Miracle-dz/UniFAR-FTUs huggingface dataset:
Pre-service English Teachers' Reflections on the Use of E-mails and Blogs in Teaching Literature

Bilgisayar temelli uygulamalar dunyanin dort bir tarafinda siklikla kullanilmaya baslanmis ve dil ogretimindeki etkinligi de sorgulanmaya baslanmistir. Ancak bu uygulamalarin dil ogretiminde kullanimi uzerine pek cok yayin bulunmasina ragmen, ogrencilerin farkli bilgisayar temelli uygulamalarin hedef dilin edebiyatinin ogretilmesindeki karsilastirmali rolu hakkindaki goruslerine dair elimizdeki bilgi oldukca sinirlidir. Literaturdeki bu sinirliliga cevap olarak, bu calisma Ingilizce ogretmenligi ogrencilerine edebiyat ogretiminde karsilastirmali olarak e-posta ve blog kullanimi ustunde odaklanmaktadir. Edebiyat dersinde ogrencilerden okuduklari iki farkli romana once e-posta sonra da blog kullanarak alternatif sonlar yazmalari istenmistir. Daha sonra ogrencilere edebiyat ogretiminde e-posta, blog ve geneleksel uygulamalarin kullanilmasinda karsilastirmali olarak gorusleri sorulmustur. Sonucta ogrencilerin e-posta ve blog kullanimini geleneksel uygulamalara tercih ettigi bulunmustur. Ancak, katilimcilar blog kullanimini e-posta kullanimina tercih etmistir. Ogrenciler ayni zamanda edebiyat ogretiminde e-posta ve blog kullanimini kullanisli ve motive edici bulmus ve bu uygulamalarin aralarindaki iletisimi artirdigini belirtmislerdir.
ELECTRO SEARCH ALGORITHM FOR PROBABILISTIC MULTI-OBJECTIVE OPTIMAL POWER FLOW CONSIDERING WIND POWER AND LOAD UNCERTAINTIES

Extending wind power and uncertain nature of loads in power networks stand troubles in system provision because of the probabilistic trait of them. In order to plan accurately, it is important to evaluate uncertainties in optimal managing the power network. As regards to this matter, this paper introduces a probabilistic multi objective optimal power flow (MO-OPF) taking in to account the uncertainties of wind power and the demand. In this paper, a point estimate method (PEM) that utilizes 2m+1 points for estimation is used to handle uncertainties. In fact, the probability density function (PDF) of wind speed and demands pertaining to several locations are not accessible but statistical data is available in most cases, which helps to approximate the PDF. In this paper Electro Search algorithm, which is a new metaheuristic algorithm in optimizing problems is used to solve MO-OPF considering uncertainties. In order to show effectiveness of the procedure, IEEE 30-bus standard test system with extension of wind farms is simulated. At last, the gained results are evaluated with the Monte Carlo simulation (MCS) results. The evaluation shows great precision of the used procedure.
Cover Page ALPHA FOUNDATION FOR THE IMPROVEMENT OF MINE SAFETY AND HEALTH Final Technical Report Project Title: Full-Wave Electromagnetic Solver for Statistical Characterization, Optimal Deployment, and On-the-Fly Reconfiguration of Wireless and Through-the-Earth

Project Title: Full-Wave Electromagnetic Solver for Statistical Characterization, Optimal Deployment, and On-the-Fly Reconfiguration of Wireless and Through-the-Earth Communication and Tracking Systems Grant Number: AFC-215-54 Organization: University of Michigan, Ann Arbor Principal Investigator: Eric Michielssen Contact Information : Department of Electrical Engineering and Computer Science University of Michigan, Ann Arbor emichiel@umich.edu (734) 353 0629 Period of Performance: 09/01/15 – 4/30/18 Acknowledgement/Disclaimer: This study was sponsored by the Alpha Foundation for the Improvement of Mine Safety and Health, Inc. (ALPHA FOUNDATION). The views, opinions and recommendations expressed herein are solely those of the authors and do not imply any endorsement by the ALPHA FOUNDATION, its Directors and staff. ”
Fixed-order controller design for aircraft engine control applications

Reports on the progress made on a GOALI project sponsored by NSF and General Electric Aircraft Engine Business. Modern aircraft engines are complex multivariable systems whose inputs and outputs need to be fully coordinated to achieve tight performance and robustness specifications. The purpose of this project is to investigate the use of linear matrix inequality (LMI) techniques to designed fixed-order controllers for aircraft engine models and to compare the results to those obtained by other design methods.
Representing and Utilizing DDI in Relational Databases

This document is primarily intended for implementers of DDI-based metadata stores who are considering different technical options for housing and managing their metadata. The Data Documentation Initiative (DDI) metadata specification is expressed in the form of XML schema. With version 3, the DDI specification has become quite complex, including 21 namespaces and 846 elements. Organizations employing DDI, or considering doing so, may want to 1. store and manage the metadata elements in relational databases, for reasons of integration with existing systems, familiarity with the concepts of relational databases (such as Structured Query Language), systems performance, and/or other reasons; 2. select only the subset of the available DDI metadata elements that is of utility to their work, and have the flexibility of capturing metadata they need that would not fit into the DDI model. This paper discusses advantages and disadvantages of the relational database approach to managing DDI. It also describes methods for modeling DDI in relational databases and for formally defining subsets of DDI to employ in this environment.
Quanti fi cation of aortic calci fi cation e How and why should we do it ?

The identification and quantification of vascular calcification has garnered much research interest over the last two decades. The presence and extent of calcification in several vascular beds is independently associated with non-cardiovascular disease mortality, likely due to chronic inflammation [1]. Coronary artery calcification is an important factor associated with obstructive coronary artery disease and future cardiac events [2]. Thoracic aorta calcification is significantly associated with fatal and non-fatal cardiovascular disease and all-cause mortality, whereas abdominal aorta calcification is significantly associated with cardiovascular disease mortality [3e5]. The arch and the proximal descending aorta are the most prone segments of the thoracic aorta to demonstrate calcium by CT [3]. Coronary artery calcium is quantified using non-contrast ECGgated CT scan-based Agatston score [2]. Aortic calcification score is calculated using a modified Agatston method, which is obtained by summing the product of the pixel area (mm2) and the density score (“1” if 130e199 HU, “2” if 200e299 HU, “3” if 300e399 HU, and “4” if > 400 HU) over each calcified lesion with a CT attenuation of 130 or greater. In contrast to coronary artery calcification, the quantification of aortic calcium can vary considerably [3,6,7] because the acquisition of the CT images is not standardized for this application,
A Realization of Index Generation Functions Using Modules of Uniform Sizes

This paper considers a method to realize index generation functions. The parallel sieve method developed by the authors efficiently implements an index generation function. Unfortunately, it requires many Index Generation Units (IGUs) with different sizes. This paper shows a design method that requires only four IGUs with the same size. The presented architecture can be used as a low-power content addressable memory (CAM).
PREDICTING CONE PRODUCTION IN CLONAL SEED ORCHARD OF ANATOLIAN BLACK PINE WITH ARTIFICIAL NEURAL NETWORK

Seed orchards are an important seed source because they have the most important link between tree breeding and plantation forestry. The aim of this study is to evaluate the potential of Adaptive NeuroFuzzy Inference Systems of artificial neural networks to predict the amount of cone in clonal seed orchards of Anatolian black pine. It was found that the coefficient of determination (R), the mean absolute error (MAE) and the root mean square error (RMSE) of the artificial neural network model were 0.85, 14.83 and 18.85, respectively. The amount of cone in clonal seed orchards of Anatolian black pine was predicted with high efficiency through artificial neural networks. Considering the lack of forestry studies based on the artificial neural network, this study will enable further researches to provide a new perspective.
A REGIONAL ENSEMBLE FORECAST SYSTEM FOR SOUTHEASTERN SOUTH AMERICA : PRELIMINARY ASSESSMENT

The main objective of this study is to asses the skill of a short range regional ensemble forecast system over Southeastern South America. The proposed regional ensemble forecast system consists of 9 members: 4 pairs of perturbed forecasts plus a control forecast. The initial and boundary conditions are perturbed using scaled lagged forecasts (SLAF) from the Global Forecast System operational runs. These perturbed initial and boundary conditions are used to run a 9-regional forecast ensemble, using WRF V2.0 mesoscale model. The skill of the ensemble mean is compared against the skill of the control forecast. Also, in order to investigate if the ensemble dispersion could be used to forecast the magnitude and distribution of the control forecast errors, the relationship between these variables is measured over the region. The root mean squared error between the forecasted fields and the analysis is computed as a function of forecast times in order to asses the skill of both the ensemble and the control forecasts. When available, upper air observations are also used in a similar way. Results suggest the benefit of adopting an ensemble technique to improve regional forecasts. The verification of other ensemble derived products as the probabilistic quantitative precipitation forecast over this region, and implementation of other methods to generate initial condition perturbations are important issues to be addressed in future work.
Encyclopedia of Multimedia

Encyclopedia of Multimedia, Second Edition provides easy access to important concepts, issues and technology trends in the field of multimedia technologies, systems, techniques, and applications. Hundreds of leading researchers and world experts contributed to this comprehensive collection of nearly 400 entries. With over 1200 heavily-illustrated pages, including 120+ new entries, this Second Edition presents concise overviews of all aspects of software, systems, web tools and hardware that enable video, audio and developing media to be shared and delivered electronically. Borko Furht, Editor-in-Chief, in collaboration with the Editorial Board, surveyed and divided the field of multimedia into specific topics that collectively encompass the foundations, technologies, applications, and emerging elements behind web technologies, wireless information transfer, and audio-visual formatting and storage. Borko Furht is also the Founder and Editor-in-Chief of the international journal, Multimedia Tools and Applications. This Second Edition is designed as a reference book for academic libraries, specifically professors, researchers and advanced-level students in computer science. This book is also suitable for corporate libraries and practitioners in industry.
TAQL: a problem space tool for expert system development

In recent years, the method-based approach to knowledge acquisition has received a great deal of attention. The method-based approach abandons traditional AI programming techniques and languages. Instead, method-based knowledge acquisition tools attempt to interact with the task developer in domain terms rather than computational terms. These tools are built around highly-structured problem-solving methods, and use knowledge of the built-in methods to drive knowledge acquisition. Method-based tools can be quite powerful, but the highly-structured method built into each tool limits its scope to a narrow range of tasks. Furthermore, there are some expert system tasks for which no method-based tool has yet been built, despite serious efforts to do so. SALT, KNACK, and OPAL are well-known method-based knowledge acquisition tools. Method-based tools are designed by identifying five basic tool components: (1) A task type that refers to the class of applications that the tool can be used to implement. (2) A method that can perform tasks of this type. The method has a number of knowledge roles that must be filled with domain knowledge to form a complete expert system. (3) A computer representation for the method and the knowledge that fills its roles. (4) A task language in which the task developer describes the knowledge that will fill the method's roles. (5) A mapping from the task language to the method's knowledge roles and ultimately to the computer representation of those roles. My thesis is that this same design strategy can be applied profitably to much broader, weaker methods than those that have been used in traditional method-based tools. I demonstrate my thesis by applying this design strategy to the problem-solving method that underlies Soar, a general-purpose intelligent architecture. The resulting tool, TAQL, generally cannot be used by domain experts--using it requires programming skills. However, in a sequence of task-development experiments, TAQL outperformed both SALT and KNACK, and proved to greatly surpass existing method-based tools in scope. The experiments also indicate that TAQL can be learned quickly and that it scales well to large expert-system tasks.
r-Imaging with HST the time evolut ion of Eta Carinae ' s colliding winds

We report new l/ST/STIS observations that map the high-ionization for hidden line emission in the inner Rrcsecond of Eta Car, the first that fully image the extended wind-wind interaction region of the massive colliding wind binary. These obscrvatiolls were obtai ned afWr the 2009.0 pcriastron at orbital phases 0.08-1, 0.163 , and 0.323 of the n.54-year spectroscopic cycle. We analyze the variations in brightness and morphology of the emission, and find that blue-shifted emission (-400 to 200 km SI) is symmetric And elongated along the northeast-southwest axis, while the red-shifted emission (+ 100 to +200 kill S-I) is asymmetric and extends to the northnortll\\'eSt. Comparison t.o synthetic images generated frolll a 3-1) dynamical model strengthens the J.I) orbital orientation found by ~Iadura et al. (20 11 ), with an inclination i ~ 138°. argumellL of peri'lpsis w:o; 270°, and an orbital axis that is aligned at the same PA 011 the sky as the symmetry axis of the Homunculus. 31 2°. We discuss the potential that these and future mappings have for constraining the stellar jl<"Itlllnetel'S of the companion Slar and the long-term \1:ltinbility of the system.
- 1-A Study on Causal Relationship Between Spot Price and Futures Price of Crude Oil and Agricultural Products : Focusing on Soybean Market and Wheat Market of the United States

This paper studies the relationship among agricultural market, energy market, and agricultural derivatives market. Many previous studies empirically analyzed causal relationship between oil price and spot price of agricultural products. This study empirically analyzes how the analysis results of previous studies are shown in futures market. The empirical analysis method of this study uses Toda-Yamamoto Granger Causality methodology to test causal relationship between different prices. As a result of empirical analysis, futures price of crude oil (WTI) was verified as a Granger cause of spot price and futures price of soybean and wheat. Also, spot price of oil was found as a Granger cause of futures price of soybean and both futures and spot prices of wheat. Additionally, bidirectional causality was discovered between spot price and futures price of wheat, and the same relationship was also found in spot price and futures price of crude oil. While existing studies on prices of agricultural products and energies focused on spot prices, the results of this study show additional relationship between agricultural futures market and energy market.
Technology of recording spectra of bioactive drugs secondary radiation and mathematical treatment thereof

Technology of recording spectra of secondary radiation of bioactive specimens that makes it possible to perform express analysis of molecular structures of various classes was developed. The FSD Soft software package has been proposed for analyzing fluorescence spectra and mathematical treatment thereof. The software used made it possible to choose the scan mode (discrete or continuous) directly from the application window; to set exposure time for optical sensor; and to average measured spectrum in case of strong noise in measured radiation. Correlation functions have been built for identifying drugs from various manufacturers. Corresponding correlation coefficients have been calculated for analyzed drugs in relation to the standard. It has been shown that the calculated correlation functions make it possible to obtain highly accurate information about conformity of the sample analyzed to the standard. [Gorelik V.S. , Umarov M.F. , Sinitsyn A.A. Technology of recording spectra of bioactive drugs secondary radiation and mathematical treatment thereof. Life Sci J 2014;11(12):274-277] (ISSN:1097-8135). http://www.lifesciencesite. com. 51
Counting people in videos

In a more and more media filled world, automation is needed for analyzing media sources. In this thesis we focus on counting people in video collections. These videos collection are to large to watch manually and have a low resolution. We compare 2 different face detection techniques and 4 different image comparison techniques. With the optimal setting we achieve a reduction rate of 95.36% on average.
A 2400 bps multi-band excitation vocoder

A 2400-b/s (bit/s) multiband excitation (MBE) vocoder that attains a diagnostic rhyme test (DRT) score of 90.1 on clean speech is presented. At high signal-to-noise ratios (SNRs), this vocoder exhibits audio quality comparable to that of the 8000-bit/s MBE vocoder. At lower SNRs, e.g. 0 to 10 dB, the subjective quality of the 2400-b/s vocoder diminishes somewhat in comparison to that of other MBE vocoders; however, intelligibility remains comparable. Spectral envelope magnitude interpolation and quantization are discussed. <<ETX>>
PV Based Shunt Active Power Filter for Power Quality Improvement using PQ Theory

Nowadays, the active filters represent a viable alternative for controlling harmonic levels in industrial consumers’ electrical installations. It must be noted the availability of many different types of filter configurations that can be used but there is no standard method for rating the active filters. This paper focuses on basic principle of SAPF and the theoretical concepts describing the shunt active power Filter structure and design. The filter controller is based on instantaneous power theory (p-q theory) and the circuit performing as an inverter with PWM hysteresis control. To validate the performance of shunt active filters a Matlab-Simulink model was developed. Simulation results are presented which verifies the power quality of the grid is enhanced
Polarity Classification using Structural Features

This work investigates the role of contrasting discourse relations signaled by cue phrases, together with phrase positional information, in predicting sentiment at the phrase level. Two domains of online reviews were chosen. The first domain is of nutritional supplement reviews, which are often poorly structured yet also allow certain simplifying assumptions to be made. The second domain is of hotel reviews, which have somewhat different characteristics. A corpus is built from these reviews, and manually tagged for polarity. We propose and evaluate a few new features that are realized through a lightweight method of discourse analysis, and use these features in a hybrid lexicon and machine learning based classifier. Our results show that these features may be used to obtain an improvement in classification accuracy compared to other traditional machine learning approaches. Keywords-sentiment polarity classification; contrast discourse relation; sentence position
RELATIONSHIPS BETWEEN SEA SURFACE TEMPERATURES AND STREAMFLOWS ACROSS THE CORDILLERA

Variations in ocean circulation markedly affect atmospheric conditions in the adjacent marine regions and in the surrounding lands. These changes in the ocean-atmosphere conditions can, in turn, alter the patterns of atmospheric circulation at hemispheric scale, creating a series of anomalies at global scale through teleconnections. Some modes of oceanatmosphere variability, such as ENSO (El Niño/Southern Oscillation), NAO (North Atlantic Oscillation) and PDO (Pacific Decadal Oscillation), are associated with environmental changes in different regions of our planet. Previous studies in Argentina showed that variations in the spatial patterns of sea surface temperatures (SSTs) affected precipitation fields, and indirectly, the discharge of the Paraná and Uruguary rivers (Mechoso e Iribarren, 1992; Valdés et al., 1999; Berri et al. 1997). The major goal of this study is to describe the relationships between interannual variations in river discharges along the Andes Cordillera and SST. Basins with different fed-precipitation regimes were selected in order to include streamflow originates from rain (Bermejo river), snowmelt (Atuel river), or a combination of both (Neuquén, Limay and Chubut rivers). The ocean-atmosphere modes of variability previously mentioned are directly linked to the temporal-spatial evolution of the SSTs and sea level pressure on the adjacent regions. Consequently, in this study we use SSTs as an expression of these modes of variability.
Factors associated with stunting among Orang Asli preschool children in Negeri Sembilan , Malaysia

Introduction: Childhood stunting is recognised as one of the most significant barriers to human development. This cross-sectional study aimed to determine the factors associated with stunting among Orang Asli (OA) preschool children in Negeri Sembilan, Malaysia. Methods: A total of 264 children (50.9% boys and 49.1% girls) aged 2-6 years (M=4.04, SD=1.21 years) including their mothers from 14 OA villages in Negeri Sembilan participated in this study. Mothers were interviewed to obtain information regarding socioeconomic status, sanitation facility and personal hygiene. The height of the children and their mothers were measured. Venous blood samples were drawn from the children to estimate haemoglobin level, and stool samples were collected to screen for intestinal parasitic infections. Results: Approximately one third of the children (35.6%) and 7.8% of the mothers were stunted. One in five of the children were anaemic (21.6%), while onethird had intestinal parasitic infections (35.0%). Low birth weight (AOR=2.526, 95% CI: 1.3104.872; p=0.006), anaemia (AOR=2.742, 95% CI: 1.265-5.945; p=0.011), presence of intestinal parasitic infections (AOR=2.235, 95% CI: 1.310-3.813, p=0.003), not wearing shoes (AOR=2.602, 95% CI: 1.453-4.660; p=0.001), absence of piped water at home (AOR=2.395, 95% CI: 1.047-5.476; p=0.039), dirty nails (AOR=1.956, 95% CI: 1.163-3.289, p=0.011), and stunted mothers (AOR=3.443, 95% CI: 1.334-8.890; p=0.011) were identified as significant factors for childhood stunting. Conclusion: It is suggested that the factors identified associated with childhood stunting be included in future intervention programmes that address stunting among OA children.