Miracle-dz/UniFAR-FTUs huggingface dataset:
Lexicon Sextant: Modeling a Mnemonic System for Customizable Browser Information Organization and Management

This paper presents an ongoing study of the development of a customizable web browser information organization and management system, which the author has named Lexicon Sextant (LS). LS is a user friendly, graphical web based add-on to the latest generation of web browsers, such as Google Chrome, making it easier and more intuitive to store and retrieve favorites (bookmarks) since it only uses two levels (six main headings & 12 sub-headings). A total of 98 participants completed the task of categorizing 18 thumbnails from specific websites, together with 18 thumbnails from random websites, under six main LS headings, i.e. Work, Lifestyle, Travel, Health, Education, and Money. This was followed by a recall exercise of 12 randomly generated websites. The results showed that the participants had a better correction rate in Money and Lifestyle, but a worse correction rate in Work and Education among the overall correction rate, appointed correction rate, and self-chosen correction rate, in terms of each category task performance.
The role of peptidyl-prolyl isomerase Pin1 in neuronal signaling in epilepsy

Epilepsy is a common symptom of many neurological disorders and can lead to neuronal damage that plays a major role in seizure-related disability. The peptidyl-prolyl isomerase Pin1 has wide-ranging influences on the occurrence and development of neurological diseases. It has also been suggested that Pin1 acts on epileptic inhibition, and the molecular mechanism has recently been reported. In this review, we primarily focus on research concerning the mechanisms and functions of Pin1 in neurons. In addition, we highlight the significance and potential applications of Pin1 in neuronal diseases, especially epilepsy. We also discuss the molecular mechanisms by which Pin1 controls synapses, ion channels and neuronal signaling pathways to modulate epileptic susceptibility. Since neurotransmitters and some neuronal signaling pathways, such as Notch1 and PI3K/Akt, are vital to the nervous system, the role of Pin1 in epilepsy is discussed in the context of the CaMKII-AMPA receptor axis, PSD-95-NMDA receptor axis, NL2/gephyrin-GABA receptor signaling, and Notch1 and PI3K/Akt pathways. The effect of Pin1 on the progression of epilepsy in animal models is discussed as well. This information will lead to a better understanding of Pin1 signaling pathways in epilepsy and may facilitate development of new therapeutic strategies.
Analysis of the Interaction between Option Market and Its Underlying Market by Coupled Artificial Markets

The effect of option markets on their underlying markets has been studied intensively since the first option market launched. Despite considerable efforts, including the development of theoretical and empirical approaches, we do not yet have conclusive evidence on this effect. We investigate the effect of option markets, especially that of dynamic hedging, on their underlying markets by using an artificial market. We propose a two-market model in which an option market and its underlying market interact. We confirmed that trading behaviors on expire date are not effect on its underlying market, but dynamic hedging, arbitrage trading changed volatility on the price of underlying asset under certain conditions.
Pangenome-wide analysis of cyclic nucleotide-gated channel (CNGC) gene family in citrus Spp. Revealed their intraspecies diversity and potential roles in abiotic stress tolerance

Cyclic nucleotide-gated channels (CNGC) gene family has been found to be involved in physiological processes including signaling pathways, environmental stresses, plant growth, and development. This gene family of non-selective cation channels is known to regulate the uptake of calcium and is reported in several plant species. The pangenome-wide studies enable researchers to understand the genetic diversity comprehensively; as a comparative analysis of multiple plant species or member of a species at once helps to better understand the evolutionary relationships and diversity present among them. In the current study, pangenome-wide analysis of the CNGC gene family has been performed on five Citrus species. As a result, a total of 32 genes in Citrus sinensis, 27 genes in Citrus recticulata, 30 genes in Citrus grandis, 31 genes in Atalantia buxfolia, and 30 genes in Poncirus trifoliata were identified. In addition, two unique genes CNGC13 and CNGC14 were identified, which may have potential roles. All the identified CNGC genes were unevenly distributed on 9 chromosomes except P. trifoliata had genes distributed on 7 chromosomes and were classified into four major groups and two sub-groups namely I, II, III, IV-A, and IV-B. Cyclic nucleotide binding (CNB) motif, calmodulin-binding motif (CaMB), and motif for IQ-domain were conserved in Citrus Spp. Intron exon structures of citrus species were not exactly as same as the gene structures of Arabidopsis. The majority of cis-regulatory elements (CREs) were light responsive and others include growth, development, and stress-related indicating potential roles of the CNGC gene family in these functions. Both segmental and tandem duplication were involved in the expansion of the CNGC gene family in Citrus Spp. The miRNAs are involved in the response of CsCNGC genes towards drought stress along with having regulatory association in the expression of these genes. Protein- Protein interaction (PPI) analysis also showed the interaction of CNGC proteins with other CNGCs which suggested their potential role in pathways regulating different biological processes. GO enrichment revealed that CNGC genes were involved in the transport of ions across membranes. Furthermore, tissue-specific expression patterns of leaves sample of C. sinensis were studied under drought stress. Out of 32 genes of C. sinensis 3 genes i.e., CsCNGC1.4, CsCNGC2.1, and CsCNGC4.2 were highly up-regulated, and only CsCNGC4.6 was highly down-regulated. The qRT-PCR analysis also showed that CNGC genes were highly expressed after treatment with drought stress, while gene expression was lower under controlled conditions. This work includes findings based on multiple genomes instead of one, therefore, this will provide more genomic information rather than single genome-based studies. These findings will serve as a basis for further functional insights into the CNGC gene family.
A new high efficiency CMOS voltage doubler

A charge pump cell is used to make a voltage doubler using improved serial switches. The PMOS transistor used for the serial switch is analyzed and a model suitable for simulation is described. The importance of capacitors is shown with plots of efficiency versus load and stray capacitance. Several problems arising at low voltage or high frequency are developed and some optimizations are presented. The substrate current is totally suppressed by the technique of bulk commutation. An efficiency of 94% has been reached using external capacitors.
Developing a Noise-Robust Beat Learning Algorithm for Music-Information Retrieval

Developing a Noise-Robust Beat Learning Algorithm for Music Information Retrieval David Kurt Grunberg Advisor: Youngmoo Edmund Kim, PhD The field of Music-Information Retrieval (Music-IR) involves the development of algorithms that can analyze musical audio and extract various high-level musical features. Many such algorithms have been developed, and systems now exist that can reliably identify features such as beat locations, tempo, and rhythm from musical sources. These features in turn are used to assist in a variety of music-related tasks ranging from automatically creating playlists that match specified criteria to synchronizing various elements, such as computer graphics, with a performance. These Music-IR systems thus help humans to enjoy and interact with music. While current systems for identifying beats in music are have found widespread utility, most of them have been developed on music that is relatively free of acoustic noise. Much of the music that humans listen to, though, is performed in noisy environments. People often enjoy music in crowded clubs and noisy rooms, but this music is much more challenging for Music-IR systems to analyze, and current beat trackers generally perform poorly on musical audio heard in such conditions. If our algorithms could accurately process this music, though, it would enable this music too to be used in applications such as automatic song selection, which are currently limited to music taken directly from professionally-produced digital files that have little acoustic noise. Noise-robust beat learning algorithms would also allow for additional types of performance augmentation which create noise and thus cannot be used with current algorithms. Such a system, for instance, could aid robots in performing synchronously with music, whereas current systems are generally unable to accurately
Genetic Algorithms Data Structures Evolution Programs

genetic algorithms data structures evolution programs is available in our book collection an online access to it is set as public so you can get it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the genetic algorithms data structures evolution programs is universally compatible with any devices to read.
Perceptually-driven computer graphics and visualization (Görsel algı odaklı bilgisayar grafikleri ve görselleştirme)

PERCEPTUALLY-DRIVEN COMPUTER GRAPHICS AND VISUALIZATION Zeynep Çipiloğlu Yıldız Ph.D. in Computer Engineering Advisors: Halil Bülent Özgüç and Tolga Kurtuluş Çapın October 2016 Despite the rapid advances in computer graphics technology, enhancing the visual quality and lowering the rendering cost is still the essential goal for computer graphics researchers; since improvements in computational power raise the users’ expectations too. Especially in interactive 3D games and cinema industry, very realistic graphical contents are desired in real-time. In the meantime, due to the increasing popularity of social networking systems and data sharing, there is a huge amount of data to be visualized effectively. When used carefully, 3D introduces a new data channel for information visualization applications. For that reason, improving the visual quality of 3D computer-generated scenes is still of great interest in the computer graphics and visualization community. In the last decade, utilization of visual perception findings in computer graphics has started to get popular since visual quality is actually judged by the human perception and there is no need to spend additional cost for the physical realism of the details that cannot be perceived by the observer. There is still room for employing the perceptual principles in computer graphics. We contribute to the perceptual computer graphics research in two main aspects: First we propose several perceptual error metrics for evaluating the visual quality of static or animated 3D meshes. Second, we develop a system for ameliorating the perceived depth quality and comprehensibility in 3D visualization applications. A measure for assessing the quality of a 3D mesh is necessary in order to determine whether an operation on the mesh, such as watermarking or compression, affects the perceived quality. The studies on this field are limited when compared to the studies for 2D. A bottom-up approach incorporating both the spatial and temporal components of the low-level human visual system processes is suggested to develop a general-purpose quality metric designed to measure the local distortion visibility on dynamic triangle meshes. In addition, application of crowdsourcing and machine learning methods to implement a novel data-driven iii
Generation of optimized facial animation parameters

The MPEG-4 FBA (Face and Body Animation) standard provides a set of FAPs (Facial Animation Parameters) for animating a talking face with its moods and expressions. A face model driven by this set of FAPs can produce high quality animation at a bitrate as low as 2 kb/s. The applications for the face model range from as diverse areas as video phone and video conferencing for wireless, portable units like PDAs (Personal Digital Assistants) and cell phones, to game development and movie production. The success of facial animation relies on being able to track facial features and to generate FAPs accurately and reliably. This thesis presents a method for extracting FAPs from a person's face in a video sequence. The goal is to generate FAPs that make the animated face resemble the original face in the video sequence. The proposed method is based on feedback from the render unit during the FAP generation process. This ensures that the animated face is as close to the original face as possible. A penalty function is derived to measure the resemblance between the animated and the original face. The FAP generation process includes optimizing the penalty function, which consists of a match function and some barrier functions. The match function compares how well an animated face matches the original face in the video sequence. Knowledge about the appearance of a normal looking face is contained in the barrier functions. Each barrier functions indicates the level of distortion from a normal looking face for a certain part of a face, and advises the optimizer. Unnecessary FAPs are eliminated and the search space is partitioned into smaller, independent subspaces to speed up the optimization process. Steepest Descent Method, Cyclic Coordinate Method, Linear Search as well as Golden Section Line Search are applied to obtain an optimal solution. The results show that the generated FAPs are accurate and the proposed method is very robust. The generated FAPs can drive animations that are lifelike and truthful to the original sequence, making them suitable for very high quality applications.
Skyline Queries on Vertically Partitioned Tables

In the last decade, new database systems have emerged to support distributed data over the Web. Systems such as Amazon DynamoDB (Sivasubramanian, 2012), Bigtable (Chang et al., 2008), HBase (Dumon, 2013) and Cassandra (Lakshman & Malik, 2010) allow to store a very large size of data commonly produced in real time. To identify relevant data in large datasets, Skyline queries have been proposed (Börzsönyi et al., 2001). Users may express their preferences using a Skyline query. To exemplify Skyline queries, suppose a tourist who wants to find hotels in the Caribbean with the highest number of stars and the lowest distance to the beach and cost per night. Also, consider the 4 hotels shown in Figure 1. The tourist’s query may be specified as a Skyline query. In this type of queries, tourist’s criteria are expressed by means of functions that maximize or minimize attributes. In this example, tourist’s criteria correspond to maximize the number of stars and minimize the distance and the cost. Based on these criteria, the hotels h1, h2 and h4 in Figure 1 belong to the Skyline set. They are the best hotels since no other hotel is better than them in all criteria simultaneously. It can be noted the hotel h3 is worse or equal in all criteria than the hotel h1, and therefore, h3 is dominated by h1 and it is not part of the Skyline set. To the best of our knowledge, few works have defined evaluation algorithms for Skyline queries over Vertically Partitioned Tables (VPTs) (Balke et al., 2004; Chen et al., 2011); a VPT stores data as key-value and it may be sorted (Vasani et al., 2013). Additionaly, VPTs has received the attention of many researchers because a vertical partitioned schema achieves performance improvements that has proven to be useful in a variety and type of data processed today including data warehousing, biomedical data, and RDF data. To illustrate the evaluation of our Skyline query example on VPTs, consider the data partition shown in Figure 2. A naive solution to answer a Skyline query on VPTs is to join the VPTs; the results of joining the VPTs are data displayed in Figure 1. Subsequently, the Skyline may be computed on this set of joined tuples using an existing Skyline query evaluation algorithm on centralized databases (Börzsönyi et al., 2001; Xu et al., 2012; Godfrey et al., 2007). This naive solution is inefficient since it builds the set of joined tuples before executing an algorithm to return the Skyline. A second naive solution is to compute the Skyline before joining the VPTs. A smaller amount of data will José Subero Universidad Simón Bolívar, Venezuela
De comparatieve beoordelingsmethode voor een betrouwbare en valide cv-screening: een vergelijking tussen experts en studenten

In de praktijk en uit eerder empirisch onderzoek blijkt dat cv-screening niet altijd zorgt voor geschikte kandidaten voor een vacature. Verschillende zaken kunnen hiervan de oorzaak zijn: één beoordelaar voert de screening uit, waardoor cognitieve vertekeningen het selectieproces kunnen beïnvloeden; de beoordeling focust niet op alle relevante aspecten van de selectie of laat bepaalde criteria harder doorwegen dan andere; en/of de beoordelaar heeft onvoldoende expertise om de cv-screening uit te voeren. De huidige studie komt aan deze tekortkomingen tegemoet door de alternatieve beoordelingsmethode, comparatieve vergelijking, te beschrijven en de interbeoordelaarsbetrouwbaarheid en constructvaliditeit ervan voor cv-screening na te gaan. In deze studie is gebruikgemaakt van een bestaande vacature waarvoor 42 kandidaten hun cv hebben ingestuurd. Deze cv's zijn comparatief met elkaar vergeleken door ervaren (experts; N = 7) en minder ervaren beoordelaars (studenten; N = 57). De resultaten tonen aan dat comparatieve oordelen van ervaren beoordelaars samenhangen met een valide en betrouwbare cv-screening. De interbeoordelaarsbetrouwbaarheid van de oordelen van de studenten was lager dan de interbeoordelaarsbetrouwbaarheid van de oordelen van de experts. Hoewel er een sterke correlatie was tussen de rangorde van de ervaren beoordelaars en de rangorde van de studenten, lieten de studenten hun oordeel vaker afhangen van irrelevante aspecten.
Análisis del uso educativo y social de los dispositivos digitales en el contexto universitario panhispánico

The objective of this research is to analyze from a general and comparative perspective how University students use mobile digital devices for educational and social purposes in Spain and Latin America. It has been analysed a total sample of 886 students (442 from Spain and 444 from Latin America) from five Spanish Universities and five Latin American ones. The research methodology was based on factorial analysis and comparison between groups with non-parametric tests. The general results in both regions show that the educational purpose focuses on the use of tablets and laptops for searching academic information, studying and looking for information about University services. Likewise, the most significant differences between Spanish and Latin American students show that in Spain tablets and smartphones are more frequently used for educational purposes, but Latin America students use more frequently laptops.
Providing working memory support to anxious students using cognitive load theory compliant instructions

University of Wollongong Copyright Warning You may print or download ONE copy of this document for the purpose of your own research or study. The University does not authorise you to copy, communicate or otherwise make available electronically to any other person any copyright material contained on this site. You are reminded of the following: This work is copyright. Apart from any use permitted under the Copyright Act 1968, no part of this work may be reproduced by any process, nor may any other exclusive right be exercised, without the permission of the author. Copyright owners are entitled to take legal action against persons who infringe their copyright. A reproduction of material that is protected by copyright may be a copyright infringement. A court may impose penalties and award damages in relation to offences and infringements relating to copyright material. Higher penalties may apply, and higher damages may be awarded, for offences and infringements involving the conversion of material into digital or electronic form. Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.
Lifelong learning teachers' needs in virtual learning environments

The increasing use of repositories of integrated learning objects in e-learning environments, whether as a complement to the traditional education (blended learning), or as a common tool in distance learning by means of new technologies (virtual learning), is a clear indicator of the importance given to the organization of the educational resources, with a clear common objective, as it is the reusability of these resources in different educational experiences. Any educational experience requires the use and generation of educational resources that are candidates to be reused in a later experience [1].
Artificial neural network based stereo matching in Intelligent Space

Intelligent Space is a space which has distributed sensory intelligence and is equipped with actuators. The various devices of sensory intelligence cooperate with each other autonomously, and the whole space has high intelligence, where we can easily interact with computers and robots, and get useful services from them. The most important sensors are video cameras achieving stereo vision, where stereo matching is necessary. This paper presents an artificial neural network for the adjustment of two cameras in order to picture the same spot for means of stereoscopic vision. The two cameras are in a master-slave relationship, where the optical center of the slave camera is adjusted to picture the same point as the optical center of the master camera. The task is performed by a biologically inspired artificial neural network, which can be embedded in an analog neural hardware to produce a real time solution for camera control in stereo vision that is faster than existing solutions.
Development and Application of an Integrated Curriculum Centered on Mathematics for Elderly generations

www.ejpbl. org 30 Purpose: To develop an education program based on adult learning principles and actual experiences of elderly generations to develop an integrated curriculum centered on Mathematics. Methods: Using a theme-based integrated curriculum design for a particular group of elderly learners (n=4x18), this study followed a sequence in program development: Assessing the needs, choosing a theme, studying a topic, writing a rationale, brainstorming, stating the learning objective, planning the project, establishing detailed activity plans, programming the learning time, and assessing the efficiency and the validity. Results: Using our data analysis, core concepts were applied to everyday experiences of travel and cooking; the need to develop numeracy for elderly generations informed the development of unit objectives and learning outcomes within a Korean adult literacy curriculum. Implementation of the curriculum led to some improvement as evident from the preand post-results using the K-mmse; it was also possible for the elderly generations to engage in cooperative learning events and complement each other during the problem solving processes. Conclusion: This study is significant in that it develops and applies the principles of Problem-based Learning (PBL) an integrated curriculum design, use of real-life topics and consideration of the needs of the learner, in this case, elderly generations. As a learner-centered curriculum, it gave greater motivation to learners and made the mathematics subject relevant to their needs. It is necessary to consider the diversity across generations of learners and develop curricula in accordance with their needs.