Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of notional number and grammatical gender on number agreement with conjoined noun phrases

ABSTRACT Morphophonology influences subject–verb agreement in a wide variety of languages. Dominant models of agreement production [e.g. Marking and Morphing, Eberhard, K. M. , Cutting, J. C. , & Bock, J. K. (2005). Making syntax of sense: Number agreement in sentence production. Psychological Review, 112, 531–559. doi:10.1037/0033-295X.112. 3.531 Competition models, Mirković, J., & MacDonald, M. C. (2013). When singular and plural are both grammatical: Semantic and morphophonological effects in agreement. Journal of Memory and Language, 69, 277–298. doi:10.1016/j.jml. 2013.05. 001 posit explanations for morphophonological effects that depend on ambiguity. The present study uses sentence completion tasks in Dutch (Experiment 1) and German (Experiment 2) that manipulate notional number and grammatical gender with conjoined noun phrases to investigate how morphophonology affects number agreement. Results show that speakers of both languages produced more singular agreement with items construed as more notionally singular, and with items containing two nouns with the same grammatical gender, even though, prima facie, grammatical gender should be irrelevant for subject–verb number agreement in these languages. Experiment 2 showed that the grammatical gender effect was not driven by morphophonological ambiguity. These results provide novel insight into how morphophonology, via cue-based retrieval, can affect subject–verb number agreement.
Introduction to Matlab 7 for Engineers

This is a simple, concise book designed to be useful for beginners and to be kept as a reference. MATLAB is presently a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students. An instructor’s manual and other web resources are available. Table of contents 1 An Overview of MATLAB 2 Numeric, Cell, and Structure Arrays 3 Functions and Files 4 Programming with MATLAB 5 Advanced Plotting and Model Building 6 Linear Algebraic Equations 7 Probability, Statistics, and Interpolation 8 Numerical Calculus and Differential Equations 9 Simulink 10 Symbolic Processing with MATLABAppendix A Guide to Commands and Functions in this Text Appendix B Animation and Sound in MATLAB Appendix C Formatted Output in MATLAB Appendix D References Appendix E Some Project SuggestionsAnswers to Selected Problems
The DArt system: constructive text, diagram and layout generation for information presentation

In this paper we present the prototype artist biography information system DArt , a system for automatically producing multimodal pages of information that appropriately combine textual and graphical representation styles. We concentrate particularly on the selection and function of layout in these pages and demonstrate that layout offers a rich resource for achieving presentational coherence. Layout mechanisms have been developed on the basis of an empirical investigation of professionally produced layouts. These decompose communicative goal structures into layout structures that constrain the placement of automatically generated graphical, diagrammatic and textual elements. Our system builds on an architectural synthesis of data-driven aggregation in information visualization and communicative-goal oriented natural language generation. The paper introduces the component technologies employed, describes the methodology adopted for the empirical investigation of multimodal page layout, and shows the results as implemented within DArt .
Voltage Stability Of Electric Power Systems

Thank you for reading voltage stability of electric power systems. Maybe you have knowledge that, people have search hundreds times for their chosen books like this voltage stability of electric power systems, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some harmful bugs inside their desktop computer. voltage stability of electric power systems is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library 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 voltage stability of electric power systems is universally compatible with any devices to read.
Teaching Software Requirements Inspections to Software Engineering Students through Practical Training and Reflection

Teaching Software Requirements Inspections to Software Engineering Students through Practical Training and Reflection Mr. Anurag Goswami, North Dakota State University Anurag Goswami is a Ph. D. Candidate in the department of Computer Science at North Dakota State University. His main research interests include empirical software engineering, human factors in software engineering, and software quality. Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a member of the IEEE Computer Society. Contact him at gursimran.walia@ndsu.edu
REEDA: Routing with energy efficiency data aggregation in wireless sensor network

The area of wireless sensor network (WSN) is shrouded with the issues of routing protocol that has been witnessed in the last few decade in the research community. One of the direct influences of routing protocol is the performance of data aggregation in WSN. This paper presents a novel routing protocol that performs a cost effective, reliable and robust routing mechanism in wireless sensor network with its highly compatibility with in-network data aggregation mechanism. A simulation study is performed Matlab, where along with proposed routing algorithm, two more conventional algorithm is chosen to perform the performance comparative analysis. The performance parameters selected for simulation study shows that the proposed routing protocol is robust against the conventional routing protocol with respect to efficiency and data delivery phenomenon.
A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications

A COMPUTATIONAL FRAMEWORK FOR LEARNING FROM COMPLEX DATA: FORMULATIONS, ALGORITHMS, AND APPLICATIONS Wenlu Zhang Old Dominion University, 2016 Director: Dr. Shuiwang Ji Many real-world processes are dynamically changing over time. As a consequence, the observed complex data generated by these processes also evolve smoothly. For example, in computational biology, the expression data matrices are evolving, since gene expression controls are deployed sequentially during development in many biological processes. Investigations into the spatial and temporal gene expression dynamics are essential for understanding the regulatory biology governing development. In this dissertation, I mainly focus on two types of complex data: genome-wide spatial gene expression patterns in the model organism fruit fly Drosophila melanogaster and Allen Brain Atlas mouse brain data. I provide a framework to explore spatiotemporal regulation of gene expression during development. I develop evolutionary co-clustering formulation to identify co-expressed domains and the associated genes simultaneously over different temporal stages using a mesh-generation pipeline. I also propose to employ the deep convolutional neural networks as a multi-layer feature extractor to generate generic representations for gene expression pattern in situ hybridization (ISH) images. Furthermore, I employ the multi-task learning method to fine-tune the pre-trained models with labeled ISH images. My proposed computational methods are evaluated using synthetic data sets and real biological data sets including the gene expression data from the fruit fly BDGP data sets and Allen Developing Mouse Brain Atlas in comparison with baseline existing methods. Experimental results indicate that the proposed representations, formulations, and methods are efficient and effective in annotating and analyzing the large-scale biological data sets.
Effects of conditions on L2 development: Moving beyond accuracy

Most research on the effects of implicit and explicit conditions, especially that which is pedagogically oriented, has been limited in terms of outcome measures. This stems from an over-reliance on accuracy data as the only dependent variable in measuring the differential effects of conditions. Accuracy data provide information on the static outcome, or product, of an input condition, but are unable to inform us about the dynamic processing profiles that underlie this product. This chapter outlines a more detailed perspective on the contributions of explicit and implicit conditions in second language (L2) development. Specifically, it highlights recent research which has used accuracy data in combination with online measures of processing in order to better characterize the effects of conditions on L2 learning and development.
Integrated versus decontextualized approaches to vocabulary instruction in a second language writing course

While vocabulary is generally understood to be an obvious part of language learning and instruction, the actual “nuts and bolts” of vocabulary instruction are not fully understood. Though there has been a renewal of interest in research into vocabulary in recent years, in terms of both theoretical motivations and pedagogical applications, many questions remain about the most effective ways of teaching vocabulary and promoting successful vocabulary development among English Language Learners (ELLs). These considerations are particularly important when it comes to the development of academic vocabulary in a higher-educational context. This study reports results from a research experiment conducted at a public research university in the western United States. The study sought to compare two possible approaches to teaching vocabulary within the context of an academic, second language (L2) composition program. Both approaches offered students explicit instruction in academic vocabulary. The two approaches examined were a decontextualized, memorization dependent approach and a contextualized, integrated approach. Because previous research has indicated that integrated approaches to vocabulary instruction can be effective for L2 learners, it is hypothesized that students taught using a contextualized and integrated approach would learn targeted academic vocabulary more effectively than those taught using a decontextualized approach.
A low noise stenography method for medical images with QR encoding of patient information

This paper proposes an approach to facilitate the process of individualization of patients from their medical images, without compromising the inherent confidentiality of medical data. The identification of a patient from a medical image is not often the goal of security methods applied to image records. Usually, any identification data is removed from shared records, and security features are applied to determine ownership. We propose a method for embedding a QR-code containing information that can be used to individualize a patient. This is done so that the image to be shared does not differ significantly from the original image. The QR-code is distributed in the image by changing several pixels according to a threshold value based on the average value of adjacent pixels surrounding the point of interest. The results show that the code can be embedded and later fully recovered with minimal changes in the UIQI index - less than 0.1% of different.
The Impact of Computer-Assisted Instruction on Ninth- and Tenth-Grade Students

With over 60 years of education reform, including the National Defense Education Act (NDEA) in 1958, Individuals with Disabilities Education Act (IDEA) in 1975, and No Child Left Behind (NCLB) in 2002, the achievement gap still existed at the beginning of the 21st century, and the effectiveness of the U. S. public school system continued to be questioned. This study was conducted to examine the effect of the use of a computer-assisted instruction curriculum, Achieve 3000, among select secondary reading students in a central Florida school district and their implications for student achievement. This study showed significant difference existed in the type of students rather than the reading program. The ANCOVA performed on all students and the ANOVAs performed for exceptional education students, males and females, free/reduced lunch and ethnic subgroups did not show a significant statistical difference in the 2012-2013 reading achievement scores. The Achieve 3000 reading program did not close the achievement gap any more than the non-Achieve 3000 reading program. Conversely, the ANOVA performed for English language learners did show a significant statistical difference between the 2012-2013 reading achievement scores. However, the effect size each question was small indicating the practical implication was also small. Ultimately, this study made a strong argument for the need for further research.
Clusters Beat Trend!? Testing Feature Hierarchy in Statistical Graphics

ABSTRACT Graphics are very effective for communicating numerical information quickly and efficiently, but many of the design choices we make are based on subjective measures, such as personal taste or conventions of the discipline rather than objective criteria. We briefly introduce perceptual principles such as preattentive features and gestalt heuristics, and then discuss the design and results of a factorial experiment examining the effect of plot aesthetics such as color and trend lines on participants’ assessment of ambiguous data displays. The quantitative and qualitative experimental results strongly suggest that plot aesthetics have a significant impact on the perception of important features in data displays. Supplementary materials for this article are available online.
How Children Learn Mathematics Teaching Implications Of Piagets Research

Thank you for downloading how children learn mathematics teaching implications of piagets research. Maybe you have knowledge that, people have search hundreds times for their chosen readings like this how children learn mathematics teaching implications of piagets research, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious bugs inside their computer. how children learn mathematics teaching implications of piagets research is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the how children learn mathematics teaching implications of piagets research is universally compatible with any devices to read.
"TALAF" and "THIKAT" as innovative time domain indicators for tracking BALL bearings

The aim of this paper is to analyze the sensitivity of fault scalar indicators extracted from time domain signals to bearing damage manifested through an increase in size and in the number of localized defects. Six scalar indicators are considered: Peak, RMS, Crest factor, Kurtosis, Impulse factor, and Shape factor. A new software application, called BEAT (BEAring Toolbox), was developed in order to simulate bearing vibratory response to the excitations produced by localized defects. The predictability of the simulation model has already been confirmed by previous comparisons with the results of experiments performed on a bearing test rig. Simulation results show that these time indicators can be used for the early prediction of a fault during the initial stages of degradation. However, they become less sensitive as the damage increases and become very severe. Two new descriptors called TALAF and THIKAT, which combine conventional descriptors, are developed in order to improve diagnosis up to the point where the ultimate signs of catastrophic failure are observed, to diagnose the severity of degradation in four stages, and to help managers schedule their maintenance operations.
Removal of antimony from aqueous solutions as stable crystalline ferric antimonate (FeSbO4) – tripuhyite

The scope of this research was to investigate the precipitation of antimony (Sb) from acidic aqueous solutions (6 g•L–1 Sb) as ferric antimonate, FeSbO4 (tripuhyite), its further crystallization by hydrothermal treatment or calcination and the determination of its degree of leachability. This work was undertaken in order to assess the technical feasibility of isolating antimony from mineral and metallurgical process streams as an environmentally stable ferric antimonate compound. Precipitation of ferric antimonate was studied over the pH range 1.5 – 5.3 at 95 °C via the co–oxidation of iron(II) and antimony(III) by drop–wise H2O2 addition. Among all tests, co–oxidation at pH 5.3 over 3 hrs with 10 wt% H2O2 was determined to be the best precipitation protocol. The precipitate was characterized as poorly crystalline tripuhyite (possessing high specific surface area - 160 – 200 m2•g-1), thus it was decided to subject it to thermal treatments to increase its crystallinity. Hydrothermal treatment at pH 1 was conducted at 200 °C for 12 hrs; calcination at 950 °C for 12 hrs. Both methods improved the crystallinity and growth of tripuhyite particles with the latter being more effective. A separate highly crystalline tripuhyite sample was synthesized by solid–state reaction at high temperature (950 °C) using reagent grade goethite and antimony pentoxide in order to serve as a reference. The leachability/stability tests indicated that pseudo–equilibrium was attained by all materials (untreated precipitate, hydrothermal product, calcination product, reference material) in ~ 15 days. Between pH 6 and 8, the untreated precipitate released 100 – 170 mg•L–1 Sb, hydrothermally treated precipitate released ~ 0.5 mg•L–1 Sb, calcined precipitate released 10 – 35 mg•L–1 Sb, and the reference tripuhyite released less than 1 mg•L–1 Sb. The results suggested that stability was mainly a function of tripuhyite crystallinity rather than pH (over the 6 – 8 range tested). The hydrothermally treated precipitate demonstrated the highest stability (aside from the synthetic material). The relatively higher Sb release recorded by the calcined precipitate was traced to its contamination with NaSbO3. Lastly, tripuhyite produced via aqueous precipitation and hydrothermal treatment appears to offer a viable option in fixing antimony from metallurgical waste streams and further work to this end is warranted. %%%%Le point essentiel de cette these est d’etudier la dissolution de l’antimoine (Sb) en solution aqueuse concentree (6 g.L-1) a partir d’antimoniate de fer FeSbO4 (tripuhyite). Ce processus peut jouer un role important dans le controle des concentrations en antimoine dans les mineraux et les eaux de dechets metallurgiques. Differentes conditions pH ont ete etudiees (pH 1.5-5.3) a 95°C et l’elimination du fer(II) et d’antimoine(III) a ete etudie grâce a une serie de reactions d’oxidation-precipitation par additon de H2O2 au goutte-a-goutte. Il n’a cependant pas ete possible d’obtenir un precipite hautement cristallin pour tous les tests; c’est…
Visual comfort of 3-D TV : models and measurements

Perceived image quality is a standard evaluation metric for 2-D imaging systems. When applied to stereoscopic 3-D imaging systems, however, it does not incorporate any added value of stereoscopic depth. Higher level evaluation metrics (naturalness and viewing experience) are proposed that are sensitive to both image quality and stereoscopic depth. A 3-D Quality Model is constructed in which such higher level evaluation metrics are expressed as a weighted sum of image quality and perceived depth. This model is validated by means of three experiments, in which stereoscopic depth (camera base distances and screen disparity) and image quality (white Gaussian noise and Gaussian blur) are varied. The resulting stimuli are evaluated in terms of naturalness, viewing experience, image quality and depth percept. Analysis revealed that viewing experience and naturalness incorporated variations in image quality to a similar extent, yet the added value of stereoscopic depth is incorporated significantly more by naturalness. This result classifies naturalness as the most appropriate evaluation metric to evaluate 3-D quality of stereoscopic stills. The 3-D Quality Model based on naturalness as evaluation metric is validly applicable to stereoscopic stills and its score is determined approximately 75% by image quality and approximately 25% by the added value of stereoscopic depth. This chapter is based on: Lambooij, M. , IJsselsteijn, W. , Bouwhuis, D. , and Heyndericks, I. (2010). Evaluation of stereoscopic stills: Beyond 2-D quality. IEEE Transactions on Broadcasting. 57: 432-444. Chapter 2: Beyond 2-D quality 11
Developed and Evaluation of Slow Release Phosphorus Fertilizer Using Mono-ammonium Phosphate and Di-ammonium Phosphate

Phosphorus (P) availability is generally low in Calcareous soils due to its association with soil constituents forming other P compounds that are of low solubility and availability for plant uptake. In particular, phosphorus use efficiency (PUE) in Saudi Arabia agricultural soils is very low. Therefore, there is a growing interest in finding an effective approach to improve PUE. Fertilizer coating with polymers has become a recognized strategy for controlling the release of nutrients and regulating their availability in the soil. In this study, two fertilizers types of phosphate-bound alginate-graft polyacrylamide (P-Alg-g-PAM) were prepared using mono-ammonium phosphate (MAP) and di-ammonium phosphate (DAP). A matrix of sodium alginate (Alg) and poly (vinyl alcohol) (PVA) was phosphorylated using either MAP or DAP, followed by grafting with acrylamide. An incubation study was conducted by using three soils with different CaCO3 content to evaluated the performance of developed fertilizer (slow-release MAP and slow-release DAP) compared with the commercial MAP and DAP fertilizer. The developed fertilizer exhibited P release of 77% for the slow release MAP and 57% for the slow release DAP until the 45 days of the application at pH 7 and 25°C. The results of incubation study, indicated that the available soil-P significantly (P<0.05) varied between the different P fertilizers. In the beginning of the incubation period, the available soil- P into different soil from slow-release MAP and DAP was slightly lower than the commercial MAP and DAP, but with the time proceed, the slow-release MAP and slow-release DAP resultant in more available soil- P than the uncoated MAP and uncoated DAP. The results indicated that, the fertilizers could be classified into two groups: the first “fast release” group showed total P release in the 10 days after incorporation of uncoated MAP and uncoated DAP fertilizers into soil. The second “slow release” group included coated slow- release MAP and coated slow- release DAP fertilizer, released of about 70% during the period of 10-30 days after incubation. The results of P fractionation chemical analysis indicated that, the soluble, exchangeable-P, Ca-occluded-P fraction, was the most dominated P forms distributed among the soils.