Miracle-dz/UniFAR-FTUs huggingface dataset:
Structure, Morphology, and Misfit Accommodation Mechanism of MgIn2O4 Films Grown on MgO(001) Substrates by Solid State Reaction

Thin Mgln204 spinel films were grown on cleaved MgO(OOl) substrates by a surface reaction between the MgO substrate and an ln203 vapour at temperatures around 1400 °C. Investigations by SEM, EDX, TEM, SAED, and HREM revealed the films to grow in almost [001] orientation and to develop a specific morphology. They are composed of domains, whose crystal lattices are tilted by about 3° around two different (110) axes. A network of interfacial dislocations with Burgers vectors a/2 [011] and a/2 [101] was found accommodating the large lattice misfit of +4.5%. The observations are discussed in terms of a model featuring the interplay between the atomic mechanism of the solid state reaction, and the properties of the interfacial dislocations persisting at the moving reaction front.
Touch Behavior Analysis for Large Screen Smartphones

As phone touch screen becomes larger and larger, for single hand holding posture, the user interaction can be extremely hard if icon do not be placed into proper touch area. So it is necessary to know the specific suitable touch zone on large phone screen. In this paper we performed a target selection task on a large screen smartphone and analyzed the task performance under different variable conditions. Response time, hit rate and hit offset differences between gender and target location and the possible reasons for such difference are discussed. Design recommendation for button and icon location are also been discussed based on the experiment result.
Text Extraction from Natural Scene Images using Prewitt Edge Detection Method

Digital images captured by camera contains many useful information. Many research has been done for content retrieval from natural images, for example, object detection, face recognition and automatic text extraction. In recent years, many methods are suggested for extracting text data from images as it has wide range of applications. Three popular algorithms for this are: Edge detection, Connected Component and texture-based. The purpose of this paper is to compare the two basic methods Prewitt Edge Detector and Gaussian Edge Detector with different structuring elements. The algorithms are implemented and applied to an image set with different text size, font styles and text language. Performance is evaluated based on the precision rate and recall rate for each method on the same image set.
The Problem of Evil

Reasonable FaithPathways in TheodicyGratuitous Suffering and the Problem of EvilThe Evidential Argument from EvilGod and the Problem of EvilThe Problem of EvilThe Problem of EvilModernity and the Problem of EvilAnimal Suffering and the Problem of EvilThe Problem of EvilProvidence and the Problem of EvilChristian Faith and the Problem of EvilThe Problem of Evil in the Western TraditionThe Blackwell Companion to The Problem of EvilThe Problem of EvilThe Challenge of EvilProblems of Evil and the Power of GodThe Problem of EvilThe Problem of Evil in Early Modern PhilosophyThe Problem of Evil and the Problem of GodThe Problem of EvilThe Problem of EvilGod and the Problem of EvilSatan and the Problem of EvilEarly Modern Women and the Problem of EvilThe Cambridge Companion to the Problem of EvilThe Problem of EvilThe Problem of EvilTheodicy of LoveGod And EvilThe Reality of God and the Problem of EvilThe Problem of EvilThe Problem of Job and the Problem of EvilTheology and the Problem of EvilThe Problem of EvilDialogues Concerning Natural ReligionEthics and the Problem of EvilC. S. Lewis and a Problem of EvilJourney Back to GodThe Problem of Evil
User's Perspectives on Privacy in Web-Based Applications

Privacy is a major concern in web-based applications. While privacy was a sensitive issue long before the advent of computers, the phenomenal growth in Internet commerce in recent years has brought privacy concerns to the fore. The problem of privacy has been further exacerbated by the fact that the Web makes it easy for new data to be automatically collected and analyzed by sophisticated data mining tools and personalized marketing services. This study explores the nature of the privacy concern in detail, especially for the online environment. The objective of this study is to get a better understanding of the factors that can affect online privacy concerns and how these concerns could affect the users' behavior and the future of the Internet and electronic commerce.
Explaining Psychological Statistics

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Angle conversion and application of dynamic accuracy testing target and photo-electric theodolite

To solve precision examination problem of the T-photo-electric theodolite,the relation between the spatial location of the photoelectric theodolite and dynamic precision testing target was analyzed.The relation expressions of dynamic precision target′s encoder and the azimuth and pitching angle of photo-electric theodolite was derived.The error sources were analyzed and revised.To meet the needs of actual detection,the angle variation among them is calculated.The mathematics model was established.Based on the T-photo-electric theodolite′s structure feature,eccentricity method was designed to detect static precision.And correctness of the mathematics model and the method were verified.
Investigation Potential Biomonitors of Some Elements (Zn, Cr, Cd, Pb, Ni, Fe, Cu) Verbascum insulare Boiss. and Heldr. (Scrophulariaceae) from East Anatolia Turkey

In this study, heavy metals such as Zn, Cr, Cd, Pb, Ni, Fe and Cu were investigated in Verbascum insulare Boiss. & Heldr. (Scrophulariaceae) as well as in soil grown by using ICP-OES. The aim of this study was to examine the potential of biomonitors for heavy metal polluted areas. The plant and soil samples were collected from their natural habitat at different locations in 2017. In the whole plant, Cr among all heavy metals was found to be at the highest level of 140,55 mg/kg, followed by Pb 63,70 mg/kg and Fe 57,30 mg/kg, while the other metals were at low concentration in V. insulare Boiss. & Heldr. The obtained data were compared with the respective values recommended by the polish standards. Our findings were tested with one-way ANOVA Duncan tests for high significance levels of P Cat (L2) > Palandoken Mountain (L1). V. insulare might be suitable for remediation of Cr-, Pb- and Fe-contaminated soils. This plant can be used as a bioindicator and a biomonitor for polluted heavy metals.
Essential Oil of Centaurea damascena Aerial Parts, Antibacterial and Synergistic Effect

Abstract Centaurea damascena a member of Asteraceae family was investigated for its aerial part essential oil composition and antibacterial activities. A total of 35 components were characterized with the presence of oxygenated terpenes that represents more than 86 % of the total essential oil components. The composition was dominated by 11.45 % fokienol, 8.8 % thymol, 8.21 % α-terpineol, 7.24 % chrysanthemic acid, 7.13 % terpinen-4-ol and 6.59 % borneol with a high degree of polymorphism in the occurrence of these compounds as compared with the different species of Centaurea. The antibacterial activity was assessed by using the disc diffusion methods and the minimum inhibition concentrations (MIC) using microdilution method. The essential oils from Centaurea damascena possessed antibacterial activity against eight out of ten tested microorganisms at 5 μg/mL. While same oil showed only inhibitory activity at 20 μg/mL against Klebsiella pneumoniae (BL) and Pseudomonas aeruginosa (BL). The MIC of essential oils of C. damascena ranged from 15-1000 μg/mL. A synergetic effect against E. coli and K. pneumoniae was observed when 5 μg/mL oils were used with some of the ineffective antibiotics such as gentamicin for E. coli and vancomycin, ampicilin and chloramphenicol for K. pneumoniae. The activity of the antibiotic cefixime was increased by 26 % against K. pneumoniae after combination with the oil suggesting using it as potential adjuvant in the antibiotic treatment of pneumonia caused by K. pneumoniae and other ailments caused by oil-susceptible bacteria.
A Study of Factors Affecting EFL Learners’ Reading Comprehension Skill and the Strategies for Improvement

Reading comprehension is a significant skill that furthers the development of learners’ various academic tasks. It helps them decoding a text, analyzing, explaining, and expressing their own ideas about written materials. Learners should develop a strong ability to understand written materials to struggle with the academic tasks that their teachers deal with them. A primary objective of reading comprehension is to aid learners improve skills and comprehension of texts if they want to be skilled readers. In this review paper, the researchers define the term reading comprehension and reading strategies, elaborate previous findings about the relationship between reading strategies and reading comprehension skill, state factors affecting reading comprehension skill, explain the effective strategies for reading comprehension, and finally mention suggestions for improving reading comprehension skill. The findings of this review paper indicated that appropriate reading strategies play a vital role in improving EFL learners’ reading comprehension skill.
On Feature Selection Stability: A Data Perspective

The rapid growth in the high-throughput technologies last few decades makes the manual processing of the generated data to be impracticable. Even worse, the machine learning and data mining techniques seemed to be paralyzed against these massive datasets. High-dimensionality is one of the most common challenges for machine learning and data mining tasks. Feature selection aims to reduce dimensionality by selecting a small subset of the features that perform at least as good as the full feature set. Generally, the learning performance, e.g. classification accuracy, and algorithm complexity are used to measure the quality of the algorithm. Recently, the stability of feature selection algorithms has gained an increasing attention as a new indicator due to the necessity to select similar subsets of features each time when the algorithm is run on the same dataset even in the presence of a small amount of perturbation. In order to cure the selection stability issue, we should understand the cause of instability first. In this dissertation, we will investigate the causes of instability in high-dimensional datasets using well-known feature selection algorithms. As a result, we found that the stability mostly data-dependent. According to these findings, we propose a framework to improve selection stability by solving these main causes. In particular, we found that data noise greatly impacts the stability and the learning performance as well. So, we proposed to reduce it in order to improve both selection stability and learning performance. However, current noise reduction approaches are not able to distinguish between data noise and variation in samples from different classes. For this reason, we overcome this limitation by using Supervised noise reduction via Low Rank Matrix Approximation, SLRMA for short. The proposed framework has proved to be successful on different types of datasets with high-dimensionality, such as microarrays and images datasets. However, this framework cannot handle unlabeled, hence, we propose Local SVD to overcome this limitation.
Contact, animacy, and affectedness in Germanic

This paper takes as its starting point the striking and systematic variation in the expression of direct objects in English, Swedish and German with respect to verbs of surface contact like ‘kick’. While in English, kick can easily appear with an inanimate object as in kick the door, in Swedish and German the corresponding sentence must be expressed using a preposition. We propose that this difference between the languages reduces to an independent difference in the presence or absence of a null particle At loc of central coincidence. Concentrating on the comparison between English and Swedish, we argue that this small difference in the availability of a lexical item has consequences for a range of different, apparently unrelated constructions across the languages. In addition, we argue for the central role of animacy in both languages in mediating the ability of an argument to appear in direct object positions interpreted as affected.
Japanese Vocabulary Learning Through an Interactive Video Platform: Comparative Effects of L1 Versus L2 Definitions and Kana Versus Kanji Presentation

Japanese Vocabulary Learning Through an Interactive Video Platform: Comparative Effects of L1 Versus L2 Definitions and Kana Versus Kanji Presentation Ryler Jay Nielsen Center for Language Studies, BYU Master of Arts Advances in digital technology have recently allowed for richer text annotation in combination with authentic second language video media. As a result, many educational researchers are focusing increased attention on the effect this application of technology can have on second language acquisition. This study examines the comparative effectiveness of target vocabulary treatments with either native language (L1) definitions or target language (L2) definitions when target vocabulary is presented in either kana or kanji as a part of the subtitles of an L2 film based on participant performance on vocabulary assessments. This study also examines the participants’ perceived levels of helpfulness of the varying word treatments. The results of the study suggest that providing annotations for target words in the L2 increases learning of that word more than L1 annotations for intermediate learners of Japanese. On the other hand, learners rated access to definitions in L1 as more helpful than L2 definitions, and they expressed their preference for understanding the story more than learning the target vocabulary.
Visual data processing over structured dictionaries with applications in light field imaging

Structure exists in all forms of visual data in the nature. In this thesis, we focus on modeling these data structures using sparse representation techniques over a redundant dictionary, which has been proven as an e cient tool in numerous visual signal processing applications. We propose several types of redundant dictionaries with specially designed structures that adapts to the unique application scenarios. Di erent sparse coding and dictionary training strategies are investigated. Considerations are given to challenging issues such as multi-scale dictionary cross-scale interactions, dictionary disparity segment de-correlation, perspective-shifted dictionary sparse coding acceleration etc. All e orts aim to provide a more powerful frame for representing complicated visual data structures. For sparse signal representation, the sparsity across the scales is a promising yet under investigated direction. In this thesis, we design a multi-scale sparse representation scheme to explore such potential. A multi-scale dictionary (MD) structure is designed. A Cross-scale Matching Pursuit (CMP) algorithm is proposed for multi-scale sparse coding. Two dictionary learning methods: Cross-scale Cooperative Learning MD/CCL), and Cross-scale Atom Clustering (MD/CAC) are proposed with each focusing on one of the two important attributes of an e cient multi-scale dictionary: the similarity, and uniqueness of corresponding atoms in di erent scales. We analyze
Circumnuclear Structures in Megamaser Host Galaxies

Using the Hubble Space Telescope, we identify circumnuclear (100–500 pc scale) structures in nine new H2O megamaser host galaxies to understand the flow of matter from kpc-scale galactic structures down to the supermassive black holes (SMBHs) at galactic centers. We double the sample analyzed in a similar way by Greene et al. and consider the properties of the combined sample of 18 sources. We find that disk-like structure is virtually ubiquitous when we can resolve <200 pc scales, in support of the notion that non-axisymmetries on these scales are a necessary condition for SMBH fueling. We perform an analysis of the orientation of our identified nuclear regions and compare it with the orientation of megamaser disks and the kpc-scale disks of the hosts. We find marginal evidence that the disk-like nuclear structures show increasing misalignment from the kpc-scale host galaxy disk as the scale of the structure decreases. In turn, we find that the orientation of both the ∼100 pc scale nuclear structures and their host galaxy large-scale disks is consistent with random with respect to the orientation of their respective megamaser disks.
Scheduling tasks with preemptions and precedence constraints on identical parallel machines to minimise the maximum lateness

NO FULL TEXT AVAILABLE. Access is restricted indefinitely. – – This work examines in depth a collection of related scheduling problems. The problems considered all relate to the processing of tasks on machines over time, with the goal of minimising some function of the tasks’ completion times. The tasks being scheduled are subject to preemptions, that is they may be interrupted during their processing and resumed later on the same or a different set of machines. The tasks are subject to precedence constraints, meaning some tasks cannot be processed until others have been completed. The machines on which the tasks are processed are identical, meaning they have the same speed and functionality, and parallel, in contrast to scheduling models where tasks must be processed on multiple machines sequentially. This is a thoroughly investigated area of research in the literature. Due to the computational complexity of the problems considered, approximation algorithms for these problems are presented and are analysed in several ways. Several well known results are expanded to apply to more general scheduling problems, and a completely new class of results is described. In particular, the solvable cases of some approximation algorithms – i.e. the situations under which the algorithms provide an optimal solution to the considered problem – are examined in more detail than heretofore. Bounds on the worst case of the considered algorithms are also presented, as are results regarding the computational complexity of certain subproblems. The goal of this work is to advance the understanding of this focused but significant area of research, and present a wide variety of results relating to it.
Free fatty acid receptor (FFA) and lipid receptor (GPR119) signalling mediates nutrient-sensing in mouse intestine

2 Publications . 12 Abbreviations . 13 Acknowledgements . 20 Chapter 1: Introduction . 21 1.1 Obesity and diabetes – a worldwide twin epidemic . 22 1.2 Overview of the gastrointestinal tract . 24 1.3 The small intestine . 26 1.3. 1 Digestion of lipids . 27 1.3. 2 Digestion of carbohydrates . 28 1.3. 3 Digestion of proteins . 30 1.4 The large intestine . 32 1.5 Structural organisation of the intestine . 34 1.5. 1 The intestinal mucosa . 34 1.5. 2 Submucosal plexus and deep muscular plexus . 38 1.5. 3 Serosa . 39 1.6 The enteric nervous system . 39 1.6. 1 Intrinsic primary afferent neurons . 41 1.6. 2 Motor neurons . 42 1.6. 3 Secretomotor neurons. 43 1.6. 4 Interneurons. 44 1.6. 5 Vagal innervation of the GI tract and intestinofugal GI neurons . 45 1.7 Gastrointestinal nutrient sensing and the enteroendocrine L cell . 46 1.7. 1 RYGB surgery increases postprandial PYY and GLP-1 plasma concentrations and therefore the L cell is an attractive anti-obesity and anti-diabetic target . 49 1.8 The FFA1 (GPR40) receptor . 51 1.8. 1 FFA1 signalling transduction in enteroendocrine L cells and pancreatic β cells . 52
Multi Terminal Direct Current Grids Modeling Analysis And Control

Thank you for downloading multi terminal direct current grids modeling analysis and control. Maybe you have knowledge that, people have look numerous times for their favorite books like this multi terminal direct current grids modeling analysis and control, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their desktop computer.
Resources and parsing.

1 ACKNOWLEDGEMENTS. 10 CHAPTER ONE: INTRODUCTION. 12 1.1 QUESTIONS AND THESIS PLAN . 12 1.1 Language and Memory. 12 1.2 Thesis Plan . 13 CHAPTER TWO: PARSING. 18 2.1 OVERVIEW. 18 2.2 QUESTIONS AND ASSUMPTIONS . 18 2.2.1 What is Language? 18 2.2.2 What is Parsing? 18 2.2.3 Separating Syntax and Semantics . 19 2.2.4 Separating Production and Comprehension . 20 2.2. 5 Separating Writing and Speaking . 21 2.3 METHODOLOGIES . 23 2.3. 1 Immediate Access Techniques. 26 2.3. 2 Delayed Access Techniques . 29 2.3 CLASSES OF PARSING MODELS . 32 2.3. 1 Serial parsers. 32 2.3. 2 Delayed Attachment Parsers. 36 2.3. 3 Parallel Parsers. 37 2.3. 4 Predictions. 37 2.3. 5 Evidence. 38 2.4 DIFFERENCES IN PARSING . 42 2.4. 1 Language differences in parsing. 42 2.4. 2 Individual differences in parsing . 49 CHAPTER THREE: THE ROLE OF RESOURCES . 52 3.
N‐Heterocyclic Carbene‐palladium(II)‐1‐methylimidazole Complex Catalyzed Allyl‐Aryl Coupling of Allylic Alcohols with Arylboronic Acids in Neat Water.

A well-defined NHC-Pd(II)-Im complex 1 showed efficient catalytic activity toward the allyl-aryl coupling of allylic alcohols with arylboronic acids in neat water. Under the optimal reaction conditions, all reactions proceeded smoothly to give the corresponding coupling products in moderate to high yields.
Lecturers’ Method in Teaching Speaking at the University of Iqra Buru

This research aimed to reveal; (1) what method was applied by lecturers in teaching speaking; (2) how was the method applied in the classroom; and (3) how was the students’ perception toward the implementation of the method. This research employed qualitative research. The respondent of the current research were two non-native English lecturers who taught at the University of Iqra Buru in Ambon, Maluku. To collect the data, three kinds of the instrument were used; observation, interview and documents examination. The data were analyzed using Miles & Huberman technique who proposed three concurrent flows of action: a) data reduction; b) data display; and c) conclusion drawing/verification. The researchers found that; 1) The most of the method used in teaching speaking were grammar translation method, task-based, and lexical approach; 2) The implementing method in teaching speaking at the university consisted of material presentation and classroom discussion; 3) The students have bad perception toward the implementation of lecturers’ method and learning activities in teaching speaking.