Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrophysiology of word processing: the lexical processing nature of the N400 priming effect

In a semantic priming paradigm, the effects of different levels of processing on the N400 were assessed by changing the task demands In the lexical decision task, subjects had to discriminate between words and nonwords, and in the physical task, subjects had to discriminate between uppercase and lowercase letters The proportion of related versus unrelated wordpairs differed between conditions A lexicahty test on reaction times demonstrated that the physical task was performed nonlexically Moreover, a semantic priming reaction time effect was obtained only in the lexical decision task The level of processing clearly affected the event related potentials An N400 priming effect was only observed in the lexical decision task In contrast, in the physical task a P300 effect was observed for either related or unrelated targets, depending on their frequency of occurrence Taken together, the results indicate that an N400 priming effect is only evoked when the task performance induces the semantic aspects of words to become part of an episodic trace of the stimulus event
Analytical Chemistry: A Modern Approach to Analytical Science

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WV Writes and Westest 2 online writing: the impact of writing prompts on student writing proficiency

This study’s purpose was to determine the effects of students practicing writing using practice writing prompts prior to completing the summative state writing assessment. It adds data to the body of knowledge related to the use of practicing writing using practice prompts prior to students taking a high stakes state-level writing assessment. The type of research design used for this study was a quantitative, post hoc, 2 x 2 ANOVA. The data were obtained from the WESTEST 2 Online Writing composite scores and the five analytic trait scores that comprise the WESTEST 2 Online Writing scores. The study had a population of 6,459 11th grade students enrolled in West Virginia public schools. These students had all taken the WESTEST 2 Online Writing as 11th graders in the spring of 2013, and in preparation for the year-end, state level writing assessment completed either Writing Roadmap 2.0 prompts or WESTEST 2 practice prompts. Using random sampling, 190 students who wrote essays using WESTEST 2 practice prompts and 190 students who wrote essays using Writing Roadmap prompts were selected from the student population. This gave a total of 380 students in the sample size. Findings revealed that no significant effects were found when using one type of writing prompt over another on composite writing scores or on the five analytic writing scores. However, significance was demonstrated (p. 000) with the scores of females being greater than male students. Results gave stakeholders evidence that students who had a generic writing prompt versus a mirror image of the high stakes writing assessment scored no better or worse than the other. The new assessment vendors, states, counties, schools, and teachers will all benefit from these study findings as new assessment systems are adopted based on Common Core writing standards across the nation. The results are critical in supporting the discrepancy that stands between females and males and their
Using Ambient Radio Environment to Support Practical Pervasive Computing

Using Ambient Radio Environment to Support Practical Pervasive Computing Alexander Varshavsky Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2008 Mobile applications can benefit from increased awareness of the device’s context. Unfortunately, existing solutions for inferring context require special purpose sensors or beacons on the mobile devices or in the physical environment. This requirement significantly limits the deployment of these solutions. In this thesis, I argue that mobile devices can infer a substantial amount of their context by leveraging their existing wireless interfaces to monitor ambient radio sources, such as GSM cell towers or WiFi access points. I focus on two important problems in context-aware computing: localization of mobile devices and detecting proximity between mobile devices for authentication purposes. Specifically, I present an accurate localization system based on fingerprinting of GSM signals. I show that the key to more accurate GSM localization is the use of wide signal strength fingerprints that include readings from a large number of base stations. Next, I present a method that addresses the key drawback of fingerprint-based localization systems the need to collect extensive measurements to train the system in every target environment. Finally, I show how radio environment sensing can be used to secure the communication of devices that come within close proximity. Removing the need for additional hardware on the mobile devices and in the physical environment renders the approach that I present amenable for widespread deployment.
Encyclopedia Of Chemistry

With a structure that reflects the way chemistry is currently studied, the comprehensive Encyclopedia of Chemistry is the definitive reference to this vast subject area. Hundreds of chemistry-related entries, thought-provoking essays, leading discoveries, and biographies of notable chemists throughout history provide high school through early college students with the most complete information available. Addressing a subject whose understanding is crucial to all mature science students, Encyclopedia of Chemistry presents an engaging, interactive approach to learning. Additional material directs students to further pursue their studies on the Internet, including links to informative websites and summaries of chemistry-related resources. A special section listing all Nobel Prize winners in chemistry, a bibliography, and a references cited section complete this informative encyclopedia. Students and professionals alike will benefit from the extensive coverage and easy-to-use format of this resource. Entries include atomic mass unit (amu), binary fission, Boyle's law, cheletropic reaction, enzyme induction, Daniel Gabriel Fahrenheit, g-factor, Heisenberg Uncertainty Principle, Krebs' cycle, nuclear binding energy, photosynthesis, polymerase chain reaction, radiocarbon dating, suicide inhibition, and thermonuclear energy.
Methods of Discovery: Heuristics for the Social Sciences

Abbott helps social science students discover what questions to ask. This exciting book is not about habits and the mechanics of doing social science research, but about habits of thinking that enable students to use those mechanics in new ways, by coming up with new ideas and combining them more effectively with old ones. Abbott organizes his book around general methodological moves, and uses examples from throughout the social sciences to show how these moves can open new lines of thinking. In each chapter, he covers several moves and their reverses (if these exist), discussing particular examples of the move as well as its logical and theoretical structure. Often he goes on to propose applications of the move in a wide variety of empirical settings. The basic aim of Methods of Discovery is to offer readers a new way of thinking about directions for their research and new ways to imagine information relevant to their research problems. Methods of Discovery is part of the Contemporary Societies series.
Energy Efficient Wireless Random Access Network with Code-Based Multilevel Modulation Scheme

This paper presents an energy-efficiency improvement method of the Code Shift Keying (CSK)employed wireless random access network. Additionally, the energy consumption in the CSK-employed random access system is derived theoretically and evaluated. By comparing the CSK random access system with the conventional DS/SS random access system, it is shown that the CSK random access system reduces the energy consumption without degrading the throughput performance.
Automatic keyframe summarization of user-generated video

Abstract : The explosive growth of user-generated video presents opportunities and challenges. The videos may possess valuable information that was once unavailable. On the other hand, the information may be buried or difficult to access with traditional methods. Automatic keyframe video summarization technologies exist that attempt to address this problem. A keyframe summary can often be viewed quicker than the underlying video. However, a theoretical framework for objectively assessing keyframe summary quality has been absent. The work presented here bridges this gap by presenting a semantically high-level, stakeholder-centered evaluation framework. The framework can capture common stakeholder concerns and quantitatively measure the extent to which they are satisfied by keyframe summaries.With this framework, keyframe summary stakeholders and algorithm developers can now identify when success has been achieved. This work also develops a number of novel keyframe summarization algorithms and shows, using the evaluation framework, that they outperform baseline methods.
English 177: Literature and Popular Culture, The Graphic Novel.

This section of English 177: Literature and Popular Culture, The Graphic Novel was designed to teach students to “make compelling arguments about and in various media” and to produce a “professional-like final product that represents their work to the world at large. ” While twice weekly lectures by Professor Robin Valenza explored the development of the graphic novel as a genre, my section meetings focused on multimodal composition, helping students hone analytical skills and guiding them to create multimodal texts. After analyzing comics as multimodal texts, students worked in teams to interview members of the comics community—cartoonists, librarians, comics store owners, researchers, etc.—and craft documentary videos. The course mobilized the analytic potential of the comics form and its multimodal nature to encourage production of authentic texts that students viewed as having value beyond the classroom.
3D reconstruction and motion estimation using forward looking sonar

Autonomous Underwater Vehicles (AUVs) are increasingly used in different domains including archaeology, oil and gas industry, coral reef monitoring, harbour’s security, and mine countermeasure missions. As electromagnetic signals do not penetrate underwater environment, GPS signals cannot be used for AUV navigation, and optical cameras have very short range underwater which limits their use in most underwater environments. Motion estimation for AUVs is a critical requirement for successful vehicle recovery and meaningful data collection. Classical inertial sensors, usually used for AUV motion estimation, suffer from large drift error. On the other hand, accurate inertial sensors are very expensive which limits their deployment to costly AUVs. Furthermore, acoustic positioning systems (APS) used for AUV navigation require costly installation and calibration. Moreover, they have poor performance in terms of the inferred resolution. Underwater 3D imaging is another challenge in AUV industry as 3D information is increasingly demanded to accomplish different AUV missions. Different systems have been proposed for underwater 3D imaging, such as planar-array sonar and T-configured 3D sonar. While the former features good resolution in general, it is very expensive and requires huge computational power, the later is cheaper implementation but requires long time for full 3D scan even in short ranges. In this thesis, we aim to tackle AUV motion estimation and underwater 3D imaging by proposing relatively affordable methodologies and study different parameters affecting their performance. We introduce a new motion estimation framework for AUVs which relies on the successive acoustic images to infer AUV ego-motion. Also, we propose an Acoustic Stereo Imaging (ASI) system for underwater 3D reconstruction based on forward looking sonars; the proposed system features cheaper implementation than planar array sonars and solves the delay problem in T configured 3D sonars.
AGKPStream a operatory strumieniowe

Data streams will play key role in creating systems responsible for processing multiple data connected with critical events. This data processing paradigm has led to a new generation of systems that can process continuous queries. We show main ideas and foundations of prototype system called AGKPStream, that embrace temporal stream model and support stream query features. We present basic concepts, principals of operation of selected stream operators and test results for selection operator.
TOPONIMI DAN LINGKUNGAN HIDUP KAMPUNG ADATDI TATAR SUNDA (BANDUNG)

Abstrak Toponimi adalah istilah lain dari latar belakang nama-nama tempat, yang dibuat dan digunakan oleh masyarakat yang berada di lingkungan mereka hidup. Di dalam beberapa penamaan tempat di Tatar Sunda, penamaan tempat ini sering dikaitkan dengan lingkungan setempat digunakannya penamaan nama tempat tersebut. Disinyalir penamaan tempat yang seperti itu sangat berhubungan erat dengan alam lingkungan setempat. Hal tersebut banyak terjadi di Tatar Sunda (Jawa Barat). Apa tujuan penamaan tempat yang dikaitkan dengan lingkungan setempat, latar belakang, dan etimologi penamaan tersebut, akan dicoba dan dianalisis dalam tulisan ini. Kata Konci: toponimi, nama tempat, Tatar Sunda.
Classes or Objects? CRC-cards Considered Harmful : Extended Abstract

The power of the CRC-card approach lies in its associated role-play activities. Scenario roleplay is usually used in the social (behavioural) sciences to evaluate human behaviour in specific yet hypothetical situations. The role-play participants are assigned roles they enact according to predefined scenarios, much like actors following a script when playing the characters in play. During the role-play, the participants learn a lot about themselves, the other participants, and the roles played. The power of the role-play lies in its interactivity that supports creativity and sharing of knowledge. Role-playing is an effective way to simulate or explore hypothetical situations, since the characters and scripts (scenarios) can be easily varied.
The International Conference on Dependable Systems and Networks(DSN 2005)

• Report on work that may or may not be complete. • Introduce new ideas to the community. • State positions on controversial issues. Participants in this track will present a short talk (5 minutes including 1 minute for questions) and publish a concise, two-page abstract in the Supplement of the 2003 International Conference on Dependable Systems and Networks. More information on format and submission can be found at www.dsn. org/fastabs.html
Automatic acquisition of synonyms for French using parallel corpora

In this paper we describe an approach to acquire synonyms for French automatically that is easy to port across domains and across languages. The approach relies on automatic word alignments in parallel texts and uses distributional methods to compute the semantic similarity of words based on these word alignments. As a result the system outputs ranked lists of candidate synonyms for a given word. We compare the performance of the system with a system that uses syntactic contexts to acquire synonyms automatically. Evaluations are done on a large-scale French synonym dictionary. We show that the alignment-based method outperforms the syntactic method by a large margin. In addition we show that the method can easily be ported to a different language and to a different domain.
OpenMP Teaching-Learning Based Optimization Algorithm over Multi-Core System

The problem with metaheuristics, including Teaching-Learning-Based Optimization (TLBO) is that, it increases in the number of dimensions (D) leads to increase in the search space which increases the amount of time required to find an optimal solution (delay in convergence). Nowadays, multi-core systems are getting cheaper and more common. To solve the above large dimensionality problem, implementation of TLBO on a multi-core system using OpenMP API's with C/C++ is proposed in this paper. The functionality of a multi- core system is exploited using OpenMP which maximizes the CPU (Central Processing Unit) utilization, which was not considered till now. The experimental results are compared with a sequential implementation of Simple TLBO (STLBO) with Parallel implementation of STLBO i.e. OpenMP TLBO, on the basis of total run time for standard benchmark problems by studying the effect of parameters, viz. population size, number of cores, dimension size, and problems of differing complexities. Linear speedup is observed by proposed OpenMP TLBO implementation over STLBO.
Content Based Image Retrieval

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT The incremented desideratum of content-based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Google’s image search and photo album implements such as image search, Google’s Picasa project applications in general gregarious networking environment, the hunt for practical, efficacious image search in the web context. Our application provides the color based image retrieval, utilizing features like dominant color. The color features are obtained through wavelet transformation and color histogram and the amalgamation of these features is robust to scaling and translation of objects in an image. The proposed system has established a promising and more expeditious retrieval method on a input image database containing more general-purpose color images. The performance has been analysed by estimating with the subsisting systems in the literature.
The Nile Bride Myth "Revisioned" in Nubian Literature

Adrienne Rich coined the term “re-vision,” by which she means “the act of looking back, of seeing with fresh eyes, of entering an old text from a new critical direction” to understand “the assumptions in which [women] are drenched. ”1 Sharon Friedman has added another dimension to the term by clarifying that “revision” in the sense of looking back places more emphasis on interpretation, both the contemporary writer’s interpretation of the story/myth he or she is retelling and also the interpretive possibilities opened up for the readers.2 Helene Cixous, in addition, has rightfully observed: “All myths have been referred to a masculine interpretation” but when women read them, they “read them differently. ”3 My aim in this paper is “revisioning” the Nile Bride myth as retold by two Nubian writers: Yahiya Mukhtar (1963) and Haggag Hassan Oddoul (1944) in their short stories “The Nile Bride” (1990) and “The River People” (1989). In my analysis, I use the critical tools of feminist theorists like Simon de Beauvoir, Adrienne Rich, Helene Cixous, Sharon Friedman, Alicia Ostriker, Mary Daly, and Kate Millett to “look back,” “see with fresh eyes,” and “enter the old myth” with the purpose of unsnarling the hidden patriarchal practices in the writers’ myth-making. My “revisioning” reading also aims at exorcising and challenging the internalized patriarchal manifestations in Mukhtar and Oddoul’s “retellings” that have imprisoned women in their norms and symbolic moral legalities. Finally, in my “different” reading I seek to evaluate the two writers’ “interpretation” of the myth to see to what extent
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies

Description: This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described.