Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensory Properties in Fusion of Visual/Haptic Stimuli Using Mixed Reality

This chapter introduces our experimental investigation about sensory properties in the fusion of visual/haptic stimuli by using Mixed-Reality (MR) technique. Especially, we focus on the discrepancy between the two stimuli. When making a purchase from TV or online, we are sometimes disappointed by a product whose actual scale and material differ from our image, even though its appearance originally impressed us. This case indicates the use of integrated multiple sensory cues that include not only the visual but also the auditory and haptic to extract the properties of objects. However, the fusion of multiple sensory cues by interaction with each other has not been well examined. We introduce our developed system that can independently control the sensibility parameters of visual and haptic cues to study the effect of these cues on sensory properties. MR techniques have been applied in factories to assist assembly, inspection and maintenance operations (Ohta & Tamura, 1999) (Wiedenmaier, et al, 2001) (Friedrich, 2002) (Fiorentino et al, 2002) (Nolle & Klinker, 2006). Recently, designing operations for industrial products are gathering attention as the next generation of MR applications (Navab, 2003) (Lee & Park, 2005) (Sandor et al, 2007). In ordinary designing operations, first, designers develop a broad plot of shape, appearance, and inner structure using a Computer Aided Design (CAD) system. After that, a mock-up, which is a dummy model of the designing product, is generated to examine such detailed information as a sense of touch and surface texture that is difficult to represent by CAD. However, generating a mock-up is very expensive, especially since it uses temporal resources. Thus, it is not practical to regenerate a mock-up whenever a design receives a minor change. The display system shown in Figure 1 might create a new style of product design to reduce operation processes. For example, in ordinary product design, when a designer wants to evaluate different impressions caused by subtle changes of surface material, many similar preproduction samples must be generated that correspond to each change. However, design variations are usually limited because they are too expensive. On the other hand, using our proposed system, evaluation is possible by superimposing computer graphics (CG) textures of various appearances onto a design mock-up that solves not only cost problems but also the limitations of trial design variations. 30
Implementation of neural network with approximations functions

The purpose of this work is to stimulate a neural network with non-linear activation functions. The non-linear functions are simulated in Microsoft Visual Studio C++ 6.0 to observe the precision and to implement on the programmable logic devices. This network is realized to accept very small input values. The multiplication between input values and weight values is realized with the add-logarithm and exponential functions. One approximates all the non-linear functions with linear functions using shift-add blocks.
Analysis, Visualization and Meta-analysis of Functional Neuroimages, Work in progress

New approaches in this thesis: Comparison of convolution models for fMRI time-series modelling Canonical Ridge Analysis applied to functional neuroimages Some kind of neuroinformatics Preface This is a working draft of Finn Årup Nielsen's Ph.D.-thesis. Most of it is in a pretty sparse form (i.e. chaotic), and it is not (yet) intented to be reader-friendly. Furthermore there are probably many errors.
Efficient semantic parsing of conversational speech

This paper presents an empirical method for mapping speech input to shallow semantic representation. Semantic parsing is realized through a bottom-up type parsing paradigm where the operators are based on semantic concepts, obtained from a lexicon. A statistically trained model specializes the parser, by guiding the runtime beam-like search of possible parses. The semantic representation is a logical form equivalent to a Discourse Representation Structure (DRS). Each output of the parser is given a probability according to how similar, given a contextual word similarity measure, the parsing process for the input was to those collected during the training phase. Contextual information during parsing allows for better coverage of large domains. The non syntactic but very semantic nature of the parser would make it very tolerant to noisy (recognized) speech input. Shallow parsing using First-Order Logic (FOL) allows for fast but meaningful enough processing of the input, which makes the parser well suited for real-time Spoken Dialogs Systems (SDS).
Using natural language processing tools to assist semiotic analysis of information systems

1. Abstract Semiotic Analysis has been used to aid understanding of information or communication systems, providing information that can be used during requirements engineering. The MEASUR approach begins by analysing short, natural language problem statements and manually extracting the key themes involved. As the process is scaled up and applied to longer problem statements, as found in many real life circumstances, the manual effort required increases. When the starting point for Semiotic Analysis is a large document describing the information system, such as an ethnographic report, assistance in the analytical process is necessary. This paper investigates how statistical Natural Language Processing Tools can aid this analysis. Natural Language Processing Tools can assist the analyst by directing them to the central themes in the document. Comparing a frequency list of the document with a frequency list from a large corpus of text such as the British National Corpus reveals the key words in the document. Collocation analysis of these keywords enables the creation of a lexical network and then closer investigation of the collocates in context allows the analyst to add semantic information to the model.
Robot Analysis and Design: The Mechanics of Serial and Parallel Manipulators

From the Publisher: This unique book provides the fundamental knowledge needed for understanding the mechanics of both serial and parallel manipulators. Presenting fresh and authoritative material on parallel manipulators that is not available in any other resource, it offers an in-depth treatment of position analysis, Jacobian analysis, statics and stiffness analysis, and dynamical analysis of both types of manipulators, including a discussion of industrial and research applications. Robot Analysis is a first-rate text for upper-level undergraduate and graduate students in mechanical engineering, electrical engineering, and computer studies, as well as an excellent desktop reference for robotics researchers working in industry or in government.
Distance Interaction through the World Wide Web in Graduate Teacher Education: A Follow-Up Analysis of Student Perceptions

This study, a follow-up to an earlier study (reported in the 1998 "Mid-Western Educational Researcher" v10 n4) used the World Wide Web and a "Class Page" to evaluate interaction strategies in a distance education setting. This study further examines Lev Vygotsky's social learning theories as they apply to the asynchronous learning environment available over the Web. Fifty-four graduate-student participants, mostly elementary school teachers, completed survey instruments concerning their participation in the "Class Page," interactions with the instructor and other students, and the use of linked resources. An initial survey regarding computer literacy skills and usage proficiencies was followed by eight additional surveys that focused on "Page" use and interaction patterns. Data analyses indicate responses that were in contrast with those of the additional study. The use of the "Class Page" enhanced interaction and contributed to the successful learning results from this distance education classroom. (Contains 21 references.) (Author/SLD) Reproductions supplied by EDRS are the best that can be made from the original document. 00 NI N AI SCOPE OF INTEREST NOTICE The ERIC Facility has assigned this document for processing to In out judgment. this document is also of interest to the Clearinghouses noted to the right. Indexing should reflect their special points of view. Distance Interaction Through the World Wide Web in Graduate Teacher Education: A Follow-up Analysis of Student Perceptions U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 1;20his document has been reproduced as received from the person or organization originating it. 0 Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. by Jay C. Thompson, Jr. Professor of Curriculum and Frederick W. Nay Associate Director University Computing Services Ball State University Muncie, Indiana PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY 'Mom. 5 o 4 TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 1 CO A Paper Presented at the OAnnual Meeting of the 2 Mid-Western Educational Research Association I13 16 October 1999 Chicago, Illinois
Cranial anatomy of the gorgonopsian Cynariops robustus based on CT-reconstruction

Gorgonopsia is one of the major clades of non-mammalian synapsids, and includes an array of large-bodied carnivores that were the top terrestrial predators of the late Permian. Most research on the clade has focused on these largest members; small-bodied gorgonopsians are relatively little-studied. Here, we redescribe a small gorgonopsian skull (MB.R.999) from the late Permian (Tropidostoma Assemblage Zone) of South Africa on the basis of neutron and synchrotron CT reconstructions, which yield new data on internal cranial morphology in Gorgonopsia. Because of the largely undistorted nature of MB.R. 999, we were also able to reconstruct unossified areas such as the brain endocast and the otic labyrinth. MB.R. 999 can be referred to the taxon Cynariops robustus based on its general skull proportions, postcanine tooth count, preparietal morphology, and vomerine morphology. We refer additional small gorgonopsian specimens from the Victoria West area to Cynariops robustus, and consider Cynarioides grimbeeki and Cynarioides laticeps to be synonymous with C. robustus. Inclusion of Cynariops in a phylogenetic analysis of Gorgonopsia recovers it within a large clade of African taxa, more closely related to Lycaenops and rubidgeines than Eriphostoma or Gorgonops.
Deep learning identifies genome-wide DNA binding sites of long noncoding RNAs

ABSTRACT Long noncoding RNAs (lncRNAs) can exert their function by interacting with the DNA via triplex structure formation. Even though this has been validated with a handful of experiments, a genome-wide analysis of lncRNA-DNA binding is needed. In this paper, we develop and interpret deep learning models that predict the genome-wide binding sites deciphered by ChIRP-Seq experiments of 12 different lncRNAs. Among the several deep learning architectures tested, a simple architecture consisting of two convolutional neural network layers performed the best suggesting local sequence patterns as determinants of the interaction. Further interpretation of the kernels in the model revealed that these local sequence patterns form triplex structures with the corresponding lncRNAs. We uncovered several novel triplexes forming domains (TFDs) of these 12 lncRNAs and previously experimentally verified TFDs of lncRNAs HOTAIR and MEG3. We experimentally verified such two novel TFDs of lncRNAs HOTAIR and TUG1 predicted by our method (but previously unreported) using Electrophoretic mobility shift assays. In conclusion, we show that simple deep learning architecture can accurately predict genome-wide binding sites of lncRNAs and interpretation of the models suggest RNA:DNA:DNA triplex formation as a viable mechanism underlying lncRNA-DNA interactions at genome-wide level.
Human Ocular Epithelial Cells Endogenously Expressing SOX2 and OCT4 Yield High Efficiency of Pluripotency Reprogramming

A variety of pluripotency reprogramming frequencies from different somatic cells has been observed, indicating cell origin is a critical contributor for efficiency of pluripotency reprogramming. Identifying the cell sources for efficient induced pluripotent stem cells (iPSCs) generation, and defining its advantages or disadvantages on reprogramming, is therefore important. Human ocular tissue-derived conjunctival epithelial cells (OECs) exhibited endogenous expression of reprogramming factors OCT4A (the specific OCT 4 isoform on pluripotency reprogramming) and SOX2. We therefore determined whether OECs could be used for high efficiency of iPSCs generation. We compared the endogenous expression levels of four pluripotency factors and the pluripotency reprograming efficiency of human OECs with that of ocular stromal cells (OSCs). Real-time PCR, microarray analysis, Western blotting and immunostaining assays were employed to compare OECiPSCs with OSCiPSCs on molecular bases of reprogramming efficiency and preferred lineage-differentiation potential. Using the traditional KMOS (KLF4, C-MYC, OCT4 and SOX2) reprogramming protocol, we confirmed that OECs, endogenously expressing reprogramming factors OCT4A and SOX2, yield very high efficiency of iPSCs generation (~1.5%). Furthermore, higher efficiency of retinal pigmented epithelial differentiation (RPE cells) was observed in OECiPSCs compared to OSCiPSCs or skin fibroblast iMR90iPSCs. The findings in this study suggest that conjunctival-derived epithelial (OECs) cells can be easier converted to iPSCs than conjunctival-derived stromal cells (OSCs). This cell type may also have advantages in retinal pigmented epithelial differentiation.
8. Sınıf Öğrencilerinin Isı-sıcaklık Ünitesindeki Çizgi Grafiği ile İlgili Zorlukları Üzerine Disiplinlerarası Bir Çalışma

The purpose of this study is to investigate 8th grade middle school students’ knowledge in reading, interpreting, and drawing line graphs in heat-temperature unit. 157 eight graders attending a public school in Ankara, Turkey, voluntarily participated in the study. A test composed of 14 open ended items was administrated to the students after the heat-temperature unit was taught at the beginning of the spring semester in 2013-2014 academic year. Content analysis method was used for data analysis. The findings showed that the students correctly answered slightly more than half of the questions in the test with a mean score of 51.3 out of 100. Based on the findings, we inferred that students encountered difficulties in reading and interpreting graphs provided in the unit of heat and temperature. For instance, students had difficulties in calculation of temperature difference. With this respect, only a small percentage (15%) correctly subtracted negative integers. Moreover, students had difficulties in drawing heating and cooling curves. Overall findings emphasized that we need further research on the integration of the disciplines of science and mathematics.
Numerical Solution of Differential Equations in Irregular Plane Regions Using Quality Structured Convex Grids

The variational grid generation method is a powerful tool for generating structured convex grids on irregular simply connected domains whose boundary is a polygonal Jordan curve. Several examples that show the accuracy of a difference approximation to the solution of a Poisson equation using these kind of structured grids have been recently reported. In this paper, we compare the accuracy of the numerical solution calculated by applying those structured grids with finite differences against the the solution obtained with Delaunay-like triangulations on irregular regions.
A real-time golf-swing training system using sonification and sound image localization

There are real-time training systems to learn the correct golf swing form by providing visual feedback to the users. However, real-time visual feedback requires the users to see the display during their motion that leads to the wrong posture. This paper proposed a real-time golf-swing training system using sonification and sound image localization. The system provides real-time audio feedback based on the difference between the pre-recorded model data and real-time user data, which consists of the roll, pitch, and yaw angles of a golf club shaft. The system also used sound image localization so that the user can hear the audio feedback from the direction of the club head. The user can recognize the current posture of the club without moving their gaze.
Modelling occurences in cultural documentation

CLIO , developped by ICS-FORTH, is a system for cultural documentation purposes of museums. It serves as a scientific catalogue of museum artifacts, as opposed to the basic documentation and administrative purposes served by usual collections management systems. It supports artifact descriptions as temporal, geographical, cultural, historical contexts; style, technique, usage, and physical data information. It allows to express certain and uncertain knowledge as well as opinions. In this paper we address the notions of existence, events and causality, referring to them collectively as notions of occurrence, within a conceptual modelling framework and in the context of developing a general ontology for cultural documentation. Particular attention is given to the representation of relations on which historical and other inferences can be based. We present a new approach, which takes mutual dependencies between time and space into account.
Satisfaction with care in aged care facilities

This research was undertaken to survey the residents and families of residents living in aged care facilities. The aim was to identify their levels of satisfaction with the quality of care received. The target population was 461 aged care facility residents in 5 nursing homes and 4 hostels belonging to a private company providing aged care. The resulting sample of 328 comprised 222 residents and 106 relatives/guardians of residents. Nearly half of the participating residents were in the age group 81 to 90 years (49.6%). The mean age of those living in nursing homes was 79.7 years (females: 81.7 years; males: 77.7 years), while the mean age of those in hostels was 82.3 years (females: 83.4 years; males: 81.2 years). The researcher met individually with each resident during his/her free time. Initially questionnaires for relatives or guardians were left in each facility, however, when the return rate was low, the questionnaires for relatives were mailed directly to them with a reply paid envelope. Ethical approval to conduct the survey was given by the University of Wollongong Human Experimentation Ethics Committee. The questionnaires were developed using a combination of two satisfaction instruments: the Satisfaction with the Nursing Home Instrument (SNHI), and the Resident Satisfaction Schedule (RSS). Responses to the satisfaction tools might be affected by other factors than level of satisfaction with the aged care facility. Therefore, two additional instruments were used: the Life Satisfaction Index (LSI), and Schwabb's Depression Scale (SDS). Four instruments were used in the questionnaires for residents, whilst the questionnaires for relatives or guardians did not use the LSI and SDS instruments. Four extra questions were added to the relatives or guardians survey, two to the SHNI section and two to the RSS section. Two open-ended qualitative questions
Enhancing Query Reformulation Performance by Combining Content and Hypertext Analyses

Information retrieval techniques play a critical role in the development of the information systems. Different searches have focused on the way of improving the retrieval effectiveness. Query expansion via relevance feedback is a good technique that proved to be a good way to improve the retrieval performance. In this paper, we investigate new methods to improve the query reformulation process. A two step process is employed to reformulate query. In a preliminary step, a local set of documents is built from the retrieved result. In a second step, a co-occurrence analysis is performed on the local document set to deduce the terms to be used for the query expansion. To build the local set we use firstly a content-based analysis. It is a similarity study between the retrieved documents and the query. The second method combines content and hypertext analyses to achieve the local set construction. The TREC frame is used to evaluate the proposed processes.
Sex-Related Differences in the Maximal Lactate Steady State

The maximal lactate steady state (MLSS) is one of the factors that differentiates performance in aerobic events. The purpose of this study was to investigate the sex differences in oxygen consumption (VO2), heart rate (HR), and the respiratory exchange ratio (RER) at the MLSS in well-trained distance runners. Twenty-two (12 female, 10 male) well-trained distance runners (23 ± 5.0 years) performed multiple 30-min steady-state runs to determine their MLSS, during which blood lactate and respiratory gas exchange measures were taken. To interpret the MLSS intensity as a training tool, runners completed a time-to-exhaustion (TTE) run at their MLSS. The relative intensity at which the MLSS occurred was identical between males and females according to both oxygen consumption (83 ± 5 %O2max) and heart rate (89 ± 7 %HRmax). However, female runners displayed a significantly lower RER at MLSS compared to male runners (p < 0.0001; 0.84 ± 0.02 vs. 0.88 ± 0.04, respectively). There was not a significant difference in TTE at MLSS between males (79 ± 17 min) and females (80 ± 25 min). Due to the observed difference in the RER at the MLSS, it is suggested that RER derived estimates of MLSS be sex-specific. While the RER data suggest that the MLSS represents different metabolic intensities for males and females, the relative training load of MLSS appears to be similar in males and female runners.
Pembuatan Simulasi Pergerakan Objek 3D menggunakan OpenGL

Grafika Komputer adalah bagian dari ilmu komputer yang berkaitan dengan pembuatan dan manipulasi gambar (visual) secara digital. Bentuk sederhana dari grafika komputer adalah grafika komputer 2D yang kemudian berkembang menjadi grafika komputer 3D, pemrosesan citra (image processing), dan pengenalan pola (pattern recognition). Grafika komputer sering dikenal juga dengan istilah visualisasi data. Grafik meliputi gambar dan pencitraan lain yang dihasilkan oleh komputer berbentuk garis, lengkungan, kurva dan sebagainya. Komputer dapat menghasilkan pencitraan dalam sejumlah pixel, dan printer dot matrix akan mencetak citra/gambar tersebut dalam sejumlah titik. OpenGL (Open Graphics Library) adalah standar API yang dapat digunakan untuk membuat aplikasi berbasis grafik, baik dua dimensi (2D) maupun tiga dimensi (3D). OpenGL ini bersifat cross-platform, artinya dapat dijalankan pada berbagai platform sistem operasi yang ada saat ini. Untuk membuat aplikasi menggunakan OpenGL, terlebih dahulu kita membutuhkan suatu konsepsi interfacing dalam implementasinya pada proteksi objek. Salah satu cara yang sudah umum digunakan adalah dengan membuat window-based OpenGL. Untuk dapat membuat konsep windowing pada OpenGL, kita memerlukan tool tertentu. Yang kita gunakan kali ini adalah GLUT (OpenGL Utility Toolkit). GLUT dipilih karena di dalamnya telah terdapat banyak fungsi yang dapat dipakai untuk pembuatan application window. Disamping itu, windowing pada GLUT juga bersifat independen terhadap sistem operasi, sehingga kita tidak perlu repot-repot untuk mengubah kode program jika diterapkan pada sistem operasi yang berbeda.
Peripheral Vascular Sonography: A Practical Guide

Chapter 1. Doppler Sonography: An Overview Chapter 2. Pathophysiology Chapter 3. Efficacy of Vascular Diagnostic Tests Chapter 4. Neck Arteries Chapter 5. Venous Thrombosis Chapter 6. Chronic Venous Thrombosis and Venous Insufficiency Chapter 7. Peripheral Arterial Disease Chapter 8. Imaging after Operative and Endovascular Interventions Appendix. Vascular Evaluation Forms