that can lead both to the construction of useful legged vehicles and to a better understanding of legged locomotion as it exists in nature. We have made progress in five areas: • Balance in 3D can be achieved with a very simple control system. The control system has three separate parts, one that controls forward running velocity, one that controls body attitude, and one that controls hopping height. Experiments with a physical 3D machine that hops on just one leg show that it can hop in place, travel at a specified rate, follow simple paths, and maintain balance when disturbed. Top recorded running speed was 2.2 m/sec (4.8 mph). The 3D control algorithms are direct generalizations of those used earlier in 2D, with surprisingly little additional complication. • Computer simulations of a simple multi-legged system suggest that many of the concepts that are useful in understanding locomotion with one leg can be used to understand locomotion with several legs. A planar model with two legs trots and bounds with the same three part control decomposition used for the one-legged systems. Our most exciting result was to find a particular case for which the model bounds with each leg controlled independently, and without the need for active control of body attitude. • We have designed a four-legged running machine in order to experiment with balance in systems with more than one leg. The machine is arranged like a large dog, with narrow hips, and a long body. While the leg design for this system is more complicated than our previous designs, the machine is very much like four 3D hopping machines connected by a common frame. Our intention is to study the trot, the rack, the gallop and the bound, and a number of gaits that are not normally used by natural quadrupeds. • We have begun to study gait in terms of coupled oscillations. The question is, "Are gait transitions the result of explicit changes in control, or are they changes in the modal behavior of an oscillating mechanical system? " We do not have an answer yet, but we have made progress in exploring this question with a planar model. We have found that changes in the ratio of leg stiffness to hip stiffness change the pattern of rocking and swaying motions. • For legged systems to be maneuverable, they must be able to traverse arbitrary paths in the horizontal plane. A useful component in accomplishing this goal is the ability for a legged system to travel a path of arbitrary curvature. We describe simple methods that permit a simulated 3D one-legged system to travel along paths of varying curvature. They depend on jointly manipulating the placement of the foot on each step, and the speed of forward motion. The report closes with a collection of partially formulated ideas that should stimulate more thinking and lead to further work.
Local representations and random sampling for speaker verification

In text-independent speaker verification, studies focused on compensating intra-speaker variabilities at the modeling stage through the last decade. Intra-speaker variabilities may be due to channel effects, phonetic content or the speaker himself in the form of speaking style, emotional state, health or other similar factors. Joint Factor Analysis, Total Variability Space compensation, Nuisance Attribute Projection are some of the most successful approaches for inter-session variability compensation in the literature. In this thesis, we criticize the assumptions of low dimensionality of channel space in these methods and propose to partition the acoustic space into local regions. Intra-speaker variability compensation may be done in each local space separately. Two architectures are proposed depending on whether the subsequent modeling and scoring steps will also be done locally or globally. We have also focused on a particular component of intra-speaker variability, namely within-session variability. The main source of within-session variability is the differences in the phonetic content of speech segments in a single utterance. The variabilities in phonetic content may be either due to across acoustic event variabilities or due to differences in the actual realizations of the acoustic events. We propose a method to combat these variabilities through random sampling of training utterance. The method is shown to be effective both in short and long test utterances.